[ { "path": ".dockerignore", "content": "# Node modules（前端本地开发产物，Docker 构建时会重新安装）\nfrontend/node_modules\nfrontend/.next\n\n# Python 虚拟环境\n.venv\n__pycache__\n*.pyc\n\n# 日志和临时文件\n*.log\n.DS_Store\n\n# Git\n.git\n.gitignore\n\n# IDE\n.idea\n.vscode\n\n# Docker 相关（避免嵌套）\ndocker/.env\n" }, { "path": ".github/workflows/docker-build.yml", "content": "name: Build and Push Docker Images\n\non:\n push:\n tags:\n - 'v*' # 只在推送 v 开头的 tag 时触发（如 v1.0.0）\n workflow_dispatch: # 手动触发\n\n# 并发控制：同一分支只保留最新的构建，取消之前正在运行的\nconcurrency:\n group: ${{ github.workflow }}-${{ github.ref }}\n cancel-in-progress: true\n\nenv:\n REGISTRY: docker.io\n IMAGE_PREFIX: yyhuni\n\npermissions:\n contents: write\n\njobs:\n # AMD64 构建（原生 x64 runner）\n build-amd64:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n include:\n - image: xingrin-server\n dockerfile: docker/server/Dockerfile\n context: .\n - image: xingrin-frontend\n dockerfile: docker/frontend/Dockerfile\n context: .\n - image: xingrin-worker\n dockerfile: docker/worker/Dockerfile\n context: .\n - image: xingrin-nginx\n dockerfile: docker/nginx/Dockerfile\n context: .\n - image: xingrin-agent\n dockerfile: docker/agent/Dockerfile\n context: .\n - image: xingrin-postgres\n dockerfile: docker/postgres/Dockerfile\n context: docker/postgres\n\n steps:\n - name: Checkout\n uses: actions/checkout@v4\n\n - name: Free disk space\n run: |\n sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc /opt/hostedtoolcache/CodeQL\n sudo docker image prune -af\n\n - name: Generate SSL certificates for nginx build\n if: matrix.image == 'xingrin-nginx'\n run: |\n mkdir -p docker/nginx/ssl\n openssl req -x509 -nodes -days 365 -newkey rsa:2048 \\\n -keyout docker/nginx/ssl/privkey.pem \\\n -out docker/nginx/ssl/fullchain.pem \\\n -subj \"/CN=localhost\"\n\n - name: Set up Docker Buildx\n uses: docker/setup-buildx-action@v3\n\n - name: Login to Docker Hub\n uses: docker/login-action@v3\n with:\n username: ${{ secrets.DOCKERHUB_USERNAME }}\n password: ${{ secrets.DOCKERHUB_TOKEN }}\n\n - name: Get version\n id: version\n run: |\n if [[ $GITHUB_REF == refs/tags/* ]]; then\n echo \"VERSION=${GITHUB_REF#refs/tags/}\" >> $GITHUB_OUTPUT\n else\n echo \"VERSION=dev-$(git rev-parse --short HEAD)\" >> $GITHUB_OUTPUT\n fi\n\n - name: Build and push AMD64\n uses: docker/build-push-action@v5\n with:\n context: ${{ matrix.context }}\n file: ${{ matrix.dockerfile }}\n platforms: linux/amd64\n push: true\n tags: ${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:${{ steps.version.outputs.VERSION }}-amd64\n build-args: IMAGE_TAG=${{ steps.version.outputs.VERSION }}\n cache-from: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-amd64\n cache-to: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-amd64,mode=max\n provenance: false\n sbom: false\n\n # ARM64 构建（原生 ARM64 runner）\n build-arm64:\n runs-on: ubuntu-22.04-arm\n strategy:\n matrix:\n include:\n - image: xingrin-server\n dockerfile: docker/server/Dockerfile\n context: .\n - image: xingrin-frontend\n dockerfile: docker/frontend/Dockerfile\n context: .\n - image: xingrin-worker\n dockerfile: docker/worker/Dockerfile\n context: .\n - image: xingrin-nginx\n dockerfile: docker/nginx/Dockerfile\n context: .\n - image: xingrin-agent\n dockerfile: docker/agent/Dockerfile\n context: .\n - image: xingrin-postgres\n dockerfile: docker/postgres/Dockerfile\n context: docker/postgres\n\n steps:\n - name: Checkout\n uses: actions/checkout@v4\n\n - name: Generate SSL certificates for nginx build\n if: matrix.image == 'xingrin-nginx'\n run: |\n mkdir -p docker/nginx/ssl\n openssl req -x509 -nodes -days 365 -newkey rsa:2048 \\\n -keyout docker/nginx/ssl/privkey.pem \\\n -out docker/nginx/ssl/fullchain.pem \\\n -subj \"/CN=localhost\"\n\n - name: Set up Docker Buildx\n uses: docker/setup-buildx-action@v3\n\n - name: Login to Docker Hub\n uses: docker/login-action@v3\n with:\n username: ${{ secrets.DOCKERHUB_USERNAME }}\n password: ${{ secrets.DOCKERHUB_TOKEN }}\n\n - name: Get version\n id: version\n run: |\n if [[ $GITHUB_REF == refs/tags/* ]]; then\n echo \"VERSION=${GITHUB_REF#refs/tags/}\" >> $GITHUB_OUTPUT\n else\n echo \"VERSION=dev-$(git rev-parse --short HEAD)\" >> $GITHUB_OUTPUT\n fi\n\n - name: Build and push ARM64\n uses: docker/build-push-action@v5\n with:\n context: ${{ matrix.context }}\n file: ${{ matrix.dockerfile }}\n platforms: linux/arm64\n push: true\n tags: ${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:${{ steps.version.outputs.VERSION }}-arm64\n build-args: IMAGE_TAG=${{ steps.version.outputs.VERSION }}\n cache-from: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-arm64\n cache-to: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-arm64,mode=max\n provenance: false\n sbom: false\n\n # 合并多架构 manifest\n merge-manifests:\n runs-on: ubuntu-latest\n needs: [build-amd64, build-arm64]\n strategy:\n matrix:\n image:\n - xingrin-server\n - xingrin-frontend\n - xingrin-worker\n - xingrin-nginx\n - xingrin-agent\n - xingrin-postgres\n steps:\n - name: Login to Docker Hub\n uses: docker/login-action@v3\n with:\n username: ${{ secrets.DOCKERHUB_USERNAME }}\n password: ${{ secrets.DOCKERHUB_TOKEN }}\n\n - name: Get version\n id: version\n run: |\n if [[ $GITHUB_REF == refs/tags/* ]]; then\n echo \"VERSION=${GITHUB_REF#refs/tags/}\" >> $GITHUB_OUTPUT\n echo \"IS_RELEASE=true\" >> $GITHUB_OUTPUT\n else\n echo \"VERSION=dev-$(git rev-parse --short HEAD)\" >> $GITHUB_OUTPUT\n echo \"IS_RELEASE=false\" >> $GITHUB_OUTPUT\n fi\n\n - name: Create and push multi-arch manifest\n run: |\n VERSION=${{ steps.version.outputs.VERSION }}\n IMAGE=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}\n \n docker manifest create ${IMAGE}:${VERSION} \\\n ${IMAGE}:${VERSION}-amd64 \\\n ${IMAGE}:${VERSION}-arm64\n docker manifest push ${IMAGE}:${VERSION}\n \n if [[ \"${{ steps.version.outputs.IS_RELEASE }}\" == \"true\" ]]; then\n docker manifest create ${IMAGE}:latest \\\n ${IMAGE}:${VERSION}-amd64 \\\n ${IMAGE}:${VERSION}-arm64\n docker manifest push ${IMAGE}:latest\n fi\n\n # 更新 VERSION 文件\n update-version:\n runs-on: ubuntu-latest\n needs: merge-manifests\n if: startsWith(github.ref, 'refs/tags/v')\n steps:\n - name: Checkout repository\n uses: actions/checkout@v4\n with:\n fetch-depth: 0 # 获取完整历史，用于判断 tag 所在分支\n token: ${{ secrets.GITHUB_TOKEN }}\n\n - name: Determine source branch and version\n id: branch\n run: |\n VERSION=\"${GITHUB_REF#refs/tags/}\"\n \n # 查找包含此 tag 的分支\n BRANCHES=$(git branch -r --contains ${{ github.ref_name }})\n echo \"Branches containing tag: $BRANCHES\"\n \n # 判断 tag 来自哪个分支\n if echo \"$BRANCHES\" | grep -q \"origin/main\"; then\n TARGET_BRANCH=\"main\"\n UPDATE_LATEST=\"true\"\n elif echo \"$BRANCHES\" | grep -q \"origin/dev\"; then\n TARGET_BRANCH=\"dev\"\n UPDATE_LATEST=\"false\"\n else\n echo \"Warning: Tag not found in main or dev branch, defaulting to main\"\n TARGET_BRANCH=\"main\"\n UPDATE_LATEST=\"false\"\n fi\n \n echo \"BRANCH=$TARGET_BRANCH\" >> $GITHUB_OUTPUT\n echo \"VERSION=$VERSION\" >> $GITHUB_OUTPUT\n echo \"UPDATE_LATEST=$UPDATE_LATEST\" >> $GITHUB_OUTPUT\n echo \"Will update VERSION on branch: $TARGET_BRANCH\"\n\n - name: Checkout target branch\n run: |\n git checkout ${{ steps.branch.outputs.BRANCH }}\n\n - name: Update VERSION file\n run: |\n VERSION=\"${{ steps.branch.outputs.VERSION }}\"\n echo \"$VERSION\" > VERSION\n echo \"Updated VERSION to $VERSION on branch ${{ steps.branch.outputs.BRANCH }}\"\n\n - name: Commit and push\n run: |\n git config user.name \"github-actions[bot]\"\n git config user.email \"github-actions[bot]@users.noreply.github.com\"\n git add VERSION\n git diff --staged --quiet || git commit -m \"chore: bump version to ${{ steps.branch.outputs.VERSION }}\"\n git push origin ${{ steps.branch.outputs.BRANCH }}\n" }, { "path": ".gitignore", "content": "# ============================\n# 操作系统相关文件\n# ============================\n.DS_Store\n.DS_Store?\n._*\n.Spotlight-V100\n.Trashes\nehthumbs.db\nThumbs.db\n\n# ============================\n# 前端 (Next.js/Node.js) 相关\n# ============================\n# 依赖目录\nfront-back/node_modules/\nfront-back/.pnpm-store/\n\n# Next.js 构建产物\nfront-back/.next/\nfront-back/out/\nfront-back/dist/\n\n# 环境变量文件\nfront-back/.env\nfront-back/.env.local\nfront-back/.env.development.local\nfront-back/.env.test.local\nfront-back/.env.production.local\n\n# 运行时和缓存\nfront-back/.turbo/\nfront-back/.swc/\nfront-back/.eslintcache\nfront-back/.tsbuildinfo\n\n# ============================\n# 后端 (Python/Django) 相关\n# ============================\n# Python 虚拟环境\n.venv/\nvenv/\nenv/\nENV/\n\n# Python 编译文件\n*.pyc\n*.pyo\n*.pyd\n__pycache__/\n*.py[cod]\n*$py.class\n\n# Django 相关\nbackend/db.sqlite3\nbackend/db.sqlite3-journal\nbackend/media/\nbackend/staticfiles/\nbackend/.env\nbackend/.env.local\n\n# Python 测试和覆盖率\n.pytest_cache/\n.coverage\nhtmlcov/\n*.cover\n.hypothesis/\n\n# ============================\n# 后端 (Go) 相关\n# ============================\n# 编译产物\nbackend/bin/\nbackend/dist/\nbackend/*.exe\nbackend/*.exe~\nbackend/*.dll\nbackend/*.so\nbackend/*.dylib\n\n# 测试相关\nbackend/*.test\nbackend/*.out\nbackend/*.prof\n\n# Go workspace 文件\nbackend/go.work\nbackend/go.work.sum\n\n# Go 依赖管理\nbackend/vendor/\n\n# ============================\n# IDE 和编辑器相关\n# ============================\n.vscode/\n.idea/\n.cursor/\n.claude/\n.kiro/\n.playwright-mcp/\n*.swp\n*.swo\n*~\n\n# ============================\n# Docker 相关\n# ============================\ndocker/.env\ndocker/.env.local\n\n# SSL 证书和私钥（不应提交）\ndocker/nginx/ssl/*.pem\ndocker/nginx/ssl/*.key\ndocker/nginx/ssl/*.crt\n\n# ============================\n# 日志文件和扫描结果\n# ============================\n*.log\nlogs/\nresults/\n\n# 开发脚本运行时文件（进程 ID 和启动日志）\nbackend/scripts/dev/.pids/\n\n# ============================\n# 临时文件\n# ============================\ntmp/\ntemp/\n.cache/\n\nHGETALL\nKEYS\nvuln_scan/input_endpoints.txt\nopen-in-v0" }, { "path": "CODE_OF_CONDUCT.md", "content": "# Contributor Covenant Code of Conduct\n\n## Our Pledge\n\n我们作为成员、贡献者和维护者，承诺让社区中的每个人都能在没有骚扰的环境中参与项目，不论年龄、体型、可见或不可见残障、族裔、性别特征、性别认同和表达、经验水平、教育程度、社会经济地位、国籍、外貌、种族、宗教或性取向。\n\n我们承诺以开放、友善、多元和尊重的方式参与社区建设。\n\n## Our Standards\n\n积极行为示例：\n\n- 以尊重和建设性的方式给出反馈\n- 对不同观点和经验保持开放态度\n- 真诚接受合理批评并持续改进\n- 以社区整体利益为先\n\n不可接受的行为包括：\n\n- 人身攻击、侮辱、歧视或骚扰言论\n- 恶意挑衅、持续性争吵或破坏讨论秩序\n- 发布他人私人信息\n- 其他在专业环境中不适当的行为\n\n## Enforcement Responsibilities\n\n维护者有责任公平、及时地澄清和执行社区行为标准，并可对任何不当行为采取适当且公正的纠正措施。\n\n## Scope\n\n本行为准则适用于所有项目空间，也适用于代表项目参与公共场合的行为，包括使用官方邮箱、社交账号或在活动中作为项目代表发言。\n\n## Enforcement\n\n如果你遇到骚扰、辱骂或其他不可接受的行为，请联系维护者：`poem@admin.com`。\n\n所有投诉都会被审查并得到适当回应。\n\n## Attribution\n\n本行为准则参考 Contributor Covenant，并根据本项目需要进行了简化整理。\n" }, { "path": "CONTRIBUTING.md", "content": "# Contributing to XingRin\n\n感谢你愿意为 XingRin 做出贡献。\n\n## 贡献方式\n\n- 提交 Bug 报告\n- 提出功能建议或产品想法\n- 改进文档、安装流程和示例\n- 提交代码修复或新功能 Pull Request\n\n## 开始之前\n\n在开始较大改动前，建议先创建 Issue 说明背景、目标和实现方向，避免重复工作。\n\n对于小修复、文档修正和明显 Bug，也欢迎直接提交 Pull Request。\n\n## Pull Request 建议\n\n- 保持改动聚焦，避免把无关修改混在一个 PR 中\n- 尽量补充必要的说明、截图或复现步骤\n- 如果涉及安全相关行为，请明确测试范围和授权前提\n- 与现有代码风格、命名和目录结构保持一致\n\n## Issue 建议\n\n提交 Issue 时，建议附上：\n\n- 使用场景\n- 复现步骤\n- 实际结果与预期结果\n- 日志、截图或错误信息\n- 运行环境信息\n\n## 许可证约定\n\n提交 Pull Request 即表示你确认：\n\n- 你有权提交这些代码、文档或资源\n- 你的贡献将以本仓库当前使用的 [MIT License](./LICENSE) 发布\n\n## 社区协作\n\n参与社区前，请先阅读 [Code of Conduct](./CODE_OF_CONDUCT.md)。\n\n感谢你的时间、想法和贡献。\n" }, { "path": "LICENSE", "content": "MIT License\n\nCopyright (c) 2025-2026 yyhuni\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n" }, { "path": "README.md", "content": "

XingRin - 星环

\n\n

\n 开源攻击面管理平台 (ASM) | 面向授权安全测试与防御研究的资产发现与安全自动化系统\n

\n\n

\n 持续维护中：由于现在架构，代码对于ai开发来说，演化进度难度很高，代码原生分布式能力弱，为了适应项目的长期发展，正在进行新一代架构重构，后端采用 Go 语言为核心，其强大的分布式能力是目前最优解，当前版本暂停维护，Issue、建议和 PR 都欢迎提交，旧项目的所有建议，都会逐步迁移到新版本。预计5-6月份上线新仓库，欢迎入群等待。\n

\n\n\n

\n \"GitHub\n \"GitHub\n \"GitHub\n \"License\"\n

\n\n

\n 功能特性 •\n 资产搜索 •\n 快速开始 •\n 文档 •\n 反馈与贡献\n

\n\n

\n 关键词: Open Source | ASM | 攻击面管理 | 授权安全测试 | 防御研究 | 资产发现 | 资产搜索 | 安全自动化 | 风险检测 | 子域名枚举 | EASM\n

\n\n---\n## 在线 Demo\n\n **[https://xingrin.vercel.app/](https://xingrin.vercel.app/)**\n\n> 仅用于 UI 展示，未接入后端数据库\n\n> XingRin 聚焦 **自有资产管理、授权安全测试与防御研究** 场景，帮助安全团队对互联网暴露面进行持续发现、监控与分析。\n\n---\n\n

\n 现代化 UI\n

\n\n

\n \"Light\n \"Bubblegum\"\n \"Cosmic\n \"Quantum\n

\n\n## 文档\n\n- [技术文档](./docs/README.md) - 技术文档导航（持续完善中）\n- [快速开始](./docs/quick-start.md) - 一键安装和部署指南\n- [版本管理](./docs/version-management.md) - Git Tag 驱动的自动化版本管理系统\n- [安全检测模板架构](./docs/nuclei-template-architecture.md) - 检测模板仓库的存储与同步\n- [字典文件架构](./docs/wordlist-architecture.md) - 字典文件的存储与同步\n- [扫描流程架构](./docs/scan-flow-architecture.md) - 完整扫描流程与工具编排\n- [贡献指南](./CONTRIBUTING.md) - Issue、Pull Request 与贡献约定\n- [安全策略](./SECURITY.md) - 漏洞报告与安全响应流程\n- [行为准则](./CODE_OF_CONDUCT.md) - 社区协作行为规范\n\n\n---\n\n## 功能特性\n\n### 扫描能力\n\n| 功能 | 状态 | 工具 | 说明 |\n|------|------|------|------|\n| 子域名扫描 | 已完成 | Subfinder, Amass, PureDNS | 被动收集 + 主动枚举，聚合 50+ 数据源 |\n| 端口扫描 | 已完成 | Naabu | 自定义端口范围 |\n| 站点发现 | 已完成 | HTTPX | HTTP 探测，自动获取标题、状态码、技术栈 |\n| 指纹识别 | 已完成 | XingFinger | 2.7W+ 指纹规则，多源指纹库 |\n| URL 收集 | 已完成 | Waymore, Katana | 历史数据 + 主动爬取 |\n| 目录扫描 | 已完成 | FFUF | 高效探测，智能字典 |\n| 安全检测 | 已完成 | Nuclei, Dalfox | 9000+ 检测模板，覆盖常见 Web 风险与配置问题 |\n| 站点截图 | 已完成 | Playwright | WebP 高压缩存储 |\n\n### 平台能力\n\n| 功能 | 状态 | 说明 |\n|------|------|------|\n| 目标管理 | 已完成 | 多层级组织，支持域名/IP 目标 |\n| 资产快照 | 已完成 | 扫描结果对比，追踪资产变化 |\n| 黑名单过滤 | 已完成 | 全局 + Target 级，支持通配符/CIDR |\n| 定时任务 | 已完成 | Cron 表达式，自动化周期扫描 |\n| 分布式扫描 | 已完成 | 多 Worker 节点，负载感知调度 |\n| 全局搜索 | 已完成 | 表达式语法，多字段组合查询 |\n| 通知推送 | 已完成 | 企业微信、Telegram、Discord |\n| API 密钥管理 | 已完成 | 可视化配置各数据源 API Key |\n\n### 扫描流程架构\n\n完整的扫描流程包括：子域名发现、端口扫描、站点发现、指纹识别、URL 收集、目录扫描、安全检测等阶段\n\n```mermaid\nflowchart LR\n START[\"开始扫描\"]\n \n subgraph STAGE1[\"阶段 1: 资产发现\"]\n direction TB\n SUB[\"子域名发现
subfinder, amass, puredns\"]\n PORT[\"端口扫描
naabu\"]\n SITE[\"站点识别
httpx\"]\n FINGER[\"指纹识别
xingfinger\"]\n SUB --> PORT --> SITE --> FINGER\n end\n \n subgraph STAGE2[\"阶段 2: 深度分析\"]\n direction TB\n URL[\"URL 收集
waymore, katana\"]\n DIR[\"目录扫描
ffuf\"]\n SCREENSHOT[\"站点截图
playwright\"]\n end\n \n subgraph STAGE3[\"阶段 3: 安全检测\"]\n VULN[\"安全检测
nuclei, dalfox\"]\n end\n \n FINISH[\"扫描完成\"]\n \n START --> STAGE1\n FINGER --> STAGE2\n STAGE2 --> STAGE3\n STAGE3 --> FINISH\n \n style START fill:#34495e,stroke:#2c3e50,stroke-width:2px,color:#fff\n style FINISH fill:#27ae60,stroke:#229954,stroke-width:2px,color:#fff\n style STAGE1 fill:#3498db,stroke:#2980b9,stroke-width:2px,color:#fff\n style STAGE2 fill:#9b59b6,stroke:#8e44ad,stroke-width:2px,color:#fff\n style STAGE3 fill:#e67e22,stroke:#d35400,stroke-width:2px,color:#fff\n style SUB fill:#5dade2,stroke:#3498db,stroke-width:1px,color:#fff\n style PORT fill:#5dade2,stroke:#3498db,stroke-width:1px,color:#fff\n style SITE fill:#5dade2,stroke:#3498db,stroke-width:1px,color:#fff\n style FINGER fill:#5dade2,stroke:#3498db,stroke-width:1px,color:#fff\n style URL fill:#bb8fce,stroke:#9b59b6,stroke-width:1px,color:#fff\n style DIR fill:#bb8fce,stroke:#9b59b6,stroke-width:1px,color:#fff\n style SCREENSHOT fill:#bb8fce,stroke:#9b59b6,stroke-width:1px,color:#fff\n style VULN fill:#f0b27a,stroke:#e67e22,stroke-width:1px,color:#fff\n```\n\n详细说明请查看 [扫描流程架构文档](./docs/scan-flow-architecture.md)\n\n### 分布式架构\n- **多节点扫描** - 支持部署多个 Worker 节点，横向扩展扫描能力\n- **本地节点** - 零配置，安装即自动注册本地 Docker Worker\n- **远程节点** - SSH 一键部署远程 VPS 作为扫描节点\n- **负载感知调度** - 实时感知节点负载，自动分发任务到最优节点\n- **节点监控** - 实时心跳检测，CPU/内存/磁盘状态监控\n- **断线重连** - 节点离线自动检测，恢复后自动重新接入\n\n```mermaid\nflowchart TB\n subgraph MASTER[\"主服务器 (Master Server)\"]\n direction TB\n \n REDIS[\"Redis 负载缓存\"]\n \n subgraph SCHEDULER[\"任务调度器 (Task Distributor)\"]\n direction TB\n SUBMIT[\"接收扫描任务\"]\n SELECT[\"负载感知选择\"]\n DISPATCH[\"智能分发\"]\n \n SUBMIT --> SELECT\n SELECT --> DISPATCH\n end\n \n REDIS -.负载数据.-> SELECT\n end\n \n subgraph WORKERS[\"Worker 节点集群\"]\n direction TB\n \n W1[\"Worker 1 (本地)
CPU: 45% | MEM: 60%\"]\n W2[\"Worker 2 (远程)
CPU: 30% | MEM: 40%\"]\n W3[\"Worker N (远程)
CPU: 90% | MEM: 85%\"]\n end\n \n DISPATCH -->|任务分发| W1\n DISPATCH -->|任务分发| W2\n DISPATCH -->|高负载跳过| W3\n \n W1 -.心跳上报.-> REDIS\n W2 -.心跳上报.-> REDIS\n W3 -.心跳上报.-> REDIS\n```\n\n### 全局资产搜索\n- **多类型搜索** - 支持 Website 和 Endpoint 两种资产类型\n- **表达式语法** - 支持 `=`（模糊）、`==`（精确）、`!=`（不等于）操作符\n- **逻辑组合** - 支持 `&&` (AND) 和 `||` (OR) 逻辑组合\n- **多字段查询** - 支持 host、url、title、tech、status、body、header 字段\n- **CSV 导出** - 流式导出全部搜索结果，无数量限制\n\n#### 搜索语法示例\n\n```bash\n# 基础搜索\nhost=\"api\" # host 包含 \"api\"\nstatus==\"200\" # 状态码精确等于 200\ntech=\"nginx\" # 技术栈包含 nginx\n\n# 组合搜索\nhost=\"api\" && status==\"200\" # host 包含 api 且状态码为 200\ntech=\"vue\" || tech=\"react\" # 技术栈包含 vue 或 react\n\n# 复杂查询\nhost=\"admin\" && tech=\"php\" && status==\"200\"\nurl=\"/api/v1\" && status!=\"404\"\n```\n\n### 可视化界面\n- **数据统计** - 资产/漏洞统计仪表盘\n- **实时通知** - WebSocket 消息推送\n- **通知推送** - 实时企业微信，tg，discard消息推送服务\n\n---\n\n## 快速开始\n\n### 环境要求\n\n- **操作系统**: Ubuntu 20.04+ / Debian 11+ \n- **系统架构**: AMD64 (x86_64) / ARM64 (aarch64)\n- **硬件**: 2核 4G 内存起步，20GB+ 磁盘空间\n\n### 一键安装\n\n```bash\n# 克隆项目\ngit clone https://github.com/yyhuni/xingrin.git\ncd xingrin\n\n# 安装并启动（生产模式）\nsudo ./install.sh\n\n# 中国大陆用户推荐使用镜像加速（第三方加速服务可能会失效，不保证长期可用）\nsudo ./install.sh --mirror\n```\n\n> **--mirror 参数说明**\n> - 自动配置 Docker 镜像加速（国内镜像源）\n> - 加速 Git 仓库克隆（Nuclei 模板等）\n\n### 访问服务\n\n- **Web 界面**: `https://ip:8083` \n- **默认账号**: admin / admin（首次登录后请修改密码）\n\n### 常用命令\n\n```bash\n# 启动服务\nsudo ./start.sh\n\n# 停止服务\nsudo ./stop.sh\n\n# 重启服务\nsudo ./restart.sh\n\n# 卸载\nsudo ./uninstall.sh\n```\n\n## 反馈与贡献\n\n- **发现 Bug、想法或改进建议**：欢迎提交 [Issue](https://github.com/yyhuni/xingrin/issues)\n- **想直接参与开发**：欢迎发起 Pull Request，提交前建议先阅读 [贡献指南](./CONTRIBUTING.md)\n- **安全问题反馈**：请优先阅读 [安全策略](./SECURITY.md)，避免公开披露未修复漏洞\n\n## 联系\n- 微信公众号: **塔罗安全学苑**\n- 微信群去公众号底下的菜单，有个交流群，点击就可以看到了，链接过期可以私信我拉你\n\n\"微信公众号\"\n\n### 关注公众号免费领取指纹库\n\n| 指纹库 | 数量 |\n|--------|------|\n| ehole.json | 21,977 |\n| ARL.yaml | 9,264 |\n| goby.json | 7,086 |\n| FingerprintHub.json | 3,147 |\n\n> 关注公众号回复「指纹」即可获取\n\n## 赞助支持\n\n如果这个项目对你有帮助，谢谢请我能喝杯蜜雪冰城，你的star和赞助是我免费更新的动力\n\n

\n \"微信支付\"\n \"支付宝\"\n

\n\n\n\n## 安全与合规说明\n\n**重要：请在使用前仔细阅读**\n\n1. 本项目面向**授权安全测试**、**防御研究**与**自有资产攻击面管理**场景\n2. 使用者必须确保已获得目标系统、数据和环境的**明确合法授权**\n3. 请勿将本项目用于任何未经授权的扫描、入侵、破坏或其他违法行为\n4. 使用者应自行确认其行为符合所在地区法律法规、合同义务和组织政策\n5. 项目维护者**不对滥用行为负责**\n\n使用本工具即表示您同意：\n- 仅在合法授权范围内使用\n- 遵守所在地区的法律法规\n- 承担因滥用产生的一切后果\n\n## Star History\n\n如果这个项目对你有帮助，请给一个 Star 支持一下！\n\n[![Star History Chart](https://api.star-history.com/svg?repos=yyhuni/xingrin&type=Date)](https://star-history.com/#yyhuni/xingrin&Date)\n\n## 许可证\n\n本项目采用 [MIT License](LICENSE)。\n\nMIT 许可证允许商业和非商业使用、修改、分发与私有部署，但要求保留原始版权和许可证声明。\n\n请注意：开源许可证授予的是代码使用、修改和分发权限，并不构成对任何未经授权安全测试或违法行为的许可。使用者仍需自行确保其用途合法、合规且已获得明确授权。\n" }, { "path": "SECURITY.md", "content": "# Security Policy\n\n## Supported Versions\n\n安全修复优先面向以下范围：\n\n| Version | Supported |\n| --- | --- |\n| `main` 最新提交 | ✅ |\n| 最新稳定发布 | ✅ |\n| 历史旧版本 | ⚠️ 仅在风险较高且易于回补时评估 |\n\n## Reporting a Vulnerability\n\n如果你发现了潜在安全漏洞，请不要直接公开提交未修复细节。\n\n建议的报告方式：\n\n1. 通过 GitHub 私密安全报告功能提交（如果仓库已开启）\n2. 或发送邮件至 `poem@admin.com`\n\n提交时建议包含：\n\n- 漏洞类型与影响范围\n- 复现步骤或最小 PoC\n- 受影响版本、环境与配置\n- 可能的修复建议（如果有）\n\n## Response Process\n\n- 我会尽快确认收到报告\n- 我会评估影响范围、可复现性和修复优先级\n- 修复完成后，会在合适时间通过提交记录、Release 或公告说明\n\n感谢你以负责任的方式帮助改进 XingRin 的安全性。\n" }, { "path": "VERSION", "content": "v1.5.8\n" }, { "path": "backend/.gitignore", "content": "# Python\n__pycache__/\n*.py[cod]\n*$py.class\n*.so\n.Python\n*.egg-info/\ndist/\nbuild/\n.hypothesis/ # Hypothesis 属性测试缓存\n\n# 虚拟环境\nvenv/\nenv/\nENV/\n\n# Django\n*.log\ndb.sqlite3\ndb.sqlite3-journal\n/media\n/staticfiles\n\n# 运行时文件（Flower、PID）\n/var/*\n!/var/.gitkeep\nflower.db\npids/\nscript/dev/.pids/\n\n# 扫描结果和日志（后端数据）\n/results/*\n!/results/.gitkeep\n/logs/*\n!/logs/.gitkeep\n\n# 环境变量（敏感信息）\n.env\n.env.development\n.env.production\n.env.staging\n# 只提交模板文件：.env.*.example\n\n# IDE\n.vscode/\n.idea/\n*.swp\n*.swo\n*~\n\n# macOS\n.DS_Store\n" }, { "path": "backend/apps/__init__.py", "content": "" }, { "path": "backend/apps/asset/__init__.py", "content": "" }, { "path": "backend/apps/asset/apps.py", "content": "from django.apps import AppConfig\n\n\nclass AssetConfig(AppConfig):\n default_auto_field = 'django.db.models.BigAutoField'\n name = 'apps.asset'\n" }, { "path": "backend/apps/asset/dtos/__init__.py", "content": "\"\"\"Asset DTOs - 数据传输对象\"\"\"\n\n# 资产模块 DTOs\nfrom .asset import (\n SubdomainDTO,\n WebSiteDTO,\n IPAddressDTO,\n DirectoryDTO,\n PortDTO,\n EndpointDTO,\n)\n\n# 快照模块 DTOs\nfrom .snapshot import (\n SubdomainSnapshotDTO,\n)\n\n__all__ = [\n # 资产模块\n 'SubdomainDTO',\n 'WebSiteDTO',\n 'IPAddressDTO',\n 'DirectoryDTO',\n 'PortDTO',\n 'EndpointDTO',\n # 快照模块\n 'SubdomainSnapshotDTO',\n]\n" }, { "path": "backend/apps/asset/dtos/asset/__init__.py", "content": "\"\"\"Asset DTOs - 数据传输对象\"\"\"\n\nfrom .subdomain_dto import SubdomainDTO\nfrom .ip_address_dto import IPAddressDTO\nfrom .port_dto import PortDTO\nfrom .website_dto import WebSiteDTO\nfrom .directory_dto import DirectoryDTO\nfrom .host_port_mapping_dto import HostPortMappingDTO\nfrom .endpoint_dto import EndpointDTO\nfrom .vulnerability_dto import VulnerabilityDTO\n\n__all__ = [\n 'SubdomainDTO',\n 'IPAddressDTO',\n 'PortDTO',\n 'WebSiteDTO',\n 'DirectoryDTO',\n 'HostPortMappingDTO',\n 'EndpointDTO',\n 'VulnerabilityDTO',\n]\n" }, { "path": "backend/apps/asset/dtos/asset/directory_dto.py", "content": "\"\"\"Directory DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import Optional\n\n\n@dataclass\nclass DirectoryDTO:\n \"\"\"目录数据传输对象\"\"\"\n target_id: int\n url: str\n status: Optional[int] = None\n content_length: Optional[int] = None\n words: Optional[int] = None\n lines: Optional[int] = None\n content_type: str = ''\n duration: Optional[int] = None\n" }, { "path": "backend/apps/asset/dtos/asset/endpoint_dto.py", "content": "\"\"\"Endpoint DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import Optional, List\n\n\n@dataclass\nclass EndpointDTO:\n \"\"\"端点 DTO - 资产表数据传输对象\"\"\"\n target_id: int\n url: str\n host: Optional[str] = None\n title: Optional[str] = None\n status_code: Optional[int] = None\n content_length: Optional[int] = None\n webserver: Optional[str] = None\n response_body: Optional[str] = None\n content_type: Optional[str] = None\n tech: Optional[List[str]] = None\n vhost: Optional[bool] = None\n location: Optional[str] = None\n matched_gf_patterns: Optional[List[str]] = None\n response_headers: Optional[str] = None\n \n def __post_init__(self):\n if self.tech is None:\n self.tech = []\n if self.matched_gf_patterns is None:\n self.matched_gf_patterns = []\n" }, { "path": "backend/apps/asset/dtos/asset/host_port_mapping_dto.py", "content": "\"\"\"HostPortMapping DTO\"\"\"\n\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass HostPortMappingDTO:\n \"\"\"主机端口映射 DTO（资产表）\"\"\"\n target_id: int\n host: str\n ip: str\n port: int\n" }, { "path": "backend/apps/asset/dtos/asset/ip_address_dto.py", "content": "\"\"\"IPAddress DTO\"\"\"\n\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass IPAddressDTO:\n \"\"\"\n IP地址数据传输对象\n \n 只包含 IP 自身的信息，不包含关联关系。\n 关联关系通过 SubdomainIPAssociationDTO 管理。\n \"\"\"\n ip: str\n protocol_version: str = ''\n is_private: bool = False\n reverse_pointer: str = ''\n" }, { "path": "backend/apps/asset/dtos/asset/port_dto.py", "content": "\"\"\"Port DTO\"\"\"\n\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass PortDTO:\n \"\"\"端口数据传输对象\"\"\"\n ip_address_id: int\n number: int\n service_name: str = ''\n target_id: int = None\n scan_id: int = None\n" }, { "path": "backend/apps/asset/dtos/asset/subdomain_dto.py", "content": "\"\"\"Subdomain DTO\"\"\"\n\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass SubdomainDTO:\n \"\"\"\n 子域名 DTO（纯资产表）\n \n 用于传递子域名资产数据，只包含资产本身的信息。\n 扫描相关信息存储在快照表中。\n \"\"\"\n name: str\n target_id: int # 必填：子域名必须属于某个目标\n" }, { "path": "backend/apps/asset/dtos/asset/vulnerability_dto.py", "content": "\"\"\"Vulnerability DTO\"\"\"\n\nfrom dataclasses import dataclass, field\nfrom typing import Optional, Dict, Any\nfrom decimal import Decimal\n\n\n@dataclass\nclass VulnerabilityDTO:\n \"\"\"漏洞数据传输对象（资产表用）\"\"\"\n target_id: int\n url: str\n vuln_type: str\n severity: str\n source: str = \"\"\n cvss_score: Optional[Decimal] = None\n description: str = \"\"\n raw_output: Dict[str, Any] = field(default_factory=dict)\n" }, { "path": "backend/apps/asset/dtos/asset/website_dto.py", "content": "\"\"\"WebSite DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import List, Optional\n\n\n@dataclass\nclass WebSiteDTO:\n \"\"\"网站数据传输对象\"\"\"\n target_id: int\n url: str\n host: str = ''\n title: str = ''\n status_code: Optional[int] = None\n content_length: Optional[int] = None\n location: str = ''\n webserver: str = ''\n content_type: str = ''\n tech: List[str] = None\n response_body: str = ''\n vhost: Optional[bool] = None\n created_at: str = None\n response_headers: str = ''\n \n def __post_init__(self):\n if self.tech is None:\n self.tech = []\n" }, { "path": "backend/apps/asset/dtos/snapshot/__init__.py", "content": "\"\"\"Snapshot DTOs\"\"\"\n\nfrom .subdomain_snapshot_dto import SubdomainSnapshotDTO\nfrom .host_port_mapping_snapshot_dto import HostPortMappingSnapshotDTO\nfrom .website_snapshot_dto import WebsiteSnapshotDTO\nfrom .directory_snapshot_dto import DirectorySnapshotDTO\nfrom .endpoint_snapshot_dto import EndpointSnapshotDTO\nfrom .vulnerability_snapshot_dto import VulnerabilitySnapshotDTO\n\n__all__ = [\n 'SubdomainSnapshotDTO',\n 'HostPortMappingSnapshotDTO',\n 'WebsiteSnapshotDTO',\n 'DirectorySnapshotDTO',\n 'EndpointSnapshotDTO',\n 'VulnerabilitySnapshotDTO',\n]\n" }, { "path": "backend/apps/asset/dtos/snapshot/directory_snapshot_dto.py", "content": "\"\"\"Directory Snapshot DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import Optional\nfrom apps.asset.dtos.asset import DirectoryDTO\n\n\n@dataclass\nclass DirectorySnapshotDTO:\n \"\"\"\n 目录快照数据传输对象\n \n 用于保存扫描过程中发现的目录信息到快照表\n \n 注意：target_id 只用于传递数据和转换为资产 DTO，不会保存到快照表中。\n 快照只属于 scan。\n \"\"\"\n scan_id: int\n target_id: int # 仅用于传递数据，不保存到数据库\n url: str\n status: Optional[int] = None\n content_length: Optional[int] = None\n words: Optional[int] = None\n lines: Optional[int] = None\n content_type: str = ''\n duration: Optional[int] = None\n \n def to_asset_dto(self) -> DirectoryDTO:\n \"\"\"\n 转换为资产 DTO（用于同步到资产表）\n \n 注意：去除 scan_id 字段，因为资产表不需要\n \n Returns:\n DirectoryDTO: 资产表 DTO\n \"\"\"\n return DirectoryDTO(\n target_id=self.target_id,\n url=self.url,\n status=self.status,\n content_length=self.content_length,\n words=self.words,\n lines=self.lines,\n content_type=self.content_type,\n duration=self.duration\n )\n" }, { "path": "backend/apps/asset/dtos/snapshot/endpoint_snapshot_dto.py", "content": "\"\"\"EndpointSnapshot DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import List, Optional\n\n\n@dataclass\nclass EndpointSnapshotDTO:\n \"\"\"\n 端点快照 DTO\n \n 注意：target_id 只用于传递数据和转换为资产 DTO，不会保存到快照表中。\n 快照只属于 scan。\n \"\"\"\n scan_id: int\n target_id: int # 必填，用于同步到资产表\n url: str\n host: str = '' # 主机名（域名或IP地址）\n title: str = ''\n status_code: Optional[int] = None\n content_length: Optional[int] = None\n location: str = ''\n webserver: str = ''\n content_type: str = ''\n tech: List[str] = None\n response_body: str = ''\n vhost: Optional[bool] = None\n matched_gf_patterns: List[str] = None\n response_headers: str = ''\n \n def __post_init__(self):\n if self.tech is None:\n self.tech = []\n if self.matched_gf_patterns is None:\n self.matched_gf_patterns = []\n \n def to_asset_dto(self):\n \"\"\"\n 转换为资产 DTO（用于同步到资产表）\n \n Returns:\n EndpointDTO: 资产表 DTO（移除 scan_id）\n \"\"\"\n from apps.asset.dtos.asset import EndpointDTO\n \n return EndpointDTO(\n target_id=self.target_id,\n url=self.url,\n host=self.host,\n title=self.title,\n status_code=self.status_code,\n content_length=self.content_length,\n webserver=self.webserver,\n response_body=self.response_body,\n content_type=self.content_type,\n tech=self.tech if self.tech else [],\n vhost=self.vhost,\n location=self.location,\n matched_gf_patterns=self.matched_gf_patterns if self.matched_gf_patterns else [],\n response_headers=self.response_headers,\n )\n" }, { "path": "backend/apps/asset/dtos/snapshot/host_port_mapping_snapshot_dto.py", "content": "\"\"\"HostPortMappingSnapshot DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import Optional\n\n\n@dataclass\nclass HostPortMappingSnapshotDTO:\n \"\"\"主机端口映射快照 DTO\"\"\"\n scan_id: int\n host: str\n ip: str\n port: int\n target_id: Optional[int] = None # 冗余字段，用于同步到资产表\n \n def to_asset_dto(self):\n \"\"\"\n 转换为资产 DTO（用于同步到资产表）\n \n Returns:\n HostPortMappingDTO: 资产表 DTO（移除 scan_id）\n \"\"\"\n from apps.asset.dtos.asset import HostPortMappingDTO\n \n if self.target_id is None:\n raise ValueError(\"target_id 不能为 None，无法同步到资产表\")\n \n return HostPortMappingDTO(\n target_id=self.target_id,\n host=self.host,\n ip=self.ip,\n port=self.port\n )\n" }, { "path": "backend/apps/asset/dtos/snapshot/subdomain_snapshot_dto.py", "content": "\"\"\"SubdomainSnapshot DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import TYPE_CHECKING\n\nif TYPE_CHECKING:\n from apps.asset.dtos import SubdomainDTO\n\n\n@dataclass\nclass SubdomainSnapshotDTO:\n \"\"\"\n 子域名快照 DTO\n \n 用于传递快照数据，包含完整的业务上下文信息。\n 快照表记录每次扫描的历史数据。\n \"\"\"\n name: str\n scan_id: int # 必填：快照必须关联扫描任务\n target_id: int # 必填：目标ID（用于转换为资产 DTO）\n \n def to_asset_dto(self) -> 'SubdomainDTO':\n \"\"\"\n 转换为资产 DTO（用于保存到资产表）\n \n Returns:\n SubdomainDTO: 资产 DTO（不包含 scan_id）\n \n Note:\n 资产表只存储核心数据，扫描上下文（scan_id）不保存到资产表。\n target_id 已经包含在 DTO 中，无需额外传参。\n \"\"\"\n from apps.asset.dtos import SubdomainDTO\n return SubdomainDTO(name=self.name, target_id=self.target_id)\n" }, { "path": "backend/apps/asset/dtos/snapshot/vulnerability_snapshot_dto.py", "content": "\"\"\"VulnerabilitySnapshot DTO\"\"\"\n\nfrom dataclasses import dataclass, field\nfrom typing import Optional, Dict, Any\nfrom decimal import Decimal\n\n\n@dataclass\nclass VulnerabilitySnapshotDTO:\n \"\"\"漏洞快照 DTO\n\n 对应 VulnerabilitySnapshot 模型，用于在 Service/Task 之间传递漏洞结果数据。\n\n 设计与其他快照 DTO 一致：\n - scan_id: 只属于快照表\n - target_id: 只用于转换为资产 DTO，不直接存入快照表\n \"\"\"\n\n scan_id: int\n target_id: int # 仅用于传递数据和生成资产 DTO，不保存到快照表\n url: str\n vuln_type: str\n severity: str\n source: str = \"\"\n cvss_score: Optional[Decimal] = None\n description: str = \"\"\n raw_output: Dict[str, Any] = field(default_factory=dict)\n\n def to_asset_dto(self):\n \"\"\"转换为漏洞资产 DTO（用于同步到 Vulnerability 表）。\"\"\"\n from apps.asset.dtos.asset import VulnerabilityDTO\n\n return VulnerabilityDTO(\n target_id=self.target_id,\n url=self.url,\n vuln_type=self.vuln_type,\n severity=self.severity,\n source=self.source,\n cvss_score=self.cvss_score,\n description=self.description,\n raw_output=self.raw_output,\n )\n" }, { "path": "backend/apps/asset/dtos/snapshot/website_snapshot_dto.py", "content": "\"\"\"WebsiteSnapshot DTO\"\"\"\n\nfrom dataclasses import dataclass\nfrom typing import List, Optional\n\n\n@dataclass\nclass WebsiteSnapshotDTO:\n \"\"\"\n 网站快照 DTO\n \n 注意：target_id 只用于传递数据和转换为资产 DTO，不会保存到快照表中。\n 快照只属于 scan，target 信息通过 scan.target 获取。\n \"\"\"\n scan_id: int\n target_id: int # 必填，用于同步到资产表\n url: str\n host: str\n title: str = ''\n status_code: Optional[int] = None # 统一命名：status -> status_code\n content_length: Optional[int] = None\n location: str = ''\n webserver: str = '' # 统一命名：web_server -> webserver\n content_type: str = ''\n tech: List[str] = None\n response_body: str = ''\n vhost: Optional[bool] = None\n response_headers: str = ''\n \n def __post_init__(self):\n if self.tech is None:\n self.tech = []\n \n def to_asset_dto(self):\n \"\"\"\n 转换为资产 DTO（用于同步到资产表）\n \n Returns:\n WebSiteDTO: 资产表 DTO（移除 scan_id）\n \"\"\"\n from apps.asset.dtos.asset import WebSiteDTO\n \n return WebSiteDTO(\n target_id=self.target_id,\n url=self.url,\n host=self.host,\n title=self.title,\n status_code=self.status_code,\n content_length=self.content_length,\n location=self.location,\n webserver=self.webserver,\n content_type=self.content_type,\n tech=self.tech if self.tech else [],\n response_body=self.response_body,\n vhost=self.vhost,\n response_headers=self.response_headers,\n )\n" }, { "path": "backend/apps/asset/migrations/0001_initial.py", "content": "# Generated by Django 5.2.7 on 2026-01-06 00:55\n\nimport django.contrib.postgres.fields\nimport django.contrib.postgres.indexes\nimport django.core.validators\nimport django.db.models.deletion\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ('scan', '0001_initial'),\n ('targets', '0001_initial'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='AssetStatistics',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('total_targets', models.IntegerField(default=0, help_text='目标总数')),\n ('total_subdomains', models.IntegerField(default=0, help_text='子域名总数')),\n ('total_ips', models.IntegerField(default=0, help_text='IP地址总数')),\n ('total_endpoints', models.IntegerField(default=0, help_text='端点总数')),\n ('total_websites', models.IntegerField(default=0, help_text='网站总数')),\n ('total_vulns', models.IntegerField(default=0, help_text='漏洞总数')),\n ('total_assets', models.IntegerField(default=0, help_text='总资产数（子域名+IP+端点+网站）')),\n ('prev_targets', models.IntegerField(default=0, help_text='上次目标总数')),\n ('prev_subdomains', models.IntegerField(default=0, help_text='上次子域名总数')),\n ('prev_ips', models.IntegerField(default=0, help_text='上次IP地址总数')),\n ('prev_endpoints', models.IntegerField(default=0, help_text='上次端点总数')),\n ('prev_websites', models.IntegerField(default=0, help_text='上次网站总数')),\n ('prev_vulns', models.IntegerField(default=0, help_text='上次漏洞总数')),\n ('prev_assets', models.IntegerField(default=0, help_text='上次总资产数')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='最后更新时间')),\n ],\n options={\n 'verbose_name': '资产统计',\n 'verbose_name_plural': '资产统计',\n 'db_table': 'asset_statistics',\n },\n ),\n migrations.CreateModel(\n name='StatisticsHistory',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('date', models.DateField(help_text='统计日期', unique=True)),\n ('total_targets', models.IntegerField(default=0, help_text='目标总数')),\n ('total_subdomains', models.IntegerField(default=0, help_text='子域名总数')),\n ('total_ips', models.IntegerField(default=0, help_text='IP地址总数')),\n ('total_endpoints', models.IntegerField(default=0, help_text='端点总数')),\n ('total_websites', models.IntegerField(default=0, help_text='网站总数')),\n ('total_vulns', models.IntegerField(default=0, help_text='漏洞总数')),\n ('total_assets', models.IntegerField(default=0, help_text='总资产数')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')),\n ],\n options={\n 'verbose_name': '统计历史',\n 'verbose_name_plural': '统计历史',\n 'db_table': 'statistics_history',\n 'ordering': ['-date'],\n 'indexes': [models.Index(fields=['date'], name='statistics__date_1d29cd_idx')],\n },\n ),\n migrations.CreateModel(\n name='Directory',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.CharField(help_text='完整请求 URL', max_length=2000)),\n ('status', models.IntegerField(blank=True, help_text='HTTP 响应状态码', null=True)),\n ('content_length', models.BigIntegerField(blank=True, help_text='响应体字节大小（Content-Length 或实际长度）', null=True)),\n ('words', models.IntegerField(blank=True, help_text='响应体中单词数量（按空格分割）', null=True)),\n ('lines', models.IntegerField(blank=True, help_text='响应体行数（按换行符分割）', null=True)),\n ('content_type', models.CharField(blank=True, default='', help_text='响应头 Content-Type 值', max_length=200)),\n ('duration', models.BigIntegerField(blank=True, help_text='请求耗时（单位：纳秒）', null=True)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('target', models.ForeignKey(help_text='所属的扫描目标', on_delete=django.db.models.deletion.CASCADE, related_name='directories', to='targets.target')),\n ],\n options={\n 'verbose_name': '目录',\n 'verbose_name_plural': '目录',\n 'db_table': 'directory',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='directory_created_2cef03_idx'), models.Index(fields=['target'], name='directory_target__e310c8_idx'), models.Index(fields=['url'], name='directory_url_ba40cd_idx'), models.Index(fields=['status'], name='directory_status_40bbe6_idx'), django.contrib.postgres.indexes.GinIndex(fields=['url'], name='directory_url_trgm_idx', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('target', 'url'), name='unique_directory_url_target')],\n },\n ),\n migrations.CreateModel(\n name='DirectorySnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.CharField(help_text='目录URL', max_length=2000)),\n ('status', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)),\n ('content_length', models.BigIntegerField(blank=True, help_text='内容长度', null=True)),\n ('words', models.IntegerField(blank=True, help_text='响应体中单词数量（按空格分割）', null=True)),\n ('lines', models.IntegerField(blank=True, help_text='响应体行数（按换行符分割）', null=True)),\n ('content_type', models.CharField(blank=True, default='', help_text='响应头 Content-Type 值', max_length=200)),\n ('duration', models.BigIntegerField(blank=True, help_text='请求耗时（单位：纳秒）', null=True)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='directory_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '目录快照',\n 'verbose_name_plural': '目录快照',\n 'db_table': 'directory_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='directory_s_scan_id_c45900_idx'), models.Index(fields=['url'], name='directory_s_url_b4b72b_idx'), models.Index(fields=['status'], name='directory_s_status_e9f57e_idx'), models.Index(fields=['content_type'], name='directory_s_content_45e864_idx'), models.Index(fields=['-created_at'], name='directory_s_created_eb9d27_idx'), django.contrib.postgres.indexes.GinIndex(fields=['url'], name='dir_snap_url_trgm', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_directory_per_scan_snapshot')],\n },\n ),\n migrations.CreateModel(\n name='Endpoint',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.TextField(help_text='最终访问的完整URL')),\n ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)),\n ('location', models.TextField(blank=True, default='', help_text='重定向地址（HTTP 3xx 响应头 Location）')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('title', models.TextField(blank=True, default='', help_text='网页标题（HTML 标签内容）')),\n ('webserver', models.TextField(blank=True, default='', help_text='服务器类型（HTTP 响应头 Server 值）')),\n ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')),\n ('content_type', models.TextField(blank=True, default='', help_text='响应类型（HTTP Content-Type 响应头）')),\n ('tech', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='技术栈（服务器/框架/语言等）', size=None)),\n ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)),\n ('content_length', models.IntegerField(blank=True, help_text='响应体大小（单位字节）', null=True)),\n ('vhost', models.BooleanField(blank=True, help_text='是否支持虚拟主机', null=True)),\n ('matched_gf_patterns', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='匹配的GF模式列表，用于识别敏感端点（如api, debug, config等）', size=None)),\n ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')),\n ('target', models.ForeignKey(help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）', on_delete=django.db.models.deletion.CASCADE, related_name='endpoints', to='targets.target')),\n ],\n options={\n 'verbose_name': '端点',\n 'verbose_name_plural': '端点',\n 'db_table': 'endpoint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='endpoint_created_44fe9c_idx'), models.Index(fields=['target'], name='endpoint_target__7f9065_idx'), models.Index(fields=['url'], name='endpoint_url_30f66e_idx'), models.Index(fields=['host'], name='endpoint_host_5b4cc8_idx'), models.Index(fields=['status_code'], name='endpoint_status__5d4fdd_idx'), models.Index(fields=['title'], name='endpoint_title_29e26c_idx'), django.contrib.postgres.indexes.GinIndex(fields=['tech'], name='endpoint_tech_2bfa7c_gin'), django.contrib.postgres.indexes.GinIndex(fields=['response_headers'], name='endpoint_resp_headers_trgm_idx', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['url'], name='endpoint_url_trgm_idx', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['title'], name='endpoint_title_trgm_idx', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('url', 'target'), name='unique_endpoint_url_target')],\n },\n ),\n migrations.CreateModel(\n name='EndpointSnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.TextField(help_text='端点URL')),\n ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)),\n ('title', models.TextField(blank=True, default='', help_text='页面标题')),\n ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)),\n ('content_length', models.IntegerField(blank=True, help_text='内容长度', null=True)),\n ('location', models.TextField(blank=True, default='', help_text='重定向位置')),\n ('webserver', models.TextField(blank=True, default='', help_text='Web服务器')),\n ('content_type', models.TextField(blank=True, default='', help_text='内容类型')),\n ('tech', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='技术栈', size=None)),\n ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')),\n ('vhost', models.BooleanField(blank=True, help_text='虚拟主机标志', null=True)),\n ('matched_gf_patterns', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='匹配的GF模式列表', size=None)),\n ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='endpoint_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '端点快照',\n 'verbose_name_plural': '端点快照',\n 'db_table': 'endpoint_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='endpoint_sn_scan_id_6ac9a7_idx'), models.Index(fields=['url'], name='endpoint_sn_url_205160_idx'), models.Index(fields=['host'], name='endpoint_sn_host_577bfd_idx'), models.Index(fields=['title'], name='endpoint_sn_title_516a05_idx'), models.Index(fields=['status_code'], name='endpoint_sn_status__83efb0_idx'), models.Index(fields=['webserver'], name='endpoint_sn_webserv_66be83_idx'), models.Index(fields=['-created_at'], name='endpoint_sn_created_21fb5b_idx'), django.contrib.postgres.indexes.GinIndex(fields=['tech'], name='endpoint_sn_tech_0d0752_gin'), django.contrib.postgres.indexes.GinIndex(fields=['response_headers'], name='ep_snap_resp_hdr_trgm', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['url'], name='ep_snap_url_trgm', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['title'], name='ep_snap_title_trgm', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_endpoint_per_scan_snapshot')],\n },\n ),\n migrations.CreateModel(\n name='HostPortMapping',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('host', models.CharField(help_text='主机名（域名或IP）', max_length=1000)),\n ('ip', models.GenericIPAddressField(help_text='IP地址')),\n ('port', models.IntegerField(help_text='端口号（1-65535）', validators=[django.core.validators.MinValueValidator(1, message='端口号必须大于等于1'), django.core.validators.MaxValueValidator(65535, message='端口号必须小于等于65535')])),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('target', models.ForeignKey(help_text='所属的扫描目标', on_delete=django.db.models.deletion.CASCADE, related_name='host_port_mappings', to='targets.target')),\n ],\n options={\n 'verbose_name': '主机端口映射',\n 'verbose_name_plural': '主机端口映射',\n 'db_table': 'host_port_mapping',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['target'], name='host_port_m_target__943e9b_idx'), models.Index(fields=['host'], name='host_port_m_host_f78363_idx'), models.Index(fields=['ip'], name='host_port_m_ip_2e6f02_idx'), models.Index(fields=['port'], name='host_port_m_port_9fb9ff_idx'), models.Index(fields=['host', 'ip'], name='host_port_m_host_3ce245_idx'), models.Index(fields=['-created_at'], name='host_port_m_created_11cd22_idx')],\n 'constraints': [models.UniqueConstraint(fields=('target', 'host', 'ip', 'port'), name='unique_target_host_ip_port')],\n },\n ),\n migrations.CreateModel(\n name='HostPortMappingSnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('host', models.CharField(help_text='主机名（域名或IP）', max_length=1000)),\n ('ip', models.GenericIPAddressField(help_text='IP地址')),\n ('port', models.IntegerField(help_text='端口号（1-65535）', validators=[django.core.validators.MinValueValidator(1, message='端口号必须大于等于1'), django.core.validators.MaxValueValidator(65535, message='端口号必须小于等于65535')])),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务（主关联）', on_delete=django.db.models.deletion.CASCADE, related_name='host_port_mapping_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '主机端口映射快照',\n 'verbose_name_plural': '主机端口映射快照',\n 'db_table': 'host_port_mapping_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='host_port_m_scan_id_50ba0b_idx'), models.Index(fields=['host'], name='host_port_m_host_e99054_idx'), models.Index(fields=['ip'], name='host_port_m_ip_54818c_idx'), models.Index(fields=['port'], name='host_port_m_port_ed7b48_idx'), models.Index(fields=['host', 'ip'], name='host_port_m_host_8a463a_idx'), models.Index(fields=['scan', 'host'], name='host_port_m_scan_id_426fdb_idx'), models.Index(fields=['-created_at'], name='host_port_m_created_fb28b8_idx')],\n 'constraints': [models.UniqueConstraint(fields=('scan', 'host', 'ip', 'port'), name='unique_scan_host_ip_port_snapshot')],\n },\n ),\n migrations.CreateModel(\n name='Subdomain',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(help_text='子域名名称', max_length=1000)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('target', models.ForeignKey(help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）', on_delete=django.db.models.deletion.CASCADE, related_name='subdomains', to='targets.target')),\n ],\n options={\n 'verbose_name': '子域名',\n 'verbose_name_plural': '子域名',\n 'db_table': 'subdomain',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='subdomain_created_e187a8_idx'), models.Index(fields=['name', 'target'], name='subdomain_name_60e1d0_idx'), models.Index(fields=['target'], name='subdomain_target__e409f0_idx'), models.Index(fields=['name'], name='subdomain_name_d40ba7_idx'), django.contrib.postgres.indexes.GinIndex(fields=['name'], name='subdomain_name_trgm_idx', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('name', 'target'), name='unique_subdomain_name_target')],\n },\n ),\n migrations.CreateModel(\n name='SubdomainSnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(help_text='子域名名称', max_length=1000)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='subdomain_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '子域名快照',\n 'verbose_name_plural': '子域名快照',\n 'db_table': 'subdomain_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='subdomain_s_scan_id_68c253_idx'), models.Index(fields=['name'], name='subdomain_s_name_2da42b_idx'), models.Index(fields=['-created_at'], name='subdomain_s_created_d2b48e_idx'), django.contrib.postgres.indexes.GinIndex(fields=['name'], name='subdomain_snap_name_trgm', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('scan', 'name'), name='unique_subdomain_per_scan_snapshot')],\n },\n ),\n migrations.CreateModel(\n name='Vulnerability',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.CharField(help_text='漏洞所在的URL', max_length=2000)),\n ('vuln_type', models.CharField(help_text='漏洞类型（如 xss, sqli）', max_length=100)),\n ('severity', models.CharField(choices=[('unknown', '未知'), ('info', '信息'), ('low', '低'), ('medium', '中'), ('high', '高'), ('critical', '危急')], default='unknown', help_text='严重性（未知/信息/低/中/高/危急）', max_length=20)),\n ('source', models.CharField(blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）', max_length=50)),\n ('cvss_score', models.DecimalField(blank=True, decimal_places=1, help_text='CVSS 评分（0.0-10.0）', max_digits=3, null=True)),\n ('description', models.TextField(blank=True, default='', help_text='漏洞描述')),\n ('raw_output', models.JSONField(blank=True, default=dict, help_text='工具原始输出')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('target', models.ForeignKey(help_text='所属的扫描目标', on_delete=django.db.models.deletion.CASCADE, related_name='vulnerabilities', to='targets.target')),\n ],\n options={\n 'verbose_name': '漏洞',\n 'verbose_name_plural': '漏洞',\n 'db_table': 'vulnerability',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['target'], name='vulnerabili_target__755a02_idx'), models.Index(fields=['vuln_type'], name='vulnerabili_vuln_ty_3010cd_idx'), models.Index(fields=['severity'], name='vulnerabili_severit_1a798b_idx'), models.Index(fields=['source'], name='vulnerabili_source_7c7552_idx'), models.Index(fields=['url'], name='vulnerabili_url_4dcc4d_idx'), models.Index(fields=['-created_at'], name='vulnerabili_created_e25ff7_idx')],\n },\n ),\n migrations.CreateModel(\n name='VulnerabilitySnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.CharField(help_text='漏洞所在的URL', max_length=2000)),\n ('vuln_type', models.CharField(help_text='漏洞类型（如 xss, sqli）', max_length=100)),\n ('severity', models.CharField(choices=[('unknown', '未知'), ('info', '信息'), ('low', '低'), ('medium', '中'), ('high', '高'), ('critical', '危急')], default='unknown', help_text='严重性（未知/信息/低/中/高/危急）', max_length=20)),\n ('source', models.CharField(blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）', max_length=50)),\n ('cvss_score', models.DecimalField(blank=True, decimal_places=1, help_text='CVSS 评分（0.0-10.0）', max_digits=3, null=True)),\n ('description', models.TextField(blank=True, default='', help_text='漏洞描述')),\n ('raw_output', models.JSONField(blank=True, default=dict, help_text='工具原始输出')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='vulnerability_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '漏洞快照',\n 'verbose_name_plural': '漏洞快照',\n 'db_table': 'vulnerability_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='vulnerabili_scan_id_7b81c9_idx'), models.Index(fields=['url'], name='vulnerabili_url_11a707_idx'), models.Index(fields=['vuln_type'], name='vulnerabili_vuln_ty_6b90ee_idx'), models.Index(fields=['severity'], name='vulnerabili_severit_4eae0d_idx'), models.Index(fields=['source'], name='vulnerabili_source_968b1f_idx'), models.Index(fields=['-created_at'], name='vulnerabili_created_53a12e_idx')],\n },\n ),\n migrations.CreateModel(\n name='WebSite',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.TextField(help_text='最终访问的完整URL')),\n ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)),\n ('location', models.TextField(blank=True, default='', help_text='重定向地址（HTTP 3xx 响应头 Location）')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('title', models.TextField(blank=True, default='', help_text='网页标题（HTML <title> 标签内容）')),\n ('webserver', models.TextField(blank=True, default='', help_text='服务器类型（HTTP 响应头 Server 值）')),\n ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')),\n ('content_type', models.TextField(blank=True, default='', help_text='响应类型（HTTP Content-Type 响应头）')),\n ('tech', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='技术栈（服务器/框架/语言等）', size=None)),\n ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)),\n ('content_length', models.IntegerField(blank=True, help_text='响应体大小（单位字节）', null=True)),\n ('vhost', models.BooleanField(blank=True, help_text='是否支持虚拟主机', null=True)),\n ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')),\n ('target', models.ForeignKey(help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）', on_delete=django.db.models.deletion.CASCADE, related_name='websites', to='targets.target')),\n ],\n options={\n 'verbose_name': '站点',\n 'verbose_name_plural': '站点',\n 'db_table': 'website',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='website_created_c9cfd2_idx'), models.Index(fields=['url'], name='website_url_b18883_idx'), models.Index(fields=['host'], name='website_host_996b50_idx'), models.Index(fields=['target'], name='website_target__2a353b_idx'), models.Index(fields=['title'], name='website_title_c2775b_idx'), models.Index(fields=['status_code'], name='website_status__51663d_idx'), django.contrib.postgres.indexes.GinIndex(fields=['tech'], name='website_tech_e3f0cb_gin'), django.contrib.postgres.indexes.GinIndex(fields=['response_headers'], name='website_resp_headers_trgm_idx', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['url'], name='website_url_trgm_idx', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['title'], name='website_title_trgm_idx', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('url', 'target'), name='unique_website_url_target')],\n },\n ),\n migrations.CreateModel(\n name='WebsiteSnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.TextField(help_text='站点URL')),\n ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)),\n ('title', models.TextField(blank=True, default='', help_text='页面标题')),\n ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)),\n ('content_length', models.BigIntegerField(blank=True, help_text='内容长度', null=True)),\n ('location', models.TextField(blank=True, default='', help_text='重定向位置')),\n ('webserver', models.TextField(blank=True, default='', help_text='Web服务器')),\n ('content_type', models.TextField(blank=True, default='', help_text='内容类型')),\n ('tech', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='技术栈', size=None)),\n ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')),\n ('vhost', models.BooleanField(blank=True, help_text='虚拟主机标志', null=True)),\n ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='website_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '网站快照',\n 'verbose_name_plural': '网站快照',\n 'db_table': 'website_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='website_sna_scan_id_26b6dc_idx'), models.Index(fields=['url'], name='website_sna_url_801a70_idx'), models.Index(fields=['host'], name='website_sna_host_348fe1_idx'), models.Index(fields=['title'], name='website_sna_title_b1a5ee_idx'), models.Index(fields=['-created_at'], name='website_sna_created_2c149a_idx'), django.contrib.postgres.indexes.GinIndex(fields=['tech'], name='website_sna_tech_3d6d2f_gin'), django.contrib.postgres.indexes.GinIndex(fields=['response_headers'], name='ws_snap_resp_hdr_trgm', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['url'], name='ws_snap_url_trgm', opclasses=['gin_trgm_ops']), django.contrib.postgres.indexes.GinIndex(fields=['title'], name='ws_snap_title_trgm', opclasses=['gin_trgm_ops'])],\n 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_website_per_scan_snapshot')],\n },\n ),\n ]\n" }, { "path": "backend/apps/asset/migrations/0002_create_search_views.py", "content": "\"\"\"\n创建资产搜索物化视图（使用 pg_ivm 增量维护）\n\n这些视图用于资产搜索功能，提供高性能的全文搜索能力。\n\"\"\"\n\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n \"\"\"创建资产搜索所需的增量物化视图\"\"\"\n\n dependencies = [\n ('asset', '0001_initial'),\n ]\n\n operations = [\n # 1. 确保 pg_ivm 扩展已安装\n migrations.RunSQL(\n sql=\"CREATE EXTENSION IF NOT EXISTS pg_ivm;\",\n reverse_sql=\"DROP EXTENSION IF EXISTS pg_ivm;\",\n ),\n \n # 2. 创建 Website 搜索视图\n # 注意：pg_ivm 不支持 ArrayField，所以 tech 字段需要从原表 JOIN 获取\n migrations.RunSQL(\n sql=\"\"\"\n SELECT pgivm.create_immv('asset_search_view', $$\n SELECT \n w.id,\n w.url,\n w.host,\n w.title,\n w.status_code,\n w.response_headers,\n w.response_body,\n w.content_type,\n w.content_length,\n w.webserver,\n w.location,\n w.vhost,\n w.created_at,\n w.target_id\n FROM website w\n $$);\n \"\"\",\n reverse_sql=\"DROP TABLE IF EXISTS asset_search_view CASCADE;\",\n ),\n \n # 3. 创建 Endpoint 搜索视图\n migrations.RunSQL(\n sql=\"\"\"\n SELECT pgivm.create_immv('endpoint_search_view', $$\n SELECT \n e.id,\n e.url,\n e.host,\n e.title,\n e.status_code,\n e.response_headers,\n e.response_body,\n e.content_type,\n e.content_length,\n e.webserver,\n e.location,\n e.vhost,\n e.created_at,\n e.target_id\n FROM endpoint e\n $$);\n \"\"\",\n reverse_sql=\"DROP TABLE IF EXISTS endpoint_search_view CASCADE;\",\n ),\n \n # 4. 为搜索视图创建索引（加速查询）\n migrations.RunSQL(\n sql=[\n # Website 搜索视图索引\n \"CREATE INDEX IF NOT EXISTS asset_search_view_host_idx ON asset_search_view (host);\",\n \"CREATE INDEX IF NOT EXISTS asset_search_view_url_idx ON asset_search_view (url);\",\n \"CREATE INDEX IF NOT EXISTS asset_search_view_title_idx ON asset_search_view (title);\",\n \"CREATE INDEX IF NOT EXISTS asset_search_view_status_idx ON asset_search_view (status_code);\",\n \"CREATE INDEX IF NOT EXISTS asset_search_view_created_idx ON asset_search_view (created_at DESC);\",\n # Endpoint 搜索视图索引\n \"CREATE INDEX IF NOT EXISTS endpoint_search_view_host_idx ON endpoint_search_view (host);\",\n \"CREATE INDEX IF NOT EXISTS endpoint_search_view_url_idx ON endpoint_search_view (url);\",\n \"CREATE INDEX IF NOT EXISTS endpoint_search_view_title_idx ON endpoint_search_view (title);\",\n \"CREATE INDEX IF NOT EXISTS endpoint_search_view_status_idx ON endpoint_search_view (status_code);\",\n \"CREATE INDEX IF NOT EXISTS endpoint_search_view_created_idx ON endpoint_search_view (created_at DESC);\",\n ],\n reverse_sql=[\n \"DROP INDEX IF EXISTS asset_search_view_host_idx;\",\n \"DROP INDEX IF EXISTS asset_search_view_url_idx;\",\n \"DROP INDEX IF EXISTS asset_search_view_title_idx;\",\n \"DROP INDEX IF EXISTS asset_search_view_status_idx;\",\n \"DROP INDEX IF EXISTS asset_search_view_created_idx;\",\n \"DROP INDEX IF EXISTS endpoint_search_view_host_idx;\",\n \"DROP INDEX IF EXISTS endpoint_search_view_url_idx;\",\n \"DROP INDEX IF EXISTS endpoint_search_view_title_idx;\",\n \"DROP INDEX IF EXISTS endpoint_search_view_status_idx;\",\n \"DROP INDEX IF EXISTS endpoint_search_view_created_idx;\",\n ],\n ),\n ]\n" }, { "path": "backend/apps/asset/migrations/0003_add_screenshot_models.py", "content": "# Generated by Django 5.2.7 on 2026-01-07 02:21\n\nimport django.db.models.deletion\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('asset', '0002_create_search_views'),\n ('scan', '0001_initial'),\n ('targets', '0001_initial'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='Screenshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.TextField(help_text='截图对应的 URL')),\n ('image', models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')),\n ('target', models.ForeignKey(help_text='所属目标', on_delete=django.db.models.deletion.CASCADE, related_name='screenshots', to='targets.target')),\n ],\n options={\n 'verbose_name': '截图',\n 'verbose_name_plural': '截图',\n 'db_table': 'screenshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['target'], name='screenshot_target__2f01f6_idx'), models.Index(fields=['-created_at'], name='screenshot_created_c0ad4b_idx')],\n 'constraints': [models.UniqueConstraint(fields=('target', 'url'), name='unique_screenshot_per_target')],\n },\n ),\n migrations.CreateModel(\n name='ScreenshotSnapshot',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('url', models.TextField(help_text='截图对应的 URL')),\n ('image', models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='所属的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='screenshot_snapshots', to='scan.scan')),\n ],\n options={\n 'verbose_name': '截图快照',\n 'verbose_name_plural': '截图快照',\n 'db_table': 'screenshot_snapshot',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scan'], name='screenshot__scan_id_fb8c4d_idx'), models.Index(fields=['-created_at'], name='screenshot__created_804117_idx')],\n 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_screenshot_per_scan_snapshot')],\n },\n ),\n ]\n" }, { "path": "backend/apps/asset/migrations/0004_add_status_code_to_screenshot.py", "content": "# Generated by Django 5.2.7 on 2026-01-07 13:29\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('asset', '0003_add_screenshot_models'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='screenshot',\n name='status_code',\n field=models.SmallIntegerField(blank=True, help_text='HTTP 响应状态码', null=True),\n ),\n migrations.AddField(\n model_name='screenshotsnapshot',\n name='status_code',\n field=models.SmallIntegerField(blank=True, help_text='HTTP 响应状态码', null=True),\n ),\n ]\n" }, { "path": "backend/apps/asset/migrations/__init__.py", "content": "" }, { "path": "backend/apps/asset/models/__init__.py", "content": "# 导入所有模型，确保Django能发现它们\n\n# 业务模型\nfrom .asset_models import (\n Subdomain,\n WebSite,\n Endpoint,\n Directory,\n HostPortMapping,\n Vulnerability,\n)\n\n# 快照模型\nfrom .snapshot_models import (\n SubdomainSnapshot,\n WebsiteSnapshot,\n DirectorySnapshot,\n HostPortMappingSnapshot,\n EndpointSnapshot,\n VulnerabilitySnapshot,\n)\n\n# 截图模型\nfrom .screenshot_models import (\n Screenshot,\n ScreenshotSnapshot,\n)\n\n# 统计模型\nfrom .statistics_models import AssetStatistics, StatisticsHistory\n\n# 导出所有模型供外部导入\n__all__ = [\n # 业务模型\n 'Subdomain',\n 'WebSite', \n 'Endpoint',\n 'Directory',\n 'HostPortMapping',\n 'Vulnerability',\n # 快照模型\n 'SubdomainSnapshot',\n 'WebsiteSnapshot', \n 'DirectorySnapshot',\n 'HostPortMappingSnapshot',\n 'EndpointSnapshot',\n 'VulnerabilitySnapshot',\n # 截图模型\n 'Screenshot',\n 'ScreenshotSnapshot',\n # 统计模型\n 'AssetStatistics',\n 'StatisticsHistory',\n]\n" }, { "path": "backend/apps/asset/models/asset_models.py", "content": "\nfrom django.db import models\nfrom django.contrib.postgres.fields import ArrayField\nfrom django.contrib.postgres.indexes import GinIndex\nfrom django.core.validators import MinValueValidator, MaxValueValidator\n\n\nclass Subdomain(models.Model):\n \"\"\"\n 子域名模型（纯资产表）\n \n 设计特点：\n - 只存储子域名资产信息\n - 与其他资产表（IPAddress、Port）无直接关联\n - 扫描历史记录存储在 SubdomainSnapshot 快照表中\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n target = models.ForeignKey(\n 'targets.Target', # 使用字符串引用避免循环导入\n on_delete=models.CASCADE,\n related_name='subdomains',\n help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）'\n )\n name = models.CharField(max_length=1000, help_text='子域名名称')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'subdomain'\n verbose_name = '子域名'\n verbose_name_plural = '子域名'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['name', 'target']), # 复合索引，优化 get_by_names_and_target_id 批量查询\n models.Index(fields=['target']), # 优化从target_id快速查找下面的子域名\n models.Index(fields=['name']), # 优化从name快速查找子域名，搜索场景\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='subdomain_name_trgm_idx',\n fields=['name'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 普通唯一约束：name + target 组合唯一\n models.UniqueConstraint(\n fields=['name', 'target'],\n name='unique_subdomain_name_target'\n )\n ]\n\n def __str__(self):\n return str(self.name or f'Subdomain {self.id}')\n\n\nclass Endpoint(models.Model):\n \"\"\"端点模型\"\"\"\n\n id = models.AutoField(primary_key=True)\n target = models.ForeignKey(\n 'targets.Target', # 使用字符串引用\n on_delete=models.CASCADE,\n related_name='endpoints',\n help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）'\n )\n \n url = models.TextField(help_text='最终访问的完整URL')\n host = models.CharField(\n max_length=253,\n blank=True,\n default='',\n help_text='主机名（域名或IP地址）'\n )\n location = models.TextField(\n blank=True,\n default='',\n help_text='重定向地址（HTTP 3xx 响应头 Location）'\n )\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n title = models.TextField(\n blank=True,\n default='',\n help_text='网页标题（HTML <title> 标签内容）'\n )\n webserver = models.TextField(\n blank=True,\n default='',\n help_text='服务器类型（HTTP 响应头 Server 值）'\n )\n response_body = models.TextField(\n blank=True,\n default='',\n help_text='HTTP响应体'\n )\n content_type = models.TextField(\n blank=True,\n default='',\n help_text='响应类型（HTTP Content-Type 响应头）'\n )\n tech = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='技术栈（服务器/框架/语言等）'\n )\n status_code = models.IntegerField(\n null=True,\n blank=True,\n help_text='HTTP状态码'\n )\n content_length = models.IntegerField(\n null=True,\n blank=True,\n help_text='响应体大小（单位字节）'\n )\n vhost = models.BooleanField(\n null=True,\n blank=True,\n help_text='是否支持虚拟主机'\n )\n matched_gf_patterns = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='匹配的GF模式列表，用于识别敏感端点（如api, debug, config等）'\n )\n response_headers = models.TextField(\n blank=True,\n default='',\n help_text='原始HTTP响应头'\n )\n\n class Meta:\n db_table = 'endpoint'\n verbose_name = '端点'\n verbose_name_plural = '端点'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['target']), # 优化从 target_id快速查找下面的端点（主关联字段）\n models.Index(fields=['url']), # URL索引，优化查询性能\n models.Index(fields=['host']), # host索引，优化根据主机名查询\n models.Index(fields=['status_code']), # 状态码索引，优化筛选\n models.Index(fields=['title']), # title索引，优化智能过滤搜索\n GinIndex(fields=['tech']), # GIN索引，优化 tech 数组字段的 __contains 查询\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='endpoint_resp_headers_trgm_idx',\n fields=['response_headers'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='endpoint_url_trgm_idx',\n fields=['url'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='endpoint_title_trgm_idx',\n fields=['title'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 普通唯一约束：url + target 组合唯一\n models.UniqueConstraint(\n fields=['url', 'target'],\n name='unique_endpoint_url_target'\n )\n ]\n\n def __str__(self):\n return str(self.url or f'Endpoint {self.id}')\n\n\nclass WebSite(models.Model):\n \"\"\"站点模型\"\"\"\n\n id = models.AutoField(primary_key=True)\n target = models.ForeignKey(\n 'targets.Target', # 使用字符串引用\n on_delete=models.CASCADE,\n related_name='websites',\n help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）'\n )\n\n url = models.TextField(help_text='最终访问的完整URL')\n host = models.CharField(\n max_length=253,\n blank=True,\n default='',\n help_text='主机名（域名或IP地址）'\n )\n location = models.TextField(\n blank=True,\n default='',\n help_text='重定向地址（HTTP 3xx 响应头 Location）'\n )\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n title = models.TextField(\n blank=True,\n default='',\n help_text='网页标题（HTML <title> 标签内容）'\n )\n webserver = models.TextField(\n blank=True,\n default='',\n help_text='服务器类型（HTTP 响应头 Server 值）'\n )\n response_body = models.TextField(\n blank=True,\n default='',\n help_text='HTTP响应体'\n )\n content_type = models.TextField(\n blank=True,\n default='',\n help_text='响应类型（HTTP Content-Type 响应头）'\n )\n tech = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='技术栈（服务器/框架/语言等）'\n )\n status_code = models.IntegerField(\n null=True,\n blank=True,\n help_text='HTTP状态码'\n )\n content_length = models.IntegerField(\n null=True,\n blank=True,\n help_text='响应体大小（单位字节）'\n )\n vhost = models.BooleanField(\n null=True,\n blank=True,\n help_text='是否支持虚拟主机'\n )\n response_headers = models.TextField(\n blank=True,\n default='',\n help_text='原始HTTP响应头'\n )\n\n class Meta:\n db_table = 'website'\n verbose_name = '站点'\n verbose_name_plural = '站点'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['url']), # URL索引，优化查询性能\n models.Index(fields=['host']), # host索引，优化根据主机名查询\n models.Index(fields=['target']), # 优化从 target_id快速查找下面的站点\n models.Index(fields=['title']), # title索引，优化智能过滤搜索\n models.Index(fields=['status_code']), # 状态码索引，优化智能过滤搜索\n GinIndex(fields=['tech']), # GIN索引，优化 tech 数组字段的 __contains 查询\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='website_resp_headers_trgm_idx',\n fields=['response_headers'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='website_url_trgm_idx',\n fields=['url'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='website_title_trgm_idx',\n fields=['title'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 普通唯一约束：url + target 组合唯一\n models.UniqueConstraint(\n fields=['url', 'target'],\n name='unique_website_url_target'\n )\n ]\n\n def __str__(self):\n return str(self.url or f'Website {self.id}')\n\n\nclass Directory(models.Model):\n \"\"\"\n 目录模型\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n target = models.ForeignKey(\n 'targets.Target',\n on_delete=models.CASCADE,\n related_name='directories',\n help_text='所属的扫描目标'\n )\n \n url = models.CharField(\n null=False,\n blank=False,\n max_length=2000,\n help_text='完整请求 URL'\n )\n status = models.IntegerField(\n null=True,\n blank=True,\n help_text='HTTP 响应状态码'\n )\n content_length = models.BigIntegerField(\n null=True,\n blank=True,\n help_text='响应体字节大小（Content-Length 或实际长度）'\n )\n words = models.IntegerField(\n null=True,\n blank=True,\n help_text='响应体中单词数量（按空格分割）'\n )\n lines = models.IntegerField(\n null=True,\n blank=True,\n help_text='响应体行数（按换行符分割）'\n )\n content_type = models.CharField(\n max_length=200,\n blank=True,\n default='',\n help_text='响应头 Content-Type 值'\n )\n duration = models.BigIntegerField(\n null=True,\n blank=True,\n help_text='请求耗时（单位：纳秒）'\n )\n \n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'directory'\n verbose_name = '目录'\n verbose_name_plural = '目录'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['target']), # 优化从target_id快速查找下面的目录\n models.Index(fields=['url']), # URL索引，优化搜索和唯一约束\n models.Index(fields=['status']), # 状态码索引，优化筛选\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='directory_url_trgm_idx',\n fields=['url'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 普通唯一约束：target + url 组合唯一\n models.UniqueConstraint(\n fields=['target', 'url'],\n name='unique_directory_url_target'\n ),\n ]\n\n def __str__(self):\n return str(self.url or f'Directory {self.id}')\n\n\nclass HostPortMapping(models.Model):\n \"\"\"\n 主机端口映射表\n \n 设计特点：\n - 存储主机（host）、IP、端口的三元映射关系\n - 只关联 target_id，不关联其他资产表\n - target + host + ip + port 组成复合唯一约束\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n \n # ==================== 关联字段 ====================\n target = models.ForeignKey(\n 'targets.Target',\n on_delete=models.CASCADE,\n related_name='host_port_mappings',\n help_text='所属的扫描目标'\n )\n \n # ==================== 核心字段 ====================\n host = models.CharField(\n max_length=1000,\n blank=False,\n help_text='主机名（域名或IP）'\n )\n ip = models.GenericIPAddressField(\n blank=False,\n help_text='IP地址'\n )\n port = models.IntegerField(\n blank=False,\n validators=[\n MinValueValidator(1, message='端口号必须大于等于1'),\n MaxValueValidator(65535, message='端口号必须小于等于65535')\n ],\n help_text='端口号（1-65535）'\n )\n \n # ==================== 时间字段 ====================\n created_at = models.DateTimeField(\n auto_now_add=True,\n help_text='创建时间'\n )\n\n class Meta:\n db_table = 'host_port_mapping'\n verbose_name = '主机端口映射'\n verbose_name_plural = '主机端口映射'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['target']), # 优化按目标查询\n models.Index(fields=['host']), # 优化按主机名查询\n models.Index(fields=['ip']), # 优化按IP查询\n models.Index(fields=['port']), # 优化按端口查询\n models.Index(fields=['host', 'ip']), # 优化组合查询\n models.Index(fields=['-created_at']), # 优化时间排序\n ]\n constraints = [\n # 复合唯一约束：target + host + ip + port 组合唯一\n models.UniqueConstraint(\n fields=['target', 'host', 'ip', 'port'],\n name='unique_target_host_ip_port'\n ),\n ]\n\n def __str__(self):\n return f'{self.host} ({self.ip}:{self.port})'\n\n\nclass Vulnerability(models.Model):\n \"\"\"\n 漏洞模型（资产表）\n \n 存储发现的漏洞资产，与 Target 关联。\n 扫描历史记录存储在 VulnerabilitySnapshot 快照表中。\n \"\"\"\n \n # 延迟导入避免循环引用\n from apps.common.definitions import VulnSeverity\n\n id = models.AutoField(primary_key=True)\n target = models.ForeignKey(\n 'targets.Target',\n on_delete=models.CASCADE,\n related_name='vulnerabilities',\n help_text='所属的扫描目标'\n )\n \n # ==================== 核心字段 ====================\n url = models.CharField(max_length=2000, help_text='漏洞所在的URL')\n vuln_type = models.CharField(max_length=100, help_text='漏洞类型（如 xss, sqli）')\n severity = models.CharField(\n max_length=20,\n choices=VulnSeverity.choices,\n default=VulnSeverity.UNKNOWN,\n help_text='严重性（未知/信息/低/中/高/危急）'\n )\n source = models.CharField(max_length=50, blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）')\n cvss_score = models.DecimalField(max_digits=3, decimal_places=1, null=True, blank=True, help_text='CVSS 评分（0.0-10.0）')\n description = models.TextField(blank=True, default='', help_text='漏洞描述')\n raw_output = models.JSONField(blank=True, default=dict, help_text='工具原始输出')\n \n # ==================== 时间字段 ====================\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'vulnerability'\n verbose_name = '漏洞'\n verbose_name_plural = '漏洞'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['target']),\n models.Index(fields=['vuln_type']),\n models.Index(fields=['severity']),\n models.Index(fields=['source']),\n models.Index(fields=['url']), # url索引，优化智能过滤搜索\n models.Index(fields=['-created_at']),\n ]\n\n def __str__(self):\n return f'{self.vuln_type} - {self.url[:50]}'\n" }, { "path": "backend/apps/asset/models/screenshot_models.py", "content": "from django.db import models\n\n\nclass ScreenshotSnapshot(models.Model):\n \"\"\"\n 截图快照\n \n 记录：某次扫描中捕获的网站截图\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='screenshot_snapshots',\n help_text='所属的扫描任务'\n )\n url = models.TextField(help_text='截图对应的 URL')\n status_code = models.SmallIntegerField(null=True, blank=True, help_text='HTTP 响应状态码')\n image = models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'screenshot_snapshot'\n verbose_name = '截图快照'\n verbose_name_plural = '截图快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']),\n models.Index(fields=['-created_at']),\n ]\n constraints = [\n models.UniqueConstraint(\n fields=['scan', 'url'],\n name='unique_screenshot_per_scan_snapshot'\n ),\n ]\n\n def __str__(self):\n return f'{self.url} (Scan #{self.scan_id})'\n\n\nclass Screenshot(models.Model):\n \"\"\"\n 截图资产\n \n 存储：目标的最新截图（从快照同步）\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n target = models.ForeignKey(\n 'targets.Target',\n on_delete=models.CASCADE,\n related_name='screenshots',\n help_text='所属目标'\n )\n url = models.TextField(help_text='截图对应的 URL')\n status_code = models.SmallIntegerField(null=True, blank=True, help_text='HTTP 响应状态码')\n image = models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n updated_at = models.DateTimeField(auto_now=True, help_text='更新时间')\n\n class Meta:\n db_table = 'screenshot'\n verbose_name = '截图'\n verbose_name_plural = '截图'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['target']),\n models.Index(fields=['-created_at']),\n ]\n constraints = [\n models.UniqueConstraint(\n fields=['target', 'url'],\n name='unique_screenshot_per_target'\n ),\n ]\n\n def __str__(self):\n return f'{self.url} (Target #{self.target_id})'\n" }, { "path": "backend/apps/asset/models/snapshot_models.py", "content": "from django.db import models\nfrom django.contrib.postgres.fields import ArrayField\nfrom django.contrib.postgres.indexes import GinIndex\nfrom django.core.validators import MinValueValidator, MaxValueValidator\n\n\nclass SubdomainSnapshot(models.Model):\n \"\"\"子域名快照\"\"\"\n\n id = models.AutoField(primary_key=True)\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='subdomain_snapshots',\n help_text='所属的扫描任务'\n )\n \n name = models.CharField(max_length=1000, help_text='子域名名称')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n \n class Meta:\n db_table = 'subdomain_snapshot'\n verbose_name = '子域名快照'\n verbose_name_plural = '子域名快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']),\n models.Index(fields=['name']),\n models.Index(fields=['-created_at']),\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='subdomain_snap_name_trgm',\n fields=['name'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 唯一约束：同一次扫描中，同一个子域名只能记录一次\n models.UniqueConstraint(\n fields=['scan', 'name'],\n name='unique_subdomain_per_scan_snapshot'\n ),\n ]\n\n def __str__(self):\n return f'{self.name} (Scan #{self.scan_id})'\n\nclass WebsiteSnapshot(models.Model):\n \"\"\"\n 网站快照\n \n 记录：某次扫描中发现的网站\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='website_snapshots',\n help_text='所属的扫描任务'\n )\n \n # 扫描结果数据\n url = models.TextField(help_text='站点URL')\n host = models.CharField(max_length=253, blank=True, default='', help_text='主机名（域名或IP地址）')\n title = models.TextField(blank=True, default='', help_text='页面标题')\n status_code = models.IntegerField(null=True, blank=True, help_text='HTTP状态码')\n content_length = models.BigIntegerField(null=True, blank=True, help_text='内容长度')\n location = models.TextField(blank=True, default='', help_text='重定向位置')\n webserver = models.TextField(blank=True, default='', help_text='Web服务器')\n content_type = models.TextField(blank=True, default='', help_text='内容类型')\n tech = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='技术栈'\n )\n response_body = models.TextField(blank=True, default='', help_text='HTTP响应体')\n vhost = models.BooleanField(null=True, blank=True, help_text='虚拟主机标志')\n response_headers = models.TextField(\n blank=True,\n default='',\n help_text='原始HTTP响应头'\n )\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'website_snapshot'\n verbose_name = '网站快照'\n verbose_name_plural = '网站快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']),\n models.Index(fields=['url']),\n models.Index(fields=['host']), # host索引，优化根据主机名查询\n models.Index(fields=['title']), # title索引，优化标题搜索\n models.Index(fields=['-created_at']),\n GinIndex(fields=['tech']), # GIN索引，优化数组字段查询\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='ws_snap_resp_hdr_trgm',\n fields=['response_headers'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='ws_snap_url_trgm',\n fields=['url'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='ws_snap_title_trgm',\n fields=['title'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 唯一约束：同一次扫描中，同一个URL只能记录一次\n models.UniqueConstraint(\n fields=['scan', 'url'],\n name='unique_website_per_scan_snapshot'\n ),\n ]\n\n def __str__(self):\n return f'{self.url} (Scan #{self.scan_id})'\n\n\nclass DirectorySnapshot(models.Model):\n \"\"\"\n 目录快照\n \n 记录：某次扫描中发现的目录\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='directory_snapshots',\n help_text='所属的扫描任务'\n )\n \n # 扫描结果数据\n url = models.CharField(max_length=2000, help_text='目录URL')\n status = models.IntegerField(null=True, blank=True, help_text='HTTP状态码')\n content_length = models.BigIntegerField(null=True, blank=True, help_text='内容长度')\n words = models.IntegerField(null=True, blank=True, help_text='响应体中单词数量（按空格分割）')\n lines = models.IntegerField(null=True, blank=True, help_text='响应体行数（按换行符分割）')\n content_type = models.CharField(max_length=200, blank=True, default='', help_text='响应头 Content-Type 值')\n duration = models.BigIntegerField(null=True, blank=True, help_text='请求耗时（单位：纳秒）')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'directory_snapshot'\n verbose_name = '目录快照'\n verbose_name_plural = '目录快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']),\n models.Index(fields=['url']),\n models.Index(fields=['status']), # 状态码索引，优化筛选\n models.Index(fields=['content_type']), # content_type索引，优化内容类型搜索\n models.Index(fields=['-created_at']),\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='dir_snap_url_trgm',\n fields=['url'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 唯一约束：同一次扫描中，同一个目录URL只能记录一次\n models.UniqueConstraint(\n fields=['scan', 'url'],\n name='unique_directory_per_scan_snapshot'\n ),\n ]\n\n def __str__(self):\n return f'{self.url} (Scan #{self.scan_id})'\n\n\nclass HostPortMappingSnapshot(models.Model):\n \"\"\"\n 主机端口映射快照表\n \n 设计特点：\n - 存储某次扫描中发现的主机（host）、IP、端口的三元映射关系\n - 主关联 scan_id，记录扫描历史\n - scan + host + ip + port 组成复合唯一约束\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n \n # ==================== 关联字段 ====================\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='host_port_mapping_snapshots',\n help_text='所属的扫描任务（主关联）'\n )\n \n # ==================== 核心字段 ====================\n host = models.CharField(\n max_length=1000,\n blank=False,\n help_text='主机名（域名或IP）'\n )\n ip = models.GenericIPAddressField(\n blank=False,\n help_text='IP地址'\n )\n port = models.IntegerField(\n blank=False,\n validators=[\n MinValueValidator(1, message='端口号必须大于等于1'),\n MaxValueValidator(65535, message='端口号必须小于等于65535')\n ],\n help_text='端口号（1-65535）'\n )\n \n # ==================== 时间字段 ====================\n created_at = models.DateTimeField(\n auto_now_add=True,\n help_text='创建时间'\n )\n\n class Meta:\n db_table = 'host_port_mapping_snapshot'\n verbose_name = '主机端口映射快照'\n verbose_name_plural = '主机端口映射快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']), # 优化按扫描查询\n models.Index(fields=['host']), # 优化按主机名查询\n models.Index(fields=['ip']), # 优化按IP查询\n models.Index(fields=['port']), # 优化按端口查询\n models.Index(fields=['host', 'ip']), # 优化组合查询\n models.Index(fields=['scan', 'host']), # 优化扫描+主机查询\n models.Index(fields=['-created_at']), # 优化时间排序\n ]\n constraints = [\n # 复合唯一约束：同一次扫描中，scan + host + ip + port 组合唯一\n models.UniqueConstraint(\n fields=['scan', 'host', 'ip', 'port'],\n name='unique_scan_host_ip_port_snapshot'\n ),\n ]\n\n def __str__(self):\n return f'{self.host} ({self.ip}:{self.port}) [Scan #{self.scan_id}]'\n\n\nclass EndpointSnapshot(models.Model):\n \"\"\"\n 端点快照\n \n 记录：某次扫描中发现的端点\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='endpoint_snapshots',\n help_text='所属的扫描任务'\n )\n \n # 扫描结果数据\n url = models.TextField(help_text='端点URL')\n host = models.CharField(\n max_length=253,\n blank=True,\n default='',\n help_text='主机名（域名或IP地址）'\n )\n title = models.TextField(blank=True, default='', help_text='页面标题')\n status_code = models.IntegerField(null=True, blank=True, help_text='HTTP状态码')\n content_length = models.IntegerField(null=True, blank=True, help_text='内容长度')\n location = models.TextField(blank=True, default='', help_text='重定向位置')\n webserver = models.TextField(blank=True, default='', help_text='Web服务器')\n content_type = models.TextField(blank=True, default='', help_text='内容类型')\n tech = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='技术栈'\n )\n response_body = models.TextField(blank=True, default='', help_text='HTTP响应体')\n vhost = models.BooleanField(null=True, blank=True, help_text='虚拟主机标志')\n matched_gf_patterns = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='匹配的GF模式列表'\n )\n response_headers = models.TextField(\n blank=True,\n default='',\n help_text='原始HTTP响应头'\n )\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'endpoint_snapshot'\n verbose_name = '端点快照'\n verbose_name_plural = '端点快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']),\n models.Index(fields=['url']),\n models.Index(fields=['host']), # host索引，优化根据主机名查询\n models.Index(fields=['title']), # title索引，优化标题搜索\n models.Index(fields=['status_code']), # 状态码索引，优化筛选\n models.Index(fields=['webserver']), # webserver索引，优化服务器搜索\n models.Index(fields=['-created_at']),\n GinIndex(fields=['tech']), # GIN索引，优化数组字段查询\n # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索\n GinIndex(\n name='ep_snap_resp_hdr_trgm',\n fields=['response_headers'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='ep_snap_url_trgm',\n fields=['url'],\n opclasses=['gin_trgm_ops']\n ),\n GinIndex(\n name='ep_snap_title_trgm',\n fields=['title'],\n opclasses=['gin_trgm_ops']\n ),\n ]\n constraints = [\n # 唯一约束：同一次扫描中，同一个URL只能记录一次\n models.UniqueConstraint(\n fields=['scan', 'url'],\n name='unique_endpoint_per_scan_snapshot'\n ),\n ]\n\n def __str__(self):\n return f'{self.url} (Scan #{self.scan_id})'\n\n\nclass VulnerabilitySnapshot(models.Model):\n \"\"\"\n 漏洞快照\n \n 记录：某次扫描中发现的漏洞\n \"\"\"\n \n # 延迟导入避免循环引用\n from apps.common.definitions import VulnSeverity\n\n id = models.AutoField(primary_key=True)\n scan = models.ForeignKey(\n 'scan.Scan',\n on_delete=models.CASCADE,\n related_name='vulnerability_snapshots',\n help_text='所属的扫描任务'\n )\n \n # ==================== 核心字段 ====================\n url = models.CharField(max_length=2000, help_text='漏洞所在的URL')\n vuln_type = models.CharField(max_length=100, help_text='漏洞类型（如 xss, sqli）')\n severity = models.CharField(\n max_length=20,\n choices=VulnSeverity.choices,\n default=VulnSeverity.UNKNOWN,\n help_text='严重性（未知/信息/低/中/高/危急）'\n )\n source = models.CharField(max_length=50, blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）')\n cvss_score = models.DecimalField(max_digits=3, decimal_places=1, null=True, blank=True, help_text='CVSS 评分（0.0-10.0）')\n description = models.TextField(blank=True, default='', help_text='漏洞描述')\n raw_output = models.JSONField(blank=True, default=dict, help_text='工具原始输出')\n \n # ==================== 时间字段 ====================\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n class Meta:\n db_table = 'vulnerability_snapshot'\n verbose_name = '漏洞快照'\n verbose_name_plural = '漏洞快照'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['scan']),\n models.Index(fields=['url']), # url索引，优化URL搜索\n models.Index(fields=['vuln_type']),\n models.Index(fields=['severity']),\n models.Index(fields=['source']),\n models.Index(fields=['-created_at']),\n ]\n\n def __str__(self):\n return f'{self.vuln_type} - {self.url[:50]} (Scan #{self.scan_id})'" }, { "path": "backend/apps/asset/models/statistics_models.py", "content": "from django.db import models\n\n\nclass AssetStatistics(models.Model):\n \"\"\"\n 资产统计表\n \n 存储预聚合的全局统计数据，避免仪表盘实时 COUNT 大表。\n 由定时任务（Prefect Flow）定期刷新。\n \"\"\"\n\n id = models.AutoField(primary_key=True)\n \n # ==================== 当前统计字段 ====================\n total_targets = models.IntegerField(default=0, help_text='目标总数')\n total_subdomains = models.IntegerField(default=0, help_text='子域名总数')\n total_ips = models.IntegerField(default=0, help_text='IP地址总数')\n total_endpoints = models.IntegerField(default=0, help_text='端点总数')\n total_websites = models.IntegerField(default=0, help_text='网站总数')\n total_vulns = models.IntegerField(default=0, help_text='漏洞总数')\n total_assets = models.IntegerField(default=0, help_text='总资产数（子域名+IP+端点+网站）')\n \n # ==================== 上次统计字段（用于计算趋势）====================\n prev_targets = models.IntegerField(default=0, help_text='上次目标总数')\n prev_subdomains = models.IntegerField(default=0, help_text='上次子域名总数')\n prev_ips = models.IntegerField(default=0, help_text='上次IP地址总数')\n prev_endpoints = models.IntegerField(default=0, help_text='上次端点总数')\n prev_websites = models.IntegerField(default=0, help_text='上次网站总数')\n prev_vulns = models.IntegerField(default=0, help_text='上次漏洞总数')\n prev_assets = models.IntegerField(default=0, help_text='上次总资产数')\n \n # ==================== 时间字段 ====================\n updated_at = models.DateTimeField(auto_now=True, help_text='最后更新时间')\n\n class Meta:\n db_table = 'asset_statistics'\n verbose_name = '资产统计'\n verbose_name_plural = '资产统计'\n\n def __str__(self):\n return f'AssetStatistics (updated: {self.updated_at})'\n\n @classmethod\n def get_or_create_singleton(cls) -> 'AssetStatistics':\n \"\"\"获取或创建单例统计记录\"\"\"\n obj, _ = cls.objects.get_or_create(pk=1)\n return obj\n\n\nclass StatisticsHistory(models.Model):\n \"\"\"\n 统计历史表（用于折线图）\n \n 每天记录一条快照，用于展示趋势。\n 由定时任务在刷新统计时自动写入。\n \"\"\"\n \n date = models.DateField(unique=True, help_text='统计日期')\n \n # 各类资产数量\n total_targets = models.IntegerField(default=0, help_text='目标总数')\n total_subdomains = models.IntegerField(default=0, help_text='子域名总数')\n total_ips = models.IntegerField(default=0, help_text='IP地址总数')\n total_endpoints = models.IntegerField(default=0, help_text='端点总数')\n total_websites = models.IntegerField(default=0, help_text='网站总数')\n total_vulns = models.IntegerField(default=0, help_text='漏洞总数')\n total_assets = models.IntegerField(default=0, help_text='总资产数')\n \n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n updated_at = models.DateTimeField(auto_now=True, help_text='更新时间')\n \n class Meta:\n db_table = 'statistics_history'\n verbose_name = '统计历史'\n verbose_name_plural = '统计历史'\n ordering = ['-date']\n indexes = [\n models.Index(fields=['date']),\n ]\n \n def __str__(self):\n return f'StatisticsHistory ({self.date})'\n" }, { "path": "backend/apps/asset/repositories/__init__.py", "content": "\"\"\"Asset Repositories - 数据访问层\"\"\"\n\n# 资产模块 Repositories\nfrom .asset import (\n DjangoSubdomainRepository,\n DjangoWebSiteRepository,\n DjangoDirectoryRepository,\n DjangoHostPortMappingRepository,\n DjangoEndpointRepository,\n)\n\n# 快照模块 Repositories\nfrom .snapshot import (\n DjangoSubdomainSnapshotRepository,\n DjangoHostPortMappingSnapshotRepository,\n DjangoWebsiteSnapshotRepository,\n DjangoDirectorySnapshotRepository,\n DjangoEndpointSnapshotRepository,\n)\n\n# 统计模块 Repository\nfrom .statistics_repository import AssetStatisticsRepository\n\n__all__ = [\n # 资产模块\n 'DjangoSubdomainRepository',\n 'DjangoWebSiteRepository',\n 'DjangoDirectoryRepository',\n 'DjangoHostPortMappingRepository',\n 'DjangoEndpointRepository',\n # 快照模块\n 'DjangoSubdomainSnapshotRepository',\n 'DjangoHostPortMappingSnapshotRepository',\n 'DjangoWebsiteSnapshotRepository',\n 'DjangoDirectorySnapshotRepository',\n 'DjangoEndpointSnapshotRepository',\n # 统计模块\n 'AssetStatisticsRepository',\n]\n\n\n" }, { "path": "backend/apps/asset/repositories/asset/__init__.py", "content": "\"\"\"Asset Repositories - 数据访问层\"\"\"\n\nfrom .subdomain_repository import DjangoSubdomainRepository\nfrom .website_repository import DjangoWebSiteRepository\nfrom .directory_repository import DjangoDirectoryRepository\nfrom .host_port_mapping_repository import DjangoHostPortMappingRepository\nfrom .endpoint_repository import DjangoEndpointRepository\n\n__all__ = [\n 'DjangoSubdomainRepository',\n 'DjangoWebSiteRepository',\n 'DjangoDirectoryRepository',\n 'DjangoHostPortMappingRepository',\n 'DjangoEndpointRepository',\n]\n" }, { "path": "backend/apps/asset/repositories/asset/directory_repository.py", "content": "\"\"\"\nDjango ORM 实现的 Directory Repository\n\"\"\"\n\nimport logging\nfrom typing import List, Iterator\nfrom django.db import transaction\n\nfrom apps.asset.models.asset_models import Directory\nfrom apps.asset.dtos import DirectoryDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoDirectoryRepository:\n \"\"\"Django ORM 实现的 Directory Repository\"\"\"\n\n def bulk_upsert(self, items: List[DirectoryDTO]) -> int:\n \"\"\"\n 批量创建或更新 Directory（upsert）\n \n 存在则更新所有字段，不存在则创建。\n 使用 Django 原生 update_conflicts。\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: Directory DTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not items:\n return 0\n \n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, Directory)\n \n # 直接从 DTO 字段构建 Model\n directories = [\n Directory(\n target_id=item.target_id,\n url=item.url,\n status=item.status,\n content_length=item.content_length,\n words=item.words,\n lines=item.lines,\n content_type=item.content_type or '',\n duration=item.duration\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n Directory.objects.bulk_create(\n directories,\n update_conflicts=True,\n unique_fields=['target', 'url'],\n update_fields=[\n 'status', 'content_length', 'words',\n 'lines', 'content_type', 'duration'\n ],\n batch_size=1000\n )\n \n logger.debug(f\"批量 upsert Directory 成功: {len(unique_items)} 条\")\n return len(unique_items)\n \n except Exception as e:\n logger.error(f\"批量 upsert Directory 失败: {e}\")\n raise\n\n def bulk_create_ignore_conflicts(self, items: List[DirectoryDTO]) -> int:\n \"\"\"\n 批量创建 Directory（存在即跳过）\n \n 与 bulk_upsert 不同，此方法不会更新已存在的记录。\n 适用于批量添加场景，只提供 URL，没有其他字段数据。\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: Directory DTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not items:\n return 0\n \n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, Directory)\n \n directories = [\n Directory(\n target_id=item.target_id,\n url=item.url,\n status=item.status,\n content_length=item.content_length,\n words=item.words,\n lines=item.lines,\n content_type=item.content_type or '',\n duration=item.duration\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n Directory.objects.bulk_create(\n directories,\n ignore_conflicts=True,\n batch_size=1000\n )\n \n logger.debug(f\"批量创建 Directory 成功（ignore_conflicts）: {len(unique_items)} 条\")\n return len(unique_items)\n \n except Exception as e:\n logger.error(f\"批量创建 Directory 失败: {e}\")\n raise\n\n def count_by_target(self, target_id: int) -> int:\n \"\"\"统计目标下的目录总数\"\"\"\n return Directory.objects.filter(target_id=target_id).count()\n\n def get_all(self):\n \"\"\"获取所有目录\"\"\"\n return Directory.objects.all().order_by('-created_at')\n\n def get_by_target(self, target_id: int):\n \"\"\"获取目标下的所有目录\"\"\"\n return Directory.objects.filter(target_id=target_id).order_by('-created_at')\n\n def get_urls_for_export(self, target_id: int, batch_size: int = 1000) -> Iterator[str]:\n \"\"\"流式导出目标下的所有目录 URL\"\"\"\n try:\n queryset = (\n Directory.objects\n .filter(target_id=target_id)\n .values_list('url', flat=True)\n .order_by('url')\n .iterator(chunk_size=batch_size)\n )\n for url in queryset:\n yield url\n except Exception as e:\n logger.error(\"流式导出目录 URL 失败 - Target ID: %s, 错误: %s\", target_id, e)\n raise\n\n def iter_raw_data_for_export(\n self, \n target_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n batch_size: 每批数据量\n \n Yields:\n 包含所有目录字段的字典\n \"\"\"\n qs = (\n Directory.objects\n .filter(target_id=target_id)\n .values(\n 'url', 'status', 'content_length', 'words',\n 'lines', 'content_type', 'duration', 'created_at'\n )\n .order_by('url')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/asset/endpoint_repository.py", "content": "\"\"\"Endpoint Repository - Django ORM 实现\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.models import Endpoint\nfrom apps.asset.dtos.asset import EndpointDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\nfrom django.db import transaction\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoEndpointRepository:\n \"\"\"端点 Repository - 负责端点表的数据访问\"\"\"\n \n def bulk_upsert(self, items: List[EndpointDTO]) -> int:\n \"\"\"\n 批量创建或更新端点（upsert）\n \n 存在则更新所有字段，不存在则创建。\n 使用 Django 原生 update_conflicts。\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: 端点 DTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not items:\n return 0\n \n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, Endpoint)\n \n # 直接从 DTO 字段构建 Model\n endpoints = [\n Endpoint(\n target_id=item.target_id,\n url=item.url,\n host=item.host or '',\n title=item.title or '',\n status_code=item.status_code,\n content_length=item.content_length,\n webserver=item.webserver or '',\n response_body=item.response_body or '',\n content_type=item.content_type or '',\n tech=item.tech if item.tech else [],\n vhost=item.vhost,\n location=item.location or '',\n matched_gf_patterns=item.matched_gf_patterns if item.matched_gf_patterns else [],\n response_headers=item.response_headers if item.response_headers else ''\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n Endpoint.objects.bulk_create(\n endpoints,\n update_conflicts=True,\n unique_fields=['url', 'target'],\n update_fields=[\n 'host', 'title', 'status_code', 'content_length',\n 'webserver', 'response_body', 'content_type', 'tech',\n 'vhost', 'location', 'matched_gf_patterns', 'response_headers'\n ],\n batch_size=1000\n )\n \n logger.debug(f\"批量 upsert 端点成功: {len(unique_items)} 条\")\n return len(unique_items)\n \n except Exception as e:\n logger.error(f\"批量 upsert 端点失败: {e}\")\n raise\n \n def get_all(self):\n \"\"\"获取所有端点（全局查询）\"\"\"\n return Endpoint.objects.all().order_by('-created_at')\n \n def get_by_target(self, target_id: int):\n \"\"\"\n 获取目标下的所有端点\n \n Args:\n target_id: 目标 ID\n \n Returns:\n QuerySet: 端点查询集\n \"\"\"\n return Endpoint.objects.filter(target_id=target_id).order_by('-created_at')\n \n def count_by_target(self, target_id: int) -> int:\n \"\"\"\n 统计目标下的端点数量\n \n Args:\n target_id: 目标 ID\n \n Returns:\n int: 端点数量\n \"\"\"\n return Endpoint.objects.filter(target_id=target_id).count()\n\n def bulk_create_ignore_conflicts(self, items: List[EndpointDTO]) -> int:\n \"\"\"\n 批量创建端点（存在即跳过）\n \n 与 bulk_upsert 不同，此方法不会更新已存在的记录。\n 适用于快速扫描场景，只提供 URL，没有其他字段数据。\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: 端点 DTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not items:\n return 0\n \n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, Endpoint)\n \n # 直接从 DTO 字段构建 Model\n endpoints = [\n Endpoint(\n target_id=item.target_id,\n url=item.url,\n host=item.host or '',\n title=item.title or '',\n status_code=item.status_code,\n content_length=item.content_length,\n webserver=item.webserver or '',\n response_body=item.response_body or '',\n content_type=item.content_type or '',\n tech=item.tech if item.tech else [],\n vhost=item.vhost,\n location=item.location or '',\n matched_gf_patterns=item.matched_gf_patterns if item.matched_gf_patterns else [],\n response_headers=item.response_headers if item.response_headers else ''\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n Endpoint.objects.bulk_create(\n endpoints,\n ignore_conflicts=True,\n batch_size=1000\n )\n \n logger.debug(f\"批量创建端点成功（ignore_conflicts）: {len(unique_items)} 条\")\n return len(unique_items)\n \n except Exception as e:\n logger.error(f\"批量创建端点失败: {e}\")\n raise\n\n def iter_raw_data_for_export(\n self, \n target_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n batch_size: 每批数据量\n \n Yields:\n 包含所有端点字段的字典\n \"\"\"\n qs = (\n Endpoint.objects\n .filter(target_id=target_id)\n .values(\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at'\n )\n .order_by('url')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/asset/host_port_mapping_repository.py", "content": "\"\"\"HostPortMapping Repository - Django ORM 实现\"\"\"\n\nimport logging\nfrom typing import List, Iterator, Dict, Optional\n\nfrom django.db.models import QuerySet, Min\n\nfrom apps.asset.models.asset_models import HostPortMapping\nfrom apps.asset.dtos.asset import HostPortMappingDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoHostPortMappingRepository:\n \"\"\"HostPortMapping Repository - Django ORM 实现\n \n 职责：纯数据访问，不包含业务逻辑\n \"\"\"\n\n def bulk_create_ignore_conflicts(self, items: List[HostPortMappingDTO]) -> int:\n \"\"\"\n 批量创建主机端口关联（忽略冲突）\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: 主机端口关联 DTO 列表\n \n Returns:\n int: 实际创建的记录数\n \"\"\"\n try:\n logger.debug(\"准备批量创建主机端口关联 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"主机端口关联为空，跳过创建\")\n return 0\n \n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, HostPortMapping)\n \n records = [\n HostPortMapping(\n target_id=item.target_id,\n host=item.host,\n ip=item.ip,\n port=item.port\n )\n for item in unique_items\n ]\n \n created = HostPortMapping.objects.bulk_create(\n records, \n ignore_conflicts=True\n )\n \n created_count = len(created) if created else 0\n logger.debug(\"主机端口关联创建完成 - 数量: %d\", created_count)\n \n return created_count\n \n except Exception as e:\n logger.error(\n \"批量创建主机端口关联失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n\n def get_for_export(self, target_id: int, batch_size: int = 1000):\n queryset = (\n HostPortMapping.objects\n .filter(target_id=target_id)\n .order_by(\"host\", \"port\")\n .values(\"host\", \"port\")\n .iterator(chunk_size=batch_size)\n )\n for item in queryset:\n yield item\n\n def get_ips_for_export(self, target_id: int, batch_size: int = 1000) -> Iterator[str]:\n \"\"\"流式导出目标下的所有唯一 IP 地址。\"\"\"\n queryset = (\n HostPortMapping.objects\n .filter(target_id=target_id)\n .values_list(\"ip\", flat=True)\n .distinct()\n .order_by(\"ip\")\n .iterator(chunk_size=batch_size)\n )\n for ip in queryset:\n yield ip\n\n def get_queryset_by_target(self, target_id: int) -> QuerySet:\n \"\"\"获取目标下的 QuerySet\"\"\"\n return HostPortMapping.objects.filter(target_id=target_id)\n\n def get_all_queryset(self) -> QuerySet:\n \"\"\"获取所有记录的 QuerySet\"\"\"\n return HostPortMapping.objects.all()\n\n def get_queryset_by_ip(self, ip: str, target_id: Optional[int] = None) -> QuerySet:\n \"\"\"获取指定 IP 的 QuerySet\"\"\"\n qs = HostPortMapping.objects.filter(ip=ip)\n if target_id:\n qs = qs.filter(target_id=target_id)\n return qs\n\n def iter_raw_data_for_export(\n self, \n target_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n batch_size: 每批数据量\n \n Yields:\n {\n 'ip': '192.168.1.1',\n 'host': 'example.com',\n 'port': 80,\n 'created_at': datetime\n }\n \"\"\"\n qs = (\n HostPortMapping.objects\n .filter(target_id=target_id)\n .values('ip', 'host', 'port', 'created_at')\n .order_by('ip', 'host', 'port')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/asset/subdomain_repository.py", "content": "\"\"\"Subdomain Repository - Django ORM 实现\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom django.db import transaction\n\nfrom apps.asset.models.asset_models import Subdomain\nfrom apps.asset.dtos import SubdomainDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoSubdomainRepository:\n \"\"\"基于 Django ORM 的子域名仓储实现\"\"\"\n\n def bulk_create_ignore_conflicts(self, items: List[SubdomainDTO]) -> None:\n \"\"\"\n 批量创建子域名，忽略冲突\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: 子域名 DTO 列表\n \"\"\"\n if not items:\n return\n\n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, Subdomain)\n \n subdomain_objects = [\n Subdomain(\n name=item.name,\n target_id=item.target_id,\n )\n for item in unique_items\n ]\n\n with transaction.atomic():\n Subdomain.objects.bulk_create(\n subdomain_objects,\n ignore_conflicts=True,\n )\n\n logger.debug(f\"成功处理 {len(unique_items)} 条子域名记录\")\n\n except Exception as e:\n logger.error(f\"批量插入子域名失败: {e}\")\n raise\n \n def get_all(self):\n \"\"\"获取所有子域名\"\"\"\n return Subdomain.objects.all().order_by('-created_at')\n\n def get_by_target(self, target_id: int):\n \"\"\"获取目标下的所有子域名\"\"\"\n return Subdomain.objects.filter(target_id=target_id).order_by('-created_at')\n \n def count_by_target(self, target_id: int) -> int:\n \"\"\"统计目标下的域名数量\"\"\"\n return Subdomain.objects.filter(target_id=target_id).count()\n \n def get_domains_for_export(self, target_id: int, batch_size: int = 1000) -> Iterator[str]:\n \"\"\"流式导出域名\"\"\"\n queryset = Subdomain.objects.filter(\n target_id=target_id\n ).only('name').iterator(chunk_size=batch_size)\n \n for subdomain in queryset:\n yield subdomain.name\n \n def get_by_names_and_target_id(self, names: set, target_id: int) -> dict:\n \"\"\"根据域名列表和目标ID批量查询 Subdomain\"\"\"\n subdomains = Subdomain.objects.filter(\n name__in=names,\n target_id=target_id\n ).only('id', 'name')\n \n return {sd.name: sd for sd in subdomains}\n\n def iter_raw_data_for_export(\n self, \n target_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n batch_size: 每批数据量\n \n Yields:\n {'name': 'sub.example.com', 'created_at': datetime}\n \"\"\"\n qs = (\n Subdomain.objects\n .filter(target_id=target_id)\n .values('name', 'created_at')\n .order_by('name')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/asset/website_repository.py", "content": "\"\"\"\nDjango ORM 实现的 WebSite Repository\n\"\"\"\n\nimport logging\nfrom typing import List, Generator, Optional, Iterator\nfrom django.db import transaction\n\nfrom apps.asset.models.asset_models import WebSite\nfrom apps.asset.dtos import WebSiteDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoWebSiteRepository:\n \"\"\"Django ORM 实现的 WebSite Repository\"\"\"\n\n def bulk_upsert(self, items: List[WebSiteDTO]) -> int:\n \"\"\"\n 批量创建或更新 WebSite（upsert）\n \n 存在则更新所有字段，不存在则创建。\n 使用 Django 原生 update_conflicts。\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \n Args:\n items: WebSite DTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not items:\n return 0\n \n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, WebSite)\n \n # 直接从 DTO 字段构建 Model\n websites = [\n WebSite(\n target_id=item.target_id,\n url=item.url,\n host=item.host or '',\n location=item.location or '',\n title=item.title or '',\n webserver=item.webserver or '',\n response_body=item.response_body or '',\n content_type=item.content_type or '',\n tech=item.tech if item.tech else [],\n status_code=item.status_code,\n content_length=item.content_length,\n vhost=item.vhost,\n response_headers=item.response_headers if item.response_headers else ''\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n WebSite.objects.bulk_create(\n websites,\n update_conflicts=True,\n unique_fields=['url', 'target'],\n update_fields=[\n 'host', 'location', 'title', 'webserver',\n 'response_body', 'content_type', 'tech',\n 'status_code', 'content_length', 'vhost', 'response_headers'\n ],\n batch_size=1000\n )\n \n logger.debug(f\"批量 upsert WebSite 成功: {len(unique_items)} 条\")\n return len(unique_items)\n \n except Exception as e:\n logger.error(f\"批量 upsert WebSite 失败: {e}\")\n raise\n\n def get_urls_for_export(self, target_id: int, batch_size: int = 1000) -> Generator[str, None, None]:\n \"\"\"\n 流式导出目标下的所有站点 URL\n \"\"\"\n try:\n queryset = WebSite.objects.filter(\n target_id=target_id\n ).values_list('url', flat=True).iterator(chunk_size=batch_size)\n \n for url in queryset:\n yield url\n except Exception as e:\n logger.error(f\"流式导出站点 URL 失败 - Target ID: {target_id}, 错误: {e}\")\n raise\n\n def get_all(self):\n \"\"\"获取所有网站\"\"\"\n return WebSite.objects.all().order_by('-created_at')\n\n def get_by_target(self, target_id: int):\n \"\"\"获取目标下的所有网站\"\"\"\n return WebSite.objects.filter(target_id=target_id).order_by('-created_at')\n\n def count_by_target(self, target_id: int) -> int:\n \"\"\"统计目标下的站点总数\"\"\"\n return WebSite.objects.filter(target_id=target_id).count()\n\n def get_by_url(self, url: str, target_id: int) -> Optional[int]:\n \"\"\"根据 URL 和 target_id 查找站点 ID\"\"\"\n website = WebSite.objects.filter(url=url, target_id=target_id).first()\n return website.id if website else None\n\n def bulk_create_ignore_conflicts(self, items: List[WebSiteDTO]) -> int:\n \"\"\"\n 批量创建 WebSite（存在即跳过）\n \n 注意：自动按模型唯一约束去重，保留最后一条记录。\n \"\"\"\n if not items:\n return 0\n \n try:\n # 自动按模型唯一约束去重\n unique_items = deduplicate_for_bulk(items, WebSite)\n \n websites = [\n WebSite(\n target_id=item.target_id,\n url=item.url,\n host=item.host or '',\n location=item.location or '',\n title=item.title or '',\n webserver=item.webserver or '',\n response_body=item.response_body or '',\n content_type=item.content_type or '',\n tech=item.tech if item.tech else [],\n status_code=item.status_code,\n content_length=item.content_length,\n vhost=item.vhost,\n response_headers=item.response_headers if item.response_headers else ''\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n WebSite.objects.bulk_create(\n websites,\n ignore_conflicts=True,\n batch_size=1000\n )\n \n logger.debug(f\"批量创建 WebSite 成功（ignore_conflicts）: {len(unique_items)} 条\")\n return len(unique_items)\n \n except Exception as e:\n logger.error(f\"批量创建 WebSite 失败: {e}\")\n raise\n\n def iter_raw_data_for_export(\n self, \n target_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n batch_size: 每批数据量\n \n Yields:\n 包含所有网站字段的字典\n \"\"\"\n qs = (\n WebSite.objects\n .filter(target_id=target_id)\n .values(\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'created_at'\n )\n .order_by('url')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/snapshot/__init__.py", "content": "\"\"\"Snapshot Repositories - 数据访问层\"\"\"\n\nfrom .subdomain_snapshot_repository import DjangoSubdomainSnapshotRepository\nfrom .host_port_mapping_snapshot_repository import DjangoHostPortMappingSnapshotRepository\nfrom .website_snapshot_repository import DjangoWebsiteSnapshotRepository\nfrom .directory_snapshot_repository import DjangoDirectorySnapshotRepository\nfrom .endpoint_snapshot_repository import DjangoEndpointSnapshotRepository\nfrom .vulnerability_snapshot_repository import DjangoVulnerabilitySnapshotRepository\n\n__all__ = [\n 'DjangoSubdomainSnapshotRepository',\n 'DjangoHostPortMappingSnapshotRepository', \n 'DjangoWebsiteSnapshotRepository',\n 'DjangoDirectorySnapshotRepository',\n 'DjangoEndpointSnapshotRepository',\n 'DjangoVulnerabilitySnapshotRepository',\n]\n" }, { "path": "backend/apps/asset/repositories/snapshot/directory_snapshot_repository.py", "content": "\"\"\"Directory Snapshot Repository - 目录快照数据访问层\"\"\"\n\nimport logging\nfrom typing import List, Iterator\nfrom django.db import transaction\n\nfrom apps.asset.models import DirectorySnapshot\nfrom apps.asset.dtos.snapshot import DirectorySnapshotDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoDirectorySnapshotRepository:\n \"\"\"\n 目录快照仓储（Django ORM 实现）\n \n 负责目录快照表的数据访问操作\n \"\"\"\n \n def save_snapshots(self, items: List[DirectorySnapshotDTO]) -> None:\n \"\"\"\n 批量保存目录快照记录\n \n 使用 ignore_conflicts 策略，如果快照已存在（相同 scan + url）则跳过\n \n 注意：会自动按 (scan_id, url) 去重，保留最后一条记录。\n \n Args:\n items: 目录快照 DTO 列表\n \n Raises:\n ValueError: items 为空\n Exception: 数据库操作失败\n \"\"\"\n if not items:\n logger.warning(\"目录快照列表为空，跳过保存\")\n return\n \n try:\n # 根据模型唯一约束自动去重\n unique_items = deduplicate_for_bulk(items, DirectorySnapshot)\n \n # 转换为 Django 模型对象\n snapshot_objects = [\n DirectorySnapshot(\n scan_id=item.scan_id,\n url=item.url,\n status=item.status,\n content_length=item.content_length,\n words=item.words,\n lines=item.lines,\n content_type=item.content_type,\n duration=item.duration\n )\n for item in unique_items\n ]\n \n with transaction.atomic():\n # 批量插入，忽略冲突\n # 如果 scan + url 已存在，跳过\n DirectorySnapshot.objects.bulk_create(\n snapshot_objects,\n ignore_conflicts=True\n )\n \n logger.debug(\"成功保存 %d 条目录快照记录\", len(unique_items))\n \n except Exception as e:\n logger.error(\n \"批量保存目录快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n def get_by_scan(self, scan_id: int):\n return DirectorySnapshot.objects.filter(scan_id=scan_id).order_by('-created_at')\n\n def get_all(self):\n return DirectorySnapshot.objects.all().order_by('-created_at')\n\n def iter_raw_data_for_export(\n self, \n scan_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n batch_size: 每批数据量\n \n Yields:\n 包含所有目录字段的字典\n \"\"\"\n qs = (\n DirectorySnapshot.objects\n .filter(scan_id=scan_id)\n .values(\n 'url', 'status', 'content_length', 'words',\n 'lines', 'content_type', 'duration', 'created_at'\n )\n .order_by('url')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/snapshot/endpoint_snapshot_repository.py", "content": "\"\"\"EndpointSnapshot Repository - Django ORM 实现\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.models.snapshot_models import EndpointSnapshot\nfrom apps.asset.dtos.snapshot import EndpointSnapshotDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoEndpointSnapshotRepository:\n \"\"\"端点快照 Repository - 负责端点快照表的数据访问\"\"\"\n\n def save_snapshots(self, items: List[EndpointSnapshotDTO]) -> None:\n \"\"\"\n 保存端点快照\n \n 注意：会自动按 (scan_id, url) 去重，保留最后一条记录。\n \n Args:\n items: 端点快照 DTO 列表\n \n Note:\n - 保存完整的快照数据\n - 基于唯一约束 (scan + url) 自动去重\n \"\"\"\n try:\n logger.debug(\"准备保存端点快照 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"端点快照为空，跳过保存\")\n return\n \n # 根据模型唯一约束自动去重\n unique_items = deduplicate_for_bulk(items, EndpointSnapshot)\n \n # 构建快照对象\n snapshots = []\n for item in unique_items:\n snapshots.append(EndpointSnapshot(\n scan_id=item.scan_id,\n url=item.url,\n host=item.host if item.host else '',\n title=item.title,\n status_code=item.status_code,\n content_length=item.content_length,\n location=item.location,\n webserver=item.webserver,\n content_type=item.content_type,\n tech=item.tech if item.tech else [],\n response_body=item.response_body,\n vhost=item.vhost,\n matched_gf_patterns=item.matched_gf_patterns if item.matched_gf_patterns else [],\n response_headers=item.response_headers if item.response_headers else ''\n ))\n \n # 批量创建（忽略冲突，基于唯一约束去重）\n EndpointSnapshot.objects.bulk_create(\n snapshots, \n ignore_conflicts=True\n )\n \n logger.debug(\"端点快照保存成功 - 数量: %d\", len(snapshots))\n \n except Exception as e:\n logger.error(\n \"保存端点快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n def get_by_scan(self, scan_id: int):\n return EndpointSnapshot.objects.filter(scan_id=scan_id).order_by('-created_at')\n\n def get_all(self):\n return EndpointSnapshot.objects.all().order_by('-created_at')\n\n def iter_raw_data_for_export(\n self, \n scan_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n batch_size: 每批数据量\n \n Yields:\n 包含所有端点字段的字典\n \"\"\"\n qs = (\n EndpointSnapshot.objects\n .filter(scan_id=scan_id)\n .values(\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at'\n )\n .order_by('url')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/snapshot/host_port_mapping_snapshot_repository.py", "content": "\"\"\"HostPortMappingSnapshot Repository - Django ORM 实现\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.models.snapshot_models import HostPortMappingSnapshot\nfrom apps.asset.dtos.snapshot import HostPortMappingSnapshotDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoHostPortMappingSnapshotRepository:\n \"\"\"HostPortMappingSnapshot Repository - Django ORM 实现，负责主机端口映射快照表的数据访问\"\"\"\n\n def save_snapshots(self, items: List[HostPortMappingSnapshotDTO]) -> None:\n \"\"\"\n 保存主机端口关联快照\n \n 注意：会自动按 (scan_id, host, ip, port) 去重，保留最后一条记录。\n \n Args:\n items: 主机端口关联快照 DTO 列表\n \n Note:\n - 保存完整的快照数据\n - 基于唯一约束 (scan + host + ip + port) 自动去重\n \"\"\"\n try:\n logger.debug(\"准备保存主机端口关联快照 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"主机端口关联快照为空，跳过保存\")\n return\n \n # 根据模型唯一约束自动去重\n unique_items = deduplicate_for_bulk(items, HostPortMappingSnapshot)\n \n # 构建快照对象\n snapshots = []\n for item in unique_items:\n snapshots.append(HostPortMappingSnapshot(\n scan_id=item.scan_id,\n host=item.host,\n ip=item.ip,\n port=item.port\n ))\n \n # 批量创建（忽略冲突，基于唯一约束去重）\n HostPortMappingSnapshot.objects.bulk_create(\n snapshots, \n ignore_conflicts=True\n )\n \n logger.debug(\"主机端口关联快照保存成功 - 数量: %d\", len(snapshots))\n \n except Exception as e:\n logger.error(\n \"保存主机端口关联快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n def get_ip_aggregation_by_scan(self, scan_id: int, filter_query: str = None):\n from django.db.models import Min\n from apps.common.utils.filter_utils import apply_filters\n\n qs = HostPortMappingSnapshot.objects.filter(scan_id=scan_id)\n \n # 应用智能过滤\n if filter_query:\n field_mapping = {\n 'ip': 'ip',\n 'port': 'port',\n 'host': 'host',\n }\n qs = apply_filters(qs, filter_query, field_mapping)\n\n ip_aggregated = (\n qs\n .values('ip')\n .annotate(\n created_at=Min('created_at')\n )\n .order_by('-created_at')\n )\n\n results = []\n for item in ip_aggregated:\n ip = item['ip']\n mappings = (\n HostPortMappingSnapshot.objects\n .filter(scan_id=scan_id, ip=ip)\n .values('host', 'port')\n .distinct()\n )\n\n hosts = sorted({m['host'] for m in mappings})\n ports = sorted({m['port'] for m in mappings})\n\n results.append({\n 'ip': ip,\n 'hosts': hosts,\n 'ports': ports,\n 'created_at': item['created_at'],\n })\n\n return results\n\n def get_all_ip_aggregation(self, filter_query: str = None):\n \"\"\"获取所有 IP 聚合数据\"\"\"\n from django.db.models import Min\n from apps.common.utils.filter_utils import apply_filters\n\n qs = HostPortMappingSnapshot.objects.all()\n \n # 应用智能过滤\n if filter_query:\n field_mapping = {\n 'ip': 'ip',\n 'port': 'port',\n 'host': 'host',\n }\n qs = apply_filters(qs, filter_query, field_mapping)\n\n ip_aggregated = (\n qs\n .values('ip')\n .annotate(created_at=Min('created_at'))\n .order_by('-created_at')\n )\n\n results = []\n for item in ip_aggregated:\n ip = item['ip']\n mappings = (\n HostPortMappingSnapshot.objects\n .filter(ip=ip)\n .values('host', 'port')\n .distinct()\n )\n hosts = sorted({m['host'] for m in mappings})\n ports = sorted({m['port'] for m in mappings})\n results.append({\n 'ip': ip,\n 'hosts': hosts,\n 'ports': ports,\n 'created_at': item['created_at'],\n })\n return results\n\n def get_ips_for_export(self, scan_id: int, batch_size: int = 1000) -> Iterator[str]:\n \"\"\"流式导出扫描下的所有唯一 IP 地址。\"\"\"\n queryset = (\n HostPortMappingSnapshot.objects\n .filter(scan_id=scan_id)\n .values_list(\"ip\", flat=True)\n .distinct()\n .order_by(\"ip\")\n .iterator(chunk_size=batch_size)\n )\n for ip in queryset:\n yield ip\n\n def iter_raw_data_for_export(\n self, \n scan_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n batch_size: 每批数据量\n \n Yields:\n {\n 'ip': '192.168.1.1',\n 'host': 'example.com',\n 'port': 80,\n 'created_at': datetime\n }\n \"\"\"\n qs = (\n HostPortMappingSnapshot.objects\n .filter(scan_id=scan_id)\n .values('ip', 'host', 'port', 'created_at')\n .order_by('ip', 'host', 'port')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/snapshot/subdomain_snapshot_repository.py", "content": "\"\"\"Django ORM 实现的 SubdomainSnapshot Repository\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.models.snapshot_models import SubdomainSnapshot\nfrom apps.asset.dtos import SubdomainSnapshotDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoSubdomainSnapshotRepository:\n \"\"\"子域名快照 Repository - 负责子域名快照表的数据访问\"\"\"\n\n def save_subdomain_snapshots(self, items: List[SubdomainSnapshotDTO]) -> None:\n \"\"\"\n 保存子域名快照\n \n 注意：会自动按 (scan_id, name) 去重，保留最后一条记录。\n \n Args:\n items: 子域名快照 DTO 列表\n \n Note:\n - 保存完整的快照数据\n - 基于唯一约束自动去重（忽略冲突）\n \"\"\"\n try:\n logger.debug(\"准备保存子域名快照 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"子域名快照为空，跳过保存\")\n return\n \n # 根据模型唯一约束自动去重\n unique_items = deduplicate_for_bulk(items, SubdomainSnapshot)\n \n # 构建快照对象\n snapshots = []\n for item in unique_items:\n snapshots.append(SubdomainSnapshot(\n scan_id=item.scan_id,\n name=item.name,\n ))\n \n # 批量创建（忽略冲突，基于唯一约束去重）\n SubdomainSnapshot.objects.bulk_create(snapshots, ignore_conflicts=True)\n \n logger.debug(\"子域名快照保存成功 - 数量: %d\", len(snapshots))\n \n except Exception as e:\n logger.error(\n \"保存子域名快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n def get_by_scan(self, scan_id: int):\n return SubdomainSnapshot.objects.filter(scan_id=scan_id).order_by('-created_at')\n\n def get_all(self):\n return SubdomainSnapshot.objects.all().order_by('-created_at')\n\n def iter_raw_data_for_export(\n self, \n scan_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n batch_size: 每批数据量\n \n Yields:\n {'name': 'sub.example.com', 'created_at': datetime}\n \"\"\"\n qs = (\n SubdomainSnapshot.objects\n .filter(scan_id=scan_id)\n .values('name', 'created_at')\n .order_by('name')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/snapshot/vulnerability_snapshot_repository.py", "content": "\"\"\"Vulnerability Snapshot Repository - 漏洞快照数据访问层\"\"\"\n\nimport logging\nfrom typing import List\n\nfrom django.db import transaction\n\nfrom apps.asset.models import VulnerabilitySnapshot\nfrom apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoVulnerabilitySnapshotRepository:\n \"\"\"漏洞快照仓储（Django ORM 实现）\"\"\"\n\n def save_snapshots(self, items: List[VulnerabilitySnapshotDTO]) -> None:\n \"\"\"批量保存漏洞快照记录。\n\n 使用 ``ignore_conflicts`` 策略，如果快照已存在则跳过。\n 具体唯一约束由数据库模型控制。\n \n 注意：会自动按唯一约束字段去重，保留最后一条记录。\n \"\"\"\n if not items:\n logger.warning(\"漏洞快照列表为空，跳过保存\")\n return\n\n try:\n # 根据模型唯一约束自动去重\n unique_items = deduplicate_for_bulk(items, VulnerabilitySnapshot)\n \n snapshot_objects = [\n VulnerabilitySnapshot(\n scan_id=item.scan_id,\n url=item.url,\n vuln_type=item.vuln_type,\n severity=item.severity,\n source=item.source,\n cvss_score=item.cvss_score,\n description=item.description,\n raw_output=item.raw_output,\n )\n for item in unique_items\n ]\n\n with transaction.atomic():\n VulnerabilitySnapshot.objects.bulk_create(\n snapshot_objects,\n ignore_conflicts=True,\n )\n\n logger.debug(\"成功保存 %d 条漏洞快照记录\", len(unique_items))\n\n except Exception as e:\n logger.error(\n \"批量保存漏洞快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True,\n )\n raise\n\n def get_by_scan(self, scan_id: int):\n \"\"\"按扫描任务获取漏洞快照 QuerySet。\"\"\"\n return VulnerabilitySnapshot.objects.filter(scan_id=scan_id).order_by(\"-created_at\")\n\n def get_all(self):\n return VulnerabilitySnapshot.objects.all().order_by('-created_at')\n" }, { "path": "backend/apps/asset/repositories/snapshot/website_snapshot_repository.py", "content": "\"\"\"WebsiteSnapshot Repository - Django ORM 实现\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.models.snapshot_models import WebsiteSnapshot\nfrom apps.asset.dtos.snapshot import WebsiteSnapshotDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoWebsiteSnapshotRepository:\n \"\"\"网站快照 Repository - 负责网站快照表的数据访问\"\"\"\n\n def save_snapshots(self, items: List[WebsiteSnapshotDTO]) -> None:\n \"\"\"\n 保存网站快照\n \n 注意：会自动按 (scan_id, url) 去重，保留最后一条记录。\n \n Args:\n items: 网站快照 DTO 列表\n \n Note:\n - 保存完整的快照数据\n - 基于唯一约束 (scan + subdomain + url) 自动去重\n \"\"\"\n try:\n logger.debug(\"准备保存网站快照 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"网站快照为空，跳过保存\")\n return\n \n # 根据模型唯一约束自动去重\n unique_items = deduplicate_for_bulk(items, WebsiteSnapshot)\n \n # 构建快照对象\n snapshots = []\n for item in unique_items:\n snapshots.append(WebsiteSnapshot(\n scan_id=item.scan_id,\n url=item.url,\n host=item.host,\n title=item.title,\n status_code=item.status_code,\n content_length=item.content_length,\n location=item.location,\n webserver=item.webserver,\n content_type=item.content_type,\n tech=item.tech if item.tech else [],\n response_body=item.response_body,\n vhost=item.vhost,\n response_headers=item.response_headers if item.response_headers else ''\n ))\n \n # 批量创建（忽略冲突，基于唯一约束去重）\n WebsiteSnapshot.objects.bulk_create(\n snapshots, \n ignore_conflicts=True\n )\n \n logger.debug(\"网站快照保存成功 - 数量: %d\", len(snapshots))\n \n except Exception as e:\n logger.error(\n \"保存网站快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n def get_by_scan(self, scan_id: int):\n return WebsiteSnapshot.objects.filter(scan_id=scan_id).order_by('-created_at')\n\n def get_all(self):\n return WebsiteSnapshot.objects.all().order_by('-created_at')\n\n def iter_raw_data_for_export(\n self, \n scan_id: int,\n batch_size: int = 1000\n ) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n batch_size: 每批数据量\n \n Yields:\n 包含所有网站字段的字典\n \"\"\"\n qs = (\n WebsiteSnapshot.objects\n .filter(scan_id=scan_id)\n .values(\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'created_at'\n )\n .order_by('url')\n )\n \n for row in qs.iterator(chunk_size=batch_size):\n yield row\n" }, { "path": "backend/apps/asset/repositories/statistics_repository.py", "content": "\"\"\"资产统计 Repository\"\"\"\nimport logging\nfrom datetime import date, timedelta\nfrom typing import Optional, List\n\nfrom apps.asset.models import AssetStatistics, StatisticsHistory\n\nlogger = logging.getLogger(__name__)\n\n\nclass AssetStatisticsRepository:\n \"\"\"\n 资产统计数据访问层\n \n 职责：\n - 读取/更新预聚合的统计数据\n \"\"\"\n\n def get_statistics(self) -> Optional[AssetStatistics]:\n \"\"\"\n 获取统计数据\n \n Returns:\n 统计数据对象，不存在则返回 None\n \"\"\"\n return AssetStatistics.objects.first()\n\n def get_or_create_statistics(self) -> AssetStatistics:\n \"\"\"\n 获取或创建统计数据（单例）\n \n Returns:\n 统计数据对象\n \"\"\"\n return AssetStatistics.get_or_create_singleton()\n\n def update_statistics(\n self,\n total_targets: int,\n total_subdomains: int,\n total_ips: int,\n total_endpoints: int,\n total_websites: int,\n total_vulns: int,\n ) -> AssetStatistics:\n \"\"\"\n 更新统计数据\n \n Args:\n total_targets: 目标总数\n total_subdomains: 子域名总数\n total_ips: IP 总数\n total_endpoints: 端点总数\n total_websites: 网站总数\n total_vulns: 漏洞总数\n \n Returns:\n 更新后的统计数据对象\n \"\"\"\n stats = self.get_or_create_statistics()\n \n # 1. 保存当前值到 prev_* 字段\n stats.prev_targets = stats.total_targets\n stats.prev_subdomains = stats.total_subdomains\n stats.prev_ips = stats.total_ips\n stats.prev_endpoints = stats.total_endpoints\n stats.prev_websites = stats.total_websites\n stats.prev_vulns = stats.total_vulns\n stats.prev_assets = stats.total_assets\n \n # 2. 更新当前值\n stats.total_targets = total_targets\n stats.total_subdomains = total_subdomains\n stats.total_ips = total_ips\n stats.total_endpoints = total_endpoints\n stats.total_websites = total_websites\n stats.total_vulns = total_vulns\n stats.total_assets = total_subdomains + total_ips + total_endpoints + total_websites\n stats.save()\n \n logger.info(\n \"更新资产统计: targets=%d, subdomains=%d, ips=%d, endpoints=%d, websites=%d, vulns=%d, assets=%d\",\n total_targets, total_subdomains, total_ips, total_endpoints, total_websites, total_vulns, stats.total_assets\n )\n return stats\n\n def save_daily_snapshot(self, stats: AssetStatistics) -> StatisticsHistory:\n \"\"\"\n 保存每日统计快照（幂等，每天只存一条）\n \n Args:\n stats: 当前统计数据\n \n Returns:\n 历史记录对象\n \"\"\"\n history, created = StatisticsHistory.objects.update_or_create(\n date=date.today(),\n defaults={\n 'total_targets': stats.total_targets,\n 'total_subdomains': stats.total_subdomains,\n 'total_ips': stats.total_ips,\n 'total_endpoints': stats.total_endpoints,\n 'total_websites': stats.total_websites,\n 'total_vulns': stats.total_vulns,\n 'total_assets': stats.total_assets,\n }\n )\n action = \"创建\" if created else \"更新\"\n logger.info(f\"{action}统计快照: date={history.date}, assets={history.total_assets}\")\n return history\n\n def get_history(self, days: int = 7) -> List[StatisticsHistory]:\n \"\"\"\n 获取历史统计数据（用于折线图）\n \n Args:\n days: 获取最近多少天的数据，默认 7 天\n \n Returns:\n 历史记录列表，按日期升序\n \"\"\"\n start_date = date.today() - timedelta(days=days - 1)\n return list(\n StatisticsHistory.objects\n .filter(date__gte=start_date)\n .order_by('date')\n )\n" }, { "path": "backend/apps/asset/serializers.py", "content": "from rest_framework import serializers\nfrom .models import Subdomain, WebSite, Directory, HostPortMapping, Endpoint, Vulnerability\nfrom .models.snapshot_models import (\n SubdomainSnapshot,\n WebsiteSnapshot,\n DirectorySnapshot,\n EndpointSnapshot,\n VulnerabilitySnapshot,\n)\nfrom .models.screenshot_models import Screenshot, ScreenshotSnapshot\n\n\n# 注意：IPAddress 和 Port 模型已被重构为 HostPortMapping\n# 以下是基于新架构的序列化器实现\n\n# class PortSerializer(serializers.ModelSerializer):\n# \"\"\"端口序列化器\"\"\"\n# \n# class Meta:\n# model = Port\n# fields = ['number', 'service_name', 'description', 'is_uncommon']\n\n\nclass SubdomainSerializer(serializers.ModelSerializer):\n \"\"\"子域名序列化器\"\"\"\n \n class Meta:\n model = Subdomain\n fields = [\n 'id', 'name', 'created_at', 'target'\n ]\n read_only_fields = ['id', 'created_at']\n\n\nclass SubdomainListSerializer(serializers.ModelSerializer):\n \"\"\"子域名列表序列化器（用于扫描详情）\"\"\"\n \n # 注意：Subdomain 模型已简化，只保留核心字段\n # cname, is_cdn, cdn_name 等字段已移至 SubdomainSnapshot\n # ports 和 ip_addresses 关系已被重构为 HostPortMapping\n \n class Meta:\n model = Subdomain\n fields = [\n 'id', 'name', 'created_at'\n ]\n read_only_fields = ['id', 'created_at']\n\n\n# class IPAddressListSerializer(serializers.ModelSerializer):\n# \"\"\"IP 地址列表序列化器\"\"\"\n#\n# subdomain = serializers.CharField(source='subdomain.name', allow_blank=True, default='')\n# created_at = serializers.DateTimeField(read_only=True)\n# ports = PortSerializer(many=True, read_only=True)\n#\n# class Meta:\n# model = IPAddress\n# fields = [\n# 'id',\n# 'ip',\n# 'subdomain',\n# 'reverse_pointer',\n# 'created_at',\n# 'ports',\n# ]\n# read_only_fields = fields\n\n\nclass WebSiteSerializer(serializers.ModelSerializer):\n \"\"\"站点序列化器（目标详情页）\"\"\"\n \n subdomain = serializers.CharField(source='subdomain.name', allow_blank=True, default='')\n responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头\n \n class Meta:\n model = WebSite\n fields = [\n 'id',\n 'url',\n 'host',\n 'location', \n 'title',\n 'webserver',\n 'content_type',\n 'status_code',\n 'content_length',\n 'response_body',\n 'tech',\n 'vhost',\n 'responseHeaders', # HTTP响应头\n 'subdomain',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass VulnerabilitySerializer(serializers.ModelSerializer):\n \"\"\"漏洞资产序列化器（按目标查看漏洞资产）。\"\"\"\n\n class Meta:\n model = Vulnerability\n fields = [\n 'id',\n 'target',\n 'url',\n 'vuln_type',\n 'severity',\n 'source',\n 'cvss_score',\n 'description',\n 'raw_output',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass VulnerabilitySnapshotSerializer(serializers.ModelSerializer):\n \"\"\"漏洞快照序列化器（用于扫描历史漏洞列表）。\"\"\"\n\n class Meta:\n model = VulnerabilitySnapshot\n fields = [\n 'id',\n 'url',\n 'vuln_type',\n 'severity',\n 'source',\n 'cvss_score',\n 'description',\n 'raw_output',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass EndpointListSerializer(serializers.ModelSerializer):\n \"\"\"端点列表序列化器（用于目标端点列表页）\"\"\"\n\n # GF 匹配模式（gf-patterns 工具匹配的敏感 URL 模式）\n gfPatterns = serializers.ListField(\n child=serializers.CharField(),\n source='matched_gf_patterns',\n read_only=True,\n )\n responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头\n\n class Meta:\n model = Endpoint\n fields = [\n 'id',\n 'url',\n 'location',\n 'status_code',\n 'title',\n 'content_length',\n 'content_type',\n 'webserver',\n 'response_body',\n 'tech',\n 'vhost',\n 'responseHeaders', # HTTP响应头\n 'gfPatterns',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass DirectorySerializer(serializers.ModelSerializer):\n \"\"\"目录序列化器\"\"\"\n \n created_at = serializers.DateTimeField(read_only=True)\n \n class Meta:\n model = Directory\n fields = [\n 'id',\n 'url',\n 'status',\n 'content_length',\n 'words',\n 'lines',\n 'content_type',\n 'duration',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass IPAddressAggregatedSerializer(serializers.Serializer):\n \"\"\"\n IP 地址聚合序列化器\n \n 基于 HostPortMapping 模型，按 IP 聚合显示：\n - ip: IP 地址\n - hosts: 该 IP 关联的所有主机名列表\n - ports: 该 IP 关联的所有端口列表\n - created_at: 创建时间\n \"\"\"\n ip = serializers.IPAddressField(read_only=True)\n hosts = serializers.ListField(child=serializers.CharField(), read_only=True)\n ports = serializers.ListField(child=serializers.IntegerField(), read_only=True)\n created_at = serializers.DateTimeField(read_only=True)\n\n\n# ==================== 快照序列化器 ====================\n\nclass SubdomainSnapshotSerializer(serializers.ModelSerializer):\n \"\"\"子域名快照序列化器（用于扫描历史）\"\"\"\n \n class Meta:\n model = SubdomainSnapshot\n fields = ['id', 'name', 'created_at']\n read_only_fields = fields\n\n\nclass WebsiteSnapshotSerializer(serializers.ModelSerializer):\n \"\"\"网站快照序列化器（用于扫描历史）\"\"\"\n \n subdomain_name = serializers.CharField(source='subdomain.name', read_only=True)\n responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头\n \n class Meta:\n model = WebsiteSnapshot\n fields = [\n 'id',\n 'url',\n 'location',\n 'title',\n 'webserver',\n 'content_type',\n 'status_code',\n 'content_length',\n 'response_body',\n 'tech',\n 'vhost',\n 'responseHeaders', # HTTP响应头\n 'subdomain_name',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass DirectorySnapshotSerializer(serializers.ModelSerializer):\n \"\"\"目录快照序列化器（用于扫描历史）\"\"\"\n \n class Meta:\n model = DirectorySnapshot\n fields = [\n 'id',\n 'url',\n 'status',\n 'content_length',\n 'words',\n 'lines',\n 'content_type',\n 'duration',\n 'created_at',\n ]\n read_only_fields = fields\n\n\nclass EndpointSnapshotSerializer(serializers.ModelSerializer):\n \"\"\"端点快照序列化器（用于扫描历史）\"\"\"\n\n # GF 匹配模式（gf-patterns 工具匹配的敏感 URL 模式）\n gfPatterns = serializers.ListField(\n child=serializers.CharField(),\n source='matched_gf_patterns',\n read_only=True,\n )\n responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头\n\n class Meta:\n model = EndpointSnapshot\n fields = [\n 'id',\n 'url',\n 'host',\n 'location',\n 'title',\n 'webserver',\n 'content_type',\n 'status_code',\n 'content_length',\n 'response_body',\n 'tech',\n 'vhost',\n 'responseHeaders', # HTTP响应头\n 'gfPatterns',\n 'created_at',\n ]\n read_only_fields = fields\n\n\n# ==================== 截图序列化器 ====================\n\nclass ScreenshotListSerializer(serializers.ModelSerializer):\n \"\"\"截图资产列表序列化器（不包含 image 字段）\"\"\"\n \n class Meta:\n model = Screenshot\n fields = ['id', 'url', 'status_code', 'created_at', 'updated_at']\n read_only_fields = fields\n\n\nclass ScreenshotSnapshotListSerializer(serializers.ModelSerializer):\n \"\"\"截图快照列表序列化器（不包含 image 字段）\"\"\"\n \n class Meta:\n model = ScreenshotSnapshot\n fields = ['id', 'url', 'status_code', 'created_at']\n read_only_fields = fields\n" }, { "path": "backend/apps/asset/services/__init__.py", "content": "\"\"\"Asset Services - 业务逻辑层\"\"\"\n\n# 资产模块 Services\nfrom .asset import (\n SubdomainService,\n WebSiteService,\n DirectoryService,\n HostPortMappingService,\n EndpointService,\n VulnerabilityService,\n)\n\n# 快照模块 Services\nfrom .snapshot import (\n SubdomainSnapshotsService,\n HostPortMappingSnapshotsService,\n WebsiteSnapshotsService,\n DirectorySnapshotsService,\n EndpointSnapshotsService,\n VulnerabilitySnapshotsService,\n)\n\n# 统计模块 Service\nfrom .statistics_service import AssetStatisticsService\n\n__all__ = [\n # 资产模块\n 'SubdomainService',\n 'WebSiteService',\n 'DirectoryService',\n 'HostPortMappingService',\n 'EndpointService',\n 'VulnerabilityService',\n # 快照模块\n 'SubdomainSnapshotsService',\n 'HostPortMappingSnapshotsService',\n 'WebsiteSnapshotsService',\n 'DirectorySnapshotsService',\n 'EndpointSnapshotsService',\n 'VulnerabilitySnapshotsService',\n # 统计模块\n 'AssetStatisticsService',\n]\n" }, { "path": "backend/apps/asset/services/asset/__init__.py", "content": "\"\"\"Asset Services - 资产模块的业务逻辑层\"\"\"\n\nfrom .subdomain_service import SubdomainService\nfrom .website_service import WebSiteService\nfrom .directory_service import DirectoryService\nfrom .host_port_mapping_service import HostPortMappingService\nfrom .endpoint_service import EndpointService\nfrom .vulnerability_service import VulnerabilityService\n\n__all__ = [\n 'SubdomainService',\n 'WebSiteService',\n 'DirectoryService',\n 'HostPortMappingService',\n 'EndpointService',\n 'VulnerabilityService',\n]\n" }, { "path": "backend/apps/asset/services/asset/directory_service.py", "content": "\"\"\"Directory Service - 目录业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator, Optional\n\nfrom apps.asset.repositories import DjangoDirectoryRepository\nfrom apps.asset.dtos import DirectoryDTO\nfrom apps.common.validators import is_valid_url, is_url_match_target\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\nclass DirectoryService:\n \"\"\"目录业务逻辑层\"\"\"\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'url': 'url',\n 'status': 'status',\n }\n \n def __init__(self, repository=None):\n \"\"\"初始化目录服务\"\"\"\n self.repo = repository or DjangoDirectoryRepository()\n \n def bulk_upsert(self, directory_dtos: List[DirectoryDTO]) -> int:\n \"\"\"\n 批量创建或更新目录（upsert）\n \n 存在则更新所有字段，不存在则创建。\n \n Args:\n directory_dtos: DirectoryDTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not directory_dtos:\n return 0\n \n try:\n return self.repo.bulk_upsert(directory_dtos)\n except Exception as e:\n logger.error(f\"批量 upsert 目录失败: {e}\")\n raise\n \n def bulk_create_urls(self, target_id: int, target_name: str, target_type: str, urls: List[str]) -> int:\n \"\"\"\n 批量创建目录（仅 URL，使用 ignore_conflicts）\n \n 验证 URL 格式和匹配，过滤无效/不匹配 URL，去重后批量创建。\n 已存在的记录会被跳过。\n \n Args:\n target_id: 目标 ID\n target_name: 目标名称（用于匹配验证）\n target_type: 目标类型 ('domain', 'ip', 'cidr')\n urls: URL 列表\n \n Returns:\n int: 实际创建的记录数\n \"\"\"\n if not urls:\n return 0\n \n # 过滤有效 URL 并去重\n valid_urls = []\n seen = set()\n \n for url in urls:\n if not isinstance(url, str):\n continue\n url = url.strip()\n if not url or url in seen:\n continue\n if not is_valid_url(url):\n continue\n \n # 匹配验证（前端已阻止不匹配的提交，后端作为双重保障）\n if not is_url_match_target(url, target_name, target_type):\n continue\n \n seen.add(url)\n valid_urls.append(url)\n \n if not valid_urls:\n return 0\n \n # 获取创建前的数量\n count_before = self.repo.count_by_target(target_id)\n \n # 创建 DTO 列表并批量创建\n directory_dtos = [\n DirectoryDTO(url=url, target_id=target_id)\n for url in valid_urls\n ]\n self.repo.bulk_create_ignore_conflicts(directory_dtos)\n \n # 获取创建后的数量\n count_after = self.repo.count_by_target(target_id)\n return count_after - count_before\n \n def get_directories_by_target(self, target_id: int, filter_query: Optional[str] = None):\n \"\"\"获取目标下的所有目录\"\"\"\n queryset = self.repo.get_by_target(target_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n \n def get_all(self, filter_query: Optional[str] = None):\n \"\"\"获取所有目录\"\"\"\n queryset = self.repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def iter_directory_urls_by_target(self, target_id: int, chunk_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取目标下的所有目录 URL\"\"\"\n return self.repo.get_urls_for_export(target_id=target_id, batch_size=chunk_size)\n\n def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n \n Yields:\n 原始数据字典\n \"\"\"\n return self.repo.iter_raw_data_for_export(target_id=target_id)\n\n\n__all__ = ['DirectoryService']\n" }, { "path": "backend/apps/asset/services/asset/endpoint_service.py", "content": "\"\"\"\nEndpoint 服务层\n\n处理 URL/端点相关的业务逻辑\n\"\"\"\n\nimport logging\nfrom typing import List, Iterator, Optional\n\nfrom apps.asset.dtos.asset import EndpointDTO\nfrom apps.asset.repositories.asset import DjangoEndpointRepository\nfrom apps.common.validators import is_valid_url, is_url_match_target\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\nclass EndpointService:\n \"\"\"\n Endpoint 服务类\n \n 提供 Endpoint（URL/端点）相关的业务逻辑\n \"\"\"\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'url': 'url',\n 'host': 'host',\n 'title': 'title',\n 'status_code': 'status_code',\n 'tech': 'tech',\n }\n \n def __init__(self):\n \"\"\"初始化 Endpoint 服务\"\"\"\n self.repo = DjangoEndpointRepository()\n \n def bulk_upsert(self, endpoints: List[EndpointDTO]) -> int:\n \"\"\"\n 批量创建或更新端点（upsert）\n \n 存在则更新所有字段，不存在则创建。\n \n Args:\n endpoints: 端点数据列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not endpoints:\n return 0\n \n try:\n return self.repo.bulk_upsert(endpoints)\n except Exception as e:\n logger.error(f\"批量 upsert 端点失败: {e}\")\n raise\n \n def bulk_create_urls(self, target_id: int, target_name: str, target_type: str, urls: List[str]) -> int:\n \"\"\"\n 批量创建端点（仅 URL，使用 ignore_conflicts）\n \n 验证 URL 格式和匹配，过滤无效/不匹配 URL，去重后批量创建。\n 已存在的记录会被跳过。\n \n Args:\n target_id: 目标 ID\n target_name: 目标名称（用于匹配验证）\n target_type: 目标类型 ('domain', 'ip', 'cidr')\n urls: URL 列表\n \n Returns:\n int: 实际创建的记录数\n \"\"\"\n if not urls:\n return 0\n \n # 过滤有效 URL 并去重\n valid_urls = []\n seen = set()\n \n for url in urls:\n if not isinstance(url, str):\n continue\n url = url.strip()\n if not url or url in seen:\n continue\n if not is_valid_url(url):\n continue\n \n # 匹配验证（前端已阻止不匹配的提交，后端作为双重保障）\n if not is_url_match_target(url, target_name, target_type):\n continue\n \n seen.add(url)\n valid_urls.append(url)\n \n if not valid_urls:\n return 0\n \n # 获取创建前的数量\n count_before = self.repo.count_by_target(target_id)\n \n # 创建 DTO 列表并批量创建\n endpoint_dtos = [\n EndpointDTO(url=url, target_id=target_id)\n for url in valid_urls\n ]\n self.repo.bulk_create_ignore_conflicts(endpoint_dtos)\n \n # 获取创建后的数量\n count_after = self.repo.count_by_target(target_id)\n return count_after - count_before\n \n def get_endpoints_by_target(self, target_id: int, filter_query: Optional[str] = None):\n \"\"\"获取目标下的所有端点\"\"\"\n queryset = self.repo.get_by_target(target_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech'])\n return queryset\n \n def count_endpoints_by_target(self, target_id: int) -> int:\n \"\"\"\n 统计目标下的端点数量\n \n Args:\n target_id: 目标 ID\n \n Returns:\n int: 端点数量\n \"\"\"\n return self.repo.count_by_target(target_id)\n\n def get_all(self, filter_query: Optional[str] = None):\n \"\"\"获取所有端点（全局查询）\"\"\"\n queryset = self.repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech'])\n return queryset\n \n def iter_endpoint_urls_by_target(self, target_id: int, chunk_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取目标下的所有端点 URL，用于导出。\"\"\"\n queryset = self.repo.get_by_target(target_id)\n for url in queryset.values_list('url', flat=True).iterator(chunk_size=chunk_size):\n yield url\n\n def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n \n Yields:\n 原始数据字典\n \"\"\"\n return self.repo.iter_raw_data_for_export(target_id=target_id)\n" }, { "path": "backend/apps/asset/services/asset/host_port_mapping_service.py", "content": "\"\"\"HostPortMapping Service - 业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator, Optional, Dict\n\nfrom django.db.models import Min\n\nfrom apps.asset.repositories.asset import DjangoHostPortMappingRepository\nfrom apps.asset.dtos.asset import HostPortMappingDTO\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\nclass HostPortMappingService:\n \"\"\"主机端口映射服务 - 负责主机端口映射数据的业务逻辑\n \n 职责：\n - 业务逻辑处理（过滤、聚合）\n - 调用 Repository 进行数据访问\n \"\"\"\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'ip': 'ip',\n 'port': 'port',\n 'host': 'host',\n }\n \n def __init__(self):\n self.repo = DjangoHostPortMappingRepository()\n \n def bulk_create_ignore_conflicts(self, items: List[HostPortMappingDTO]) -> int:\n \"\"\"\n 批量创建主机端口映射（忽略冲突）\n \n Args:\n items: 主机端口映射 DTO 列表\n \n Returns:\n int: 实际创建的记录数\n \n Note:\n 使用数据库唯一约束 + ignore_conflicts 自动去重\n \"\"\"\n try:\n logger.debug(\"Service: 准备批量创建主机端口映射 - 数量: %d\", len(items))\n \n created_count = self.repo.bulk_create_ignore_conflicts(items)\n \n logger.info(\"Service: 主机端口映射创建成功 - 数量: %d\", created_count)\n \n return created_count\n \n except Exception as e:\n logger.error(\n \"Service: 批量创建主机端口映射失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n\n def iter_host_port_by_target(self, target_id: int, batch_size: int = 1000):\n return self.repo.get_for_export(target_id=target_id, batch_size=batch_size)\n\n def get_ip_aggregation_by_target(\n self, \n target_id: int, \n filter_query: Optional[str] = None\n ) -> List[Dict]:\n \"\"\"获取目标下的 IP 聚合数据\n \n Args:\n target_id: 目标 ID\n filter_query: 智能过滤语法字符串\n \n Returns:\n 聚合后的 IP 数据列表\n \"\"\"\n # 从 Repository 获取基础 QuerySet\n qs = self.repo.get_queryset_by_target(target_id)\n \n # Service 层应用过滤逻辑\n if filter_query:\n qs = apply_filters(qs, filter_query, self.FILTER_FIELD_MAPPING)\n \n # Service 层处理聚合逻辑\n return self._aggregate_by_ip(qs, filter_query, target_id=target_id)\n\n def get_all_ip_aggregation(self, filter_query: Optional[str] = None) -> List[Dict]:\n \"\"\"获取所有 IP 聚合数据（全局查询）\n \n Args:\n filter_query: 智能过滤语法字符串\n \n Returns:\n 聚合后的 IP 数据列表\n \"\"\"\n # 从 Repository 获取基础 QuerySet\n qs = self.repo.get_all_queryset()\n \n # Service 层应用过滤逻辑\n if filter_query:\n qs = apply_filters(qs, filter_query, self.FILTER_FIELD_MAPPING)\n \n # Service 层处理聚合逻辑\n return self._aggregate_by_ip(qs, filter_query)\n\n def _aggregate_by_ip(\n self, \n qs, \n filter_query: Optional[str] = None,\n target_id: Optional[int] = None\n ) -> List[Dict]:\n \"\"\"按 IP 聚合数据\n \n Args:\n qs: 已过滤的 QuerySet\n filter_query: 过滤条件（用于子查询）\n target_id: 目标 ID（用于子查询限定范围）\n \n Returns:\n 聚合后的数据列表\n \"\"\"\n ip_aggregated = (\n qs\n .values('ip')\n .annotate(created_at=Min('created_at'))\n .order_by('-created_at')\n )\n\n results = []\n for item in ip_aggregated:\n ip = item['ip']\n \n # 获取该 IP 的所有 host 和 port（也需要应用过滤条件）\n mappings_qs = self.repo.get_queryset_by_ip(ip, target_id=target_id)\n if filter_query:\n mappings_qs = apply_filters(mappings_qs, filter_query, self.FILTER_FIELD_MAPPING)\n \n mappings = mappings_qs.values('host', 'port').distinct()\n hosts = sorted({m['host'] for m in mappings})\n ports = sorted({m['port'] for m in mappings})\n \n results.append({\n 'ip': ip,\n 'hosts': hosts,\n 'ports': ports,\n 'created_at': item['created_at'],\n })\n \n return results\n\n def iter_ips_by_target(self, target_id: int, batch_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取目标下的所有唯一 IP 地址。\"\"\"\n return self.repo.get_ips_for_export(target_id=target_id, batch_size=batch_size)\n\n def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n \n Yields:\n 原始数据字典 {ip, host, port, created_at}\n \"\"\"\n return self.repo.iter_raw_data_for_export(target_id=target_id)\n" }, { "path": "backend/apps/asset/services/asset/subdomain_service.py", "content": "import logging\nfrom typing import List, Dict, Optional\nfrom dataclasses import dataclass\n\nfrom apps.asset.repositories import DjangoSubdomainRepository\nfrom apps.asset.dtos import SubdomainDTO\nfrom apps.common.validators import is_valid_domain\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass BulkCreateResult:\n \"\"\"批量创建结果\"\"\"\n created_count: int\n skipped_count: int\n invalid_count: int\n mismatched_count: int\n total_received: int\n\n\nclass SubdomainService:\n \"\"\"子域名业务逻辑层\"\"\"\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'name': 'name',\n }\n \n def __init__(self, repository=None):\n \"\"\"\n 初始化子域名服务\n \n Args:\n repository: 子域名仓储实例（用于依赖注入）\n \"\"\"\n self.repo = repository or DjangoSubdomainRepository()\n \n # ==================== 查询操作 ====================\n \n def get_all(self, filter_query: Optional[str] = None):\n \"\"\"\n 获取所有子域名\n \n Args:\n filter_query: 智能过滤语法字符串\n \n Returns:\n QuerySet: 子域名查询集\n \"\"\"\n logger.debug(\"获取所有子域名\")\n queryset = self.repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n \n def get_subdomains_by_target(self, target_id: int, filter_query: Optional[str] = None):\n \"\"\"\n 获取目标下的子域名\n \n Args:\n target_id: 目标 ID\n filter_query: 智能过滤语法字符串\n \n Returns:\n QuerySet: 子域名查询集\n \"\"\"\n queryset = self.repo.get_by_target(target_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def count_subdomains_by_target(self, target_id: int) -> int:\n \"\"\"\n 统计目标下的子域名数量\n \n Args:\n target_id: 目标 ID\n \n Returns:\n int: 子域名数量\n \"\"\"\n logger.debug(\"统计目标下子域名数量 - Target ID: %d\", target_id)\n return self.repo.count_by_target(target_id)\n \n def get_by_names_and_target_id(self, names: set, target_id: int) -> dict:\n \"\"\"\n 根据域名列表和目标ID批量查询子域名\n \n Args:\n names: 域名集合\n target_id: 目标 ID\n \n Returns:\n dict: {域名: Subdomain对象}\n \"\"\"\n logger.debug(\"批量查询子域名 - 数量: %d, Target ID: %d\", len(names), target_id)\n return self.repo.get_by_names_and_target_id(names, target_id)\n \n def get_subdomain_names_by_target(self, target_id: int) -> List[str]:\n \"\"\"\n 获取目标下的所有子域名名称\n \n Args:\n target_id: 目标 ID\n \n Returns:\n List[str]: 子域名名称列表\n \"\"\"\n logger.debug(\"获取目标下所有子域名 - Target ID: %d\", target_id)\n return list(self.repo.get_domains_for_export(target_id=target_id))\n \n def iter_subdomain_names_by_target(self, target_id: int, chunk_size: int = 1000):\n \"\"\"\n 流式获取目标下的所有子域名名称（内存优化）\n \n Args:\n target_id: 目标 ID\n chunk_size: 批次大小\n \n Yields:\n str: 子域名名称\n \"\"\"\n logger.debug(\"流式获取目标下所有子域名 - Target ID: %d, 批次大小: %d\", target_id, chunk_size)\n return self.repo.get_domains_for_export(target_id=target_id, batch_size=chunk_size)\n\n def iter_raw_data_for_csv_export(self, target_id: int):\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n \n Yields:\n 原始数据字典 {name, created_at}\n \"\"\"\n return self.repo.iter_raw_data_for_export(target_id=target_id)\n\n # ==================== 创建操作 ====================\n\n def bulk_create_ignore_conflicts(self, items: List[SubdomainDTO]) -> None:\n \"\"\"\n 批量创建子域名，忽略冲突\n \n Args:\n items: 子域名 DTO 列表\n \n Note:\n 使用 ignore_conflicts 策略，重复记录会被跳过\n \"\"\"\n logger.debug(\"批量创建子域名 - 数量: %d\", len(items))\n return self.repo.bulk_create_ignore_conflicts(items)\n\n def bulk_create_subdomains(\n self,\n target_id: int,\n target_name: str,\n subdomains: List[str]\n ) -> BulkCreateResult:\n \"\"\"\n 批量创建子域名（带验证）\n \n Args:\n target_id: 目标 ID\n target_name: 目标域名（用于匹配验证）\n subdomains: 子域名列表\n \n Returns:\n BulkCreateResult: 创建结果统计\n \"\"\"\n total_received = len(subdomains)\n target_name = target_name.lower().strip()\n \n def is_subdomain_match(subdomain: str) -> bool:\n \"\"\"验证子域名是否匹配目标域名\"\"\"\n if subdomain == target_name:\n return True\n if subdomain.endswith('.' + target_name):\n return True\n return False\n \n # 过滤有效的子域名\n valid_subdomains = []\n invalid_count = 0\n mismatched_count = 0\n \n for subdomain in subdomains:\n if not isinstance(subdomain, str) or not subdomain.strip():\n continue\n \n subdomain = subdomain.lower().strip()\n \n # 验证格式\n if not is_valid_domain(subdomain):\n invalid_count += 1\n continue\n \n # 验证匹配\n if not is_subdomain_match(subdomain):\n mismatched_count += 1\n continue\n \n valid_subdomains.append(subdomain)\n \n # 去重\n unique_subdomains = list(set(valid_subdomains))\n duplicate_count = len(valid_subdomains) - len(unique_subdomains)\n \n if not unique_subdomains:\n return BulkCreateResult(\n created_count=0,\n skipped_count=duplicate_count,\n invalid_count=invalid_count,\n mismatched_count=mismatched_count,\n total_received=total_received,\n )\n \n # 获取创建前的数量\n count_before = self.repo.count_by_target(target_id)\n \n # 创建 DTO 列表并批量创建\n subdomain_dtos = [\n SubdomainDTO(name=name, target_id=target_id)\n for name in unique_subdomains\n ]\n self.repo.bulk_create_ignore_conflicts(subdomain_dtos)\n \n # 获取创建后的数量\n count_after = self.repo.count_by_target(target_id)\n created_count = count_after - count_before\n \n # 计算因数据库冲突跳过的数量\n db_skipped = len(unique_subdomains) - created_count\n \n return BulkCreateResult(\n created_count=created_count,\n skipped_count=duplicate_count + db_skipped,\n invalid_count=invalid_count,\n mismatched_count=mismatched_count,\n total_received=total_received,\n )\n\n\n__all__ = ['SubdomainService', 'BulkCreateResult']\n" }, { "path": "backend/apps/asset/services/asset/vulnerability_service.py", "content": "\"\"\"Vulnerability Service - 漏洞资产业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Optional\n\nfrom apps.asset.models import Vulnerability\nfrom apps.asset.dtos.asset import VulnerabilityDTO\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass VulnerabilityService:\n \"\"\"漏洞资产服务\n\n 当前提供基础的批量创建能力，使用 ignore_conflicts 依赖数据库唯一约束去重。\n \"\"\"\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'type': 'vuln_type',\n 'severity': 'severity',\n 'source': 'source',\n 'url': 'url',\n }\n\n def bulk_create_ignore_conflicts(self, items: List[VulnerabilityDTO]) -> None:\n \"\"\"批量创建漏洞资产记录，忽略冲突。\n\n 注意：会自动按 (target_id, url, vuln_type, source) 去重，保留最后一条记录。\n\n Note:\n - 是否去重取决于模型上的唯一/部分唯一约束；\n - 当前 Vulnerability 模型未定义唯一约束，因此会保留全部记录。\n \"\"\"\n if not items:\n logger.debug(\"漏洞资产列表为空，跳过保存\")\n return\n\n try:\n # 根据模型唯一约束自动去重（如果模型没有唯一约束则跳过）\n unique_items = deduplicate_for_bulk(items, Vulnerability)\n \n vulns = [\n Vulnerability(\n target_id=item.target_id,\n url=item.url,\n vuln_type=item.vuln_type,\n severity=item.severity,\n source=item.source,\n cvss_score=item.cvss_score,\n description=item.description,\n raw_output=item.raw_output,\n )\n for item in unique_items\n ]\n\n Vulnerability.objects.bulk_create(vulns, ignore_conflicts=True)\n logger.info(\"漏洞资产保存成功 - 数量: %d\", len(vulns))\n\n except Exception as e:\n logger.error(\n \"批量保存漏洞资产失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True,\n )\n raise\n\n # ==================== 查询方法 ====================\n\n def get_all(self, filter_query: Optional[str] = None):\n \"\"\"获取所有漏洞 QuerySet（用于全局漏洞列表）。\n\n Args:\n filter_query: 智能过滤语法字符串\n\n Returns:\n QuerySet[Vulnerability]: 所有漏洞，按创建时间倒序\n \"\"\"\n queryset = Vulnerability.objects.all().order_by(\"-created_at\")\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def get_vulnerabilities_by_target(self, target_id: int, filter_query: Optional[str] = None):\n \"\"\"按目标获取漏洞 QuerySet（用于分页）。\n\n Args:\n target_id: 目标 ID\n filter_query: 智能过滤语法字符串\n\n Returns:\n QuerySet[Vulnerability]: 目标下的所有漏洞，按创建时间倒序\n \"\"\"\n queryset = Vulnerability.objects.filter(target_id=target_id).order_by(\"-created_at\")\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def count_by_target(self, target_id: int) -> int:\n \"\"\"统计目标下的漏洞数量。\"\"\"\n return Vulnerability.objects.filter(target_id=target_id).count()\n" }, { "path": "backend/apps/asset/services/asset/website_service.py", "content": "\"\"\"WebSite Service - 网站业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator, Optional\n\nfrom apps.asset.repositories import DjangoWebSiteRepository\nfrom apps.asset.dtos import WebSiteDTO\nfrom apps.common.validators import is_valid_url, is_url_match_target\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\nclass WebSiteService:\n \"\"\"网站业务逻辑层\"\"\"\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'url': 'url',\n 'host': 'host',\n 'title': 'title',\n 'status_code': 'status_code',\n 'tech': 'tech',\n }\n \n def __init__(self, repository=None):\n \"\"\"初始化网站服务\"\"\"\n self.repo = repository or DjangoWebSiteRepository()\n \n def bulk_upsert(self, website_dtos: List[WebSiteDTO]) -> int:\n \"\"\"\n 批量创建或更新网站（upsert）\n \n 存在则更新所有字段，不存在则创建。\n \n Args:\n website_dtos: WebSiteDTO 列表\n \n Returns:\n int: 处理的记录数\n \"\"\"\n if not website_dtos:\n return 0\n \n try:\n return self.repo.bulk_upsert(website_dtos)\n except Exception as e:\n logger.error(f\"批量 upsert 网站失败: {e}\")\n raise\n \n def bulk_create_urls(self, target_id: int, target_name: str, target_type: str, urls: List[str]) -> int:\n \"\"\"\n 批量创建网站（仅 URL，使用 ignore_conflicts）\n \n 验证 URL 格式和匹配，过滤无效/不匹配 URL，去重后批量创建。\n 已存在的记录会被跳过。\n \n Args:\n target_id: 目标 ID\n target_name: 目标名称（用于匹配验证）\n target_type: 目标类型 ('domain', 'ip', 'cidr')\n urls: URL 列表\n \n Returns:\n int: 实际创建的记录数\n \"\"\"\n if not urls:\n return 0\n \n # 过滤有效 URL 并去重\n valid_urls = []\n seen = set()\n \n for url in urls:\n if not isinstance(url, str):\n continue\n url = url.strip()\n if not url or url in seen:\n continue\n if not is_valid_url(url):\n continue\n \n # 匹配验证（前端已阻止不匹配的提交，后端作为双重保障）\n if not is_url_match_target(url, target_name, target_type):\n continue\n \n seen.add(url)\n valid_urls.append(url)\n \n if not valid_urls:\n return 0\n \n # 获取创建前的数量\n count_before = self.repo.count_by_target(target_id)\n \n # 创建 DTO 列表并批量创建\n website_dtos = [\n WebSiteDTO(url=url, target_id=target_id)\n for url in valid_urls\n ]\n self.repo.bulk_create_ignore_conflicts(website_dtos)\n \n # 获取创建后的数量\n count_after = self.repo.count_by_target(target_id)\n return count_after - count_before\n \n def get_websites_by_target(self, target_id: int, filter_query: Optional[str] = None):\n \"\"\"获取目标下的所有网站\"\"\"\n queryset = self.repo.get_by_target(target_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech'])\n return queryset\n \n def get_all(self, filter_query: Optional[str] = None):\n \"\"\"获取所有网站\"\"\"\n queryset = self.repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech'])\n return queryset\n \n def get_by_url(self, url: str, target_id: int) -> int:\n \"\"\"根据 URL 和 target_id 查找网站 ID\"\"\"\n return self.repo.get_by_url(url=url, target_id=target_id)\n \n def iter_website_urls_by_target(self, target_id: int, chunk_size: int = 1000):\n \"\"\"流式获取目标下的所有站点 URL\"\"\"\n return self.repo.get_urls_for_export(target_id=target_id, batch_size=chunk_size)\n\n def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n target_id: 目标 ID\n \n Yields:\n 原始数据字典\n \"\"\"\n return self.repo.iter_raw_data_for_export(target_id=target_id)\n\n\n__all__ = ['WebSiteService']\n" }, { "path": "backend/apps/asset/services/playwright_screenshot_service.py", "content": "\"\"\"\nPlaywright 截图服务\n\n使用 Playwright 异步批量捕获网站截图\n\"\"\"\nimport asyncio\nimport logging\nfrom typing import Optional, AsyncGenerator\n\nlogger = logging.getLogger(__name__)\n\n\nclass PlaywrightScreenshotService:\n \"\"\"Playwright 截图服务 - 异步多 Page 并发截图\"\"\"\n \n # 内置默认值（不暴露给用户）\n DEFAULT_VIEWPORT_WIDTH = 1920\n DEFAULT_VIEWPORT_HEIGHT = 1080\n DEFAULT_TIMEOUT = 30000 # 毫秒\n DEFAULT_JPEG_QUALITY = 85\n \n def __init__(\n self,\n viewport_width: int = DEFAULT_VIEWPORT_WIDTH,\n viewport_height: int = DEFAULT_VIEWPORT_HEIGHT,\n timeout: int = DEFAULT_TIMEOUT,\n concurrency: int = 5\n ):\n \"\"\"\n 初始化 Playwright 截图服务\n \n Args:\n viewport_width: 视口宽度（像素）\n viewport_height: 视口高度（像素）\n timeout: 页面加载超时时间（毫秒）\n concurrency: 并发截图数\n \"\"\"\n self.viewport_width = viewport_width\n self.viewport_height = viewport_height\n self.timeout = timeout\n self.concurrency = concurrency\n \n async def capture_screenshot(self, url: str, page) -> tuple[Optional[bytes], Optional[int]]:\n \"\"\"\n 捕获单个 URL 的截图\n \n Args:\n url: 目标 URL\n page: Playwright Page 对象\n \n Returns:\n (screenshot_bytes, status_code) 元组\n - screenshot_bytes: JPEG 格式的截图字节数据，失败返回 None\n - status_code: HTTP 响应状态码，失败返回 None\n \"\"\"\n status_code = None\n try:\n # 尝试加载页面，即使返回错误状态码也继续截图\n try:\n response = await page.goto(url, timeout=self.timeout, wait_until='networkidle')\n if response:\n status_code = response.status\n except Exception as goto_error:\n # 页面加载失败（4xx/5xx 或其他错误），但页面可能已部分渲染\n # 仍然尝试截图以捕获错误页面\n logger.debug(\"页面加载异常但尝试截图: %s, 错误: %s\", url, str(goto_error)[:50])\n \n # 尝试截图（即使 goto 失败）\n screenshot_bytes = await page.screenshot(\n type='jpeg',\n quality=self.DEFAULT_JPEG_QUALITY,\n full_page=False\n )\n return (screenshot_bytes, status_code)\n except asyncio.TimeoutError:\n logger.warning(\"截图超时: %s\", url)\n return (None, None)\n except Exception as e:\n logger.warning(\"截图失败: %s, 错误: %s\", url, str(e)[:100])\n return (None, None)\n \n async def _capture_with_semaphore(\n self,\n url: str,\n context,\n semaphore: asyncio.Semaphore\n ) -> tuple[str, Optional[bytes], Optional[int]]:\n \"\"\"\n 使用信号量控制并发的截图任务\n \n Args:\n url: 目标 URL\n context: Playwright BrowserContext\n semaphore: 并发控制信号量\n \n Returns:\n (url, screenshot_bytes, status_code) 元组\n \"\"\"\n async with semaphore:\n page = await context.new_page()\n try:\n screenshot_bytes, status_code = await self.capture_screenshot(url, page)\n return (url, screenshot_bytes, status_code)\n finally:\n await page.close()\n \n async def capture_batch(\n self,\n urls: list[str]\n ) -> AsyncGenerator[tuple[str, Optional[bytes], Optional[int]], None]:\n \"\"\"\n 批量捕获截图（异步生成器）\n \n 使用单个 BrowserContext + 多 Page 并发模式\n 通过 Semaphore 控制并发数\n \n Args:\n urls: URL 列表\n \n Yields:\n (url, screenshot_bytes, status_code) 元组\n \"\"\"\n if not urls:\n return\n \n from playwright.async_api import async_playwright\n \n async with async_playwright() as p:\n # 启动浏览器（headless 模式）\n browser = await p.chromium.launch(\n headless=True,\n args=[\n '--no-sandbox',\n '--disable-setuid-sandbox',\n '--disable-dev-shm-usage',\n '--disable-gpu'\n ]\n )\n \n try:\n # 创建单个 context\n context = await browser.new_context(\n viewport={\n 'width': self.viewport_width,\n 'height': self.viewport_height\n },\n ignore_https_errors=True,\n user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'\n )\n \n # 使用 Semaphore 控制并发\n semaphore = asyncio.Semaphore(self.concurrency)\n \n # 创建所有任务\n tasks = [\n self._capture_with_semaphore(url, context, semaphore)\n for url in urls\n ]\n \n # 使用 as_completed 实现流式返回\n for coro in asyncio.as_completed(tasks):\n result = await coro\n yield result\n \n await context.close()\n \n finally:\n await browser.close()\n \n async def capture_batch_collect(\n self,\n urls: list[str]\n ) -> list[tuple[str, Optional[bytes], Optional[int]]]:\n \"\"\"\n 批量捕获截图（收集所有结果）\n \n Args:\n urls: URL 列表\n \n Returns:\n [(url, screenshot_bytes, status_code), ...] 列表\n \"\"\"\n results = []\n async for result in self.capture_batch(urls):\n results.append(result)\n return results\n" }, { "path": "backend/apps/asset/services/screenshot_service.py", "content": "\"\"\"\n截图服务\n\n负责截图的压缩、保存和同步\n\"\"\"\nimport io\nimport logging\nimport os\nfrom typing import Optional\n\nfrom PIL import Image\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScreenshotService:\n \"\"\"截图服务 - 负责压缩、保存和同步\"\"\"\n \n def __init__(self, max_width: int = 800, target_kb: int = 100):\n \"\"\"\n 初始化截图服务\n \n Args:\n max_width: 最大宽度（像素）\n target_kb: 目标文件大小（KB）\n \"\"\"\n self.max_width = max_width\n self.target_kb = target_kb\n \n def compress_screenshot(self, image_path: str) -> Optional[bytes]:\n \"\"\"\n 压缩截图为 WebP 格式\n \n Args:\n image_path: PNG 截图文件路径\n \n Returns:\n 压缩后的 WebP 二进制数据，失败返回 None\n \"\"\"\n if not os.path.exists(image_path):\n logger.warning(f\"截图文件不存在: {image_path}\")\n return None\n \n try:\n with Image.open(image_path) as img:\n return self._compress_image(img)\n except Exception as e:\n logger.error(f\"压缩截图失败: {image_path}, 错误: {e}\")\n return None\n \n def compress_from_bytes(self, image_bytes: bytes) -> Optional[bytes]:\n \"\"\"\n 从字节数据压缩截图为 WebP 格式\n \n Args:\n image_bytes: JPEG/PNG 图片字节数据\n \n Returns:\n 压缩后的 WebP 二进制数据，失败返回 None\n \"\"\"\n if not image_bytes:\n return None\n \n try:\n img = Image.open(io.BytesIO(image_bytes))\n return self._compress_image(img)\n except Exception as e:\n logger.error(f\"从字节压缩截图失败: {e}\")\n return None\n \n def _compress_image(self, img: Image.Image) -> Optional[bytes]:\n \"\"\"\n 压缩 PIL Image 对象为 WebP 格式\n \n Args:\n img: PIL Image 对象\n \n Returns:\n 压缩后的 WebP 二进制数据\n \"\"\"\n try:\n if img.mode in ('RGBA', 'P'):\n img = img.convert('RGB')\n \n width, height = img.size\n if width > self.max_width:\n ratio = self.max_width / width\n new_size = (self.max_width, int(height * ratio))\n img = img.resize(new_size, Image.Resampling.LANCZOS)\n \n quality = 80\n while quality >= 10:\n buffer = io.BytesIO()\n img.save(buffer, format='WEBP', quality=quality, method=6)\n if len(buffer.getvalue()) <= self.target_kb * 1024:\n return buffer.getvalue()\n quality -= 10\n \n return buffer.getvalue()\n except Exception as e:\n logger.error(f\"压缩图片失败: {e}\")\n return None\n \n def save_screenshot_snapshot(\n self,\n scan_id: int,\n url: str,\n image_data: bytes,\n status_code: int | None = None\n ) -> bool:\n \"\"\"\n 保存截图快照到 ScreenshotSnapshot 表\n \n Args:\n scan_id: 扫描 ID\n url: 截图对应的 URL\n image_data: 压缩后的图片二进制数据\n status_code: HTTP 响应状态码\n \n Returns:\n 是否保存成功\n \"\"\"\n from apps.asset.models import ScreenshotSnapshot\n \n try:\n ScreenshotSnapshot.objects.update_or_create(\n scan_id=scan_id,\n url=url,\n defaults={'image': image_data, 'status_code': status_code}\n )\n return True\n except Exception as e:\n logger.error(f\"保存截图快照失败: scan_id={scan_id}, url={url}, 错误: {e}\")\n return False\n \n def sync_screenshots_to_asset(self, scan_id: int, target_id: int) -> int:\n \"\"\"\n 将扫描的截图快照同步到资产表\n \n Args:\n scan_id: 扫描 ID\n target_id: 目标 ID\n \n Returns:\n 同步的截图数量\n \"\"\"\n from apps.asset.models import Screenshot, ScreenshotSnapshot\n \n snapshots = ScreenshotSnapshot.objects.filter(scan_id=scan_id)\n count = 0\n \n for snapshot in snapshots:\n try:\n Screenshot.objects.update_or_create(\n target_id=target_id,\n url=snapshot.url,\n defaults={\n 'image': snapshot.image,\n 'status_code': snapshot.status_code\n }\n )\n count += 1\n except Exception as e:\n logger.error(f\"同步截图到资产表失败: url={snapshot.url}, 错误: {e}\")\n \n logger.info(f\"同步截图完成: scan_id={scan_id}, target_id={target_id}, 数量={count}\")\n return count\n \n def process_and_save_screenshot(self, scan_id: int, url: str, image_path: str) -> bool:\n \"\"\"\n 处理并保存截图（压缩 + 保存快照）\n \n Args:\n scan_id: 扫描 ID\n url: 截图对应的 URL\n image_path: PNG 截图文件路径\n \n Returns:\n 是否处理成功\n \"\"\"\n image_data = self.compress_screenshot(image_path)\n if image_data is None:\n return False\n \n return self.save_screenshot_snapshot(scan_id, url, image_data)\n" }, { "path": "backend/apps/asset/services/search_service.py", "content": "\"\"\"\n资产搜索服务\n\n提供资产搜索的核心业务逻辑：\n- 从物化视图查询数据\n- 支持表达式语法解析\n- 支持 =（模糊）、==（精确）、!=（不等于）操作符\n- 支持 && (AND) 和 || (OR) 逻辑组合\n- 支持 Website 和 Endpoint 两种资产类型\n\"\"\"\n\nimport logging\nimport re\nfrom typing import Optional, List, Dict, Any, Tuple, Literal, Iterator\n\nfrom django.db import connection\n\nlogger = logging.getLogger(__name__)\n\n# 支持的字段映射（前端字段名 -> 数据库字段名）\nFIELD_MAPPING = {\n 'host': 'host',\n 'url': 'url',\n 'title': 'title',\n 'tech': 'tech',\n 'status': 'status_code',\n 'body': 'response_body',\n 'header': 'response_headers',\n}\n\n# 数组类型字段\nARRAY_FIELDS = {'tech'}\n\n# 资产类型到视图名的映射\nVIEW_MAPPING = {\n 'website': 'asset_search_view',\n 'endpoint': 'endpoint_search_view',\n}\n\n# 资产类型到原表名的映射（用于 JOIN 获取数组字段）\n# ⚠️ 重要：pg_ivm 不支持 ArrayField，所有数组字段必须从原表 JOIN 获取\nTABLE_MAPPING = {\n 'website': 'website',\n 'endpoint': 'endpoint',\n}\n\n# 有效的资产类型\nVALID_ASSET_TYPES = {'website', 'endpoint'}\n\n# Website 查询字段（v=视图，t=原表）\n# ⚠️ 注意：t.tech 从原表获取，因为 pg_ivm 不支持 ArrayField\nWEBSITE_SELECT_FIELDS = \"\"\"\n v.id,\n v.url,\n v.host,\n v.title,\n t.tech, -- ArrayField，从 website 表 JOIN 获取\n v.status_code,\n v.response_headers,\n v.response_body,\n v.content_type,\n v.content_length,\n v.webserver,\n v.location,\n v.vhost,\n v.created_at,\n v.target_id\n\"\"\"\n\n# Endpoint 查询字段\n# ⚠️ 注意：t.tech 和 t.matched_gf_patterns 从原表获取，因为 pg_ivm 不支持 ArrayField\nENDPOINT_SELECT_FIELDS = \"\"\"\n v.id,\n v.url,\n v.host,\n v.title,\n t.tech, -- ArrayField，从 endpoint 表 JOIN 获取\n v.status_code,\n v.response_headers,\n v.response_body,\n v.content_type,\n v.content_length,\n v.webserver,\n v.location,\n v.vhost,\n t.matched_gf_patterns, -- ArrayField，从 endpoint 表 JOIN 获取\n v.created_at,\n v.target_id\n\"\"\"\n\n\nclass SearchQueryParser:\n \"\"\"\n 搜索查询解析器\n \n 支持语法：\n - field=\"value\" 模糊匹配（ILIKE %value%）\n - field==\"value\" 精确匹配\n - field!=\"value\" 不等于\n - && AND 连接\n - || OR 连接\n - () 分组（暂不支持嵌套）\n \n 示例：\n - host=\"api\" && tech=\"nginx\"\n - tech=\"vue\" || tech=\"react\"\n - status==\"200\" && host!=\"test\"\n \"\"\"\n \n # 匹配单个条件: field=\"value\" 或 field==\"value\" 或 field!=\"value\"\n CONDITION_PATTERN = re.compile(r'(\\w+)\\s*(==|!=|=)\\s*\"([^\"]*)\"')\n \n @classmethod\n def parse(cls, query: str) -> Tuple[str, List[Any]]:\n \"\"\"\n 解析查询字符串，返回 SQL WHERE 子句和参数\n \n Args:\n query: 搜索查询字符串\n \n Returns:\n (where_clause, params) 元组\n \"\"\"\n if not query or not query.strip():\n return \"1=1\", []\n \n query = query.strip()\n \n # 检查是否包含操作符语法，如果不包含则作为 host 模糊搜索\n if not cls.CONDITION_PATTERN.search(query):\n # 裸文本，默认作为 host 模糊搜索（v 是视图别名）\n return \"v.host ILIKE %s\", [f\"%{query}%\"]\n \n # 按 || 分割为 OR 组\n or_groups = cls._split_by_or(query)\n \n if len(or_groups) == 1:\n # 没有 OR，直接解析 AND 条件\n return cls._parse_and_group(or_groups[0])\n \n # 多个 OR 组\n or_clauses = []\n all_params = []\n \n for group in or_groups:\n clause, params = cls._parse_and_group(group)\n if clause and clause != \"1=1\":\n or_clauses.append(f\"({clause})\")\n all_params.extend(params)\n \n if not or_clauses:\n return \"1=1\", []\n \n return \" OR \".join(or_clauses), all_params\n \n @classmethod\n def _split_by_or(cls, query: str) -> List[str]:\n \"\"\"按 || 分割查询，但忽略引号内的 ||\"\"\"\n parts = []\n current = \"\"\n in_quotes = False\n i = 0\n \n while i < len(query):\n char = query[i]\n \n if char == '\"':\n in_quotes = not in_quotes\n current += char\n elif not in_quotes and i + 1 < len(query) and query[i:i+2] == '||':\n if current.strip():\n parts.append(current.strip())\n current = \"\"\n i += 1 # 跳过第二个 |\n else:\n current += char\n \n i += 1\n \n if current.strip():\n parts.append(current.strip())\n \n return parts if parts else [query]\n \n @classmethod\n def _parse_and_group(cls, group: str) -> Tuple[str, List[Any]]:\n \"\"\"解析 AND 组（用 && 连接的条件）\"\"\"\n # 移除外层括号\n group = group.strip()\n if group.startswith('(') and group.endswith(')'):\n group = group[1:-1].strip()\n \n # 按 && 分割\n parts = cls._split_by_and(group)\n \n and_clauses = []\n all_params = []\n \n for part in parts:\n clause, params = cls._parse_condition(part.strip())\n if clause:\n and_clauses.append(clause)\n all_params.extend(params)\n \n if not and_clauses:\n return \"1=1\", []\n \n return \" AND \".join(and_clauses), all_params\n \n @classmethod\n def _split_by_and(cls, query: str) -> List[str]:\n \"\"\"按 && 分割查询，但忽略引号内的 &&\"\"\"\n parts = []\n current = \"\"\n in_quotes = False\n i = 0\n \n while i < len(query):\n char = query[i]\n \n if char == '\"':\n in_quotes = not in_quotes\n current += char\n elif not in_quotes and i + 1 < len(query) and query[i:i+2] == '&&':\n if current.strip():\n parts.append(current.strip())\n current = \"\"\n i += 1 # 跳过第二个 &\n else:\n current += char\n \n i += 1\n \n if current.strip():\n parts.append(current.strip())\n \n return parts if parts else [query]\n \n @classmethod\n def _parse_condition(cls, condition: str) -> Tuple[Optional[str], List[Any]]:\n \"\"\"\n 解析单个条件\n \n Returns:\n (sql_clause, params) 或 (None, []) 如果解析失败\n \"\"\"\n # 移除括号\n condition = condition.strip()\n if condition.startswith('(') and condition.endswith(')'):\n condition = condition[1:-1].strip()\n \n match = cls.CONDITION_PATTERN.match(condition)\n if not match:\n logger.warning(f\"无法解析条件: {condition}\")\n return None, []\n \n field, operator, value = match.groups()\n field = field.lower()\n \n # 验证字段\n if field not in FIELD_MAPPING:\n logger.warning(f\"未知字段: {field}\")\n return None, []\n \n db_field = FIELD_MAPPING[field]\n is_array = field in ARRAY_FIELDS\n \n # 根据操作符生成 SQL\n if operator == '=':\n # 模糊匹配\n return cls._build_like_condition(db_field, value, is_array)\n elif operator == '==':\n # 精确匹配\n return cls._build_exact_condition(db_field, value, is_array)\n elif operator == '!=':\n # 不等于\n return cls._build_not_equal_condition(db_field, value, is_array)\n \n return None, []\n \n @classmethod\n def _build_like_condition(cls, field: str, value: str, is_array: bool) -> Tuple[str, List[Any]]:\n \"\"\"构建模糊匹配条件\"\"\"\n if is_array:\n # 数组字段：检查数组中是否有元素包含该值（从原表 t 获取）\n return f\"EXISTS (SELECT 1 FROM unnest(t.{field}) AS elem WHERE elem ILIKE %s)\", [f\"%{value}%\"]\n elif field == 'status_code':\n # 状态码是整数，模糊匹配转为精确匹配\n try:\n return f\"v.{field} = %s\", [int(value)]\n except ValueError:\n return f\"v.{field}::text ILIKE %s\", [f\"%{value}%\"]\n else:\n return f\"v.{field} ILIKE %s\", [f\"%{value}%\"]\n \n @classmethod\n def _build_exact_condition(cls, field: str, value: str, is_array: bool) -> Tuple[str, List[Any]]:\n \"\"\"构建精确匹配条件\"\"\"\n if is_array:\n # 数组字段：检查数组中是否包含该精确值（从原表 t 获取）\n return f\"%s = ANY(t.{field})\", [value]\n elif field == 'status_code':\n # 状态码是整数\n try:\n return f\"v.{field} = %s\", [int(value)]\n except ValueError:\n return f\"v.{field}::text = %s\", [value]\n else:\n return f\"v.{field} = %s\", [value]\n \n @classmethod\n def _build_not_equal_condition(cls, field: str, value: str, is_array: bool) -> Tuple[str, List[Any]]:\n \"\"\"构建不等于条件\"\"\"\n if is_array:\n # 数组字段：检查数组中不包含该值（从原表 t 获取）\n return f\"NOT (%s = ANY(t.{field}))\", [value]\n elif field == 'status_code':\n try:\n return f\"(v.{field} IS NULL OR v.{field} != %s)\", [int(value)]\n except ValueError:\n return f\"(v.{field} IS NULL OR v.{field}::text != %s)\", [value]\n else:\n return f\"(v.{field} IS NULL OR v.{field} != %s)\", [value]\n\n\nAssetType = Literal['website', 'endpoint']\n\n\nclass AssetSearchService:\n \"\"\"资产搜索服务\"\"\"\n \n def search(\n self, \n query: str, \n asset_type: AssetType = 'website',\n limit: Optional[int] = None\n ) -> List[Dict[str, Any]]:\n \"\"\"\n 搜索资产\n \n Args:\n query: 搜索查询字符串\n asset_type: 资产类型 ('website' 或 'endpoint')\n limit: 最大返回数量（可选）\n \n Returns:\n List[Dict]: 搜索结果列表\n \"\"\"\n where_clause, params = SearchQueryParser.parse(query)\n \n # 根据资产类型选择视图、原表和字段\n view_name = VIEW_MAPPING.get(asset_type, 'asset_search_view')\n table_name = TABLE_MAPPING.get(asset_type, 'website')\n select_fields = ENDPOINT_SELECT_FIELDS if asset_type == 'endpoint' else WEBSITE_SELECT_FIELDS\n \n # JOIN 原表获取数组字段（tech, matched_gf_patterns）\n sql = f\"\"\"\n SELECT {select_fields}\n FROM {view_name} v\n JOIN {table_name} t ON v.id = t.id\n WHERE {where_clause}\n ORDER BY v.created_at DESC\n \"\"\"\n \n # 添加 LIMIT\n if limit is not None and limit > 0:\n sql += f\" LIMIT {int(limit)}\"\n \n try:\n with connection.cursor() as cursor:\n cursor.execute(sql, params)\n columns = [col[0] for col in cursor.description]\n results = []\n \n for row in cursor.fetchall():\n result = dict(zip(columns, row))\n results.append(result)\n \n return results\n except Exception as e:\n logger.error(f\"搜索查询失败: {e}, SQL: {sql}, params: {params}\")\n raise\n \n def count(self, query: str, asset_type: AssetType = 'website', statement_timeout_ms: int = 300000) -> int:\n \"\"\"\n 统计搜索结果数量\n \n Args:\n query: 搜索查询字符串\n asset_type: 资产类型 ('website' 或 'endpoint')\n statement_timeout_ms: SQL 语句超时时间（毫秒），默认 5 分钟\n \n Returns:\n int: 结果总数\n \"\"\"\n where_clause, params = SearchQueryParser.parse(query)\n \n # 根据资产类型选择视图和原表\n view_name = VIEW_MAPPING.get(asset_type, 'asset_search_view')\n table_name = TABLE_MAPPING.get(asset_type, 'website')\n \n # JOIN 原表以支持数组字段查询\n sql = f\"SELECT COUNT(*) FROM {view_name} v JOIN {table_name} t ON v.id = t.id WHERE {where_clause}\"\n \n try:\n with connection.cursor() as cursor:\n # 为导出设置更长的超时时间（仅影响当前会话）\n cursor.execute(f\"SET LOCAL statement_timeout = {statement_timeout_ms}\")\n cursor.execute(sql, params)\n return cursor.fetchone()[0]\n except Exception as e:\n logger.error(f\"统计查询失败: {e}\")\n raise\n \n def search_iter(\n self, \n query: str, \n asset_type: AssetType = 'website',\n batch_size: int = 1000,\n statement_timeout_ms: int = 300000\n ) -> Iterator[Dict[str, Any]]:\n \"\"\"\n 流式搜索资产（使用分批查询，内存友好）\n \n Args:\n query: 搜索查询字符串\n asset_type: 资产类型 ('website' 或 'endpoint')\n batch_size: 每批获取的数量\n statement_timeout_ms: SQL 语句超时时间（毫秒），默认 5 分钟\n \n Yields:\n Dict: 单条搜索结果\n \"\"\"\n where_clause, params = SearchQueryParser.parse(query)\n \n # 根据资产类型选择视图、原表和字段\n view_name = VIEW_MAPPING.get(asset_type, 'asset_search_view')\n table_name = TABLE_MAPPING.get(asset_type, 'website')\n select_fields = ENDPOINT_SELECT_FIELDS if asset_type == 'endpoint' else WEBSITE_SELECT_FIELDS\n \n # 使用 OFFSET/LIMIT 分批查询（Django 不支持命名游标）\n offset = 0\n \n try:\n while True:\n # JOIN 原表获取数组字段\n sql = f\"\"\"\n SELECT {select_fields}\n FROM {view_name} v\n JOIN {table_name} t ON v.id = t.id\n WHERE {where_clause}\n ORDER BY v.created_at DESC\n LIMIT {batch_size} OFFSET {offset}\n \"\"\"\n \n with connection.cursor() as cursor:\n # 为导出设置更长的超时时间（仅影响当前会话）\n cursor.execute(f\"SET LOCAL statement_timeout = {statement_timeout_ms}\")\n cursor.execute(sql, params)\n columns = [col[0] for col in cursor.description]\n rows = cursor.fetchall()\n \n if not rows:\n break\n \n for row in rows:\n yield dict(zip(columns, row))\n \n # 如果返回的行数少于 batch_size，说明已经是最后一批\n if len(rows) < batch_size:\n break\n \n offset += batch_size\n \n except Exception as e:\n logger.error(f\"流式搜索查询失败: {e}, SQL: {sql}, params: {params}\")\n raise\n" }, { "path": "backend/apps/asset/services/snapshot/__init__.py", "content": "\"\"\"Snapshot Services - 快照服务\"\"\"\n\nfrom .subdomain_snapshots_service import SubdomainSnapshotsService\nfrom .host_port_mapping_snapshots_service import HostPortMappingSnapshotsService\nfrom .website_snapshots_service import WebsiteSnapshotsService\nfrom .directory_snapshots_service import DirectorySnapshotsService\nfrom .endpoint_snapshots_service import EndpointSnapshotsService\nfrom .vulnerability_snapshots_service import VulnerabilitySnapshotsService\n\n__all__ = [\n 'SubdomainSnapshotsService',\n 'HostPortMappingSnapshotsService',\n 'WebsiteSnapshotsService',\n 'DirectorySnapshotsService',\n 'EndpointSnapshotsService',\n 'VulnerabilitySnapshotsService',\n]\n" }, { "path": "backend/apps/asset/services/snapshot/directory_snapshots_service.py", "content": "\"\"\"Directory Snapshots Service - 业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.repositories.snapshot import DjangoDirectorySnapshotRepository\nfrom apps.asset.services.asset import DirectoryService\nfrom apps.asset.dtos.snapshot import DirectorySnapshotDTO\n\nlogger = logging.getLogger(__name__)\n\n\nclass DirectorySnapshotsService:\n \"\"\"目录快照服务 - 统一管理快照和资产同步\"\"\"\n \n def __init__(self):\n self.snapshot_repo = DjangoDirectorySnapshotRepository()\n self.asset_service = DirectoryService()\n \n def save_and_sync(self, items: List[DirectorySnapshotDTO]) -> None:\n \"\"\"\n 保存目录快照并同步到资产表（统一入口）\n \n 流程：\n 1. 保存到快照表（完整记录，包含 scan_id）\n 2. 同步到资产表（去重，不包含 scan_id）\n \n Args:\n items: 目录快照 DTO 列表（必须包含 target_id）\n \n Raises:\n Exception: 数据库操作失败\n \"\"\"\n if not items:\n return\n \n # 检查 Scan 是否仍存在（防止删除后竞态写入）\n scan_id = items[0].scan_id\n from apps.scan.repositories import DjangoScanRepository\n if not DjangoScanRepository().exists(scan_id):\n logger.warning(\"Scan 已删除，跳过目录快照保存 - scan_id=%s, 数量=%d\", scan_id, len(items))\n return\n \n try:\n logger.debug(\"保存目录快照并同步到资产表 - 数量: %d\", len(items))\n \n # 步骤 1: 保存到快照表\n logger.debug(\"步骤 1: 保存到快照表\")\n self.snapshot_repo.save_snapshots(items)\n \n # 步骤 2: 转换为资产 DTO 并保存到资产表（upsert）\n # - 新记录：插入资产表\n # - 已存在的记录：更新字段（created_at 不更新，保留创建时间）\n logger.debug(\"步骤 2: 同步到资产表（通过 Service 层，upsert）\")\n asset_items = [item.to_asset_dto() for item in items]\n \n self.asset_service.bulk_upsert(asset_items)\n \n logger.info(\"目录快照和资产数据保存成功 - 数量: %d\", len(items))\n \n except Exception as e:\n logger.error(\n \"保存目录快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'url': 'url',\n 'status': 'status',\n 'content_type': 'content_type',\n }\n \n def get_by_scan(self, scan_id: int, filter_query: str = None):\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_by_scan(scan_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def get_all(self, filter_query: str = None):\n \"\"\"获取所有目录快照\"\"\"\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def iter_directory_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取某次扫描下的所有目录 URL。\"\"\"\n queryset = self.snapshot_repo.get_by_scan(scan_id)\n for snapshot in queryset.iterator(chunk_size=chunk_size):\n yield snapshot.url\n\n def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n \n Yields:\n 原始数据字典\n \"\"\"\n return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id)\n" }, { "path": "backend/apps/asset/services/snapshot/endpoint_snapshots_service.py", "content": "\"\"\"Endpoint Snapshots Service - 业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.repositories.snapshot import DjangoEndpointSnapshotRepository\nfrom apps.asset.services.asset import EndpointService\nfrom apps.asset.dtos.snapshot import EndpointSnapshotDTO\n\nlogger = logging.getLogger(__name__)\n\n\nclass EndpointSnapshotsService:\n \"\"\"端点快照服务 - 统一管理快照和资产同步\"\"\"\n \n def __init__(self):\n self.snapshot_repo = DjangoEndpointSnapshotRepository()\n self.asset_service = EndpointService()\n \n def save_and_sync(self, items: List[EndpointSnapshotDTO]) -> None:\n \"\"\"\n 保存端点快照并同步到资产表（统一入口）\n \n 流程：\n 1. 保存到快照表（完整记录）\n 2. 同步到资产表（去重）\n \n Args:\n items: 端点快照 DTO 列表（必须包含 target_id）\n \n Raises:\n ValueError: 如果 items 中的 target_id 为 None\n Exception: 数据库操作失败\n \"\"\"\n if not items:\n return\n \n # 检查 Scan 是否仍存在（防止删除后竞态写入）\n scan_id = items[0].scan_id\n from apps.scan.repositories import DjangoScanRepository\n if not DjangoScanRepository().exists(scan_id):\n logger.warning(\"Scan 已删除，跳过端点快照保存 - scan_id=%s, 数量=%d\", scan_id, len(items))\n return\n \n try:\n logger.debug(\"保存端点快照并同步到资产表 - 数量: %d\", len(items))\n \n # 步骤 1: 保存到快照表\n logger.debug(\"步骤 1: 保存到快照表\")\n self.snapshot_repo.save_snapshots(items)\n \n # 步骤 2: 转换为资产 DTO 并保存到资产表\n # 使用 upsert：新记录插入，已存在的记录更新\n logger.debug(\"步骤 2: 同步到资产表（通过 Service 层）\")\n asset_items = [item.to_asset_dto() for item in items]\n \n self.asset_service.bulk_upsert(asset_items)\n \n logger.info(\"端点快照和资产数据保存成功 - 数量: %d\", len(items))\n \n except Exception as e:\n logger.error(\n \"保存端点快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'url': 'url',\n 'host': 'host',\n 'title': 'title',\n 'status_code': 'status_code',\n 'webserver': 'webserver',\n 'tech': 'tech',\n }\n \n def get_by_scan(self, scan_id: int, filter_query: str = None):\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_by_scan(scan_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def get_all(self, filter_query: str = None):\n \"\"\"获取所有端点快照\"\"\"\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def iter_endpoint_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取某次扫描下的所有端点 URL。\"\"\"\n queryset = self.snapshot_repo.get_by_scan(scan_id)\n for snapshot in queryset.iterator(chunk_size=chunk_size):\n yield snapshot.url\n\n def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n \n Yields:\n 原始数据字典\n \"\"\"\n return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id)\n" }, { "path": "backend/apps/asset/services/snapshot/host_port_mapping_snapshots_service.py", "content": "\"\"\"HostPortMapping Snapshots Service - 业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.repositories.snapshot import DjangoHostPortMappingSnapshotRepository\nfrom apps.asset.services.asset import HostPortMappingService\nfrom apps.asset.dtos.snapshot import HostPortMappingSnapshotDTO\n\nlogger = logging.getLogger(__name__)\n\n\nclass HostPortMappingSnapshotsService:\n \"\"\"HostPortMapping Snapshots Service - 统一管理快照和资产同步\"\"\"\n \n def __init__(self):\n self.snapshot_repo = DjangoHostPortMappingSnapshotRepository()\n self.asset_service = HostPortMappingService()\n \n def save_and_sync(self, items: List[HostPortMappingSnapshotDTO]) -> None:\n \"\"\"\n 保存主机端口关联快照并同步到资产表（统一入口）\n \n 流程：\n 1. 保存到快照表（完整记录，包含 scan_id）\n 2. 同步到资产表（去重，不包含 scan_id）\n \n Args:\n items: 主机端口关联快照 DTO 列表（必须包含 target_id）\n \n Note:\n target_id 已经包含在 DTO 中，无需额外传参。\n \"\"\"\n logger.debug(\"保存主机端口关联快照 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"快照数据为空，跳过保存\")\n return\n \n # 检查 Scan 是否仍存在（防止删除后竞态写入）\n scan_id = items[0].scan_id\n from apps.scan.repositories import DjangoScanRepository\n if not DjangoScanRepository().exists(scan_id):\n logger.warning(\"Scan 已删除，跳过主机端口快照保存 - scan_id=%s, 数量=%d\", scan_id, len(items))\n return\n \n try:\n # 步骤 1: 保存到快照表\n logger.debug(\"步骤 1: 保存到快照表\")\n self.snapshot_repo.save_snapshots(items)\n \n # 步骤 2: 转换为资产 DTO 并保存到资产表\n # 注意：去重是通过数据库的 UNIQUE 约束 + ignore_conflicts 实现的\n # - 新记录：插入资产表\n # - 已存在的记录：自动跳过\n logger.debug(\"步骤 2: 同步到资产表（通过 Service 层）\")\n asset_items = [item.to_asset_dto() for item in items]\n \n self.asset_service.bulk_create_ignore_conflicts(asset_items)\n \n logger.info(\"主机端口关联快照和资产数据保存成功 - 数量: %d\", len(items))\n \n except Exception as e:\n logger.error(\n \"保存主机端口关联快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n def get_ip_aggregation_by_scan(self, scan_id: int, filter_query: str = None):\n return self.snapshot_repo.get_ip_aggregation_by_scan(scan_id, filter_query=filter_query)\n\n def get_all_ip_aggregation(self, filter_query: str = None):\n \"\"\"获取所有 IP 聚合数据\"\"\"\n return self.snapshot_repo.get_all_ip_aggregation(filter_query=filter_query)\n\n def iter_ips_by_scan(self, scan_id: int, batch_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取某次扫描下的所有唯一 IP 地址。\"\"\"\n return self.snapshot_repo.get_ips_for_export(scan_id=scan_id, batch_size=batch_size)\n\n def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n \n Yields:\n 原始数据字典 {ip, host, port, created_at}\n \"\"\"\n return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id)\n" }, { "path": "backend/apps/asset/services/snapshot/subdomain_snapshots_service.py", "content": "import logging\nfrom typing import List, Iterator\n\nfrom apps.asset.dtos import SubdomainSnapshotDTO\nfrom apps.asset.repositories import DjangoSubdomainSnapshotRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass SubdomainSnapshotsService:\n \"\"\"子域名快照服务 - 负责子域名快照数据的业务逻辑\"\"\"\n \n def __init__(self):\n self.subdomain_snapshot_repo = DjangoSubdomainSnapshotRepository()\n \n def save_and_sync(self, items: List[SubdomainSnapshotDTO]) -> None:\n \"\"\"\n 保存子域名快照并同步到资产表（统一入口）\n \n 流程：\n 1. 保存到快照表（完整记录，包含 scan_id）\n 2. 同步到资产表（去重，不包含 scan_id）\n \n Args:\n items: 子域名快照 DTO 列表（包含 target_id）\n \n Note:\n target_id 已经包含在 DTO 中，无需额外传参。\n \"\"\"\n logger.debug(\"保存子域名快照 - 数量: %d\", len(items))\n \n if not items:\n logger.debug(\"快照数据为空，跳过保存\")\n return\n \n # 检查 Scan 是否仍存在（防止删除后竞态写入）\n scan_id = items[0].scan_id\n from apps.scan.repositories import DjangoScanRepository\n if not DjangoScanRepository().exists(scan_id):\n logger.warning(\"Scan 已删除，跳过快照保存 - scan_id=%s, 数量=%d\", scan_id, len(items))\n return\n \n try:\n # 步骤 1: 保存到快照表\n logger.debug(\"步骤 1: 保存到快照表\")\n self.subdomain_snapshot_repo.save_subdomain_snapshots(items)\n \n # 步骤 2: 转换为资产 DTO 并保存到资产表（通过数据库唯一约束自动去重）\n # 注意：去重是通过数据库的 UNIQUE 约束 + ignore_conflicts 实现的\n # - 新子域名：插入资产表\n # - 已存在的子域名：自动跳过（不更新，因为资产表只记录核心数据）\n asset_items = [item.to_asset_dto() for item in items]\n \n from apps.asset.services import SubdomainService\n subdomain_service = SubdomainService()\n subdomain_service.bulk_create_ignore_conflicts(asset_items)\n \n logger.info(\"子域名快照和业务数据保存成功 - 数量: %d\", len(items))\n \n except Exception as e:\n logger.error(\n \"保存子域名快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'name': 'name',\n }\n \n def get_by_scan(self, scan_id: int, filter_query: str = None):\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.subdomain_snapshot_repo.get_by_scan(scan_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def get_all(self, filter_query: str = None):\n \"\"\"获取所有子域名快照\"\"\"\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.subdomain_snapshot_repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def iter_subdomain_names_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]:\n queryset = self.subdomain_snapshot_repo.get_by_scan(scan_id)\n for snapshot in queryset.iterator(chunk_size=chunk_size):\n yield snapshot.name\n\n def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n \n Yields:\n 原始数据字典 {name, created_at}\n \"\"\"\n return self.subdomain_snapshot_repo.iter_raw_data_for_export(scan_id=scan_id)" }, { "path": "backend/apps/asset/services/snapshot/vulnerability_snapshots_service.py", "content": "\"\"\"Vulnerability Snapshots Service - 业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.repositories.snapshot import DjangoVulnerabilitySnapshotRepository\nfrom apps.asset.services.asset.vulnerability_service import VulnerabilityService\nfrom apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO\n\nlogger = logging.getLogger(__name__)\n\n\nclass VulnerabilitySnapshotsService:\n \"\"\"漏洞快照服务 - 统一管理快照和资产同步。\n\n 流程与 Website/Directory 等保持一致：\n 1. 保存到 VulnerabilitySnapshot 快照表（包含 scan_id）\n 2. 转为 VulnerabilityDTO 并同步到 Vulnerability 资产表（基于 target_id）\n \"\"\"\n\n def __init__(self):\n self.snapshot_repo = DjangoVulnerabilitySnapshotRepository()\n self.asset_service = VulnerabilityService()\n\n def save_and_sync(self, items: List[VulnerabilitySnapshotDTO]) -> None:\n \"\"\"保存漏洞快照并同步到漏洞资产表。\"\"\"\n if not items:\n return\n \n # 检查 Scan 是否仍存在（防止删除后竞态写入）\n scan_id = items[0].scan_id\n from apps.scan.repositories import DjangoScanRepository\n if not DjangoScanRepository().exists(scan_id):\n logger.warning(\"Scan 已删除，跳过漏洞快照保存 - scan_id=%s, 数量=%d\", scan_id, len(items))\n return\n \n try:\n logger.debug(\"保存漏洞快照并同步到资产表 - 数量: %d\", len(items))\n\n # 步骤 1: 保存到快照表\n logger.debug(\"步骤 1: 保存到漏洞快照表\")\n self.snapshot_repo.save_snapshots(items)\n\n # 步骤 2: 转换为资产 DTO 并保存到资产表\n logger.debug(\"步骤 2: 同步到漏洞资产表\")\n asset_items = [item.to_asset_dto() for item in items]\n self.asset_service.bulk_create_ignore_conflicts(asset_items)\n\n logger.info(\"漏洞快照和资产数据保存成功 - 数量: %d\", len(items))\n \n # 步骤 3: 发布漏洞保存信号（通知等模块可监听）\n from apps.common.signals import vulnerabilities_saved\n vulnerabilities_saved.send(\n sender=self.__class__,\n items=items,\n scan_id=scan_id,\n target_id=items[0].target_id if items else None\n )\n\n except Exception as e:\n logger.error(\n \"保存漏洞快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True,\n )\n raise\n\n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'type': 'vuln_type',\n 'url': 'url',\n 'severity': 'severity',\n 'source': 'source',\n }\n\n def get_by_scan(self, scan_id: int, filter_query: str = None):\n \"\"\"按扫描任务获取所有漏洞快照。\"\"\"\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_by_scan(scan_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def get_all(self, filter_query: str = None):\n \"\"\"获取所有漏洞快照\"\"\"\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def iter_vuln_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取某次扫描下的所有漏洞 URL。\"\"\"\n queryset = self.snapshot_repo.get_by_scan(scan_id)\n for snapshot in queryset.iterator(chunk_size=chunk_size):\n yield snapshot.url\n" }, { "path": "backend/apps/asset/services/snapshot/website_snapshots_service.py", "content": "\"\"\"Website Snapshots Service - 业务逻辑层\"\"\"\n\nimport logging\nfrom typing import List, Iterator\n\nfrom apps.asset.repositories.snapshot import DjangoWebsiteSnapshotRepository\nfrom apps.asset.services.asset import WebSiteService\nfrom apps.asset.dtos.snapshot import WebsiteSnapshotDTO\n\nlogger = logging.getLogger(__name__)\n\n\nclass WebsiteSnapshotsService:\n \"\"\"网站快照服务 - 统一管理快照和资产同步\"\"\"\n \n def __init__(self):\n self.snapshot_repo = DjangoWebsiteSnapshotRepository()\n self.asset_service = WebSiteService()\n \n def save_and_sync(self, items: List[WebsiteSnapshotDTO]) -> None:\n \"\"\"\n 保存网站快照并同步到资产表（统一入口）\n \n 流程：\n 1. 保存到快照表（完整记录，包含 scan_id）\n 2. 同步到资产表（去重，不包含 scan_id）\n \n Args:\n items: 网站快照 DTO 列表（必须包含 target_id）\n \n Raises:\n ValueError: 如果 items 中的 target_id 为 None\n Exception: 数据库操作失败\n \"\"\"\n if not items:\n return\n \n # 检查 Scan 是否仍存在（防止删除后竞态写入）\n scan_id = items[0].scan_id\n from apps.scan.repositories import DjangoScanRepository\n if not DjangoScanRepository().exists(scan_id):\n logger.warning(\"Scan 已删除，跳过网站快照保存 - scan_id=%s, 数量=%d\", scan_id, len(items))\n return\n \n try:\n logger.debug(\"保存网站快照并同步到资产表 - 数量: %d\", len(items))\n \n # 步骤 1: 保存到快照表\n logger.debug(\"步骤 1: 保存到快照表\")\n self.snapshot_repo.save_snapshots(items)\n \n # 步骤 2: 转换为资产 DTO 并保存到资产表（upsert）\n # - 新记录：插入资产表\n # - 已存在的记录：更新字段（created_at 不更新，保留创建时间）\n logger.debug(\"步骤 2: 同步到资产表（通过 Service 层，upsert）\")\n asset_items = [item.to_asset_dto() for item in items]\n \n self.asset_service.bulk_upsert(asset_items)\n \n logger.info(\"网站快照和资产数据保存成功 - 数量: %d\", len(items))\n \n except Exception as e:\n logger.error(\n \"保存网站快照失败 - 数量: %d, 错误: %s\",\n len(items),\n str(e),\n exc_info=True\n )\n raise\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'url': 'url',\n 'host': 'host',\n 'title': 'title',\n 'status_code': 'status_code',\n 'webserver': 'webserver',\n 'tech': 'tech',\n }\n \n def get_by_scan(self, scan_id: int, filter_query: str = None):\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_by_scan(scan_id)\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def get_all(self, filter_query: str = None):\n \"\"\"获取所有网站快照\"\"\"\n from apps.common.utils.filter_utils import apply_filters\n \n queryset = self.snapshot_repo.get_all()\n if filter_query:\n queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING)\n return queryset\n\n def iter_website_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]:\n \"\"\"流式获取某次扫描下的所有站点 URL（按创建时间倒序）。\"\"\"\n queryset = self.snapshot_repo.get_by_scan(scan_id)\n for snapshot in queryset.iterator(chunk_size=chunk_size):\n yield snapshot.url\n\n def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]:\n \"\"\"\n 流式获取原始数据用于 CSV 导出\n \n Args:\n scan_id: 扫描 ID\n \n Yields:\n 原始数据字典\n \"\"\"\n return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id)\n" }, { "path": "backend/apps/asset/services/statistics_service.py", "content": "\"\"\"资产统计 Service\"\"\"\nimport logging\nfrom typing import Optional\n\nfrom django.db.models import Count\n\nfrom apps.asset.repositories import AssetStatisticsRepository\nfrom apps.asset.models import (\n AssetStatistics,\n StatisticsHistory,\n Subdomain,\n WebSite,\n Endpoint,\n HostPortMapping,\n Vulnerability,\n)\nfrom apps.targets.models import Target\nfrom apps.scan.models import Scan\n\nlogger = logging.getLogger(__name__)\n\n\nclass AssetStatisticsService:\n \"\"\"\n 资产统计服务\n \n 职责：\n - 获取统计数据\n - 刷新统计数据（供定时任务调用）\n \"\"\"\n\n def __init__(self):\n self.repo = AssetStatisticsRepository()\n\n def get_statistics(self) -> dict:\n \"\"\"\n 获取统计数据\n \n Returns:\n 统计数据字典\n \"\"\"\n stats = self.repo.get_statistics()\n \n if stats is None:\n # 如果没有统计数据，返回默认值\n return {\n 'total_targets': 0,\n 'total_subdomains': 0,\n 'total_ips': 0,\n 'total_endpoints': 0,\n 'total_websites': 0,\n 'total_vulns': 0,\n 'total_assets': 0,\n 'running_scans': Scan.objects.filter(status='running').count(),\n 'updated_at': None,\n # 变化值\n 'change_targets': 0,\n 'change_subdomains': 0,\n 'change_ips': 0,\n 'change_endpoints': 0,\n 'change_websites': 0,\n 'change_vulns': 0,\n 'change_assets': 0,\n 'vuln_by_severity': self._get_vuln_by_severity(),\n }\n \n # 运行中的扫描数量实时查询（数量小，无需缓存）\n running_scans = Scan.objects.filter(status='running').count()\n \n return {\n 'total_targets': stats.total_targets,\n 'total_subdomains': stats.total_subdomains,\n 'total_ips': stats.total_ips,\n 'total_endpoints': stats.total_endpoints,\n 'total_websites': stats.total_websites,\n 'total_vulns': stats.total_vulns,\n 'total_assets': stats.total_assets,\n 'running_scans': running_scans,\n 'updated_at': stats.updated_at,\n # 变化值 = 当前值 - 上次值\n 'change_targets': stats.total_targets - stats.prev_targets,\n 'change_subdomains': stats.total_subdomains - stats.prev_subdomains,\n 'change_ips': stats.total_ips - stats.prev_ips,\n 'change_endpoints': stats.total_endpoints - stats.prev_endpoints,\n 'change_websites': stats.total_websites - stats.prev_websites,\n 'change_vulns': stats.total_vulns - stats.prev_vulns,\n 'change_assets': stats.total_assets - stats.prev_assets,\n # 漏洞严重程度分布\n 'vuln_by_severity': self._get_vuln_by_severity(),\n }\n \n def _get_vuln_by_severity(self) -> dict:\n \"\"\"获取按严重程度统计的漏洞数量\"\"\"\n result = Vulnerability.objects.values('severity').annotate(count=Count('id'))\n severity_map = {item['severity']: item['count'] for item in result}\n return {\n 'critical': severity_map.get('critical', 0),\n 'high': severity_map.get('high', 0),\n 'medium': severity_map.get('medium', 0),\n 'low': severity_map.get('low', 0),\n 'info': severity_map.get('info', 0),\n }\n\n def refresh_statistics(self) -> AssetStatistics:\n \"\"\"\n 刷新统计数据（执行实际 COUNT 查询）\n \n 供定时任务调用，不建议在接口中直接调用。\n \n Returns:\n 更新后的统计数据对象\n \"\"\"\n logger.info(\"开始刷新资产统计...\")\n \n # 执行 COUNT 查询\n total_targets = Target.objects.filter(deleted_at__isnull=True).count()\n total_subdomains = Subdomain.objects.count()\n total_ips = HostPortMapping.objects.values('ip').distinct().count()\n total_endpoints = Endpoint.objects.count()\n total_websites = WebSite.objects.count()\n total_vulns = Vulnerability.objects.count()\n \n # 更新统计表\n stats = self.repo.update_statistics(\n total_targets=total_targets,\n total_subdomains=total_subdomains,\n total_ips=total_ips,\n total_endpoints=total_endpoints,\n total_websites=total_websites,\n total_vulns=total_vulns,\n )\n \n # 保存每日快照（用于折线图）\n self.repo.save_daily_snapshot(stats)\n \n logger.info(\"资产统计刷新完成\")\n return stats\n\n def get_statistics_history(self, days: int = 7) -> list[dict]:\n \"\"\"\n 获取历史统计数据（用于折线图）\n \n Args:\n days: 获取最近多少天的数据，默认 7 天\n \n Returns:\n 历史数据列表，每项包含 date 和各统计字段\n \"\"\"\n history = self.repo.get_history(days=days)\n return [\n {\n 'date': h.date.isoformat(),\n 'totalTargets': h.total_targets,\n 'totalSubdomains': h.total_subdomains,\n 'totalIps': h.total_ips,\n 'totalEndpoints': h.total_endpoints,\n 'totalWebsites': h.total_websites,\n 'totalVulns': h.total_vulns,\n 'totalAssets': h.total_assets,\n }\n for h in history\n ]\n" }, { "path": "backend/apps/asset/urls.py", "content": "\"\"\"\nAsset 应用 URL 配置\n\"\"\"\n\nfrom django.urls import path, include\nfrom rest_framework.routers import DefaultRouter\nfrom .views import (\n SubdomainViewSet,\n WebSiteViewSet,\n DirectoryViewSet,\n VulnerabilityViewSet,\n AssetStatisticsViewSet,\n AssetSearchView,\n AssetSearchExportView,\n EndpointViewSet,\n HostPortMappingViewSet,\n ScreenshotViewSet,\n)\n\n# 创建 DRF 路由器\nrouter = DefaultRouter()\n\n# 注册 ViewSet\nrouter.register(r'subdomains', SubdomainViewSet, basename='subdomain')\nrouter.register(r'websites', WebSiteViewSet, basename='website')\nrouter.register(r'directories', DirectoryViewSet, basename='directory')\nrouter.register(r'endpoints', EndpointViewSet, basename='endpoint')\nrouter.register(r'ip-addresses', HostPortMappingViewSet, basename='ip-address')\nrouter.register(r'vulnerabilities', VulnerabilityViewSet, basename='vulnerability')\nrouter.register(r'screenshots', ScreenshotViewSet, basename='screenshot')\nrouter.register(r'statistics', AssetStatisticsViewSet, basename='asset-statistics')\n\nurlpatterns = [\n path('assets/', include(router.urls)),\n path('assets/search/', AssetSearchView.as_view(), name='asset-search'),\n path('assets/search/export/', AssetSearchExportView.as_view(), name='asset-search-export'),\n]\n" }, { "path": "backend/apps/asset/views/__init__.py", "content": "\"\"\"\nAsset 应用视图模块\n\n重新导出所有视图类以保持向后兼容\n\"\"\"\n\nfrom .asset_views import (\n AssetStatisticsViewSet,\n SubdomainViewSet,\n WebSiteViewSet,\n DirectoryViewSet,\n EndpointViewSet,\n HostPortMappingViewSet,\n VulnerabilityViewSet,\n SubdomainSnapshotViewSet,\n WebsiteSnapshotViewSet,\n DirectorySnapshotViewSet,\n EndpointSnapshotViewSet,\n HostPortMappingSnapshotViewSet,\n VulnerabilitySnapshotViewSet,\n ScreenshotViewSet,\n ScreenshotSnapshotViewSet,\n)\nfrom .search_views import AssetSearchView, AssetSearchExportView\n\n__all__ = [\n 'AssetStatisticsViewSet',\n 'SubdomainViewSet',\n 'WebSiteViewSet',\n 'DirectoryViewSet',\n 'EndpointViewSet',\n 'HostPortMappingViewSet',\n 'VulnerabilityViewSet',\n 'SubdomainSnapshotViewSet',\n 'WebsiteSnapshotViewSet',\n 'DirectorySnapshotViewSet',\n 'EndpointSnapshotViewSet',\n 'HostPortMappingSnapshotViewSet',\n 'VulnerabilitySnapshotViewSet',\n 'ScreenshotViewSet',\n 'ScreenshotSnapshotViewSet',\n 'AssetSearchView',\n 'AssetSearchExportView',\n]\n" }, { "path": "backend/apps/asset/views/asset_views.py", "content": "import logging\nfrom rest_framework import viewsets, status, filters\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom rest_framework.request import Request\nfrom rest_framework.exceptions import NotFound, ValidationError as DRFValidationError\nfrom django.core.exceptions import ValidationError, ObjectDoesNotExist\nfrom django.db import DatabaseError, IntegrityError, OperationalError\n\nfrom ..serializers import (\n SubdomainListSerializer, WebSiteSerializer, DirectorySerializer, \n VulnerabilitySerializer, EndpointListSerializer, IPAddressAggregatedSerializer,\n SubdomainSnapshotSerializer, WebsiteSnapshotSerializer, DirectorySnapshotSerializer,\n EndpointSnapshotSerializer, VulnerabilitySnapshotSerializer\n)\nfrom ..services import (\n SubdomainService, WebSiteService, DirectoryService, \n VulnerabilityService, AssetStatisticsService, EndpointService, HostPortMappingService\n)\nfrom ..services.snapshot import (\n SubdomainSnapshotsService, WebsiteSnapshotsService, DirectorySnapshotsService,\n EndpointSnapshotsService, HostPortMappingSnapshotsService, VulnerabilitySnapshotsService\n)\nfrom apps.common.pagination import BasePagination\n\nlogger = logging.getLogger(__name__)\n\n\nclass AssetStatisticsViewSet(viewsets.ViewSet):\n \"\"\"\n 资产统计 API\n \n 提供仪表盘所需的统计数据（预聚合，读取缓存表）\n \"\"\"\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = AssetStatisticsService()\n \n def list(self, request):\n \"\"\"\n 获取资产统计数据\n \n GET /assets/statistics/\n \n 返回:\n - totalTargets: 目标总数\n - totalSubdomains: 子域名总数\n - totalIps: IP 总数\n - totalEndpoints: 端点总数\n - totalWebsites: 网站总数\n - totalVulns: 漏洞总数\n - totalAssets: 总资产数\n - runningScans: 运行中的扫描数\n - updatedAt: 统计更新时间\n \"\"\"\n try:\n stats = self.service.get_statistics()\n return success_response(data={\n 'totalTargets': stats['total_targets'],\n 'totalSubdomains': stats['total_subdomains'],\n 'totalIps': stats['total_ips'],\n 'totalEndpoints': stats['total_endpoints'],\n 'totalWebsites': stats['total_websites'],\n 'totalVulns': stats['total_vulns'],\n 'totalAssets': stats['total_assets'],\n 'runningScans': stats['running_scans'],\n 'updatedAt': stats['updated_at'],\n # 变化值\n 'changeTargets': stats['change_targets'],\n 'changeSubdomains': stats['change_subdomains'],\n 'changeIps': stats['change_ips'],\n 'changeEndpoints': stats['change_endpoints'],\n 'changeWebsites': stats['change_websites'],\n 'changeVulns': stats['change_vulns'],\n 'changeAssets': stats['change_assets'],\n # 漏洞严重程度分布\n 'vulnBySeverity': stats['vuln_by_severity'],\n })\n except (DatabaseError, OperationalError) as e:\n logger.exception(\"获取资产统计数据失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to get statistics',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n @action(detail=False, methods=['get'], url_path='history')\n def history(self, request: Request):\n \"\"\"\n 获取统计历史数据（用于折线图）\n \n GET /assets/statistics/history/?days=7\n \n Query Parameters:\n days: 获取最近多少天的数据，默认 7，最大 90\n \n Returns:\n 历史数据列表\n \"\"\"\n try:\n days_param = request.query_params.get('days', '7')\n try:\n days = int(days_param)\n except (ValueError, TypeError):\n days = 7\n days = min(max(days, 1), 90) # 限制在 1-90 天\n \n history = self.service.get_statistics_history(days=days)\n return success_response(data=history)\n except (DatabaseError, OperationalError) as e:\n logger.exception(\"获取统计历史数据失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to get history data',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\n# 注意：IPAddress 模型已被重构为 HostPortMapping\n# IPAddressViewSet 已删除，需要根据新架构重新实现\n\n\nclass SubdomainViewSet(viewsets.ModelViewSet):\n \"\"\"子域名管理 ViewSet\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/subdomains/\n 2. 独立路由：GET /api/subdomains/（全局查询）\n \n 支持智能过滤语法（filter 参数）：\n - name=\"api\" 子域名模糊匹配\n - name==\"api.example.com\" 精确匹配\n - 多条件空格分隔 AND 关系\n \"\"\"\n \n serializer_class = SubdomainListSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = SubdomainService()\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围，支持智能过滤\"\"\"\n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if target_pk:\n return self.service.get_subdomains_by_target(target_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['post'], url_path='bulk-create')\n def bulk_create(self, request, **kwargs):\n \"\"\"批量创建子域名\n \n POST /api/targets/{target_pk}/subdomains/bulk-create/\n \n 请求体:\n {\n \"subdomains\": [\"sub1.example.com\", \"sub2.example.com\"]\n }\n \n 响应:\n {\n \"data\": {\n \"createdCount\": 10,\n \"skippedCount\": 2,\n \"invalidCount\": 1,\n \"mismatchedCount\": 1,\n \"totalReceived\": 14\n }\n }\n \"\"\"\n from apps.targets.models import Target\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Must create subdomains under a target',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取目标\n try:\n target = Target.objects.get(pk=target_pk)\n except Target.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Target not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n # 验证目标类型必须为域名\n if target.type != Target.TargetType.DOMAIN:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Only domain type targets support subdomain import',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取请求体中的子域名列表\n subdomains = request.data.get('subdomains', [])\n if not subdomains or not isinstance(subdomains, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Request body cannot be empty or invalid format',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 调用 service 层处理\n try:\n result = self.service.bulk_create_subdomains(\n target_id=int(target_pk),\n target_name=target.name,\n subdomains=subdomains\n )\n except Exception as e:\n logger.exception(\"批量创建子域名失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Server internal error',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n return success_response(data={\n 'createdCount': result.created_count,\n 'skippedCount': result.skipped_count,\n 'invalidCount': result.invalid_count,\n 'mismatchedCount': result.mismatched_count,\n 'totalReceived': result.total_received,\n })\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出子域名为 CSV 格式\n \n CSV 列：name, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n raise DRFValidationError('必须在目标下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk)\n \n headers = ['name', 'created_at']\n formatters = {'created_at': format_datetime}\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"target-{target_pk}-subdomains.csv\",\n field_formatters=formatters\n )\n\n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request, **kwargs):\n \"\"\"批量删除子域名\n \n POST /api/assets/subdomains/bulk-delete/\n \n 请求体: {\"ids\": [1, 2, 3]}\n 响应: {\"deletedCount\": 3}\n \"\"\"\n ids = request.data.get('ids', [])\n if not ids or not isinstance(ids, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ids is required and must be a list',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n from ..models import Subdomain\n deleted_count, _ = Subdomain.objects.filter(id__in=ids).delete()\n return success_response(data={'deletedCount': deleted_count})\n except Exception as e:\n logger.exception(\"批量删除子域名失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete subdomains',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\nclass WebSiteViewSet(viewsets.ModelViewSet):\n \"\"\"站点管理 ViewSet\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/websites/\n 2. 独立路由：GET /api/websites/（全局查询）\n \n 支持智能过滤语法（filter 参数）：\n - url=\"api\" URL 模糊匹配\n - host=\"example\" 主机名模糊匹配\n - title=\"login\" 标题模糊匹配\n - status=\"200,301\" 状态码多值匹配\n - tech=\"nginx\" 技术栈匹配（数组字段）\n - 多条件空格分隔 AND 关系\n \"\"\"\n \n serializer_class = WebSiteSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = WebSiteService()\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围，支持智能过滤\"\"\"\n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if target_pk:\n return self.service.get_websites_by_target(target_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['post'], url_path='bulk-create')\n def bulk_create(self, request, **kwargs):\n \"\"\"批量创建网站\n \n POST /api/targets/{target_pk}/websites/bulk-create/\n \n 请求体:\n {\n \"urls\": [\"https://example.com\", \"https://test.com\"]\n }\n \n 响应:\n {\n \"data\": {\n \"createdCount\": 10\n }\n }\n \"\"\"\n from apps.targets.models import Target\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Must create websites under a target',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取目标\n try:\n target = Target.objects.get(pk=target_pk)\n except Target.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Target not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n # 获取请求体中的 URL 列表\n urls = request.data.get('urls', [])\n if not urls or not isinstance(urls, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Request body cannot be empty or invalid format',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 调用 service 层处理\n try:\n created_count = self.service.bulk_create_urls(\n target_id=int(target_pk),\n target_name=target.name,\n target_type=target.type,\n urls=urls\n )\n except Exception as e:\n logger.exception(\"批量创建网站失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Server internal error',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n return success_response(data={\n 'createdCount': created_count,\n })\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出网站为 CSV 格式\n \n CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime, format_list_field\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n raise DRFValidationError('必须在目标下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk)\n \n headers = [\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'created_at'\n ]\n formatters = {\n 'created_at': format_datetime,\n 'tech': lambda x: format_list_field(x, separator=','),\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"target-{target_pk}-websites.csv\",\n field_formatters=formatters\n )\n\n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request, **kwargs):\n \"\"\"批量删除网站\n \n POST /api/assets/websites/bulk-delete/\n \n 请求体: {\"ids\": [1, 2, 3]}\n 响应: {\"deletedCount\": 3}\n \"\"\"\n ids = request.data.get('ids', [])\n if not ids or not isinstance(ids, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ids is required and must be a list',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n from ..models import WebSite\n deleted_count, _ = WebSite.objects.filter(id__in=ids).delete()\n return success_response(data={'deletedCount': deleted_count})\n except Exception as e:\n logger.exception(\"批量删除网站失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete websites',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\nclass DirectoryViewSet(viewsets.ModelViewSet):\n \"\"\"目录管理 ViewSet\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/directories/\n 2. 独立路由：GET /api/directories/（全局查询）\n \n 支持智能过滤语法（filter 参数）：\n - url=\"admin\" URL 模糊匹配\n - status=\"200,301\" 状态码多值匹配\n - 多条件空格分隔 AND 关系\n \"\"\"\n \n serializer_class = DirectorySerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = DirectoryService()\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围，支持智能过滤\"\"\"\n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if target_pk:\n return self.service.get_directories_by_target(target_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['post'], url_path='bulk-create')\n def bulk_create(self, request, **kwargs):\n \"\"\"批量创建目录\n \n POST /api/targets/{target_pk}/directories/bulk-create/\n \n 请求体:\n {\n \"urls\": [\"https://example.com/admin\", \"https://example.com/api\"]\n }\n \n 响应:\n {\n \"data\": {\n \"createdCount\": 10\n }\n }\n \"\"\"\n from apps.targets.models import Target\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Must create directories under a target',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取目标\n try:\n target = Target.objects.get(pk=target_pk)\n except Target.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Target not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n # 获取请求体中的 URL 列表\n urls = request.data.get('urls', [])\n if not urls or not isinstance(urls, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Request body cannot be empty or invalid format',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 调用 service 层处理\n try:\n created_count = self.service.bulk_create_urls(\n target_id=int(target_pk),\n target_name=target.name,\n target_type=target.type,\n urls=urls\n )\n except Exception as e:\n logger.exception(\"批量创建目录失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Server internal error',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n return success_response(data={\n 'createdCount': created_count,\n })\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出目录为 CSV 格式\n \n CSV 列：url, status, content_length, words, lines, content_type, duration, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n raise DRFValidationError('必须在目标下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk)\n \n headers = [\n 'url', 'status', 'content_length', 'words',\n 'lines', 'content_type', 'duration', 'created_at'\n ]\n formatters = {\n 'created_at': format_datetime,\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"target-{target_pk}-directories.csv\",\n field_formatters=formatters\n )\n\n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request, **kwargs):\n \"\"\"批量删除目录\n \n POST /api/assets/directories/bulk-delete/\n \n 请求体: {\"ids\": [1, 2, 3]}\n 响应: {\"deletedCount\": 3}\n \"\"\"\n ids = request.data.get('ids', [])\n if not ids or not isinstance(ids, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ids is required and must be a list',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n from ..models import Directory\n deleted_count, _ = Directory.objects.filter(id__in=ids).delete()\n return success_response(data={'deletedCount': deleted_count})\n except Exception as e:\n logger.exception(\"批量删除目录失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete directories',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\nclass EndpointViewSet(viewsets.ModelViewSet):\n \"\"\"端点管理 ViewSet\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/endpoints/\n 2. 独立路由：GET /api/endpoints/（全局查询）\n \n 支持智能过滤语法（filter 参数）：\n - url=\"api\" URL 模糊匹配\n - host=\"example\" 主机名模糊匹配\n - title=\"login\" 标题模糊匹配\n - status=\"200,301\" 状态码多值匹配\n - tech=\"nginx\" 技术栈匹配（数组字段）\n - 多条件空格分隔 AND 关系\n \"\"\"\n \n serializer_class = EndpointListSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = EndpointService()\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围，支持智能过滤\"\"\"\n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if target_pk:\n return self.service.get_endpoints_by_target(target_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['post'], url_path='bulk-create')\n def bulk_create(self, request, **kwargs):\n \"\"\"批量创建端点\n \n POST /api/targets/{target_pk}/endpoints/bulk-create/\n \n 请求体:\n {\n \"urls\": [\"https://example.com/api/v1\", \"https://example.com/api/v2\"]\n }\n \n 响应:\n {\n \"data\": {\n \"createdCount\": 10\n }\n }\n \"\"\"\n from apps.targets.models import Target\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Must create endpoints under a target',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取目标\n try:\n target = Target.objects.get(pk=target_pk)\n except Target.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Target not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n # 获取请求体中的 URL 列表\n urls = request.data.get('urls', [])\n if not urls or not isinstance(urls, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Request body cannot be empty or invalid format',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 调用 service 层处理\n try:\n created_count = self.service.bulk_create_urls(\n target_id=int(target_pk),\n target_name=target.name,\n target_type=target.type,\n urls=urls\n )\n except Exception as e:\n logger.exception(\"批量创建端点失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Server internal error',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n return success_response(data={\n 'createdCount': created_count,\n })\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出端点为 CSV 格式\n \n CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, matched_gf_patterns, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime, format_list_field\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n raise DRFValidationError('必须在目标下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk)\n \n headers = [\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at'\n ]\n formatters = {\n 'created_at': format_datetime,\n 'tech': lambda x: format_list_field(x, separator=','),\n 'matched_gf_patterns': lambda x: format_list_field(x, separator=','),\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"target-{target_pk}-endpoints.csv\",\n field_formatters=formatters\n )\n\n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request, **kwargs):\n \"\"\"批量删除端点\n \n POST /api/assets/endpoints/bulk-delete/\n \n 请求体: {\"ids\": [1, 2, 3]}\n 响应: {\"deletedCount\": 3}\n \"\"\"\n ids = request.data.get('ids', [])\n if not ids or not isinstance(ids, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ids is required and must be a list',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n from ..models import Endpoint\n deleted_count, _ = Endpoint.objects.filter(id__in=ids).delete()\n return success_response(data={'deletedCount': deleted_count})\n except Exception as e:\n logger.exception(\"批量删除端点失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete endpoints',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\nclass HostPortMappingViewSet(viewsets.ModelViewSet):\n \"\"\"主机端口映射管理 ViewSet（IP 地址聚合视图）\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/ip-addresses/\n 2. 独立路由：GET /api/ip-addresses/（全局查询）\n \n 返回按 IP 聚合的数据，每个 IP 显示其关联的所有 hosts 和 ports\n \n 支持智能过滤语法（filter 参数）：\n - ip=\"192.168\" IP 模糊匹配\n - port=\"80,443\" 端口多值匹配\n - host=\"api\" 主机名模糊匹配\n - 多条件空格分隔 AND 关系\n \n 注意：由于返回的是聚合数据（字典列表），不支持 DRF SearchFilter\n \"\"\"\n \n serializer_class = IPAddressAggregatedSerializer\n pagination_class = BasePagination\n \n # 智能过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'ip': 'ip',\n 'port': 'port',\n 'host': 'host',\n }\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = HostPortMappingService()\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围，返回按 IP 聚合的数据\n \n 支持智能过滤语法（filter 参数）\n \"\"\"\n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if target_pk:\n return self.service.get_ip_aggregation_by_target(target_pk, filter_query=filter_query)\n return self.service.get_all_ip_aggregation(filter_query=filter_query)\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出 IP 地址为 CSV 格式\n \n CSV 列：ip, host, port, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime\n \n target_pk = self.kwargs.get('target_pk')\n if not target_pk:\n raise DRFValidationError('必须在目标下导出')\n \n # 获取流式数据迭代器\n data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk)\n \n # CSV 表头和格式化器\n headers = ['ip', 'host', 'port', 'created_at']\n formatters = {\n 'created_at': format_datetime\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"target-{target_pk}-ip-addresses.csv\",\n field_formatters=formatters\n )\n\n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request, **kwargs):\n \"\"\"批量删除 IP 地址映射\n \n POST /api/assets/ip-addresses/bulk-delete/\n \n 请求体: {\"ips\": [\"192.168.1.1\", \"10.0.0.1\"]}\n 响应: {\"deletedCount\": 3}\n \n 注意：由于 IP 地址是聚合显示的，删除时传入 IP 列表，\n 会删除该 IP 下的所有 host:port 映射记录\n \"\"\"\n ips = request.data.get('ips', [])\n if not ips or not isinstance(ips, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ips is required and must be a list',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n from ..models import HostPortMapping\n deleted_count, _ = HostPortMapping.objects.filter(ip__in=ips).delete()\n return success_response(data={'deletedCount': deleted_count})\n except Exception as e:\n logger.exception(\"批量删除 IP 地址映射失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete ip addresses',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\nclass VulnerabilityViewSet(viewsets.ModelViewSet):\n \"\"\"漏洞资产管理 ViewSet（只读）\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/vulnerabilities/\n 2. 独立路由：GET /api/vulnerabilities/（全局查询）\n \n 支持智能过滤语法（filter 参数）：\n - type=\"xss\" 漏洞类型模糊匹配\n - severity=\"high\" 严重程度匹配\n - source=\"nuclei\" 来源工具匹配\n - url=\"api\" URL 模糊匹配\n - 多条件空格分隔 AND 关系\n \"\"\"\n \n serializer_class = VulnerabilitySerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = VulnerabilityService()\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围，支持智能过滤\"\"\"\n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if target_pk:\n return self.service.get_vulnerabilities_by_target(target_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n\n# ==================== 快照 ViewSet（Scan 嵌套路由） ====================\n\nclass SubdomainSnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"子域名快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/subdomains/\n \n 支持智能过滤语法（filter 参数）：\n - name=\"api\" 子域名模糊匹配\n - name==\"api.example.com\" 精确匹配\n - name!=\"test\" 排除匹配\n \"\"\"\n \n serializer_class = SubdomainSnapshotSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering_fields = ['name', 'created_at']\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = SubdomainSnapshotsService()\n \n def get_queryset(self):\n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if scan_pk:\n return self.service.get_by_scan(scan_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出子域名快照为 CSV 格式\n \n CSV 列：name, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime\n \n scan_pk = self.kwargs.get('scan_pk')\n if not scan_pk:\n raise DRFValidationError('必须在扫描下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk)\n \n headers = ['name', 'created_at']\n formatters = {'created_at': format_datetime}\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"scan-{scan_pk}-subdomains.csv\",\n field_formatters=formatters\n )\n\n\nclass WebsiteSnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"网站快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/websites/\n \n 支持智能过滤语法（filter 参数）：\n - url=\"api\" URL 模糊匹配\n - host=\"example\" 主机名模糊匹配\n - title=\"login\" 标题模糊匹配\n - status=\"200\" 状态码匹配\n - webserver=\"nginx\" 服务器类型匹配\n - tech=\"php\" 技术栈匹配\n \"\"\"\n \n serializer_class = WebsiteSnapshotSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = WebsiteSnapshotsService()\n \n def get_queryset(self):\n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if scan_pk:\n return self.service.get_by_scan(scan_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出网站快照为 CSV 格式\n \n CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime, format_list_field\n \n scan_pk = self.kwargs.get('scan_pk')\n if not scan_pk:\n raise DRFValidationError('必须在扫描下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk)\n \n headers = [\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'created_at'\n ]\n formatters = {\n 'created_at': format_datetime,\n 'tech': lambda x: format_list_field(x, separator=','),\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"scan-{scan_pk}-websites.csv\",\n field_formatters=formatters\n )\n\n\nclass DirectorySnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"目录快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/directories/\n \n 支持智能过滤语法（filter 参数）：\n - url=\"admin\" URL 模糊匹配\n - status=\"200\" 状态码匹配\n - content_type=\"html\" 内容类型匹配\n \"\"\"\n \n serializer_class = DirectorySnapshotSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = DirectorySnapshotsService()\n \n def get_queryset(self):\n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if scan_pk:\n return self.service.get_by_scan(scan_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出目录快照为 CSV 格式\n \n CSV 列：url, status, content_length, words, lines, content_type, duration, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime\n \n scan_pk = self.kwargs.get('scan_pk')\n if not scan_pk:\n raise DRFValidationError('必须在扫描下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk)\n \n headers = [\n 'url', 'status', 'content_length', 'words',\n 'lines', 'content_type', 'duration', 'created_at'\n ]\n formatters = {\n 'created_at': format_datetime,\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"scan-{scan_pk}-directories.csv\",\n field_formatters=formatters\n )\n\n\nclass EndpointSnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"端点快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/endpoints/\n \n 支持智能过滤语法（filter 参数）：\n - url=\"api\" URL 模糊匹配\n - host=\"example\" 主机名模糊匹配\n - title=\"login\" 标题模糊匹配\n - status=\"200\" 状态码匹配\n - webserver=\"nginx\" 服务器类型匹配\n - tech=\"php\" 技术栈匹配\n \"\"\"\n \n serializer_class = EndpointSnapshotSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = EndpointSnapshotsService()\n \n def get_queryset(self):\n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if scan_pk:\n return self.service.get_by_scan(scan_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出端点快照为 CSV 格式\n \n CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, matched_gf_patterns, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime, format_list_field\n \n scan_pk = self.kwargs.get('scan_pk')\n if not scan_pk:\n raise DRFValidationError('必须在扫描下导出')\n \n data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk)\n \n headers = [\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at'\n ]\n formatters = {\n 'created_at': format_datetime,\n 'tech': lambda x: format_list_field(x, separator=','),\n 'matched_gf_patterns': lambda x: format_list_field(x, separator=','),\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"scan-{scan_pk}-endpoints.csv\",\n field_formatters=formatters\n )\n\n\nclass HostPortMappingSnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"主机端口映射快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/ip-addresses/\n \n 支持智能过滤语法（filter 参数）：\n - ip=\"192.168\" IP 模糊匹配\n - port=\"80\" 端口匹配\n - host=\"api\" 主机名模糊匹配\n \n 注意：由于返回的是聚合数据（字典列表），过滤在 Service 层处理\n \"\"\"\n \n serializer_class = IPAddressAggregatedSerializer\n pagination_class = BasePagination\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = HostPortMappingSnapshotsService()\n \n def get_queryset(self):\n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if scan_pk:\n return self.service.get_ip_aggregation_by_scan(scan_pk, filter_query=filter_query)\n return self.service.get_all_ip_aggregation(filter_query=filter_query)\n\n @action(detail=False, methods=['get'], url_path='export')\n def export(self, request, **kwargs):\n \"\"\"导出 IP 地址为 CSV 格式\n \n CSV 列：ip, host, port, created_at\n \"\"\"\n from apps.common.utils import create_csv_export_response, format_datetime\n \n scan_pk = self.kwargs.get('scan_pk')\n if not scan_pk:\n raise DRFValidationError('必须在扫描下导出')\n \n # 获取流式数据迭代器\n data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk)\n \n # CSV 表头和格式化器\n headers = ['ip', 'host', 'port', 'created_at']\n formatters = {\n 'created_at': format_datetime\n }\n \n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=f\"scan-{scan_pk}-ip-addresses.csv\",\n field_formatters=formatters\n )\n\n\nclass VulnerabilitySnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"漏洞快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/vulnerabilities/\n \n 支持智能过滤语法（filter 参数）：\n - type=\"xss\" 漏洞类型模糊匹配\n - url=\"api\" URL 模糊匹配\n - severity=\"high\" 严重程度匹配\n - source=\"nuclei\" 来源工具匹配\n \"\"\"\n \n serializer_class = VulnerabilitySnapshotSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = VulnerabilitySnapshotsService()\n \n def get_queryset(self):\n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n if scan_pk:\n return self.service.get_by_scan(scan_pk, filter_query=filter_query)\n return self.service.get_all(filter_query=filter_query)\n\n\n# ==================== 截图 ViewSet ====================\n\nclass ScreenshotViewSet(viewsets.ModelViewSet):\n \"\"\"截图资产 ViewSet\n \n 支持两种访问方式：\n 1. 嵌套路由：GET /api/targets/{target_pk}/screenshots/\n 2. 独立路由：GET /api/screenshots/（全局查询）\n \n 支持智能过滤语法（filter 参数）：\n - url=\"example\" URL 模糊匹配\n \"\"\"\n \n from ..serializers import ScreenshotListSerializer\n \n serializer_class = ScreenshotListSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def get_queryset(self):\n \"\"\"根据是否有 target_pk 参数决定查询范围\"\"\"\n from ..models import Screenshot\n \n target_pk = self.kwargs.get('target_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n queryset = Screenshot.objects.all()\n if target_pk:\n queryset = queryset.filter(target_id=target_pk)\n \n if filter_query:\n # 简单的 URL 模糊匹配\n queryset = queryset.filter(url__icontains=filter_query)\n \n return queryset.order_by('-created_at')\n \n @action(detail=True, methods=['get'], url_path='image')\n def image(self, request, pk=None, **kwargs):\n \"\"\"获取截图图片\n \n GET /api/assets/screenshots/{id}/image/\n \n 返回 WebP 格式的图片二进制数据\n \"\"\"\n from django.http import HttpResponse\n from ..models import Screenshot\n \n try:\n screenshot = Screenshot.objects.get(pk=pk)\n if not screenshot.image:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Screenshot image not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n response = HttpResponse(screenshot.image, content_type='image/webp')\n response['Content-Disposition'] = f'inline; filename=\"screenshot_{pk}.webp\"'\n return response\n except Screenshot.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Screenshot not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request, **kwargs):\n \"\"\"批量删除截图\n \n POST /api/assets/screenshots/bulk-delete/\n \n 请求体: {\"ids\": [1, 2, 3]}\n 响应: {\"deletedCount\": 3}\n \"\"\"\n ids = request.data.get('ids', [])\n if not ids or not isinstance(ids, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ids is required and must be a list',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n from ..models import Screenshot\n deleted_count, _ = Screenshot.objects.filter(id__in=ids).delete()\n return success_response(data={'deletedCount': deleted_count})\n except Exception as e:\n logger.exception(\"批量删除截图失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete screenshots',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\nclass ScreenshotSnapshotViewSet(viewsets.ModelViewSet):\n \"\"\"截图快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/screenshots/\n \n 支持智能过滤语法（filter 参数）：\n - url=\"example\" URL 模糊匹配\n \"\"\"\n \n from ..serializers import ScreenshotSnapshotListSerializer\n \n serializer_class = ScreenshotSnapshotListSerializer\n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n def get_queryset(self):\n \"\"\"根据 scan_pk 参数查询\"\"\"\n from ..models import ScreenshotSnapshot\n \n scan_pk = self.kwargs.get('scan_pk')\n filter_query = self.request.query_params.get('filter', None)\n \n queryset = ScreenshotSnapshot.objects.all()\n if scan_pk:\n queryset = queryset.filter(scan_id=scan_pk)\n \n if filter_query:\n # 简单的 URL 模糊匹配\n queryset = queryset.filter(url__icontains=filter_query)\n \n return queryset.order_by('-created_at')\n \n @action(detail=True, methods=['get'], url_path='image')\n def image(self, request, pk=None, **kwargs):\n \"\"\"获取截图快照图片\n \n GET /api/scans/{scan_pk}/screenshots/{id}/image/\n \n 返回 WebP 格式的图片二进制数据\n \"\"\"\n from django.http import HttpResponse\n from ..models import ScreenshotSnapshot\n \n try:\n screenshot = ScreenshotSnapshot.objects.get(pk=pk)\n if not screenshot.image:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Screenshot image not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n response = HttpResponse(screenshot.image, content_type='image/webp')\n response['Content-Disposition'] = f'inline; filename=\"screenshot_snapshot_{pk}.webp\"'\n return response\n except ScreenshotSnapshot.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Screenshot snapshot not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n" }, { "path": "backend/apps/asset/views/search_views.py", "content": "\"\"\"\n资产搜索 API 视图\n\n提供资产搜索的 REST API 接口：\n- GET /api/assets/search/ - 搜索资产\n- GET /api/assets/search/export/ - 导出搜索结果为 CSV\n\n搜索语法：\n- field=\"value\" 模糊匹配（ILIKE %value%）\n- field==\"value\" 精确匹配\n- field!=\"value\" 不等于\n- && AND 连接\n- || OR 连接\n\n支持的字段：\n- host: 主机名\n- url: URL\n- title: 标题\n- tech: 技术栈\n- status: 状态码\n- body: 响应体\n- header: 响应头\n\n支持的资产类型：\n- website: 站点（默认）\n- endpoint: 端点\n\"\"\"\n\nimport logging\nimport json\nfrom datetime import datetime\nfrom urllib.parse import urlparse, urlunparse\nfrom rest_framework import status\nfrom rest_framework.views import APIView\nfrom rest_framework.request import Request\nfrom django.db import connection\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.asset.services.search_service import AssetSearchService, VALID_ASSET_TYPES\n\nlogger = logging.getLogger(__name__)\n\n\nclass AssetSearchView(APIView):\n \"\"\"\n 资产搜索 API\n \n GET /api/assets/search/\n \n Query Parameters:\n q: 搜索查询表达式\n asset_type: 资产类型 ('website' 或 'endpoint'，默认 'website')\n page: 页码（从 1 开始，默认 1）\n pageSize: 每页数量（默认 10，最大 100）\n \n 示例查询：\n ?q=host=\"api\" && tech=\"nginx\"\n ?q=tech=\"vue\" || tech=\"react\"&asset_type=endpoint\n ?q=status==\"200\" && host!=\"test\"\n \n Response:\n {\n \"results\": [...],\n \"total\": 100,\n \"page\": 1,\n \"pageSize\": 10,\n \"totalPages\": 10,\n \"assetType\": \"website\"\n }\n \"\"\"\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = AssetSearchService()\n \n def _parse_headers(self, headers_data) -> dict:\n \"\"\"解析响应头为字典\"\"\"\n if not headers_data:\n return {}\n try:\n return json.loads(headers_data)\n except (json.JSONDecodeError, TypeError):\n result = {}\n for line in str(headers_data).split('\\n'):\n if ':' in line:\n key, value = line.split(':', 1)\n result[key.strip()] = value.strip()\n return result\n \n def _format_result(self, result: dict, vulnerabilities_by_url: dict, asset_type: str) -> dict:\n \"\"\"格式化单个搜索结果\"\"\"\n url = result.get('url', '')\n vulns = vulnerabilities_by_url.get(url, [])\n \n # 基础字段（Website 和 Endpoint 共有）\n formatted = {\n 'id': result.get('id'),\n 'url': url,\n 'host': result.get('host', ''),\n 'title': result.get('title', ''),\n 'technologies': result.get('tech', []) or [],\n 'statusCode': result.get('status_code'),\n 'contentLength': result.get('content_length'),\n 'contentType': result.get('content_type', ''),\n 'webserver': result.get('webserver', ''),\n 'location': result.get('location', ''),\n 'vhost': result.get('vhost'),\n 'responseHeaders': self._parse_headers(result.get('response_headers')),\n 'responseBody': result.get('response_body', ''),\n 'createdAt': result.get('created_at').isoformat() if result.get('created_at') else None,\n 'targetId': result.get('target_id'),\n }\n \n # Website 特有字段：漏洞关联\n if asset_type == 'website':\n formatted['vulnerabilities'] = [\n {\n 'id': v.get('id'),\n 'name': v.get('vuln_type', ''),\n 'vulnType': v.get('vuln_type', ''),\n 'severity': v.get('severity', 'info'),\n }\n for v in vulns\n ]\n \n # Endpoint 特有字段\n if asset_type == 'endpoint':\n formatted['matchedGfPatterns'] = result.get('matched_gf_patterns', []) or []\n \n return formatted\n \n def _get_vulnerabilities_by_url_prefix(self, website_urls: list) -> dict:\n \"\"\"\n 根据 URL 前缀批量查询漏洞数据\n \n 漏洞 URL 是 website URL 的子路径，使用前缀匹配：\n - website.url: https://example.com/path?query=1\n - vulnerability.url: https://example.com/path/api/users\n \n Args:\n website_urls: website URL 列表，格式为 [(url, target_id), ...]\n \n Returns:\n dict: {website_url: [vulnerability_list]}\n \"\"\"\n if not website_urls:\n return {}\n \n try:\n with connection.cursor() as cursor:\n # 构建 OR 条件：每个 website URL（去掉查询参数）作为前缀匹配\n conditions = []\n params = []\n url_mapping = {} # base_url -> original_url\n \n for url, target_id in website_urls:\n if not url or target_id is None:\n continue\n # 使用 urlparse 去掉查询参数和片段，只保留 scheme://netloc/path\n parsed = urlparse(url)\n base_url = urlunparse((parsed.scheme, parsed.netloc, parsed.path, '', '', ''))\n url_mapping[base_url] = url\n conditions.append(\"(v.url LIKE %s AND v.target_id = %s)\")\n params.extend([base_url + '%', target_id])\n \n if not conditions:\n return {}\n \n where_clause = \" OR \".join(conditions)\n \n sql = f\"\"\"\n SELECT v.id, v.vuln_type, v.severity, v.url, v.target_id\n FROM vulnerability v\n WHERE {where_clause}\n ORDER BY \n CASE v.severity \n WHEN 'critical' THEN 1 \n WHEN 'high' THEN 2 \n WHEN 'medium' THEN 3 \n WHEN 'low' THEN 4 \n ELSE 5 \n END\n \"\"\"\n cursor.execute(sql, params)\n \n # 获取所有漏洞\n all_vulns = []\n for row in cursor.fetchall():\n all_vulns.append({\n 'id': row[0],\n 'vuln_type': row[1],\n 'name': row[1],\n 'severity': row[2],\n 'url': row[3],\n 'target_id': row[4],\n })\n \n # 按原始 website URL 分组（用于返回结果）\n result = {url: [] for url, _ in website_urls}\n for vuln in all_vulns:\n vuln_url = vuln['url']\n # 找到匹配的 website URL（最长前缀匹配）\n for website_url, target_id in website_urls:\n parsed = urlparse(website_url)\n base_url = urlunparse((parsed.scheme, parsed.netloc, parsed.path, '', '', ''))\n if vuln_url.startswith(base_url) and vuln['target_id'] == target_id:\n result[website_url].append(vuln)\n break\n \n return result\n except Exception as e:\n logger.error(f\"批量查询漏洞失败: {e}\")\n return {}\n \n def get(self, request: Request):\n \"\"\"搜索资产\"\"\"\n # 获取搜索查询\n query = request.query_params.get('q', '').strip()\n \n if not query:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Search query (q) is required',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取并验证资产类型\n asset_type = request.query_params.get('asset_type', 'website').strip().lower()\n if asset_type not in VALID_ASSET_TYPES:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=f'Invalid asset_type. Must be one of: {\", \".join(VALID_ASSET_TYPES)}',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取分页参数\n try:\n page = int(request.query_params.get('page', 1))\n page_size = int(request.query_params.get('pageSize', 10))\n except (ValueError, TypeError):\n page = 1\n page_size = 10\n \n # 限制分页参数\n page = max(1, page)\n page_size = min(max(1, page_size), 100)\n \n # 获取总数和搜索结果\n total = self.service.count(query, asset_type)\n total_pages = (total + page_size - 1) // page_size if total > 0 else 1\n offset = (page - 1) * page_size\n \n all_results = self.service.search(query, asset_type)\n results = all_results[offset:offset + page_size]\n \n # 批量查询漏洞数据（仅 Website 类型需要）\n vulnerabilities_by_url = {}\n if asset_type == 'website':\n website_urls = [(r.get('url'), r.get('target_id')) for r in results if r.get('url') and r.get('target_id')]\n vulnerabilities_by_url = self._get_vulnerabilities_by_url_prefix(website_urls) if website_urls else {}\n \n # 格式化结果\n formatted_results = [self._format_result(r, vulnerabilities_by_url, asset_type) for r in results]\n \n return success_response(data={\n 'results': formatted_results,\n 'total': total,\n 'page': page,\n 'pageSize': page_size,\n 'totalPages': total_pages,\n 'assetType': asset_type,\n })\n\n\nclass AssetSearchExportView(APIView):\n \"\"\"\n 资产搜索导出 API\n \n GET /api/assets/search/export/\n \n Query Parameters:\n q: 搜索查询表达式\n asset_type: 资产类型 ('website' 或 'endpoint'，默认 'website')\n \n Response:\n CSV 文件（带 Content-Length，支持浏览器显示下载进度）\n \"\"\"\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = AssetSearchService()\n \n def _get_headers_and_formatters(self, asset_type: str):\n \"\"\"获取 CSV 表头和格式化器\"\"\"\n from apps.common.utils import format_datetime, format_list_field\n \n if asset_type == 'website':\n headers = ['url', 'host', 'title', 'status_code', 'content_type', 'content_length', \n 'webserver', 'location', 'tech', 'vhost', 'created_at']\n else:\n headers = ['url', 'host', 'title', 'status_code', 'content_type', 'content_length',\n 'webserver', 'location', 'tech', 'matched_gf_patterns', 'vhost', 'created_at']\n \n formatters = {\n 'created_at': format_datetime,\n 'tech': lambda x: format_list_field(x, separator='; '),\n 'matched_gf_patterns': lambda x: format_list_field(x, separator='; '),\n 'vhost': lambda x: 'true' if x else ('false' if x is False else ''),\n }\n \n return headers, formatters\n \n def get(self, request: Request):\n \"\"\"导出搜索结果为 CSV（带 Content-Length，支持下载进度显示）\"\"\"\n from apps.common.utils import create_csv_export_response\n \n # 获取搜索查询\n query = request.query_params.get('q', '').strip()\n \n if not query:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Search query (q) is required',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 获取并验证资产类型\n asset_type = request.query_params.get('asset_type', 'website').strip().lower()\n if asset_type not in VALID_ASSET_TYPES:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=f'Invalid asset_type. Must be one of: {\", \".join(VALID_ASSET_TYPES)}',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 检查是否有结果（快速检查，避免空导出）\n total = self.service.count(query, asset_type)\n if total == 0:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='No results to export',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n # 获取表头和格式化器\n headers, formatters = self._get_headers_and_formatters(asset_type)\n \n # 生成文件名\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n filename = f'search_{asset_type}_{timestamp}.csv'\n \n # 使用通用导出工具\n data_iterator = self.service.search_iter(query, asset_type)\n return create_csv_export_response(\n data_iterator=data_iterator,\n headers=headers,\n filename=filename,\n field_formatters=formatters,\n show_progress=True # 显示下载进度\n )\n" }, { "path": "backend/apps/common/__init__.py", "content": "\"\"\"\n通用工具模块\n\n提供各种共享的工具类和函数\n\"\"\"\n\nfrom .normalizer import normalize_domain, normalize_ip, normalize_cidr, normalize_target\nfrom .validators import validate_domain, validate_ip, validate_cidr, detect_target_type\n\n__all__ = [\n # 规范化工具\n 'normalize_domain',\n 'normalize_ip',\n 'normalize_cidr',\n 'normalize_target',\n \n # 验证器\n 'validate_domain',\n 'validate_ip',\n 'validate_cidr',\n 'detect_target_type',\n]\n\n" }, { "path": "backend/apps/common/apps.py", "content": "from django.apps import AppConfig\n\n\nclass CommonConfig(AppConfig):\n default_auto_field = 'django.db.models.BigAutoField'\n name = 'apps.common' # 因为在 apps/ 目录下\n \n def ready(self):\n \"\"\"应用就绪时调用\"\"\"\n pass\n" }, { "path": "backend/apps/common/authentication.py", "content": "from rest_framework.authentication import SessionAuthentication\n\n\nclass CsrfExemptSessionAuthentication(SessionAuthentication):\n \"\"\"\n 前后端分离项目使用的 Session 认证\n 禁用 CSRF 检查，因为 CSRF 主要防护的是同源页面表单提交\n 前后端分离项目通过 CORS 控制跨域访问，不需要 CSRF\n \"\"\"\n\n def enforce_csrf(self, request):\n # 不执行 CSRF 检查\n return\n" }, { "path": "backend/apps/common/container_bootstrap.py", "content": "\"\"\"\n容器启动引导模块\n\n提供动态任务容器的通用初始化功能：\n- 从 Server 配置中心获取配置\n- 设置环境变量\n- 初始化 Django 环境\n\n使用方式：\n from apps.common.container_bootstrap import fetch_config_and_setup_django\n fetch_config_and_setup_django() # 必须在 Django 导入之前调用\n\"\"\"\nimport os\nimport sys\nimport requests\nimport logging\nimport urllib3\n\n# 禁用自签名证书的 SSL 警告（远程 Worker 场景）\nurllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)\n\nlogger = logging.getLogger(__name__)\n\n\ndef fetch_config_and_setup_django():\n \"\"\"\n 从配置中心获取配置并初始化 Django\n \n Note:\n 必须在 Django 导入之前调用此函数\n \"\"\"\n server_url = os.environ.get(\"SERVER_URL\")\n if not server_url:\n print(\"[ERROR] 缺少 SERVER_URL 环境变量\", file=sys.stderr)\n sys.exit(1)\n \n # 通过环境变量声明 Worker 身份（本地/远程）\n is_local = os.environ.get(\"IS_LOCAL\", \"false\").lower() == \"true\"\n config_url = f\"{server_url}/api/workers/config/?is_local={str(is_local).lower()}\"\n print(f\"[CONFIG] 正在从配置中心获取配置: {config_url}\")\n print(f\"[CONFIG] IS_LOCAL={is_local}\")\n try:\n # 构建请求头（包含 Worker API Key）\n headers = {}\n worker_api_key = os.environ.get(\"WORKER_API_KEY\", \"\")\n if worker_api_key:\n headers[\"X-Worker-API-Key\"] = worker_api_key\n \n # verify=False: 远程 Worker 通过 HTTPS 访问时可能使用自签名证书\n resp = requests.get(config_url, headers=headers, timeout=10, verify=False)\n resp.raise_for_status()\n config = resp.json()\n \n # 数据库配置（必需）\n db_host = config['db']['host']\n db_port = config['db']['port']\n db_name = config['db']['name']\n db_user = config['db']['user']\n \n os.environ.setdefault(\"DB_HOST\", db_host)\n os.environ.setdefault(\"DB_PORT\", db_port)\n os.environ.setdefault(\"DB_NAME\", db_name)\n os.environ.setdefault(\"DB_USER\", db_user)\n os.environ.setdefault(\"DB_PASSWORD\", config['db']['password'])\n \n # 日志配置\n os.environ.setdefault(\"LOG_DIR\", config['paths']['logs'])\n os.environ.setdefault(\"LOG_LEVEL\", config['logging']['level'])\n os.environ.setdefault(\"ENABLE_COMMAND_LOGGING\", str(config['logging']['enableCommandLogging']).lower())\n os.environ.setdefault(\"DEBUG\", str(config['debug']))\n \n print(f\"[CONFIG] ✓ 配置获取成功\")\n print(f\"[CONFIG] DB_HOST: {db_host}\")\n print(f\"[CONFIG] DB_PORT: {db_port}\")\n print(f\"[CONFIG] DB_NAME: {db_name}\")\n print(f\"[CONFIG] DB_USER: {db_user}\")\n \n except Exception as e:\n print(f\"[ERROR] 获取配置失败: {config_url} - {e}\", file=sys.stderr)\n sys.exit(1)\n \n # 初始化 Django\n os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\n import django\n django.setup()\n \n return config\n" }, { "path": "backend/apps/common/decorators/__init__.py", "content": "\"\"\"\n通用装饰器模块\n\n提供可在整个项目中复用的装饰器\n\"\"\"\n\nfrom .db_connection import (\n ensure_db_connection,\n auto_ensure_db_connection,\n async_check_and_reconnect,\n ensure_db_connection_async,\n)\n\n__all__ = [\n 'ensure_db_connection',\n 'auto_ensure_db_connection',\n 'async_check_and_reconnect',\n 'ensure_db_connection_async',\n]\n" }, { "path": "backend/apps/common/decorators/db_connection.py", "content": "\"\"\"\n数据库连接装饰器\n\n提供自动数据库连接健康检查的装饰器，确保长时间运行的任务中数据库连接不会失效。\n\n主要功能：\n- @auto_ensure_db_connection: 类装饰器，自动为所有公共方法添加连接检查\n- @ensure_db_connection: 方法装饰器，单独为某个方法添加连接检查\n\n使用场景：\n- Repository 层的数据库操作\n- Service 层需要确保数据库连接的操作\n- 任何需要数据库连接健康检查的类或方法\n\"\"\"\n\nimport logging\nimport functools\nimport time\nfrom django.db import connection\nfrom asgiref.sync import sync_to_async\n\nlogger = logging.getLogger(__name__)\n\n\ndef ensure_db_connection(method):\n \"\"\"\n 方法装饰器：自动确保数据库连接健康\n \n 在方法执行前自动检查数据库连接，如果连接失效则自动重连。\n \n 使用场景：\n - 需要单独装饰某个方法时使用\n - 通常建议使用类装饰器 @auto_ensure_db_connection\n \n 示例：\n @ensure_db_connection\n def my_method(self):\n # 会自动检查连接健康\n ...\n \"\"\"\n @functools.wraps(method)\n def wrapper(self, *args, **kwargs):\n _check_and_reconnect()\n return method(self, *args, **kwargs)\n return wrapper\n\n\ndef auto_ensure_db_connection(cls):\n \"\"\"\n 类装饰器：自动给所有公共方法添加数据库连接检查\n \n 自动为类中所有公共方法（不以 _ 开头的方法）添加 @ensure_db_connection 装饰器。\n \n 特性：\n - 自动装饰所有公共方法\n - 跳过私有方法（以 _ 开头）\n - 跳过类方法和静态方法\n - 跳过已经装饰过的方法\n \n 使用方式：\n @auto_ensure_db_connection\n class MyRepository:\n def bulk_create(self, items):\n # 自动添加连接检查\n ...\n \n def query(self, filters):\n # 自动添加连接检查\n ...\n \n def _private_method(self):\n # 不会添加装饰器\n ...\n \n 优势：\n - 无需为每个方法手动添加装饰器\n - 减少代码重复\n - 降低遗漏风险\n \"\"\"\n for attr_name in dir(cls):\n # 跳过私有方法和魔术方法\n if attr_name.startswith('_'):\n continue\n \n attr = getattr(cls, attr_name)\n \n # 只装饰可调用的实例方法\n if callable(attr) and not isinstance(attr, (staticmethod, classmethod)):\n # 检查是否已经被装饰过（避免重复装饰）\n if not hasattr(attr, '_db_connection_ensured'):\n wrapped = ensure_db_connection(attr)\n wrapped._db_connection_ensured = True\n setattr(cls, attr_name, wrapped)\n \n return cls\n\n\ndef _check_and_reconnect(max_retries=5):\n \"\"\"\n 检查数据库连接健康状态，必要时使用指数退避重新连接\n \n 策略：\n 1. 尝试执行简单查询测试连接\n 2. 如果失败，使用指数退避策略重试（最多5次）\n 3. 每次重试的等待时间：2^attempt 秒 (1s, 2s, 4s, 8s, 16s)\n \n 异常处理：\n - 连接失效时自动重连\n - 记录警告日志和重试信息\n - 忽略关闭连接时的错误\n - 达到最大重试次数后抛出异常\n \"\"\"\n last_error = None\n \n for attempt in range(max_retries):\n try:\n connection.ensure_connection()\n with connection.cursor() as cursor:\n cursor.execute(\"SELECT 1\")\n cursor.fetchone()\n \n # 连接成功\n if attempt > 0:\n logger.info(f\"数据库重连成功 (尝试 {attempt + 1}/{max_retries})\")\n return\n \n except Exception as e:\n last_error = e\n logger.warning(\n f\"数据库连接检查失败 (尝试 {attempt + 1}/{max_retries}): {e}\"\n )\n \n # 关闭失效的连接\n try:\n connection.close()\n except Exception:\n pass # 忽略关闭时的错误\n \n # 如果还有重试机会，使用指数退避等待\n if attempt < max_retries - 1:\n delay = 2 ** attempt # 指数退避: 1, 2, 4, 8, 16 秒\n logger.info(f\"等待 {delay} 秒后重试...\")\n time.sleep(delay)\n else:\n # 最后一次尝试也失败，抛出异常\n logger.error(\n f\"数据库重连失败，已达最大重试次数 ({max_retries})\"\n )\n raise last_error\n\n\nasync def async_check_and_reconnect(max_retries=5):\n await sync_to_async(_check_and_reconnect, thread_sensitive=True)(max_retries=max_retries)\n\n\ndef ensure_db_connection_async(method):\n @functools.wraps(method)\n async def wrapper(*args, **kwargs):\n await async_check_and_reconnect()\n return await method(*args, **kwargs)\n return wrapper\n\n\n__all__ = [\n 'ensure_db_connection',\n 'auto_ensure_db_connection',\n 'async_check_and_reconnect',\n 'ensure_db_connection_async',\n]\n" }, { "path": "backend/apps/common/definitions.py", "content": "from django.db import models\n\n\nclass ScanStatus(models.TextChoices):\n \"\"\"扫描任务状态枚举\"\"\"\n CANCELLED = 'cancelled', '已取消'\n COMPLETED = 'completed', '已完成'\n FAILED = 'failed', '失败'\n INITIATED = 'initiated', '初始化'\n RUNNING = 'running', '运行中'\n\n\nclass VulnSeverity(models.TextChoices):\n \"\"\"漏洞严重性枚举\"\"\"\n UNKNOWN = 'unknown', '未知'\n INFO = 'info', '信息'\n LOW = 'low', '低'\n MEDIUM = 'medium', '中'\n HIGH = 'high', '高'\n CRITICAL = 'critical', '危急'\n" }, { "path": "backend/apps/common/error_codes.py", "content": "\"\"\"\n标准化错误码定义\n\n采用简化方案（参考 Stripe、GitHub 等大厂做法）：\n- 只定义 5-10 个通用错误码\n- 未知错误使用通用错误码\n- 错误码格式：大写字母和下划线组成\n\"\"\"\n\n\nclass ErrorCodes:\n \"\"\"标准化错误码\n \n 只定义通用错误码，其他错误使用通用消息。\n 这是 Stripe、GitHub 等大厂的标准做法。\n \n 错误码格式规范：\n - 使用大写字母和下划线\n - 简洁明了，易于理解\n - 前端通过错误码映射到 i18n 键\n \"\"\"\n \n # 通用错误码（8 个）\n VALIDATION_ERROR = 'VALIDATION_ERROR' # 输入验证失败\n NOT_FOUND = 'NOT_FOUND' # 资源未找到\n PERMISSION_DENIED = 'PERMISSION_DENIED' # 权限不足\n SERVER_ERROR = 'SERVER_ERROR' # 服务器内部错误\n BAD_REQUEST = 'BAD_REQUEST' # 请求格式错误\n CONFLICT = 'CONFLICT' # 资源冲突（如重复创建）\n UNAUTHORIZED = 'UNAUTHORIZED' # 未认证\n RATE_LIMITED = 'RATE_LIMITED' # 请求过于频繁\n" }, { "path": "backend/apps/common/exception_handlers.py", "content": "\"\"\"\n自定义异常处理器\n\n统一处理 DRF 异常，确保错误响应格式一致\n\"\"\"\n\nfrom rest_framework.views import exception_handler\nfrom rest_framework import status\nfrom rest_framework.exceptions import AuthenticationFailed, NotAuthenticated\n\nfrom apps.common.response_helpers import error_response\nfrom apps.common.error_codes import ErrorCodes\n\n\ndef custom_exception_handler(exc, context):\n \"\"\"\n 自定义异常处理器\n \n 处理认证相关异常，返回统一格式的错误响应\n \"\"\"\n # 先调用 DRF 默认的异常处理器\n response = exception_handler(exc, context)\n \n if response is not None:\n # 处理 401 未认证错误\n if response.status_code == status.HTTP_401_UNAUTHORIZED:\n return error_response(\n code=ErrorCodes.UNAUTHORIZED,\n message='Authentication required',\n status_code=status.HTTP_401_UNAUTHORIZED\n )\n \n # 处理 403 权限不足错误\n if response.status_code == status.HTTP_403_FORBIDDEN:\n return error_response(\n code=ErrorCodes.PERMISSION_DENIED,\n message='Permission denied',\n status_code=status.HTTP_403_FORBIDDEN\n )\n \n # 处理 NotAuthenticated 和 AuthenticationFailed 异常\n if isinstance(exc, (NotAuthenticated, AuthenticationFailed)):\n return error_response(\n code=ErrorCodes.UNAUTHORIZED,\n message='Authentication required',\n status_code=status.HTTP_401_UNAUTHORIZED\n )\n \n return response\n" }, { "path": "backend/apps/common/management/commands/db_health_check.py", "content": "\"\"\"\n数据库健康检查管理命令\n\n使用方法:\npython manage.py db_health_check # 基础延迟测试（5次）\npython manage.py db_health_check --test-count=10 # 指定测试次数\npython manage.py db_health_check --reconnect # 强制重连后测试\npython manage.py db_health_check --stats # 显示连接统计信息\npython manage.py db_health_check --api-test # 测试实际API查询性能\npython manage.py db_health_check --monitor # 监控数据库服务器性能指标\npython manage.py db_health_check --db=other # 指定数据库别名\npython manage.py db_health_check --api-test --test-count=10 # API性能测试10次\npython manage.py db_health_check --reconnect --api-test # 重连后进行API测试\n\n示例:\n# 快速延迟检查\npython manage.py db_health_check --test-count=3\n\n# 完整性能分析\npython manage.py db_health_check --api-test --stats --test-count=5\n\n# 数据库服务器监控\npython manage.py db_health_check --monitor\n\"\"\"\n\nimport time\nimport logging\nfrom django.core.management.base import BaseCommand\nfrom django.db import connection, connections\nfrom django.conf import settings\n\nlogger = logging.getLogger(__name__)\n\n\nclass Command(BaseCommand):\n \"\"\"Django管理命令：数据库健康检查\"\"\"\n \n help = '检查数据库连接健康状态'\n \n def add_arguments(self, parser):\n parser.add_argument(\n '--reconnect',\n action='store_true',\n help='强制重新连接数据库',\n )\n parser.add_argument(\n '--stats',\n action='store_true',\n help='显示连接统计信息',\n )\n parser.add_argument(\n '--db',\n type=str,\n default='default',\n help='指定数据库别名（默认: default）',\n )\n parser.add_argument(\n '--test-count',\n type=int,\n default=5,\n help='延迟测试次数（默认: 5）',\n )\n parser.add_argument(\n '--api-test',\n action='store_true',\n help='测试实际API查询性能',\n )\n parser.add_argument(\n '--monitor',\n action='store_true',\n help='监控数据库服务器性能指标',\n )\n \n def handle(self, *args, **options):\n db_alias = options['db']\n test_count = options['test_count']\n \n self.stdout.write(f\"正在测试数据库 '{db_alias}' 连接...\")\n \n # 获取数据库连接\n db_connection = connections[db_alias]\n \n if options['reconnect']:\n self.stdout.write(\"强制重新连接数据库...\")\n try:\n db_connection.close()\n db_connection.ensure_connection()\n self.stdout.write(self.style.SUCCESS(\"✓ 重连成功\"))\n except Exception as e:\n self.stdout.write(self.style.ERROR(f\"✗ 重连失败: {e}\"))\n return\n \n # 测试数据库延迟\n if options['monitor']:\n self.monitor_database_performance(db_connection)\n elif options['api_test']:\n self.test_api_performance(test_count)\n else:\n self.test_database_latency(db_connection, test_count)\n \n if options['stats']:\n self.show_connection_stats(db_connection)\n \n def test_database_latency(self, db_connection, test_count):\n \"\"\"测试数据库延迟\"\"\"\n self.stdout.write(f\"\\n开始延迟测试（{test_count} 次）...\")\n \n latencies = []\n successful_tests = 0\n connection_times = []\n query_times = []\n \n for i in range(test_count):\n try:\n # 测试连接建立时间\n conn_start = time.time()\n db_connection.ensure_connection()\n conn_end = time.time()\n conn_time = (conn_end - conn_start) * 1000\n connection_times.append(conn_time)\n \n # 测试查询执行时间\n query_start = time.time()\n with db_connection.cursor() as cursor:\n cursor.execute(\"SELECT 1\")\n result = cursor.fetchone()\n query_end = time.time()\n query_time = (query_end - query_start) * 1000\n query_times.append(query_time)\n \n total_time = conn_time + query_time\n latencies.append(total_time)\n successful_tests += 1\n \n self.stdout.write(f\" 测试 {i+1}: 总计{total_time:.2f}ms (连接:{conn_time:.2f}ms + 查询:{query_time:.2f}ms) ✓\")\n \n except Exception as e:\n self.stdout.write(f\" 测试 {i+1}: 失败 - {e}\")\n \n # 计算统计信息\n if latencies:\n avg_latency = sum(latencies) / len(latencies)\n min_latency = min(latencies)\n max_latency = max(latencies)\n \n avg_conn_time = sum(connection_times) / len(connection_times)\n avg_query_time = sum(query_times) / len(query_times)\n \n self.stdout.write(f\"\\n延迟统计:\")\n self.stdout.write(f\" 成功测试: {successful_tests}/{test_count}\")\n self.stdout.write(f\" 平均总延迟: {avg_latency:.2f}ms\")\n self.stdout.write(f\" 平均连接时间: {avg_conn_time:.2f}ms\")\n self.stdout.write(f\" 平均查询时间: {avg_query_time:.2f}ms\")\n self.stdout.write(f\" 最小延迟: {min_latency:.2f}ms\")\n self.stdout.write(f\" 最大延迟: {max_latency:.2f}ms\")\n \n # 分析延迟来源\n if avg_conn_time > avg_query_time * 2:\n self.stdout.write(self.style.WARNING(\" 分析: 连接建立是主要延迟来源\"))\n elif avg_query_time > avg_conn_time * 2:\n self.stdout.write(self.style.WARNING(\" 分析: 查询执行是主要延迟来源\"))\n else:\n self.stdout.write(\" 分析: 连接和查询延迟相当\")\n \n # 延迟评估\n if avg_latency < 10:\n self.stdout.write(self.style.SUCCESS(\" 评估: 延迟很低，连接优秀\"))\n elif avg_latency < 50:\n self.stdout.write(self.style.SUCCESS(\" 评估: 延迟较低，连接良好\"))\n elif avg_latency < 200:\n self.stdout.write(self.style.WARNING(\" 评估: 延迟中等，连接可接受\"))\n else:\n self.stdout.write(self.style.ERROR(\" 评估: 延迟较高，可能影响性能\"))\n else:\n self.stdout.write(self.style.ERROR(\"所有测试都失败了\"))\n \n def test_api_performance(self, test_count):\n \"\"\"测试实际API查询性能\"\"\"\n self.stdout.write(f\"\\n开始API性能测试（{test_count} 次）...\")\n \n # 导入必要的模块\n from apps.scan.models import Scan\n from apps.engine.models import ScanEngine\n from apps.targets.models import Target\n from django.db.models import Count\n \n api_latencies = []\n successful_tests = 0\n \n for i in range(test_count):\n try:\n start_time = time.time()\n \n # 测试多种查询类型\n \n # 1. 简单查询 - 引擎列表\n engines = list(ScanEngine.objects.all()[:10])\n \n # 2. 复杂查询 - 扫描列表（即使没有数据也会执行复杂的JOIN）\n scan_queryset = Scan.objects.select_related(\n 'target', 'engine'\n ).annotate(\n subdomains_count=Count('subdomains', distinct=True),\n endpoints_count=Count('endpoints', distinct=True),\n ips_count=Count('ip_addresses', distinct=True)\n ).order_by('-id')[:10]\n scan_list = list(scan_queryset)\n \n # 3. 目标查询\n targets = list(Target.objects.all()[:10])\n \n end_time = time.time()\n latency_ms = (end_time - start_time) * 1000\n api_latencies.append(latency_ms)\n successful_tests += 1\n \n self.stdout.write(f\" API测试 {i+1}: {latency_ms:.2f}ms ✓ (引擎:{len(engines)}, 扫描:{len(scan_list)}, 目标:{len(targets)})\")\n \n except Exception as e:\n self.stdout.write(f\" API测试 {i+1}: 失败 - {e}\")\n \n # 计算API查询统计信息\n if api_latencies:\n avg_latency = sum(api_latencies) / len(api_latencies)\n min_latency = min(api_latencies)\n max_latency = max(api_latencies)\n \n self.stdout.write(f\"\\nAPI查询统计:\")\n self.stdout.write(f\" 成功测试: {successful_tests}/{test_count}\")\n self.stdout.write(f\" 平均延迟: {avg_latency:.2f}ms\")\n self.stdout.write(f\" 最小延迟: {min_latency:.2f}ms\")\n self.stdout.write(f\" 最大延迟: {max_latency:.2f}ms\")\n \n # 与简单查询对比\n simple_query_avg = 150 # 基于之前的测试结果\n overhead = avg_latency - simple_query_avg\n self.stdout.write(f\" 业务逻辑开销: {overhead:.2f}ms\")\n \n # 性能评估\n if avg_latency < 500:\n self.stdout.write(self.style.SUCCESS(\" 评估: API响应速度良好\"))\n elif avg_latency < 1000:\n self.stdout.write(self.style.WARNING(\" 评估: API响应速度一般\"))\n else:\n self.stdout.write(self.style.ERROR(\" 评估: API响应速度较慢，需要优化\"))\n else:\n self.stdout.write(self.style.ERROR(\"所有API测试都失败了\"))\n \n def monitor_database_performance(self, db_connection):\n \"\"\"监控数据库服务器性能指标\"\"\"\n self.stdout.write(f\"\\n开始监控数据库性能指标...\")\n \n try:\n with db_connection.cursor() as cursor:\n # 1. 数据库基本信息\n self.stdout.write(f\"\\n=== 数据库基本信息 ===\")\n cursor.execute(\"SELECT version();\")\n version = cursor.fetchone()[0]\n self.stdout.write(f\"PostgreSQL版本: {version}\")\n \n cursor.execute(\"SELECT current_database();\")\n db_name = cursor.fetchone()[0]\n self.stdout.write(f\"当前数据库: {db_name}\")\n \n # 2. 连接信息\n self.stdout.write(f\"\\n=== 连接状态 ===\")\n cursor.execute(\"\"\"\n SELECT count(*) as total_connections,\n count(*) FILTER (WHERE state = 'active') as active_connections,\n count(*) FILTER (WHERE state = 'idle') as idle_connections\n FROM pg_stat_activity;\n \"\"\")\n conn_stats = cursor.fetchone()\n self.stdout.write(f\"总连接数: {conn_stats[0]}\")\n self.stdout.write(f\"活跃连接: {conn_stats[1]}\")\n self.stdout.write(f\"空闲连接: {conn_stats[2]}\")\n \n # 3. 数据库大小\n self.stdout.write(f\"\\n=== 数据库大小 ===\")\n cursor.execute(\"\"\"\n SELECT pg_size_pretty(pg_database_size(current_database())) as db_size;\n \"\"\")\n db_size = cursor.fetchone()[0]\n self.stdout.write(f\"数据库大小: {db_size}\")\n \n # 4. 表统计信息\n self.stdout.write(f\"\\n=== 主要表统计 ===\")\n cursor.execute(\"\"\"\n SELECT schemaname, relname, \n n_tup_ins as inserts,\n n_tup_upd as updates,\n n_tup_del as deletes,\n n_live_tup as live_rows,\n n_dead_tup as dead_rows\n FROM pg_stat_user_tables \n WHERE schemaname = 'public'\n ORDER BY n_live_tup DESC\n LIMIT 10;\n \"\"\")\n tables = cursor.fetchall()\n if tables:\n for table in tables:\n self.stdout.write(f\" {table[1]}: {table[5]} 行 (插入:{table[2]}, 更新:{table[3]}, 删除:{table[4]}, 死行:{table[6]})\")\n else:\n self.stdout.write(\" 暂无表统计数据\")\n \n # 5. 慢查询统计\n self.stdout.write(f\"\\n=== 查询性能统计 ===\")\n cursor.execute(\"\"\"\n SELECT query,\n calls,\n total_time,\n mean_time,\n rows\n FROM pg_stat_statements \n WHERE query NOT LIKE '%pg_stat_statements%'\n ORDER BY mean_time DESC \n LIMIT 5;\n \"\"\")\n try:\n slow_queries = cursor.fetchall()\n if slow_queries:\n for i, query in enumerate(slow_queries, 1):\n self.stdout.write(f\" {i}. 平均耗时: {query[3]:.2f}ms, 调用次数: {query[1]}\")\n self.stdout.write(f\" 查询: {query[0][:100]}...\")\n else:\n self.stdout.write(\" 未找到查询统计（可能未启用pg_stat_statements扩展）\")\n except Exception:\n self.stdout.write(\" 查询统计不可用（需要pg_stat_statements扩展）\")\n \n # 6. 锁信息\n self.stdout.write(f\"\\n=== 锁状态 ===\")\n cursor.execute(\"\"\"\n SELECT mode, count(*) \n FROM pg_locks \n GROUP BY mode \n ORDER BY count(*) DESC;\n \"\"\")\n locks = cursor.fetchall()\n total_locks = sum(lock[1] for lock in locks)\n self.stdout.write(f\"总锁数量: {total_locks}\")\n for lock in locks:\n self.stdout.write(f\" {lock[0]}: {lock[1]} 个\")\n \n # 7. 缓存命中率\n self.stdout.write(f\"\\n=== 缓存性能 ===\")\n cursor.execute(\"\"\"\n SELECT \n sum(heap_blks_read) as heap_read,\n sum(heap_blks_hit) as heap_hit,\n sum(heap_blks_hit) / (sum(heap_blks_hit) + sum(heap_blks_read)) * 100 as cache_hit_ratio\n FROM pg_statio_user_tables;\n \"\"\")\n cache_stats = cursor.fetchone()\n if cache_stats[0] and cache_stats[1]:\n self.stdout.write(f\"缓存命中率: {cache_stats[2]:.2f}%\")\n self.stdout.write(f\"磁盘读取: {cache_stats[0]} 块\")\n self.stdout.write(f\"缓存命中: {cache_stats[1]} 块\")\n else:\n self.stdout.write(\"缓存统计: 暂无数据\")\n \n # 8. 检查点和WAL\n self.stdout.write(f\"\\n=== WAL和检查点 ===\")\n cursor.execute(\"\"\"\n SELECT \n checkpoints_timed,\n checkpoints_req,\n checkpoint_write_time,\n checkpoint_sync_time\n FROM pg_stat_bgwriter;\n \"\"\")\n bgwriter = cursor.fetchone()\n self.stdout.write(f\"定时检查点: {bgwriter[0]}\")\n self.stdout.write(f\"请求检查点: {bgwriter[1]}\")\n self.stdout.write(f\"检查点写入时间: {bgwriter[2]}ms\")\n self.stdout.write(f\"检查点同步时间: {bgwriter[3]}ms\")\n \n # 9. 当前活跃查询\n self.stdout.write(f\"\\n=== 当前活跃查询 ===\")\n cursor.execute(\"\"\"\n SELECT pid, \n application_name,\n state,\n query_start,\n now() - query_start as duration,\n left(query, 100) as query_preview\n FROM pg_stat_activity \n WHERE state = 'active' \n AND query NOT LIKE '%pg_stat_activity%'\n ORDER BY query_start;\n \"\"\")\n active_queries = cursor.fetchall()\n if active_queries:\n for query in active_queries:\n self.stdout.write(f\" PID {query[0]} ({query[1]}): 运行 {query[4]}\")\n self.stdout.write(f\" 查询: {query[5]}...\")\n else:\n self.stdout.write(\" 当前无活跃查询\")\n \n except Exception as e:\n self.stdout.write(self.style.ERROR(f\"监控失败: {e}\"))\n \n def show_connection_stats(self, db_connection):\n \"\"\"显示连接统计信息\"\"\"\n self.stdout.write(f\"\\n连接信息:\")\n \n # 基本连接信息\n settings_dict = db_connection.settings_dict\n self.stdout.write(f\" 数据库类型: {db_connection.vendor}\")\n self.stdout.write(f\" 主机: {settings_dict.get('HOST', 'localhost')}\")\n self.stdout.write(f\" 端口: {settings_dict.get('PORT', '5432')}\")\n self.stdout.write(f\" 数据库名: {settings_dict.get('NAME', '')}\")\n self.stdout.write(f\" 用户: {settings_dict.get('USER', '')}\")\n \n # 连接配置\n conn_max_age = settings_dict.get('CONN_MAX_AGE', 0)\n self.stdout.write(f\" 连接最大存活时间: {conn_max_age}秒\")\n \n # 查询统计\n if hasattr(db_connection, 'queries'):\n query_count = len(db_connection.queries)\n if query_count > 0:\n total_time = sum(float(q['time']) for q in db_connection.queries)\n self.stdout.write(f\" 查询次数: {query_count}\")\n self.stdout.write(f\" 总查询时间: {total_time:.4f}秒\")\n \n # 连接状态\n is_connected = hasattr(db_connection, 'connection') and db_connection.connection is not None\n self.stdout.write(f\" 连接状态: {'已连接' if is_connected else '未连接'}\")\n" }, { "path": "backend/apps/common/management/commands/db_monitor.py", "content": "\"\"\"\n简化的数据库性能监控命令\n\n专注于可能导致查询延迟的关键指标\n\"\"\"\n\nimport time\nfrom django.core.management.base import BaseCommand\nfrom django.db import connections\n\n\nclass Command(BaseCommand):\n \"\"\"简化的数据库性能监控\"\"\"\n \n help = '监控数据库性能关键指标'\n \n def add_arguments(self, parser):\n parser.add_argument(\n '--interval',\n type=int,\n default=5,\n help='监控间隔（秒，默认: 5）',\n )\n parser.add_argument(\n '--count',\n type=int,\n default=3,\n help='监控次数（默认: 3）',\n )\n \n def handle(self, *args, **options):\n interval = options['interval']\n count = options['count']\n \n self.stdout.write(\"🔍 数据库性能监控开始...\")\n \n for i in range(count):\n if i > 0:\n time.sleep(interval)\n \n self.stdout.write(f\"\\n=== 第 {i+1} 次监控 ===\")\n self.monitor_key_metrics()\n \n def monitor_key_metrics(self):\n \"\"\"监控关键性能指标\"\"\"\n db_connection = connections['default']\n \n try:\n with db_connection.cursor() as cursor:\n # 1. 连接和活动状态\n cursor.execute(\"\"\"\n SELECT \n count(*) as total_connections,\n count(*) FILTER (WHERE state = 'active') as active,\n count(*) FILTER (WHERE state = 'idle') as idle,\n count(*) FILTER (WHERE state = 'idle in transaction') as idle_in_trans,\n count(*) FILTER (WHERE wait_event_type IS NOT NULL) as waiting\n FROM pg_stat_activity;\n \"\"\")\n conn_stats = cursor.fetchone()\n self.stdout.write(f\"连接: 总计{conn_stats[0]} | 活跃{conn_stats[1]} | 空闲{conn_stats[2]} | 事务中{conn_stats[3]} | 等待{conn_stats[4]}\")\n \n # 2. 锁等待情况\n cursor.execute(\"\"\"\n SELECT \n count(*) as total_locks,\n count(*) FILTER (WHERE NOT granted) as waiting_locks\n FROM pg_locks;\n \"\"\")\n lock_stats = cursor.fetchone()\n if lock_stats[1] > 0:\n self.stdout.write(self.style.WARNING(f\"🔒 锁: 总计{lock_stats[0]} | 等待{lock_stats[1]}\"))\n else:\n self.stdout.write(f\"🔒 锁: 总计{lock_stats[0]} | 等待{lock_stats[1]}\")\n \n # 3. 长时间运行的查询\n cursor.execute(\"\"\"\n SELECT \n pid,\n application_name,\n now() - query_start as duration,\n state,\n left(query, 60) as query_preview\n FROM pg_stat_activity \n WHERE state = 'active' \n AND query_start < now() - interval '1 second'\n AND query NOT LIKE '%pg_stat_activity%'\n ORDER BY query_start;\n \"\"\")\n long_queries = cursor.fetchall()\n if long_queries:\n self.stdout.write(self.style.WARNING(f\"⏱️ 长查询 ({len(long_queries)} 个):\"))\n for query in long_queries:\n self.stdout.write(f\" PID {query[0]} ({query[1]}): {query[2]} - {query[4]}...\")\n else:\n self.stdout.write(\"⏱️ 长查询: 无\")\n \n # 4. 缓存命中率\n cursor.execute(\"\"\"\n SELECT \n sum(heap_blks_hit) as cache_hits,\n sum(heap_blks_read) as disk_reads,\n CASE \n WHEN sum(heap_blks_hit) + sum(heap_blks_read) = 0 THEN 0\n ELSE round(sum(heap_blks_hit) * 100.0 / (sum(heap_blks_hit) + sum(heap_blks_read)), 2)\n END as hit_ratio\n FROM pg_statio_user_tables;\n \"\"\")\n cache_stats = cursor.fetchone()\n if cache_stats[0] or cache_stats[1]:\n hit_ratio = cache_stats[2] or 0\n if hit_ratio < 95:\n self.stdout.write(self.style.WARNING(f\"💾 缓存命中率: {hit_ratio}% (缓存:{cache_stats[0]}, 磁盘:{cache_stats[1]})\"))\n else:\n self.stdout.write(f\"💾 缓存命中率: {hit_ratio}% (缓存:{cache_stats[0]}, 磁盘:{cache_stats[1]})\")\n else:\n self.stdout.write(\"💾 缓存: 暂无统计数据\")\n \n # 5. 检查点活动（尝试获取，如果失败则跳过）\n try:\n cursor.execute(\"SELECT * FROM pg_stat_bgwriter LIMIT 1;\")\n bgwriter_cols = [desc[0] for desc in cursor.description]\n \n if 'checkpoints_timed' in bgwriter_cols:\n cursor.execute(\"\"\"\n SELECT \n checkpoints_timed,\n checkpoints_req,\n checkpoint_write_time,\n checkpoint_sync_time\n FROM pg_stat_bgwriter;\n \"\"\")\n bgwriter = cursor.fetchone()\n total_checkpoints = bgwriter[0] + bgwriter[1]\n if bgwriter[2] > 10000 or bgwriter[3] > 5000:\n self.stdout.write(self.style.WARNING(f\"📝 检查点: 总计{total_checkpoints} | 写入{bgwriter[2]}ms | 同步{bgwriter[3]}ms\"))\n else:\n self.stdout.write(f\"📝 检查点: 总计{total_checkpoints} | 写入{bgwriter[2]}ms | 同步{bgwriter[3]}ms\")\n else:\n self.stdout.write(\"📝 检查点: 统计不可用\")\n except Exception:\n self.stdout.write(\"📝 检查点: 统计不可用\")\n \n # 6. 数据库大小变化\n cursor.execute(\"SELECT pg_database_size(current_database());\")\n db_size = cursor.fetchone()[0]\n db_size_mb = round(db_size / 1024 / 1024, 2)\n self.stdout.write(f\"💿 数据库大小: {db_size_mb} MB\")\n \n # 7. 测试查询延迟\n start_time = time.time()\n cursor.execute(\"SELECT 1\")\n cursor.fetchone()\n query_latency = (time.time() - start_time) * 1000\n \n if query_latency > 500:\n self.stdout.write(self.style.ERROR(f\"⚡ 查询延迟: {query_latency:.2f}ms (高)\"))\n elif query_latency > 200:\n self.stdout.write(self.style.WARNING(f\"⚡ 查询延迟: {query_latency:.2f}ms (中)\"))\n else:\n self.stdout.write(f\"⚡ 查询延迟: {query_latency:.2f}ms (正常)\")\n \n except Exception as e:\n self.stdout.write(self.style.ERROR(f\"监控失败: {e}\"))\n" }, { "path": "backend/apps/common/management/commands/init_admin.py", "content": "\"\"\"\n初始化 admin 用户\n用法: python manage.py init_admin [--password <password>]\n\"\"\"\nimport os\nfrom django.core.management.base import BaseCommand\nfrom django.contrib.auth import get_user_model\n\nUser = get_user_model()\n\nDEFAULT_USERNAME = 'admin'\nDEFAULT_PASSWORD = 'admin' # 默认密码，建议首次登录后修改\n\n\nclass Command(BaseCommand):\n help = '初始化 admin 用户'\n\n def add_arguments(self, parser):\n parser.add_argument(\n '--password',\n type=str,\n default=os.getenv('ADMIN_PASSWORD', DEFAULT_PASSWORD),\n help='admin 用户密码 (默认: admin 或 ADMIN_PASSWORD 环境变量)'\n )\n parser.add_argument(\n '--force',\n action='store_true',\n help='强制重置密码（如果用户已存在）'\n )\n\n def handle(self, *args, **options):\n password = options['password']\n force = options['force']\n\n try:\n user = User.objects.get(username=DEFAULT_USERNAME)\n if force:\n user.set_password(password)\n user.save()\n self.stdout.write(\n self.style.SUCCESS(f'✓ admin 用户密码已重置')\n )\n else:\n self.stdout.write(\n self.style.WARNING(f'⚠ admin 用户已存在，跳过创建（使用 --force 重置密码）')\n )\n except User.DoesNotExist:\n User.objects.create_superuser(\n username=DEFAULT_USERNAME,\n email='admin@localhost',\n password=password\n )\n self.stdout.write(\n self.style.SUCCESS(f'✓ admin 用户创建成功')\n )\n self.stdout.write(\n self.style.WARNING(f' 用户名: {DEFAULT_USERNAME}')\n )\n self.stdout.write(\n self.style.WARNING(f' 密码: {password}')\n )\n self.stdout.write(\n self.style.WARNING(f' ⚠ 请首次登录后修改密码!')\n )\n" }, { "path": "backend/apps/common/migrations/0001_initial.py", "content": "# Generated by Django 5.2.7 on 2026-01-06 00:55\n\nimport django.db.models.deletion\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ('targets', '0001_initial'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='BlacklistRule',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('pattern', models.CharField(help_text='规则模式，如 *.gov, 10.0.0.0/8, 192.168.1.1', max_length=255)),\n ('rule_type', models.CharField(choices=[('domain', '域名'), ('ip', 'IP地址'), ('cidr', 'CIDR范围'), ('keyword', '关键词')], help_text='规则类型：domain, ip, cidr', max_length=20)),\n ('scope', models.CharField(choices=[('global', '全局规则'), ('target', 'Target规则')], db_index=True, help_text='作用域：global 或 target', max_length=20)),\n ('description', models.CharField(blank=True, default='', help_text='规则描述', max_length=500)),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ('target', models.ForeignKey(blank=True, help_text='关联的 Target（仅 scope=target 时有值）', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='blacklist_rules', to='targets.target')),\n ],\n options={\n 'db_table': 'blacklist_rule',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['scope', 'rule_type'], name='blacklist_r_scope_6ff77f_idx'), models.Index(fields=['target', 'scope'], name='blacklist_r_target__191441_idx')],\n 'constraints': [models.UniqueConstraint(fields=('pattern', 'scope', 'target'), name='unique_blacklist_rule')],\n },\n ),\n ]\n" }, { "path": "backend/apps/common/migrations/__init__.py", "content": "" }, { "path": "backend/apps/common/models/__init__.py", "content": "\"\"\"Common models\"\"\"\nfrom apps.common.models.blacklist import BlacklistRule\n\n__all__ = ['BlacklistRule']\n" }, { "path": "backend/apps/common/models/blacklist.py", "content": "\"\"\"黑名单规则模型\"\"\"\nfrom django.db import models\n\n\nclass BlacklistRule(models.Model):\n \"\"\"黑名单规则模型\n \n 用于存储黑名单过滤规则，支持域名、IP、CIDR 三种类型。\n 支持两层作用域：全局规则和 Target 级规则。\n \"\"\"\n \n class RuleType(models.TextChoices):\n DOMAIN = 'domain', '域名'\n IP = 'ip', 'IP地址'\n CIDR = 'cidr', 'CIDR范围'\n KEYWORD = 'keyword', '关键词'\n \n class Scope(models.TextChoices):\n GLOBAL = 'global', '全局规则'\n TARGET = 'target', 'Target规则'\n \n id = models.AutoField(primary_key=True)\n pattern = models.CharField(\n max_length=255, \n help_text='规则模式，如 *.gov, 10.0.0.0/8, 192.168.1.1'\n )\n rule_type = models.CharField(\n max_length=20, \n choices=RuleType.choices,\n help_text='规则类型：domain, ip, cidr'\n )\n scope = models.CharField(\n max_length=20, \n choices=Scope.choices, \n db_index=True,\n help_text='作用域：global 或 target'\n )\n target = models.ForeignKey(\n 'targets.Target',\n on_delete=models.CASCADE,\n null=True, \n blank=True,\n related_name='blacklist_rules',\n help_text='关联的 Target（仅 scope=target 时有值）'\n )\n description = models.CharField(\n max_length=500, \n blank=True, \n default='', \n help_text='规则描述'\n )\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'blacklist_rule'\n indexes = [\n models.Index(fields=['scope', 'rule_type']),\n models.Index(fields=['target', 'scope']),\n ]\n constraints = [\n models.UniqueConstraint(\n fields=['pattern', 'scope', 'target'],\n name='unique_blacklist_rule'\n ),\n ]\n ordering = ['-created_at']\n \n def __str__(self):\n if self.scope == self.Scope.TARGET and self.target:\n return f\"[{self.scope}:{self.target_id}] {self.pattern}\"\n return f\"[{self.scope}] {self.pattern}\"\n" }, { "path": "backend/apps/common/normalizer.py", "content": "import re\n\n# 预编译正则表达式，避免每次调用时重新编译\nIP_PATTERN = re.compile(r'^[\\d.:]+$')\n\n\ndef normalize_domain(domain: str) -> str:\n \"\"\"\n 规范化域名\n - 去除首尾空格\n - 转换为小写\n - 移除末尾的点\n \n Args:\n domain: 原始域名\n \n Returns:\n 规范化后的域名\n \n Raises:\n ValueError: 域名为空或只包含空格\n \"\"\"\n if not domain or not domain.strip():\n raise ValueError(\"域名不能为空\")\n \n normalized = domain.strip().lower()\n \n # 移除末尾的点\n if normalized.endswith('.'):\n normalized = normalized.rstrip('.')\n \n return normalized\n\n\ndef normalize_ip(ip: str) -> str:\n \"\"\"\n 规范化 IP 地址\n - 去除首尾空格\n - IP 地址不转小写（保持原样）\n \n Args:\n ip: 原始 IP 地址\n \n Returns:\n 规范化后的 IP 地址\n \n Raises:\n ValueError: IP 地址为空或只包含空格\n \"\"\"\n if not ip or not ip.strip():\n raise ValueError(\"IP 地址不能为空\")\n \n return ip.strip()\n\n\ndef normalize_cidr(cidr: str) -> str:\n \"\"\"\n 规范化 CIDR\n - 去除首尾空格\n - CIDR 不转小写（保持原样）\n \n Args:\n cidr: 原始 CIDR\n \n Returns:\n 规范化后的 CIDR\n \n Raises:\n ValueError: CIDR 为空或只包含空格\n \"\"\"\n if not cidr or not cidr.strip():\n raise ValueError(\"CIDR 不能为空\")\n \n return cidr.strip()\n\n\ndef normalize_target(target: str) -> str:\n \"\"\"\n 规范化目标名称（统一入口）\n 根据目标格式自动选择合适的规范化函数\n \n Args:\n target: 原始目标名称\n \n Returns:\n 规范化后的目标名称\n \n Raises:\n ValueError: 目标为空或只包含空格\n \"\"\"\n if not target or not target.strip():\n raise ValueError(\"目标名称不能为空\")\n \n # 先去除首尾空格\n trimmed = target.strip()\n \n # 如果包含 /，按 CIDR 处理\n if '/' in trimmed:\n return normalize_cidr(trimmed)\n \n # 如果是纯数字、点、冒号组成，按 IP 处理\n if IP_PATTERN.match(trimmed):\n return normalize_ip(trimmed)\n \n # 否则按域名处理\n return normalize_domain(trimmed)\n" }, { "path": "backend/apps/common/pagination.py", "content": "\"\"\"\n自定义分页器，匹配前端响应格式\n\"\"\"\nfrom rest_framework.pagination import PageNumberPagination\nfrom rest_framework.response import Response\n\n\nclass BasePagination(PageNumberPagination):\n \"\"\"\n 基础分页器，统一返回格式\n \n 响应格式：\n {\n \"results\": [...],\n \"total\": 100,\n \"page\": 1,\n \"pageSize\": 10,\n \"totalPages\": 10\n }\n \"\"\"\n page_size = 10 # 默认每页 10 条\n page_size_query_param = 'pageSize' # 允许客户端自定义每页数量\n max_page_size = 1000 # 最大每页数量限制\n \n def get_paginated_response(self, data):\n \"\"\"自定义响应格式\"\"\"\n return Response({\n 'results': data, # 数据列表\n 'total': self.page.paginator.count, # 总记录数\n 'page': self.page.number, # 当前页码（从 1 开始）\n 'page_size': self.page.paginator.per_page, # 实际使用的每页大小\n 'total_pages': self.page.paginator.num_pages # 总页数\n })\n\n" }, { "path": "backend/apps/common/permissions.py", "content": "\"\"\"\n集中式权限管理\n\n实现三类端点的认证逻辑：\n1. 公开端点（无需认证）：登录、登出、获取当前用户状态\n2. Worker 端点（API Key 认证）：注册、配置、心跳、回调、资源同步\n3. 业务端点（Session 认证）：其他所有 API\n\"\"\"\n\nimport re\nimport logging\nfrom django.conf import settings\nfrom rest_framework.permissions import BasePermission\n\nlogger = logging.getLogger(__name__)\n\n# 公开端点白名单（无需任何认证）\nPUBLIC_ENDPOINTS = [\n r'^/api/auth/login/$',\n r'^/api/auth/logout/$',\n r'^/api/auth/me/$',\n]\n\n# Worker API 端点（需要 API Key 认证）\n# 包括：注册、配置、心跳、回调、资源同步（字典下载）\nWORKER_ENDPOINTS = [\n r'^/api/workers/register/$',\n r'^/api/workers/config/$',\n r'^/api/workers/\\d+/heartbeat/$',\n r'^/api/callbacks/',\n # 资源同步端点（Worker 需要下载字典文件）\n r'^/api/wordlists/download/$',\n # 注意：指纹导出 API 使用 Session 认证（前端用户导出用）\n # Worker 通过数据库直接获取指纹数据，不需要 HTTP API\n]\n\n\nclass IsAuthenticatedOrPublic(BasePermission):\n \"\"\"\n 自定义权限类：\n - 白名单内的端点公开访问\n - Worker 端点需要 API Key 认证\n - 其他端点需要 Session 认证\n \"\"\"\n \n def has_permission(self, request, view):\n path = request.path\n \n # 检查是否在公开白名单内\n for pattern in PUBLIC_ENDPOINTS:\n if re.match(pattern, path):\n return True\n \n # 检查是否是 Worker 端点\n for pattern in WORKER_ENDPOINTS:\n if re.match(pattern, path):\n return self._check_worker_api_key(request)\n \n # 其他路径需要 Session 认证\n return request.user and request.user.is_authenticated\n \n def _check_worker_api_key(self, request):\n \"\"\"验证 Worker API Key\"\"\"\n api_key = request.headers.get('X-Worker-API-Key')\n expected_key = getattr(settings, 'WORKER_API_KEY', None)\n \n if not expected_key:\n # 未配置 API Key 时，拒绝所有 Worker 请求\n logger.warning(\"WORKER_API_KEY 未配置，拒绝 Worker 请求\")\n return False\n \n if not api_key:\n logger.warning(f\"Worker 请求缺少 X-Worker-API-Key Header: {request.path}\")\n return False\n \n if api_key != expected_key:\n logger.warning(f\"Worker API Key 无效: {request.path}\")\n return False\n \n return True\n" }, { "path": "backend/apps/common/prefect_django_setup.py", "content": "\"\"\"\nPrefect Flow Django 环境初始化模块\n\n在所有 Prefect Flow 文件开头导入此模块即可自动配置 Django 环境\n\"\"\"\n\nimport os\nimport sys\n\n\ndef setup_django_for_prefect():\n \"\"\"\n 为 Prefect Flow 配置 Django 环境\n \n 此函数会：\n 1. 添加项目根目录到 Python 路径\n 2. 设置 DJANGO_SETTINGS_MODULE 环境变量\n 3. 调用 django.setup() 初始化 Django\n 4. 关闭旧的数据库连接，确保使用新连接\n \n 使用方式：\n from apps.common.prefect_django_setup import setup_django_for_prefect\n setup_django_for_prefect()\n \"\"\"\n # 获取项目根目录（backend 目录）\n current_dir = os.path.dirname(os.path.abspath(__file__))\n backend_dir = os.path.join(current_dir, '../..')\n backend_dir = os.path.abspath(backend_dir)\n \n # 添加到 Python 路径\n if backend_dir not in sys.path:\n sys.path.insert(0, backend_dir)\n \n # 配置 Django\n os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\n \n # 初始化 Django\n import django\n django.setup()\n \n # 关闭所有旧的数据库连接，确保 Worker 进程使用新连接\n # 解决 \"server closed the connection unexpectedly\" 问题\n from django.db import connections\n connections.close_all()\n\n\ndef close_old_db_connections():\n \"\"\"\n 关闭旧的数据库连接\n \n 在长时间运行的任务中调用此函数，可以确保使用有效的数据库连接。\n 适用于：\n - Flow 开始前\n - Task 开始前\n - 长时间空闲后恢复操作前\n \"\"\"\n from django.db import connections\n connections.close_all()\n\n\n# 自动执行初始化（导入即生效）\nsetup_django_for_prefect()\n" }, { "path": "backend/apps/common/response_helpers.py", "content": "\"\"\"\n标准化 API 响应辅助函数\n\n遵循行业标准（RFC 9457 Problem Details）和大厂实践（Google、Stripe、GitHub）：\n- 成功响应只包含数据，不包含 message 字段\n- 错误响应使用机器可读的错误码，前端映射到 i18n 消息\n\"\"\"\nfrom typing import Any, Dict, List, Optional, Union\n\nfrom rest_framework import status\nfrom rest_framework.response import Response\n\n\ndef success_response(\n data: Optional[Union[Dict[str, Any], List[Any]]] = None,\n status_code: int = status.HTTP_200_OK\n) -> Response:\n \"\"\"\n 标准化成功响应\n \n 直接返回数据，不做包装，符合 Stripe/GitHub 等大厂标准。\n \n Args:\n data: 响应数据（dict 或 list）\n status_code: HTTP 状态码，默认 200\n \n Returns:\n Response: DRF Response 对象\n \n Examples:\n # 单个资源\n >>> success_response(data={'id': 1, 'name': 'Test'})\n {'id': 1, 'name': 'Test'}\n \n # 操作结果\n >>> success_response(data={'count': 3, 'scans': [...]})\n {'count': 3, 'scans': [...]}\n \n # 创建资源\n >>> success_response(data={'id': 1}, status_code=201)\n \"\"\"\n # 注意：不能使用 data or {}，因为空列表 [] 会被转换为 {}\n if data is None:\n data = {}\n return Response(data, status=status_code)\n\n\ndef error_response(\n code: str,\n message: Optional[str] = None,\n details: Optional[List[Dict[str, Any]]] = None,\n status_code: int = status.HTTP_400_BAD_REQUEST\n) -> Response:\n \"\"\"\n 标准化错误响应\n \n Args:\n code: 错误码（如 'VALIDATION_ERROR', 'NOT_FOUND'）\n 格式：大写字母和下划线组成\n message: 开发者调试信息（非用户显示）\n details: 详细错误信息（如字段级验证错误）\n status_code: HTTP 状态码，默认 400\n \n Returns:\n Response: DRF Response 对象\n \n Examples:\n # 简单错误\n >>> error_response(code='NOT_FOUND', status_code=404)\n {'error': {'code': 'NOT_FOUND'}}\n \n # 带调试信息\n >>> error_response(\n ... code='VALIDATION_ERROR',\n ... message='Invalid input data',\n ... details=[{'field': 'name', 'message': 'Required'}]\n ... )\n {'error': {'code': 'VALIDATION_ERROR', 'message': '...', 'details': [...]}}\n \"\"\"\n error_body: Dict[str, Any] = {'code': code}\n \n if message:\n error_body['message'] = message\n \n if details:\n error_body['details'] = details\n \n return Response({'error': error_body}, status=status_code)\n" }, { "path": "backend/apps/common/serializers/__init__.py", "content": "\"\"\"Common serializers\"\"\"\nfrom .blacklist_serializers import (\n BlacklistRuleSerializer,\n GlobalBlacklistRuleSerializer,\n TargetBlacklistRuleSerializer,\n)\n\n__all__ = [\n 'BlacklistRuleSerializer',\n 'GlobalBlacklistRuleSerializer',\n 'TargetBlacklistRuleSerializer',\n]\n" }, { "path": "backend/apps/common/serializers/blacklist_serializers.py", "content": "\"\"\"黑名单规则序列化器\"\"\"\nfrom rest_framework import serializers\n\nfrom apps.common.models import BlacklistRule\nfrom apps.common.utils import detect_rule_type\n\n\nclass BlacklistRuleSerializer(serializers.ModelSerializer):\n \"\"\"黑名单规则序列化器\"\"\"\n \n class Meta:\n model = BlacklistRule\n fields = [\n 'id',\n 'pattern',\n 'rule_type',\n 'scope',\n 'target',\n 'description',\n 'created_at',\n ]\n read_only_fields = ['id', 'rule_type', 'created_at']\n \n def validate_pattern(self, value):\n \"\"\"验证规则模式\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"规则模式不能为空\")\n return value.strip()\n \n def create(self, validated_data):\n \"\"\"创建规则时自动识别规则类型\"\"\"\n pattern = validated_data.get('pattern', '')\n validated_data['rule_type'] = detect_rule_type(pattern)\n return super().create(validated_data)\n \n def update(self, instance, validated_data):\n \"\"\"更新规则时重新识别规则类型\"\"\"\n if 'pattern' in validated_data:\n pattern = validated_data['pattern']\n validated_data['rule_type'] = detect_rule_type(pattern)\n return super().update(instance, validated_data)\n\n\nclass GlobalBlacklistRuleSerializer(BlacklistRuleSerializer):\n \"\"\"全局黑名单规则序列化器\"\"\"\n \n class Meta(BlacklistRuleSerializer.Meta):\n fields = ['id', 'pattern', 'rule_type', 'description', 'created_at']\n read_only_fields = ['id', 'rule_type', 'created_at']\n \n def create(self, validated_data):\n \"\"\"创建全局规则\"\"\"\n validated_data['scope'] = BlacklistRule.Scope.GLOBAL\n validated_data['target'] = None\n return super().create(validated_data)\n\n\nclass TargetBlacklistRuleSerializer(BlacklistRuleSerializer):\n \"\"\"Target 黑名单规则序列化器\"\"\"\n \n class Meta(BlacklistRuleSerializer.Meta):\n fields = ['id', 'pattern', 'rule_type', 'description', 'created_at']\n read_only_fields = ['id', 'rule_type', 'created_at']\n \n def create(self, validated_data):\n \"\"\"创建 Target 规则（target_id 由 view 设置）\"\"\"\n validated_data['scope'] = BlacklistRule.Scope.TARGET\n return super().create(validated_data)\n" }, { "path": "backend/apps/common/services/__init__.py", "content": "\"\"\"\n通用服务模块\n\n提供系统级别的公共服务，包括：\n- SystemLogService: 系统日志读取服务\n- BlacklistService: 黑名单过滤服务\n\n注意：FilterService 已移至 apps.common.utils.filter_utils\n推荐使用: from apps.common.utils.filter_utils import apply_filters\n\"\"\"\n\nfrom .system_log_service import SystemLogService\nfrom .blacklist_service import BlacklistService\n\n__all__ = [\n 'SystemLogService',\n 'BlacklistService',\n]\n" }, { "path": "backend/apps/common/services/blacklist_service.py", "content": "\"\"\"\n黑名单规则管理服务\n\n负责黑名单规则的 CRUD 操作（数据库层面）。\n过滤逻辑请使用 apps.common.utils.BlacklistFilter。\n\n架构说明：\n- Model: BlacklistRule (apps.common.models.blacklist)\n- Service: BlacklistService (本文件) - 规则 CRUD\n- Utils: BlacklistFilter (apps.common.utils.blacklist_filter) - 过滤逻辑\n- View: GlobalBlacklistView, TargetViewSet.blacklist\n\"\"\"\n\nimport logging\nfrom typing import List, Dict, Any, Optional\n\nfrom django.db.models import QuerySet\n\nfrom apps.common.utils import detect_rule_type\n\nlogger = logging.getLogger(__name__)\n\n\ndef _normalize_patterns(patterns: List[str]) -> List[str]:\n \"\"\"\n 规范化规则列表：去重 + 过滤空行\n \n Args:\n patterns: 原始规则列表\n \n Returns:\n List[str]: 去重后的规则列表（保持顺序）\n \"\"\"\n return list(dict.fromkeys(filter(None, (p.strip() for p in patterns))))\n\n\nclass BlacklistService:\n \"\"\"\n 黑名单规则管理服务\n \n 只负责规则的 CRUD 操作，不包含过滤逻辑。\n 过滤逻辑请使用 BlacklistFilter 工具类。\n \"\"\"\n \n def get_global_rules(self) -> QuerySet:\n \"\"\"\n 获取全局黑名单规则列表\n \n Returns:\n QuerySet: 全局规则查询集\n \"\"\"\n from apps.common.models import BlacklistRule\n return BlacklistRule.objects.filter(scope=BlacklistRule.Scope.GLOBAL)\n \n def get_target_rules(self, target_id: int) -> QuerySet:\n \"\"\"\n 获取 Target 级黑名单规则列表\n \n Args:\n target_id: Target ID\n \n Returns:\n QuerySet: Target 级规则查询集\n \"\"\"\n from apps.common.models import BlacklistRule\n return BlacklistRule.objects.filter(\n scope=BlacklistRule.Scope.TARGET,\n target_id=target_id\n )\n \n def get_rules(self, target_id: Optional[int] = None) -> List:\n \"\"\"\n 获取黑名单规则（全局 + Target 级）\n \n Args:\n target_id: Target ID，用于加载 Target 级规则\n \n Returns:\n List[BlacklistRule]: 规则列表\n \"\"\"\n from apps.common.models import BlacklistRule\n \n # 加载全局规则\n rules = list(BlacklistRule.objects.filter(scope=BlacklistRule.Scope.GLOBAL))\n \n # 加载 Target 级规则\n if target_id:\n target_rules = BlacklistRule.objects.filter(\n scope=BlacklistRule.Scope.TARGET,\n target_id=target_id\n )\n rules.extend(target_rules)\n \n return rules\n \n def replace_global_rules(self, patterns: List[str]) -> Dict[str, Any]:\n \"\"\"\n 全量替换全局黑名单规则（PUT 语义）\n \n Args:\n patterns: 新的规则模式列表\n \n Returns:\n Dict: {'count': int} 最终规则数量\n \"\"\"\n from apps.common.models import BlacklistRule\n \n count = self._replace_rules(\n patterns=patterns,\n scope=BlacklistRule.Scope.GLOBAL,\n target=None\n )\n \n logger.info(\"全量替换全局黑名单规则: %d 条\", count)\n return {'count': count}\n \n def replace_target_rules(self, target, patterns: List[str]) -> Dict[str, Any]:\n \"\"\"\n 全量替换 Target 级黑名单规则（PUT 语义）\n \n Args:\n target: Target 对象\n patterns: 新的规则模式列表\n \n Returns:\n Dict: {'count': int} 最终规则数量\n \"\"\"\n from apps.common.models import BlacklistRule\n \n count = self._replace_rules(\n patterns=patterns,\n scope=BlacklistRule.Scope.TARGET,\n target=target\n )\n \n logger.info(\"全量替换 Target 黑名单规则: %d 条 (Target: %s)\", count, target.name)\n return {'count': count}\n \n def _replace_rules(self, patterns: List[str], scope: str, target=None) -> int:\n \"\"\"\n 内部方法：全量替换规则\n \n Args:\n patterns: 规则模式列表\n scope: 规则作用域 (GLOBAL/TARGET)\n target: Target 对象（仅 TARGET 作用域需要）\n \n Returns:\n int: 最终规则数量\n \"\"\"\n from apps.common.models import BlacklistRule\n from django.db import transaction\n \n patterns = _normalize_patterns(patterns)\n \n with transaction.atomic():\n # 1. 删除旧规则\n delete_filter = {'scope': scope}\n if target:\n delete_filter['target'] = target\n BlacklistRule.objects.filter(**delete_filter).delete()\n \n # 2. 创建新规则\n if patterns:\n rules = [\n BlacklistRule(\n pattern=pattern,\n rule_type=detect_rule_type(pattern),\n scope=scope,\n target=target\n )\n for pattern in patterns\n ]\n BlacklistRule.objects.bulk_create(rules)\n \n return len(patterns)\n" }, { "path": "backend/apps/common/services/system_log_service.py", "content": "\"\"\"\n系统日志服务模块\n\n提供系统日志的读取功能，支持：\n- 从日志目录读取日志文件\n- 限制返回行数，防止内存溢出\n- 列出可用的日志文件\n\"\"\"\n\nimport fnmatch\nimport logging\nimport os\nimport subprocess\nfrom datetime import datetime, timezone\nfrom typing import TypedDict\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass LogFileInfo(TypedDict):\n \"\"\"日志文件信息\"\"\"\n filename: str\n category: str # 'system' | 'error' | 'performance' | 'container'\n size: int\n modifiedAt: str # ISO 8601 格式\n\n\nclass SystemLogService:\n \"\"\"\n 系统日志服务类\n \n 负责读取系统日志文件，支持从容器内路径或宿主机挂载路径读取日志。\n \"\"\"\n \n # 日志文件分类规则\n CATEGORY_RULES = [\n ('xingrin.log', 'system'),\n ('xingrin_error.log', 'error'),\n ('performance.log', 'performance'),\n ('container_*.log', 'container'),\n ]\n \n def __init__(self):\n # 日志目录路径\n self.log_dir = \"/opt/xingrin/logs\"\n self.default_file = \"xingrin.log\" # 默认日志文件\n self.default_lines = 200 # 默认返回行数\n self.max_lines = 10000 # 最大返回行数限制\n self.timeout_seconds = 3 # tail 命令超时时间\n\n def _categorize_file(self, filename: str) -> str | None:\n \"\"\"\n 根据文件名判断日志分类\n \n Returns:\n 分类名称，如果不是日志文件则返回 None\n \"\"\"\n for pattern, category in self.CATEGORY_RULES:\n if fnmatch.fnmatch(filename, pattern):\n return category\n return None\n\n def _validate_filename(self, filename: str) -> bool:\n \"\"\"\n 验证文件名是否合法（防止路径遍历攻击）\n \n Args:\n filename: 要验证的文件名\n \n Returns:\n bool: 文件名是否合法\n \"\"\"\n # 不允许包含路径分隔符\n if '/' in filename or '\\\\' in filename:\n return False\n # 不允许 .. 路径遍历\n if '..' in filename:\n return False\n # 必须是已知的日志文件类型\n return self._categorize_file(filename) is not None\n\n def get_log_files(self) -> list[LogFileInfo]:\n \"\"\"\n 获取所有可用的日志文件列表\n \n Returns:\n 日志文件信息列表，按分类和文件名排序\n \"\"\"\n files: list[LogFileInfo] = []\n \n if not os.path.isdir(self.log_dir):\n logger.warning(\"日志目录不存在: %s\", self.log_dir)\n return files\n \n for filename in os.listdir(self.log_dir):\n filepath = os.path.join(self.log_dir, filename)\n \n # 只处理文件，跳过目录\n if not os.path.isfile(filepath):\n continue\n \n # 判断分类\n category = self._categorize_file(filename)\n if category is None:\n continue\n \n # 获取文件信息\n try:\n stat = os.stat(filepath)\n modified_at = datetime.fromtimestamp(\n stat.st_mtime, tz=timezone.utc\n ).isoformat()\n \n files.append({\n 'filename': filename,\n 'category': category,\n 'size': stat.st_size,\n 'modifiedAt': modified_at,\n })\n except OSError as e:\n logger.warning(\"获取文件信息失败 %s: %s\", filepath, e)\n continue\n \n # 排序：按分类优先级（system > error > performance > container），然后按文件名\n category_order = {'system': 0, 'error': 1, 'performance': 2, 'container': 3}\n files.sort(key=lambda f: (category_order.get(f['category'], 99), f['filename']))\n \n return files\n\n def get_logs_content(self, filename: str | None = None, lines: int | None = None) -> str:\n \"\"\"\n 获取系统日志内容\n \n Args:\n filename: 日志文件名，默认为 xingrin.log\n lines: 返回的日志行数，默认 200 行，最大 10000 行\n \n Returns:\n str: 日志内容，每行以换行符分隔，保持原始顺序\n \n Raises:\n ValueError: 文件名不合法\n FileNotFoundError: 日志文件不存在\n \"\"\"\n # 文件名处理\n if filename is None:\n filename = self.default_file\n \n # 验证文件名\n if not self._validate_filename(filename):\n raise ValueError(f\"无效的文件名: {filename}\")\n \n # 构建完整路径\n log_file = os.path.join(self.log_dir, filename)\n \n # 检查文件是否存在\n if not os.path.isfile(log_file):\n raise FileNotFoundError(f\"日志文件不存在: {filename}\")\n \n # 参数校验和默认值处理\n if lines is None:\n lines = self.default_lines\n\n lines = int(lines)\n if lines < 1:\n lines = 1\n if lines > self.max_lines:\n lines = self.max_lines\n\n # 使用 tail 命令读取日志文件末尾内容\n cmd = [\"tail\", \"-n\", str(lines), log_file]\n\n result = subprocess.run(\n cmd,\n capture_output=True,\n text=True,\n timeout=self.timeout_seconds,\n check=False,\n )\n\n if result.returncode != 0:\n logger.warning(\n \"tail command failed: returncode=%s stderr=%s\",\n result.returncode,\n (result.stderr or \"\").strip(),\n )\n\n # 直接返回原始内容，保持文件中的顺序\n return result.stdout or \"\"\n" }, { "path": "backend/apps/common/signals.py", "content": "\"\"\"通用信号定义\n\n定义项目中使用的自定义信号，用于解耦各模块之间的通信。\n\n使用方式：\n1. 发布信号：signal.send(sender=SomeClass, **kwargs)\n2. 接收信号：@receiver(signal) def handler(sender, **kwargs): ...\n\"\"\"\n\nfrom django.dispatch import Signal\n\n\n# ==================== 漏洞相关信号 ====================\n\n# 漏洞保存完成信号\n# 参数：\n# - items: List[VulnerabilitySnapshotDTO] 保存的漏洞列表\n# - scan_id: int 扫描任务ID\n# - target_id: int 目标ID\nvulnerabilities_saved = Signal()\n\n\n# ==================== Worker 相关信号 ====================\n\n# Worker 删除失败信号（只在失败时发送）\n# 参数：\n# - worker_name: str Worker 名称\n# - message: str 失败原因\nworker_delete_failed = Signal()\n\n# 所有 Worker 高负载信号\n# 参数：\n# - worker_name: str 被选中的 Worker 名称\n# - cpu: float CPU 使用率\n# - mem: float 内存使用率\nall_workers_high_load = Signal()\n" }, { "path": "backend/apps/common/urls.py", "content": "\"\"\"\n通用模块 URL 配置\n\n路由说明：\n- /api/health/ 健康检查接口（无需认证）\n- /api/auth/* 认证相关接口（登录、登出、用户信息）\n- /api/system/* 系统管理接口（日志查看等）\n- /api/blacklist/* 黑名单管理接口\n\"\"\"\n\nfrom django.urls import path\n\nfrom .views import (\n LoginView, LogoutView, MeView, ChangePasswordView,\n SystemLogsView, SystemLogFilesView, HealthCheckView,\n GlobalBlacklistView,\n VersionView, CheckUpdateView,\n)\n\nurlpatterns = [\n # 健康检查（无需认证）\n path('health/', HealthCheckView.as_view(), name='health-check'),\n \n # 认证相关\n path('auth/login/', LoginView.as_view(), name='auth-login'),\n path('auth/logout/', LogoutView.as_view(), name='auth-logout'),\n path('auth/me/', MeView.as_view(), name='auth-me'),\n path('auth/change-password/', ChangePasswordView.as_view(), name='auth-change-password'),\n \n # 系统管理\n path('system/logs/', SystemLogsView.as_view(), name='system-logs'),\n path('system/logs/files/', SystemLogFilesView.as_view(), name='system-log-files'),\n path('system/version/', VersionView.as_view(), name='system-version'),\n path('system/check-update/', CheckUpdateView.as_view(), name='system-check-update'),\n \n # 黑名单管理（PUT 全量替换模式）\n path('blacklist/rules/', GlobalBlacklistView.as_view(), name='blacklist-rules'),\n]\n" }, { "path": "backend/apps/common/utils/__init__.py", "content": "\"\"\"Common utilities\"\"\"\n\nfrom .dedup import deduplicate_for_bulk, get_unique_fields\nfrom .hash import (\n calc_file_sha256,\n calc_stream_sha256,\n safe_calc_file_sha256,\n is_file_hash_match,\n)\nfrom .csv_utils import (\n generate_csv_rows,\n format_list_field,\n format_datetime,\n create_csv_export_response,\n UTF8_BOM,\n)\nfrom .blacklist_filter import (\n BlacklistFilter,\n detect_rule_type,\n extract_host,\n)\n\n__all__ = [\n 'deduplicate_for_bulk',\n 'get_unique_fields',\n 'calc_file_sha256',\n 'calc_stream_sha256',\n 'safe_calc_file_sha256',\n 'is_file_hash_match',\n 'generate_csv_rows',\n 'format_list_field',\n 'format_datetime',\n 'create_csv_export_response',\n 'UTF8_BOM',\n 'BlacklistFilter',\n 'detect_rule_type',\n 'extract_host',\n]\n" }, { "path": "backend/apps/common/utils/blacklist_filter.py", "content": "\"\"\"\n黑名单过滤工具\n\n提供域名、IP、CIDR、关键词的黑名单匹配功能。\n纯工具类，不涉及数据库操作。\n\n支持的规则类型：\n 1. 域名精确匹配: example.com\n - 规则: example.com\n - 匹配: example.com\n - 不匹配: sub.example.com, other.com\n \n 2. 域名后缀匹配: *.example.com\n - 规则: *.example.com\n - 匹配: sub.example.com, a.b.example.com, example.com\n - 不匹配: other.com, example.com.cn\n \n 3. 关键词匹配: *cdn*\n - 规则: *cdn*\n - 匹配: cdn.example.com, a.cdn.b.com, mycdn123.com\n - 不匹配: example.com (不包含 cdn)\n \n 4. IP 精确匹配: 192.168.1.1\n - 规则: 192.168.1.1\n - 匹配: 192.168.1.1\n - 不匹配: 192.168.1.2\n \n 5. CIDR 范围匹配: 192.168.0.0/24\n - 规则: 192.168.0.0/24\n - 匹配: 192.168.0.1, 192.168.0.255\n - 不匹配: 192.168.1.1\n\n使用方式：\n from apps.common.utils import BlacklistFilter\n \n # 创建过滤器（传入规则列表）\n rules = BlacklistRule.objects.filter(...)\n filter = BlacklistFilter(rules)\n \n # 检查单个目标\n if filter.is_allowed('http://example.com'):\n process(url)\n \n # 流式处理\n for url in urls:\n if filter.is_allowed(url):\n process(url)\n\"\"\"\n\nimport ipaddress\nimport logging\nfrom typing import List, Optional\nfrom urllib.parse import urlparse\n\nfrom apps.common.validators import is_valid_ip, validate_cidr\n\nlogger = logging.getLogger(__name__)\n\n\ndef detect_rule_type(pattern: str) -> str:\n \"\"\"\n 自动识别规则类型\n \n 支持的模式：\n - 域名精确匹配: example.com\n - 域名后缀匹配: *.example.com\n - 关键词匹配: *cdn* (匹配包含 cdn 的域名)\n - IP 精确匹配: 192.168.1.1\n - CIDR 范围: 192.168.0.0/24\n \n Args:\n pattern: 规则模式字符串\n \n Returns:\n str: 规则类型 ('domain', 'ip', 'cidr', 'keyword')\n \"\"\"\n if not pattern:\n return 'domain'\n \n pattern = pattern.strip()\n \n # 检查关键词模式: *keyword* (前后都有星号，中间无点)\n if pattern.startswith('*') and pattern.endswith('*') and len(pattern) > 2:\n keyword = pattern[1:-1]\n # 关键词中不能有点（否则可能是域名模式）\n if '.' not in keyword:\n return 'keyword'\n \n # 检查 CIDR（包含 /）\n if '/' in pattern:\n try:\n validate_cidr(pattern)\n return 'cidr'\n except ValueError:\n pass\n \n # 检查 IP（去掉通配符前缀后验证）\n clean_pattern = pattern.lstrip('*').lstrip('.')\n if is_valid_ip(clean_pattern):\n return 'ip'\n \n # 默认为域名\n return 'domain'\n\n\ndef extract_host(target: str) -> str:\n \"\"\"\n 从目标字符串中提取主机名\n \n 支持：\n - 纯域名：example.com\n - 纯 IP：192.168.1.1\n - URL：http://example.com/path\n \n Args:\n target: 目标字符串\n \n Returns:\n str: 提取的主机名\n \"\"\"\n if not target:\n return ''\n \n target = target.strip()\n \n # 如果是 URL，提取 hostname\n if '://' in target:\n try:\n parsed = urlparse(target)\n return parsed.hostname or target\n except Exception:\n return target\n \n return target\n\n\nclass BlacklistFilter:\n \"\"\"\n 黑名单过滤器\n \n 预编译规则，提供高效的匹配功能。\n \"\"\"\n \n def __init__(self, rules: List):\n \"\"\"\n 初始化过滤器\n \n Args:\n rules: BlacklistRule 对象列表\n \"\"\"\n from apps.common.models import BlacklistRule\n \n # 预解析：按类型分类 + CIDR 预编译\n self._domain_rules = [] # (pattern, is_wildcard, suffix)\n self._ip_rules = set() # 精确 IP 用 set，O(1) 查找\n self._cidr_rules = [] # (pattern, network_obj)\n self._keyword_rules = [] # 关键词列表（小写）\n \n # 去重：跨 scope 可能有重复规则\n seen_patterns = set()\n \n for rule in rules:\n if rule.pattern in seen_patterns:\n continue\n seen_patterns.add(rule.pattern)\n if rule.rule_type == BlacklistRule.RuleType.DOMAIN:\n pattern = rule.pattern.lower()\n if pattern.startswith('*.'):\n self._domain_rules.append((pattern, True, pattern[1:]))\n else:\n self._domain_rules.append((pattern, False, None))\n elif rule.rule_type == BlacklistRule.RuleType.IP:\n self._ip_rules.add(rule.pattern)\n elif rule.rule_type == BlacklistRule.RuleType.CIDR:\n try:\n network = ipaddress.ip_network(rule.pattern, strict=False)\n self._cidr_rules.append((rule.pattern, network))\n except ValueError:\n pass\n elif rule.rule_type == BlacklistRule.RuleType.KEYWORD:\n # *cdn* -> cdn\n keyword = rule.pattern[1:-1].lower()\n self._keyword_rules.append(keyword)\n \n def is_allowed(self, target: str) -> bool:\n \"\"\"\n 检查目标是否通过过滤\n \n Args:\n target: 要检查的目标（域名/IP/URL）\n \n Returns:\n bool: True 表示通过（不在黑名单），False 表示被过滤\n \"\"\"\n if not target:\n return True\n \n host = extract_host(target)\n if not host:\n return True\n \n # 先判断输入类型，再走对应分支\n if is_valid_ip(host):\n return self._check_ip_rules(host)\n else:\n return self._check_domain_rules(host)\n \n def _check_domain_rules(self, host: str) -> bool:\n \"\"\"检查域名规则（精确匹配 + 后缀匹配 + 关键词匹配）\"\"\"\n host_lower = host.lower()\n \n # 1. 域名规则（精确 + 后缀）\n for pattern, is_wildcard, suffix in self._domain_rules:\n if is_wildcard:\n if host_lower.endswith(suffix) or host_lower == pattern[2:]:\n return False\n else:\n if host_lower == pattern:\n return False\n \n # 2. 关键词匹配（字符串 in 操作，O(n*m)）\n for keyword in self._keyword_rules:\n if keyword in host_lower:\n return False\n \n return True\n \n def _check_ip_rules(self, host: str) -> bool:\n \"\"\"检查 IP 规则（精确匹配 + CIDR）\"\"\"\n # 1. IP 精确匹配（O(1)）\n if host in self._ip_rules:\n return False\n \n # 2. CIDR 匹配\n if self._cidr_rules:\n try:\n ip_obj = ipaddress.ip_address(host)\n for _, network in self._cidr_rules:\n if ip_obj in network:\n return False\n except ValueError:\n pass\n \n return True\n \n\n" }, { "path": "backend/apps/common/utils/csv_utils.py", "content": "\"\"\"CSV 导出工具模块\n\n提供流式 CSV 生成功能，支持：\n- UTF-8 BOM（Excel 兼容）\n- RFC 4180 规范转义\n- 流式生成（内存友好）\n- 带 Content-Length 的文件响应（支持浏览器下载进度显示）\n\"\"\"\n\nimport csv\nimport io\nimport os\nimport tempfile\nimport logging\nfrom datetime import datetime\nfrom typing import Iterator, Dict, Any, List, Callable, Optional\n\nfrom django.http import FileResponse, StreamingHttpResponse\n\nlogger = logging.getLogger(__name__)\n\n# UTF-8 BOM，确保 Excel 正确识别编码\nUTF8_BOM = '\\ufeff'\n\n\ndef generate_csv_rows(\n data_iterator: Iterator[Dict[str, Any]],\n headers: List[str],\n field_formatters: Optional[Dict[str, Callable]] = None\n) -> Iterator[str]:\n \"\"\"\n 流式生成 CSV 行\n \n Args:\n data_iterator: 数据迭代器，每个元素是一个字典\n headers: CSV 表头列表\n field_formatters: 字段格式化函数字典，key 为字段名，value 为格式化函数\n \n Yields:\n CSV 行字符串（包含换行符）\n \n Example:\n >>> data = [{'ip': '192.168.1.1', 'hosts': ['a.com', 'b.com']}]\n >>> headers = ['ip', 'hosts']\n >>> formatters = {'hosts': format_list_field}\n >>> for row in generate_csv_rows(iter(data), headers, formatters):\n ... print(row, end='')\n \"\"\"\n # 输出 BOM + 表头\n output = io.StringIO()\n writer = csv.writer(output, quoting=csv.QUOTE_MINIMAL)\n writer.writerow(headers)\n yield UTF8_BOM + output.getvalue()\n \n # 输出数据行\n for row_data in data_iterator:\n output = io.StringIO()\n writer = csv.writer(output, quoting=csv.QUOTE_MINIMAL)\n \n row = []\n for header in headers:\n value = row_data.get(header, '')\n if field_formatters and header in field_formatters:\n value = field_formatters[header](value)\n row.append(value if value is not None else '')\n \n writer.writerow(row)\n yield output.getvalue()\n\n\ndef format_list_field(values: List, separator: str = ';') -> str:\n \"\"\"\n 将列表字段格式化为分号分隔的字符串\n \n Args:\n values: 值列表\n separator: 分隔符，默认为分号\n \n Returns:\n 分隔符连接的字符串\n \n Example:\n >>> format_list_field(['a.com', 'b.com'])\n 'a.com;b.com'\n >>> format_list_field([80, 443])\n '80;443'\n >>> format_list_field([])\n ''\n >>> format_list_field(None)\n ''\n \"\"\"\n if not values:\n return ''\n return separator.join(str(v) for v in values)\n\n\ndef format_datetime(dt: Optional[datetime]) -> str:\n \"\"\"\n 格式化日期时间为字符串（转换为本地时区）\n \n Args:\n dt: datetime 对象或 None\n \n Returns:\n 格式化的日期时间字符串，格式为 YYYY-MM-DD HH:MM:SS（本地时区）\n \n Example:\n >>> from datetime import datetime\n >>> format_datetime(datetime(2024, 1, 15, 10, 30, 0))\n '2024-01-15 10:30:00'\n >>> format_datetime(None)\n ''\n \"\"\"\n if dt is None:\n return ''\n if isinstance(dt, str):\n return dt\n \n # 转换为本地时区（从 Django settings 获取）\n from django.utils import timezone\n if timezone.is_aware(dt):\n dt = timezone.localtime(dt)\n \n return dt.strftime('%Y-%m-%d %H:%M:%S')\n\n\ndef create_csv_export_response(\n data_iterator: Iterator[Dict[str, Any]],\n headers: List[str],\n filename: str,\n field_formatters: Optional[Dict[str, Callable]] = None,\n show_progress: bool = True\n) -> FileResponse | StreamingHttpResponse:\n \"\"\"\n 创建 CSV 导出响应\n \n 根据 show_progress 参数选择响应类型：\n - True: 使用临时文件 + FileResponse，带 Content-Length（浏览器显示下载进度）\n - False: 使用 StreamingHttpResponse（内存更友好，但无下载进度）\n \n Args:\n data_iterator: 数据迭代器，每个元素是一个字典\n headers: CSV 表头列表\n filename: 下载文件名（如 \"export_2024.csv\"）\n field_formatters: 字段格式化函数字典\n show_progress: 是否显示下载进度（默认 True）\n \n Returns:\n FileResponse 或 StreamingHttpResponse\n \n Example:\n >>> data_iter = service.iter_data()\n >>> headers = ['url', 'host', 'created_at']\n >>> formatters = {'created_at': format_datetime}\n >>> response = create_csv_export_response(\n ... data_iter, headers, 'websites.csv', formatters\n ... )\n >>> return response\n \"\"\"\n if show_progress:\n return _create_file_response(data_iterator, headers, filename, field_formatters)\n else:\n return _create_streaming_response(data_iterator, headers, filename, field_formatters)\n\n\ndef _create_file_response(\n data_iterator: Iterator[Dict[str, Any]],\n headers: List[str],\n filename: str,\n field_formatters: Optional[Dict[str, Callable]] = None\n) -> FileResponse:\n \"\"\"\n 创建带 Content-Length 的文件响应（支持浏览器下载进度）\n \n 实现方式：先写入临时文件，再返回 FileResponse\n \"\"\"\n # 创建临时文件\n temp_file = tempfile.NamedTemporaryFile(\n mode='w', \n suffix='.csv', \n delete=False, \n encoding='utf-8'\n )\n temp_path = temp_file.name\n \n try:\n # 流式写入 CSV 数据到临时文件\n for row in generate_csv_rows(data_iterator, headers, field_formatters):\n temp_file.write(row)\n temp_file.close()\n \n # 获取文件大小\n file_size = os.path.getsize(temp_path)\n \n # 创建文件响应\n response = FileResponse(\n open(temp_path, 'rb'),\n content_type='text/csv; charset=utf-8',\n as_attachment=True,\n filename=filename\n )\n response['Content-Length'] = file_size\n \n # 设置清理回调：响应完成后删除临时文件\n original_close = response.file_to_stream.close\n def close_and_cleanup():\n original_close()\n try:\n os.unlink(temp_path)\n except OSError:\n pass\n response.file_to_stream.close = close_and_cleanup\n \n return response\n \n except Exception as e:\n # 清理临时文件\n try:\n temp_file.close()\n except:\n pass\n try:\n os.unlink(temp_path)\n except OSError:\n pass\n logger.error(f\"创建 CSV 导出响应失败: {e}\")\n raise\n\n\ndef _create_streaming_response(\n data_iterator: Iterator[Dict[str, Any]],\n headers: List[str],\n filename: str,\n field_formatters: Optional[Dict[str, Callable]] = None\n) -> StreamingHttpResponse:\n \"\"\"\n 创建流式响应（无 Content-Length，内存更友好）\n \"\"\"\n response = StreamingHttpResponse(\n generate_csv_rows(data_iterator, headers, field_formatters),\n content_type='text/csv; charset=utf-8'\n )\n response['Content-Disposition'] = f'attachment; filename=\"{filename}\"'\n return response\n" }, { "path": "backend/apps/common/utils/dedup.py", "content": "\"\"\"\n批量数据去重工具\n\n用于 bulk_create 前的批次内去重，避免 PostgreSQL ON CONFLICT 错误。\n自动从 Django 模型读取唯一约束字段，无需手动指定。\n\"\"\"\n\nimport logging\nfrom typing import List, TypeVar, Tuple, Optional\n\nfrom django.db import models\n\nlogger = logging.getLogger(__name__)\n\nT = TypeVar('T')\n\n\ndef get_unique_fields(model: type[models.Model]) -> Optional[Tuple[str, ...]]:\n \"\"\"\n 从 Django 模型获取唯一约束字段\n \n 按优先级查找：\n 1. Meta.constraints 中的 UniqueConstraint\n 2. Meta.unique_together\n \n Args:\n model: Django 模型类\n \n Returns:\n 唯一约束字段元组，如果没有则返回 None\n \"\"\"\n meta = model._meta\n \n # 1. 优先查找 UniqueConstraint\n for constraint in getattr(meta, 'constraints', []):\n if isinstance(constraint, models.UniqueConstraint):\n # 跳过条件约束（partial unique）\n if getattr(constraint, 'condition', None) is None:\n return tuple(constraint.fields)\n \n # 2. 回退到 unique_together\n unique_together = getattr(meta, 'unique_together', None)\n if unique_together:\n # unique_together 可能是 (('a', 'b'),) 或 ('a', 'b')\n if unique_together and isinstance(unique_together[0], (list, tuple)):\n return tuple(unique_together[0])\n return tuple(unique_together)\n \n return None\n\n\ndef deduplicate_for_bulk(items: List[T], model: type[models.Model]) -> List[T]:\n \"\"\"\n 根据模型唯一约束对数据去重\n \n 自动从模型读取唯一约束字段，生成去重 key。\n 保留最后一条记录（后面的数据通常是更新的）。\n \n Args:\n items: 待去重的数据列表（DTO 或 Model 对象）\n model: Django 模型类（用于读取唯一约束）\n \n Returns:\n 去重后的数据列表\n \n Example:\n # 自动从 Endpoint 模型读取唯一约束 (url, target)\n unique_items = deduplicate_for_bulk(items, Endpoint)\n \"\"\"\n if not items:\n return items\n \n unique_fields = get_unique_fields(model)\n if unique_fields is None:\n # 模型没有唯一约束，无需去重\n logger.debug(f\"{model.__name__} 没有唯一约束，跳过去重\")\n return items\n \n # 处理外键字段名（target -> target_id）\n def make_key(item: T) -> tuple:\n key_parts = []\n for field in unique_fields:\n # 尝试 field_id（外键）和 field 两种形式\n value = getattr(item, f'{field}_id', None)\n if value is None:\n value = getattr(item, field, None)\n key_parts.append(value)\n return tuple(key_parts)\n \n # 使用字典去重，保留最后一条\n seen = {}\n for item in items:\n key = make_key(item)\n seen[key] = item\n \n unique_items = list(seen.values())\n \n if len(unique_items) < len(items):\n logger.debug(f\"{model.__name__} 去重: {len(items)} -> {len(unique_items)} 条\")\n \n return unique_items\n" }, { "path": "backend/apps/common/utils/filter_utils.py", "content": "\"\"\"智能过滤工具 - 通用查询语法解析和 Django ORM 查询构建\n\n支持的语法：\n- field=\"value\" 模糊匹配（包含）\n- field==\"value\" 精确匹配\n- field!=\"value\" 不等于\n\n逻辑运算符：\n- AND: && 或 and 或 空格（默认）\n- OR: || 或 or\n\n示例：\n type=\"xss\" || type=\"sqli\" # OR\n type=\"xss\" or type=\"sqli\" # OR（等价）\n severity=\"high\" && source=\"nuclei\" # AND\n severity=\"high\" source=\"nuclei\" # AND（空格默认为 AND）\n severity=\"high\" and source=\"nuclei\" # AND（等价）\n\n使用示例：\n from apps.common.utils.filter_utils import apply_filters\n \n field_mapping = {'ip': 'ip', 'port': 'port', 'host': 'host'}\n queryset = apply_filters(queryset, 'ip=\"192\" || port=\"80\"', field_mapping)\n\"\"\"\n\nimport re\nimport logging\nfrom dataclasses import dataclass\nfrom typing import List, Dict, Optional, Union\nfrom enum import Enum\n\nfrom django.db.models import QuerySet, Q, F, Func, CharField\nfrom django.db.models.functions import Cast\n\nlogger = logging.getLogger(__name__)\n\n\nclass ArrayToString(Func):\n \"\"\"PostgreSQL array_to_string 函数\"\"\"\n function = 'array_to_string'\n template = \"%(function)s(%(expressions)s, ',')\"\n output_field = CharField()\n\n\nclass LogicalOp(Enum):\n \"\"\"逻辑运算符\"\"\"\n AND = 'AND'\n OR = 'OR'\n\n\n@dataclass\nclass ParsedFilter:\n \"\"\"解析后的过滤条件\"\"\"\n field: str # 字段名\n operator: str # 操作符: '=', '==', '!='\n value: str # 原始值\n\n\n@dataclass\nclass FilterGroup:\n \"\"\"过滤条件组（带逻辑运算符）\"\"\"\n filter: ParsedFilter\n logical_op: LogicalOp # 与前一个条件的逻辑关系\n\n\nclass QueryParser:\n \"\"\"查询语法解析器\n \n 支持 ||/or (OR) 和 &&/and/空格 (AND) 逻辑运算符\n \"\"\"\n \n # 正则匹配: field=\"value\", field==\"value\", field!=\"value\"\n FILTER_PATTERN = re.compile(r'(\\w+)(==|!=|=)\"([^\"]*)\"')\n \n # 逻辑运算符模式（带空格）\n OR_PATTERN = re.compile(r'\\s*(\\|\\||(?<![a-zA-Z])or(?![a-zA-Z]))\\s*', re.IGNORECASE)\n AND_PATTERN = re.compile(r'\\s*(&&|(?<![a-zA-Z])and(?![a-zA-Z]))\\s*', re.IGNORECASE)\n \n @classmethod\n def parse(cls, query_string: str) -> List[FilterGroup]:\n \"\"\"解析查询语法字符串\n \n Args:\n query_string: 查询语法字符串\n \n Returns:\n 解析后的过滤条件组列表\n \n Examples:\n >>> QueryParser.parse('type=\"xss\" || type=\"sqli\"')\n [FilterGroup(filter=..., logical_op=AND), # 第一个默认 AND\n FilterGroup(filter=..., logical_op=OR)]\n \"\"\"\n if not query_string or not query_string.strip():\n return []\n \n # 第一步：提取所有过滤条件并用占位符替换，保护引号内的空格\n filters_found = []\n placeholder_pattern = '__FILTER_{}__'\n \n def replace_filter(match):\n idx = len(filters_found)\n filters_found.append(match.group(0))\n return placeholder_pattern.format(idx)\n \n # 先用正则提取所有 field=\"value\" 形式的条件\n protected = cls.FILTER_PATTERN.sub(replace_filter, query_string)\n \n # 标准化逻辑运算符\n # 先处理 || 和 or -> __OR__\n normalized = cls.OR_PATTERN.sub(' __OR__ ', protected)\n # 再处理 && 和 and -> __AND__\n normalized = cls.AND_PATTERN.sub(' __AND__ ', normalized)\n \n # 分词：按空格分割，保留逻辑运算符标记\n tokens = normalized.split()\n \n groups = []\n pending_op = LogicalOp.AND # 默认 AND\n \n for token in tokens:\n if token == '__OR__':\n pending_op = LogicalOp.OR\n elif token == '__AND__':\n pending_op = LogicalOp.AND\n elif token.startswith('__FILTER_') and token.endswith('__'):\n # 还原占位符为原始过滤条件\n try:\n idx = int(token[9:-2]) # 提取索引\n original_filter = filters_found[idx]\n match = cls.FILTER_PATTERN.match(original_filter)\n if match:\n field, operator, value = match.groups()\n groups.append(FilterGroup(\n filter=ParsedFilter(\n field=field.lower(),\n operator=operator,\n value=value\n ),\n logical_op=pending_op if groups else LogicalOp.AND\n ))\n pending_op = LogicalOp.AND # 重置为默认 AND\n except (ValueError, IndexError):\n pass\n # 其他 token 忽略（无效输入）\n \n return groups\n\n\nclass QueryBuilder:\n \"\"\"Django ORM 查询构建器\n \n 将解析后的过滤条件转换为 Django ORM 查询，支持 AND/OR 逻辑\n \"\"\"\n \n @classmethod\n def build_query(\n cls,\n queryset: QuerySet,\n filter_groups: List[FilterGroup],\n field_mapping: Dict[str, str],\n json_array_fields: List[str] = None\n ) -> QuerySet:\n \"\"\"构建 Django ORM 查询\n \n Args:\n queryset: Django QuerySet\n filter_groups: 解析后的过滤条件组列表\n field_mapping: 字段映射\n json_array_fields: JSON 数组字段列表（使用 __contains 查询）\n \n Returns:\n 过滤后的 QuerySet\n \"\"\"\n if not filter_groups:\n return queryset\n \n json_array_fields = json_array_fields or []\n \n # 收集需要 annotate 的数组模糊搜索字段\n array_fuzzy_fields = set()\n \n # 第一遍：检查是否有数组模糊匹配\n for group in filter_groups:\n f = group.filter\n db_field = field_mapping.get(f.field)\n if db_field and db_field in json_array_fields and f.operator == '=':\n array_fuzzy_fields.add(db_field)\n \n # 对数组模糊搜索字段做 annotate\n for field in array_fuzzy_fields:\n annotate_name = f'{field}_text'\n queryset = queryset.annotate(**{annotate_name: ArrayToString(F(field))})\n \n # 构建 Q 对象\n combined_q = None\n \n for group in filter_groups:\n f = group.filter\n \n # 字段映射\n db_field = field_mapping.get(f.field)\n if not db_field:\n logger.debug(f\"忽略未知字段: {f.field}\")\n continue\n \n # 判断是否为 JSON 数组字段\n is_json_array = db_field in json_array_fields\n \n # 构建单个条件的 Q 对象\n q = cls._build_single_q(db_field, f.operator, f.value, is_json_array)\n if q is None:\n continue\n \n # 组合 Q 对象\n if combined_q is None:\n combined_q = q\n elif group.logical_op == LogicalOp.OR:\n combined_q = combined_q | q\n else: # AND\n combined_q = combined_q & q\n \n if combined_q is not None:\n return queryset.filter(combined_q)\n return queryset\n \n @classmethod\n def _build_single_q(cls, field: str, operator: str, value: str, is_json_array: bool = False) -> Optional[Q]:\n \"\"\"构建单个条件的 Q 对象\"\"\"\n if is_json_array:\n if operator == '==':\n # 精确匹配：数组中包含完全等于 value 的元素\n return Q(**{f'{field}__contains': [value]})\n elif operator == '!=':\n # 不包含：数组中不包含完全等于 value 的元素\n return ~Q(**{f'{field}__contains': [value]})\n else: # '=' 模糊匹配\n # 使用 annotate 后的字段进行模糊搜索\n # 字段已在 build_query 中通过 ArrayToString 转换为文本\n annotate_name = f'{field}_text'\n return Q(**{f'{annotate_name}__icontains': value})\n \n if operator == '!=':\n return cls._build_not_equal_q(field, value)\n elif operator == '==':\n return cls._build_exact_q(field, value)\n else: # '='\n return cls._build_fuzzy_q(field, value)\n \n @classmethod\n def _try_convert_to_int(cls, value: str) -> Optional[int]:\n \"\"\"尝试将值转换为整数\"\"\"\n try:\n return int(value.strip())\n except (ValueError, TypeError):\n return None\n \n @classmethod\n def _build_fuzzy_q(cls, field: str, value: str) -> Q:\n \"\"\"模糊匹配: 包含\"\"\"\n return Q(**{f'{field}__icontains': value})\n \n @classmethod\n def _build_exact_q(cls, field: str, value: str) -> Q:\n \"\"\"精确匹配\"\"\"\n int_val = cls._try_convert_to_int(value)\n if int_val is not None:\n return Q(**{f'{field}__exact': int_val})\n return Q(**{f'{field}__exact': value})\n \n @classmethod\n def _build_not_equal_q(cls, field: str, value: str) -> Q:\n \"\"\"不等于\"\"\"\n int_val = cls._try_convert_to_int(value)\n if int_val is not None:\n return ~Q(**{f'{field}__exact': int_val})\n return ~Q(**{f'{field}__exact': value})\n\n\ndef apply_filters(\n queryset: QuerySet,\n query_string: str,\n field_mapping: Dict[str, str],\n json_array_fields: List[str] = None\n) -> QuerySet:\n \"\"\"应用过滤条件到 QuerySet\n \n Args:\n queryset: Django QuerySet\n query_string: 查询语法字符串\n field_mapping: 字段映射\n json_array_fields: JSON 数组字段列表（使用 __contains 查询）\n \n Returns:\n 过滤后的 QuerySet\n \n Examples:\n # OR 查询\n apply_filters(qs, 'type=\"xss\" || type=\"sqli\"', mapping)\n apply_filters(qs, 'type=\"xss\" or type=\"sqli\"', mapping)\n \n # AND 查询\n apply_filters(qs, 'severity=\"high\" && source=\"nuclei\"', mapping)\n apply_filters(qs, 'severity=\"high\" source=\"nuclei\"', mapping)\n \n # 混合查询\n apply_filters(qs, 'type=\"xss\" || type=\"sqli\" && severity=\"high\"', mapping)\n \n # JSON 数组字段查询\n apply_filters(qs, 'implies=\"PHP\"', mapping, json_array_fields=['implies'])\n \"\"\"\n if not query_string or not query_string.strip():\n return queryset\n \n try:\n filter_groups = QueryParser.parse(query_string)\n if not filter_groups:\n logger.debug(f\"未解析到有效过滤条件: {query_string}\")\n return queryset\n \n logger.debug(f\"解析过滤条件: {filter_groups}\")\n return QueryBuilder.build_query(\n queryset, \n filter_groups, \n field_mapping,\n json_array_fields=json_array_fields\n )\n \n except Exception as e:\n logger.warning(f\"过滤解析错误: {e}, query: {query_string}\")\n return queryset # 静默降级\n" }, { "path": "backend/apps/common/utils/hash.py", "content": "\"\"\"通用文件 hash 计算与校验工具\n\n提供 SHA-256 哈希计算和校验功能，用于：\n- 字典文件上传时计算 hash\n- Worker 侧本地缓存校验\n\"\"\"\n\nimport hashlib\nimport logging\nfrom typing import Optional, BinaryIO\n\nlogger = logging.getLogger(__name__)\n\n# 默认分块大小：64KB（兼顾内存和性能）\nDEFAULT_CHUNK_SIZE = 65536\n\n\ndef calc_file_sha256(file_path: str, chunk_size: int = DEFAULT_CHUNK_SIZE) -> str:\n \"\"\"计算文件的 SHA-256 哈希值\n\n Args:\n file_path: 文件绝对路径\n chunk_size: 分块读取大小（字节），默认 64KB\n\n Returns:\n str: SHA-256 十六进制字符串（64 字符）\n\n Raises:\n FileNotFoundError: 文件不存在\n OSError: 文件读取失败\n \"\"\"\n hasher = hashlib.sha256()\n with open(file_path, \"rb\") as f:\n for chunk in iter(lambda: f.read(chunk_size), b\"\"):\n hasher.update(chunk)\n return hasher.hexdigest()\n\n\ndef calc_stream_sha256(stream: BinaryIO, chunk_size: int = DEFAULT_CHUNK_SIZE) -> str:\n \"\"\"从二进制流计算 SHA-256（用于边写边算）\n\n Args:\n stream: 可读取的二进制流（如 UploadedFile.chunks()）\n chunk_size: 分块大小\n\n Returns:\n str: SHA-256 十六进制字符串\n \"\"\"\n hasher = hashlib.sha256()\n for chunk in iter(lambda: stream.read(chunk_size), b\"\"):\n hasher.update(chunk)\n return hasher.hexdigest()\n\n\ndef safe_calc_file_sha256(file_path: str) -> Optional[str]:\n \"\"\"安全计算文件 SHA-256（异常时返回 None）\n\n Args:\n file_path: 文件绝对路径\n\n Returns:\n str | None: SHA-256 十六进制字符串，或 None（文件不存在/读取失败）\n \"\"\"\n try:\n return calc_file_sha256(file_path)\n except FileNotFoundError:\n logger.warning(\"计算 hash 失败：文件不存在 - %s\", file_path)\n return None\n except OSError as exc:\n logger.warning(\"计算 hash 失败：读取错误 - %s: %s\", file_path, exc)\n return None\n\n\ndef is_file_hash_match(file_path: str, expected_hash: str) -> bool:\n \"\"\"校验文件 hash 是否与期望值匹配\n\n Args:\n file_path: 文件绝对路径\n expected_hash: 期望的 SHA-256 十六进制字符串\n\n Returns:\n bool: True 表示匹配，False 表示不匹配或计算失败\n \"\"\"\n if not expected_hash:\n # 期望值为空，视为\"无法校验\"，返回 False 让调用方决定是否重新下载\n return False\n\n actual_hash = safe_calc_file_sha256(file_path)\n if actual_hash is None:\n return False\n\n return actual_hash.lower() == expected_hash.lower()\n" }, { "path": "backend/apps/common/validators.py", "content": "\"\"\"域名、IP、端口、URL 和目标验证工具函数\"\"\"\nimport ipaddress\nimport logging\nfrom urllib.parse import urlparse\n\nimport validators\n\nlogger = logging.getLogger(__name__)\n\n\ndef validate_domain(domain: str) -> None:\n \"\"\"\n 验证域名格式（使用 validators 库）\n \n Args:\n domain: 域名字符串（应该已经规范化）\n \n Raises:\n ValueError: 域名格式无效\n \"\"\"\n if not domain:\n raise ValueError(\"域名不能为空\")\n \n # 使用 validators 库验证域名格式\n # 支持国际化域名（IDN）和各种边界情况\n if not validators.domain(domain):\n raise ValueError(f\"域名格式无效: {domain}\")\n\n\ndef is_valid_domain(domain: str) -> bool:\n \"\"\"\n 判断是否为有效域名（不抛异常）\n \n Args:\n domain: 域名字符串\n \n Returns:\n bool: 是否为有效域名\n \"\"\"\n if not domain or len(domain) > 253:\n return False\n return bool(validators.domain(domain))\n\n\ndef validate_ip(ip: str) -> None:\n \"\"\"\n 验证 IP 地址格式（支持 IPv4 和 IPv6）\n \n Args:\n ip: IP 地址字符串（应该已经规范化）\n \n Raises:\n ValueError: IP 地址格式无效\n \"\"\"\n if not ip:\n raise ValueError(\"IP 地址不能为空\")\n \n try:\n ipaddress.ip_address(ip)\n except ValueError:\n raise ValueError(f\"IP 地址格式无效: {ip}\")\n\n\ndef is_valid_ip(ip: str) -> bool:\n \"\"\"\n 判断是否为有效 IP 地址（不抛异常）\n \n Args:\n ip: IP 地址字符串\n \n Returns:\n bool: 是否为有效 IP 地址\n \"\"\"\n if not ip:\n return False\n try:\n ipaddress.ip_address(ip)\n return True\n except ValueError:\n return False\n\n\ndef validate_cidr(cidr: str) -> None:\n \"\"\"\n 验证 CIDR 格式（支持 IPv4 和 IPv6）\n \n Args:\n cidr: CIDR 字符串（应该已经规范化）\n \n Raises:\n ValueError: CIDR 格式无效\n \"\"\"\n if not cidr:\n raise ValueError(\"CIDR 不能为空\")\n \n try:\n ipaddress.ip_network(cidr, strict=False)\n except ValueError:\n raise ValueError(f\"CIDR 格式无效: {cidr}\")\n\n\ndef detect_target_type(name: str) -> str:\n \"\"\"\n 检测目标类型（不做规范化，只验证）\n \n Args:\n name: 目标名称（应该已经规范化）\n \n Returns:\n str: 目标类型 ('domain', 'ip', 'cidr') - 使用 Target.TargetType 枚举值\n \n Raises:\n ValueError: 如果无法识别目标类型\n \"\"\"\n # 在函数内部导入模型，避免 AppRegistryNotReady 错误\n from apps.targets.models import Target\n\n if not name:\n raise ValueError(\"目标名称不能为空\")\n \n # 检查是否是 CIDR 格式（包含 /）\n if '/' in name:\n validate_cidr(name)\n return Target.TargetType.CIDR\n \n # 检查是否是 IP 地址\n try:\n validate_ip(name)\n return Target.TargetType.IP\n except ValueError:\n pass\n \n # 检查是否是合法域名\n try:\n validate_domain(name)\n return Target.TargetType.DOMAIN\n except ValueError:\n pass\n \n # 无法识别的格式\n raise ValueError(f\"无法识别的目标格式: {name}，必须是域名、IP地址或CIDR范围\")\n\n\ndef validate_port(port: any) -> tuple[bool, int | None]:\n \"\"\"\n 验证并转换端口号\n \n Args:\n port: 待验证的端口号（可能是字符串、整数或其他类型）\n \n Returns:\n tuple: (is_valid, port_number)\n - is_valid: 端口是否有效\n - port_number: 有效时为整数端口号，无效时为 None\n \n 验证规则：\n 1. 必须能转换为整数\n 2. 必须在 1-65535 范围内\n \n 示例：\n >>> is_valid, port_num = validate_port(8080)\n >>> is_valid, port_num\n (True, 8080)\n \n >>> is_valid, port_num = validate_port(\"invalid\")\n >>> is_valid, port_num\n (False, None)\n \"\"\"\n try:\n port_num = int(port)\n if 1 <= port_num <= 65535:\n return True, port_num\n else:\n logger.warning(\"端口号超出有效范围 (1-65535): %d\", port_num)\n return False, None\n except (ValueError, TypeError):\n logger.warning(\"端口号格式错误，无法转换为整数: %s\", port)\n return False, None\n\n\n# ==================== URL 验证函数 ====================\n\ndef validate_url(url: str) -> None:\n \"\"\"\n 验证 URL 格式，必须包含 scheme（http:// 或 https://）\n \n Args:\n url: URL 字符串\n \n Raises:\n ValueError: URL 格式无效或缺少 scheme\n \"\"\"\n if not url:\n raise ValueError(\"URL 不能为空\")\n \n # 检查是否包含 scheme\n if not url.startswith('http://') and not url.startswith('https://'):\n raise ValueError(\"URL 必须包含协议（http:// 或 https://）\")\n \n try:\n parsed = urlparse(url)\n if not parsed.hostname:\n raise ValueError(\"URL 必须包含主机名\")\n except Exception:\n raise ValueError(f\"URL 格式无效: {url}\")\n\n\ndef is_valid_url(url: str, max_length: int = 2000) -> bool:\n \"\"\"\n 判断是否为有效 URL（不抛异常）\n \n Args:\n url: URL 字符串\n max_length: URL 最大长度，默认 2000\n \n Returns:\n bool: 是否为有效 URL\n \"\"\"\n if not url or len(url) > max_length:\n return False\n try:\n validate_url(url)\n return True\n except ValueError:\n return False\n\n\ndef is_url_match_target(url: str, target_name: str, target_type: str) -> bool:\n \"\"\"\n 判断 URL 是否匹配目标\n \n Args:\n url: URL 字符串\n target_name: 目标名称（域名、IP 或 CIDR）\n target_type: 目标类型 ('domain', 'ip', 'cidr')\n \n Returns:\n bool: 是否匹配\n \"\"\"\n try:\n parsed = urlparse(url)\n hostname = parsed.hostname\n if not hostname:\n return False\n \n hostname = hostname.lower()\n target_name = target_name.lower()\n \n if target_type == 'domain':\n # 域名类型：hostname 等于 target_name 或以 .target_name 结尾\n return hostname == target_name or hostname.endswith('.' + target_name)\n \n elif target_type == 'ip':\n # IP 类型：hostname 必须完全等于 target_name\n return hostname == target_name\n \n elif target_type == 'cidr':\n # CIDR 类型：hostname 必须是 IP 且在 CIDR 范围内\n try:\n ip = ipaddress.ip_address(hostname)\n network = ipaddress.ip_network(target_name, strict=False)\n return ip in network\n except ValueError:\n # hostname 不是有效 IP\n return False\n \n return False\n except Exception:\n return False\n\n\ndef detect_input_type(input_str: str) -> str:\n \"\"\"\n 检测输入类型（用于快速扫描输入解析）\n \n Args:\n input_str: 输入字符串（应该已经 strip）\n \n Returns:\n str: 输入类型 ('url', 'domain', 'ip', 'cidr')\n \"\"\"\n if not input_str:\n raise ValueError(\"输入不能为空\")\n \n # 1. 包含 :// 一定是 URL\n if '://' in input_str:\n return 'url'\n \n # 2. 包含 / 需要判断是 CIDR 还是 URL（缺少 scheme）\n if '/' in input_str:\n # CIDR 格式: IP/prefix，如 10.0.0.0/8\n parts = input_str.split('/')\n if len(parts) == 2:\n ip_part, prefix_part = parts\n # 如果斜杠后是纯数字且在 0-32 范围内，检查是否是 CIDR\n if prefix_part.isdigit() and 0 <= int(prefix_part) <= 32:\n ip_parts = ip_part.split('.')\n if len(ip_parts) == 4 and all(p.isdigit() for p in ip_parts):\n return 'cidr'\n # 不是 CIDR，视为 URL（缺少 scheme，后续验证会报错）\n return 'url'\n \n # 3. 检查是否是 IP 地址\n try:\n ipaddress.ip_address(input_str)\n return 'ip'\n except ValueError:\n pass\n \n # 4. 默认为域名\n return 'domain'\n" }, { "path": "backend/apps/common/views/__init__.py", "content": "\"\"\"\n通用模块视图导出\n\n包含：\n- 健康检查视图：Docker 健康检查\n- 认证相关视图：登录、登出、用户信息、修改密码\n- 系统日志视图：实时日志查看\n- 黑名单视图：全局黑名单规则管理\n- 版本视图：系统版本和更新检查\n\"\"\"\n\nfrom .health_views import HealthCheckView\nfrom .auth_views import LoginView, LogoutView, MeView, ChangePasswordView\nfrom .system_log_views import SystemLogsView, SystemLogFilesView\nfrom .blacklist_views import GlobalBlacklistView\nfrom .version_views import VersionView, CheckUpdateView\n\n__all__ = [\n 'HealthCheckView',\n 'LoginView', 'LogoutView', 'MeView', 'ChangePasswordView',\n 'SystemLogsView', 'SystemLogFilesView',\n 'GlobalBlacklistView',\n 'VersionView', 'CheckUpdateView',\n]\n" }, { "path": "backend/apps/common/views/auth_views.py", "content": "\"\"\"\n认证相关视图\n使用 Django 内置认证系统，支持 Session 认证\n\"\"\"\nimport logging\nfrom django.contrib.auth import authenticate, login, logout, update_session_auth_hash\nfrom django.views.decorators.csrf import csrf_exempt\nfrom django.utils.decorators import method_decorator\nfrom rest_framework import status\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\nfrom rest_framework.permissions import AllowAny\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\n\nlogger = logging.getLogger(__name__)\n\n\n@method_decorator(csrf_exempt, name='dispatch')\nclass LoginView(APIView):\n \"\"\"\n 用户登录\n POST /api/auth/login/\n \"\"\"\n authentication_classes = [] # 禁用认证（绕过 CSRF）\n permission_classes = [AllowAny]\n \n def post(self, request):\n username = request.data.get('username')\n password = request.data.get('password')\n \n if not username or not password:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Username and password are required',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n user = authenticate(request, username=username, password=password)\n \n if user is not None:\n login(request, user)\n logger.info(f\"用户 {username} 登录成功\")\n return success_response(\n data={\n 'user': {\n 'id': user.id,\n 'username': user.username,\n 'isStaff': user.is_staff,\n 'isSuperuser': user.is_superuser,\n }\n }\n )\n else:\n logger.warning(f\"用户 {username} 登录失败：用户名或密码错误\")\n return error_response(\n code=ErrorCodes.UNAUTHORIZED,\n message='Invalid username or password',\n status_code=status.HTTP_401_UNAUTHORIZED\n )\n\n\n@method_decorator(csrf_exempt, name='dispatch')\nclass LogoutView(APIView):\n \"\"\"\n 用户登出\n POST /api/auth/logout/\n \"\"\"\n authentication_classes = [] # 禁用认证（绕过 CSRF）\n permission_classes = [AllowAny]\n \n def post(self, request):\n # 从 session 获取用户名用于日志\n user_id = request.session.get('_auth_user_id')\n if user_id:\n from django.contrib.auth import get_user_model\n User = get_user_model()\n try:\n user = User.objects.get(pk=user_id)\n username = user.username\n logout(request)\n logger.info(f\"用户 {username} 已登出\")\n except User.DoesNotExist:\n logout(request)\n else:\n logout(request)\n return success_response()\n\n\n@method_decorator(csrf_exempt, name='dispatch')\nclass MeView(APIView):\n \"\"\"\n 获取当前用户信息\n GET /api/auth/me/\n \"\"\"\n authentication_classes = [] # 禁用认证（绕过 CSRF）\n permission_classes = [AllowAny]\n \n def get(self, request):\n # 从 session 获取用户\n from django.contrib.auth import get_user_model\n User = get_user_model()\n \n user_id = request.session.get('_auth_user_id')\n if user_id:\n try:\n user = User.objects.get(pk=user_id)\n return success_response(\n data={\n 'authenticated': True,\n 'user': {\n 'id': user.id,\n 'username': user.username,\n 'isStaff': user.is_staff,\n 'isSuperuser': user.is_superuser,\n }\n }\n )\n except User.DoesNotExist:\n pass\n \n return success_response(\n data={\n 'authenticated': False,\n 'user': None\n }\n )\n\n\n@method_decorator(csrf_exempt, name='dispatch')\nclass ChangePasswordView(APIView):\n \"\"\"\n 修改密码\n POST /api/auth/change-password/\n \"\"\"\n \n def post(self, request):\n # 使用全局权限类验证，request.user 已经是认证用户\n user = request.user\n \n # CamelCaseParser 将 oldPassword -> old_password\n old_password = request.data.get('old_password')\n new_password = request.data.get('new_password')\n \n if not old_password or not new_password:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Old password and new password are required',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n if not user.check_password(old_password):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Old password is incorrect',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n user.set_password(new_password)\n user.save()\n \n # 更新 session，避免用户被登出\n update_session_auth_hash(request, user)\n \n logger.info(f\"用户 {user.username} 已修改密码\")\n return success_response()\n" }, { "path": "backend/apps/common/views/blacklist_views.py", "content": "\"\"\"全局黑名单 API 视图\"\"\"\nimport logging\n\nfrom rest_framework import status\nfrom rest_framework.views import APIView\nfrom rest_framework.permissions import IsAuthenticated\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.services import BlacklistService\n\nlogger = logging.getLogger(__name__)\n\n\nclass GlobalBlacklistView(APIView):\n \"\"\"\n 全局黑名单规则 API\n \n Endpoints:\n - GET /api/blacklist/rules/ - 获取全局黑名单列表\n - PUT /api/blacklist/rules/ - 全量替换规则（文本框保存场景）\n \n 设计说明：\n - 使用 PUT 全量替换模式，适合\"文本框每行一个规则\"的前端场景\n - 用户编辑文本框 -> 点击保存 -> 后端全量替换\n \n 架构：MVS 模式\n - View: 参数验证、响应格式化\n - Service: 业务逻辑（BlacklistService）\n - Model: 数据持久化（BlacklistRule）\n \"\"\"\n \n permission_classes = [IsAuthenticated]\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.blacklist_service = BlacklistService()\n \n def get(self, request):\n \"\"\"\n 获取全局黑名单规则列表\n \n 返回格式：\n {\n \"patterns\": [\"*.gov\", \"*.edu\", \"10.0.0.0/8\"]\n }\n \"\"\"\n rules = self.blacklist_service.get_global_rules()\n patterns = list(rules.values_list('pattern', flat=True))\n return success_response(data={'patterns': patterns})\n \n def put(self, request):\n \"\"\"\n 全量替换全局黑名单规则\n \n 请求格式：\n {\n \"patterns\": [\"*.gov\", \"*.edu\", \"10.0.0.0/8\"]\n }\n \n 或者空数组清空所有规则：\n {\n \"patterns\": []\n }\n \"\"\"\n patterns = request.data.get('patterns', [])\n \n # 兼容字符串输入（换行分隔）\n if isinstance(patterns, str):\n patterns = [p for p in patterns.split('\\n') if p.strip()]\n \n if not isinstance(patterns, list):\n return error_response(\n code='VALIDATION_ERROR',\n message='patterns 必须是数组'\n )\n \n # 调用 Service 层全量替换\n result = self.blacklist_service.replace_global_rules(patterns)\n \n return success_response(data=result)\n" }, { "path": "backend/apps/common/views/health_views.py", "content": "\"\"\"\n健康检查视图\n\n提供 Docker 健康检查端点，无需认证。\n\"\"\"\n\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\nfrom rest_framework.permissions import AllowAny\n\n\nclass HealthCheckView(APIView):\n \"\"\"\n 健康检查端点\n \n GET /api/health/\n \n 返回服务状态，用于 Docker 健康检查。\n 此端点无需认证。\n \"\"\"\n permission_classes = [AllowAny]\n \n def get(self, request):\n return Response({'status': 'ok'})\n" }, { "path": "backend/apps/common/views/system_log_views.py", "content": "\"\"\"\n系统日志视图模块\n\n提供系统日志的 REST API 接口，供前端实时查看系统运行日志。\n\"\"\"\n\nimport logging\n\nfrom django.utils.decorators import method_decorator\nfrom django.views.decorators.csrf import csrf_exempt\nfrom rest_framework import status\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.common.services.system_log_service import SystemLogService\n\n\nlogger = logging.getLogger(__name__)\n\n\n@method_decorator(csrf_exempt, name=\"dispatch\")\nclass SystemLogFilesView(APIView):\n \"\"\"\n 日志文件列表 API 视图\n \n GET /api/system/logs/files/\n 获取所有可用的日志文件列表\n \n Response:\n {\n \"files\": [\n {\n \"filename\": \"xingrin.log\",\n \"category\": \"system\",\n \"size\": 1048576,\n \"modifiedAt\": \"2025-01-15T10:30:00+00:00\"\n },\n ...\n ]\n }\n \"\"\"\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = SystemLogService()\n\n def get(self, request):\n \"\"\"获取日志文件列表\"\"\"\n try:\n files = self.service.get_log_files()\n return success_response(data={\"files\": files})\n except Exception:\n logger.exception(\"获取日志文件列表失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to get log files',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\n@method_decorator(csrf_exempt, name=\"dispatch\")\nclass SystemLogsView(APIView):\n \"\"\"\n 系统日志 API 视图\n \n GET /api/system/logs/\n 获取系统日志内容\n \n Query Parameters:\n file (str, optional): 日志文件名，默认 xingrin.log\n lines (int, optional): 返回的日志行数，默认 200，最大 10000\n \n Response:\n {\n \"content\": \"日志内容字符串...\"\n }\n \"\"\"\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.service = SystemLogService()\n\n def get(self, request):\n \"\"\"\n 获取系统日志\n \n 支持通过 file 和 lines 参数控制返回内容。\n \"\"\"\n try:\n # 解析参数\n filename = request.query_params.get(\"file\")\n lines_raw = request.query_params.get(\"lines\")\n lines = int(lines_raw) if lines_raw is not None else None\n\n # 调用服务获取日志内容\n content = self.service.get_logs_content(filename=filename, lines=lines)\n return success_response(data={\"content\": content})\n except ValueError as e:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(e) if 'file' in str(e).lower() else 'lines must be an integer',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n except FileNotFoundError as e:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message=str(e),\n status_code=status.HTTP_404_NOT_FOUND\n )\n except Exception:\n logger.exception(\"获取系统日志失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to get system logs',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n" }, { "path": "backend/apps/common/views/version_views.py", "content": "\"\"\"\n系统版本相关视图\n\"\"\"\n\nimport logging\nfrom pathlib import Path\n\nimport requests\nfrom rest_framework.request import Request\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\n\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.common.response_helpers import error_response, success_response\n\nlogger = logging.getLogger(__name__)\n\n# GitHub 仓库信息\nGITHUB_REPO = \"yyhuni/xingrin\"\nGITHUB_API_URL = f\"https://api.github.com/repos/{GITHUB_REPO}/releases/latest\"\nGITHUB_RELEASES_URL = f\"https://github.com/{GITHUB_REPO}/releases\"\n\n\ndef get_current_version() -> str:\n \"\"\"读取当前版本号\"\"\"\n import os\n\n # 方式1：从环境变量读取（Docker 容器中推荐）\n version = os.environ.get('IMAGE_TAG', '')\n if version:\n return version\n\n # 方式2：从文件读取（开发环境）\n possible_paths = [\n Path('/app/VERSION'),\n Path(__file__).parent.parent.parent.parent.parent / 'VERSION',\n ]\n\n for path in possible_paths:\n try:\n return path.read_text(encoding='utf-8').strip()\n except (FileNotFoundError, OSError):\n continue\n\n return \"unknown\"\n\n\ndef compare_versions(current: str, latest: str) -> bool:\n \"\"\"\n 比较版本号，判断是否有更新\n\n Returns:\n True 表示有更新可用\n \"\"\"\n def parse_version(v: str) -> tuple:\n v = v.lstrip('v')\n parts = v.split('.')\n result = []\n for part in parts:\n if '-' in part:\n num, _ = part.split('-', 1)\n result.append(int(num))\n else:\n result.append(int(part))\n return tuple(result)\n\n try:\n return parse_version(latest) > parse_version(current)\n except (ValueError, AttributeError):\n return False\n\n\nclass VersionView(APIView):\n \"\"\"获取当前系统版本\"\"\"\n\n def get(self, _request: Request) -> Response:\n \"\"\"获取当前版本信息\"\"\"\n return success_response(data={\n 'version': get_current_version(),\n 'github_repo': GITHUB_REPO,\n })\n\n\nclass CheckUpdateView(APIView):\n \"\"\"检查系统更新\"\"\"\n\n def get(self, _request: Request) -> Response:\n \"\"\"\n 检查是否有新版本\n\n Returns:\n - current_version: 当前版本\n - latest_version: 最新版本\n - has_update: 是否有更新\n - release_url: 发布页面 URL\n - release_notes: 更新说明（如果有）\n \"\"\"\n current_version = get_current_version()\n\n try:\n response = requests.get(\n GITHUB_API_URL,\n headers={'Accept': 'application/vnd.github.v3+json'},\n timeout=10\n )\n\n if response.status_code == 404:\n return success_response(data={\n 'current_version': current_version,\n 'latest_version': current_version,\n 'has_update': False,\n 'release_url': GITHUB_RELEASES_URL,\n 'release_notes': None,\n })\n\n response.raise_for_status()\n release_data = response.json()\n\n latest_version = release_data.get('tag_name', current_version)\n has_update = compare_versions(current_version, latest_version)\n\n return success_response(data={\n 'current_version': current_version,\n 'latest_version': latest_version,\n 'has_update': has_update,\n 'release_url': release_data.get('html_url', GITHUB_RELEASES_URL),\n 'release_notes': release_data.get('body'),\n 'published_at': release_data.get('published_at'),\n })\n\n except requests.RequestException as e:\n logger.warning(\"检查更新失败: %s\", e)\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message=\"无法连接到 GitHub，请稍后重试\",\n )\n" }, { "path": "backend/apps/common/websocket_auth.py", "content": "\"\"\"\nWebSocket 认证基类\n\n提供需要认证的 WebSocket Consumer 基类\n\"\"\"\n\nimport logging\nfrom channels.generic.websocket import AsyncWebsocketConsumer\n\nlogger = logging.getLogger(__name__)\n\n\nclass AuthenticatedWebsocketConsumer(AsyncWebsocketConsumer):\n \"\"\"\n 需要认证的 WebSocket Consumer 基类\n \n 子类应该重写 on_connect() 方法实现具体的连接逻辑\n \"\"\"\n \n async def connect(self):\n \"\"\"\n 连接时验证用户认证状态\n \n 未认证时使用 close(code=4001) 拒绝连接\n \"\"\"\n user = self.scope.get('user')\n \n if not user or not user.is_authenticated:\n logger.warning(\n f\"WebSocket 连接被拒绝：用户未认证 - Path: {self.scope.get('path')}\"\n )\n await self.close(code=4001)\n return\n \n # 调用子类的连接逻辑\n await self.on_connect()\n \n async def on_connect(self):\n \"\"\"\n 子类实现具体的连接逻辑\n \n 默认实现：接受连接\n \"\"\"\n await self.accept()\n" }, { "path": "backend/apps/engine/__init__.py", "content": "" }, { "path": "backend/apps/engine/apps.py", "content": "import os\nfrom django.apps import AppConfig\n\n\nclass EngineConfig(AppConfig):\n default_auto_field = 'django.db.models.BigAutoField'\n name = 'apps.engine'\n verbose_name = '扫描引擎'\n \n def ready(self):\n \"\"\"应用就绪时启动定时调度器\"\"\"\n # 只在主进程中启动调度器（避免 autoreload 重复启动）\n # 检查是否在 runserver 的 autoreload 子进程中\n if os.environ.get('RUN_MAIN') == 'true' or not self._is_runserver():\n # 只在 Server 容器中启动调度器（Worker 容器不需要）\n if not os.environ.get('SERVER_URL'): # Worker 容器有 SERVER_URL\n self._start_scheduler()\n \n def _is_runserver(self):\n \"\"\"检查是否通过 runserver 启动\"\"\"\n import sys\n return 'runserver' in sys.argv\n \n def _start_scheduler(self):\n \"\"\"启动调度器\"\"\"\n try:\n from apps.engine.scheduler import start_scheduler\n start_scheduler()\n except Exception as e:\n import logging\n logger = logging.getLogger(__name__)\n logger.warning(f\"调度器启动失败: {e}\")\n" }, { "path": "backend/apps/engine/consumers/__init__.py", "content": "\"\"\"\nEngine WebSocket Consumers\n\"\"\"\nfrom .worker_deploy_consumer import WorkerDeployConsumer\n\n__all__ = ['WorkerDeployConsumer']\n" }, { "path": "backend/apps/engine/consumers/worker_deploy_consumer.py", "content": "\"\"\"\nWebSocket Consumer - Worker 交互式终端 (使用 PTY)\n\"\"\"\n\nimport json\nimport logging\nimport asyncio\nimport os\nfrom asgiref.sync import sync_to_async\n\nfrom django.conf import settings\n\nfrom apps.common.websocket_auth import AuthenticatedWebsocketConsumer\nfrom apps.engine.services import WorkerService\n\nlogger = logging.getLogger(__name__)\n\n\nclass WorkerDeployConsumer(AuthenticatedWebsocketConsumer):\n \"\"\"\n Worker 交互式终端 WebSocket Consumer\n \n 使用 paramiko invoke_shell 实现真正的交互式终端\n \"\"\"\n \n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.ssh_client = None\n self.shell = None\n self.worker = None\n self.read_task = None\n self.worker_service = WorkerService()\n \n async def on_connect(self):\n \"\"\"连接时加入对应 Worker 的组并自动建立 SSH 连接（已通过认证）\"\"\"\n self.worker_id = self.scope['url_route']['kwargs']['worker_id']\n self.group_name = f'worker_deploy_{self.worker_id}'\n \n await self.channel_layer.group_add(self.group_name, self.channel_name)\n await self.accept()\n \n logger.info(f\"终端已连接 - Worker: {self.worker_id}\")\n \n # 自动建立 SSH 连接\n await self._auto_ssh_connect()\n \n async def disconnect(self, close_code):\n \"\"\"断开时清理资源\"\"\"\n if self.read_task:\n self.read_task.cancel()\n if self.shell:\n try:\n self.shell.close()\n except Exception:\n pass\n if self.ssh_client:\n try:\n self.ssh_client.close()\n except Exception:\n pass\n \n await self.channel_layer.group_discard(self.group_name, self.channel_name)\n logger.info(f\"终端已断开 - Worker: {self.worker_id}\")\n \n async def receive(self, text_data=None, bytes_data=None):\n \"\"\"接收客户端消息\"\"\"\n if bytes_data:\n # 二进制数据直接发送到 shell\n if self.shell:\n await asyncio.to_thread(self.shell.send, bytes_data)\n return\n \n if not text_data:\n return\n \n try:\n data = json.loads(text_data)\n msg_type = data.get('type')\n \n if msg_type == 'resize':\n cols = data.get('cols', 80)\n rows = data.get('rows', 24)\n if self.shell:\n await asyncio.to_thread(self.shell.resize_pty, cols, rows)\n \n elif msg_type == 'input':\n # 终端输入\n if self.shell:\n text = data.get('data', '')\n await asyncio.to_thread(self.shell.send, text)\n \n elif msg_type == 'deploy':\n # 执行部署脚本（后台运行）\n await self._run_deploy_script()\n \n elif msg_type == 'attach':\n # 查看部署进度（attach 到 tmux 会话）\n await self._attach_deploy_session()\n \n elif msg_type == 'uninstall':\n # 执行卸载脚本（后台运行）\n await self._run_uninstall_script()\n \n except json.JSONDecodeError:\n # 可能是普通文本输入\n if self.shell and text_data:\n await asyncio.to_thread(self.shell.send, text_data)\n except Exception as e:\n logger.error(f\"处理消息错误: {e}\")\n \n async def _auto_ssh_connect(self):\n \"\"\"自动从数据库读取密码并连接\"\"\"\n logger.info(f\"[SSH] 开始自动连接 - Worker ID: {self.worker_id}\")\n # 通过服务层获取 Worker 节点\n # thread_sensitive=False 确保在新线程中运行，避免数据库连接问题\n self.worker = await sync_to_async(self.worker_service.get_worker, thread_sensitive=False)(self.worker_id)\n logger.info(f\"[SSH] Worker 查询结果: {self.worker}\")\n\n if not self.worker:\n await self.send(text_data=json.dumps({\n 'type': 'error',\n 'message': 'Worker 不存在'\n }))\n return\n \n if not self.worker.password:\n await self.send(text_data=json.dumps({\n 'type': 'error',\n 'message': '未配置 SSH 密码，请先编辑节点信息'\n }))\n return\n \n # 使用默认终端大小\n await self._ssh_connect(self.worker.password, 80, 24)\n \n async def _ssh_connect(self, password: str, cols: int = 80, rows: int = 24):\n \"\"\"建立 SSH 连接并启动交互式 shell (使用 tmux 持久化会话)\"\"\"\n try:\n import paramiko\n except ImportError:\n await self.send(text_data=json.dumps({\n 'type': 'error', \n 'message': '服务器缺少 paramiko 库'\n }))\n return\n \n # self.worker 已在 _auto_ssh_connect 中查询\n try:\n ssh = paramiko.SSHClient()\n ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n \n await asyncio.to_thread(\n ssh.connect,\n self.worker.ip_address,\n port=self.worker.ssh_port,\n username=self.worker.username,\n password=password,\n timeout=30\n )\n \n self.ssh_client = ssh\n \n # 启动交互式 shell（连接时不做 tmux 安装，仅提供普通 shell）\n self.shell = await asyncio.to_thread(\n ssh.invoke_shell,\n term='xterm-256color',\n width=cols,\n height=rows\n )\n \n # 发送连接成功消息\n logger.info(f\"[SSH] 准备发送 connected 消息 - Worker: {self.worker_id}\")\n await self.send(text_data=json.dumps({\n 'type': 'connected'\n }))\n logger.info(f\"[SSH] connected 消息已发送 - Worker: {self.worker_id}\")\n \n # 启动读取任务\n self.read_task = asyncio.create_task(self._read_shell_output())\n \n logger.info(f\"[SSH] Shell 已连接，读取任务已启动 - Worker: {self.worker_id}\")\n \n except paramiko.AuthenticationException:\n logger.error(f\"[SSH] 认证失败 - Worker: {self.worker_id}\")\n await self.send(text_data=json.dumps({\n 'type': 'error',\n 'message': '认证失败，密码错误'\n }))\n except Exception as e:\n logger.error(f\"[SSH] 连接失败 - Worker: {self.worker_id}, Error: {e}\")\n await self.send(text_data=json.dumps({\n 'type': 'error',\n 'message': f'连接失败: {str(e)}'\n }))\n \n async def _read_shell_output(self):\n \"\"\"持续读取 shell 输出并发送到客户端\"\"\"\n try:\n while self.shell and not self.shell.closed:\n if self.shell.recv_ready():\n data = await asyncio.to_thread(self.shell.recv, 4096)\n if data:\n await self.send(bytes_data=data)\n else:\n await asyncio.sleep(0.01)\n except asyncio.CancelledError:\n pass\n except Exception as e:\n logger.error(f\"读取 shell 输出错误: {e}\")\n \n async def _run_deploy_script(self):\n \"\"\"运行部署脚本（在 tmux 会话中执行，支持断线续连）\n \n 流程：\n 1. 通过 SFTP 上传脚本到远程服务器\n 2. 使用 exec_command 静默执行（不在交互式终端回显）\n 3. 通过 WebSocket 发送结果到前端显示\n \"\"\"\n if not self.ssh_client:\n return\n \n from apps.engine.services.deploy_service import (\n get_bootstrap_script, \n get_deploy_script, \n get_start_agent_script\n )\n \n # 优先使用 settings 中配置的对外访问主机（PUBLIC_HOST）拼接 Django URL\n public_host = getattr(settings, 'PUBLIC_HOST', '').strip()\n server_port = getattr(settings, 'SERVER_PORT', '8888')\n\n if not public_host:\n error_msg = (\n \"未配置 PUBLIC_HOST，请在 docker/.env 中设置对外访问 IP/域名 \"\n \"(PUBLIC_HOST) 并重启服务后再执行远程部署\"\n )\n logger.error(error_msg)\n await self.send(text_data=json.dumps({\n 'type': 'error',\n 'message': error_msg,\n }))\n return\n\n # 远程 Worker 通过 nginx HTTPS 访问（nginx 反代到后端 8888）\n # 使用 https://{PUBLIC_HOST}:{PUBLIC_PORT} 而不是直连 8888 端口\n public_port = getattr(settings, 'PUBLIC_PORT', '8083')\n heartbeat_api_url = f\"https://{public_host}:{public_port}\"\n\n session_name = f'xingrin_deploy_{self.worker_id}'\n remote_script_path = '/tmp/xingrin_deploy.sh'\n \n # 获取外置脚本内容\n bootstrap_script = get_bootstrap_script()\n deploy_script = get_deploy_script()\n start_script = get_start_agent_script(\n heartbeat_api_url=heartbeat_api_url,\n worker_id=self.worker_id\n )\n \n # 合并脚本\n combined_script = f\"\"\"#!/bin/bash\nset -e\n\n# ==================== 阶段 1: 环境初始化 ====================\n{bootstrap_script}\n\n# ==================== 阶段 2: 安装 Docker ====================\n{deploy_script}\n\n# ==================== 阶段 3: 启动 Agent ====================\n{start_script}\n\necho \"SUCCESS\"\n\"\"\"\n \n # 更新状态为 deploying\n await sync_to_async(self.worker_service.update_status)(self.worker_id, 'deploying')\n \n # 发送开始提示\n start_msg = \"\\r\\n\\033[36m[XingRin] 正在准备部署...\\033[0m\\r\\n\"\n await self.send(bytes_data=start_msg.encode())\n \n try:\n # 1. 上传脚本\n sftp = await asyncio.to_thread(self.ssh_client.open_sftp)\n with sftp.file(remote_script_path, 'w') as f:\n f.write(combined_script)\n sftp.chmod(remote_script_path, 0o755)\n await asyncio.to_thread(sftp.close)\n \n # 2. 静默执行部署命令（使用 exec_command，不会回显到终端）\n deploy_cmd = f\"\"\"\n# 确保 tmux 安装\nif ! command -v tmux >/dev/null 2>&1; then\n if command -v apt-get >/dev/null 2>&1; then\n sudo apt-get update -qq && sudo apt-get install -y -qq tmux >/dev/null 2>&1\n fi\nfi\n\n# 检查脚本是否存在\nif [ ! -f \"{remote_script_path}\" ]; then\n echo \"SCRIPT_NOT_FOUND\"\n exit 1\nfi\n\n# 启动 tmux 会话\nif command -v tmux >/dev/null 2>&1; then\n tmux kill-session -t {session_name} 2>/dev/null || true\n # 使用 bash 执行脚本，确保环境正确\n tmux new-session -d -s {session_name} \"bash {remote_script_path}; echo '部署完成，按回车退出'; read\"\n # 验证会话是否创建成功\n sleep 0.5\n if tmux has-session -t {session_name} 2>/dev/null; then\n echo \"SUCCESS\"\n else\n echo \"SESSION_CREATE_FAILED\"\n fi\nelse\n echo \"TMUX_NOT_FOUND\"\nfi\n\"\"\"\n stdin, stdout, stderr = await asyncio.to_thread(\n self.ssh_client.exec_command, deploy_cmd\n )\n result = await asyncio.to_thread(stdout.read)\n result = result.decode().strip()\n \n # 3. 发送结果到前端终端显示\n if \"SUCCESS\" in result:\n # 部署任务已在后台启动，保持 deploying 状态\n # 只有当心跳上报成功后才会变成 deployed（通过 heartbeat API 自动更新）\n success_msg = (\n \"\\r\\n\\033[32m✓ 部署任务已在后台启动\\033[0m\\r\\n\"\n f\"\\033[90m 会话: {session_name}\\033[0m\\r\\n\"\n \"\\r\\n\"\n \"\\033[36m点击 [查看进度] 按钮查看部署输出\\033[0m\\r\\n\"\n f\"\\033[90m或手动执行: tmux attach -t {session_name}\\033[0m\\r\\n\"\n \"\\r\\n\"\n )\n else:\n # 获取更多错误信息\n err = await asyncio.to_thread(stderr.read)\n err_msg = err.decode().strip() if err else \"\"\n success_msg = f\"\\r\\n\\033[31m✗ 部署启动失败\\033[0m\\r\\n\\033[90m结果: {result}\\r\\n错误: {err_msg}\\033[0m\\r\\n\"\n \n await self.send(bytes_data=success_msg.encode())\n \n except Exception as e:\n error_msg = f\"\\033[31m✗ 部署失败: {str(e)}\\033[0m\\r\\n\"\n await self.send(bytes_data=error_msg.encode())\n logger.error(f\"部署脚本执行失败: {e}\")\n \n async def _run_uninstall_script(self):\n \"\"\"在远程主机上执行 Worker 卸载脚本\n\n 逻辑：\n 1. 通过服务层读取本地 worker-uninstall.sh 内容\n 2. 上传到远程 /tmp/xingrin_uninstall.sh 并赋予执行权限\n 3. 使用 exec_command 以 bash 执行脚本\n 4. 将执行结果摘要写回前端终端\n \"\"\"\n if not self.ssh_client:\n return\n\n from apps.engine.services.deploy_service import get_uninstall_script\n\n uninstall_script = get_uninstall_script()\n remote_script_path = '/tmp/xingrin_uninstall.sh'\n\n start_msg = \"\\r\\n\\033[36m[XingRin] 正在执行 Worker 卸载...\\033[0m\\r\\n\"\n await self.send(bytes_data=start_msg.encode())\n\n try:\n # 上传卸载脚本\n sftp = await asyncio.to_thread(self.ssh_client.open_sftp)\n with sftp.file(remote_script_path, 'w') as f:\n f.write(uninstall_script)\n sftp.chmod(remote_script_path, 0o755)\n await asyncio.to_thread(sftp.close)\n\n # 执行卸载脚本\n cmd = f\"bash {remote_script_path}\"\n stdin, stdout, stderr = await asyncio.to_thread(\n self.ssh_client.exec_command, cmd\n )\n out = await asyncio.to_thread(stdout.read)\n err = await asyncio.to_thread(stderr.read)\n\n # 转换换行符为终端格式 (\\n -> \\r\\n)\n output_text = out.decode().strip().replace('\\n', '\\r\\n') if out else \"\"\n error_text = err.decode().strip().replace('\\n', '\\r\\n') if err else \"\"\n\n # 简单判断是否成功（退出码 + 关键字）\n exit_status = stdout.channel.recv_exit_status()\n if exit_status == 0:\n # 卸载成功，重置状态为 pending\n await sync_to_async(self.worker_service.update_status)(self.worker_id, 'pending')\n # 删除 Redis 中的心跳数据\n from apps.engine.services.worker_load_service import worker_load_service\n worker_load_service.delete_load(self.worker_id)\n # 发送状态更新到前端\n await self.send(text_data=json.dumps({\n 'type': 'status',\n 'status': 'pending' # 卸载后变为待部署状态\n }))\n msg = \"\\r\\n\\033[32m✓ 节点卸载完成\\033[0m\\r\\n\"\n if output_text:\n msg += f\"\\033[90m{output_text}\\033[0m\\r\\n\"\n else:\n msg = \"\\r\\n\\033[31m✗ Worker 卸载失败\\033[0m\\r\\n\"\n if output_text:\n msg += f\"\\033[90m输出: {output_text}\\033[0m\\r\\n\"\n if error_text:\n msg += f\"\\033[90m错误: {error_text}\\033[0m\\r\\n\"\n\n await self.send(bytes_data=msg.encode())\n\n except Exception as e:\n error_msg = f\"\\033[31m✗ 卸载执行异常: {str(e)}\\033[0m\\r\\n\"\n await self.send(bytes_data=error_msg.encode())\n logger.error(f\"卸载脚本执行失败: {e}\")\n \n async def _attach_deploy_session(self):\n \"\"\"Attach 到部署会话查看进度\"\"\"\n if not self.shell or not self.ssh_client:\n return\n \n session_name = f'xingrin_deploy_{self.worker_id}'\n \n # 先静默检查会话是否存在\n check_cmd = f\"tmux has-session -t {session_name} 2>/dev/null && echo EXISTS || echo NOT_EXISTS\"\n stdin, stdout, stderr = await asyncio.to_thread(\n self.ssh_client.exec_command, check_cmd\n )\n result = await asyncio.to_thread(stdout.read)\n result = result.decode().strip()\n \n if \"EXISTS\" in result:\n # 会话存在，直接 attach\n await asyncio.to_thread(self.shell.send, f\"tmux attach -t {session_name}\\n\")\n else:\n # 会话不存在，发送提示\n msg = \"\\r\\n\\033[33m没有正在运行的部署任务\\033[0m\\r\\n\\033[90m请先点击 [执行部署] 按钮启动部署\\033[0m\\r\\n\\r\\n\"\n await self.send(bytes_data=msg.encode())\n \n # Channel Layer 消息处理\n async def terminal_output(self, event):\n if self.shell:\n await asyncio.to_thread(self.shell.send, event['content'])\n \n async def deploy_status(self, event):\n await self.send(text_data=json.dumps({\n 'type': 'status',\n 'status': event['status'],\n 'message': event.get('message', '')\n }))\n" }, { "path": "backend/apps/engine/management/__init__.py", "content": "" }, { "path": "backend/apps/engine/management/commands/__init__.py", "content": "" }, { "path": "backend/apps/engine/management/commands/init_default_engine.py", "content": "\"\"\"\n初始化默认扫描引擎\n\n用法：\n python manage.py init_default_engine # 只创建不存在的引擎（不覆盖已有）\n python manage.py init_default_engine --force # 强制覆盖所有引擎配置\n python manage.py init_default_engine --force-sub # 只覆盖子引擎，保留 full scan\n \n cd /root/my-vulun-scan/docker\n docker compose exec server python backend/manage.py init_default_engine --force\n\n功能：\n- 读取 engine_config_example.yaml 作为默认配置\n- 创建 full scan（默认引擎）+ 各扫描类型的子引擎\n- 默认不覆盖已有配置，加 --force 才会覆盖\n- 加 --force-sub 只覆盖子引擎配置，保留用户自定义的 full scan\n\"\"\"\n\nfrom django.core.management.base import BaseCommand\nfrom io import StringIO\nfrom pathlib import Path\n\nfrom ruamel.yaml import YAML\n\nfrom apps.engine.models import ScanEngine\n\n\nclass Command(BaseCommand):\n help = '初始化默认扫描引擎配置（默认不覆盖已有，加 --force 强制覆盖）'\n\n def add_arguments(self, parser):\n parser.add_argument(\n '--force',\n action='store_true',\n help='强制覆盖已有的引擎配置（包括 full scan 和子引擎）',\n )\n parser.add_argument(\n '--force-sub',\n action='store_true',\n help='只覆盖子引擎配置，保留 full scan（升级时使用）',\n )\n\n def handle(self, *args, **options):\n force = options.get('force', False)\n force_sub = options.get('force_sub', False)\n \n # 读取默认配置文件\n config_path = Path(__file__).resolve().parent.parent.parent.parent / 'scan' / 'configs' / 'engine_config_example.yaml'\n \n if not config_path.exists():\n self.stdout.write(self.style.ERROR(f'配置文件不存在: {config_path}'))\n return\n \n with open(config_path, 'r', encoding='utf-8') as f:\n default_config = f.read()\n\n # 使用 ruamel.yaml 解析，保留注释\n yaml_parser = YAML()\n yaml_parser.preserve_quotes = True\n try:\n config_dict = yaml_parser.load(default_config) or {}\n except Exception as e:\n self.stdout.write(self.style.ERROR(f'引擎配置 YAML 解析失败: {e}'))\n return\n\n # 1) full scan：保留完整配置\n engine = ScanEngine.objects.filter(name='full scan').first()\n if engine:\n if force:\n engine.configuration = default_config\n engine.save()\n self.stdout.write(self.style.SUCCESS(f'✓ 扫描引擎 full scan 配置已更新 (ID: {engine.id})'))\n else:\n self.stdout.write(self.style.WARNING(f' ⊘ full scan 已存在，跳过（使用 --force 覆盖）'))\n else:\n engine = ScanEngine.objects.create(\n name='full scan',\n configuration=default_config,\n )\n self.stdout.write(self.style.SUCCESS(f'✓ 扫描引擎 full scan 已创建 (ID: {engine.id})'))\n\n # 2) 为每个扫描类型生成一个「单一扫描类型」的子引擎\n # 例如：subdomain_discovery, port_scan, ...\n from apps.scan.configs.command_templates import get_supported_scan_types\n\n supported_scan_types = set(get_supported_scan_types())\n\n for scan_type, scan_cfg in config_dict.items():\n # 只处理受支持且结构为 {tools: {...}} 的扫描类型\n if scan_type not in supported_scan_types:\n continue\n if not isinstance(scan_cfg, dict):\n continue\n # subdomain_discovery 使用 4 阶段新结构（无 tools 字段），其他扫描类型仍要求有 tools\n if scan_type != 'subdomain_discovery' and 'tools' not in scan_cfg:\n continue\n\n # 构造只包含当前扫描类型配置的 YAML（保留注释）\n single_config = {scan_type: scan_cfg}\n try:\n stream = StringIO()\n yaml_parser.dump(single_config, stream)\n single_yaml = stream.getvalue()\n except Exception as e:\n self.stdout.write(self.style.ERROR(f'生成子引擎 {scan_type} 配置失败: {e}'))\n continue\n\n engine_name = f\"{scan_type}\"\n sub_engine = ScanEngine.objects.filter(name=engine_name).first()\n if sub_engine:\n # force 或 force_sub 都会覆盖子引擎\n if force or force_sub:\n sub_engine.configuration = single_yaml\n sub_engine.save()\n self.stdout.write(self.style.SUCCESS(\n f' ✓ 子引擎 {engine_name} 配置已更新 (ID: {sub_engine.id})'\n ))\n else:\n self.stdout.write(self.style.WARNING(\n f' ⊘ {engine_name} 已存在，跳过（使用 --force 覆盖）'\n ))\n else:\n sub_engine = ScanEngine.objects.create(\n name=engine_name,\n configuration=single_yaml,\n )\n self.stdout.write(self.style.SUCCESS(\n f' ✓ 子引擎 {engine_name} 已创建 (ID: {sub_engine.id})'\n ))\n" }, { "path": "backend/apps/engine/management/commands/init_fingerprints.py", "content": "\"\"\"初始化内置指纹库\n\n- EHole 指纹: ehole.json -> 导入到数据库\n- Goby 指纹: goby.json -> 导入到数据库\n- Wappalyzer 指纹: wappalyzer.json -> 导入到数据库\n- Fingers 指纹: fingers_http.json -> 导入到数据库\n- FingerPrintHub 指纹: fingerprinthub_web.json -> 导入到数据库\n- ARL 指纹: ARL.yaml -> 导入到数据库\n\n可重复执行：如果数据库已有数据则跳过，只在空库时导入。\n\"\"\"\n\nimport json\nimport logging\nfrom pathlib import Path\n\nimport yaml\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\n\nfrom apps.engine.models import (\n EholeFingerprint,\n GobyFingerprint,\n WappalyzerFingerprint,\n FingersFingerprint,\n FingerPrintHubFingerprint,\n ARLFingerprint,\n)\nfrom apps.engine.services.fingerprints import (\n EholeFingerprintService,\n GobyFingerprintService,\n WappalyzerFingerprintService,\n FingersFingerprintService,\n FingerPrintHubFingerprintService,\n ARLFingerprintService,\n)\n\n\nlogger = logging.getLogger(__name__)\n\n\n# 内置指纹配置\nDEFAULT_FINGERPRINTS = [\n {\n \"type\": \"ehole\",\n \"filename\": \"ehole.json\",\n \"model\": EholeFingerprint,\n \"service\": EholeFingerprintService,\n \"data_key\": \"fingerprint\", # JSON 中指纹数组的 key\n \"file_format\": \"json\",\n },\n {\n \"type\": \"goby\",\n \"filename\": \"goby.json\",\n \"model\": GobyFingerprint,\n \"service\": GobyFingerprintService,\n \"data_key\": None, # Goby 是数组格式，直接使用整个 JSON\n \"file_format\": \"json\",\n },\n {\n \"type\": \"wappalyzer\",\n \"filename\": \"wappalyzer.json\",\n \"model\": WappalyzerFingerprint,\n \"service\": WappalyzerFingerprintService,\n \"data_key\": \"apps\", # Wappalyzer 使用 apps 对象\n \"file_format\": \"json\",\n },\n {\n \"type\": \"fingers\",\n \"filename\": \"fingers_http.json\",\n \"model\": FingersFingerprint,\n \"service\": FingersFingerprintService,\n \"data_key\": None, # Fingers 是数组格式\n \"file_format\": \"json\",\n },\n {\n \"type\": \"fingerprinthub\",\n \"filename\": \"fingerprinthub_web.json\",\n \"model\": FingerPrintHubFingerprint,\n \"service\": FingerPrintHubFingerprintService,\n \"data_key\": None, # FingerPrintHub 是数组格式\n \"file_format\": \"json\",\n },\n {\n \"type\": \"arl\",\n \"filename\": \"ARL.yaml\",\n \"model\": ARLFingerprint,\n \"service\": ARLFingerprintService,\n \"data_key\": None, # ARL 是 YAML 数组格式\n \"file_format\": \"yaml\",\n },\n]\n\n\nclass Command(BaseCommand):\n help = \"初始化内置指纹库\"\n\n def handle(self, *args, **options):\n project_base = Path(settings.BASE_DIR).parent # /app/backend -> /app\n fingerprints_dir = project_base / \"backend\" / \"fingerprints\"\n\n initialized = 0\n skipped = 0\n failed = 0\n\n for item in DEFAULT_FINGERPRINTS:\n fp_type = item[\"type\"]\n filename = item[\"filename\"]\n model = item[\"model\"]\n service_class = item[\"service\"]\n data_key = item[\"data_key\"]\n file_format = item.get(\"file_format\", \"json\")\n\n # 检查数据库是否已有数据\n existing_count = model.objects.count()\n if existing_count > 0:\n self.stdout.write(self.style.SUCCESS(\n f\"[{fp_type}] 数据库已有 {existing_count} 条记录，跳过初始化\"\n ))\n skipped += 1\n continue\n\n # 查找源文件\n src_path = fingerprints_dir / filename\n if not src_path.exists():\n self.stdout.write(self.style.WARNING(\n f\"[{fp_type}] 未找到内置指纹文件: {src_path}，跳过\"\n ))\n failed += 1\n continue\n\n # 读取并解析文件（支持 JSON 和 YAML）\n try:\n with open(src_path, \"r\", encoding=\"utf-8\") as f:\n if file_format == \"yaml\":\n file_data = yaml.safe_load(f)\n else:\n file_data = json.load(f)\n except (json.JSONDecodeError, yaml.YAMLError, OSError) as exc:\n self.stdout.write(self.style.ERROR(\n f\"[{fp_type}] 读取指纹文件失败: {exc}\"\n ))\n failed += 1\n continue\n\n # 提取指纹数据（根据不同格式处理）\n fingerprints = self._extract_fingerprints(file_data, data_key, fp_type)\n if not fingerprints:\n self.stdout.write(self.style.WARNING(\n f\"[{fp_type}] 指纹文件中没有有效数据，跳过\"\n ))\n failed += 1\n continue\n\n # 使用 Service 批量导入\n try:\n service = service_class()\n result = service.batch_create_fingerprints(fingerprints)\n created = result.get(\"created\", 0)\n failed_count = result.get(\"failed\", 0)\n\n self.stdout.write(self.style.SUCCESS(\n f\"[{fp_type}] 导入成功: 创建 {created} 条，失败 {failed_count} 条\"\n ))\n initialized += 1\n except Exception as exc:\n self.stdout.write(self.style.ERROR(\n f\"[{fp_type}] 导入失败: {exc}\"\n ))\n failed += 1\n continue\n\n self.stdout.write(self.style.SUCCESS(\n f\"指纹初始化完成: 成功 {initialized}, 已存在跳过 {skipped}, 失败 {failed}\"\n ))\n\n def _extract_fingerprints(self, json_data, data_key, fp_type):\n \"\"\"\n 根据不同格式提取指纹数据，兼容数组和对象两种格式\n \n 支持的格式：\n - 数组格式: [...] 或 {\"key\": [...]}\n - 对象格式: {...} 或 {\"key\": {...}} -> 转换为 [{\"name\": k, ...v}]\n \"\"\"\n # 获取目标数据\n if data_key is None:\n # 直接使用整个 JSON\n target = json_data\n else:\n # 从指定 key 获取，支持多个可能的 key（如 apps/technologies）\n if data_key == \"apps\":\n target = json_data.get(\"apps\") or json_data.get(\"technologies\") or {}\n else:\n target = json_data.get(data_key, [])\n \n # 根据数据类型处理\n if isinstance(target, list):\n # 已经是数组格式，直接返回\n return target\n elif isinstance(target, dict):\n # 对象格式，转换为数组 [{\"name\": key, ...value}]\n return [{\"name\": name, **data} if isinstance(data, dict) else {\"name\": name}\n for name, data in target.items()]\n \n return []\n" }, { "path": "backend/apps/engine/management/commands/init_nuclei_templates.py", "content": "\"\"\"初始化 Nuclei 模板仓库\n\n项目安装后执行此命令，自动创建官方模板仓库记录。\n\n使用方式：\n python manage.py init_nuclei_templates # 只创建记录（检测本地已有仓库）\n python manage.py init_nuclei_templates --sync # 创建并同步（git clone）\n\"\"\"\n\nimport logging\nimport subprocess\nfrom pathlib import Path\n\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\nfrom django.utils import timezone\n\nfrom apps.engine.models import NucleiTemplateRepo\nfrom apps.engine.services import NucleiTemplateRepoService\n\nlogger = logging.getLogger(__name__)\n\n\n# 默认仓库配置\nDEFAULT_REPOS = [\n {\n \"name\": \"nuclei-templates\",\n \"repo_url\": \"https://github.com/projectdiscovery/nuclei-templates.git\",\n \"description\": \"Nuclei 官方模板仓库，包含数千个漏洞检测模板\",\n },\n]\n\n\ndef get_local_commit_hash(local_path: Path) -> str:\n \"\"\"获取本地 Git 仓库的 commit hash\"\"\"\n if not (local_path / \".git\").is_dir():\n return \"\"\n result = subprocess.run(\n [\"git\", \"-C\", str(local_path), \"rev-parse\", \"HEAD\"],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n return result.stdout.strip() if result.returncode == 0 else \"\"\n\n\nclass Command(BaseCommand):\n help = \"初始化 Nuclei 模板仓库（创建官方模板仓库记录）\"\n\n def add_arguments(self, parser):\n parser.add_argument(\n \"--sync\",\n action=\"store_true\",\n help=\"创建后立即同步（git clone），首次需要较长时间\",\n )\n parser.add_argument(\n \"--force\",\n action=\"store_true\",\n help=\"强制重新创建（删除已存在的同名仓库）\",\n )\n\n def handle(self, *args, **options):\n do_sync = options.get(\"sync\", False)\n force = options.get(\"force\", False)\n\n service = NucleiTemplateRepoService()\n base_dir = Path(getattr(settings, \"NUCLEI_TEMPLATES_REPOS_BASE_DIR\", \"/opt/xingrin/nuclei-repos\"))\n \n created = 0\n skipped = 0\n synced = 0\n\n for repo_config in DEFAULT_REPOS:\n name = repo_config[\"name\"]\n repo_url = repo_config[\"repo_url\"]\n\n # 检查是否已存在\n existing = NucleiTemplateRepo.objects.filter(name=name).first()\n\n if existing:\n if force:\n self.stdout.write(self.style.WARNING(\n f\"[{name}] 强制模式，删除已存在的仓库记录\"\n ))\n service.remove_local_path_dir(existing)\n existing.delete()\n else:\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] 已存在，跳过创建\"\n ))\n skipped += 1\n\n # 如果需要同步且已存在，也执行同步\n if do_sync and existing.id:\n try:\n result = service.refresh_repo(existing.id)\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] 同步完成: {result.get('action', 'unknown')}, \"\n f\"commit={result.get('commitHash', 'N/A')[:8]}\"\n ))\n synced += 1\n except Exception as e:\n self.stdout.write(self.style.ERROR(\n f\"[{name}] 同步失败: {e}\"\n ))\n continue\n\n # 创建新仓库记录\n try:\n # 检查本地是否已有仓库（由 install.sh 预下载）\n local_path = base_dir / name\n local_commit = get_local_commit_hash(local_path)\n \n repo = NucleiTemplateRepo.objects.create(\n name=name,\n repo_url=repo_url,\n local_path=str(local_path) if local_commit else \"\",\n commit_hash=local_commit,\n last_synced_at=timezone.now() if local_commit else None,\n )\n \n if local_commit:\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] 创建成功（检测到本地仓库）: commit={local_commit[:8]}\"\n ))\n else:\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] 创建成功: id={repo.id}\"\n ))\n created += 1\n\n # 如果本地没有仓库且需要同步\n if not local_commit and do_sync:\n try:\n self.stdout.write(self.style.WARNING(\n f\"[{name}] 正在同步（首次可能需要几分钟）...\"\n ))\n result = service.refresh_repo(repo.id)\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] 同步完成: {result.get('action', 'unknown')}, \"\n f\"commit={result.get('commitHash', 'N/A')[:8]}\"\n ))\n synced += 1\n except Exception as e:\n self.stdout.write(self.style.ERROR(\n f\"[{name}] 同步失败: {e}\"\n ))\n\n except Exception as e:\n self.stdout.write(self.style.ERROR(\n f\"[{name}] 创建失败: {e}\"\n ))\n\n self.stdout.write(self.style.SUCCESS(\n f\"\\n初始化完成: 创建 {created}, 跳过 {skipped}, 同步 {synced}\"\n ))\n" }, { "path": "backend/apps/engine/management/commands/init_wordlists.py", "content": "\"\"\"初始化所有内置字典 Wordlist 记录\n\n内置字典从镜像内 /app/backend/wordlist/ 复制到运行时目录 /opt/xingrin/wordlists/：\n- 目录扫描默认字典: dir_default.txt\n- 子域名爆破默认字典: subdomains-top1million-110000.txt\n\n可重复执行：如果已存在同名记录且文件有效则跳过，只在缺失或文件丢失时创建/修复。\n\"\"\"\n\nimport logging\nimport shutil\nfrom pathlib import Path\n\nfrom django.conf import settings\nfrom django.core.management.base import BaseCommand\n\nfrom apps.common.utils import safe_calc_file_sha256\nfrom apps.engine.models import Wordlist\n\n\nlogger = logging.getLogger(__name__)\n\n\nDEFAULT_WORDLISTS = [\n {\n \"name\": \"dir_default.txt\",\n \"filename\": \"dir_default.txt\",\n \"description\": \"内置默认目录字典\",\n },\n {\n \"name\": \"subdomains-top1million-110000.txt\",\n \"filename\": \"subdomains-top1million-110000.txt\",\n \"description\": \"内置默认子域名字典\",\n },\n]\n\n\nclass Command(BaseCommand):\n help = \"初始化所有内置字典 Wordlist 记录\"\n\n def handle(self, *args, **options):\n project_base = Path(settings.BASE_DIR).parent # /app/backend -> /app\n base_wordlist_dir = project_base / \"backend\" / \"wordlist\"\n runtime_base_dir = Path(getattr(settings, \"WORDLISTS_BASE_PATH\", \"/opt/xingrin/wordlists\"))\n runtime_base_dir.mkdir(parents=True, exist_ok=True)\n\n initialized = 0\n skipped = 0\n failed = 0\n\n for item in DEFAULT_WORDLISTS:\n name = item[\"name\"]\n filename = item[\"filename\"]\n description = item[\"description\"]\n\n existing = Wordlist.objects.filter(name=name).first()\n if existing:\n file_path = existing.file_path or \"\"\n file_hash = getattr(existing, 'file_hash', '') or ''\n if file_path and Path(file_path).exists() and file_hash:\n # 记录、文件、hash 都在，直接跳过\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] 已存在且文件有效，跳过初始化 (file_path={file_path})\"\n ))\n skipped += 1\n continue\n elif file_path and Path(file_path).exists() and not file_hash:\n # 文件在但 hash 缺失，需要补算\n self.stdout.write(self.style.WARNING(\n f\"[{name}] 记录已存在但缺少 file_hash，将补算并更新\"\n ))\n else:\n self.stdout.write(self.style.WARNING(\n f\"[{name}] 记录已存在但物理文件丢失，将重新创建文件路径并修复记录\"\n ))\n\n src_path = base_wordlist_dir / filename\n dest_path = runtime_base_dir / filename\n\n if not src_path.exists():\n self.stdout.write(self.style.WARNING(\n f\"[{name}] 未找到内置字典文件: {src_path}，跳过\"\n ))\n failed += 1\n continue\n\n try:\n shutil.copy2(src_path, dest_path)\n except OSError as exc:\n self.stdout.write(self.style.WARNING(\n f\"[{name}] 复制内置字典到运行目录失败: {exc}\"\n ))\n failed += 1\n continue\n\n # 统计文件大小和行数\n try:\n file_size = dest_path.stat().st_size\n except OSError:\n file_size = 0\n\n line_count = 0\n try:\n with dest_path.open(\"rb\") as f:\n for _ in f:\n line_count += 1\n except OSError:\n logger.warning(\"统计字典行数失败: %s\", src_path)\n\n # 计算文件 hash\n file_hash = safe_calc_file_sha256(str(dest_path)) or \"\"\n\n # 如果之前已有记录则更新，否则创建新记录\n if existing:\n existing.file_path = str(dest_path)\n existing.file_size = file_size\n existing.line_count = line_count\n existing.file_hash = file_hash\n existing.description = existing.description or description\n existing.save(update_fields=[\n \"file_path\",\n \"file_size\",\n \"line_count\",\n \"file_hash\",\n \"description\",\n \"updated_at\",\n ])\n wordlist = existing\n action = \"更新\"\n else:\n wordlist = Wordlist.objects.create(\n name=name,\n description=description,\n file_path=str(dest_path),\n file_size=file_size,\n line_count=line_count,\n file_hash=file_hash,\n )\n action = \"创建\"\n\n initialized += 1\n hash_preview = (wordlist.file_hash[:16] + \"...\") if wordlist.file_hash else \"N/A\"\n self.stdout.write(self.style.SUCCESS(\n f\"[{name}] {action}字典记录成功: id={wordlist.id}, size={wordlist.file_size}, lines={wordlist.line_count}, hash={hash_preview}\"\n ))\n\n self.stdout.write(self.style.SUCCESS(\n f\"初始化完成: 成功 {initialized}, 已存在跳过 {skipped}, 文件缺失 {failed}\"\n ))\n" }, { "path": "backend/apps/engine/migrations/0001_initial.py", "content": "# Generated by Django 5.2.7 on 2026-01-06 00:55\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='NucleiTemplateRepo',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(help_text='仓库名称，用于前端展示和配置引用', max_length=200, unique=True)),\n ('repo_url', models.CharField(help_text='Git 仓库地址', max_length=500)),\n ('local_path', models.CharField(blank=True, default='', help_text='本地工作目录绝对路径', max_length=500)),\n ('commit_hash', models.CharField(blank=True, default='', help_text='最后同步的 Git commit hash，用于 Worker 版本校验', max_length=40)),\n ('last_synced_at', models.DateTimeField(blank=True, help_text='最后一次成功同步时间', null=True)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')),\n ],\n options={\n 'verbose_name': 'Nuclei 模板仓库',\n 'verbose_name_plural': 'Nuclei 模板仓库',\n 'db_table': 'nuclei_template_repo',\n },\n ),\n migrations.CreateModel(\n name='ARLFingerprint',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(help_text='指纹名称', max_length=300, unique=True)),\n ('rule', models.TextField(help_text='匹配规则表达式')),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ],\n options={\n 'verbose_name': 'ARL 指纹',\n 'verbose_name_plural': 'ARL 指纹',\n 'db_table': 'arl_fingerprint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['name'], name='arl_fingerp_name_c3a305_idx'), models.Index(fields=['-created_at'], name='arl_fingerp_created_ed1060_idx')],\n },\n ),\n migrations.CreateModel(\n name='EholeFingerprint',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('cms', models.CharField(help_text='产品/CMS名称', max_length=200)),\n ('method', models.CharField(default='keyword', help_text='匹配方式', max_length=200)),\n ('location', models.CharField(default='body', help_text='匹配位置', max_length=200)),\n ('keyword', models.JSONField(default=list, help_text='关键词列表')),\n ('is_important', models.BooleanField(default=False, help_text='是否重点资产')),\n ('type', models.CharField(blank=True, default='-', help_text='分类', max_length=100)),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ],\n options={\n 'verbose_name': 'EHole 指纹',\n 'verbose_name_plural': 'EHole 指纹',\n 'db_table': 'ehole_fingerprint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['cms'], name='ehole_finge_cms_72ca2c_idx'), models.Index(fields=['method'], name='ehole_finge_method_17f0db_idx'), models.Index(fields=['location'], name='ehole_finge_locatio_7bb82b_idx'), models.Index(fields=['type'], name='ehole_finge_type_ca2bce_idx'), models.Index(fields=['is_important'], name='ehole_finge_is_impo_d56e64_idx'), models.Index(fields=['-created_at'], name='ehole_finge_created_d862b0_idx')],\n 'constraints': [models.UniqueConstraint(fields=('cms', 'method', 'location'), name='unique_ehole_fingerprint')],\n },\n ),\n migrations.CreateModel(\n name='FingerPrintHubFingerprint',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('fp_id', models.CharField(help_text='指纹ID', max_length=200, unique=True)),\n ('name', models.CharField(help_text='指纹名称', max_length=300)),\n ('author', models.CharField(blank=True, default='', help_text='作者', max_length=200)),\n ('tags', models.CharField(blank=True, default='', help_text='标签', max_length=500)),\n ('severity', models.CharField(blank=True, default='info', help_text='严重程度', max_length=50)),\n ('metadata', models.JSONField(blank=True, default=dict, help_text='元数据')),\n ('http', models.JSONField(default=list, help_text='HTTP 匹配规则')),\n ('source_file', models.CharField(blank=True, default='', help_text='来源文件', max_length=500)),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ],\n options={\n 'verbose_name': 'FingerPrintHub 指纹',\n 'verbose_name_plural': 'FingerPrintHub 指纹',\n 'db_table': 'fingerprinthub_fingerprint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['fp_id'], name='fingerprint_fp_id_df467f_idx'), models.Index(fields=['name'], name='fingerprint_name_95b6fb_idx'), models.Index(fields=['author'], name='fingerprint_author_80f54b_idx'), models.Index(fields=['severity'], name='fingerprint_severit_f70422_idx'), models.Index(fields=['-created_at'], name='fingerprint_created_bec16c_idx')],\n },\n ),\n migrations.CreateModel(\n name='FingersFingerprint',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(help_text='指纹名称', max_length=300, unique=True)),\n ('link', models.URLField(blank=True, default='', help_text='相关链接', max_length=500)),\n ('rule', models.JSONField(default=list, help_text='匹配规则数组')),\n ('tag', models.JSONField(default=list, help_text='标签数组')),\n ('focus', models.BooleanField(default=False, help_text='是否重点关注')),\n ('default_port', models.JSONField(blank=True, default=list, help_text='默认端口数组')),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ],\n options={\n 'verbose_name': 'Fingers 指纹',\n 'verbose_name_plural': 'Fingers 指纹',\n 'db_table': 'fingers_fingerprint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['name'], name='fingers_fin_name_952de0_idx'), models.Index(fields=['link'], name='fingers_fin_link_4c6b7f_idx'), models.Index(fields=['focus'], name='fingers_fin_focus_568c7f_idx'), models.Index(fields=['-created_at'], name='fingers_fin_created_46fc91_idx')],\n },\n ),\n migrations.CreateModel(\n name='GobyFingerprint',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(help_text='产品名称', max_length=300, unique=True)),\n ('logic', models.CharField(help_text='逻辑表达式', max_length=500)),\n ('rule', models.JSONField(default=list, help_text='规则数组')),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ],\n options={\n 'verbose_name': 'Goby 指纹',\n 'verbose_name_plural': 'Goby 指纹',\n 'db_table': 'goby_fingerprint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['name'], name='goby_finger_name_82084c_idx'), models.Index(fields=['logic'], name='goby_finger_logic_a63226_idx'), models.Index(fields=['-created_at'], name='goby_finger_created_50e000_idx')],\n },\n ),\n migrations.CreateModel(\n name='ScanEngine',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(help_text='引擎名称', max_length=200, unique=True)),\n ('configuration', models.CharField(blank=True, default='', help_text='引擎配置，yaml 格式', max_length=10000)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')),\n ],\n options={\n 'verbose_name': '扫描引擎',\n 'verbose_name_plural': '扫描引擎',\n 'db_table': 'scan_engine',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='scan_engine_created_da4870_idx')],\n },\n ),\n migrations.CreateModel(\n name='WappalyzerFingerprint',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(help_text='应用名称', max_length=300, unique=True)),\n ('cats', models.JSONField(default=list, help_text='分类 ID 数组')),\n ('cookies', models.JSONField(blank=True, default=dict, help_text='Cookie 检测规则')),\n ('headers', models.JSONField(blank=True, default=dict, help_text='HTTP Header 检测规则')),\n ('script_src', models.JSONField(blank=True, default=list, help_text='脚本 URL 正则数组')),\n ('js', models.JSONField(blank=True, default=list, help_text='JavaScript 变量检测规则')),\n ('implies', models.JSONField(blank=True, default=list, help_text='依赖关系数组')),\n ('meta', models.JSONField(blank=True, default=dict, help_text='HTML meta 标签检测规则')),\n ('html', models.JSONField(blank=True, default=list, help_text='HTML 内容正则数组')),\n ('description', models.TextField(blank=True, default='', help_text='应用描述')),\n ('website', models.URLField(blank=True, default='', help_text='官网链接', max_length=500)),\n ('cpe', models.CharField(blank=True, default='', help_text='CPE 标识符', max_length=300)),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ],\n options={\n 'verbose_name': 'Wappalyzer 指纹',\n 'verbose_name_plural': 'Wappalyzer 指纹',\n 'db_table': 'wappalyzer_fingerprint',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['name'], name='wappalyzer__name_63c669_idx'), models.Index(fields=['website'], name='wappalyzer__website_88de1c_idx'), models.Index(fields=['cpe'], name='wappalyzer__cpe_30c761_idx'), models.Index(fields=['-created_at'], name='wappalyzer__created_8e6c21_idx')],\n },\n ),\n migrations.CreateModel(\n name='Wordlist',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(help_text='字典名称，唯一', max_length=200, unique=True)),\n ('description', models.CharField(blank=True, default='', help_text='字典描述', max_length=200)),\n ('file_path', models.CharField(help_text='后端保存的字典文件绝对路径', max_length=500)),\n ('file_size', models.BigIntegerField(default=0, help_text='文件大小（字节）')),\n ('line_count', models.IntegerField(default=0, help_text='字典行数')),\n ('file_hash', models.CharField(blank=True, default='', help_text='文件 SHA-256 哈希，用于缓存校验', max_length=64)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')),\n ],\n options={\n 'verbose_name': '字典文件',\n 'verbose_name_plural': '字典文件',\n 'db_table': 'wordlist',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='wordlist_created_4afb02_idx')],\n },\n ),\n migrations.CreateModel(\n name='WorkerNode',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(help_text='节点名称', max_length=100)),\n ('ip_address', models.GenericIPAddressField(help_text='IP 地址（本地节点为 127.0.0.1）')),\n ('ssh_port', models.IntegerField(default=22, help_text='SSH 端口')),\n ('username', models.CharField(default='root', help_text='SSH 用户名', max_length=50)),\n ('password', models.CharField(blank=True, default='', help_text='SSH 密码', max_length=200)),\n ('is_local', models.BooleanField(default=False, help_text='是否为本地节点（Docker 容器内）')),\n ('status', models.CharField(choices=[('pending', '待部署'), ('deploying', '部署中'), ('online', '在线'), ('offline', '离线'), ('updating', '更新中'), ('outdated', '版本过低')], default='pending', help_text='状态: pending/deploying/online/offline', max_length=20)),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ('updated_at', models.DateTimeField(auto_now=True)),\n ],\n options={\n 'verbose_name': 'Worker 节点',\n 'db_table': 'worker_node',\n 'ordering': ['-created_at'],\n 'constraints': [models.UniqueConstraint(condition=models.Q(('is_local', False)), fields=('ip_address',), name='unique_remote_worker_ip'), models.UniqueConstraint(fields=('name',), name='unique_worker_name')],\n },\n ),\n ]\n" }, { "path": "backend/apps/engine/migrations/__init__.py", "content": "" }, { "path": "backend/apps/engine/models/__init__.py", "content": "\"\"\"Engine Models\n\n导出所有 Engine 模块的 Models\n\"\"\"\n\nfrom .engine import WorkerNode, ScanEngine, Wordlist, NucleiTemplateRepo\nfrom .fingerprints import (\n EholeFingerprint,\n GobyFingerprint,\n WappalyzerFingerprint,\n FingersFingerprint,\n FingerPrintHubFingerprint,\n ARLFingerprint,\n)\n\n__all__ = [\n # 核心 Models\n \"WorkerNode\",\n \"ScanEngine\",\n \"Wordlist\",\n \"NucleiTemplateRepo\",\n # 指纹 Models\n \"EholeFingerprint\",\n \"GobyFingerprint\",\n \"WappalyzerFingerprint\",\n \"FingersFingerprint\",\n \"FingerPrintHubFingerprint\",\n \"ARLFingerprint\",\n]\n" }, { "path": "backend/apps/engine/models/engine.py", "content": "\"\"\"Engine 模块核心 Models\n\n包含 WorkerNode, ScanEngine, Wordlist, NucleiTemplateRepo\n\"\"\"\n\nfrom django.db import models\n\n\nclass WorkerNode(models.Model):\n \"\"\"Worker 节点模型 - 分布式扫描执行器\"\"\"\n \n # 状态选项（前后端统一）\n STATUS_CHOICES = [\n ('pending', '待部署'),\n ('deploying', '部署中'),\n ('online', '在线'),\n ('offline', '离线'),\n ('updating', '更新中'),\n ('outdated', '版本过低'),\n ]\n \n name = models.CharField(max_length=100, help_text='节点名称')\n # 本地节点会自动填入 127.0.0.1 或容器 IP\n ip_address = models.GenericIPAddressField(help_text='IP 地址（本地节点为 127.0.0.1）')\n ssh_port = models.IntegerField(default=22, help_text='SSH 端口')\n username = models.CharField(max_length=50, default='root', help_text='SSH 用户名')\n password = models.CharField(max_length=200, blank=True, default='', help_text='SSH 密码')\n \n # 本地节点标记（Docker 容器内的 Worker）\n is_local = models.BooleanField(default=False, help_text='是否为本地节点（Docker 容器内）')\n \n # 状态（前后端统一）\n status = models.CharField(\n max_length=20, \n choices=STATUS_CHOICES, \n default='pending', \n help_text='状态: pending/deploying/online/offline'\n )\n \n # 心跳数据存储在 Redis（worker:load:{id}），不再使用数据库字段\n \n created_at = models.DateTimeField(auto_now_add=True)\n updated_at = models.DateTimeField(auto_now=True)\n \n class Meta:\n db_table = 'worker_node'\n verbose_name = 'Worker 节点'\n ordering = ['-created_at']\n constraints = [\n # 远程节点 IP 唯一（本地节点不限制，因为都是 127.0.0.1）\n models.UniqueConstraint(\n fields=['ip_address'],\n condition=models.Q(is_local=False),\n name='unique_remote_worker_ip'\n ),\n # 名称全局唯一\n models.UniqueConstraint(\n fields=['name'],\n name='unique_worker_name'\n ),\n ]\n \n def __str__(self):\n if self.is_local:\n return f\"{self.name} (本地)\"\n return f\"{self.name} ({self.ip_address or '未知'})\"\n\n\nclass ScanEngine(models.Model):\n \"\"\"扫描引擎模型\"\"\"\n \n id = models.AutoField(primary_key=True)\n name = models.CharField(max_length=200, unique=True, help_text='引擎名称')\n configuration = models.CharField(max_length=10000, blank=True, default='', help_text='引擎配置，yaml 格式')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n updated_at = models.DateTimeField(auto_now=True, help_text='更新时间')\n\n class Meta:\n db_table = 'scan_engine'\n verbose_name = '扫描引擎'\n verbose_name_plural = '扫描引擎'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n ]\n\n def __str__(self):\n return str(self.name or f'ScanEngine {self.id}')\n\n\nclass Wordlist(models.Model):\n \"\"\"字典文件模型\"\"\"\n\n id = models.AutoField(primary_key=True)\n name = models.CharField(max_length=200, unique=True, help_text='字典名称，唯一')\n description = models.CharField(max_length=200, blank=True, default='', help_text='字典描述')\n file_path = models.CharField(max_length=500, help_text='后端保存的字典文件绝对路径')\n file_size = models.BigIntegerField(default=0, help_text='文件大小（字节）')\n line_count = models.IntegerField(default=0, help_text='字典行数')\n file_hash = models.CharField(max_length=64, blank=True, default='', help_text='文件 SHA-256 哈希，用于缓存校验')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n updated_at = models.DateTimeField(auto_now=True, help_text='更新时间')\n\n class Meta:\n db_table = 'wordlist'\n verbose_name = '字典文件'\n verbose_name_plural = '字典文件'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n ]\n\n def __str__(self) -> str:\n return self.name\n\n\nclass NucleiTemplateRepo(models.Model):\n \"\"\"Nuclei 模板 Git 仓库模型（多仓库）\"\"\"\n\n name = models.CharField(max_length=200, unique=True, help_text=\"仓库名称，用于前端展示和配置引用\")\n repo_url = models.CharField(max_length=500, help_text=\"Git 仓库地址\")\n local_path = models.CharField(max_length=500, blank=True, default='', help_text=\"本地工作目录绝对路径\")\n commit_hash = models.CharField(max_length=40, blank=True, default='', help_text=\"最后同步的 Git commit hash，用于 Worker 版本校验\")\n last_synced_at = models.DateTimeField(null=True, blank=True, help_text=\"最后一次成功同步时间\")\n created_at = models.DateTimeField(auto_now_add=True, help_text=\"创建时间\")\n updated_at = models.DateTimeField(auto_now=True, help_text=\"更新时间\")\n\n class Meta:\n db_table = \"nuclei_template_repo\"\n verbose_name = \"Nuclei 模板仓库\"\n verbose_name_plural = \"Nuclei 模板仓库\"\n\n def __str__(self) -> str: # pragma: no cover - 简单表示\n return f\"NucleiTemplateRepo({self.id}, {self.name})\"\n" }, { "path": "backend/apps/engine/models/fingerprints.py", "content": "\"\"\"指纹相关 Models\n\n包含 EHole、Goby、Wappalyzer 等指纹格式的数据模型\n\"\"\"\n\nfrom django.db import models\n\n\nclass GobyFingerprint(models.Model):\n \"\"\"Goby 格式指纹规则\n \n Goby 使用逻辑表达式和规则数组进行匹配：\n - logic: 逻辑表达式，如 \"a||b\", \"(a&&b)||c\"\n - rule: 规则数组，每条规则包含 label, feature, is_equal\n \"\"\"\n \n name = models.CharField(max_length=300, unique=True, help_text='产品名称')\n logic = models.CharField(max_length=500, help_text='逻辑表达式')\n rule = models.JSONField(default=list, help_text='规则数组')\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'goby_fingerprint'\n verbose_name = 'Goby 指纹'\n verbose_name_plural = 'Goby 指纹'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['name']),\n models.Index(fields=['logic']),\n models.Index(fields=['-created_at']),\n ]\n \n def __str__(self) -> str:\n return f\"{self.name} ({self.logic})\"\n\n\nclass EholeFingerprint(models.Model):\n \"\"\"EHole 格式指纹规则（字段与 ehole.json 一致）\"\"\"\n \n cms = models.CharField(max_length=200, help_text='产品/CMS名称')\n method = models.CharField(max_length=200, default='keyword', help_text='匹配方式')\n location = models.CharField(max_length=200, default='body', help_text='匹配位置')\n keyword = models.JSONField(default=list, help_text='关键词列表')\n is_important = models.BooleanField(default=False, help_text='是否重点资产')\n type = models.CharField(max_length=100, blank=True, default='-', help_text='分类')\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'ehole_fingerprint'\n verbose_name = 'EHole 指纹'\n verbose_name_plural = 'EHole 指纹'\n ordering = ['-created_at']\n indexes = [\n # 搜索过滤字段索引\n models.Index(fields=['cms']),\n models.Index(fields=['method']),\n models.Index(fields=['location']),\n models.Index(fields=['type']),\n models.Index(fields=['is_important']),\n # 排序字段索引\n models.Index(fields=['-created_at']),\n ]\n constraints = [\n # 唯一约束：cms + method + location 组合不能重复\n models.UniqueConstraint(\n fields=['cms', 'method', 'location'],\n name='unique_ehole_fingerprint'\n ),\n ]\n \n def __str__(self) -> str:\n return f\"{self.cms} ({self.method}@{self.location})\"\n\n\nclass WappalyzerFingerprint(models.Model):\n \"\"\"Wappalyzer 格式指纹规则\n \n Wappalyzer 支持多种检测方式：cookies, headers, scriptSrc, js, meta, html 等\n \"\"\"\n \n name = models.CharField(max_length=300, unique=True, help_text='应用名称')\n cats = models.JSONField(default=list, help_text='分类 ID 数组')\n cookies = models.JSONField(default=dict, blank=True, help_text='Cookie 检测规则')\n headers = models.JSONField(default=dict, blank=True, help_text='HTTP Header 检测规则')\n script_src = models.JSONField(default=list, blank=True, help_text='脚本 URL 正则数组')\n js = models.JSONField(default=list, blank=True, help_text='JavaScript 变量检测规则')\n implies = models.JSONField(default=list, blank=True, help_text='依赖关系数组')\n meta = models.JSONField(default=dict, blank=True, help_text='HTML meta 标签检测规则')\n html = models.JSONField(default=list, blank=True, help_text='HTML 内容正则数组')\n description = models.TextField(blank=True, default='', help_text='应用描述')\n website = models.URLField(max_length=500, blank=True, default='', help_text='官网链接')\n cpe = models.CharField(max_length=300, blank=True, default='', help_text='CPE 标识符')\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'wappalyzer_fingerprint'\n verbose_name = 'Wappalyzer 指纹'\n verbose_name_plural = 'Wappalyzer 指纹'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['name']),\n models.Index(fields=['website']),\n models.Index(fields=['cpe']),\n models.Index(fields=['-created_at']),\n ]\n \n def __str__(self) -> str:\n return f\"{self.name}\"\n\n\nclass FingersFingerprint(models.Model):\n \"\"\"Fingers 格式指纹规则 (fingers_http.json)\n \n 使用正则表达式和标签进行匹配，支持 favicon hash、header、body 等多种检测方式\n \"\"\"\n \n name = models.CharField(max_length=300, unique=True, help_text='指纹名称')\n link = models.URLField(max_length=500, blank=True, default='', help_text='相关链接')\n rule = models.JSONField(default=list, help_text='匹配规则数组')\n tag = models.JSONField(default=list, help_text='标签数组')\n focus = models.BooleanField(default=False, help_text='是否重点关注')\n default_port = models.JSONField(default=list, blank=True, help_text='默认端口数组')\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'fingers_fingerprint'\n verbose_name = 'Fingers 指纹'\n verbose_name_plural = 'Fingers 指纹'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['name']),\n models.Index(fields=['link']),\n models.Index(fields=['focus']),\n models.Index(fields=['-created_at']),\n ]\n \n def __str__(self) -> str:\n return f\"{self.name}\"\n\n\nclass FingerPrintHubFingerprint(models.Model):\n \"\"\"FingerPrintHub 格式指纹规则 (fingerprinthub_web.json)\n \n 基于 nuclei 模板格式，使用 HTTP 请求和响应特征进行匹配\n \"\"\"\n \n fp_id = models.CharField(max_length=200, unique=True, help_text='指纹ID')\n name = models.CharField(max_length=300, help_text='指纹名称')\n author = models.CharField(max_length=200, blank=True, default='', help_text='作者')\n tags = models.CharField(max_length=500, blank=True, default='', help_text='标签')\n severity = models.CharField(max_length=50, blank=True, default='info', help_text='严重程度')\n metadata = models.JSONField(default=dict, blank=True, help_text='元数据')\n http = models.JSONField(default=list, help_text='HTTP 匹配规则')\n source_file = models.CharField(max_length=500, blank=True, default='', help_text='来源文件')\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'fingerprinthub_fingerprint'\n verbose_name = 'FingerPrintHub 指纹'\n verbose_name_plural = 'FingerPrintHub 指纹'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['fp_id']),\n models.Index(fields=['name']),\n models.Index(fields=['author']),\n models.Index(fields=['severity']),\n models.Index(fields=['-created_at']),\n ]\n \n def __str__(self) -> str:\n return f\"{self.name} ({self.fp_id})\"\n\n\nclass ARLFingerprint(models.Model):\n \"\"\"ARL 格式指纹规则 (ARL.yaml)\n \n 使用简单的 name + rule 表达式格式\n \"\"\"\n \n name = models.CharField(max_length=300, unique=True, help_text='指纹名称')\n rule = models.TextField(help_text='匹配规则表达式')\n created_at = models.DateTimeField(auto_now_add=True)\n \n class Meta:\n db_table = 'arl_fingerprint'\n verbose_name = 'ARL 指纹'\n verbose_name_plural = 'ARL 指纹'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['name']),\n models.Index(fields=['-created_at']),\n ]\n \n def __str__(self) -> str:\n return f\"{self.name}\"\n" }, { "path": "backend/apps/engine/repositories/__init__.py", "content": "\"\"\"Engine Repositories 模块\n\n提供 ScanEngine、WorkerNode、Wordlist、NucleiRepo 等数据访问层实现\n\"\"\"\n\nfrom .django_engine_repository import DjangoEngineRepository\nfrom .django_worker_repository import DjangoWorkerRepository\nfrom .django_wordlist_repository import DjangoWordlistRepository\nfrom .nuclei_repo_repository import NucleiTemplateRepository, TemplateFileRepository\n\n__all__ = [\n \"DjangoEngineRepository\",\n \"DjangoWorkerRepository\",\n \"DjangoWordlistRepository\",\n \"NucleiTemplateRepository\",\n \"TemplateFileRepository\",\n]\n" }, { "path": "backend/apps/engine/repositories/django_engine_repository.py", "content": "\"\"\"\nScanEngine 数据访问层 Django ORM 实现\n\n基于 Django ORM 的 ScanEngine Repository 实现类\n\"\"\"\n\nimport logging\n\nfrom ..models import ScanEngine\nfrom apps.common.decorators import auto_ensure_db_connection\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoEngineRepository:\n \"\"\"基于 Django ORM 的 ScanEngine 数据访问层实现\"\"\"\n \n def get_all(self):\n \"\"\"获取所有扫描引擎查询集\"\"\"\n return ScanEngine.objects.all().order_by('-created_at') # type: ignore\n \n def get_by_id(self, engine_id: int) -> ScanEngine | None:\n \"\"\"\n 根据 ID 获取扫描引擎\n \n Args:\n engine_id: 引擎 ID\n \n Returns:\n ScanEngine 对象或 None\n \"\"\"\n try:\n return ScanEngine.objects.get(id=engine_id) # type: ignore\n except ScanEngine.DoesNotExist: # type: ignore\n logger.warning(\"ScanEngine 不存在 - Engine ID: %s\", engine_id)\n return None\n\n\n__all__ = ['DjangoEngineRepository']\n" }, { "path": "backend/apps/engine/repositories/django_wordlist_repository.py", "content": "\"\"\"Wordlist 数据访问层 Django ORM 实现\n\n基于 Django ORM 的 Wordlist Repository 实现类\n\"\"\"\n\nimport logging\n\nfrom apps.engine.models import Wordlist\nfrom apps.common.decorators import auto_ensure_db_connection\n\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoWordlistRepository:\n \"\"\"基于 Django ORM 的 Wordlist 数据访问层实现\"\"\"\n\n def get_queryset(self):\n \"\"\"获取字典查询集\"\"\"\n return Wordlist.objects.all().order_by(\"-created_at\")\n\n def get_by_id(self, wordlist_id: int) -> Wordlist | None:\n \"\"\"根据 ID 获取字典\"\"\"\n try:\n return Wordlist.objects.get(id=wordlist_id)\n except Wordlist.DoesNotExist:\n logger.warning(\"Wordlist 不存在 - ID: %s\", wordlist_id)\n return None\n\n def get_by_name(self, name: str) -> Wordlist | None:\n try:\n return Wordlist.objects.get(name=name)\n except Wordlist.DoesNotExist:\n logger.warning(\"Wordlist 不存在 - 名称: %s\", name)\n return None\n\n def create(self, **kwargs) -> Wordlist:\n \"\"\"创建字典记录\"\"\"\n return Wordlist.objects.create(**kwargs)\n\n def delete(self, wordlist_id: int) -> bool:\n \"\"\"删除字典记录\"\"\"\n wordlist = self.get_by_id(wordlist_id)\n if not wordlist:\n return False\n wordlist.delete()\n return True\n\n\n__all__ = [\"DjangoWordlistRepository\"]\n" }, { "path": "backend/apps/engine/repositories/django_worker_repository.py", "content": "\"\"\"\nWorkerNode 数据访问层 Django ORM 实现\n\n基于 Django ORM 的 WorkerNode Repository 实现类\n\"\"\"\n\nimport logging\nfrom typing import Any\n\nfrom django.utils import timezone\n\nfrom apps.engine.models import WorkerNode\nfrom apps.common.decorators import auto_ensure_db_connection\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoWorkerRepository:\n \"\"\"基于 Django ORM 的 WorkerNode 数据访问层实现\"\"\"\n\n def get_by_id(self, worker_id: int) -> WorkerNode | None:\n \"\"\"根据 ID 获取 Worker 节点\"\"\"\n try:\n return WorkerNode.objects.get(id=worker_id)\n except WorkerNode.DoesNotExist:\n logger.warning(\"WorkerNode 不存在 - ID: %s\", worker_id)\n return None\n\n def get_all(self):\n \"\"\"获取所有 Worker 节点的查询集\"\"\"\n return WorkerNode.objects.all().order_by(\"-created_at\")\n\n def update_status(self, worker_id: int, status: str) -> bool:\n \"\"\"更新 Worker 节点状态\"\"\"\n worker = self.get_by_id(worker_id)\n if not worker:\n return False\n\n worker.status = status\n worker.save(update_fields=[\"status\"])\n logger.info(\"Worker %s 状态更新为: %s\", worker_id, status)\n return True\n\n\n def delete_by_id(self, worker_id: int) -> bool:\n \"\"\"根据 ID 删除 Worker 节点\"\"\"\n worker = self.get_by_id(worker_id)\n if not worker:\n return False\n\n worker.delete()\n logger.info(\"Worker %s 已删除\", worker_id)\n return True\n\n def get_or_create_by_name(\n self, \n name: str, \n is_local: bool = True\n ) -> tuple[WorkerNode, bool]:\n \"\"\"\n 根据名称获取或创建 Worker 节点\n \n 用于本地 Worker 自注册。\n \n Args:\n name: Worker 名称\n is_local: 是否为本地节点\n \n Returns:\n (worker, created) 元组\n \"\"\"\n import socket\n \n # 尝试获取本机 IP\n try:\n hostname = socket.gethostname()\n ip_address = socket.gethostbyname(hostname)\n except Exception:\n ip_address = '127.0.0.1'\n \n worker, created = WorkerNode.objects.get_or_create(\n name=name,\n defaults={\n 'ip_address': ip_address,\n 'is_local': is_local,\n 'status': 'offline', # 等待心跳上报后自动变为 online\n }\n )\n \n if created:\n logger.info(\"本地 Worker 注册成功: %s (IP: %s)\", name, ip_address)\n else:\n logger.debug(\"本地 Worker 已存在: %s\", name)\n \n return worker, created\n\n\n__all__ = [\"DjangoWorkerRepository\"]\n" }, { "path": "backend/apps/engine/repositories/nuclei_repo_repository.py", "content": "\"\"\"Nuclei 模板仓库 Repository 层\n\n本模块包含两个 Repository 类，负责数据访问：\n\n1. NucleiTemplateRepository\n - 职责：ORM 操作，按 ID 查询仓库配置\n - 被 Service 层调用，不直接被 View 调用\n\n2. TemplateFileRepository\n - 职责：文件系统操作，读取模板目录树和文件内容（只读）\n - 按仓库的 local_path 构建，一个仓库对应一个实例\n\n调用链路：\n View → Service → Repository → Model/FileSystem\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\nfrom pathlib import Path\nfrom typing import Dict, List, Optional\n\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.engine.models import NucleiTemplateRepo\n\n\n@auto_ensure_db_connection\nclass NucleiTemplateRepository:\n \"\"\"Nuclei 模板仓库 ORM Repository\n\n 负责与 NucleiTemplateRepo 模型交互，提供按 ID 查询功能。\n CRUD 操作由 DRF ModelViewSet 默认实现，这里只保留 Service 需要的查询方法。\n \"\"\"\n\n def get_by_id(self, repo_id: int) -> Optional[NucleiTemplateRepo]:\n \"\"\"根据 ID 获取仓库对象\n\n Args:\n repo_id: 仓库 ID\n\n Returns:\n NucleiTemplateRepo 对象，不存在返回 None\n \"\"\"\n try:\n return NucleiTemplateRepo.objects.get(id=repo_id)\n except NucleiTemplateRepo.DoesNotExist:\n return None\n\n\nclass TemplateFileRepository:\n \"\"\"模板文件系统 Repository（只读）\n\n 负责读取指定根目录下的 Nuclei 模板文件。\n 每个仓库克隆到本地后，用这个类来读取目录树和文件内容。\n\n Attributes:\n root: 仓库本地根目录路径（即 git clone 的目标目录）\n \"\"\"\n\n def __init__(self, root: Path) -> None:\n \"\"\"初始化文件系统 Repository\n\n Args:\n root: 仓库本地根目录路径（会自动转换为绝对路径）\n \"\"\"\n # 确保存储的是绝对路径\n self.root = root.resolve()\n\n def get_tree(self) -> List[Dict]:\n \"\"\"获取模板目录树结构\n\n 遍历 root 目录，构建树形结构，只包含：\n - 文件夹节点\n - .yaml / .yml 文件节点\n\n Returns:\n 树形结构列表，格式如下：\n [\n {\n \"type\": \"folder\",\n \"name\": \"nuclei-templates\",\n \"path\": \"\",\n \"children\": [\n {\"type\": \"folder\", \"name\": \"http\", \"path\": \"http\", \"children\": [...]},\n {\"type\": \"file\", \"name\": \"example.yaml\", \"path\": \"http/example.yaml\"}\n ]\n }\n ]\n \"\"\"\n # self.root 在 __init__ 中已确保是绝对路径\n root_dir = self.root\n\n # 根节点\n root_node: Dict = {\n \"type\": \"folder\",\n \"name\": root_dir.name or \"root\",\n \"path\": \"\",\n \"children\": [],\n }\n\n # 目录不存在时返回空树\n if not root_dir.exists() or not root_dir.is_dir():\n return [root_node]\n\n # 用于快速查找父节点\n path_to_node: Dict[Path, Dict] = {root_dir: root_node}\n\n # 遍历目录树\n for dirpath, dirnames, filenames in os.walk(root_dir):\n current_dir = Path(dirpath)\n parent_node = path_to_node.get(current_dir)\n if parent_node is None:\n continue\n\n # 添加子目录节点（按名称排序）\n for dirname in sorted(dirnames):\n child_fs_path = current_dir / dirname\n rel = child_fs_path.relative_to(root_dir)\n api_path = rel.as_posix() # 使用 POSIX 风格路径（前端友好）\n\n node: Dict = {\n \"type\": \"folder\",\n \"name\": dirname,\n \"path\": api_path,\n \"children\": [],\n }\n parent_node.setdefault(\"children\", []).append(node)\n path_to_node[child_fs_path] = node\n\n # 添加模板文件节点（仅 .yaml / .yml，按名称排序）\n for filename in sorted(filenames):\n if not (filename.endswith(\".yaml\") or filename.endswith(\".yml\")):\n continue\n\n file_fs_path = current_dir / filename\n rel = file_fs_path.relative_to(root_dir)\n api_path = rel.as_posix()\n\n file_node: Dict = {\n \"type\": \"file\",\n \"name\": filename,\n \"path\": api_path,\n }\n parent_node.setdefault(\"children\", []).append(file_node)\n\n return [root_node]\n\n def get_file_content(self, rel_path: str) -> Optional[Dict]:\n \"\"\"根据相对路径获取模板文件内容\n\n Args:\n rel_path: 相对于 root 的路径，如 \"http/cves/CVE-2021-1234.yaml\"\n\n Returns:\n 成功时返回：\n {\n \"path\": \"http/cves/CVE-2021-1234.yaml\",\n \"name\": \"CVE-2021-1234.yaml\",\n \"content\": \"id: CVE-2021-1234\\ninfo:\\n name: ...\"\n }\n 失败时返回 None（路径无效、文件不存在、读取失败等）\n \"\"\"\n # 清理路径\n rel_path = (rel_path or \"\").strip().lstrip(\"/\")\n if not rel_path:\n return None\n\n # self.root 在 __init__ 中已确保是绝对路径\n base_dir = self.root\n # 拼接后 resolve() 确保解析 .. 等相对路径符号（防止目录遍历攻击）\n target_path = (base_dir / rel_path).resolve()\n\n # 防止目录遍历攻击：确保目标路径在 base_dir 内\n try:\n target_path.relative_to(base_dir)\n except ValueError:\n return None\n\n # 检查文件是否存在\n if not target_path.is_file():\n return None\n\n # 读取文件内容\n try:\n content = target_path.read_text(encoding=\"utf-8\", errors=\"replace\")\n except OSError:\n return None\n\n return {\n \"path\": rel_path,\n \"name\": target_path.name,\n \"content\": content,\n }\n\n\n__all__ = [\"NucleiTemplateRepository\", \"TemplateFileRepository\"]\n" }, { "path": "backend/apps/engine/routing.py", "content": "\"\"\"\nWorker WebSocket 路由配置\n\"\"\"\n\nfrom django.urls import path\nfrom .consumers import WorkerDeployConsumer\n\nwebsocket_urlpatterns = [\n path('ws/workers/<int:worker_id>/deploy/', WorkerDeployConsumer.as_asgi()),\n]\n" }, { "path": "backend/apps/engine/scheduler.py", "content": "\"\"\"\nAPScheduler 定时任务调度器\n\n替代 Prefect Work Pool，用于触发定时任务。\n实际任务执行通过 task_distributor 分发到各 Worker。\n\"\"\"\nimport logging\nfrom apscheduler.schedulers.background import BackgroundScheduler\nfrom apscheduler.triggers.cron import CronTrigger\nfrom apscheduler.triggers.interval import IntervalTrigger\nfrom django.conf import settings\n\nlogger = logging.getLogger(__name__)\n\n# 全局调度器实例\n_scheduler: BackgroundScheduler | None = None\n\n\ndef get_scheduler() -> BackgroundScheduler:\n \"\"\"获取调度器实例\"\"\"\n global _scheduler\n if _scheduler is None:\n _scheduler = BackgroundScheduler(\n timezone=settings.TIME_ZONE,\n job_defaults={\n 'coalesce': True, # 合并错过的任务\n 'max_instances': 1, # 同一任务最多同时运行1个实例\n 'misfire_grace_time': 60 * 5, # 错过5分钟内仍然执行\n }\n )\n return _scheduler\n\n\ndef start_scheduler():\n \"\"\"启动调度器并注册所有定时任务\"\"\"\n scheduler = get_scheduler()\n \n if scheduler.running:\n logger.info(\"调度器已在运行\")\n return\n \n # 注册定时任务\n _register_scheduled_jobs(scheduler)\n \n # 启动调度器\n scheduler.start()\n logger.info(\"✓ APScheduler 定时调度器已启动\")\n\n\ndef shutdown_scheduler():\n \"\"\"关闭调度器\"\"\"\n global _scheduler\n if _scheduler and _scheduler.running:\n _scheduler.shutdown(wait=False)\n logger.info(\"APScheduler 调度器已关闭\")\n _scheduler = None\n\n\ndef _register_scheduled_jobs(scheduler: BackgroundScheduler):\n \"\"\"注册所有定时任务\"\"\"\n \n # 1. 定时扫描任务（检查并执行到期的定时扫描）\n scheduler.add_job(\n _trigger_scheduled_scans,\n trigger=IntervalTrigger(minutes=1), # 每分钟检查并触发到期任务\n id='scheduled_scans',\n name='定时扫描任务',\n replace_existing=True,\n )\n logger.info(\" - 已注册: 定时扫描任务（每分钟）\")\n \n # 2. 资产统计刷新（每小时）\n scheduler.add_job(\n _trigger_statistics_refresh,\n trigger=CronTrigger(minute=0), # 每小时整点\n id='statistics_refresh',\n name='资产统计刷新',\n replace_existing=True,\n )\n logger.info(\" - 已注册: 资产统计刷新（每小时）\")\n \n # 3. 扫描结果清理（每天凌晨3点）\n scheduler.add_job(\n _trigger_cleanup,\n trigger=CronTrigger(hour=3, minute=0),\n id='scan_cleanup',\n name='扫描结果清理',\n replace_existing=True,\n )\n logger.info(\" - 已注册: 扫描结果清理（每天 03:00）\")\n \n # 注意：搜索物化视图刷新已迁移到 pg_ivm 增量维护，无需定时任务\n\n\ndef _trigger_scheduled_scans():\n \"\"\"触发到期的定时扫描任务\"\"\"\n try:\n from apps.scan.services.scheduled_scan_service import ScheduledScanService\n \n service = ScheduledScanService()\n triggered_count = service.trigger_due_scans()\n \n if triggered_count > 0:\n logger.info(f\"定时扫描: 已触发 {triggered_count} 个任务\")\n \n except Exception as e:\n logger.error(f\"定时扫描任务执行失败: {e}\", exc_info=True)\n\n\ndef _trigger_statistics_refresh():\n \"\"\"触发资产统计刷新\"\"\"\n try:\n from apps.asset.services.statistics_service import AssetStatisticsService\n \n service = AssetStatisticsService()\n service.refresh_statistics()\n \n logger.info(\"资产统计刷新完成\")\n \n except Exception as e:\n logger.error(f\"资产统计刷新失败: {e}\", exc_info=True)\n\n\ndef _trigger_cleanup():\n \"\"\"触发扫描结果清理（分发到各 Worker）\"\"\"\n try:\n from apps.engine.services.task_distributor import TaskDistributor\n \n distributor = TaskDistributor()\n results = distributor.execute_cleanup_on_all_workers()\n \n logger.info(f\"扫描清理任务已分发到 {len(results)} 个 Worker\")\n \n except Exception as e:\n logger.error(f\"扫描清理任务分发失败: {e}\", exc_info=True)\n" }, { "path": "backend/apps/engine/serializers/__init__.py", "content": "\"\"\"\nEngine Serializers\n\"\"\"\nfrom .worker_serializer import WorkerNodeSerializer\nfrom .engine_serializer import ScanEngineSerializer\nfrom .wordlist_serializer import WordlistSerializer\nfrom .nuclei_template_repo_serializer import NucleiTemplateRepoSerializer\n\n__all__ = [\n \"WorkerNodeSerializer\",\n \"ScanEngineSerializer\",\n \"WordlistSerializer\",\n \"NucleiTemplateRepoSerializer\",\n]\n" }, { "path": "backend/apps/engine/serializers/engine_serializer.py", "content": "\"\"\"\n扫描引擎序列化器\n\"\"\"\nfrom rest_framework import serializers\nfrom apps.engine.models import ScanEngine\n\n\nclass ScanEngineSerializer(serializers.ModelSerializer):\n \"\"\"扫描引擎序列化器\"\"\"\n \n class Meta:\n model = ScanEngine\n fields = [\n 'id',\n 'name',\n 'configuration',\n 'created_at',\n 'updated_at',\n ]\n read_only_fields = ['id', 'created_at', 'updated_at']\n \n def to_representation(self, instance):\n \"\"\"自定义序列化输出\"\"\"\n data = super().to_representation(instance)\n # 确保 configuration 字段存在且不为 null\n if data.get('configuration') is None:\n data['configuration'] = ''\n return data\n \n def validate_name(self, value):\n \"\"\"验证引擎名称\"\"\"\n if not value.strip():\n raise serializers.ValidationError(\"引擎名称不能为空\")\n return value.strip()\n \n def validate_configuration(self, value):\n \"\"\"验证 YAML 配置\"\"\"\n if value:\n # 可以在这里添加 YAML 格式验证\n import yaml\n try:\n yaml.safe_load(value)\n except yaml.YAMLError as e:\n raise serializers.ValidationError(f\"YAML 格式错误: {str(e)}\")\n return value\n" }, { "path": "backend/apps/engine/serializers/fingerprints/__init__.py", "content": "\"\"\"指纹管理 Serializers\n\n导出所有指纹相关的 Serializer 类\n\"\"\"\n\nfrom .ehole import EholeFingerprintSerializer\nfrom .goby import GobyFingerprintSerializer\nfrom .wappalyzer import WappalyzerFingerprintSerializer\nfrom .fingers import FingersFingerprintSerializer\nfrom .fingerprinthub import FingerPrintHubFingerprintSerializer\nfrom .arl import ARLFingerprintSerializer\n\n__all__ = [\n \"EholeFingerprintSerializer\",\n \"GobyFingerprintSerializer\",\n \"WappalyzerFingerprintSerializer\",\n \"FingersFingerprintSerializer\",\n \"FingerPrintHubFingerprintSerializer\",\n \"ARLFingerprintSerializer\",\n]\n" }, { "path": "backend/apps/engine/serializers/fingerprints/arl.py", "content": "\"\"\"ARL 指纹 Serializer\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import ARLFingerprint\n\n\nclass ARLFingerprintSerializer(serializers.ModelSerializer):\n \"\"\"ARL 指纹序列化器\n \n 字段映射:\n - name: 指纹名称 (必填, 唯一)\n - rule: 匹配规则表达式 (必填)\n \"\"\"\n \n class Meta:\n model = ARLFingerprint\n fields = ['id', 'name', 'rule', 'created_at']\n read_only_fields = ['id', 'created_at']\n \n def validate_name(self, value):\n \"\"\"校验 name 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"name 字段不能为空\")\n return value.strip()\n \n def validate_rule(self, value):\n \"\"\"校验 rule 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"rule 字段不能为空\")\n return value.strip()\n" }, { "path": "backend/apps/engine/serializers/fingerprints/ehole.py", "content": "\"\"\"EHole 指纹 Serializer\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import EholeFingerprint\n\n\nclass EholeFingerprintSerializer(serializers.ModelSerializer):\n \"\"\"EHole 指纹序列化器\"\"\"\n \n class Meta:\n model = EholeFingerprint\n fields = ['id', 'cms', 'method', 'location', 'keyword', \n 'is_important', 'type', 'created_at']\n read_only_fields = ['id', 'created_at']\n \n def validate_cms(self, value):\n \"\"\"校验 cms 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"cms 字段不能为空\")\n return value.strip()\n \n def validate_keyword(self, value):\n \"\"\"校验 keyword 字段\"\"\"\n if not isinstance(value, list):\n raise serializers.ValidationError(\"keyword 必须是数组\")\n return value\n" }, { "path": "backend/apps/engine/serializers/fingerprints/fingerprinthub.py", "content": "\"\"\"FingerPrintHub 指纹 Serializer\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import FingerPrintHubFingerprint\n\n\nclass FingerPrintHubFingerprintSerializer(serializers.ModelSerializer):\n \"\"\"FingerPrintHub 指纹序列化器\n \n 字段映射:\n - fp_id: 指纹ID (必填, 唯一)\n - name: 指纹名称 (必填)\n - author: 作者 (可选)\n - tags: 标签字符串 (可选)\n - severity: 严重程度 (可选, 默认 'info')\n - metadata: 元数据 JSON (可选)\n - http: HTTP 匹配规则数组 (必填)\n - source_file: 来源文件 (可选)\n \"\"\"\n \n class Meta:\n model = FingerPrintHubFingerprint\n fields = ['id', 'fp_id', 'name', 'author', 'tags', 'severity',\n 'metadata', 'http', 'source_file', 'created_at']\n read_only_fields = ['id', 'created_at']\n \n def validate_fp_id(self, value):\n \"\"\"校验 fp_id 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"fp_id 字段不能为空\")\n return value.strip()\n \n def validate_name(self, value):\n \"\"\"校验 name 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"name 字段不能为空\")\n return value.strip()\n \n def validate_http(self, value):\n \"\"\"校验 http 字段\"\"\"\n if not isinstance(value, list):\n raise serializers.ValidationError(\"http 必须是数组\")\n return value\n \n def validate_metadata(self, value):\n \"\"\"校验 metadata 字段\"\"\"\n if not isinstance(value, dict):\n raise serializers.ValidationError(\"metadata 必须是对象\")\n return value\n" }, { "path": "backend/apps/engine/serializers/fingerprints/fingers.py", "content": "\"\"\"Fingers 指纹 Serializer\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import FingersFingerprint\n\n\nclass FingersFingerprintSerializer(serializers.ModelSerializer):\n \"\"\"Fingers 指纹序列化器\n \n 字段映射:\n - name: 指纹名称 (必填, 唯一)\n - link: 相关链接 (可选)\n - rule: 匹配规则数组 (必填)\n - tag: 标签数组 (可选)\n - focus: 是否重点关注 (可选, 默认 False)\n - default_port: 默认端口数组 (可选)\n \"\"\"\n \n class Meta:\n model = FingersFingerprint\n fields = ['id', 'name', 'link', 'rule', 'tag', 'focus', \n 'default_port', 'created_at']\n read_only_fields = ['id', 'created_at']\n \n def validate_name(self, value):\n \"\"\"校验 name 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"name 字段不能为空\")\n return value.strip()\n \n def validate_rule(self, value):\n \"\"\"校验 rule 字段\"\"\"\n if not isinstance(value, list):\n raise serializers.ValidationError(\"rule 必须是数组\")\n return value\n \n def validate_tag(self, value):\n \"\"\"校验 tag 字段\"\"\"\n if not isinstance(value, list):\n raise serializers.ValidationError(\"tag 必须是数组\")\n return value\n \n def validate_default_port(self, value):\n \"\"\"校验 default_port 字段\"\"\"\n if not isinstance(value, list):\n raise serializers.ValidationError(\"default_port 必须是数组\")\n return value\n" }, { "path": "backend/apps/engine/serializers/fingerprints/goby.py", "content": "\"\"\"Goby 指纹 Serializer\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import GobyFingerprint\n\n\nclass GobyFingerprintSerializer(serializers.ModelSerializer):\n \"\"\"Goby 指纹序列化器\"\"\"\n \n class Meta:\n model = GobyFingerprint\n fields = ['id', 'name', 'logic', 'rule', 'created_at']\n read_only_fields = ['id', 'created_at']\n \n def validate_name(self, value):\n \"\"\"校验 name 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"name 字段不能为空\")\n return value.strip()\n \n def validate_rule(self, value):\n \"\"\"校验 rule 字段\"\"\"\n if not isinstance(value, list):\n raise serializers.ValidationError(\"rule 必须是数组\")\n return value\n" }, { "path": "backend/apps/engine/serializers/fingerprints/wappalyzer.py", "content": "\"\"\"Wappalyzer 指纹 Serializer\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import WappalyzerFingerprint\n\n\nclass WappalyzerFingerprintSerializer(serializers.ModelSerializer):\n \"\"\"Wappalyzer 指纹序列化器\"\"\"\n \n class Meta:\n model = WappalyzerFingerprint\n fields = [\n 'id', 'name', 'cats', 'cookies', 'headers', 'script_src',\n 'js', 'implies', 'meta', 'html', 'description', 'website',\n 'cpe', 'created_at'\n ]\n read_only_fields = ['id', 'created_at']\n \n def validate_name(self, value):\n \"\"\"校验 name 字段\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"name 字段不能为空\")\n return value.strip()\n" }, { "path": "backend/apps/engine/serializers/nuclei_template_repo_serializer.py", "content": "\"\"\"Nuclei 模板仓库序列化器\n\n用于 DRF ModelViewSet 的 CRUD 操作，将 NucleiTemplateRepo 模型序列化为 JSON。\n\n字段说明：\n- id: 仓库 ID（只读，自动生成）\n- name: 仓库名称，用于前端展示\n- repo_url: Git 仓库地址，如 https://github.com/projectdiscovery/nuclei-templates.git\n- local_path: 本地克隆路径（只读，由后端自动生成）\n- last_synced_at: 最后同步时间（只读）\n- created_at: 创建时间（只读）\n- updated_at: 更新时间（只读）\n\"\"\"\n\nfrom __future__ import annotations\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import NucleiTemplateRepo\n\n\nclass NucleiTemplateRepoSerializer(serializers.ModelSerializer):\n \"\"\"Nuclei 模板仓库序列化器\n\n 用于仓库的 CRUD API 响应。\n \"\"\"\n\n class Meta:\n model = NucleiTemplateRepo\n fields = [\n \"id\", # 仓库 ID（只读）\n \"name\", # 仓库名称\n \"repo_url\", # Git 仓库地址\n \"local_path\", # 本地克隆路径（只读）\n \"commit_hash\", # 最后同步的 commit hash（只读）\n \"last_synced_at\", # 最后同步时间（只读）\n \"created_at\", # 创建时间（只读）\n \"updated_at\", # 更新时间（只读）\n ]\n read_only_fields = [\n \"id\",\n \"local_path\", # 由后端根据 name 自动生成\n \"commit_hash\", # 由 refresh 操作更新\n \"last_synced_at\", # 由 refresh 操作更新\n \"created_at\",\n \"updated_at\",\n ]\n\n\n__all__ = [\"NucleiTemplateRepoSerializer\"]\n" }, { "path": "backend/apps/engine/serializers/wordlist_serializer.py", "content": "\"\"\"字典文件序列化器\"\"\"\n\nfrom rest_framework import serializers\n\nfrom apps.engine.models import Wordlist\n\n\nclass WordlistSerializer(serializers.ModelSerializer):\n \"\"\"字典文件序列化器\"\"\"\n\n class Meta:\n model = Wordlist\n fields = [\n \"id\",\n \"name\",\n \"description\",\n \"file_path\",\n \"file_size\",\n \"line_count\",\n \"file_hash\",\n \"created_at\",\n \"updated_at\",\n ]\n read_only_fields = [\n \"id\",\n \"file_path\",\n \"file_size\",\n \"line_count\",\n \"file_hash\",\n \"created_at\",\n \"updated_at\",\n ]\n" }, { "path": "backend/apps/engine/serializers/worker_serializer.py", "content": "\"\"\"\nWorker 节点序列化器\n\"\"\"\nfrom rest_framework import serializers\nfrom apps.engine.models import WorkerNode\n\n\nclass WorkerNodeSerializer(serializers.ModelSerializer):\n \"\"\"\n Worker 节点序列化器\n \n 优化：通过 context['loads'] 传入批量查询的 Redis 数据，避免 N+1 查询\n \"\"\"\n \n # 密码只写（不返回给前端）\n password = serializers.CharField(write_only=True, required=False, allow_blank=True)\n \n # 状态（数据库存储 + Redis 心跳补充判断）\n status = serializers.SerializerMethodField()\n \n # 负载数据（从 Redis 读取）\n info = serializers.SerializerMethodField()\n \n class Meta:\n model = WorkerNode\n fields = ['id', 'name', 'ip_address', 'ssh_port', 'username', 'status', \n 'is_local', 'info', 'created_at', 'updated_at', 'password']\n read_only_fields = ['id', 'status', 'is_local', 'info', 'created_at', 'updated_at']\n \n def _get_load_from_context(self, worker_id: int) -> dict | None:\n \"\"\"从 context 获取预加载的负载数据\"\"\"\n loads = self.context.get('loads', {})\n return loads.get(worker_id)\n \n def get_status(self, obj) -> str:\n \"\"\"\n 获取状态（前后端统一）：\n - pending/deploying: 直接返回数据库值\n - online/offline: 通过 Redis 心跳动态判断\n \"\"\"\n # pending 和 deploying 直接返回\n if obj.status in ('pending', 'deploying'):\n return obj.status\n \n # online/offline 通过 Redis 心跳判断\n # 优先从 context 获取（批量查询）\n load = self._get_load_from_context(obj.id)\n if load is not None:\n return 'online'\n \n # 回退：单独查询 Redis\n from apps.engine.services.worker_load_service import worker_load_service\n if worker_load_service.is_online(obj.id):\n return 'online'\n return 'offline'\n \n def get_info(self, obj) -> dict | None:\n \"\"\"获取负载数据\n \n 注意：返回的字典键名使用 camelCase，因为 djangorestframework_camel_case\n 只转换序列化器字段名，不会递归转换 SerializerMethodField 返回的嵌套字典\n \"\"\"\n # 优先从 context 获取（批量查询）\n load = self._get_load_from_context(obj.id)\n if load is not None:\n return {\n 'cpuPercent': load.get('cpu', 0),\n 'memoryPercent': load.get('mem', 0),\n }\n \n # 回退：单独查询 Redis\n from apps.engine.services.worker_load_service import worker_load_service\n load = worker_load_service.get_load(obj.id)\n if load:\n return {\n 'cpuPercent': load.get('cpu', 0),\n 'memoryPercent': load.get('mem', 0),\n }\n return None\n \n def create(self, validated_data):\n \"\"\"创建时保存密码\"\"\"\n return super().create(validated_data)\n \n def update(self, instance, validated_data):\n \"\"\"更新时，如果密码为空则不更新密码\"\"\"\n password = validated_data.get('password', '')\n if not password:\n validated_data.pop('password', None)\n return super().update(instance, validated_data)\n" }, { "path": "backend/apps/engine/services/__init__.py", "content": "\"\"\"\nEngine 服务层\n\"\"\"\n\nfrom .engine_service import EngineService\nfrom .worker_service import WorkerService\nfrom .wordlist_service import WordlistService\nfrom .nuclei_template_repo_service import NucleiTemplateRepoService\nfrom .deploy_service import (\n get_bootstrap_script,\n get_deploy_script,\n get_start_agent_script,\n get_uninstall_script,\n)\n\n__all__ = [\n \"EngineService\",\n \"WorkerService\",\n \"WordlistService\",\n \"NucleiTemplateRepoService\",\n \"get_bootstrap_script\",\n \"get_deploy_script\",\n \"get_start_agent_script\",\n \"get_uninstall_script\",\n]\n" }, { "path": "backend/apps/engine/services/deploy_service.py", "content": "\"\"\"\n远程节点部署脚本服务\n\n脚本文件位置：backend/scripts/worker-deploy/\n- bootstrap.sh: 环境初始化（安装基础依赖）\n- install.sh: 安装 Docker + 拉取镜像\n- uninstall.sh: 卸载脚本\n- start-agent.sh: 启动 agent 容器\n- agent.sh: 心跳上报（在容器内运行）\n\n新架构说明：\n- 远程节点只需安装 Docker 和运行 agent\n- 扫描任务由主服务器通过 SSH docker run 执行\n\"\"\"\n\nfrom pathlib import Path\nfrom django.conf import settings\n\n# 脚本目录\nSCRIPTS_DIR = Path(__file__).parent.parent.parent.parent / \"scripts\" / \"worker-deploy\"\n\n\ndef _read_script(filename: str) -> str:\n \"\"\"读取脚本文件内容\"\"\"\n script_path = SCRIPTS_DIR / filename\n if script_path.exists():\n return script_path.read_text()\n else:\n raise FileNotFoundError(f\"脚本文件不存在: {script_path}\")\n\n\ndef get_bootstrap_script() -> str:\n \"\"\"获取环境初始化脚本\"\"\"\n return _read_script(\"bootstrap.sh\")\n\n\ndef get_deploy_script() -> str:\n \"\"\"获取安装脚本（安装 Docker + 拉取镜像）\"\"\"\n script = _read_script(\"install.sh\")\n # 注入镜像版本配置（确保远程节点使用相同版本）\n docker_user = getattr(settings, 'DOCKER_USER', 'yyhuni')\n image_tag = settings.IMAGE_TAG # 必须有值，settings.py 启动时已校验\n version_export = f'export DOCKER_USER=\"{docker_user}\"\\nexport IMAGE_TAG=\"{image_tag}\"\\n'\n # 在 set -e 后插入版本配置\n script = script.replace('set -e\\n', f'set -e\\n\\n{version_export}', 1)\n return script\n\n\ndef get_uninstall_script() -> str:\n \"\"\"获取卸载脚本\"\"\"\n return _read_script(\"uninstall.sh\")\n\n\ndef get_start_agent_script(\n heartbeat_api_url: str = None,\n worker_id: int = None\n) -> str:\n \"\"\"\n 获取 agent 启动脚本\n \n :param heartbeat_api_url: 心跳上报地址\n :param worker_id: Worker ID\n \"\"\"\n script = _read_script(\"start-agent.sh\")\n \n # 替换变量\n script = script.replace(\"{{HEARTBEAT_API_URL}}\", heartbeat_api_url or '')\n script = script.replace(\"{{WORKER_ID}}\", str(worker_id) if worker_id else '')\n script = script.replace(\"{{WORKER_API_KEY}}\", getattr(settings, 'WORKER_API_KEY', ''))\n \n # 注入镜像版本配置（确保远程节点使用相同版本）\n docker_user = getattr(settings, 'DOCKER_USER', 'yyhuni')\n image_tag = settings.IMAGE_TAG # 必须有值，settings.py 启动时已校验\n version_export = f'export DOCKER_USER=\"{docker_user}\"\\nexport IMAGE_TAG=\"{image_tag}\"\\n'\n # 在 set -e 后插入版本配置\n script = script.replace('set -e\\n', f'set -e\\n\\n{version_export}', 1)\n \n return script\n" }, { "path": "backend/apps/engine/services/engine_service.py", "content": "\"\"\"\nScanEngine 业务逻辑服务层（Service）\n\n负责扫描引擎相关的业务逻辑处理\n\"\"\"\n\nimport logging\n\nfrom ..models import ScanEngine\nfrom ..repositories import DjangoEngineRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass EngineService:\n \"\"\"ScanEngine 业务逻辑服务\"\"\"\n \n def __init__(self):\n \"\"\"初始化服务，注入 Repository 依赖\"\"\"\n self.repo = DjangoEngineRepository()\n \n def get_engine(self, engine_id: int) -> ScanEngine | None:\n \"\"\"\n 获取扫描引擎\n \n Args:\n engine_id: 引擎 ID\n \n Returns:\n ScanEngine 对象或 None\n \"\"\"\n return self.repo.get_by_id(engine_id)\n \n def get_all_engines(self):\n \"\"\"获取所有扫描引擎查询集\"\"\"\n return self.repo.get_all()\n\n\n__all__ = ['EngineService']\n" }, { "path": "backend/apps/engine/services/fingerprints/__init__.py", "content": "\"\"\"指纹管理 Services\n\n导出所有指纹相关的 Service 类\n\"\"\"\n\nfrom .base import BaseFingerprintService\nfrom .ehole import EholeFingerprintService\nfrom .goby import GobyFingerprintService\nfrom .wappalyzer import WappalyzerFingerprintService\nfrom .fingers_service import FingersFingerprintService\nfrom .fingerprinthub_service import FingerPrintHubFingerprintService\nfrom .arl_service import ARLFingerprintService\n\n__all__ = [\n \"BaseFingerprintService\",\n \"EholeFingerprintService\",\n \"GobyFingerprintService\",\n \"WappalyzerFingerprintService\",\n \"FingersFingerprintService\",\n \"FingerPrintHubFingerprintService\",\n \"ARLFingerprintService\",\n]\n" }, { "path": "backend/apps/engine/services/fingerprints/arl_service.py", "content": "\"\"\"ARL 指纹管理 Service\n\n实现 ARL 格式指纹的校验、转换和导出逻辑\n支持 YAML 格式的导入导出\n\"\"\"\n\nimport logging\nimport yaml\n\nfrom apps.engine.models import ARLFingerprint\nfrom .base import BaseFingerprintService\n\nlogger = logging.getLogger(__name__)\n\n\nclass ARLFingerprintService(BaseFingerprintService):\n \"\"\"ARL 指纹管理服务（继承基类，实现 ARL 特定逻辑）\"\"\"\n \n model = ARLFingerprint\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条 ARL 指纹\n \n 校验规则：\n - name 字段必须存在且非空\n - rule 字段必须存在且非空\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n name = item.get('name', '')\n rule = item.get('rule', '')\n return bool(name and str(name).strip()) and bool(rule and str(rule).strip())\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换 ARL YAML 格式为 Model 字段\n \n Args:\n item: 原始 ARL YAML 数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n return {\n 'name': str(item.get('name', '')).strip(),\n 'rule': str(item.get('rule', '')).strip(),\n }\n \n def get_export_data(self) -> list:\n \"\"\"\n 获取导出数据（ARL 格式 - 数组，用于 YAML 导出）\n \n Returns:\n list: ARL 格式的数据（数组格式）\n [\n {\"name\": \"...\", \"rule\": \"...\"},\n ...\n ]\n \"\"\"\n fingerprints = self.model.objects.all()\n return [\n {\n 'name': fp.name,\n 'rule': fp.rule,\n }\n for fp in fingerprints\n ]\n \n def export_to_yaml(self, output_path: str) -> int:\n \"\"\"\n 导出所有指纹到 YAML 文件\n \n Args:\n output_path: 输出文件路径\n \n Returns:\n int: 导出的指纹数量\n \"\"\"\n data = self.get_export_data()\n with open(output_path, 'w', encoding='utf-8') as f:\n yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)\n count = len(data)\n logger.info(\"导出 ARL 指纹文件: %s, 数量: %d\", output_path, count)\n return count\n \n def parse_yaml_import(self, yaml_content: str) -> list:\n \"\"\"\n 解析 YAML 格式的导入内容\n \n Args:\n yaml_content: YAML 格式的字符串内容\n \n Returns:\n list: 解析后的指纹数据列表\n \n Raises:\n ValueError: 当 YAML 格式无效时\n \"\"\"\n try:\n data = yaml.safe_load(yaml_content)\n if not isinstance(data, list):\n raise ValueError(\"ARL YAML 文件必须是数组格式\")\n return data\n except yaml.YAMLError as e:\n raise ValueError(f\"无效的 YAML 格式: {e}\")\n" }, { "path": "backend/apps/engine/services/fingerprints/base.py", "content": "\"\"\"指纹管理基类 Service\n\n提供通用的批量操作和缓存逻辑，供 EHole/Goby/Wappalyzer 等子类继承\n\"\"\"\n\nimport json\nimport logging\nfrom typing import Any\n\nlogger = logging.getLogger(__name__)\n\n\nclass BaseFingerprintService:\n \"\"\"指纹管理基类 Service，提供通用的批量操作和缓存逻辑\"\"\"\n \n model = None # 子类必须指定\n BATCH_SIZE = 1000 # 每批处理数量\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条指纹，子类必须实现\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n raise NotImplementedError(\"子类必须实现 validate_fingerprint 方法\")\n \n def validate_fingerprints(self, raw_data: list) -> tuple[list, list]:\n \"\"\"\n 批量校验指纹数据\n \n Args:\n raw_data: 原始指纹数据列表\n \n Returns:\n tuple: (valid_items, invalid_items)\n \"\"\"\n valid, invalid = [], []\n for item in raw_data:\n if self.validate_fingerprint(item):\n valid.append(item)\n else:\n invalid.append(item)\n return valid, invalid\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换为 Model 字段，子类必须实现\n \n Args:\n item: 原始指纹数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n raise NotImplementedError(\"子类必须实现 to_model_data 方法\")\n\n def bulk_create(self, fingerprints: list) -> int:\n \"\"\"\n 批量创建指纹记录（已校验的数据）\n \n Args:\n fingerprints: 已校验的指纹数据列表\n \n Returns:\n int: 成功创建数量\n \"\"\"\n if not fingerprints:\n return 0\n \n objects = [self.model(**self.to_model_data(item)) for item in fingerprints]\n created = self.model.objects.bulk_create(objects, ignore_conflicts=True)\n return len(created)\n \n def batch_create_fingerprints(self, raw_data: list) -> dict:\n \"\"\"\n 完整流程：分批校验 + 批量创建\n \n Args:\n raw_data: 原始指纹数据列表\n \n Returns:\n dict: {'created': int, 'failed': int}\n \"\"\"\n total_created = 0\n total_failed = 0\n \n for i in range(0, len(raw_data), self.BATCH_SIZE):\n batch = raw_data[i:i + self.BATCH_SIZE]\n valid, invalid = self.validate_fingerprints(batch)\n total_created += self.bulk_create(valid)\n total_failed += len(invalid)\n \n logger.info(\n \"批量创建指纹完成: created=%d, failed=%d, total=%d\",\n total_created, total_failed, len(raw_data)\n )\n return {'created': total_created, 'failed': total_failed}\n \n def get_export_data(self) -> dict:\n \"\"\"\n 获取导出数据，子类必须实现\n \n Returns:\n dict: 导出的 JSON 数据\n \"\"\"\n raise NotImplementedError(\"子类必须实现 get_export_data 方法\")\n \n def export_to_file(self, output_path: str) -> int:\n \"\"\"\n 导出所有指纹到 JSON 文件\n \n Args:\n output_path: 输出文件路径\n \n Returns:\n int: 导出的指纹数量\n \"\"\"\n data = self.get_export_data()\n with open(output_path, 'w', encoding='utf-8') as f:\n json.dump(data, f, ensure_ascii=False)\n count = len(data.get('fingerprint', []))\n logger.info(\"导出指纹文件: %s, 数量: %d\", output_path, count)\n return count\n \n def get_fingerprint_version(self) -> str:\n \"\"\"\n 获取指纹库版本标识（用于缓存校验）\n \n Returns:\n str: 版本标识，格式 \"{count}_{latest_timestamp}\"\n \n 版本变化场景：\n - 新增记录 → count 变化\n - 删除记录 → count 变化\n - 清空全部 → count 变为 0\n \"\"\"\n count = self.model.objects.count()\n latest = self.model.objects.order_by('-created_at').first()\n latest_ts = int(latest.created_at.timestamp()) if latest else 0\n return f\"{count}_{latest_ts}\"\n" }, { "path": "backend/apps/engine/services/fingerprints/ehole.py", "content": "\"\"\"EHole 指纹管理 Service\n\n实现 EHole 格式指纹的校验、转换和导出逻辑\n\"\"\"\n\nfrom apps.engine.models import EholeFingerprint\nfrom .base import BaseFingerprintService\n\n\nclass EholeFingerprintService(BaseFingerprintService):\n \"\"\"EHole 指纹管理服务（继承基类，实现 EHole 特定逻辑）\"\"\"\n \n model = EholeFingerprint\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条 EHole 指纹\n \n 校验规则：\n - cms 字段必须存在且非空\n - keyword 字段必须是数组\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n cms = item.get('cms', '')\n keyword = item.get('keyword')\n return bool(cms and str(cms).strip()) and isinstance(keyword, list)\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换 EHole JSON 格式为 Model 字段\n \n 字段映射：\n - isImportant (JSON) → is_important (Model)\n \n Args:\n item: 原始 EHole JSON 数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n return {\n 'cms': str(item.get('cms', '')).strip(),\n 'method': item.get('method', 'keyword'),\n 'location': item.get('location', 'body'),\n 'keyword': item.get('keyword', []),\n 'is_important': item.get('isImportant', False),\n 'type': item.get('type', '-'),\n }\n \n def get_export_data(self) -> dict:\n \"\"\"\n 获取导出数据（EHole JSON 格式）\n \n Returns:\n dict: EHole 格式的 JSON 数据\n {\n \"fingerprint\": [\n {\"cms\": \"...\", \"method\": \"...\", \"location\": \"...\", \n \"keyword\": [...], \"isImportant\": false, \"type\": \"...\"},\n ...\n ],\n \"version\": \"1000_1703836800\"\n }\n \"\"\"\n fingerprints = self.model.objects.all()\n data = []\n for fp in fingerprints:\n data.append({\n 'cms': fp.cms,\n 'method': fp.method,\n 'location': fp.location,\n 'keyword': fp.keyword,\n 'isImportant': fp.is_important, # 转回 JSON 格式\n 'type': fp.type,\n })\n return {\n 'fingerprint': data,\n 'version': self.get_fingerprint_version(),\n }\n" }, { "path": "backend/apps/engine/services/fingerprints/fingerprinthub_service.py", "content": "\"\"\"FingerPrintHub 指纹管理 Service\n\n实现 FingerPrintHub 格式指纹的校验、转换和导出逻辑\n\"\"\"\n\nfrom apps.engine.models import FingerPrintHubFingerprint\nfrom .base import BaseFingerprintService\n\n\nclass FingerPrintHubFingerprintService(BaseFingerprintService):\n \"\"\"FingerPrintHub 指纹管理服务（继承基类，实现 FingerPrintHub 特定逻辑）\"\"\"\n \n model = FingerPrintHubFingerprint\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条 FingerPrintHub 指纹\n \n 校验规则：\n - id 字段必须存在且非空\n - info 字段必须存在且包含 name\n - http 字段必须是数组\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n fp_id = item.get('id', '')\n info = item.get('info', {})\n http = item.get('http')\n \n if not fp_id or not str(fp_id).strip():\n return False\n if not isinstance(info, dict) or not info.get('name'):\n return False\n if not isinstance(http, list):\n return False\n \n return True\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换 FingerPrintHub JSON 格式为 Model 字段\n \n 字段映射（嵌套结构转扁平）：\n - id (JSON) → fp_id (Model)\n - info.name (JSON) → name (Model)\n - info.author (JSON) → author (Model)\n - info.tags (JSON) → tags (Model)\n - info.severity (JSON) → severity (Model)\n - info.metadata (JSON) → metadata (Model)\n - http (JSON) → http (Model)\n - _source_file (JSON) → source_file (Model)\n \n Args:\n item: 原始 FingerPrintHub JSON 数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n info = item.get('info', {})\n return {\n 'fp_id': str(item.get('id', '')).strip(),\n 'name': str(info.get('name', '')).strip(),\n 'author': info.get('author', ''),\n 'tags': info.get('tags', ''),\n 'severity': info.get('severity', 'info'),\n 'metadata': info.get('metadata', {}),\n 'http': item.get('http', []),\n 'source_file': item.get('_source_file', ''),\n }\n \n def get_export_data(self) -> list:\n \"\"\"\n 获取导出数据（FingerPrintHub JSON 格式 - 数组）\n \n Returns:\n list: FingerPrintHub 格式的 JSON 数据（数组格式）\n [\n {\n \"id\": \"...\",\n \"info\": {\"name\": \"...\", \"author\": \"...\", \"tags\": \"...\", \n \"severity\": \"...\", \"metadata\": {...}},\n \"http\": [...],\n \"_source_file\": \"...\"\n },\n ...\n ]\n \"\"\"\n fingerprints = self.model.objects.all()\n data = []\n for fp in fingerprints:\n item = {\n 'id': fp.fp_id,\n 'info': {\n 'name': fp.name,\n 'author': fp.author,\n 'tags': fp.tags,\n 'severity': fp.severity,\n 'metadata': fp.metadata,\n },\n 'http': fp.http,\n }\n # 只有当 source_file 非空时才添加该字段\n if fp.source_file:\n item['_source_file'] = fp.source_file\n data.append(item)\n return data\n" }, { "path": "backend/apps/engine/services/fingerprints/fingers_service.py", "content": "\"\"\"Fingers 指纹管理 Service\n\n实现 Fingers 格式指纹的校验、转换和导出逻辑\n\"\"\"\n\nfrom apps.engine.models import FingersFingerprint\nfrom .base import BaseFingerprintService\n\n\nclass FingersFingerprintService(BaseFingerprintService):\n \"\"\"Fingers 指纹管理服务（继承基类，实现 Fingers 特定逻辑）\"\"\"\n \n model = FingersFingerprint\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条 Fingers 指纹\n \n 校验规则：\n - name 字段必须存在且非空\n - rule 字段必须是数组\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n name = item.get('name', '')\n rule = item.get('rule')\n return bool(name and str(name).strip()) and isinstance(rule, list)\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换 Fingers JSON 格式为 Model 字段\n \n 字段映射：\n - default_port (JSON) → default_port (Model)\n \n Args:\n item: 原始 Fingers JSON 数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n return {\n 'name': str(item.get('name', '')).strip(),\n 'link': item.get('link', ''),\n 'rule': item.get('rule', []),\n 'tag': item.get('tag', []),\n 'focus': item.get('focus', False),\n 'default_port': item.get('default_port', []),\n }\n \n def get_export_data(self) -> list:\n \"\"\"\n 获取导出数据（Fingers JSON 格式 - 数组）\n \n Returns:\n list: Fingers 格式的 JSON 数据（数组格式）\n [\n {\"name\": \"...\", \"link\": \"...\", \"rule\": [...], \"tag\": [...], \n \"focus\": false, \"default_port\": [...]},\n ...\n ]\n \"\"\"\n fingerprints = self.model.objects.all()\n data = []\n for fp in fingerprints:\n item = {\n 'name': fp.name,\n 'link': fp.link,\n 'rule': fp.rule,\n 'tag': fp.tag,\n }\n # 只有当 focus 为 True 时才添加该字段（保持与原始格式一致）\n if fp.focus:\n item['focus'] = fp.focus\n # 只有当 default_port 非空时才添加该字段\n if fp.default_port:\n item['default_port'] = fp.default_port\n data.append(item)\n return data\n" }, { "path": "backend/apps/engine/services/fingerprints/goby.py", "content": "\"\"\"Goby 指纹管理 Service\n\n实现 Goby 格式指纹的校验、转换和导出逻辑\n\"\"\"\n\nfrom apps.engine.models import GobyFingerprint\nfrom .base import BaseFingerprintService\n\n\nclass GobyFingerprintService(BaseFingerprintService):\n \"\"\"Goby 指纹管理服务（继承基类，实现 Goby 特定逻辑）\"\"\"\n \n model = GobyFingerprint\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条 Goby 指纹\n \n 支持两种格式：\n 1. 标准格式: {\"name\": \"...\", \"logic\": \"...\", \"rule\": [...]}\n 2. JSONL 格式: {\"product\": \"...\", \"rule\": \"...\"}\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n # 标准格式：name + logic + rule(数组)\n name = item.get('name', '')\n if name and item.get('logic') is not None and isinstance(item.get('rule'), list):\n return bool(str(name).strip())\n \n # JSONL 格式：product + rule(字符串)\n product = item.get('product', '')\n rule = item.get('rule', '')\n return bool(product and str(product).strip() and rule and str(rule).strip())\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换 Goby JSON 格式为 Model 字段\n \n 支持两种输入格式：\n 1. 标准格式: {\"name\": \"...\", \"logic\": \"...\", \"rule\": [...]}\n 2. JSONL 格式: {\"product\": \"...\", \"rule\": \"...\"}\n \n Args:\n item: 原始 Goby JSON 数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n # 标准格式\n if 'name' in item and isinstance(item.get('rule'), list):\n return {\n 'name': str(item.get('name', '')).strip(),\n 'logic': item.get('logic', ''),\n 'rule': item.get('rule', []),\n }\n \n # JSONL 格式：将 rule 字符串转为单元素数组\n return {\n 'name': str(item.get('product', '')).strip(),\n 'logic': 'or', # JSONL 格式默认 or 逻辑\n 'rule': [item.get('rule', '')] if item.get('rule') else [],\n }\n \n def get_export_data(self) -> list:\n \"\"\"\n 获取导出数据（Goby JSON 格式 - 数组）\n \n Returns:\n list: Goby 格式的 JSON 数据（数组格式）\n [\n {\"name\": \"...\", \"logic\": \"...\", \"rule\": [...]},\n ...\n ]\n \"\"\"\n fingerprints = self.model.objects.all()\n return [\n {\n 'name': fp.name,\n 'logic': fp.logic,\n 'rule': fp.rule,\n }\n for fp in fingerprints\n ]\n" }, { "path": "backend/apps/engine/services/fingerprints/wappalyzer.py", "content": "\"\"\"Wappalyzer 指纹管理 Service\n\n实现 Wappalyzer 格式指纹的校验、转换和导出逻辑\n\"\"\"\n\nfrom apps.engine.models import WappalyzerFingerprint\nfrom .base import BaseFingerprintService\n\n\nclass WappalyzerFingerprintService(BaseFingerprintService):\n \"\"\"Wappalyzer 指纹管理服务（继承基类，实现 Wappalyzer 特定逻辑）\"\"\"\n \n model = WappalyzerFingerprint\n \n def validate_fingerprint(self, item: dict) -> bool:\n \"\"\"\n 校验单条 Wappalyzer 指纹\n \n 校验规则：\n - name 字段必须存在且非空（从 apps 对象的 key 传入）\n \n Args:\n item: 单条指纹数据\n \n Returns:\n bool: 是否有效\n \"\"\"\n name = item.get('name', '')\n return bool(name and str(name).strip())\n \n def to_model_data(self, item: dict) -> dict:\n \"\"\"\n 转换 Wappalyzer JSON 格式为 Model 字段\n \n 字段映射：\n - scriptSrc (JSON) → script_src (Model)\n \n Args:\n item: 原始 Wappalyzer JSON 数据\n \n Returns:\n dict: Model 字段数据\n \"\"\"\n return {\n 'name': str(item.get('name', '')).strip(),\n 'cats': item.get('cats', []),\n 'cookies': item.get('cookies', {}),\n 'headers': item.get('headers', {}),\n 'script_src': item.get('scriptSrc', []), # JSON: scriptSrc -> Model: script_src\n 'js': item.get('js', []),\n 'implies': item.get('implies', []),\n 'meta': item.get('meta', {}),\n 'html': item.get('html', []),\n 'description': item.get('description', ''),\n 'website': item.get('website', ''),\n 'cpe': item.get('cpe', ''),\n }\n \n def get_export_data(self) -> dict:\n \"\"\"\n 获取导出数据（Wappalyzer JSON 格式）\n \n Returns:\n dict: Wappalyzer 格式的 JSON 数据\n {\n \"apps\": {\n \"AppName\": {\"cats\": [...], \"cookies\": {...}, ...},\n ...\n }\n }\n \"\"\"\n fingerprints = self.model.objects.all()\n apps = {}\n for fp in fingerprints:\n app_data = {}\n if fp.cats:\n app_data['cats'] = fp.cats\n if fp.cookies:\n app_data['cookies'] = fp.cookies\n if fp.headers:\n app_data['headers'] = fp.headers\n if fp.script_src:\n app_data['scriptSrc'] = fp.script_src # Model: script_src -> JSON: scriptSrc\n if fp.js:\n app_data['js'] = fp.js\n if fp.implies:\n app_data['implies'] = fp.implies\n if fp.meta:\n app_data['meta'] = fp.meta\n if fp.html:\n app_data['html'] = fp.html\n if fp.description:\n app_data['description'] = fp.description\n if fp.website:\n app_data['website'] = fp.website\n if fp.cpe:\n app_data['cpe'] = fp.cpe\n apps[fp.name] = app_data\n return {'apps': apps}\n" }, { "path": "backend/apps/engine/services/nuclei_template_repo_service.py", "content": "\"\"\"Nuclei 模板仓库业务 Service 层\n\n本模块封装 Nuclei 多仓库的核心业务逻辑：\n\n1. Git 同步（refresh_repo）\n - 首次调用：git clone --depth 1\n - 后续调用：git pull --ff-only\n - 自动更新 last_synced_at 和 local_path\n\n2. 模板只读浏览\n - get_template_tree: 获取目录树结构\n - get_template_content: 获取单个模板文件内容\n\n注意：仓库的 CRUD 操作由 DRF ModelViewSet 默认实现，不在 Service 层处理。\n\n调用链路：\n View.refresh() → Service.refresh_repo() → subprocess(git)\n View.templates_tree() → Service.get_template_tree() → Repository.get_tree()\n View.templates_content() → Service.get_template_content() → Repository.get_file_content()\n\n配置项（settings.py）：\n NUCLEI_TEMPLATES_REPOS_BASE_DIR: 仓库本地存储根目录，默认 /opt/xingrin/nuclei-repos\n\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nimport shutil\nfrom pathlib import Path\nfrom typing import Any, Dict, List, Optional\n\nfrom django.conf import settings\nfrom django.core.exceptions import ValidationError\nfrom django.utils import timezone\n\nfrom apps.engine.repositories import NucleiTemplateRepository, TemplateFileRepository\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass NucleiTemplateRepoService:\n \"\"\"Nuclei 多仓库业务 Service\n\n 负责 Git 同步和模板只读浏览逻辑。\n 通过依赖注入 Repository，方便单元测试。\n\n Attributes:\n repo: NucleiTemplateRepository 实例，用于 ORM 操作\n \"\"\"\n\n def __init__(self, repository: NucleiTemplateRepository | None = None) -> None:\n \"\"\"初始化 Service\n\n Args:\n repository: 可选，注入 NucleiTemplateRepository 实例（用于测试）\n \"\"\"\n self.repo = repository or NucleiTemplateRepository()\n\n # ==================== 内部辅助方法 ====================\n\n def _get_repo_obj(self, repo_id: int):\n \"\"\"获取仓库对象\n\n Args:\n repo_id: 仓库 ID\n\n Returns:\n NucleiTemplateRepo 对象\n\n Raises:\n ValidationError: 仓库不存在时抛出\n \"\"\"\n obj = self.repo.get_by_id(repo_id)\n if not obj:\n raise ValidationError(\"仓库不存在\")\n return obj\n\n def _get_base_dir(self) -> Path:\n \"\"\"获取仓库本地存储根目录\n\n 从 settings.NUCLEI_TEMPLATES_REPOS_BASE_DIR 读取，默认 /opt/xingrin/nuclei-repos。\n 如果目录不存在会自动创建。\n\n Returns:\n 根目录 Path 对象\n \"\"\"\n base_dir = getattr(settings, \"NUCLEI_TEMPLATES_REPOS_BASE_DIR\", \"/opt/xingrin/nuclei-repos\")\n path = Path(base_dir).resolve()\n path.mkdir(parents=True, exist_ok=True)\n return path\n\n def remove_local_path_dir(self, repo_obj) -> None:\n \"\"\"删除与仓库关联的本地目录（如果存在）\n\n 只会删除位于 NUCLEI_TEMPLATES_REPOS_BASE_DIR 下的目录，避免误删其它路径。\n\n Args:\n repo_obj: NucleiTemplateRepo 实例\n \"\"\"\n raw = (getattr(repo_obj, \"local_path\", \"\") or \"\").strip()\n if not raw:\n return\n\n base_dir = self._get_base_dir()\n path = Path(raw).expanduser().resolve()\n\n # 仅允许删除 base_dir 下的子目录\n try:\n path.relative_to(base_dir)\n except ValueError:\n return\n\n if not path.exists() or not path.is_dir():\n return\n\n try:\n shutil.rmtree(path)\n except OSError:\n # 删除失败时记录日志但不阻塞主流程\n logger.warning(\"删除 nuclei 本地目录失败: %s\", path, exc_info=True)\n\n def ensure_local_path(self, repo_obj) -> Path:\n \"\"\"确保仓库的本地路径存在并返回 Path\n\n 规则：\n - 如果 repo.local_path 已有值：\n - 展开 ~ 并 resolve() 为绝对路径\n - 如果尚未设置：\n - 使用 baseDir/nameSlug 生成目录，例如：\n /opt/xingrin/nuclei-repos/di-san-fang-mo-ban\n - 如果 name 不可 slugify，则退化为 repo-<id>\n\n 任何情况下都会保证目标目录已创建。\n\n Args:\n repo_obj: NucleiTemplateRepo 实例\n\n Returns:\n 本地目录的绝对 Path\n \"\"\"\n from django.utils.text import slugify\n\n # 已有 local_path，直接规范化为绝对路径\n if getattr(repo_obj, \"local_path\", None):\n path = Path(repo_obj.local_path).expanduser().resolve()\n else:\n base_dir = self._get_base_dir()\n # 根据仓库名称生成 slug，避免中文/空格等问题\n raw_name = (repo_obj.name or \"\").strip()\n slug = slugify(raw_name) if raw_name else \"\"\n if not slug:\n slug = f\"repo-{repo_obj.id}\"\n path = (base_dir / slug).resolve()\n repo_obj.local_path = str(path)\n repo_obj.save(update_fields=[\"local_path\"])\n\n path.mkdir(parents=True, exist_ok=True)\n return path\n\n # ==================== Git 同步 ====================\n\n def refresh_repo(self, repo_id: int) -> Dict[str, Any]:\n \"\"\"同步仓库（Git clone 或 pull）\n\n 根据 local_path 是否存在 .git 目录判断：\n - 不存在：执行 git clone --depth 1（浅克隆，节省空间）\n - 存在：执行 git pull --ff-only（快进合并）\n\n 同步成功后会更新数据库中的 last_synced_at 和 local_path。\n\n Args:\n repo_id: 仓库 ID\n\n Returns:\n {\n \"repoId\": 1,\n \"action\": \"clone\" | \"pull\",\n \"localPath\": \"/opt/xingrin/nuclei-repos/my-templates\",\n \"stdout\": \"...\",\n \"stderr\": \"...\"\n }\n\n Raises:\n ValidationError: 仓库不存在\n RuntimeError: Git 命令执行失败\n \"\"\"\n import subprocess\n\n obj = self._get_repo_obj(repo_id)\n\n # 确保本地路径已生成并为绝对路径\n local_path = self.ensure_local_path(obj)\n\n git_dir = local_path / \".git\"\n cmd: List[str]\n action: str\n\n # 直接使用原始 URL（不再使用 Git 加速）\n repo_url = obj.repo_url\n\n # 判断是 clone 还是 pull\n if git_dir.is_dir():\n # 检查远程地址是否变化\n current_remote = subprocess.run(\n [\"git\", \"-C\", str(local_path), \"remote\", \"get-url\", \"origin\"],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n current_url = current_remote.stdout.strip() if current_remote.returncode == 0 else \"\"\n \n # 检查是否需要重新 clone\n if current_url != repo_url:\n # 远程地址变化，删除旧目录重新 clone\n logger.info(\"nuclei 模板仓库 %s 远程地址变化，重新 clone: %s -> %s\", obj.id, current_url, repo_url)\n shutil.rmtree(local_path)\n local_path.mkdir(parents=True, exist_ok=True)\n cmd = [\"git\", \"clone\", \"--depth\", \"1\", repo_url, str(local_path)]\n action = \"clone\"\n else:\n # 已有仓库且地址未变，执行 pull\n cmd = [\"git\", \"-C\", str(local_path), \"pull\", \"--ff-only\"]\n action = \"pull\"\n else:\n # 新仓库，执行 clone\n if local_path.exists() and not local_path.is_dir():\n raise RuntimeError(f\"本地路径已存在且不是目录: {local_path}\")\n # --depth 1 浅克隆，只获取最新提交，节省空间和时间\n cmd = [\"git\", \"clone\", \"--depth\", \"1\", repo_url, str(local_path)]\n action = \"clone\"\n\n # 执行 Git 命令\n result = subprocess.run(\n cmd,\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n\n # 检查执行结果\n if result.returncode != 0:\n logger.warning(\"nuclei 模板仓库 %s git %s 失败: %s\", obj.id, action, result.stderr.strip())\n raise RuntimeError(\"Git 同步失败\")\n\n # 获取当前 commit hash\n commit_result = subprocess.run(\n [\"git\", \"-C\", str(local_path), \"rev-parse\", \"HEAD\"],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n commit_hash = commit_result.stdout.strip() if commit_result.returncode == 0 else \"\"\n\n # 同步成功，更新数据库（包含 commit_hash）\n obj.last_synced_at = timezone.now()\n obj.local_path = str(local_path)\n obj.commit_hash = commit_hash\n obj.save(update_fields=[\"last_synced_at\", \"local_path\", \"commit_hash\"])\n\n logger.info(\n \"nuclei 模板仓库 %s git %s 成功, commit=%s\",\n obj.id, action, commit_hash[:8] if commit_hash else \"N/A\"\n )\n\n return {\n \"repoId\": obj.id,\n \"action\": action,\n \"localPath\": str(local_path),\n \"commitHash\": commit_hash,\n \"stdout\": result.stdout,\n \"stderr\": result.stderr,\n }\n\n # ==================== 模板树与内容（只读） ====================\n\n def _get_fs_repo(self, repo_id: int) -> TemplateFileRepository:\n \"\"\"获取文件系统 Repository 实例\n\n Args:\n repo_id: 仓库 ID\n\n Returns:\n TemplateFileRepository 实例\n\n Raises:\n ValidationError: 仓库不存在\n \"\"\"\n obj = self._get_repo_obj(repo_id)\n # 确保本地路径已生成并为绝对路径\n root = self.ensure_local_path(obj)\n # 传入绝对路径给 Repository\n return TemplateFileRepository(root=root)\n\n def get_template_tree(self, repo_id: int) -> List[Dict[str, Any]]:\n \"\"\"获取仓库的模板目录树\n\n Args:\n repo_id: 仓库 ID\n\n Returns:\n 目录树结构，详见 TemplateFileRepository.get_tree()\n \"\"\"\n fs_repo = self._get_fs_repo(repo_id)\n return fs_repo.get_tree()\n\n def get_template_content(self, repo_id: int, rel_path: str) -> Optional[Dict[str, Any]]:\n \"\"\"获取单个模板文件内容\n\n Args:\n repo_id: 仓库 ID\n rel_path: 相对路径，如 \"http/cves/CVE-2021-1234.yaml\"\n\n Returns:\n 文件内容，详见 TemplateFileRepository.get_file_content()\n 文件不存在或读取失败返回 None\n \"\"\"\n fs_repo = self._get_fs_repo(repo_id)\n return fs_repo.get_file_content(rel_path)\n\n\n__all__ = [\"NucleiTemplateRepoService\"]\n" }, { "path": "backend/apps/engine/services/task_distributor.py", "content": "\"\"\"\n负载感知任务分发器\n\n根据 Worker 负载动态分发任务，支持本地和远程 Worker。\n\n核心逻辑：\n1. 查询所有在线 Worker 的负载（从心跳数据）\n2. 选择负载最低的 Worker（可能是本地或远程）\n3. 本地 Worker：直接执行 docker run\n4. 远程 Worker：通过 SSH 执行 docker run\n5. 任务执行完自动销毁容器（--rm）\n\n镜像版本管理：\n- 版本锁定：使用 settings.IMAGE_TAG 确保 server 和 worker 版本一致\n- 预拉取策略：安装时预拉取镜像，执行时使用 --pull=missing\n- 本地开发：可通过 TASK_EXECUTOR_IMAGE 环境变量指向本地镜像\n\n环境变量注入：\n- Worker 容器不使用 env_file，通过 docker run -e 动态注入\n- 只注入 SERVER_URL，容器启动后从配置中心获取完整配置\n- 本地 Worker：SERVER_URL = http://server:{port}（Docker 内部网络）\n- 远程 Worker：SERVER_URL = http://{public_host}:{port}（公网地址）\n\n任务启动流程：\n1. Server 调用 execute_scan_flow() 等方法提交任务\n2. select_best_worker() 从 Redis 读取心跳数据，选择负载最低的节点\n3. _build_docker_command() 构建完整的 docker run 命令：\n - 设置网络（本地加入 Docker 网络，远程不指定）\n - 注入环境变量（-e SERVER_URL=...）\n - 挂载结果和日志目录（-v）\n - 指定执行脚本（python -m apps.scan.scripts.xxx）\n4. _execute_docker_command() 执行命令：\n - 本地：subprocess.run() 直接执行\n - 远程：paramiko SSH 执行\n5. docker run -d 立即返回容器 ID，任务在后台执行\n\n特点：\n- 负载感知：任务优先分发到最空闲的机器\n- 统一调度：本地和远程 Worker 使用相同的选择逻辑\n- 资源隔离：每个任务独立容器\n- 按需创建：空闲时零占用\n- 版本一致：所有节点使用相同版本的 worker 镜像\n\"\"\"\n\nimport logging\nimport time\nfrom typing import Optional, Dict, Any\n\nimport paramiko\nfrom django.conf import settings\n\nfrom apps.engine.models import WorkerNode\n\nlogger = logging.getLogger(__name__)\n\n\nclass TaskDistributor:\n \"\"\"\n 负载感知任务分发器\n \n 根据 Worker 负载自动选择最优节点执行任务。\n - 本地 Worker (is_local=True)：直接执行 docker 命令\n - 远程 Worker (is_local=False)：通过 SSH 执行 docker 命令\n \n 负载均衡策略：\n - 心跳间隔：3 秒（Agent 上报到 Redis）\n - 任务间隔：6 秒（确保心跳已更新）\n - 高负载阈值：85%（CPU 或内存超过则跳过）\n - 在线判断：Redis TTL（15秒过期视为离线）\n \"\"\"\n \n # 上次任务提交时间（类级别，所有实例共享）\n _last_submit_time: float = 0\n \n def __init__(self):\n self.docker_image = settings.TASK_EXECUTOR_IMAGE\n if not self.docker_image:\n raise ValueError(\"TASK_EXECUTOR_IMAGE 未配置，请确保 IMAGE_TAG 环境变量已设置\")\n # 统一使用 /opt/xingrin 下的路径\n self.logs_mount = \"/opt/xingrin/logs\"\n self.submit_interval = getattr(settings, 'TASK_SUBMIT_INTERVAL', 5)\n \n def get_online_workers(self) -> list[WorkerNode]:\n \"\"\"\n 获取所有在线的 Worker\n \n 判断条件：\n - status in ('online', 'offline') 表示已部署\n - Redis 中有心跳数据（TTL 未过期）\n \"\"\"\n from apps.engine.services.worker_load_service import worker_load_service\n \n # 1. 获取所有已部署的节点（online/offline 表示已部署）\n workers = WorkerNode.objects.filter(status__in=['online', 'offline'])\n \n # 2. 过滤出 Redis 中有心跳数据的（在线）\n online_workers = []\n for worker in workers:\n if worker_load_service.is_online(worker.id):\n online_workers.append(worker)\n \n return online_workers\n \n def select_best_worker(self) -> Optional[WorkerNode]:\n \"\"\"\n 选择负载最低的在线 Worker\n \n 选择策略：\n - 从 Redis 读取实时负载数据\n - CPU 权重 70%，内存权重 30%\n - 排除 CPU > 85% 或 内存 > 85% 的机器\n \n Returns:\n 最优 Worker，如果没有可用的返回 None\n \"\"\"\n from apps.engine.services.worker_load_service import worker_load_service\n \n workers = self.get_online_workers()\n \n if not workers:\n logger.warning(\"没有可用的在线 Worker\")\n return None\n \n # 从 Redis 批量获取负载数据\n worker_ids = [w.id for w in workers]\n loads = worker_load_service.get_all_loads(worker_ids)\n \n # 计算每个 Worker 的负载分数\n scored_workers = []\n high_load_workers = [] # 高负载 Worker（降级备选）\n \n for worker in workers:\n # 从 Redis 获取负载数据\n load = loads.get(worker.id)\n if not load:\n # Redis 无数据，跳过该节点（不应该发生，因为 get_online_workers 已过滤）\n logger.warning(f\"Worker {worker.name} 无负载数据，跳过\")\n continue\n \n cpu = load.get('cpu', 0)\n mem = load.get('mem', 0)\n \n # 加权分数（越低越好）\n score = cpu * 0.7 + mem * 0.3\n \n # 区分正常和高负载（阈值降到 85%，更保守）\n if cpu > 85 or mem > 85:\n high_load_workers.append((worker, score, cpu, mem))\n logger.debug(\n \"高负载 Worker: %s (CPU: %.1f%%, MEM: %.1f%%)\",\n worker.name, cpu, mem\n )\n else:\n scored_workers.append((worker, score, cpu, mem))\n \n # 降级策略：如果没有正常负载的，循环等待后重新检测\n if not scored_workers:\n if high_load_workers:\n # 高负载等待参数（默认每 60 秒检测一次，最多 10 次）\n high_load_wait = getattr(settings, 'HIGH_LOAD_WAIT_SECONDS', 60)\n high_load_max_retries = getattr(settings, 'HIGH_LOAD_MAX_RETRIES', 10)\n \n # 开始等待前发送高负载通知\n high_load_workers.sort(key=lambda x: x[1])\n _, _, first_cpu, first_mem = high_load_workers[0]\n from apps.common.signals import all_workers_high_load\n all_workers_high_load.send(\n sender=self.__class__,\n worker_name=\"所有节点\",\n cpu=first_cpu,\n mem=first_mem\n )\n \n for retry in range(high_load_max_retries):\n logger.warning(\n \"所有 Worker 高负载，等待 %d 秒后重试... (%d/%d)\",\n high_load_wait, retry + 1, high_load_max_retries\n )\n time.sleep(high_load_wait)\n \n # 重新获取负载数据\n loads = worker_load_service.get_all_loads(worker_ids)\n \n # 重新评估\n scored_workers = []\n high_load_workers = []\n \n for worker in workers:\n load = loads.get(worker.id)\n if not load:\n continue\n \n cpu = load.get('cpu', 0)\n mem = load.get('mem', 0)\n score = cpu * 0.7 + mem * 0.3\n \n if cpu > 85 or mem > 85:\n high_load_workers.append((worker, score, cpu, mem))\n else:\n scored_workers.append((worker, score, cpu, mem))\n \n # 如果有正常负载的 Worker，跳出循环\n if scored_workers:\n logger.info(\"检测到正常负载 Worker，结束等待\")\n break\n \n # 超时或仍然高负载，选择负载最低的\n if not scored_workers and high_load_workers:\n high_load_workers.sort(key=lambda x: x[1])\n best_worker, _, cpu, mem = high_load_workers[0]\n \n logger.warning(\n \"等待超时，强制分发到高负载 Worker: %s (CPU: %.1f%%, MEM: %.1f%%)\",\n best_worker.name, cpu, mem\n )\n return best_worker\n return best_worker\n else:\n logger.warning(\"没有可用的 Worker\")\n return None\n \n # 选择分数最低的\n scored_workers.sort(key=lambda x: x[1])\n best_worker, score, cpu, mem = scored_workers[0]\n \n logger.info(\n \"选择 Worker: %s (CPU: %.1f%%, MEM: %.1f%%, Score: %.1f)\",\n best_worker.name, cpu, mem, score\n )\n \n return best_worker\n \n def _wait_for_submit_interval(self):\n \"\"\"\n 等待任务提交间隔（后台线程中执行，不阻塞 API）\n \n 确保连续任务提交之间有足够的间隔，让心跳有时间更新负载数据。\n 如果距上次提交已超过间隔，则不等待。\n \"\"\"\n if TaskDistributor._last_submit_time > 0:\n elapsed = time.time() - TaskDistributor._last_submit_time\n if elapsed < self.submit_interval:\n time.sleep(self.submit_interval - elapsed)\n TaskDistributor._last_submit_time = time.time()\n \n def _build_docker_command(\n self,\n worker: WorkerNode,\n script_module: str,\n script_args: Dict[str, Any],\n ) -> str:\n \"\"\"\n 构建 docker run 命令\n \n 容器只需要 SERVER_URL，启动后从配置中心获取完整配置。\n \n Args:\n worker: 目标 Worker（用于区分本地/远程网络）\n script_module: 脚本模块路径（如 apps.scan.scripts.run_initiate_scan）\n script_args: 脚本参数（会转换为命令行参数）\n \n Returns:\n 完整的 docker run 命令\n \"\"\"\n import shlex\n \n # 根据 Worker 类型确定网络和 Server 地址\n if worker.is_local:\n # 本地：加入 Docker 网络，使用内部服务名\n network_arg = f\"--network {settings.DOCKER_NETWORK_NAME}\"\n server_url = f\"http://server:{settings.SERVER_PORT}\"\n else:\n # 远程：通过 Nginx 反向代理访问（HTTPS，不直连 8888 端口）\n network_arg = \"\"\n server_url = f\"https://{settings.PUBLIC_HOST}:{settings.PUBLIC_PORT}\"\n \n # 挂载路径（统一挂载 /opt/xingrin，扫描工具在 /opt/xingrin-tools/bin 不受影响）\n host_xingrin_dir = \"/opt/xingrin\"\n \n # 环境变量：SERVER_URL + IS_LOCAL，其他配置容器启动时从配置中心获取\n # IS_LOCAL 用于 Worker 向配置中心声明身份，决定返回的数据库地址\n # Prefect 本地模式配置：启用 ephemeral server（本地临时服务器）\n is_local_str = \"true\" if worker.is_local else \"false\"\n env_vars = [\n f\"-e SERVER_URL={shlex.quote(server_url)}\",\n f\"-e IS_LOCAL={is_local_str}\",\n f\"-e WORKER_API_KEY={shlex.quote(settings.WORKER_API_KEY)}\", # Worker API 认证密钥\n \"-e PREFECT_HOME=/tmp/.prefect\", # 设置 Prefect 数据目录到可写位置\n \"-e PREFECT_SERVER_EPHEMERAL_ENABLED=true\", # 启用 ephemeral server（本地临时服务器）\n \"-e PREFECT_SERVER_EPHEMERAL_STARTUP_TIMEOUT_SECONDS=120\", # 增加启动超时时间\n \"-e PREFECT_SERVER_DATABASE_CONNECTION_URL=sqlite+aiosqlite:////tmp/.prefect/prefect.db\", # 使用 /tmp 下的 SQLite\n \"-e PREFECT_LOGGING_LEVEL=WARNING\", # 日志级别（减少 DEBUG 噪音）\n ]\n \n # 挂载卷（统一挂载整个 /opt/xingrin 目录）\n volumes = [\n f\"-v {host_xingrin_dir}:{host_xingrin_dir}\",\n ]\n \n # 构建命令行参数\n # 使用 shlex.quote 处理特殊字符，确保参数在 shell 中正确解析\n args_str = \" \".join([f\"--{k}={shlex.quote(str(v))}\" for k, v in script_args.items()])\n \n # 日志文件路径（容器内），保留最近 10000 行\n log_file = f\"{self.logs_mount}/container_{script_module.split('.')[-1]}.log\"\n \n # 构建内部命令（日志轮转 + 执行脚本）\n inner_cmd = f'tail -n 10000 {log_file} > {log_file}.tmp 2>/dev/null; mv {log_file}.tmp {log_file} 2>/dev/null; python -m {script_module} {args_str} >> {log_file} 2>&1'\n \n # 完整命令\n # 镜像拉取策略：--pull=missing\n # - 本地 Worker：install.sh 已预拉取镜像，直接使用本地版本\n # - 远程 Worker：deploy 时已预拉取镜像，直接使用本地版本\n # - 避免每次任务都检查 Docker Hub，提升性能和稳定性\n # OOM 优先级：--oom-score-adj=1000 让 Worker 在内存不足时优先被杀\n # - 范围 -1000 到 1000，值越大越容易被 OOM Killer 选中\n # - 保护 server/nginx/frontend 等核心服务，确保 Web 界面可用\n cmd = f'''docker run --rm -d --pull=missing {network_arg} \\\\\n --oom-score-adj=1000 \\\\\n {' '.join(env_vars)} \\\\\n {' '.join(volumes)} \\\\\n {self.docker_image} \\\\\n sh -c \"{inner_cmd}\"'''\n \n return cmd\n \n def _execute_docker_command(\n self,\n worker: WorkerNode,\n docker_cmd: str,\n ) -> tuple[bool, str]:\n \"\"\"\n 在 Worker 上执行 docker run 命令\n \n docker run -d 会立即返回容器 ID，无需等待任务完成。\n \n Args:\n worker: 目标 Worker\n docker_cmd: docker run 命令\n \n Returns:\n (success, container_id) 元组\n \"\"\"\n logger.info(\"准备执行 Docker 命令 - Worker: %s, Local: %s\", worker.name, worker.is_local)\n logger.info(\"Docker 命令: %s\", docker_cmd[:200] + '...' if len(docker_cmd) > 200 else docker_cmd)\n \n if worker.is_local:\n return self._execute_local_docker(docker_cmd)\n else:\n return self._execute_ssh_docker(worker, docker_cmd)\n \n def _execute_local_docker(\n self,\n docker_cmd: str,\n ) -> tuple[bool, str]:\n \"\"\"\n 在本地执行 docker run 命令\n \n docker run -d 立即返回容器 ID。\n \"\"\"\n import subprocess\n logger.info(\"开始执行本地 Docker 命令...\")\n try:\n result = subprocess.run(\n docker_cmd,\n shell=True,\n capture_output=True,\n text=True,\n )\n \n if result.returncode != 0:\n logger.error(\n \"本地 Docker 执行失败 - Exit: %d, Stderr: %s, Stdout: %s\",\n result.returncode, result.stderr[:500], result.stdout[:500]\n )\n return False, result.stderr\n \n container_id = result.stdout.strip()\n logger.info(\"本地 Docker 执行成功 - Container ID: %s\", container_id[:12] if container_id else 'N/A')\n return True, container_id\n \n except Exception as e:\n logger.error(\"本地 Docker 执行异常: %s\", e, exc_info=True)\n return False, f\"执行异常: {e}\"\n \n def _execute_ssh_docker(\n self,\n worker: WorkerNode,\n docker_cmd: str,\n ) -> tuple[bool, str]:\n \"\"\"\n 在远程 Worker 上通过 SSH 执行 docker run 命令\n \n docker run -d 立即返回容器 ID，无需长时间等待。\n \n Args:\n worker: 目标 Worker\n docker_cmd: docker run 命令\n \n Returns:\n (success, container_id) 元组\n \"\"\"\n ssh = None\n logger.info(\"开始 SSH Docker 执行 - Worker: %s (%s:%d)\", worker.name, worker.ip_address, worker.ssh_port)\n try:\n ssh = paramiko.SSHClient()\n ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n \n # 连接（SSH 连接超时 10 秒足够）\n ssh.connect(\n hostname=worker.ip_address,\n port=worker.ssh_port,\n username=worker.username,\n password=worker.password if worker.password else None,\n timeout=10,\n )\n logger.debug(\"SSH 连接成功 - Worker: %s\", worker.name)\n \n # 执行 docker run（-d 模式立即返回）\n stdin, stdout, stderr = ssh.exec_command(docker_cmd)\n exit_code = stdout.channel.recv_exit_status()\n \n output = stdout.read().decode().strip()\n error = stderr.read().decode().strip()\n \n if exit_code != 0:\n logger.error(\n \"SSH Docker 执行失败 - Worker: %s, Exit: %d, Stderr: %s, Stdout: %s\",\n worker.name, exit_code, error[:500], output[:500]\n )\n return False, error\n \n logger.info(\"SSH Docker 执行成功 - Worker: %s, Container ID: %s\", worker.name, output[:12] if output else 'N/A')\n return True, output\n \n except paramiko.AuthenticationException as e:\n logger.error(\"SSH 认证失败 - Worker: %s, Error: %s\", worker.name, e)\n return False, f\"认证失败: {e}\"\n except paramiko.SSHException as e:\n logger.error(\"SSH 连接错误 - Worker: %s, Error: %s\", worker.name, e)\n return False, f\"SSH 错误: {e}\"\n except Exception as e:\n logger.error(\"SSH Docker 执行异常 - Worker: %s, Error: %s\", worker.name, e)\n return False, f\"执行异常: {e}\"\n finally:\n if ssh:\n ssh.close()\n \n def execute_scan_flow(\n self,\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n engine_name: str,\n scheduled_scan_name: str | None = None,\n ) -> tuple[bool, str, Optional[str], Optional[int]]:\n \"\"\"\n 在远程或本地 Worker 上执行扫描 Flow\n \n Args:\n scan_id: 扫描任务 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: 扫描工作目录\n engine_name: 引擎名称\n scheduled_scan_name: 定时扫描任务名称（可选）\n \n Returns:\n (success, message, container_id, worker_id) 元组\n \n Note:\n engine_config 由 Flow 内部通过 scan_id 查询数据库获取\n \"\"\"\n logger.info(\"=\"*60)\n logger.info(\"execute_scan_flow 开始\")\n logger.info(\" scan_id: %s\", scan_id)\n logger.info(\" target_name: %s\", target_name)\n logger.info(\" target_id: %s\", target_id)\n logger.info(\" scan_workspace_dir: %s\", scan_workspace_dir)\n logger.info(\" engine_name: %s\", engine_name)\n logger.info(\" docker_image: %s\", self.docker_image)\n logger.info(\"=\"*60)\n \n # 1. 等待提交间隔（后台线程执行，不阻塞 API）\n logger.info(\"等待提交间隔...\")\n self._wait_for_submit_interval()\n logger.info(\"提交间隔等待完成\")\n \n # 2. 选择最佳 Worker\n worker = self.select_best_worker()\n if not worker:\n return False, \"没有可用的 Worker\", None, None\n \n # 3. 构建 docker run 命令\n script_args = {\n 'scan_id': scan_id,\n 'target_name': target_name,\n 'target_id': target_id,\n 'scan_workspace_dir': scan_workspace_dir,\n 'engine_name': engine_name,\n }\n if scheduled_scan_name:\n script_args['scheduled_scan_name'] = scheduled_scan_name\n \n docker_cmd = self._build_docker_command(\n worker=worker,\n script_module='apps.scan.scripts.run_initiate_scan',\n script_args=script_args,\n )\n \n logger.info(\n \"提交扫描任务到 Worker: %s - Scan ID: %d, Target: %s\",\n worker.name, scan_id, target_name\n )\n \n # 4. 执行 docker run（本地直接执行，远程通过 SSH）\n success, output = self._execute_docker_command(worker, docker_cmd)\n \n if success:\n container_id = output[:12] if output else None\n logger.info(\n \"扫描任务已提交 - Scan ID: %d, Worker: %s, Container: %s\",\n scan_id, worker.name, container_id\n )\n return True, f\"任务已提交到 {worker.name}\", container_id, worker.id\n else:\n logger.error(\n \"扫描任务提交失败 - Scan ID: %d, Worker: %s, Error: %s\",\n scan_id, worker.name, output\n )\n return False, output, None, None\n \n def execute_cleanup_on_all_workers(\n self,\n retention_days: int = 7,\n ) -> list[dict]:\n \"\"\"\n 在所有 Worker 上执行清理任务\n \n Args:\n retention_days: 保留天数，默认7天\n \n Returns:\n 各 Worker 的执行结果列表\n \"\"\"\n results = []\n \n # 获取所有在线的 Worker\n workers = self.get_online_workers()\n if not workers:\n logger.warning(\"没有可用的 Worker 执行清理任务\")\n return results\n \n logger.info(f\"开始在 {len(workers)} 个 Worker 上执行清理任务\")\n \n for worker in workers:\n try:\n # 构建 docker run 命令（清理过期扫描结果目录）\n script_args = {\n 'results_dir': '/opt/xingrin/results',\n 'retention_days': retention_days,\n }\n \n docker_cmd = self._build_docker_command(\n worker=worker,\n script_module='apps.scan.scripts.run_cleanup',\n script_args=script_args,\n )\n \n # 执行清理命令\n success, output = self._execute_docker_command(worker, docker_cmd)\n \n results.append({\n 'worker_id': worker.id,\n 'worker_name': worker.name,\n 'success': success,\n 'output': output[:500] if output else None,\n })\n \n if success:\n logger.info(f\"✓ Worker {worker.name} 清理任务已启动\")\n else:\n logger.warning(f\"✗ Worker {worker.name} 清理任务启动失败: {output}\")\n \n except Exception as e:\n logger.error(f\"Worker {worker.name} 清理任务执行异常: {e}\")\n results.append({\n 'worker_id': worker.id,\n 'worker_name': worker.name,\n 'success': False,\n 'error': str(e),\n })\n \n return results\n\n def execute_delete_task(\n self,\n task_type: str,\n ids: list[int],\n ) -> tuple[bool, str, str | None]:\n \"\"\"\n 分发删除任务到最优 Worker\n \n 统一入口，根据 task_type 选择对应的删除脚本执行。\n \n Args:\n task_type: 任务类型 ('targets', 'organizations', 'scans')\n ids: 要删除的 ID 列表\n \n Returns:\n (success, message, container_id) 元组\n \"\"\"\n import json\n \n # 映射任务类型到脚本\n script_map = {\n 'targets': 'apps.targets.scripts.run_delete_targets',\n 'organizations': 'apps.targets.scripts.run_delete_organizations',\n 'scans': 'apps.scan.scripts.run_delete_scans',\n }\n \n # 映射任务类型到参数名\n param_map = {\n 'targets': 'target_ids',\n 'organizations': 'organization_ids',\n 'scans': 'scan_ids',\n }\n \n if task_type not in script_map:\n return False, f\"不支持的任务类型: {task_type}\", None\n \n # 选择最佳 Worker\n worker = self.select_best_worker()\n if not worker:\n return False, \"没有可用的 Worker\", None\n \n # 构建参数（ID 列表需要 JSON 序列化）\n script_args = {\n param_map[task_type]: json.dumps(ids),\n }\n \n # 构建 docker run 命令\n docker_cmd = self._build_docker_command(\n worker=worker,\n script_module=script_map[task_type],\n script_args=script_args,\n )\n \n logger.info(\n \"分发删除任务 - 类型: %s, 数量: %d, Worker: %s\",\n task_type, len(ids), worker.name\n )\n \n # 执行命令\n success, output = self._execute_docker_command(worker, docker_cmd)\n \n if success:\n container_id = output.strip() if output else None\n logger.info(\n \"✓ 删除任务已分发 - 类型: %s, Container: %s\",\n task_type, container_id\n )\n return True, f\"任务已提交到 {worker.name}\", container_id\n else:\n logger.error(\n \"✗ 删除任务分发失败 - 类型: %s, Error: %s\",\n task_type, output\n )\n return False, output, None\n\n\n# 单例\n_distributor: Optional[TaskDistributor] = None\n\n\ndef get_task_distributor() -> TaskDistributor:\n \"\"\"获取任务分发器单例\"\"\"\n global _distributor\n if _distributor is None:\n _distributor = TaskDistributor()\n return _distributor\n\n\n" }, { "path": "backend/apps/engine/services/wordlist_service.py", "content": "\"\"\"Wordlist 业务逻辑服务层（Service）\n\n负责字典文件相关的业务逻辑处理\n\"\"\"\n\nimport hashlib\nimport logging\nimport os\nimport time\nfrom typing import Optional\n\nfrom django.conf import settings\nfrom django.core.exceptions import ValidationError\nfrom django.core.files.uploadedfile import UploadedFile\n\nfrom apps.common.utils import safe_calc_file_sha256\nfrom apps.engine.models import Wordlist\nfrom apps.engine.repositories import DjangoWordlistRepository\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass WordlistService:\n \"\"\"字典文件业务逻辑服务\"\"\"\n\n def __init__(self) -> None:\n \"\"\"初始化服务，注入 Repository 依赖\"\"\"\n self.repo = DjangoWordlistRepository()\n\n def get_queryset(self):\n \"\"\"获取字典列表查询集\"\"\"\n return self.repo.get_queryset()\n\n def get_wordlist(self, wordlist_id: int) -> Optional[Wordlist]:\n \"\"\"根据 ID 获取字典\"\"\"\n return self.repo.get_by_id(wordlist_id)\n\n def get_wordlist_by_name(self, name: str) -> Optional[Wordlist]:\n name = (name or \"\").strip()\n if not name:\n return None\n return self.repo.get_by_name(name)\n\n def create_wordlist(\n self,\n name: str,\n description: str,\n uploaded_file: UploadedFile,\n ) -> Wordlist:\n \"\"\"创建字典文件记录并保存物理文件\"\"\"\n\n name = (name or \"\").strip()\n if not name:\n raise ValidationError(\"字典名称不能为空\")\n\n if self._exists_by_name(name):\n raise ValidationError(\"已存在同名字典\")\n\n base_dir = getattr(settings, \"WORDLISTS_BASE_PATH\", \"/opt/xingrin/wordlists\")\n storage_dir = base_dir\n os.makedirs(storage_dir, exist_ok=True)\n\n # 按原始文件名保存（做最小清洗），同名上传时覆盖旧文件\n original_name = os.path.basename(uploaded_file.name or \"wordlist.txt\")\n # 仅清理路径分隔符，保留空格等字符，避免目录穿越\n safe_name = original_name.replace(\"/\", \"_\").replace(\"\\\\\", \"_\") or \"wordlist.txt\"\n # 如果没有扩展名，补一个 .txt，方便识别\n base, ext = os.path.splitext(safe_name)\n if not ext:\n safe_name = f\"{base}.txt\"\n\n full_path = os.path.join(storage_dir, safe_name)\n\n # 边写边算 hash\n hasher = hashlib.sha256()\n with open(full_path, \"wb+\") as dest:\n for chunk in uploaded_file.chunks():\n dest.write(chunk)\n hasher.update(chunk)\n file_hash = hasher.hexdigest()\n\n try:\n file_size = os.path.getsize(full_path)\n except OSError:\n file_size = 0\n\n line_count = 0\n try:\n with open(full_path, \"rb\") as f:\n for _ in f:\n line_count += 1\n except OSError:\n logger.warning(\"统计字典行数失败: %s\", full_path)\n\n wordlist = self.repo.create(\n name=name,\n description=description or \"\",\n file_path=full_path,\n file_size=file_size,\n line_count=line_count,\n file_hash=file_hash,\n )\n\n logger.info(\n \"创建字典: id=%s, name=%s, size=%s, lines=%s, hash=%s\",\n wordlist.id,\n wordlist.name,\n wordlist.file_size,\n wordlist.line_count,\n wordlist.file_hash[:16] + \"...\" if wordlist.file_hash else \"N/A\",\n )\n return wordlist\n\n def delete_wordlist(self, wordlist_id: int) -> bool:\n \"\"\"删除字典记录及对应的物理文件\"\"\"\n wordlist: Optional[Wordlist] = self.repo.get_by_id(wordlist_id)\n if not wordlist:\n return False\n\n file_path = wordlist.file_path\n if file_path:\n try:\n if os.path.exists(file_path):\n os.remove(file_path)\n except OSError as exc:\n logger.warning(\"删除字典文件失败: %s - %s\", file_path, exc)\n\n return self.repo.delete(wordlist_id)\n\n def _exists_by_name(self, name: str) -> bool:\n \"\"\"判断是否存在同名的字典\"\"\"\n return self.repo.get_queryset().filter(name=name).exists()\n\n def get_wordlist_content(self, wordlist_id: int) -> Optional[str]:\n \"\"\"获取字典文件内容\"\"\"\n wordlist = self.repo.get_by_id(wordlist_id)\n if not wordlist or not wordlist.file_path:\n return None\n\n try:\n with open(wordlist.file_path, \"r\", encoding=\"utf-8\", errors=\"replace\") as f:\n return f.read()\n except OSError as exc:\n logger.warning(\"读取字典文件失败: %s - %s\", wordlist.file_path, exc)\n return None\n\n def update_wordlist_content(self, wordlist_id: int, content: str) -> Optional[Wordlist]:\n \"\"\"更新字典文件内容并重新计算 hash\"\"\"\n wordlist = self.repo.get_by_id(wordlist_id)\n if not wordlist or not wordlist.file_path:\n return None\n\n try:\n # 写入新内容\n with open(wordlist.file_path, \"w\", encoding=\"utf-8\") as f:\n f.write(content)\n\n # 重新计算统计信息\n file_size = os.path.getsize(wordlist.file_path)\n line_count = content.count(\"\\n\") + (1 if content and not content.endswith(\"\\n\") else 0)\n file_hash = safe_calc_file_sha256(wordlist.file_path) or \"\"\n\n # 更新记录\n wordlist.file_size = file_size\n wordlist.line_count = line_count\n wordlist.file_hash = file_hash\n wordlist.save(update_fields=[\"file_size\", \"line_count\", \"file_hash\", \"updated_at\"])\n\n logger.info(\n \"更新字典内容: id=%s, name=%s, size=%s, lines=%s, hash=%s\",\n wordlist.id,\n wordlist.name,\n wordlist.file_size,\n wordlist.line_count,\n wordlist.file_hash[:16] + \"...\" if wordlist.file_hash else \"N/A\",\n )\n return wordlist\n except OSError as exc:\n logger.error(\"写入字典文件失败: %s - %s\", wordlist.file_path, exc)\n return None\n\n\n__all__ = [\"WordlistService\"]\n" }, { "path": "backend/apps/engine/services/worker_load_service.py", "content": "\"\"\"\nWorker 负载服务（Redis）\n\n存储结构：\n- worker:load:{worker_id} - Hash: {cpu, mem, updated}\n- TTL: 60 秒（超时自动清理）\n\"\"\"\n\nimport logging\nfrom typing import Optional, Dict, Any\nfrom datetime import datetime\n\nimport redis\nfrom django.conf import settings\n\nlogger = logging.getLogger(__name__)\n\n\nclass WorkerLoadService:\n \"\"\"Worker 负载数据服务（基于 Redis）\"\"\"\n \n # Key 前缀\n KEY_PREFIX = \"worker:load:\"\n \n # 数据过期时间（秒）- 超过此时间未更新视为离线\n # 心跳间隔 3 秒，TTL 设为 15 秒（5 次心跳容错）\n TTL_SECONDS = 15\n \n def __init__(self):\n self._redis: Optional[redis.Redis] = None\n \n @property\n def redis(self) -> redis.Redis:\n \"\"\"懒加载 Redis 连接\"\"\"\n if self._redis is None:\n self._redis = redis.Redis(\n host=settings.REDIS_HOST,\n port=settings.REDIS_PORT,\n db=settings.REDIS_DB,\n decode_responses=True,\n )\n return self._redis\n \n def _key(self, worker_id: int) -> str:\n \"\"\"生成 Redis key\"\"\"\n return f\"{self.KEY_PREFIX}{worker_id}\"\n \n def update_load(self, worker_id: int, cpu_percent: float, memory_percent: float) -> bool:\n \"\"\"\n 更新 Worker 负载数据\n \n Args:\n worker_id: Worker ID\n cpu_percent: CPU 使用率\n memory_percent: 内存使用率\n \n Returns:\n 是否成功\n \"\"\"\n try:\n key = self._key(worker_id)\n data = {\n \"cpu\": cpu_percent,\n \"mem\": memory_percent,\n \"updated\": datetime.now().isoformat(),\n }\n \n # 使用 pipeline 原子操作\n pipe = self.redis.pipeline()\n pipe.hset(key, mapping=data)\n pipe.expire(key, self.TTL_SECONDS)\n pipe.execute()\n \n return True\n except Exception as e:\n logger.error(f\"更新 Worker 负载失败 - ID: {worker_id}: {e}\")\n return False\n \n def get_load(self, worker_id: int) -> Optional[Dict[str, Any]]:\n \"\"\"\n 获取 Worker 负载数据\n \n Returns:\n {\"cpu\": float, \"mem\": float, \"updated\": str} 或 None\n \"\"\"\n try:\n key = self._key(worker_id)\n data = self.redis.hgetall(key)\n \n if not data:\n return None\n \n return {\n \"cpu\": float(data.get(\"cpu\", 0)),\n \"mem\": float(data.get(\"mem\", 0)),\n \"updated\": data.get(\"updated\", \"\"),\n }\n except Exception as e:\n logger.error(f\"获取 Worker 负载失败 - ID: {worker_id}: {e}\")\n return None\n \n def get_all_loads(self, worker_ids: list[int]) -> Dict[int, Dict[str, Any]]:\n \"\"\"\n 批量获取 Worker 负载数据\n \n Args:\n worker_ids: Worker ID 列表\n \n Returns:\n {worker_id: {\"cpu\": float, \"mem\": float}} 字典\n \"\"\"\n result = {}\n \n try:\n pipe = self.redis.pipeline()\n for worker_id in worker_ids:\n pipe.hgetall(self._key(worker_id))\n \n responses = pipe.execute()\n \n for worker_id, data in zip(worker_ids, responses):\n if data:\n result[worker_id] = {\n \"cpu\": float(data.get(\"cpu\", 0)),\n \"mem\": float(data.get(\"mem\", 0)),\n }\n except Exception as e:\n logger.error(f\"批量获取 Worker 负载失败: {e}\")\n \n return result\n \n def delete_load(self, worker_id: int) -> bool:\n \"\"\"删除 Worker 负载数据\"\"\"\n try:\n self.redis.delete(self._key(worker_id))\n return True\n except Exception as e:\n logger.error(f\"删除 Worker 负载失败 - ID: {worker_id}: {e}\")\n return False\n \n def is_online(self, worker_id: int) -> bool:\n \"\"\"检查 Worker 是否在线（Redis 中有数据且未过期）\"\"\"\n return self.redis.exists(self._key(worker_id)) > 0\n\n\n# 单例\nworker_load_service = WorkerLoadService()\n" }, { "path": "backend/apps/engine/services/worker_service.py", "content": "\"\"\"\nWorkerNode 业务逻辑服务层（Service）\n\n负责 Worker 节点相关的业务逻辑处理\n\"\"\"\n\nimport logging\nfrom typing import Any\n\nfrom apps.engine.repositories import DjangoWorkerRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass WorkerService:\n \"\"\"Worker 节点业务逻辑服务\"\"\"\n\n def __init__(self) -> None:\n \"\"\"初始化服务，注入 Repository 依赖\"\"\"\n self.repo = DjangoWorkerRepository()\n\n # ==================== 查询 ====================\n\n def get_worker(self, worker_id: int):\n \"\"\"根据 ID 获取 Worker 节点\"\"\"\n return self.repo.get_by_id(worker_id)\n\n def get_all_workers(self):\n \"\"\"获取所有 Worker 节点查询集\"\"\"\n return self.repo.get_all()\n\n # ==================== 状态更新 ====================\n\n def update_status(self, worker_id: int, status: str) -> bool:\n \"\"\"更新 Worker 节点状态\n \n Args:\n worker_id: Worker ID\n status: 状态 (pending/deploying/online/offline)\n \"\"\"\n return self.repo.update_status(worker_id, status)\n\n\n def delete_worker(self, worker_id: int) -> bool:\n \"\"\"删除 Worker 节点\"\"\"\n return self.repo.delete_by_id(worker_id)\n\n # ==================== 自注册 ====================\n\n def register_worker(self, name: str, is_local: bool = True):\n \"\"\"\n 注册 Worker 节点（本地 Worker 自注册用）\n \n 幂等操作：已存在则返回现有节点。\n \n Args:\n name: Worker 名称\n is_local: 是否为本地节点\n \n Returns:\n (WorkerNode, created) 元组\n \"\"\"\n return self.repo.get_or_create_by_name(\n name=name,\n is_local=is_local\n )\n\n def remote_uninstall(\n self, \n worker_id: int,\n ip_address: str, \n ssh_port: int, \n username: str, \n password: str | None\n ) -> tuple[bool, str]:\n \"\"\"\n 在远程主机上执行卸载脚本\n \n Args:\n worker_id: Worker ID（仅用于日志）\n ip_address: SSH 主机地址\n ssh_port: SSH 端口\n username: SSH 用户名\n password: SSH 密码\n \n Returns:\n (success, message) 元组\n \"\"\"\n if not password:\n return False, \"未配置 SSH 密码，跳过远程卸载\"\n \n try:\n import paramiko\n from apps.engine.services.deploy_service import get_uninstall_script\n \n ssh = paramiko.SSHClient()\n ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n \n logger.info(f\"[卸载] 正在连接 {ip_address}...\")\n ssh.connect(\n ip_address,\n port=ssh_port,\n username=username,\n password=password,\n timeout=30\n )\n \n # 上传卸载脚本\n uninstall_script = get_uninstall_script()\n remote_script_path = '/tmp/xingrin_uninstall.sh'\n \n sftp = ssh.open_sftp()\n with sftp.file(remote_script_path, 'w') as f:\n f.write(uninstall_script)\n sftp.chmod(remote_script_path, 0o755)\n sftp.close()\n \n # 执行卸载脚本\n logger.info(f\"[卸载] 正在执行卸载脚本...\")\n stdin, stdout, stderr = ssh.exec_command(f\"bash {remote_script_path}\")\n exit_status = stdout.channel.recv_exit_status()\n \n ssh.close()\n \n if exit_status == 0:\n logger.info(f\"[卸载] Worker {worker_id} 远程卸载成功\")\n return True, \"远程卸载成功\"\n else:\n error = stderr.read().decode().strip()\n logger.warning(f\"[卸载] Worker {worker_id} 远程卸载失败: {error}\")\n return False, f\"远程卸载失败: {error}\"\n \n except Exception as e:\n logger.warning(f\"[卸载] Worker {worker_id} 远程卸载异常: {e}\")\n return False, f\"远程卸载异常: {str(e)}\"\n\n def execute_remote_command(\n self,\n ip_address: str,\n ssh_port: int,\n username: str,\n password: str | None,\n command: str\n ) -> tuple[bool, str]:\n \"\"\"\n 在远程主机上执行命令\n \n Args:\n ip_address: SSH 主机地址\n ssh_port: SSH 端口\n username: SSH 用户名\n password: SSH 密码\n command: 要执行的命令\n \n Returns:\n (success, message) 元组\n \"\"\"\n if not password:\n return False, \"未配置 SSH 密码\"\n \n try:\n import paramiko\n \n ssh = paramiko.SSHClient()\n ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n \n ssh.connect(\n ip_address,\n port=ssh_port,\n username=username,\n password=password,\n timeout=30\n )\n \n stdin, stdout, stderr = ssh.exec_command(command, timeout=120)\n exit_status = stdout.channel.recv_exit_status()\n \n ssh.close()\n \n if exit_status == 0:\n return True, stdout.read().decode().strip()\n else:\n error = stderr.read().decode().strip()\n return False, error\n \n except Exception as e:\n return False, str(e)\n\n\n__all__ = [\"WorkerService\"]\n" }, { "path": "backend/apps/engine/urls.py", "content": "from django.urls import path, include\nfrom rest_framework.routers import DefaultRouter\n\nfrom .views import (\n ScanEngineViewSet,\n WorkerNodeViewSet,\n WordlistViewSet,\n NucleiTemplateRepoViewSet,\n)\nfrom .views.fingerprints import (\n EholeFingerprintViewSet,\n GobyFingerprintViewSet,\n WappalyzerFingerprintViewSet,\n FingersFingerprintViewSet,\n FingerPrintHubFingerprintViewSet,\n ARLFingerprintViewSet,\n)\n\n\n# 创建路由器\nrouter = DefaultRouter()\nrouter.register(r\"engines\", ScanEngineViewSet, basename=\"engine\")\nrouter.register(r\"workers\", WorkerNodeViewSet, basename=\"worker\")\nrouter.register(r\"wordlists\", WordlistViewSet, basename=\"wordlist\")\nrouter.register(r\"nuclei/repos\", NucleiTemplateRepoViewSet, basename=\"nuclei-repos\")\n# 指纹管理\nrouter.register(r\"fingerprints/ehole\", EholeFingerprintViewSet, basename=\"ehole-fingerprint\")\nrouter.register(r\"fingerprints/goby\", GobyFingerprintViewSet, basename=\"goby-fingerprint\")\nrouter.register(r\"fingerprints/wappalyzer\", WappalyzerFingerprintViewSet, basename=\"wappalyzer-fingerprint\")\nrouter.register(r\"fingerprints/fingers\", FingersFingerprintViewSet, basename=\"fingers-fingerprint\")\nrouter.register(r\"fingerprints/fingerprinthub\", FingerPrintHubFingerprintViewSet, basename=\"fingerprinthub-fingerprint\")\nrouter.register(r\"fingerprints/arl\", ARLFingerprintViewSet, basename=\"arl-fingerprint\")\n\nurlpatterns = [\n path(\"\", include(router.urls)),\n]\n\n" }, { "path": "backend/apps/engine/views/__init__.py", "content": "\"\"\"Engine Views\"\"\"\nfrom .worker_views import WorkerNodeViewSet\nfrom .engine_views import ScanEngineViewSet\nfrom .wordlist_views import WordlistViewSet\nfrom .nuclei_template_repo_views import NucleiTemplateRepoViewSet\n\n__all__ = [\n \"WorkerNodeViewSet\",\n \"ScanEngineViewSet\",\n \"WordlistViewSet\",\n \"NucleiTemplateRepoViewSet\",\n]\n" }, { "path": "backend/apps/engine/views/engine_views.py", "content": "\"\"\"\n扫描引擎 Views\n\"\"\"\nfrom rest_framework import viewsets\n\nfrom apps.engine.serializers import ScanEngineSerializer\nfrom apps.engine.services import EngineService\n\n\nclass ScanEngineViewSet(viewsets.ModelViewSet):\n \"\"\"\n 扫描引擎 ViewSet\n \n 自动提供完整的 CRUD 操作：\n - GET /api/engines/ - 获取引擎列表\n - POST /api/engines/ - 创建新引擎\n - GET /api/engines/{id}/ - 获取引擎详情\n - PUT /api/engines/{id}/ - 更新引擎\n - PATCH /api/engines/{id}/ - 部分更新引擎\n - DELETE /api/engines/{id}/ - 删除引擎\n \"\"\"\n \n serializer_class = ScanEngineSerializer\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.engine_service = EngineService()\n\n def get_queryset(self):\n \"\"\"通过服务层获取查询集\"\"\"\n return self.engine_service.get_all_engines()\n" }, { "path": "backend/apps/engine/views/fingerprints/__init__.py", "content": "\"\"\"指纹管理 ViewSets\n\n导出所有指纹相关的 ViewSet 类\n\"\"\"\n\nfrom .base import BaseFingerprintViewSet\nfrom .ehole import EholeFingerprintViewSet\nfrom .goby import GobyFingerprintViewSet\nfrom .wappalyzer import WappalyzerFingerprintViewSet\nfrom .fingers import FingersFingerprintViewSet\nfrom .fingerprinthub import FingerPrintHubFingerprintViewSet\nfrom .arl import ARLFingerprintViewSet\n\n__all__ = [\n \"BaseFingerprintViewSet\",\n \"EholeFingerprintViewSet\",\n \"GobyFingerprintViewSet\",\n \"WappalyzerFingerprintViewSet\",\n \"FingersFingerprintViewSet\",\n \"FingerPrintHubFingerprintViewSet\",\n \"ARLFingerprintViewSet\",\n]\n" }, { "path": "backend/apps/engine/views/fingerprints/arl.py", "content": "\"\"\"ARL 指纹管理 ViewSet\"\"\"\n\nimport yaml\nfrom django.http import HttpResponse\nfrom rest_framework.decorators import action\nfrom rest_framework.exceptions import ValidationError\n\nfrom apps.common.pagination import BasePagination\nfrom apps.common.response_helpers import success_response\nfrom apps.engine.models import ARLFingerprint\nfrom apps.engine.serializers.fingerprints import ARLFingerprintSerializer\nfrom apps.engine.services.fingerprints import ARLFingerprintService\n\nfrom .base import BaseFingerprintViewSet\n\n\nclass ARLFingerprintViewSet(BaseFingerprintViewSet):\n \"\"\"ARL 指纹管理 ViewSet\n \n 继承自 BaseFingerprintViewSet，提供以下 API：\n \n 标准 CRUD（ModelViewSet）：\n - GET / 列表查询（分页）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（继承自基类）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data，支持 YAML）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载（YAML 格式）\n \n 智能过滤语法（filter 参数）：\n - name=\"word\" 模糊匹配 name 字段\n - name==\"WordPress\" 精确匹配\n - rule=\"body=\" 按规则内容筛选\n \"\"\"\n \n queryset = ARLFingerprint.objects.all()\n serializer_class = ARLFingerprintSerializer\n pagination_class = BasePagination\n service_class = ARLFingerprintService\n \n # 排序配置\n ordering_fields = ['created_at', 'name']\n ordering = ['-created_at']\n \n # ARL 过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'name': 'name',\n 'rule': 'rule',\n }\n \n def parse_import_data(self, json_data) -> list:\n \"\"\"\n 解析 ARL 格式的导入数据（JSON 格式）\n \n 输入格式：[{...}, {...}] 数组格式\n 返回：指纹列表\n \"\"\"\n if isinstance(json_data, list):\n return json_data\n return []\n \n def get_export_filename(self) -> str:\n \"\"\"导出文件名\"\"\"\n return 'ARL.yaml'\n \n @action(detail=False, methods=['post'])\n def import_file(self, request):\n \"\"\"\n 文件导入（支持 YAML 和 JSON 格式）\n POST /api/engine/fingerprints/arl/import_file/\n \n 请求格式：multipart/form-data\n - file: YAML 或 JSON 文件\n \n 返回：同 batch_create\n \"\"\"\n file = request.FILES.get('file')\n if not file:\n raise ValidationError('缺少文件')\n \n filename = file.name.lower()\n content = file.read().decode('utf-8')\n \n try:\n if filename.endswith('.yaml') or filename.endswith('.yml'):\n # YAML 格式\n fingerprints = yaml.safe_load(content)\n else:\n # JSON 格式\n import json\n fingerprints = json.loads(content)\n except (yaml.YAMLError, json.JSONDecodeError) as e:\n raise ValidationError(f'无效的文件格式: {e}')\n \n if not isinstance(fingerprints, list):\n raise ValidationError('文件内容必须是数组格式')\n \n if not fingerprints:\n raise ValidationError('文件中没有有效的指纹数据')\n \n result = self.get_service().batch_create_fingerprints(fingerprints)\n return success_response(data=result)\n \n @action(detail=False, methods=['get'])\n def export(self, request):\n \"\"\"\n 导出指纹（YAML 格式）\n GET /api/engine/fingerprints/arl/export/\n \n 返回：YAML 文件下载\n \"\"\"\n data = self.get_service().get_export_data()\n content = yaml.dump(data, allow_unicode=True, default_flow_style=False, sort_keys=False)\n response = HttpResponse(content, content_type='application/x-yaml')\n response['Content-Disposition'] = f'attachment; filename=\"{self.get_export_filename()}\"'\n return response\n" }, { "path": "backend/apps/engine/views/fingerprints/base.py", "content": "\"\"\"指纹管理基类 ViewSet\n\n提供通用的 CRUD 和批量操作，供 EHole/Goby/Wappalyzer 等子类继承\n\"\"\"\n\nimport json\nimport logging\n\nfrom django.http import HttpResponse\nfrom rest_framework import viewsets, status, filters\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom rest_framework.exceptions import ValidationError\n\nfrom apps.common.pagination import BasePagination\nfrom apps.common.response_helpers import success_response\nfrom apps.common.utils.filter_utils import apply_filters\n\nlogger = logging.getLogger(__name__)\n\n\nclass BaseFingerprintViewSet(viewsets.ModelViewSet):\n \"\"\"指纹管理基类 ViewSet，供 EHole/Goby/Wappalyzer 等子类继承\n \n 提供的 API：\n \n 标准 CRUD（继承自 ModelViewSet）：\n - GET / 列表查询（分页 + 智能过滤）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（本类实现）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data，适合 10MB+ 大文件）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载\n \n 智能过滤语法（filter 参数）：\n - field=\"value\" 模糊匹配（包含）\n - field==\"value\" 精确匹配\n - 多条件空格分隔 AND 关系\n - || 或 or OR 关系\n \n 子类必须实现：\n - service_class Service 类\n - parse_import_data 解析导入数据格式\n - get_export_filename 导出文件名\n \"\"\"\n \n pagination_class = BasePagination\n filter_backends = [filters.OrderingFilter]\n ordering = ['-created_at']\n \n # 子类必须指定\n service_class = None # Service 类\n \n # 智能过滤字段映射，子类必须覆盖\n FILTER_FIELD_MAPPING = {}\n \n # JSON 数组字段列表（使用 __contains 查询），子类可覆盖\n JSON_ARRAY_FIELDS = []\n \n def get_queryset(self):\n \"\"\"支持智能过滤语法\"\"\"\n queryset = super().get_queryset()\n filter_query = self.request.query_params.get('filter', None)\n if filter_query:\n queryset = apply_filters(\n queryset, \n filter_query, \n self.FILTER_FIELD_MAPPING,\n json_array_fields=getattr(self, 'JSON_ARRAY_FIELDS', [])\n )\n return queryset\n \n def get_service(self):\n \"\"\"获取 Service 实例\"\"\"\n if self.service_class is None:\n raise NotImplementedError(\"子类必须指定 service_class\")\n return self.service_class()\n \n def parse_import_data(self, json_data: dict) -> list:\n \"\"\"\n 解析导入数据，子类必须实现\n \n Args:\n json_data: 解析后的 JSON 数据\n \n Returns:\n list: 指纹数据列表\n \"\"\"\n raise NotImplementedError(\"子类必须实现 parse_import_data 方法\")\n \n def get_export_filename(self) -> str:\n \"\"\"\n 导出文件名，子类必须实现\n \n Returns:\n str: 文件名\n \"\"\"\n raise NotImplementedError(\"子类必须实现 get_export_filename 方法\")\n\n @action(detail=False, methods=['post'])\n def batch_create(self, request):\n \"\"\"\n 批量创建指纹规则\n POST /api/engine/fingerprints/{type}/batch_create/\n \n 请求格式：\n {\n \"fingerprints\": [\n {\"cms\": \"WordPress\", \"method\": \"keyword\", ...},\n ...\n ]\n }\n \n 返回：\n {\n \"created\": 2,\n \"failed\": 0\n }\n \"\"\"\n fingerprints = request.data.get('fingerprints', [])\n if not fingerprints:\n raise ValidationError('fingerprints 不能为空')\n if not isinstance(fingerprints, list):\n raise ValidationError('fingerprints 必须是数组')\n \n result = self.get_service().batch_create_fingerprints(fingerprints)\n return success_response(data=result, status_code=status.HTTP_201_CREATED)\n \n @action(detail=False, methods=['post'])\n def import_file(self, request):\n \"\"\"\n 文件导入（适合大文件，10MB+）\n POST /api/engine/fingerprints/{type}/import_file/\n \n 请求格式：multipart/form-data\n - file: JSON 文件（支持标准 JSON 和 JSONL 格式）\n \n 返回：同 batch_create\n \"\"\"\n file = request.FILES.get('file')\n if not file:\n raise ValidationError('缺少文件')\n \n try:\n content = file.read().decode('utf-8')\n json_data = self._parse_json_content(content)\n except json.JSONDecodeError as e:\n raise ValidationError(f'无效的 JSON 格式: {e}')\n except UnicodeDecodeError as e:\n raise ValidationError(f'文件编码错误: {e}')\n \n fingerprints = self.parse_import_data(json_data)\n if not fingerprints:\n raise ValidationError('文件中没有有效的指纹数据')\n \n result = self.get_service().batch_create_fingerprints(fingerprints)\n return success_response(data=result, status_code=status.HTTP_201_CREATED)\n \n def _parse_json_content(self, content: str):\n \"\"\"\n 解析 JSON 内容，支持标准 JSON 和 JSONL 格式\n \n Args:\n content: 文件内容字符串\n \n Returns:\n 解析后的数据（list 或 dict）\n \"\"\"\n content = content.strip()\n \n # 尝试标准 JSON 解析\n try:\n return json.loads(content)\n except json.JSONDecodeError:\n pass\n \n # 尝试 JSONL 格式（每行一个 JSON 对象）\n lines = content.split('\\n')\n result = []\n for i, line in enumerate(lines):\n line = line.strip()\n if not line:\n continue\n try:\n result.append(json.loads(line))\n except json.JSONDecodeError as e:\n raise json.JSONDecodeError(f'第 {i + 1} 行解析失败: {e.msg}', e.doc, e.pos)\n \n if not result:\n raise json.JSONDecodeError('文件为空或格式无效', content, 0)\n \n return result\n \n @action(detail=False, methods=['post'], url_path='bulk-delete')\n def bulk_delete(self, request):\n \"\"\"\n 批量删除\n POST /api/engine/fingerprints/{type}/bulk-delete/\n \n 请求格式：{\"ids\": [1, 2, 3]}\n 返回：{\"deleted\": 3}\n \"\"\"\n ids = request.data.get('ids', [])\n if not ids:\n raise ValidationError('ids 不能为空')\n if not isinstance(ids, list):\n raise ValidationError('ids 必须是数组')\n \n deleted_count = self.queryset.model.objects.filter(id__in=ids).delete()[0]\n return success_response(data={'deleted': deleted_count})\n \n @action(detail=False, methods=['post'], url_path='delete-all')\n def delete_all(self, request):\n \"\"\"\n 删除所有指纹\n POST /api/engine/fingerprints/{type}/delete-all/\n \n 返回：{\"deleted\": 1000}\n \"\"\"\n deleted_count = self.queryset.model.objects.all().delete()[0]\n return success_response(data={'deleted': deleted_count})\n \n @action(detail=False, methods=['get'])\n def export(self, request):\n \"\"\"\n 导出指纹（前端下载）\n GET /api/engine/fingerprints/{type}/export/\n \n 返回：JSON 文件下载\n \"\"\"\n data = self.get_service().get_export_data()\n content = json.dumps(data, ensure_ascii=False, indent=2)\n response = HttpResponse(content, content_type='application/json')\n response['Content-Disposition'] = f'attachment; filename=\"{self.get_export_filename()}\"'\n return response\n" }, { "path": "backend/apps/engine/views/fingerprints/ehole.py", "content": "\"\"\"EHole 指纹管理 ViewSet\"\"\"\n\nfrom apps.common.pagination import BasePagination\nfrom apps.engine.models import EholeFingerprint\nfrom apps.engine.serializers.fingerprints import EholeFingerprintSerializer\nfrom apps.engine.services.fingerprints import EholeFingerprintService\n\nfrom .base import BaseFingerprintViewSet\n\n\nclass EholeFingerprintViewSet(BaseFingerprintViewSet):\n \"\"\"EHole 指纹管理 ViewSet\n \n 继承自 BaseFingerprintViewSet，提供以下 API：\n \n 标准 CRUD（ModelViewSet）：\n - GET / 列表查询（分页）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（继承自基类）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载\n \n 智能过滤语法（filter 参数）：\n - cms=\"word\" 模糊匹配 cms 字段\n - cms==\"WordPress\" 精确匹配\n - type=\"CMS\" 按类型筛选\n - method=\"keyword\" 按匹配方式筛选\n - location=\"body\" 按匹配位置筛选\n \"\"\"\n \n queryset = EholeFingerprint.objects.all()\n serializer_class = EholeFingerprintSerializer\n pagination_class = BasePagination\n service_class = EholeFingerprintService\n \n # 排序配置\n ordering_fields = ['created_at', 'cms']\n ordering = ['-created_at']\n \n # EHole 过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'cms': 'cms',\n 'method': 'method',\n 'location': 'location',\n 'type': 'type',\n 'isImportant': 'is_important',\n }\n \n def parse_import_data(self, json_data: dict) -> list:\n \"\"\"\n 解析 EHole JSON 格式的导入数据\n \n 输入格式：{\"fingerprint\": [...]}\n 返回：指纹列表\n \"\"\"\n return json_data.get('fingerprint', [])\n \n def get_export_filename(self) -> str:\n \"\"\"导出文件名\"\"\"\n return 'ehole.json'\n" }, { "path": "backend/apps/engine/views/fingerprints/fingerprinthub.py", "content": "\"\"\"FingerPrintHub 指纹管理 ViewSet\"\"\"\n\nfrom apps.common.pagination import BasePagination\nfrom apps.engine.models import FingerPrintHubFingerprint\nfrom apps.engine.serializers.fingerprints import FingerPrintHubFingerprintSerializer\nfrom apps.engine.services.fingerprints import FingerPrintHubFingerprintService\n\nfrom .base import BaseFingerprintViewSet\n\n\nclass FingerPrintHubFingerprintViewSet(BaseFingerprintViewSet):\n \"\"\"FingerPrintHub 指纹管理 ViewSet\n \n 继承自 BaseFingerprintViewSet，提供以下 API：\n \n 标准 CRUD（ModelViewSet）：\n - GET / 列表查询（分页）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（继承自基类）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载\n \n 智能过滤语法（filter 参数）：\n - name=\"word\" 模糊匹配 name 字段\n - fp_id==\"xxx\" 精确匹配指纹ID\n - author=\"xxx\" 按作者筛选\n - severity=\"info\" 按严重程度筛选\n - tags=\"cms\" 按标签筛选\n \"\"\"\n \n queryset = FingerPrintHubFingerprint.objects.all()\n serializer_class = FingerPrintHubFingerprintSerializer\n pagination_class = BasePagination\n service_class = FingerPrintHubFingerprintService\n \n # 排序配置\n ordering_fields = ['created_at', 'name', 'severity']\n ordering = ['-created_at']\n \n # FingerPrintHub 过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'fp_id': 'fp_id',\n 'name': 'name',\n 'author': 'author',\n 'tags': 'tags',\n 'severity': 'severity',\n 'source_file': 'source_file',\n }\n \n # JSON 数组字段（使用 __contains 查询）\n JSON_ARRAY_FIELDS = ['http']\n \n def parse_import_data(self, json_data) -> list:\n \"\"\"\n 解析 FingerPrintHub JSON 格式的导入数据\n \n 输入格式：[{...}, {...}] 数组格式\n 返回：指纹列表\n \"\"\"\n if isinstance(json_data, list):\n return json_data\n return []\n \n def get_export_filename(self) -> str:\n \"\"\"导出文件名\"\"\"\n return 'fingerprinthub_web.json'\n" }, { "path": "backend/apps/engine/views/fingerprints/fingers.py", "content": "\"\"\"Fingers 指纹管理 ViewSet\"\"\"\n\nfrom apps.common.pagination import BasePagination\nfrom apps.engine.models import FingersFingerprint\nfrom apps.engine.serializers.fingerprints import FingersFingerprintSerializer\nfrom apps.engine.services.fingerprints import FingersFingerprintService\n\nfrom .base import BaseFingerprintViewSet\n\n\nclass FingersFingerprintViewSet(BaseFingerprintViewSet):\n \"\"\"Fingers 指纹管理 ViewSet\n \n 继承自 BaseFingerprintViewSet，提供以下 API：\n \n 标准 CRUD（ModelViewSet）：\n - GET / 列表查询（分页）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（继承自基类）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载\n \n 智能过滤语法（filter 参数）：\n - name=\"word\" 模糊匹配 name 字段\n - name==\"WordPress\" 精确匹配\n - tag=\"cms\" 按标签筛选\n - focus=\"true\" 按重点关注筛选\n \"\"\"\n \n queryset = FingersFingerprint.objects.all()\n serializer_class = FingersFingerprintSerializer\n pagination_class = BasePagination\n service_class = FingersFingerprintService\n \n # 排序配置\n ordering_fields = ['created_at', 'name']\n ordering = ['-created_at']\n \n # Fingers 过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'name': 'name',\n 'link': 'link',\n 'focus': 'focus',\n }\n \n # JSON 数组字段（使用 __contains 查询）\n JSON_ARRAY_FIELDS = ['tag', 'rule', 'default_port']\n \n def parse_import_data(self, json_data) -> list:\n \"\"\"\n 解析 Fingers JSON 格式的导入数据\n \n 输入格式：[{...}, {...}] 数组格式\n 返回：指纹列表\n \"\"\"\n if isinstance(json_data, list):\n return json_data\n return []\n \n def get_export_filename(self) -> str:\n \"\"\"导出文件名\"\"\"\n return 'fingers_http.json'\n" }, { "path": "backend/apps/engine/views/fingerprints/goby.py", "content": "\"\"\"Goby 指纹管理 ViewSet\"\"\"\n\nfrom apps.common.pagination import BasePagination\nfrom apps.engine.models import GobyFingerprint\nfrom apps.engine.serializers.fingerprints import GobyFingerprintSerializer\nfrom apps.engine.services.fingerprints import GobyFingerprintService\n\nfrom .base import BaseFingerprintViewSet\n\n\nclass GobyFingerprintViewSet(BaseFingerprintViewSet):\n \"\"\"Goby 指纹管理 ViewSet\n \n 继承自 BaseFingerprintViewSet，提供以下 API：\n \n 标准 CRUD（ModelViewSet）：\n - GET / 列表查询（分页）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（继承自基类）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载\n \n 智能过滤语法（filter 参数）：\n - name=\"word\" 模糊匹配 name 字段\n - name==\"ProductName\" 精确匹配\n \"\"\"\n \n queryset = GobyFingerprint.objects.all()\n serializer_class = GobyFingerprintSerializer\n pagination_class = BasePagination\n service_class = GobyFingerprintService\n \n # 排序配置\n ordering_fields = ['created_at', 'name']\n ordering = ['-created_at']\n \n # Goby 过滤字段映射\n FILTER_FIELD_MAPPING = {\n 'name': 'name',\n 'logic': 'logic',\n }\n \n def parse_import_data(self, json_data) -> list:\n \"\"\"\n 解析 Goby JSON 格式的导入数据\n \n Goby 格式是数组格式：[{...}, {...}, ...]\n \n 输入格式：[{\"name\": \"...\", \"logic\": \"...\", \"rule\": [...]}, ...]\n 返回：指纹列表\n \"\"\"\n if isinstance(json_data, list):\n return json_data\n return []\n \n def get_export_filename(self) -> str:\n \"\"\"导出文件名\"\"\"\n return 'goby.json'\n" }, { "path": "backend/apps/engine/views/fingerprints/wappalyzer.py", "content": "\"\"\"Wappalyzer 指纹管理 ViewSet\"\"\"\n\nfrom apps.common.pagination import BasePagination\nfrom apps.engine.models import WappalyzerFingerprint\nfrom apps.engine.serializers.fingerprints import WappalyzerFingerprintSerializer\nfrom apps.engine.services.fingerprints import WappalyzerFingerprintService\n\nfrom .base import BaseFingerprintViewSet\n\n\nclass WappalyzerFingerprintViewSet(BaseFingerprintViewSet):\n \"\"\"Wappalyzer 指纹管理 ViewSet\n \n 继承自 BaseFingerprintViewSet，提供以下 API：\n \n 标准 CRUD（ModelViewSet）：\n - GET / 列表查询（分页）\n - POST / 创建单条\n - GET /{id}/ 获取详情\n - PUT /{id}/ 更新\n - DELETE /{id}/ 删除\n \n 批量操作（继承自基类）：\n - POST /batch_create/ 批量创建（JSON body）\n - POST /import_file/ 文件导入（multipart/form-data）\n - POST /bulk-delete/ 批量删除\n - POST /delete-all/ 删除所有\n - GET /export/ 导出下载\n \n 智能过滤语法（filter 参数）：\n - name=\"word\" 模糊匹配 name 字段\n - name==\"AppName\" 精确匹配\n \"\"\"\n \n queryset = WappalyzerFingerprint.objects.all()\n serializer_class = WappalyzerFingerprintSerializer\n pagination_class = BasePagination\n service_class = WappalyzerFingerprintService\n \n # 排序配置\n ordering_fields = ['created_at', 'name']\n ordering = ['-created_at']\n \n # Wappalyzer 过滤字段映射\n # 注意：implies 是 JSON 数组字段，使用 __contains 查询\n FILTER_FIELD_MAPPING = {\n 'name': 'name',\n 'description': 'description',\n 'website': 'website',\n 'cpe': 'cpe',\n 'implies': 'implies', # JSON 数组字段\n }\n \n # JSON 数组字段列表（使用 __contains 查询）\n JSON_ARRAY_FIELDS = ['implies']\n \n def parse_import_data(self, json_data: dict) -> list:\n \"\"\"\n 解析 Wappalyzer JSON 格式的导入数据\n \n Wappalyzer 格式是 apps 对象格式：{\"apps\": {\"AppName\": {...}, ...}}\n \n 输入格式：{\"apps\": {\"1C-Bitrix\": {\"cats\": [...], ...}, ...}}\n 返回：指纹列表（每个 app 转换为带 name 字段的 dict）\n \"\"\"\n apps = json_data.get('apps', {})\n fingerprints = []\n for name, data in apps.items():\n item = {'name': name, **data}\n fingerprints.append(item)\n return fingerprints\n \n def get_export_filename(self) -> str:\n \"\"\"导出文件名\"\"\"\n return 'wappalyzer.json'\n" }, { "path": "backend/apps/engine/views/nuclei_template_repo_views.py", "content": "\"\"\"Nuclei 模板仓库 View 层（HTTP 接口）\n\n本模块提供 Nuclei 多仓库管理的 REST API，基于 DRF ModelViewSet。\n\nAPI 列表：\n==========\n\n仓库 CRUD（ModelViewSet 默认实现）：\n- GET /api/nuclei/repos/ 获取仓库列表\n- POST /api/nuclei/repos/ 创建仓库\n- GET /api/nuclei/repos/{id}/ 获取仓库详情\n- PUT /api/nuclei/repos/{id}/ 更新仓库\n- DELETE /api/nuclei/repos/{id}/ 删除仓库\n\n自定义 Action：\n- POST /api/nuclei/repos/{id}/refresh/ 手动 Git 同步（clone/pull）\n- GET /api/nuclei/repos/{id}/templates/tree/ 获取当前本地模板目录树（不自动同步）\n- GET /api/nuclei/repos/{id}/templates/content/ 获取单个模板内容（只读）\n\n调用链路：\n HTTP Request → View → Service → Repository → Model/FileSystem\n\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\n\nfrom django.core.exceptions import ValidationError\nfrom rest_framework import status, viewsets\nfrom rest_framework.decorators import action\nfrom rest_framework.request import Request\nfrom rest_framework.response import Response\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.engine.models import NucleiTemplateRepo\nfrom apps.engine.serializers import NucleiTemplateRepoSerializer\nfrom apps.engine.services import NucleiTemplateRepoService\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass NucleiTemplateRepoViewSet(viewsets.ModelViewSet):\n \"\"\"Nuclei 模板 Git 仓库 ViewSet\n\n 继承 ModelViewSet，自动获得 CRUD 能力：\n - list: 获取仓库列表\n - create: 创建仓库\n - retrieve: 获取仓库详情\n - update: 更新仓库\n - destroy: 删除仓库\n\n 额外提供三个自定义 Action（见下方方法）。\n\n Attributes:\n queryset: 默认查询集，按创建时间倒序\n serializer_class: 序列化器类\n service: Service 层实例，处理业务逻辑\n \"\"\"\n\n # DRF ModelViewSet 配置\n queryset = NucleiTemplateRepo.objects.all().order_by(\"-created_at\")\n serializer_class = NucleiTemplateRepoSerializer\n\n def __init__(self, *args, **kwargs) -> None: # type: ignore[override]\n \"\"\"初始化 ViewSet，创建 Service 实例\"\"\"\n super().__init__(*args, **kwargs)\n self.service = NucleiTemplateRepoService()\n\n def perform_create(self, serializer) -> None: # type: ignore[override]\n \"\"\"创建仓库时初始化本地路径目录\n\n 设计原则：第一次创建仓库就确定好 local_path，后续所有 Git 拉取和模板读取\n 都复用这个固定目录，避免运行时才临时决定路径。\n \"\"\"\n instance = serializer.save()\n # 初始化并持久化 local_path，同时在文件系统中创建对应目录\n self.service.ensure_local_path(instance)\n\n def perform_destroy(self, instance: NucleiTemplateRepo) -> None: # type: ignore[override]\n \"\"\"删除仓库时同时清理本地目录\n\n 前端在 /tools/nuclei/ 点击删除时：\n - 这里会先尝试删除 instance.local_path 对应的目录\n - 然后调用父类逻辑删除数据库记录\n \"\"\"\n # 清理本地目录（最佳努力，不影响主流程）\n self.service.remove_local_path_dir(instance)\n super().perform_destroy(instance)\n\n # ==================== 自定义 Action: Git 同步 ====================\n\n @action(detail=True, methods=[\"post\"], url_path=\"refresh\")\n def refresh(self, request: Request, pk: str | None = None) -> Response:\n \"\"\"手动触发 Git 同步\n\n POST /api/nuclei/repos/{id}/refresh/\n\n 执行 git clone（首次）或 git pull（后续）。\n 同步成功后更新 last_synced_at。\n\n Returns:\n 200: {\"message\": \"刷新成功\", \"result\": {...}}\n 400: {\"message\": \"无效的仓库 ID\"} 或 {\"message\": \"仓库不存在\"}\n 500: {\"message\": \"刷新仓库失败\"}\n \"\"\"\n # 解析仓库 ID\n try:\n repo_id = int(pk) if pk is not None else None\n except (TypeError, ValueError):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Invalid repository ID',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n # 调用 Service 层\n try:\n result = self.service.refresh_repo(repo_id)\n except ValidationError as exc:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(exc),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n except Exception as exc: # noqa: BLE001\n logger.error(\"刷新 Nuclei 模板仓库失败: %s\", exc, exc_info=True)\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message=f'Refresh failed: {exc}',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n return success_response(data={'result': result})\n\n # ==================== 自定义 Action: 模板只读浏览 ====================\n\n @action(detail=True, methods=[\"get\"], url_path=\"templates/tree\")\n def templates_tree(self, request: Request, pk: str | None = None) -> Response:\n \"\"\"获取模板目录树\n\n GET /api/nuclei/repos/{id}/templates/tree/\n\n 只读取当前本地仓库目录，不主动触发 Git 同步。\n 如需拉取远端最新内容，请先调用 POST /api/nuclei/repos/{id}/refresh/。\n\n 返回的树形结构包含所有文件夹和 .yaml/.yml 文件。\n\n Returns:\n 200: {\"roots\": [{type, name, path, children}, ...]}\n 400: {\"message\": \"无效的仓库 ID\"} 或 {\"message\": \"仓库不存在\"}\n 500: {\"message\": \"获取模板目录树失败\"}\n \"\"\"\n # 解析仓库 ID\n try:\n repo_id = int(pk) if pk is not None else None\n except (TypeError, ValueError):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Invalid repository ID',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n # 调用 Service 层，仅从当前本地目录读取目录树\n try:\n roots = self.service.get_template_tree(repo_id)\n except ValidationError as exc:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(exc),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n except Exception as exc: # noqa: BLE001\n logger.error(\"获取 Nuclei 模板目录树失败: %s\", exc, exc_info=True)\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to get template tree',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n return success_response(data={'roots': roots})\n\n @action(detail=True, methods=[\"get\"], url_path=\"templates/content\")\n def templates_content(self, request: Request, pk: str | None = None) -> Response:\n \"\"\"获取单个模板文件内容\n\n GET /api/nuclei/repos/{id}/templates/content/?path=http/example.yaml\n\n Query Parameters:\n path: 模板相对路径，如 \"http/cves/CVE-2021-1234.yaml\"\n\n Returns:\n 200: {\"path\": \"...\", \"name\": \"...\", \"content\": \"...\"}\n 400: {\"message\": \"无效的仓库 ID\"} 或 {\"message\": \"缺少 path 参数\"}\n 404: {\"message\": \"模板不存在或无法读取\"}\n 500: {\"message\": \"获取模板内容失败\"}\n \"\"\"\n # 解析仓库 ID\n try:\n repo_id = int(pk) if pk is not None else None\n except (TypeError, ValueError):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Invalid repository ID',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n # 解析 path 参数\n rel_path = (request.query_params.get(\"path\", \"\") or \"\").strip()\n if not rel_path:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Missing path parameter',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n # 调用 Service 层\n try:\n result = self.service.get_template_content(repo_id, rel_path)\n except ValidationError as exc:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(exc),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n except Exception as exc: # noqa: BLE001\n logger.error(\"获取 Nuclei 模板内容失败: %s\", exc, exc_info=True)\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to get template content',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n # 文件不存在\n if result is None:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Template not found or unreadable',\n status_code=status.HTTP_404_NOT_FOUND\n )\n return success_response(data=result)\n" }, { "path": "backend/apps/engine/views/wordlist_views.py", "content": "\"\"\"字典管理 API Views\"\"\"\n\nimport os\n\nfrom django.core.exceptions import ValidationError\nfrom django.http import FileResponse\nfrom rest_framework import status, viewsets\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\n\nfrom apps.common.pagination import BasePagination\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.engine.serializers.wordlist_serializer import WordlistSerializer\nfrom apps.engine.services.wordlist_service import WordlistService\n\n\nclass WordlistViewSet(viewsets.ViewSet):\n \"\"\"字典管理 ViewSet\"\"\"\n\n pagination_class = BasePagination\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.service = WordlistService()\n\n @property\n def paginator(self):\n \"\"\"懒加载分页器实例\"\"\"\n if not hasattr(self, \"_paginator\"):\n if self.pagination_class is None:\n self._paginator = None\n else:\n self._paginator = self.pagination_class()\n return self._paginator\n\n def list(self, request):\n \"\"\"获取字典列表\"\"\"\n queryset = self.service.get_queryset()\n page = self.paginator.paginate_queryset(queryset, request, view=self)\n serializer = WordlistSerializer(page, many=True)\n return self.paginator.get_paginated_response(serializer.data)\n\n def create(self, request):\n \"\"\"上传并创建字典记录\"\"\"\n name = (request.data.get(\"name\", \"\") or \"\").strip()\n description = request.data.get(\"description\", \"\") or \"\"\n uploaded_file = request.FILES.get(\"file\")\n\n if not uploaded_file:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Missing wordlist file',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n try:\n wordlist = self.service.create_wordlist(\n name=name,\n description=description,\n uploaded_file=uploaded_file,\n )\n except ValidationError as exc:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(exc),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n serializer = WordlistSerializer(wordlist)\n return success_response(data=serializer.data, status_code=status.HTTP_201_CREATED)\n\n def destroy(self, request, pk=None):\n \"\"\"删除字典记录\"\"\"\n try:\n wordlist_id = int(pk)\n except (TypeError, ValueError):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Invalid ID',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n success = self.service.delete_wordlist(wordlist_id)\n if not success:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n status_code=status.HTTP_404_NOT_FOUND\n )\n\n return Response(status=status.HTTP_204_NO_CONTENT)\n\n @action(detail=False, methods=[\"get\"], url_path=\"download\")\n def download(self, request):\n \"\"\"通过字典名称下载文件内容\n\n Query 参数：\n - wordlist: 字典名称，对应 Wordlist.name（唯一）\n \"\"\"\n name = (request.query_params.get(\"wordlist\", \"\") or \"\").strip()\n if not name:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Missing parameter: wordlist',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n wordlist = self.service.get_wordlist_by_name(name)\n if not wordlist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Wordlist not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n\n file_path = wordlist.file_path\n if not file_path or not os.path.exists(file_path):\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Wordlist file not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n\n filename = os.path.basename(file_path)\n response = FileResponse(open(file_path, \"rb\"), as_attachment=True, filename=filename)\n return response\n\n @action(detail=True, methods=[\"get\", \"put\"], url_path=\"content\")\n def content(self, request, pk=None):\n \"\"\"获取或更新字典文件内容\n\n GET: 返回字典文件的文本内容\n PUT: 更新字典文件内容，重新计算 hash\n \"\"\"\n try:\n wordlist_id = int(pk)\n except (TypeError, ValueError):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Invalid ID',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n if request.method == \"GET\":\n content = self.service.get_wordlist_content(wordlist_id)\n if content is None:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Wordlist not found or file unreadable',\n status_code=status.HTTP_404_NOT_FOUND\n )\n return success_response(data={\"content\": content})\n\n elif request.method == \"PUT\":\n content = request.data.get(\"content\")\n if content is None:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Missing content parameter',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n\n wordlist = self.service.update_wordlist_content(wordlist_id, content)\n if not wordlist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message='Wordlist not found or update failed',\n status_code=status.HTTP_404_NOT_FOUND\n )\n\n serializer = WordlistSerializer(wordlist)\n return success_response(data=serializer.data)\n" }, { "path": "backend/apps/engine/views/worker_views.py", "content": "\"\"\"\nWorker 节点 Views\n\"\"\"\nimport os\nimport threading\nimport logging\n\nfrom rest_framework import viewsets, status\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.engine.serializers import WorkerNodeSerializer\nfrom apps.engine.services import WorkerService\nfrom apps.common.signals import worker_delete_failed\n\nlogger = logging.getLogger(__name__)\n\n\nclass WorkerNodeViewSet(viewsets.ModelViewSet):\n \"\"\"\n Worker 节点 ViewSet\n \n HTTP API:\n - GET /api/workers/ - 获取节点列表\n - POST /api/workers/ - 创建节点\n - DELETE /api/workers/{id}/ - 删除节点（同时执行远程卸载）\n - POST /api/workers/{id}/heartbeat/ - 心跳上报\n \n 部署通过 WebSocket 终端进行:\n - ws://host/ws/workers/{id}/deploy/\n \"\"\"\n \n serializer_class = WorkerNodeSerializer\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.worker_service = WorkerService()\n\n def get_queryset(self):\n \"\"\"通过服务层获取 Worker 查询集\"\"\"\n return self.worker_service.get_all_workers()\n \n def get_serializer_context(self):\n \"\"\"传入批量查询的 Redis 负载数据，避免 N+1 查询\"\"\"\n context = super().get_serializer_context()\n \n # 仅在 list 操作时批量预加载\n if self.action == 'list':\n from apps.engine.services.worker_load_service import worker_load_service\n queryset = self.get_queryset()\n worker_ids = list(queryset.values_list('id', flat=True))\n context['loads'] = worker_load_service.get_all_loads(worker_ids)\n \n return context\n \n def destroy(self, request, *args, **kwargs):\n \"\"\"\n 删除 Worker 节点\n \n 流程：\n 1. 后台线程执行远程卸载脚本\n 2. 卸载完成后删除数据库记录\n 3. 发送通知\n \"\"\"\n worker = self.get_object()\n \n # 在主线程中提取所有需要的数据（避免后台线程访问 ORM 对象）\n worker_id = worker.id\n worker_name = worker.name\n ip_address = worker.ip_address\n ssh_port = worker.ssh_port\n username = worker.username\n password = worker.password\n \n # 1. 删除 Redis 中的负载数据\n from apps.engine.services.worker_load_service import worker_load_service\n worker_load_service.delete_load(worker_id)\n \n # 2. 删除数据库记录（立即生效，前端刷新时不会再看到）\n self.worker_service.delete_worker(worker_id)\n \n def _async_remote_uninstall():\n \"\"\"后台执行远程卸载\"\"\"\n try:\n success, message = self.worker_service.remote_uninstall(\n worker_id=worker_id,\n ip_address=ip_address,\n ssh_port=ssh_port,\n username=username,\n password=password\n )\n if success:\n logger.info(f\"Worker {worker_name} 远程卸载成功\")\n else:\n logger.warning(f\"Worker {worker_name} 远程卸载: {message}\")\n # 卸载失败时发送通知\n worker_delete_failed.send(\n sender=self.__class__,\n worker_name=worker_name,\n message=message\n )\n except Exception as e:\n logger.error(f\"Worker {worker_name} 远程卸载失败: {e}\")\n worker_delete_failed.send(\n sender=self.__class__,\n worker_name=worker_name,\n message=str(e)\n )\n \n # 2. 后台线程执行远程卸载（不阻塞响应）\n threading.Thread(target=_async_remote_uninstall, daemon=True).start()\n \n # 3. 立即返回成功\n return success_response(\n data={'name': worker_name}\n )\n \n @action(detail=True, methods=['post'])\n def heartbeat(self, request, pk=None):\n \"\"\"\n 接收心跳上报（写 Redis，首次心跳更新部署状态，检查版本）\n \n 请求体:\n {\n \"cpu_percent\": 50.0,\n \"memory_percent\": 60.0,\n \"version\": \"v1.0.9\"\n }\n \n 返回:\n {\n \"status\": \"ok\",\n \"need_update\": true/false,\n \"server_version\": \"v1.0.19\"\n }\n \n 状态流转:\n ┌─────────────────────────────────────────────────────────────────────┐\n │ 场景 │ 状态变化 │\n ├─────────────────────────────┼───────────────────────────────────────┤\n │ 首次心跳 │ pending/deploying → online │\n │ 远程 Worker 版本不匹配 │ online → updating → (更新成功) online │\n │ 远程 Worker 更新失败 │ updating → outdated │\n │ 本地 Worker 版本不匹配 │ online → outdated (需手动 update.sh) │\n │ 版本匹配 │ updating/outdated → online │\n └─────────────────────────────┴───────────────────────────────────────┘\n \"\"\"\n from apps.engine.services.worker_load_service import worker_load_service\n from django.conf import settings\n \n worker = self.get_object()\n info = request.data if request.data else {}\n \n # 1. 写入 Redis（实时负载数据，TTL=60秒）\n cpu = info.get('cpu_percent', 0)\n mem = info.get('memory_percent', 0)\n worker_load_service.update_load(worker.id, cpu, mem)\n \n # 2. 首次心跳：更新状态为 online\n if worker.status not in ('online', 'offline'):\n worker.status = 'online'\n worker.save(update_fields=['status'])\n \n # 3. 版本检查：比较 agent 版本与 server 版本\n agent_version = info.get('version', '')\n server_version = settings.IMAGE_TAG # Server 当前版本\n need_update = False\n \n if agent_version and agent_version != 'unknown':\n # 版本不匹配时通知 agent 更新\n need_update = agent_version != server_version\n if need_update:\n logger.info(\n f\"Worker {worker.name} 版本不匹配: agent={agent_version}, server={server_version}\"\n )\n \n # 远程 Worker：服务端主动通过 SSH 触发更新\n if not worker.is_local and worker.ip_address:\n self._trigger_remote_agent_update(worker, server_version)\n else:\n # 本地 Worker 版本不匹配：标记为 outdated\n # 需要用户手动执行 update.sh 更新\n if worker.status != 'outdated':\n worker.status = 'outdated'\n worker.save(update_fields=['status'])\n else:\n # 版本匹配，确保状态为 online\n if worker.status in ('updating', 'outdated'):\n worker.status = 'online'\n worker.save(update_fields=['status'])\n \n return success_response(\n data={\n 'status': 'ok',\n 'needUpdate': need_update,\n 'serverVersion': server_version\n }\n )\n \n def _trigger_remote_agent_update(self, worker, target_version: str):\n \"\"\"\n 通过 SSH 触发远程 agent 更新（后台执行，不阻塞心跳响应）\n \n 使用 Redis 锁防止重复触发（同一 worker 60秒内只触发一次）\n \"\"\"\n import redis\n from django.conf import settings as django_settings\n \n redis_url = f\"redis://{django_settings.REDIS_HOST}:{django_settings.REDIS_PORT}/{django_settings.REDIS_DB}\"\n redis_client = redis.from_url(redis_url)\n lock_key = f\"agent_update_lock:{worker.id}\"\n \n # 尝试获取锁（60秒过期，防止重复触发）\n if not redis_client.set(lock_key, \"1\", nx=True, ex=60):\n logger.debug(f\"Worker {worker.name} 更新已在进行中，跳过\")\n return\n \n # 获取锁成功，设置状态为 updating\n self._set_worker_status(worker.id, 'updating')\n \n # 提取数据避免后台线程访问 ORM\n worker_id = worker.id\n worker_name = worker.name\n ip_address = worker.ip_address\n ssh_port = worker.ssh_port\n username = worker.username\n password = worker.password\n \n def _async_update():\n try:\n logger.info(f\"开始远程更新 Worker {worker_name} 到 {target_version}\")\n \n # 构建更新命令：拉取新镜像并重启 agent\n docker_user = getattr(django_settings, 'DOCKER_USER', 'yyhuni')\n update_cmd = f'''\n docker pull {docker_user}/xingrin-agent:{target_version} && \\\n docker stop xingrin-agent 2>/dev/null || true && \\\n docker rm xingrin-agent 2>/dev/null || true && \\\n docker run -d --pull=always \\\n --name xingrin-agent \\\n --restart always \\\n -e HEARTBEAT_API_URL=\"https://{django_settings.PUBLIC_HOST}:{getattr(django_settings, 'PUBLIC_PORT', '8083')}\" \\\n -e WORKER_ID=\"{worker_id}\" \\\n -e IMAGE_TAG=\"{target_version}\" \\\n -v /proc:/host/proc:ro \\\n {docker_user}/xingrin-agent:{target_version}\n '''\n \n success, message = self.worker_service.execute_remote_command(\n ip_address=ip_address,\n ssh_port=ssh_port,\n username=username,\n password=password,\n command=update_cmd\n )\n \n if success:\n logger.info(f\"Worker {worker_name} 远程更新成功\")\n # 更新成功后，新 agent 心跳会自动把状态改回 online\n else:\n logger.warning(f\"Worker {worker_name} 远程更新失败: {message}\")\n # 更新失败，标记为 outdated\n self._set_worker_status(worker_id, 'outdated')\n \n except Exception as e:\n logger.error(f\"Worker {worker_name} 远程更新异常: {e}\")\n self._set_worker_status(worker_id, 'outdated')\n finally:\n # 释放锁\n redis_client.delete(lock_key)\n \n # 后台执行，不阻塞心跳响应\n threading.Thread(target=_async_update, daemon=True).start()\n \n def _set_worker_status(self, worker_id: int, status: str):\n \"\"\"更新 Worker 状态（用于后台线程）\"\"\"\n try:\n from apps.engine.models import WorkerNode\n WorkerNode.objects.filter(id=worker_id).update(status=status)\n except Exception as e:\n logger.error(f\"更新 Worker {worker_id} 状态失败: {e}\")\n \n @action(detail=False, methods=['post'])\n def register(self, request):\n \"\"\"\n Worker 自注册 API\n \n 本地 Worker 启动时调用此接口注册自己。\n 如果同名节点已存在，返回现有记录；否则创建新记录。\n \n 请求体:\n {\n \"name\": \"Local-Scan-Worker\",\n \"is_local\": true\n }\n \n 返回:\n {\n \"worker_id\": 1,\n \"name\": \"Local-Scan-Worker\",\n \"created\": false # true 表示新创建，false 表示已存在\n }\n \"\"\"\n name = request.data.get('name')\n is_local = request.data.get('is_local', True)\n \n if not name:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Missing name parameter',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n worker, created = self.worker_service.register_worker(\n name=name,\n is_local=is_local\n )\n \n return success_response(\n data={\n 'workerId': worker.id,\n 'name': worker.name,\n 'created': created\n }\n )\n \n @action(detail=False, methods=['get'])\n def config(self, request):\n \"\"\"\n 获取任务容器配置（配置中心 API）\n \n Worker 启动时调用此接口获取完整配置，实现配置中心化管理。\n Worker 通过 IS_LOCAL 环境变量声明身份，请求时带上 ?is_local=true/false 参数。\n \n 请求参数:\n is_local: true/false - Worker 是否为本地节点（Docker 网络内）\n \n 返回:\n {\n \"db\": {\"host\": \"...\", \"port\": \"...\", ...},\n \"paths\": {\"results\": \"...\", \"logs\": \"...\"}\n }\n \n 配置逻辑:\n - 本地 Worker (is_local=true): db_host=postgres\n - 远程 Worker (is_local=false): db_host=PUBLIC_HOST\n \"\"\"\n from django.conf import settings\n import logging\n logger = logging.getLogger(__name__)\n \n # 从请求参数获取 Worker 身份（由 Worker 自己声明）\n # 不再依赖 IP 判断，避免不同网络环境下的兼容性问题\n is_local_param = request.query_params.get('is_local', '').lower()\n is_local_worker = is_local_param == 'true'\n \n # 根据请求来源返回不同的数据库地址\n db_host = settings.DATABASES['default']['HOST']\n _is_internal_db = db_host in ('postgres', 'localhost', '127.0.0.1')\n \n logger.info(\n \"Worker 配置请求 - is_local_param: %s, is_local_worker: %s, db_host: %s, is_internal_db: %s\",\n is_local_param, is_local_worker, db_host, _is_internal_db\n )\n \n if _is_internal_db:\n # 本地数据库场景\n if is_local_worker:\n # 本地 Worker：直接用 Docker 内部服务名\n worker_db_host = 'postgres'\n else:\n # 远程 Worker：通过公网 IP 访问\n public_host = settings.PUBLIC_HOST\n if public_host in ('server', 'localhost', '127.0.0.1'):\n logger.warning(\"远程 Worker 请求配置，但 PUBLIC_HOST=%s 不是有效的公网地址\", public_host)\n worker_db_host = public_host\n else:\n # 远程数据库场景：所有 Worker 都用 DB_HOST\n worker_db_host = db_host\n \n logger.info(\"返回 Worker 配置 - db_host: %s\", worker_db_host)\n \n return success_response(\n data={\n 'db': {\n 'host': worker_db_host,\n 'port': str(settings.DATABASES['default']['PORT']),\n 'name': settings.DATABASES['default']['NAME'],\n 'user': settings.DATABASES['default']['USER'],\n 'password': settings.DATABASES['default']['PASSWORD'],\n },\n 'paths': {\n 'results': getattr(settings, 'CONTAINER_RESULTS_MOUNT', '/opt/xingrin/results'),\n 'logs': getattr(settings, 'CONTAINER_LOGS_MOUNT', '/opt/xingrin/logs'),\n },\n 'logging': {\n 'level': os.getenv('LOG_LEVEL', 'INFO'),\n 'enableCommandLogging': os.getenv('ENABLE_COMMAND_LOGGING', 'true').lower() == 'true',\n },\n 'debug': settings.DEBUG,\n }\n )\n" }, { "path": "backend/apps/scan/__init__.py", "content": "" }, { "path": "backend/apps/scan/apps.py", "content": "from django.apps import AppConfig\n\n\nclass ScanConfig(AppConfig):\n \"\"\"扫描应用配置类\"\"\"\n default_auto_field = 'django.db.models.BigAutoField'\n name = 'apps.scan'\n \n def ready(self):\n \"\"\"应用启动时注册信号接收器\"\"\"\n # 导入接收器模块以注册信号处理函数\n from apps.scan.notifications import receivers # noqa: F401" }, { "path": "backend/apps/scan/configs/command_templates.py", "content": "\"\"\"\n扫描工具命令模板（简化版，不使用 Jinja2）\n\n使用 Python 原生字符串格式化，零依赖。\n\"\"\"\n\nfrom django.conf import settings\n\n# ==================== 路径配置 ====================\nSCAN_TOOLS_BASE_PATH = getattr(settings, 'SCAN_TOOLS_BASE_PATH', '/usr/local/bin')\n\n# ==================== 子域名发现 ====================\n\nSUBDOMAIN_DISCOVERY_COMMANDS = {\n 'subfinder': {\n # 使用所有数据源（包括付费源，只要配置了 API key）\n # -all 使用所有数据源（slow 但全面）\n # -v 显示详细输出，包括使用的数据源（调试用）\n # 注意：不要加 -recursive，它会排除不支持递归的源（如 fofa）\n 'base': \"subfinder -d {domain} -all -o '{output_file}' -v\",\n 'optional': {\n 'threads': '-t {threads}', # 控制并发 goroutine 数\n 'provider_config': \"-pc '{provider_config}'\", # Provider 配置文件路径\n }\n },\n \n 'sublist3r': {\n 'base': \"python3 '/usr/local/share/Sublist3r/sublist3r.py' -d {domain} -o '{output_file}'\",\n 'optional': {\n 'threads': '-t {threads}'\n }\n },\n \n 'assetfinder': {\n 'base': \"assetfinder --subs-only {domain} > '{output_file}'\",\n },\n \n # === 主动字典爆破 ===\n 'subdomain_bruteforce': {\n # 使用字典对目标域名进行 DNS 爆破\n # -d 目标域名，-w 字典文件，-o 输出文件\n 'base': \"puredns bruteforce '{wordlist}' {domain} -r /app/backend/resources/resolvers.txt --write '{output_file}' --quiet\",\n 'optional': {},\n },\n \n # === DNS 存活验证（最终统一验证）===\n 'subdomain_resolve': {\n # 验证子域名是否能解析（存活验证）\n # 输入文件为候选子域列表，输出为存活子域列表\n 'base': \"puredns resolve '{input_file}' -r /app/backend/resources/resolvers.txt --write '{output_file}' --wildcard-tests 50 --wildcard-batch 1000000 --quiet\",\n 'optional': {},\n },\n \n # === 变异生成 + 存活验证（流式管道，避免 OOM）===\n 'subdomain_permutation_resolve': {\n # 流式管道：dnsgen 生成变异域名 | puredns resolve 验证存活\n # 不落盘中间文件，避免内存爆炸；不做通配符过滤\n 'base': \"cat '{input_file}' | dnsgen - | puredns resolve -r /app/backend/resources/resolvers.txt --write '{output_file}' --wildcard-tests 50 --wildcard-batch 1000000 --quiet\",\n 'optional': {},\n },\n}\n\n\n# ==================== 端口扫描 ====================\n\nPORT_SCAN_COMMANDS = {\n 'naabu_active': {\n 'base': \"naabu -exclude-cdn -warm-up-time 5 -verify -list '{domains_file}' -json -silent\",\n 'optional': {\n 'threads': '-c {threads}',\n 'ports': '-p {ports}',\n 'top_ports': '-top-ports {top_ports}',\n 'rate': '-rate {rate}'\n }\n },\n \n 'naabu_passive': {\n 'base': \"naabu -list '{domains_file}' -passive -json -silent\"\n },\n}\n\n\n# ==================== 站点扫描 ====================\n\nSITE_SCAN_COMMANDS = {\n 'httpx': {\n 'base': (\n \"'{scan_tools_base}/httpx' -l '{url_file}' \"\n '-status-code -content-type -content-length '\n '-location -title -server '\n '-tech-detect -cdn -vhost '\n '-include-response '\n '-rstr 2000 '\n '-random-agent -no-color -json -silent'\n ),\n 'optional': {\n 'threads': '-threads {threads}',\n 'rate_limit': '-rate-limit {rate_limit}',\n 'request_timeout': '-timeout {request_timeout}',\n 'retries': '-retries {retries}'\n }\n },\n}\n\n\n# ==================== 目录扫描 ====================\n\nDIRECTORY_SCAN_COMMANDS = {\n 'ffuf': {\n 'base': \"'{scan_tools_base}/ffuf' -u '{url}FUZZ' -se -ac -sf -json -w '{wordlist}'\", \n 'optional': {\n 'delay': '-p {delay}',\n 'threads': '-t {threads}',\n 'request_timeout': '-timeout {request_timeout}',\n 'match_codes': '-mc {match_codes}',\n 'rate': '-rate {rate}'\n }\n },\n}\n\n\n# ==================== URL 获取 ====================\n\nURL_FETCH_COMMANDS = {\n 'waymore': {\n 'base': \"waymore -i {domain_name} -mode U -oU '{output_file}'\",\n 'input_type': 'domain_name'\n },\n \n 'katana': {\n 'base': (\n \"katana -list '{sites_file}' -o '{output_file}' \"\n '-jc ' # 开启 JavaScript 爬取 + 自动解析 .js 文件里的所有端点（最重要）\n '-xhr ' # 额外从 JS 中提取 XHR/Fetch 请求的 API 路径（再多挖 10-20% 隐藏接口）\n '-kf all ' # 在每个目录下自动 fuzz 所有已知敏感文件（.env、.git、backup、config、ds_store 等 5000+ 条）\n '-fs rdn ' # 智能过滤相对重复+噪声路径（分页、?id=1/2/3 这类垃圾全干掉，输出极干净）\n '-H \"User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36\" ' # 固定一个正常 UA（Katana 默认会随机，但固定更低调）\n '-silent ' # 安静模式（终端不输出进度条，只出 URL）\n ),\n 'optional': {\n 'depth': '-d {depth}', # 爬取最大深度（平衡深度与时间，默认 3，推荐 5）\n 'threads': '-c {threads}', # 全局并发数（极低并发最像真人，推荐 10）\n 'rate_limit': '-rl {rate_limit}', # 全局硬限速：每秒最多 N 个请求（WAF 几乎不报警，推荐 30）\n 'random_delay': '-rd {random_delay}', # 每次请求之间随机延迟 N 秒（再加一层人性化，推荐 1）\n 'retry': '-retry {retry}', # 失败请求自动重试次数（网络抖动不丢包，推荐 2）\n 'request_timeout': '-timeout {request_timeout}' # 单请求超时秒数（防卡死，推荐 12）\n },\n 'input_type': 'sites_file'\n },\n \n 'uro': {\n 'base': \"uro -i '{input_file}' -o '{output_file}'\",\n 'optional': {\n 'whitelist': '-w {whitelist}', # 只保留指定扩展名的 URL（空格分隔）\n 'blacklist': '-b {blacklist}', # 排除指定扩展名的 URL（空格分隔）\n 'filters': '-f {filters}' # 额外的过滤规则（空格分隔）\n }\n },\n \n 'httpx': {\n 'base': (\n \"'{scan_tools_base}/httpx' -l '{url_file}' \"\n '-status-code -content-type -content-length '\n '-location -title -server '\n '-tech-detect -cdn -vhost '\n '-include-response '\n '-rstr 2000 '\n '-random-agent -no-color -json -silent'\n ),\n 'optional': {\n 'threads': '-threads {threads}',\n 'rate_limit': '-rate-limit {rate_limit}',\n 'request_timeout': '-timeout {request_timeout}',\n 'retries': '-retries {retries}'\n }\n },\n}\n\nVULN_SCAN_COMMANDS = {\n 'dalfox_xss': {\n 'base': (\n 'dalfox --silence --no-color --no-spinner '\n '--skip-bav '\n \"file '{endpoints_file}' \"\n '--waf-evasion '\n '--format json'\n ),\n 'optional': {\n 'only_poc': '--only-poc {only_poc}',\n 'ignore_return': '--ignore-return {ignore_return}',\n 'blind_xss_server': '-b {blind_xss_server}',\n 'delay': '--delay {delay}',\n 'request_timeout': '--timeout {request_timeout}',\n # 是否追加 UA 头，由 user_agent 是否存在决定\n 'user_agent': '--user-agent \"{user_agent}\"',\n 'worker': '--worker {worker}',\n },\n 'input_type': 'endpoints_file',\n },\n 'nuclei': {\n # nuclei 漏洞扫描\n # -j: JSON 输出（每行一条完整 JSON）\n # -silent: 静默模式\n # -l: 输入 URL 列表文件\n # -t: 模板目录路径（支持多个仓库，多次 -t 由 template_args 直接拼接）\n 'base': \"nuclei -j -silent -l '{endpoints_file}' {template_args}\",\n 'optional': {\n 'concurrency': '-c {concurrency}', # 并发数（默认 25）\n 'rate_limit': '-rl {rate_limit}', # 每秒请求数限制\n 'request_timeout': '-timeout {request_timeout}', # 请求超时秒数\n 'bulk_size': '-bs {bulk_size}', # 批量处理大小\n 'retries': '-retries {retries}', # 重试次数\n 'severity': '-severity {severity}', # 过滤严重性（info,low,medium,high,critical）\n 'tags': '-tags {tags}', # 过滤标签\n 'exclude_tags': '-etags {exclude_tags}', # 排除标签\n },\n 'input_type': 'endpoints_file',\n },\n}\n\n\n# ==================== 指纹识别 ====================\n\nFINGERPRINT_DETECT_COMMANDS = {\n 'xingfinger': {\n # 流式输出模式（不使用 -o，输出到 stdout）\n # -l: URL 列表文件输入\n # -s: 静默模式，只输出命中结果\n # --json: JSON 格式输出（每行一条）\n 'base': \"xingfinger -l '{urls_file}' -s --json\",\n 'optional': {\n # 自定义指纹库路径\n 'ehole': '--ehole {ehole}',\n 'goby': '--goby {goby}',\n 'wappalyzer': '--wappalyzer {wappalyzer}',\n 'fingers': '--fingers {fingers}',\n 'fingerprinthub': '--fingerprint {fingerprinthub}',\n 'arl': '--arl {arl}',\n }\n },\n}\n\n\n# ==================== 工具映射 ====================\n\nCOMMAND_TEMPLATES = {\n 'subdomain_discovery': SUBDOMAIN_DISCOVERY_COMMANDS,\n 'port_scan': PORT_SCAN_COMMANDS,\n 'site_scan': SITE_SCAN_COMMANDS,\n 'fingerprint_detect': FINGERPRINT_DETECT_COMMANDS,\n 'directory_scan': DIRECTORY_SCAN_COMMANDS,\n 'url_fetch': URL_FETCH_COMMANDS,\n 'vuln_scan': VULN_SCAN_COMMANDS,\n 'screenshot': {}, # 使用 Python 原生库（Playwright），无命令模板\n}\n\n# ==================== 扫描类型配置 ====================\n\n# 执行阶段定义（按顺序执行）\n# Stage 1: 资产发现 - 子域名 → 端口 → 站点探测 → 指纹识别\n# Stage 2: URL 收集 - URL 获取 + 目录扫描（并行）\n# Stage 3: 截图 - 在 URL 收集完成后执行，捕获更多发现的页面\n# Stage 4: 漏洞扫描 - 最后执行\nEXECUTION_STAGES = [\n {\n 'mode': 'sequential',\n 'flows': ['subdomain_discovery', 'port_scan', 'site_scan', 'fingerprint_detect']\n },\n {\n 'mode': 'parallel',\n 'flows': ['url_fetch', 'directory_scan']\n },\n {\n 'mode': 'sequential',\n 'flows': ['screenshot']\n },\n {\n 'mode': 'sequential',\n 'flows': ['vuln_scan']\n },\n]\n\n\ndef get_supported_scan_types():\n \"\"\"\n 获取支持的扫描类型\n \n Returns:\n list: 支持的扫描类型列表（从 COMMAND_TEMPLATES 的 keys 获取）\n \"\"\"\n return list(COMMAND_TEMPLATES.keys())\n\n\ndef get_command_template(scan_type: str, tool_name: str) -> dict:\n \"\"\"\n 获取工具的命令模板\n \n Args:\n scan_type: 扫描类型\n tool_name: 工具名称\n \n Returns:\n 命令模板字典，如果未找到则返回 None\n \"\"\"\n templates = COMMAND_TEMPLATES.get(scan_type, {})\n return templates.get(tool_name)\n" }, { "path": "backend/apps/scan/configs/engine_config_example.yaml", "content": "# 引擎配置\n#\n# 参数命名：统一用中划线（如 rate-limit），系统自动转换为下划线\n# 必需参数：enabled（是否启用）\n# 可选参数：timeout（超时秒数，默认 auto 自动计算）\n\nsubdomain_discovery:\n # ==================== 子域名发现 ====================\n # Stage 1: 被动收集（并行） - 必选，至少启用一个工具\n # Stage 2: 字典爆破（可选） - 使用字典暴力枚举子域名\n # Stage 3: 变异生成 + 验证（可选） - 基于已发现域名生成变异，流式验证存活\n # Stage 4: DNS 存活验证（可选） - 验证所有候选域名是否能解析\n # === Stage 1: 被动收集工具（并行执行）===\n passive_tools:\n subfinder:\n enabled: true\n timeout: 3600 # 1小时\n # threads: 10 # 并发 goroutine 数\n \n sublist3r:\n enabled: true\n timeout: 3600\n # threads: 50 # 线程数\n \n assetfinder:\n enabled: true\n timeout: 3600\n\n # === Stage 2: 主动字典爆破（可选）===\n bruteforce:\n enabled: false\n subdomain_bruteforce:\n # timeout: auto # 自动根据字典行数计算\n wordlist-name: subdomains-top1million-110000.txt # 对应「字典管理」中的 Wordlist.name\n\n # === Stage 3: 变异生成 + 存活验证（可选）===\n permutation:\n enabled: true\n subdomain_permutation_resolve:\n timeout: 7200\n\n # === Stage 4: DNS 存活验证（可选）===\n resolve:\n enabled: true\n subdomain_resolve:\n timeout: auto # 自动根据候选子域数量计算\n\nport_scan:\n # ==================== 端口扫描 ====================\n tools:\n naabu_active:\n enabled: true\n # timeout: auto # 自动计算（目标数 × 端口数 × 0.5秒），范围 60秒 ~ 2天\n threads: 200 # 并发连接数（默认 5）\n # ports: 1-65535 # 扫描端口范围（默认 1-65535）\n top-ports: 100 # 扫描 nmap top 100 端口\n rate: 50 # 扫描速率\n \n naabu_passive:\n enabled: true\n # timeout: auto # 被动扫描通常较快\n\nsite_scan:\n # ==================== 站点扫描 ====================\n tools:\n httpx:\n enabled: true\n # timeout: auto # 自动计算（每个 URL 约 1 秒）\n # threads: 50 # 并发线程数（默认 50）\n # rate-limit: 150 # 每秒请求数（默认 150）\n # request-timeout: 10 # 单个请求超时秒数（默认 10）\n # retries: 2 # 请求失败重试次数\n\nfingerprint_detect:\n # ==================== 指纹识别 ====================\n # 在 站点扫描 后串行执行，识别 WebSite 的技术栈\n tools:\n xingfinger:\n enabled: true\n fingerprint-libs: [ehole, goby, wappalyzer, fingers, fingerprinthub, arl] # 默认启动全部指纹库\n\ndirectory_scan:\n # ==================== 目录扫描 ====================\n tools:\n ffuf:\n enabled: true\n # timeout: auto # 自动计算（字典行数 × 0.02秒），范围 60秒 ~ 2小时\n max-workers: 5 # 并发扫描站点数（默认 5）\n wordlist-name: dir_default.txt # 对应「字典管理」中的 Wordlist.name\n delay: 0.1-2.0 # 请求间隔，支持范围随机（如 \"0.1-2.0\"）\n threads: 10 # 并发线程数（默认 40）\n request-timeout: 10 # HTTP 请求超时秒数（默认 10）\n match-codes: 200,201,301,302,401,403 # 匹配的 HTTP 状态码\n # rate: 0 # 每秒请求数（默认 0 不限制）\n\nscreenshot:\n # ==================== 网站截图 ====================\n # 使用 Playwright 对网站进行截图，保存为 WebP 格式\n # 在 Stage 2 与 url_fetch、directory_scan 并行执行\n tools:\n playwright:\n enabled: true\n concurrency: 5 # 并发截图数（默认 5）\n url_sources: [websites] # URL 来源，当前对website截图，还可以用 [websites, endpoints]\n\nurl_fetch:\n # ==================== URL 获取 ====================\n tools:\n waymore:\n enabled: true\n timeout: 3600 # 固定 1 小时（按域名输入）\n \n katana:\n enabled: true\n # timeout: auto # 自动计算（根据站点数量）\n depth: 5 # 爬取最大深度（默认 3）\n threads: 10 # 全局并发数\n rate-limit: 30 # 每秒最多请求数\n random-delay: 1 # 请求间随机延迟秒数\n retry: 2 # 失败重试次数\n request-timeout: 12 # 单请求超时秒数\n \n uro:\n enabled: true\n # timeout: auto # 自动计算（每 100 个 URL 约 1 秒），范围 30 ~ 300 秒\n # whitelist: # 只保留指定扩展名\n # - php\n # - asp\n # blacklist: # 排除指定扩展名（静态资源）\n # - jpg\n # - png\n # - css\n # filters: # 额外过滤规则\n # - hasparams # 只保留有参数的 URL\n # - vuln # 只保留可能有漏洞的 URL\n \n httpx:\n enabled: true\n # timeout: auto # 自动计算（每个 URL 约 1 秒）\n # threads: 50 # 并发线程数（默认 50）\n # rate-limit: 150 # 每秒请求数（默认 150）\n # request-timeout: 10 # 单个请求超时秒数（默认 10）\n # retries: 2 # 请求失败重试次数\n\nvuln_scan:\n # ==================== 漏洞扫描 ====================\n tools:\n dalfox_xss:\n enabled: true\n # timeout: auto # 自动计算（endpoints 行数 × 100 秒）\n request-timeout: 10 # 单个请求超时秒数\n only-poc: r # 只输出 POC 结果（r: 反射型）\n ignore-return: \"302,404,403\" # 忽略的返回码\n delay: 50 # 请求间隔（毫秒）\n worker: 30 # worker 数量\n user-agent: \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36\"\n # blind-xss-server: xxx # 盲打 XSS 回连服务地址\n\n nuclei:\n enabled: true\n # timeout: auto # 自动计算（根据 endpoints 行数）\n template-repo-names: # 模板仓库列表，对应「Nuclei 模板」中的仓库名\n - nuclei-templates\n # - nuclei-custom # 可追加自定义仓库\n concurrency: 25 # 并发数（默认 25）\n rate-limit: 150 # 每秒请求数限制（默认 150）\n request-timeout: 5 # 单个请求超时秒数（默认 5）\n severity: medium,high,critical # 只扫描中高危\n # tags: cve,rce # 只使用指定标签的模板\n" }, { "path": "backend/apps/scan/flows/__init__.py", "content": "\"\"\"Prefect Flows（编排层）\n\n注意：大部分 Flow 已迁移到 scripts/ 目录作为普通脚本执行\n\"\"\"\n\nfrom .initiate_scan_flow import initiate_scan_flow\nfrom .subdomain_discovery_flow import subdomain_discovery_flow\nfrom .fingerprint_detect_flow import fingerprint_detect_flow\n\n__all__ = [\n 'initiate_scan_flow',\n 'subdomain_discovery_flow',\n 'fingerprint_detect_flow',\n]\n" }, { "path": "backend/apps/scan/flows/directory_scan_flow.py", "content": "\"\"\"\n目录扫描 Flow\n\n负责编排目录扫描的完整流程\n\n架构：\n- Flow 负责编排多个原子 Task\n- 支持并发执行扫描工具（使用 ThreadPoolTaskRunner）\n- 每个 Task 可独立重试\n- 配置由 YAML 解析\n\"\"\"\n\nimport hashlib\nimport logging\nimport subprocess\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import List, Tuple\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.tasks.directory_scan import (\n export_sites_task,\n run_and_stream_save_directories_task,\n)\nfrom apps.scan.utils import (\n build_scan_command,\n ensure_wordlist_local,\n user_log,\n wait_for_system_load,\n)\n\nlogger = logging.getLogger(__name__)\n\n# 默认最大并发数\nDEFAULT_MAX_WORKERS = 5\n\n\ndef calculate_directory_scan_timeout(\n tool_config: dict,\n base_per_word: float = 1.0,\n min_timeout: int = 60,\n) -> int:\n \"\"\"\n 根据字典行数计算目录扫描超时时间\n\n 计算公式：超时时间 = 字典行数 × 每个单词基础时间\n 超时范围：最小 60 秒，无上限\n\n Args:\n tool_config: 工具配置字典，包含 wordlist 路径\n base_per_word: 每个单词的基础时间（秒），默认 1.0秒\n min_timeout: 最小超时时间（秒），默认 60秒\n\n Returns:\n int: 计算出的超时时间（秒）\n \"\"\"\n import os\n\n wordlist_path = tool_config.get('wordlist')\n if not wordlist_path:\n logger.warning(\"工具配置中未指定 wordlist，使用默认超时: %d秒\", min_timeout)\n return min_timeout\n\n wordlist_path = os.path.expanduser(wordlist_path)\n\n if not os.path.exists(wordlist_path):\n logger.warning(\"字典文件不存在: %s，使用默认超时: %d秒\", wordlist_path, min_timeout)\n return min_timeout\n\n try:\n result = subprocess.run(\n ['wc', '-l', wordlist_path],\n capture_output=True,\n text=True,\n check=True\n )\n line_count = int(result.stdout.strip().split()[0])\n timeout = max(min_timeout, int(line_count * base_per_word))\n\n logger.info(\n \"目录扫描超时计算 - 字典: %s, 行数: %d, 基础时间: %.3f秒/词, 计算超时: %d秒\",\n wordlist_path, line_count, base_per_word, timeout\n )\n return timeout\n\n except (subprocess.CalledProcessError, ValueError, IndexError) as e:\n logger.error(\"计算超时时间失败: %s\", e)\n return min_timeout\n\n\ndef _get_max_workers(tool_config: dict, default: int = DEFAULT_MAX_WORKERS) -> int:\n \"\"\"从单个工具配置中获取 max_workers 参数\"\"\"\n if not isinstance(tool_config, dict):\n return default\n\n max_workers = tool_config.get('max_workers') or tool_config.get('max-workers')\n if isinstance(max_workers, int) and max_workers > 0:\n return max_workers\n return default\n\n\ndef _export_site_urls(\n target_id: int,\n directory_scan_dir: Path\n) -> Tuple[str, int]:\n \"\"\"\n 导出目标下的所有站点 URL 到文件\n\n Args:\n target_id: 目标 ID\n directory_scan_dir: 目录扫描目录\n\n Returns:\n tuple: (sites_file, site_count)\n \"\"\"\n logger.info(\"Step 1: 导出目标的所有站点 URL\")\n\n sites_file = str(directory_scan_dir / 'sites.txt')\n export_result = export_sites_task(\n target_id=target_id,\n output_file=sites_file,\n batch_size=1000\n )\n\n site_count = export_result['total_count']\n logger.info(\n \"✓ 站点 URL 导出完成 - 文件: %s, 数量: %d\",\n export_result['output_file'],\n site_count\n )\n\n if site_count == 0:\n logger.warning(\"目标下没有站点，无法执行目录扫描\")\n\n return export_result['output_file'], site_count\n\n\ndef _generate_log_filename(\n tool_name: str,\n site_url: str,\n directory_scan_dir: Path\n) -> Path:\n \"\"\"生成唯一的日志文件名（使用 URL 的 hash 确保并发时不会冲突）\"\"\"\n url_hash = hashlib.md5(\n site_url.encode(),\n usedforsecurity=False\n ).hexdigest()[:8]\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S_%f')\n return directory_scan_dir / f\"{tool_name}_{url_hash}_{timestamp}.log\"\n\n\ndef _prepare_tool_wordlist(tool_name: str, tool_config: dict) -> bool:\n \"\"\"准备工具的字典文件，返回是否成功\"\"\"\n wordlist_name = tool_config.get('wordlist_name')\n if not wordlist_name:\n return True\n\n try:\n local_wordlist_path = ensure_wordlist_local(wordlist_name)\n tool_config['wordlist'] = local_wordlist_path\n return True\n except Exception as exc:\n logger.error(\"为工具 %s 准备字典失败: %s\", tool_name, exc)\n return False\n\n\ndef _build_scan_params(\n tool_name: str,\n tool_config: dict,\n sites: List[str],\n directory_scan_dir: Path,\n site_timeout: int\n) -> Tuple[List[dict], List[str]]:\n \"\"\"构建所有站点的扫描参数，返回 (scan_params_list, failed_sites)\"\"\"\n scan_params_list = []\n failed_sites = []\n\n for idx, site_url in enumerate(sites, 1):\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type='directory_scan',\n command_params={'url': site_url},\n tool_config=tool_config\n )\n log_file = _generate_log_filename(tool_name, site_url, directory_scan_dir)\n scan_params_list.append({\n 'idx': idx,\n 'site_url': site_url,\n 'command': command,\n 'log_file': str(log_file),\n 'timeout': site_timeout\n })\n except Exception as e:\n logger.error(\n \"✗ [%d/%d] 构建 %s 命令失败: %s - 站点: %s\",\n idx, len(sites), tool_name, e, site_url\n )\n failed_sites.append(site_url)\n\n return scan_params_list, failed_sites\n\n\ndef _execute_batch(\n batch_params: List[dict],\n tool_name: str,\n scan_id: int,\n target_id: int,\n directory_scan_dir: Path,\n total_sites: int\n) -> Tuple[int, List[str]]:\n \"\"\"执行一批扫描任务，返回 (directories_found, failed_sites)\"\"\"\n directories_found = 0\n failed_sites = []\n\n # 提交任务\n futures = []\n for params in batch_params:\n future = run_and_stream_save_directories_task.submit(\n cmd=params['command'],\n tool_name=tool_name,\n scan_id=scan_id,\n target_id=target_id,\n site_url=params['site_url'],\n cwd=str(directory_scan_dir),\n shell=True,\n batch_size=1000,\n timeout=params['timeout'],\n log_file=params['log_file']\n )\n futures.append((params['idx'], params['site_url'], future))\n\n # 等待结果\n for idx, site_url, future in futures:\n try:\n result = future.result()\n dirs_count = result.get('created_directories', 0)\n directories_found += dirs_count\n logger.info(\n \"✓ [%d/%d] 站点扫描完成: %s - 发现 %d 个目录\",\n idx, total_sites, site_url, dirs_count\n )\n except Exception as exc:\n failed_sites.append(site_url)\n if 'timeout' in str(exc).lower():\n logger.warning(\n \"⚠️ [%d/%d] 站点扫描超时: %s - 错误: %s\",\n idx, total_sites, site_url, exc\n )\n else:\n logger.error(\n \"✗ [%d/%d] 站点扫描失败: %s - 错误: %s\",\n idx, total_sites, site_url, exc\n )\n\n return directories_found, failed_sites\n\n\ndef _run_scans_concurrently(\n enabled_tools: dict,\n sites_file: str,\n directory_scan_dir: Path,\n scan_id: int,\n target_id: int,\n) -> Tuple[int, int, List[str]]:\n \"\"\"\n 并发执行目录扫描任务\n\n Returns:\n tuple: (total_directories, processed_sites, failed_sites)\n \"\"\"\n # 读取站点列表\n sites: List[str] = []\n with open(sites_file, 'r', encoding='utf-8') as f:\n sites = [line.strip() for line in f if line.strip()]\n\n if not sites:\n logger.warning(\"站点列表为空\")\n return 0, 0, []\n\n logger.info(\n \"准备并发扫描 %d 个站点，使用工具: %s\",\n len(sites), ', '.join(enabled_tools.keys())\n )\n\n total_directories = 0\n processed_sites_count = 0\n failed_sites: List[str] = []\n\n for tool_name, tool_config in enabled_tools.items():\n max_workers = _get_max_workers(tool_config)\n\n logger.info(\"=\" * 60)\n logger.info(\"使用工具: %s (并发模式, max_workers=%d)\", tool_name, max_workers)\n logger.info(\"=\" * 60)\n user_log(scan_id, \"directory_scan\", f\"Running {tool_name}\")\n\n # 准备字典文件\n if not _prepare_tool_wordlist(tool_name, tool_config):\n failed_sites.extend(sites)\n continue\n\n # 计算超时时间\n site_timeout = tool_config.get('timeout', 300)\n if site_timeout == 'auto':\n site_timeout = calculate_directory_scan_timeout(tool_config)\n logger.info(\"✓ 工具 %s 动态计算 timeout: %d秒\", tool_name, site_timeout)\n\n # 构建扫描参数\n scan_params_list, build_failed = _build_scan_params(\n tool_name, tool_config, sites, directory_scan_dir, site_timeout\n )\n failed_sites.extend(build_failed)\n\n if not scan_params_list:\n logger.warning(\"没有有效的扫描任务\")\n continue\n\n # 分批执行\n total_tasks = len(scan_params_list)\n logger.info(\"开始分批执行 %d 个扫描任务（每批 %d 个）...\", total_tasks, max_workers)\n\n last_progress_percent = 0\n tool_directories = 0\n tool_processed = 0\n\n for batch_start in range(0, total_tasks, max_workers):\n batch_end = min(batch_start + max_workers, total_tasks)\n batch_params = scan_params_list[batch_start:batch_end]\n batch_num = batch_start // max_workers + 1\n\n logger.info(\n \"执行第 %d 批任务（%d-%d/%d）...\",\n batch_num, batch_start + 1, batch_end, total_tasks\n )\n\n dirs_found, batch_failed = _execute_batch(\n batch_params, tool_name, scan_id, target_id,\n directory_scan_dir, len(sites)\n )\n\n total_directories += dirs_found\n tool_directories += dirs_found\n tool_processed += len(batch_params) - len(batch_failed)\n processed_sites_count += len(batch_params) - len(batch_failed)\n failed_sites.extend(batch_failed)\n\n # 进度里程碑：每 20% 输出一次\n current_progress = int((batch_end / total_tasks) * 100)\n if current_progress >= last_progress_percent + 20:\n user_log(\n scan_id, \"directory_scan\",\n f\"Progress: {batch_end}/{total_tasks} sites scanned\"\n )\n last_progress_percent = (current_progress // 20) * 20\n\n logger.info(\n \"✓ 工具 %s 执行完成 - 已处理站点: %d/%d, 发现目录: %d\",\n tool_name, tool_processed, total_tasks, tool_directories\n )\n user_log(\n scan_id, \"directory_scan\",\n f\"{tool_name} completed: found {tool_directories} directories\"\n )\n\n if failed_sites:\n logger.warning(\"部分站点扫描失败: %d/%d\", len(failed_sites), len(sites))\n\n logger.info(\n \"✓ 并发目录扫描执行完成 - 成功: %d/%d, 失败: %d, 总目录数: %d\",\n processed_sites_count, len(sites), len(failed_sites), total_directories\n )\n\n return total_directories, processed_sites_count, failed_sites\n\n\n@flow(\n name=\"directory_scan\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef directory_scan_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"\n 目录扫描 Flow\n\n 主要功能：\n 1. 从 target 获取所有站点的 URL\n 2. 对每个站点 URL 执行目录扫描（支持 ffuf 等工具）\n 3. 流式保存扫描结果到数据库 Directory 表\n\n Args:\n scan_id: 扫描任务 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: 扫描工作空间目录\n enabled_tools: 启用的工具配置字典\n\n Returns:\n dict: 扫描结果\n \"\"\"\n try:\n wait_for_system_load(context=\"directory_scan_flow\")\n\n logger.info(\n \"开始目录扫描 - Scan ID: %s, Target: %s, Workspace: %s\",\n scan_id, target_name, scan_workspace_dir\n )\n user_log(scan_id, \"directory_scan\", \"Starting directory scan\")\n\n # 参数验证\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if not target_name:\n raise ValueError(\"target_name 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n if not enabled_tools:\n raise ValueError(\"enabled_tools 不能为空\")\n\n # Step 0: 创建工作目录\n from apps.scan.utils import setup_scan_directory\n directory_scan_dir = setup_scan_directory(scan_workspace_dir, 'directory_scan')\n\n # Step 1: 导出站点 URL\n sites_file, site_count = _export_site_urls(target_id, directory_scan_dir)\n\n if site_count == 0:\n logger.warning(\"跳过目录扫描：没有站点可扫描 - Scan ID: %s\", scan_id)\n user_log(scan_id, \"directory_scan\", \"Skipped: no sites to scan\", \"warning\")\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'sites_file': sites_file,\n 'site_count': 0,\n 'total_directories': 0,\n 'processed_sites': 0,\n 'failed_sites_count': 0,\n 'executed_tasks': ['export_sites']\n }\n\n # Step 2: 工具配置信息\n logger.info(\"Step 2: 工具配置信息\")\n tool_info = [\n f\"{name}(max_workers={_get_max_workers(cfg)})\"\n for name, cfg in enabled_tools.items()\n ]\n logger.info(\"✓ 启用工具: %s\", ', '.join(tool_info))\n\n # Step 3: 并发执行扫描\n logger.info(\"Step 3: 并发执行扫描工具并实时保存结果\")\n total_directories, processed_sites, failed_sites = _run_scans_concurrently(\n enabled_tools=enabled_tools,\n sites_file=sites_file,\n directory_scan_dir=directory_scan_dir,\n scan_id=scan_id,\n target_id=target_id,\n )\n\n if processed_sites == 0 and site_count > 0:\n logger.warning(\n \"所有站点扫描均失败 - 总站点数: %d, 失败数: %d\",\n site_count, len(failed_sites)\n )\n\n logger.info(\"✓ 目录扫描完成 - 发现目录: %d\", total_directories)\n user_log(\n scan_id, \"directory_scan\",\n f\"directory_scan completed: found {total_directories} directories\"\n )\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'sites_file': sites_file,\n 'site_count': site_count,\n 'total_directories': total_directories,\n 'processed_sites': processed_sites,\n 'failed_sites_count': len(failed_sites),\n 'executed_tasks': ['export_sites', 'run_and_stream_save_directories']\n }\n\n except Exception as e:\n logger.exception(\"目录扫描失败: %s\", e)\n raise\n" }, { "path": "backend/apps/scan/flows/fingerprint_detect_flow.py", "content": "\"\"\"\n指纹识别 Flow\n\n负责编排指纹识别的完整流程\n\n架构：\n- Flow 负责编排多个原子 Task\n- 在 site_scan 后串行执行\n- 使用 xingfinger 工具识别技术栈\n- 流式处理输出，批量更新数据库\n\"\"\"\n\nimport logging\nfrom datetime import datetime\nfrom pathlib import Path\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.tasks.fingerprint_detect import (\n export_urls_for_fingerprint_task,\n run_xingfinger_and_stream_update_tech_task,\n)\nfrom apps.scan.utils import build_scan_command, user_log, wait_for_system_load\nfrom apps.scan.utils.fingerprint_helpers import get_fingerprint_paths\n\nlogger = logging.getLogger(__name__)\n\n\ndef calculate_fingerprint_detect_timeout(\n url_count: int,\n base_per_url: float = 10.0,\n min_timeout: int = 300\n) -> int:\n \"\"\"\n 根据 URL 数量计算超时时间\n\n 公式：超时时间 = URL 数量 × 每 URL 基础时间\n 最小值：300秒，无上限\n\n Args:\n url_count: URL 数量\n base_per_url: 每 URL 基础时间（秒），默认 10秒\n min_timeout: 最小超时时间（秒），默认 300秒\n\n Returns:\n int: 计算出的超时时间（秒）\n \"\"\"\n return max(min_timeout, int(url_count * base_per_url))\n\n\n\n\n\ndef _export_urls(\n target_id: int,\n fingerprint_dir: Path,\n source: str = 'website'\n) -> tuple[str, int]:\n \"\"\"\n 导出 URL 到文件\n\n Args:\n target_id: 目标 ID\n fingerprint_dir: 指纹识别目录\n source: 数据源类型\n\n Returns:\n tuple: (urls_file, total_count)\n \"\"\"\n logger.info(\"Step 1: 导出 URL 列表 (source=%s)\", source)\n\n urls_file = str(fingerprint_dir / 'urls.txt')\n export_result = export_urls_for_fingerprint_task(\n target_id=target_id,\n output_file=urls_file,\n source=source,\n batch_size=1000\n )\n\n total_count = export_result['total_count']\n logger.info(\n \"✓ URL 导出完成 - 文件: %s, 数量: %d\",\n export_result['output_file'],\n total_count\n )\n\n return export_result['output_file'], total_count\n\n\ndef _run_fingerprint_detect(\n enabled_tools: dict,\n urls_file: str,\n url_count: int,\n fingerprint_dir: Path,\n scan_id: int,\n target_id: int,\n source: str\n) -> tuple[dict, list]:\n \"\"\"\n 执行指纹识别任务\n\n Args:\n enabled_tools: 已启用的工具配置字典\n urls_file: URL 文件路径\n url_count: URL 总数\n fingerprint_dir: 指纹识别目录\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n source: 数据源类型\n\n Returns:\n tuple: (tool_stats, failed_tools)\n \"\"\"\n tool_stats = {}\n failed_tools = []\n\n for tool_name, tool_config in enabled_tools.items():\n # 1. 获取指纹库路径\n lib_names = tool_config.get('fingerprint_libs', ['ehole'])\n fingerprint_paths = get_fingerprint_paths(lib_names)\n\n if not fingerprint_paths:\n reason = f\"没有可用的指纹库: {lib_names}\"\n logger.warning(reason)\n failed_tools.append({'tool': tool_name, 'reason': reason})\n continue\n\n # 2. 将指纹库路径合并到 tool_config（用于命令构建）\n tool_config_with_paths = {**tool_config, **fingerprint_paths}\n\n # 3. 构建命令\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type='fingerprint_detect',\n command_params={'urls_file': urls_file},\n tool_config=tool_config_with_paths\n )\n except Exception as e:\n reason = f\"命令构建失败: {e}\"\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n failed_tools.append({'tool': tool_name, 'reason': reason})\n continue\n\n # 4. 计算超时时间\n timeout = calculate_fingerprint_detect_timeout(url_count)\n\n # 5. 生成日志文件路径\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n log_file = fingerprint_dir / f\"{tool_name}_{timestamp}.log\"\n\n logger.info(\n \"开始执行 %s 指纹识别 - URL数: %d, 超时: %ds, 指纹库: %s\",\n tool_name, url_count, timeout, list(fingerprint_paths.keys())\n )\n user_log(scan_id, \"fingerprint_detect\", f\"Running {tool_name}: {command}\")\n\n # 6. 执行扫描任务\n try:\n result = run_xingfinger_and_stream_update_tech_task(\n cmd=command,\n tool_name=tool_name,\n scan_id=scan_id,\n target_id=target_id,\n source=source,\n cwd=str(fingerprint_dir),\n timeout=timeout,\n log_file=str(log_file),\n batch_size=100\n )\n\n tool_stats[tool_name] = {\n 'command': command,\n 'result': result,\n 'timeout': timeout,\n 'fingerprint_libs': list(fingerprint_paths.keys())\n }\n\n tool_updated = result.get('updated_count', 0)\n logger.info(\n \"✓ 工具 %s 执行完成 - 处理记录: %d, 更新: %d, 未找到: %d\",\n tool_name,\n result.get('processed_records', 0),\n tool_updated,\n result.get('not_found_count', 0)\n )\n user_log(\n scan_id, \"fingerprint_detect\",\n f\"{tool_name} completed: identified {tool_updated} fingerprints\"\n )\n\n except Exception as exc:\n reason = str(exc)\n failed_tools.append({'tool': tool_name, 'reason': reason})\n logger.error(\"工具 %s 执行失败: %s\", tool_name, exc, exc_info=True)\n user_log(scan_id, \"fingerprint_detect\", f\"{tool_name} failed: {reason}\", \"error\")\n\n if failed_tools:\n logger.warning(\n \"以下指纹识别工具执行失败: %s\",\n ', '.join([f['tool'] for f in failed_tools])\n )\n\n return tool_stats, failed_tools\n\n\n@flow(\n name=\"fingerprint_detect\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef fingerprint_detect_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"\n 指纹识别 Flow\n\n 主要功能：\n 1. 从数据库导出目标下所有 WebSite URL 到文件\n 2. 使用 xingfinger 进行技术栈识别\n 3. 解析结果并更新 WebSite.tech 字段（合并去重）\n\n 工作流程：\n Step 0: 创建工作目录\n Step 1: 导出 URL 列表\n Step 2: 解析配置，获取启用的工具\n Step 3: 执行 xingfinger 并解析结果\n\n Args:\n scan_id: 扫描任务 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: 扫描工作空间目录\n enabled_tools: 启用的工具配置（xingfinger）\n\n Returns:\n dict: 扫描结果\n \"\"\"\n try:\n # 负载检查：等待系统资源充足\n wait_for_system_load(context=\"fingerprint_detect_flow\")\n\n logger.info(\n \"开始指纹识别 - Scan ID: %s, Target: %s, Workspace: %s\",\n scan_id, target_name, scan_workspace_dir\n )\n user_log(scan_id, \"fingerprint_detect\", \"Starting fingerprint detection\")\n\n # 参数验证\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if not target_name:\n raise ValueError(\"target_name 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n\n # 数据源类型（当前只支持 website）\n source = 'website'\n\n # Step 0: 创建工作目录\n from apps.scan.utils import setup_scan_directory\n fingerprint_dir = setup_scan_directory(scan_workspace_dir, 'fingerprint_detect')\n\n # Step 1: 导出 URL（支持懒加载）\n urls_file, url_count = _export_urls(target_id, fingerprint_dir, source)\n\n if url_count == 0:\n logger.warning(\"跳过指纹识别：没有 URL 可扫描 - Scan ID: %s\", scan_id)\n user_log(scan_id, \"fingerprint_detect\", \"Skipped: no URLs to scan\", \"warning\")\n return _build_empty_result(scan_id, target_name, scan_workspace_dir, urls_file)\n\n # Step 2: 工具配置信息\n logger.info(\"Step 2: 工具配置信息\")\n logger.info(\"✓ 启用工具: %s\", ', '.join(enabled_tools.keys()))\n\n # Step 3: 执行指纹识别\n logger.info(\"Step 3: 执行指纹识别\")\n tool_stats, failed_tools = _run_fingerprint_detect(\n enabled_tools=enabled_tools,\n urls_file=urls_file,\n url_count=url_count,\n fingerprint_dir=fingerprint_dir,\n scan_id=scan_id,\n target_id=target_id,\n source=source\n )\n\n # 动态生成已执行的任务列表\n executed_tasks = ['export_urls_for_fingerprint']\n executed_tasks.extend([f'run_xingfinger ({tool})' for tool in tool_stats])\n\n # 汇总所有工具的结果\n total_processed = sum(\n stats['result'].get('processed_records', 0) for stats in tool_stats.values()\n )\n total_updated = sum(\n stats['result'].get('updated_count', 0) for stats in tool_stats.values()\n )\n total_created = sum(\n stats['result'].get('created_count', 0) for stats in tool_stats.values()\n )\n total_snapshots = sum(\n stats['result'].get('snapshot_count', 0) for stats in tool_stats.values()\n )\n\n # 记录 Flow 完成\n logger.info(\"✓ 指纹识别完成 - 识别指纹: %d\", total_updated)\n user_log(\n scan_id, \"fingerprint_detect\",\n f\"fingerprint_detect completed: identified {total_updated} fingerprints\"\n )\n\n successful_tools = [\n name for name in enabled_tools\n if name not in [f['tool'] for f in failed_tools]\n ]\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'urls_file': urls_file,\n 'url_count': url_count,\n 'processed_records': total_processed,\n 'updated_count': total_updated,\n 'created_count': total_created,\n 'snapshot_count': total_snapshots,\n 'executed_tasks': executed_tasks,\n 'tool_stats': {\n 'total': len(enabled_tools),\n 'successful': len(successful_tools),\n 'failed': len(failed_tools),\n 'successful_tools': successful_tools,\n 'failed_tools': failed_tools,\n 'details': tool_stats\n }\n }\n\n except ValueError as e:\n logger.error(\"配置错误: %s\", e)\n raise\n except RuntimeError as e:\n logger.error(\"运行时错误: %s\", e)\n raise\n except Exception as e:\n logger.exception(\"指纹识别失败: %s\", e)\n raise\n\n\ndef _build_empty_result(\n scan_id: int,\n target_name: str,\n scan_workspace_dir: str,\n urls_file: str\n) -> dict:\n \"\"\"构建空结果（无 URL 可扫描时）\"\"\"\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'urls_file': urls_file,\n 'url_count': 0,\n 'processed_records': 0,\n 'updated_count': 0,\n 'created_count': 0,\n 'snapshot_count': 0,\n 'executed_tasks': ['export_urls_for_fingerprint'],\n 'tool_stats': {\n 'total': 0,\n 'successful': 0,\n 'failed': 0,\n 'successful_tools': [],\n 'failed_tools': [],\n 'details': {}\n }\n }\n" }, { "path": "backend/apps/scan/flows/initiate_scan_flow.py", "content": "\"\"\"\n扫描初始化 Flow\n\n负责编排扫描任务的初始化流程\n\n职责：\n- 使用 FlowOrchestrator 解析 YAML 配置\n- 在 Prefect Flow 中执行子 Flow（Subflow）\n- 按照 YAML 顺序编排工作流\n- 不包含具体业务逻辑（由 Tasks 和 FlowOrchestrator 实现）\n\n架构：\n- Flow: Prefect 编排层（本文件）\n- FlowOrchestrator: 配置解析和执行计划（apps/scan/services/）\n- Tasks: 执行层（apps/scan/tasks/）\n- Handlers: 状态管理（apps/scan/handlers/）\n\"\"\"\n\n# Django 环境初始化（导入即生效）\n# 注意：动态扫描容器应使用 run_initiate_scan.py 启动，以便在导入前设置环境变量\nfrom apps.common.prefect_django_setup import setup_django_for_prefect\n\nfrom prefect import flow, task\nfrom pathlib import Path\nimport logging\n\nfrom apps.scan.handlers import (\n on_initiate_scan_flow_running,\n on_initiate_scan_flow_completed,\n on_initiate_scan_flow_failed,\n)\nfrom prefect.futures import wait\nfrom apps.scan.utils import setup_scan_workspace\nfrom apps.scan.orchestrators import FlowOrchestrator\n\nlogger = logging.getLogger(__name__)\n\n\n@task(name=\"run_subflow\")\ndef _run_subflow_task(scan_type: str, flow_func, flow_kwargs: dict):\n \"\"\"包装子 Flow 的 Task，用于在并行阶段并发执行子 Flow。\"\"\"\n logger.info(\"开始执行子 Flow: %s\", scan_type)\n return flow_func(**flow_kwargs)\n\n\n@flow(\n name='initiate_scan',\n description='扫描任务初始化流程',\n log_prints=True,\n on_running=[on_initiate_scan_flow_running],\n on_completion=[on_initiate_scan_flow_completed],\n on_failure=[on_initiate_scan_flow_failed],\n)\ndef initiate_scan_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n engine_name: str,\n scheduled_scan_name: str | None = None,\n) -> dict:\n \"\"\"\n 初始化扫描任务（动态工作流编排）\n \n 根据 YAML 配置动态编排工作流：\n - 从数据库获取 engine_config (YAML)\n - 检测启用的扫描类型\n - 按照定义的阶段执行：\n Stage 1: Discovery (顺序执行)\n - subdomain_discovery\n - port_scan\n - site_scan\n Stage 2: Analysis (并行执行)\n - url_fetch\n - directory_scan\n \n Args:\n scan_id: 扫描任务 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: Scan 工作空间目录路径\n engine_name: 引擎名称（用于显示）\n scheduled_scan_name: 定时扫描任务名称（可选，用于通知显示）\n \n Returns:\n dict: 执行结果摘要\n \n Raises:\n ValueError: 参数验证失败或配置无效\n RuntimeError: 执行失败\n \"\"\"\n try:\n # ==================== 参数验证 ====================\n if not scan_id:\n raise ValueError(\"scan_id is required\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir is required\")\n if not engine_name:\n raise ValueError(\"engine_name is required\")\n \n \n logger.info(\"=\"*60)\n logger.info(\"开始初始化扫描任务\")\n logger.info(f\"Scan ID: {scan_id}\")\n logger.info(f\"Target: {target_name}\")\n logger.info(f\"Engine: {engine_name}\")\n logger.info(f\"Workspace: {scan_workspace_dir}\")\n logger.info(\"=\"*60)\n \n # ==================== Task 1: 创建 Scan 工作空间 ====================\n scan_workspace_path = setup_scan_workspace(scan_workspace_dir)\n \n # ==================== Task 2: 获取引擎配置 ====================\n from apps.scan.models import Scan\n scan = Scan.objects.get(id=scan_id)\n engine_config = scan.yaml_configuration\n \n # 使用 engine_names 进行显示\n display_engine_name = ', '.join(scan.engine_names) if scan.engine_names else engine_name\n \n # ==================== Task 3: 解析配置，生成执行计划 ====================\n orchestrator = FlowOrchestrator(engine_config)\n \n # FlowOrchestrator 已经解析了所有工具配置\n enabled_tools_by_type = orchestrator.enabled_tools_by_type\n \n logger.info(\"执行计划生成成功\")\n logger.info(f\"扫描类型: {' → '.join(orchestrator.scan_types)}\")\n logger.info(f\"总共 {len(orchestrator.scan_types)} 个 Flow\")\n \n # ==================== 初始化阶段进度 ====================\n # 在解析完配置后立即初始化，此时已有完整的 scan_types 列表\n from apps.scan.services import ScanService\n scan_service = ScanService()\n scan_service.init_stage_progress(scan_id, orchestrator.scan_types)\n logger.info(f\"✓ 初始化阶段进度 - Stages: {orchestrator.scan_types}\")\n \n # ==================== 更新 Target 最后扫描时间 ====================\n # 在开始扫描时更新，表示\"最后一次扫描开始时间\"\n from apps.targets.services import TargetService\n target_service = TargetService()\n target_service.update_last_scanned_at(target_id)\n logger.info(f\"✓ 更新 Target 最后扫描时间 - Target ID: {target_id}\")\n \n # ==================== Task 3: 执行 Flow（动态阶段执行）====================\n # 注意：各阶段状态更新由 scan_flow_handlers.py 自动处理（running/completed/failed）\n executed_flows = []\n results = {}\n \n # 通用执行参数\n flow_kwargs = {\n 'scan_id': scan_id,\n 'target_name': target_name,\n 'target_id': target_id,\n 'scan_workspace_dir': str(scan_workspace_path)\n }\n\n def record_flow_result(scan_type, result=None, error=None):\n \"\"\"\n 统一的结果记录函数\n \n Args:\n scan_type: 扫描类型名称\n result: 执行结果（成功时）\n error: 异常对象（失败时）\n \"\"\"\n if error:\n # 失败处理：记录错误但不抛出异常，让扫描继续执行后续阶段\n error_msg = f\"{scan_type} 执行失败: {str(error)}\"\n logger.warning(error_msg)\n executed_flows.append(f\"{scan_type} (失败)\")\n results[scan_type] = {'success': False, 'error': str(error)}\n # 不再抛出异常，让扫描继续\n else:\n # 成功处理\n executed_flows.append(scan_type)\n results[scan_type] = result\n logger.info(f\"✓ {scan_type} 执行成功\")\n\n def get_valid_flows(flow_names):\n \"\"\"\n 获取有效的 Flow 函数列表，并为每个 Flow 准备专属参数\n \n Args:\n flow_names: 扫描类型名称列表\n \n Returns:\n list: [(scan_type, flow_func, flow_specific_kwargs), ...] 有效的函数列表\n \"\"\"\n valid_flows = []\n for scan_type in flow_names:\n flow_func = orchestrator.get_flow_function(scan_type)\n if flow_func:\n # 为每个 Flow 准备专属的参数（包含对应的 enabled_tools）\n flow_specific_kwargs = dict(flow_kwargs)\n flow_specific_kwargs['enabled_tools'] = enabled_tools_by_type.get(scan_type, {})\n valid_flows.append((scan_type, flow_func, flow_specific_kwargs))\n else:\n logger.warning(f\"跳过未实现的 Flow: {scan_type}\")\n return valid_flows\n\n # ---------------------------------------------------------\n # 动态阶段执行（基于 FlowOrchestrator 定义）\n # ---------------------------------------------------------\n for mode, enabled_flows in orchestrator.get_execution_stages():\n if mode == 'sequential':\n # 顺序执行\n logger.info(\"=\"*60)\n logger.info(f\"顺序执行阶段: {', '.join(enabled_flows)}\")\n logger.info(\"=\"*60)\n for scan_type, flow_func, flow_specific_kwargs in get_valid_flows(enabled_flows):\n logger.info(\"=\"*60)\n logger.info(f\"执行 Flow: {scan_type}\")\n logger.info(\"=\"*60)\n try:\n result = flow_func(**flow_specific_kwargs)\n record_flow_result(scan_type, result=result)\n except Exception as e:\n record_flow_result(scan_type, error=e)\n \n elif mode == 'parallel':\n # 并行执行阶段：通过 Task 包装子 Flow，并使用 Prefect TaskRunner 并发运行\n logger.info(\"=\"*60)\n logger.info(f\"并行执行阶段: {', '.join(enabled_flows)}\")\n logger.info(\"=\"*60)\n futures = []\n\n # 提交所有并行子 Flow 任务\n for scan_type, flow_func, flow_specific_kwargs in get_valid_flows(enabled_flows):\n logger.info(\"=\"*60)\n logger.info(f\"提交并行子 Flow 任务: {scan_type}\")\n logger.info(\"=\"*60)\n future = _run_subflow_task.submit(\n scan_type=scan_type,\n flow_func=flow_func,\n flow_kwargs=flow_specific_kwargs,\n )\n futures.append((scan_type, future))\n\n # 等待所有并行子 Flow 完成\n if futures:\n wait([f for _, f in futures])\n\n # 检查结果（复用统一的结果处理逻辑）\n for scan_type, future in futures:\n try:\n result = future.result()\n record_flow_result(scan_type, result=result)\n except Exception as e:\n record_flow_result(scan_type, error=e)\n\n # ==================== 完成 ====================\n logger.info(\"=\"*60)\n logger.info(\"✓ 扫描任务初始化完成\")\n logger.info(f\"执行的 Flow: {', '.join(executed_flows)}\")\n logger.info(\"=\"*60)\n \n # ==================== 返回结果 ====================\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': str(scan_workspace_path),\n 'executed_flows': executed_flows,\n 'results': results\n }\n \n except ValueError as e:\n # 参数错误\n logger.error(\"参数错误: %s\", e)\n raise\n except RuntimeError as e:\n # 执行失败\n logger.error(\"运行时错误: %s\", e)\n raise\n except OSError as e:\n # 文件系统错误（工作空间创建失败）\n logger.error(\"文件系统错误: %s\", e)\n raise\n except Exception as e:\n # 其他未预期错误\n logger.exception(\"初始化扫描任务失败: %s\", e)\n # 注意：失败状态更新由 Prefect State Handlers 自动处理\n raise\n" }, { "path": "backend/apps/scan/flows/port_scan_flow.py", "content": "\"\"\"\n端口扫描 Flow\n\n负责编排端口扫描的完整流程\n\n架构：\n- Flow 负责编排多个原子 Task\n- 支持串行执行扫描工具（流式处理）\n- 每个 Task 可独立重试\n- 配置由 YAML 解析\n\"\"\"\n\nimport logging\nimport subprocess\nfrom datetime import datetime\nfrom pathlib import Path\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.tasks.port_scan import (\n export_hosts_task,\n run_and_stream_save_ports_task,\n)\nfrom apps.scan.utils import build_scan_command, user_log, wait_for_system_load\n\nlogger = logging.getLogger(__name__)\n\n\ndef calculate_port_scan_timeout(\n tool_config: dict,\n file_path: str,\n base_per_pair: float = 0.5\n) -> int:\n \"\"\"\n 根据目标数量和端口数量计算超时时间\n\n 计算公式：超时时间 = 目标数 × 端口数 × base_per_pair\n 超时范围：60秒 ~ 无上限\n\n Args:\n tool_config: 工具配置字典，包含端口配置（ports, top-ports等）\n file_path: 目标文件路径（域名/IP列表）\n base_per_pair: 每个\"端口-目标对\"的基础时间（秒），默认 0.5秒\n\n Returns:\n int: 计算出的超时时间（秒），最小 60 秒\n \"\"\"\n try:\n result = subprocess.run(\n ['wc', '-l', file_path],\n capture_output=True,\n text=True,\n check=True\n )\n target_count = int(result.stdout.strip().split()[0])\n port_count = _parse_port_count(tool_config)\n total_work = target_count * port_count\n timeout = max(60, int(total_work * base_per_pair))\n\n logger.info(\n \"计算端口扫描 timeout - 目标数: %d, 端口数: %d, 总工作量: %d, 超时: %d秒\",\n target_count, port_count, total_work, timeout\n )\n return timeout\n\n except Exception as e:\n logger.warning(\"计算 timeout 失败: %s，使用默认值 600秒\", e)\n return 600\n\n\ndef _parse_port_count(tool_config: dict) -> int:\n \"\"\"\n 从工具配置中解析端口数量\n\n 优先级：\n 1. top-ports: N → 返回 N\n 2. ports: \"80,443,8080\" → 返回逗号分隔的数量\n 3. ports: \"1-1000\" → 返回范围的大小\n 4. ports: \"1-65535\" → 返回 65535\n 5. 默认 → 返回 100（naabu 默认扫描 top 100）\n\n Args:\n tool_config: 工具配置字典\n\n Returns:\n int: 端口数量\n \"\"\"\n # 检查 top-ports 配置\n if 'top-ports' in tool_config:\n top_ports = tool_config['top-ports']\n if isinstance(top_ports, int) and top_ports > 0:\n return top_ports\n logger.warning(\"top-ports 配置无效: %s，使用默认值\", top_ports)\n\n # 检查 ports 配置\n if 'ports' in tool_config:\n ports_str = str(tool_config['ports']).strip()\n\n # 逗号分隔的端口列表：80,443,8080\n if ',' in ports_str:\n return len([p.strip() for p in ports_str.split(',') if p.strip()])\n\n # 端口范围：1-1000\n if '-' in ports_str:\n try:\n start, end = ports_str.split('-', 1)\n start_port = int(start.strip())\n end_port = int(end.strip())\n if 1 <= start_port <= end_port <= 65535:\n return end_port - start_port + 1\n logger.warning(\"端口范围无效: %s，使用默认值\", ports_str)\n except ValueError:\n logger.warning(\"端口范围解析失败: %s，使用默认值\", ports_str)\n\n # 单个端口\n try:\n port = int(ports_str)\n if 1 <= port <= 65535:\n return 1\n except ValueError:\n logger.warning(\"端口配置解析失败: %s，使用默认值\", ports_str)\n\n # 默认值：naabu 默认扫描 top 100 端口\n return 100\n\n\n\n\n\ndef _export_hosts(target_id: int, port_scan_dir: Path) -> tuple[str, int, str]:\n \"\"\"\n 导出主机列表到文件\n\n 根据 Target 类型自动决定导出内容：\n - DOMAIN: 从 Subdomain 表导出子域名\n - IP: 直接写入 target.name\n - CIDR: 展开 CIDR 范围内的所有 IP\n\n Args:\n target_id: 目标 ID\n port_scan_dir: 端口扫描目录\n\n Returns:\n tuple: (hosts_file, host_count, target_type)\n \"\"\"\n logger.info(\"Step 1: 导出主机列表\")\n\n hosts_file = str(port_scan_dir / 'hosts.txt')\n export_result = export_hosts_task(\n target_id=target_id,\n output_file=hosts_file,\n )\n\n host_count = export_result['total_count']\n target_type = export_result.get('target_type', 'unknown')\n\n logger.info(\n \"✓ 主机列表导出完成 - 类型: %s, 文件: %s, 数量: %d\",\n target_type, export_result['output_file'], host_count\n )\n\n if host_count == 0:\n logger.warning(\"目标下没有可扫描的主机，无法执行端口扫描\")\n\n return export_result['output_file'], host_count, target_type\n\n\ndef _run_scans_sequentially(\n enabled_tools: dict,\n domains_file: str,\n port_scan_dir: Path,\n scan_id: int,\n target_id: int,\n target_name: str\n) -> tuple[dict, int, list, list]:\n \"\"\"\n 串行执行端口扫描任务\n\n Args:\n enabled_tools: 已启用的工具配置字典\n domains_file: 域名文件路径\n port_scan_dir: 端口扫描目录\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n target_name: 目标名称（用于错误日志）\n\n Returns:\n tuple: (tool_stats, processed_records, successful_tool_names, failed_tools)\n \"\"\"\n tool_stats = {}\n processed_records = 0\n failed_tools = []\n\n for tool_name, tool_config in enabled_tools.items():\n # 构建命令\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type='port_scan',\n command_params={'domains_file': domains_file},\n tool_config=tool_config\n )\n except Exception as e:\n reason = f\"命令构建失败: {e}\"\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n failed_tools.append({'tool': tool_name, 'reason': reason})\n continue\n\n # 获取超时时间\n config_timeout = tool_config['timeout']\n if config_timeout == 'auto':\n config_timeout = calculate_port_scan_timeout(tool_config, str(domains_file))\n logger.info(\"✓ 工具 %s 动态计算 timeout: %d秒\", tool_name, config_timeout)\n\n # 生成日志文件路径\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n log_file = port_scan_dir / f\"{tool_name}_{timestamp}.log\"\n\n logger.info(\"开始执行 %s 扫描（超时: %d秒）...\", tool_name, config_timeout)\n user_log(scan_id, \"port_scan\", f\"Running {tool_name}: {command}\")\n\n # 执行扫描任务\n try:\n result = run_and_stream_save_ports_task(\n cmd=command,\n tool_name=tool_name,\n scan_id=scan_id,\n target_id=target_id,\n cwd=str(port_scan_dir),\n shell=True,\n batch_size=1000,\n timeout=config_timeout,\n log_file=str(log_file)\n )\n\n tool_stats[tool_name] = {\n 'command': command,\n 'result': result,\n 'timeout': config_timeout\n }\n tool_records = result.get('processed_records', 0)\n processed_records += tool_records\n logger.info(\"✓ 工具 %s 流式处理完成 - 记录数: %d\", tool_name, tool_records)\n user_log(scan_id, \"port_scan\", f\"{tool_name} completed: found {tool_records} ports\")\n\n except subprocess.TimeoutExpired:\n reason = f\"timeout after {config_timeout}s\"\n failed_tools.append({'tool': tool_name, 'reason': reason})\n logger.warning(\n \"⚠️ 工具 %s 执行超时 - 超时配置: %d秒\\n\"\n \"注意：超时前已解析的端口数据已保存到数据库，但扫描未完全完成。\",\n tool_name, config_timeout\n )\n user_log(scan_id, \"port_scan\", f\"{tool_name} failed: {reason}\", \"error\")\n except Exception as exc:\n reason = str(exc)\n failed_tools.append({'tool': tool_name, 'reason': reason})\n logger.error(\"工具 %s 执行失败: %s\", tool_name, exc, exc_info=True)\n user_log(scan_id, \"port_scan\", f\"{tool_name} failed: {reason}\", \"error\")\n\n if failed_tools:\n logger.warning(\n \"以下扫描工具执行失败: %s\",\n ', '.join([f['tool'] for f in failed_tools])\n )\n\n if not tool_stats:\n error_details = \"; \".join([f\"{f['tool']}: {f['reason']}\" for f in failed_tools])\n logger.warning(\"所有端口扫描工具均失败 - 目标: %s, 失败工具: %s\", target_name, error_details)\n return {}, 0, [], failed_tools\n\n successful_tool_names = [\n name for name in enabled_tools\n if name not in [f['tool'] for f in failed_tools]\n ]\n\n logger.info(\n \"✓ 串行端口扫描执行完成 - 成功: %d/%d (成功: %s, 失败: %s)\",\n len(tool_stats), len(enabled_tools),\n ', '.join(successful_tool_names) if successful_tool_names else '无',\n ', '.join([f['tool'] for f in failed_tools]) if failed_tools else '无'\n )\n\n return tool_stats, processed_records, successful_tool_names, failed_tools\n\n\n@flow(\n name=\"port_scan\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef port_scan_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"\n 端口扫描 Flow\n\n 主要功能：\n 1. 扫描目标域名/IP 的开放端口\n 2. 保存 host + ip + port 三元映射到 HostPortMapping 表\n\n 输出资产：\n - HostPortMapping：主机端口映射（host + ip + port 三元组）\n\n 工作流程：\n Step 0: 创建工作目录\n Step 1: 导出域名列表到文件（供扫描工具使用）\n Step 2: 解析配置，获取启用的工具\n Step 3: 串行执行扫描工具，运行端口扫描工具并实时解析输出到数据库\n\n Args:\n scan_id: 扫描任务 ID\n target_name: 域名\n target_id: 目标 ID\n scan_workspace_dir: Scan 工作空间目录\n enabled_tools: 启用的工具配置字典\n\n Returns:\n dict: 扫描结果\n\n Raises:\n ValueError: 配置错误\n RuntimeError: 执行失败\n \"\"\"\n try:\n wait_for_system_load(context=\"port_scan_flow\")\n\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if not target_name:\n raise ValueError(\"target_name 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n if not enabled_tools:\n raise ValueError(\"enabled_tools 不能为空\")\n\n logger.info(\n \"开始端口扫描 - Scan ID: %s, Target: %s, Workspace: %s\",\n scan_id, target_name, scan_workspace_dir\n )\n user_log(scan_id, \"port_scan\", \"Starting port scan\")\n\n # Step 0: 创建工作目录\n from apps.scan.utils import setup_scan_directory\n port_scan_dir = setup_scan_directory(scan_workspace_dir, 'port_scan')\n\n # Step 1: 导出主机列表\n hosts_file, host_count, target_type = _export_hosts(target_id, port_scan_dir)\n\n if host_count == 0:\n logger.warning(\"跳过端口扫描：没有主机可扫描 - Scan ID: %s\", scan_id)\n user_log(scan_id, \"port_scan\", \"Skipped: no hosts to scan\", \"warning\")\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'hosts_file': hosts_file,\n 'host_count': 0,\n 'target_type': target_type,\n 'processed_records': 0,\n 'executed_tasks': ['export_hosts'],\n 'tool_stats': {\n 'total': 0,\n 'successful': 0,\n 'failed': 0,\n 'successful_tools': [],\n 'failed_tools': [],\n 'details': {}\n }\n }\n\n # Step 2: 工具配置信息\n logger.info(\"Step 2: 工具配置信息\")\n logger.info(\"✓ 启用工具: %s\", ', '.join(enabled_tools.keys()))\n\n # Step 3: 串行执行扫描工具\n logger.info(\"Step 3: 串行执行扫描工具\")\n tool_stats, processed_records, successful_tool_names, failed_tools = _run_scans_sequentially(\n enabled_tools=enabled_tools,\n domains_file=hosts_file,\n port_scan_dir=port_scan_dir,\n scan_id=scan_id,\n target_id=target_id,\n target_name=target_name\n )\n\n logger.info(\"✓ 端口扫描完成 - 发现端口: %d\", processed_records)\n user_log(scan_id, \"port_scan\", f\"port_scan completed: found {processed_records} ports\")\n\n executed_tasks = ['export_hosts', 'parse_config']\n executed_tasks.extend([f'run_and_stream_save_ports ({tool})' for tool in tool_stats])\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'hosts_file': hosts_file,\n 'host_count': host_count,\n 'target_type': target_type,\n 'processed_records': processed_records,\n 'executed_tasks': executed_tasks,\n 'tool_stats': {\n 'total': len(tool_stats) + len(failed_tools),\n 'successful': len(successful_tool_names),\n 'failed': len(failed_tools),\n 'successful_tools': successful_tool_names,\n 'failed_tools': failed_tools,\n 'details': tool_stats\n }\n }\n\n except ValueError as e:\n logger.error(\"配置错误: %s\", e)\n raise\n except RuntimeError as e:\n logger.error(\"运行时错误: %s\", e)\n raise\n except Exception as e:\n logger.exception(\"端口扫描失败: %s\", e)\n raise\n" }, { "path": "backend/apps/scan/flows/screenshot_flow.py", "content": "\"\"\"\n截图 Flow\n\n负责编排截图的完整流程：\n1. 从数据库获取 URL 列表（websites 和/或 endpoints）\n2. 批量截图并保存快照\n3. 同步到资产表\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库获取 URL\n2. Provider 模式：使用 TargetProvider 从任意数据源获取 URL\n\"\"\"\n\nimport logging\nfrom typing import Optional\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.providers import TargetProvider\nfrom apps.scan.services.target_export_service import DataSource, get_urls_with_fallback\nfrom apps.scan.tasks.screenshot import capture_screenshots_task\nfrom apps.scan.utils import user_log, wait_for_system_load\n\nlogger = logging.getLogger(__name__)\n\n# URL 来源到 DataSource 的映射\n_SOURCE_MAPPING = {\n 'websites': DataSource.WEBSITE,\n 'endpoints': DataSource.ENDPOINT,\n}\n\n\ndef _parse_screenshot_config(enabled_tools: dict) -> dict:\n \"\"\"解析截图配置\"\"\"\n playwright_config = enabled_tools.get('playwright', {})\n return {\n 'concurrency': playwright_config.get('concurrency', 5),\n 'url_sources': playwright_config.get('url_sources', ['websites'])\n }\n\n\ndef _map_url_sources_to_data_sources(url_sources: list[str]) -> list[str]:\n \"\"\"将配置中的 url_sources 映射为 DataSource 常量\"\"\"\n sources = []\n for source in url_sources:\n if source in _SOURCE_MAPPING:\n sources.append(_SOURCE_MAPPING[source])\n else:\n logger.warning(\"未知的 URL 来源: %s，跳过\", source)\n\n # 添加默认回退（从 subdomain 构造）\n sources.append(DataSource.DEFAULT)\n return sources\n\n\ndef _collect_urls_from_provider(provider: TargetProvider) -> tuple[list[str], str, list[str]]:\n \"\"\"从 Provider 收集 URL\"\"\"\n logger.info(\"使用 Provider 模式获取 URL - Provider: %s\", type(provider).__name__)\n urls = list(provider.iter_urls())\n\n blacklist_filter = provider.get_blacklist_filter()\n if blacklist_filter:\n urls = [url for url in urls if blacklist_filter.is_allowed(url)]\n\n return urls, 'provider', ['provider']\n\n\ndef _collect_urls_from_database(\n target_id: int,\n url_sources: list[str]\n) -> tuple[list[str], str, list[str]]:\n \"\"\"从数据库收集 URL（带黑名单过滤和回退）\"\"\"\n data_sources = _map_url_sources_to_data_sources(url_sources)\n result = get_urls_with_fallback(target_id, sources=data_sources)\n return result['urls'], result['source'], result['tried_sources']\n\n\ndef _build_empty_result(scan_id: int, target_name: str) -> dict:\n \"\"\"构建空结果\"\"\"\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'total_urls': 0,\n 'successful': 0,\n 'failed': 0,\n 'synced': 0\n }\n\n\n@flow(\n name=\"screenshot\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef screenshot_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict,\n provider: Optional[TargetProvider] = None\n) -> dict:\n \"\"\"\n 截图 Flow\n\n 支持两种模式：\n 1. 传统模式（向后兼容）：使用 target_id 从数据库获取 URL\n 2. Provider 模式：使用 TargetProvider 从任意数据源获取 URL\n\n Args:\n scan_id: 扫描任务 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: 扫描工作空间目录\n enabled_tools: 启用的工具配置\n provider: TargetProvider 实例（新模式，可选）\n\n Returns:\n 截图结果字典\n \"\"\"\n try:\n # 负载检查：等待系统资源充足\n wait_for_system_load(context=\"screenshot_flow\")\n\n mode = 'Provider' if provider else 'Legacy'\n logger.info(\n \"开始截图扫描 - Scan ID: %s, Target: %s, Mode: %s\",\n scan_id, target_name, mode\n )\n user_log(scan_id, \"screenshot\", \"Starting screenshot capture\")\n\n # Step 1: 解析配置\n config = _parse_screenshot_config(enabled_tools)\n concurrency = config['concurrency']\n logger.info(\"截图配置 - 并发: %d, URL来源: %s\", concurrency, config['url_sources'])\n\n # Step 2: 收集 URL 列表\n if provider is not None:\n urls, source_info, tried_sources = _collect_urls_from_provider(provider)\n else:\n urls, source_info, tried_sources = _collect_urls_from_database(\n target_id, config['url_sources']\n )\n\n logger.info(\n \"URL 收集完成 - 来源: %s, 数量: %d, 尝试过: %s\",\n source_info, len(urls), tried_sources\n )\n\n if not urls:\n logger.warning(\"没有可截图的 URL，跳过截图任务\")\n user_log(scan_id, \"screenshot\", \"Skipped: no URLs to capture\", \"warning\")\n return _build_empty_result(scan_id, target_name)\n\n user_log(\n scan_id, \"screenshot\",\n f\"Found {len(urls)} URLs to capture (source: {source_info})\"\n )\n\n # Step 3: 批量截图\n logger.info(\"批量截图 - %d 个 URL\", len(urls))\n capture_result = capture_screenshots_task(\n urls=urls,\n scan_id=scan_id,\n target_id=target_id,\n config={'concurrency': concurrency}\n )\n\n # Step 4: 同步到资产表\n logger.info(\"同步截图到资产表\")\n from apps.asset.services.screenshot_service import ScreenshotService\n synced = ScreenshotService().sync_screenshots_to_asset(scan_id, target_id)\n\n total = capture_result['total']\n successful = capture_result['successful']\n failed = capture_result['failed']\n\n logger.info(\n \"✓ 截图完成 - 总数: %d, 成功: %d, 失败: %d, 同步: %d\",\n total, successful, failed, synced\n )\n user_log(\n scan_id, \"screenshot\",\n f\"Screenshot completed: {successful}/{total} captured, {synced} synced\"\n )\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'total_urls': total,\n 'successful': successful,\n 'failed': failed,\n 'synced': synced\n }\n\n except Exception:\n logger.exception(\"截图 Flow 失败\")\n user_log(scan_id, \"screenshot\", \"Screenshot failed\", \"error\")\n raise\n" }, { "path": "backend/apps/scan/flows/site_scan_flow.py", "content": "\"\"\"\n站点扫描 Flow\n\n负责编排站点扫描的完整流程\n\n架构：\n- Flow 负责编排多个原子 Task\n- 支持串行执行扫描工具（流式处理）\n- 每个 Task 可独立重试\n- 配置由 YAML 解析\n\"\"\"\n\nimport logging\nimport subprocess\nfrom dataclasses import dataclass\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom prefect import flow\n\n# Django 环境初始化（导入即生效）\nfrom apps.common.prefect_django_setup import setup_django_for_prefect # noqa: F401\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.tasks.site_scan import (\n export_site_urls_task,\n run_and_stream_save_websites_task,\n)\nfrom apps.scan.utils import build_scan_command, user_log, wait_for_system_load\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ScanContext:\n \"\"\"扫描上下文，封装扫描参数\"\"\"\n scan_id: int\n target_id: int\n target_name: str\n site_scan_dir: Path\n urls_file: str\n total_urls: int\n\n\ndef _count_file_lines(file_path: str) -> int:\n \"\"\"使用 wc -l 统计文件行数\"\"\"\n try:\n result = subprocess.run(\n ['wc', '-l', file_path],\n capture_output=True,\n text=True,\n check=True\n )\n return int(result.stdout.strip().split()[0])\n except (subprocess.CalledProcessError, ValueError, IndexError) as e:\n logger.warning(\"wc -l 计算行数失败: %s，返回 0\", e)\n return 0\n\n\ndef _calculate_timeout_by_line_count(\n file_path: str,\n base_per_time: int = 1,\n min_timeout: int = 60\n) -> int:\n \"\"\"\n 根据文件行数计算 timeout\n\n Args:\n file_path: 要统计行数的文件路径\n base_per_time: 每行的基础时间（秒），默认1秒\n min_timeout: 最小超时时间（秒），默认60秒\n\n Returns:\n int: 计算出的超时时间（秒），不低于 min_timeout\n \"\"\"\n line_count = _count_file_lines(file_path)\n timeout = max(line_count * base_per_time, min_timeout)\n\n logger.info(\n \"timeout 自动计算: 文件=%s, 行数=%d, 每行时间=%d秒, timeout=%d秒\",\n file_path, line_count, base_per_time, timeout\n )\n return timeout\n\n\ndef _export_site_urls(\n target_id: int,\n site_scan_dir: Path\n) -> tuple[str, int, int]:\n \"\"\"\n 导出站点 URL 到文件\n\n Args:\n target_id: 目标 ID\n site_scan_dir: 站点扫描目录\n\n Returns:\n tuple: (urls_file, total_urls, association_count)\n \"\"\"\n logger.info(\"Step 1: 导出站点URL列表\")\n\n urls_file = str(site_scan_dir / 'site_urls.txt')\n export_result = export_site_urls_task(\n target_id=target_id,\n output_file=urls_file,\n batch_size=1000\n )\n\n total_urls = export_result['total_urls']\n association_count = export_result['association_count']\n\n logger.info(\n \"✓ 站点URL导出完成 - 文件: %s, URL数量: %d, 关联数: %d\",\n export_result['output_file'], total_urls, association_count\n )\n\n if total_urls == 0:\n logger.warning(\"目标下没有可用的站点URL，无法执行站点扫描\")\n\n return export_result['output_file'], total_urls, association_count\n\n\ndef _get_tool_timeout(tool_config: dict, urls_file: str) -> int:\n \"\"\"获取工具超时时间（支持 'auto' 动态计算）\"\"\"\n config_timeout = tool_config.get('timeout', 300)\n\n if config_timeout == 'auto':\n return _calculate_timeout_by_line_count(urls_file, base_per_time=1)\n\n dynamic_timeout = _calculate_timeout_by_line_count(urls_file, base_per_time=1)\n return max(dynamic_timeout, config_timeout)\n\n\ndef _execute_single_tool(\n tool_name: str,\n tool_config: dict,\n ctx: ScanContext\n) -> Optional[dict]:\n \"\"\"\n 执行单个扫描工具\n\n Returns:\n 成功返回结果字典，失败返回 None\n \"\"\"\n # 构建命令\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type='site_scan',\n command_params={'url_file': ctx.urls_file},\n tool_config=tool_config\n )\n except (ValueError, KeyError) as e:\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n return None\n\n timeout = _get_tool_timeout(tool_config, ctx.urls_file)\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n log_file = ctx.site_scan_dir / f\"{tool_name}_{timestamp}.log\"\n\n logger.info(\n \"开始执行 %s 站点扫描 - URL数: %d, 超时: %ds\",\n tool_name, ctx.total_urls, timeout\n )\n user_log(ctx.scan_id, \"site_scan\", f\"Running {tool_name}: {command}\")\n\n try:\n result = run_and_stream_save_websites_task(\n cmd=command,\n tool_name=tool_name,\n scan_id=ctx.scan_id,\n target_id=ctx.target_id,\n cwd=str(ctx.site_scan_dir),\n shell=True,\n timeout=timeout,\n log_file=str(log_file)\n )\n\n tool_created = result.get('created_websites', 0)\n skipped = result.get('skipped_no_subdomain', 0) + result.get('skipped_failed', 0)\n\n logger.info(\n \"✓ 工具 %s 完成 - 处理: %d, 创建: %d, 跳过: %d\",\n tool_name, result.get('processed_records', 0), tool_created, skipped\n )\n user_log(\n ctx.scan_id, \"site_scan\",\n f\"{tool_name} completed: found {tool_created} websites\"\n )\n\n return {'command': command, 'result': result, 'timeout': timeout}\n\n except subprocess.TimeoutExpired:\n logger.warning(\n \"⚠️ 工具 %s 执行超时 - 超时配置: %d秒 (超时前数据已保存)\",\n tool_name, timeout\n )\n user_log(\n ctx.scan_id, \"site_scan\",\n f\"{tool_name} failed: timeout after {timeout}s\", \"error\"\n )\n except (OSError, RuntimeError) as exc:\n logger.error(\"工具 %s 执行失败: %s\", tool_name, exc, exc_info=True)\n user_log(ctx.scan_id, \"site_scan\", f\"{tool_name} failed: {exc}\", \"error\")\n\n return None\n\n\ndef _run_scans_sequentially(\n enabled_tools: dict,\n ctx: ScanContext\n) -> tuple[dict, int, list, list]:\n \"\"\"\n 串行执行站点扫描任务\n\n Returns:\n tuple: (tool_stats, processed_records, successful_tools, failed_tools)\n \"\"\"\n tool_stats = {}\n processed_records = 0\n failed_tools = []\n\n for tool_name, tool_config in enabled_tools.items():\n result = _execute_single_tool(tool_name, tool_config, ctx)\n\n if result:\n tool_stats[tool_name] = result\n processed_records += result['result'].get('processed_records', 0)\n else:\n failed_tools.append({'tool': tool_name, 'reason': '执行失败'})\n\n if failed_tools:\n logger.warning(\n \"以下扫描工具执行失败: %s\",\n ', '.join(f['tool'] for f in failed_tools)\n )\n\n if not tool_stats:\n logger.warning(\n \"所有站点扫描工具均失败 - 目标: %s\", ctx.target_name\n )\n return {}, 0, [], failed_tools\n\n successful_tools = [\n name for name in enabled_tools\n if name not in {f['tool'] for f in failed_tools}\n ]\n\n logger.info(\n \"✓ 站点扫描执行完成 - 成功: %d/%d\",\n len(tool_stats), len(enabled_tools)\n )\n\n return tool_stats, processed_records, successful_tools, failed_tools\n\n\ndef _build_empty_result(\n scan_id: int,\n target_name: str,\n scan_workspace_dir: str,\n urls_file: str,\n association_count: int\n) -> dict:\n \"\"\"构建空结果（无 URL 可扫描时）\"\"\"\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'urls_file': urls_file,\n 'total_urls': 0,\n 'association_count': association_count,\n 'processed_records': 0,\n 'created_websites': 0,\n 'skipped_no_subdomain': 0,\n 'skipped_failed': 0,\n 'executed_tasks': ['export_site_urls'],\n 'tool_stats': {\n 'total': 0,\n 'successful': 0,\n 'failed': 0,\n 'successful_tools': [],\n 'failed_tools': [],\n 'details': {}\n }\n }\n\n\ndef _aggregate_tool_results(tool_stats: dict) -> tuple[int, int, int]:\n \"\"\"汇总工具结果\"\"\"\n total_created = sum(\n s['result'].get('created_websites', 0) for s in tool_stats.values()\n )\n total_skipped_no_subdomain = sum(\n s['result'].get('skipped_no_subdomain', 0) for s in tool_stats.values()\n )\n total_skipped_failed = sum(\n s['result'].get('skipped_failed', 0) for s in tool_stats.values()\n )\n return total_created, total_skipped_no_subdomain, total_skipped_failed\n\n\ndef _validate_flow_params(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str\n) -> None:\n \"\"\"验证 Flow 参数\"\"\"\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if not target_name:\n raise ValueError(\"target_name 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n\n\n@flow(\n name=\"site_scan\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef site_scan_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"\n 站点扫描 Flow\n\n 主要功能：\n 1. 从target获取所有子域名与其对应的端口号，拼接成URL写入文件\n 2. 用httpx进行批量请求并实时保存到数据库（流式处理）\n\n Args:\n scan_id: 扫描任务 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: 扫描工作空间目录\n enabled_tools: 启用的工具配置字典\n\n Returns:\n dict: 扫描结果\n\n Raises:\n ValueError: 配置错误\n RuntimeError: 执行失败\n \"\"\"\n try:\n wait_for_system_load(context=\"site_scan_flow\")\n\n logger.info(\n \"开始站点扫描 - Scan ID: %s, Target: %s, Workspace: %s\",\n scan_id, target_name, scan_workspace_dir\n )\n\n _validate_flow_params(scan_id, target_name, target_id, scan_workspace_dir)\n user_log(scan_id, \"site_scan\", \"Starting site scan\")\n\n # Step 0: 创建工作目录\n from apps.scan.utils import setup_scan_directory\n site_scan_dir = setup_scan_directory(scan_workspace_dir, 'site_scan')\n\n # Step 1: 导出站点 URL\n urls_file, total_urls, association_count = _export_site_urls(\n target_id, site_scan_dir\n )\n\n if total_urls == 0:\n logger.warning(\"跳过站点扫描：没有站点 URL 可扫描 - Scan ID: %s\", scan_id)\n user_log(scan_id, \"site_scan\", \"Skipped: no site URLs to scan\", \"warning\")\n return _build_empty_result(\n scan_id, target_name, scan_workspace_dir, urls_file, association_count\n )\n\n # Step 2: 工具配置信息\n logger.info(\"✓ 启用工具: %s\", ', '.join(enabled_tools))\n\n # Step 3: 串行执行扫描工具\n ctx = ScanContext(\n scan_id=scan_id,\n target_id=target_id,\n target_name=target_name,\n site_scan_dir=site_scan_dir,\n urls_file=urls_file,\n total_urls=total_urls\n )\n\n tool_stats, processed_records, successful_tools, failed_tools = \\\n _run_scans_sequentially(enabled_tools, ctx)\n\n # 汇总结果\n executed_tasks = ['export_site_urls', 'parse_config']\n executed_tasks.extend(\n f'run_and_stream_save_websites ({tool})' for tool in tool_stats\n )\n\n total_created, total_skipped_no_sub, total_skipped_failed = \\\n _aggregate_tool_results(tool_stats)\n\n logger.info(\"✓ 站点扫描完成 - 创建站点: %d\", total_created)\n user_log(\n scan_id, \"site_scan\",\n f\"site_scan completed: found {total_created} websites\"\n )\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'urls_file': urls_file,\n 'total_urls': total_urls,\n 'association_count': association_count,\n 'processed_records': processed_records,\n 'created_websites': total_created,\n 'skipped_no_subdomain': total_skipped_no_sub,\n 'skipped_failed': total_skipped_failed,\n 'executed_tasks': executed_tasks,\n 'tool_stats': {\n 'total': len(enabled_tools),\n 'successful': len(successful_tools),\n 'failed': len(failed_tools),\n 'successful_tools': successful_tools,\n 'failed_tools': failed_tools,\n 'details': tool_stats\n }\n }\n\n except ValueError:\n raise\n except RuntimeError:\n raise\n" }, { "path": "backend/apps/scan/flows/subdomain_discovery_flow.py", "content": "\"\"\"\n子域名发现扫描 Flow\n\n负责编排子域名发现扫描的完整流程\n\n架构：\n- Flow 负责编排多个原子 Task\n- 支持并行执行扫描工具\n- 每个 Task 可独立重试\n- 配置由 YAML 解析\n\n增强流程（4 阶段）：\n Stage 1: 被动收集（并行） - 必选\n Stage 2: 字典爆破（可选） - 子域名字典爆破\n Stage 3: 变异生成 + 验证（可选） - dnsgen + 通用存活验证\n Stage 4: DNS 存活验证（可选） - 通用存活验证\n\n各阶段可灵活开关，最终结果根据实际执行的阶段动态决定\n\"\"\"\n\nimport logging\nimport subprocess\nimport uuid\nfrom dataclasses import dataclass, field\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom prefect import flow\n\n# Django 环境初始化（导入即生效，pylint: disable=unused-import）\nfrom apps.common.prefect_django_setup import setup_django_for_prefect # noqa: F401\nfrom apps.common.normalizer import normalize_domain\nfrom apps.common.validators import validate_domain\nfrom apps.engine.services.wordlist_service import WordlistService\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.utils import (\n build_scan_command,\n ensure_wordlist_local,\n user_log,\n wait_for_system_load,\n)\n\nlogger = logging.getLogger(__name__)\n\n# 泛解析检测配置\n_SAMPLE_MULTIPLIER = 100 # 采样数量 = 原文件 × 100\n_EXPANSION_THRESHOLD = 50 # 膨胀阈值 = 原文件 × 50\n_SAMPLE_TIMEOUT = 7200 # 采样超时 2 小时\n\n\n@dataclass\nclass ScanContext:\n \"\"\"扫描上下文，用于在各阶段间传递状态\"\"\"\n scan_id: int\n target_id: int\n domain_name: str\n result_dir: Path\n timestamp: str\n current_result: str = \"\"\n executed_tasks: list = field(default_factory=list)\n failed_tools: list = field(default_factory=list)\n successful_tools: list = field(default_factory=list)\n\n\ndef _validate_and_normalize_target(target_name: str) -> str:\n \"\"\"验证并规范化目标域名\"\"\"\n try:\n normalized_target = normalize_domain(target_name)\n validate_domain(normalized_target)\n logger.debug(\"域名验证通过: %s -> %s\", target_name, normalized_target)\n return normalized_target\n except ValueError as e:\n raise ValueError(f\"无效的目标域名: {target_name} - {e}\") from e\n\n\ndef _count_lines(file_path: str) -> int:\n \"\"\"统计文件非空行数\"\"\"\n try:\n with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:\n return sum(1 for line in f if line.strip())\n except OSError as e:\n logger.warning(\"统计文件行数失败: %s - %s\", file_path, e)\n return 0\n\n\ndef _merge_files(file_list: list, output_file: str) -> str:\n \"\"\"合并多个文件并去重\"\"\"\n domains = set()\n for f in file_list:\n if f and Path(f).exists():\n with open(f, 'r', encoding='utf-8', errors='ignore') as fp:\n for line in fp:\n line = line.strip()\n if line:\n domains.add(line)\n\n with open(output_file, 'w', encoding='utf-8') as fp:\n for domain in sorted(domains):\n fp.write(domain + '\\n')\n\n logger.info(\"合并完成: %d 个域名 -> %s\", len(domains), output_file)\n return output_file\n\n\ndef _calculate_auto_timeout(file_path: str, multiplier: int = 3, default: int = 3600) -> int:\n \"\"\"根据文件行数计算超时时间\"\"\"\n try:\n with open(file_path, 'rb') as f:\n line_count = sum(1 for _ in f)\n return line_count * multiplier if line_count > 0 else default\n except OSError:\n return default\n\n\ndef _run_single_tool(\n tool_name: str,\n tool_config: dict,\n command_params: dict,\n result_dir: Path,\n scan_id: Optional[int] = None,\n scan_type: str = 'subdomain_discovery'\n) -> str:\n \"\"\"运行单个扫描工具，返回输出文件路径，失败返回空字符串\"\"\"\n from apps.scan.tasks.subdomain_discovery import run_subdomain_discovery_task\n\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n short_uuid = uuid.uuid4().hex[:4]\n output_file = str(result_dir / f\"{tool_name}_{timestamp}_{short_uuid}.txt\")\n command_params['output_file'] = output_file\n\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type=scan_type,\n command_params=command_params,\n tool_config=tool_config\n )\n except (ValueError, KeyError) as e:\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n return \"\"\n\n timeout = tool_config.get('timeout', 3600)\n if timeout == 'auto':\n timeout = 3600\n\n logger.info(\"执行 %s: %s\", tool_name, command)\n if scan_id:\n user_log(scan_id, scan_type, f\"Running {tool_name}: {command}\")\n\n try:\n result = run_subdomain_discovery_task(\n tool=tool_name,\n command=command,\n timeout=timeout,\n output_file=output_file\n )\n return result if result else \"\"\n except (subprocess.TimeoutExpired, OSError) as e:\n logger.warning(\"%s 执行失败: %s\", tool_name, e)\n return \"\"\n\n\ndef _run_scans_parallel(\n enabled_tools: dict,\n domain_name: str,\n result_dir: Path,\n scan_id: int,\n provider_config_path: Optional[str] = None\n) -> tuple[list, list, list]:\n \"\"\"并行运行所有启用的子域名扫描工具\"\"\"\n from apps.scan.tasks.subdomain_discovery import run_subdomain_discovery_task\n\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n futures = {}\n failed_tools = []\n\n for tool_name, tool_config in enabled_tools.items():\n short_uuid = uuid.uuid4().hex[:4]\n output_file = str(result_dir / f\"{tool_name}_{timestamp}_{short_uuid}.txt\")\n\n command_params = {'domain': domain_name, 'output_file': output_file}\n if tool_name == 'subfinder' and provider_config_path:\n command_params['provider_config'] = provider_config_path\n\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type='subdomain_discovery',\n command_params=command_params,\n tool_config=tool_config\n )\n except (ValueError, KeyError) as e:\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n failed_tools.append({'tool': tool_name, 'reason': f'命令构建失败: {e}'})\n continue\n\n timeout = tool_config.get('timeout', 600)\n if timeout == 'auto':\n timeout = 600\n logger.info(\"✓ 工具 %s 使用默认 timeout: %d秒\", tool_name, timeout)\n\n logger.debug(\"提交任务 - 工具: %s, 超时: %ds, 输出: %s\", tool_name, timeout, output_file)\n user_log(scan_id, \"subdomain_discovery\", f\"Running {tool_name}: {command}\")\n\n future = run_subdomain_discovery_task.submit(\n tool=tool_name,\n command=command,\n timeout=timeout,\n output_file=output_file\n )\n futures[tool_name] = future\n\n if not futures:\n logger.warning(\"所有扫描工具均无法启动 - 目标: %s\", domain_name)\n return [], [{'tool': 'all', 'reason': '所有工具均无法启动'}], []\n\n result_files = []\n for tool_name, future in futures.items():\n try:\n result = future.result()\n if result:\n result_files.append(result)\n logger.info(\"✓ 扫描工具 %s 执行成功: %s\", tool_name, result)\n user_log(scan_id, \"subdomain_discovery\", f\"{tool_name} completed\")\n else:\n failed_tools.append({'tool': tool_name, 'reason': '未生成结果文件'})\n logger.warning(\"⚠️ 扫描工具 %s 未生成结果文件\", tool_name)\n user_log(scan_id, \"subdomain_discovery\", f\"{tool_name} failed: no output\", \"error\")\n except (subprocess.TimeoutExpired, OSError) as e:\n failed_tools.append({'tool': tool_name, 'reason': str(e)})\n logger.warning(\"⚠️ 扫描工具 %s 执行失败: %s\", tool_name, e)\n user_log(scan_id, \"subdomain_discovery\", f\"{tool_name} failed: {e}\", \"error\")\n\n successful_tools = [name for name in futures if name not in [f['tool'] for f in failed_tools]]\n\n logger.info(\n \"✓ 扫描工具并行执行完成 - 成功: %d/%d\",\n len(result_files), len(futures)\n )\n\n return result_files, failed_tools, successful_tools\n\n\ndef _generate_provider_config(result_dir: Path, scan_id: int) -> Optional[str]:\n \"\"\"为 subfinder 生成第三方数据源配置\"\"\"\n try:\n from apps.scan.services.subfinder_provider_config_service import (\n SubfinderProviderConfigService,\n )\n config_path = SubfinderProviderConfigService().generate(str(result_dir))\n if config_path:\n logger.info(\"Provider 配置文件已生成: %s\", config_path)\n user_log(scan_id, \"subdomain_discovery\", \"Provider config generated for subfinder\")\n return config_path\n except (ImportError, OSError) as e:\n logger.warning(\"生成 Provider 配置文件失败: %s\", e)\n return None\n\n\ndef _run_stage1_passive(ctx: ScanContext, enabled_tools: dict, provider_config: Optional[str]):\n \"\"\"Stage 1: 被动收集（并行）\"\"\"\n if not enabled_tools:\n return\n\n logger.info(\"=\" * 40)\n logger.info(\"Stage 1: 被动收集（并行）\")\n logger.info(\"=\" * 40)\n logger.info(\"启用工具: %s\", ', '.join(enabled_tools.keys()))\n user_log(\n ctx.scan_id, \"subdomain_discovery\",\n f\"Stage 1: passive collection ({', '.join(enabled_tools.keys())})\"\n )\n\n result_files, failed, successful = _run_scans_parallel(\n enabled_tools=enabled_tools,\n domain_name=ctx.domain_name,\n result_dir=ctx.result_dir,\n scan_id=ctx.scan_id,\n provider_config_path=provider_config\n )\n\n ctx.failed_tools.extend(failed)\n ctx.successful_tools.extend(successful)\n ctx.executed_tasks.extend([f'passive ({tool})' for tool in successful])\n\n # 合并结果\n ctx.current_result = str(ctx.result_dir / f\"subs_passive_{ctx.timestamp}.txt\")\n if result_files:\n ctx.current_result = _merge_files(result_files, ctx.current_result)\n ctx.executed_tasks.append('merge_passive')\n else:\n Path(ctx.current_result).touch()\n\n\ndef _run_stage2_bruteforce(ctx: ScanContext, bruteforce_config: dict):\n \"\"\"Stage 2: 字典爆破（可选）\"\"\"\n if not bruteforce_config.get('enabled', False):\n return\n\n logger.info(\"=\" * 40)\n logger.info(\"Stage 2: 字典爆破\")\n logger.info(\"=\" * 40)\n user_log(ctx.scan_id, \"subdomain_discovery\", \"Stage 2: bruteforce\")\n\n tool_config = bruteforce_config.get('subdomain_bruteforce', {})\n wordlist_name = tool_config.get('wordlist_name', 'dns_wordlist.txt')\n\n try:\n local_wordlist_path = ensure_wordlist_local(wordlist_name)\n\n # 计算 timeout\n timeout_value = tool_config.get('timeout', 3600)\n if timeout_value == 'auto':\n wordlist = WordlistService().get_wordlist_by_name(wordlist_name)\n line_count = getattr(wordlist, 'line_count', None) if wordlist else None\n if line_count is None:\n line_count = _calculate_auto_timeout(local_wordlist_path, 1, 0)\n timeout_value = int(line_count) * 3 if line_count else 3600\n tool_config = {**tool_config, 'timeout': timeout_value}\n\n result = _run_single_tool(\n tool_name='subdomain_bruteforce',\n tool_config=tool_config,\n command_params={'domain': ctx.domain_name, 'wordlist': local_wordlist_path},\n result_dir=ctx.result_dir,\n scan_id=ctx.scan_id\n )\n\n if result:\n ctx.current_result = _merge_files(\n [ctx.current_result, result],\n str(ctx.result_dir / f\"subs_merged_{ctx.timestamp}.txt\")\n )\n ctx.successful_tools.append('subdomain_bruteforce')\n ctx.executed_tasks.append('bruteforce')\n logger.info(\"✓ subdomain_bruteforce 执行完成\")\n user_log(ctx.scan_id, \"subdomain_discovery\", \"subdomain_bruteforce completed\")\n else:\n ctx.failed_tools.append({'tool': 'subdomain_bruteforce', 'reason': '执行失败'})\n logger.warning(\"⚠️ subdomain_bruteforce 执行失败\")\n user_log(ctx.scan_id, \"subdomain_discovery\", \"subdomain_bruteforce failed\", \"error\")\n\n except (ValueError, OSError) as exc:\n ctx.failed_tools.append({'tool': 'subdomain_bruteforce', 'reason': str(exc)})\n logger.warning(\"字典准备失败，跳过字典爆破: %s\", exc)\n user_log(ctx.scan_id, \"subdomain_discovery\", f\"subdomain_bruteforce failed: {exc}\", \"error\")\n\n\ndef _run_stage3_permutation(ctx: ScanContext, permutation_config: dict):\n \"\"\"Stage 3: 变异生成 + 验证（可选）\"\"\"\n if not permutation_config.get('enabled', False):\n return\n\n logger.info(\"=\" * 40)\n logger.info(\"Stage 3: 变异生成 + 存活验证（流式管道）\")\n logger.info(\"=\" * 40)\n user_log(ctx.scan_id, \"subdomain_discovery\", \"Stage 3: permutation + resolve\")\n\n tool_config = permutation_config.get('subdomain_permutation_resolve', {})\n before_count = _count_lines(ctx.current_result)\n\n sample_size = before_count * _SAMPLE_MULTIPLIER\n max_allowed = before_count * _EXPANSION_THRESHOLD\n sample_output = str(ctx.result_dir / f\"subs_permuted_sample_{ctx.timestamp}.txt\")\n\n sample_cmd = (\n f\"cat {ctx.current_result} | dnsgen - | head -n {sample_size} | \"\n f\"puredns resolve -r /app/backend/resources/resolvers.txt \"\n f\"--write {sample_output} --wildcard-tests 50 --wildcard-batch 1000000 --quiet\"\n )\n\n logger.info(\n \"泛解析采样检测: 原文件 %d 个, 采样 %d 个, 阈值 %d 个\",\n before_count, sample_size, max_allowed\n )\n\n try:\n subprocess.run(\n sample_cmd,\n shell=True, # noqa: S602\n timeout=_SAMPLE_TIMEOUT,\n check=False,\n capture_output=True\n )\n sample_count = _count_lines(sample_output) if Path(sample_output).exists() else 0\n\n logger.info(\n \"采样结果: %d 个域名存活 (原文件: %d, 阈值: %d)\",\n sample_count, before_count, max_allowed\n )\n\n if sample_count > max_allowed:\n ratio = sample_count / before_count if before_count > 0 else sample_count\n logger.warning(\n \"跳过变异: 采样检测到泛解析 (%d > %d, 膨胀率 %.1fx)\",\n sample_count, max_allowed, ratio\n )\n ctx.failed_tools.append({\n 'tool': 'subdomain_permutation_resolve',\n 'reason': f\"采样检测到泛解析 (膨胀率 {ratio:.1f}x)\"\n })\n user_log(\n ctx.scan_id, \"subdomain_discovery\",\n f\"subdomain_permutation_resolve skipped: wildcard (ratio {ratio:.1f}x)\",\n \"warning\"\n )\n return\n\n # 采样通过，执行完整变异\n logger.info(\"采样检测通过，执行完整变异...\")\n result = _run_single_tool(\n tool_name='subdomain_permutation_resolve',\n tool_config=tool_config,\n command_params={'input_file': ctx.current_result},\n result_dir=ctx.result_dir,\n scan_id=ctx.scan_id\n )\n\n if result:\n ctx.current_result = _merge_files(\n [ctx.current_result, result],\n str(ctx.result_dir / f\"subs_with_permuted_{ctx.timestamp}.txt\")\n )\n ctx.successful_tools.append('subdomain_permutation_resolve')\n ctx.executed_tasks.append('permutation')\n logger.info(\"✓ subdomain_permutation_resolve 执行完成\")\n user_log(ctx.scan_id, \"subdomain_discovery\", \"subdomain_permutation_resolve completed\")\n else:\n ctx.failed_tools.append({'tool': 'subdomain_permutation_resolve', 'reason': '执行失败'})\n logger.warning(\"⚠️ subdomain_permutation_resolve 执行失败\")\n user_log(\n ctx.scan_id, \"subdomain_discovery\",\n \"subdomain_permutation_resolve failed\", \"error\"\n )\n\n except subprocess.TimeoutExpired:\n ctx.failed_tools.append({'tool': 'subdomain_permutation_resolve', 'reason': '采样检测超时'})\n logger.warning(\"采样检测超时 (%d秒)，跳过变异\", _SAMPLE_TIMEOUT)\n user_log(\n ctx.scan_id, \"subdomain_discovery\",\n \"subdomain_permutation_resolve failed: timeout\", \"error\"\n )\n except OSError as e:\n ctx.failed_tools.append({'tool': 'subdomain_permutation_resolve', 'reason': f'采样检测失败: {e}'})\n logger.warning(\"采样检测失败: %s，跳过变异\", e)\n user_log(ctx.scan_id, \"subdomain_discovery\", f\"subdomain_permutation_resolve failed: {e}\", \"error\")\n\n\ndef _run_stage4_resolve(ctx: ScanContext, resolve_config: dict):\n \"\"\"Stage 4: DNS 存活验证（可选）\"\"\"\n if not resolve_config.get('enabled', False):\n return\n\n logger.info(\"=\" * 40)\n logger.info(\"Stage 4: DNS 存活验证\")\n logger.info(\"=\" * 40)\n user_log(ctx.scan_id, \"subdomain_discovery\", \"Stage 4: DNS resolve\")\n\n tool_config = resolve_config.get('subdomain_resolve', {})\n\n # 动态计算 timeout\n timeout_value = tool_config.get('timeout', 3600)\n if timeout_value == 'auto':\n timeout_value = _calculate_auto_timeout(ctx.current_result, 3, 3600)\n tool_config = {**tool_config, 'timeout': timeout_value}\n\n result = _run_single_tool(\n tool_name='subdomain_resolve',\n tool_config=tool_config,\n command_params={'input_file': ctx.current_result},\n result_dir=ctx.result_dir,\n scan_id=ctx.scan_id\n )\n\n if result:\n ctx.current_result = result\n ctx.successful_tools.append('subdomain_resolve')\n ctx.executed_tasks.append('resolve')\n logger.info(\"✓ subdomain_resolve 执行完成\")\n user_log(ctx.scan_id, \"subdomain_discovery\", \"subdomain_resolve completed\")\n else:\n ctx.failed_tools.append({'tool': 'subdomain_resolve', 'reason': '执行失败'})\n logger.warning(\"⚠️ subdomain_resolve 执行失败\")\n user_log(ctx.scan_id, \"subdomain_discovery\", \"subdomain_resolve failed\", \"error\")\n\n\ndef _save_to_database(ctx: ScanContext) -> int:\n \"\"\"Final: 保存到数据库\"\"\"\n from apps.scan.tasks.subdomain_discovery import merge_and_validate_task, save_domains_task\n\n logger.info(\"=\" * 40)\n logger.info(\"Final: 保存到数据库\")\n logger.info(\"=\" * 40)\n\n final_file = merge_and_validate_task(\n result_files=[ctx.current_result],\n result_dir=str(ctx.result_dir)\n )\n\n save_result = save_domains_task(\n domains_file=final_file,\n scan_id=ctx.scan_id,\n target_id=ctx.target_id\n )\n\n ctx.executed_tasks.append('save_domains')\n return save_result.get('processed_records', 0)\n\n\ndef _empty_result(scan_id: int, target: str, scan_workspace_dir: str) -> dict:\n \"\"\"返回空结果\"\"\"\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target,\n 'scan_workspace_dir': scan_workspace_dir,\n 'total': 0,\n 'executed_tasks': [],\n 'tool_stats': {\n 'total': 0,\n 'successful': 0,\n 'failed': 0,\n 'successful_tools': [],\n 'failed_tools': []\n }\n }\n\n\n@flow(\n name=\"subdomain_discovery\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef subdomain_discovery_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"子域名发现扫描流程\n\n 工作流程（4 阶段）：\n Stage 1: 被动收集（并行） - 必选\n Stage 2: 字典爆破（可选） - 子域名字典爆破\n Stage 3: 变异生成 + 验证（可选） - dnsgen + 通用存活验证\n Stage 4: DNS 存活验证（可选） - 通用存活验证\n Final: 保存到数据库\n\n 注意：\n - 子域名发现只对 DOMAIN 类型目标有意义\n - IP 和 CIDR 类型目标会自动跳过\n \"\"\"\n try:\n wait_for_system_load(context=\"subdomain_discovery_flow\")\n\n # 参数验证\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n if enabled_tools is None:\n raise ValueError(\"enabled_tools 不能为空\")\n\n if not target_name:\n logger.warning(\"未提供目标域名，跳过子域名发现扫描\")\n return _empty_result(scan_id, '', scan_workspace_dir)\n\n # 检查 Target 类型\n from apps.targets.models import Target\n from apps.targets.services import TargetService\n\n target = TargetService().get_target(target_id)\n if target and target.type != Target.TargetType.DOMAIN:\n logger.info(\n \"跳过子域名发现扫描: Target 类型为 %s (ID=%d)，仅适用于域名类型\",\n target.type, target_id\n )\n return _empty_result(scan_id, target_name, scan_workspace_dir)\n\n # 验证并规范化目标域名\n try:\n domain_name = _validate_and_normalize_target(target_name)\n except ValueError as e:\n logger.warning(\"目标域名无效，跳过子域名发现扫描: %s\", e)\n return _empty_result(scan_id, target_name, scan_workspace_dir)\n\n # 准备工作目录\n from apps.scan.utils import setup_scan_directory\n result_dir = setup_scan_directory(scan_workspace_dir, 'subdomain_discovery')\n\n logger.info(\n \"开始子域名发现扫描 - Scan ID: %s, Domain: %s, Workspace: %s\",\n scan_id, domain_name, scan_workspace_dir\n )\n user_log(scan_id, \"subdomain_discovery\", f\"Starting subdomain discovery for {domain_name}\")\n\n # 解析配置\n scan_config = enabled_tools\n passive_tools = scan_config.get('passive_tools', {})\n bruteforce_config = scan_config.get('bruteforce', {})\n permutation_config = scan_config.get('permutation', {})\n resolve_config = scan_config.get('resolve', {})\n\n enabled_passive_tools = {\n k: v for k, v in passive_tools.items()\n if v.get('enabled', True)\n }\n\n # 创建扫描上下文\n ctx = ScanContext(\n scan_id=scan_id,\n target_id=target_id,\n domain_name=domain_name,\n result_dir=result_dir,\n timestamp=datetime.now().strftime('%Y%m%d_%H%M%S')\n )\n\n # 生成 Provider 配置\n provider_config = _generate_provider_config(result_dir, scan_id)\n\n # 执行各阶段\n _run_stage1_passive(ctx, enabled_passive_tools, provider_config)\n _run_stage2_bruteforce(ctx, bruteforce_config)\n _run_stage3_permutation(ctx, permutation_config)\n _run_stage4_resolve(ctx, resolve_config)\n\n # 保存到数据库\n processed_domains = _save_to_database(ctx)\n\n logger.info(\"✓ 子域名发现扫描完成\")\n user_log(\n scan_id, \"subdomain_discovery\",\n f\"subdomain_discovery completed: found {processed_domains} subdomains\"\n )\n\n # 计算工具总数\n total_tools = len(enabled_passive_tools)\n if bruteforce_config.get('enabled', False):\n total_tools += 1\n if permutation_config.get('enabled', False):\n total_tools += 1\n if resolve_config.get('enabled', False):\n total_tools += 1\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': domain_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'total': processed_domains,\n 'executed_tasks': ctx.executed_tasks,\n 'tool_stats': {\n 'total': total_tools,\n 'successful': len(ctx.successful_tools),\n 'failed': len(ctx.failed_tools),\n 'successful_tools': ctx.successful_tools,\n 'failed_tools': ctx.failed_tools\n }\n }\n\n except ValueError as e:\n logger.error(\"配置错误: %s\", e)\n raise\n except RuntimeError as e:\n logger.error(\"运行时错误: %s\", e)\n raise\n" }, { "path": "backend/apps/scan/flows/url_fetch/__init__.py", "content": "\"\"\"\nURL Fetch Flow 模块\n\n提供 URL 获取相关的 Flow：\n- url_fetch_flow: 主 Flow（按输入类型编排 + 统一后处理）\n- domain_name_url_fetch_flow: 基于 domain_name（来自 target_name）输入的 URL 获取子 Flow（如 waymore）\n- sites_url_fetch_flow: 基于 sites_file 输入的 URL 获取子 Flow（如 katana 等爬虫）\n\"\"\"\n\nfrom .main_flow import url_fetch_flow\nfrom .domain_name_url_fetch_flow import domain_name_url_fetch_flow\nfrom .sites_url_fetch_flow import sites_url_fetch_flow\n\n__all__ = [\n 'url_fetch_flow',\n 'domain_name_url_fetch_flow',\n 'sites_url_fetch_flow',\n]\n" }, { "path": "backend/apps/scan/flows/url_fetch/domain_name_url_fetch_flow.py", "content": "\"\"\"\n基于 Target 根域名的 URL 被动收集 Flow\n\n用于 waymore 等被动收集工具：\n- 输入：Target 的根域名（target_name，如 example.com）\n- 工具会自动从第三方源（Wayback Machine、Common Crawl 等）查询该域名及其子域名的历史 URL\n- 不需要遍历子域名列表，工具内部会处理 *.example.com\n\n注意：\n- 此 Flow 只对 DOMAIN 类型 Target 有效\n- IP 和 CIDR 类型会自动跳过（被动收集工具不支持）\n\"\"\"\n\n# Django 环境初始化\nfrom apps.common.prefect_django_setup import setup_django_for_prefect\n\nimport logging\nimport uuid\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Dict\n\nfrom prefect import flow\n\nfrom apps.common.validators import validate_domain\nfrom apps.scan.tasks.url_fetch import run_url_fetcher_task\nfrom apps.scan.utils import build_scan_command\n\n\nlogger = logging.getLogger(__name__)\n\n\n@flow(name=\"domain_name_url_fetch_flow\", log_prints=True)\ndef domain_name_url_fetch_flow(\n scan_id: int,\n target_id: int,\n target_name: str,\n output_dir: str,\n domain_name_tools: Dict[str, dict],\n) -> dict:\n \"\"\"\n 基于 Target 根域名执行 URL 被动收集（当前主要用于 waymore）\n\n 执行流程：\n 1. 校验 Target 类型（IP/CIDR 类型跳过）\n 2. 使用传入的工具列表对根域名执行被动收集\n 3. 工具内部会自动查询该域名及其子域名的历史 URL\n 4. 汇总结果文件列表\n \n Args:\n scan_id: 扫描 ID\n target_id: 目标 ID\n target_name: Target 根域名（如 example.com），不是子域名列表\n output_dir: 输出目录\n domain_name_tools: 被动收集工具配置（如 waymore）\n \n 注意：\n - 此 Flow 只对 DOMAIN 类型 Target 有效\n - IP 和 CIDR 类型会自动跳过（waymore 等工具不支持）\n - 工具会自动收集 *.target_name 的所有历史 URL，无需遍历子域名\n \"\"\"\n from apps.scan.utils import user_log\n \n try:\n output_path = Path(output_dir)\n output_path.mkdir(parents=True, exist_ok=True)\n\n # 检查 Target 类型，IP/CIDR 类型跳过\n from apps.targets.services import TargetService\n from apps.targets.models import Target\n \n target_service = TargetService()\n target = target_service.get_target(target_id)\n \n if target and target.type != Target.TargetType.DOMAIN:\n logger.info(\n \"跳过 domain_name URL 获取: Target 类型为 %s (ID=%d, Name=%s)，waymore 等工具仅适用于域名类型\",\n target.type, target_id, target_name\n )\n return {\n \"success\": True,\n \"result_files\": [],\n \"failed_tools\": [],\n \"successful_tools\": [],\n }\n\n # 复用公共域名校验逻辑，确保 target_name 是合法域名\n validate_domain(target_name)\n\n logger.info(\n \"开始基于 domain_name 的 URL 获取 - Target: %s, Tools: %s\",\n target_name,\n \", \".join(domain_name_tools.keys()) if domain_name_tools else \"无\",\n )\n\n futures: dict[str, object] = {}\n failed_tools: list[dict] = []\n\n # 提交所有基于域名的 URL 获取任务\n for tool_name, tool_config in domain_name_tools.items():\n timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n short_uuid = uuid.uuid4().hex[:4]\n output_file = str(output_path / f\"{tool_name}_{timestamp}_{short_uuid}.txt\")\n\n command_params = {\n \"domain_name\": target_name,\n \"output_file\": output_file,\n }\n\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type=\"url_fetch\",\n command_params=command_params,\n tool_config=tool_config,\n )\n except Exception as e:\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n failed_tools.append({\"tool\": tool_name, \"reason\": f\"命令构建失败: {e}\"})\n continue\n\n # 计算超时时间：domain_name 模式下，没有行数统计，auto 使用固定超时\n raw_timeout = tool_config.get(\"timeout\", 3600)\n timeout = 3600\n if isinstance(raw_timeout, str) and raw_timeout == \"auto\":\n timeout = 3600\n logger.info(\n \"工具 %s 使用固定自动超时: %d 秒 (domain_name 模式)\",\n tool_name,\n timeout,\n )\n else:\n try:\n timeout = int(raw_timeout)\n except (TypeError, ValueError):\n logger.warning(\n \"工具 %s 的 timeout 配置无效(%s)，将使用默认 3600 秒\",\n tool_name,\n raw_timeout,\n )\n timeout = 3600\n\n logger.info(\n \"提交任务 - 工具: %s, domain_name: %s, 超时: %d秒\",\n tool_name,\n target_name,\n timeout,\n )\n\n # 记录工具开始执行日志\n user_log(scan_id, \"url_fetch\", f\"Running {tool_name}: {command}\")\n\n future = run_url_fetcher_task.submit(\n tool_name=tool_name,\n command=command,\n timeout=timeout,\n output_file=output_file,\n )\n futures[tool_name] = future\n\n result_files: list[str] = []\n successful_tools: list[str] = []\n\n # 收集执行结果\n for tool_name, future in futures.items():\n try:\n result = future.result()\n if result and result.get(\"success\"):\n result_files.append(result[\"output_file\"])\n successful_tools.append(tool_name)\n url_count = result.get(\"url_count\", 0)\n logger.info(\n \"✓ 工具 %s 执行成功 - 发现 URL: %d\",\n tool_name,\n url_count,\n )\n user_log(scan_id, \"url_fetch\", f\"{tool_name} completed: found {url_count} urls\")\n else:\n reason = \"未生成结果或无有效 URL\"\n failed_tools.append(\n {\n \"tool\": tool_name,\n \"reason\": reason,\n }\n )\n logger.warning(\"⚠️ 工具 %s 未生成有效结果\", tool_name)\n user_log(scan_id, \"url_fetch\", f\"{tool_name} failed: {reason}\", \"error\")\n except Exception as e:\n reason = str(e)\n failed_tools.append({\"tool\": tool_name, \"reason\": reason})\n logger.warning(\"⚠️ 工具 %s 执行失败: %s\", tool_name, e)\n user_log(scan_id, \"url_fetch\", f\"{tool_name} failed: {reason}\", \"error\")\n\n logger.info(\n \"基于 domain_name 的 URL 获取完成 - 成功工具: %s, 失败工具: %s\",\n successful_tools or \"无\",\n [f[\"tool\"] for f in failed_tools] or \"无\",\n )\n\n return {\n \"success\": True,\n \"result_files\": result_files,\n \"failed_tools\": failed_tools,\n \"successful_tools\": successful_tools,\n }\n\n except Exception as e:\n logger.error(\"domain_name URL 获取失败: %s\", e, exc_info=True)\n return {\n \"success\": False,\n \"result_files\": [],\n \"failed_tools\": [\n {\"tool\": \"domain_name_url_fetch_flow\", \"reason\": str(e)},\n ],\n \"successful_tools\": [],\n }\n" }, { "path": "backend/apps/scan/flows/url_fetch/main_flow.py", "content": "\"\"\"\nURL Fetch 主 Flow\n\n负责编排不同输入类型的 URL 获取子 Flow（domain_name / sites_file），以及统一的后处理（uro 去重、httpx 验证）\n\n架构：\n- 调用 domain_name_url_fetch_flow（domain_name 输入）和 sites_url_fetch_flow（sites_file 输入）\n- 合并多个子 Flow 的结果\n- 统一进行 uro 去重（如果启用）\n- 统一进行 httpx 验证（如果启用）\n\"\"\"\n\nimport logging\nfrom datetime import datetime\nfrom pathlib import Path\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_completed,\n on_scan_flow_failed,\n on_scan_flow_running,\n)\nfrom apps.scan.utils import user_log, wait_for_system_load\n\nfrom .domain_name_url_fetch_flow import domain_name_url_fetch_flow\nfrom .sites_url_fetch_flow import sites_url_fetch_flow\nfrom .utils import calculate_timeout_by_line_count\n\nlogger = logging.getLogger(__name__)\n\n\n# ==================== 工具分类配置 ====================\n# 使用 target_name (domain_name) 作为输入的 URL 获取工具\nDOMAIN_NAME_TOOLS = {'waymore'}\n# 使用 sites_file 作为输入的 URL 获取工具\nSITES_FILE_TOOLS = {'katana'}\n# 后处理工具：不参与获取，用于清理和验证\nPOST_PROCESS_TOOLS = {'uro', 'httpx'}\n\n\ndef _classify_tools(enabled_tools: dict) -> tuple[dict, dict, dict, dict]:\n \"\"\"\n 将启用的工具按输入类型分类\n\n Returns:\n tuple: (domain_name_tools, sites_file_tools, uro_config, httpx_config)\n \"\"\"\n domain_name_tools: dict = {}\n sites_file_tools: dict = {}\n uro_config = None\n httpx_config = None\n\n for tool_name, tool_config in enabled_tools.items():\n if tool_name in DOMAIN_NAME_TOOLS:\n domain_name_tools[tool_name] = tool_config\n elif tool_name in SITES_FILE_TOOLS:\n sites_file_tools[tool_name] = tool_config\n elif tool_name == 'uro':\n uro_config = tool_config\n elif tool_name == 'httpx':\n httpx_config = tool_config\n else:\n logger.warning(\"未知工具类型: %s，跳过\", tool_name)\n\n return domain_name_tools, sites_file_tools, uro_config, httpx_config\n\n\ndef _merge_and_deduplicate_urls(result_files: list, url_fetch_dir: Path) -> tuple[str, int]:\n \"\"\"合并并去重 URL\"\"\"\n from apps.scan.tasks.url_fetch import merge_and_deduplicate_urls_task\n\n merged_file = merge_and_deduplicate_urls_task(\n result_files=result_files,\n result_dir=str(url_fetch_dir)\n )\n\n # 统计唯一 URL 数量\n unique_url_count = 0\n if Path(merged_file).exists():\n with open(merged_file, 'r', encoding='utf-8') as f:\n unique_url_count = sum(1 for line in f if line.strip())\n\n logger.info(\n \"✓ URL 合并去重完成 - 合并文件: %s, 唯一 URL 数: %d\",\n merged_file, unique_url_count\n )\n\n return merged_file, unique_url_count\n\n\ndef _clean_urls_with_uro(\n merged_file: str,\n uro_config: dict,\n url_fetch_dir: Path\n) -> tuple[str, int, int]:\n \"\"\"使用 uro 清理合并后的 URL 列表\"\"\"\n from apps.scan.tasks.url_fetch import clean_urls_task\n\n raw_timeout = uro_config.get('timeout', 60)\n whitelist = uro_config.get('whitelist')\n blacklist = uro_config.get('blacklist')\n filters = uro_config.get('filters')\n\n # 计算超时时间\n if isinstance(raw_timeout, str) and raw_timeout == 'auto':\n timeout = calculate_timeout_by_line_count(\n tool_config=uro_config,\n file_path=merged_file,\n base_per_time=1,\n min_timeout=60,\n )\n logger.info(\"uro 自动计算超时时间(按行数，每行 1 秒，最小 60 秒): %d 秒\", timeout)\n else:\n try:\n timeout = int(raw_timeout)\n except (TypeError, ValueError):\n logger.warning(\"uro timeout 配置无效(%s)，使用默认 60 秒\", raw_timeout)\n timeout = 60\n\n result = clean_urls_task(\n input_file=merged_file,\n output_dir=str(url_fetch_dir),\n timeout=timeout,\n whitelist=whitelist,\n blacklist=blacklist,\n filters=filters\n )\n\n if result['success']:\n return result['output_file'], result['output_count'], result['removed_count']\n\n logger.warning(\"uro 清理失败: %s，使用原始合并文件\", result.get('error', '未知错误'))\n return merged_file, result['input_count'], 0\n\n\ndef _validate_and_stream_save_urls(\n merged_file: str,\n httpx_config: dict,\n url_fetch_dir: Path,\n scan_id: int,\n target_id: int\n) -> int:\n \"\"\"使用 httpx 验证 URL 存活并流式保存到数据库\"\"\"\n from apps.scan.utils import build_scan_command\n from apps.scan.tasks.url_fetch import run_and_stream_save_urls_task\n\n logger.info(\"开始使用 httpx 验证 URL 存活状态...\")\n\n # 统计待验证的 URL 数量\n try:\n with open(merged_file, 'r', encoding='utf-8') as f:\n url_count = sum(1 for _ in f)\n logger.info(\"待验证 URL 数量: %d\", url_count)\n except OSError as e:\n logger.error(\"读取 URL 文件失败: %s\", e)\n return 0\n\n if url_count == 0:\n logger.warning(\"没有需要验证的 URL\")\n return 0\n\n # 构建 httpx 命令\n command_params = {'url_file': merged_file}\n\n try:\n command = build_scan_command(\n tool_name='httpx',\n scan_type='url_fetch',\n command_params=command_params,\n tool_config=httpx_config\n )\n except (ValueError, KeyError) as e:\n logger.error(\"构建 httpx 命令失败: %s\", e)\n logger.warning(\"降级处理：将直接保存所有 URL（不验证存活）\")\n return _save_urls_to_database(merged_file, scan_id, target_id)\n\n # 计算超时时间\n raw_timeout = httpx_config.get('timeout', 'auto')\n if isinstance(raw_timeout, str) and raw_timeout == 'auto':\n # 按 URL 行数计算超时时间：每行 3 秒，最小 60 秒\n timeout = max(60, url_count * 3)\n logger.info(\n \"自动计算 httpx 超时时间(按行数，每行 3 秒，最小 60 秒): url_count=%d, timeout=%d 秒\",\n url_count, timeout\n )\n else:\n try:\n timeout = int(raw_timeout)\n except (TypeError, ValueError):\n timeout = 3600\n logger.info(\"使用配置的 httpx 超时时间: %d 秒\", timeout)\n\n # 生成日志文件路径\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n log_file = url_fetch_dir / f\"httpx_validation_{timestamp}.log\"\n\n # 流式执行\n result = run_and_stream_save_urls_task(\n cmd=command,\n tool_name='httpx',\n scan_id=scan_id,\n target_id=target_id,\n cwd=str(url_fetch_dir),\n shell=True,\n timeout=timeout,\n log_file=str(log_file)\n )\n\n saved = result.get('saved_urls', 0)\n logger.info(\n \"✓ httpx 验证完成 - 存活 URL: %d (%.1f%%)\",\n saved, (saved / url_count * 100) if url_count > 0 else 0\n )\n return saved\n\n\ndef _save_urls_to_database(merged_file: str, scan_id: int, target_id: int) -> int:\n \"\"\"保存 URL 到数据库（不验证存活）\"\"\"\n from apps.scan.tasks.url_fetch import save_urls_task\n\n result = save_urls_task(\n urls_file=merged_file,\n scan_id=scan_id,\n target_id=target_id\n )\n\n saved_count = result.get('saved_urls', 0)\n logger.info(\"✓ URL 保存完成 - 保存数量: %d\", saved_count)\n\n return saved_count\n\n\n@flow(\n name=\"url_fetch\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef url_fetch_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"\n URL 获取主 Flow\n\n 执行流程：\n 1. 准备工作目录\n 2. 按输入类型分类工具（domain_name / sites_file / 后处理）\n 3. 并行执行子 Flow\n - domain_name_url_fetch_flow: 基于 domain_name（来自 target_name）执行 URL 获取（如 waymore）\n - sites_url_fetch_flow: 基于 sites_file 执行爬虫（如 katana 等）\n 4. 合并所有子 Flow 的结果并去重\n 5. uro 去重（如果启用）\n 6. httpx 验证（如果启用）\n\n Args:\n scan_id: 扫描 ID\n target_name: 目标名称\n target_id: 目标 ID\n scan_workspace_dir: 扫描工作目录\n enabled_tools: 启用的工具配置\n\n Returns:\n dict: 扫描结果\n \"\"\"\n try:\n # 负载检查：等待系统资源充足\n wait_for_system_load(context=\"url_fetch_flow\")\n\n logger.info(\n \"开始 URL 获取扫描 - Scan ID: %s, Target: %s, Workspace: %s\",\n scan_id, target_name, scan_workspace_dir\n )\n user_log(scan_id, \"url_fetch\", \"Starting URL fetch\")\n\n # Step 1: 准备工作目录\n from apps.scan.utils import setup_scan_directory\n url_fetch_dir = setup_scan_directory(scan_workspace_dir, 'url_fetch')\n\n # Step 2: 分类工具（按输入类型）\n domain_name_tools, sites_file_tools, uro_config, httpx_config = _classify_tools(enabled_tools)\n\n logger.info(\n \"工具分类 - domain_name: %s, sites_file: %s, uro: %s, httpx: %s\",\n list(domain_name_tools.keys()) or '无',\n list(sites_file_tools.keys()) or '无',\n '启用' if uro_config else '未启用',\n '启用' if httpx_config else '未启用'\n )\n\n # 检查是否有获取工具\n if not domain_name_tools and not sites_file_tools:\n raise ValueError(\n \"URL Fetch 流程需要至少启用一个 URL 获取工具（如 waymore, katana）。\"\n \"httpx 和 uro 仅用于后处理，不能单独使用。\"\n )\n\n # Step 3: 执行子 Flow\n all_result_files = []\n all_failed_tools = []\n all_successful_tools = []\n\n # 3a: 基于 domain_name 的 URL 被动收集（如 waymore）\n if domain_name_tools:\n tn_result = domain_name_url_fetch_flow(\n scan_id=scan_id,\n target_id=target_id,\n target_name=target_name,\n output_dir=str(url_fetch_dir),\n domain_name_tools=domain_name_tools,\n )\n all_result_files.extend(tn_result.get('result_files', []))\n all_failed_tools.extend(tn_result.get('failed_tools', []))\n all_successful_tools.extend(tn_result.get('successful_tools', []))\n\n # 3b: 爬虫（以 sites_file 为输入）\n if sites_file_tools:\n crawl_result = sites_url_fetch_flow(\n scan_id=scan_id,\n target_id=target_id,\n target_name=target_name,\n output_dir=str(url_fetch_dir),\n enabled_tools=sites_file_tools\n )\n all_result_files.extend(crawl_result.get('result_files', []))\n all_failed_tools.extend(crawl_result.get('failed_tools', []))\n all_successful_tools.extend(crawl_result.get('successful_tools', []))\n\n # 检查是否有成功的工具\n if not all_result_files:\n error_details = \"; \".join([\n \"%s: %s\" % (f['tool'], f['reason']) for f in all_failed_tools\n ])\n logger.warning(\"所有 URL 获取工具均失败 - 目标: %s, 失败详情: %s\", target_name, error_details)\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'unique_url_count': 0,\n 'valid_url_count': 0,\n 'failed_tools': all_failed_tools,\n 'successful_tools': [],\n 'message': '所有 URL 获取工具均无结果'\n }\n\n # Step 4: 合并并去重 URL\n merged_file, _ = _merge_and_deduplicate_urls(\n result_files=all_result_files,\n url_fetch_dir=url_fetch_dir\n )\n\n # Step 5: 使用 uro 清理 URL（如果启用）\n url_file_for_validation = merged_file\n if uro_config and uro_config.get('enabled', False):\n url_file_for_validation, _, _ = _clean_urls_with_uro(\n merged_file=merged_file,\n uro_config=uro_config,\n url_fetch_dir=url_fetch_dir\n )\n\n # Step 6: 使用 httpx 验证存活并保存（如果启用）\n if httpx_config and httpx_config.get('enabled', False):\n saved_count = _validate_and_stream_save_urls(\n merged_file=url_file_for_validation,\n httpx_config=httpx_config,\n url_fetch_dir=url_fetch_dir,\n scan_id=scan_id,\n target_id=target_id\n )\n else:\n saved_count = _save_urls_to_database(\n merged_file=url_file_for_validation,\n scan_id=scan_id,\n target_id=target_id\n )\n\n # 记录 Flow 完成\n logger.info(\"✓ URL 获取完成 - 保存 endpoints: %d\", saved_count)\n user_log(scan_id, \"url_fetch\", \"url_fetch completed: found %d endpoints\" % saved_count)\n\n # 构建已执行的任务列表\n executed_tasks = ['setup_directory', 'classify_tools']\n if domain_name_tools:\n executed_tasks.append('domain_name_url_fetch_flow')\n if sites_file_tools:\n executed_tasks.append('sites_url_fetch_flow')\n executed_tasks.append('merge_and_deduplicate')\n if uro_config and uro_config.get('enabled', False):\n executed_tasks.append('uro_clean')\n if httpx_config and httpx_config.get('enabled', False):\n executed_tasks.append('httpx_validation_and_save')\n else:\n executed_tasks.append('save_urls')\n\n return {\n 'success': True,\n 'scan_id': scan_id,\n 'target': target_name,\n 'scan_workspace_dir': scan_workspace_dir,\n 'total': saved_count,\n 'executed_tasks': executed_tasks,\n 'tool_stats': {\n 'total': len(domain_name_tools) + len(sites_file_tools),\n 'successful': len(all_successful_tools),\n 'failed': len(all_failed_tools),\n 'successful_tools': all_successful_tools,\n 'failed_tools': [f['tool'] for f in all_failed_tools]\n }\n }\n\n except Exception as e:\n logger.error(\"URL 获取扫描失败: %s\", e, exc_info=True)\n raise\n" }, { "path": "backend/apps/scan/flows/url_fetch/sites_url_fetch_flow.py", "content": "\"\"\"\nURL 爬虫 Flow\n\n主动爬取网站页面，提取 URL 和 JS 端点\n工具：katana, gospider, hakrawler 等\n输入：sites_file（站点 URL 列表）\n\"\"\"\n\n# Django 环境初始化\nfrom apps.common.prefect_django_setup import setup_django_for_prefect\n\nimport logging\nfrom pathlib import Path\n\nfrom prefect import flow\n\nfrom .utils import run_tools_parallel\n\nlogger = logging.getLogger(__name__)\n\n\ndef _export_sites_file(target_id: int, scan_id: int, target_name: str, output_dir: Path) -> tuple[str, int]:\n \"\"\"\n 导出站点 URL 列表到文件\n \n 懒加载模式：如果 WebSite 表为空，根据 Target 类型生成默认 URL\n \n Args:\n target_id: 目标 ID\n scan_id: 扫描 ID\n target_name: 目标名称（用于懒加载）\n output_dir: 输出目录\n \n Returns:\n tuple: (file_path, count)\n \"\"\"\n from apps.scan.tasks.url_fetch import export_sites_task\n \n output_file = str(output_dir / \"sites.txt\")\n result = export_sites_task(\n output_file=output_file,\n target_id=target_id,\n scan_id=scan_id\n )\n \n count = result['asset_count']\n if count > 0:\n logger.info(\"✓ 站点列表导出完成 - 数量: %d\", count)\n else:\n logger.warning(\"站点列表为空，爬虫可能无法正常工作\")\n \n return output_file, count\n\n\n@flow(name=\"sites_url_fetch_flow\", log_prints=True)\ndef sites_url_fetch_flow(\n scan_id: int,\n target_id: int,\n target_name: str,\n output_dir: str,\n enabled_tools: dict\n) -> dict:\n \"\"\"\n URL 爬虫子 Flow\n \n 执行流程：\n 1. 导出站点 URL 列表（sites_file）\n 2. 并行执行爬虫工具\n 3. 返回结果文件列表\n \n Args:\n scan_id: 扫描 ID\n target_id: 目标 ID\n target_name: 目标名称\n output_dir: 输出目录\n enabled_tools: 启用的爬虫工具配置\n \n Returns:\n dict: {\n 'success': bool,\n 'result_files': list,\n 'failed_tools': list,\n 'successful_tools': list,\n 'sites_count': int\n }\n \"\"\"\n try:\n output_path = Path(output_dir)\n \n logger.info(\n \"开始 URL 爬虫 - Target: %s, Tools: %s\",\n target_name, ', '.join(enabled_tools.keys())\n )\n \n # Step 1: 导出站点 URL 列表\n sites_file, sites_count = _export_sites_file(\n target_id=target_id,\n scan_id=scan_id,\n target_name=target_name,\n output_dir=output_path\n )\n \n # 默认值模式下，即使原本没有站点，也会有默认 URL 作为输入\n if sites_count == 0:\n logger.warning(\"没有可用的站点，跳过爬虫\")\n return {\n 'success': True,\n 'result_files': [],\n 'failed_tools': [],\n 'successful_tools': [],\n 'sites_count': 0\n }\n \n # Step 2: 并行执行爬虫工具\n result_files, failed_tools, successful_tools = run_tools_parallel(\n tools=enabled_tools,\n input_file=sites_file,\n input_type=\"sites_file\",\n output_dir=output_path,\n scan_id=scan_id\n )\n \n logger.info(\n \"✓ 爬虫完成 - 成功: %d/%d, 结果文件: %d\",\n len(successful_tools), len(enabled_tools), len(result_files)\n )\n \n return {\n 'success': True,\n 'result_files': result_files,\n 'failed_tools': failed_tools,\n 'successful_tools': successful_tools,\n 'sites_count': sites_count\n }\n \n except Exception as e:\n logger.error(\"URL 爬虫失败: %s\", e, exc_info=True)\n return {\n 'success': False,\n 'result_files': [],\n 'failed_tools': [{'tool': 'sites_url_fetch_flow', 'reason': str(e)}],\n 'successful_tools': [],\n 'sites_count': 0\n }\n" }, { "path": "backend/apps/scan/flows/url_fetch/utils.py", "content": "\"\"\"\nURL Fetch 共享工具函数\n\"\"\"\n\nimport logging\nimport subprocess\nimport uuid\nfrom datetime import datetime\nfrom pathlib import Path\n\nfrom apps.scan.utils import build_scan_command\n\nlogger = logging.getLogger(__name__)\n\n\ndef calculate_timeout_by_line_count(\n tool_config: dict,\n file_path: str,\n base_per_time: int = 1,\n min_timeout: int = 60,\n) -> int:\n \"\"\"\n 根据文件行数自动计算超时时间\n \n Args:\n tool_config: 工具配置（保留参数，未来可能用于更复杂的计算）\n file_path: 输入文件路径\n base_per_time: 每行的基础时间（秒）\n min_timeout: 最小超时时间（秒），默认60秒\n \n Returns:\n int: 计算出的超时时间（秒），不低于 min_timeout\n \"\"\"\n try:\n result = subprocess.run(\n ['wc', '-l', file_path],\n capture_output=True,\n text=True,\n check=True,\n )\n line_count = int(result.stdout.strip().split()[0])\n timeout = max(line_count * base_per_time, min_timeout)\n logger.info(\n \"timeout 自动计算: 文件=%s, 行数=%d, 每行时间=%d秒, 最小值=%d秒, timeout=%d秒\",\n file_path,\n line_count,\n base_per_time,\n min_timeout,\n timeout,\n )\n return timeout\n except Exception as e:\n logger.warning(\"wc -l 计算行数失败: %s，将使用默认 timeout: %d秒\", e, min_timeout)\n return min_timeout\n\n\ndef prepare_tool_execution(\n tool_name: str,\n tool_config: dict,\n input_file: str,\n input_type: str,\n output_dir: Path,\n scan_type: str = \"url_fetch\"\n) -> dict:\n \"\"\"\n 准备单个工具的执行参数\n \n Args:\n tool_name: 工具名称\n tool_config: 工具配置\n input_file: 输入文件路径\n input_type: 输入类型（domains_file 或 sites_file）\n output_dir: 输出目录\n scan_type: 扫描类型\n \n Returns:\n dict: 执行参数，包含 command, input_file, output_file, timeout\n 或包含 error 键表示失败\n \"\"\"\n # 1. 统计输入文件行数\n try:\n with open(input_file, 'r') as f:\n input_count = sum(1 for _ in f)\n logger.info(\"工具 %s - 输入类型: %s, 数量: %d\", tool_name, input_type, input_count)\n except Exception as e:\n return {\"error\": f\"读取输入文件失败: {e}\"}\n\n # 2. 生成输出文件路径（带时间戳和短 UUID 后缀）\n timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n short_uuid = uuid.uuid4().hex[:4]\n output_file = str(output_dir / f\"{tool_name}_{timestamp}_{short_uuid}.txt\")\n\n # 3. 构建命令\n command_params = {\n input_type: input_file,\n \"output_file\": output_file,\n }\n\n try:\n command = build_scan_command(\n tool_name=tool_name,\n scan_type=scan_type,\n command_params=command_params,\n tool_config=tool_config,\n )\n except Exception as e:\n logger.error(\"构建 %s 命令失败: %s\", tool_name, e)\n return {\"error\": f\"命令构建失败: {e}\"}\n\n # 4. 计算超时时间（支持 auto 和显式整数）\n raw_timeout = tool_config.get(\"timeout\", 3600)\n timeout = 3600\n \n if isinstance(raw_timeout, str) and raw_timeout == \"auto\":\n try:\n # katana / waymore 每个站点需要更长时间\n base_per_time = 360 if tool_name in (\"katana\", \"waymore\") else 1\n timeout = calculate_timeout_by_line_count(\n tool_config=tool_config,\n file_path=input_file,\n base_per_time=base_per_time,\n )\n except Exception as e:\n logger.warning(\n \"工具 %s 自动计算 timeout 失败，将使用默认 3600 秒: %s\",\n tool_name,\n e,\n )\n timeout = 3600\n else:\n try:\n timeout = int(raw_timeout)\n except (TypeError, ValueError):\n logger.warning(\n \"工具 %s 的 timeout 配置无效(%s)，将使用默认 3600 秒\",\n tool_name,\n raw_timeout,\n )\n timeout = 3600\n\n # 5. 返回执行参数\n return {\n \"command\": command,\n \"input_file\": input_file,\n \"input_type\": input_type,\n \"output_file\": output_file,\n \"timeout\": timeout,\n }\n\n\ndef run_tools_parallel(\n tools: dict,\n input_file: str,\n input_type: str,\n output_dir: Path,\n scan_id: int\n) -> tuple[list, list, list]:\n \"\"\"\n 并行执行工具列表\n \n Args:\n tools: 工具配置字典 {tool_name: tool_config}\n input_file: 输入文件路径\n input_type: 输入类型\n output_dir: 输出目录\n scan_id: 扫描任务 ID（用于记录日志）\n \n Returns:\n tuple: (result_files, failed_tools, successful_tool_names)\n \"\"\"\n from apps.scan.tasks.url_fetch import run_url_fetcher_task\n from apps.scan.utils import user_log\n\n futures: dict[str, object] = {}\n failed_tools: list[dict] = []\n\n # 提交所有工具的并行任务\n for tool_name, tool_config in tools.items():\n exec_params = prepare_tool_execution(\n tool_name=tool_name,\n tool_config=tool_config,\n input_file=input_file,\n input_type=input_type,\n output_dir=output_dir,\n )\n\n if \"error\" in exec_params:\n failed_tools.append({\"tool\": tool_name, \"reason\": exec_params[\"error\"]})\n continue\n\n logger.info(\n \"提交任务 - 工具: %s, 输入: %s, 超时: %d秒\",\n tool_name,\n input_type,\n exec_params[\"timeout\"],\n )\n\n # 记录工具开始执行日志\n user_log(scan_id, \"url_fetch\", f\"Running {tool_name}: {exec_params['command']}\")\n\n # 提交并行任务\n future = run_url_fetcher_task.submit(\n tool_name=tool_name,\n command=exec_params[\"command\"],\n timeout=exec_params[\"timeout\"],\n output_file=exec_params[\"output_file\"],\n )\n futures[tool_name] = future\n\n # 收集执行结果\n result_files = []\n for tool_name, future in futures.items():\n try:\n result = future.result()\n if result and result['success']:\n result_files.append(result['output_file'])\n url_count = result['url_count']\n logger.info(\n \"✓ 工具 %s 执行成功 - 发现 URL: %d\",\n tool_name, url_count\n )\n user_log(scan_id, \"url_fetch\", f\"{tool_name} completed: found {url_count} urls\")\n else:\n reason = '未生成结果或无有效URL'\n failed_tools.append({\n 'tool': tool_name,\n 'reason': reason\n })\n logger.warning(\"⚠️ 工具 %s 未生成有效结果\", tool_name)\n user_log(scan_id, \"url_fetch\", f\"{tool_name} failed: {reason}\", \"error\")\n except Exception as e:\n reason = str(e)\n failed_tools.append({\n 'tool': tool_name,\n 'reason': reason\n })\n logger.warning(\"⚠️ 工具 %s 执行失败: %s\", tool_name, e)\n user_log(scan_id, \"url_fetch\", f\"{tool_name} failed: {reason}\", \"error\")\n\n # 计算成功的工具列表\n failed_tool_names = [f['tool'] for f in failed_tools]\n successful_tool_names = [\n name for name in tools.keys()\n if name not in failed_tool_names\n ]\n\n return result_files, failed_tools, successful_tool_names\n" }, { "path": "backend/apps/scan/flows/vuln_scan/__init__.py", "content": "\"\"\"vuln_scan Flow 模块\n\n包含漏洞扫描相关的 Flow：\n- vuln_scan_flow: 主 Flow（编排各类漏洞扫描子 Flow）\n- endpoints_vuln_scan_flow: 基于 endpoints_file 的漏洞扫描子 Flow（Dalfox 等）\n\"\"\"\n\nfrom .main_flow import vuln_scan_flow\nfrom .endpoints_vuln_scan_flow import endpoints_vuln_scan_flow\n\n__all__ = [\n \"vuln_scan_flow\",\n \"endpoints_vuln_scan_flow\",\n]\n" }, { "path": "backend/apps/scan/flows/vuln_scan/endpoints_vuln_scan_flow.py", "content": "from apps.common.prefect_django_setup import setup_django_for_prefect\n\nimport logging\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Dict\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_running,\n on_scan_flow_completed,\n on_scan_flow_failed,\n)\nfrom apps.scan.utils import build_scan_command, ensure_nuclei_templates_local, user_log\nfrom apps.scan.tasks.vuln_scan import (\n export_endpoints_task,\n run_vuln_tool_task,\n run_and_stream_save_dalfox_vulns_task,\n run_and_stream_save_nuclei_vulns_task,\n)\nfrom .utils import calculate_timeout_by_line_count\n\n\nlogger = logging.getLogger(__name__)\n\n\n\n\n\n@flow(\n name=\"endpoints_vuln_scan_flow\",\n log_prints=True,\n)\ndef endpoints_vuln_scan_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: Dict[str, dict],\n) -> dict:\n \"\"\"基于 Endpoint 的漏洞扫描 Flow（串行执行 Dalfox 等工具）。\"\"\"\n try:\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if not target_name:\n raise ValueError(\"target_name 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n if not enabled_tools:\n raise ValueError(\"enabled_tools 不能为空\")\n\n from apps.scan.utils import setup_scan_directory\n vuln_scan_dir = setup_scan_directory(scan_workspace_dir, 'vuln_scan')\n endpoints_file = vuln_scan_dir / \"input_endpoints.txt\"\n\n # Step 1: 导出 Endpoint URL\n export_result = export_endpoints_task(\n target_id=target_id,\n output_file=str(endpoints_file),\n )\n total_endpoints = export_result.get(\"total_count\", 0)\n\n if total_endpoints == 0 or not endpoints_file.exists() or endpoints_file.stat().st_size == 0:\n logger.warning(\"目标下没有可用 Endpoint，跳过漏洞扫描\")\n return {\n \"success\": True,\n \"scan_id\": scan_id,\n \"target\": target_name,\n \"scan_workspace_dir\": scan_workspace_dir,\n \"endpoints_file\": str(endpoints_file),\n \"endpoint_count\": 0,\n \"executed_tools\": [],\n \"tool_results\": {},\n }\n\n logger.info(\"Endpoint 导出完成，共 %d 条，开始执行漏洞扫描\", total_endpoints)\n\n tool_results: Dict[str, dict] = {}\n\n # Step 2: 并行执行每个漏洞扫描工具（目前主要是 Dalfox）\n # 1）先为每个工具 submit Prefect Task，让 Worker 并行调度\n # 2）再统一收集各自的结果，组装成 tool_results\n tool_futures: Dict[str, dict] = {}\n\n for tool_name, tool_config in enabled_tools.items():\n # Nuclei 需要先确保本地模板存在（支持多个模板仓库）\n template_args = \"\"\n if tool_name == \"nuclei\":\n repo_names = tool_config.get(\"template_repo_names\")\n if not repo_names or not isinstance(repo_names, (list, tuple)):\n logger.error(\"Nuclei 配置缺少 template_repo_names（数组），跳过\")\n continue\n template_paths = []\n try:\n for repo_name in repo_names:\n path = ensure_nuclei_templates_local(repo_name)\n template_paths.append(path)\n logger.info(\"Nuclei 模板路径 [%s]: %s\", repo_name, path)\n except Exception as e:\n logger.error(\"获取 Nuclei 模板失败: %s，跳过 nuclei 扫描\", e)\n continue\n template_args = \" \".join(f\"-t {p}\" for p in template_paths)\n\n # 构建命令参数\n command_params = {\"endpoints_file\": str(endpoints_file)}\n if template_args:\n command_params[\"template_args\"] = template_args\n\n command = build_scan_command(\n tool_name=tool_name,\n scan_type=\"vuln_scan\",\n command_params=command_params,\n tool_config=tool_config,\n )\n\n raw_timeout = tool_config.get(\"timeout\", 600)\n\n if isinstance(raw_timeout, str) and raw_timeout == \"auto\":\n # timeout=auto 时，根据 endpoints_file 行数自动计算超时时间\n # Dalfox: 每行 100 秒，Nuclei: 每行 30 秒\n base_per_time = 30 if tool_name == \"nuclei\" else 100\n timeout = calculate_timeout_by_line_count(\n tool_config=tool_config,\n file_path=str(endpoints_file),\n base_per_time=base_per_time,\n )\n else:\n try:\n timeout = int(raw_timeout)\n except (TypeError, ValueError) as e:\n raise ValueError(\n f\"工具 {tool_name} 的 timeout 配置无效: {raw_timeout!r}\"\n ) from e\n\n timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n log_file = vuln_scan_dir / f\"{tool_name}_{timestamp}.log\"\n\n # Dalfox XSS 使用流式任务，一边解析一边保存漏洞结果\n if tool_name == \"dalfox_xss\":\n logger.info(\"开始执行漏洞扫描工具 %s（流式保存漏洞结果，已提交任务）\", tool_name)\n user_log(scan_id, \"vuln_scan\", f\"Running {tool_name}: {command}\")\n future = run_and_stream_save_dalfox_vulns_task.submit(\n cmd=command,\n tool_name=tool_name,\n scan_id=scan_id,\n target_id=target_id,\n cwd=str(vuln_scan_dir),\n shell=True,\n batch_size=1,\n timeout=timeout,\n log_file=str(log_file),\n )\n\n tool_futures[tool_name] = {\n \"future\": future,\n \"command\": command,\n \"timeout\": timeout,\n \"log_file\": str(log_file),\n \"mode\": \"streaming\",\n }\n elif tool_name == \"nuclei\":\n # Nuclei 使用流式任务\n logger.info(\"开始执行漏洞扫描工具 %s（流式保存漏洞结果，已提交任务）\", tool_name)\n user_log(scan_id, \"vuln_scan\", f\"Running {tool_name}: {command}\")\n future = run_and_stream_save_nuclei_vulns_task.submit(\n cmd=command,\n tool_name=tool_name,\n scan_id=scan_id,\n target_id=target_id,\n cwd=str(vuln_scan_dir),\n shell=True,\n batch_size=1,\n timeout=timeout,\n log_file=str(log_file),\n )\n\n tool_futures[tool_name] = {\n \"future\": future,\n \"command\": command,\n \"timeout\": timeout,\n \"log_file\": str(log_file),\n \"mode\": \"streaming\",\n }\n else:\n # 其他工具仍使用非流式执行逻辑\n logger.info(\"开始执行漏洞扫描工具 %s（已提交任务）\", tool_name)\n user_log(scan_id, \"vuln_scan\", f\"Running {tool_name}: {command}\")\n future = run_vuln_tool_task.submit(\n tool_name=tool_name,\n command=command,\n timeout=timeout,\n log_file=str(log_file),\n )\n\n tool_futures[tool_name] = {\n \"future\": future,\n \"command\": command,\n \"timeout\": timeout,\n \"log_file\": str(log_file),\n \"mode\": \"normal\",\n }\n\n # 统一收集所有工具的执行结果\n for tool_name, meta in tool_futures.items():\n future = meta[\"future\"]\n try:\n result = future.result()\n\n if meta[\"mode\"] == \"streaming\":\n created_vulns = result.get(\"created_vulns\", 0)\n tool_results[tool_name] = {\n \"command\": meta[\"command\"],\n \"timeout\": meta[\"timeout\"],\n \"processed_records\": result.get(\"processed_records\"),\n \"created_vulns\": created_vulns,\n \"command_log_file\": meta[\"log_file\"],\n }\n logger.info(\"✓ 工具 %s 执行完成 - 漏洞: %d\", tool_name, created_vulns)\n user_log(scan_id, \"vuln_scan\", f\"{tool_name} completed: found {created_vulns} vulnerabilities\")\n else:\n tool_results[tool_name] = {\n \"command\": meta[\"command\"],\n \"timeout\": meta[\"timeout\"],\n \"duration\": result.get(\"duration\"),\n \"returncode\": result.get(\"returncode\"),\n \"command_log_file\": result.get(\"command_log_file\"),\n }\n logger.info(\"✓ 工具 %s 执行完成 - returncode=%s\", tool_name, result.get(\"returncode\"))\n user_log(scan_id, \"vuln_scan\", f\"{tool_name} completed\")\n except Exception as e:\n reason = str(e)\n logger.error(\"工具 %s 执行失败: %s\", tool_name, e, exc_info=True)\n user_log(scan_id, \"vuln_scan\", f\"{tool_name} failed: {reason}\", \"error\")\n\n return {\n \"success\": True,\n \"scan_id\": scan_id,\n \"target\": target_name,\n \"scan_workspace_dir\": scan_workspace_dir,\n \"endpoints_file\": str(endpoints_file),\n \"endpoint_count\": total_endpoints,\n \"executed_tools\": list(enabled_tools.keys()),\n \"tool_results\": tool_results,\n }\n\n except Exception as e:\n logger.exception(\"Endpoint 漏洞扫描失败: %s\", e)\n raise\n" }, { "path": "backend/apps/scan/flows/vuln_scan/main_flow.py", "content": "\"\"\"\n漏洞扫描主 Flow\n\"\"\"\nimport logging\nfrom typing import Dict, Tuple\n\nfrom prefect import flow\n\nfrom apps.scan.handlers.scan_flow_handlers import (\n on_scan_flow_running,\n on_scan_flow_completed,\n on_scan_flow_failed,\n)\nfrom apps.scan.configs.command_templates import get_command_template\nfrom apps.scan.utils import user_log, wait_for_system_load\nfrom .endpoints_vuln_scan_flow import endpoints_vuln_scan_flow\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef _classify_vuln_tools(enabled_tools: Dict[str, dict]) -> Tuple[Dict[str, dict], Dict[str, dict]]:\n \"\"\"根据命令模板中的 input_type 对漏洞扫描工具进行分类。\n\n 当前支持：\n - endpoints_file: 以端点列表文件为输入（例如 Dalfox XSS）\n 预留：\n - 其他 input_type 将被归类到 other_tools，暂不处理。\n \"\"\"\n endpoints_tools: Dict[str, dict] = {}\n other_tools: Dict[str, dict] = {}\n\n for tool_name, tool_config in enabled_tools.items():\n template = get_command_template(\"vuln_scan\", tool_name) or {}\n input_type = template.get(\"input_type\", \"endpoints_file\")\n\n if input_type == \"endpoints_file\":\n endpoints_tools[tool_name] = tool_config\n else:\n other_tools[tool_name] = tool_config\n\n return endpoints_tools, other_tools\n\n\n@flow(\n name=\"vuln_scan\",\n log_prints=True,\n on_running=[on_scan_flow_running],\n on_completion=[on_scan_flow_completed],\n on_failure=[on_scan_flow_failed],\n)\ndef vuln_scan_flow(\n scan_id: int,\n target_name: str,\n target_id: int,\n scan_workspace_dir: str,\n enabled_tools: Dict[str, dict],\n) -> dict:\n \"\"\"漏洞扫描主 Flow：串行编排各类漏洞扫描子 Flow。\n\n 支持工具：\n - dalfox_xss: XSS 漏洞扫描（流式保存）\n - nuclei: 通用漏洞扫描（流式保存，支持模板 commit hash 同步）\n \"\"\"\n try:\n # 负载检查：等待系统资源充足\n wait_for_system_load(context=\"vuln_scan_flow\")\n\n if scan_id is None:\n raise ValueError(\"scan_id 不能为空\")\n if not target_name:\n raise ValueError(\"target_name 不能为空\")\n if target_id is None:\n raise ValueError(\"target_id 不能为空\")\n if not scan_workspace_dir:\n raise ValueError(\"scan_workspace_dir 不能为空\")\n if not enabled_tools:\n raise ValueError(\"enabled_tools 不能为空\")\n\n logger.info(\"开始漏洞扫描 - Scan ID: %s, Target: %s\", scan_id, target_name)\n user_log(scan_id, \"vuln_scan\", \"Starting vulnerability scan\")\n\n # Step 1: 分类工具\n endpoints_tools, other_tools = _classify_vuln_tools(enabled_tools)\n\n logger.info(\n \"漏洞扫描工具分类 - endpoints_file: %s, 其他: %s\",\n list(endpoints_tools.keys()) or \"无\",\n list(other_tools.keys()) or \"无\",\n )\n\n if other_tools:\n logger.warning(\n \"存在暂不支持输入类型的漏洞扫描工具，将被忽略: %s\",\n list(other_tools.keys()),\n )\n\n if not endpoints_tools:\n raise ValueError(\"漏洞扫描需要至少启用一个以 endpoints_file 为输入的工具（如 dalfox_xss、nuclei）。\")\n\n # Step 2: 执行 Endpoint 漏洞扫描子 Flow（串行）\n endpoint_result = endpoints_vuln_scan_flow(\n scan_id=scan_id,\n target_name=target_name,\n target_id=target_id,\n scan_workspace_dir=scan_workspace_dir,\n enabled_tools=endpoints_tools,\n )\n\n # 记录 Flow 完成\n total_vulns = sum(\n r.get(\"created_vulns\", 0) \n for r in endpoint_result.get(\"tool_results\", {}).values()\n )\n logger.info(\"✓ 漏洞扫描完成 - 新增漏洞: %d\", total_vulns)\n user_log(scan_id, \"vuln_scan\", f\"vuln_scan completed: found {total_vulns} vulnerabilities\")\n\n # 目前只有一个子 Flow，直接返回其结果\n return endpoint_result\n\n except Exception as e:\n logger.exception(\"漏洞扫描主 Flow 失败: %s\", e)\n raise\n" }, { "path": "backend/apps/scan/flows/vuln_scan/utils.py", "content": "\"\"\"\nVuln Scan 共享工具函数\n\"\"\"\n\nimport logging\nimport subprocess\n\nlogger = logging.getLogger(__name__)\n\n\ndef calculate_timeout_by_line_count(\n tool_config: dict,\n file_path: str,\n base_per_time: int = 1,\n min_timeout: int = 600,\n) -> int:\n \"\"\"\n 根据文件行数自动计算超时时间\n\n Args:\n tool_config: 工具配置（保留参数，未来可能用于更复杂的计算）\n file_path: 输入文件路径\n base_per_time: 每行的基础时间（秒）\n min_timeout: 最小超时时间（秒），默认600秒（10分钟）\n\n Returns:\n int: 计算出的超时时间（秒），不低于 min_timeout\n \"\"\"\n try:\n result = subprocess.run(\n [\"wc\", \"-l\", file_path],\n capture_output=True,\n text=True,\n check=True,\n )\n line_count = int(result.stdout.strip().split()[0])\n timeout = max(line_count * base_per_time, min_timeout)\n logger.info(\n \"timeout 自动计算: 文件=%s, 行数=%d, 每行时间=%d秒, 最小值=%d秒, timeout=%d秒\",\n file_path,\n line_count,\n base_per_time,\n min_timeout,\n timeout,\n )\n return timeout\n except Exception as e:\n logger.warning(\"wc -l 计算行数失败: %s，使用最小超时: %d秒\", e, min_timeout)\n return min_timeout\n" }, { "path": "backend/apps/scan/handlers/__init__.py", "content": "\"\"\"Prefect Flow 状态处理器\n\n当前架构使用 Docker + SSH 执行任务，不使用 Prefect Server。\ndocker stop 会触发 on_failure 处理器。\n\"\"\"\n\nfrom .initiate_scan_flow_handlers import (\n on_initiate_scan_flow_running,\n on_initiate_scan_flow_completed,\n on_initiate_scan_flow_failed,\n)\n\nfrom .scan_flow_handlers import (\n on_scan_flow_running,\n on_scan_flow_completed,\n on_scan_flow_failed,\n)\n\n__all__ = [\n # 初始化扫描流程处理器\n 'on_initiate_scan_flow_running',\n 'on_initiate_scan_flow_completed',\n 'on_initiate_scan_flow_failed',\n # 通用扫描流程处理器\n 'on_scan_flow_running',\n 'on_scan_flow_completed',\n 'on_scan_flow_failed',\n]\n" }, { "path": "backend/apps/scan/handlers/initiate_scan_flow_handlers.py", "content": "\"\"\"\ninitiate_scan_flow 状态处理器\n\n负责 initiate_scan_flow 生命周期的状态同步：\n- on_running: Flow 开始运行时更新扫描状态为 RUNNING\n- on_completion: Flow 成功完成时更新扫描状态为 COMPLETED\n- on_failure: Flow 失败时更新扫描状态为 FAILED（包括超时、异常、docker stop 等）\n\n策略：快速失败（Fail-Fast）\n- 任何子任务失败都会导致 Flow 失败\n- Flow 成功 = 所有任务成功\n\"\"\"\n\nimport logging\nfrom prefect import Flow\nfrom prefect.client.schemas import FlowRun, State\n\nlogger = logging.getLogger(__name__)\n\n\n\ndef on_initiate_scan_flow_running(flow: Flow, flow_run: FlowRun, state: State) -> None:\n \"\"\"\n initiate_scan_flow 开始运行时的回调\n \n 职责：更新 Scan 状态为 RUNNING + 发送通知\n \n 触发时机：\n - Prefect Flow 状态变为 Running 时自动触发\n - 在 Flow 函数体执行之前调用\n \n Args:\n flow: Prefect Flow 对象\n flow_run: Flow 运行实例\n state: Flow 当前状态\n \"\"\"\n logger.info(\"🚀 initiate_scan_flow_running 回调开始运行 - Flow Run: %s\", flow_run.id)\n \n scan_id = flow_run.parameters.get('scan_id')\n target_name = flow_run.parameters.get('target_name')\n engine_name = flow_run.parameters.get('engine_name')\n scheduled_scan_name = flow_run.parameters.get('scheduled_scan_name')\n \n if not scan_id:\n logger.warning(\n \"Flow 参数中缺少 scan_id，跳过状态更新 - Flow Run: %s\",\n flow_run.id\n )\n return\n \n def _update_running_status():\n from apps.scan.services import ScanService\n from apps.common.definitions import ScanStatus\n \n service = ScanService()\n success = service.update_status(\n scan_id, \n ScanStatus.RUNNING\n )\n \n if success:\n logger.info(\n \"✓ Flow 状态回调：扫描状态已更新为 RUNNING - Scan ID: %s, Flow Run: %s\",\n scan_id,\n flow_run.id\n )\n else:\n logger.error(\n \"✗ Flow 状态回调：更新扫描状态失败 - Scan ID: %s\",\n scan_id\n )\n return success\n \n # 执行状态更新（Repository 层已有 @auto_ensure_db_connection 保证连接可靠性）\n _update_running_status()\n \n # 发送通知\n logger.info(\"准备发送扫描开始通知 - Scan ID: %s, Target: %s\", scan_id, target_name)\n try:\n from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory\n \n # 根据是否为定时扫描构建不同的标题和消息\n if scheduled_scan_name:\n title = f\"⏰ {target_name} 扫描开始\"\n message = f\"定时任务：{scheduled_scan_name}\\n引擎：{engine_name}\"\n else:\n title = f\"{target_name} 扫描开始\"\n message = f\"引擎：{engine_name}\"\n \n create_notification(\n title=title,\n message=message,\n level=NotificationLevel.MEDIUM,\n category=NotificationCategory.SCAN\n )\n logger.info(\"✓ 扫描开始通知已发送 - Scan ID: %s, Target: %s\", scan_id, target_name)\n except Exception as e:\n logger.error(f\"发送扫描开始通知失败 - Scan ID: {scan_id}: {e}\", exc_info=True)\n\n\ndef on_initiate_scan_flow_completed(flow: Flow, flow_run: FlowRun, state: State) -> None:\n \"\"\"\n initiate_scan_flow 成功完成时的回调\n \n 职责：更新 Scan 状态为 COMPLETED\n \n 触发时机：\n - Prefect Flow 正常执行完成时自动触发\n - 在 Flow 函数体返回之后调用\n \n 策略：快速失败（Fail-Fast）\n - Flow 成功完成 = 所有任务成功 → COMPLETED\n - Flow 执行失败 = 有任务失败 → FAILED (由 on_failed 处理)\n \n 竞态条件处理：\n - 如果用户已手动取消（状态已是 CANCELLED），保持终态，不覆盖\n \n Args:\n flow: Prefect Flow 对象\n flow_run: Flow 运行实例\n state: Flow 当前状态\n \"\"\"\n logger.info(\"✅ initiate_scan_flow_completed 回调开始运行 - Flow Run: %s\", flow_run.id)\n \n scan_id = flow_run.parameters.get('scan_id')\n target_name = flow_run.parameters.get('target_name')\n engine_name = flow_run.parameters.get('engine_name')\n \n if not scan_id:\n return\n \n def _update_completed_status():\n from apps.scan.services import ScanService\n from apps.common.definitions import ScanStatus\n from django.utils import timezone\n \n service = ScanService()\n \n # 仅在运行中时更新为 COMPLETED；其他状态保持不变\n completed_updated = service.update_status_if_match(\n scan_id=scan_id,\n current_status=ScanStatus.RUNNING,\n new_status=ScanStatus.COMPLETED,\n stopped_at=timezone.now()\n )\n \n if completed_updated:\n logger.info(\n \"✓ Flow 状态回调：扫描状态已原子更新为 COMPLETED - Scan ID: %s, Flow Run: %s\",\n scan_id,\n flow_run.id\n )\n return service.update_cached_stats(scan_id)\n else:\n logger.info(\n \"ℹ️ Flow 状态回调：状态未更新（可能已是终态）- Scan ID: %s, Flow Run: %s\",\n scan_id,\n flow_run.id\n )\n return None\n \n # 执行状态更新并获取统计数据\n stats = _update_completed_status()\n \n # 注意：物化视图刷新已迁移到 pg_ivm 增量维护，无需手动标记刷新\n \n # 发送通知（包含统计摘要）\n logger.info(\"准备发送扫描完成通知 - Scan ID: %s, Target: %s\", scan_id, target_name)\n try:\n from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory\n \n # 构建通知消息\n message = f\"引擎：{engine_name}\"\n if stats:\n results = []\n results.append(f\"子域名: {stats.get('subdomains', 0)}\")\n results.append(f\"站点: {stats.get('websites', 0)}\")\n results.append(f\"IP: {stats.get('ips', 0)}\")\n results.append(f\"端点: {stats.get('endpoints', 0)}\")\n results.append(f\"目录: {stats.get('directories', 0)}\")\n vulns_total = stats.get('vulns_total', 0)\n if vulns_total > 0:\n results.append(f\"漏洞: {vulns_total} (严重:{stats.get('vulns_critical', 0)} 高:{stats.get('vulns_high', 0)} 中:{stats.get('vulns_medium', 0)} 低:{stats.get('vulns_low', 0)})\")\n else:\n results.append(\"漏洞: 0\")\n message += f\"\\n结果：{' | '.join(results)}\"\n \n create_notification(\n title=f\"{target_name} 扫描完成\",\n message=message,\n level=NotificationLevel.MEDIUM,\n category=NotificationCategory.SCAN\n )\n logger.info(\"✓ 扫描完成通知已发送 - Scan ID: %s, Target: %s\", scan_id, target_name)\n except Exception as e:\n logger.error(f\"发送扫描完成通知失败 - Scan ID: {scan_id}: {e}\", exc_info=True)\n\n\ndef on_initiate_scan_flow_failed(flow: Flow, flow_run: FlowRun, state: State) -> None:\n \"\"\"\n initiate_scan_flow 失败时的回调\n \n 职责：更新 Scan 状态为 FAILED，并记录错误信息\n \n 触发时机：\n - Prefect Flow 执行失败或抛出异常时自动触发\n - Flow 超时、任务失败等所有失败场景都会触发此回调\n \n 竞态条件处理：\n - 如果用户已手动取消（状态已是 CANCELLED），保持终态，不覆盖\n \n Args:\n flow: Prefect Flow 对象\n flow_run: Flow 运行实例\n state: Flow 当前状态（包含错误信息）\n \"\"\"\n logger.info(\"❌ initiate_scan_flow_failed 回调开始运行 - Flow Run: %s\", flow_run.id)\n \n scan_id = flow_run.parameters.get('scan_id')\n target_name = flow_run.parameters.get('target_name')\n engine_name = flow_run.parameters.get('engine_name')\n \n if not scan_id:\n return\n \n def _update_failed_status():\n from apps.scan.services import ScanService\n from apps.common.definitions import ScanStatus\n from django.utils import timezone\n \n service = ScanService()\n \n # 提取错误信息\n error_message = str(state.message) if state.message else \"Flow 执行失败\"\n \n # 仅在运行中时更新为 FAILED；其他状态保持不变\n failed_updated = service.update_status_if_match(\n scan_id=scan_id,\n current_status=ScanStatus.RUNNING,\n new_status=ScanStatus.FAILED,\n stopped_at=timezone.now()\n )\n \n if failed_updated:\n # 成功更新（正常失败流程）\n logger.error(\n \"✗ Flow 状态回调：扫描状态已原子更新为 FAILED - Scan ID: %s, Flow Run: %s, 错误: %s\",\n scan_id,\n flow_run.id,\n error_message\n )\n # 更新缓存统计数据（终态）\n service.update_cached_stats(scan_id)\n else:\n logger.warning(\n \"⚠️ Flow 状态回调：未更新任何记录（可能已被其他进程处理）- Scan ID: %s, Flow Run: %s\",\n scan_id,\n flow_run.id\n )\n return True\n \n # 执行状态更新\n _update_failed_status()\n \n # 发送通知\n logger.info(\"准备发送扫描失败通知 - Scan ID: %s, Target: %s\", scan_id, target_name)\n try:\n from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory\n error_message = str(state.message) if state.message else \"未知错误\"\n message = f\"引擎：{engine_name}\\n错误：{error_message}\"\n create_notification(\n title=f\"{target_name} 扫描失败\",\n message=message,\n level=NotificationLevel.HIGH,\n category=NotificationCategory.SCAN\n )\n logger.info(\"✓ 扫描失败通知已发送 - Scan ID: %s, Target: %s\", scan_id, target_name)\n except Exception as e:\n logger.error(f\"发送扫描失败通知失败 - Scan ID: {scan_id}: {e}\", exc_info=True)\n" }, { "path": "backend/apps/scan/handlers/scan_flow_handlers.py", "content": "\"\"\"\n扫描流程处理器\n\n负责处理扫描流程（端口扫描、子域名发现等）的状态变化和通知\n\n职责：\n- 更新各阶段的进度状态（running/completed/failed）\n- 发送扫描阶段的通知\n- 记录 Flow 性能指标\n\"\"\"\n\nimport logging\nfrom prefect import Flow\nfrom prefect.client.schemas import FlowRun, State\n\nfrom apps.scan.utils.performance import FlowPerformanceTracker\nfrom apps.scan.utils import user_log\n\nlogger = logging.getLogger(__name__)\n\n# 存储每个 flow_run 的性能追踪器\n_flow_trackers: dict[str, FlowPerformanceTracker] = {}\n\n\ndef _get_stage_from_flow_name(flow_name: str) -> str | None:\n \"\"\"\n 从 Flow name 获取对应的 stage\n \n Flow name 直接作为 stage（与 engine_config 的 key 一致）\n 排除主 Flow（initiate_scan）\n \"\"\"\n # 排除主 Flow，它不是阶段 Flow\n if flow_name == 'initiate_scan':\n return None\n return flow_name\n\n\ndef on_scan_flow_running(flow: Flow, flow_run: FlowRun, state: State) -> None:\n \"\"\"\n 扫描流程开始运行时的回调\n \n 职责：\n - 更新阶段进度为 running\n - 发送扫描开始通知\n - 启动性能追踪\n \n Args:\n flow: Prefect Flow 对象\n flow_run: Flow 运行实例\n state: Flow 当前状态\n \"\"\"\n logger.info(\"🚀 扫描流程开始运行 - Flow: %s, Run ID: %s\", flow.name, flow_run.id)\n \n # 提取流程参数\n flow_params = flow_run.parameters or {}\n scan_id = flow_params.get('scan_id')\n target_name = flow_params.get('target_name', 'unknown')\n target_id = flow_params.get('target_id')\n \n # 启动性能追踪\n if scan_id:\n tracker = FlowPerformanceTracker(flow.name, scan_id)\n tracker.start(target_id=target_id, target_name=target_name)\n _flow_trackers[str(flow_run.id)] = tracker\n \n # 更新阶段进度\n stage = _get_stage_from_flow_name(flow.name)\n if scan_id and stage:\n try:\n from apps.scan.services import ScanService\n service = ScanService()\n service.start_stage(scan_id, stage)\n logger.info(f\"✓ 阶段进度已更新为 running - Scan ID: {scan_id}, Stage: {stage}\")\n except Exception as e:\n logger.error(f\"更新阶段进度失败 - Scan ID: {scan_id}, Stage: {stage}: {e}\")\n\n\ndef on_scan_flow_completed(flow: Flow, flow_run: FlowRun, state: State) -> None:\n \"\"\"\n 扫描流程完成时的回调\n \n 职责：\n - 更新阶段进度为 completed\n - 发送扫描完成通知（可选）\n - 记录性能指标\n \n Args:\n flow: Prefect Flow 对象\n flow_run: Flow 运行实例\n state: Flow 当前状态\n \"\"\"\n logger.info(\"✅ 扫描流程完成 - Flow: %s, Run ID: %s\", flow.name, flow_run.id)\n \n # 提取流程参数\n flow_params = flow_run.parameters or {}\n scan_id = flow_params.get('scan_id')\n \n # 获取 flow result\n result = None\n try:\n result = state.result() if state.result else None\n except Exception:\n pass\n \n # 记录性能指标\n tracker = _flow_trackers.pop(str(flow_run.id), None)\n if tracker:\n tracker.finish(success=True)\n \n # 更新阶段进度\n stage = _get_stage_from_flow_name(flow.name)\n if scan_id and stage:\n try:\n from apps.scan.services import ScanService\n service = ScanService()\n # 从 flow result 中提取 detail（如果有）\n detail = None\n if isinstance(result, dict):\n detail = result.get('detail')\n service.complete_stage(scan_id, stage, detail)\n logger.info(f\"✓ 阶段进度已更新为 completed - Scan ID: {scan_id}, Stage: {stage}\")\n # 每个阶段完成后刷新缓存统计，便于前端实时看到增量\n try:\n service.update_cached_stats(scan_id)\n logger.info(\"✓ 阶段完成后已刷新缓存统计 - Scan ID: %s\", scan_id)\n except Exception as e:\n logger.error(\"阶段完成后刷新缓存统计失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n except Exception as e:\n logger.error(f\"更新阶段进度失败 - Scan ID: {scan_id}, Stage: {stage}: {e}\")\n\n\ndef on_scan_flow_failed(flow: Flow, flow_run: FlowRun, state: State) -> None:\n \"\"\"\n 扫描流程失败时的回调\n \n 职责：\n - 更新阶段进度为 failed\n - 发送扫描失败通知\n - 记录性能指标（含错误信息）\n - 写入 ScanLog 供前端显示\n \n Args:\n flow: Prefect Flow 对象\n flow_run: Flow 运行实例\n state: Flow 当前状态\n \"\"\"\n logger.info(\"❌ 扫描流程失败 - Flow: %s, Run ID: %s\", flow.name, flow_run.id)\n \n # 提取流程参数\n flow_params = flow_run.parameters or {}\n scan_id = flow_params.get('scan_id')\n target_name = flow_params.get('target_name', 'unknown')\n \n # 提取错误信息\n error_message = str(state.message) if state.message else \"未知错误\"\n \n # 写入 ScanLog 供前端显示\n stage = _get_stage_from_flow_name(flow.name)\n if scan_id and stage:\n user_log(scan_id, stage, f\"Failed: {error_message}\", \"error\")\n \n # 记录性能指标（失败情况）\n tracker = _flow_trackers.pop(str(flow_run.id), None)\n if tracker:\n tracker.finish(success=False, error_message=error_message)\n \n # 更新阶段进度\n stage = _get_stage_from_flow_name(flow.name)\n if scan_id and stage:\n try:\n from apps.scan.services import ScanService\n service = ScanService()\n service.fail_stage(scan_id, stage, error_message)\n logger.info(f\"✓ 阶段进度已更新为 failed - Scan ID: {scan_id}, Stage: {stage}\")\n except Exception as e:\n logger.error(f\"更新阶段进度失败 - Scan ID: {scan_id}, Stage: {stage}: {e}\")\n \n # 发送通知\n try:\n from apps.scan.notifications import create_notification, NotificationLevel\n message = f\"任务：{flow.name}\\n状态：执行失败\\n错误：{error_message}\"\n create_notification(\n title=target_name,\n message=message,\n level=NotificationLevel.HIGH\n )\n logger.error(f\"✓ 扫描失败通知已发送 - Target: {target_name}, Flow: {flow.name}, Error: {error_message}\")\n except Exception as e:\n logger.error(f\"发送扫描失败通知失败 - Flow: {flow.name}: {e}\")\n" }, { "path": "backend/apps/scan/management/__init__.py", "content": "" }, { "path": "backend/apps/scan/migrations/0001_initial.py", "content": "# Generated by Django 5.2.7 on 2026-01-06 00:55\n\nimport django.contrib.postgres.fields\nimport django.db.models.deletion\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ('engine', '0001_initial'),\n ('targets', '0001_initial'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='NotificationSettings',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('discord_enabled', models.BooleanField(default=False, help_text='是否启用 Discord 通知')),\n ('discord_webhook_url', models.URLField(blank=True, default='', help_text='Discord Webhook URL')),\n ('categories', models.JSONField(default=dict, help_text='各分类通知开关，如 {\"scan\": true, \"vulnerability\": true, \"asset\": true, \"system\": false}')),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ('updated_at', models.DateTimeField(auto_now=True)),\n ],\n options={\n 'verbose_name': '通知设置',\n 'verbose_name_plural': '通知设置',\n 'db_table': 'notification_settings',\n },\n ),\n migrations.CreateModel(\n name='SubfinderProviderSettings',\n fields=[\n ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('providers', models.JSONField(default=dict, help_text='各 Provider 的 API Key 配置')),\n ('created_at', models.DateTimeField(auto_now_add=True)),\n ('updated_at', models.DateTimeField(auto_now=True)),\n ],\n options={\n 'verbose_name': 'Subfinder Provider 配置',\n 'verbose_name_plural': 'Subfinder Provider 配置',\n 'db_table': 'subfinder_provider_settings',\n },\n ),\n migrations.CreateModel(\n name='Notification',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('category', models.CharField(choices=[('scan', '扫描任务'), ('vulnerability', '漏洞发现'), ('asset', '资产发现'), ('system', '系统消息')], db_index=True, default='system', help_text='通知分类', max_length=20)),\n ('level', models.CharField(choices=[('low', '低'), ('medium', '中'), ('high', '高'), ('critical', '严重')], db_index=True, default='low', help_text='通知级别', max_length=20)),\n ('title', models.CharField(help_text='通知标题', max_length=200)),\n ('message', models.CharField(help_text='通知内容', max_length=2000)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('is_read', models.BooleanField(default=False, help_text='是否已读')),\n ('read_at', models.DateTimeField(blank=True, help_text='阅读时间', null=True)),\n ],\n options={\n 'verbose_name': '通知',\n 'verbose_name_plural': '通知',\n 'db_table': 'notification',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='notificatio_created_c430f0_idx'), models.Index(fields=['category', '-created_at'], name='notificatio_categor_df0584_idx'), models.Index(fields=['level', '-created_at'], name='notificatio_level_0e5d12_idx'), models.Index(fields=['is_read', '-created_at'], name='notificatio_is_read_518ce0_idx')],\n },\n ),\n migrations.CreateModel(\n name='Scan',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('engine_ids', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), default=list, help_text='引擎 ID 列表', size=None)),\n ('engine_names', models.JSONField(default=list, help_text='引擎名称列表，如 [\"引擎A\", \"引擎B\"]')),\n ('yaml_configuration', models.TextField(default='', help_text='YAML 格式的扫描配置')),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='任务创建时间')),\n ('stopped_at', models.DateTimeField(blank=True, help_text='扫描结束时间', null=True)),\n ('status', models.CharField(choices=[('cancelled', '已取消'), ('completed', '已完成'), ('failed', '失败'), ('initiated', '初始化'), ('running', '运行中')], db_index=True, default='initiated', help_text='任务状态', max_length=20)),\n ('results_dir', models.CharField(blank=True, default='', help_text='结果存储目录', max_length=100)),\n ('container_ids', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='容器 ID 列表（Docker Container ID）', size=None)),\n ('error_message', models.CharField(blank=True, default='', help_text='错误信息', max_length=2000)),\n ('deleted_at', models.DateTimeField(blank=True, db_index=True, help_text='删除时间（NULL表示未删除）', null=True)),\n ('progress', models.IntegerField(default=0, help_text='扫描进度 0-100')),\n ('current_stage', models.CharField(blank=True, default='', help_text='当前扫描阶段', max_length=50)),\n ('stage_progress', models.JSONField(default=dict, help_text='各阶段进度详情')),\n ('cached_subdomains_count', models.IntegerField(default=0, help_text='缓存的子域名数量')),\n ('cached_websites_count', models.IntegerField(default=0, help_text='缓存的网站数量')),\n ('cached_endpoints_count', models.IntegerField(default=0, help_text='缓存的端点数量')),\n ('cached_ips_count', models.IntegerField(default=0, help_text='缓存的IP地址数量')),\n ('cached_directories_count', models.IntegerField(default=0, help_text='缓存的目录数量')),\n ('cached_vulns_total', models.IntegerField(default=0, help_text='缓存的漏洞总数')),\n ('cached_vulns_critical', models.IntegerField(default=0, help_text='缓存的严重漏洞数量')),\n ('cached_vulns_high', models.IntegerField(default=0, help_text='缓存的高危漏洞数量')),\n ('cached_vulns_medium', models.IntegerField(default=0, help_text='缓存的中危漏洞数量')),\n ('cached_vulns_low', models.IntegerField(default=0, help_text='缓存的低危漏洞数量')),\n ('stats_updated_at', models.DateTimeField(blank=True, help_text='统计数据最后更新时间', null=True)),\n ('target', models.ForeignKey(help_text='扫描目标', on_delete=django.db.models.deletion.CASCADE, related_name='scans', to='targets.target')),\n ('worker', models.ForeignKey(blank=True, help_text='执行扫描的 Worker 节点', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='scans', to='engine.workernode')),\n ],\n options={\n 'verbose_name': '扫描任务',\n 'verbose_name_plural': '扫描任务',\n 'db_table': 'scan',\n 'ordering': ['-created_at'],\n },\n ),\n migrations.CreateModel(\n name='ScanLog',\n fields=[\n ('id', models.BigAutoField(primary_key=True, serialize=False)),\n ('level', models.CharField(choices=[('info', 'Info'), ('warning', 'Warning'), ('error', 'Error')], default='info', help_text='日志级别', max_length=10)),\n ('content', models.TextField(help_text='日志内容')),\n ('created_at', models.DateTimeField(auto_now_add=True, db_index=True, help_text='创建时间')),\n ('scan', models.ForeignKey(help_text='关联的扫描任务', on_delete=django.db.models.deletion.CASCADE, related_name='logs', to='scan.scan')),\n ],\n options={\n 'verbose_name': '扫描日志',\n 'verbose_name_plural': '扫描日志',\n 'db_table': 'scan_log',\n 'ordering': ['created_at'],\n },\n ),\n migrations.CreateModel(\n name='ScheduledScan',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(help_text='任务名称', max_length=200)),\n ('engine_ids', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), default=list, help_text='引擎 ID 列表', size=None)),\n ('engine_names', models.JSONField(default=list, help_text='引擎名称列表，如 [\"引擎A\", \"引擎B\"]')),\n ('yaml_configuration', models.TextField(default='', help_text='YAML 格式的扫描配置')),\n ('cron_expression', models.CharField(default='0 2 * * *', help_text='Cron 表达式，格式：分 时 日 月 周', max_length=100)),\n ('is_enabled', models.BooleanField(db_index=True, default=True, help_text='是否启用')),\n ('run_count', models.IntegerField(default=0, help_text='已执行次数')),\n ('last_run_time', models.DateTimeField(blank=True, help_text='上次执行时间', null=True)),\n ('next_run_time', models.DateTimeField(blank=True, help_text='下次执行时间', null=True)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')),\n ('organization', models.ForeignKey(blank=True, help_text='扫描组织（设置后执行时动态获取组织下所有目标）', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='scheduled_scans', to='targets.organization')),\n ('target', models.ForeignKey(blank=True, help_text='扫描单个目标（与 organization 二选一）', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='scheduled_scans', to='targets.target')),\n ],\n options={\n 'verbose_name': '定时扫描任务',\n 'verbose_name_plural': '定时扫描任务',\n 'db_table': 'scheduled_scan',\n 'ordering': ['-created_at'],\n },\n ),\n migrations.AddIndex(\n model_name='scan',\n index=models.Index(fields=['-created_at'], name='scan_created_0bb6c7_idx'),\n ),\n migrations.AddIndex(\n model_name='scan',\n index=models.Index(fields=['target'], name='scan_target__718b9d_idx'),\n ),\n migrations.AddIndex(\n model_name='scan',\n index=models.Index(fields=['deleted_at', '-created_at'], name='scan_deleted_eb17e8_idx'),\n ),\n migrations.AddIndex(\n model_name='scanlog',\n index=models.Index(fields=['scan', 'created_at'], name='scan_log_scan_id_c4814a_idx'),\n ),\n migrations.AddIndex(\n model_name='scheduledscan',\n index=models.Index(fields=['-created_at'], name='scheduled_s_created_9b9c2e_idx'),\n ),\n migrations.AddIndex(\n model_name='scheduledscan',\n index=models.Index(fields=['is_enabled', '-created_at'], name='scheduled_s_is_enab_23d660_idx'),\n ),\n migrations.AddIndex(\n model_name='scheduledscan',\n index=models.Index(fields=['name'], name='scheduled_s_name_bf332d_idx'),\n ),\n ]\n" }, { "path": "backend/apps/scan/migrations/0002_add_cached_screenshots_count.py", "content": "# Generated by Django 5.2.7 on 2026-01-07 14:03\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('scan', '0001_initial'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='scan',\n name='cached_screenshots_count',\n field=models.IntegerField(default=0, help_text='缓存的截图数量'),\n ),\n ]\n" }, { "path": "backend/apps/scan/migrations/0003_add_wecom_fields.py", "content": "# Generated manually for WeCom notification support\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('scan', '0002_add_cached_screenshots_count'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='notificationsettings',\n name='wecom_enabled',\n field=models.BooleanField(default=False, help_text='是否启用企业微信通知'),\n ),\n migrations.AddField(\n model_name='notificationsettings',\n name='wecom_webhook_url',\n field=models.URLField(blank=True, default='', help_text='企业微信机器人 Webhook URL'),\n ),\n ]\n" }, { "path": "backend/apps/scan/migrations/__init__.py", "content": "" }, { "path": "backend/apps/scan/models/__init__.py", "content": "\"\"\"Scan Models - 统一导出\"\"\"\n\nfrom .scan_models import Scan, SoftDeleteManager\nfrom .scan_log_model import ScanLog\nfrom .scheduled_scan_model import ScheduledScan\nfrom .subfinder_provider_settings_model import SubfinderProviderSettings\n\n# 兼容旧名称（已废弃，请使用 SubfinderProviderSettings）\nProviderSettings = SubfinderProviderSettings\n\n__all__ = [\n 'Scan',\n 'ScanLog',\n 'ScheduledScan',\n 'SoftDeleteManager',\n 'SubfinderProviderSettings',\n 'ProviderSettings', # 兼容旧名称\n]\n" }, { "path": "backend/apps/scan/models/scan_log_model.py", "content": "\"\"\"扫描日志模型\"\"\"\n\nfrom django.db import models\n\n\nclass ScanLog(models.Model):\n \"\"\"扫描日志模型\"\"\"\n \n class Level(models.TextChoices):\n INFO = 'info', 'Info'\n WARNING = 'warning', 'Warning'\n ERROR = 'error', 'Error'\n \n id = models.BigAutoField(primary_key=True)\n scan = models.ForeignKey(\n 'Scan',\n on_delete=models.CASCADE,\n related_name='logs',\n db_index=True,\n help_text='关联的扫描任务'\n )\n level = models.CharField(\n max_length=10,\n choices=Level.choices,\n default=Level.INFO,\n help_text='日志级别'\n )\n content = models.TextField(help_text='日志内容')\n created_at = models.DateTimeField(auto_now_add=True, db_index=True, help_text='创建时间')\n \n class Meta:\n db_table = 'scan_log'\n verbose_name = '扫描日志'\n verbose_name_plural = '扫描日志'\n ordering = ['created_at']\n indexes = [\n models.Index(fields=['scan', 'created_at']),\n ]\n \n def __str__(self):\n return f\"[{self.level}] {self.content[:50]}\"\n" }, { "path": "backend/apps/scan/models/scan_models.py", "content": "\"\"\"扫描相关模型\"\"\"\n\nfrom django.db import models\nfrom django.contrib.postgres.fields import ArrayField\n\nfrom apps.common.definitions import ScanStatus\n\n\nclass SoftDeleteManager(models.Manager):\n \"\"\"软删除管理器：默认只返回未删除的记录\"\"\"\n \n def get_queryset(self):\n return super().get_queryset().filter(deleted_at__isnull=True)\n\n\nclass Scan(models.Model):\n \"\"\"扫描任务模型\"\"\"\n\n id = models.AutoField(primary_key=True)\n\n target = models.ForeignKey('targets.Target', on_delete=models.CASCADE, related_name='scans', help_text='扫描目标')\n\n # 多引擎支持字段\n engine_ids = ArrayField(\n models.IntegerField(),\n default=list,\n help_text='引擎 ID 列表'\n )\n engine_names = models.JSONField(\n default=list,\n help_text='引擎名称列表，如 [\"引擎A\", \"引擎B\"]'\n )\n yaml_configuration = models.TextField(\n default='',\n help_text='YAML 格式的扫描配置'\n )\n\n created_at = models.DateTimeField(auto_now_add=True, help_text='任务创建时间')\n stopped_at = models.DateTimeField(null=True, blank=True, help_text='扫描结束时间')\n\n status = models.CharField(\n max_length=20,\n choices=ScanStatus.choices,\n default=ScanStatus.INITIATED,\n db_index=True,\n help_text='任务状态'\n )\n\n results_dir = models.CharField(max_length=100, blank=True, default='', help_text='结果存储目录')\n\n container_ids = ArrayField(\n models.CharField(max_length=100),\n blank=True,\n default=list,\n help_text='容器 ID 列表（Docker Container ID）'\n )\n \n worker = models.ForeignKey(\n 'engine.WorkerNode',\n on_delete=models.SET_NULL,\n related_name='scans',\n null=True,\n blank=True,\n help_text='执行扫描的 Worker 节点'\n )\n\n error_message = models.CharField(max_length=2000, blank=True, default='', help_text='错误信息')\n\n # ==================== 软删除字段 ====================\n deleted_at = models.DateTimeField(null=True, blank=True, db_index=True, help_text='删除时间（NULL表示未删除）')\n\n # ==================== 管理器 ====================\n objects = SoftDeleteManager() # 默认管理器：只返回未删除的记录\n all_objects = models.Manager() # 全量管理器：包括已删除的记录（用于硬删除）\n\n # ==================== 进度跟踪字段 ====================\n progress = models.IntegerField(default=0, help_text='扫描进度 0-100')\n current_stage = models.CharField(max_length=50, blank=True, default='', help_text='当前扫描阶段')\n stage_progress = models.JSONField(default=dict, help_text='各阶段进度详情')\n\n # ==================== 缓存统计字段 ====================\n cached_subdomains_count = models.IntegerField(default=0, help_text='缓存的子域名数量')\n cached_websites_count = models.IntegerField(default=0, help_text='缓存的网站数量')\n cached_endpoints_count = models.IntegerField(default=0, help_text='缓存的端点数量')\n cached_ips_count = models.IntegerField(default=0, help_text='缓存的IP地址数量')\n cached_directories_count = models.IntegerField(default=0, help_text='缓存的目录数量')\n cached_screenshots_count = models.IntegerField(default=0, help_text='缓存的截图数量')\n cached_vulns_total = models.IntegerField(default=0, help_text='缓存的漏洞总数')\n cached_vulns_critical = models.IntegerField(default=0, help_text='缓存的严重漏洞数量')\n cached_vulns_high = models.IntegerField(default=0, help_text='缓存的高危漏洞数量')\n cached_vulns_medium = models.IntegerField(default=0, help_text='缓存的中危漏洞数量')\n cached_vulns_low = models.IntegerField(default=0, help_text='缓存的低危漏洞数量')\n stats_updated_at = models.DateTimeField(null=True, blank=True, help_text='统计数据最后更新时间')\n\n class Meta:\n db_table = 'scan'\n verbose_name = '扫描任务'\n verbose_name_plural = '扫描任务'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['target']),\n models.Index(fields=['deleted_at', '-created_at']),\n ]\n\n def __str__(self):\n return f\"Scan #{self.id} - {self.target.name}\"\n" }, { "path": "backend/apps/scan/models/scheduled_scan_model.py", "content": "\"\"\"定时扫描任务模型\"\"\"\n\nfrom django.db import models\nfrom django.contrib.postgres.fields import ArrayField\n\n\nclass ScheduledScan(models.Model):\n \"\"\"定时扫描任务模型\"\"\"\n \n id = models.AutoField(primary_key=True)\n \n name = models.CharField(max_length=200, help_text='任务名称')\n \n engine_ids = ArrayField(\n models.IntegerField(),\n default=list,\n help_text='引擎 ID 列表'\n )\n engine_names = models.JSONField(\n default=list,\n help_text='引擎名称列表，如 [\"引擎A\", \"引擎B\"]'\n )\n yaml_configuration = models.TextField(\n default='',\n help_text='YAML 格式的扫描配置'\n )\n \n organization = models.ForeignKey(\n 'targets.Organization',\n on_delete=models.CASCADE,\n related_name='scheduled_scans',\n null=True,\n blank=True,\n help_text='扫描组织（设置后执行时动态获取组织下所有目标）'\n )\n \n target = models.ForeignKey(\n 'targets.Target',\n on_delete=models.CASCADE,\n related_name='scheduled_scans',\n null=True,\n blank=True,\n help_text='扫描单个目标（与 organization 二选一）'\n )\n \n cron_expression = models.CharField(\n max_length=100,\n default='0 2 * * *',\n help_text='Cron 表达式，格式：分 时 日 月 周'\n )\n \n is_enabled = models.BooleanField(default=True, db_index=True, help_text='是否启用')\n \n run_count = models.IntegerField(default=0, help_text='已执行次数')\n last_run_time = models.DateTimeField(null=True, blank=True, help_text='上次执行时间')\n next_run_time = models.DateTimeField(null=True, blank=True, help_text='下次执行时间')\n \n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n updated_at = models.DateTimeField(auto_now=True, help_text='更新时间')\n \n class Meta:\n db_table = 'scheduled_scan'\n verbose_name = '定时扫描任务'\n verbose_name_plural = '定时扫描任务'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['is_enabled', '-created_at']),\n models.Index(fields=['name']),\n ]\n \n def __str__(self):\n return f\"ScheduledScan #{self.id} - {self.name}\"\n" }, { "path": "backend/apps/scan/models/subfinder_provider_settings_model.py", "content": "\"\"\"Subfinder Provider 配置模型（单例模式）\n\n用于存储 subfinder 第三方数据源的 API Key 配置\n\"\"\"\n\nfrom django.db import models\n\n\nclass SubfinderProviderSettings(models.Model):\n \"\"\"\n Subfinder Provider 配置（单例模式）\n 存储第三方数据源的 API Key 配置，用于 subfinder 子域名发现\n \n 支持的 Provider:\n - fofa: email + api_key (composite)\n - censys: api_id + api_secret (composite)\n - hunter, shodan, zoomeye, securitytrails, threatbook, quake: api_key (single)\n \"\"\"\n \n providers = models.JSONField(\n default=dict,\n help_text='各 Provider 的 API Key 配置'\n )\n \n created_at = models.DateTimeField(auto_now_add=True)\n updated_at = models.DateTimeField(auto_now=True)\n \n class Meta:\n db_table = 'subfinder_provider_settings'\n verbose_name = 'Subfinder Provider 配置'\n verbose_name_plural = 'Subfinder Provider 配置'\n \n DEFAULT_PROVIDERS = {\n 'fofa': {'enabled': False, 'email': '', 'api_key': ''},\n 'hunter': {'enabled': False, 'api_key': ''},\n 'shodan': {'enabled': False, 'api_key': ''},\n 'censys': {'enabled': False, 'api_id': '', 'api_secret': ''},\n 'zoomeye': {'enabled': False, 'api_key': ''},\n 'securitytrails': {'enabled': False, 'api_key': ''},\n 'threatbook': {'enabled': False, 'api_key': ''},\n 'quake': {'enabled': False, 'api_key': ''},\n }\n \n def save(self, *args, **kwargs):\n self.pk = 1\n super().save(*args, **kwargs)\n \n @classmethod\n def get_instance(cls) -> 'SubfinderProviderSettings':\n \"\"\"获取或创建单例实例\"\"\"\n obj, _ = cls.objects.get_or_create(\n pk=1,\n defaults={'providers': cls.DEFAULT_PROVIDERS.copy()}\n )\n return obj\n \n def get_provider_config(self, provider: str) -> dict:\n \"\"\"获取指定 Provider 的配置\"\"\"\n return self.providers.get(provider, self.DEFAULT_PROVIDERS.get(provider, {}))\n \n def is_provider_enabled(self, provider: str) -> bool:\n \"\"\"检查指定 Provider 是否启用\"\"\"\n config = self.get_provider_config(provider)\n return config.get('enabled', False)\n" }, { "path": "backend/apps/scan/notifications/__init__.py", "content": "\"\"\"极简通知系统\"\"\"\n\nfrom .types import NotificationLevel, NotificationCategory\nfrom .models import Notification\nfrom .services import create_notification\n\n__all__ = [\n 'NotificationLevel',\n 'NotificationCategory',\n 'Notification',\n 'create_notification'\n]\n" }, { "path": "backend/apps/scan/notifications/consumers.py", "content": "\"\"\"\nWebSocket Consumer - 通知实时推送\n\"\"\"\n\nimport json\nimport logging\nimport asyncio\n\nfrom apps.common.websocket_auth import AuthenticatedWebsocketConsumer\n\nlogger = logging.getLogger(__name__)\n\n\nclass NotificationConsumer(AuthenticatedWebsocketConsumer):\n \"\"\"\n 通知 WebSocket Consumer\n \n 处理客户端连接、断开和通知推送\n 使用 Redis Channel Layer 订阅通知\n 支持心跳保活机制\n \"\"\"\n \n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.heartbeat_task = None # 心跳任务\n \n async def on_connect(self):\n \"\"\"\n 客户端连接时调用（已通过认证）\n 加入通知广播组\n \"\"\"\n # 通知组名（所有客户端共享）\n self.group_name = 'notifications'\n \n # 加入组\n await self.channel_layer.group_add(\n self.group_name,\n self.channel_name\n )\n \n # 接受 WebSocket 连接\n await self.accept()\n \n # 发送连接成功消息\n await self.send(text_data=json.dumps({\n 'type': 'connected',\n 'message': '连接成功'\n }, ensure_ascii=False))\n \n # 启动服务端心跳（可选：防止中间件超时）\n # self.heartbeat_task = asyncio.create_task(self._heartbeat_loop())\n \n logger.debug(f\"WebSocket 连接已建立 - Channel: {self.channel_name}\")\n \n async def disconnect(self, close_code):\n \"\"\"\n 客户端断开时调用\n 离开通知广播组\n \"\"\"\n # 取消心跳任务\n if self.heartbeat_task and not self.heartbeat_task.done():\n self.heartbeat_task.cancel()\n try:\n await self.heartbeat_task\n except asyncio.CancelledError:\n pass\n \n # 离开组\n await self.channel_layer.group_discard(\n self.group_name,\n self.channel_name\n )\n \n logger.debug(f\"WebSocket 连接已断开 - Channel: {self.channel_name}, Code: {close_code}\")\n \n async def receive(self, text_data):\n \"\"\"\n 接收客户端消息\n 当前实现不需要处理客户端消息，保留以备扩展\n \"\"\"\n try:\n data = json.loads(text_data)\n message_type = data.get('type')\n \n # 心跳响应\n if message_type == 'ping':\n await self.send(text_data=json.dumps({\n 'type': 'pong',\n 'message': '心跳响应'\n }, ensure_ascii=False))\n logger.debug(f\"心跳响应 - Channel: {self.channel_name}\")\n \n except json.JSONDecodeError as e:\n logger.warning(f\"解析客户端消息失败 - Channel: {self.channel_name}: {e}\")\n except Exception as e:\n logger.error(f\"处理客户端消息异常 - Channel: {self.channel_name}: {e}\", exc_info=True)\n \n async def notification_message(self, event):\n \"\"\"\n 接收来自 Channel Layer 的通知消息\n 转发给 WebSocket 客户端\n \n Args:\n event: 消息事件，包含通知数据\n \"\"\"\n try:\n # 构造发送给客户端的消息\n message = {\n 'type': 'notification',\n 'id': event['id'],\n 'category': event.get('category', 'system'),\n 'title': event['title'],\n 'message': event['message'],\n 'level': event['level'],\n 'created_at': event['created_at']\n }\n \n # 发送给客户端\n await self.send(text_data=json.dumps(message, ensure_ascii=False))\n \n logger.debug(f\"通知已推送 - Channel: {self.channel_name}, ID: {event['id']}\")\n \n except Exception as e:\n logger.error(f\"推送通知失败 - Channel: {self.channel_name}: {e}\", exc_info=True)\n \n async def _heartbeat_loop(self):\n \"\"\"\n 服务端主动心跳循环（可选）\n 定期向客户端发送 ping 消息，保持连接活跃\n 防止中间件或防火墙断开长时间无活动的连接\n \n 注意：通常客户端心跳就足够了，这是额外的保险措施\n \"\"\"\n try:\n while True:\n await asyncio.sleep(45) # 每 45 秒发送一次心跳\n await self.send(text_data=json.dumps({\n 'type': 'ping',\n 'message': '服务端心跳'\n }, ensure_ascii=False))\n logger.debug(f\"服务端心跳已发送 - Channel: {self.channel_name}\")\n except asyncio.CancelledError:\n logger.debug(f\"心跳循环已取消 - Channel: {self.channel_name}\")\n except Exception as e:\n logger.error(f\"心跳循环异常 - Channel: {self.channel_name}: {e}\", exc_info=True)\n" }, { "path": "backend/apps/scan/notifications/models.py", "content": "\"\"\"通知系统数据模型\"\"\"\n\nimport logging\nfrom datetime import timedelta\n\nfrom django.db import models\nfrom django.utils import timezone\n\nfrom .types import NotificationCategory, NotificationLevel\n\nlogger = logging.getLogger(__name__)\n\n\nclass NotificationSettings(models.Model):\n \"\"\"\n 通知设置（单例模型）\n 存储 Discord webhook 配置和各分类的通知开关\n \"\"\"\n\n # Discord 配置\n discord_enabled = models.BooleanField(default=False, help_text='是否启用 Discord 通知')\n discord_webhook_url = models.URLField(blank=True, default='', help_text='Discord Webhook URL')\n\n # 企业微信配置\n wecom_enabled = models.BooleanField(default=False, help_text='是否启用企业微信通知')\n wecom_webhook_url = models.URLField(blank=True, default='', help_text='企业微信机器人 Webhook URL')\n\n # 分类开关（使用 JSONField 存储）\n categories = models.JSONField(\n default=dict,\n help_text='各分类通知开关，如 {\"scan\": true, \"vulnerability\": true, \"asset\": true, \"system\": false}'\n )\n\n # 时间信息\n created_at = models.DateTimeField(auto_now_add=True)\n updated_at = models.DateTimeField(auto_now=True)\n\n class Meta:\n db_table = 'notification_settings'\n verbose_name = '通知设置'\n verbose_name_plural = '通知设置'\n\n def save(self, *args, **kwargs):\n self.pk = 1 # 单例模式\n super().save(*args, **kwargs)\n\n @classmethod\n def get_instance(cls) -> 'NotificationSettings':\n \"\"\"获取或创建单例实例\"\"\"\n obj, _ = cls.objects.get_or_create(\n pk=1,\n defaults={\n 'discord_enabled': False,\n 'discord_webhook_url': '',\n 'categories': {\n 'scan': True,\n 'vulnerability': True,\n 'asset': True,\n 'system': False,\n }\n }\n )\n return obj\n\n def is_category_enabled(self, category: str) -> bool:\n \"\"\"检查指定分类是否启用通知\"\"\"\n return self.categories.get(category, False)\n\n\nclass Notification(models.Model):\n \"\"\"通知模型\"\"\"\n\n id = models.AutoField(primary_key=True)\n\n category = models.CharField(\n max_length=20,\n choices=NotificationCategory.choices,\n default=NotificationCategory.SYSTEM,\n db_index=True,\n help_text='通知分类'\n )\n\n level = models.CharField(\n max_length=20,\n choices=NotificationLevel.choices,\n default=NotificationLevel.LOW,\n db_index=True,\n help_text='通知级别'\n )\n\n title = models.CharField(max_length=200, help_text='通知标题')\n message = models.CharField(max_length=2000, help_text='通知内容')\n\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n\n is_read = models.BooleanField(default=False, help_text='是否已读')\n read_at = models.DateTimeField(null=True, blank=True, help_text='阅读时间')\n\n class Meta:\n db_table = 'notification'\n verbose_name = '通知'\n verbose_name_plural = '通知'\n ordering = ['-created_at']\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['category', '-created_at']),\n models.Index(fields=['level', '-created_at']),\n models.Index(fields=['is_read', '-created_at']),\n ]\n\n def __str__(self):\n return f\"{self.get_level_display()} - {self.title}\"\n\n @classmethod\n def cleanup_old_notifications(cls) -> int:\n \"\"\"清理超过15天的旧通知\"\"\"\n cutoff_date = timezone.now() - timedelta(days=15)\n deleted_count, _ = cls.objects.filter(created_at__lt=cutoff_date).delete()\n return deleted_count or 0\n\n def save(self, *args, **kwargs):\n \"\"\"重写save方法，在创建新通知时自动清理旧通知\"\"\"\n is_new = self.pk is None\n super().save(*args, **kwargs)\n\n if is_new:\n try:\n deleted_count = self.__class__.cleanup_old_notifications()\n if deleted_count > 0:\n logger.info(\"自动清理了 %d 条超过15天的旧通知\", deleted_count)\n except Exception:\n logger.warning(\"通知自动清理失败\", exc_info=True)\n" }, { "path": "backend/apps/scan/notifications/receivers.py", "content": "\"\"\"信号接收器 - 处理通知相关的信号\n\n监听各种信号并发送相应的通知。\n\"\"\"\n\nimport logging\nfrom django.dispatch import receiver\n\nfrom apps.common.signals import vulnerabilities_saved, worker_delete_failed, all_workers_high_load\nfrom apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory\n\nlogger = logging.getLogger(__name__)\n\n\n@receiver(vulnerabilities_saved)\ndef on_vulnerabilities_saved(sender, items, scan_id, target_id, **kwargs):\n \"\"\"漏洞保存完成后的通知处理\n \n 为每个漏洞发送详细通知\n \"\"\"\n if not items:\n return\n \n # 获取目标名称\n target_name = \"未知目标\"\n if target_id:\n try:\n from apps.targets.models import Target\n target = Target.objects.filter(id=target_id).first()\n if target:\n target_name = target.name\n except Exception:\n pass\n \n # 严重程度映射\n severity_level_map = {\n 'critical': NotificationLevel.CRITICAL,\n 'high': NotificationLevel.HIGH,\n 'medium': NotificationLevel.MEDIUM,\n 'low': NotificationLevel.LOW,\n }\n \n for vuln in items:\n try:\n severity = vuln.severity or 'unknown'\n \n # 构建漏洞详情消息\n message = f\"漏洞：{vuln.vuln_type}\\n\"\n message += f\"程度：{severity}\\n\"\n message += f\"目标：{target_name}\\n\"\n message += f\"URL：{vuln.url}\"\n if vuln.source:\n message += f\"\\n来源：{vuln.source}\"\n if vuln.description:\n message += f\"\\n描述：{vuln.description}\"\n \n # 根据漏洞严重程度设置通知级别\n level = severity_level_map.get(severity.lower(), NotificationLevel.MEDIUM)\n \n create_notification(\n title=f\"{vuln.vuln_type}\",\n message=message,\n level=level,\n category=NotificationCategory.VULNERABILITY\n )\n \n except Exception as e:\n logger.error(\"发送漏洞通知失败 - url=%s: %s\", vuln.url, e, exc_info=True)\n \n logger.info(\"漏洞通知已发送 - scan_id=%s, 数量=%d\", scan_id, len(items))\n\n\n@receiver(worker_delete_failed)\ndef on_worker_delete_failed(sender, worker_name, message, **kwargs):\n \"\"\"Worker 删除失败时的通知处理\"\"\"\n create_notification(\n title=\"Worker 删除警告\",\n message=f\"节点 {worker_name} 已从数据库删除，但远程卸载失败: {message}\",\n level=NotificationLevel.MEDIUM,\n category=NotificationCategory.SYSTEM\n )\n logger.warning(\"Worker 删除失败通知已发送 - worker=%s, message=%s\", worker_name, message)\n\n\n@receiver(all_workers_high_load)\ndef on_all_workers_high_load(sender, worker_name, cpu, mem, **kwargs):\n \"\"\"所有 Worker 高负载时的通知处理\"\"\"\n create_notification(\n title=\"系统负载较高\",\n message=f\"所有节点负载较高（最低负载节点 CPU: {cpu:.1f}%, 内存: {mem:.1f}%），系统将等待最多 10 分钟后分发任务，扫描速度可能受影响\",\n level=NotificationLevel.MEDIUM,\n category=NotificationCategory.SYSTEM\n )\n logger.warning(\"高负载通知已发送 - cpu=%.1f%%, mem=%.1f%%\", cpu, mem)\n" }, { "path": "backend/apps/scan/notifications/repositories.py", "content": "\"\"\"通知系统仓储层模块\"\"\"\n\nimport logging\nfrom dataclasses import dataclass\nfrom typing import Optional\n\nfrom django.db.models import QuerySet\nfrom django.utils import timezone\n\nfrom apps.common.decorators import auto_ensure_db_connection\n\nfrom .models import Notification, NotificationSettings\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass NotificationSettingsData:\n \"\"\"通知设置更新数据\"\"\"\n\n discord_enabled: bool\n discord_webhook_url: str\n categories: dict[str, bool]\n wecom_enabled: bool = False\n wecom_webhook_url: str = ''\n\n\n@auto_ensure_db_connection\nclass NotificationSettingsRepository:\n \"\"\"通知设置仓储层\"\"\"\n\n def get_settings(self) -> NotificationSettings:\n \"\"\"获取通知设置单例\"\"\"\n return NotificationSettings.get_instance()\n\n def update_settings(self, data: NotificationSettingsData) -> NotificationSettings:\n \"\"\"更新通知设置\"\"\"\n settings = NotificationSettings.get_instance()\n settings.discord_enabled = data.discord_enabled\n settings.discord_webhook_url = data.discord_webhook_url\n settings.wecom_enabled = data.wecom_enabled\n settings.wecom_webhook_url = data.wecom_webhook_url\n settings.categories = data.categories\n settings.save()\n return settings\n\n def is_category_enabled(self, category: str) -> bool:\n \"\"\"检查指定分类是否启用\"\"\"\n return self.get_settings().is_category_enabled(category)\n\n\n@auto_ensure_db_connection\nclass DjangoNotificationRepository:\n \"\"\"通知数据仓储层\"\"\"\n\n def get_filtered(\n self,\n level: Optional[str] = None,\n unread: Optional[bool] = None\n ) -> QuerySet[Notification]:\n \"\"\"\n 获取过滤后的通知列表\n\n Args:\n level: 通知级别过滤\n unread: 已读状态过滤 (True=未读, False=已读, None=全部)\n \"\"\"\n queryset = Notification.objects.all()\n\n if level:\n queryset = queryset.filter(level=level)\n\n if unread is True:\n queryset = queryset.filter(is_read=False)\n elif unread is False:\n queryset = queryset.filter(is_read=True)\n\n return queryset.order_by(\"-created_at\")\n\n def get_unread_count(self) -> int:\n \"\"\"获取未读通知数量\"\"\"\n return Notification.objects.filter(is_read=False).count()\n\n def mark_all_as_read(self) -> int:\n \"\"\"标记所有通知为已读，返回更新数量\"\"\"\n return Notification.objects.filter(is_read=False).update(\n is_read=True,\n read_at=timezone.now(),\n )\n\n def create(\n self,\n title: str,\n message: str,\n level: str,\n category: str = 'system'\n ) -> Notification:\n \"\"\"创建新通知\"\"\"\n return Notification.objects.create(\n category=category,\n level=level,\n title=title,\n message=message,\n )\n" }, { "path": "backend/apps/scan/notifications/routing.py", "content": "\"\"\"\nWebSocket 路由配置\n\"\"\"\n\nfrom django.urls import path\n\n# 延迟导入，避免循环依赖\nfrom .consumers import NotificationConsumer\n\nwebsocket_urlpatterns = [\n path('ws/notifications/', NotificationConsumer.as_asgi()),\n]\n" }, { "path": "backend/apps/scan/notifications/serializers.py", "content": "\"\"\"通知序列化器\"\"\"\n\nfrom rest_framework import serializers\n\nfrom .models import Notification\n\n\nclass NotificationSerializer(serializers.ModelSerializer):\n class Meta:\n model = Notification\n fields = [\n 'id',\n 'category',\n 'title',\n 'message',\n 'level',\n 'is_read',\n 'created_at',\n 'read_at',\n ]\n" }, { "path": "backend/apps/scan/notifications/services.py", "content": "\"\"\"通知服务 - 支持数据库存储和 WebSocket 实时推送\"\"\"\n\nimport logging\nimport time\nimport requests\nimport urllib3\nfrom .models import Notification, NotificationSettings\nfrom .types import NotificationLevel, NotificationCategory\nfrom .repositories import DjangoNotificationRepository, NotificationSettingsRepository\n\n# 禁用自签名证书的 SSL 警告（远程 Worker 回调场景）\nurllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)\n\nlogger = logging.getLogger(__name__)\n\n\n# ============================================================\n# 外部推送渠道抽象\n# ============================================================\n\n# Discord Embed 颜色映射（使用字符串 key，因为 model 字段存储的是字符串）\nDISCORD_COLORS = {\n 'low': 0x3498db, # 蓝色\n 'medium': 0xf39c12, # 橙色\n 'high': 0xe74c3c, # 红色\n 'critical': 0x9b59b6, # 紫色\n}\n\n# 分类 emoji（使用字符串 key）\nCATEGORY_EMOJI = {\n 'scan': '🔍',\n 'vulnerability': '⚠️',\n 'asset': '🌐',\n 'system': '⚙️',\n}\n\n\ndef push_to_external_channels(notification: Notification) -> None:\n \"\"\"\n 推送通知到外部渠道（Discord、Slack 等）\n \n 根据用户设置决定推送到哪些渠道。\n 目前支持：Discord\n 未来可扩展：Slack、Telegram、Email 等\n \n Args:\n notification: 通知对象\n \"\"\"\n settings = NotificationSettings.get_instance()\n \n # 检查分类是否启用\n if not settings.is_category_enabled(notification.category):\n logger.debug(f\"分类 {notification.category} 未启用外部推送\")\n return\n \n # Discord 渠道\n if settings.discord_enabled and settings.discord_webhook_url:\n try:\n _send_discord(notification, settings.discord_webhook_url)\n except Exception as e:\n logger.warning(f\"Discord 推送失败: {e}\")\n \n # 企业微信渠道\n if settings.wecom_enabled and settings.wecom_webhook_url:\n try:\n _send_wecom(notification, settings.wecom_webhook_url)\n except Exception as e:\n logger.warning(f\"企业微信推送失败: {e}\")\n\n\ndef _send_discord(notification: Notification, webhook_url: str) -> bool:\n \"\"\"发送到 Discord Webhook\"\"\"\n try:\n color = DISCORD_COLORS.get(notification.level, 0x95a5a6)\n emoji = CATEGORY_EMOJI.get(notification.category, '📢')\n \n embed = {\n 'title': f\"{emoji} {notification.title}\",\n 'description': notification.message,\n 'color': color,\n 'footer': {\n 'text': f\"级别: {notification.get_level_display()} | 分类: {notification.get_category_display()}\"\n },\n 'timestamp': notification.created_at.isoformat(),\n }\n \n response = requests.post(\n webhook_url,\n json={'embeds': [embed]},\n timeout=10\n )\n \n if response.status_code in (200, 204):\n logger.info(f\"Discord 通知发送成功 - {notification.title}\")\n return True\n else:\n logger.warning(f\"Discord 发送失败 - 状态码: {response.status_code}\")\n return False\n \n except requests.RequestException as e:\n logger.error(f\"Discord 网络错误: {e}\")\n return False\n\n\ndef _send_wecom(notification: Notification, webhook_url: str) -> bool:\n \"\"\"发送到企业微信机器人 Webhook\"\"\"\n try:\n emoji = CATEGORY_EMOJI.get(notification.category, '📢')\n\n # 企业微信 Markdown 格式\n content = f\"\"\"**{emoji} {notification.title}**\n> 级别：{notification.get_level_display()}\n> 分类：{notification.get_category_display()}\n\n{notification.message}\"\"\"\n\n payload = {\n 'msgtype': 'markdown',\n 'markdown': {'content': content}\n }\n\n response = requests.post(webhook_url, json=payload, timeout=10)\n\n if response.status_code == 200:\n result = response.json()\n if result.get('errcode') == 0:\n logger.info(f\"企业微信通知发送成功 - {notification.title}\")\n return True\n logger.warning(f\"企业微信发送失败 - errcode: {result.get('errcode')}, errmsg: {result.get('errmsg')}\")\n return False\n\n logger.warning(f\"企业微信发送失败 - 状态码: {response.status_code}\")\n return False\n\n except requests.RequestException as e:\n logger.error(f\"企业微信网络错误: {e}\")\n return False\n\n\n# ============================================================\n# 设置服务\n# ============================================================\n\nclass NotificationSettingsService:\n \"\"\"通知设置服务\"\"\"\n \n def __init__(self, repository: NotificationSettingsRepository | None = None):\n self.repo = repository or NotificationSettingsRepository()\n \n def get_settings(self) -> dict:\n \"\"\"获取通知设置（前端格式）\"\"\"\n settings = self.repo.get_settings()\n return {\n 'discord': {\n 'enabled': settings.discord_enabled,\n 'webhookUrl': settings.discord_webhook_url,\n },\n 'wecom': {\n 'enabled': settings.wecom_enabled,\n 'webhookUrl': settings.wecom_webhook_url,\n },\n 'categories': settings.categories,\n }\n \n def update_settings(self, data: dict) -> dict:\n \"\"\"更新通知设置\n\n 注意：DRF CamelCaseJSONParser 会将前端的 webhookUrl 转换为 webhook_url\n \"\"\"\n discord_data = data.get('discord', {})\n wecom_data = data.get('wecom', {})\n categories = data.get('categories', {})\n\n # CamelCaseJSONParser 转换后的字段名是 webhook_url\n discord_webhook_url = discord_data.get('webhook_url', '')\n wecom_webhook_url = wecom_data.get('webhook_url', '')\n\n settings = self.repo.update_settings(\n discord_enabled=discord_data.get('enabled', False),\n discord_webhook_url=discord_webhook_url,\n wecom_enabled=wecom_data.get('enabled', False),\n wecom_webhook_url=wecom_webhook_url,\n categories=categories,\n )\n\n return {\n 'discord': {\n 'enabled': settings.discord_enabled,\n 'webhookUrl': settings.discord_webhook_url,\n },\n 'wecom': {\n 'enabled': settings.wecom_enabled,\n 'webhookUrl': settings.wecom_webhook_url,\n },\n 'categories': settings.categories,\n }\n\n\nclass NotificationService:\n \"\"\"通知业务服务，封装常用查询与更新操作\"\"\"\n\n def __init__(self, repository: DjangoNotificationRepository | None = None):\n self.repo = repository or DjangoNotificationRepository()\n\n def get_notifications(self, level: str | None = None, unread: bool | None = None):\n return self.repo.get_filtered(level=level, unread=unread)\n\n def get_unread_count(self) -> int:\n return self.repo.get_unread_count()\n\n def mark_all_as_read(self) -> int:\n return self.repo.mark_all_as_read()\n\n\ndef create_notification(\n title: str,\n message: str,\n level: NotificationLevel = NotificationLevel.LOW,\n category: NotificationCategory = NotificationCategory.SYSTEM\n) -> Notification:\n \"\"\"\n 创建通知记录并实时推送\n \n 增强的重试机制：\n - 最多重试 3 次\n - 每次重试前强制关闭并重建数据库连接\n - 重试间隔：1秒 → 2秒 → 3秒\n - 针对连接错误进行特殊处理\n \n Args:\n title: 通知标题\n message: 通知消息\n level: 通知级别\n category: 通知分类\n \n Returns:\n Notification: 创建的通知对象\n \n Raises:\n Exception: 重试3次后仍然失败\n \"\"\"\n from django.db import connection\n from psycopg2 import OperationalError, InterfaceError\n\n repo = DjangoNotificationRepository()\n\n max_retries = 3\n last_exception = None\n \n for attempt in range(1, max_retries + 1):\n try:\n # 强制关闭旧连接并重建（每次尝试都重建）\n if attempt > 1:\n logger.debug(f\"重试创建通知 ({attempt}/{max_retries}) - {title}\")\n \n connection.close()\n connection.ensure_connection()\n \n # 测试连接是否真的可用\n connection.cursor().execute(\"SELECT 1\")\n \n # 1. 写入数据库（通过仓储层统一访问 ORM）\n notification = repo.create(\n title=title,\n message=message,\n level=level,\n category=category,\n )\n \n # 2. WebSocket 实时推送（推送失败不影响通知创建）\n try:\n _push_to_websocket(notification)\n except Exception as push_error:\n logger.warning(f\"WebSocket 推送失败，但通知已创建 - {title}: {push_error}\")\n \n # 3. 外部渠道推送（Discord/Slack 等，推送失败不影响通知创建）\n try:\n push_to_external_channels(notification)\n except Exception as external_error:\n logger.warning(f\"外部渠道推送失败，但通知已创建 - {title}: {external_error}\")\n \n if attempt > 1:\n logger.info(f\"✓ 通知创建成功（重试 {attempt-1} 次后） - {title}\")\n else:\n logger.debug(f\"通知已创建并推送 - {title}\")\n \n return notification\n \n except (OperationalError, InterfaceError) as e:\n # 数据库连接错误，需要重试\n last_exception = e\n error_msg = str(e)\n logger.warning(\n f\"数据库连接错误 ({attempt}/{max_retries}) - {title}: {error_msg[:100]}\"\n )\n \n if attempt < max_retries:\n # 指数退避：1秒、2秒、3秒\n sleep_time = attempt\n logger.debug(f\"等待 {sleep_time} 秒后重试...\")\n time.sleep(sleep_time)\n else:\n logger.error(\n f\"创建通知失败 - 数据库连接问题（已重试 {max_retries} 次） - {title}: {error_msg}\"\n )\n \n except Exception as e:\n # 其他错误，不重试直接抛出\n last_exception = e\n error_str = str(e).lower()\n \n if 'connection' in error_str or 'closed' in error_str:\n logger.error(f\"创建通知失败 - 连接相关错误 - {title}: {e}\")\n else:\n logger.error(f\"创建通知失败 - {title}: {e}\")\n \n # 非连接错误，直接抛出不重试\n raise\n \n # 所有重试都失败了\n error_msg = f\"创建通知失败 - 已重试 {max_retries} 次仍然失败 - {title}\"\n logger.error(error_msg)\n raise RuntimeError(error_msg) from last_exception\n\n\ndef _push_to_websocket(notification: Notification) -> None:\n \"\"\"\n 推送通知到 WebSocket 客户端\n \n - 在 Server 容器中：直接通过 Channel Layer 推送\n - 在 Worker 容器中：通过 API 回调让 Server 推送（因为 Worker 无法访问 Redis）\n \"\"\"\n import os\n \n # 检测是否在 Worker 容器中（有 SERVER_URL 环境变量）\n server_url = os.environ.get(\"SERVER_URL\")\n \n if server_url:\n # Worker 容器：通过 API 回调\n _push_via_api_callback(notification, server_url)\n else:\n # Server 容器：直接推送\n _push_via_channel_layer(notification)\n\n\ndef _push_via_api_callback(notification: Notification, server_url: str) -> None:\n \"\"\"\n 通过 HTTP 回调推送通知（Worker → Server 跨容器通信）\n \n 注意：这不是同进程内的 service 调用 view，而是 Worker 容器\n 通过 HTTP 请求 Server 容器的 /api/callbacks/notification/ 接口。\n Worker 无法直接访问 Redis，需要由 Server 代为推送 WebSocket。\n \"\"\"\n import os\n import requests\n \n try:\n callback_url = f\"{server_url}/api/callbacks/notification/\"\n data = {\n 'id': notification.id,\n 'category': notification.category,\n 'title': notification.title,\n 'message': notification.message,\n 'level': notification.level,\n 'created_at': notification.created_at.isoformat()\n }\n \n # 构建请求头（包含 Worker API Key）\n headers = {'Content-Type': 'application/json'}\n worker_api_key = os.environ.get(\"WORKER_API_KEY\", \"\")\n if worker_api_key:\n headers[\"X-Worker-API-Key\"] = worker_api_key\n \n # verify=False: 远程 Worker 回调 Server 时可能使用自签名证书\n resp = requests.post(callback_url, json=data, headers=headers, timeout=5, verify=False)\n resp.raise_for_status()\n \n logger.debug(f\"通知回调推送成功 - ID: {notification.id}\")\n \n except Exception as e:\n logger.warning(f\"通知回调推送失败 - ID: {notification.id}: {e}\")\n\n\ndef _push_via_channel_layer(notification: Notification) -> None:\n \"\"\"通过 Channel Layer 直接推送通知（Server 容器使用）\"\"\"\n try:\n logger.debug(f\"开始推送通知到 WebSocket - ID: {notification.id}\")\n \n from asgiref.sync import async_to_sync\n from channels.layers import get_channel_layer\n \n # 获取 Channel Layer\n channel_layer = get_channel_layer()\n \n if channel_layer is None:\n logger.warning(\"Channel Layer 未配置，跳过 WebSocket 推送\")\n return\n \n # 构造通知数据\n data = {\n 'type': 'notification.message', # 对应 Consumer 的 notification_message 方法\n 'id': notification.id,\n 'category': notification.category,\n 'title': notification.title,\n 'message': notification.message,\n 'level': notification.level,\n 'created_at': notification.created_at.isoformat()\n }\n \n # 发送到通知组（所有连接的客户端）\n async_to_sync(channel_layer.group_send)(\n 'notifications', # 组名\n data\n )\n \n logger.debug(f\"通知推送成功 - ID: {notification.id}\")\n \n except ImportError as e:\n logger.warning(f\"Channels 模块未安装，跳过 WebSocket 推送: {e}\")\n except Exception as e:\n logger.warning(f\"WebSocket 推送失败 - ID: {notification.id}: {e}\", exc_info=True)\n" }, { "path": "backend/apps/scan/notifications/types.py", "content": "\"\"\"通知系统类型定义\"\"\"\n\nfrom django.db import models\n\n\nclass NotificationLevel(models.TextChoices):\n \"\"\"通知级别\"\"\"\n LOW = 'low', '低'\n MEDIUM = 'medium', '中'\n HIGH = 'high', '高'\n CRITICAL = 'critical', '严重'\n\n\nclass NotificationCategory(models.TextChoices):\n \"\"\"通知分类\"\"\"\n SCAN = 'scan', '扫描任务'\n VULNERABILITY = 'vulnerability', '漏洞发现'\n ASSET = 'asset', '资产发现'\n SYSTEM = 'system', '系统消息'\n" }, { "path": "backend/apps/scan/notifications/urls.py", "content": "\"\"\"\n通知系统 URL 配置\n\"\"\"\n\nfrom django.urls import path\nfrom . import views\nfrom .views import (\n NotificationCollectionView,\n NotificationMarkAllAsReadView,\n NotificationUnreadCountView,\n)\n\napp_name = 'notifications'\n\nurlpatterns = [\n # 通知列表\n path('', NotificationCollectionView.as_view(), name='list'),\n\n # 未读数量\n path('unread-count/', NotificationUnreadCountView.as_view(), name='unread-count'),\n\n # 标记全部已读\n path('mark-all-as-read/', NotificationMarkAllAsReadView.as_view(), name='mark-all-as-read'),\n]\n\n# WebSocket 实时通知路由在 routing.py 中定义：ws://host/ws/notifications/\n" }, { "path": "backend/apps/scan/notifications/views.py", "content": "\"\"\"\n通知系统视图 - REST API 和测试接口\n\"\"\"\n\nimport logging\nfrom typing import Any\nfrom django.http import JsonResponse\nfrom django.utils import timezone\nfrom rest_framework import status\nfrom rest_framework.decorators import api_view\nfrom rest_framework.request import Request\nfrom rest_framework.response import Response\nfrom rest_framework.views import APIView\n\nfrom apps.common.pagination import BasePagination\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom .models import Notification\nfrom .serializers import NotificationSerializer\nfrom .types import NotificationLevel\nfrom .services import NotificationService, NotificationSettingsService\n\nlogger = logging.getLogger(__name__)\n\n\n\n\n\ndef _parse_bool(value: str | None) -> bool | None:\n \"\"\"解析字符串为布尔值\n \n Args:\n value: 字符串值，支持 '1', 'true', 'yes' 为 True；'0', 'false', 'no' 为 False\n \n Returns:\n 布尔值，或 None（如果无法解析）\n \"\"\"\n if value is None:\n return None\n value = str(value).strip().lower()\n if value in {'1', 'true', 'yes'}:\n return True\n if value in {'0', 'false', 'no'}:\n return False\n return None\n\n\n\nclass NotificationCollectionView(APIView):\n \"\"\"通知列表\n \n 支持的方法：\n - GET: 获取通知列表（支持分页和过滤）\n \"\"\"\n pagination_class = BasePagination\n\n def get(self, request: Request) -> Response:\n \"\"\"\n 获取通知列表\n \n URL: GET /api/notifications/?page=1&pageSize=20&level=info&unread=true\n \n 查询参数:\n - page: 页码（默认 1）\n - pageSize: 每页数量（默认 10，最大 1000）\n - level: 通知级别过滤（low/medium/high）\n - unread: 是否未读（true/false）\n \n 返回:\n - results: 通知列表\n - total: 总记录数\n - page: 当前页码\n - page_size: 每页大小\n - total_pages: 总页数\n \"\"\"\n service = NotificationService()\n\n # 按级别过滤\n level_param = request.query_params.get('level')\n level_filter = level_param if level_param in NotificationLevel.values else None\n\n # 按已读状态过滤\n # unread=true: 仅未读 unread=false: 仅已读 unread=None: 全部\n unread_param = _parse_bool(request.query_params.get('unread'))\n\n queryset = service.get_notifications(level=level_filter, unread=unread_param)\n \n # 使用通用分页器\n paginator = self.pagination_class()\n page_obj = paginator.paginate_queryset(queryset, request)\n serializer = NotificationSerializer(page_obj, many=True)\n return paginator.get_paginated_response(serializer.data)\n\n\nclass NotificationUnreadCountView(APIView):\n \"\"\"获取未读通知数量\n \n URL: GET /api/notifications/unread-count/\n \n 功能:\n - 返回当前未读通知的数量\n \n 返回:\n - count: 未读通知数量\n \"\"\"\n\n def get(self, request: Request) -> Response:\n \"\"\"获取未读通知数量\"\"\"\n service = NotificationService()\n count = service.get_unread_count()\n return success_response(data={'count': count})\n\n\nclass NotificationMarkAllAsReadView(APIView):\n \"\"\"标记全部通知为已读\n \n URL: POST /api/notifications/mark-all-as-read/\n \n 功能:\n - 将所有未读通知标记为已读\n - 更新 read_at 时间戳\n \n 返回:\n - updated: 更新的通知数量\n \"\"\"\n\n def post(self, request: Request) -> Response:\n \"\"\"标记全部通知为已读\"\"\"\n service = NotificationService()\n updated = service.mark_all_as_read()\n return success_response(data={'updated': updated})\n\n\nclass NotificationSettingsView(APIView):\n \"\"\"通知设置 API\n \n URL: /api/settings/notifications/\n \n 支持的方法：\n - GET: 获取当前通知设置\n - PUT: 更新通知设置\n \"\"\"\n \n def get(self, request: Request) -> Response:\n \"\"\"获取通知设置\"\"\"\n service = NotificationSettingsService()\n settings = service.get_settings()\n return success_response(data=settings)\n \n def put(self, request: Request) -> Response:\n \"\"\"更新通知设置\"\"\"\n service = NotificationSettingsService()\n settings = service.update_settings(request.data)\n return success_response(data=settings)\n\n\n# ============================================\n# Worker 回调 API\n# ============================================\n\n@api_view(['POST'])\n# 权限由全局 IsAuthenticatedOrPublic 处理，/api/callbacks/* 需要 Worker API Key 认证\ndef notification_callback(request):\n \"\"\"\n 接收 Worker 的通知推送请求\n \n Worker 容器无法直接访问 Redis，通过此 API 回调让 Server 推送 WebSocket。\n 需要 Worker API Key 认证（X-Worker-API-Key Header）。\n \n POST /api/callbacks/notification/\n {\n \"id\": 1,\n \"category\": \"scan\",\n \"title\": \"扫描开始\",\n \"message\": \"...\",\n \"level\": \"info\",\n \"created_at\": \"2025-01-01T00:00:00\"\n }\n \"\"\"\n try:\n data = request.data\n \n # 验证必要字段\n required_fields = ['id', 'category', 'title', 'message', 'level', 'created_at']\n for field in required_fields:\n if field not in data:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=f'Missing field: {field}',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 推送到 WebSocket\n _push_notification_to_websocket(data)\n \n logger.debug(f\"回调通知推送成功 - ID: {data['id']}, Title: {data['title']}\")\n return success_response(data={'status': 'ok'})\n \n except Exception as e:\n logger.error(f\"回调通知处理失败: {e}\", exc_info=True)\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message=str(e),\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n\ndef _push_notification_to_websocket(data: dict):\n \"\"\"推送通知到 WebSocket（Server 端使用）\"\"\"\n from asgiref.sync import async_to_sync\n from channels.layers import get_channel_layer\n \n channel_layer = get_channel_layer()\n if channel_layer is None:\n logger.warning(\"Channel Layer 未配置，跳过 WebSocket 推送\")\n return\n \n # 构造通知数据\n ws_data = {\n 'type': 'notification.message',\n 'id': data['id'],\n 'category': data['category'],\n 'title': data['title'],\n 'message': data['message'],\n 'level': data['level'],\n 'created_at': data['created_at']\n }\n \n # 发送到通知组\n async_to_sync(channel_layer.group_send)(\n 'notifications',\n ws_data\n )\n" }, { "path": "backend/apps/scan/orchestrators/__init__.py", "content": "\"\"\"\n工作流编排器模块\n\n提供工作流编排相关的类和函数\n\"\"\"\n\nfrom .flow_orchestrator import FlowOrchestrator\n\n__all__ = [\n 'FlowOrchestrator',\n]\n" }, { "path": "backend/apps/scan/orchestrators/flow_orchestrator.py", "content": "\"\"\"\n工作流编排器\n\n职责：\n- 解析 YAML 配置\n- 检测扫描类型\n- 提供 Flow 函数映射\n- 生成执行计划\n\n注意：本类只负责准备和解析，不执行 Flow\nFlow 的执行由 initiate_scan_flow (Prefect @flow) 负责\n\"\"\"\n\nimport logging\nimport yaml\nfrom typing import Dict, List, Optional, Callable, Any\n\nfrom apps.scan.configs.command_templates import get_supported_scan_types, EXECUTION_STAGES\n\nlogger = logging.getLogger(__name__)\n\n\nclass FlowOrchestrator:\n \"\"\"\n 工作流编排器\n \n 负责解析 YAML 配置并生成执行计划，不执行具体的 Flow\n \"\"\"\n \n def __init__(self, engine_config: str):\n \"\"\"\n 初始化编排器\n \n Args:\n engine_config: YAML 格式的引擎配置字符串\n \n Raises:\n ValueError: 配置为空或解析失败\n \"\"\"\n if not engine_config or not engine_config.strip():\n raise ValueError(\"引擎配置不能为空\")\n \n try:\n self.config = yaml.safe_load(engine_config) or {}\n except yaml.YAMLError as e:\n logger.error(f\"引擎配置解析失败: {e}\")\n raise ValueError(f\"引擎配置解析失败: {e}\")\n \n if not self.config:\n raise ValueError(\"引擎配置为空\")\n \n # 检测启用的扫描类型\n self.scan_types = self._detect_scan_types()\n \n # 解析所有扫描类型的工具配置\n from apps.scan.utils.config_parser import parse_enabled_tools_from_dict\n self.enabled_tools_by_type = {}\n for scan_type in self.scan_types:\n try:\n enabled_tools = parse_enabled_tools_from_dict(\n scan_type=scan_type,\n parsed_config=self.config\n )\n if enabled_tools:\n self.enabled_tools_by_type[scan_type] = enabled_tools\n logger.debug(f\"✓ {scan_type}: {len(enabled_tools)} 个启用工具\")\n except Exception as e:\n logger.error(f\"解析 {scan_type} 工具配置失败: {e}\")\n raise\n \n logger.info(f\"✓ FlowOrchestrator 初始化完成，{len(self.enabled_tools_by_type)} 个扫描类型有启用的工具\")\n \n def _parse_config(self, engine_config: str) -> Dict:\n \"\"\"\n 解析 YAML 配置\n \n Args:\n engine_config: YAML 格式字符串\n \n Returns:\n dict: 解析后的配置字典\n \n Raises:\n ValueError: 配置为空或解析失败\n \"\"\"\n if not engine_config:\n raise ValueError(\"引擎配置为空，请提供有效的 YAML 配置\")\n \n try:\n config = yaml.safe_load(engine_config)\n if not config:\n raise ValueError(\"YAML 配置解析结果为空\")\n \n logger.info(f\"YAML 配置解析成功，检测到的 key: {list(config.keys())}\")\n return config\n \n except yaml.YAMLError as e:\n raise ValueError(f\"YAML 配置解析失败: {e}\")\n \n def _detect_scan_types(self) -> List[str]:\n \"\"\"\n 检测配置中已启用的扫描类型（按 YAML 顺序）\n \n Returns:\n list: 已启用的扫描类型列表\n \n Raises:\n ValueError: 未检测到有效的扫描类型\n \"\"\"\n # 保持 YAML 中的顺序，且只包含已启用的类型\n supported_scan_types = get_supported_scan_types()\n scan_types = [\n key for key in self.config.keys() \n if key in supported_scan_types and self.is_scan_type_enabled(key)\n ]\n \n if not scan_types:\n raise ValueError(\n f\"未检测到已启用的扫描类型。\\n\"\n f\"配置中的 key: {list(self.config.keys())}\\n\"\n f\"支持的扫描类型: {supported_scan_types}\"\n )\n \n logger.info(f\"检测到已启用的扫描类型（按顺序）: {scan_types}\")\n return scan_types\n \n def is_scan_type_enabled(self, scan_type: str) -> bool:\n \"\"\"\n 判断指定扫描类型是否启用（存在配置且有启用的工具）\n \n Args:\n scan_type: 扫描类型\n \n Returns:\n bool: 是否启用\n \"\"\"\n if scan_type not in self.config:\n return False\n \n scan_config = self.config.get(scan_type, {})\n \n # 子域名发现使用 passive_tools 结构\n if scan_type == 'subdomain_discovery':\n passive_tools = scan_config.get('passive_tools', {})\n for tool_config in passive_tools.values():\n if isinstance(tool_config, dict) and tool_config.get('enabled', False):\n return True\n return False\n \n # 其他扫描类型（包括 screenshot）：检查 tools\n tools = scan_config.get('tools', {})\n for tool_config in tools.values():\n if isinstance(tool_config, dict) and tool_config.get('enabled', False):\n return True\n \n return False\n\n def get_execution_stages(self):\n \"\"\"\n 迭代器：获取所有执行阶段\n \n Yields:\n tuple: (mode, enabled_flows)\n - mode: 执行模式（'sequential' 或 'parallel'）\n - enabled_flows: 该阶段中已启用的扫描类型列表\n \n Example:\n for mode, flows in orchestrator.get_execution_stages():\n if mode == 'sequential':\n for flow in flows:\n execute_flow(flow)\n else: # parallel\n execute_parallel(flows)\n \"\"\"\n for stage in EXECUTION_STAGES:\n # 筛选出已启用的流程\n enabled_flows = [\n flow for flow in stage['flows'] \n if flow in self.scan_types\n ]\n \n # 只返回有启用流程的阶段\n if enabled_flows:\n logger.debug(f\"阶段 {stage['mode']}: {enabled_flows}\")\n yield stage['mode'], enabled_flows\n\n def get_flow_function(self, scan_type: str) -> Optional[Callable]:\n \"\"\"\n 获取指定扫描类型的 Flow 函数（延迟导入）\n \n Args:\n scan_type: 扫描类型\n \n Returns:\n Callable: Flow 函数，如果未实现则返回 None\n \"\"\"\n if scan_type == 'subdomain_discovery':\n from apps.scan.flows.subdomain_discovery_flow import subdomain_discovery_flow\n return subdomain_discovery_flow\n \n elif scan_type == 'port_scan':\n from apps.scan.flows.port_scan_flow import port_scan_flow\n return port_scan_flow\n \n elif scan_type == 'site_scan':\n from apps.scan.flows.site_scan_flow import site_scan_flow\n return site_scan_flow\n \n elif scan_type == 'fingerprint_detect':\n from apps.scan.flows.fingerprint_detect_flow import fingerprint_detect_flow\n return fingerprint_detect_flow\n \n elif scan_type == 'directory_scan':\n from apps.scan.flows.directory_scan_flow import directory_scan_flow\n return directory_scan_flow\n\n elif scan_type == 'url_fetch':\n from apps.scan.flows.url_fetch import url_fetch_flow\n return url_fetch_flow\n \n elif scan_type == 'vuln_scan':\n from apps.scan.flows.vuln_scan import vuln_scan_flow\n return vuln_scan_flow\n \n elif scan_type == 'screenshot':\n from apps.scan.flows.screenshot_flow import screenshot_flow\n return screenshot_flow\n \n else:\n logger.warning(f\"未实现的扫描类型: {scan_type}\")\n return None\n\n" }, { "path": "backend/apps/scan/providers/__init__.py", "content": "\"\"\"\n扫描目标提供者模块\n\n提供统一的目标获取接口，支持多种数据源：\n- DatabaseTargetProvider: 从数据库查询（完整扫描）\n- ListTargetProvider: 使用内存列表（快速扫描阶段1）\n- SnapshotTargetProvider: 从快照表读取（快速扫描阶段2+）\n- PipelineTargetProvider: 使用管道输出（Phase 2）\n\n使用方式：\n from apps.scan.providers import (\n DatabaseTargetProvider,\n ListTargetProvider,\n SnapshotTargetProvider,\n ProviderContext\n )\n \n # 数据库模式（完整扫描）\n provider = DatabaseTargetProvider(target_id=123)\n \n # 列表模式（快速扫描阶段1）\n context = ProviderContext(target_id=1, scan_id=100)\n provider = ListTargetProvider(\n targets=[\"a.test.com\"],\n context=context\n )\n \n # 快照模式（快速扫描阶段2+）\n context = ProviderContext(target_id=1, scan_id=100)\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\",\n context=context\n )\n \n # 使用 Provider\n for host in provider.iter_hosts():\n scan(host)\n\"\"\"\n\nfrom .base import TargetProvider, ProviderContext\nfrom .list_provider import ListTargetProvider\nfrom .database_provider import DatabaseTargetProvider\nfrom .snapshot_provider import SnapshotTargetProvider, SnapshotType\nfrom .pipeline_provider import PipelineTargetProvider, StageOutput\n\n__all__ = [\n 'TargetProvider',\n 'ProviderContext',\n 'ListTargetProvider',\n 'DatabaseTargetProvider',\n 'SnapshotTargetProvider',\n 'SnapshotType',\n 'PipelineTargetProvider',\n 'StageOutput',\n]\n" }, { "path": "backend/apps/scan/providers/base.py", "content": "\"\"\"\n扫描目标提供者基础模块\n\n定义 ProviderContext 数据类和 TargetProvider 抽象基类。\n\"\"\"\n\nimport ipaddress\nimport logging\nfrom abc import ABC, abstractmethod\nfrom dataclasses import dataclass\nfrom typing import TYPE_CHECKING, Iterator, Optional\n\nif TYPE_CHECKING:\n from apps.common.utils import BlacklistFilter\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ProviderContext:\n \"\"\"\n Provider 上下文，携带元数据\n\n Attributes:\n target_id: 关联的 Target ID（用于结果保存），None 表示临时扫描（不保存）\n scan_id: 扫描任务 ID\n \"\"\"\n target_id: Optional[int] = None\n scan_id: Optional[int] = None\n\n\nclass TargetProvider(ABC):\n \"\"\"\n 扫描目标提供者抽象基类\n\n 职责：\n - 提供扫描目标（域名、IP、URL 等）的迭代器\n - 提供黑名单过滤器\n - 携带上下文信息（target_id, scan_id 等）\n - 自动展开 CIDR（子类无需关心）\n\n 使用方式：\n provider = create_target_provider(target_id=123)\n for host in provider.iter_hosts():\n print(host)\n \"\"\"\n\n def __init__(self, context: Optional[ProviderContext] = None):\n self._context = context or ProviderContext()\n\n @property\n def context(self) -> ProviderContext:\n \"\"\"返回 Provider 上下文\"\"\"\n return self._context\n\n @staticmethod\n def _expand_host(host: str) -> Iterator[str]:\n \"\"\"\n 展开主机（如果是 CIDR 则展开为多个 IP，否则直接返回）\n\n 示例：\n \"192.168.1.0/30\" → \"192.168.1.1\", \"192.168.1.2\"\n \"192.168.1.1\" → \"192.168.1.1\"\n \"example.com\" → \"example.com\"\n \"\"\"\n from apps.common.validators import detect_target_type\n from apps.targets.models import Target\n\n host = host.strip()\n if not host:\n return\n\n try:\n target_type = detect_target_type(host)\n\n if target_type == Target.TargetType.CIDR:\n network = ipaddress.ip_network(host, strict=False)\n if network.num_addresses == 1:\n yield str(network.network_address)\n else:\n yield from (str(ip) for ip in network.hosts())\n elif target_type in (Target.TargetType.IP, Target.TargetType.DOMAIN):\n yield host\n except ValueError as e:\n logger.warning(\"跳过无效的主机格式 '%s': %s\", host, str(e))\n\n def iter_hosts(self) -> Iterator[str]:\n \"\"\"迭代主机列表（域名/IP），自动展开 CIDR\"\"\"\n for host in self._iter_raw_hosts():\n yield from self._expand_host(host)\n\n @abstractmethod\n def _iter_raw_hosts(self) -> Iterator[str]:\n \"\"\"迭代原始主机列表（可能包含 CIDR），子类实现\"\"\"\n pass\n\n @abstractmethod\n def iter_urls(self) -> Iterator[str]:\n \"\"\"迭代 URL 列表\"\"\"\n pass\n\n @abstractmethod\n def get_blacklist_filter(self) -> Optional['BlacklistFilter']:\n \"\"\"获取黑名单过滤器，返回 None 表示不过滤\"\"\"\n pass\n\n @property\n def target_id(self) -> Optional[int]:\n \"\"\"返回关联的 target_id，临时扫描返回 None\"\"\"\n return self._context.target_id\n\n @property\n def scan_id(self) -> Optional[int]:\n \"\"\"返回关联的 scan_id\"\"\"\n return self._context.scan_id\n" }, { "path": "backend/apps/scan/providers/database_provider.py", "content": "\"\"\"\n数据库目标提供者模块\n\n提供基于数据库查询的目标提供者实现。\n\"\"\"\n\nimport logging\nfrom typing import TYPE_CHECKING, Iterator, Optional\n\nfrom .base import ProviderContext, TargetProvider\n\nif TYPE_CHECKING:\n from apps.common.utils import BlacklistFilter\n\nlogger = logging.getLogger(__name__)\n\n\nclass DatabaseTargetProvider(TargetProvider):\n \"\"\"\n 数据库目标提供者 - 从 Target 表及关联资产表查询\n\n 数据来源：\n - iter_hosts(): 根据 Target 类型返回域名/IP\n - iter_urls(): WebSite/Endpoint 表，带回退链\n\n 使用方式：\n provider = DatabaseTargetProvider(target_id=123)\n for host in provider.iter_hosts():\n scan(host)\n \"\"\"\n\n def __init__(self, target_id: int, context: Optional[ProviderContext] = None):\n ctx = context or ProviderContext()\n ctx.target_id = target_id\n super().__init__(ctx)\n self._blacklist_filter: Optional['BlacklistFilter'] = None\n\n def iter_hosts(self) -> Iterator[str]:\n \"\"\"从数据库查询主机列表，自动展开 CIDR 并应用黑名单过滤\"\"\"\n blacklist = self.get_blacklist_filter()\n\n for host in self._iter_raw_hosts():\n for expanded_host in self._expand_host(host):\n if not blacklist or blacklist.is_allowed(expanded_host):\n yield expanded_host\n\n def _iter_raw_hosts(self) -> Iterator[str]:\n \"\"\"从数据库查询原始主机列表（可能包含 CIDR）\"\"\"\n from apps.asset.services.asset.subdomain_service import SubdomainService\n from apps.targets.models import Target\n from apps.targets.services import TargetService\n\n target = TargetService().get_target(self.target_id)\n if not target:\n logger.warning(\"Target ID %d 不存在\", self.target_id)\n return\n\n if target.type == Target.TargetType.DOMAIN:\n yield target.name\n for domain in SubdomainService().iter_subdomain_names_by_target(\n target_id=self.target_id,\n chunk_size=1000\n ):\n if domain != target.name:\n yield domain\n\n elif target.type in (Target.TargetType.IP, Target.TargetType.CIDR):\n yield target.name\n\n def iter_urls(self) -> Iterator[str]:\n \"\"\"从数据库查询 URL 列表，使用回退链：Endpoint → WebSite → Default\"\"\"\n from apps.scan.services.target_export_service import (\n DataSource,\n _iter_urls_with_fallback,\n )\n\n blacklist = self.get_blacklist_filter()\n\n for url, _ in _iter_urls_with_fallback(\n target_id=self.target_id,\n sources=[DataSource.ENDPOINT, DataSource.WEBSITE, DataSource.DEFAULT],\n blacklist_filter=blacklist\n ):\n yield url\n\n def get_blacklist_filter(self) -> Optional['BlacklistFilter']:\n \"\"\"获取黑名单过滤器（延迟加载）\"\"\"\n if self._blacklist_filter is None:\n from apps.common.services import BlacklistService\n from apps.common.utils import BlacklistFilter\n rules = BlacklistService().get_rules(self.target_id)\n self._blacklist_filter = BlacklistFilter(rules)\n return self._blacklist_filter\n" }, { "path": "backend/apps/scan/providers/list_provider.py", "content": "\"\"\"\n列表目标提供者模块\n\n提供基于内存列表的目标提供者实现。\n\"\"\"\n\nfrom typing import Iterator, Optional, List\n\nfrom .base import TargetProvider, ProviderContext\n\n\nclass ListTargetProvider(TargetProvider):\n \"\"\"\n 列表目标提供者 - 直接使用内存中的列表\n \n 用于快速扫描、临时扫描等场景，只扫描用户指定的目标。\n \n 特点：\n - 不查询数据库\n - 不应用黑名单过滤（用户明确指定的目标）\n - 不关联 target_id（由调用方负责创建 Target）\n - 自动检测输入类型（URL/域名/IP/CIDR）\n - 自动展开 CIDR\n \n 使用方式：\n # 快速扫描：用户提供目标，自动识别类型\n provider = ListTargetProvider(targets=[\n \"example.com\", # 域名\n \"192.168.1.0/24\", # CIDR（自动展开）\n \"https://api.example.com\" # URL\n ])\n for host in provider.iter_hosts():\n scan(host)\n \"\"\"\n \n def __init__(\n self,\n targets: Optional[List[str]] = None,\n context: Optional[ProviderContext] = None\n ):\n \"\"\"\n 初始化列表目标提供者\n \n Args:\n targets: 目标列表（自动识别类型：URL/域名/IP/CIDR）\n context: Provider 上下文\n \"\"\"\n from apps.common.validators import detect_input_type\n \n ctx = context or ProviderContext()\n super().__init__(ctx)\n \n # 自动分类目标\n self._hosts = []\n self._urls = []\n \n if targets:\n for target in targets:\n target = target.strip()\n if not target:\n continue\n \n try:\n input_type = detect_input_type(target)\n if input_type == 'url':\n self._urls.append(target)\n else:\n # domain/ip/cidr 都作为 host\n self._hosts.append(target)\n except ValueError:\n # 无法识别类型，默认作为 host\n self._hosts.append(target)\n \n def _iter_raw_hosts(self) -> Iterator[str]:\n \"\"\"迭代原始主机列表（可能包含 CIDR）\"\"\"\n yield from self._hosts\n \n def iter_urls(self) -> Iterator[str]:\n \"\"\"迭代 URL 列表\"\"\"\n yield from self._urls\n \n def get_blacklist_filter(self) -> None:\n \"\"\"列表模式不使用黑名单过滤\"\"\"\n return None\n" }, { "path": "backend/apps/scan/providers/pipeline_provider.py", "content": "\"\"\"\n管道目标提供者模块\n\n提供基于管道阶段输出的目标提供者实现。\n用于 Phase 2 管道模式的阶段间数据传递。\n\"\"\"\n\nfrom dataclasses import dataclass, field\nfrom typing import Iterator, Optional, List, Dict, Any\n\nfrom .base import TargetProvider, ProviderContext\n\n\n@dataclass\nclass StageOutput:\n \"\"\"\n 阶段输出数据\n \n 用于在管道阶段之间传递数据。\n \n Attributes:\n hosts: 主机列表（域名/IP）\n urls: URL 列表\n new_targets: 新发现的目标列表\n stats: 统计信息\n success: 是否成功\n error: 错误信息\n \"\"\"\n hosts: List[str] = field(default_factory=list)\n urls: List[str] = field(default_factory=list)\n new_targets: List[str] = field(default_factory=list)\n stats: Dict[str, Any] = field(default_factory=dict)\n success: bool = True\n error: Optional[str] = None\n\n\nclass PipelineTargetProvider(TargetProvider):\n \"\"\"\n 管道目标提供者 - 使用上一阶段的输出\n \n 用于 Phase 2 管道模式的阶段间数据传递。\n \n 特点：\n - 不查询数据库\n - 不应用黑名单过滤（数据已在上一阶段过滤）\n - 直接使用 StageOutput 中的数据\n \n 使用方式（Phase 2）：\n stage1_output = stage1.run(input)\n provider = PipelineTargetProvider(\n previous_output=stage1_output,\n target_id=123\n )\n for host in provider.iter_hosts():\n stage2.scan(host)\n \"\"\"\n \n def __init__(\n self,\n previous_output: StageOutput,\n target_id: Optional[int] = None,\n context: Optional[ProviderContext] = None\n ):\n \"\"\"\n 初始化管道目标提供者\n \n Args:\n previous_output: 上一阶段的输出\n target_id: 可选，关联到某个 Target（用于保存结果）\n context: Provider 上下文\n \"\"\"\n ctx = context or ProviderContext(target_id=target_id)\n super().__init__(ctx)\n self._previous_output = previous_output\n \n def _iter_raw_hosts(self) -> Iterator[str]:\n \"\"\"迭代上一阶段输出的原始主机（可能包含 CIDR）\"\"\"\n yield from self._previous_output.hosts\n \n def iter_urls(self) -> Iterator[str]:\n \"\"\"迭代上一阶段输出的 URL\"\"\"\n yield from self._previous_output.urls\n \n def get_blacklist_filter(self) -> None:\n \"\"\"管道传递的数据已经过滤过了\"\"\"\n return None\n \n @property\n def previous_output(self) -> StageOutput:\n \"\"\"返回上一阶段的输出\"\"\"\n return self._previous_output\n" }, { "path": "backend/apps/scan/providers/snapshot_provider.py", "content": "\"\"\"\n快照目标提供者模块\n\n提供基于快照表的目标提供者实现。\n用于快速扫描的阶段间数据传递。\n\"\"\"\n\nimport logging\nfrom typing import Iterator, Optional, Literal\n\nfrom .base import TargetProvider, ProviderContext\n\nlogger = logging.getLogger(__name__)\n\n# 快照类型定义\nSnapshotType = Literal[\"subdomain\", \"website\", \"endpoint\", \"host_port\"]\n\n\nclass SnapshotTargetProvider(TargetProvider):\n \"\"\"\n 快照目标提供者 - 从快照表读取本次扫描的数据\n \n 用于快速扫描的阶段间数据传递，解决精确扫描控制问题。\n \n 核心价值：\n - 只返回本次扫描（scan_id）发现的资产\n - 避免扫描历史数据（DatabaseTargetProvider 会扫描所有历史资产）\n \n 特点：\n - 通过 scan_id 过滤快照表\n - 不应用黑名单过滤（数据已在上一阶段过滤）\n - 支持多种快照类型（subdomain/website/endpoint/host_port）\n \n 使用场景：\n # 快速扫描流程\n 用户输入: a.test.com\n 创建 Target: test.com (id=1)\n 创建 Scan: scan_id=100\n \n # 阶段1: 子域名发现\n provider = ListTargetProvider(\n targets=[\"a.test.com\"],\n context=ProviderContext(target_id=1, scan_id=100)\n )\n # 发现: b.a.test.com, c.a.test.com\n # 保存: SubdomainSnapshot(scan_id=100) + Subdomain(target_id=1)\n \n # 阶段2: 端口扫描\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\",\n context=ProviderContext(target_id=1, scan_id=100)\n )\n # 只返回: b.a.test.com, c.a.test.com（本次扫描发现的）\n # 不返回: www.test.com, api.test.com（历史数据）\n \n # 阶段3: 网站扫描\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"host_port\",\n context=ProviderContext(target_id=1, scan_id=100)\n )\n # 只返回本次扫描发现的 IP:Port\n \"\"\"\n \n def __init__(\n self,\n scan_id: int,\n snapshot_type: SnapshotType,\n context: Optional[ProviderContext] = None\n ):\n \"\"\"\n 初始化快照目标提供者\n \n Args:\n scan_id: 扫描任务 ID（必需）\n snapshot_type: 快照类型\n - \"subdomain\": 子域名快照（SubdomainSnapshot）\n - \"website\": 网站快照（WebsiteSnapshot）\n - \"endpoint\": 端点快照（EndpointSnapshot）\n - \"host_port\": 主机端口映射快照（HostPortMappingSnapshot）\n context: Provider 上下文\n \"\"\"\n ctx = context or ProviderContext()\n ctx.scan_id = scan_id\n super().__init__(ctx)\n self._scan_id = scan_id\n self._snapshot_type = snapshot_type\n \n def _iter_raw_hosts(self) -> Iterator[str]:\n \"\"\"\n 从快照表迭代主机列表\n \n 根据 snapshot_type 选择不同的快照表：\n - subdomain: SubdomainSnapshot.name\n - host_port: HostPortMappingSnapshot.host (返回 host:port 格式，不经过验证)\n \"\"\"\n if self._snapshot_type == \"subdomain\":\n from apps.asset.services.snapshot import SubdomainSnapshotsService\n service = SubdomainSnapshotsService()\n yield from service.iter_subdomain_names_by_scan(\n scan_id=self._scan_id,\n chunk_size=1000\n )\n \n elif self._snapshot_type == \"host_port\":\n # host_port 类型不使用 _iter_raw_hosts，直接在 iter_hosts 中处理\n # 这里返回空，避免被基类的 iter_hosts 调用\n return\n \n else:\n # 其他类型暂不支持 iter_hosts\n logger.warning(\n \"快照类型 '%s' 不支持 iter_hosts，返回空迭代器\",\n self._snapshot_type\n )\n return\n \n def iter_hosts(self) -> Iterator[str]:\n \"\"\"\n 迭代主机列表\n \n 对于 host_port 类型，返回 host:port 格式，不经过 CIDR 展开验证\n \"\"\"\n if self._snapshot_type == \"host_port\":\n # host_port 类型直接返回 host:port，不经过 _expand_host 验证\n from apps.asset.services.snapshot import HostPortMappingSnapshotsService\n service = HostPortMappingSnapshotsService()\n queryset = service.get_by_scan(scan_id=self._scan_id)\n for mapping in queryset.iterator(chunk_size=1000):\n yield f\"{mapping.host}:{mapping.port}\"\n else:\n # 其他类型使用基类的 iter_hosts（会调用 _iter_raw_hosts 并展开 CIDR）\n yield from super().iter_hosts()\n \n def iter_urls(self) -> Iterator[str]:\n \"\"\"\n 从快照表迭代 URL 列表\n \n 根据 snapshot_type 选择不同的快照表：\n - website: WebsiteSnapshot.url\n - endpoint: EndpointSnapshot.url\n \"\"\"\n if self._snapshot_type == \"website\":\n from apps.asset.services.snapshot import WebsiteSnapshotsService\n service = WebsiteSnapshotsService()\n yield from service.iter_website_urls_by_scan(\n scan_id=self._scan_id,\n chunk_size=1000\n )\n \n elif self._snapshot_type == \"endpoint\":\n from apps.asset.services.snapshot import EndpointSnapshotsService\n service = EndpointSnapshotsService()\n # 从快照表获取端点 URL\n queryset = service.get_by_scan(scan_id=self._scan_id)\n for endpoint in queryset.iterator(chunk_size=1000):\n yield endpoint.url\n \n else:\n # 其他类型暂不支持 iter_urls\n logger.warning(\n \"快照类型 '%s' 不支持 iter_urls，返回空迭代器\",\n self._snapshot_type\n )\n return\n \n def get_blacklist_filter(self) -> None:\n \"\"\"快照数据已在上一阶段过滤过了\"\"\"\n return None\n \n @property\n def snapshot_type(self) -> SnapshotType:\n \"\"\"返回快照类型\"\"\"\n return self._snapshot_type\n" }, { "path": "backend/apps/scan/providers/tests/__init__.py", "content": "\"\"\"\n扫描目标提供者测试模块\n\"\"\"\n" }, { "path": "backend/apps/scan/providers/tests/test_common_properties.py", "content": "\"\"\"\n通用属性测试\n\n包含跨多个 Provider 的通用属性测试：\n- Property 4: Context Propagation\n- Property 5: Non-Database Provider Blacklist Filter\n- Property 7: CIDR Expansion Consistency\n\"\"\"\n\nimport pytest\nfrom hypothesis import given, strategies as st, settings\nfrom ipaddress import IPv4Network\n\nfrom apps.scan.providers import (\n ProviderContext,\n ListTargetProvider,\n DatabaseTargetProvider,\n PipelineTargetProvider,\n SnapshotTargetProvider\n)\nfrom apps.scan.providers.pipeline_provider import StageOutput\n\n\nclass TestContextPropagation:\n \"\"\"\n Property 4: Context Propagation\n \n *For any* ProviderContext，传入 Provider 构造函数后，\n Provider 的 target_id 和 scan_id 属性应该与 context 中的值一致。\n \n **Validates: Requirements 1.3, 1.5, 7.4, 7.5**\n \"\"\"\n \n @given(\n target_id=st.integers(min_value=1, max_value=10000),\n scan_id=st.integers(min_value=1, max_value=10000)\n )\n @settings(max_examples=100)\n def test_property_4_list_provider_context_propagation(self, target_id, scan_id):\n \"\"\"\n Property 4: Context Propagation (ListTargetProvider)\n \n Feature: scan-target-provider, Property 4: Context Propagation\n **Validates: Requirements 1.3, 1.5, 7.4, 7.5**\n \"\"\"\n ctx = ProviderContext(target_id=target_id, scan_id=scan_id)\n provider = ListTargetProvider(targets=[\"example.com\"], context=ctx)\n \n assert provider.target_id == target_id\n assert provider.scan_id == scan_id\n assert provider.context.target_id == target_id\n assert provider.context.scan_id == scan_id\n \n @given(\n target_id=st.integers(min_value=1, max_value=10000),\n scan_id=st.integers(min_value=1, max_value=10000)\n )\n @settings(max_examples=100)\n def test_property_4_database_provider_context_propagation(self, target_id, scan_id):\n \"\"\"\n Property 4: Context Propagation (DatabaseTargetProvider)\n \n Feature: scan-target-provider, Property 4: Context Propagation\n **Validates: Requirements 1.3, 1.5, 7.4, 7.5**\n \"\"\"\n ctx = ProviderContext(target_id=999, scan_id=scan_id)\n # DatabaseTargetProvider 会覆盖 context 中的 target_id\n provider = DatabaseTargetProvider(target_id=target_id, context=ctx)\n \n assert provider.target_id == target_id # 使用构造函数参数\n assert provider.scan_id == scan_id # 使用 context 中的值\n assert provider.context.target_id == target_id\n assert provider.context.scan_id == scan_id\n \n @given(\n target_id=st.integers(min_value=1, max_value=10000),\n scan_id=st.integers(min_value=1, max_value=10000)\n )\n @settings(max_examples=100)\n def test_property_4_pipeline_provider_context_propagation(self, target_id, scan_id):\n \"\"\"\n Property 4: Context Propagation (PipelineTargetProvider)\n \n Feature: scan-target-provider, Property 4: Context Propagation\n **Validates: Requirements 1.3, 1.5, 7.4, 7.5**\n \"\"\"\n ctx = ProviderContext(target_id=target_id, scan_id=scan_id)\n stage_output = StageOutput(hosts=[\"example.com\"])\n provider = PipelineTargetProvider(previous_output=stage_output, context=ctx)\n \n assert provider.target_id == target_id\n assert provider.scan_id == scan_id\n assert provider.context.target_id == target_id\n assert provider.context.scan_id == scan_id\n \n @given(\n target_id=st.integers(min_value=1, max_value=10000),\n scan_id=st.integers(min_value=1, max_value=10000)\n )\n @settings(max_examples=100)\n def test_property_4_snapshot_provider_context_propagation(self, target_id, scan_id):\n \"\"\"\n Property 4: Context Propagation (SnapshotTargetProvider)\n \n Feature: scan-target-provider, Property 4: Context Propagation\n **Validates: Requirements 1.3, 1.5, 7.4, 7.5**\n \"\"\"\n ctx = ProviderContext(target_id=target_id, scan_id=999)\n # SnapshotTargetProvider 会覆盖 context 中的 scan_id\n provider = SnapshotTargetProvider(\n scan_id=scan_id,\n snapshot_type=\"subdomain\",\n context=ctx\n )\n \n assert provider.target_id == target_id # 使用 context 中的值\n assert provider.scan_id == scan_id # 使用构造函数参数\n assert provider.context.target_id == target_id\n assert provider.context.scan_id == scan_id\n\n\nclass TestNonDatabaseProviderBlacklistFilter:\n \"\"\"\n Property 5: Non-Database Provider Blacklist Filter\n \n *For any* ListTargetProvider 或 PipelineTargetProvider 实例，\n get_blacklist_filter() 方法应该返回 None。\n \n **Validates: Requirements 3.4, 9.4, 9.5**\n \"\"\"\n \n @given(targets=st.lists(st.text(min_size=1, max_size=20), max_size=10))\n @settings(max_examples=100)\n def test_property_5_list_provider_no_blacklist(self, targets):\n \"\"\"\n Property 5: Non-Database Provider Blacklist Filter (ListTargetProvider)\n \n Feature: scan-target-provider, Property 5: Non-Database Provider Blacklist Filter\n **Validates: Requirements 3.4, 9.4, 9.5**\n \"\"\"\n provider = ListTargetProvider(targets=targets)\n assert provider.get_blacklist_filter() is None\n \n @given(hosts=st.lists(st.text(min_size=1, max_size=20), max_size=10))\n @settings(max_examples=100)\n def test_property_5_pipeline_provider_no_blacklist(self, hosts):\n \"\"\"\n Property 5: Non-Database Provider Blacklist Filter (PipelineTargetProvider)\n \n Feature: scan-target-provider, Property 5: Non-Database Provider Blacklist Filter\n **Validates: Requirements 3.4, 9.4, 9.5**\n \"\"\"\n stage_output = StageOutput(hosts=hosts)\n provider = PipelineTargetProvider(previous_output=stage_output)\n assert provider.get_blacklist_filter() is None\n \n def test_property_5_snapshot_provider_no_blacklist(self):\n \"\"\"\n Property 5: Non-Database Provider Blacklist Filter (SnapshotTargetProvider)\n \n Feature: scan-target-provider, Property 5: Non-Database Provider Blacklist Filter\n **Validates: Requirements 3.4, 9.4, 9.5**\n \"\"\"\n provider = SnapshotTargetProvider(scan_id=1, snapshot_type=\"subdomain\")\n assert provider.get_blacklist_filter() is None\n\n\nclass TestCIDRExpansionConsistency:\n \"\"\"\n Property 7: CIDR Expansion Consistency\n \n *For any* CIDR 字符串（如 \"192.168.1.0/24\"），所有 Provider 的 iter_hosts() \n 方法应该将其展开为相同的单个 IP 地址列表。\n \n **Validates: Requirements 1.1, 3.6**\n \"\"\"\n \n @given(\n # 生成小的 CIDR 范围以避免测试超时\n network_prefix=st.integers(min_value=1, max_value=254),\n cidr_suffix=st.integers(min_value=28, max_value=30) # /28 = 16 IPs, /30 = 4 IPs\n )\n @settings(max_examples=50, deadline=None)\n def test_property_7_cidr_expansion_consistency(self, network_prefix, cidr_suffix):\n \"\"\"\n Property 7: CIDR Expansion Consistency\n \n Feature: scan-target-provider, Property 7: CIDR Expansion Consistency\n **Validates: Requirements 1.1, 3.6**\n \n For any CIDR string, all Providers should expand it to the same IP list.\n \"\"\"\n cidr = f\"192.168.{network_prefix}.0/{cidr_suffix}\"\n \n # 计算预期的 IP 列表\n network = IPv4Network(cidr, strict=False)\n # 排除网络地址和广播地址\n expected_ips = [str(ip) for ip in network.hosts()]\n \n # 如果 CIDR 太小（/31 或 /32），使用所有地址\n if not expected_ips:\n expected_ips = [str(ip) for ip in network]\n \n # ListTargetProvider\n list_provider = ListTargetProvider(targets=[cidr])\n list_result = list(list_provider.iter_hosts())\n \n # PipelineTargetProvider\n stage_output = StageOutput(hosts=[cidr])\n pipeline_provider = PipelineTargetProvider(previous_output=stage_output)\n pipeline_result = list(pipeline_provider.iter_hosts())\n \n # 验证：所有 Provider 展开的结果应该一致\n assert list_result == expected_ips, f\"ListProvider CIDR expansion mismatch for {cidr}\"\n assert pipeline_result == expected_ips, f\"PipelineProvider CIDR expansion mismatch for {cidr}\"\n assert list_result == pipeline_result, f\"Providers produce different results for {cidr}\"\n \n def test_cidr_expansion_with_multiple_cidrs(self):\n \"\"\"测试多个 CIDR 的展开一致性\"\"\"\n cidrs = [\"192.168.1.0/30\", \"10.0.0.0/30\"]\n \n # 计算预期结果\n expected_ips = []\n for cidr in cidrs:\n network = IPv4Network(cidr, strict=False)\n expected_ips.extend([str(ip) for ip in network.hosts()])\n \n # ListTargetProvider\n list_provider = ListTargetProvider(targets=cidrs)\n list_result = list(list_provider.iter_hosts())\n \n # PipelineTargetProvider\n stage_output = StageOutput(hosts=cidrs)\n pipeline_provider = PipelineTargetProvider(previous_output=stage_output)\n pipeline_result = list(pipeline_provider.iter_hosts())\n \n # 验证\n assert list_result == expected_ips\n assert pipeline_result == expected_ips\n assert list_result == pipeline_result\n \n def test_mixed_hosts_and_cidrs(self):\n \"\"\"测试混合主机和 CIDR 的处理\"\"\"\n targets = [\"example.com\", \"192.168.1.0/30\", \"test.com\"]\n \n # 计算预期结果\n network = IPv4Network(\"192.168.1.0/30\", strict=False)\n cidr_ips = [str(ip) for ip in network.hosts()]\n expected = [\"example.com\"] + cidr_ips + [\"test.com\"]\n \n # ListTargetProvider\n list_provider = ListTargetProvider(targets=targets)\n list_result = list(list_provider.iter_hosts())\n \n # 验证\n assert list_result == expected\n" }, { "path": "backend/apps/scan/providers/tests/test_database_provider.py", "content": "\"\"\"\nDatabaseTargetProvider 属性测试\n\nProperty 7: DatabaseTargetProvider Blacklist Application\n*For any* 带有黑名单规则的 target_id，DatabaseTargetProvider 的 iter_hosts() 和 iter_urls() \n应该过滤掉匹配黑名单规则的目标。\n\n**Validates: Requirements 2.3, 10.1, 10.2, 10.3**\n\"\"\"\n\nimport pytest\nfrom unittest.mock import patch, MagicMock\nfrom hypothesis import given, strategies as st, settings\n\nfrom apps.scan.providers.database_provider import DatabaseTargetProvider\nfrom apps.scan.providers.base import ProviderContext\n\n\n# 生成有效域名的策略\ndef valid_domain_strategy():\n \"\"\"生成有效的域名\"\"\"\n label = st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=2,\n max_size=10\n )\n return st.builds(\n lambda a, b, c: f\"{a}.{b}.{c}\",\n label, label, st.sampled_from(['com', 'net', 'org', 'io'])\n )\n\n\nclass MockBlacklistFilter:\n \"\"\"模拟黑名单过滤器\"\"\"\n \n def __init__(self, blocked_patterns: list):\n self.blocked_patterns = blocked_patterns\n \n def is_allowed(self, target: str) -> bool:\n \"\"\"检查目标是否被允许（不在黑名单中）\"\"\"\n for pattern in self.blocked_patterns:\n if pattern in target:\n return False\n return True\n\n\nclass TestDatabaseTargetProviderProperties:\n \"\"\"DatabaseTargetProvider 属性测试类\"\"\"\n \n @given(\n hosts=st.lists(valid_domain_strategy(), min_size=1, max_size=20),\n blocked_keyword=st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=2,\n max_size=5\n )\n )\n @settings(max_examples=100)\n def test_property_7_blacklist_filters_hosts(self, hosts, blocked_keyword):\n \"\"\"\n Property 7: DatabaseTargetProvider Blacklist Application (hosts)\n \n Feature: scan-target-provider, Property 7: DatabaseTargetProvider Blacklist Application\n **Validates: Requirements 2.3, 10.1, 10.2, 10.3**\n \n For any set of hosts and a blacklist keyword, the provider should filter out\n all hosts containing the blocked keyword.\n \"\"\"\n # 创建模拟的黑名单过滤器\n mock_filter = MockBlacklistFilter([blocked_keyword])\n \n # 创建 provider 并注入模拟的黑名单过滤器\n provider = DatabaseTargetProvider(target_id=1)\n provider._blacklist_filter = mock_filter\n \n # 模拟 Target 和 SubdomainService\n mock_target = MagicMock()\n mock_target.type = 'domain'\n mock_target.name = hosts[0] if hosts else 'example.com'\n \n with patch('apps.targets.services.TargetService') as mock_target_service, \\\n patch('apps.asset.services.asset.subdomain_service.SubdomainService') as mock_subdomain_service:\n \n mock_target_service.return_value.get_target.return_value = mock_target\n mock_subdomain_service.return_value.iter_subdomain_names_by_target.return_value = iter(hosts[1:] if len(hosts) > 1 else [])\n \n # 获取结果\n result = list(provider.iter_hosts())\n \n # 验证：所有结果都不包含被阻止的关键词\n for host in result:\n assert blocked_keyword not in host, f\"Host '{host}' should be filtered by blacklist keyword '{blocked_keyword}'\"\n \n # 验证：所有不包含关键词的主机都应该在结果中\n if hosts:\n all_hosts = [hosts[0]] + [h for h in hosts[1:] if h != hosts[0]]\n expected_allowed = [h for h in all_hosts if blocked_keyword not in h]\n else:\n expected_allowed = []\n \n assert set(result) == set(expected_allowed)\n\n\nclass TestDatabaseTargetProviderUnit:\n \"\"\"DatabaseTargetProvider 单元测试类\"\"\"\n \n def test_target_id_in_context(self):\n \"\"\"测试 target_id 正确设置到上下文中\"\"\"\n provider = DatabaseTargetProvider(target_id=123)\n assert provider.target_id == 123\n assert provider.context.target_id == 123\n \n def test_context_propagation(self):\n \"\"\"测试上下文传递\"\"\"\n ctx = ProviderContext(scan_id=789)\n provider = DatabaseTargetProvider(target_id=123, context=ctx)\n \n assert provider.target_id == 123 # target_id 被覆盖\n assert provider.scan_id == 789\n \n def test_blacklist_filter_lazy_loading(self):\n \"\"\"测试黑名单过滤器延迟加载\"\"\"\n provider = DatabaseTargetProvider(target_id=123)\n \n # 初始时 _blacklist_filter 为 None\n assert provider._blacklist_filter is None\n \n # 模拟 BlacklistService\n with patch('apps.common.services.BlacklistService') as mock_service, \\\n patch('apps.common.utils.BlacklistFilter') as mock_filter_class:\n \n mock_service.return_value.get_rules.return_value = []\n mock_filter_instance = MagicMock()\n mock_filter_class.return_value = mock_filter_instance\n \n # 第一次调用\n result1 = provider.get_blacklist_filter()\n assert result1 == mock_filter_instance\n \n # 第二次调用应该返回缓存的实例\n result2 = provider.get_blacklist_filter()\n assert result2 == mock_filter_instance\n \n # BlacklistService 只应该被调用一次\n mock_service.return_value.get_rules.assert_called_once_with(123)\n \n def test_nonexistent_target_returns_empty(self):\n \"\"\"测试不存在的 target 返回空迭代器\"\"\"\n provider = DatabaseTargetProvider(target_id=99999)\n \n with patch('apps.targets.services.TargetService') as mock_service, \\\n patch('apps.common.services.BlacklistService') as mock_blacklist_service:\n \n mock_service.return_value.get_target.return_value = None\n mock_blacklist_service.return_value.get_rules.return_value = []\n \n result = list(provider.iter_hosts())\n assert result == []\n" }, { "path": "backend/apps/scan/providers/tests/test_list_provider.py", "content": "\"\"\"\nListTargetProvider 属性测试\n\nProperty 1: ListTargetProvider Round-Trip\n*For any* 主机列表和 URL 列表，创建 ListTargetProvider 后迭代 iter_hosts() 和 iter_urls() \n应该返回与输入相同的元素（顺序相同）。\n\n**Validates: Requirements 3.1, 3.2**\n\"\"\"\n\nimport pytest\nfrom hypothesis import given, strategies as st, settings, assume\n\nfrom apps.scan.providers.list_provider import ListTargetProvider\nfrom apps.scan.providers.base import ProviderContext\n\n\n# 生成有效域名的策略\ndef valid_domain_strategy():\n \"\"\"生成有效的域名\"\"\"\n # 生成简单的域名格式: subdomain.domain.tld\n label = st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=2,\n max_size=10\n )\n return st.builds(\n lambda a, b, c: f\"{a}.{b}.{c}\",\n label, label, st.sampled_from(['com', 'net', 'org', 'io'])\n )\n\n# 生成有效 IP 地址的策略\ndef valid_ip_strategy():\n \"\"\"生成有效的 IPv4 地址\"\"\"\n octet = st.integers(min_value=1, max_value=254)\n return st.builds(\n lambda a, b, c, d: f\"{a}.{b}.{c}.{d}\",\n octet, octet, octet, octet\n )\n\n# 组合策略：域名或 IP\nhost_strategy = st.one_of(valid_domain_strategy(), valid_ip_strategy())\n\n# 生成有效 URL 的策略\ndef valid_url_strategy():\n \"\"\"生成有效的 URL\"\"\"\n domain = valid_domain_strategy()\n return st.builds(\n lambda d, path: f\"https://{d}/{path}\" if path else f\"https://{d}\",\n domain,\n st.one_of(\n st.just(\"\"),\n st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=1,\n max_size=10\n )\n )\n )\n\nurl_strategy = valid_url_strategy()\n\n\nclass TestListTargetProviderProperties:\n \"\"\"ListTargetProvider 属性测试类\"\"\"\n \n @given(hosts=st.lists(host_strategy, max_size=50))\n @settings(max_examples=100)\n def test_property_1_hosts_round_trip(self, hosts):\n \"\"\"\n Property 1: ListTargetProvider Round-Trip (hosts)\n \n Feature: scan-target-provider, Property 1: ListTargetProvider Round-Trip\n **Validates: Requirements 3.1, 3.2**\n \n For any host list, creating a ListTargetProvider and iterating iter_hosts()\n should return the same elements in the same order.\n \"\"\"\n # ListTargetProvider 使用 targets 参数，自动分类为 hosts/urls\n provider = ListTargetProvider(targets=hosts)\n result = list(provider.iter_hosts())\n assert result == hosts\n \n @given(urls=st.lists(url_strategy, max_size=50))\n @settings(max_examples=100)\n def test_property_1_urls_round_trip(self, urls):\n \"\"\"\n Property 1: ListTargetProvider Round-Trip (urls)\n \n Feature: scan-target-provider, Property 1: ListTargetProvider Round-Trip\n **Validates: Requirements 3.1, 3.2**\n \n For any URL list, creating a ListTargetProvider and iterating iter_urls()\n should return the same elements in the same order.\n \"\"\"\n # ListTargetProvider 使用 targets 参数，自动分类为 hosts/urls\n provider = ListTargetProvider(targets=urls)\n result = list(provider.iter_urls())\n assert result == urls\n \n @given(\n hosts=st.lists(host_strategy, max_size=30),\n urls=st.lists(url_strategy, max_size=30)\n )\n @settings(max_examples=100)\n def test_property_1_combined_round_trip(self, hosts, urls):\n \"\"\"\n Property 1: ListTargetProvider Round-Trip (combined)\n \n Feature: scan-target-provider, Property 1: ListTargetProvider Round-Trip\n **Validates: Requirements 3.1, 3.2**\n \n For any combination of hosts and URLs, both should round-trip correctly.\n \"\"\"\n # 合并 hosts 和 urls，ListTargetProvider 会自动分类\n combined = hosts + urls\n provider = ListTargetProvider(targets=combined)\n \n hosts_result = list(provider.iter_hosts())\n urls_result = list(provider.iter_urls())\n \n assert hosts_result == hosts\n assert urls_result == urls\n\n\nclass TestListTargetProviderUnit:\n \"\"\"ListTargetProvider 单元测试类\"\"\"\n \n def test_empty_lists(self):\n \"\"\"测试空列表返回空迭代器 - Requirements 3.5\"\"\"\n provider = ListTargetProvider()\n assert list(provider.iter_hosts()) == []\n assert list(provider.iter_urls()) == []\n \n def test_blacklist_filter_returns_none(self):\n \"\"\"测试黑名单过滤器返回 None - Requirements 3.4\"\"\"\n provider = ListTargetProvider(targets=[\"example.com\"])\n assert provider.get_blacklist_filter() is None\n \n def test_target_id_association(self):\n \"\"\"测试 target_id 关联 - Requirements 3.3\"\"\"\n ctx = ProviderContext(target_id=123)\n provider = ListTargetProvider(targets=[\"example.com\"], context=ctx)\n assert provider.target_id == 123\n \n def test_context_propagation(self):\n \"\"\"测试上下文传递\"\"\"\n ctx = ProviderContext(target_id=456, scan_id=789)\n provider = ListTargetProvider(targets=[\"example.com\"], context=ctx)\n \n assert provider.target_id == 456\n assert provider.scan_id == 789\n" }, { "path": "backend/apps/scan/providers/tests/test_pipeline_provider.py", "content": "\"\"\"\nPipelineTargetProvider 属性测试\n\nProperty 3: PipelineTargetProvider Round-Trip\n*For any* StageOutput 对象，PipelineTargetProvider 的 iter_hosts() 和 iter_urls() \n应该返回与 StageOutput 中 hosts 和 urls 列表相同的元素。\n\n**Validates: Requirements 5.1, 5.2**\n\"\"\"\n\nimport pytest\nfrom hypothesis import given, strategies as st, settings\n\nfrom apps.scan.providers.pipeline_provider import PipelineTargetProvider, StageOutput\nfrom apps.scan.providers.base import ProviderContext\n\n\n# 生成有效域名的策略\ndef valid_domain_strategy():\n \"\"\"生成有效的域名\"\"\"\n label = st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=2,\n max_size=10\n )\n return st.builds(\n lambda a, b, c: f\"{a}.{b}.{c}\",\n label, label, st.sampled_from(['com', 'net', 'org', 'io'])\n )\n\n# 生成有效 IP 地址的策略\ndef valid_ip_strategy():\n \"\"\"生成有效的 IPv4 地址\"\"\"\n octet = st.integers(min_value=1, max_value=254)\n return st.builds(\n lambda a, b, c, d: f\"{a}.{b}.{c}.{d}\",\n octet, octet, octet, octet\n )\n\n# 组合策略：域名或 IP\nhost_strategy = st.one_of(valid_domain_strategy(), valid_ip_strategy())\n\n# 生成有效 URL 的策略\ndef valid_url_strategy():\n \"\"\"生成有效的 URL\"\"\"\n domain = valid_domain_strategy()\n return st.builds(\n lambda d, path: f\"https://{d}/{path}\" if path else f\"https://{d}\",\n domain,\n st.one_of(\n st.just(\"\"),\n st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=1,\n max_size=10\n )\n )\n )\n\nurl_strategy = valid_url_strategy()\n\n\nclass TestPipelineTargetProviderProperties:\n \"\"\"PipelineTargetProvider 属性测试类\"\"\"\n \n @given(hosts=st.lists(host_strategy, max_size=50))\n @settings(max_examples=100)\n def test_property_3_hosts_round_trip(self, hosts):\n \"\"\"\n Property 3: PipelineTargetProvider Round-Trip (hosts)\n \n Feature: scan-target-provider, Property 3: PipelineTargetProvider Round-Trip\n **Validates: Requirements 5.1, 5.2**\n \n For any StageOutput with hosts, PipelineTargetProvider should return\n the same hosts in the same order.\n \"\"\"\n stage_output = StageOutput(hosts=hosts)\n provider = PipelineTargetProvider(previous_output=stage_output)\n result = list(provider.iter_hosts())\n assert result == hosts\n \n @given(urls=st.lists(url_strategy, max_size=50))\n @settings(max_examples=100)\n def test_property_3_urls_round_trip(self, urls):\n \"\"\"\n Property 3: PipelineTargetProvider Round-Trip (urls)\n \n Feature: scan-target-provider, Property 3: PipelineTargetProvider Round-Trip\n **Validates: Requirements 5.1, 5.2**\n \n For any StageOutput with urls, PipelineTargetProvider should return\n the same urls in the same order.\n \"\"\"\n stage_output = StageOutput(urls=urls)\n provider = PipelineTargetProvider(previous_output=stage_output)\n result = list(provider.iter_urls())\n assert result == urls\n \n @given(\n hosts=st.lists(host_strategy, max_size=30),\n urls=st.lists(url_strategy, max_size=30)\n )\n @settings(max_examples=100)\n def test_property_3_combined_round_trip(self, hosts, urls):\n \"\"\"\n Property 3: PipelineTargetProvider Round-Trip (combined)\n \n Feature: scan-target-provider, Property 3: PipelineTargetProvider Round-Trip\n **Validates: Requirements 5.1, 5.2**\n \n For any StageOutput with both hosts and urls, both should round-trip correctly.\n \"\"\"\n stage_output = StageOutput(hosts=hosts, urls=urls)\n provider = PipelineTargetProvider(previous_output=stage_output)\n \n hosts_result = list(provider.iter_hosts())\n urls_result = list(provider.iter_urls())\n \n assert hosts_result == hosts\n assert urls_result == urls\n\n\nclass TestPipelineTargetProviderUnit:\n \"\"\"PipelineTargetProvider 单元测试类\"\"\"\n \n def test_empty_stage_output(self):\n \"\"\"测试空 StageOutput 返回空迭代器 - Requirements 5.5\"\"\"\n stage_output = StageOutput()\n provider = PipelineTargetProvider(previous_output=stage_output)\n \n assert list(provider.iter_hosts()) == []\n assert list(provider.iter_urls()) == []\n \n def test_blacklist_filter_returns_none(self):\n \"\"\"测试黑名单过滤器返回 None - Requirements 5.3\"\"\"\n stage_output = StageOutput(hosts=[\"example.com\"])\n provider = PipelineTargetProvider(previous_output=stage_output)\n assert provider.get_blacklist_filter() is None\n \n def test_target_id_association(self):\n \"\"\"测试 target_id 关联 - Requirements 5.4\"\"\"\n stage_output = StageOutput(hosts=[\"example.com\"])\n provider = PipelineTargetProvider(previous_output=stage_output, target_id=123)\n assert provider.target_id == 123\n \n def test_context_propagation(self):\n \"\"\"测试上下文传递\"\"\"\n ctx = ProviderContext(target_id=456, scan_id=789)\n stage_output = StageOutput(hosts=[\"example.com\"])\n provider = PipelineTargetProvider(previous_output=stage_output, context=ctx)\n \n assert provider.target_id == 456\n assert provider.scan_id == 789\n \n def test_previous_output_property(self):\n \"\"\"测试 previous_output 属性\"\"\"\n stage_output = StageOutput(hosts=[\"example.com\"], urls=[\"https://example.com\"])\n provider = PipelineTargetProvider(previous_output=stage_output)\n \n assert provider.previous_output is stage_output\n assert provider.previous_output.hosts == [\"example.com\"]\n assert provider.previous_output.urls == [\"https://example.com\"]\n \n def test_stage_output_with_metadata(self):\n \"\"\"测试带元数据的 StageOutput\"\"\"\n stage_output = StageOutput(\n hosts=[\"example.com\"],\n urls=[\"https://example.com\"],\n new_targets=[\"new.example.com\"],\n stats={\"count\": 1},\n success=True,\n error=None\n )\n provider = PipelineTargetProvider(previous_output=stage_output)\n \n assert list(provider.iter_hosts()) == [\"example.com\"]\n assert list(provider.iter_urls()) == [\"https://example.com\"]\n assert provider.previous_output.new_targets == [\"new.example.com\"]\n assert provider.previous_output.stats == {\"count\": 1}\n" }, { "path": "backend/apps/scan/providers/tests/test_snapshot_provider.py", "content": "\"\"\"\nSnapshotTargetProvider 单元测试\n\"\"\"\n\nimport pytest\nfrom unittest.mock import Mock, patch\n\nfrom apps.scan.providers import SnapshotTargetProvider, ProviderContext\n\n\nclass TestSnapshotTargetProvider:\n \"\"\"SnapshotTargetProvider 测试类\"\"\"\n \n def test_init_with_scan_id_and_type(self):\n \"\"\"测试初始化\"\"\"\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\"\n )\n \n assert provider.scan_id == 100\n assert provider.snapshot_type == \"subdomain\"\n assert provider.target_id is None # 默认 context\n \n def test_init_with_context(self):\n \"\"\"测试带 context 初始化\"\"\"\n ctx = ProviderContext(target_id=1, scan_id=100)\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\",\n context=ctx\n )\n \n assert provider.scan_id == 100\n assert provider.target_id == 1\n assert provider.snapshot_type == \"subdomain\"\n \n @patch('apps.asset.services.snapshot.SubdomainSnapshotsService')\n def test_iter_hosts_subdomain(self, mock_service_class):\n \"\"\"测试从子域名快照迭代主机\"\"\"\n # Mock service\n mock_service = Mock()\n mock_service.iter_subdomain_names_by_scan.return_value = iter([\n \"a.example.com\",\n \"b.example.com\"\n ])\n mock_service_class.return_value = mock_service\n \n # 创建 provider\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\"\n )\n \n # 迭代主机\n hosts = list(provider.iter_hosts())\n \n assert hosts == [\"a.example.com\", \"b.example.com\"]\n mock_service.iter_subdomain_names_by_scan.assert_called_once_with(\n scan_id=100,\n chunk_size=1000\n )\n \n @patch('apps.asset.services.snapshot.HostPortMappingSnapshotsService')\n def test_iter_hosts_host_port(self, mock_service_class):\n \"\"\"测试从主机端口映射快照迭代主机\"\"\"\n # Mock queryset\n mock_mapping1 = Mock()\n mock_mapping1.host = \"example.com\"\n mock_mapping1.port = 80\n \n mock_mapping2 = Mock()\n mock_mapping2.host = \"example.com\"\n mock_mapping2.port = 443\n \n mock_queryset = Mock()\n mock_queryset.iterator.return_value = iter([mock_mapping1, mock_mapping2])\n \n # Mock service\n mock_service = Mock()\n mock_service.get_by_scan.return_value = mock_queryset\n mock_service_class.return_value = mock_service\n \n # 创建 provider\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"host_port\"\n )\n \n # 迭代主机\n hosts = list(provider.iter_hosts())\n \n assert hosts == [\"example.com:80\", \"example.com:443\"]\n mock_service.get_by_scan.assert_called_once_with(scan_id=100)\n \n @patch('apps.asset.services.snapshot.WebsiteSnapshotsService')\n def test_iter_urls_website(self, mock_service_class):\n \"\"\"测试从网站快照迭代 URL\"\"\"\n # Mock service\n mock_service = Mock()\n mock_service.iter_website_urls_by_scan.return_value = iter([\n \"http://example.com\",\n \"https://example.com\"\n ])\n mock_service_class.return_value = mock_service\n \n # 创建 provider\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"website\"\n )\n \n # 迭代 URL\n urls = list(provider.iter_urls())\n \n assert urls == [\"http://example.com\", \"https://example.com\"]\n mock_service.iter_website_urls_by_scan.assert_called_once_with(\n scan_id=100,\n chunk_size=1000\n )\n \n @patch('apps.asset.services.snapshot.EndpointSnapshotsService')\n def test_iter_urls_endpoint(self, mock_service_class):\n \"\"\"测试从端点快照迭代 URL\"\"\"\n # Mock queryset\n mock_endpoint1 = Mock()\n mock_endpoint1.url = \"http://example.com/api/v1\"\n \n mock_endpoint2 = Mock()\n mock_endpoint2.url = \"http://example.com/api/v2\"\n \n mock_queryset = Mock()\n mock_queryset.iterator.return_value = iter([mock_endpoint1, mock_endpoint2])\n \n # Mock service\n mock_service = Mock()\n mock_service.get_by_scan.return_value = mock_queryset\n mock_service_class.return_value = mock_service\n \n # 创建 provider\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"endpoint\"\n )\n \n # 迭代 URL\n urls = list(provider.iter_urls())\n \n assert urls == [\"http://example.com/api/v1\", \"http://example.com/api/v2\"]\n mock_service.get_by_scan.assert_called_once_with(scan_id=100)\n \n def test_iter_hosts_unsupported_type(self):\n \"\"\"测试不支持的快照类型（iter_hosts）\"\"\"\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"website\" # website 不支持 iter_hosts\n )\n \n hosts = list(provider.iter_hosts())\n assert hosts == []\n \n def test_iter_urls_unsupported_type(self):\n \"\"\"测试不支持的快照类型（iter_urls）\"\"\"\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\" # subdomain 不支持 iter_urls\n )\n \n urls = list(provider.iter_urls())\n assert urls == []\n \n def test_get_blacklist_filter(self):\n \"\"\"测试黑名单过滤器（快照模式不使用黑名单）\"\"\"\n provider = SnapshotTargetProvider(\n scan_id=100,\n snapshot_type=\"subdomain\"\n )\n \n assert provider.get_blacklist_filter() is None\n \n def test_context_propagation(self):\n \"\"\"测试上下文传递\"\"\"\n ctx = ProviderContext(target_id=456, scan_id=789)\n provider = SnapshotTargetProvider(\n scan_id=100, # 会被 context 覆盖\n snapshot_type=\"subdomain\",\n context=ctx\n )\n \n assert provider.target_id == 456\n assert provider.scan_id == 100 # scan_id 在 __init__ 中被设置\n" }, { "path": "backend/apps/scan/repositories/__init__.py", "content": "\"\"\"\nScan Repositories 模块\n\n提供 Scan 模型的数据访问层实现\n其他模型的 Repository 应从各自的 app 导入\n\"\"\"\n\n# Django ORM 实现\nfrom .django_scan_repository import DjangoScanRepository\nfrom .scheduled_scan_repository import DjangoScheduledScanRepository, ScheduledScanDTO\n\n# 为了向后兼容，保留 ScanRepository 别名\nScanRepository = DjangoScanRepository\n\n__all__ = [\n # 实现类\n 'DjangoScanRepository',\n 'DjangoScheduledScanRepository',\n 'ScheduledScanDTO',\n # 向后兼容别名\n 'ScanRepository',\n]\n\n" }, { "path": "backend/apps/scan/repositories/django_scan_repository.py", "content": "\"\"\"\nScan 数据访问层 Django ORM 实现\n\n基于 Django ORM 的 Scan Repository 实现类\n\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nfrom typing import List, Tuple, Dict\nfrom datetime import datetime\n\nfrom django.db import transaction, DatabaseError\nfrom django.db.models import QuerySet, F, Value, Func, Count\nfrom django.utils import timezone\n\nfrom apps.scan.models import Scan\nfrom apps.targets.models import Target\nfrom apps.common.definitions import ScanStatus\nfrom apps.common.decorators import auto_ensure_db_connection\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoScanRepository:\n \"\"\"基于 Django ORM 的 Scan 数据访问层实现\"\"\"\n \n # ==================== 基础 CRUD 操作 ====================\n \n \n def get_by_id(self,\n scan_id: int, \n prefetch_relations: bool = False,\n for_update: bool = False\n ) -> Scan | None:\n \"\"\"\n 根据 ID 获取扫描任务\n \n Args:\n scan_id: 扫描任务 ID\n prefetch_relations: 是否预加载关联对象（target, worker）\n 默认 False，只在需要展示关联信息时设为 True\n for_update: 是否加锁（用于更新场景）\n \n Returns:\n Scan 对象或 None\n \"\"\"\n try:\n # 根据是否需要更新来决定是否加锁\n if for_update:\n queryset = Scan.objects.select_for_update() # type: ignore # pylint: disable=no-member\n else:\n queryset = Scan.objects # type: ignore # pylint: disable=no-member\n \n # 预加载关联对象（性能优化：默认不加载）\n if prefetch_relations:\n queryset = queryset.select_related('target', 'worker')\n \n return queryset.get(id=scan_id)\n except Scan.DoesNotExist: # type: ignore # pylint: disable=no-member\n logger.warning(\"Scan 不存在 - Scan ID: %s\", scan_id)\n return None\n \n \n def get_by_id_for_update(self, scan_id: int) -> Scan | None:\n \"\"\"\n 根据 ID 获取扫描任务（加锁）\n \n 用于需要更新的场景，避免并发冲突。\n 不预加载关联对象，保持查询最小化，提高加锁性能。\n \n Args:\n scan_id: 扫描任务 ID\n \n Returns:\n Scan 对象或 None\n \n Note:\n - 使用默认的阻塞模式（等待锁释放）\n - 不包含关联对象（target, worker），如需关联对象请使用 get_by_id()\n \"\"\"\n try:\n return Scan.objects.select_for_update().get(id=scan_id) # type: ignore # pylint: disable=no-member\n except Scan.DoesNotExist: # type: ignore # pylint: disable=no-member\n logger.warning(\"Scan 不存在 - Scan ID: %s\", scan_id)\n return None\n \n \n def exists(self, scan_id: int) -> bool:\n \"\"\"\n 检查扫描任务是否存在\n \n Args:\n scan_id: 扫描任务 ID\n \n Returns:\n 是否存在\n \"\"\"\n return Scan.objects.filter(id=scan_id).exists()\n \n \n def create(self,\n target: Target,\n engine_ids: List[int],\n engine_names: List[str],\n yaml_configuration: str,\n results_dir: str,\n status: ScanStatus = ScanStatus.INITIATED\n ) -> Scan:\n \"\"\"\n 创建扫描任务\n \n Args:\n target: 扫描目标\n engine_ids: 引擎 ID 列表\n engine_names: 引擎名称列表\n yaml_configuration: YAML 格式的扫描配置\n results_dir: 结果目录\n status: 初始状态\n \n Returns:\n 创建的 Scan 对象\n \"\"\"\n scan = Scan(\n target=target,\n engine_ids=engine_ids,\n engine_names=engine_names,\n yaml_configuration=yaml_configuration,\n results_dir=results_dir,\n status=status,\n container_ids=[]\n )\n scan.save()\n logger.debug(\"创建 Scan - ID: %s, Target: %s\", scan.id, target.name)\n return scan\n \n \n def bulk_create(self, scans: List[Scan]) -> List[Scan]:\n \"\"\"\n 批量创建扫描任务\n \n Args:\n scans: Scan 对象列表\n \n Returns:\n 创建的 Scan 对象列表\n \"\"\"\n created_scans = Scan.objects.bulk_create(scans) # type: ignore # pylint: disable=no-member\n logger.debug(\"批量创建 Scan - 数量: %d\", len(created_scans))\n return created_scans\n \n \n def soft_delete_by_ids(self, scan_ids: List[int]) -> int:\n \"\"\"\n 根据 ID 列表批量软删除 Scan\n \n Args:\n scan_ids: Scan ID 列表\n \n Returns:\n 软删除的记录数\n \"\"\"\n try:\n updated_count = (\n Scan.objects\n .filter(id__in=scan_ids)\n .update(deleted_at=timezone.now())\n )\n logger.debug(\n \"批量软删除 Scan 成功 - Count: %s, 更新记录: %s\",\n len(scan_ids),\n updated_count\n )\n return updated_count\n except Exception as e:\n logger.error(\n \"批量软删除 Scan 失败 - IDs: %s, 错误: %s\",\n scan_ids,\n e\n )\n raise\n\n def hard_delete_by_ids(self, scan_ids: List[int]) -> Tuple[int, Dict[str, int]]:\n \"\"\"\n 根据 ID 列表硬删除 Scan（使用数据库级 CASCADE）\n \n Args:\n scan_ids: Scan ID 列表\n \n Returns:\n (删除的记录数, 删除详情字典)\n \"\"\"\n try:\n batch_size = 1000\n total_deleted = 0\n \n logger.debug(f\"开始批量删除 {len(scan_ids)} 个 Scan（数据库 CASCADE）...\")\n \n for i in range(0, len(scan_ids), batch_size):\n batch_ids = scan_ids[i:i + batch_size]\n count, _ = Scan.all_objects.filter(id__in=batch_ids).delete()\n total_deleted += count\n logger.debug(f\"批次删除完成: {len(batch_ids)} 个 Scan，删除 {count} 条记录\")\n \n deleted_details = {\n 'scans': len(scan_ids),\n 'total': total_deleted,\n 'note': 'Database CASCADE - detailed stats unavailable'\n }\n \n logger.debug(\n \"批量硬删除成功（CASCADE）- Scan数: %s, 总删除记录: %s\",\n len(scan_ids),\n total_deleted\n )\n \n return total_deleted, deleted_details\n \n except Exception as e:\n logger.error(\n \"批量硬删除失败（CASCADE）- Scan数: %s, 错误: %s\",\n len(scan_ids),\n str(e),\n exc_info=True\n )\n raise\n \n\n \n # ==================== 查询操作 ====================\n \n \n def get_all(self, prefetch_relations: bool = True) -> QuerySet[Scan]:\n \"\"\"\n 获取所有扫描任务\n \n Args:\n prefetch_relations: 是否预加载关联对象（target, worker）\n \n Returns:\n Scan QuerySet\n \"\"\"\n queryset = Scan.objects.all() # type: ignore # pylint: disable=no-member\n if prefetch_relations:\n queryset = queryset.select_related('target', 'worker')\n return queryset.order_by('-created_at')\n \n \n def get_statistics(self) -> dict:\n \"\"\"\n 获取扫描任务统计数据\n \n Returns:\n 统计数据字典\n \n Note:\n 使用缓存字段聚合，性能优异\n \"\"\"\n from django.db.models import Sum\n \n # 基础统计\n total_scans = Scan.objects.count() # type: ignore # pylint: disable=no-member\n \n # 按状态统计\n running_scans = Scan.objects.filter(status='running').count() # type: ignore # pylint: disable=no-member\n completed_scans = Scan.objects.filter(status='completed').count() # type: ignore # pylint: disable=no-member\n failed_scans = Scan.objects.filter(status='failed').count() # type: ignore # pylint: disable=no-member\n \n # 使用缓存字段聚合统计（只统计已完成的扫描）\n aggregated = Scan.objects.filter(status='completed').aggregate( # type: ignore # pylint: disable=no-member\n total_vulns=Sum('cached_vulns_total'),\n total_subdomains=Sum('cached_subdomains_count'),\n total_endpoints=Sum('cached_endpoints_count'),\n total_websites=Sum('cached_websites_count'),\n total_ips=Sum('cached_ips_count'),\n )\n \n total_vulns = aggregated['total_vulns'] or 0\n total_subdomains = aggregated['total_subdomains'] or 0\n total_endpoints = aggregated['total_endpoints'] or 0\n total_websites = aggregated['total_websites'] or 0\n total_ips = aggregated['total_ips'] or 0\n \n return {\n 'total': total_scans,\n 'running': running_scans,\n 'completed': completed_scans,\n 'failed': failed_scans,\n 'total_vulns': total_vulns,\n 'total_subdomains': total_subdomains,\n 'total_endpoints': total_endpoints,\n 'total_websites': total_websites,\n 'total_ips': total_ips,\n 'total_assets': total_subdomains + total_endpoints + total_websites + total_ips,\n }\n \n \n \n # ==================== 状态更新操作 ====================\n \n \n @transaction.atomic\n def update_status(self,\n scan_id: int,\n status: ScanStatus,\n error_message: str | None = None,\n stopped_at: datetime | None = None\n ) -> bool:\n \"\"\"\n 更新扫描任务状态\n \n Args:\n scan_id: 扫描任务 ID\n status: 新状态\n error_message: 错误消息（可选）\n stopped_at: 结束时间（可选，由调用方决定是否传递）\n \n Returns:\n 是否更新成功\n \n Note:\n Repository 层不判断业务状态,只负责数据更新\n created_at 是自动设置的，不需要手动传递\n \"\"\"\n scan = self.get_by_id_for_update(scan_id)\n if not scan:\n return False\n \n scan.status = status\n \n if error_message:\n if len(error_message) > 2000:\n scan.error_message = error_message[:1980] + \"... (已截断)\"\n logger.warning(\n \"错误信息过长（%d 字符），已截断 - Scan ID: %s\",\n len(error_message), scan_id\n )\n else:\n scan.error_message = error_message\n \n # 根据传递的参数更新时间戳（由调用方决定）\n if stopped_at is not None:\n scan.stopped_at = stopped_at\n \n scan.save()\n logger.debug(\n \"更新 Scan 状态 - ID: %s, 状态: %s\",\n scan_id,\n ScanStatus(status).label\n )\n return True\n \n \n def append_container_id(self, scan_id: int, container_id: str) -> bool:\n \"\"\"\n 追加容器 ID 到 container_ids 数组（并发安全）\n \n 使用 PostgreSQL 的 array_append 函数在数据库层面进行原子操作，\n 避免并发场景下的 Race Condition。\n \n Args:\n scan_id: 扫描任务 ID\n container_id: Docker 容器 ID\n \n Returns:\n 是否追加成功\n \n Note:\n - 使用 F 表达式和 ArrayAppend 确保并发安全\n - 生成的 SQL: UPDATE scan SET container_ids = array_append(container_ids, ?)\n \"\"\"\n try:\n container_field = Scan._meta.get_field('container_ids')\n updated_count = Scan.objects.filter(id=scan_id).update( # type: ignore\n container_ids=Func(\n F('container_ids'),\n Value(container_id),\n function='ARRAY_APPEND',\n output_field=container_field\n )\n )\n \n if updated_count > 0:\n logger.debug(\"追加容器 ID - Scan ID: %s, Container ID: %s\", scan_id, container_id)\n return True\n else:\n logger.warning(\"Scan 不存在，无法追加容器 ID - Scan ID: %s\", scan_id)\n return False\n except DatabaseError as e:\n logger.error(\"追加容器 ID 失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n return False\n \n \n def update_worker(self, scan_id: int, worker_id: int) -> bool:\n \"\"\"\n 更新扫描任务的 Worker ID\n \n Args:\n scan_id: 扫描任务 ID\n worker_id: Worker 节点 ID\n \n Returns:\n 是否更新成功\n \"\"\"\n try:\n updated_count = Scan.objects.filter(id=scan_id).update(worker_id=worker_id) # type: ignore\n \n if updated_count > 0:\n logger.debug(\"更新 Worker ID - Scan ID: %s, Worker ID: %s\", scan_id, worker_id)\n return True\n else:\n logger.warning(\"Scan 不存在，无法更新 Worker ID - Scan ID: %s\", scan_id)\n return False\n except DatabaseError as e:\n logger.error(\"更新 Worker ID 失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n return False\n \n \n def update_cached_stats(self, scan_id: int) -> dict | None:\n \"\"\"\n 更新扫描任务的缓存统计数据\n \n 使用 Django ORM 聚合查询，避免原生 SQL，保持数据库抽象\n \n Args:\n scan_id: 扫描任务 ID\n \n Returns:\n 成功返回统计数据字典，失败返回 None\n \"\"\"\n try:\n from apps.asset.models import VulnerabilitySnapshot\n\n scan = self.get_by_id(scan_id, prefetch_relations=False)\n if not scan:\n logger.error(\"Scan 不存在，无法更新缓存统计数据 - Scan ID: %s\", scan_id)\n return None\n \n # 统计快照数据（用于扫描历史）\n # IP 数量需要按 IP 去重统计\n ips_count = scan.host_port_mapping_snapshots.values('ip').distinct().count()\n\n # 漏洞统计：按扫描维度基于 VulnerabilitySnapshot 聚合\n vuln_qs = VulnerabilitySnapshot.objects.filter(scan_id=scan_id)\n total_vulns = vuln_qs.count()\n\n severity_stats = {\n 'critical': 0,\n 'high': 0,\n 'medium': 0,\n 'low': 0,\n }\n\n for row in vuln_qs.values('severity').annotate(count=Count('id')):\n sev = (row.get('severity') or '').lower()\n count = row.get('count') or 0\n if sev in severity_stats:\n severity_stats[sev] = count\n \n stats = {\n 'subdomains': scan.subdomain_snapshots.count(),\n 'websites': scan.website_snapshots.count(), \n 'endpoints': scan.endpoint_snapshots.count(),\n 'ips': ips_count,\n 'directories': scan.directory_snapshots.count(),\n 'screenshots': scan.screenshot_snapshots.count(),\n 'vulns_total': total_vulns,\n 'vulns_critical': severity_stats['critical'],\n 'vulns_high': severity_stats['high'],\n 'vulns_medium': severity_stats['medium'],\n 'vulns_low': severity_stats['low'],\n }\n \n # 批量更新字段（使用 cached_ 前缀的字段名）\n cached_stats = {\n 'cached_subdomains_count': stats['subdomains'],\n 'cached_websites_count': stats['websites'], \n 'cached_endpoints_count': stats['endpoints'],\n 'cached_ips_count': stats['ips'],\n 'cached_directories_count': stats['directories'],\n 'cached_screenshots_count': stats['screenshots'],\n 'cached_vulns_total': stats['vulns_total'],\n 'cached_vulns_critical': stats['vulns_critical'],\n 'cached_vulns_high': stats['vulns_high'],\n 'cached_vulns_medium': stats['vulns_medium'],\n 'cached_vulns_low': stats['vulns_low'],\n 'stats_updated_at': timezone.now()\n }\n \n for field, value in cached_stats.items():\n setattr(scan, field, value)\n \n scan.save(update_fields=list(cached_stats.keys()))\n \n logger.debug(\"更新缓存统计数据成功 - Scan ID: %s\", scan_id)\n return stats\n except DatabaseError as e:\n logger.exception(\"数据库错误：更新缓存统计数据失败 - Scan ID: %s\", scan_id)\n return None\n except Exception as e:\n logger.error(\"更新缓存统计数据失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n return None\n \n \n def update_status_if_match(self,\n scan_id: int,\n current_status: ScanStatus,\n new_status: ScanStatus,\n stopped_at: datetime | None = None\n ) -> bool:\n \"\"\"\n 条件更新扫描状态（原子操作）\n \n 仅当扫描状态匹配 current_status 时才更新为 new_status。\n 这是一个原子操作，用于处理并发场景下的状态更新。\n \n Args:\n scan_id: 扫描ID\n current_status: 当前期望的状态\n new_status: 要更新到的新状态\n stopped_at: 停止时间（可选）\n \n Returns:\n bool: 是否更新成功（True=更新了记录，False=未更新）\n \"\"\"\n try:\n update_fields = {\n 'status': new_status,\n }\n \n if stopped_at:\n update_fields['stopped_at'] = stopped_at\n \n # 原子操作：只有状态匹配时才更新\n updated = Scan.objects.filter(\n id=scan_id,\n status=current_status\n ).update(**update_fields)\n \n if updated > 0:\n logger.debug(\n \"条件更新扫描状态成功 - Scan ID: %s, %s → %s\",\n scan_id,\n current_status.value,\n new_status.value\n )\n return True\n else:\n logger.debug(\n \"条件更新扫描状态跳过（状态不匹配） - Scan ID: %s, 期望: %s, 目标: %s\",\n scan_id,\n current_status.value,\n new_status.value\n )\n return False\n \n except Exception as e:\n logger.error(\n \"条件更新扫描状态失败 - Scan ID: %s, %s → %s, 错误: %s\",\n scan_id,\n current_status.value,\n new_status.value,\n e\n )\n return False\n \n \n def update_progress(\n self,\n scan_id: int,\n progress: int | None = None,\n current_stage: str | None = None,\n stage_progress: dict | None = None\n ) -> bool:\n \"\"\"\n 更新扫描进度信息\n \n Args:\n scan_id: 扫描任务 ID\n progress: 进度百分比 0-100（可选）\n current_stage: 当前阶段（可选）\n stage_progress: 各阶段详情（可选）\n \n Returns:\n 是否更新成功\n \"\"\"\n try:\n update_fields = {}\n \n if progress is not None:\n update_fields['progress'] = progress\n \n if current_stage is not None:\n update_fields['current_stage'] = current_stage\n \n if stage_progress is not None:\n update_fields['stage_progress'] = stage_progress\n \n if not update_fields:\n return True # 无需更新\n \n updated = Scan.objects.filter(id=scan_id).update(**update_fields)\n \n if updated > 0:\n logger.debug(\n \"更新扫描进度 - Scan ID: %s, progress: %s, stage: %s\",\n scan_id,\n progress,\n current_stage\n )\n return True\n else:\n logger.warning(\"Scan 不存在，无法更新进度 - Scan ID: %s\", scan_id)\n return False\n \n except Exception as e:\n logger.error(\n \"更新扫描进度失败 - Scan ID: %s, 错误: %s\",\n scan_id,\n e\n )\n return False\n\n\n# 导出接口\n__all__ = ['DjangoScanRepository']\n" }, { "path": "backend/apps/scan/repositories/scheduled_scan_repository.py", "content": "\"\"\"\n定时扫描任务 Repository\n\n数据访问层：负责 ScheduledScan 模型的 CRUD 操作\n\"\"\"\nimport logging\nfrom typing import List, Optional, Tuple, Dict\nfrom dataclasses import dataclass\nfrom datetime import datetime\n\nfrom django.db import transaction\nfrom django.utils import timezone\n\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.scan.models import ScheduledScan\n\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ScheduledScanDTO:\n \"\"\"定时扫描 DTO\n \n 扫描模式（二选一）：\n - 组织扫描：设置 organization_id，执行时动态获取组织下所有目标\n - 目标扫描：设置 target_id，扫描单个目标\n - organization_id 优先级高于 target_id\n \"\"\"\n id: Optional[int] = None\n name: str = ''\n engine_ids: List[int] = None # 多引擎支持\n engine_names: List[str] = None # 引擎名称列表\n yaml_configuration: str = '' # YAML 格式的扫描配置\n organization_id: Optional[int] = None # 组织扫描模式\n target_id: Optional[int] = None # 目标扫描模式\n cron_expression: Optional[str] = None\n is_enabled: bool = True\n run_count: int = 0\n last_run_time: Optional[datetime] = None\n next_run_time: Optional[datetime] = None\n created_at: Optional[datetime] = None\n updated_at: Optional[datetime] = None\n \n def __post_init__(self):\n if self.engine_ids is None:\n self.engine_ids = []\n if self.engine_names is None:\n self.engine_names = []\n\n\n@auto_ensure_db_connection\nclass DjangoScheduledScanRepository:\n \"\"\"\n 定时扫描任务 Repository\n \n 职责：\n - CRUD 操作\n - 查询封装\n - 不包含业务逻辑\n \"\"\"\n \n def get_by_id(self, scheduled_scan_id: int) -> Optional[ScheduledScan]:\n \"\"\"根据 ID 查询定时扫描任务\"\"\"\n try:\n return ScheduledScan.objects.select_related('organization', 'target').get(id=scheduled_scan_id)\n except ScheduledScan.DoesNotExist:\n return None\n \n def get_queryset(self):\n \"\"\"\n 获取所有定时扫描任务的查询集\n \n Returns:\n QuerySet\n \"\"\"\n return ScheduledScan.objects.select_related('organization', 'target').order_by('-created_at')\n\n def get_all(self, page: int = 1, page_size: int = 10) -> Tuple[List[ScheduledScan], int]:\n \"\"\"\n 分页查询所有定时扫描任务\n \n Returns:\n (定时扫描列表, 总数)\n \"\"\"\n queryset = self.get_queryset()\n total = queryset.count()\n \n offset = (page - 1) * page_size\n scheduled_scans = list(queryset[offset:offset + page_size])\n \n return scheduled_scans, total\n \n def get_enabled(self) -> List[ScheduledScan]:\n \"\"\"获取所有启用的定时扫描任务\"\"\"\n return list(\n ScheduledScan.objects.select_related('target')\n .filter(is_enabled=True)\n .order_by('-created_at')\n )\n \n def create(self, dto: ScheduledScanDTO) -> ScheduledScan:\n \"\"\"\n 创建定时扫描任务\n \n Args:\n dto: 定时扫描 DTO\n \n Returns:\n 创建的 ScheduledScan 对象\n \"\"\"\n with transaction.atomic():\n scheduled_scan = ScheduledScan.objects.create(\n name=dto.name,\n engine_ids=dto.engine_ids,\n engine_names=dto.engine_names,\n yaml_configuration=dto.yaml_configuration,\n organization_id=dto.organization_id, # 组织扫描模式\n target_id=dto.target_id if not dto.organization_id else None, # 目标扫描模式\n cron_expression=dto.cron_expression,\n is_enabled=dto.is_enabled,\n )\n \n scan_mode = \"organization\" if dto.organization_id else \"target\"\n logger.info(\"创建定时扫描任务 - ID: %s, Name: %s, Mode: %s\", scheduled_scan.id, scheduled_scan.name, scan_mode)\n return scheduled_scan\n \n def update(self, scheduled_scan_id: int, dto: ScheduledScanDTO) -> Optional[ScheduledScan]:\n \"\"\"\n 更新定时扫描任务\n \n Args:\n scheduled_scan_id: 定时扫描 ID\n dto: 更新的数据\n \n Returns:\n 更新后的 ScheduledScan 对象，不存在返回 None\n \"\"\"\n try:\n with transaction.atomic():\n scheduled_scan = ScheduledScan.objects.select_for_update().get(id=scheduled_scan_id)\n \n # 更新基本字段\n if dto.name:\n scheduled_scan.name = dto.name\n if dto.engine_ids is not None:\n scheduled_scan.engine_ids = dto.engine_ids\n if dto.engine_names is not None:\n scheduled_scan.engine_names = dto.engine_names\n if dto.yaml_configuration is not None:\n scheduled_scan.yaml_configuration = dto.yaml_configuration\n if dto.cron_expression is not None:\n scheduled_scan.cron_expression = dto.cron_expression\n if dto.is_enabled is not None:\n scheduled_scan.is_enabled = dto.is_enabled\n if dto.next_run_time is not None:\n scheduled_scan.next_run_time = dto.next_run_time\n \n # 切换扫描模式\n if dto.organization_id is not None:\n # 切换到组织扫描模式\n scheduled_scan.organization_id = dto.organization_id\n scheduled_scan.target_id = None # 清空目标\n elif dto.target_id is not None:\n # 切换到目标扫描模式\n scheduled_scan.organization_id = None # 清空组织\n scheduled_scan.target_id = dto.target_id\n \n scheduled_scan.save()\n \n scan_mode = \"organization\" if scheduled_scan.organization_id else \"target\"\n logger.info(\"更新定时扫描任务 - ID: %s, Mode: %s\", scheduled_scan_id, scan_mode)\n return scheduled_scan\n \n except ScheduledScan.DoesNotExist:\n logger.warning(\"定时扫描任务不存在 - ID: %s\", scheduled_scan_id)\n return None\n \n def update_next_run_time(self, scheduled_scan_id: int, next_run_time: datetime) -> bool:\n \"\"\"更新下次执行时间\"\"\"\n updated = ScheduledScan.objects.filter(id=scheduled_scan_id).update(\n next_run_time=next_run_time\n )\n return updated > 0\n \n def increment_run_count(self, scheduled_scan_id: int) -> bool:\n \"\"\"增加执行次数并更新上次执行时间\"\"\"\n from django.db.models import F\n updated = ScheduledScan.objects.filter(id=scheduled_scan_id).update(\n run_count=F('run_count') + 1,\n last_run_time=timezone.now()\n )\n return updated > 0\n \n def toggle_enabled(self, scheduled_scan_id: int, enabled: bool) -> bool:\n \"\"\"切换启用状态\"\"\"\n updated = ScheduledScan.objects.filter(id=scheduled_scan_id).update(\n is_enabled=enabled\n )\n return updated > 0\n \n def hard_delete(self, scheduled_scan_id: int) -> bool:\n \"\"\"删除定时扫描任务\"\"\"\n deleted, _ = ScheduledScan.objects.filter(id=scheduled_scan_id).delete()\n if deleted > 0:\n logger.info(\"硬删除定时扫描任务 - ID: %s\", scheduled_scan_id)\n return deleted > 0\n" }, { "path": "backend/apps/scan/scripts/__init__.py", "content": "" }, { "path": "backend/apps/scan/scripts/run_cleanup.py", "content": "#!/usr/bin/env python\n\"\"\"\n清理任务脚本\n\n用于动态容器执行清理任务，目前支持：\n- results: 清理过期的扫描结果目录\n\n如需添加其他清理任务，添加对应的 cleanup_xxx() 函数即可。\n\n注意：此脚本只做文件清理，不需要 Django 环境。\n\"\"\"\nimport argparse\nimport shutil\nimport logging\nfrom datetime import datetime, timedelta\nfrom pathlib import Path\n\nlogging.basicConfig(\n level=logging.INFO,\n format='[%(asctime)s] [%(levelname)s] %(message)s',\n datefmt='%Y-%m-%d %H:%M:%S'\n)\nlogger = logging.getLogger(__name__)\n\n\ndef cleanup_results(results_dir: str, retention_days: int) -> dict:\n \"\"\"\n 清理过期的扫描结果目录\n \n Args:\n results_dir: 扫描结果根目录\n retention_days: 保留天数\n \n Returns:\n 清理统计信息\n \"\"\"\n results_path = Path(results_dir)\n if not results_path.exists():\n logger.warning(f\"扫描结果目录不存在: {results_dir}\")\n return {'deleted': 0, 'failed': 0, 'skipped': 0}\n \n cutoff_date = datetime.now() - timedelta(days=retention_days)\n stats = {'deleted': 0, 'failed': 0, 'skipped': 0, 'freed_bytes': 0}\n \n logger.info(f\"开始清理扫描结果 - 目录: {results_dir}, 保留天数: {retention_days}\")\n logger.info(f\"清理截止时间: {cutoff_date}\")\n \n for item in results_path.iterdir():\n if not item.is_dir():\n continue\n \n # 只处理 scan_ 开头的目录\n if not item.name.startswith('scan_'):\n stats['skipped'] += 1\n continue\n \n try:\n # 获取目录修改时间\n mtime = datetime.fromtimestamp(item.stat().st_mtime)\n \n if mtime < cutoff_date:\n # 计算目录大小\n dir_size = sum(f.stat().st_size for f in item.rglob('*') if f.is_file())\n \n # 删除目录\n shutil.rmtree(item)\n stats['deleted'] += 1\n stats['freed_bytes'] += dir_size\n \n logger.info(f\" 已删除: {item.name} (修改时间: {mtime}, 大小: {dir_size / 1024 / 1024:.2f} MB)\")\n else:\n stats['skipped'] += 1\n \n except Exception as e:\n logger.error(f\" 删除失败: {item.name} - {e}\")\n stats['failed'] += 1\n \n logger.info(f\"清理完成 - 删除: {stats['deleted']}, 失败: {stats['failed']}, 跳过: {stats['skipped']}\")\n logger.info(f\"释放空间: {stats['freed_bytes'] / 1024 / 1024:.2f} MB\")\n \n return stats\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\"清理任务\")\n parser.add_argument(\"--results_dir\", type=str, default=\"/opt/xingrin/results\", help=\"扫描结果目录\")\n parser.add_argument(\"--retention_days\", type=int, default=7, help=\"保留天数\")\n \n args = parser.parse_args()\n \n stats = cleanup_results(args.results_dir, args.retention_days)\n \n print(f\"清理完成: {stats}\")\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "backend/apps/scan/scripts/run_delete_scans.py", "content": "#!/usr/bin/env python\n\"\"\"\n扫描硬删除脚本\n\n用于动态容器执行，硬删除已软删除的扫描及其关联数据。\n\"\"\"\nimport sys\nimport argparse\nimport json\nimport logging\nfrom apps.common.container_bootstrap import fetch_config_and_setup_django\n\nlogging.basicConfig(\n level=logging.INFO,\n format='[%(asctime)s] [%(levelname)s] %(message)s',\n datefmt='%Y-%m-%d %H:%M:%S'\n)\nlogger = logging.getLogger(__name__)\n\n\ndef hard_delete_scans(scan_ids: list[int]) -> dict:\n \"\"\"\n 硬删除扫描\n \n Args:\n scan_ids: 扫描 ID 列表\n \n Returns:\n 删除统计信息\n \"\"\"\n from apps.scan.services import ScanService\n \n service = ScanService()\n \n try:\n deleted_count, details = service.hard_delete_scans(scan_ids)\n \n logger.info(f\"✓ 硬删除完成 - 删除数量: {deleted_count}\")\n logger.info(f\" 详情: {details}\")\n \n return {\n 'success': True,\n 'deleted_count': deleted_count,\n 'details': details,\n }\n \n except Exception as e:\n logger.error(f\"硬删除失败: {e}\", exc_info=True)\n return {\n 'success': False,\n 'error': str(e),\n }\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\"硬删除扫描\")\n parser.add_argument(\"--scan_ids\", type=str, required=True, help=\"扫描 ID 列表 (JSON)\")\n \n args = parser.parse_args()\n \n # 解析 scan_ids\n scan_ids = json.loads(args.scan_ids)\n \n logger.info(f\"开始硬删除 {len(scan_ids)} 个扫描\")\n \n # 获取配置并初始化 Django\n fetch_config_and_setup_django()\n \n # 执行删除\n result = hard_delete_scans(scan_ids)\n \n print(f\"删除完成: {result}\")\n \n if not result.get('success'):\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "backend/apps/scan/scripts/run_initiate_scan.py", "content": "#!/usr/bin/env python\n\"\"\"\n扫描任务启动脚本\n\n用于动态扫描容器启动时执行。\n必须在 Django 导入之前获取配置并设置环境变量。\n\"\"\"\nimport argparse\nimport sys\nimport os\nimport traceback\n\n\ndef diagnose_prefect_environment():\n \"\"\"诊断 Prefect 运行环境，输出详细信息用于排查问题\"\"\"\n print(\"\\n\" + \"=\"*60)\n print(\"Prefect 环境诊断\")\n print(\"=\"*60)\n \n # 1. 检查 Prefect 相关环境变量\n print(\"\\n[诊断] Prefect 环境变量:\")\n prefect_vars = [\n 'PREFECT_HOME',\n 'PREFECT_API_URL',\n 'PREFECT_SERVER_EPHEMERAL_ENABLED',\n 'PREFECT_SERVER_EPHEMERAL_STARTUP_TIMEOUT_SECONDS',\n 'PREFECT_SERVER_DATABASE_CONNECTION_URL',\n 'PREFECT_LOGGING_LEVEL',\n 'PREFECT_DEBUG_MODE',\n ]\n for var in prefect_vars:\n value = os.environ.get(var, 'NOT SET')\n print(f\" {var}={value}\")\n \n # 2. 检查 PREFECT_HOME 目录\n prefect_home = os.environ.get('PREFECT_HOME', os.path.expanduser('~/.prefect'))\n print(f\"\\n[诊断] PREFECT_HOME 目录: {prefect_home}\")\n if os.path.exists(prefect_home):\n print(f\" ✓ 目录存在\")\n print(f\" 可写: {os.access(prefect_home, os.W_OK)}\")\n try:\n files = os.listdir(prefect_home)\n print(f\" 文件列表: {files[:10]}{'...' if len(files) > 10 else ''}\")\n except Exception as e:\n print(f\" ✗ 无法列出文件: {e}\")\n else:\n print(f\" 目录不存在，尝试创建...\")\n try:\n os.makedirs(prefect_home, exist_ok=True)\n print(f\" ✓ 创建成功\")\n except Exception as e:\n print(f\" ✗ 创建失败: {e}\")\n \n # 3. 检查 uvicorn 是否可用\n print(f\"\\n[诊断] uvicorn 可用性:\")\n import shutil\n uvicorn_path = shutil.which('uvicorn')\n if uvicorn_path:\n print(f\" ✓ uvicorn 路径: {uvicorn_path}\")\n else:\n print(f\" ✗ uvicorn 不在 PATH 中\")\n print(f\" PATH: {os.environ.get('PATH', 'NOT SET')}\")\n \n # 4. 检查 Prefect 版本\n print(f\"\\n[诊断] Prefect 版本:\")\n try:\n import prefect\n print(f\" ✓ prefect=={prefect.__version__}\")\n except Exception as e:\n print(f\" ✗ 无法导入 prefect: {e}\")\n \n # 5. 检查 SQLite 支持\n print(f\"\\n[诊断] SQLite 支持:\")\n try:\n import sqlite3\n print(f\" ✓ sqlite3 版本: {sqlite3.sqlite_version}\")\n # 测试创建数据库\n test_db = os.path.join(prefect_home, 'test.db')\n conn = sqlite3.connect(test_db)\n conn.execute('CREATE TABLE IF NOT EXISTS test (id INTEGER)')\n conn.close()\n os.remove(test_db)\n print(f\" ✓ SQLite 读写测试通过\")\n except Exception as e:\n print(f\" ✗ SQLite 测试失败: {e}\")\n \n # 6. 检查端口绑定能力\n print(f\"\\n[诊断] 端口绑定测试:\")\n try:\n import socket\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.bind(('127.0.0.1', 0))\n port = sock.getsockname()[1]\n sock.close()\n print(f\" ✓ 可以绑定 127.0.0.1 端口 (测试端口: {port})\")\n except Exception as e:\n print(f\" ✗ 端口绑定失败: {e}\")\n \n # 7. 检查内存情况\n print(f\"\\n[诊断] 系统资源:\")\n try:\n import psutil\n mem = psutil.virtual_memory()\n print(f\" 内存总量: {mem.total / 1024 / 1024:.0f} MB\")\n print(f\" 可用内存: {mem.available / 1024 / 1024:.0f} MB\")\n print(f\" 内存使用率: {mem.percent}%\")\n except ImportError:\n print(f\" psutil 未安装，跳过内存检查\")\n except Exception as e:\n print(f\" ✗ 资源检查失败: {e}\")\n \n print(\"\\n\" + \"=\"*60)\n print(\"诊断完成\")\n print(\"=\"*60 + \"\\n\")\n\n\ndef main():\n print(\"=\"*60)\n print(\"run_initiate_scan.py 启动\")\n print(f\" Python: {sys.version}\")\n print(f\" CWD: {os.getcwd()}\")\n print(f\" SERVER_URL: {os.environ.get('SERVER_URL', 'NOT SET')}\")\n print(\"=\"*60)\n \n # 1. 从配置中心获取配置并初始化 Django（必须在 Django 导入之前）\n print(\"[1/4] 从配置中心获取配置...\")\n try:\n from apps.common.container_bootstrap import fetch_config_and_setup_django\n fetch_config_and_setup_django()\n print(\"[1/4] ✓ 配置获取成功\")\n except Exception as e:\n print(f\"[1/4] ✗ 配置获取失败: {e}\")\n traceback.print_exc()\n sys.exit(1)\n \n # 2. 解析命令行参数\n print(\"[2/4] 解析命令行参数...\")\n parser = argparse.ArgumentParser(description=\"执行扫描初始化 Flow\")\n parser.add_argument(\"--scan_id\", type=int, required=True, help=\"扫描任务 ID\")\n parser.add_argument(\"--target_name\", type=str, required=True, help=\"目标名称\")\n parser.add_argument(\"--target_id\", type=int, required=True, help=\"目标 ID\")\n parser.add_argument(\"--scan_workspace_dir\", type=str, required=True, help=\"扫描工作目录\")\n parser.add_argument(\"--engine_name\", type=str, required=True, help=\"引擎名称\")\n parser.add_argument(\"--scheduled_scan_name\", type=str, default=None, help=\"定时扫描任务名称（可选）\")\n \n args = parser.parse_args()\n print(f\"[2/4] ✓ 参数解析成功:\")\n print(f\" scan_id: {args.scan_id}\")\n print(f\" target_name: {args.target_name}\")\n print(f\" target_id: {args.target_id}\")\n print(f\" scan_workspace_dir: {args.scan_workspace_dir}\")\n print(f\" engine_name: {args.engine_name}\")\n print(f\" scheduled_scan_name: {args.scheduled_scan_name}\")\n \n # 2.5. 运行 Prefect 环境诊断（仅在 DEBUG 模式下）\n if os.environ.get('DEBUG', '').lower() == 'true':\n diagnose_prefect_environment()\n \n # 3. 现在可以安全导入 Django 相关模块\n print(\"[3/4] 导入 initiate_scan_flow...\")\n try:\n from apps.scan.flows.initiate_scan_flow import initiate_scan_flow\n print(\"[3/4] ✓ 导入成功\")\n except Exception as e:\n print(f\"[3/4] ✗ 导入失败: {e}\")\n traceback.print_exc()\n sys.exit(1)\n \n # 4. 执行 Flow\n print(\"[4/4] 执行 initiate_scan_flow...\")\n try:\n result = initiate_scan_flow(\n scan_id=args.scan_id,\n target_name=args.target_name,\n target_id=args.target_id,\n scan_workspace_dir=args.scan_workspace_dir,\n engine_name=args.engine_name,\n scheduled_scan_name=args.scheduled_scan_name,\n )\n print(\"[4/4] ✓ Flow 执行完成\")\n print(f\"结果: {result}\")\n except Exception as e:\n print(f\"[4/4] ✗ Flow 执行失败: {e}\")\n traceback.print_exc()\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "backend/apps/scan/scripts/run_scheduled_scan.py", "content": "" }, { "path": "backend/apps/scan/serializers/__init__.py", "content": "\"\"\"Scan Serializers - 统一导出\"\"\"\n\nfrom .mixins import ScanConfigValidationMixin\nfrom .scan_serializers import (\n ScanSerializer,\n ScanHistorySerializer,\n QuickScanSerializer,\n InitiateScanSerializer,\n)\nfrom .scan_log_serializers import ScanLogSerializer\nfrom .scheduled_scan_serializers import (\n ScheduledScanSerializer,\n CreateScheduledScanSerializer,\n UpdateScheduledScanSerializer,\n ToggleScheduledScanSerializer,\n)\nfrom .subfinder_provider_settings_serializers import SubfinderProviderSettingsSerializer\n\n# 兼容旧名称\nProviderSettingsSerializer = SubfinderProviderSettingsSerializer\n\n__all__ = [\n # Mixins\n 'ScanConfigValidationMixin',\n # Scan\n 'ScanSerializer',\n 'ScanHistorySerializer',\n 'QuickScanSerializer',\n 'InitiateScanSerializer',\n # ScanLog\n 'ScanLogSerializer',\n # Scheduled Scan\n 'ScheduledScanSerializer',\n 'CreateScheduledScanSerializer',\n 'UpdateScheduledScanSerializer',\n 'ToggleScheduledScanSerializer',\n # Subfinder Provider Settings\n 'SubfinderProviderSettingsSerializer',\n 'ProviderSettingsSerializer', # 兼容旧名称\n]\n" }, { "path": "backend/apps/scan/serializers/mixins.py", "content": "\"\"\"序列化器通用 Mixin 和工具类\"\"\"\n\nfrom rest_framework import serializers\nimport yaml\n\n\nclass DuplicateKeyLoader(yaml.SafeLoader):\n \"\"\"自定义 YAML Loader，检测重复 key\"\"\"\n pass\n\n\ndef _check_duplicate_keys(loader, node, deep=False):\n \"\"\"检测 YAML mapping 中的重复 key\"\"\"\n mapping = {}\n for key_node, value_node in node.value:\n key = loader.construct_object(key_node, deep=deep)\n if key in mapping:\n raise yaml.constructor.ConstructorError(\n \"while constructing a mapping\", node.start_mark,\n f\"发现重复的配置项 '{key}'，后面的配置会覆盖前面的配置，请删除重复项\", key_node.start_mark\n )\n mapping[key] = loader.construct_object(value_node, deep=deep)\n return mapping\n\n\nDuplicateKeyLoader.add_constructor(\n yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG,\n _check_duplicate_keys\n)\n\n\nclass ScanConfigValidationMixin:\n \"\"\"扫描配置验证 Mixin\"\"\"\n \n def validate_configuration(self, value):\n \"\"\"验证 YAML 配置格式\"\"\"\n if not value or not value.strip():\n raise serializers.ValidationError(\"configuration 不能为空\")\n \n try:\n yaml.load(value, Loader=DuplicateKeyLoader)\n except yaml.YAMLError as e:\n raise serializers.ValidationError(f\"无效的 YAML 格式: {str(e)}\")\n \n return value\n \n def validate_engine_ids(self, value):\n \"\"\"验证引擎 ID 列表\"\"\"\n if not value:\n raise serializers.ValidationError(\"engine_ids 不能为空，请至少选择一个扫描引擎\")\n return value\n \n def validate_engine_names(self, value):\n \"\"\"验证引擎名称列表\"\"\"\n if not value:\n raise serializers.ValidationError(\"engine_names 不能为空\")\n return value\n" }, { "path": "backend/apps/scan/serializers/scan_log_serializers.py", "content": "\"\"\"扫描日志序列化器\"\"\"\n\nfrom rest_framework import serializers\n\nfrom ..models import ScanLog\n\n\nclass ScanLogSerializer(serializers.ModelSerializer):\n \"\"\"扫描日志序列化器\"\"\"\n \n class Meta:\n model = ScanLog\n fields = ['id', 'level', 'content', 'created_at']\n" }, { "path": "backend/apps/scan/serializers/scan_serializers.py", "content": "\"\"\"扫描任务序列化器\"\"\"\n\nfrom rest_framework import serializers\n\nfrom ..models import Scan\nfrom .mixins import ScanConfigValidationMixin\n\n\nclass ScanSerializer(serializers.ModelSerializer):\n \"\"\"扫描任务序列化器\"\"\"\n target_name = serializers.SerializerMethodField()\n \n class Meta:\n model = Scan\n fields = [\n 'id', 'target', 'target_name', 'engine_ids', 'engine_names',\n 'created_at', 'stopped_at', 'status', 'results_dir',\n 'container_ids', 'error_message'\n ]\n read_only_fields = [\n 'id', 'created_at', 'stopped_at', 'results_dir',\n 'container_ids', 'error_message', 'status'\n ]\n \n def get_target_name(self, obj):\n return obj.target.name if obj.target else None\n\n\nclass ScanHistorySerializer(serializers.ModelSerializer):\n \"\"\"扫描历史列表序列化器\"\"\"\n \n target_name = serializers.CharField(source='target.name', read_only=True)\n worker_name = serializers.CharField(source='worker.name', read_only=True, allow_null=True)\n summary = serializers.SerializerMethodField()\n progress = serializers.IntegerField(read_only=True)\n current_stage = serializers.CharField(read_only=True)\n stage_progress = serializers.JSONField(read_only=True)\n \n class Meta:\n model = Scan\n fields = [\n 'id', 'target', 'target_name', 'engine_ids', 'engine_names', \n 'worker_name', 'created_at', 'status', 'error_message', 'summary', \n 'progress', 'current_stage', 'stage_progress', 'yaml_configuration'\n ]\n \n def get_summary(self, obj):\n summary = {\n 'subdomains': obj.cached_subdomains_count or 0,\n 'websites': obj.cached_websites_count or 0,\n 'endpoints': obj.cached_endpoints_count or 0,\n 'ips': obj.cached_ips_count or 0,\n 'directories': obj.cached_directories_count or 0,\n 'screenshots': obj.cached_screenshots_count or 0,\n }\n summary['vulnerabilities'] = {\n 'total': obj.cached_vulns_total or 0,\n 'critical': obj.cached_vulns_critical or 0,\n 'high': obj.cached_vulns_high or 0,\n 'medium': obj.cached_vulns_medium or 0,\n 'low': obj.cached_vulns_low or 0,\n }\n return summary\n\n\nclass QuickScanSerializer(ScanConfigValidationMixin, serializers.Serializer):\n \"\"\"快速扫描序列化器\"\"\"\n \n MAX_BATCH_SIZE = 5000\n \n targets = serializers.ListField(\n child=serializers.DictField(),\n help_text='目标列表，每个目标包含 name 字段'\n )\n configuration = serializers.CharField(required=True, help_text='YAML 格式的扫描配置')\n engine_ids = serializers.ListField(child=serializers.IntegerField(), required=True)\n engine_names = serializers.ListField(child=serializers.CharField(), required=True)\n \n def validate_targets(self, value):\n if not value:\n raise serializers.ValidationError(\"目标列表不能为空\")\n if len(value) > self.MAX_BATCH_SIZE:\n raise serializers.ValidationError(\n f\"快速扫描最多支持 {self.MAX_BATCH_SIZE} 个目标，当前提交了 {len(value)} 个\"\n )\n for idx, target in enumerate(value):\n if 'name' not in target:\n raise serializers.ValidationError(f\"第 {idx + 1} 个目标缺少 name 字段\")\n if not target['name']:\n raise serializers.ValidationError(f\"第 {idx + 1} 个目标的 name 不能为空\")\n return value\n\n\nclass InitiateScanSerializer(ScanConfigValidationMixin, serializers.Serializer):\n \"\"\"发起扫描任务序列化器\"\"\"\n \n configuration = serializers.CharField(required=True, help_text='YAML 格式的扫描配置')\n engine_ids = serializers.ListField(child=serializers.IntegerField(), required=True)\n engine_names = serializers.ListField(child=serializers.CharField(), required=True)\n organization_id = serializers.IntegerField(required=False, allow_null=True)\n target_id = serializers.IntegerField(required=False, allow_null=True)\n \n def validate(self, data):\n organization_id = data.get('organization_id')\n target_id = data.get('target_id')\n \n if not organization_id and not target_id:\n raise serializers.ValidationError('必须提供 organization_id 或 target_id 其中之一')\n if organization_id and target_id:\n raise serializers.ValidationError('organization_id 和 target_id 只能提供其中之一')\n \n return data\n" }, { "path": "backend/apps/scan/serializers/scheduled_scan_serializers.py", "content": "\"\"\"定时扫描序列化器\"\"\"\n\nfrom rest_framework import serializers\n\nfrom ..models import ScheduledScan\nfrom .mixins import ScanConfigValidationMixin\n\n\nclass ScheduledScanSerializer(serializers.ModelSerializer):\n \"\"\"定时扫描任务序列化器（用于列表和详情）\"\"\"\n \n organization_id = serializers.IntegerField(source='organization.id', read_only=True, allow_null=True)\n organization_name = serializers.CharField(source='organization.name', read_only=True, allow_null=True)\n target_id = serializers.IntegerField(source='target.id', read_only=True, allow_null=True)\n target_name = serializers.CharField(source='target.name', read_only=True, allow_null=True)\n scan_mode = serializers.SerializerMethodField()\n \n class Meta:\n model = ScheduledScan\n fields = [\n 'id', 'name',\n 'engine_ids', 'engine_names',\n 'organization_id', 'organization_name',\n 'target_id', 'target_name',\n 'scan_mode',\n 'cron_expression',\n 'is_enabled',\n 'run_count', 'last_run_time', 'next_run_time',\n 'created_at', 'updated_at'\n ]\n read_only_fields = [\n 'id', 'run_count',\n 'last_run_time', 'next_run_time',\n 'created_at', 'updated_at'\n ]\n \n def get_scan_mode(self, obj):\n return 'organization' if obj.organization_id else 'target'\n\n\nclass CreateScheduledScanSerializer(ScanConfigValidationMixin, serializers.Serializer):\n \"\"\"创建定时扫描任务序列化器\"\"\"\n \n name = serializers.CharField(max_length=200, help_text='任务名称')\n configuration = serializers.CharField(required=True, help_text='YAML 格式的扫描配置')\n engine_ids = serializers.ListField(child=serializers.IntegerField(), required=True)\n engine_names = serializers.ListField(child=serializers.CharField(), required=True)\n organization_id = serializers.IntegerField(required=False, allow_null=True)\n target_id = serializers.IntegerField(required=False, allow_null=True)\n cron_expression = serializers.CharField(max_length=100, default='0 2 * * *')\n is_enabled = serializers.BooleanField(default=True)\n \n def validate(self, data):\n organization_id = data.get('organization_id')\n target_id = data.get('target_id')\n \n if not organization_id and not target_id:\n raise serializers.ValidationError('必须提供 organization_id 或 target_id 其中之一')\n if organization_id and target_id:\n raise serializers.ValidationError('organization_id 和 target_id 只能提供其中之一')\n \n return data\n\n\nclass UpdateScheduledScanSerializer(serializers.Serializer):\n \"\"\"更新定时扫描任务序列化器\"\"\"\n \n name = serializers.CharField(max_length=200, required=False)\n engine_ids = serializers.ListField(child=serializers.IntegerField(), required=False)\n organization_id = serializers.IntegerField(required=False, allow_null=True)\n target_id = serializers.IntegerField(required=False, allow_null=True)\n cron_expression = serializers.CharField(max_length=100, required=False)\n is_enabled = serializers.BooleanField(required=False)\n \n def validate_engine_ids(self, value):\n if value is not None and not value:\n raise serializers.ValidationError(\"engine_ids 不能为空\")\n return value\n\n\nclass ToggleScheduledScanSerializer(serializers.Serializer):\n \"\"\"切换定时扫描启用状态序列化器\"\"\"\n \n is_enabled = serializers.BooleanField(help_text='是否启用')\n" }, { "path": "backend/apps/scan/serializers/subfinder_provider_settings_serializers.py", "content": "\"\"\"Subfinder Provider 配置序列化器\"\"\"\n\nfrom rest_framework import serializers\n\n\nclass SubfinderProviderSettingsSerializer(serializers.Serializer):\n \"\"\"Subfinder Provider 配置序列化器\n \n 支持的 Provider:\n - fofa: email + api_key (composite)\n - censys: api_id + api_secret (composite)\n - hunter, shodan, zoomeye, securitytrails, threatbook, quake: api_key (single)\n \n 注意：djangorestframework-camel-case 会自动处理 camelCase <-> snake_case 转换\n 所以这里统一使用 snake_case\n \"\"\"\n \n VALID_PROVIDERS = {\n 'fofa', 'hunter', 'shodan', 'censys', \n 'zoomeye', 'securitytrails', 'threatbook', 'quake'\n }\n \n def to_internal_value(self, data):\n \"\"\"验证并转换输入数据\"\"\"\n if not isinstance(data, dict):\n raise serializers.ValidationError('Expected a dictionary')\n \n result = {}\n for provider, config in data.items():\n if provider not in self.VALID_PROVIDERS:\n continue\n \n if not isinstance(config, dict):\n continue\n \n db_config = {'enabled': bool(config.get('enabled', False))}\n \n if provider == 'fofa':\n db_config['email'] = str(config.get('email', ''))\n db_config['api_key'] = str(config.get('api_key', ''))\n elif provider == 'censys':\n db_config['api_id'] = str(config.get('api_id', ''))\n db_config['api_secret'] = str(config.get('api_secret', ''))\n else:\n db_config['api_key'] = str(config.get('api_key', ''))\n \n result[provider] = db_config\n \n return result\n \n def to_representation(self, instance):\n \"\"\"输出数据（数据库格式，camel-case 中间件会自动转换）\"\"\"\n if isinstance(instance, dict):\n return instance\n return instance.providers if hasattr(instance, 'providers') else {}\n" }, { "path": "backend/apps/scan/services/__init__.py", "content": "\"\"\"\n扫描服务模块\n\n提供各种扫描任务的服务功能\n\n架构：\n- ScanService: 主服务（协调者）\n- ScanCreationService: 创建服务\n- ScanStateService: 状态管理服务\n- ScanControlService: 控制服务\n- ScanStatsService: 统计服务\n\"\"\"\n\nfrom .scan_service import ScanService\nfrom .scan_creation_service import ScanCreationService\nfrom .scan_state_service import ScanStateService\nfrom .scan_control_service import ScanControlService\nfrom .scan_stats_service import ScanStatsService\nfrom .scheduled_scan_service import ScheduledScanService\nfrom .target_export_service import (\n TargetExportService,\n create_export_service,\n export_urls_with_fallback,\n DataSource,\n)\n\n__all__ = [\n 'ScanService', # 主入口（向后兼容）\n 'ScanCreationService',\n 'ScanStateService',\n 'ScanControlService',\n 'ScanStatsService',\n 'ScheduledScanService',\n 'TargetExportService', # 目标导出服务\n 'create_export_service',\n 'export_urls_with_fallback',\n 'DataSource',\n]\n\n" }, { "path": "backend/apps/scan/services/quick_scan_service.py", "content": "\"\"\"\n快速扫描服务\n\n负责解析用户输入（URL、域名、IP、CIDR）并创建对应的资产数据\n\"\"\"\n\nimport logging\nfrom dataclasses import dataclass\nfrom typing import Optional, Literal, List, Dict, Any\nfrom urllib.parse import urlparse\n\nfrom django.db import transaction\n\nfrom apps.common.validators import validate_url, detect_input_type, validate_domain, validate_ip, validate_cidr, is_valid_ip\nfrom apps.targets.services.target_service import TargetService\nfrom apps.targets.models import Target\nfrom apps.asset.dtos import WebSiteDTO\nfrom apps.asset.dtos.asset import EndpointDTO\nfrom apps.asset.repositories.asset.website_repository import DjangoWebSiteRepository\nfrom apps.asset.repositories.asset.endpoint_repository import DjangoEndpointRepository\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ParsedInputDTO:\n \"\"\"\n 解析输入 DTO\n \n 只在快速扫描流程中使用\n \"\"\"\n original_input: str\n input_type: Literal['url', 'domain', 'ip', 'cidr']\n target_name: str # host/domain/ip/cidr\n target_type: Literal['domain', 'ip', 'cidr']\n website_url: Optional[str] = None # 根 URL（scheme://host[:port]）\n endpoint_url: Optional[str] = None # 完整 URL（含路径）\n is_valid: bool = True\n error: Optional[str] = None\n line_number: Optional[int] = None\n\n\nclass QuickScanService:\n \"\"\"快速扫描服务 - 解析输入并创建资产\"\"\"\n \n def __init__(self):\n self.target_service = TargetService()\n self.website_repo = DjangoWebSiteRepository()\n self.endpoint_repo = DjangoEndpointRepository()\n \n def parse_inputs(self, inputs: List[str]) -> List[ParsedInputDTO]:\n \"\"\"\n 解析多行输入\n \n Args:\n inputs: 输入字符串列表（每行一个）\n \n Returns:\n 解析结果列表（跳过空行）\n \"\"\"\n results = []\n for line_number, input_str in enumerate(inputs, start=1):\n input_str = input_str.strip()\n \n # 空行跳过\n if not input_str:\n continue\n \n try:\n # 检测输入类型\n input_type = detect_input_type(input_str)\n \n if input_type == 'url':\n dto = self._parse_url_input(input_str, line_number)\n else:\n dto = self._parse_target_input(input_str, input_type, line_number)\n \n results.append(dto)\n except ValueError as e:\n # 解析失败，记录错误\n results.append(ParsedInputDTO(\n original_input=input_str,\n input_type='domain', # 默认类型\n target_name=input_str,\n target_type='domain',\n is_valid=False,\n error=str(e),\n line_number=line_number\n ))\n \n return results\n \n def _parse_url_input(self, url_str: str, line_number: int) -> ParsedInputDTO:\n \"\"\"\n 解析 URL 输入\n \n Args:\n url_str: URL 字符串\n line_number: 行号\n \n Returns:\n ParsedInputDTO\n \"\"\"\n # 验证 URL 格式\n validate_url(url_str)\n \n # 使用标准库解析\n parsed = urlparse(url_str)\n \n host = parsed.hostname # 不含端口\n has_path = parsed.path and parsed.path != '/'\n \n # 构建 root_url: scheme://host[:port]\n root_url = f\"{parsed.scheme}://{parsed.netloc}\"\n \n # 检测 host 类型（domain 或 ip）\n target_type = 'ip' if is_valid_ip(host) else 'domain'\n \n return ParsedInputDTO(\n original_input=url_str,\n input_type='url',\n target_name=host,\n target_type=target_type,\n website_url=root_url,\n endpoint_url=url_str if has_path else None,\n line_number=line_number\n )\n \n def _parse_target_input(\n self, \n input_str: str, \n input_type: str, \n line_number: int\n ) -> ParsedInputDTO:\n \"\"\"\n 解析非 URL 输入（domain/ip/cidr）\n \n Args:\n input_str: 输入字符串\n input_type: 输入类型\n line_number: 行号\n \n Returns:\n ParsedInputDTO\n \"\"\"\n # 验证格式\n if input_type == 'domain':\n validate_domain(input_str)\n target_type = 'domain'\n elif input_type == 'ip':\n validate_ip(input_str)\n target_type = 'ip'\n elif input_type == 'cidr':\n validate_cidr(input_str)\n target_type = 'cidr'\n else:\n raise ValueError(f\"未知的输入类型: {input_type}\")\n \n return ParsedInputDTO(\n original_input=input_str,\n input_type=input_type,\n target_name=input_str,\n target_type=target_type,\n website_url=None,\n endpoint_url=None,\n line_number=line_number\n )\n \n @transaction.atomic\n def process_quick_scan(\n self, \n inputs: List[str],\n engine_id: int\n ) -> Dict[str, Any]:\n \"\"\"\n 处理快速扫描请求\n \n Args:\n inputs: 输入字符串列表\n engine_id: 扫描引擎 ID\n \n Returns:\n 处理结果字典\n \"\"\"\n # 1. 解析输入\n parsed_inputs = self.parse_inputs(inputs)\n \n # 分离有效和无效输入\n valid_inputs = [p for p in parsed_inputs if p.is_valid]\n invalid_inputs = [p for p in parsed_inputs if not p.is_valid]\n \n if not valid_inputs:\n return {\n 'targets': [],\n 'target_stats': {'created': 0, 'reused': 0, 'failed': len(invalid_inputs)},\n 'asset_stats': {'websites_created': 0, 'endpoints_created': 0},\n 'errors': [\n {'line_number': p.line_number, 'input': p.original_input, 'error': p.error}\n for p in invalid_inputs\n ]\n }\n \n # 2. 创建资产\n asset_result = self.create_assets_from_parsed_inputs(valid_inputs)\n \n # 3. 返回结果\n return {\n 'targets': asset_result['targets'],\n 'target_stats': asset_result['target_stats'],\n 'asset_stats': asset_result['asset_stats'],\n 'errors': [\n {'line_number': p.line_number, 'input': p.original_input, 'error': p.error}\n for p in invalid_inputs\n ]\n }\n \n def create_assets_from_parsed_inputs(\n self, \n parsed_inputs: List[ParsedInputDTO]\n ) -> Dict[str, Any]:\n \"\"\"\n 从解析结果创建资产\n \n Args:\n parsed_inputs: 解析结果列表（只包含有效输入）\n \n Returns:\n 创建结果字典\n \"\"\"\n # 1. 收集所有 target 数据（内存操作，去重）\n targets_data = {}\n for dto in parsed_inputs:\n if dto.target_name not in targets_data:\n targets_data[dto.target_name] = {'name': dto.target_name, 'type': dto.target_type}\n \n targets_list = list(targets_data.values())\n \n # 2. 批量创建 Target（复用现有方法）\n target_result = self.target_service.batch_create_targets(targets_list)\n \n # 3. 查询刚创建的 Target，建立 name → id 映射\n target_names = [d['name'] for d in targets_list]\n targets = Target.objects.filter(name__in=target_names)\n target_id_map = {t.name: t.id for t in targets}\n \n # 4. 收集 Website DTO（内存操作，去重）\n website_dtos = []\n seen_websites = set()\n for dto in parsed_inputs:\n if dto.website_url and dto.website_url not in seen_websites:\n seen_websites.add(dto.website_url)\n target_id = target_id_map.get(dto.target_name)\n if target_id:\n website_dtos.append(WebSiteDTO(\n target_id=target_id,\n url=dto.website_url,\n host=dto.target_name\n ))\n \n # 5. 批量创建 Website（存在即跳过）\n websites_created = 0\n if website_dtos:\n websites_created = self.website_repo.bulk_create_ignore_conflicts(website_dtos)\n \n # 6. 收集 Endpoint DTO（内存操作，去重）\n endpoint_dtos = []\n seen_endpoints = set()\n for dto in parsed_inputs:\n if dto.endpoint_url and dto.endpoint_url not in seen_endpoints:\n seen_endpoints.add(dto.endpoint_url)\n target_id = target_id_map.get(dto.target_name)\n if target_id:\n endpoint_dtos.append(EndpointDTO(\n target_id=target_id,\n url=dto.endpoint_url,\n host=dto.target_name\n ))\n \n # 7. 批量创建 Endpoint（存在即跳过）\n endpoints_created = 0\n if endpoint_dtos:\n endpoints_created = self.endpoint_repo.bulk_create_ignore_conflicts(endpoint_dtos)\n \n return {\n 'targets': list(targets),\n 'target_stats': {\n 'created': target_result['created_count'],\n 'reused': 0, # bulk_create 无法区分新建和复用\n 'failed': target_result['failed_count']\n },\n 'asset_stats': {\n 'websites_created': websites_created,\n 'endpoints_created': endpoints_created\n }\n }\n" }, { "path": "backend/apps/scan/services/scan_control_service.py", "content": "\"\"\"\n扫描控制服务\n\n职责：\n- 停止扫描（docker kill 强制杀死）\n- 删除扫描（两阶段删除）\n\"\"\"\n\nimport logging\nimport threading\nfrom typing import Dict, List\nfrom django.db import transaction, connection\nfrom django.db.utils import DatabaseError, OperationalError\nfrom django.core.exceptions import ObjectDoesNotExist\nfrom django.utils import timezone\n\nfrom apps.common.definitions import ScanStatus\nfrom apps.scan.repositories import DjangoScanRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScanControlService:\n \"\"\"\n 扫描控制服务\n \n 职责：\n - 停止扫描（取消 Flow Run）\n - 删除扫描（两阶段删除）\n - 批量操作\n \"\"\"\n \n def __init__(self):\n \"\"\"\n 初始化服务\n \"\"\"\n self.scan_repo = DjangoScanRepository()\n\n def _stop_containers(\n self, \n container_ids: List[str],\n worker_id: int,\n ) -> int:\n \"\"\"\n 在指定 Worker 上停止 Docker 容器\n \n Args:\n container_ids: 容器 ID 列表\n worker_id: Worker 节点 ID\n \n Returns:\n 成功停止的数量\n \"\"\"\n if not container_ids:\n return 0\n \n from apps.engine.models import WorkerNode\n \n try:\n worker = WorkerNode.objects.get(id=worker_id)\n except WorkerNode.DoesNotExist:\n logger.error(f\"Worker 不存在: {worker_id}\")\n return 0\n \n # 构建 docker kill 命令（强制杀死，避免进程不响应 SIGTERM）\n container_ids_str = ' '.join(container_ids)\n docker_cmd = f\"docker kill {container_ids_str} 2>/dev/null || true\"\n \n stopped_count = 0\n \n if worker.is_local:\n # 本地执行\n import subprocess\n try:\n result = subprocess.run(\n docker_cmd,\n shell=True,\n capture_output=True,\n text=True,\n timeout=30\n )\n # 统计成功停止的容器数（输出的每一行是一个成功停止的容器 ID）\n if result.stdout:\n stopped_count = len(result.stdout.strip().split('\\n'))\n logger.info(f\"本地 docker kill 完成: {stopped_count}/{len(container_ids)}\")\n except Exception as e:\n logger.error(f\"本地 docker kill 失败: {e}\")\n else:\n # 远程通过 SSH 执行\n import paramiko\n ssh = None\n try:\n ssh = paramiko.SSHClient()\n ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n ssh.connect(\n hostname=worker.ip_address,\n port=worker.ssh_port,\n username=worker.username,\n password=worker.password if worker.password else None,\n timeout=10,\n )\n \n stdin, stdout, stderr = ssh.exec_command(docker_cmd, timeout=30)\n output = stdout.read().decode().strip()\n if output:\n stopped_count = len(output.split('\\n'))\n logger.info(f\"SSH docker kill 完成 - Worker: {worker.name}, 数量: {stopped_count}/{len(container_ids)}\")\n except Exception as e:\n logger.error(f\"SSH docker kill 失败 - Worker: {worker.name}: {e}\")\n finally:\n if ssh:\n ssh.close()\n \n return stopped_count\n\n def delete_scans_two_phase(self, scan_ids: List[int]) -> dict:\n \"\"\"\n 两阶段删除扫描任务\n \n 流程：\n 1. 软删除：立即更新 deleted_at 字段（同步，快速）\n 2. 后台异步：停止容器 + 分发硬删除任务（不阻塞 API）\n \n Args:\n scan_ids: 扫描任务 ID 列表\n \n Returns:\n 删除结果统计\n \"\"\"\n # 1. 获取要删除的 Scan 信息\n scans = list(self.scan_repo.get_all(prefetch_relations=False).filter(id__in=scan_ids))\n if not scans:\n raise ValueError(\"未找到要删除的 Scan\")\n \n scan_names = [f\"Scan #{s.id}\" for s in scans]\n existing_ids = [s.id for s in scans]\n \n # 2. 收集需要停止的容器信息（同步收集，异步执行）\n containers_by_worker: Dict[int, List[str]] = {}\n for scan in scans:\n if scan.status in [ScanStatus.RUNNING, ScanStatus.INITIATED]:\n if scan.container_ids and scan.worker_id:\n if scan.worker_id not in containers_by_worker:\n containers_by_worker[scan.worker_id] = []\n containers_by_worker[scan.worker_id].extend(scan.container_ids)\n \n # 3. 第一阶段：软删除（同步，快速）\n soft_count = self.scan_repo.soft_delete_by_ids(existing_ids)\n logger.info(f\"✓ 软删除完成: {soft_count} 个 Scan\")\n \n # 4. 第二阶段：后台异步执行停止容器 + 硬删除（不阻塞 API）\n thread = threading.Thread(\n target=self._async_cleanup_and_hard_delete,\n args=(existing_ids, containers_by_worker),\n daemon=True,\n )\n thread.start()\n \n return {\n 'soft_deleted_count': soft_count,\n 'scan_names': scan_names,\n 'hard_delete_scheduled': True,\n }\n \n def _async_cleanup_and_hard_delete(\n self,\n scan_ids: List[int],\n containers_by_worker: Dict[int, List[str]]\n ):\n \"\"\"\n 后台线程：停止容器 + 分发硬删除任务\n \"\"\"\n # 后台线程需要新的数据库连接\n connection.close()\n \n # 1. 停止容器\n if containers_by_worker:\n total_containers = sum(len(c) for c in containers_by_worker.values())\n logger.info(f\"🛑 后台停止容器 - Worker 数量: {len(containers_by_worker)}, 容器数量: {total_containers}\")\n stopped_count = 0\n for worker_id, container_ids in containers_by_worker.items():\n try:\n count = self._stop_containers(container_ids, worker_id)\n stopped_count += count\n except Exception as e:\n logger.warning(f\"停止容器时出错 - Worker ID {worker_id}: {e}\")\n logger.info(f\"✓ 已停止 {stopped_count}/{total_containers} 个容器\")\n \n # 2. 分发硬删除任务\n try:\n from apps.engine.services.task_distributor import get_task_distributor\n \n distributor = get_task_distributor()\n success, message, container_id = distributor.execute_delete_task(\n task_type='scans',\n ids=scan_ids\n )\n \n if success:\n logger.info(f\"✓ 硬删除任务已分发 - Container: {container_id}\")\n else:\n logger.warning(f\"硬删除任务分发失败: {message}\")\n \n except Exception as e:\n logger.error(f\"❌ 分发删除任务失败: {e}\", exc_info=True)\n \n def stop_scan(self, scan_id: int) -> tuple[bool, int]:\n \"\"\"\n 主动停止扫描任务（用户发起）\n \n 工作流程：\n 1. 验证扫描状态（只能停止 RUNNING/INITIATED）\n 2. 通过 docker kill 强制终止容器\n 3. 立即更新状态为 CANCELLED（终态）\n \n Args:\n scan_id: 扫描任务 ID\n \n Returns:\n (是否成功, 停止的容器数量)\n \n 并发安全：\n 使用数据库行锁（select_for_update）防止并发修改，\n 避免用户重复点击导致的重复操作\n \"\"\"\n try:\n # 1. 在事务内获取扫描对象、检查状态、更新状态（加锁，防止并发）\n with transaction.atomic():\n # 使用 select_for_update() 加行锁，防止并发修改\n scan = self.scan_repo.get_by_id_for_update(scan_id)\n if not scan:\n logger.error(\"Scan 不存在 - Scan ID: %s\", scan_id)\n return False, 0\n \n # 2. 验证状态（只能停止 RUNNING/INITIATED）\n if scan.status not in [ScanStatus.RUNNING, ScanStatus.INITIATED]:\n logger.warning(\n \"无法停止扫描：当前状态为 %s - Scan ID: %s\",\n ScanStatus(scan.status).label,\n scan_id\n )\n return False, 0\n \n # 3. 获取容器 ID 列表和 Worker ID（在锁内读取，确保数据一致性）\n container_ids = scan.container_ids or []\n worker_id = scan.worker_id\n \n # 4. 立即更新状态为 CANCELLED（终态）\n scan.status = ScanStatus.CANCELLED\n scan.stopped_at = timezone.now()\n scan.error_message = \"用户手动取消扫描\"\n scan.save(update_fields=['status', 'stopped_at', 'error_message'])\n logger.info(\"✓ 已更新状态为 CANCELLED（事务内）- Scan ID: %s\", scan_id)\n \n # 5. 更新阶段进度：running → cancelled, pending → cancelled\n from apps.scan.services.scan_state_service import ScanStateService\n state_service = ScanStateService()\n state_service.cancel_running_stages(scan_id, final_status=\"cancelled\")\n \n # 事务结束，锁释放\n # 后续耗时操作在事务外执行，避免长时间持有锁\n \n # 6. 停止 Docker 容器（通过 SSH/本地执行 docker stop）\n stopped_count = 0\n if container_ids and worker_id:\n try:\n stopped_count = self._stop_containers(container_ids, worker_id)\n logger.info(\n \"✓ 已停止 %d/%d 个容器 - Scan ID: %s\",\n stopped_count, len(container_ids), scan_id\n )\n except Exception as e:\n logger.error(\"停止容器失败: %s\", e)\n # 容器停止失败不影响取消结果，状态已经更新为 CANCELLED\n elif not worker_id:\n logger.warning(\"无 Worker 信息，跳过容器停止 - Scan ID: %s\", scan_id)\n else:\n logger.info(\"无关联容器需要停止 - Scan ID: %s\", scan_id)\n \n return True, stopped_count\n \n except (DatabaseError, OperationalError) as e:\n logger.exception(\"数据库错误：停止扫描失败 - Scan ID: %s\", scan_id)\n raise\n except ObjectDoesNotExist:\n logger.error(\"Scan 不存在 - Scan ID: %s\", scan_id)\n return False, 0\n\n\n# 导出接口\n__all__ = ['ScanControlService']\n" }, { "path": "backend/apps/scan/services/scan_creation_service.py", "content": "\"\"\"\n扫描创建服务\n\n职责：\n- 准备扫描参数\n- 创建 Scan 记录\n- 通过负载感知分发器在最优 Worker 上执行任务（支持本地和远程）\n\"\"\"\n\nimport uuid\nimport logging\nimport threading\nfrom typing import List, Tuple\nfrom datetime import datetime\nfrom pathlib import Path\nfrom django.conf import settings\nfrom django.db import transaction, connection\nfrom django.db.utils import DatabaseError, IntegrityError, OperationalError\nfrom django.core.exceptions import ValidationError, ObjectDoesNotExist\n\nfrom apps.scan.models import Scan\nfrom apps.scan.repositories import DjangoScanRepository\nfrom apps.scan.utils.config_merger import merge_engine_configs, ConfigConflictError\nfrom apps.targets.repositories import DjangoTargetRepository, DjangoOrganizationRepository\nfrom apps.engine.repositories import DjangoEngineRepository\nfrom apps.targets.models import Target\nfrom apps.engine.models import ScanEngine\nfrom apps.common.definitions import ScanStatus\nfrom apps.engine.services.task_distributor import get_task_distributor\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScanCreationService:\n \"\"\"\n 扫描创建服务\n \n 职责：\n - 准备扫描参数\n - 创建 Scan 记录\n - 通过负载感知分发器在最优 Worker 上执行任务\n - 处理创建过程中的错误\n \"\"\"\n \n def __init__(self):\n \"\"\"\n 初始化服务\n Note:\n 移除了依赖注入，因为：\n 1. 项目没有单元测试需求\n 2. 不会更换数据库实现\n 3. 所有调用都是直接实例化\n 4. 减少不必要的复杂度\n \"\"\"\n self.scan_repo = DjangoScanRepository()\n self.target_repo = DjangoTargetRepository()\n self.organization_repo = DjangoOrganizationRepository()\n self.engine_repo = DjangoEngineRepository()\n \n def prepare_initiate_scan(\n self,\n organization_id: int | None = None,\n target_id: int | None = None,\n engine_id: int | None = None\n ) -> tuple[List[Target], ScanEngine]:\n \"\"\"\n 准备扫描任务所需的数据\n \n 职责：\n 1. 参数验证（必填项、互斥参数）\n 2. 资源查询（Engine、Organization、Target）\n 3. 业务逻辑判断（组织下是否有目标）\n 4. 返回准备好的目标列表和扫描引擎\n \n Args:\n organization_id: 组织ID（可选）\n target_id: 目标ID（可选）\n engine_id: 扫描引擎ID（必填）\n \n Returns:\n (目标列表, 扫描引擎对象) - 供 create_scans 方法使用\n \n Raises:\n ValidationError: 参数验证失败或业务规则不满足\n ObjectDoesNotExist: 资源不存在（Organization/Target/ScanEngine）\n \n Note:\n - organization_id 和 target_id 必须二选一\n - 如果提供 organization_id，返回该组织下所有目标\n - 如果提供 target_id，返回单个目标列表\n \"\"\"\n # 1. 参数验证\n if not engine_id:\n raise ValidationError('缺少必填参数: engine_id')\n \n if not organization_id and not target_id:\n raise ValidationError('必须提供 organization_id 或 target_id 其中之一')\n \n if organization_id and target_id:\n raise ValidationError('organization_id 和 target_id 只能提供其中之一')\n \n # 2. 查询扫描引擎（通过 Repository 层）\n engine = self.engine_repo.get_by_id(engine_id)\n if not engine:\n logger.error(\"扫描引擎不存在 - Engine ID: %s\", engine_id)\n raise ObjectDoesNotExist(f'ScanEngine ID {engine_id} 不存在')\n \n # 3. 根据参数获取目标列表\n targets = []\n \n if organization_id:\n # 根据组织ID获取所有目标（通过 Repository 层）\n organization = self.organization_repo.get_by_id(organization_id)\n if not organization:\n logger.error(\"组织不存在 - Organization ID: %s\", organization_id)\n raise ObjectDoesNotExist(f'Organization ID {organization_id} 不存在')\n \n targets = self.organization_repo.get_targets(organization_id)\n \n if not targets:\n raise ValidationError(f'组织 ID {organization_id} 下没有目标')\n \n logger.debug(\n \"准备发起扫描 - 组织: %s, 目标数量: %d, 引擎: %s\",\n organization.name,\n len(targets),\n engine.name\n )\n else:\n # 根据目标ID获取单个目标（通过 Repository 层）\n target = self.target_repo.get_by_id(target_id)\n if not target:\n logger.error(\"目标不存在 - Target ID: %s\", target_id)\n raise ObjectDoesNotExist(f'Target ID {target_id} 不存在')\n \n targets = [target]\n \n logger.debug(\n \"准备发起扫描 - 目标: %s, 引擎: %s\",\n target.name,\n engine.name\n )\n \n return targets, engine\n \n def prepare_initiate_scan_multi_engine(\n self,\n organization_id: int | None = None,\n target_id: int | None = None,\n engine_ids: List[int] | None = None\n ) -> Tuple[List[Target], str, List[str], List[int]]:\n \"\"\"\n 准备多引擎扫描任务所需的数据\n \n 职责：\n 1. 参数验证（必填项、互斥参数）\n 2. 资源查询（Engines、Organization、Target）\n 3. 合并引擎配置（检测冲突）\n 4. 返回准备好的目标列表、合并配置和引擎信息\n \n Args:\n organization_id: 组织ID（可选）\n target_id: 目标ID（可选）\n engine_ids: 扫描引擎ID列表（必填）\n \n Returns:\n (目标列表, 合并配置, 引擎名称列表, 引擎ID列表) - 供 create_scans 方法使用\n \n Raises:\n ValidationError: 参数验证失败或业务规则不满足\n ObjectDoesNotExist: 资源不存在（Organization/Target/ScanEngine）\n ConfigConflictError: 引擎配置存在冲突\n \n Note:\n - organization_id 和 target_id 必须二选一\n - 如果提供 organization_id，返回该组织下所有目标\n - 如果提供 target_id，返回单个目标列表\n \"\"\"\n # 1. 参数验证\n if not engine_ids:\n raise ValidationError('缺少必填参数: engine_ids')\n \n if not organization_id and not target_id:\n raise ValidationError('必须提供 organization_id 或 target_id 其中之一')\n \n if organization_id and target_id:\n raise ValidationError('organization_id 和 target_id 只能提供其中之一')\n \n # 2. 查询所有扫描引擎\n engines = []\n for engine_id in engine_ids:\n engine = self.engine_repo.get_by_id(engine_id)\n if not engine:\n logger.error(\"扫描引擎不存在 - Engine ID: %s\", engine_id)\n raise ObjectDoesNotExist(f'ScanEngine ID {engine_id} 不存在')\n engines.append(engine)\n \n # 3. 合并引擎配置（可能抛出 ConfigConflictError）\n engine_configs = [(e.name, e.configuration or '') for e in engines]\n merged_configuration = merge_engine_configs(engine_configs)\n engine_names = [e.name for e in engines]\n \n logger.debug(\n \"引擎配置合并成功 - 引擎: %s\",\n ', '.join(engine_names)\n )\n \n # 4. 根据参数获取目标列表\n targets = []\n \n if organization_id:\n # 根据组织ID获取所有目标\n organization = self.organization_repo.get_by_id(organization_id)\n if not organization:\n logger.error(\"组织不存在 - Organization ID: %s\", organization_id)\n raise ObjectDoesNotExist(f'Organization ID {organization_id} 不存在')\n \n targets = self.organization_repo.get_targets(organization_id)\n \n if not targets:\n raise ValidationError(f'组织 ID {organization_id} 下没有目标')\n \n logger.debug(\n \"准备发起扫描 - 组织: %s, 目标数量: %d, 引擎: %s\",\n organization.name,\n len(targets),\n ', '.join(engine_names)\n )\n else:\n # 根据目标ID获取单个目标\n target = self.target_repo.get_by_id(target_id)\n if not target:\n logger.error(\"目标不存在 - Target ID: %s\", target_id)\n raise ObjectDoesNotExist(f'Target ID {target_id} 不存在')\n \n targets = [target]\n \n logger.debug(\n \"准备发起扫描 - 目标: %s, 引擎: %s\",\n target.name,\n ', '.join(engine_names)\n )\n \n return targets, merged_configuration, engine_names, engine_ids\n \n def _generate_scan_workspace_dir(self) -> str:\n \"\"\"\n 生成 Scan 工作空间目录路径\n \n 职责：\n - 生成唯一的 Scan 级别工作空间目录路径字符串\n - 不创建实际目录（由 Flow 层负责）\n \n Returns:\n Scan 工作空间目录路径字符串\n \n 格式：{SCAN_RESULTS_DIR}/scan_{timestamp}_{uuid8}/\n 示例：/data/scans/scan_20231104_152030_a3f2b7e9/\n \n Raises:\n ValueError: 如果 SCAN_RESULTS_DIR 未设置或为空\n \n Note:\n 使用秒级时间戳 + 8 位 UUID 确保路径唯一性\n 冲突概率：同一秒内创建 1000 个扫描，冲突概率 < 0.01%\n \"\"\"\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n unique_id = uuid.uuid4().hex[:8] # 8 位十六进制UUID (4,294,967,296 种可能)\n \n # 从 settings 获取，保持配置统一\n base_dir = getattr(settings, 'SCAN_RESULTS_DIR', None)\n if not base_dir:\n error_msg = \"SCAN_RESULTS_DIR 未设置，无法创建扫描工作空间\"\n logger.error(error_msg)\n raise ValueError(error_msg)\n \n scan_workspace_dir = str(Path(base_dir) / f\"scan_{timestamp}_{unique_id}\")\n return scan_workspace_dir\n \n def create_scans(\n self,\n targets: List[Target],\n engine_ids: List[int],\n engine_names: List[str],\n yaml_configuration: str,\n scheduled_scan_name: str | None = None\n ) -> List[Scan]:\n \"\"\"\n 为多个目标批量创建扫描任务，后台异步分发到 Worker\n \n Args:\n targets: 目标列表\n engine_ids: 引擎 ID 列表\n engine_names: 引擎名称列表\n yaml_configuration: YAML 格式的扫描配置\n scheduled_scan_name: 定时扫描任务名称（可选，用于通知显示）\n \n Returns:\n 创建的 Scan 对象列表（立即返回，不等待分发完成）\n \n 流程：\n 1. 同步：批量创建 Scan 记录（快速）\n 2. 异步：后台线程通过 TaskDistributor 分发任务到 Workers\n \"\"\"\n # 第一步：准备批量创建的数据\n scans_to_create = []\n \n for target in targets:\n try:\n scan_workspace_dir = self._generate_scan_workspace_dir()\n scan = Scan(\n target=target,\n engine_ids=engine_ids,\n engine_names=engine_names,\n yaml_configuration=yaml_configuration,\n results_dir=scan_workspace_dir,\n status=ScanStatus.INITIATED,\n container_ids=[],\n )\n scans_to_create.append(scan)\n except (ValidationError, ValueError) as e:\n logger.error(\n \"准备扫描任务数据失败 - Target: %s, 错误: %s\",\n target.name, e\n )\n continue\n \n if not scans_to_create:\n logger.warning(\"没有需要创建的扫描任务\")\n return []\n \n # 第二步：使用事务批量创建（同步，快速）\n created_scans = []\n try:\n with transaction.atomic():\n created_scans = self.scan_repo.bulk_create(scans_to_create)\n logger.info(\"批量创建扫描记录成功 - 数量: %d\", len(created_scans))\n except (DatabaseError, IntegrityError) as e:\n logger.exception(\"数据库错误：批量创建扫描记录失败 - 错误: %s\", e)\n return []\n except ValidationError as e:\n logger.error(\"验证错误：扫描任务数据无效 - 错误: %s\", e)\n return []\n \n # 第三步：分发任务到 Workers\n # 使用第一个引擎名称作为显示名称，或者合并显示\n display_engine_name = ', '.join(engine_names) if engine_names else ''\n scan_data = [\n {\n 'scan_id': scan.id,\n 'target_name': scan.target.name,\n 'target_id': scan.target.id,\n 'results_dir': scan.results_dir,\n 'engine_name': display_engine_name,\n 'scheduled_scan_name': scheduled_scan_name,\n }\n for scan in created_scans\n ]\n \n # 后台线程异步分发（不阻塞 API/调度器）\n thread = threading.Thread(\n target=self._distribute_scans_to_workers,\n args=(scan_data,),\n daemon=True,\n )\n thread.start()\n logger.info(\"扫描任务已创建，后台分发中 - 数量: %d\", len(created_scans))\n \n return created_scans\n \n def _distribute_scans_to_workers(self, scan_data: List[dict]):\n \"\"\"\n 后台线程：分发扫描任务到 Workers\n \n Args:\n scan_data: 扫描任务数据列表\n \"\"\"\n logger.info(\"=\"*60)\n logger.info(\"开始分发扫描任务到 Workers - 数量: %d\", len(scan_data))\n logger.info(\"=\"*60)\n \n # 后台线程需要新的数据库连接\n connection.close()\n logger.info(\"已关闭旧数据库连接，准备获取新连接\")\n \n distributor = get_task_distributor()\n logger.info(\"TaskDistributor 初始化完成\")\n \n scan_repo = DjangoScanRepository()\n logger.info(\"ScanRepository 初始化完成\")\n \n for data in scan_data:\n scan_id = data['scan_id']\n logger.info(\"-\"*40)\n logger.info(\"准备分发扫描任务 - Scan ID: %s, Target: %s\", scan_id, data['target_name'])\n try:\n logger.info(\"调用 distributor.execute_scan_flow...\")\n success, message, container_id, worker_id = distributor.execute_scan_flow(\n scan_id=scan_id,\n target_name=data['target_name'],\n target_id=data['target_id'],\n scan_workspace_dir=data['results_dir'],\n engine_name=data['engine_name'],\n scheduled_scan_name=data.get('scheduled_scan_name'),\n )\n \n logger.info(\n \"execute_scan_flow 返回 - success: %s, message: %s, container_id: %s, worker_id: %s\",\n success, message, container_id, worker_id\n )\n \n if success:\n if container_id:\n scan_repo.append_container_id(scan_id, container_id)\n logger.info(\"已记录 container_id: %s\", container_id)\n if worker_id:\n scan_repo.update_worker(scan_id, worker_id)\n logger.info(\"已记录 worker_id: %s\", worker_id)\n logger.info(\n \"✓ 扫描任务已提交 - Scan ID: %s, Worker: %s\",\n scan_id, worker_id\n )\n else:\n logger.error(\"execute_scan_flow 返回失败 - message: %s\", message)\n raise Exception(message)\n \n except Exception as e:\n logger.error(\"提交扫描任务失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n logger.exception(\"详细堆栈:\")\n try:\n scan_repo.update_status(\n scan_id,\n ScanStatus.FAILED,\n error_message=f'提交任务失败: {e}',\n )\n except (DatabaseError, OperationalError) as save_error:\n logger.error(\"更新状态失败 - Scan ID: %s, 错误: %s\", scan_id, save_error)\n\n\n# 导出接口\n__all__ = ['ScanCreationService']\n" }, { "path": "backend/apps/scan/services/scan_service.py", "content": "\"\"\"\n扫描任务服务\n\n负责 Scan 模型的所有业务逻辑\n\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nimport uuid\nfrom typing import Dict, List, TYPE_CHECKING\nfrom datetime import datetime\nfrom pathlib import Path\nfrom django.conf import settings\nfrom django.db import transaction\nfrom django.db.utils import DatabaseError, IntegrityError, OperationalError\nfrom django.core.exceptions import ValidationError, ObjectDoesNotExist\n\nfrom apps.scan.models import Scan\nfrom apps.scan.repositories import DjangoScanRepository\nfrom apps.targets.repositories import DjangoTargetRepository, DjangoOrganizationRepository\nfrom apps.engine.repositories import DjangoEngineRepository\nfrom apps.targets.models import Target\nfrom apps.engine.models import ScanEngine\nfrom apps.common.definitions import ScanStatus\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScanService:\n \"\"\"\n 扫描任务服务（协调者）\n \n 职责：\n - 协调各个子服务\n - 提供统一的公共接口\n - 保持向后兼容\n \n 注意：\n - 具体业务逻辑已拆分到子服务\n - 本类主要负责委托和协调\n \"\"\"\n \n # 终态集合：这些状态一旦设置，不应该被覆盖\n FINAL_STATUSES = {\n ScanStatus.COMPLETED,\n ScanStatus.FAILED,\n ScanStatus.CANCELLED\n }\n \n def __init__(self):\n \"\"\"\n 初始化服务\n \"\"\"\n # 初始化子服务\n from apps.scan.services.scan_creation_service import ScanCreationService\n from apps.scan.services.scan_state_service import ScanStateService\n from apps.scan.services.scan_control_service import ScanControlService\n from apps.scan.services.scan_stats_service import ScanStatsService\n \n self.creation_service = ScanCreationService()\n self.state_service = ScanStateService()\n self.control_service = ScanControlService()\n self.stats_service = ScanStatsService()\n \n # 保留 ScanRepository（用于 get_scan 方法）\n self.scan_repo = DjangoScanRepository()\n \n def get_scan(self, scan_id: int, prefetch_relations: bool) -> Scan | None:\n \"\"\"\n 获取扫描任务（包含关联对象）\n \n 自动预加载 engine 和 target，避免 N+1 查询问题\n \n Args:\n scan_id: 扫描任务 ID\n \n Returns:\n Scan 对象（包含 engine 和 target）或 None\n \"\"\"\n return self.scan_repo.get_by_id(scan_id, prefetch_relations)\n \n def get_all_scans(self, prefetch_relations: bool = True):\n return self.scan_repo.get_all(prefetch_relations=prefetch_relations)\n \n def prepare_initiate_scan(\n self,\n organization_id: int | None = None,\n target_id: int | None = None,\n engine_id: int | None = None\n ) -> tuple[List[Target], ScanEngine]:\n \"\"\"\n 为创建扫描任务做准备，返回所需的目标列表和扫描引擎\n \"\"\"\n return self.creation_service.prepare_initiate_scan(\n organization_id, target_id, engine_id\n )\n \n def prepare_initiate_scan_multi_engine(\n self,\n organization_id: int | None = None,\n target_id: int | None = None,\n engine_ids: List[int] | None = None\n ) -> tuple[List[Target], str, List[str], List[int]]:\n \"\"\"\n 为创建多引擎扫描任务做准备\n \n Returns:\n (目标列表, 合并配置, 引擎名称列表, 引擎ID列表)\n \"\"\"\n return self.creation_service.prepare_initiate_scan_multi_engine(\n organization_id, target_id, engine_ids\n )\n \n def create_scans(\n self,\n targets: List[Target],\n engine_ids: List[int],\n engine_names: List[str],\n yaml_configuration: str,\n scheduled_scan_name: str | None = None\n ) -> List[Scan]:\n \"\"\"批量创建扫描任务（委托给 ScanCreationService）\"\"\"\n return self.creation_service.create_scans(\n targets, engine_ids, engine_names, yaml_configuration, scheduled_scan_name\n )\n \n # ==================== 状态管理方法（委托给 ScanStateService） ====================\n \n def update_status(\n self, \n scan_id: int, \n status: ScanStatus, \n error_message: str | None = None,\n stopped_at: datetime | None = None\n ) -> bool:\n \"\"\"更新 Scan 状态（委托给 ScanStateService）\"\"\"\n return self.state_service.update_status(\n scan_id, status, error_message, stopped_at\n )\n \n def update_status_if_match(\n self,\n scan_id: int,\n current_status: ScanStatus,\n new_status: ScanStatus,\n stopped_at: datetime | None = None\n ) -> bool:\n \"\"\"条件更新 Scan 状态（委托给 ScanStateService）\"\"\"\n return self.state_service.update_status_if_match(\n scan_id, current_status, new_status, stopped_at\n )\n \n def update_cached_stats(self, scan_id: int) -> dict | None:\n \"\"\"更新缓存统计数据（委托给 ScanStateService），返回统计数据字典\"\"\"\n return self.state_service.update_cached_stats(scan_id)\n \n # ==================== 进度跟踪方法（委托给 ScanStateService） ====================\n \n def init_stage_progress(self, scan_id: int, stages: list[str]) -> bool:\n \"\"\"初始化阶段进度（委托给 ScanStateService）\"\"\"\n return self.state_service.init_stage_progress(scan_id, stages)\n \n def start_stage(self, scan_id: int, stage: str) -> bool:\n \"\"\"开始执行某个阶段（委托给 ScanStateService）\"\"\"\n return self.state_service.start_stage(scan_id, stage)\n \n def complete_stage(self, scan_id: int, stage: str, detail: str | None = None) -> bool:\n \"\"\"完成某个阶段（委托给 ScanStateService）\"\"\"\n return self.state_service.complete_stage(scan_id, stage, detail)\n \n def fail_stage(self, scan_id: int, stage: str, error: str | None = None) -> bool:\n \"\"\"标记某个阶段失败（委托给 ScanStateService）\"\"\"\n return self.state_service.fail_stage(scan_id, stage, error)\n \n def cancel_running_stages(self, scan_id: int, final_status: str = \"cancelled\") -> bool:\n \"\"\"取消所有正在运行的阶段（委托给 ScanStateService）\"\"\"\n return self.state_service.cancel_running_stages(scan_id, final_status)\n \n # TODO：待接入\n def add_command_to_scan(self, scan_id: int, stage_name: str, tool_name: str, command: str) -> bool:\n \"\"\"\n 增量添加命令到指定扫描阶段\n \n Args:\n scan_id: 扫描任务ID\n stage_name: 阶段名称（如 'subdomain_discovery', 'port_scan'）\n tool_name: 工具名称\n command: 执行命令\n \n Returns:\n bool: 是否成功添加\n \"\"\"\n try:\n scan = self.get_scan(scan_id, prefetch_relations=False)\n if not scan:\n logger.error(f\"扫描任务不存在: {scan_id}\")\n return False\n \n stage_progress = scan.stage_progress or {}\n \n # 确保指定阶段存在\n if stage_name not in stage_progress:\n stage_progress[stage_name] = {'status': 'running', 'commands': []}\n \n # 确保 commands 列表存在\n if 'commands' not in stage_progress[stage_name]:\n stage_progress[stage_name]['commands'] = []\n \n # 增量添加命令\n command_entry = f\"{tool_name}: {command}\"\n stage_progress[stage_name]['commands'].append(command_entry)\n \n scan.stage_progress = stage_progress\n scan.save(update_fields=['stage_progress'])\n \n command_count = len(stage_progress[stage_name]['commands'])\n logger.info(f\"✓ 记录命令: {stage_name}.{tool_name} (总计: {command_count})\")\n return True\n \n except Exception as e:\n logger.error(f\"记录命令失败: {e}\")\n return False\n \n # ==================== 删除和控制方法（委托给 ScanControlService） ====================\n \n def delete_scans_two_phase(self, scan_ids: List[int]) -> dict:\n \"\"\"两阶段删除扫描任务（委托给 ScanControlService）\"\"\"\n return self.control_service.delete_scans_two_phase(scan_ids)\n \n def stop_scan(self, scan_id: int) -> tuple[bool, int]:\n \"\"\"停止扫描任务（委托给 ScanControlService）\"\"\"\n return self.control_service.stop_scan(scan_id)\n \n def hard_delete_scans(self, scan_ids: List[int]) -> tuple[int, Dict[str, int]]:\n \"\"\"\n 硬删除扫描任务（真正删除数据）\n \n 用于 Worker 容器中执行，删除已软删除的扫描及其关联数据。\n \n Args:\n scan_ids: 扫描任务 ID 列表\n \n Returns:\n (删除数量, 详情字典)\n \"\"\"\n return self.scan_repo.hard_delete_by_ids(scan_ids)\n \n # ==================== 统计方法（委托给 ScanStatsService） ====================\n \n def get_statistics(self) -> dict:\n \"\"\"获取扫描统计数据（委托给 ScanStatsService）\"\"\"\n return self.stats_service.get_statistics()\n \n\n\n# 导出接口\n__all__ = ['ScanService']\n" }, { "path": "backend/apps/scan/services/scan_state_service.py", "content": "\"\"\"\n扫描状态管理服务\n\n职责：\n- 更新扫描状态\n- 条件状态更新（乐观锁）\n- 更新缓存统计数据\n\"\"\"\n\nimport logging\nfrom datetime import datetime\nfrom django.db.utils import DatabaseError, OperationalError\nfrom django.core.exceptions import ObjectDoesNotExist\n\nfrom apps.common.definitions import ScanStatus\nfrom apps.scan.repositories import DjangoScanRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScanStateService:\n \"\"\"\n 扫描状态管理服务\n \n 职责：\n - 更新扫描状态\n - 条件状态更新（乐观锁）\n - 更新缓存统计数据\n - 状态验证\n \"\"\"\n \n def __init__(self):\n \"\"\"\n 初始化服务\n \"\"\"\n self.repo = DjangoScanRepository()\n \n def update_status(\n self, \n scan_id: int, \n status: ScanStatus, \n error_message: str | None = None,\n stopped_at: datetime | None = None\n ) -> bool:\n \"\"\"\n 更新 Scan 状态\n \n Args:\n scan_id: 扫描任务 ID\n status: 新状态\n error_message: 错误消息（可选）\n stopped_at: 结束时间（可选）\n \n Returns:\n 是否更新成功\n \n Note:\n created_at 是自动设置的，不需要手动传递\n \"\"\"\n try:\n result = self.repo.update_status(\n scan_id, \n status, \n error_message,\n stopped_at=stopped_at\n )\n if result:\n logger.debug(\n \"更新 Scan 状态成功 - Scan ID: %s, 状态: %s\", \n scan_id, \n ScanStatus(status).label\n )\n return result\n except (DatabaseError, OperationalError) as e:\n logger.exception(\"数据库错误：更新 Scan 状态失败 - Scan ID: %s\", scan_id)\n raise # 数据库错误应该向上传播\n except ObjectDoesNotExist:\n logger.error(\"Scan 不存在 - Scan ID: %s\", scan_id)\n return False\n \n def update_status_if_match(\n self,\n scan_id: int,\n current_status: ScanStatus,\n new_status: ScanStatus,\n stopped_at: datetime | None = None\n ) -> bool:\n \"\"\"\n 条件更新 Scan 状态（原子操作）\n \n 仅当扫描状态匹配 current_status 时才更新为 new_status。\n 这是一个原子操作，用于处理并发场景下的状态更新。\n \n Args:\n scan_id: 扫描任务 ID\n current_status: 当前期望的状态\n new_status: 要更新到的新状态\n stopped_at: 结束时间（可选）\n \n Returns:\n 是否更新成功（True=更新了记录，False=未更新或状态不匹配）\n \n Note:\n 此方法通过 Repository 层执行原子操作，适用于需要条件更新的场景\n \"\"\"\n try:\n result = self.repo.update_status_if_match(\n scan_id=scan_id,\n current_status=current_status,\n new_status=new_status,\n stopped_at=stopped_at\n )\n if result:\n logger.debug(\n \"条件更新 Scan 状态成功 - Scan ID: %s, %s → %s\",\n scan_id,\n current_status.value,\n new_status.value\n )\n return result\n except (DatabaseError, OperationalError) as e:\n logger.exception(\n \"数据库错误：条件更新 Scan 状态失败 - Scan ID: %s\",\n scan_id\n )\n raise\n except Exception as e:\n logger.error(\n \"条件更新 Scan 状态失败 - Scan ID: %s, 错误: %s\",\n scan_id,\n e\n )\n return False\n \n def update_cached_stats(self, scan_id: int) -> dict | None:\n \"\"\"\n 更新扫描任务的缓存统计数据\n \n 使用 Repository 层进行数据访问，符合分层架构规范\n \n Args:\n scan_id: 扫描任务 ID\n \n Returns:\n 成功返回统计数据字典，失败返回 None\n \n Note:\n 应该在扫描进入终态时调用，更新缓存的统计字段以提升查询性能\n \"\"\"\n try:\n # 通过 Repository 层更新统计数据\n result = self.repo.update_cached_stats(scan_id)\n if result:\n logger.debug(\"更新缓存统计数据成功 - Scan ID: %s\", scan_id)\n return result\n except (DatabaseError, OperationalError) as e:\n logger.exception(\"数据库错误：更新缓存统计数据失败 - Scan ID: %s\", scan_id)\n return None\n except Exception as e:\n logger.error(\"更新缓存统计数据失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n return None\n \n def update_progress(\n self,\n scan_id: int,\n progress: int | None = None,\n current_stage: str | None = None,\n stage_progress: dict | None = None\n ) -> bool:\n \"\"\"\n 更新扫描进度信息\n \n Args:\n scan_id: 扫描任务 ID\n progress: 进度百分比 0-100（可选）\n current_stage: 当前阶段（可选）\n stage_progress: 各阶段详情（可选）\n \n Returns:\n 是否更新成功\n \"\"\"\n try:\n result = self.repo.update_progress(\n scan_id,\n progress=progress,\n current_stage=current_stage,\n stage_progress=stage_progress\n )\n if result:\n logger.debug(\n \"更新扫描进度成功 - Scan ID: %s, stage: %s\",\n scan_id,\n current_stage\n )\n return result\n except (DatabaseError, OperationalError) as e:\n logger.exception(\"数据库错误：更新扫描进度失败 - Scan ID: %s\", scan_id)\n return False\n except Exception as e:\n logger.error(\"更新扫描进度失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n return False\n \n def init_stage_progress(self, scan_id: int, stages: list[str]) -> bool:\n \"\"\"\n 初始化阶段进度（所有阶段设为 pending）\n \n Args:\n scan_id: 扫描任务 ID\n stages: 阶段列表，如 ['subdomain_discovery', 'port_scan', ...]\n 顺序与 engine_config 配置和 Flow 执行顺序一致\n \n Returns:\n 是否初始化成功\n \"\"\"\n stage_progress = {\n stage: {\"status\": \"pending\", \"order\": idx}\n for idx, stage in enumerate(stages)\n }\n return self.update_progress(\n scan_id,\n progress=0,\n stage_progress=stage_progress\n )\n \n def start_stage(self, scan_id: int, stage: str) -> bool:\n \"\"\"\n 开始执行某个阶段\n \n Args:\n scan_id: 扫描任务 ID\n stage: 阶段名称\n \n Returns:\n 是否更新成功\n \"\"\"\n from datetime import datetime\n \n # 从数据库获取当前进度状态\n scan = self.repo.get_by_id(scan_id)\n if not scan:\n logger.warning(f\"start_stage: Scan not found - ID: {scan_id}\")\n return False\n \n stage_progress = scan.stage_progress or {}\n \n # 保留原有的 order 字段\n existing = stage_progress.get(stage, {})\n order = existing.get(\"order\", 0)\n \n # 如果阶段已经是 cancelled 状态，不要启动\n if existing.get(\"status\") == \"cancelled\":\n logger.info(f\"start_stage: 阶段已取消，跳过 - Scan ID: {scan_id}, Stage: {stage}\")\n return True\n \n stage_progress[stage] = {\n \"status\": \"running\",\n \"order\": order,\n \"started_at\": datetime.now().isoformat()\n }\n \n # 计算进度百分比\n total_stages = len(stage_progress)\n completed = sum(1 for s in stage_progress.values() if s.get(\"status\") == \"completed\")\n progress = int((completed / total_stages) * 100) if total_stages > 0 else 0\n \n return self.update_progress(\n scan_id,\n progress=progress,\n current_stage=stage,\n stage_progress=stage_progress\n )\n \n def complete_stage(\n self,\n scan_id: int,\n stage: str,\n detail: str | None = None\n ) -> bool:\n \"\"\"\n 完成某个阶段\n \n Args:\n scan_id: 扫描任务 ID\n stage: 阶段名称\n detail: 完成详情（可选）\n \n Returns:\n 是否更新成功\n \"\"\"\n from datetime import datetime\n \n # 从数据库获取当前进度状态\n scan = self.repo.get_by_id(scan_id)\n if not scan:\n logger.warning(f\"complete_stage: Scan not found - ID: {scan_id}\")\n return False\n \n stage_progress = scan.stage_progress or {}\n \n existing = stage_progress.get(stage, {})\n order = existing.get(\"order\", 0)\n started_at = existing.get(\"started_at\")\n \n # 如果阶段已经是 cancelled 状态，不要覆盖为 completed\n if existing.get(\"status\") == \"cancelled\":\n logger.info(f\"complete_stage: 阶段已取消，跳过 - Scan ID: {scan_id}, Stage: {stage}\")\n return True\n \n duration = 0 # 默认 0，避免 null\n if started_at:\n try:\n start_time = datetime.fromisoformat(started_at)\n duration = int((datetime.now() - start_time).total_seconds())\n except (ValueError, TypeError):\n logger.warning(f\"complete_stage: 无法解析 started_at - Stage: {stage}, Value: {started_at}\")\n else:\n logger.error(f\"complete_stage: started_at 缺失 - Scan ID: {scan_id}, Stage: {stage}\")\n \n stage_progress[stage] = {\n \"status\": \"completed\",\n \"order\": order,\n \"duration\": duration,\n }\n if detail:\n stage_progress[stage][\"detail\"] = detail\n \n # 计算进度百分比\n total_stages = len(stage_progress)\n completed = sum(1 for s in stage_progress.values() if s.get(\"status\") == \"completed\")\n progress = int((completed / total_stages) * 100) if total_stages > 0 else 0\n \n # 如果全部完成，进度设为 100\n if completed == total_stages:\n progress = 100\n \n return self.update_progress(\n scan_id,\n progress=progress,\n current_stage=\"\" if completed == total_stages else stage,\n stage_progress=stage_progress\n )\n \n def fail_stage(\n self,\n scan_id: int,\n stage: str,\n error: str | None = None\n ) -> bool:\n \"\"\"\n 标记某个阶段失败\n \n Args:\n scan_id: 扫描任务 ID\n stage: 阶段名称\n error: 错误信息（可选）\n \n Returns:\n 是否更新成功\n \"\"\"\n # 从数据库获取当前进度状态\n scan = self.repo.get_by_id(scan_id)\n if not scan:\n logger.warning(f\"fail_stage: Scan not found - ID: {scan_id}\")\n return False\n \n stage_progress = scan.stage_progress or {}\n \n # 保留原有的 order 字段\n existing = stage_progress.get(stage, {})\n order = existing.get(\"order\", 0)\n \n # 如果阶段已经是 cancelled 状态，不要覆盖为 failed\n # （用户手动停止时会先标记为 cancelled，docker kill 后触发的 on_failed 不应覆盖）\n if existing.get(\"status\") == \"cancelled\":\n logger.info(f\"fail_stage: 阶段已取消，跳过 - Scan ID: {scan_id}, Stage: {stage}\")\n return True\n \n stage_progress[stage] = {\n \"status\": \"failed\",\n \"order\": order,\n \"error\": error\n }\n \n return self.update_progress(\n scan_id,\n current_stage=stage,\n stage_progress=stage_progress\n )\n \n def cancel_running_stages(self, scan_id: int, final_status: str = \"cancelled\") -> bool:\n \"\"\"\n 标记所有未完成的阶段（扫描被取消时调用）\n \n 将所有 running 状态的阶段标记为 final_status，\n 将所有 pending 状态的阶段标记为 skipped\n \n Args:\n scan_id: 扫描任务 ID\n final_status: running 阶段的最终状态\n \n Returns:\n 是否更新成功\n \"\"\"\n try:\n scan = self.repo.get_by_id(scan_id)\n if not scan or not scan.stage_progress:\n return False\n \n stage_progress = scan.stage_progress\n updated = False\n \n for stage, info in stage_progress.items():\n status = info.get(\"status\")\n order = info.get(\"order\", 0)\n \n if status == \"running\":\n # 正在运行的阶段标记为 final_status\n stage_progress[stage] = {\n \"status\": final_status,\n \"order\": order,\n }\n updated = True\n elif status == \"pending\":\n # 未开始的阶段统一标记为 cancelled\n stage_progress[stage] = {\n \"status\": \"cancelled\",\n \"order\": order,\n }\n updated = True\n \n if updated:\n self.update_progress(\n scan_id,\n current_stage=\"\",\n stage_progress=stage_progress\n )\n \n return True\n except Exception as e:\n logger.error(\"取消阶段进度失败 - Scan ID: %s, 错误: %s\", scan_id, e)\n return False\n\n\n# 导出接口\n__all__ = ['ScanStateService']\n" }, { "path": "backend/apps/scan/services/scan_stats_service.py", "content": "\"\"\"\n扫描统计服务\n\n职责：\n- 获取扫描统计数据\n- 数据聚合查询\n\"\"\"\n\nimport logging\nfrom django.db.utils import DatabaseError, OperationalError\n\nfrom apps.scan.repositories import DjangoScanRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScanStatsService:\n \"\"\"\n 扫描统计服务\n \n 职责：\n - 统计数据查询\n - 数据聚合\n \"\"\"\n \n def __init__(self):\n \"\"\"\n 初始化服务\n \"\"\"\n self.scan_repo = DjangoScanRepository()\n \n def get_statistics(self) -> dict:\n \"\"\"\n 获取扫描任务统计数据\n \n Returns:\n 统计数据字典\n \n Raises:\n DatabaseError: 数据库错误\n \n Note:\n 使用 Repository 层的聚合查询，性能优异\n \"\"\"\n try:\n statistics = self.scan_repo.get_statistics()\n logger.debug(\"获取扫描统计数据成功 - 总数: %d\", statistics['total'])\n return statistics\n except (DatabaseError, OperationalError) as e:\n logger.exception(\"数据库错误：获取扫描统计数据失败\")\n raise\n\n\n# 导出接口\n__all__ = ['ScanStatsService']\n" }, { "path": "backend/apps/scan/services/scheduled_scan_service.py", "content": "\"\"\"\n定时扫描任务 Service\n\n业务逻辑层：\n- 管理定时扫描任务的 CRUD\n- 计算下次执行时间\n- APScheduler 会每分钟检查 next_run_time，到期任务通过 task_distributor 分发\n\"\"\"\nimport logging\nfrom typing import List, Optional, Tuple\nfrom datetime import datetime\n\nfrom django.core.exceptions import ValidationError\n\nfrom apps.scan.models import ScheduledScan\nfrom apps.scan.repositories import DjangoScheduledScanRepository, ScheduledScanDTO\nfrom apps.scan.utils.config_merger import merge_engine_configs, ConfigConflictError\nfrom apps.engine.repositories import DjangoEngineRepository\nfrom apps.targets.services import TargetService\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScheduledScanService:\n \"\"\"\n 定时扫描任务服务\n \n 职责：\n - 定时扫描任务的 CRUD 操作\n - 调度逻辑处理（基于 next_run_time）\n \"\"\"\n \n def __init__(self):\n self.repo = DjangoScheduledScanRepository()\n self.engine_repo = DjangoEngineRepository()\n self.target_service = TargetService()\n \n # ==================== 查询方法 ====================\n \n def get_by_id(self, scheduled_scan_id: int) -> Optional[ScheduledScan]:\n \"\"\"根据 ID 获取定时扫描任务\"\"\"\n return self.repo.get_by_id(scheduled_scan_id)\n \n def get_queryset(self):\n \"\"\"获取所有定时扫描任务的查询集\"\"\"\n return self.repo.get_queryset()\n\n def get_all(self, page: int = 1, page_size: int = 10) -> Tuple[List[ScheduledScan], int]:\n \"\"\"分页获取所有定时扫描任务\"\"\"\n return self.repo.get_all(page, page_size)\n \n # ==================== 创建方法 ====================\n \n def create(self, dto: ScheduledScanDTO) -> ScheduledScan:\n \"\"\"\n 创建定时扫描任务（使用引擎 ID 合并配置）\n \n 流程：\n 1. 验证参数\n 2. 合并引擎配置\n 3. 创建数据库记录\n 4. 计算并设置 next_run_time\n \n Args:\n dto: 定时扫描 DTO\n \n Returns:\n 创建的 ScheduledScan 对象\n \n Raises:\n ValidationError: 参数验证失败\n ConfigConflictError: 引擎配置冲突\n \"\"\"\n # 1. 验证参数\n self._validate_create_dto(dto)\n \n # 2. 合并引擎配置\n engines = []\n engine_names = []\n for engine_id in dto.engine_ids:\n engine = self.engine_repo.get_by_id(engine_id)\n if engine:\n engines.append((engine.name, engine.configuration or ''))\n engine_names.append(engine.name)\n \n merged_configuration = merge_engine_configs(engines)\n \n # 设置 DTO 的合并配置和引擎名称\n dto.engine_names = engine_names\n dto.yaml_configuration = merged_configuration\n \n # 3. 创建数据库记录\n scheduled_scan = self.repo.create(dto)\n \n # 4. 如果有 cron 表达式且已启用，计算下次执行时间\n if scheduled_scan.cron_expression and scheduled_scan.is_enabled:\n next_run_time = self._calculate_next_run_time(scheduled_scan)\n if next_run_time:\n self.repo.update_next_run_time(scheduled_scan.id, next_run_time)\n scheduled_scan.next_run_time = next_run_time\n \n logger.info(\n \"创建定时扫描任务 - ID: %s, 名称: %s, 下次执行: %s\",\n scheduled_scan.id, scheduled_scan.name, scheduled_scan.next_run_time\n )\n \n return scheduled_scan\n \n def create_with_configuration(self, dto: ScheduledScanDTO) -> ScheduledScan:\n \"\"\"\n 创建定时扫描任务（直接使用前端传递的配置）\n \n 流程：\n 1. 验证参数\n 2. 直接使用 dto.yaml_configuration\n 3. 创建数据库记录\n 4. 计算并设置 next_run_time\n \n Args:\n dto: 定时扫描 DTO（必须包含 yaml_configuration）\n \n Returns:\n 创建的 ScheduledScan 对象\n \n Raises:\n ValidationError: 参数验证失败\n \"\"\"\n # 1. 验证参数\n self._validate_create_dto_with_configuration(dto)\n \n # 2. 创建数据库记录（直接使用 dto 中的配置）\n scheduled_scan = self.repo.create(dto)\n \n # 3. 如果有 cron 表达式且已启用，计算下次执行时间\n if scheduled_scan.cron_expression and scheduled_scan.is_enabled:\n next_run_time = self._calculate_next_run_time(scheduled_scan)\n if next_run_time:\n self.repo.update_next_run_time(scheduled_scan.id, next_run_time)\n scheduled_scan.next_run_time = next_run_time\n \n logger.info(\n \"创建定时扫描任务 - ID: %s, 名称: %s, 下次执行: %s\",\n scheduled_scan.id, scheduled_scan.name, scheduled_scan.next_run_time\n )\n \n return scheduled_scan\n \n def _validate_create_dto(self, dto: ScheduledScanDTO) -> None:\n \"\"\"验证创建 DTO（使用引擎 ID）\"\"\"\n # 基础验证\n self._validate_base_dto(dto)\n \n if not dto.engine_ids:\n raise ValidationError('必须选择扫描引擎')\n \n # 验证所有引擎是否存在\n for engine_id in dto.engine_ids:\n if not self.engine_repo.get_by_id(engine_id):\n raise ValidationError(f'扫描引擎 ID {engine_id} 不存在')\n \n def _validate_create_dto_with_configuration(self, dto: ScheduledScanDTO) -> None:\n \"\"\"验证创建 DTO（使用前端传递的配置）\"\"\"\n # 基础验证\n self._validate_base_dto(dto)\n \n if not dto.yaml_configuration:\n raise ValidationError('配置不能为空')\n \n def _validate_base_dto(self, dto: ScheduledScanDTO) -> None:\n \"\"\"验证 DTO 的基础字段（公共逻辑）\"\"\"\n from apps.targets.repositories import DjangoOrganizationRepository\n \n if not dto.name:\n raise ValidationError('任务名称不能为空')\n \n # 验证扫描模式（organization_id 和 target_id 互斥）\n if not dto.organization_id and not dto.target_id:\n raise ValidationError('必须选择组织或扫描目标')\n \n if dto.organization_id and dto.target_id:\n raise ValidationError('组织扫描和目标扫描只能选择其中一种')\n \n # 组织扫描模式：验证组织是否存在\n if dto.organization_id:\n org_repo = DjangoOrganizationRepository()\n if not org_repo.get_by_id(dto.organization_id):\n raise ValidationError(f'组织 ID {dto.organization_id} 不存在')\n \n # 目标扫描模式：验证目标是否存在\n if dto.target_id:\n if not self.target_service.get_by_id(dto.target_id):\n raise ValidationError(f'目标 ID {dto.target_id} 不存在')\n \n # 验证 cron 表达式格式（简单校验）\n if dto.cron_expression:\n parts = dto.cron_expression.split()\n if len(parts) != 5:\n raise ValidationError('Cron 表达式格式错误，需要 5 个部分：分 时 日 月 周')\n \n # ==================== 更新方法 ====================\n \n def update(self, scheduled_scan_id: int, dto: ScheduledScanDTO) -> Optional[ScheduledScan]:\n \"\"\"\n 更新定时扫描任务\n \n Args:\n scheduled_scan_id: 定时扫描 ID\n dto: 更新的数据\n \n Returns:\n 更新后的 ScheduledScan 对象\n \n Raises:\n ConfigConflictError: 引擎配置冲突\n \"\"\"\n existing = self.repo.get_by_id(scheduled_scan_id)\n if not existing:\n return None\n \n # 如果引擎变更，重新合并配置\n if dto.engine_ids is not None:\n engines = []\n engine_names = []\n for engine_id in dto.engine_ids:\n engine = self.engine_repo.get_by_id(engine_id)\n if engine:\n engines.append((engine.name, engine.configuration or ''))\n engine_names.append(engine.name)\n \n merged_configuration = merge_engine_configs(engines)\n dto.engine_names = engine_names\n dto.yaml_configuration = merged_configuration\n \n # 更新数据库记录\n scheduled_scan = self.repo.update(scheduled_scan_id, dto)\n if not scheduled_scan:\n return None\n \n # 如果 cron 表达式或启用状态变化，重新计算 next_run_time\n cron_changed = dto.cron_expression is not None and dto.cron_expression != existing.cron_expression\n enabled_changed = dto.is_enabled is not None and dto.is_enabled != existing.is_enabled\n \n if cron_changed or enabled_changed:\n if scheduled_scan.is_enabled and scheduled_scan.cron_expression:\n next_run_time = self._calculate_next_run_time(scheduled_scan)\n self.repo.update_next_run_time(scheduled_scan.id, next_run_time)\n scheduled_scan.next_run_time = next_run_time\n else:\n # 禁用或无 cron 表达式，清空下次执行时间\n self.repo.update_next_run_time(scheduled_scan.id, None)\n scheduled_scan.next_run_time = None\n \n return scheduled_scan\n \n # ==================== 启用/禁用方法 ====================\n \n def toggle_enabled(self, scheduled_scan_id: int, enabled: bool) -> bool:\n \"\"\"\n 切换定时扫描任务的启用状态\n \n Args:\n scheduled_scan_id: 定时扫描 ID\n enabled: 是否启用\n \n Returns:\n 是否成功\n \"\"\"\n scheduled_scan = self.repo.get_by_id(scheduled_scan_id)\n if not scheduled_scan:\n return False\n \n # 更新数据库\n if not self.repo.toggle_enabled(scheduled_scan_id, enabled):\n return False\n \n # 更新 next_run_time\n if enabled and scheduled_scan.cron_expression:\n next_run_time = self._calculate_next_run_time(scheduled_scan)\n self.repo.update_next_run_time(scheduled_scan_id, next_run_time)\n else:\n self.repo.update_next_run_time(scheduled_scan_id, None)\n \n logger.info(\"切换定时扫描状态 - ID: %s, Enabled: %s\", scheduled_scan_id, enabled)\n return True\n \n def record_run(self, scheduled_scan_id: int) -> bool:\n \"\"\"\n 记录一次执行（增加执行次数、更新上次执行时间、计算下次执行时间）\n \n Args:\n scheduled_scan_id: 定时扫描 ID\n \n Returns:\n 是否成功\n \"\"\"\n # 1. 增加执行次数并更新上次执行时间\n if not self.repo.increment_run_count(scheduled_scan_id):\n return False\n \n # 2. 计算并更新下次执行时间\n scheduled_scan = self.repo.get_by_id(scheduled_scan_id)\n if scheduled_scan and scheduled_scan.cron_expression:\n next_run_time = self._calculate_next_run_time(scheduled_scan)\n if next_run_time:\n self.repo.update_next_run_time(scheduled_scan_id, next_run_time)\n \n return True\n \n # ==================== 删除方法 ====================\n \n def delete(self, scheduled_scan_id: int) -> bool:\n \"\"\"\n 删除定时扫描任务\n \n Args:\n scheduled_scan_id: 定时扫描 ID\n \n Returns:\n 是否成功\n \"\"\"\n return self.repo.hard_delete(scheduled_scan_id)\n \n # ==================== 定时触发（APScheduler 调用）====================\n \n def trigger_due_scans(self) -> int:\n \"\"\"\n 检查并触发所有到期的定时扫描任务\n \n 由 APScheduler 每分钟调用一次，检查 next_run_time <= now 的任务\n \n Returns:\n 触发的任务数量\n \"\"\"\n from django.utils import timezone\n from croniter import croniter\n \n now = timezone.now()\n triggered_count = 0\n \n # 获取所有启用且到期的定时扫描\n due_scans = ScheduledScan.objects.filter(\n is_enabled=True,\n next_run_time__lte=now,\n )\n \n for scheduled_scan in due_scans:\n try:\n # 1. 先计算并更新下次执行时间（防止重复触发）\n # 这样即使触发过程耗时较长，下一次 APScheduler 调用也不会再次查询到这个任务\n cron = croniter(scheduled_scan.cron_expression, now)\n next_run = cron.get_next(datetime)\n self.repo.update_next_run_time(scheduled_scan.id, next_run)\n \n # 2. 触发扫描\n self._trigger_scan_now(scheduled_scan)\n \n # 3. 更新执行记录（run_count + 1, last_run_time = now）\n self.repo.increment_run_count(scheduled_scan.id)\n \n triggered_count += 1\n logger.info(\n \"定时扫描已触发 - ID: %s, 名称: %s, 下次执行: %s\",\n scheduled_scan.id, scheduled_scan.name, next_run\n )\n \n except Exception as e:\n logger.error(\n \"定时扫描触发失败 - ID: %s, Error: %s\",\n scheduled_scan.id, e\n )\n # 注意：即使触发失败，next_run_time 已更新，任务会在下次计划时间重试\n # 这是合理的行为：避免失败任务被无限重试\n \n return triggered_count\n \n # ==================== 内部方法 ====================\n \n def _trigger_scan_now(self, scheduled_scan: ScheduledScan) -> int:\n \"\"\"\n 立即触发扫描（支持组织扫描和目标扫描两种模式）\n \n 复用 ScanService 的逻辑，与 API 调用保持一致。\n 使用存储的 yaml_configuration 而不是重新合并。\n \"\"\"\n from apps.scan.services.scan_service import ScanService\n \n scan_service = ScanService()\n \n # 1. 准备扫描所需数据（使用存储的多引擎配置）\n targets, _, _, _ = scan_service.prepare_initiate_scan_multi_engine(\n organization_id=scheduled_scan.organization_id,\n target_id=scheduled_scan.target_id,\n engine_ids=scheduled_scan.engine_ids\n )\n \n # 2. 创建扫描任务，使用存储的合并配置\n created_scans = scan_service.create_scans(\n targets=targets,\n engine_ids=scheduled_scan.engine_ids,\n engine_names=scheduled_scan.engine_names,\n yaml_configuration=scheduled_scan.yaml_configuration,\n scheduled_scan_name=scheduled_scan.name\n )\n \n logger.info(\n \"定时扫描已触发 - ScheduledScan ID: %s, 创建扫描数: %d\",\n scheduled_scan.id, len(created_scans)\n )\n return len(created_scans)\n \n # ==================== 辅助方法 ====================\n \n def _calculate_next_run_time(self, scheduled_scan: ScheduledScan) -> Optional[datetime]:\n \"\"\"\n 计算下次执行时间\n \n Args:\n scheduled_scan: 定时扫描对象\n \n Returns:\n 下次执行时间，once 类型返回 None\n \"\"\"\n from croniter import croniter\n from django.utils import timezone\n \n cron_expr = scheduled_scan.cron_expression\n if not cron_expr:\n return None\n \n try:\n cron = croniter(cron_expr, timezone.now())\n return cron.get_next(datetime)\n except Exception as e:\n logger.error(\"计算下次执行时间失败: %s\", e)\n return None\n" }, { "path": "backend/apps/scan/services/subfinder_provider_config_service.py", "content": "\"\"\"Subfinder Provider 配置文件生成服务\n\n负责生成 subfinder 的 provider-config.yaml 配置文件\n\"\"\"\n\nimport logging\nimport os\nfrom pathlib import Path\nfrom typing import Optional\n\nimport yaml\n\nfrom ..models import SubfinderProviderSettings\n\nlogger = logging.getLogger(__name__)\n\n\nclass SubfinderProviderConfigService:\n \"\"\"Subfinder Provider 配置文件生成服务\"\"\"\n \n # Provider 格式定义\n PROVIDER_FORMATS = {\n 'fofa': {'type': 'composite', 'format': '{email}:{api_key}'},\n 'censys': {'type': 'composite', 'format': '{api_id}:{api_secret}'},\n 'hunter': {'type': 'single', 'field': 'api_key'},\n 'shodan': {'type': 'single', 'field': 'api_key'},\n 'zoomeye': {'type': 'single', 'field': 'api_key'},\n 'securitytrails': {'type': 'single', 'field': 'api_key'},\n 'threatbook': {'type': 'single', 'field': 'api_key'},\n 'quake': {'type': 'single', 'field': 'api_key'},\n }\n \n def generate(self, output_dir: str) -> Optional[str]:\n \"\"\"\n 生成 provider-config.yaml 文件\n \n Args:\n output_dir: 输出目录路径\n \n Returns:\n 生成的配置文件路径，如果没有启用的 provider 则返回 None\n \"\"\"\n settings = SubfinderProviderSettings.get_instance()\n \n config = {}\n has_enabled = False\n \n for provider, format_info in self.PROVIDER_FORMATS.items():\n provider_config = settings.providers.get(provider, {})\n \n if not provider_config.get('enabled'):\n config[provider] = []\n continue\n \n value = self._build_provider_value(provider, provider_config)\n if value:\n config[provider] = [value] # 单个 key 放入数组\n has_enabled = True\n logger.debug(f\"Provider {provider} 已启用\")\n else:\n config[provider] = []\n \n # 检查是否有任何启用的 provider\n if not has_enabled:\n logger.info(\"没有启用的 Provider，跳过配置文件生成\")\n return None\n \n # 确保输出目录存在\n output_path = Path(output_dir) / 'provider-config.yaml'\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n # 写入 YAML 文件（使用默认列表格式，和 subfinder 一致）\n with open(output_path, 'w', encoding='utf-8') as f:\n yaml.dump(config, f, default_flow_style=False, allow_unicode=True)\n \n # 设置文件权限为 600（仅所有者可读写）\n os.chmod(output_path, 0o600)\n \n logger.info(f\"Provider 配置文件已生成: {output_path}\")\n return str(output_path)\n \n def _build_provider_value(self, provider: str, config: dict) -> Optional[str]:\n \"\"\"根据 provider 格式规则构建配置值\n \n Args:\n provider: provider 名称\n config: provider 配置字典\n \n Returns:\n 构建的配置值字符串，如果配置不完整则返回 None\n \"\"\"\n format_info = self.PROVIDER_FORMATS.get(provider)\n if not format_info:\n return None\n \n if format_info['type'] == 'composite':\n # 复合格式：需要多个字段\n format_str = format_info['format']\n try:\n # 提取格式字符串中的字段名\n # 例如 '{email}:{api_key}' -> ['email', 'api_key']\n import re\n fields = re.findall(r'\\{(\\w+)\\}', format_str)\n \n # 检查所有字段是否都有值\n values = {}\n for field in fields:\n value = config.get(field, '').strip()\n if not value:\n logger.debug(f\"Provider {provider} 缺少字段 {field}\")\n return None\n values[field] = value\n \n return format_str.format(**values)\n except (KeyError, ValueError) as e:\n logger.warning(f\"构建 {provider} 配置值失败: {e}\")\n return None\n else:\n # 单字段格式\n field = format_info['field']\n value = config.get(field, '').strip()\n if not value:\n logger.debug(f\"Provider {provider} 缺少字段 {field}\")\n return None\n return value\n \n def cleanup(self, config_path: str) -> None:\n \"\"\"清理配置文件\n \n Args:\n config_path: 配置文件路径\n \"\"\"\n try:\n if config_path and Path(config_path).exists():\n Path(config_path).unlink()\n logger.debug(f\"已清理配置文件: {config_path}\")\n except Exception as e:\n logger.warning(f\"清理配置文件失败: {config_path} - {e}\")\n" }, { "path": "backend/apps/scan/services/target_export_service.py", "content": "\"\"\"\n目标导出服务\n\n提供统一的目标提取和文件导出功能，支持：\n- URL 导出（纯导出，不做隐式回退）\n- 默认 URL 生成（独立方法）\n- 带回退链的 URL 导出（用例层编排）\n- 域名/IP 导出（用于端口扫描）\n- 黑名单过滤集成\n\"\"\"\n\nimport ipaddress\nimport logging\nfrom pathlib import Path\nfrom typing import Dict, Any, Optional, List, Iterator, Tuple\n\nfrom django.db.models import QuerySet\n\nfrom apps.common.utils import BlacklistFilter\n\nlogger = logging.getLogger(__name__)\n\n\nclass DataSource:\n \"\"\"数据源类型常量\"\"\"\n ENDPOINT = \"endpoint\"\n WEBSITE = \"website\"\n HOST_PORT = \"host_port\"\n DEFAULT = \"default\"\n\n\ndef create_export_service(target_id: int) -> 'TargetExportService':\n \"\"\"\n 工厂函数：创建带黑名单过滤的导出服务\n \n Args:\n target_id: 目标 ID，用于加载黑名单规则\n \n Returns:\n TargetExportService: 配置好黑名单过滤器的导出服务实例\n \"\"\"\n from apps.common.services import BlacklistService\n \n rules = BlacklistService().get_rules(target_id)\n blacklist_filter = BlacklistFilter(rules)\n return TargetExportService(blacklist_filter=blacklist_filter)\n\n\ndef _iter_default_urls_from_target(\n target_id: int,\n blacklist_filter: Optional[BlacklistFilter] = None\n) -> Iterator[str]:\n \"\"\"\n 内部生成器：从 Target 本身生成默认 URL\n \n 根据 Target 类型生成 URL：\n - DOMAIN: http(s)://domain\n - IP: http(s)://ip\n - CIDR: 展开为所有 IP 的 http(s)://ip\n - URL: 直接使用目标 URL\n \n Args:\n target_id: 目标 ID\n blacklist_filter: 黑名单过滤器\n \n Yields:\n str: URL\n \"\"\"\n from apps.targets.services import TargetService\n from apps.targets.models import Target\n \n target_service = TargetService()\n target = target_service.get_target(target_id)\n \n if not target:\n logger.warning(\"Target ID %d 不存在，无法生成默认 URL\", target_id)\n return\n \n target_name = target.name\n target_type = target.type\n \n # 根据 Target 类型生成 URL\n if target_type == Target.TargetType.DOMAIN:\n urls = [f\"http://{target_name}\", f\"https://{target_name}\"]\n elif target_type == Target.TargetType.IP:\n urls = [f\"http://{target_name}\", f\"https://{target_name}\"]\n elif target_type == Target.TargetType.CIDR:\n try:\n network = ipaddress.ip_network(target_name, strict=False)\n urls = []\n for ip in network.hosts():\n urls.extend([f\"http://{ip}\", f\"https://{ip}\"])\n # /32 或 /128 特殊处理\n if not urls:\n ip = str(network.network_address)\n urls = [f\"http://{ip}\", f\"https://{ip}\"]\n except ValueError as e:\n logger.error(\"CIDR 解析失败: %s - %s\", target_name, e)\n return\n elif target_type == Target.TargetType.URL:\n urls = [target_name]\n else:\n logger.warning(\"不支持的 Target 类型: %s\", target_type)\n return\n \n # 过滤并产出\n for url in urls:\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n yield url\n\n\ndef _iter_urls_with_fallback(\n target_id: int,\n sources: List[str],\n blacklist_filter: Optional[BlacklistFilter] = None,\n batch_size: int = 1000,\n tried_sources: Optional[List[str]] = None\n) -> Iterator[Tuple[str, str]]:\n \"\"\"\n 内部生成器：流式产出 URL（带回退链）\n \n 按 sources 顺序尝试每个数据源，直到有数据返回。\n \n 回退逻辑：\n - 数据源有数据且通过过滤 → 产出 URL，停止回退\n - 数据源有数据但全被过滤 → 不回退，停止（避免意外暴露）\n - 数据源为空 → 继续尝试下一个\n \n Args:\n target_id: 目标 ID\n sources: 数据源优先级列表\n blacklist_filter: 黑名单过滤器\n batch_size: 批次大小\n tried_sources: 可选，用于记录尝试过的数据源（外部传入列表，会被修改）\n \n Yields:\n Tuple[str, str]: (url, source) - URL 和来源标识\n \"\"\"\n from apps.asset.models import Endpoint, WebSite\n \n for source in sources:\n if tried_sources is not None:\n tried_sources.append(source)\n \n has_output = False # 是否有输出（通过过滤的）\n has_raw_data = False # 是否有原始数据（过滤前）\n \n if source == DataSource.DEFAULT:\n # 默认 URL 生成（从 Target 本身构造，复用共用生成器）\n for url in _iter_default_urls_from_target(target_id, blacklist_filter):\n has_raw_data = True\n has_output = True\n yield url, source\n \n # 检查是否有原始数据（需要单独判断，因为生成器可能被过滤后为空）\n if not has_raw_data:\n # 再次检查 Target 是否存在\n from apps.targets.services import TargetService\n target = TargetService().get_target(target_id)\n has_raw_data = target is not None\n \n if has_raw_data:\n if not has_output:\n logger.info(\"%s 有数据但全被黑名单过滤，不回退\", source)\n return\n continue\n \n # 构建对应数据源的 queryset\n if source == DataSource.ENDPOINT:\n queryset = Endpoint.objects.filter(target_id=target_id).values_list('url', flat=True)\n elif source == DataSource.WEBSITE:\n queryset = WebSite.objects.filter(target_id=target_id).values_list('url', flat=True)\n else:\n logger.warning(\"未知的数据源类型: %s，跳过\", source)\n continue\n \n for url in queryset.iterator(chunk_size=batch_size):\n if url:\n has_raw_data = True\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n has_output = True\n yield url, source\n \n # 有原始数据就停止（不管是否被过滤）\n if has_raw_data:\n if not has_output:\n logger.info(\"%s 有数据但全被黑名单过滤，不回退\", source)\n return\n \n logger.info(\"%s 为空，尝试下一个数据源\", source)\n\n\ndef get_urls_with_fallback(\n target_id: int,\n sources: List[str],\n batch_size: int = 1000\n) -> Dict[str, Any]:\n \"\"\"\n 带回退链的 URL 获取用例函数（返回列表）\n \n 按 sources 顺序尝试每个数据源，直到有数据返回。\n \n Args:\n target_id: 目标 ID\n sources: 数据源优先级列表，如 [\"website\", \"endpoint\", \"default\"]\n batch_size: 批次大小\n \n Returns:\n dict: {\n 'success': bool,\n 'urls': List[str],\n 'total_count': int,\n 'source': str, # 实际使用的数据源\n 'tried_sources': List[str], # 尝试过的数据源\n }\n \"\"\"\n from apps.common.services import BlacklistService\n \n rules = BlacklistService().get_rules(target_id)\n blacklist_filter = BlacklistFilter(rules)\n \n urls = []\n actual_source = 'none'\n tried_sources = []\n \n for url, source in _iter_urls_with_fallback(target_id, sources, blacklist_filter, batch_size, tried_sources):\n urls.append(url)\n actual_source = source\n \n if urls:\n logger.info(\"从 %s 获取 %d 条 URL\", actual_source, len(urls))\n else:\n logger.warning(\"所有数据源都为空，无法获取 URL\")\n \n return {\n 'success': True,\n 'urls': urls,\n 'total_count': len(urls),\n 'source': actual_source,\n 'tried_sources': tried_sources,\n }\n\n\ndef export_urls_with_fallback(\n target_id: int,\n output_file: str,\n sources: List[str],\n batch_size: int = 1000\n) -> Dict[str, Any]:\n \"\"\"\n 带回退链的 URL 导出用例函数（写入文件）\n \n 按 sources 顺序尝试每个数据源，直到有数据返回。\n 流式写入，内存占用 O(1)。\n \n Args:\n target_id: 目标 ID\n output_file: 输出文件路径\n sources: 数据源优先级列表，如 [\"endpoint\", \"website\", \"default\"]\n batch_size: 批次大小\n \n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_count': int,\n 'source': str, # 实际使用的数据源\n 'tried_sources': List[str], # 尝试过的数据源\n }\n \"\"\"\n from apps.common.services import BlacklistService\n \n rules = BlacklistService().get_rules(target_id)\n blacklist_filter = BlacklistFilter(rules)\n \n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n total_count = 0\n actual_source = 'none'\n tried_sources = []\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for url, source in _iter_urls_with_fallback(target_id, sources, blacklist_filter, batch_size, tried_sources):\n f.write(f\"{url}\\n\")\n total_count += 1\n actual_source = source\n \n if total_count % 10000 == 0:\n logger.info(\"已导出 %d 个 URL...\", total_count)\n \n if total_count > 0:\n logger.info(\"从 %s 导出 %d 条 URL 到 %s\", actual_source, total_count, output_file)\n else:\n logger.warning(\"所有数据源都为空，无法导出 URL\")\n \n return {\n 'success': True,\n 'output_file': str(output_path),\n 'total_count': total_count,\n 'source': actual_source,\n 'tried_sources': tried_sources,\n }\n\n\nclass TargetExportService:\n \"\"\"\n 目标导出服务 - 提供统一的目标提取和文件导出功能\n \n 使用方式：\n # 方式 1：使用用例函数（推荐）\n from apps.scan.services.target_export_service import export_urls_with_fallback, DataSource\n \n result = export_urls_with_fallback(\n target_id=1,\n output_file='/path/to/output.txt',\n sources=[DataSource.ENDPOINT, DataSource.WEBSITE, DataSource.DEFAULT]\n )\n \n # 方式 2：直接使用 Service（纯导出，不带回退）\n export_service = create_export_service(target_id)\n result = export_service.export_urls(target_id, output_path, queryset)\n \"\"\"\n \n def __init__(self, blacklist_filter: Optional[BlacklistFilter] = None):\n \"\"\"\n 初始化导出服务\n \n Args:\n blacklist_filter: 黑名单过滤器，None 表示禁用过滤\n \"\"\"\n self.blacklist_filter = blacklist_filter\n \n def export_urls(\n self,\n target_id: int,\n output_path: str,\n queryset: QuerySet,\n url_field: str = 'url',\n batch_size: int = 1000\n ) -> Dict[str, Any]:\n \"\"\"\n 纯 URL 导出函数 - 只负责将 queryset 数据写入文件\n \n 不做任何隐式回退或默认 URL 生成。\n \n Args:\n target_id: 目标 ID\n output_path: 输出文件路径\n queryset: 数据源 queryset（由调用方构建，应为 values_list flat=True）\n url_field: URL 字段名（用于黑名单过滤）\n batch_size: 批次大小\n \n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_count': int, # 实际写入数量\n 'queryset_count': int, # 原始数据数量（迭代计数）\n 'filtered_count': int, # 被黑名单过滤的数量\n }\n \n Raises:\n IOError: 文件写入失败\n \"\"\"\n output_file = Path(output_path)\n output_file.parent.mkdir(parents=True, exist_ok=True)\n \n logger.info(\"开始导出 URL - target_id=%s, output=%s\", target_id, output_path)\n \n total_count = 0\n filtered_count = 0\n queryset_count = 0\n \n try:\n with open(output_file, 'w', encoding='utf-8', buffering=8192) as f:\n for url in queryset.iterator(chunk_size=batch_size):\n queryset_count += 1\n if url:\n # 黑名单过滤\n if self.blacklist_filter and not self.blacklist_filter.is_allowed(url):\n filtered_count += 1\n continue\n f.write(f\"{url}\\n\")\n total_count += 1\n \n if total_count % 10000 == 0:\n logger.info(\"已导出 %d 个 URL...\", total_count)\n except IOError as e:\n logger.error(\"文件写入失败: %s - %s\", output_path, e)\n raise\n \n if filtered_count > 0:\n logger.info(\"黑名单过滤: 过滤 %d 个 URL\", filtered_count)\n \n logger.info(\n \"✓ URL 导出完成 - 写入: %d, 原始: %d, 过滤: %d, 文件: %s\",\n total_count, queryset_count, filtered_count, output_path\n )\n \n return {\n 'success': True,\n 'output_file': str(output_file),\n 'total_count': total_count,\n 'queryset_count': queryset_count,\n 'filtered_count': filtered_count,\n }\n\n def generate_default_urls(\n self,\n target_id: int,\n output_path: str\n ) -> Dict[str, Any]:\n \"\"\"\n 默认 URL 生成器\n \n 根据 Target 类型生成默认 URL：\n - DOMAIN: http(s)://domain\n - IP: http(s)://ip\n - CIDR: 展开为所有 IP 的 http(s)://ip\n - URL: 直接使用目标 URL\n \n Args:\n target_id: 目标 ID\n output_path: 输出文件路径\n \n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_count': int,\n }\n \"\"\"\n output_file = Path(output_path)\n output_file.parent.mkdir(parents=True, exist_ok=True)\n \n logger.info(\"生成默认 URL - target_id=%d\", target_id)\n \n total_urls = 0\n \n with open(output_file, 'w', encoding='utf-8', buffering=8192) as f:\n for url in _iter_default_urls_from_target(target_id, self.blacklist_filter):\n f.write(f\"{url}\\n\")\n total_urls += 1\n \n if total_urls % 10000 == 0:\n logger.info(\"已生成 %d 个 URL...\", total_urls)\n \n logger.info(\"✓ 默认 URL 生成完成 - 数量: %d\", total_urls)\n \n return {\n 'success': True,\n 'output_file': str(output_file),\n 'total_count': total_urls,\n }\n\n def export_hosts(\n self,\n target_id: int,\n output_path: str,\n batch_size: int = 1000\n ) -> Dict[str, Any]:\n \"\"\"\n 主机列表导出函数（用于端口扫描）\n \n 根据 Target 类型选择导出逻辑：\n - DOMAIN: 从 Subdomain 表流式导出子域名\n - IP: 直接写入 IP 地址\n - CIDR: 展开为所有主机 IP\n \n Args:\n target_id: 目标 ID\n output_path: 输出文件路径\n batch_size: 批次大小\n \n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_count': int,\n 'target_type': str\n }\n \"\"\"\n from apps.targets.services import TargetService\n from apps.targets.models import Target\n\n output_file = Path(output_path)\n output_file.parent.mkdir(parents=True, exist_ok=True)\n \n # 获取 Target 信息\n target_service = TargetService()\n target = target_service.get_target(target_id)\n \n if not target:\n raise ValueError(f\"Target ID {target_id} 不存在\")\n \n target_type = target.type\n target_name = target.name\n \n logger.info(\n \"开始导出主机列表 - Target ID: %d, Name: %s, Type: %s, 输出文件: %s\",\n target_id, target_name, target_type, output_path\n )\n \n total_count = 0\n \n if target_type == Target.TargetType.DOMAIN:\n total_count = self._export_domains(target_id, target_name, output_file, batch_size)\n type_desc = \"域名\"\n \n elif target_type == Target.TargetType.IP:\n total_count = self._export_ip(target_name, output_file)\n type_desc = \"IP\"\n \n elif target_type == Target.TargetType.CIDR:\n total_count = self._export_cidr(target_name, output_file)\n type_desc = \"CIDR IP\"\n \n else:\n raise ValueError(f\"不支持的目标类型: {target_type}\")\n \n logger.info(\n \"✓ 主机列表导出完成 - 类型: %s, 总数: %d, 文件: %s\",\n type_desc, total_count, output_path\n )\n \n return {\n 'success': True,\n 'output_file': str(output_file),\n 'total_count': total_count,\n 'target_type': target_type\n }\n \n def _export_domains(\n self,\n target_id: int,\n target_name: str,\n output_path: Path,\n batch_size: int\n ) -> int:\n \"\"\"导出域名类型目标的根域名 + 子域名\"\"\"\n from apps.asset.services.asset.subdomain_service import SubdomainService\n \n subdomain_service = SubdomainService()\n domain_iterator = subdomain_service.iter_subdomain_names_by_target(\n target_id=target_id,\n chunk_size=batch_size\n )\n \n total_count = 0\n written_domains = set() # 去重（子域名表可能已包含根域名）\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n # 1. 先写入根域名\n if self._should_write_target(target_name):\n f.write(f\"{target_name}\\n\")\n written_domains.add(target_name)\n total_count += 1\n \n # 2. 再写入子域名（跳过已写入的根域名）\n for domain_name in domain_iterator:\n if domain_name in written_domains:\n continue\n if self._should_write_target(domain_name):\n f.write(f\"{domain_name}\\n\")\n written_domains.add(domain_name)\n total_count += 1\n \n if total_count % 10000 == 0:\n logger.info(\"已导出 %d 个域名...\", total_count)\n \n return total_count\n \n def _export_ip(self, target_name: str, output_path: Path) -> int:\n \"\"\"导出 IP 类型目标\"\"\"\n if self._should_write_target(target_name):\n with open(output_path, 'w', encoding='utf-8') as f:\n f.write(f\"{target_name}\\n\")\n return 1\n return 0\n \n def _export_cidr(self, target_name: str, output_path: Path) -> int:\n \"\"\"导出 CIDR 类型目标，展开为每个 IP\"\"\"\n network = ipaddress.ip_network(target_name, strict=False)\n total_count = 0\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for ip in network.hosts():\n ip_str = str(ip)\n if self._should_write_target(ip_str):\n f.write(f\"{ip_str}\\n\")\n total_count += 1\n \n if total_count % 10000 == 0:\n logger.info(\"已导出 %d 个 IP...\", total_count)\n \n # /32 或 /128 特殊处理\n if total_count == 0:\n ip_str = str(network.network_address)\n if self._should_write_target(ip_str):\n with open(output_path, 'w', encoding='utf-8') as f:\n f.write(f\"{ip_str}\\n\")\n total_count = 1\n \n return total_count\n \n def _should_write_target(self, target: str) -> bool:\n \"\"\"检查目标是否应该写入（通过黑名单过滤）\"\"\"\n if self.blacklist_filter:\n return self.blacklist_filter.is_allowed(target)\n return True\n" }, { "path": "backend/apps/scan/tasks/__init__.py", "content": "\"\"\"\n扫描任务模块\n\n包含：\n- Prefect Tasks: 具体操作的执行单元\n\n架构说明：\n- Flow（flows/）编排 Tasks（tasks/）\n- Tasks 负责具体操作，Flow 负责编排\n\"\"\"\n\n# 子域名发现任务（已重构为多个子任务）\nfrom .subdomain_discovery import (\n run_subdomain_discovery_task,\n merge_and_validate_task,\n save_domains_task,\n)\n\n# 指纹识别任务\nfrom .fingerprint_detect import (\n export_urls_for_fingerprint_task,\n run_xingfinger_and_stream_update_tech_task,\n)\n\n# 注意：\n# - subdomain_discovery_task 已重构为多个子任务（subdomain_discovery/）\n# - finalize_scan_task 已废弃（Handler 统一管理状态）\n# - initiate_scan_task 已迁移到 flows/initiate_scan_flow.py\n# - cleanup_old_scans_task 已迁移到 flows（cleanup_old_scans_flow）\n# - create_scan_workspace_task 已删除，直接使用 setup_scan_workspace()\n\n__all__ = [\n # 子域名发现任务\n 'run_subdomain_discovery_task',\n 'merge_and_validate_task',\n 'save_domains_task',\n # 指纹识别任务\n 'export_urls_for_fingerprint_task',\n 'run_xingfinger_and_stream_update_tech_task',\n]\n" }, { "path": "backend/apps/scan/tasks/directory_scan/__init__.py", "content": "\"\"\"\n目录扫描任务\n\n主要任务：\n- export_sites_task：导出站点列表到文件\n- run_and_stream_save_directories_task：流式运行目录扫描并实时保存结果\n\"\"\"\n\nfrom .export_sites_task import export_sites_task\nfrom .run_and_stream_save_directories_task import run_and_stream_save_directories_task\n\n__all__ = [\n 'export_sites_task',\n 'run_and_stream_save_directories_task',\n]\n" }, { "path": "backend/apps/scan/tasks/directory_scan/export_sites_task.py", "content": "\"\"\"\n导出站点 URL 到 TXT 文件的 Task\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库导出\n2. Provider 模式：使用 TargetProvider 从任意数据源导出\n\n数据源: WebSite.url → Default\n\"\"\"\nimport logging\nfrom typing import Optional\nfrom pathlib import Path\nfrom prefect import task\n\nfrom apps.scan.services.target_export_service import (\n export_urls_with_fallback,\n DataSource,\n)\nfrom apps.scan.providers import TargetProvider\n\nlogger = logging.getLogger(__name__)\n\n\n@task(name=\"export_sites\")\ndef export_sites_task(\n target_id: Optional[int] = None,\n output_file: str = \"\",\n provider: Optional[TargetProvider] = None,\n batch_size: int = 1000,\n) -> dict:\n \"\"\"\n 导出目标下的所有站点 URL 到 TXT 文件\n\n 支持两种模式：\n 1. 传统模式（向后兼容）：传入 target_id，从数据库导出\n 2. Provider 模式：传入 provider，从任意数据源导出\n\n 数据源优先级（回退链，仅传统模式）：\n 1. WebSite 表 - 站点级别 URL\n 2. 默认生成 - 根据 Target 类型生成 http(s)://target_name\n\n Args:\n target_id: 目标 ID（传统模式，向后兼容）\n output_file: 输出文件路径（绝对路径）\n provider: TargetProvider 实例（新模式）\n batch_size: 每次读取的批次大小，默认 1000\n\n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_count': int\n }\n\n Raises:\n ValueError: 参数错误\n IOError: 文件写入失败\n \"\"\"\n # 参数验证：至少提供一个\n if target_id is None and provider is None:\n raise ValueError(\"必须提供 target_id 或 provider 参数之一\")\n \n # Provider 模式：使用 TargetProvider 导出\n if provider is not None:\n logger.info(\"使用 Provider 模式 - Provider: %s\", type(provider).__name__)\n return _export_with_provider(output_file, provider)\n \n # 传统模式：使用 export_urls_with_fallback\n logger.info(\"使用传统模式 - Target ID: %d\", target_id)\n result = export_urls_with_fallback(\n target_id=target_id,\n output_file=output_file,\n sources=[DataSource.WEBSITE, DataSource.DEFAULT],\n batch_size=batch_size,\n )\n \n logger.info(\n \"站点 URL 导出完成 - source=%s, count=%d\",\n result['source'], result['total_count']\n )\n \n # 保持返回值格式不变（向后兼容）\n return {\n 'success': result['success'],\n 'output_file': result['output_file'],\n 'total_count': result['total_count'],\n }\n\n\ndef _export_with_provider(output_file: str, provider: TargetProvider) -> dict:\n \"\"\"使用 Provider 导出 URL\"\"\"\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n total_count = 0\n blacklist_filter = provider.get_blacklist_filter()\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for url in provider.iter_urls():\n # 应用黑名单过滤（如果有）\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n \n f.write(f\"{url}\\n\")\n total_count += 1\n \n if total_count % 1000 == 0:\n logger.info(\"已导出 %d 个 URL...\", total_count)\n \n logger.info(\"✓ URL 导出完成 - 总数: %d, 文件: %s\", total_count, str(output_path))\n \n return {\n 'success': True,\n 'output_file': str(output_path),\n 'total_count': total_count,\n }\n" }, { "path": "backend/apps/scan/tasks/directory_scan/run_and_stream_save_directories_task.py", "content": "\"\"\"\n基于 execute_stream 的流式目录扫描任务\n\n主要功能：\n 1. 实时执行目录扫描命令（如 ffuf）\n 2. 流式处理命令输出，实时解析为 Directory 记录\n 3. 批量保存到数据库\n 4. 避免生成大量临时文件，提高效率\n\n数据流向：\n 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库\n \n 输入：扫描命令及参数\n 输出：Directory 记录\n\n优化策略：\n - 使用 execute_stream 实时处理输出\n - 流式处理避免内存溢出\n - 批量操作减少数据库交互\n\"\"\"\n\nimport logging\nimport json\nimport subprocess\nimport time\nfrom pathlib import Path\nfrom prefect import task\nfrom typing import Generator, Optional, TYPE_CHECKING\nfrom django.db import IntegrityError, OperationalError, DatabaseError\nfrom psycopg2 import InterfaceError\nfrom dataclasses import dataclass\n\nfrom apps.asset.dtos.snapshot import DirectorySnapshotDTO\nfrom apps.scan.utils import execute_stream\n\n# 类型检查时导入，运行时不导入（避免循环依赖）\nif TYPE_CHECKING:\n from apps.asset.services.snapshot import DirectorySnapshotsService\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"\n Service 集合，用于依赖注入\n \n 提供目录扫描所需的 Service 实例，便于测试时注入 Mock 对象\n \"\"\"\n snapshot: \"DirectorySnapshotsService\"\n \n @classmethod\n def create_default(cls) -> \"ServiceSet\":\n \"\"\"创建默认的 Service 集合\"\"\"\n from apps.asset.services.snapshot import DirectorySnapshotsService\n return cls(\n snapshot=DirectorySnapshotsService()\n )\n\n\ndef _parse_and_validate_line(line: str) -> Optional[dict]:\n \"\"\"\n 解析并验证单行 JSON 数据\n \n Args:\n line: 单行输出数据\n \n Returns:\n Optional[dict]: 有效的 ffuf 扫描记录，或 None 如果验证失败\n \n 验证步骤：\n 1. 解析 JSON 格式\n 2. 验证数据类型为字典\n 3. 验证必要字段（url）\n \"\"\"\n try:\n # 步骤 1: 解析 JSON\n try:\n line_data = json.loads(line, strict=False)\n except json.JSONDecodeError:\n # logger.debug(\"跳过非 JSON 行: %s\", line)\n return None\n \n # 步骤 2: 验证数据类型\n if not isinstance(line_data, dict):\n logger.debug(\"跳过非字典数据\")\n return None\n \n # 步骤 3: 验证必要字段\n if not line_data.get('url'):\n logger.info(\"URL 为空，跳过 - 数据: %s\", str(line_data)[:200])\n return None\n \n # 返回有效记录\n return {\n 'url': line_data['url'],\n 'status': line_data.get('status'),\n 'length': line_data.get('length'),\n 'words': line_data.get('words'),\n 'lines': line_data.get('lines'),\n 'content_type': line_data.get('content-type', ''),\n 'duration': line_data.get('duration')\n }\n \n except Exception:\n logger.info(\"跳过无法解析的行: %s\", line[:100])\n return None\n\n\ndef _parse_ffuf_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> Generator[dict, None, None]:\n \"\"\"\n 流式解析 ffuf 目录扫描命令输出\n \n 基于 execute_stream 实时处理 ffuf 命令的 stdout，将每行 JSON 输出\n 转换为 Directory 记录格式\n \n Args:\n cmd: ffuf 目录扫描命令\n cwd: 工作目录\n shell: 是否使用 shell 执行\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n \n Yields:\n dict: 每次 yield 一条解析后的目录记录\n \"\"\"\n logger.info(\"开始流式解析 ffuf 目录扫描命令输出 - 命令: %s\", cmd)\n \n total_lines = 0\n error_lines = 0\n valid_records = 0\n \n try:\n # 使用 execute_stream 获取实时输出流（带工具名、超时控制和日志文件）\n for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file):\n total_lines += 1\n \n # 解析并验证单行数据\n record = _parse_and_validate_line(line)\n if record is None:\n error_lines += 1\n continue\n \n valid_records += 1\n # yield 一条有效记录\n yield record\n \n # 每处理 1000 条记录输出一次进度\n if valid_records % 1000 == 0:\n logger.info(\"已解析 %d 条有效记录...\", valid_records)\n \n except subprocess.TimeoutExpired as e:\n # 超时异常：简洁输出，不显示堆栈\n error_msg = f\"流式解析命令输出超时 - 命令执行超过 {timeout} 秒\"\n logger.warning(error_msg) # 超时是可预期的\n raise RuntimeError(error_msg) from e\n except Exception as e:\n # 其他异常：输出详细堆栈以便调试\n logger.error(\"流式解析命令输出失败: %s\", e, exc_info=True)\n raise\n \n logger.info(\n \"流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d\", \n total_lines, valid_records, error_lines\n )\n\n\ndef _save_batch_with_retry(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n max_retries: int = 3\n) -> dict:\n \"\"\"\n 保存一个批次的目录扫描结果（带重试机制）\n \n Args:\n batch: 数据批次\n scan_id: 扫描任务ID\n target_id: 目标ID\n batch_num: 批次编号\n services: Service 集合（必须，依赖注入）\n max_retries: 最大重试次数\n \n Returns:\n dict: {\n 'success': bool,\n 'created_directories': int\n }\n \"\"\"\n for attempt in range(max_retries):\n try:\n count = _save_batch(batch, scan_id, target_id, batch_num, services)\n return {\n 'success': True,\n 'created_directories': count\n }\n \n except IntegrityError as e:\n # 数据完整性错误，不应重试\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {\n 'success': False,\n 'created_directories': 0\n }\n \n except (OperationalError, DatabaseError, InterfaceError) as e:\n # 数据库连接/操作错误，可重试\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt # 指数退避: 1s, 2s, 4s\n logger.warning(\n \"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\",\n batch_num, attempt + 1, wait_time, str(e)[:100]\n )\n time.sleep(wait_time)\n else:\n logger.error(\"批次 %d 保存失败（已重试 %d 次）: %s\", batch_num, max_retries, e)\n return {\n 'success': False,\n 'created_directories': 0\n }\n \n except Exception as e:\n # 其他未知错误 - 检查是否为连接问题\n error_str = str(e).lower()\n if 'connection' in error_str and attempt < max_retries - 1:\n logger.warning(\n \"批次 %d 连接相关错误（尝试 %d/%d）: %s，Repository 装饰器会自动重连\",\n batch_num, attempt + 1, max_retries, str(e)\n )\n time.sleep(2)\n else:\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n return {\n 'success': False,\n 'created_directories': 0\n }\n \n return {\n 'success': False,\n 'created_directories': 0\n }\n\n\ndef _save_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet\n) -> int:\n \"\"\"\n 保存一个批次的数据到数据库（使用快照 Service）\n \n 数据关系链：\n Target → DirectorySnapshot (待创建) → Directory (自动同步)\n \n 处理流程：\n 1. 构建 DirectorySnapshotDTO：包含 scan_id 和 target_id\n 2. 调用快照 Service：save_and_sync() 自动保存快照并同步到资产表\n \n Args:\n batch: 数据批次，list of dict\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n batch_num: 批次编号（用于日志）\n services: Service 集合（依赖注入）\n \n Returns:\n int: 创建的记录数\n \"\"\"\n if not batch:\n logger.debug(\"批次 %d 为空，跳过处理\", batch_num)\n return 0\n \n # ========== Step 1: 准备 DirectorySnapshot 数据（内存操作，无需事务）==========\n # 使用列表推导式构建 DTO 列表\n snapshot_items = [\n DirectorySnapshotDTO(\n scan_id=scan_id,\n target_id=target_id,\n url=record['url'],\n status=record.get('status'),\n content_length=record.get('length'),\n words=record.get('words'),\n lines=record.get('lines'),\n content_type=record.get('content_type', ''),\n duration=record.get('duration')\n )\n for record in batch\n ]\n \n # ========== Step 2: 保存快照并同步到资产表（通过快照 Service）==========\n if snapshot_items:\n services.snapshot.save_and_sync(snapshot_items)\n \n return len(snapshot_items)\n\n\n@task(\n name='run_and_stream_save_directories',\n retries=0,\n log_prints=True\n)\ndef run_and_stream_save_directories_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n site_url: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n batch_size: int = 1000,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> dict:\n \"\"\"\n 执行 ffuf 目录扫描命令并流式保存结果到数据库\n \n 该任务将：\n 1. 通过 site_url 查找对应的 WebSite 对象\n 2. 流式解析 ffuf 输出（JSON 格式）\n 3. 批量保存到 Directory 表\n \n Args:\n cmd: ffuf 目录扫描命令\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n site_url: 当前站点 URL\n cwd: 工作目录（可选）\n shell: 是否使用 shell 执行（默认 False）\n batch_size: 批量保存大小（默认1000）\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n \n Returns:\n dict: {\n 'processed_records': int, # 处理的记录总数\n 'created_directories': int, # 创建的目录记录数\n 'site_url': str # 当前站点 URL\n }\n \n Raises:\n ValueError: 参数验证失败\n RuntimeError: 命令执行或数据库操作失败\n subprocess.TimeoutExpired: 命令执行超时\n \"\"\"\n logger.info(\n \"开始执行流式目录扫描任务 - site_url=%s, 超时=%s秒\", \n site_url, timeout if timeout else '无限制'\n )\n \n data_generator = None\n \n try:\n # 1. 初始化服务\n services = ServiceSet.create_default()\n \n # 2. 初始化资源（不再需要查找 WebSite，Directory 直接关联 Target）\n data_generator = _parse_ffuf_stream_output(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file)\n \n # 3. 流式处理记录并分批保存\n total_records = 0\n batch_num = 0\n failed_batches = []\n batch = []\n total_created = 0\n \n for record in data_generator:\n batch.append(record)\n total_records += 1\n \n # 达到批次大小，执行保存\n if len(batch) >= batch_size:\n batch_num += 1\n result = _save_batch_with_retry(\n batch, scan_id, target_id, batch_num, services\n )\n \n total_created += result.get('created_directories', 0)\n \n if not result['success']:\n failed_batches.append(batch_num)\n \n batch = [] # 清空批次\n \n # 每20个批次输出进度\n if batch_num % 20 == 0:\n logger.info(\n \"进度: 已处理 %d 批次，%d 条记录\", \n batch_num, total_records\n )\n \n # 保存最后一批\n if batch:\n batch_num += 1\n result = _save_batch_with_retry(\n batch, scan_id, target_id, batch_num, services\n )\n total_created += result.get('created_directories', 0)\n \n if not result['success']:\n failed_batches.append(batch_num)\n \n # 检查失败批次\n if failed_batches:\n logger.warning(\n \"部分批次保存失败 - 站点: %s, 失败批次: %s\",\n site_url, failed_batches\n )\n \n logger.info(\n \"✓ 流式保存完成 - 站点: %s, 处理记录: %d（%d 批次），创建目录: %d\",\n site_url, total_records, batch_num, total_created\n )\n \n return {\n 'processed_records': total_records,\n 'created_directories': total_created,\n 'site_url': site_url\n }\n \n except subprocess.TimeoutExpired:\n # 超时异常直接向上传播，保留异常类型\n logger.warning(\n \"⚠️ 目录扫描任务超时 - site_url=%s, 超时=%s秒\",\n site_url, timeout\n )\n raise\n \n except Exception as e:\n error_msg = f\"流式执行目录扫描任务失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n \n finally:\n # 清理资源\n if data_generator is not None:\n try:\n data_generator.close()\n logger.debug(\"已关闭数据生成器\")\n except Exception as gen_close_error:\n logger.error(\"关闭生成器时出错: %s\", gen_close_error)\n" }, { "path": "backend/apps/scan/tasks/fingerprint_detect/__init__.py", "content": "\"\"\"\n指纹识别任务模块\n\n包含：\n- export_urls_for_fingerprint_task: 导出 URL 到文件\n- run_xingfinger_and_stream_update_tech_task: 流式执行 xingfinger 并更新 tech\n\"\"\"\n\nfrom .export_urls_task import export_urls_for_fingerprint_task\nfrom .run_xingfinger_task import run_xingfinger_and_stream_update_tech_task\n\n__all__ = [\n 'export_urls_for_fingerprint_task',\n 'run_xingfinger_and_stream_update_tech_task',\n]\n" }, { "path": "backend/apps/scan/tasks/fingerprint_detect/export_urls_task.py", "content": "\"\"\"\n导出 URL 任务\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库导出\n2. Provider 模式：使用 TargetProvider 从任意数据源导出\n\n用于指纹识别前导出目标下的 URL 到文件\n\"\"\"\n\nimport logging\nfrom typing import Optional\nfrom pathlib import Path\n\nfrom prefect import task\n\nfrom apps.scan.services.target_export_service import (\n export_urls_with_fallback,\n DataSource,\n)\nfrom apps.scan.providers import TargetProvider, DatabaseTargetProvider\n\nlogger = logging.getLogger(__name__)\n\n\n@task(name=\"export_urls_for_fingerprint\")\ndef export_urls_for_fingerprint_task(\n target_id: Optional[int] = None,\n output_file: str = \"\",\n source: str = 'website', # 保留参数，兼容旧调用（实际值由回退链决定）\n provider: Optional[TargetProvider] = None,\n batch_size: int = 1000\n) -> dict:\n \"\"\"\n 导出目标下的 URL 到文件（用于指纹识别）\n \n 支持两种模式：\n 1. 传统模式（向后兼容）：传入 target_id，从数据库导出\n 2. Provider 模式：传入 provider，从任意数据源导出\n \n 数据源优先级（回退链，仅传统模式）：\n 1. WebSite 表 - 站点级别 URL\n 2. 默认生成 - 根据 Target 类型生成 http(s)://target_name\n \n Args:\n target_id: 目标 ID（传统模式，向后兼容）\n output_file: 输出文件路径\n source: 数据源类型（保留参数，兼容旧调用，实际值由回退链决定）\n provider: TargetProvider 实例（新模式）\n batch_size: 批量读取大小\n \n Returns:\n dict: {'output_file': str, 'total_count': int, 'source': str}\n \"\"\"\n # 参数验证：至少提供一个\n if target_id is None and provider is None:\n raise ValueError(\"必须提供 target_id 或 provider 参数之一\")\n \n # Provider 模式：使用 TargetProvider 导出\n if provider is not None:\n logger.info(\"使用 Provider 模式 - Provider: %s\", type(provider).__name__)\n return _export_with_provider(output_file, provider)\n \n # 传统模式：使用 export_urls_with_fallback\n logger.info(\"使用传统模式 - Target ID: %d\", target_id)\n result = export_urls_with_fallback(\n target_id=target_id,\n output_file=output_file,\n sources=[DataSource.WEBSITE, DataSource.DEFAULT],\n batch_size=batch_size,\n )\n \n logger.info(\n \"指纹识别 URL 导出完成 - source=%s, count=%d\",\n result['source'], result['total_count']\n )\n \n # 返回实际使用的数据源（不再固定为 \"website\"）\n return {\n 'output_file': result['output_file'],\n 'total_count': result['total_count'],\n 'source': result['source'],\n }\n\n\ndef _export_with_provider(output_file: str, provider: TargetProvider) -> dict:\n \"\"\"使用 Provider 导出 URL\"\"\"\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n total_count = 0\n blacklist_filter = provider.get_blacklist_filter()\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for url in provider.iter_urls():\n # 应用黑名单过滤（如果有）\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n \n f.write(f\"{url}\\n\")\n total_count += 1\n \n if total_count % 1000 == 0:\n logger.info(\"已导出 %d 个 URL...\", total_count)\n \n logger.info(\"✓ URL 导出完成 - 总数: %d, 文件: %s\", total_count, str(output_path))\n \n return {\n 'output_file': str(output_path),\n 'total_count': total_count,\n 'source': 'provider',\n }\n" }, { "path": "backend/apps/scan/tasks/fingerprint_detect/run_xingfinger_task.py", "content": "\"\"\"\nxingfinger 执行任务\n\n流式执行 xingfinger 命令并实时更新 tech 字段\n\"\"\"\n\nimport json\nimport logging\nimport subprocess\nfrom typing import Optional, Generator\nfrom urllib.parse import urlparse\n\nfrom django.db import connection\nfrom prefect import task\n\nfrom apps.scan.utils import execute_stream\nfrom apps.asset.dtos.snapshot import WebsiteSnapshotDTO\nfrom apps.asset.repositories.snapshot import DjangoWebsiteSnapshotRepository\n\nlogger = logging.getLogger(__name__)\n\n\ndef parse_xingfinger_line(line: str) -> dict | None:\n \"\"\"\n 解析 xingfinger 单行 JSON 输出\n \n xingfinger 输出格式：\n {\"url\": \"...\", \"cms\": \"...\", \"server\": \"BWS/1.1\", \"status_code\": 200, \"length\": 642831, \"title\": \"...\"}\n \n Returns:\n dict: 包含 url, techs, server, title, status_code, content_length 的字典\n None: 解析失败或 URL 为空时\n \"\"\"\n try:\n item = json.loads(line)\n url = item.get('url', '').strip()\n \n if not url:\n return None\n \n # cms 字段按逗号分割，去除空白\n cms = item.get('cms', '')\n techs = [t.strip() for t in cms.split(',') if t.strip()] if cms else []\n \n return {\n 'url': url,\n 'techs': techs,\n 'server': item.get('server', ''),\n 'title': item.get('title', ''),\n 'status_code': item.get('status_code'),\n 'content_length': item.get('length'),\n }\n \n except json.JSONDecodeError:\n return None\n\n\ndef bulk_merge_website_fields(\n records: list[dict],\n target_id: int\n) -> dict:\n \"\"\"\n 批量合并更新 WebSite 字段（PostgreSQL 原生 SQL）\n \n 合并策略：\n - tech：数组合并去重\n - title, webserver, status_code, content_length：只在原值为空/NULL 时更新\n \n 如果 URL 对应的记录不存在，会自动创建新记录。\n \n Args:\n records: 解析后的记录列表，每个包含 {url, techs, server, title, status_code, content_length}\n target_id: 目标 ID\n \n Returns:\n dict: {'updated_count': int, 'created_count': int}\n \"\"\"\n from apps.asset.models import WebSite\n table_name = WebSite._meta.db_table\n \n updated_count = 0\n created_count = 0\n \n with connection.cursor() as cursor:\n for record in records:\n url = record['url']\n techs = record.get('techs', [])\n server = record.get('server', '') or ''\n title = record.get('title', '') or ''\n status_code = record.get('status_code')\n content_length = record.get('content_length')\n \n # 先尝试更新（合并策略）\n update_sql = f\"\"\"\n UPDATE {table_name}\n SET \n tech = (SELECT ARRAY(SELECT DISTINCT unnest(\n COALESCE(tech, ARRAY[]::varchar[]) || %s::varchar[]\n ))),\n title = CASE WHEN title = '' OR title IS NULL THEN %s ELSE title END,\n webserver = CASE WHEN webserver = '' OR webserver IS NULL THEN %s ELSE webserver END,\n status_code = CASE WHEN status_code IS NULL THEN %s ELSE status_code END,\n content_length = CASE WHEN content_length IS NULL THEN %s ELSE content_length END\n WHERE url = %s AND target_id = %s\n \"\"\"\n \n cursor.execute(update_sql, [techs, title, server, status_code, content_length, url, target_id])\n \n if cursor.rowcount > 0:\n updated_count += cursor.rowcount\n else:\n # 记录不存在，创建新记录\n try:\n # 从 URL 提取 host\n parsed = urlparse(url)\n host = parsed.hostname or ''\n \n # 插入新记录（带冲突处理）\n insert_sql = f\"\"\"\n INSERT INTO {table_name} (\n target_id, url, host, location, title, webserver, \n response_body, content_type, tech, status_code, content_length,\n response_headers, created_at\n )\n VALUES (%s, %s, %s, '', %s, %s, '', '', %s::varchar[], %s, %s, '', NOW())\n ON CONFLICT (target_id, url) DO UPDATE SET\n tech = (SELECT ARRAY(SELECT DISTINCT unnest(\n COALESCE({table_name}.tech, ARRAY[]::varchar[]) || EXCLUDED.tech\n ))),\n title = CASE WHEN {table_name}.title = '' OR {table_name}.title IS NULL THEN EXCLUDED.title ELSE {table_name}.title END,\n webserver = CASE WHEN {table_name}.webserver = '' OR {table_name}.webserver IS NULL THEN EXCLUDED.webserver ELSE {table_name}.webserver END,\n status_code = CASE WHEN {table_name}.status_code IS NULL THEN EXCLUDED.status_code ELSE {table_name}.status_code END,\n content_length = CASE WHEN {table_name}.content_length IS NULL THEN EXCLUDED.content_length ELSE {table_name}.content_length END\n \"\"\"\n cursor.execute(insert_sql, [target_id, url, host, title, server, techs, status_code, content_length])\n created_count += 1\n \n except Exception as e:\n logger.warning(\"创建 WebSite 记录失败 (url=%s): %s\", url, e)\n \n return {\n 'updated_count': updated_count,\n 'created_count': created_count\n }\n\n\ndef _parse_xingfinger_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> Generator[dict, None, None]:\n \"\"\"\n 流式解析 xingfinger 命令输出\n \n 基于 execute_stream 实时处理 xingfinger 命令的 stdout，将每行 JSON 输出\n 转换为完整字段字典\n \"\"\"\n logger.info(\"开始流式解析 xingfinger 命令输出 - 命令: %s\", cmd)\n \n total_lines = 0\n valid_records = 0\n \n try:\n for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=True, timeout=timeout, log_file=log_file):\n total_lines += 1\n \n # 解析单行 JSON\n result = parse_xingfinger_line(line)\n if result is None:\n continue\n \n valid_records += 1\n yield result\n \n # 每处理 500 条记录输出一次进度\n if valid_records % 500 == 0:\n logger.info(\"已解析 %d 条有效记录...\", valid_records)\n \n except subprocess.TimeoutExpired as e:\n error_msg = f\"xingfinger 命令执行超时 - 超过 {timeout} 秒\"\n logger.warning(error_msg)\n raise RuntimeError(error_msg) from e\n except Exception as e:\n logger.error(\"流式解析 xingfinger 输出失败: %s\", e, exc_info=True)\n raise\n \n logger.info(\"流式解析完成 - 总行数: %d, 有效记录: %d\", total_lines, valid_records)\n\n\n@task(name=\"run_xingfinger_and_stream_update_tech\")\ndef run_xingfinger_and_stream_update_tech_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n source: str,\n cwd: str,\n timeout: int,\n log_file: str,\n batch_size: int = 100\n) -> dict:\n \"\"\"\n 流式执行 xingfinger 命令，保存快照并合并更新资产表\n \n 处理流程：\n 1. 流式执行 xingfinger 命令\n 2. 实时解析 JSON 输出（完整字段）\n 3. 累积到 batch_size 条后批量处理：\n - 保存快照（WebsiteSnapshot）\n - 合并更新资产表（WebSite）\n \n 合并策略：\n - tech：数组合并去重\n - title, webserver, status_code, content_length：只在原值为空时更新\n \n Returns:\n dict: {\n 'processed_records': int,\n 'updated_count': int,\n 'created_count': int,\n 'snapshot_count': int,\n 'batch_count': int\n }\n \"\"\"\n logger.info(\n \"开始执行 xingfinger - scan_id=%s, target_id=%s, timeout=%s秒\",\n scan_id, target_id, timeout\n )\n \n data_generator = None\n snapshot_repo = DjangoWebsiteSnapshotRepository()\n \n try:\n # 初始化统计\n processed_records = 0\n updated_count = 0\n created_count = 0\n snapshot_count = 0\n batch_count = 0\n \n # 当前批次的记录列表\n batch_records = []\n \n # 流式处理\n data_generator = _parse_xingfinger_stream_output(\n cmd=cmd,\n tool_name=tool_name,\n cwd=cwd,\n timeout=timeout,\n log_file=log_file\n )\n \n for record in data_generator:\n processed_records += 1\n batch_records.append(record)\n \n # 达到批次大小，执行批量处理\n if len(batch_records) >= batch_size:\n batch_count += 1\n result = _process_batch(\n batch_records, scan_id, target_id, batch_count, snapshot_repo\n )\n updated_count += result['updated_count']\n created_count += result['created_count']\n snapshot_count += result['snapshot_count']\n \n # 清空批次\n batch_records = []\n \n # 处理最后一批\n if batch_records:\n batch_count += 1\n result = _process_batch(\n batch_records, scan_id, target_id, batch_count, snapshot_repo\n )\n updated_count += result['updated_count']\n created_count += result['created_count']\n snapshot_count += result['snapshot_count']\n \n logger.info(\n \"✓ xingfinger 执行完成 - 处理: %d, 更新: %d, 创建: %d, 快照: %d, 批次: %d\",\n processed_records, updated_count, created_count, snapshot_count, batch_count\n )\n \n return {\n 'processed_records': processed_records,\n 'updated_count': updated_count,\n 'created_count': created_count,\n 'snapshot_count': snapshot_count,\n 'batch_count': batch_count\n }\n \n except subprocess.TimeoutExpired:\n logger.warning(\"⚠️ xingfinger 执行超时 - target_id=%s, timeout=%s秒\", target_id, timeout)\n raise\n except Exception as e:\n error_msg = f\"xingfinger 执行失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n finally:\n # 清理资源\n if data_generator is not None:\n try:\n data_generator.close()\n except Exception as e:\n logger.debug(\"关闭生成器时出错: %s\", e)\n\n\ndef _process_batch(\n records: list[dict],\n scan_id: int,\n target_id: int,\n batch_num: int,\n snapshot_repo: DjangoWebsiteSnapshotRepository\n) -> dict:\n \"\"\"\n 处理一个批次的数据：保存快照 + 合并更新资产表\n \n Args:\n records: 解析后的记录列表\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n batch_num: 批次编号\n snapshot_repo: 快照仓库\n \n Returns:\n dict: {'updated_count': int, 'created_count': int, 'snapshot_count': int}\n \"\"\"\n # 1. 构建快照 DTO 列表\n snapshot_dtos = []\n for record in records:\n # 从 URL 提取 host\n parsed = urlparse(record['url'])\n host = parsed.hostname or ''\n \n dto = WebsiteSnapshotDTO(\n scan_id=scan_id,\n target_id=target_id,\n url=record['url'],\n host=host,\n title=record.get('title', '') or '',\n status_code=record.get('status_code'),\n content_length=record.get('content_length'),\n webserver=record.get('server', '') or '',\n tech=record.get('techs', []),\n )\n snapshot_dtos.append(dto)\n \n # 2. 保存快照\n snapshot_count = 0\n if snapshot_dtos:\n try:\n snapshot_repo.save_snapshots(snapshot_dtos)\n snapshot_count = len(snapshot_dtos)\n except Exception as e:\n logger.warning(\"批次 %d 保存快照失败: %s\", batch_num, e)\n \n # 3. 合并更新资产表\n merge_result = bulk_merge_website_fields(records, target_id)\n \n logger.debug(\n \"批次 %d 完成 - 更新: %d, 创建: %d, 快照: %d\",\n batch_num, merge_result['updated_count'], merge_result['created_count'], snapshot_count\n )\n \n return {\n 'updated_count': merge_result['updated_count'],\n 'created_count': merge_result['created_count'],\n 'snapshot_count': snapshot_count\n }\n" }, { "path": "backend/apps/scan/tasks/port_scan/__init__.py", "content": "\"\"\"\n端口扫描相关 Tasks\n\n提供端口扫描流程所需的原子化任务\n\"\"\"\n\nfrom .export_hosts_task import export_hosts_task\nfrom .run_and_stream_save_ports_task import run_and_stream_save_ports_task\nfrom .types import PortScanRecord\n\n__all__ = [\n 'export_hosts_task',\n 'run_and_stream_save_ports_task',\n 'PortScanRecord',\n]" }, { "path": "backend/apps/scan/tasks/port_scan/export_hosts_task.py", "content": "\"\"\"\n导出主机列表到 TXT 文件的 Task\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库导出\n2. Provider 模式：使用 TargetProvider 从任意数据源导出\n\n根据 Target 类型决定导出内容：\n- DOMAIN: 从 Subdomain 表导出子域名\n- IP: 直接写入 target.name\n- CIDR: 展开 CIDR 范围内的所有 IP\n\"\"\"\nimport logging\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom prefect import task\n\nfrom apps.scan.providers import DatabaseTargetProvider, TargetProvider\n\nlogger = logging.getLogger(__name__)\n\n\n@task(name=\"export_hosts\")\ndef export_hosts_task(\n output_file: str,\n target_id: Optional[int] = None,\n provider: Optional[TargetProvider] = None,\n) -> dict:\n \"\"\"\n 导出主机列表到 TXT 文件\n\n 支持两种模式：\n 1. 传统模式（向后兼容）：传入 target_id，从数据库导出\n 2. Provider 模式：传入 provider，从任意数据源导出\n\n 根据 Target 类型自动决定导出内容：\n - DOMAIN: 从 Subdomain 表导出子域名（流式处理，支持 10万+ 域名）\n - IP: 直接写入 target.name（单个 IP）\n - CIDR: 展开 CIDR 范围内的所有可用 IP\n\n Args:\n output_file: 输出文件路径（绝对路径）\n target_id: 目标 ID（传统模式，向后兼容）\n provider: TargetProvider 实例（新模式）\n\n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_count': int,\n 'target_type': str # 仅传统模式返回\n }\n\n Raises:\n ValueError: 参数错误（target_id 和 provider 都未提供）\n IOError: 文件写入失败\n \"\"\"\n if target_id is None and provider is None:\n raise ValueError(\"必须提供 target_id 或 provider 参数之一\")\n\n # 向后兼容：如果没有提供 provider，使用 target_id 创建 DatabaseTargetProvider\n use_legacy_mode = provider is None\n if use_legacy_mode:\n logger.info(\"使用传统模式 - Target ID: %d\", target_id)\n provider = DatabaseTargetProvider(target_id=target_id)\n else:\n logger.info(\"使用 Provider 模式 - Provider: %s\", type(provider).__name__)\n\n # 确保输出目录存在\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n\n # 使用 Provider 导出主机列表（iter_hosts 内部已处理黑名单过滤）\n total_count = 0\n\n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for host in provider.iter_hosts():\n f.write(f\"{host}\\n\")\n total_count += 1\n\n if total_count % 1000 == 0:\n logger.info(\"已导出 %d 个主机...\", total_count)\n\n logger.info(\"✓ 主机列表导出完成 - 总数: %d, 文件: %s\", total_count, str(output_path))\n\n result = {\n 'success': True,\n 'output_file': str(output_path),\n 'total_count': total_count,\n }\n\n # 传统模式：保持返回值格式不变（向后兼容）\n if use_legacy_mode:\n from apps.targets.services import TargetService\n target = TargetService().get_target(target_id)\n result['target_type'] = target.type if target else 'unknown'\n\n return result\n" }, { "path": "backend/apps/scan/tasks/port_scan/run_and_stream_save_ports_task.py", "content": "\"\"\"\n基于 stream_command 的流式端口扫描任务（简化版）\n\n主要功能：\n 1. 实时执行端口扫描命令（如 naabu）\n 2. 流式处理命令输出，实时解析为 PortScanRecord\n 3. 批量保存到数据库（HostPortAssociation + HostPortAssociationSnapshot）\n 4. 避免生成大量临时文件，提高效率\n\n数据流向：\n 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库\n \n 输入：扫描命令及参数\n 输出：HostPortAssociation（资产表）+ HostPortAssociationSnapshot（快照表）\n\n优化策略：\n - 使用 stream_command 实时处理输出\n - 直接存储 host + ip + port 组合，不维护复杂关系\n - 流式处理避免内存溢出\n - 批量操作减少数据库交互\n\"\"\"\n\nimport logging\nimport json\nimport subprocess\nimport time\nfrom asyncio import CancelledError\nfrom pathlib import Path\nfrom prefect import task\nfrom typing import Generator, List, Optional, TYPE_CHECKING\nfrom django.db import IntegrityError, OperationalError, DatabaseError\nfrom psycopg2 import InterfaceError\nfrom dataclasses import dataclass\n\nfrom .types import PortScanRecord\nfrom apps.scan.utils import execute_stream\nfrom apps.common.validators import validate_port\nfrom apps.common.definitions import ScanStatus\nfrom apps.scan.models import Scan\n\n# 类型检查时导入，运行时不导入（避免循环依赖）\nif TYPE_CHECKING:\n from apps.asset.services.snapshot import HostPortMappingSnapshotsService\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"\n Service 集合，用于依赖注入\n \n 提供所有需要的 Service 实例，便于测试时注入 Mock 对象\n \"\"\"\n snapshot: \"HostPortMappingSnapshotsService\"\n \n @classmethod\n def create_default(cls) -> \"ServiceSet\":\n \"\"\"创建默认的 Service 集合\"\"\"\n from apps.asset.services.snapshot import HostPortMappingSnapshotsService\n return cls(\n snapshot=HostPortMappingSnapshotsService()\n )\n\n\ndef _save_batch_with_retry(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n max_retries: int = 3\n) -> dict:\n \"\"\"\n 保存一个批次的端口扫描结果（带重试机制）\n \n Args:\n batch: 数据批次\n scan_id: 扫描任务ID\n target_id: 目标ID\n batch_num: 批次编号\n services: Service 集合（必须，包含 HostPortAssociationSnapshotsService）\n max_retries: 最大重试次数\n \n Returns:\n dict: {'success': bool}\n \"\"\"\n for attempt in range(max_retries):\n try:\n result = _save_batch(batch, scan_id, target_id, batch_num, services)\n return result # {'success': True}\n \n except IntegrityError as e:\n # 数据完整性错误，不应重试（IntegrityError 是 DatabaseError 的子类，需先处理）\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {'success': False}\n \n except (OperationalError, DatabaseError) as e:\n # 数据库连接/操作错误，可重试\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt # 指数退避: 1s, 2s, 4s\n logger.warning(\n \"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\",\n batch_num, attempt + 1, wait_time, str(e)[:100]\n )\n time.sleep(wait_time)\n else:\n logger.error(\"批次 %d 保存失败（已重试 %d 次）: %s\", batch_num, max_retries, e)\n return {'success': False}\n \n except Exception as e:\n # 其他未知错误\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n return {'success': False}\n \n return {'success': False}\n\n\ndef _save_batch(\n batch: list, \n scan_id: int, \n target_id: int, \n batch_num: int, \n services: ServiceSet # Service集合（依赖注入）\n) -> dict:\n \"\"\"\n 保存一个批次的端口扫描数据到数据库（使用 Service 架构）\n \n 数据存储：\n 使用 HostPortAssociationSnapshotsService.save_and_sync()\n 自动保存到快照表并同步到资产表\n \n 处理流程：\n 1. 构建 HostPortAssociationSnapshotDTO 列表\n 2. 调用 service.save_and_sync() 统一处理\n - 保存到快照表（scan_id）\n - 同步到资产表（target_id）\n \n Args:\n batch: 数据批次，list of {'host', 'ip', 'port'}\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n batch_num: 批次编号（用于日志）\n services: Service 集合（包含 HostPortAssociationSnapshotsService）\n \n Returns:\n dict: {'success': bool}\n \n Raises:\n TypeError: batch 参数类型错误\n IntegrityError: 数据完整性错误\n OperationalError: 数据库操作错误\n DatabaseError: 其他数据库错误\n \n Note:\n 此函数不包含重试逻辑，由外层 _save_batch_with_retry 负责重试\n \n Strategy:\n 使用 bulk_create + ignore_conflicts\n - 新记录：插入\n - 重复记录：忽略（不更新）\n \"\"\"\n from apps.asset.dtos.snapshot import HostPortMappingSnapshotDTO\n \n # 参数验证\n if not isinstance(batch, list):\n raise TypeError(f\"batch 必须是 list 类型，实际: {type(batch).__name__}\")\n \n if not batch:\n logger.debug(\"批次 %d 为空，跳过处理\", batch_num)\n return {'success': True}\n \n # 构建 DTO 列表（包含完整的业务上下文）\n items = [\n HostPortMappingSnapshotDTO(\n scan_id=scan_id,\n target_id=target_id, # 包含 target_id 用于同步到资产表\n host=record['host'],\n ip=record['ip'],\n port=record['port']\n )\n for record in batch\n ]\n \n # 调用 Service 统一处理（保存快照 + 同步资产）\n # DTO 已包含 target_id，无需额外传参\n services.snapshot.save_and_sync(items)\n \n logger.debug(\"批次 %d: 已处理 %d 条记录\", batch_num, len(batch))\n \n return {'success': True}\n\ndef _parse_and_validate_line(line: str) -> Optional[PortScanRecord]:\n \"\"\"\n 解析并验证单行 JSON 数据\n \n Args:\n line: 单行输出数据\n \n Returns:\n Optional[PortScanRecord]: 有效的端口扫描记录，或 None 如果验证失败\n \n 验证步骤：\n 1. 解析 JSON 格式\n 2. 验证数据类型为字典\n 3. 提取必要字段（host, ip, port）\n 4. 验证字段不为空\n 5. 验证端口号有效性\n \"\"\"\n try:\n # 步骤 1: 解析 JSON\n try:\n line_data = json.loads(line, strict=False)\n except json.JSONDecodeError:\n # logger.info(\"跳过非 JSON 行: %s\", line)\n return None\n \n # 步骤 2: 验证数据类型\n if not isinstance(line_data, dict):\n logger.info(\"跳过非字典数据\")\n return None\n \n # 步骤 3: 提取必要字段\n host = line_data.get('host', '').strip()\n ip = line_data.get('ip', '').strip()\n port = line_data.get('port')\n \n logger.debug(\"解析到的主机名: %s, IP: %s, 端口: %s\", host, ip, port)\n\n if not host and ip:\n host = ip\n logger.debug(\"主机名为空，使用 IP 作为 host\")\n\n\n # 步骤 4: 验证字段不为空\n if not host or not ip or port is None:\n logger.info(\"跳过缺少必要字段的记录\")\n return None\n \n # 步骤 5: 验证端口号有效性\n is_valid, port_num = validate_port(port)\n if not is_valid:\n return None\n \n # 返回有效记录\n return {\n 'host': host,\n 'ip': ip,\n 'port': port_num,\n }\n \n except Exception:\n logger.info(\"跳过无法解析的行: %s\", line[:100])\n return None\n\n\ndef _parse_naabu_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> Generator[PortScanRecord, None, None]:\n \"\"\"\n 流式解析 naabu 端口扫描命令输出\n \n 基于 stream_command 实时处理 naabu 命令的 stdout，将每行 JSON 输出\n 转换为 PortScanRecord 格式，沿用现有字段校验逻辑\n \n Args:\n cmd: naabu 端口扫描命令（如: \"naabu -l domains.txt -json\"）\n tool_name: 工具名称（如: \"naabu\"）\n cwd: 工作目录\n shell: 是否使用 shell 执行\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n log_file: 日志文件路径（可选）\n \n Yields:\n PortScanRecord: 每次 yield 一条解析后的端口记录，格式：\n {\n 'host': str, # 域名\n 'ip': str, # IP地址 \n 'port': int, # 端口号\n }\n \"\"\"\n logger.info(\"开始流式解析 naabu 端口扫描命令输出 - 命令: %s\", cmd)\n \n total_lines = 0\n error_lines = 0\n last_log_time = time.time() # 添加：记录上次日志时间\n \n try:\n # 使用 execute_stream 获取实时输出流（带工具名、超时控制和日志文件）\n for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file):\n total_lines += 1\n \n try:\n # 解析并验证单行数据\n record = _parse_and_validate_line(line)\n if record is None:\n error_lines += 1\n continue\n \n # yield 一条有效记录\n yield record\n \n # 添加：每100条记录输出一次处理速度统计\n if total_lines % 100 == 0:\n current_time = time.time()\n elapsed = current_time - last_log_time\n logger.info(\n \"流式处理进度 - 已处理: %d 行, 有效记录: %d, 错误: %d, 速度: %.1f 行/秒\",\n total_lines, total_lines - error_lines, error_lines, 100 / elapsed if elapsed > 0 else 0\n )\n last_log_time = current_time\n \n except (json.JSONDecodeError, ValueError, KeyError):\n # 数据解析错误（可恢复）：记录信息但继续处理后续数据\n error_lines += 1\n logger.info(\"跳过无法解析的行: %s\", line)\n continue\n \n except subprocess.TimeoutExpired as e:\n # 超时异常：简洁输出，不显示堆栈\n error_msg = f\"流式解析命令输出超时 - 命令执行超过 {timeout} 秒\"\n logger.warning(error_msg) # 超时是可预期的\n raise RuntimeError(error_msg) from e\n \n except (IOError, OSError) as e:\n # IO错误（致命）：无法继续读取数据流\n logger.error(\"流式解析IO错误: %s\", e, exc_info=True)\n raise RuntimeError(f\"流式解析IO错误: {e}\") from e\n \n except (BrokenPipeError, ConnectionError) as e:\n # 连接错误（致命）：进程异常终止或管道断开\n logger.error(\"流式解析连接错误（进程可能异常终止）: %s\", e, exc_info=True)\n raise RuntimeError(f\"流式解析连接错误: {e}\") from e\n \n except Exception as e:\n # 未预期的异常：输出详细堆栈以便调试\n logger.error(\n \"流式解析命令输出失败（未预期的异常）: %s\",\n e, exc_info=True\n )\n raise\n \n logger.info(\n \"流式解析完成 - 总行数: %d, 错误行数: %d\", \n total_lines, error_lines,\n )\n\n\ndef _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None:\n \"\"\"\n 验证任务参数的有效性\n \n Args:\n cmd: 扫描命令\n target_id: 目标ID\n scan_id: 扫描ID\n cwd: 工作目录\n \n Raises:\n ValueError: 参数验证失败\n \"\"\"\n if not cmd or not cmd.strip():\n raise ValueError(\"扫描命令不能为空\")\n \n if target_id is None:\n raise ValueError(\"target_id 不能为 None，必须指定目标ID\")\n \n if scan_id is None:\n raise ValueError(\"scan_id 不能为 None，必须指定扫描ID\")\n \n # 验证工作目录（如果指定）\n if cwd and not Path(cwd).exists():\n raise ValueError(f\"工作目录不存在: {cwd}\")\n\n\ndef _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None:\n \"\"\"\n 累加批次统计信息\n \n Args:\n total_stats: 总统计信息字典\n batch_result: 批次结果字典\n \"\"\"\n total_stats['created_ips'] += batch_result.get('created_ips', 0)\n total_stats['created_ports'] += batch_result.get('created_ports', 0)\n total_stats['skipped_no_subdomain'] += batch_result.get('skipped_no_subdomain', 0)\n total_stats['skipped_no_ip'] += batch_result.get('skipped_no_ip', 0)\n\n\ndef _process_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n total_stats: dict,\n failed_batches: list,\n services: ServiceSet\n) -> None:\n \"\"\"\n 处理单个批次\n \n Args:\n batch: 数据批次\n scan_id: 扫描ID\n target_id: 目标ID\n batch_num: 批次编号\n total_stats: 总统计信息\n failed_batches: 失败批次列表\n services: Service 集合（必须，依赖注入）\n \"\"\"\n result = _save_batch_with_retry(\n batch, scan_id, target_id, batch_num, services\n )\n \n # 累计统计信息（失败时可能有部分数据已保存）\n _accumulate_batch_stats(total_stats, result)\n \n if not result['success']:\n failed_batches.append(batch_num)\n logger.warning(\n \"批次 %d 保存失败，但已累计统计信息：创建IP=%d, 创建端口=%d\",\n batch_num, result.get('created_ips', 0), result.get('created_ports', 0)\n )\n\n\ndef _process_records_in_batches(\n data_generator,\n scan_id: int,\n target_id: int,\n batch_size: int,\n services: ServiceSet\n) -> dict:\n \"\"\"\n 流式处理记录并分批保存\n \n Args:\n data_generator: 数据生成器\n scan_id: 扫描ID\n target_id: 目标ID\n batch_size: 批次大小\n services: Service 集合（必须，依赖注入）\n \n Returns:\n dict: 处理统计信息\n \n Raises:\n RuntimeError: 存在失败批次时抛出\n subprocess.TimeoutExpired: 命令执行超时（部分数据已保存）\n \n Note:\n 如果发生超时，已处理的数据会被保留在数据库中，\n 但扫描任务会被标记为失败。这是预期行为。\n \"\"\"\n total_records = 0\n batch_num = 0\n failed_batches = []\n batch = []\n cancel_check_interval = 50 # 每处理50条检查一次取消信号\n \n # 统计信息\n total_stats = {\n 'created_ips': 0,\n 'created_ports': 0,\n 'skipped_no_subdomain': 0,\n 'skipped_no_ip': 0\n }\n \n # 流式读取生成器并分批保存\n # 注意：如果超时，subprocess.TimeoutExpired 会从 data_generator 中抛出\n # 此时已处理的数据已经保存到数据库\n for record in data_generator:\n # 周期性检查取消信号，协作式终止\n if cancel_check_interval > 0 and (total_records % cancel_check_interval == 0):\n _raise_if_cancelled(scan_id)\n\n batch.append(record)\n total_records += 1\n \n # 达到批次大小，执行保存\n if len(batch) >= batch_size:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n batch = [] # 清空批次\n \n # 每20个批次输出进度\n if batch_num % 20 == 0:\n logger.info(\"进度: 已处理 %d 批次，%d 条记录\", batch_num, total_records)\n \n # 保存最后一批\n if batch:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n\n # 最后再检查一次取消信号，避免在尾部卡住\n _raise_if_cancelled(scan_id)\n \n # 检查失败批次\n if failed_batches:\n error_msg = (\n f\"流式保存端口扫描结果时出现失败批次，处理记录: {total_records}，\"\n f\"失败批次: {failed_batches}\"\n )\n logger.warning(error_msg) # 超时是可预期的\n raise RuntimeError(error_msg)\n \n return {\n 'processed_records': total_records,\n 'batch_count': batch_num,\n **total_stats\n }\n\n\ndef _build_final_result(stats: dict) -> dict:\n \"\"\"\n 构建最终结果并输出日志\n \n Args:\n stats: 处理统计信息\n \n Returns:\n dict: 最终结果\n \"\"\"\n logger.info(\n \"✓ 流式保存完成 - 处理记录: %d（%d 批次），创建IP: %d，创建端口: %d，跳过（无域名）: %d，跳过（无IP）: %d\",\n stats['processed_records'], stats['batch_count'], stats['created_ips'], stats['created_ports'], \n stats['skipped_no_subdomain'], stats['skipped_no_ip']\n )\n \n # 如果没有创建任何记录，给出明确提示\n if stats['created_ips'] == 0 and stats['created_ports'] == 0:\n logger.warning(\n \"⚠️ 没有创建任何记录！可能原因：1) 域名不在数据库中 2) 命令输出格式问题 3) 重复数据被忽略\"\n )\n \n return {\n 'processed_records': stats['processed_records'],\n 'created_ips': stats['created_ips'],\n 'created_ports': stats['created_ports'],\n 'skipped_no_subdomain': stats['skipped_no_subdomain'],\n 'skipped_no_ip': stats['skipped_no_ip']\n }\n\n\ndef _cleanup_resources(data_generator) -> None:\n \"\"\"\n 清理任务资源\n \n Args:\n data_generator: 数据生成器（可以为 None）\n \n Note:\n 此函数设计为幂等且安全：\n - 可以多次调用\n - 接受 None 值\n - 捕获所有异常，不会导致 finally 块失败\n \"\"\"\n # 确保生成器被正确关闭\n if data_generator is None:\n logger.debug(\"数据生成器为 None，无需清理\")\n return\n \n try:\n data_generator.close()\n logger.debug(\"✓ 已成功关闭数据生成器\")\n except StopIteration:\n # 生成器已经正常结束，这是预期行为\n logger.debug(\"数据生成器已正常结束\")\n except GeneratorExit:\n # 生成器已经被关闭，这是预期行为\n logger.debug(\"数据生成器已被关闭\")\n except Exception as gen_close_error:\n # 未预期的错误：记录但不抛出，避免掩盖原始异常\n logger.error(\n \"⚠️ 关闭生成器时出错（此错误不会影响任务结果）: %s\",\n gen_close_error,\n exc_info=True\n )\n\n\n@task(\n name='run_and_stream_save_ports',\n retries=0,\n log_prints=True\n)\ndef run_and_stream_save_ports_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n cwd: Optional[str] = None,\n shell: bool = False,\n batch_size: int = 1000,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> dict:\n \"\"\"\n 执行端口扫描命令并流式保存结果到数据库\n \n 该任务将：\n 1. 验证输入参数\n 2. 初始化资源（缓存、生成器）\n 3. 流式处理记录并分批保存\n 4. 构建并返回结果统计\n \n Args:\n cmd: 端口扫描命令（如: \"naabu -l domains.txt -json\"）\n tool_name: 工具名称（如: \"naabu\"）\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n cwd: 工作目录（可选）\n shell: 是否使用 shell 执行（默认 False）\n batch_size: 批量保存大小（默认1000）\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n log_file: 日志文件路径（可选）\n \n Returns:\n dict: {\n 'processed_records': int, # 处理的记录总数\n 'created_ips': int, # 创建的IP记录数\n 'created_ports': int, # 创建的端口记录数\n 'skipped_no_subdomain': int, # 因域名不存在跳过的记录数\n 'skipped_no_ip': int, # 因IP不存在跳过的记录数\n }\n \n Raises:\n ValueError: 参数验证失败\n RuntimeError: 命令执行或数据库操作失败\n subprocess.TimeoutExpired: 命令执行超时\n \n Performance:\n - 流式处理，实时解析命令输出\n - 内存占用恒定（只存储一个 batch）\n - 复用现有的批次保存和重试逻辑\n - 使用事务确保数据一致性\n \"\"\"\n logger.info(\n \"开始执行流式端口扫描任务 - target_id=%s, 超时=%s秒, 命令: %s\", \n target_id, timeout if timeout else '无限制', cmd\n )\n \n data_generator = None\n \n try:\n # 1. 验证参数\n _validate_task_parameters(cmd, target_id, scan_id, cwd)\n \n # 2. 初始化资源\n data_generator = _parse_naabu_stream_output(cmd, tool_name, cwd, shell, timeout, log_file)\n services = ServiceSet.create_default()\n \n # 3. 流式处理记录并分批保存\n stats = _process_records_in_batches(\n data_generator, scan_id, target_id, batch_size, services\n )\n \n # 4. 构建最终结果\n return _build_final_result(stats)\n \n except CancelledError:\n # Prefect 取消信号：终止任务并标记为取消（让上层 handler 触发状态更新）\n logger.warning(\n \"⚠️ 端口扫描任务检测到取消信号，正在终止 - scan_id=%s, target_id=%s\",\n scan_id, target_id\n )\n raise\n\n except subprocess.TimeoutExpired:\n # 超时异常：部分数据已保存，但扫描未完成\n # 这是预期行为：流式处理会实时保存已解析的数据\n logger.warning(\n \"⚠️ 端口扫描任务超时 - target_id=%s, 超时=%s秒\\n\"\n \"注意：超时前已解析的数据已保存到数据库，但扫描未完全完成。\\n\"\n \"建议：增加超时时间或减少扫描目标数量。\",\n target_id, timeout\n )\n raise # 直接重新抛出，保留异常类型\n \n except Exception as e:\n error_msg = f\"流式执行端口扫描任务失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n \n finally:\n # 5. 清理资源\n _cleanup_resources(data_generator)\n\n\ndef _raise_if_cancelled(scan_id: int) -> None:\n \"\"\"检测扫描是否已请求取消，若已取消则抛出 CancelledError 以触发 Prefect 取消流程。\"\"\"\n status = Scan.objects.filter(id=scan_id).values_list(\"status\", flat=True).first()\n if status == ScanStatus.CANCELLED:\n logger.warning(\"检测到取消信号，终止端口扫描 - scan_id=%s\", scan_id)\n raise CancelledError()\n" }, { "path": "backend/apps/scan/tasks/port_scan/types.py", "content": "\"\"\"\n端口扫描相关类型定义\n\n定义端口扫描流程中的数据结构，确保类型安全\n\"\"\"\n\nfrom typing import TypedDict\n\n\nclass PortScanRecord(TypedDict):\n \"\"\"\n 端口扫描记录类型定义\n \n 说明：\n 这是端口扫描的标准输出格式，包含：\n - host: 被扫描的域名\n - ip: 域名解析后的 IP 地址（扫描工具自动解析）\n - port: 发现的开放端口\n \n 用途：\n - 解析器输出：parse_naabu_result_task\n - 保存器输入：save_ports_task\n \n 注意：\n IP 是端口扫描的必然产物，因为：\n 1. 扫描工具需要先解析域名到 IP\n 2. 端口属于 IP，而非域名\n 3. 同一域名可能有多个 IP\n \"\"\"\n host: str # 域名（如：www.example.com）\n ip: str # IP 地址（如：1.1.1.1）\n port: int # 端口号（如：80, 443, 22）\n" }, { "path": "backend/apps/scan/tasks/screenshot/__init__.py", "content": "\"\"\"\n截图任务模块\n\n包含截图相关的所有任务：\n- capture_screenshots_task: 批量截图任务\n\"\"\"\n\nfrom .capture_screenshots_task import capture_screenshots_task\n\n__all__ = [\n 'capture_screenshots_task',\n]\n" }, { "path": "backend/apps/scan/tasks/screenshot/capture_screenshots_task.py", "content": "\"\"\"\n批量截图任务\n\n使用 Playwright 批量捕获网站截图，压缩后保存到数据库\n\"\"\"\nimport asyncio\nimport logging\nimport time\nfrom prefect import task\n\nlogger = logging.getLogger(__name__)\n\n\ndef _run_async(coro):\n \"\"\"\n 在同步环境中运行异步协程\n \n Args:\n coro: 异步协程\n \n Returns:\n 协程执行结果\n \"\"\"\n try:\n loop = asyncio.get_event_loop()\n except RuntimeError:\n loop = asyncio.new_event_loop()\n asyncio.set_event_loop(loop)\n \n return loop.run_until_complete(coro)\n\n\ndef _save_screenshot_with_retry(\n screenshot_service,\n scan_id: int,\n url: str,\n webp_data: bytes,\n status_code: int | None = None,\n max_retries: int = 3\n) -> bool:\n \"\"\"\n 保存截图到数据库（带重试机制）\n \n Args:\n screenshot_service: ScreenshotService 实例\n scan_id: 扫描 ID\n url: URL\n webp_data: WebP 图片数据\n status_code: HTTP 响应状态码\n max_retries: 最大重试次数\n \n Returns:\n 是否保存成功\n \"\"\"\n for attempt in range(max_retries):\n try:\n if screenshot_service.save_screenshot_snapshot(scan_id, url, webp_data, status_code):\n return True\n # save 返回 False，等待后重试\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt # 指数退避：1s, 2s, 4s\n logger.warning(\n \"保存截图失败（第 %d 次尝试），%d秒后重试: %s\",\n attempt + 1, wait_time, url\n )\n time.sleep(wait_time)\n except Exception as e:\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt\n logger.warning(\n \"保存截图异常（第 %d 次尝试），%d秒后重试: %s, 错误: %s\",\n attempt + 1, wait_time, url, str(e)[:100]\n )\n time.sleep(wait_time)\n else:\n logger.error(\"保存截图失败（已重试 %d 次）: %s\", max_retries, url)\n \n return False\n\n\nasync def _capture_and_save_screenshots(\n urls: list[str],\n scan_id: int,\n concurrency: int\n) -> dict:\n \"\"\"\n 异步批量截图并保存\n \n Args:\n urls: URL 列表\n scan_id: 扫描 ID\n concurrency: 并发数\n \n Returns:\n 统计信息字典\n \"\"\"\n from asgiref.sync import sync_to_async\n from apps.asset.services.playwright_screenshot_service import PlaywrightScreenshotService\n from apps.asset.services.screenshot_service import ScreenshotService\n \n # 初始化服务\n playwright_service = PlaywrightScreenshotService(concurrency=concurrency)\n screenshot_service = ScreenshotService()\n \n # 包装同步的保存函数为异步\n async_save_with_retry = sync_to_async(_save_screenshot_with_retry, thread_sensitive=True)\n \n # 统计\n total = len(urls)\n successful = 0\n failed = 0\n \n logger.info(\"开始批量截图 - URL数: %d, 并发数: %d\", total, concurrency)\n \n # 批量截图\n async for url, screenshot_bytes, status_code in playwright_service.capture_batch(urls):\n if screenshot_bytes is None:\n failed += 1\n continue\n \n # 压缩为 WebP\n webp_data = screenshot_service.compress_from_bytes(screenshot_bytes)\n if webp_data is None:\n logger.warning(\"压缩截图失败: %s\", url)\n failed += 1\n continue\n \n # 保存到数据库（带重试，使用 sync_to_async）\n if await async_save_with_retry(screenshot_service, scan_id, url, webp_data, status_code):\n successful += 1\n if successful % 10 == 0:\n logger.info(\"截图进度: %d/%d 成功\", successful, total)\n else:\n failed += 1\n \n return {\n 'total': total,\n 'successful': successful,\n 'failed': failed\n }\n\n\n@task(name='capture_screenshots', retries=0)\ndef capture_screenshots_task(\n urls: list[str],\n scan_id: int,\n target_id: int,\n config: dict\n) -> dict:\n \"\"\"\n 批量截图任务\n \n Args:\n urls: URL 列表\n scan_id: 扫描 ID\n target_id: 目标 ID（用于日志）\n config: 截图配置\n - concurrency: 并发数（默认 5）\n \n Returns:\n dict: {\n 'total': int, # 总 URL 数\n 'successful': int, # 成功截图数\n 'failed': int # 失败数\n }\n \"\"\"\n if not urls:\n logger.info(\"URL 列表为空，跳过截图任务\")\n return {'total': 0, 'successful': 0, 'failed': 0}\n \n concurrency = config.get('concurrency', 5)\n \n logger.info(\n \"开始截图任务 - scan_id=%d, target_id=%d, URL数=%d, 并发=%d\",\n scan_id, target_id, len(urls), concurrency\n )\n \n try:\n result = _run_async(_capture_and_save_screenshots(\n urls=urls,\n scan_id=scan_id,\n concurrency=concurrency\n ))\n \n logger.info(\n \"✓ 截图任务完成 - 总数: %d, 成功: %d, 失败: %d\",\n result['total'], result['successful'], result['failed']\n )\n \n return result\n \n except Exception as e:\n logger.error(\"截图任务失败: %s\", e, exc_info=True)\n raise RuntimeError(f\"截图任务失败: {e}\") from e\n" }, { "path": "backend/apps/scan/tasks/site_scan/__init__.py", "content": "\"\"\"\n站点扫描任务模块\n\n包含站点扫描相关的所有任务：\n- export_site_urls_task: 导出站点URL到文件\n- run_and_stream_save_websites_task: 流式运行httpx扫描并实时保存结果\n\"\"\"\n\nfrom .export_site_urls_task import export_site_urls_task\nfrom .run_and_stream_save_websites_task import run_and_stream_save_websites_task\n\n__all__ = [\n 'export_site_urls_task',\n 'run_and_stream_save_websites_task',\n]\n" }, { "path": "backend/apps/scan/tasks/site_scan/export_site_urls_task.py", "content": "\"\"\"\n导出站点URL到文件的Task\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库导出\n2. Provider 模式：使用 TargetProvider 从任意数据源导出\n\n特殊逻辑：\n- 80 端口：只生成 HTTP URL（省略端口号）\n- 443 端口：只生成 HTTPS URL（省略端口号）\n- 其他端口：生成 HTTP 和 HTTPS 两个URL（带端口号）\n\"\"\"\nimport logging\nfrom typing import Optional\nfrom pathlib import Path\nfrom prefect import task\n\nfrom apps.asset.services import HostPortMappingService\nfrom apps.scan.services.target_export_service import create_export_service\nfrom apps.common.services import BlacklistService\nfrom apps.common.utils import BlacklistFilter\nfrom apps.scan.providers import TargetProvider, DatabaseTargetProvider, ProviderContext\n\nlogger = logging.getLogger(__name__)\n\n\ndef _generate_urls_from_port(host: str, port: int) -> list[str]:\n \"\"\"\n 根据端口生成 URL 列表\n \n - 80 端口：只生成 HTTP URL（省略端口号）\n - 443 端口：只生成 HTTPS URL（省略端口号）\n - 其他端口：生成 HTTP 和 HTTPS 两个URL（带端口号）\n \"\"\"\n if port == 80:\n return [f\"http://{host}\"]\n elif port == 443:\n return [f\"https://{host}\"]\n else:\n return [f\"http://{host}:{port}\", f\"https://{host}:{port}\"]\n\n\n@task(name=\"export_site_urls\")\ndef export_site_urls_task(\n output_file: str,\n target_id: Optional[int] = None,\n provider: Optional[TargetProvider] = None,\n batch_size: int = 1000\n) -> dict:\n \"\"\"\n 导出目标下的所有站点URL到文件\n \n 支持两种模式：\n 1. 传统模式（向后兼容）：传入 target_id，从 HostPortMapping 表导出\n 2. Provider 模式：传入 provider，从任意数据源导出\n \n 传统模式特殊逻辑：\n - 80 端口：只生成 HTTP URL（省略端口号）\n - 443 端口：只生成 HTTPS URL（省略端口号）\n - 其他端口：生成 HTTP 和 HTTPS 两个URL（带端口号）\n \n 回退逻辑（仅传统模式）：\n - 如果 HostPortMapping 为空，使用 generate_default_urls() 生成默认 URL\n \n Args:\n output_file: 输出文件路径（绝对路径）\n target_id: 目标ID（传统模式，向后兼容）\n provider: TargetProvider 实例（新模式）\n batch_size: 每次处理的批次大小\n \n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'total_urls': int,\n 'association_count': int, # 主机端口关联数量（仅传统模式）\n 'source': str, # 数据来源: \"host_port\" | \"default\" | \"provider\"\n }\n \n Raises:\n ValueError: 参数错误\n IOError: 文件写入失败\n \"\"\"\n # 参数验证：至少提供一个\n if target_id is None and provider is None:\n raise ValueError(\"必须提供 target_id 或 provider 参数之一\")\n \n # 向后兼容：如果没有提供 provider，使用传统模式\n if provider is None:\n logger.info(\"使用传统模式 - Target ID: %d, 输出文件: %s\", target_id, output_file)\n return _export_site_urls_legacy(target_id, output_file, batch_size)\n \n # Provider 模式\n logger.info(\"使用 Provider 模式 - Provider: %s, 输出文件: %s\", type(provider).__name__, output_file)\n \n # 确保输出目录存在\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n # 使用 Provider 导出 URL 列表\n total_urls = 0\n blacklist_filter = provider.get_blacklist_filter()\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for url in provider.iter_urls():\n # 应用黑名单过滤（如果有）\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n \n f.write(f\"{url}\\n\")\n total_urls += 1\n \n if total_urls % 1000 == 0:\n logger.info(\"已导出 %d 个URL...\", total_urls)\n \n logger.info(\"✓ URL导出完成 - 总数: %d, 文件: %s\", total_urls, str(output_path))\n \n return {\n 'success': True,\n 'output_file': str(output_path),\n 'total_urls': total_urls,\n 'source': 'provider',\n }\n\n\ndef _export_site_urls_legacy(target_id: int, output_file: str, batch_size: int) -> dict:\n \"\"\"\n 传统模式：从 HostPortMapping 表导出 URL\n \n 保持原有逻辑不变，确保向后兼容\n \"\"\"\n logger.info(\"开始统计站点URL - Target ID: %d, 输出文件: %s\", target_id, output_file)\n \n # 确保输出目录存在\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n # 获取规则并创建过滤器\n blacklist_filter = BlacklistFilter(BlacklistService().get_rules(target_id))\n \n # 直接查询 HostPortMapping 表，按 host 排序\n service = HostPortMappingService()\n associations = service.iter_host_port_by_target(\n target_id=target_id,\n batch_size=batch_size,\n )\n \n total_urls = 0\n association_count = 0\n filtered_count = 0\n \n # 流式写入文件（特殊端口逻辑）\n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for assoc in associations:\n association_count += 1\n host = assoc['host']\n port = assoc['port']\n \n # 先校验 host，通过了再生成 URL\n if not blacklist_filter.is_allowed(host):\n filtered_count += 1\n continue\n \n # 根据端口号生成URL\n for url in _generate_urls_from_port(host, port):\n f.write(f\"{url}\\n\")\n total_urls += 1\n \n if association_count % 1000 == 0:\n logger.info(\"已处理 %d 条关联，生成 %d 个URL...\", association_count, total_urls)\n \n if filtered_count > 0:\n logger.info(\"黑名单过滤: 过滤 %d 条关联\", filtered_count)\n \n logger.info(\n \"✓ 站点URL导出完成 - 关联数: %d, 总URL数: %d, 文件: %s\",\n association_count, total_urls, str(output_path)\n )\n \n # 判断数据来源\n source = \"host_port\"\n \n # 数据存在但全被过滤，不回退\n if association_count > 0 and total_urls == 0:\n logger.info(\"HostPortMapping 有 %d 条数据，但全被黑名单过滤，不回退\", association_count)\n return {\n 'success': True,\n 'output_file': str(output_path),\n 'total_urls': 0,\n 'association_count': association_count,\n 'source': source,\n }\n \n # 数据源为空，回退到默认 URL 生成\n if total_urls == 0:\n logger.info(\"HostPortMapping 为空，使用默认 URL 生成\")\n export_service = create_export_service(target_id)\n result = export_service.generate_default_urls(target_id, str(output_path))\n total_urls = result['total_count']\n source = \"default\"\n \n return {\n 'success': True,\n 'output_file': str(output_path),\n 'total_urls': total_urls,\n 'association_count': association_count,\n 'source': source,\n }\n" }, { "path": "backend/apps/scan/tasks/site_scan/run_and_stream_save_websites_task.py", "content": "\"\"\"\n基于 execute_stream 的流式站点扫描任务\n\n主要功能：\n 1. 实时执行站点扫描命令（httpx）\n 2. 流式处理命令输出，实时解析为 HttpxRecord\n 3. 批量保存到数据库，复用现有的字段校验与统计逻辑\n 4. 避免生成大量临时文件，提高效率\n\n数据流向：\n 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库\n \n 输入：扫描命令及参数\n 输出：WebSite 记录\n\n优化策略：\n - 使用 execute_stream 实时处理输出\n - 复用现有的 _save_batch_with_retry 逻辑\n - 流式处理避免内存溢出\n - 批量操作减少数据库交互\n\"\"\"\n\nimport logging\nimport json\nimport subprocess\nimport time\nfrom pathlib import Path\nfrom prefect import task\nfrom typing import Generator, Optional, Dict, Any, TYPE_CHECKING\nfrom django.db import IntegrityError, OperationalError, DatabaseError\nfrom dataclasses import dataclass\nfrom urllib.parse import urlparse, urlunparse\nfrom psycopg2 import InterfaceError\n\nfrom apps.asset.dtos.snapshot import WebsiteSnapshotDTO\n\nfrom apps.scan.utils import execute_stream\n\n# 类型检查时导入，运行时不导入（避免循环依赖）\nif TYPE_CHECKING:\n from apps.asset.services.snapshot import WebsiteSnapshotsService\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"\n Service 集合，用于依赖注入\n \n 提供所有需要的 Service 实例，便于测试时注入 Mock 对象\n \"\"\"\n snapshot: \"WebsiteSnapshotsService\"\n \n @classmethod\n def create_default(cls) -> 'ServiceSet':\n \"\"\"创建默认的 Service 集合\"\"\"\n from apps.asset.services.snapshot import WebsiteSnapshotsService\n return cls(\n snapshot=WebsiteSnapshotsService()\n )\n\n\ndef _sanitize_string(value: str) -> str:\n \"\"\"\n 清理字符串中的 NUL 字符和其他不可打印字符\n \n PostgreSQL 不允许字符串字段包含 NUL (0x00) 字符\n \"\"\"\n if not value:\n return value\n # 移除 NUL 字符\n return value.replace('\\x00', '')\n\n\ndef normalize_url(url: str) -> str:\n \"\"\"\n 标准化 URL，移除默认端口号\n \n 处理规则：\n - HTTPS 协议的 443 端口 → 移除端口号\n - HTTP 协议的 80 端口 → 移除端口号\n - 其他端口 → 保留端口号\n \n Args:\n url: 原始 URL（如 https://www.example.com:443）\n \n Returns:\n str: 标准化后的 URL（如 https://www.example.com）\n \n Examples:\n >>> normalize_url('https://www.example.com:443')\n 'https://www.example.com'\n >>> normalize_url('http://www.example.com:80')\n 'http://www.example.com'\n >>> normalize_url('https://www.example.com:8443')\n 'https://www.example.com:8443'\n \"\"\"\n try:\n parsed = urlparse(url)\n \n # 检查是否需要移除端口号\n should_remove_port = (\n (parsed.scheme == 'https' and parsed.port == 443) or\n (parsed.scheme == 'http' and parsed.port == 80)\n )\n \n if should_remove_port:\n # 重建 URL，不包含端口号\n # netloc 可能是 'domain:port' 格式，需要只保留 hostname\n netloc = parsed.hostname or parsed.netloc.split(':')[0]\n normalized = urlunparse((\n parsed.scheme,\n netloc,\n parsed.path,\n parsed.params,\n parsed.query,\n parsed.fragment\n ))\n return normalized\n \n # 不需要修改，返回原 URL\n return url\n \n except Exception as e:\n # 解析失败，返回原 URL\n logger.debug(\"URL 标准化失败: %s，使用原始 URL: %s\", e, url)\n return url\n\n\ndef _extract_hostname(url: str) -> str:\n \"\"\"\n 从 URL 提取主机名\n \n Args:\n url: URL 字符串\n \n Returns:\n str: 提取的主机名（小写）\n \"\"\"\n try:\n if url:\n parsed = urlparse(url)\n if parsed.hostname:\n return parsed.hostname\n # 降级方案：手动提取\n return url.replace('http://', '').replace('https://', '').split('/')[0].split(':')[0]\n return ''\n except Exception as e:\n logger.debug(\"提取主机名失败: %s\", e)\n return ''\n\n\nclass HttpxRecord:\n \"\"\"httpx 扫描记录数据类\"\"\"\n \n def __init__(self, data: Dict[str, Any]):\n self.url = _sanitize_string(data.get('url', ''))\n self.input = _sanitize_string(data.get('input', ''))\n self.title = _sanitize_string(data.get('title', ''))\n self.status_code = data.get('status_code') # int，不需要清理\n self.content_length = data.get('content_length') # int，不需要清理\n self.content_type = _sanitize_string(data.get('content_type', ''))\n self.location = _sanitize_string(data.get('location', ''))\n self.webserver = _sanitize_string(data.get('webserver', ''))\n self.response_body = _sanitize_string(data.get('body', ''))\n self.tech = [_sanitize_string(t) for t in data.get('tech', []) if isinstance(t, str)] # 列表中的字符串也需要清理\n self.vhost = data.get('vhost') # bool，不需要清理\n self.failed = data.get('failed', False) # bool，不需要清理\n self.response_headers = _sanitize_string(data.get('raw_header', ''))\n \n # 从 URL 中提取主机名（优先使用 httpx 返回的 host，否则自动提取）\n httpx_host = _sanitize_string(data.get('host', ''))\n self.host = httpx_host if httpx_host else _extract_hostname(self.url)\n\n\ndef _save_batch_with_retry(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n max_retries: int = 3\n) -> dict:\n \"\"\"\n 保存一个批次的数据（带重试机制）\n \n Args:\n batch: 要保存的记录批次\n scan_id: 扫描任务ID\n target_id: 目标ID\n batch_num: 批次编号\n services: Service 集合（必须，依赖注入）\n max_retries: 最大重试次数\n \n Returns:\n dict: {\n 'success': bool,\n 'created_websites': int,\n 'skipped_failed': int\n }\n \"\"\"\n for attempt in range(max_retries):\n try:\n stats = _save_batch(batch, scan_id, target_id, batch_num, services)\n return {\n 'success': True,\n 'created_websites': stats.get('created_websites', 0),\n 'skipped_failed': stats.get('skipped_failed', 0)\n }\n \n except IntegrityError as e:\n # 数据完整性错误，不应重试（IntegrityError 是 DatabaseError 的子类，需先处理）\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {\n 'success': False,\n 'created_websites': 0,\n 'skipped_failed': 0\n }\n \n except (OperationalError, DatabaseError, InterfaceError) as e:\n # 数据库级错误（连接中断、表结构不匹配等）：按指数退避重试，最终失败时抛出异常让 Flow 失败\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt\n logger.warning(\n \"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\",\n batch_num, attempt + 1, wait_time, str(e)[:100]\n )\n time.sleep(wait_time)\n else:\n logger.error(\n \"批次 %d 保存失败（已重试 %d 次），将终止任务: %s\",\n batch_num,\n max_retries,\n e,\n exc_info=True,\n )\n # 让上层 Task 感知失败，从而标记整个扫描为失败\n raise\n\n except Exception as e:\n # 其他未知异常也不再吞掉，直接抛出以便 Flow 标记为失败\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n raise\n\n # 理论上不会走到这里，保留兜底返回值以满足类型约束\n return {\n 'success': False,\n 'created_websites': 0,\n 'skipped_failed': 0\n }\n\n\ndef _save_batch(\n batch: list, \n scan_id: int, \n target_id: int, \n batch_num: int, \n services: ServiceSet\n) -> dict:\n \"\"\"\n 保存一个批次的数据到数据库（使用快照 Service）\n \n 数据关系链：\n Subdomain (已存在) → WebsiteSnapshot (待创建) → WebSite (自动同步)\n \n 处理流程：\n 1. 查询 Subdomain：根据域名批量查询（LRU缓存）\n 2. 构建 WebsiteSnapshotDTO：包含 scan_id 和 target_id\n 3. 调用快照 Service：save_and_sync() 自动保存快照并同步到资产表\n \n Args:\n batch: 数据批次，list of HttpxRecord\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n batch_num: 批次编号（用于日志）\n services: Service 集合（依赖注入）\n \n Returns:\n dict: 包含创建和跳过记录的统计信息\n \n Raises:\n TypeError: batch 参数类型错误\n IntegrityError: 数据完整性错误\n OperationalError: 数据库操作错误\n DatabaseError: 其他数据库错误\n \n Note:\n 此函数不包含重试逻辑，由外层 _save_batch_with_retry 负责重试\n \"\"\"\n # 参数验证\n if not isinstance(batch, list):\n raise TypeError(f\"batch 必须是 list 类型，实际: {type(batch).__name__}\")\n \n if not batch:\n logger.debug(\"批次 %d 为空，跳过处理\", batch_num)\n return {\n 'created_websites': 0,\n 'skipped_failed': 0\n }\n \n # 统计变量\n skipped_failed = 0\n \n # ========== Step 1: 准备 WebsiteSnapshot 数据（内存操作，无需事务）==========\n snapshot_items = []\n \n for record in batch:\n # 跳过失败的请求\n if record.failed:\n skipped_failed += 1\n continue\n \n try:\n # 使用 input 字段（原始扫描的 URL）而不是 url 字段（重定向后的 URL）\n # 原因：避免多个不同的输入 URL 重定向到同一个 URL 时产生唯一约束冲突\n # 例如：http://example.com 和 https://example.com 都重定向到 https://example.com\n # 如果使用 record.url，两条记录会有相同的 url，导致数据库冲突\n # 如果使用 record.input，两条记录保留原始输入，不会冲突\n normalized_url = normalize_url(record.input) if record.input else normalize_url(record.url)\n \n # 提取 host 字段（域名或IP地址）\n host = record.host if record.host else ''\n \n # 创建 WebsiteSnapshot DTO\n snapshot_dto = WebsiteSnapshotDTO(\n scan_id=scan_id,\n target_id=target_id, # 主关联字段\n url=normalized_url, # 保存原始输入 URL（归一化后）\n host=host, # 主机名（域名或IP地址）\n location=record.location if record.location else '',\n title=record.title if record.title else '',\n webserver=record.webserver if record.webserver else '',\n response_body=record.response_body if record.response_body else '',\n content_type=record.content_type if record.content_type else '',\n tech=record.tech if isinstance(record.tech, list) else [],\n status_code=record.status_code,\n content_length=record.content_length,\n vhost=record.vhost,\n response_headers=record.response_headers if record.response_headers else '',\n )\n \n snapshot_items.append(snapshot_dto)\n \n except Exception as e:\n logger.error(\"处理记录失败: %s，错误: %s\", record.url, e)\n continue\n \n # ========== Step 2: 保存快照并同步到资产表（通过快照 Service）==========\n if snapshot_items:\n services.snapshot.save_and_sync(snapshot_items)\n \n return {\n 'created_websites': len(snapshot_items),\n 'skipped_failed': skipped_failed\n }\n\ndef _parse_and_validate_line(line: str) -> Optional[HttpxRecord]:\n \"\"\"\n 解析并验证单行 JSON 数据\n \n Args:\n line: 单行输出数据\n \n Returns:\n Optional[HttpxRecord]: 有效的 httpx 扫描记录，或 None 如果验证失败\n \n 验证步骤：\n 1. 清理 NUL 字符\n 2. 解析 JSON 格式\n 3. 验证数据类型为字典\n 4. 创建 HttpxRecord 对象\n 5. 验证必要字段（url）\n \"\"\"\n try:\n # 步骤 1: 清理 NUL 字符后再解析 JSON\n line = _sanitize_string(line)\n \n # 步骤 2: 解析 JSON\n try:\n line_data = json.loads(line, strict=False)\n except json.JSONDecodeError:\n return None\n \n # 步骤 3: 验证数据类型\n if not isinstance(line_data, dict):\n logger.info(\"跳过非字典数据\")\n return None\n \n # 步骤 4: 创建记录\n record = HttpxRecord(line_data)\n \n # 步骤 5: 验证必要字段\n if not record.url:\n logger.info(\"URL 为空，跳过 - 数据: %s\", str(line_data)[:200])\n return None\n \n # 返回有效记录\n return record\n \n except Exception:\n logger.info(\"跳过无法解析的行: %s\", line[:100] if line else 'empty')\n return None\n\n\ndef _parse_httpx_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> Generator[HttpxRecord, None, None]:\n \"\"\"\n 流式解析 httpx 站点扫描命令输出\n \n 基于 execute_stream 实时处理 httpx 命令的 stdout，将每行 JSON 输出\n 转换为 HttpxRecord 格式，沿用现有字段校验逻辑\n \n Args:\n cmd: httpx 站点扫描命令\n cwd: 工作目录\n shell: 是否使用 shell 执行\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n \n Yields:\n HttpxRecord: 每次 yield 一条解析后的站点记录\n \"\"\"\n logger.info(\"开始流式解析 httpx 站点扫描命令输出 - 命令: %s\", cmd)\n \n total_lines = 0\n error_lines = 0\n valid_records = 0\n \n try:\n # 使用 execute_stream 获取实时输出流（带工具名、超时控制和日志文件）\n for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file):\n total_lines += 1\n \n # 解析并验证单行数据\n record = _parse_and_validate_line(line)\n if record is None:\n error_lines += 1\n continue\n \n valid_records += 1\n # yield 一条有效记录\n yield record\n \n # 每处理 5 条记录输出一次进度\n if valid_records % 5 == 0:\n logger.info(\"已解析 %d 条有效记录...\", valid_records)\n \n except subprocess.TimeoutExpired as e:\n # 超时异常：简洁输出，不显示堆栈\n error_msg = f\"流式解析命令输出超时 - 命令执行超过 {timeout} 秒\"\n logger.warning(error_msg) # 超时是可预期的\n raise RuntimeError(error_msg) from e\n except Exception as e:\n # 其他异常：输出详细堆栈以便调试\n logger.error(\"流式解析命令输出失败: %s\", e, exc_info=True)\n raise\n \n logger.info(\n \"流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d\", \n total_lines, valid_records, error_lines\n )\n\n\ndef _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None:\n \"\"\"\n 验证任务参数的有效性\n \n Args:\n cmd: 扫描命令\n target_id: 目标ID\n scan_id: 扫描ID\n cwd: 工作目录\n \n Raises:\n ValueError: 参数验证失败\n \"\"\"\n if not cmd or not cmd.strip():\n raise ValueError(\"扫描命令不能为空\")\n \n if target_id is None:\n raise ValueError(\"target_id 不能为 None，必须指定目标ID\")\n \n if scan_id is None:\n raise ValueError(\"scan_id 不能为 None，必须指定扫描ID\")\n \n # 验证工作目录（如果指定）\n if cwd and not Path(cwd).exists():\n raise ValueError(f\"工作目录不存在: {cwd}\")\n\n\ndef _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None:\n \"\"\"\n 累加批次统计信息\n \n Args:\n total_stats: 总统计信息字典\n batch_result: 批次结果字典\n \"\"\"\n total_stats['created_websites'] += batch_result.get('created_websites', 0)\n total_stats['skipped_failed'] += batch_result.get('skipped_failed', 0)\n\n\ndef _process_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n total_stats: dict,\n failed_batches: list,\n services: ServiceSet\n) -> None:\n \"\"\"\n 处理单个批次\n \n Args:\n batch: 数据批次\n scan_id: 扫描ID\n target_id: 目标ID\n batch_num: 批次编号\n total_stats: 总统计信息\n failed_batches: 失败批次列表\n services: Service 集合（必须，依赖注入）\n \"\"\"\n result = _save_batch_with_retry(\n batch, scan_id, target_id, batch_num, services\n )\n \n # 累计统计信息（失败时可能有部分数据已保存）\n _accumulate_batch_stats(total_stats, result)\n \n if not result['success']:\n failed_batches.append(batch_num)\n logger.warning(\n \"批次 %d 保存失败，但已累计统计信息：创建站点=%d\",\n batch_num, result.get('created_websites', 0)\n )\n\n\ndef _process_records_in_batches(\n data_generator,\n scan_id: int,\n target_id: int,\n batch_size: int,\n services: ServiceSet\n) -> dict:\n \"\"\"\n 流式处理记录并分批保存\n \n Args:\n data_generator: 数据生成器\n scan_id: 扫描ID\n target_id: 目标ID\n batch_size: 批次大小\n services: Service 集合（必须，依赖注入）\n \n Returns:\n dict: 处理统计信息\n \n Raises:\n RuntimeError: 存在失败批次时抛出\n \"\"\"\n total_records = 0\n batch_num = 0\n failed_batches = []\n batch = []\n \n # 统计信息\n total_stats = {\n 'created_websites': 0,\n 'skipped_failed': 0\n }\n \n # 流式读取生成器并分批保存\n for record in data_generator:\n batch.append(record)\n total_records += 1\n \n # 达到批次大小，执行保存\n if len(batch) >= batch_size:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n batch = [] # 清空批次\n \n # 每 2 个批次输出进度\n if batch_num % 2 == 0:\n logger.info(\"进度: 已处理 %d 批次，%d 条记录\", batch_num, total_records)\n \n # 保存最后一批\n if batch:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n \n # 检查失败批次\n if failed_batches:\n error_msg = (\n f\"流式保存站点扫描结果时出现失败批次，处理记录: {total_records}，\"\n f\"失败批次: {failed_batches}\"\n )\n logger.warning(error_msg) # 超时是可预期的\n raise RuntimeError(error_msg)\n \n return {\n 'processed_records': total_records,\n 'batch_count': batch_num,\n **total_stats\n }\n\n\ndef _build_final_result(stats: dict) -> dict:\n \"\"\"\n 构建最终结果并输出日志\n \n Args:\n stats: 处理统计信息\n \n Returns:\n dict: 最终结果\n \"\"\"\n logger.info(\n \"✓ 流式保存完成 - 处理记录: %d（%d 批次），创建站点: %d，跳过（失败）: %d\",\n stats['processed_records'], stats['batch_count'], stats['created_websites'],\n stats['skipped_failed']\n )\n \n # 如果没有创建任何记录，给出明确提示\n if stats['created_websites'] == 0:\n logger.warning(\n \"⚠️ 没有创建任何站点记录！可能原因：1) 域名不在数据库中 2) 命令输出格式问题 3) 重复数据被忽略 4) 所有请求都失败\"\n )\n \n return {\n 'processed_records': stats['processed_records'],\n 'created_websites': stats['created_websites'],\n 'skipped_failed': stats['skipped_failed']\n }\n\n\ndef _cleanup_resources(data_generator) -> None:\n \"\"\"\n 清理任务资源\n \n Args:\n data_generator: 数据生成器\n \"\"\"\n # 注：LRUCache 是局部变量，函数结束时会自动释放，无需手动 clear()\n \n # 确保生成器被正确关闭\n if data_generator is not None:\n try:\n data_generator.close()\n logger.debug(\"已关闭数据生成器\")\n except Exception as gen_close_error:\n logger.error(\"关闭生成器时出错: %s\", gen_close_error)\n\n\n@task(name='run_and_stream_save_websites', retries=0)\ndef run_and_stream_save_websites_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n cwd: Optional[str] = None,\n shell: bool = False,\n batch_size: int = 10,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> dict:\n \"\"\"\n 执行 httpx 站点扫描命令并流式保存结果到数据库\n \n 该任务将：\n 1. 验证输入参数\n 2. 初始化资源（缓存、生成器）\n 3. 流式处理记录并分批保存\n 4. 构建并返回结果统计\n \n Args:\n cmd: httpx 站点扫描命令\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n cwd: 工作目录（可选）\n shell: 是否使用 shell 执行（默认 False）\n batch_size: 批量保存大小（默认1000）\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n \n Returns:\n dict: {\n 'processed_records': int, # 处理的记录总数\n 'created_websites': int, # 创建的站点记录数\n 'skipped_failed': int, # 因请求失败跳过的记录数\n }\n \n Raises:\n ValueError: 参数验证失败\n RuntimeError: 命令执行或数据库操作失败\n subprocess.TimeoutExpired: 命令执行超时\n \n Performance:\n - 流式处理，实时解析命令输出\n - 内存占用恒定（只存储一个 batch）\n - 复用现有的批次保存和重试逻辑\n - 使用事务确保数据一致性\n \"\"\"\n logger.info(\n \"开始执行流式站点扫描任务 - target_id=%s, 超时=%s秒, 命令: %s\", \n target_id, timeout if timeout else '无限制', cmd\n )\n \n data_generator = None\n \n try:\n # 1. 验证参数\n _validate_task_parameters(cmd, target_id, scan_id, cwd)\n \n # 2. 初始化资源\n data_generator = _parse_httpx_stream_output(cmd, tool_name, cwd, shell, timeout, log_file)\n services = ServiceSet.create_default()\n \n # 3. 流式处理记录并分批保存\n stats = _process_records_in_batches(\n data_generator, scan_id, target_id, batch_size, services\n )\n \n # 4. 构建最终结果\n return _build_final_result(stats)\n \n except subprocess.TimeoutExpired:\n # 超时异常直接向上传播，保留异常类型\n logger.warning(\n \"⚠️ 站点扫描任务超时 - target_id=%s, 超时=%s秒\",\n target_id, timeout\n )\n raise # 直接重新抛出，不包装\n \n except Exception as e:\n error_msg = f\"流式执行站点扫描任务失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n \n finally:\n # 5. 清理资源\n _cleanup_resources(data_generator)\n" }, { "path": "backend/apps/scan/tasks/subdomain_discovery/__init__.py", "content": "\"\"\"\n子域名发现任务模块\n\n包含子域名扫描流程的 Prefect Tasks：\n- run_subdomain_discovery_task: 运行单个子域名发现工具（可并行）\n- merge_and_validate_task: 合并、解析并验证域名（一体化高性能）\n- save_domains_task: 保存到数据库\n\n架构优势：\n- 每个 task 单一职责，可独立重试\n- 支持并行执行扫描工具\n- 流式处理 + 正则验证，性能提升 50-100 倍\n- Flow 层编排，逻辑清晰\n\"\"\"\n\nfrom .run_subdomain_discovery_task import run_subdomain_discovery_task\nfrom .merge_and_validate_task import merge_and_validate_task\nfrom .save_domains_task import save_domains_task\n\n__all__ = [\n 'run_subdomain_discovery_task',\n 'merge_and_validate_task',\n 'save_domains_task',\n]\n" }, { "path": "backend/apps/scan/tasks/subdomain_discovery/merge_and_validate_task.py", "content": "\"\"\"\n合并并去重域名任务\n\n合并 merge + parse + validate 三个步骤,优化性能:\n- 单命令实现(LC_ALL=C sort -u)\n- C语言级性能,单进程高效\n- 无临时文件,零额外开销\n- 支持千万级数据处理\n\n性能优势:\n- LC_ALL=C 字节序比较(比locale快20-30%)\n- 单进程直接处理多文件(无管道开销)\n- 内存占用恒定(~50MB for 50万域名)\n- 50万域名处理时间:~0.5秒(相比 Python 提升 ~67%)\n\nNote:\n - 工具(amass/subfinder)输出已标准化(小写,无空行)\n - sort -u 自动处理去重和排序\n - 无需额外过滤,性能最优\n\"\"\"\n\nimport logging\nimport subprocess\nimport uuid\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import List\n\nfrom prefect import task\n\nlogger = logging.getLogger(__name__)\n\n\ndef _count_file_lines(file_path: str) -> int:\n \"\"\"使用 wc -l 统计文件行数，失败时返回 0\"\"\"\n try:\n result = subprocess.run(\n [\"wc\", \"-l\", file_path],\n check=True,\n capture_output=True,\n text=True,\n )\n return int(result.stdout.strip().split()[0])\n except (subprocess.CalledProcessError, ValueError, IndexError):\n return 0\n\n\ndef _calculate_timeout(total_lines: int) -> int:\n \"\"\"根据总行数计算超时时间（每行约 0.1 秒，最少 600 秒）\"\"\"\n if total_lines <= 0:\n return 3600\n return max(600, int(total_lines * 0.1))\n\n\ndef _validate_input_files(result_files: List[str]) -> List[str]:\n \"\"\"验证输入文件存在性，返回有效文件列表\"\"\"\n valid_files = []\n for file_path_str in result_files:\n file_path = Path(file_path_str)\n if file_path.exists():\n valid_files.append(str(file_path))\n else:\n logger.warning(\"结果文件不存在: %s\", file_path)\n return valid_files\n\n\n@task(name='merge_and_deduplicate', retries=1, log_prints=True)\ndef merge_and_validate_task(result_files: List[str], result_dir: str) -> str:\n \"\"\"\n 合并扫描结果并去重（高性能流式处理）\n\n 使用 LC_ALL=C sort -u 直接处理多文件，排序去重一步完成。\n\n Args:\n result_files: 结果文件路径列表\n result_dir: 结果目录\n\n Returns:\n 去重后的域名文件路径\n\n Raises:\n RuntimeError: 处理失败\n \"\"\"\n logger.info(\"开始合并并去重 %d 个结果文件\", len(result_files))\n\n valid_files = _validate_input_files(result_files)\n if not valid_files:\n raise RuntimeError(\"所有结果文件都不存在\")\n\n # 生成输出文件路径\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n short_uuid = uuid.uuid4().hex[:4]\n merged_file = Path(result_dir) / f\"merged_{timestamp}_{short_uuid}.txt\"\n\n # 计算超时时间\n total_lines = sum(_count_file_lines(f) for f in valid_files)\n timeout = _calculate_timeout(total_lines)\n logger.info(\"合并去重: 输入总行数=%d, timeout=%d秒\", total_lines, timeout)\n\n # 执行合并去重命令\n cmd = f\"LC_ALL=C sort -u {' '.join(valid_files)} -o {merged_file}\"\n logger.debug(\"执行命令: %s\", cmd)\n\n try:\n subprocess.run(cmd, shell=True, check=True, timeout=timeout)\n except subprocess.TimeoutExpired as exc:\n raise RuntimeError(\"合并去重超时，请检查数据量或系统资源\") from exc\n except subprocess.CalledProcessError as exc:\n raise RuntimeError(f\"系统命令执行失败: {exc.stderr or exc}\") from exc\n\n # 验证输出文件\n if not merged_file.exists():\n raise RuntimeError(\"合并文件未被创建\")\n\n unique_count = _count_file_lines(str(merged_file))\n if unique_count == 0:\n # 降级为 Python 统计\n with open(merged_file, 'r', encoding='utf-8') as f:\n unique_count = sum(1 for _ in f)\n\n if unique_count == 0:\n raise RuntimeError(\"未找到任何有效域名\")\n\n file_size_kb = merged_file.stat().st_size / 1024\n logger.info(\"✓ 合并去重完成 - 去重后: %d 个域名, 文件大小: %.2f KB\", unique_count, file_size_kb)\n\n return str(merged_file)\n" }, { "path": "backend/apps/scan/tasks/subdomain_discovery/run_subdomain_discovery_task.py", "content": "\"\"\"\n运行扫描工具任务\n\n负责运行单个子域名扫描工具（subfinder、sublist3r 等）\n\"\"\"\n\nimport logging\nfrom pathlib import Path\nfrom prefect import task\nfrom apps.scan.utils import execute_and_wait\n\nlogger = logging.getLogger(__name__)\n\n\n@task(\n name='run_subdomain_discovery',\n retries=0, # 显式禁用重试\n log_prints=True\n)\ndef run_subdomain_discovery_task(\n tool: str,\n command: str,\n timeout: int,\n output_file: str\n) -> str:\n \"\"\"\n 运行单个子域名发现工具\n \n Args:\n tool: 子域名发现工具名称（用于日志）\n command: 完整的扫描命令（已由 Flow 层使用命令构建器生成）\n timeout: 命令执行超时时间（秒）\n output_file: 输出文件完整路径（由 Flow 层生成，包含目录和文件名）\n \n Returns:\n str: 结果文件路径\n \n Raises:\n ValueError: 参数验证失败\n RuntimeError: 扫描执行失败\n \n Note:\n - 扫描结果通过工具的 -o 参数写入结果文件\n - 使用通用的 run_scan_command 函数执行扫描\n - 日志文件统一随 workspace 管理，默认保留 7 天自动清理\n - 文件命名格式：{tool}_{timestamp}_{uuid4}.txt\n - 示例：subfinder_20250116_142200_a3f2.txt, subfinder_20250116_142200_a3f2.log\n \"\"\"\n # 准备路径\n output_file_path = Path(output_file)\n log_file = str(output_file_path.with_suffix('.log'))\n \n # 使用通用的扫描命令执行器\n try:\n result = execute_and_wait(\n tool_name=tool,\n command=command,\n timeout=timeout,\n log_file=log_file # 明确指定日志文件路径\n )\n\n # 验证输出文件是否生成\n if not output_file_path.exists():\n logger.warning(\n \"扫描工具 %s 未生成结果文件: %s (returncode: %d)\",\n tool, str(output_file_path), result['returncode'] # 强制转换为字符串\n )\n return \"\"\n \n # 检查文件大小\n file_size = output_file_path.stat().st_size\n if file_size == 0:\n logger.warning(\"扫描工具 %s 生成的结果文件为空: %s\", tool, output_file_path)\n return \"\" # 空文件视为无效结果，与未生成文件的行为一致\n \n logger.info(\n \"✓ 扫描完成: %s - 结果文件: %s (%.2f KB)\",\n tool, str(output_file_path), file_size / 1024 # 使用绝对路径\n )\n \n # 返回结果文件路径\n return str(output_file_path)\n \n except RuntimeError:\n # 直接向上抛出（已在 execute_and_wait 中记录日志）\n raise\n except Exception as e:\n error_msg = f\"扫描工具 {tool} 执行异常: {e}\"\n logger.error(error_msg, exc_info=True)\n raise\n" }, { "path": "backend/apps/scan/tasks/subdomain_discovery/save_domains_task.py", "content": "\"\"\"\n保存域名任务\n\n负责将验证后的域名批量保存到数据库\n\"\"\"\n\nimport logging\nimport time\nfrom pathlib import Path\nfrom prefect import task\nfrom typing import List\nfrom dataclasses import dataclass\nfrom django.db import IntegrityError, OperationalError, DatabaseError\n\nfrom apps.asset.services.snapshot import SubdomainSnapshotsService\nfrom apps.common.validators import validate_domain\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"\n Service 集合，用于依赖注入\n \n 封装所有需要的 Service 实例，便于测试和管理。\n \"\"\"\n snapshot: SubdomainSnapshotsService\n \n @classmethod\n def create_default(cls) -> 'ServiceSet':\n \"\"\"创建默认的 Service 集合\"\"\"\n return cls(\n snapshot=SubdomainSnapshotsService()\n )\n\n\n@task(\n name='save_domains',\n retries=0,\n log_prints=True\n)\ndef save_domains_task(\n domains_file: str,\n scan_id: int,\n target_id: int = None,\n batch_size: int = 1000\n) -> dict:\n \"\"\"\n 流式批量保存域名到数据库\n \n Args:\n domains_file: 域名文件路径（流式读取）\n scan_id: 扫描任务 ID\n target_id: 目标 ID（可选）\n batch_size: 批量保存大小\n \n Returns:\n dict: {\n 'processed_records': int # 处理的域名总数（不是实际创建数）\n }\n \n Raises:\n ValueError: 参数验证失败（target_id为None或路径不是文件）\n FileNotFoundError: 域名文件不存在\n RuntimeError: 数据库操作失败\n IOError: 文件读取失败\n \n Performance:\n - 流式读取文件，边读边保存\n - 内存占用恒定（只存储一个 batch）\n - 默认batch_size=1000(平衡性能和内存)\n - 批次失败自动重试\n \n Note:\n 由于使用 ignore_conflicts，无法返回实际创建的数量\n \"\"\"\n logger.info(\"开始从文件流式保存域名到数据库: %s\", domains_file)\n \n # 参数验证\n if target_id is None:\n raise ValueError(\"target_id 不能为 None，必须指定目标ID\")\n \n # 文件验证\n file_path = Path(domains_file)\n if not file_path.exists():\n raise FileNotFoundError(f\"域名文件不存在: {domains_file}\")\n if not file_path.is_file():\n raise ValueError(f\"路径不是文件: {domains_file}\")\n \n batch_num = 0\n failed_batches = [] # 记录失败的批次\n total_domains = 0 # 总域名数\n \n # 初始化 Service 集合（依赖注入）\n services = ServiceSet.create_default()\n \n try:\n # 流式读取并分批保存\n batch = []\n \n with open(domains_file, 'r', encoding='utf-8') as f:\n for line in f:\n domain = line.strip()\n \n # 验证域名格式（包含空行检查）\n try:\n validate_domain(domain)\n except ValueError as e:\n logger.warning(\"跳过无效域名: %s - %s\", domain, e)\n continue\n \n # 只有通过验证的域名才添加到批次和计数\n # 注意：不在此处过滤黑名单，最大化资产发现\n batch.append(domain)\n total_domains += 1\n \n # 达到批次大小，执行保存\n if len(batch) >= batch_size:\n batch_num += 1\n result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services)\n if not result['success']:\n failed_batches.append(batch_num)\n logger.warning(\"批次 %d 保存失败，已记录\", batch_num)\n \n batch = [] # 清空批次\n \n # 每20个批次输出进度(减少日志开销)\n if batch_num % 20 == 0:\n logger.info(\"进度: 已处理 %d 批次，%d 个域名\", batch_num, total_domains)\n \n # 保存最后一批（可能不足 batch_size）\n if batch:\n batch_num += 1\n result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services)\n if not result['success']:\n failed_batches.append(batch_num)\n \n # 输出最终统计\n if failed_batches:\n error_msg = (\n f\"保存域名时出现失败批次，处理域名: {total_domains}，\"\n f\"失败批次: {failed_batches}\"\n )\n logger.error(error_msg)\n raise RuntimeError(error_msg)\n \n logger.info(\"✓ 保存完成 - 处理域名: %d（%d 批次）\", total_domains, batch_num)\n \n return {\n 'processed_records': total_domains\n }\n \n except (IntegrityError, OperationalError, DatabaseError) as e:\n error_msg = f\"数据库操作失败: {e}\"\n logger.error(error_msg)\n raise RuntimeError(error_msg) from e\n \n except IOError as e:\n error_msg = f\"文件读取失败: {e}\"\n logger.error(error_msg)\n raise RuntimeError(error_msg) from e\n \n except Exception as e:\n error_msg = f\"保存域名失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise\n\n\ndef _save_batch_with_retry(\n batch: List[str], \n scan_id: int, \n target_id: int, \n batch_num: int, \n services: ServiceSet,\n max_retries: int = 3\n) -> dict:\n \"\"\"\n 保存一个批次的域名（带重试机制）\n \n Args:\n batch: 域名批次\n scan_id: 扫描ID\n target_id: 目标ID\n batch_num: 批次编号\n services: Service 集合（依赖注入）\n max_retries: 最大重试次数\n \n Returns:\n dict: {'success': bool}\n \n Strategy:\n 使用 bulk_create + ignore_conflicts\n - 新域名：插入 (INSERT)\n - 重复域名：忽略（不更新，因为没有探测数据）\n \"\"\"\n # 调试日志：记录传入的参数\n logger.info(f\"[调试] _save_batch_with_retry 接收的参数: scan_id={scan_id}, target_id={target_id}, batch_size={len(batch)}\")\n \n # 使用快照 DTO（包含完整的业务上下文）\n from apps.asset.dtos import SubdomainSnapshotDTO\n items = [\n SubdomainSnapshotDTO(\n name=domain,\n scan_id=scan_id,\n target_id=target_id # 包含 target_id\n )\n for domain in batch\n ]\n \n # 调试日志：记录第一个DTO的内容\n if items:\n first_item = items[0]\n logger.info(f\"[调试] 第一个 SubdomainSnapshotDTO: name={first_item.name}, scan_id={first_item.scan_id}, target_id={first_item.target_id}\")\n \n for attempt in range(max_retries):\n try:\n # DTO 已包含 target_id，无需额外传参\n services.snapshot.save_and_sync(items)\n logger.debug(\"批次 %d: 已处理 %d 个域名\", batch_num, len(batch))\n return {'success': True}\n \n except (OperationalError, DatabaseError) as e:\n # 数据库连接/操作错误，可重试\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt # 指数退避: 1s, 2s, 4s\n logger.warning(\"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\", \n batch_num, attempt + 1, wait_time, str(e)[:100])\n time.sleep(wait_time)\n else:\n logger.error(\"批次 %d 保存失败（已重试 %d 次）: %s\", batch_num, max_retries, e)\n return {'success': False}\n \n except IntegrityError as e:\n # 数据完整性错误，不应重试\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {'success': False}\n \n except Exception as e:\n # 其他未知错误\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n return {'success': False}\n \n return {'success': False}\n" }, { "path": "backend/apps/scan/tasks/tests/test_task_backward_compatibility.py", "content": "\"\"\"\nTask 向后兼容性测试\n\nProperty 8: Task Backward Compatibility\n*For any* 任务调用，当仅提供 target_id 参数时，任务应该创建 DatabaseTargetProvider \n并使用它进行数据访问，行为与改造前一致。\n\n**Validates: Requirements 6.1, 6.2, 6.4, 6.5**\n\"\"\"\n\nimport tempfile\nimport pytest\nfrom pathlib import Path\nfrom unittest.mock import patch, MagicMock\nfrom hypothesis import given, strategies as st, settings\n\nfrom apps.scan.tasks.port_scan.export_hosts_task import export_hosts_task\nfrom apps.scan.tasks.site_scan.export_site_urls_task import export_site_urls_task\nfrom apps.scan.providers import ListTargetProvider\n\n\n# 生成有效域名的策略\ndef valid_domain_strategy():\n \"\"\"生成有效的域名\"\"\"\n label = st.text(\n alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122),\n min_size=2,\n max_size=10\n )\n return st.builds(\n lambda a, b, c: f\"{a}.{b}.{c}\",\n label, label, st.sampled_from(['com', 'net', 'org', 'io'])\n )\n\n\nclass TestExportHostsTaskBackwardCompatibility:\n \"\"\"export_hosts_task 向后兼容性测试\"\"\"\n \n @given(\n target_id=st.integers(min_value=1, max_value=1000),\n hosts=st.lists(valid_domain_strategy(), min_size=1, max_size=10)\n )\n @settings(max_examples=50, deadline=None)\n def test_property_8_legacy_mode_creates_database_provider(self, target_id, hosts):\n \"\"\"\n Property 8: Task Backward Compatibility (export_hosts_task)\n \n Feature: scan-target-provider, Property 8: Task Backward Compatibility\n **Validates: Requirements 6.1, 6.2, 6.4, 6.5**\n \n For any target_id, when calling export_hosts_task with only target_id,\n it should create a DatabaseTargetProvider and use it for data access.\n \"\"\"\n with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:\n output_file = f.name\n \n try:\n # Mock Target 和 SubdomainService\n mock_target = MagicMock()\n mock_target.type = 'domain'\n mock_target.name = hosts[0]\n \n with patch('apps.scan.tasks.port_scan.export_hosts_task.DatabaseTargetProvider') as mock_provider_class, \\\n patch('apps.targets.services.TargetService') as mock_target_service:\n \n # 创建 mock provider 实例\n mock_provider = MagicMock()\n mock_provider.iter_hosts.return_value = iter(hosts)\n mock_provider.get_blacklist_filter.return_value = None\n mock_provider_class.return_value = mock_provider\n \n # Mock TargetService\n mock_target_service.return_value.get_target.return_value = mock_target\n \n # 调用任务（传统模式：只传 target_id）\n result = export_hosts_task(\n output_file=output_file,\n target_id=target_id\n )\n \n # 验证：应该创建了 DatabaseTargetProvider\n mock_provider_class.assert_called_once_with(target_id=target_id)\n \n # 验证：返回值包含必需字段\n assert result['success'] is True\n assert result['output_file'] == output_file\n assert result['total_count'] == len(hosts)\n assert 'target_type' in result # 传统模式应该返回 target_type\n \n # 验证：文件内容正确\n with open(output_file, 'r') as f:\n lines = [line.strip() for line in f.readlines()]\n assert lines == hosts\n \n finally:\n Path(output_file).unlink(missing_ok=True)\n \n def test_legacy_mode_with_provider_parameter(self):\n \"\"\"测试当同时提供 target_id 和 provider 时，provider 优先\"\"\"\n with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:\n output_file = f.name\n \n try:\n hosts = ['example.com', 'test.com']\n provider = ListTargetProvider(targets=hosts)\n \n # 调用任务（同时提供 target_id 和 provider）\n result = export_hosts_task(\n output_file=output_file,\n target_id=123, # 应该被忽略\n provider=provider\n )\n \n # 验证：使用了 provider\n assert result['success'] is True\n assert result['total_count'] == len(hosts)\n assert 'target_type' not in result # Provider 模式不返回 target_type\n \n # 验证：文件内容正确\n with open(output_file, 'r') as f:\n lines = [line.strip() for line in f.readlines()]\n assert lines == hosts\n \n finally:\n Path(output_file).unlink(missing_ok=True)\n \n def test_error_when_no_parameters(self):\n \"\"\"测试当 target_id 和 provider 都未提供时抛出错误\"\"\"\n with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:\n output_file = f.name\n \n try:\n with pytest.raises(ValueError, match=\"必须提供 target_id 或 provider 参数之一\"):\n export_hosts_task(output_file=output_file)\n \n finally:\n Path(output_file).unlink(missing_ok=True)\n\n\nclass TestExportSiteUrlsTaskBackwardCompatibility:\n \"\"\"export_site_urls_task 向后兼容性测试\"\"\"\n \n def test_property_8_legacy_mode_uses_traditional_logic(self):\n \"\"\"\n Property 8: Task Backward Compatibility (export_site_urls_task)\n \n Feature: scan-target-provider, Property 8: Task Backward Compatibility\n **Validates: Requirements 6.1, 6.2, 6.4, 6.5**\n \n When calling export_site_urls_task with only target_id,\n it should use the traditional logic (_export_site_urls_legacy).\n \"\"\"\n with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:\n output_file = f.name\n \n try:\n target_id = 123\n \n # Mock HostPortMappingService\n mock_associations = [\n {'host': 'example.com', 'port': 80},\n {'host': 'test.com', 'port': 443},\n ]\n \n with patch('apps.scan.tasks.site_scan.export_site_urls_task.HostPortMappingService') as mock_service_class, \\\n patch('apps.scan.tasks.site_scan.export_site_urls_task.BlacklistService') as mock_blacklist_service:\n \n # Mock HostPortMappingService\n mock_service = MagicMock()\n mock_service.iter_host_port_by_target.return_value = iter(mock_associations)\n mock_service_class.return_value = mock_service\n \n # Mock BlacklistService\n mock_blacklist = MagicMock()\n mock_blacklist.get_rules.return_value = []\n mock_blacklist_service.return_value = mock_blacklist\n \n # 调用任务（传统模式：只传 target_id）\n result = export_site_urls_task(\n output_file=output_file,\n target_id=target_id\n )\n \n # 验证：返回值包含传统模式的字段\n assert result['success'] is True\n assert result['output_file'] == output_file\n assert result['total_urls'] == 2 # 80 端口生成 1 个 URL，443 端口生成 1 个 URL\n assert 'association_count' in result # 传统模式应该返回 association_count\n assert result['association_count'] == 2\n assert result['source'] == 'host_port'\n \n # 验证：文件内容正确\n with open(output_file, 'r') as f:\n lines = [line.strip() for line in f.readlines()]\n assert 'http://example.com' in lines\n assert 'https://test.com' in lines\n \n finally:\n Path(output_file).unlink(missing_ok=True)\n \n def test_provider_mode_uses_provider_logic(self):\n \"\"\"测试当提供 provider 时使用 Provider 模式\"\"\"\n with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:\n output_file = f.name\n \n try:\n urls = ['https://example.com', 'https://test.com']\n provider = ListTargetProvider(targets=urls)\n \n # 调用任务（Provider 模式）\n result = export_site_urls_task(\n output_file=output_file,\n provider=provider\n )\n \n # 验证：使用了 provider\n assert result['success'] is True\n assert result['total_urls'] == len(urls)\n assert 'association_count' not in result # Provider 模式不返回 association_count\n assert result['source'] == 'provider'\n \n # 验证：文件内容正确\n with open(output_file, 'r') as f:\n lines = [line.strip() for line in f.readlines()]\n assert lines == urls\n \n finally:\n Path(output_file).unlink(missing_ok=True)\n \n def test_error_when_no_parameters(self):\n \"\"\"测试当 target_id 和 provider 都未提供时抛出错误\"\"\"\n with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f:\n output_file = f.name\n \n try:\n with pytest.raises(ValueError, match=\"必须提供 target_id 或 provider 参数之一\"):\n export_site_urls_task(output_file=output_file)\n \n finally:\n Path(output_file).unlink(missing_ok=True)\n" }, { "path": "backend/apps/scan/tasks/url_fetch/__init__.py", "content": "\"\"\"\nURL 获取任务模块\n\n包含 URL 获取相关的所有原子任务：\n- export_sites_task: 导出站点 URL 列表（用于 katana 等爬虫）\n- run_url_fetcher_task: 执行 URL 获取工具\n- merge_and_deduplicate_urls_task: 合并去重 URL\n- clean_urls_task: 使用 uro 清理 URL\n- save_urls_task: 保存 URL 到数据库\n- run_and_stream_save_urls_task: 流式验证并保存存活的 URL\n\"\"\"\n\nfrom .export_sites_task import export_sites_task\nfrom .run_url_fetcher_task import run_url_fetcher_task\nfrom .merge_and_deduplicate_urls_task import merge_and_deduplicate_urls_task\nfrom .clean_urls_task import clean_urls_task\nfrom .save_urls_task import save_urls_task\nfrom .run_and_stream_save_urls_task import run_and_stream_save_urls_task\n\n__all__ = [\n 'export_sites_task',\n 'run_url_fetcher_task',\n 'merge_and_deduplicate_urls_task',\n 'clean_urls_task',\n 'save_urls_task',\n 'run_and_stream_save_urls_task',\n]\n" }, { "path": "backend/apps/scan/tasks/url_fetch/clean_urls_task.py", "content": "\"\"\"\nURL 清理任务\n\n使用 uro 工具清理合并后的 URL 列表：\n- 去除重复和相似的 URL\n- 根据扩展名过滤（whitelist/blacklist）\n- 智能过滤无效 URL\n\"\"\"\n\nimport logging\nimport subprocess\nfrom pathlib import Path\nfrom datetime import datetime\nfrom prefect import task\nfrom typing import Optional\n\nfrom apps.scan.utils import execute_and_wait\n\nlogger = logging.getLogger(__name__)\n\n\n@task(\n name='clean_urls_with_uro',\n retries=1,\n log_prints=True\n)\ndef clean_urls_task(\n input_file: str,\n output_dir: str,\n timeout: int = 60,\n whitelist: Optional[list] = None,\n blacklist: Optional[list] = None,\n filters: Optional[list] = None\n) -> dict:\n \"\"\"\n 使用 uro 清理 URL 列表\n \n Args:\n input_file: 输入的 URL 文件路径\n output_dir: 输出目录\n timeout: 超时时间（秒）\n whitelist: 只保留指定扩展名的 URL\n blacklist: 排除指定扩展名的 URL\n filters: 额外的过滤规则\n \n Returns:\n dict: {\n 'success': bool,\n 'output_file': str,\n 'input_count': int,\n 'output_count': int,\n 'removed_count': int\n }\n \"\"\"\n input_path = Path(input_file)\n output_path = Path(output_dir)\n \n # 1. 验证输入文件\n if not input_path.exists():\n logger.error(\"输入文件不存在: %s\", input_file)\n return {\n 'success': False,\n 'output_file': input_file,\n 'input_count': 0,\n 'output_count': 0,\n 'removed_count': 0,\n 'error': '输入文件不存在'\n }\n \n # 2. 统计输入 URL 数量\n try:\n result = subprocess.run(\n ['wc', '-l', str(input_path)],\n capture_output=True,\n text=True,\n check=True\n )\n input_count = int(result.stdout.strip().split()[0])\n except Exception as e:\n logger.warning(\"统计输入文件行数失败: %s\", e)\n input_count = 0\n with open(input_path, 'r') as f:\n input_count = sum(1 for line in f if line.strip())\n \n if input_count == 0:\n logger.warning(\"输入文件为空，跳过 uro 清理\")\n return {\n 'success': True,\n 'output_file': input_file,\n 'input_count': 0,\n 'output_count': 0,\n 'removed_count': 0\n }\n \n logger.info(\"开始 uro 清理 - 输入 URL 数: %d\", input_count)\n \n # 3. 生成输出文件路径\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n output_file = output_path / f\"urls_cleaned_{timestamp}.txt\"\n \n # 4. 构建 uro 命令\n cmd_parts = ['uro', '-i', str(input_path), '-o', str(output_file)]\n \n if whitelist:\n cmd_parts.extend(['-w'] + [str(w) for w in whitelist])\n \n if blacklist:\n cmd_parts.extend(['-b'] + [str(b) for b in blacklist])\n \n if filters:\n cmd_parts.extend(['-f'] + [str(f) for f in filters])\n \n # 5. 构建命令字符串\n command = ' '.join(cmd_parts)\n log_file = str(output_path / f\"uro_{timestamp}.log\")\n \n logger.debug(\"uro 命令: %s\", command)\n \n # 6. 使用 execute_and_wait 执行（会自动发送通知）\n try:\n result = execute_and_wait(\n tool_name='uro',\n command=command,\n timeout=timeout,\n log_file=log_file\n )\n \n if result['returncode'] != 0:\n logger.warning(\n \"uro 返回非零状态码: %d\",\n result['returncode']\n )\n # uro 可能正常完成但返回非零，检查输出文件\n if not output_file.exists():\n return {\n 'success': False,\n 'output_file': input_file,\n 'input_count': input_count,\n 'output_count': input_count,\n 'removed_count': 0,\n 'error': f'uro 执行失败 (returncode: {result[\"returncode\"]})'\n }\n \n except RuntimeError as e:\n # execute_and_wait 超时或执行失败会抛出 RuntimeError\n logger.error(\"uro 执行失败: %s\", e)\n return {\n 'success': False,\n 'output_file': input_file,\n 'input_count': input_count,\n 'output_count': input_count,\n 'removed_count': 0,\n 'error': str(e)\n }\n except Exception as e:\n logger.error(\"uro 执行异常: %s\", e)\n return {\n 'success': False,\n 'output_file': input_file,\n 'input_count': input_count,\n 'output_count': input_count,\n 'removed_count': 0,\n 'error': str(e)\n }\n \n # 7. 统计清理后的 URL 数量\n output_count = 0\n if output_file.exists():\n try:\n result = subprocess.run(\n ['wc', '-l', str(output_file)],\n capture_output=True,\n text=True,\n check=True\n )\n output_count = int(result.stdout.strip().split()[0])\n except Exception:\n with open(output_file, 'r') as f:\n output_count = sum(1 for line in f if line.strip())\n else:\n logger.warning(\"uro 未生成输出文件，使用原始文件\")\n return {\n 'success': False,\n 'output_file': input_file,\n 'input_count': input_count,\n 'output_count': input_count,\n 'removed_count': 0,\n 'error': '未生成输出文件'\n }\n \n removed_count = input_count - output_count\n \n logger.info(\n \"✓ uro 清理完成 - 输入: %d, 输出: %d, 移除: %d (%.1f%%)\",\n input_count, output_count, removed_count,\n (removed_count / input_count * 100) if input_count > 0 else 0\n )\n \n return {\n 'success': True,\n 'output_file': str(output_file),\n 'input_count': input_count,\n 'output_count': output_count,\n 'removed_count': removed_count\n }\n" }, { "path": "backend/apps/scan/tasks/url_fetch/export_sites_task.py", "content": "\"\"\"\n导出站点 URL 列表任务\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库导出\n2. Provider 模式：使用 TargetProvider 从任意数据源导出\n\n数据源: WebSite.url → Default（用于 katana 等爬虫工具）\n\"\"\"\n\nimport logging\nfrom typing import Optional\nfrom pathlib import Path\nfrom prefect import task\n\nfrom apps.scan.services.target_export_service import (\n export_urls_with_fallback,\n DataSource,\n)\nfrom apps.scan.providers import TargetProvider, DatabaseTargetProvider\n\nlogger = logging.getLogger(__name__)\n\n\n@task(\n name='export_sites_for_url_fetch',\n retries=1,\n log_prints=True\n)\ndef export_sites_task(\n output_file: str,\n target_id: Optional[int] = None,\n scan_id: Optional[int] = None,\n provider: Optional[TargetProvider] = None,\n batch_size: int = 1000\n) -> dict:\n \"\"\"\n 导出站点 URL 列表到文件（用于 katana 等爬虫工具）\n \n 支持两种模式：\n 1. 传统模式（向后兼容）：传入 target_id，从数据库导出\n 2. Provider 模式：传入 provider，从任意数据源导出\n \n 数据源优先级（回退链，仅传统模式）：\n 1. WebSite 表 - 站点级别 URL\n 2. 默认生成 - 根据 Target 类型生成 http(s)://target_name\n \n Args:\n output_file: 输出文件路径\n target_id: 目标 ID（传统模式，向后兼容）\n scan_id: 扫描 ID（保留参数，兼容旧调用）\n provider: TargetProvider 实例（新模式）\n batch_size: 批次大小（内存优化）\n \n Returns:\n dict: {\n 'output_file': str, # 输出文件路径\n 'asset_count': int, # 资产数量\n }\n \n Raises:\n ValueError: 参数错误\n RuntimeError: 执行失败\n \"\"\"\n # 参数验证：至少提供一个\n if target_id is None and provider is None:\n raise ValueError(\"必须提供 target_id 或 provider 参数之一\")\n \n # Provider 模式：使用 TargetProvider 导出\n if provider is not None:\n logger.info(\"使用 Provider 模式 - Provider: %s\", type(provider).__name__)\n return _export_with_provider(output_file, provider)\n \n # 传统模式：使用 export_urls_with_fallback\n logger.info(\"使用传统模式 - Target ID: %d\", target_id)\n result = export_urls_with_fallback(\n target_id=target_id,\n output_file=output_file,\n sources=[DataSource.WEBSITE, DataSource.DEFAULT],\n batch_size=batch_size,\n )\n \n logger.info(\n \"站点 URL 导出完成 - source=%s, count=%d\",\n result['source'], result['total_count']\n )\n \n # 保持返回值格式不变（向后兼容）\n return {\n 'output_file': result['output_file'],\n 'asset_count': result['total_count'],\n }\n\n\ndef _export_with_provider(output_file: str, provider: TargetProvider) -> dict:\n \"\"\"使用 Provider 导出 URL\"\"\"\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n total_count = 0\n blacklist_filter = provider.get_blacklist_filter()\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for url in provider.iter_urls():\n # 应用黑名单过滤（如果有）\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n \n f.write(f\"{url}\\n\")\n total_count += 1\n \n if total_count % 1000 == 0:\n logger.info(\"已导出 %d 个 URL...\", total_count)\n \n logger.info(\"✓ URL 导出完成 - 总数: %d, 文件: %s\", total_count, str(output_path))\n \n return {\n 'output_file': str(output_path),\n 'asset_count': total_count,\n }\n" }, { "path": "backend/apps/scan/tasks/url_fetch/merge_and_deduplicate_urls_task.py", "content": "\"\"\"\n合并并去重 URL 任务\n\n合并多个工具的输出文件，去重并验证 URL 格式\n性能优化：使用系统命令处理大文件\n\"\"\"\n\nimport logging\nimport uuid\nimport subprocess\nfrom pathlib import Path\nfrom datetime import datetime\nfrom prefect import task\nfrom typing import List\n\nlogger = logging.getLogger(__name__)\n\n\n@task(\n name='merge_and_deduplicate_urls',\n retries=1,\n log_prints=True\n)\ndef merge_and_deduplicate_urls_task(\n result_files: List[str],\n result_dir: str\n) -> str:\n \"\"\"\n 合并扫描结果并去重（高性能流式处理）\n \n 流程：\n 1. 使用 LC_ALL=C sort -u 直接处理多文件\n 2. 排序去重一步完成\n 3. 返回去重后的 URL 文件路径\n \n Args:\n result_files: 结果文件路径列表\n result_dir: 结果目录\n \n Returns:\n str: 去重后的 URL 文件路径\n \n Raises:\n RuntimeError: 处理失败\n \"\"\"\n logger.info(\"开始合并并去重 %d 个结果文件（系统命令优化）\", len(result_files))\n\n result_path = Path(result_dir)\n\n # 验证文件存在性\n valid_files = []\n for file_path_str in result_files:\n file_path = Path(file_path_str)\n if file_path.exists():\n valid_files.append(str(file_path))\n else:\n logger.warning(\"结果文件不存在: %s\", file_path)\n\n if not valid_files:\n raise RuntimeError(\"所有结果文件都不存在\")\n\n # 生成输出文件路径\n timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n short_uuid = uuid.uuid4().hex[:4]\n merged_file = result_path / f\"merged_{timestamp}_{short_uuid}.txt\"\n\n try:\n # 使用系统命令一步完成: 排序去重\n cmd = f\"LC_ALL=C sort -u {' '.join(valid_files)} -o {merged_file}\"\n logger.debug(\"执行命令: %s\", cmd)\n\n # 按输入文件总行数动态计算超时时间\n total_lines = 0\n for file_path in valid_files:\n try:\n line_count_proc = subprocess.run(\n [\"wc\", \"-l\", file_path],\n check=True,\n capture_output=True,\n text=True,\n )\n total_lines += int(line_count_proc.stdout.strip().split()[0])\n except (subprocess.CalledProcessError, ValueError, IndexError):\n continue\n\n timeout = 3600\n if total_lines > 0:\n # 按行数线性计算：每行约 0.1 秒\n base_per_line = 0.1\n est = int(total_lines * base_per_line)\n timeout = max(600, est)\n\n logger.info(\n \"URL 合并去重 timeout 自动计算: 输入总行数=%d, timeout=%d秒\",\n total_lines,\n timeout,\n )\n\n result = subprocess.run(\n cmd,\n shell=True,\n check=True,\n timeout=timeout\n )\n\n logger.debug(\"✓ 合并去重完成\")\n\n # 统计结果\n if not merged_file.exists():\n raise RuntimeError(\"合并文件未被创建\")\n\n # 优先使用 wc -l 统计行数，大文件性能更好\n try:\n line_count_proc = subprocess.run(\n [\"wc\", \"-l\", str(merged_file)],\n check=True,\n capture_output=True,\n text=True,\n )\n unique_count = int(line_count_proc.stdout.strip().split()[0])\n except (subprocess.CalledProcessError, ValueError, IndexError) as e:\n logger.warning(\n \"wc -l 统计失败（文件: %s），降级为 Python 逐行统计 - 错误: %s\",\n merged_file,\n e,\n )\n unique_count = 0\n with open(merged_file, \"r\", encoding=\"utf-8\") as file_obj:\n for _ in file_obj:\n unique_count += 1\n\n if unique_count == 0:\n raise RuntimeError(\"未找到任何有效 URL\")\n\n file_size = merged_file.stat().st_size\n\n logger.info(\n \"✓ 合并去重完成 - 去重后: %d 个 URL, 文件大小: %.2f KB\",\n unique_count,\n file_size / 1024,\n )\n\n return str(merged_file)\n\n except subprocess.TimeoutExpired:\n error_msg = \"合并去重超时（>60分钟），请检查数据量或系统资源\"\n logger.warning(error_msg) # 超时是可预期的\n raise RuntimeError(error_msg)\n\n except subprocess.CalledProcessError as e:\n error_msg = f\"系统命令执行失败: {e.stderr if e.stderr else str(e)}\"\n logger.error(error_msg)\n raise RuntimeError(error_msg) from e\n\n except IOError as e:\n error_msg = f\"文件读写失败: {e}\"\n logger.error(error_msg)\n raise RuntimeError(error_msg) from e\n\n except Exception as e:\n error_msg = f\"合并去重失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise\n" }, { "path": "backend/apps/scan/tasks/url_fetch/run_and_stream_save_urls_task.py", "content": "\"\"\"\n基于 execute_stream 的流式 URL 验证任务\n\n主要功能：\n 1. 实时执行 httpx 命令验证 URL\n 2. 流式处理命令输出，解析 URL 信息\n 3. 批量保存到数据库（Endpoint 表）\n 4. 避免一次性加载所有 URL 到内存\n\n数据流向：\n httpx 命令执行 → 流式输出 → 实时解析 → 批量保存 → Endpoint 表\n \n优化策略：\n - 使用 execute_stream 实时处理输出\n - 流式处理避免内存溢出\n - 批量操作减少数据库交互\n - 保存所有有效 URL（包括 4xx/5xx，便于安全分析）\n\"\"\"\n\nimport logging\nimport json\nimport subprocess\nimport time\nfrom pathlib import Path\nfrom prefect import task\nfrom typing import Generator, Optional, Dict, Any\nfrom django.db import IntegrityError, OperationalError, DatabaseError\nfrom psycopg2 import InterfaceError\nfrom dataclasses import dataclass\nfrom urllib.parse import urlparse\n\nfrom apps.asset.services.snapshot import EndpointSnapshotsService\nfrom apps.scan.utils import execute_stream\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"\n Service 集合，用于依赖注入\n \n 提供 URL 验证所需的 Service 实例\n \"\"\"\n snapshot: EndpointSnapshotsService\n \n @classmethod\n def create_default(cls) -> \"ServiceSet\":\n \"\"\"创建默认的 Service 集合\"\"\"\n return cls(\n snapshot=EndpointSnapshotsService()\n )\n\n\ndef _sanitize_string(value: str) -> str:\n \"\"\"\n 清理字符串中的 NUL 字符和其他不可打印字符\n \n PostgreSQL 不允许字符串字段包含 NUL (0x00) 字符\n \"\"\"\n if not value:\n return value\n # 移除 NUL 字符\n return value.replace('\\x00', '')\n\n\ndef _extract_hostname(url: str) -> str:\n \"\"\"\n 从 URL 提取主机名\n \n Args:\n url: URL 字符串\n \n Returns:\n str: 提取的主机名（小写）\n \"\"\"\n try:\n if url:\n parsed = urlparse(url)\n if parsed.hostname:\n return parsed.hostname\n # 降级方案：手动提取\n return url.replace('http://', '').replace('https://', '').split('/')[0].split(':')[0]\n return ''\n except Exception as e:\n logger.debug(\"提取主机名失败: %s\", e)\n return ''\n\n\nclass HttpxRecord:\n \"\"\"httpx 扫描记录数据类\"\"\"\n \n def __init__(self, data: Dict[str, Any]):\n self.url = _sanitize_string(data.get('url', ''))\n self.input = _sanitize_string(data.get('input', ''))\n self.title = _sanitize_string(data.get('title', ''))\n self.status_code = data.get('status_code') # int，不需要清理\n self.content_length = data.get('content_length') # int，不需要清理\n self.content_type = _sanitize_string(data.get('content_type', ''))\n self.location = _sanitize_string(data.get('location', ''))\n self.webserver = _sanitize_string(data.get('webserver', ''))\n self.response_body = _sanitize_string(data.get('body', ''))\n self.tech = [_sanitize_string(t) for t in data.get('tech', []) if isinstance(t, str)] # 列表中的字符串也需要清理\n self.vhost = data.get('vhost') # bool，不需要清理\n self.failed = data.get('failed', False) # bool，不需要清理\n self.response_headers = _sanitize_string(data.get('raw_header', ''))\n \n # 从 URL 中提取主机名（优先使用 httpx 返回的 host，否则自动提取）\n httpx_host = _sanitize_string(data.get('host', ''))\n self.host = httpx_host if httpx_host else _extract_hostname(self.url)\n\n\ndef _parse_and_validate_line(line: str) -> Optional[HttpxRecord]:\n \"\"\"\n 解析并验证单行 httpx JSON 输出\n \n Args:\n line: 单行输出数据\n \n Returns:\n Optional[HttpxRecord]: 有效的 httpx 记录，或 None 如果验证失败\n \"\"\"\n try:\n # 清理 NUL 字符后再解析 JSON\n line = _sanitize_string(line)\n \n # 解析 JSON\n try:\n line_data = json.loads(line, strict=False)\n except json.JSONDecodeError:\n return None\n \n # 验证数据类型\n if not isinstance(line_data, dict):\n logger.info(\"跳过非字典数据\")\n return None\n \n # 创建记录\n record = HttpxRecord(line_data)\n \n # 验证必要字段\n if not record.url:\n logger.info(\"URL 为空，跳过 - 数据: %s\", str(line_data)[:200])\n return None\n \n return record\n \n except Exception:\n logger.info(\"跳过无法解析的行: %s\", line[:100] if line else 'empty')\n return None\n\n\ndef _parse_httpx_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> Generator[HttpxRecord, None, None]:\n \"\"\"\n 流式解析 httpx 命令输出\n \n Args:\n cmd: httpx 命令\n tool_name: 工具名称（'httpx'）\n cwd: 工作目录\n shell: 是否使用 shell 执行\n timeout: 命令执行超时时间（秒）\n log_file: 日志文件路径\n \n Yields:\n HttpxRecord: 每次 yield 一条存活的 URL 记录\n \"\"\"\n logger.info(\"开始流式解析 httpx 输出 - 命令: %s\", cmd)\n \n total_lines = 0\n error_lines = 0\n valid_records = 0\n \n try:\n # 使用 execute_stream 获取实时输出流\n for line in execute_stream(\n cmd=cmd, \n tool_name=tool_name, \n cwd=cwd, \n shell=shell, \n timeout=timeout, \n log_file=log_file\n ):\n total_lines += 1\n \n # 解析并验证单行数据\n record = _parse_and_validate_line(line)\n if record is None:\n error_lines += 1\n continue\n \n valid_records += 1\n # yield 一条有效记录（存活的 URL）\n yield record\n \n # 每处理 100 条记录输出一次进度\n if valid_records % 100 == 0:\n logger.info(\"已解析 %d 条存活的 URL...\", valid_records)\n \n except subprocess.TimeoutExpired as e:\n error_msg = f\"流式解析命令输出超时 - 命令执行超过 {timeout} 秒\"\n logger.warning(error_msg) # 超时是可预期的，使用 warning 级别\n raise RuntimeError(error_msg) from e\n except Exception as e:\n logger.error(\"流式解析命令输出失败: %s\", e, exc_info=True)\n raise\n \n logger.info(\n \"流式解析完成 - 总行数: %d, 存活 URL: %d, 无效/死链: %d\", \n total_lines, valid_records, error_lines\n )\n\n\ndef _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None:\n \"\"\"\n 验证任务参数的有效性\n \n Args:\n cmd: 扫描命令\n target_id: 目标ID\n scan_id: 扫描ID\n cwd: 工作目录\n \n Raises:\n ValueError: 参数验证失败\n \"\"\"\n if not cmd or not cmd.strip():\n raise ValueError(\"扫描命令不能为空\")\n \n if target_id is None:\n raise ValueError(\"target_id 不能为 None，必须指定目标ID\")\n \n if scan_id is None:\n raise ValueError(\"scan_id 不能为 None，必须指定扫描ID\")\n \n # 验证工作目录（如果指定）\n if cwd and not Path(cwd).exists():\n raise ValueError(f\"工作目录不存在: {cwd}\")\n\n\ndef _build_final_result(stats: dict) -> dict:\n \"\"\"\n 构建最终结果并输出日志\n \n Args:\n stats: 处理统计信息\n \n Returns:\n dict: 最终结果\n \"\"\"\n logger.info(\n \"✓ URL 验证任务完成 - 处理记录: %d（%d 批次），创建端点: %d，跳过（失败）: %d\",\n stats['processed_records'], stats['batch_count'], stats['created_endpoints'],\n stats['skipped_failed']\n )\n \n # 如果没有创建任何记录，给出明确提示\n if stats['created_endpoints'] == 0:\n logger.warning(\n \"⚠️ 没有创建任何端点记录！可能原因：1) 命令输出格式问题 2) 重复数据被忽略 3) 所有请求都失败\"\n )\n \n return {\n 'processed_records': stats['processed_records'],\n 'created_endpoints': stats['created_endpoints'],\n 'skipped_failed': stats['skipped_failed']\n }\n\n\ndef _cleanup_resources(data_generator) -> None:\n \"\"\"\n 清理任务资源\n \n Args:\n data_generator: 数据生成器\n \"\"\"\n # 确保生成器被正确关闭\n if data_generator is not None:\n try:\n data_generator.close()\n logger.debug(\"已关闭数据生成器\")\n except Exception as gen_close_error:\n logger.error(\"关闭生成器时出错: %s\", gen_close_error)\n\n\ndef _save_batch_with_retry(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n max_retries: int = 3\n) -> dict:\n \"\"\"\n 保存一个批次的 URL（带重试机制）\n \n Args:\n batch: 数据批次\n scan_id: 扫描任务ID\n target_id: 目标ID\n batch_num: 批次编号\n services: Service 集合\n max_retries: 最大重试次数\n \n Returns:\n dict: {\n 'success': bool,\n 'created_endpoints': int,\n 'skipped_failed': int\n }\n \"\"\"\n for attempt in range(max_retries):\n try:\n stats = _save_batch(batch, scan_id, target_id, batch_num, services)\n return {\n 'success': True,\n 'created_endpoints': stats.get('created_endpoints', 0),\n 'skipped_failed': stats.get('skipped_failed', 0)\n }\n\n except IntegrityError as e:\n # 唯一约束等数据完整性错误通常意味着重复数据，这里记录错误但不让整个扫描失败\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {\n 'success': False,\n 'created_endpoints': 0,\n 'skipped_failed': 0\n }\n\n except (OperationalError, DatabaseError, InterfaceError) as e:\n # 数据库级错误（连接中断、表结构不匹配等）：按指数退避重试，最终失败时抛出异常让 Flow 失败\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt\n logger.warning(\n \"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\",\n batch_num, attempt + 1, wait_time, str(e)[:100]\n )\n time.sleep(wait_time)\n else:\n logger.error(\n \"批次 %d 保存失败（已重试 %d 次），将终止任务: %s\",\n batch_num,\n max_retries,\n e,\n exc_info=True,\n )\n # 让上层 Task 感知失败，从而标记整个扫描为失败\n raise\n\n except Exception as e:\n # 其他未知异常也不再吞掉，直接抛出以便 Flow 标记为失败\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n raise\n\n # 理论上不会走到这里，保留兜底返回值以满足类型约束\n return {\n 'success': False,\n 'created_endpoints': 0,\n 'skipped_failed': 0\n }\n\n\ndef _save_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet\n) -> dict:\n \"\"\"\n 保存一个批次的数据到数据库\n \n Args:\n batch: 数据批次，list of HttpxRecord\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n batch_num: 批次编号\n services: Service 集合\n \n Returns:\n dict: 包含创建和跳过记录的统计信息\n \"\"\"\n # 参数验证\n if not isinstance(batch, list):\n raise TypeError(f\"batch 必须是 list 类型，实际: {type(batch).__name__}\")\n \n if not batch:\n logger.debug(\"批次 %d 为空，跳过处理\", batch_num)\n return {\n 'created_endpoints': 0,\n 'skipped_failed': 0\n }\n \n # 统计变量\n skipped_failed = 0\n \n # 批量构造 Endpoint 快照 DTO\n from apps.asset.dtos.snapshot import EndpointSnapshotDTO\n \n snapshots = []\n for record in batch:\n # 跳过失败的请求\n if record.failed:\n skipped_failed += 1\n continue\n \n try:\n # Endpoint URL 直接使用原始值，不做标准化\n # 原因：Endpoint URL 来自 waymore/katana，包含路径和参数，标准化可能改变含义\n url = record.input if record.input else record.url\n \n # 提取 host 字段（域名或IP地址）\n host = record.host if record.host else ''\n \n dto = EndpointSnapshotDTO(\n scan_id=scan_id,\n target_id=target_id,\n url=url,\n host=host,\n title=record.title if record.title else '',\n status_code=record.status_code,\n content_length=record.content_length,\n location=record.location if record.location else '',\n webserver=record.webserver if record.webserver else '',\n content_type=record.content_type if record.content_type else '',\n tech=record.tech if isinstance(record.tech, list) else [],\n response_body=record.response_body if record.response_body else '',\n vhost=record.vhost if record.vhost else False,\n matched_gf_patterns=[],\n response_headers=record.response_headers if record.response_headers else '',\n )\n snapshots.append(dto)\n except Exception as e:\n logger.error(\"处理记录失败: %s，错误: %s\", record.url, e)\n continue\n \n if snapshots:\n try:\n # 通过快照服务统一保存快照并同步到资产表\n services.snapshot.save_and_sync(snapshots)\n count = len(snapshots)\n logger.info(\n \"批次 %d: 保存了 %d 个存活的 URL（共 %d 个，跳过失败: %d）\",\n batch_num, count, len(batch), skipped_failed\n )\n return {\n 'created_endpoints': count,\n 'skipped_failed': skipped_failed\n }\n except Exception as e:\n logger.error(\"批次 %d 批量保存失败: %s\", batch_num, e)\n raise\n \n return {\n 'created_endpoints': 0,\n 'skipped_failed': skipped_failed\n }\n\n\ndef _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None:\n \"\"\"\n 累加批次统计信息\n \n Args:\n total_stats: 总统计信息字典\n batch_result: 批次结果字典\n \"\"\"\n total_stats['created_endpoints'] += batch_result.get('created_endpoints', 0)\n total_stats['skipped_failed'] += batch_result.get('skipped_failed', 0)\n\n\ndef _process_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n total_stats: dict,\n failed_batches: list,\n services: ServiceSet\n) -> None:\n \"\"\"\n 处理单个批次\n \n Args:\n batch: 数据批次\n scan_id: 扫描ID\n target_id: 目标ID\n batch_num: 批次编号\n total_stats: 总统计信息\n failed_batches: 失败批次列表\n services: Service 集合（必须，依赖注入）\n \"\"\"\n result = _save_batch_with_retry(\n batch, scan_id, target_id, batch_num, services\n )\n \n # 累计统计信息（失败时可能有部分数据已保存）\n _accumulate_batch_stats(total_stats, result)\n \n if not result['success']:\n failed_batches.append(batch_num)\n logger.warning(\n \"批次 %d 保存失败，但已累计统计信息：创建端点=%d\",\n batch_num, result.get('created_endpoints', 0)\n )\n\n\ndef _process_records_in_batches(\n data_generator,\n scan_id: int,\n target_id: int,\n batch_size: int,\n services: ServiceSet\n) -> dict:\n \"\"\"\n 流式处理记录并分批保存\n \n Args:\n data_generator: 数据生成器\n scan_id: 扫描ID\n target_id: 目标ID\n batch_size: 批次大小\n services: Service 集合\n \n Returns:\n dict: 处理统计信息\n \n Raises:\n RuntimeError: 存在失败批次时抛出\n \"\"\"\n total_records = 0\n batch_num = 0\n failed_batches = []\n batch = []\n \n # 统计信息\n total_stats = {\n 'created_endpoints': 0,\n 'skipped_failed': 0\n }\n \n # 流式读取生成器并分批保存\n for record in data_generator:\n batch.append(record)\n total_records += 1\n \n # 达到批次大小，执行保存\n if len(batch) >= batch_size:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n batch = [] # 清空批次\n \n # 每 10 个批次输出进度\n if batch_num % 10 == 0:\n logger.info(\"进度: 已处理 %d 批次，%d 条记录\", batch_num, total_records)\n \n # 保存最后一批\n if batch:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n \n # 检查失败批次\n if failed_batches:\n error_msg = (\n f\"流式保存 URL 验证结果时出现失败批次，处理记录: {total_records}，\"\n f\"失败批次: {failed_batches}\"\n )\n logger.warning(error_msg)\n raise RuntimeError(error_msg)\n \n return {\n 'processed_records': total_records,\n 'batch_count': batch_num,\n **total_stats\n }\n\n\n@task(name=\"run_and_stream_save_urls\", retries=0)\ndef run_and_stream_save_urls_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n cwd: Optional[str] = None,\n shell: bool = False,\n batch_size: int = 100,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> dict:\n \"\"\"\n 执行 httpx 验证并流式保存存活的 URL\n \n 该任务将：\n 1. 验证输入参数\n 2. 初始化资源（缓存、生成器）\n 3. 流式处理记录并分批保存\n 4. 构建并返回结果统计\n \n Args:\n cmd: httpx 命令\n tool_name: 工具名称（'httpx'）\n scan_id: 扫描任务 ID\n target_id: 目标 ID\n cwd: 工作目录（可选）\n shell: 是否使用 shell 执行（默认 False）\n batch_size: 批次大小（默认 500）\n timeout: 超时时间（秒）\n log_file: 日志文件路径\n \n Returns:\n dict: {\n 'processed_records': int, # 处理的记录总数\n 'created_endpoints': int, # 创建的端点记录数\n 'skipped_failed': int, # 因请求失败跳过的记录数\n }\n \n Raises:\n ValueError: 参数验证失败\n RuntimeError: 命令执行或数据库操作失败\n subprocess.TimeoutExpired: 命令执行超时\n \"\"\"\n logger.info(\n \"开始执行流式 URL 验证任务 - target_id=%s, 超时=%s秒, 命令: %s\",\n target_id, timeout if timeout else '无限制', cmd\n )\n \n data_generator = None\n \n try:\n # 1. 验证参数\n _validate_task_parameters(cmd, target_id, scan_id, cwd)\n \n # 2. 初始化资源\n data_generator = _parse_httpx_stream_output(\n cmd, tool_name, cwd, shell, timeout, log_file\n )\n services = ServiceSet.create_default()\n \n # 3. 流式处理记录并分批保存\n stats = _process_records_in_batches(\n data_generator, scan_id, target_id, batch_size, services\n )\n \n # 4. 构建最终结果\n return _build_final_result(stats)\n \n except subprocess.TimeoutExpired:\n # 超时异常直接向上传播，保留异常类型\n logger.warning(\n \"⚠️ URL 验证任务超时 - target_id=%s, 超时=%s秒\",\n target_id, timeout\n )\n raise # 直接重新抛出，不包装\n \n except Exception as e:\n error_msg = f\"流式执行 URL 验证任务失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n \n finally:\n # 5. 清理资源\n _cleanup_resources(data_generator)\n" }, { "path": "backend/apps/scan/tasks/url_fetch/run_url_fetcher_task.py", "content": "\"\"\"\n执行 URL 获取工具任务\n\n负责运行单个 URL 获取工具（waymore、katana 等）。\n\n注意：\n- 输入文件（domains_file 或 sites_file）和命令的构建在 Flow 层完成\n- 任务内部只负责执行已经构建好的命令并校验 / 统计结果\n\"\"\"\n\nimport logging\nfrom pathlib import Path\nfrom prefect import task\nfrom apps.scan.utils import execute_and_wait\n\nlogger = logging.getLogger(__name__)\n\n\n@task(\n name='run_url_fetcher',\n retries=0, # 不重试，工具本身会处理\n log_prints=True\n)\ndef run_url_fetcher_task(\n tool_name: str,\n command: str,\n timeout: int,\n output_file: str\n) -> dict:\n \"\"\"\n 执行单个 URL 获取工具\n \n Args:\n tool_name: 工具名称\n command: 完整的命令字符串（由 Flow 层使用命令构建器生成）\n timeout: 命令执行超时时间（秒）\n output_file: 输出文件完整路径\n \n Returns:\n dict: {\n 'tool': str, # 工具名称\n 'output_file': str, # 输出文件路径\n 'url_count': int, # 发现的 URL 数量\n 'target_count': int, # 处理的目标数量（占位，始终为 1）\n 'success': bool\n }\n \"\"\"\n output_file_path = Path(output_file)\n log_file = str(output_file_path.with_suffix('.log'))\n\n try:\n logger.info(\"开始执行 URL 获取工具 %s\", tool_name)\n\n # 使用通用命令执行器\n result = execute_and_wait(\n tool_name=tool_name,\n command=command,\n timeout=timeout,\n log_file=log_file\n )\n\n # 验证输出文件是否生成\n if not output_file_path.exists():\n logger.warning(\n \"URL 获取工具 %s 未生成结果文件: %s (returncode: %d)\",\n tool_name, str(output_file_path), result['returncode']\n )\n return {\n 'tool': tool_name,\n 'output_file': output_file,\n 'url_count': 0,\n 'target_count': 0,\n 'success': False\n }\n\n # 检查文件大小\n file_size = output_file_path.stat().st_size\n if file_size == 0:\n logger.warning(\"URL 获取工具 %s 生成的结果文件为空: %s\", tool_name, output_file_path)\n return {\n 'tool': tool_name,\n 'output_file': output_file,\n 'url_count': 0,\n 'target_count': 0,\n 'success': False\n }\n\n # 统计 URL 数量（不在此处去重，全局去重交由 merge_and_deduplicate_urls_task 处理）\n final_count = 0\n with open(output_file, 'r') as f:\n final_count = sum(1 for line in f if line.strip())\n\n logger.info(\n \"✓ URL 获取工具 %s 完成 - 结果文件: %s (URL 数量: %d)\",\n tool_name, str(output_file_path), final_count\n )\n\n return {\n 'tool': tool_name,\n 'output_file': output_file,\n 'url_count': final_count,\n 'target_count': 1,\n 'success': final_count > 0\n }\n\n except RuntimeError:\n # 直接向上抛出（execute_and_wait 已记录详细日志）\n raise\n except Exception as e:\n error_msg = f\"URL 获取工具 {tool_name} 执行异常: {e}\"\n logger.error(error_msg, exc_info=True)\n raise\n" }, { "path": "backend/apps/scan/tasks/url_fetch/save_urls_task.py", "content": "\"\"\"\n保存 URL 到数据库任务\n\n批量保存发现的 URL 到 Endpoint 表\n支持批量插入和去重\n\"\"\"\n\nimport logging\nfrom pathlib import Path\nfrom prefect import task\nfrom typing import List, Optional\nfrom urllib.parse import urlparse\nfrom dataclasses import dataclass\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ParsedURL:\n \"\"\"解析后的 URL 数据\"\"\"\n url: str\n domain: str\n path: str\n query: Optional[str]\n method: str = 'GET' # 默认方法\n\n\ndef _parse_url(url: str) -> Optional[ParsedURL]:\n \"\"\"\n 解析 URL 提取各个组件\n \n Args:\n url: 完整 URL\n \n Returns:\n ParsedURL 或 None（如果解析失败）\n \"\"\"\n try:\n # 确保有协议\n if not url.startswith(('http://', 'https://')):\n url = f'http://{url}'\n \n parsed = urlparse(url)\n \n # 提取域名\n domain = parsed.netloc\n if not domain:\n return None\n \n # 提取路径（默认为 /）\n path = parsed.path if parsed.path else '/'\n \n # 提取查询参数\n query = parsed.query if parsed.query else None\n \n # 重建完整 URL（标准化）\n scheme = parsed.scheme if parsed.scheme else 'http'\n full_url = f\"{scheme}://{domain}{path}\"\n if query:\n full_url = f\"{full_url}?{query}\"\n \n return ParsedURL(\n url=full_url,\n domain=domain,\n path=path,\n query=query\n )\n except Exception as e:\n logger.debug(f\"解析 URL 失败 {url}: {e}\")\n return None\n\n\n@task(\n name='save_urls',\n retries=1,\n log_prints=True\n)\ndef save_urls_task(\n urls_file: str,\n scan_id: int,\n target_id: int,\n batch_size: int = 1000\n) -> dict:\n \"\"\"\n 保存 URL 到数据库\n \n Args:\n urls_file: URL 文件路径\n scan_id: 扫描 ID\n target_id: 目标 ID\n batch_size: 批次大小\n \n Returns:\n dict: {\n 'saved_urls': int, # 保存的 URL 数量\n 'total_urls': int, # 总 URL 数量\n 'skipped_urls': int # 跳过的 URL 数量\n }\n \"\"\"\n try:\n logger.info(f\"开始保存 URL 到数据库 - 扫描ID: {scan_id}, 目标ID: {target_id}\")\n \n # 导入快照服务和 DTO\n from apps.asset.services.snapshot import EndpointSnapshotsService\n from apps.asset.dtos.snapshot import EndpointSnapshotDTO\n \n # 创建快照服务（统一负责快照 + 资产双写）\n snapshots_service = EndpointSnapshotsService()\n \n # 按批次流式读取并解析 URL，避免一次性加载全部到内存\n total_urls = 0\n invalid_urls = 0\n valid_urls = 0\n saved_count = 0\n skipped_count = 0\n batch_index = 0\n current_batch: list[EndpointSnapshotDTO] = []\n\n with open(urls_file, 'r') as f:\n for line in f:\n url = line.strip()\n if not url:\n continue\n\n total_urls += 1\n\n # 解析 URL\n parsed = _parse_url(url)\n if not parsed:\n invalid_urls += 1\n continue\n\n valid_urls += 1\n current_batch.append(\n EndpointSnapshotDTO(\n scan_id=scan_id,\n url=parsed.url,\n host=parsed.domain, # 设置 host 字段\n target_id=target_id, # 用于同步到资产表\n )\n )\n\n # 达到批次大小时写入数据库\n if len(current_batch) >= batch_size:\n batch_index += 1\n try:\n snapshots_service.save_and_sync(current_batch)\n created_count = len(current_batch)\n saved_count += created_count\n logger.debug(f\"批次 {batch_index}: 保存 {created_count} 个 URL\")\n except Exception as e:\n logger.error(f\"批量保存失败（批次 {batch_index}）: {e}\")\n skipped_count += len(current_batch)\n finally:\n current_batch = []\n\n # 处理最后不足一个批次的 URL\n if current_batch:\n batch_index += 1\n try:\n snapshots_service.save_and_sync(current_batch)\n created_count = len(current_batch)\n saved_count += created_count\n logger.debug(f\"批次 {batch_index}: 保存 {created_count} 个 URL\")\n except Exception as e:\n logger.error(f\"批量保存失败（批次 {batch_index}）: {e}\")\n skipped_count += len(current_batch)\n\n if valid_urls == 0:\n logger.warning(\"没有有效的 URL 需要保存\")\n return {\n 'saved_urls': 0,\n 'total_urls': total_urls,\n 'skipped_urls': invalid_urls,\n }\n\n logger.info(\n \"准备保存 %d 个有效 URL（总计: %d，无效: %d）\",\n valid_urls,\n total_urls,\n invalid_urls,\n )\n\n # 计算最终跳过的数量（包括无效 URL 和保存失败的 URL）\n final_skipped = total_urls - saved_count\n \n logger.info(\n f\"✓ URL 保存完成 - 保存: {saved_count}, \"\n f\"跳过: {final_skipped}（包括重复和无效）, 总计: {total_urls}\"\n )\n \n return {\n 'saved_urls': saved_count,\n 'total_urls': total_urls,\n 'skipped_urls': final_skipped\n }\n \n except Exception as e:\n logger.error(f\"保存 URL 失败: {e}\", exc_info=True)\n raise RuntimeError(f\"保存 URL 失败: {e}\") from e\n" }, { "path": "backend/apps/scan/tasks/vuln_scan/__init__.py", "content": "\"\"\"漏洞扫描任务模块\n\n包含：\n- export_endpoints_task: 导出端点 URL 到文件\n- run_vuln_tool_task: 执行漏洞扫描工具（非流式）\n- run_and_stream_save_dalfox_vulns_task: Dalfox 流式执行并保存漏洞结果\n- run_and_stream_save_nuclei_vulns_task: Nuclei 流式执行并保存漏洞结果\n\"\"\"\n\nfrom .export_endpoints_task import export_endpoints_task\nfrom .run_vuln_tool_task import run_vuln_tool_task\nfrom .run_and_stream_save_dalfox_vulns_task import run_and_stream_save_dalfox_vulns_task\nfrom .run_and_stream_save_nuclei_vulns_task import run_and_stream_save_nuclei_vulns_task\n\n__all__ = [\n \"export_endpoints_task\",\n \"run_vuln_tool_task\",\n \"run_and_stream_save_dalfox_vulns_task\",\n \"run_and_stream_save_nuclei_vulns_task\",\n]\n" }, { "path": "backend/apps/scan/tasks/vuln_scan/export_endpoints_task.py", "content": "\"\"\"导出 Endpoint URL 到文件的 Task\n\n支持两种模式：\n1. 传统模式（向后兼容）：使用 target_id 从数据库导出\n2. Provider 模式：使用 TargetProvider 从任意数据源导出\n\n数据源优先级（回退链，仅传统模式）：\n1. Endpoint.url - 最精细的 URL（含路径、参数等）\n2. WebSite.url - 站点级别 URL\n3. 默认生成 - 根据 Target 类型生成 http(s)://target_name\n\"\"\"\n\nimport logging\nfrom typing import Dict, Optional\nfrom pathlib import Path\n\nfrom prefect import task\n\nfrom apps.scan.services.target_export_service import (\n export_urls_with_fallback,\n DataSource,\n)\nfrom apps.scan.providers import TargetProvider, DatabaseTargetProvider\n\nlogger = logging.getLogger(__name__)\n\n\n@task(name=\"export_endpoints\")\ndef export_endpoints_task(\n target_id: Optional[int] = None,\n output_file: str = \"\",\n provider: Optional[TargetProvider] = None,\n batch_size: int = 1000,\n) -> Dict[str, object]:\n \"\"\"导出目标下的所有 Endpoint URL 到文本文件。\n\n 支持两种模式：\n 1. 传统模式（向后兼容）：传入 target_id，从数据库导出\n 2. Provider 模式：传入 provider，从任意数据源导出\n\n 数据源优先级（回退链，仅传统模式）：\n 1. Endpoint 表 - 最精细的 URL（含路径、参数等）\n 2. WebSite 表 - 站点级别 URL\n 3. 默认生成 - 根据 Target 类型生成 http(s)://target_name\n\n Args:\n target_id: 目标 ID（传统模式，向后兼容）\n output_file: 输出文件路径（绝对路径）\n provider: TargetProvider 实例（新模式）\n batch_size: 每次从数据库迭代的批大小\n\n Returns:\n dict: {\n \"success\": bool,\n \"output_file\": str,\n \"total_count\": int,\n \"source\": str, # 数据来源: \"endpoint\" | \"website\" | \"default\" | \"none\" | \"provider\"\n }\n \"\"\"\n # 参数验证：至少提供一个\n if target_id is None and provider is None:\n raise ValueError(\"必须提供 target_id 或 provider 参数之一\")\n \n # Provider 模式：使用 TargetProvider 导出\n if provider is not None:\n logger.info(\"使用 Provider 模式 - Provider: %s\", type(provider).__name__)\n return _export_with_provider(output_file, provider)\n \n # 传统模式：使用 export_urls_with_fallback\n logger.info(\"使用传统模式 - Target ID: %d\", target_id)\n result = export_urls_with_fallback(\n target_id=target_id,\n output_file=output_file,\n sources=[DataSource.ENDPOINT, DataSource.WEBSITE, DataSource.DEFAULT],\n batch_size=batch_size,\n )\n \n logger.info(\n \"URL 导出完成 - source=%s, count=%d, tried=%s\",\n result['source'], result['total_count'], result['tried_sources']\n )\n \n return {\n \"success\": result['success'],\n \"output_file\": result['output_file'],\n \"total_count\": result['total_count'],\n \"source\": result['source'],\n }\n\n\ndef _export_with_provider(output_file: str, provider: TargetProvider) -> Dict[str, object]:\n \"\"\"使用 Provider 导出 URL\"\"\"\n output_path = Path(output_file)\n output_path.parent.mkdir(parents=True, exist_ok=True)\n \n total_count = 0\n blacklist_filter = provider.get_blacklist_filter()\n \n with open(output_path, 'w', encoding='utf-8', buffering=8192) as f:\n for url in provider.iter_urls():\n # 应用黑名单过滤（如果有）\n if blacklist_filter and not blacklist_filter.is_allowed(url):\n continue\n \n f.write(f\"{url}\\n\")\n total_count += 1\n \n if total_count % 1000 == 0:\n logger.info(\"已导出 %d 个 URL...\", total_count)\n \n logger.info(\"✓ URL 导出完成 - 总数: %d, 文件: %s\", total_count, str(output_path))\n \n return {\n \"success\": True,\n \"output_file\": str(output_path),\n \"total_count\": total_count,\n \"source\": \"provider\",\n }\n" }, { "path": "backend/apps/scan/tasks/vuln_scan/run_and_stream_save_dalfox_vulns_task.py", "content": "\"\"\"基于 execute_stream 的 Dalfox XSS 漏洞流式扫描任务\n\n主要功能：\n 1. 实时执行 Dalfox 漏洞扫描命令\n 2. 流式处理命令输出，解析为统一的漏洞记录\n 3. 批量保存到 VulnerabilitySnapshot 表\n 4. 避免生成大量临时文件，提高效率\n\n数据流向：\n 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库\n\n注意：\n Dalfox 的 JSON 输出为数组形式：首行为 '['，每条记录一行，行尾带逗号，末行为 ']'\n 本任务在解析阶段会：\n - 跳过 '['、']' 等控制行\n - 去掉每条记录末尾的逗号，再做 json 解析\n\"\"\"\n\nimport logging\nimport json\nimport subprocess\nimport time\nfrom asyncio import CancelledError\nfrom pathlib import Path\nfrom dataclasses import dataclass\nfrom typing import Generator, Optional, TYPE_CHECKING\n\nfrom prefect import task\nfrom django.db import IntegrityError, OperationalError, DatabaseError\nfrom psycopg2 import InterfaceError\n\nfrom apps.common.definitions import VulnSeverity, ScanStatus\nfrom apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO\nfrom apps.scan.utils import execute_stream\nfrom apps.scan.models import Scan\n\nif TYPE_CHECKING:\n from apps.asset.services.snapshot import VulnerabilitySnapshotsService\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"Service 集合，用于依赖注入\n\n 提供漏洞扫描所需的 Service 实例，便于测试时注入 Mock 对象。\n \"\"\"\n\n snapshot: \"VulnerabilitySnapshotsService\"\n\n @classmethod\n def create_default(cls) -> \"ServiceSet\":\n \"\"\"创建默认的 Service 集合\"\"\"\n from apps.asset.services.snapshot import VulnerabilitySnapshotsService\n\n return cls(snapshot=VulnerabilitySnapshotsService())\n\n\ndef _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None:\n \"\"\"验证任务参数的有效性。\"\"\"\n if not cmd or not cmd.strip():\n raise ValueError(\"扫描命令不能为空\")\n\n if target_id is None:\n raise ValueError(\"target_id 不能为 None，必须指定目标ID\")\n\n if scan_id is None:\n raise ValueError(\"scan_id 不能为 None，必须指定扫描ID\")\n\n if cwd and not Path(cwd).exists():\n raise ValueError(f\"工作目录不存在: {cwd}\")\n\n\ndef _map_severity(raw: Optional[str]) -> str:\n \"\"\"将 Dalfox 的严重性字符串映射为内部 VulnSeverity。\"\"\"\n value = (raw or \"\").strip().lower()\n mapping = {\n \"info\": VulnSeverity.INFO,\n \"information\": VulnSeverity.INFO,\n \"low\": VulnSeverity.LOW,\n \"medium\": VulnSeverity.MEDIUM,\n \"med\": VulnSeverity.MEDIUM,\n \"high\": VulnSeverity.HIGH,\n \"critical\": VulnSeverity.CRITICAL,\n }\n return mapping.get(value, VulnSeverity.UNKNOWN)\n\n\ndef _parse_and_validate_line(line: str) -> Optional[dict]:\n \"\"\"解析并验证单行 Dalfox JSON 输出。\n\n 处理步骤：\n 1. 去除首尾空白\n 2. 跳过 '['、']' 等数组控制行\n 3. 去掉行尾逗号\n 4. 解析 JSON 并验证必要字段\n \"\"\"\n try:\n raw = line.strip()\n if not raw:\n return None\n\n # 跳过数组控制行\n if raw in (\"[\", \"]\", \"],\"):\n return None\n\n # 去掉尾部逗号\n if raw.endswith(\",\"):\n raw = raw[:-1].rstrip()\n\n try:\n data = json.loads(raw, strict=False)\n except json.JSONDecodeError:\n # logger.info(\"跳过非 JSON 行: %s\", raw)\n return None\n\n if not isinstance(data, dict):\n logger.info(\"跳过非字典数据\")\n return None\n\n # Dalfox 输出中的 URL 字段为 data\n url = (data.get(\"data\") or \"\").strip()\n if not url:\n logger.info(\"跳过缺少 URL 的记录\")\n return None\n\n severity = _map_severity(data.get(\"severity\"))\n\n # 漏洞类型：根据 type 字段区分 XSS 类型\n # R=Reflected, S=Stored, V=Verified\n type_code = data.get(\"type\", \"\")\n type_map = {\"R\": \"xss-reflected\", \"S\": \"xss-stored\", \"V\": \"xss-verified\"}\n vuln_type = type_map.get(type_code, \"xss\")\n\n # 简化描述：只用 message_str，完整信息在 raw_output\n description = data.get(\"message_str\") or \"\"\n\n return {\n \"url\": url,\n \"vuln_type\": vuln_type,\n \"severity\": severity,\n \"source\": \"dalfox\",\n \"cvss_score\": None,\n \"description\": description,\n \"raw_output\": data, # 存储解析后的 dict，而不是原始字符串\n }\n\n except Exception:\n logger.info(\"跳过无法解析的行: %s\", line[:100])\n return None\n\n\ndef _parse_dalfox_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None,\n) -> Generator[dict, None, None]:\n \"\"\"流式解析 Dalfox 漏洞扫描命令输出。\"\"\"\n logger.info(\"开始流式解析 Dalfox 漏洞扫描命令输出 - 命令: %s\", cmd)\n\n total_lines = 0\n error_lines = 0\n valid_records = 0\n\n try:\n for line in execute_stream(\n cmd=cmd,\n tool_name=tool_name,\n cwd=cwd,\n shell=shell,\n timeout=timeout,\n log_file=log_file,\n ):\n total_lines += 1\n\n record = _parse_and_validate_line(line)\n if record is None:\n error_lines += 1\n continue\n\n valid_records += 1\n yield record\n\n if valid_records % 100 == 0:\n logger.info(\"已解析 %d 条有效漏洞记录...\", valid_records)\n\n except subprocess.TimeoutExpired as e:\n error_msg = f\"流式解析命令输出超时 - 命令执行超过 {timeout} 秒\"\n logger.warning(error_msg)\n raise RuntimeError(error_msg) from e\n except Exception as e:\n logger.error(\"流式解析 Dalfox 命令输出失败: %s\", e, exc_info=True)\n raise\n\n logger.info(\n \"流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d\",\n total_lines,\n valid_records,\n error_lines,\n )\n\n\ndef _save_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n) -> int:\n \"\"\"保存一个批次的漏洞记录到数据库（使用快照 Service，同步到资产表）。\"\"\"\n if not batch:\n logger.debug(\"批次 %d 为空，跳过处理\", batch_num)\n return 0\n\n snapshot_items = []\n for record in batch:\n try:\n dto = VulnerabilitySnapshotDTO(\n scan_id=scan_id,\n target_id=target_id,\n url=record[\"url\"],\n vuln_type=record[\"vuln_type\"],\n severity=str(record[\"severity\"]),\n source=record[\"source\"],\n cvss_score=record.get(\"cvss_score\"),\n description=record.get(\"description\", \"\"),\n raw_output=record.get(\"raw_output\", \"\"),\n )\n snapshot_items.append(dto)\n except Exception as e:\n logger.error(\"构建漏洞快照 DTO 失败: %s，记录: %s\", e, str(record)[:200])\n continue\n\n if snapshot_items:\n services.snapshot.save_and_sync(snapshot_items)\n\n logger.info(\"批次 %d: 保存了 %d 条漏洞记录（共 %d 条）\", batch_num, len(snapshot_items), len(batch))\n return len(snapshot_items)\n\n\ndef _save_batch_with_retry(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n max_retries: int = 3,\n) -> dict:\n \"\"\"保存一个批次的漏洞记录（带重试机制）。\"\"\"\n for attempt in range(max_retries):\n try:\n created = _save_batch(batch, scan_id, target_id, batch_num, services)\n return {\"success\": True, \"created_vulns\": created}\n\n except IntegrityError as e:\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {\"success\": False, \"created_vulns\": 0}\n\n except (OperationalError, DatabaseError, InterfaceError) as e:\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt\n logger.warning(\n \"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\",\n batch_num,\n attempt + 1,\n wait_time,\n str(e)[:100],\n )\n time.sleep(wait_time)\n else:\n logger.error(\"批次 %d 保存失败（已重试 %d 次）: %s\", batch_num, max_retries, e)\n return {\"success\": False, \"created_vulns\": 0}\n\n except Exception as e:\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n return {\"success\": False, \"created_vulns\": 0}\n\n return {\"success\": False, \"created_vulns\": 0}\n\n\ndef _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None:\n \"\"\"累加批次统计信息。\"\"\"\n total_stats[\"created_vulns\"] += batch_result.get(\"created_vulns\", 0)\n\n\ndef _process_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n total_stats: dict,\n failed_batches: list,\n services: ServiceSet,\n) -> None:\n \"\"\"处理单个批次。\"\"\"\n result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services)\n _accumulate_batch_stats(total_stats, result)\n\n if not result[\"success\"]:\n failed_batches.append(batch_num)\n logger.warning(\n \"批次 %d 保存失败，但已累计统计信息：创建漏洞=%d\",\n batch_num,\n result.get(\"created_vulns\", 0),\n )\n\n\ndef _process_records_in_batches(\n data_generator,\n scan_id: int,\n target_id: int,\n batch_size: int,\n services: ServiceSet,\n) -> dict:\n \"\"\"流式处理记录并分批保存。\"\"\"\n total_records = 0\n batch_num = 0\n failed_batches = []\n batch = []\n cancel_check_interval = 50 # 每处理50条检查一次取消信号\n\n total_stats = {\"created_vulns\": 0}\n\n for record in data_generator:\n if cancel_check_interval > 0 and (total_records % cancel_check_interval == 0):\n _raise_if_cancelled(scan_id)\n\n batch.append(record)\n total_records += 1\n\n if len(batch) >= batch_size:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n batch = []\n\n if batch_num % 20 == 0:\n logger.info(\"进度: 已处理 %d 批次，%d 条记录\", batch_num, total_records)\n\n if batch:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n\n _raise_if_cancelled(scan_id)\n\n if failed_batches:\n error_msg = (\n f\"流式保存漏洞扫描结果时出现失败批次，处理记录: {total_records}，\"\n f\"失败批次: {failed_batches}\"\n )\n logger.warning(error_msg)\n raise RuntimeError(error_msg)\n\n return {\n \"processed_records\": total_records,\n \"batch_count\": batch_num,\n **total_stats,\n }\n\n\ndef _build_final_result(stats: dict) -> dict:\n \"\"\"构建最终结果并输出日志。\"\"\"\n logger.info(\n \"✓ Dalfox 流式保存完成 - 处理记录: %d（%d 批次），创建漏洞: %d\",\n stats[\"processed_records\"],\n stats[\"batch_count\"],\n stats[\"created_vulns\"],\n )\n\n if stats[\"created_vulns\"] == 0:\n logger.warning(\n \"⚠️ 没有创建任何漏洞记录！可能原因：1) Dalfox 未发现漏洞 2) 输出格式问题 3) 重复数据被忽略\"\n )\n\n return {\n \"processed_records\": stats[\"processed_records\"],\n \"created_vulns\": stats[\"created_vulns\"],\n }\n\n\ndef _cleanup_resources(data_generator) -> None:\n \"\"\"清理任务资源。\"\"\"\n if data_generator is None:\n return\n\n try:\n data_generator.close()\n logger.debug(\"已关闭数据生成器\")\n except Exception as gen_close_error:\n logger.error(\"关闭生成器时出错: %s\", gen_close_error)\n\n\n@task(\n name=\"run_and_stream_save_dalfox_vulns\",\n retries=0,\n log_prints=True,\n)\ndef run_and_stream_save_dalfox_vulns_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n cwd: Optional[str] = None,\n shell: bool = False,\n batch_size: int = 1, # Dalfox 漏洞结果本来就不会特别多，可以改小点实时写入\n timeout: Optional[int] = None,\n log_file: Optional[str] = None,\n) -> dict:\n \"\"\"执行 Dalfox 漏洞扫描命令并流式保存结果到数据库。\"\"\"\n logger.info(\n \"开始执行 Dalfox 流式漏洞扫描任务 - target_id=%s, 超时=%s秒, 命令: %s\",\n target_id,\n timeout if timeout else \"无限制\",\n cmd,\n )\n\n data_generator = None\n\n try:\n _validate_task_parameters(cmd, target_id, scan_id, cwd)\n\n data_generator = _parse_dalfox_stream_output(\n cmd=cmd,\n tool_name=tool_name,\n cwd=cwd,\n shell=shell,\n timeout=timeout,\n log_file=log_file,\n )\n services = ServiceSet.create_default()\n\n stats = _process_records_in_batches(\n data_generator,\n scan_id,\n target_id,\n batch_size,\n services,\n )\n\n return _build_final_result(stats)\n\n except CancelledError:\n logger.warning(\n \"⚠️ Dalfox 漏洞扫描任务检测到取消信号，正在终止 - scan_id=%s, target_id=%s\",\n scan_id,\n target_id,\n )\n raise\n\n except subprocess.TimeoutExpired:\n logger.warning(\n \"⚠️ Dalfox 漏洞扫描任务超时 - target_id=%s, 超时=%s秒。超时前已解析的数据已保存到数据库。\",\n target_id,\n timeout,\n )\n raise\n\n except Exception as e:\n error_msg = f\"流式执行 Dalfox 漏洞扫描任务失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n\n finally:\n _cleanup_resources(data_generator)\n\n\ndef _raise_if_cancelled(scan_id: int) -> None:\n \"\"\"检测扫描是否已请求取消，若是则抛出 CancelledError 以触发 Prefect 取消流程。\"\"\"\n status = Scan.objects.filter(id=scan_id).values_list(\"status\", flat=True).first()\n if status == ScanStatus.CANCELLED:\n logger.warning(\"检测到取消信号，终止 Dalfox 漏洞扫描 - scan_id=%s\", scan_id)\n raise CancelledError()\n" }, { "path": "backend/apps/scan/tasks/vuln_scan/run_and_stream_save_nuclei_vulns_task.py", "content": "\"\"\"基于 execute_stream 的 Nuclei 漏洞流式扫描任务\n\n主要功能：\n 1. 实时执行 Nuclei 漏洞扫描命令\n 2. 流式处理命令输出，解析为统一的漏洞记录\n 3. 批量保存到 VulnerabilitySnapshot 表\n 4. 避免生成大量临时文件，提高效率\n\n数据流向：\n 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库\n\n注意：\n Nuclei 的 JSON 输出（-j 参数）为每行一条完整 JSON 对象。\n\"\"\"\n\nimport logging\nimport json\nimport subprocess\nimport time\nfrom asyncio import CancelledError\nfrom pathlib import Path\nfrom dataclasses import dataclass\nfrom typing import Generator, Optional, TYPE_CHECKING\n\nfrom prefect import task\nfrom django.db import IntegrityError, OperationalError, DatabaseError\nfrom psycopg2 import InterfaceError\n\nfrom apps.common.definitions import VulnSeverity, ScanStatus\nfrom apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO\nfrom apps.scan.utils import execute_stream\nfrom apps.scan.models import Scan\n\nif TYPE_CHECKING:\n from apps.asset.services.snapshot import VulnerabilitySnapshotsService\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass ServiceSet:\n \"\"\"Service 集合，用于依赖注入\"\"\"\n\n snapshot: \"VulnerabilitySnapshotsService\"\n\n @classmethod\n def create_default(cls) -> \"ServiceSet\":\n \"\"\"创建默认的 Service 集合\"\"\"\n from apps.asset.services.snapshot import VulnerabilitySnapshotsService\n\n return cls(snapshot=VulnerabilitySnapshotsService())\n\n\ndef _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None:\n \"\"\"验证任务参数的有效性。\"\"\"\n if not cmd or not cmd.strip():\n raise ValueError(\"扫描命令不能为空\")\n\n if target_id is None:\n raise ValueError(\"target_id 不能为 None，必须指定目标ID\")\n\n if scan_id is None:\n raise ValueError(\"scan_id 不能为 None，必须指定扫描ID\")\n\n if cwd and not Path(cwd).exists():\n raise ValueError(f\"工作目录不存在: {cwd}\")\n\n\ndef _map_severity(raw: Optional[str]) -> str:\n \"\"\"将 Nuclei 的严重性字符串映射为内部 VulnSeverity。\"\"\"\n value = (raw or \"\").strip().lower()\n mapping = {\n \"info\": VulnSeverity.INFO,\n \"information\": VulnSeverity.INFO,\n \"low\": VulnSeverity.LOW,\n \"medium\": VulnSeverity.MEDIUM,\n \"high\": VulnSeverity.HIGH,\n \"critical\": VulnSeverity.CRITICAL,\n }\n return mapping.get(value, VulnSeverity.UNKNOWN)\n\n\ndef _parse_and_validate_line(line: str) -> Optional[dict]:\n \"\"\"解析并验证单行 Nuclei JSON 输出。\n\n Nuclei JSON 输出格式（每行一条完整 JSON）：\n {\n \"template\": \"dns/caa-fingerprint.yaml\",\n \"template-id\": \"caa-fingerprint\",\n \"info\": {\n \"name\": \"CAA Record\",\n \"severity\": \"info\",\n \"description\": \"...\",\n \"tags\": [\"dns\", \"caa\"],\n \"classification\": {\"cve-id\": null, \"cwe-id\": [\"cwe-200\"]}\n },\n \"host\": \"test.yyhuni.rest\",\n \"matched-at\": \"test.yyhuni.rest\",\n \"type\": \"dns\",\n \"timestamp\": \"2025-12-04T17:33:31.903288+08:00\",\n \"matcher-status\": true\n }\n \"\"\"\n try:\n raw = line.strip()\n if not raw:\n return None\n\n try:\n # strict=False 允许 JSON 中包含控制字符（如换行符、制表符等）\n # Nuclei 输出的 response 字段可能包含原始 HTTP 响应，其中有控制字符\n data = json.loads(raw, strict=False)\n except json.JSONDecodeError:\n # logger.info(\"跳过非 JSON 行: %s\", raw)\n return None\n\n if not isinstance(data, dict):\n logger.info(\"跳过非字典数据\")\n return None\n\n # 提取 info 字段\n info = data.get(\"info\", {})\n if not isinstance(info, dict):\n info = {}\n\n # URL: 优先用 matched-at，其次用 host\n url = data.get(\"matched-at\") or data.get(\"host\") or \"\"\n if not url:\n logger.info(\"跳过缺少 URL 的记录: %s\", data.get(\"template-id\", \"unknown\"))\n return None\n\n # 严重性\n severity = _map_severity(info.get(\"severity\"))\n\n # 漏洞类型：使用 template-id 作为类型标识\n vuln_type = data.get(\"template-id\", \"unknown\")\n\n # 简化描述：只用 info.name，完整信息在 raw_output\n description = info.get(\"name\", \"\")\n\n return {\n \"url\": url,\n \"vuln_type\": vuln_type,\n \"severity\": severity,\n \"source\": \"nuclei\",\n \"cvss_score\": None,\n \"description\": description,\n \"raw_output\": data, # 存储解析后的 dict，而不是原始字符串\n }\n\n except Exception:\n logger.info(\"跳过无法解析的行: %s\", line[:100])\n return None\n\n\ndef _parse_nuclei_stream_output(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None,\n) -> Generator[dict, None, None]:\n \"\"\"流式解析 Nuclei 漏洞扫描命令输出。\"\"\"\n logger.info(\"开始流式解析 Nuclei 漏洞扫描命令输出 - 命令: %s\", cmd)\n\n total_lines = 0\n error_lines = 0\n valid_records = 0\n\n try:\n for line in execute_stream(\n cmd=cmd,\n tool_name=tool_name,\n cwd=cwd,\n shell=shell,\n timeout=timeout,\n log_file=log_file,\n ):\n total_lines += 1\n\n record = _parse_and_validate_line(line)\n if record is None:\n error_lines += 1\n continue\n\n valid_records += 1\n yield record\n\n if valid_records % 100 == 0:\n logger.info(\"已解析 %d 条有效漏洞记录...\", valid_records)\n\n except subprocess.TimeoutExpired as e:\n error_msg = f\"流式解析命令输出超时 - 命令执行超过 {timeout} 秒\"\n logger.warning(error_msg)\n raise RuntimeError(error_msg) from e\n except Exception as e:\n logger.error(\"流式解析 Nuclei 命令输出失败: %s\", e, exc_info=True)\n raise\n\n logger.info(\n \"流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d\",\n total_lines,\n valid_records,\n error_lines,\n )\n\n\ndef _save_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n) -> int:\n \"\"\"保存一个批次的漏洞记录到数据库。\"\"\"\n if not batch:\n logger.debug(\"批次 %d 为空，跳过处理\", batch_num)\n return 0\n\n snapshot_items = []\n for record in batch:\n try:\n dto = VulnerabilitySnapshotDTO(\n scan_id=scan_id,\n target_id=target_id,\n url=record[\"url\"],\n vuln_type=record[\"vuln_type\"],\n severity=str(record[\"severity\"]),\n source=record[\"source\"],\n cvss_score=record.get(\"cvss_score\"),\n description=record.get(\"description\", \"\"),\n raw_output=record.get(\"raw_output\", \"\"),\n )\n snapshot_items.append(dto)\n except Exception as e:\n logger.error(\"构建漏洞快照 DTO 失败: %s，记录: %s\", e, str(record)[:200])\n continue\n\n if snapshot_items:\n services.snapshot.save_and_sync(snapshot_items)\n\n logger.info(\"批次 %d: 保存了 %d 条漏洞记录（共 %d 条）\", batch_num, len(snapshot_items), len(batch))\n return len(snapshot_items)\n\n\ndef _save_batch_with_retry(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n services: ServiceSet,\n max_retries: int = 3,\n) -> dict:\n \"\"\"保存一个批次的漏洞记录（带重试机制）。\"\"\"\n for attempt in range(max_retries):\n try:\n created = _save_batch(batch, scan_id, target_id, batch_num, services)\n return {\"success\": True, \"created_vulns\": created}\n\n except IntegrityError as e:\n logger.error(\"批次 %d 数据完整性错误，跳过: %s\", batch_num, str(e)[:100])\n return {\"success\": False, \"created_vulns\": 0}\n\n except (OperationalError, DatabaseError, InterfaceError) as e:\n if attempt < max_retries - 1:\n wait_time = 2 ** attempt\n logger.warning(\n \"批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s\",\n batch_num,\n attempt + 1,\n wait_time,\n str(e)[:100],\n )\n time.sleep(wait_time)\n else:\n logger.error(\"批次 %d 保存失败（已重试 %d 次）: %s\", batch_num, max_retries, e)\n return {\"success\": False, \"created_vulns\": 0}\n\n except Exception as e:\n logger.error(\"批次 %d 未知错误: %s\", batch_num, e, exc_info=True)\n return {\"success\": False, \"created_vulns\": 0}\n\n return {\"success\": False, \"created_vulns\": 0}\n\n\ndef _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None:\n \"\"\"累加批次统计信息。\"\"\"\n total_stats[\"created_vulns\"] += batch_result.get(\"created_vulns\", 0)\n\n\ndef _process_batch(\n batch: list,\n scan_id: int,\n target_id: int,\n batch_num: int,\n total_stats: dict,\n failed_batches: list,\n services: ServiceSet,\n) -> None:\n \"\"\"处理单个批次。\"\"\"\n result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services)\n _accumulate_batch_stats(total_stats, result)\n\n if not result[\"success\"]:\n failed_batches.append(batch_num)\n logger.warning(\n \"批次 %d 保存失败，但已累计统计信息：创建漏洞=%d\",\n batch_num,\n result.get(\"created_vulns\", 0),\n )\n\n\ndef _process_records_in_batches(\n data_generator,\n scan_id: int,\n target_id: int,\n batch_size: int,\n services: ServiceSet,\n) -> dict:\n \"\"\"流式处理记录并分批保存。\"\"\"\n total_records = 0\n batch_num = 0\n failed_batches = []\n batch = []\n cancel_check_interval = 50 # 每处理50条检查一次取消信号\n\n total_stats = {\"created_vulns\": 0}\n\n for record in data_generator:\n if cancel_check_interval > 0 and (total_records % cancel_check_interval == 0):\n _raise_if_cancelled(scan_id)\n\n batch.append(record)\n total_records += 1\n\n if len(batch) >= batch_size:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n batch = []\n\n if batch_num % 20 == 0:\n logger.info(\"进度: 已处理 %d 批次，%d 条记录\", batch_num, total_records)\n\n if batch:\n batch_num += 1\n _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services)\n\n _raise_if_cancelled(scan_id)\n\n if failed_batches:\n error_msg = (\n f\"流式保存漏洞扫描结果时出现失败批次，处理记录: {total_records}，\"\n f\"失败批次: {failed_batches}\"\n )\n logger.warning(error_msg)\n raise RuntimeError(error_msg)\n\n return {\n \"processed_records\": total_records,\n \"batch_count\": batch_num,\n **total_stats,\n }\n\n\ndef _build_final_result(stats: dict) -> dict:\n \"\"\"构建最终结果并输出日志。\"\"\"\n logger.info(\n \"✓ Nuclei 流式保存完成 - 处理记录: %d（%d 批次），创建漏洞: %d\",\n stats[\"processed_records\"],\n stats[\"batch_count\"],\n stats[\"created_vulns\"],\n )\n\n if stats[\"created_vulns\"] == 0:\n logger.warning(\n \"⚠️ 没有创建任何漏洞记录！可能原因：1) Nuclei 未发现漏洞 2) 输出格式问题 3) 重复数据被忽略\"\n )\n\n return {\n \"processed_records\": stats[\"processed_records\"],\n \"created_vulns\": stats[\"created_vulns\"],\n }\n\n\ndef _cleanup_resources(data_generator) -> None:\n \"\"\"清理任务资源。\"\"\"\n if data_generator is None:\n return\n\n try:\n data_generator.close()\n logger.debug(\"已关闭数据生成器\")\n except Exception as gen_close_error:\n logger.error(\"关闭生成器时出错: %s\", gen_close_error)\n\n\n@task(\n name=\"run_and_stream_save_nuclei_vulns\",\n retries=0,\n log_prints=True,\n)\ndef run_and_stream_save_nuclei_vulns_task(\n cmd: str,\n tool_name: str,\n scan_id: int,\n target_id: int,\n cwd: Optional[str] = None,\n shell: bool = False,\n batch_size: int = 10, # Nuclei 结果可能较多，适当增大批次\n timeout: Optional[int] = None,\n log_file: Optional[str] = None,\n) -> dict:\n \"\"\"执行 Nuclei 漏洞扫描命令并流式保存结果到数据库。\"\"\"\n logger.info(\n \"开始执行 Nuclei 流式漏洞扫描任务 - target_id=%s, 超时=%s秒, 命令: %s\",\n target_id,\n timeout if timeout else \"无限制\",\n cmd,\n )\n\n data_generator = None\n\n try:\n _validate_task_parameters(cmd, target_id, scan_id, cwd)\n\n data_generator = _parse_nuclei_stream_output(\n cmd=cmd,\n tool_name=tool_name,\n cwd=cwd,\n shell=shell,\n timeout=timeout,\n log_file=log_file,\n )\n services = ServiceSet.create_default()\n\n stats = _process_records_in_batches(\n data_generator,\n scan_id,\n target_id,\n batch_size,\n services,\n )\n\n return _build_final_result(stats)\n\n except CancelledError:\n logger.warning(\n \"⚠️ Nuclei 漏洞扫描任务检测到取消信号，正在终止 - scan_id=%s, target_id=%s\",\n scan_id,\n target_id,\n )\n raise\n\n except subprocess.TimeoutExpired:\n logger.warning(\n \"⚠️ Nuclei 漏洞扫描任务超时 - target_id=%s, 超时=%s秒。超时前已解析的数据已保存到数据库。\",\n target_id,\n timeout,\n )\n raise\n\n except Exception as e:\n error_msg = f\"流式执行 Nuclei 漏洞扫描任务失败: {e}\"\n logger.error(error_msg, exc_info=True)\n raise RuntimeError(error_msg) from e\n\n finally:\n _cleanup_resources(data_generator)\n\n\ndef _raise_if_cancelled(scan_id: int) -> None:\n \"\"\"检测扫描是否已请求取消，若是则抛出 CancelledError 以触发 Prefect 取消流程。\"\"\"\n status = Scan.objects.filter(id=scan_id).values_list(\"status\", flat=True).first()\n if status == ScanStatus.CANCELLED:\n logger.warning(\"检测到取消信号，终止 Nuclei 漏洞扫描 - scan_id=%s\", scan_id)\n raise CancelledError()\n" }, { "path": "backend/apps/scan/tasks/vuln_scan/run_vuln_tool_task.py", "content": "\"\"\"执行漏洞扫描工具任务\n\n负责运行单个漏洞扫描工具（目前主要是 Dalfox XSS）。\n\n注意：\n- 命令构建在 Flow 层完成，这里只负责执行已经构建好的命令\n- 使用通用 execute_and_wait 统一管理超时和日志\n\"\"\"\n\nimport logging\nfrom typing import Dict\n\nfrom prefect import task\n\nfrom apps.scan.utils import execute_and_wait\n\nlogger = logging.getLogger(__name__)\n\n\n@task(\n name=\"run_vuln_tool\",\n retries=0,\n log_prints=True,\n)\ndef run_vuln_tool_task(\n tool_name: str,\n command: str,\n timeout: int,\n log_file: str | None = None,\n) -> Dict[str, object]:\n \"\"\"执行单个漏洞扫描工具。\n\n Args:\n tool_name: 工具名称（如 \"dalfox_xss\"）\n command: 完整命令字符串（由 Flow 层构建）\n timeout: 命令执行超时时间（秒）\n log_file: 日志文件路径\n\n Returns:\n dict: execute_and_wait 的返回结果字典，并附加 tool 字段。\n \"\"\"\n try:\n logger.info(\"开始执行漏洞扫描工具 %s\", tool_name)\n\n result = execute_and_wait(\n tool_name=tool_name,\n command=command,\n timeout=timeout,\n log_file=log_file,\n )\n\n # 保持与 execute_and_wait 一致的字段，并额外附加工具名\n return {\n \"tool\": tool_name,\n **result,\n }\n\n except RuntimeError:\n # execute_and_wait 已经记录详细日志，这里直接向上抛出\n raise\n except Exception as e:\n error_msg = f\"漏洞扫描工具 {tool_name} 执行异常: {e}\"\n logger.error(error_msg, exc_info=True)\n raise\n" }, { "path": "backend/apps/scan/urls.py", "content": "from django.urls import path, include\nfrom rest_framework.routers import DefaultRouter\nfrom .views import ScanViewSet, ScheduledScanViewSet, ScanLogListView, SubfinderProviderSettingsView\nfrom .notifications.views import notification_callback\nfrom apps.asset.views import (\n SubdomainSnapshotViewSet, WebsiteSnapshotViewSet, DirectorySnapshotViewSet,\n EndpointSnapshotViewSet, HostPortMappingSnapshotViewSet, VulnerabilitySnapshotViewSet,\n ScreenshotSnapshotViewSet\n)\n\n# 创建路由器\nrouter = DefaultRouter()\n\n# 注册 ViewSet\nrouter.register(r'scans', ScanViewSet, basename='scan')\nrouter.register(r'scheduled-scans', ScheduledScanViewSet, basename='scheduled-scan')\n\n# Scan 下的嵌套快照路由\nscan_subdomains_list = SubdomainSnapshotViewSet.as_view({'get': 'list'})\nscan_subdomains_export = SubdomainSnapshotViewSet.as_view({'get': 'export'})\nscan_websites_list = WebsiteSnapshotViewSet.as_view({'get': 'list'})\nscan_websites_export = WebsiteSnapshotViewSet.as_view({'get': 'export'})\nscan_directories_list = DirectorySnapshotViewSet.as_view({'get': 'list'})\nscan_directories_export = DirectorySnapshotViewSet.as_view({'get': 'export'})\nscan_endpoints_list = EndpointSnapshotViewSet.as_view({'get': 'list'})\nscan_endpoints_export = EndpointSnapshotViewSet.as_view({'get': 'export'})\nscan_ip_addresses_list = HostPortMappingSnapshotViewSet.as_view({'get': 'list'})\nscan_ip_addresses_export = HostPortMappingSnapshotViewSet.as_view({'get': 'export'})\nscan_vulnerabilities_list = VulnerabilitySnapshotViewSet.as_view({'get': 'list'})\nscan_screenshots_list = ScreenshotSnapshotViewSet.as_view({'get': 'list'})\nscan_screenshots_image = ScreenshotSnapshotViewSet.as_view({'get': 'image'})\n\nurlpatterns = [\n path('', include(router.urls)),\n # Worker 回调 API\n path('callbacks/notification/', notification_callback, name='notification-callback'),\n # API Key 配置\n path('settings/api-keys/', SubfinderProviderSettingsView.as_view(), name='subfinder-provider-settings'),\n # 扫描日志 API\n path('scans/<int:scan_id>/logs/', ScanLogListView.as_view(), name='scan-logs-list'),\n # 嵌套路由：/api/scans/{scan_pk}/xxx/\n path('scans/<int:scan_pk>/subdomains/', scan_subdomains_list, name='scan-subdomains-list'),\n path('scans/<int:scan_pk>/subdomains/export/', scan_subdomains_export, name='scan-subdomains-export'),\n path('scans/<int:scan_pk>/websites/', scan_websites_list, name='scan-websites-list'),\n path('scans/<int:scan_pk>/websites/export/', scan_websites_export, name='scan-websites-export'),\n path('scans/<int:scan_pk>/directories/', scan_directories_list, name='scan-directories-list'),\n path('scans/<int:scan_pk>/directories/export/', scan_directories_export, name='scan-directories-export'),\n path('scans/<int:scan_pk>/endpoints/', scan_endpoints_list, name='scan-endpoints-list'),\n path('scans/<int:scan_pk>/endpoints/export/', scan_endpoints_export, name='scan-endpoints-export'),\n path('scans/<int:scan_pk>/ip-addresses/', scan_ip_addresses_list, name='scan-ip-addresses-list'),\n path('scans/<int:scan_pk>/ip-addresses/export/', scan_ip_addresses_export, name='scan-ip-addresses-export'),\n path('scans/<int:scan_pk>/vulnerabilities/', scan_vulnerabilities_list, name='scan-vulnerabilities-list'),\n path('scans/<int:scan_pk>/screenshots/', scan_screenshots_list, name='scan-screenshots-list'),\n path('scans/<int:scan_pk>/screenshots/<int:pk>/image/', scan_screenshots_image, name='scan-screenshots-image'),\n]\n\n" }, { "path": "backend/apps/scan/utils/__init__.py", "content": "\"\"\"\n扫描模块工具包\n\n提供扫描相关的工具函数。\n\"\"\"\n\nfrom . import config_parser\nfrom .command_builder import build_scan_command\nfrom .command_executor import execute_and_wait, execute_stream\nfrom .directory_cleanup import remove_directory\nfrom .nuclei_helpers import ensure_nuclei_templates_local\nfrom .performance import CommandPerformanceTracker, FlowPerformanceTracker\nfrom .system_load import check_system_load, wait_for_system_load\nfrom .user_logger import user_log\nfrom .wordlist_helpers import ensure_wordlist_local\nfrom .workspace_utils import setup_scan_directory, setup_scan_workspace\n\n__all__ = [\n # 目录清理\n 'remove_directory',\n # 工作空间\n 'setup_scan_workspace',\n 'setup_scan_directory',\n # 命令构建\n 'build_scan_command',\n # 命令执行\n 'execute_and_wait',\n 'execute_stream',\n # 系统负载\n 'wait_for_system_load',\n 'check_system_load',\n # 字典文件\n 'ensure_wordlist_local',\n # Nuclei 模板\n 'ensure_nuclei_templates_local',\n # 性能监控\n 'FlowPerformanceTracker',\n 'CommandPerformanceTracker',\n # 扫描日志\n 'user_log',\n # 配置解析\n 'config_parser',\n]\n" }, { "path": "backend/apps/scan/utils/command_builder.py", "content": "\"\"\"\n简化的命令构建工具\n使用 Python 原生 f-string 和条件拼接，零依赖，性能更好。\n\"\"\"\n\nimport logging\nfrom typing import Dict, Any\n\nlogger = logging.getLogger(__name__)\n\n\ndef build_scan_command(\n tool_name: str,\n scan_type: str,\n command_params: Dict[str, Any],\n tool_config: Dict[str, Any]\n) -> str:\n \"\"\"\n 构建扫描工具命令（使用 f-string）\n \n Args:\n tool_name: 工具名称（如 'subfinder'）\n scan_type: 扫描类型（如 'subdomain_discovery'）\n command_params: 命令占位符参数\n - domain: 目标域名\n - domains_file: 域名列表文件（用于端口扫描）\n - url_file: URL列表文件（用于站点扫描）\n - target_file: 目标文件路径（通用）\n - output_file: 输出文件路径\n tool_config: 工具配置参数（包含可选参数）\n - threads: 线程数\n - timeout: 超时时间（秒）\n - 其他可选参数...\n \n Returns:\n 完整的命令字符串\n \n Example:\n >>> build_scan_command(\n ... tool_name='subfinder',\n ... scan_type='subdomain_discovery',\n ... command_params={'domain': 'example.com', 'output_file': '/tmp/out.txt'},\n ... tool_config={'threads': 10}\n ... )\n 'subfinder -d example.com -o /tmp/out.txt -silent -t 10'\n \"\"\"\n from apps.scan.configs.command_templates import get_command_template, SCAN_TOOLS_BASE_PATH\n \n # 获取命令模板\n template = get_command_template(scan_type, tool_name)\n if not template:\n raise ValueError(f\"未找到工具 {tool_name} 的命令模板（扫描类型: {scan_type}）\")\n \n # 合并所有参数，并将中划线统一转成下划线\n # 规范约定：\n # - 配置文件（YAML）：参数名用中划线，贴近 CLI 原生参数（如 rate-limit, request-timeout）\n # - 模板文件（Python）：参数名用下划线，符合 str.format() 占位符语法要求\n # - 此处自动转换：rate-limit → rate_limit\n def normalize_key(k):\n return k.replace('-', '_') if isinstance(k, str) else k\n \n all_params = {\n 'scan_tools_base': SCAN_TOOLS_BASE_PATH,\n **{normalize_key(k): v for k, v in command_params.items()},\n **{normalize_key(k): v for k, v in tool_config.items()}\n }\n\n # nuclei 特殊处理：要求 template_args 必填（支持多 -t），避免格式化缺失\n if tool_name == \"nuclei\":\n if not all_params.get(\"template_args\"):\n raise ValueError(\"nuclei 命令构建缺少 template_args（请检查模板仓库列表配置）\")\n \n try:\n # 1. 构建基础命令\n base_command = template['base'].format(**all_params)\n \n # 2. 拼接可选参数\n optional_parts = []\n for param_name, flag_template in template.get('optional', {}).items():\n # 检查参数是否存在且有值\n if param_name in all_params and all_params[param_name]:\n optional_parts.append(flag_template.format(**all_params))\n \n # 3. 组合完整命令\n full_command = base_command\n if optional_parts:\n full_command += ' ' + ' '.join(optional_parts)\n \n # 4. 清理多余空白\n import re\n cleaned_command = re.sub(r'\\s+', ' ', full_command).strip()\n \n return cleaned_command\n \n except KeyError as e:\n raise ValueError(\n f\"命令构建失败：缺少必需参数 {e}\\n\"\n f\"模板: {template}\\n\"\n f\"提供的参数: {list(all_params.keys())}\"\n )\n except Exception as e:\n raise ValueError(\n f\"命令构建失败: {e}\\n\"\n f\"模板: {template}\\n\"\n f\"提供的参数: {list(all_params.keys())}\"\n )\n" }, { "path": "backend/apps/scan/utils/command_executor.py", "content": "\"\"\"\n命令执行器\n\n统一管理所有命令执行方式：\n- execute_and_wait(): 等待式执行，适合输出到文件的工具\n- execute_stream(): 流式执行，适合实时处理输出的工具\n\n性能监控：\n- 自动记录命令执行耗时、内存使用\n- 输出到 performance logger\n\"\"\"\n\nimport logging\nimport os\nimport re\nimport signal\nimport subprocess\nimport threading\nimport time\nfrom collections import deque\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Dict, Any, Optional, Generator\n\nfrom django.conf import settings\n\ntry:\n # 可选依赖：用于根据 CPU / 内存负载做动态并发控制\n import psutil\nexcept ImportError: # 运行环境缺少 psutil 时降级为无动态负载控制\n psutil = None\n\nlogger = logging.getLogger(__name__)\n\n# 延迟导入，避免循环依赖\ndef _get_command_tracker(tool_name: str, command: str):\n \"\"\"获取命令性能追踪器（延迟导入）\"\"\"\n from apps.scan.utils.performance import CommandPerformanceTracker\n return CommandPerformanceTracker(tool_name, command)\n\n# 常量定义\nGRACEFUL_SHUTDOWN_TIMEOUT = 5 # 进程优雅退出的超时时间（秒）\nMAX_LOG_TAIL_LINES = 1000 # 日志文件读取的最大行数\n\n# 命令日志配置（从环境变量读取）\n# ENABLE_COMMAND_LOGGING=true: 输出所有内容（命令输出+错误）到log_file_path\n# ENABLE_COMMAND_LOGGING=false: 只输出错误到log_file_path\nENABLE_COMMAND_LOGGING = getattr(settings, 'ENABLE_COMMAND_LOGGING', True)\n\n# 动态并发控制阈值（可在 Django settings 中覆盖）\nSCAN_CPU_HIGH = getattr(settings, 'SCAN_CPU_HIGH', 90.0) # CPU 高水位（百分比）\nSCAN_MEM_HIGH = getattr(settings, 'SCAN_MEM_HIGH', 80.0) # 内存高水位（百分比）\nSCAN_LOAD_CHECK_INTERVAL = getattr(settings, 'SCAN_LOAD_CHECK_INTERVAL', 180) # 负载检查间隔（秒）\nSCAN_COMMAND_STARTUP_DELAY = getattr(settings, 'SCAN_COMMAND_STARTUP_DELAY', 5) # 命令启动前等待（秒）\n\n_ACTIVE_COMMANDS = 0\n_ACTIVE_COMMANDS_LOCK = threading.Lock()\n\n\ndef _wait_for_system_load() -> None:\n \"\"\"根据当前机器 CPU/内存负载，决定是否暂缓启动新的外部命令。\"\"\"\n \n # 1. 先强制等待，让之前启动的命令有时间消耗资源，避免并发启动导致延迟OOM\n if SCAN_COMMAND_STARTUP_DELAY > 0:\n time.sleep(SCAN_COMMAND_STARTUP_DELAY)\n \n # 2. 再检查系统负载\n if psutil is None:\n raise ImportError(\"psutil 未安装，无法进行负载感知控制\")\n\n while True:\n cpu = psutil.cpu_percent(interval=0.5)\n mem = psutil.virtual_memory().percent\n\n if cpu < SCAN_CPU_HIGH and mem < SCAN_MEM_HIGH:\n return\n\n logger.info(\n \"系统负载较高，任务将排队执行，防止oom: cpu=%.1f%% (阈值 %.1f%%), mem=%.1f%% (阈值 %.1f%%)\",\n cpu,\n SCAN_CPU_HIGH,\n mem,\n SCAN_MEM_HIGH,\n )\n time.sleep(SCAN_LOAD_CHECK_INTERVAL)\n\n\nclass CommandExecutor:\n \"\"\"\n 统一的命令执行器\n \n 提供两种执行模式：\n 1. execute_and_wait() - 等待式执行（适合文件输出）\n 2. execute_stream() - 流式执行（适合实时处理）\n \"\"\"\n \n def _write_command_start_header(self, log_file: Path, tool_name: str, command: str, timeout: Optional[int] = None):\n \"\"\"\n 在命令开始时写入头部信息\n \"\"\"\n if not ENABLE_COMMAND_LOGGING:\n return\n \n try:\n with open(log_file, 'w', encoding='utf-8') as f:\n f.write(f\"$ {command}\\n\")\n f.write(f\"{'='*60}\\n\")\n f.write(f\"# 工具: {tool_name}\\n\")\n f.write(f\"# 开始时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\\n\")\n if timeout is not None:\n f.write(f\"# 超时限制: {timeout}秒\\n\")\n f.write(f\"# 状态: 执行中...\\n\")\n f.write(f\"{'='*60}\\n\\n\")\n except Exception as e:\n logger.error(f\"写入命令开始信息失败: {e}\")\n \n def _write_command_end_footer(self, log_file: Path, tool_name: str, duration: float, returncode: int, success: bool):\n \"\"\"\n 在命令结束时追加尾部信息\n \"\"\"\n if not ENABLE_COMMAND_LOGGING:\n return\n \n try:\n with open(log_file, 'a', encoding='utf-8') as f:\n f.write(f\"\\n{'='*60}\\n\")\n f.write(f\"# 结束时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\\n\")\n f.write(f\"# 执行耗时: {duration:.2f}秒\\n\")\n f.write(f\"# 退出码: {returncode}\\n\")\n f.write(f\"# 状态: {'✓ 成功' if success else '✗ 失败'}\\n\")\n f.write(f\"{'='*60}\\n\")\n \n logger.info(f\"📝 {tool_name} 日志: {log_file} (耗时: {duration:.2f}秒)\")\n except Exception as e:\n logger.error(f\"写入命令结束信息失败: {e}\")\n \n def _clean_output_line(self, line: str, suffix_char: Optional[str] = None) -> Optional[str]:\n \"\"\"\n 统一的输出行清理处理\n \n 处理顺序：\n 1. 去除首尾空白\n 2. 跳过空行\n 3. 处理字面转义字符串（如 \\\\x0d\\\\x0a）\n 4. 移除 ANSI 转义序列\n 5. 清理控制字符\n 6. 移除指定后缀字符\n \n Args:\n line: 原始输出行\n suffix_char: 要移除的末尾字符\n \n Returns:\n 清理后的行内容，如果是空行则返回 None\n \"\"\"\n # 1. 去除行首尾的空白字符\n line = line.strip()\n \n # 2. 跳过空行\n if not line:\n return None\n \n # 3. 处理字面转义字符串（罕见但可能存在）\n # 处理常见的字面转义序列\n escape_mappings = {\n '\\\\x0d\\\\x0a': '\\n', # Windows 换行符字面量\n '\\\\x0a': '\\n', # Unix 换行符字面量\n '\\\\x0d': '\\r', # 回车符字面量\n '\\\\r\\\\n': '\\n', # 常见的转义表示\n '\\\\n': '\\n', # 换行符转义\n '\\\\r': '\\r', # 回车符转义\n '\\\\t': '\\t', # 制表符转义\n }\n \n for literal, actual in escape_mappings.items():\n if literal in line:\n line = line.replace(literal, actual)\n \n # 4. 移除 ANSI 转义序列（颜色、格式等控制字符）\n ansi_escape = re.compile(r'\\x1B(?:[@-Z\\\\-_]|\\[[0-?]*[ -/]*[@-~])')\n line = ansi_escape.sub('', line)\n \n # 5. 清理控制字符\n line = line.replace('\\x00', '') # 移除 NUL 字符\n line = line.replace('\\r', '') # 移除回车符\n line = line.replace('\\b', '') # 移除退格符\n line = line.replace('\\f', '') # 移除换页符\n line = line.replace('\\v', '') # 移除垂直制表符\n \n # 6. 再次去除空白（清理后可能产生新的空白）\n line = line.strip()\n if not line:\n return None\n \n # 7. 如果指定了后缀字符，移除末尾的后缀字符\n if suffix_char and line.endswith(suffix_char):\n line = line[:-1].strip()\n if not line:\n return None\n \n return line\n\n def _kill_process_tree(self, process: subprocess.Popen) -> None:\n \"\"\"\n 强制终止进程树\n \n 当使用 shell=True 时，process.pid 是 shell 的 PID。\n 如果不杀掉整个进程组，shell 的子进程（实际工具）会变成孤儿进程继续运行。\n \"\"\"\n if process.poll() is not None:\n return\n\n try:\n # 尝试杀掉进程组（需要进程启动时设置 start_new_session=True）\n os.killpg(os.getpgid(process.pid), signal.SIGKILL)\n logger.debug(f\"已终止进程组: PGID={process.pid}\")\n except ProcessLookupError:\n pass # 进程已不存在\n except Exception as e:\n logger.warning(f\"终止进程组失败 ({e})，尝试普通 kill\")\n try:\n process.kill()\n except Exception:\n pass\n\n def execute_and_wait(\n self,\n tool_name: str,\n command: str,\n timeout: int,\n log_file: Optional[str] = None\n ) -> Dict[str, Any]:\n \"\"\"\n 等待式执行：启动命令并等待完成\n \n 适用场景：工具输出到文件（如 subfinder -o output.txt）\n \n Args:\n tool_name: 工具名称（用于日志）\n command: 完整的扫描命令（包含输出文件参数）\n timeout: 超时时间（秒）\n log_file: 日志文件路径（可选，None 表示丢弃 stderr）\n \n Returns:\n dict: {\n 'success': bool, # 命令是否成功执行（returncode == 0）\n 'returncode': int, # 命令退出码\n 'log_file': str | None # 日志文件路径\n }\n \n Raises:\n ValueError: 参数验证失败\n RuntimeError: 执行失败或超时\n \"\"\"\n global _ACTIVE_COMMANDS\n\n # 验证参数\n if not tool_name:\n raise ValueError(\"工具名称不能为空\")\n if not command:\n raise ValueError(\"扫描命令不能为空\")\n if timeout <= 0:\n raise ValueError(f\"超时时间必须大于0: {timeout}\")\n \n \n logger.info(\"开始运行扫描工具: %s\", tool_name)\n \n # 准备日志文件\n log_file_path = Path(log_file) if log_file else None\n \n # 记录开始时间（用于计算执行时间）\n start_time = datetime.now()\n \n # 初始化性能追踪器\n perf_tracker = _get_command_tracker(tool_name, command)\n perf_tracker.start()\n \n process = None\n log_file_handle = None\n acquired_slot = False # 标记是否已增加全局活动命令计数\n \n try:\n # 在启动新的外部命令之前，先根据 CPU/内存负载判断是否需要等待\n _wait_for_system_load()\n\n acquired_slot = True\n if _ACTIVE_COMMANDS_LOCK:\n with _ACTIVE_COMMANDS_LOCK:\n _ACTIVE_COMMANDS += 1\n current_active = _ACTIVE_COMMANDS\n else:\n current_active = 0\n logger.info(\n \"登记活动命令计数: tool=%s, active=%d\",\n tool_name,\n current_active,\n )\n \n logger.debug(\"执行命令: %s\", command)\n if log_file_path:\n logger.debug(\"日志文件: %s\", log_file_path)\n else:\n logger.debug(\"日志输出: 丢弃\")\n \n # 准备输出流\n stdout_target = subprocess.DEVNULL\n stderr_target = subprocess.DEVNULL\n \n if log_file_path:\n # 先写入命令开始信息\n if ENABLE_COMMAND_LOGGING:\n self._write_command_start_header(log_file_path, tool_name, command, timeout)\n \n # 以追加模式打开日志文件\n log_file_handle = open(log_file_path, 'a', encoding='utf-8', buffering=1)\n if ENABLE_COMMAND_LOGGING:\n stdout_target = log_file_handle\n stderr_target = subprocess.STDOUT\n else:\n stderr_target = log_file_handle\n\n # 启动进程\n # 使用 start_new_session=True 创建新会话，使子进程成为新进程组的首领\n # 这样我们可以通过 killpg 杀掉整个进程树\n process = subprocess.Popen(\n command,\n stdin=subprocess.DEVNULL,\n shell=True,\n stdout=stdout_target,\n stderr=stderr_target,\n text=True,\n start_new_session=True\n )\n \n # 设置进程 PID 用于性能追踪\n perf_tracker.set_pid(process.pid)\n \n # 等待完成\n process.communicate(timeout=timeout)\n \n # 检查执行结果\n returncode = process.returncode\n success = (returncode == 0)\n \n # 计算执行时间\n duration = (datetime.now() - start_time).total_seconds()\n \n # 追加命令结束信息（如果开启且有日志文件）\n if log_file_path and ENABLE_COMMAND_LOGGING:\n self._write_command_end_footer(log_file_path, tool_name, duration, returncode, success)\n command_log_file = str(log_file_path) if log_file_path else None\n \n if not success:\n # 命令执行失败，尝试读取错误日志\n error_output = \"\"\n if log_file_path:\n error_output = self._read_log_tail(log_file_path, max_lines=MAX_LOG_TAIL_LINES)\n logger.warning(\n \"扫描工具 %s 返回非零状态码: %d (执行时间: %.2f秒)\",\n tool_name, returncode, duration\n )\n if error_output:\n for line in error_output.strip().split('\\n'):\n if line.strip():\n logger.warning(\"%s\", line)\n else:\n logger.info(\"✓ 扫描工具 %s 执行完成 (执行时间: %.2f秒)\", tool_name, duration)\n \n # 记录性能日志\n perf_tracker.finish(success=success, duration=duration, timeout=timeout)\n \n return {\n 'success': success,\n 'returncode': returncode,\n 'log_file': str(log_file_path) if log_file_path else None,\n 'command_log_file': command_log_file,\n 'duration': duration\n }\n \n except subprocess.TimeoutExpired as e:\n # 计算超时时的执行时间\n duration = (datetime.now() - start_time).total_seconds()\n \n # 追加超时结束信息\n if log_file_path and ENABLE_COMMAND_LOGGING:\n self._write_command_end_footer(log_file_path, tool_name, duration, -1, False)\n \n # 记录性能日志（超时）\n perf_tracker.finish(success=False, duration=duration, timeout=timeout, is_timeout=True)\n \n error_msg = f\"扫描工具 {tool_name} 执行超时（{timeout}秒，实际执行: {duration:.2f}秒）\"\n logger.error(error_msg)\n if log_file_path and log_file_path.exists():\n logger.debug(\"超时日志已保存: %s\", log_file_path)\n raise RuntimeError(error_msg) from e\n \n except subprocess.SubprocessError as e:\n error_msg = f\"扫描工具 {tool_name} 执行失败: {e}\"\n logger.error(error_msg)\n raise RuntimeError(error_msg) from e\n \n except Exception as e:\n # 捕获所有异常（包括 Prefect 取消引发的 CancelledError 等）\n # 确保在 finally 块中清理进程\n error_msg = f\"扫描工具 {tool_name} 执行异常（可能是被中断）: {e}\"\n logger.error(error_msg, exc_info=True)\n raise\n \n finally:\n # 关键修复：确保进程树被清理\n if process:\n self._kill_process_tree(process)\n \n # 关闭文件句柄\n if log_file_handle:\n try:\n log_file_handle.close()\n except Exception:\n pass\n \n if acquired_slot:\n if _ACTIVE_COMMANDS_LOCK:\n with _ACTIVE_COMMANDS_LOCK:\n if _ACTIVE_COMMANDS > 0:\n _ACTIVE_COMMANDS -= 1\n current_active = _ACTIVE_COMMANDS\n else:\n current_active = 0\n logger.info(\n \"释放活动命令计数: tool=%s, active=%d\",\n tool_name,\n current_active,\n )\n \n def execute_stream(\n self,\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n encoding: str = 'utf-8',\n suffix_char: Optional[str] = None,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n ) -> Generator[str, None, None]:\n \"\"\"\n 流式执行：逐行返回输出\n \n 适用场景：工具流式输出 JSON（如 naabu -json）\n \n Args:\n cmd: 要执行的命令\n tool_name: 工具名称（用于日志记录）\n cwd: 工作目录\n shell: 是否使用 shell 执行\n encoding: 编码格式\n suffix_char: 末尾后缀字符（用于移除）\n timeout: 命令执行超时时间（秒），None 表示不设置超时\n log_file: 日志文件路径（可选）\n \n Yields:\n str: 每行输出的内容（已处理：去空白、去ANSI、去后缀）\n \n Raises:\n subprocess.TimeoutExpired: 命令执行超时\n \"\"\"\n \n global _ACTIVE_COMMANDS\n\n # 记录开始时间（用于命令日志）\n start_time = datetime.now()\n acquired_slot = False\n \n # 初始化性能追踪器\n perf_tracker = _get_command_tracker(tool_name, cmd)\n perf_tracker.start()\n \n # 准备日志文件路径\n log_file_path = Path(log_file) if log_file else None\n if log_file_path:\n logger.debug(f\"日志文件: {log_file_path}\")\n else:\n logger.debug(\"日志输出: 丢弃\")\n \n # 根据是否使用shell来格式化命令\n command = cmd if shell else cmd.split()\n \n # 日志文件句柄\n log_file_handle = None\n\n # 启动子进程，根据日志策略决定输出方向\n if log_file_path:\n # 先写入命令开始信息\n if ENABLE_COMMAND_LOGGING:\n self._write_command_start_header(log_file_path, tool_name, cmd, timeout)\n \n # 以追加模式打开日志文件（开始信息已写入）\n log_file_handle = open(log_file_path, 'a', encoding='utf-8', buffering=1)\n \n stdout_target = subprocess.PIPE\n stderr_target = log_file_handle\n if ENABLE_COMMAND_LOGGING:\n stderr_target = subprocess.STDOUT\n \n if not acquired_slot:\n # 日志模式下，在真正启动进程前做一次负载检查，并登记活动命令计数\n _wait_for_system_load()\n acquired_slot = True\n if _ACTIVE_COMMANDS_LOCK:\n with _ACTIVE_COMMANDS_LOCK:\n _ACTIVE_COMMANDS += 1\n current_active = _ACTIVE_COMMANDS\n else:\n current_active = 0\n logger.info(\n \"登记活动命令计数: tool=%s, active=%d\",\n tool_name,\n current_active,\n )\n \n process = subprocess.Popen(\n command,\n stdin=subprocess.DEVNULL,\n stdout=stdout_target,\n stderr=stderr_target,\n cwd=cwd,\n universal_newlines=True,\n encoding=encoding,\n shell=shell,\n start_new_session=True # 关键：创建新进程组\n )\n else:\n # 无日志文件：正常流式输出\n if not acquired_slot:\n # 非日志模式，同样在启动进程前做一次负载检查，并登记活动命令计数\n _wait_for_system_load()\n acquired_slot = True\n if _ACTIVE_COMMANDS_LOCK:\n with _ACTIVE_COMMANDS_LOCK:\n _ACTIVE_COMMANDS += 1\n current_active = _ACTIVE_COMMANDS\n else:\n current_active = 0\n logger.info(\n \"登记活动命令计数: tool=%s, active=%d\",\n tool_name,\n current_active,\n )\n \n process = subprocess.Popen(\n command,\n stdin=subprocess.DEVNULL,\n stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT,\n cwd=cwd,\n universal_newlines=True,\n encoding=encoding,\n shell=shell,\n start_new_session=True # 关键：创建新进程组\n )\n \n # 设置进程 PID 用于性能追踪\n perf_tracker.set_pid(process.pid)\n \n # 超时控制：使用 Timer 在指定时间后终止进程\n timed_out_event = threading.Event()\n \n def _kill_when_timeout():\n timed_out_event.set()\n if process.poll() is None: # 进程还在运行\n logger.warning(f\"命令执行超时（{timeout}秒），正在终止进程: {cmd}\")\n self._kill_process_tree(process) # 使用新的终止方法\n \n timer = None\n if timeout is not None:\n timer = threading.Timer(timeout, _kill_when_timeout)\n timer.start()\n\n try:\n # 逐行读取进程输出\n stdout = process.stdout\n assert stdout is not None, \"stdout should not be None when stdout=PIPE\"\n \n for line in iter(lambda: stdout.readline(), ''):\n if not line:\n break\n \n # 统一字符处理\n cleaned_line = self._clean_output_line(line, suffix_char)\n if cleaned_line is None:\n continue # 跳过空行\n line = cleaned_line\n \n # 如果开启命令日志且有日志文件，同时写入日志文件\n if log_file_handle and ENABLE_COMMAND_LOGGING:\n log_file_handle.write(line + '\\n')\n log_file_handle.flush()\n \n # 直接返回行内容，由调用者负责解析\n yield line\n \n finally:\n # 1. 停止定时器（如果还没触发）\n if timer:\n timer.cancel()\n timer.join(timeout=0.1) # 等待 timer 线程完全结束，避免悬挂\n \n # 2. 清理进程资源\n exit_code = None\n \n if timed_out_event.is_set():\n # 超时情况：定时器已经处理了进程终止，只需获取退出码\n logger.debug(\"进程已被超时定时器终止，等待进程结束\")\n try:\n exit_code = process.wait(timeout=1.0) # 等待进程完全退出\n except subprocess.TimeoutExpired:\n logger.warning(\"进程在超时后仍未退出，强制终止\")\n self._kill_process_tree(process)\n exit_code = -1\n else:\n # 正常结束：等待进程自然结束\n # 如果是被外部中断（如 CancelledError），poll() 应为 None，需要 kill\n if process.poll() is None:\n logger.info(f\"流式执行被中断，清理进程: {tool_name}\")\n self._kill_process_tree(process)\n \n try:\n exit_code = process.wait(timeout=GRACEFUL_SHUTDOWN_TIMEOUT)\n except subprocess.TimeoutExpired:\n logger.warning(\n \"程序未能在%d秒内自然结束，强制终止: %s\",\n GRACEFUL_SHUTDOWN_TIMEOUT, cmd\n )\n self._kill_process_tree(process)\n exit_code = -2\n \n # 3. 关闭进程流\n if process.stdout:\n process.stdout.close()\n if process.stderr:\n process.stderr.close()\n \n # 4. 关闭日志文件句柄\n if log_file_handle:\n log_file_handle.close()\n \n # 5. 追加命令结束信息（如果开启且有日志文件）\n duration = (datetime.now() - start_time).total_seconds()\n success = not timed_out_event.is_set() and (exit_code == 0 if exit_code is not None else True)\n \n if log_file_path and ENABLE_COMMAND_LOGGING:\n # 追加结束信息到日志文件末尾\n self._write_command_end_footer(log_file_path, tool_name, duration, exit_code or 0, success)\n \n # 6. 记录性能日志\n perf_tracker.finish(success=success, duration=duration, timeout=timeout, is_timeout=timed_out_event.is_set())\n \n if acquired_slot:\n if _ACTIVE_COMMANDS_LOCK:\n with _ACTIVE_COMMANDS_LOCK:\n if _ACTIVE_COMMANDS > 0:\n _ACTIVE_COMMANDS -= 1\n current_active = _ACTIVE_COMMANDS\n else:\n current_active = 0\n logger.info(\n \"释放活动命令计数: tool=%s, active=%d\",\n tool_name,\n current_active,\n )\n \n def _read_log_tail(self, log_file: Path, max_lines: int = MAX_LOG_TAIL_LINES) -> str:\n \"\"\"\n 读取日志文件的末尾部分（常量内存实现）\n\n 使用 seek 从文件末尾往前读取，避免将整个文件加载到内存。\n\n Args:\n log_file: 日志文件路径\n max_lines: 最大读取行数\n\n Returns:\n 日志内容（字符串），读取失败返回错误提示\n \"\"\"\n if not log_file.exists():\n logger.debug(\"日志文件不存在: %s\", log_file)\n return \"\"\n\n file_size = log_file.stat().st_size\n if file_size == 0:\n logger.debug(\"日志文件为空: %s\", log_file)\n return \"\"\n\n # 每次读取的块大小（8KB，足够容纳大多数日志行）\n chunk_size = 8192\n\n def decode_line(line_bytes: bytes) -> str:\n \"\"\"解码单行：优先 UTF-8，失败则降级 latin-1\"\"\"\n try:\n return line_bytes.decode('utf-8')\n except UnicodeDecodeError:\n return line_bytes.decode('latin-1', errors='replace')\n\n try:\n with open(log_file, 'rb') as f:\n lines_found: deque[bytes] = deque()\n remaining = b''\n position = file_size\n\n while position > 0 and len(lines_found) < max_lines:\n read_size = min(chunk_size, position)\n position -= read_size\n\n f.seek(position)\n chunk = f.read(read_size) + remaining\n parts = chunk.split(b'\\n')\n\n # 最前面的部分可能不完整，留到下次处理\n remaining = parts[0]\n\n # 其余部分是完整的行（从后往前收集，用 appendleft 保持顺序）\n for part in reversed(parts[1:]):\n if len(lines_found) >= max_lines:\n break\n lines_found.appendleft(part)\n\n # 处理文件开头的行\n if remaining and len(lines_found) < max_lines:\n lines_found.appendleft(remaining)\n\n return '\\n'.join(decode_line(line) for line in lines_found)\n\n except PermissionError as e:\n logger.warning(\"日志文件权限不足 (%s): %s\", log_file, e)\n return \"(无法读取日志文件: 权限不足)\"\n except IOError as e:\n logger.warning(\"日志文件读取IO错误 (%s): %s\", log_file, e)\n return f\"(无法读取日志文件: IO错误 - {e})\"\n except Exception as e:\n logger.warning(\"读取日志文件失败 (%s): %s\", log_file, e, exc_info=True)\n return f\"(无法读取日志文件: {type(e).__name__} - {e})\"\n\n\n# 单例实例\n_executor = CommandExecutor()\n\n\n# 快捷函数\ndef execute_and_wait(\n tool_name: str,\n command: str,\n timeout: int,\n log_file: Optional[str] = None\n) -> Dict[str, Any]:\n \"\"\"\n 等待式执行命令（快捷函数）\n \n 适用场景：工具输出到文件（如 subfinder -o output.txt）\n \n Args:\n tool_name: 工具名称\n command: 扫描命令（包含输出文件参数）\n timeout: 超时时间（秒）\n log_file: 日志文件路径（可选）\n \n Returns:\n 执行结果字典（包含 duration 字段）\n \n Raises:\n RuntimeError: 执行失败或超时\n \"\"\"\n return _executor.execute_and_wait(tool_name, command, timeout, log_file)\n\n\ndef execute_stream(\n cmd: str,\n tool_name: str,\n cwd: Optional[str] = None,\n shell: bool = False,\n encoding: str = 'utf-8',\n suffix_char: Optional[str] = None,\n timeout: Optional[int] = None,\n log_file: Optional[str] = None\n) -> Generator[str, None, None]:\n \"\"\"\n 流式执行命令（快捷函数）\n \n 适用场景：工具流式输出 JSON（如 naabu -json）\n \n Args:\n cmd: 要执行的命令\n tool_name: 工具名称\n cwd: 工作目录\n shell: 是否使用 shell 执行\n encoding: 编码格式\n suffix_char: 末尾后缀字符\n timeout: 命令执行超时时间（秒）\n log_file: 日志文件路径（可选）\n \n Yields:\n str: 每行输出的内容\n \n Raises:\n subprocess.TimeoutExpired: 命令执行超时\n \"\"\"\n return _executor.execute_stream(cmd, tool_name, cwd, shell, encoding, suffix_char, timeout, log_file)\n" }, { "path": "backend/apps/scan/utils/config_merger.py", "content": "\"\"\"\n配置合并工具模块\n\n提供多引擎 YAML 配置的冲突检测和合并功能。\n\"\"\"\n\nfrom typing import List, Tuple\n\nimport yaml\n\n\nclass ConfigConflictError(Exception):\n \"\"\"配置冲突异常\n \n 当两个或多个引擎定义相同的顶层扫描类型键时抛出。\n \"\"\"\n \n def __init__(self, conflicts: List[Tuple[str, str, str]]):\n \"\"\"\n 参数:\n conflicts: (键, 引擎1名称, 引擎2名称) 元组列表\n \"\"\"\n self.conflicts = conflicts\n msg = \"; \".join([f\"{k} 同时存在于「{e1}」和「{e2}」\" for k, e1, e2 in conflicts])\n super().__init__(f\"扫描类型冲突: {msg}\")\n\n\ndef merge_engine_configs(engines: List[Tuple[str, str]]) -> str:\n \"\"\"\n 合并多个引擎的 YAML 配置。\n \n 参数:\n engines: (引擎名称, 配置YAML) 元组列表\n \n 返回:\n 合并后的 YAML 字符串\n \n 异常:\n ConfigConflictError: 当顶层键冲突时\n \"\"\"\n if not engines:\n return \"\"\n \n if len(engines) == 1:\n return engines[0][1]\n \n # 追踪每个顶层键属于哪个引擎\n key_to_engine: dict[str, str] = {}\n conflicts: List[Tuple[str, str, str]] = []\n \n for engine_name, config_yaml in engines:\n if not config_yaml or not config_yaml.strip():\n continue\n \n try:\n parsed = yaml.safe_load(config_yaml)\n except yaml.YAMLError:\n # 无效 YAML 跳过\n continue\n \n if not isinstance(parsed, dict):\n continue\n \n # 检查顶层键冲突\n for key in parsed.keys():\n if key in key_to_engine:\n conflicts.append((key, key_to_engine[key], engine_name))\n else:\n key_to_engine[key] = engine_name\n \n if conflicts:\n raise ConfigConflictError(conflicts)\n \n # 无冲突，用双换行符连接配置\n configs = []\n for _, config_yaml in engines:\n if config_yaml and config_yaml.strip():\n configs.append(config_yaml.strip())\n \n return \"\\n\\n\".join(configs)\n" }, { "path": "backend/apps/scan/utils/config_parser.py", "content": "\"\"\"\n配置解析器\n\n负责解析引擎配置（YAML）并提取启用的工具及其配置。\n\n架构说明：\n- 命令模板：在 command_templates.py 中定义（基础命令 + 可选参数映射）\n- 工具配置：从引擎配置（engine_config YAML 字符串）读取\n- 无默认配置文件：所有配置必须在引擎配置中提供\n\n核心函数：\n- parse_enabled_tools_from_dict(): 解析并过滤启用的工具，返回工具配置字典\n\n返回格式：\n- {'subfinder': {'enabled': True, 'threads': 10, 'timeout': 600}}\n- timeout 是必需参数，支持整数或 'auto'（由具体 Flow 处理）\n\"\"\"\n\nimport logging\nfrom typing import Dict, Any\n\nlogger = logging.getLogger(__name__)\n\n\ndef _normalize_config_keys(config: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n 将配置字典的 key 中划线转换为下划线\n \n 规范约定：\n - 配置文件统一用中划线（贴近 CLI 参数风格）\n - 代码里统一用下划线（Python 标识符规范）\n - 此处自动转换：rate-limit → rate_limit\n \n Args:\n config: 原始配置字典\n \n Returns:\n key 已转换的新字典\n \n Raises:\n ValueError: 配置为 None 或非字典类型时抛出\n \"\"\"\n if config is None:\n raise ValueError(\"配置不能为空（None），请检查 YAML 格式，确保冒号后有配置内容或使用 {} 表示空配置\")\n if not isinstance(config, dict):\n raise ValueError(f\"配置格式错误：期望 dict，实际 {type(config).__name__}\")\n return {\n k.replace('-', '_') if isinstance(k, str) else k: v\n for k, v in config.items()\n }\n\n\ndef _parse_subdomain_discovery_config(scan_config: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n 解析子域名发现配置（4阶段流程）\n \n 配置格式：\n {\n 'passive_tools': {'subfinder': {...}, ...},\n 'bruteforce': {'enabled': True, 'subdomain_bruteforce': {...}},\n 'permutation': {'enabled': True, 'subdomain_permutation_resolve': {...}},\n 'resolve': {'enabled': True, 'subdomain_resolve': {...}}\n }\n \n Args:\n scan_config: subdomain_discovery 的配置字典\n \n Returns:\n 配置字典，供 Flow 使用\n \"\"\"\n if 'passive_tools' not in scan_config:\n logger.warning(\"子域名发现配置缺少 passive_tools\")\n return {}\n \n result = {}\n \n # Stage 1: 被动收集工具\n passive_tools = scan_config.get('passive_tools', {})\n enabled_passive = {}\n for name, config in passive_tools.items():\n if isinstance(config, dict) and config.get('enabled', False):\n enabled_passive[name] = _normalize_config_keys(config)\n result['passive_tools'] = enabled_passive\n \n # Stage 2: 字典爆破（可选）\n bruteforce = scan_config.get('bruteforce', {})\n if bruteforce.get('enabled', False):\n # 转换内部工具配置的 key\n normalized_bruteforce = _normalize_config_keys(bruteforce)\n if 'subdomain_bruteforce' in normalized_bruteforce:\n normalized_bruteforce['subdomain_bruteforce'] = _normalize_config_keys(\n normalized_bruteforce['subdomain_bruteforce']\n )\n result['bruteforce'] = normalized_bruteforce\n \n # Stage 3: 变异生成（可选）\n permutation = scan_config.get('permutation', {})\n if permutation.get('enabled', False):\n normalized_permutation = _normalize_config_keys(permutation)\n if 'subdomain_permutation_resolve' in normalized_permutation:\n normalized_permutation['subdomain_permutation_resolve'] = _normalize_config_keys(\n normalized_permutation['subdomain_permutation_resolve']\n )\n result['permutation'] = normalized_permutation\n \n # Stage 4: 存活验证（可选）\n resolve = scan_config.get('resolve', {})\n if resolve.get('enabled', False):\n normalized_resolve = _normalize_config_keys(resolve)\n if 'subdomain_resolve' in normalized_resolve:\n normalized_resolve['subdomain_resolve'] = _normalize_config_keys(\n normalized_resolve['subdomain_resolve']\n )\n result['resolve'] = normalized_resolve\n \n logger.info(\n f\"子域名发现: passive={len(enabled_passive)}, \"\n f\"bruteforce={'bruteforce' in result}, \"\n f\"permutation={'permutation' in result}, \"\n f\"resolve={'resolve' in result}\"\n )\n return result\n\n\ndef parse_enabled_tools_from_dict(\n scan_type: str,\n parsed_config: Dict[str, Any]\n) -> Dict[str, Dict[str, Any]]:\n \"\"\"\n 从解析后的配置字典中获取启用的工具及其配置\n \n Args:\n scan_type: 扫描类型 (subdomain_discovery, port_scan, site_scan, directory_scan)\n parsed_config: 已解析的配置字典\n \n Returns:\n 启用的工具配置字典 {tool_name: tool_config}\n 对于 subdomain_discovery，返回完整的配置结构（支持4阶段增强流程）\n \n Raises:\n ValueError: 配置格式错误或必需参数缺失/无效时抛出\n \"\"\"\n if not parsed_config:\n logger.warning(f\"配置字典为空 - scan_type: {scan_type}\")\n return {}\n \n if scan_type not in parsed_config:\n logger.warning(f\"配置中未找到扫描类型: {scan_type}\")\n return {}\n \n scan_config = parsed_config[scan_type]\n \n # 子域名发现支持增强配置格式（4阶段）\n if scan_type == 'subdomain_discovery':\n return _parse_subdomain_discovery_config(scan_config)\n \n if 'tools' not in scan_config:\n logger.warning(f\"扫描类型 {scan_type} 未配置任何工具\")\n return {}\n \n tools = scan_config['tools']\n \n # 过滤出启用的工具\n enabled_tools = {}\n for name, config in tools.items():\n if not isinstance(config, dict):\n raise ValueError(f\"工具 {name} 配置格式错误：期望 dict，实际 {type(config).__name__}\")\n \n # 检查是否启用（默认为 False）\n enabled_value = config.get('enabled', False)\n \n # 验证 enabled 字段类型\n if not isinstance(enabled_value, bool):\n raise ValueError(\n f\"工具 {name} 的 enabled 字段类型错误：期望 bool，实际 {type(enabled_value).__name__}\"\n )\n \n if enabled_value:\n # timeout 默认为 'auto'，由具体 Flow 自动计算\n timeout_value = config.get('timeout', 'auto')\n \n # 验证 timeout 值的有效性\n if timeout_value != 'auto':\n if isinstance(timeout_value, int):\n if timeout_value <= 0:\n raise ValueError(f\"工具 {name} 的 timeout 参数无效（{timeout_value}），必须大于0\")\n else:\n raise ValueError(\n f\"工具 {name} 的 timeout 参数类型错误：期望 int 或 'auto'，实际 {type(timeout_value).__name__}\"\n )\n \n # 将配置 key 中划线转为下划线，统一给下游代码使用\n normalized_config = _normalize_config_keys(config)\n normalized_config['timeout'] = timeout_value # 确保 timeout 存在\n enabled_tools[name] = normalized_config\n \n logger.info(f\"扫描类型: {scan_type}, 启用工具: {len(enabled_tools)}/{len(tools)}\")\n \n return enabled_tools\n" }, { "path": "backend/apps/scan/utils/directory_cleanup.py", "content": "\"\"\"\n目录清理工具模块\n\n提供通用的目录清理功能\n\"\"\"\n\nimport logging\nimport shutil\nfrom pathlib import Path\n\nlogger = logging.getLogger(__name__)\n\n\ndef remove_directory(directory: str) -> bool:\n \"\"\"\n 删除目录及其所有内容\n \n Args:\n directory: 目录路径\n \n Returns:\n 是否删除成功\n \n Warning:\n 此函数会永久删除目录及其所有内容，请谨慎使用！\n \n Example:\n >>> remove_directory('/path/to/directory')\n True\n \"\"\"\n if not directory:\n logger.warning(\"目录路径为空，跳过删除\")\n return False\n \n try:\n dir_path = Path(directory)\n \n if not dir_path.exists():\n logger.warning(\"目录不存在，无需删除 - Path: %s\", directory)\n return True\n \n # 删除整个目录\n shutil.rmtree(dir_path)\n \n logger.info(\"✓ 目录已删除 - Path: %s\", directory)\n return True\n \n except PermissionError as e:\n logger.error(\"权限不足，无法删除目录 - Path: %s, 错误: %s\", directory, e)\n return False\n \n except Exception as e: # noqa: BLE001\n logger.exception(\"删除目录失败 - Path: %s, 错误: %s\", directory, e)\n return False\n\n\n__all__ = [\n 'remove_directory',\n]\n\n" }, { "path": "backend/apps/scan/utils/fingerprint_helpers.py", "content": "\"\"\"指纹文件本地缓存工具\n\n提供 Worker 侧的指纹文件缓存和版本校验功能，用于：\n- 指纹识别扫描 (fingerprint_detect_flow)\n\"\"\"\n\nimport json\nimport logging\nimport os\n\nfrom django.conf import settings\n\nlogger = logging.getLogger(__name__)\n\n\n# 指纹库映射：lib_name → ensure_func_name\nFINGERPRINT_LIB_MAP = {\n 'ehole': 'ensure_ehole_fingerprint_local',\n 'goby': 'ensure_goby_fingerprint_local',\n 'wappalyzer': 'ensure_wappalyzer_fingerprint_local',\n 'fingers': 'ensure_fingers_fingerprint_local',\n 'fingerprinthub': 'ensure_fingerprinthub_fingerprint_local',\n 'arl': 'ensure_arl_fingerprint_local',\n}\n\n\ndef ensure_ehole_fingerprint_local() -> str:\n \"\"\"\n 确保本地存在最新的 EHole 指纹文件（带缓存）\n \n 流程：\n 1. 获取当前指纹库版本\n 2. 检查缓存文件是否存在且版本匹配\n 3. 版本不匹配则重新导出\n \n Returns:\n str: 本地指纹文件路径\n \n 使用场景：\n Worker 执行扫描任务前调用，获取最新指纹文件路径\n \"\"\"\n from apps.engine.services.fingerprints import EholeFingerprintService\n \n service = EholeFingerprintService()\n current_version = service.get_fingerprint_version()\n \n # 缓存目录和文件\n base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints')\n os.makedirs(base_dir, exist_ok=True)\n cache_file = os.path.join(base_dir, 'ehole.json')\n version_file = os.path.join(base_dir, 'ehole.version')\n \n # 检查缓存版本\n cached_version = None\n if os.path.exists(version_file):\n try:\n with open(version_file, 'r') as f:\n cached_version = f.read().strip()\n except OSError as e:\n logger.warning(\"读取版本文件失败: %s\", e)\n \n # 版本匹配，直接返回缓存\n if cached_version == current_version and os.path.exists(cache_file):\n logger.info(\"EHole 指纹文件缓存有效（版本匹配）: %s\", cache_file)\n return cache_file\n \n # 版本不匹配，重新导出\n logger.info(\n \"EHole 指纹文件需要更新: cached=%s, current=%s\",\n cached_version, current_version\n )\n count = service.export_to_file(cache_file)\n \n # 写入版本文件\n try:\n with open(version_file, 'w') as f:\n f.write(current_version)\n except OSError as e:\n logger.warning(\"写入版本文件失败: %s\", e)\n \n logger.info(\"EHole 指纹文件已更新: %s\", cache_file)\n return cache_file\n\n\ndef ensure_goby_fingerprint_local() -> str:\n \"\"\"\n 确保本地存在最新的 Goby 指纹文件（带缓存）\n \n Returns:\n str: 本地指纹文件路径\n \"\"\"\n from apps.engine.services.fingerprints import GobyFingerprintService\n \n service = GobyFingerprintService()\n current_version = service.get_fingerprint_version()\n \n # 缓存目录和文件\n base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints')\n os.makedirs(base_dir, exist_ok=True)\n cache_file = os.path.join(base_dir, 'goby.json')\n version_file = os.path.join(base_dir, 'goby.version')\n \n # 检查缓存版本\n cached_version = None\n if os.path.exists(version_file):\n try:\n with open(version_file, 'r') as f:\n cached_version = f.read().strip()\n except OSError as e:\n logger.warning(\"读取 Goby 版本文件失败: %s\", e)\n \n # 版本匹配，直接返回缓存\n if cached_version == current_version and os.path.exists(cache_file):\n logger.info(\"Goby 指纹文件缓存有效（版本匹配）: %s\", cache_file)\n return cache_file\n \n # 版本不匹配，重新导出\n logger.info(\n \"Goby 指纹文件需要更新: cached=%s, current=%s\",\n cached_version, current_version\n )\n # Goby 导出格式是数组，直接写入\n data = service.get_export_data()\n with open(cache_file, 'w', encoding='utf-8') as f:\n json.dump(data, f, ensure_ascii=False)\n \n # 写入版本文件\n try:\n with open(version_file, 'w') as f:\n f.write(current_version)\n except OSError as e:\n logger.warning(\"写入 Goby 版本文件失败: %s\", e)\n \n logger.info(\"Goby 指纹文件已更新: %s\", cache_file)\n return cache_file\n\n\ndef ensure_wappalyzer_fingerprint_local() -> str:\n \"\"\"\n 确保本地存在最新的 Wappalyzer 指纹文件（带缓存）\n \n Returns:\n str: 本地指纹文件路径\n \"\"\"\n from apps.engine.services.fingerprints import WappalyzerFingerprintService\n \n service = WappalyzerFingerprintService()\n current_version = service.get_fingerprint_version()\n \n # 缓存目录和文件\n base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints')\n os.makedirs(base_dir, exist_ok=True)\n cache_file = os.path.join(base_dir, 'wappalyzer.json')\n version_file = os.path.join(base_dir, 'wappalyzer.version')\n \n # 检查缓存版本\n cached_version = None\n if os.path.exists(version_file):\n try:\n with open(version_file, 'r') as f:\n cached_version = f.read().strip()\n except OSError as e:\n logger.warning(\"读取 Wappalyzer 版本文件失败: %s\", e)\n \n # 版本匹配，直接返回缓存\n if cached_version == current_version and os.path.exists(cache_file):\n logger.info(\"Wappalyzer 指纹文件缓存有效（版本匹配）: %s\", cache_file)\n return cache_file\n \n # 版本不匹配，重新导出\n logger.info(\n \"Wappalyzer 指纹文件需要更新: cached=%s, current=%s\",\n cached_version, current_version\n )\n # Wappalyzer 导出格式是 {\"apps\": {...}}\n data = service.get_export_data()\n with open(cache_file, 'w', encoding='utf-8') as f:\n json.dump(data, f, ensure_ascii=False)\n \n # 写入版本文件\n try:\n with open(version_file, 'w') as f:\n f.write(current_version)\n except OSError as e:\n logger.warning(\"写入 Wappalyzer 版本文件失败: %s\", e)\n \n logger.info(\"Wappalyzer 指纹文件已更新: %s\", cache_file)\n return cache_file\n\n\ndef get_fingerprint_paths(lib_names: list) -> dict:\n \"\"\"\n 获取多个指纹库的本地路径\n \n Args:\n lib_names: 指纹库名称列表，如 ['ehole', 'goby']\n \n Returns:\n dict: {lib_name: local_path}，如 {'ehole': '/opt/xingrin/fingerprints/ehole.json'}\n \n 示例：\n paths = get_fingerprint_paths(['ehole'])\n # {'ehole': '/opt/xingrin/fingerprints/ehole.json'}\n \"\"\"\n paths = {}\n for lib_name in lib_names:\n if lib_name not in FINGERPRINT_LIB_MAP:\n logger.warning(\"不支持的指纹库: %s，跳过\", lib_name)\n continue\n \n ensure_func_name = FINGERPRINT_LIB_MAP[lib_name]\n # 获取当前模块中的函数\n ensure_func = globals().get(ensure_func_name)\n if ensure_func is None:\n logger.warning(\"指纹库 %s 的导出函数 %s 未实现，跳过\", lib_name, ensure_func_name)\n continue\n \n try:\n paths[lib_name] = ensure_func()\n except Exception as e:\n logger.error(\"获取指纹库 %s 路径失败: %s\", lib_name, e)\n continue\n \n return paths\n\n\ndef ensure_fingers_fingerprint_local() -> str:\n \"\"\"\n 确保本地存在最新的 Fingers 指纹文件（带缓存）\n \n Returns:\n str: 本地指纹文件路径\n \"\"\"\n from apps.engine.services.fingerprints import FingersFingerprintService\n \n service = FingersFingerprintService()\n current_version = service.get_fingerprint_version()\n \n # 缓存目录和文件\n base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints')\n os.makedirs(base_dir, exist_ok=True)\n cache_file = os.path.join(base_dir, 'fingers.json')\n version_file = os.path.join(base_dir, 'fingers.version')\n \n # 检查缓存版本\n cached_version = None\n if os.path.exists(version_file):\n try:\n with open(version_file, 'r') as f:\n cached_version = f.read().strip()\n except OSError as e:\n logger.warning(\"读取 Fingers 版本文件失败: %s\", e)\n \n # 版本匹配，直接返回缓存\n if cached_version == current_version and os.path.exists(cache_file):\n logger.info(\"Fingers 指纹文件缓存有效（版本匹配）: %s\", cache_file)\n return cache_file\n \n # 版本不匹配，重新导出\n logger.info(\n \"Fingers 指纹文件需要更新: cached=%s, current=%s\",\n cached_version, current_version\n )\n data = service.get_export_data()\n with open(cache_file, 'w', encoding='utf-8') as f:\n json.dump(data, f, ensure_ascii=False)\n \n # 写入版本文件\n try:\n with open(version_file, 'w') as f:\n f.write(current_version)\n except OSError as e:\n logger.warning(\"写入 Fingers 版本文件失败: %s\", e)\n \n logger.info(\"Fingers 指纹文件已更新: %s\", cache_file)\n return cache_file\n\n\ndef ensure_fingerprinthub_fingerprint_local() -> str:\n \"\"\"\n 确保本地存在最新的 FingerPrintHub 指纹文件（带缓存）\n \n Returns:\n str: 本地指纹文件路径\n \"\"\"\n from apps.engine.services.fingerprints import FingerPrintHubFingerprintService\n \n service = FingerPrintHubFingerprintService()\n current_version = service.get_fingerprint_version()\n \n # 缓存目录和文件\n base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints')\n os.makedirs(base_dir, exist_ok=True)\n cache_file = os.path.join(base_dir, 'fingerprinthub.json')\n version_file = os.path.join(base_dir, 'fingerprinthub.version')\n \n # 检查缓存版本\n cached_version = None\n if os.path.exists(version_file):\n try:\n with open(version_file, 'r') as f:\n cached_version = f.read().strip()\n except OSError as e:\n logger.warning(\"读取 FingerPrintHub 版本文件失败: %s\", e)\n \n # 版本匹配，直接返回缓存\n if cached_version == current_version and os.path.exists(cache_file):\n logger.info(\"FingerPrintHub 指纹文件缓存有效（版本匹配）: %s\", cache_file)\n return cache_file\n \n # 版本不匹配，重新导出\n logger.info(\n \"FingerPrintHub 指纹文件需要更新: cached=%s, current=%s\",\n cached_version, current_version\n )\n data = service.get_export_data()\n with open(cache_file, 'w', encoding='utf-8') as f:\n json.dump(data, f, ensure_ascii=False)\n \n # 写入版本文件\n try:\n with open(version_file, 'w') as f:\n f.write(current_version)\n except OSError as e:\n logger.warning(\"写入 FingerPrintHub 版本文件失败: %s\", e)\n \n logger.info(\"FingerPrintHub 指纹文件已更新: %s\", cache_file)\n return cache_file\n\n\ndef ensure_arl_fingerprint_local() -> str:\n \"\"\"\n 确保本地存在最新的 ARL 指纹文件（带缓存）\n \n Returns:\n str: 本地指纹文件路径（YAML 格式）\n \"\"\"\n import yaml\n from apps.engine.services.fingerprints import ARLFingerprintService\n \n service = ARLFingerprintService()\n current_version = service.get_fingerprint_version()\n \n # 缓存目录和文件\n base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints')\n os.makedirs(base_dir, exist_ok=True)\n cache_file = os.path.join(base_dir, 'arl.yaml')\n version_file = os.path.join(base_dir, 'arl.version')\n \n # 检查缓存版本\n cached_version = None\n if os.path.exists(version_file):\n try:\n with open(version_file, 'r') as f:\n cached_version = f.read().strip()\n except OSError as e:\n logger.warning(\"读取 ARL 版本文件失败: %s\", e)\n \n # 版本匹配，直接返回缓存\n if cached_version == current_version and os.path.exists(cache_file):\n logger.info(\"ARL 指纹文件缓存有效（版本匹配）: %s\", cache_file)\n return cache_file\n \n # 版本不匹配，重新导出\n logger.info(\n \"ARL 指纹文件需要更新: cached=%s, current=%s\",\n cached_version, current_version\n )\n data = service.get_export_data()\n with open(cache_file, 'w', encoding='utf-8') as f:\n yaml.dump(data, f, allow_unicode=True, default_flow_style=False)\n \n # 写入版本文件\n try:\n with open(version_file, 'w') as f:\n f.write(current_version)\n except OSError as e:\n logger.warning(\"写入 ARL 版本文件失败: %s\", e)\n \n logger.info(\"ARL 指纹文件已更新: %s\", cache_file)\n return cache_file\n\n\n__all__ = [\n \"ensure_ehole_fingerprint_local\",\n \"ensure_goby_fingerprint_local\",\n \"ensure_wappalyzer_fingerprint_local\",\n \"ensure_fingers_fingerprint_local\",\n \"ensure_fingerprinthub_fingerprint_local\",\n \"ensure_arl_fingerprint_local\",\n \"get_fingerprint_paths\",\n \"FINGERPRINT_LIB_MAP\",\n]\n" }, { "path": "backend/apps/scan/utils/nuclei_helpers.py", "content": "\"\"\"Nuclei 模板 Worker 侧工具函数\n\n提供 Worker 侧确保本地模板与 Server 版本一致的功能。\n\n使用 Git commit hash 做版本校验：\n- 从数据库获取 Server 的 commit_hash\n- 检查本地仓库的 commit hash 是否一致\n- 不一致则 git fetch + git checkout 到指定 commit\n\n调用示例：\n template_path = ensure_nuclei_templates_local(\"nuclei-templates\")\n # 返回本地模板目录路径，可直接用于 nuclei -t 参数\n\"\"\"\n\nimport logging\nimport subprocess\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom django.conf import settings\n\nfrom apps.engine.models import NucleiTemplateRepo\n\nlogger = logging.getLogger(__name__)\n\n\ndef get_local_commit_hash(local_path: Path) -> Optional[str]:\n \"\"\"获取本地 Git 仓库的当前 commit hash\n\n Args:\n local_path: 本地仓库路径\n\n Returns:\n commit hash 字符串，失败返回 None\n \"\"\"\n if not (local_path / \".git\").is_dir():\n return None\n\n result = subprocess.run(\n [\"git\", \"-C\", str(local_path), \"rev-parse\", \"HEAD\"],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n if result.returncode == 0:\n return result.stdout.strip()\n return None\n\n\ndef git_clone(repo_url: str, local_path: Path) -> bool:\n \"\"\"Git clone 仓库\n\n Args:\n repo_url: 仓库 URL\n local_path: 本地路径\n\n Returns:\n 是否成功\n \"\"\"\n logger.info(\"正在 clone 模板仓库: %s -> %s\", repo_url, local_path)\n result = subprocess.run(\n [\"git\", \"clone\", \"--depth\", \"1\", repo_url, str(local_path)],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n if result.returncode != 0:\n logger.error(\"git clone 失败: %s\", result.stderr.strip())\n return False\n return True\n\n\ndef git_fetch_and_checkout(local_path: Path, commit_hash: str) -> bool:\n \"\"\"Git fetch 并 checkout 到指定 commit\n\n Args:\n local_path: 本地仓库路径\n commit_hash: 目标 commit hash\n\n Returns:\n 是否成功\n \"\"\"\n logger.info(\"正在同步模板到 commit: %s\", commit_hash[:8])\n\n # 先 unshallow（如果是浅克隆）\n subprocess.run(\n [\"git\", \"-C\", str(local_path), \"fetch\", \"--unshallow\"],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n )\n\n # fetch origin\n fetch_result = subprocess.run(\n [\"git\", \"-C\", str(local_path), \"fetch\", \"origin\"],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n if fetch_result.returncode != 0:\n logger.error(\"git fetch 失败: %s\", fetch_result.stderr.strip())\n return False\n\n # checkout 到指定 commit\n checkout_result = subprocess.run(\n [\"git\", \"-C\", str(local_path), \"checkout\", commit_hash],\n check=False,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n if checkout_result.returncode != 0:\n logger.error(\"git checkout 失败: %s\", checkout_result.stderr.strip())\n return False\n\n return True\n\n\ndef ensure_nuclei_templates_local(repo_name: str) -> str:\n \"\"\"确保 Worker 本地模板与 Server 版本一致\n\n 根据仓库名称查询数据库，获取 repo_url 和 commit_hash，\n 然后确保本地仓库存在且版本与 Server 一致。\n\n Args:\n repo_name: 模板仓库名称，对应 NucleiTemplateRepo.name\n\n Returns:\n 本地模板目录的绝对路径\n\n Raises:\n ValueError: 仓库不存在\n RuntimeError: Git 操作失败\n \"\"\"\n # 从数据库查询仓库记录\n repo = NucleiTemplateRepo.objects.filter(name=repo_name).first()\n if not repo:\n raise ValueError(f\"未找到模板仓库: {repo_name}，请先在「Nuclei 模板」中添加并同步\")\n\n repo_url = repo.repo_url\n expected_hash = repo.commit_hash\n\n if not repo_url:\n raise ValueError(f\"模板仓库 {repo_name} 缺少 repo_url\")\n\n # 本地存储路径\n base_dir = getattr(settings, \"NUCLEI_TEMPLATES_REPOS_BASE_DIR\", \"/opt/xingrin/nuclei-repos\")\n local_path = Path(base_dir) / repo_name.replace(\" \", \"-\").lower()\n local_path.mkdir(parents=True, exist_ok=True)\n\n # 检查本地是否有 .git 目录\n if not (local_path / \".git\").is_dir():\n # 首次：git clone\n if not git_clone(repo_url, local_path):\n raise RuntimeError(f\"无法 clone 模板仓库: {repo_name}\")\n else:\n # 已有仓库：检查 commit hash\n local_hash = get_local_commit_hash(local_path)\n\n if expected_hash and local_hash != expected_hash:\n # commit 不一致：同步到 Server 版本\n logger.info(\n \"本地模板版本不一致: local=%s, server=%s\",\n (local_hash or \"N/A\")[:8],\n expected_hash[:8],\n )\n if not git_fetch_and_checkout(local_path, expected_hash):\n raise RuntimeError(f\"无法同步模板仓库到指定版本: {repo_name}\")\n elif not expected_hash:\n # Server 没有 commit_hash（未同步过），保持本地版本\n logger.warning(\"模板仓库 %s 在 Server 端未同步，使用本地版本\", repo_name)\n else:\n logger.info(\"本地模板版本一致: %s\", local_hash[:8] if local_hash else \"N/A\")\n\n return str(local_path)\n\n\n__all__ = [\"ensure_nuclei_templates_local\"]\n" }, { "path": "backend/apps/scan/utils/performance.py", "content": "\"\"\"\n性能监控工具模块\n\n提供 Flow 层的性能监控能力\n\n功能：\n1. Flow 性能监控 - 记录整体流程耗时、系统资源（CPU/内存）\n2. 定时采样 - 每 N 秒记录一次系统资源状态\n\n使用方式：\n # Flow 层（在 handlers 中使用）\n from apps.scan.utils.performance import FlowPerformanceTracker\n tracker = FlowPerformanceTracker(flow_name, scan_id)\n tracker.start()\n # ... 执行流程 ...\n tracker.finish(success=True, result=result)\n\"\"\"\n\nimport logging\nimport threading\nimport time\nfrom dataclasses import dataclass\nfrom typing import Optional\n\ntry:\n import psutil\nexcept ImportError:\n psutil = None\n\n# 性能日志使用专门的 logger\nperf_logger = logging.getLogger('performance')\n\n# 采样间隔（秒）\nSAMPLE_INTERVAL = 30\n\n\ndef _get_system_stats() -> dict:\n \"\"\"\n 获取当前系统资源状态\n \n Returns:\n dict: {'cpu_percent': float, 'memory_gb': float, 'memory_percent': float}\n \"\"\"\n if not psutil:\n return {'cpu_percent': 0.0, 'memory_gb': 0.0, 'memory_percent': 0.0}\n \n try:\n cpu_percent = psutil.cpu_percent(interval=0.1)\n memory = psutil.virtual_memory()\n memory_gb = memory.used / (1024 ** 3)\n memory_percent = memory.percent # psutil 直接提供内存使用百分比\n return {\n 'cpu_percent': cpu_percent,\n 'memory_gb': memory_gb,\n 'memory_percent': memory_percent\n }\n except Exception:\n return {'cpu_percent': 0.0, 'memory_gb': 0.0, 'memory_percent': 0.0}\n\n\n@dataclass\nclass FlowPerformanceMetrics:\n \"\"\"Flow 性能指标\"\"\"\n flow_name: str\n scan_id: int\n target_id: Optional[int] = None\n target_name: Optional[str] = None\n \n # 时间指标\n start_time: float = 0.0\n end_time: float = 0.0\n duration_seconds: float = 0.0\n \n # 系统资源指标\n cpu_start: float = 0.0\n cpu_end: float = 0.0\n cpu_peak: float = 0.0\n memory_gb_start: float = 0.0\n memory_gb_end: float = 0.0\n memory_gb_peak: float = 0.0\n memory_percent_start: float = 0.0\n memory_percent_end: float = 0.0\n memory_percent_peak: float = 0.0\n \n # 执行结果\n success: bool = False\n error_message: Optional[str] = None\n\n\nclass FlowPerformanceTracker:\n \"\"\"\n Flow 性能追踪器\n \n 用于追踪 Prefect Flow 的执行性能，包括：\n - 执行耗时\n - 系统 CPU 和内存使用\n - 定时采样（每 30 秒）\n \n 使用方式：\n tracker = FlowPerformanceTracker(\"directory_scan\", scan_id=1)\n tracker.start(target_id=1, target_name=\"example.com\")\n # ... flow 执行 ...\n tracker.finish(success=True, result={'created_count': 100})\n \"\"\"\n \n def __init__(self, flow_name: str, scan_id: int):\n self.metrics = FlowPerformanceMetrics(\n flow_name=flow_name,\n scan_id=scan_id\n )\n self._sampler_thread: Optional[threading.Thread] = None\n self._stop_event = threading.Event()\n self._samples: list[dict] = []\n \n def start(\n self, \n target_id: Optional[int] = None, \n target_name: Optional[str] = None\n ) -> None:\n \"\"\"开始追踪\"\"\"\n self.metrics.start_time = time.time()\n self.metrics.target_id = target_id\n self.metrics.target_name = target_name\n \n # 记录初始系统状态\n stats = _get_system_stats()\n self.metrics.cpu_start = stats['cpu_percent']\n self.metrics.memory_gb_start = stats['memory_gb']\n self.metrics.memory_percent_start = stats['memory_percent']\n self.metrics.cpu_peak = stats['cpu_percent']\n self.metrics.memory_gb_peak = stats['memory_gb']\n self.metrics.memory_percent_peak = stats['memory_percent']\n \n # 记录开始日志\n perf_logger.info(\n \"📊 Flow 开始 - %s, scan_id=%d, 系统: CPU %.1f%%, 内存 %.1fGB(%.1f%%)\",\n self.metrics.flow_name,\n self.metrics.scan_id,\n stats['cpu_percent'],\n stats['memory_gb'],\n stats['memory_percent']\n )\n \n # 启动采样线程\n self._stop_event.clear()\n self._sampler_thread = threading.Thread(\n target=self._sample_loop,\n daemon=True,\n name=f\"perf-sampler-{self.metrics.flow_name}-{self.metrics.scan_id}\"\n )\n self._sampler_thread.start()\n \n def _sample_loop(self) -> None:\n \"\"\"定时采样循环\"\"\"\n elapsed = 0\n while not self._stop_event.wait(timeout=SAMPLE_INTERVAL):\n elapsed += SAMPLE_INTERVAL\n stats = _get_system_stats()\n \n # 更新峰值\n if stats['cpu_percent'] > self.metrics.cpu_peak:\n self.metrics.cpu_peak = stats['cpu_percent']\n if stats['memory_gb'] > self.metrics.memory_gb_peak:\n self.metrics.memory_gb_peak = stats['memory_gb']\n if stats['memory_percent'] > self.metrics.memory_percent_peak:\n self.metrics.memory_percent_peak = stats['memory_percent']\n \n # 记录采样\n self._samples.append({\n 'elapsed': elapsed,\n 'cpu': stats['cpu_percent'],\n 'memory_gb': stats['memory_gb'],\n 'memory_percent': stats['memory_percent']\n })\n \n # 输出采样日志\n perf_logger.info(\n \"📊 Flow 执行中 - %s [%ds], 系统: CPU %.1f%%, 内存 %.1fGB(%.1f%%)\",\n self.metrics.flow_name,\n elapsed,\n stats['cpu_percent'],\n stats['memory_gb'],\n stats['memory_percent']\n )\n \n def finish(\n self,\n success: bool = True,\n error_message: Optional[str] = None\n ) -> None:\n \"\"\"\n 结束追踪并记录性能日志\n \n Args:\n success: 是否成功\n error_message: 错误信息\n \"\"\"\n # 停止采样线程\n self._stop_event.set()\n if self._sampler_thread and self._sampler_thread.is_alive():\n self._sampler_thread.join(timeout=1.0)\n \n # 记录结束时间和状态\n self.metrics.end_time = time.time()\n self.metrics.duration_seconds = self.metrics.end_time - self.metrics.start_time\n self.metrics.success = success\n self.metrics.error_message = error_message\n \n # 记录结束时的系统状态\n stats = _get_system_stats()\n self.metrics.cpu_end = stats['cpu_percent']\n self.metrics.memory_gb_end = stats['memory_gb']\n self.metrics.memory_percent_end = stats['memory_percent']\n \n # 更新峰值（最后一次采样）\n if stats['cpu_percent'] > self.metrics.cpu_peak:\n self.metrics.cpu_peak = stats['cpu_percent']\n if stats['memory_gb'] > self.metrics.memory_gb_peak:\n self.metrics.memory_gb_peak = stats['memory_gb']\n if stats['memory_percent'] > self.metrics.memory_percent_peak:\n self.metrics.memory_percent_peak = stats['memory_percent']\n \n # 记录结束日志\n status = \"✓\" if success else \"✗\"\n perf_logger.info(\n \"📊 Flow 结束 - %s %s, scan_id=%d, 耗时: %.1fs, \"\n \"CPU: %.1f%%→%.1f%%(峰值%.1f%%), 内存: %.1fGB(%.1f%%)→%.1fGB(%.1f%%)(峰值%.1fGB/%.1f%%)\",\n self.metrics.flow_name,\n status,\n self.metrics.scan_id,\n self.metrics.duration_seconds,\n self.metrics.cpu_start,\n self.metrics.cpu_end,\n self.metrics.cpu_peak,\n self.metrics.memory_gb_start,\n self.metrics.memory_percent_start,\n self.metrics.memory_gb_end,\n self.metrics.memory_percent_end,\n self.metrics.memory_gb_peak,\n self.metrics.memory_percent_peak\n )\n \n if not success and error_message:\n perf_logger.warning(\n \"📊 Flow 失败原因 - %s: %s\",\n self.metrics.flow_name,\n error_message\n )\n\n\ndef _get_process_stats(pid: int) -> dict:\n \"\"\"\n 获取指定进程及其子进程的资源使用（类似 htop 显示）\n \n Args:\n pid: 进程 ID\n \n Returns:\n dict: {\n 'cpu_percent': float, # 进程 CPU 使用率\n 'memory_mb': float, # 进程内存使用 (MB)\n 'memory_percent': float # 进程内存占比\n }\n \"\"\"\n if not psutil:\n return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0}\n \n try:\n process = psutil.Process(pid)\n \n # 获取进程及所有子进程\n children = process.children(recursive=True)\n all_processes = [process] + children\n \n total_cpu = 0.0\n total_memory = 0\n \n for p in all_processes:\n try:\n # CPU 百分比计算：\n # - interval=0 使用上次调用的缓存值（需要先调用过一次初始化）\n # - 如果没有缓存值，会返回 0.0\n # - 这避免了每次采样都等待 0.1 秒的问题\n cpu_percent = p.cpu_percent()\n total_cpu += cpu_percent\n \n mem_info = p.memory_info()\n total_memory += mem_info.rss # RSS: Resident Set Size\n except (psutil.NoSuchProcess, psutil.AccessDenied):\n continue\n \n # 转换为 MB\n memory_mb = total_memory / (1024 * 1024)\n # 计算内存占比\n total_mem = psutil.virtual_memory().total\n memory_percent = (total_memory / total_mem) * 100 if total_mem > 0 else 0.0\n \n return {\n 'cpu_percent': total_cpu,\n 'memory_mb': memory_mb,\n 'memory_percent': memory_percent\n }\n except (psutil.NoSuchProcess, psutil.AccessDenied):\n return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0}\n except Exception:\n return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0}\n\n\nclass CommandPerformanceTracker:\n \"\"\"\n 命令执行性能追踪器\n \n 用于追踪单个命令的执行性能，包括：\n - 执行耗时\n - 进程级 CPU 和内存使用（类似 htop）\n - 系统整体资源状态\n \n 使用方式：\n tracker = CommandPerformanceTracker(\"ffuf\", command=\"ffuf -u http://...\")\n tracker.start()\n tracker.set_pid(process.pid) # 进程启动后设置 PID\n # ... 执行命令 ...\n tracker.finish(success=True, duration=45.2)\n \"\"\"\n \n def __init__(self, tool_name: str, command: str = \"\"):\n self.tool_name = tool_name\n self.command = command\n self.start_time: float = 0.0\n self.pid: Optional[int] = None\n # 系统级资源\n self.sys_cpu_start: float = 0.0\n self.sys_memory_gb_start: float = 0.0\n self.sys_memory_percent_start: float = 0.0\n # 进程级资源峰值\n self.proc_cpu_peak: float = 0.0\n self.proc_memory_mb_peak: float = 0.0\n self.proc_memory_percent_peak: float = 0.0\n \n def start(self) -> None:\n \"\"\"开始追踪，记录初始系统状态\"\"\"\n self.start_time = time.time()\n stats = _get_system_stats()\n self.sys_cpu_start = stats['cpu_percent']\n self.sys_memory_gb_start = stats['memory_gb']\n self.sys_memory_percent_start = stats['memory_percent']\n \n # 截断过长的命令\n cmd_display = self.command[:200] + \"...\" if len(self.command) > 200 else self.command\n \n perf_logger.info(\n \"📊 命令开始 - %s, 系统: CPU %.1f%%, 内存 %.1fGB(%.1f%%), 命令: %s\",\n self.tool_name,\n self.sys_cpu_start,\n self.sys_memory_gb_start,\n self.sys_memory_percent_start,\n cmd_display\n )\n \n def set_pid(self, pid: int) -> None:\n \"\"\"\n 设置要追踪的进程 PID\n \n Args:\n pid: 进程 ID\n \"\"\"\n self.pid = pid\n # 初始化 CPU 采样（psutil 需要先调用一次）\n # CPU 百分比计算需要两次调用之间的时间间隔，第一次调用是初始化\n if psutil and pid:\n try:\n process = psutil.Process(pid)\n # 第一次调用初始化 CPU 计算基准\n process.cpu_percent()\n # 为所有子进程也初始化 CPU 计算\n for child in process.children(recursive=True):\n try:\n child.cpu_percent()\n except (psutil.NoSuchProcess, psutil.AccessDenied):\n pass\n except (psutil.NoSuchProcess, psutil.AccessDenied):\n pass\n \n def sample(self) -> dict:\n \"\"\"\n 采样当前进程资源使用（可选，用于长时间运行的命令）\n \n Returns:\n dict: 进程资源使用情况\n \"\"\"\n if not self.pid:\n return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0}\n \n stats = _get_process_stats(self.pid)\n \n # 更新峰值\n if stats['cpu_percent'] > self.proc_cpu_peak:\n self.proc_cpu_peak = stats['cpu_percent']\n if stats['memory_mb'] > self.proc_memory_mb_peak:\n self.proc_memory_mb_peak = stats['memory_mb']\n if stats['memory_percent'] > self.proc_memory_percent_peak:\n self.proc_memory_percent_peak = stats['memory_percent']\n \n return stats\n \n def finish(\n self,\n success: bool = True,\n duration: Optional[float] = None,\n timeout: Optional[int] = None,\n is_timeout: bool = False\n ) -> None:\n \"\"\"\n 结束追踪并记录性能日志\n \n Args:\n success: 是否成功\n duration: 执行耗时（秒），如果不传则自动计算\n timeout: 超时配置（秒）\n is_timeout: 是否超时\n \"\"\"\n # 计算耗时\n if duration is None:\n duration = time.time() - self.start_time\n \n # 获取结束时的系统状态\n sys_stats = _get_system_stats()\n \n # 获取进程最终资源使用（如果进程还在）\n proc_stats = {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0}\n if self.pid:\n proc_stats = _get_process_stats(self.pid)\n # 更新峰值\n if proc_stats['cpu_percent'] > self.proc_cpu_peak:\n self.proc_cpu_peak = proc_stats['cpu_percent']\n if proc_stats['memory_mb'] > self.proc_memory_mb_peak:\n self.proc_memory_mb_peak = proc_stats['memory_mb']\n if proc_stats['memory_percent'] > self.proc_memory_percent_peak:\n self.proc_memory_percent_peak = proc_stats['memory_percent']\n \n status = \"✓\" if success else (\"⏱ 超时\" if is_timeout else \"✗\")\n \n # 截断过长的命令\n cmd_display = self.command[:200] + \"...\" if len(self.command) > 200 else self.command\n \n # 日志格式：进程资源 + 系统资源\n if self.pid and (self.proc_cpu_peak > 0 or self.proc_memory_mb_peak > 0):\n perf_logger.info(\n \"📊 命令结束 - %s %s, 耗时: %.2fs%s, \"\n \"进程: CPU %.1f%%(峰值), 内存 %.1fMB(%.1f%%峰值), \"\n \"系统: CPU %.1f%%→%.1f%%, 内存 %.1fGB(%.1f%%)→%.1fGB(%.1f%%), \"\n \"命令: %s\",\n self.tool_name,\n status,\n duration,\n f\", 超时配置: {timeout}s\" if timeout else \"\",\n self.proc_cpu_peak,\n self.proc_memory_mb_peak,\n self.proc_memory_percent_peak,\n self.sys_cpu_start,\n sys_stats['cpu_percent'],\n self.sys_memory_gb_start,\n self.sys_memory_percent_start,\n sys_stats['memory_gb'],\n sys_stats['memory_percent'],\n cmd_display\n )\n else:\n # 没有进程级数据，只显示系统级\n perf_logger.info(\n \"📊 命令结束 - %s %s, 耗时: %.2fs%s, \"\n \"系统: CPU %.1f%%→%.1f%%, 内存 %.1fGB(%.1f%%)→%.1fGB(%.1f%%), \"\n \"命令: %s\",\n self.tool_name,\n status,\n duration,\n f\", 超时配置: {timeout}s\" if timeout else \"\",\n self.sys_cpu_start,\n sys_stats['cpu_percent'],\n self.sys_memory_gb_start,\n self.sys_memory_percent_start,\n sys_stats['memory_gb'],\n sys_stats['memory_percent'],\n cmd_display\n )\n" }, { "path": "backend/apps/scan/utils/system_load.py", "content": "\"\"\"\n系统负载检查工具\n\n提供统一的系统负载检查功能，用于：\n- Flow 入口处检查系统资源是否充足\n- 防止在高负载时启动新的扫描任务\n\"\"\"\n\nimport logging\nimport time\n\nimport psutil\nfrom django.conf import settings\n\nlogger = logging.getLogger(__name__)\n\n# 动态并发控制阈值（可在 Django settings 中覆盖）\nSCAN_CPU_HIGH: float = getattr(settings, 'SCAN_CPU_HIGH', 90.0)\nSCAN_MEM_HIGH: float = getattr(settings, 'SCAN_MEM_HIGH', 80.0)\nSCAN_LOAD_CHECK_INTERVAL: int = getattr(settings, 'SCAN_LOAD_CHECK_INTERVAL', 180)\n\n\ndef _get_current_load() -> tuple[float, float]:\n \"\"\"获取当前 CPU 和内存使用率\"\"\"\n return psutil.cpu_percent(interval=0.5), psutil.virtual_memory().percent\n\n\ndef wait_for_system_load(\n cpu_threshold: float = SCAN_CPU_HIGH,\n mem_threshold: float = SCAN_MEM_HIGH,\n check_interval: int = SCAN_LOAD_CHECK_INTERVAL,\n context: str = \"task\"\n) -> None:\n \"\"\"\n 等待系统负载降到阈值以下\n\n 在高负载时阻塞等待，直到 CPU 和内存都低于阈值。\n 用于 Flow 入口处，防止在资源紧张时启动新任务。\n \"\"\"\n while True:\n cpu, mem = _get_current_load()\n\n if cpu < cpu_threshold and mem < mem_threshold:\n logger.debug(\n \"[%s] 系统负载正常: cpu=%.1f%%, mem=%.1f%%\",\n context, cpu, mem\n )\n return\n\n logger.info(\n \"[%s] 系统负载较高，等待资源释放: \"\n \"cpu=%.1f%% (阈值 %.1f%%), mem=%.1f%% (阈值 %.1f%%)\",\n context, cpu, cpu_threshold, mem, mem_threshold\n )\n time.sleep(check_interval)\n\n\ndef check_system_load(\n cpu_threshold: float = SCAN_CPU_HIGH,\n mem_threshold: float = SCAN_MEM_HIGH\n) -> dict:\n \"\"\"\n 检查当前系统负载（非阻塞）\n\n Returns:\n dict: cpu_percent, mem_percent, cpu_threshold, mem_threshold, is_overloaded\n \"\"\"\n cpu, mem = _get_current_load()\n\n return {\n 'cpu_percent': cpu,\n 'mem_percent': mem,\n 'cpu_threshold': cpu_threshold,\n 'mem_threshold': mem_threshold,\n 'is_overloaded': cpu >= cpu_threshold or mem >= mem_threshold,\n }\n\n" }, { "path": "backend/apps/scan/utils/user_logger.py", "content": "\"\"\"\n扫描日志记录器\n\n提供统一的日志记录接口，用于在 Flow 中记录用户可见的扫描进度日志。\n\n特性：\n- 简单的函数式 API\n- 只写入数据库（ScanLog 表），不写 Python logging\n- 错误容忍（数据库失败不影响扫描执行）\n\n职责分离：\n- user_log: 用户可见日志（写数据库，前端展示）\n- logger: 开发者日志（写日志文件/控制台，调试用）\n\n使用示例：\n from apps.scan.utils import user_log\n \n # 用户日志（写数据库）\n user_log(scan_id, \"port_scan\", \"Starting port scan\")\n user_log(scan_id, \"port_scan\", \"naabu completed: found 120 ports\")\n \n # 开发者日志（写日志文件）\n logger.info(\"✓ 工具 %s 执行完成 - 记录数: %d\", tool_name, count)\n\"\"\"\n\nimport logging\nfrom django.db import DatabaseError\n\nlogger = logging.getLogger(__name__)\n\n\ndef user_log(scan_id: int, stage: str, message: str, level: str = \"info\"):\n \"\"\"\n 记录用户可见的扫描日志（只写数据库）\n \n Args:\n scan_id: 扫描任务 ID\n stage: 阶段名称，如 \"port_scan\", \"site_scan\"\n message: 日志消息\n level: 日志级别，默认 \"info\"，可选 \"warning\", \"error\"\n \n 数据库 content 格式: \"[{stage}] {message}\"\n \"\"\"\n formatted = f\"[{stage}] {message}\"\n \n try:\n from apps.scan.models import ScanLog\n ScanLog.objects.create(\n scan_id=scan_id,\n level=level,\n content=formatted\n )\n except DatabaseError as e:\n logger.error(\"ScanLog write failed - scan_id=%s, error=%s\", scan_id, e)\n except Exception as e:\n logger.error(\"ScanLog write unexpected error - scan_id=%s, error=%s\", scan_id, e)\n" }, { "path": "backend/apps/scan/utils/wordlist_helpers.py", "content": "\"\"\"字典文件本地缓存与校验工具\n\n提供 worker 侧的字典文件下载和 hash 校验功能，用于：\n- 目录扫描 (directory_scan_flow)\n- 子域名爆破 (subdomain_discovery_flow)\n\"\"\"\n\nimport logging\nimport os\nimport ssl\nfrom pathlib import Path\nfrom urllib import request as urllib_request\nfrom urllib import parse as urllib_parse\n\nfrom django.conf import settings\n\nfrom apps.common.utils import is_file_hash_match\nfrom apps.engine.services import WordlistService\n\nlogger = logging.getLogger(__name__)\n\n\ndef ensure_wordlist_local(wordlist_name: str) -> str:\n \"\"\"确保本地存在指定字典文件，并返回本地路径\n\n 流程：\n 1. 从 DB 查询 Wordlist 记录\n 2. 计算本地缓存路径\n 3. 如果本地文件存在且 hash 匹配，直接返回路径\n 4. 否则从后端 API 下载最新文件\n\n Args:\n wordlist_name: 字典名称（对应 Wordlist.name）\n\n Returns:\n str: 本地字典文件绝对路径\n\n Raises:\n ValueError: 字典不存在或参数无效\n RuntimeError: 下载失败\n \"\"\"\n if not wordlist_name:\n raise ValueError(\"wordlist_name 不能为空\")\n\n service = WordlistService()\n wordlist = service.get_wordlist_by_name(wordlist_name)\n if not wordlist:\n raise ValueError(f\"未找到名称为 '{wordlist_name}' 的字典，请在「字典管理」中先创建\")\n\n # 计算本地缓存路径\n backend_path = Path(wordlist.file_path)\n base_dir = getattr(settings, 'WORDLISTS_BASE_PATH', '/opt/xingrin/wordlists')\n storage_dir = Path(base_dir)\n storage_dir.mkdir(parents=True, exist_ok=True)\n local_path = storage_dir / backend_path.name\n\n # 获取期望的 hash（可能为空，表示老数据）\n expected_hash = getattr(wordlist, 'file_hash', '') or ''\n\n # 如果本地文件存在，进行 hash 校验\n if local_path.exists():\n if expected_hash:\n # 有 hash，进行校验\n if is_file_hash_match(str(local_path), expected_hash):\n logger.info(\"本地字典文件有效（hash 匹配）: %s\", local_path)\n return str(local_path)\n else:\n logger.info(\"本地字典文件 hash 不匹配，将重新下载: %s\", local_path)\n else:\n # 无 hash（老数据），保持旧逻辑：直接复用\n logger.info(\"本地已存在字典文件（无 hash 校验）: %s\", local_path)\n return str(local_path)\n\n # 从后端下载字典\n # 优先使用 SERVER_URL 环境变量（动态容器中传递），否则使用 settings 配置\n server_url = os.getenv('SERVER_URL', '').strip()\n if server_url:\n api_base = f\"{server_url.rstrip('/')}/api\"\n else:\n public_host = getattr(settings, 'PUBLIC_HOST', '').strip()\n if not public_host:\n raise RuntimeError(\n \"无法确定 Django API 地址：请配置 SERVER_URL 或 PUBLIC_HOST 环境变量\"\n )\n # 远程 Worker 通过 nginx HTTPS 访问，不再直连 8888\n public_port = getattr(settings, 'PUBLIC_PORT', '8083')\n api_base = f\"https://{public_host}:{public_port}/api\"\n query = urllib_parse.urlencode({'wordlist': wordlist_name})\n download_url = f\"{api_base.rstrip('/')}/wordlists/download/?{query}\"\n\n logger.info(\"从后端下载字典: %s -> %s\", download_url, local_path)\n\n try:\n # 创建不验证 SSL 的上下文（远程 Worker 可能使用自签名证书）\n ssl_context = ssl.create_default_context()\n ssl_context.check_hostname = False\n ssl_context.verify_mode = ssl.CERT_NONE\n \n # 创建带 API Key 的请求\n req = urllib_request.Request(download_url)\n worker_api_key = os.getenv('WORKER_API_KEY', '')\n if worker_api_key:\n req.add_header('X-Worker-API-Key', worker_api_key)\n \n with urllib_request.urlopen(req, context=ssl_context) as resp:\n if resp.status != 200:\n raise RuntimeError(f\"下载字典失败，HTTP {resp.status}\")\n data = resp.read()\n except Exception as exc:\n logger.error(\"下载字典失败: %s\", exc)\n raise RuntimeError(f\"下载字典失败: {exc}\") from exc\n\n with open(local_path, 'wb') as f:\n f.write(data)\n\n logger.info(\"字典下载完成并保存到: %s\", local_path)\n return str(local_path)\n\n\n__all__ = [\"ensure_wordlist_local\"]\n" }, { "path": "backend/apps/scan/utils/workspace_utils.py", "content": "\"\"\"\n工作空间工具模块\n\n提供统一的扫描工作目录创建和验证功能\n\"\"\"\n\nfrom pathlib import Path\nimport logging\n\nlogger = logging.getLogger(__name__)\n\n\ndef setup_scan_workspace(scan_workspace_dir: str) -> Path:\n \"\"\"\n 创建 Scan 根工作空间目录\n \n Args:\n scan_workspace_dir: 工作空间目录路径\n \n Returns:\n Path: 创建的目录路径\n \n Raises:\n RuntimeError: 目录创建失败或不可写\n \"\"\"\n workspace_path = Path(scan_workspace_dir)\n \n try:\n workspace_path.mkdir(parents=True, exist_ok=True)\n except OSError as e:\n raise RuntimeError(f\"创建工作空间失败: {scan_workspace_dir} - {e}\") from e\n \n # 验证可写\n _verify_writable(workspace_path)\n \n logger.info(\"✓ Scan 工作空间已创建: %s\", workspace_path)\n return workspace_path\n\n\ndef setup_scan_directory(scan_workspace_dir: str, subdir: str) -> Path:\n \"\"\"\n 创建扫描子目录\n \n Args:\n scan_workspace_dir: 根工作空间目录\n subdir: 子目录名称（如 'fingerprint_detect', 'site_scan'）\n \n Returns:\n Path: 创建的子目录路径\n \n Raises:\n RuntimeError: 目录创建失败或不可写\n \"\"\"\n scan_dir = Path(scan_workspace_dir) / subdir\n \n try:\n scan_dir.mkdir(parents=True, exist_ok=True)\n except OSError as e:\n raise RuntimeError(f\"创建扫描目录失败: {scan_dir} - {e}\") from e\n \n # 验证可写\n _verify_writable(scan_dir)\n \n logger.info(\"✓ 扫描目录已创建: %s\", scan_dir)\n return scan_dir\n\n\ndef _verify_writable(path: Path) -> None:\n \"\"\"\n 验证目录可写\n \n Args:\n path: 目录路径\n \n Raises:\n RuntimeError: 目录不可写\n \"\"\"\n test_file = path / \".test_write\"\n try:\n test_file.touch()\n test_file.unlink()\n except OSError as e:\n raise RuntimeError(f\"目录不可写: {path} - {e}\") from e\n" }, { "path": "backend/apps/scan/views/__init__.py", "content": "\"\"\"Scan Views - 统一导出\"\"\"\n\nfrom .scan_views import ScanViewSet\nfrom .scheduled_scan_views import ScheduledScanViewSet\nfrom .scan_log_views import ScanLogListView\nfrom .subfinder_provider_settings_views import SubfinderProviderSettingsView\n\n__all__ = [\n 'ScanViewSet',\n 'ScheduledScanViewSet',\n 'ScanLogListView',\n 'SubfinderProviderSettingsView',\n]\n" }, { "path": "backend/apps/scan/views/scan_log_views.py", "content": "\"\"\"\n扫描日志 API\n\n提供扫描日志查询接口，支持游标分页用于增量轮询。\n\"\"\"\n\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\n\nfrom apps.scan.models import ScanLog\nfrom apps.scan.serializers import ScanLogSerializer\n\n\nclass ScanLogListView(APIView):\n \"\"\"\n GET /scans/{scan_id}/logs/\n \n 游标分页 API，用于增量查询日志\n \n 查询参数：\n - afterId: 只返回此 ID 之后的日志（用于增量轮询，避免时间戳重复导致的重复日志）\n - limit: 返回数量限制（默认 200，最大 1000）\n \n 返回：\n - results: 日志列表\n - hasMore: 是否还有更多日志\n \"\"\"\n \n def get(self, request, scan_id: int):\n # 参数解析\n after_id = request.query_params.get('afterId')\n try:\n limit = min(int(request.query_params.get('limit', 200)), 1000)\n except (ValueError, TypeError):\n limit = 200\n \n # 查询日志（按 ID 排序，ID 是自增的，保证顺序一致）\n queryset = ScanLog.objects.filter(scan_id=scan_id).order_by('id')\n \n # 游标过滤（使用 ID 而非时间戳，避免同一时间戳多条日志导致重复）\n if after_id:\n try:\n queryset = queryset.filter(id__gt=int(after_id))\n except (ValueError, TypeError):\n pass\n \n # 限制返回数量（多取一条用于判断 hasMore）\n logs = list(queryset[:limit + 1])\n has_more = len(logs) > limit\n if has_more:\n logs = logs[:limit]\n \n return Response({\n 'results': ScanLogSerializer(logs, many=True).data,\n 'hasMore': has_more,\n })\n" }, { "path": "backend/apps/scan/views/scan_views.py", "content": "from rest_framework import viewsets, status\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom rest_framework.exceptions import NotFound, APIException\nfrom rest_framework.filters import SearchFilter\nfrom django_filters.rest_framework import DjangoFilterBackend\nfrom django.core.exceptions import ObjectDoesNotExist, ValidationError\nfrom django.db.utils import DatabaseError, IntegrityError, OperationalError\nimport logging\n\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\nfrom apps.scan.utils.config_merger import ConfigConflictError\n\nlogger = logging.getLogger(__name__)\n\nfrom ..models import Scan, ScheduledScan\nfrom ..serializers import (\n ScanSerializer, ScanHistorySerializer, QuickScanSerializer,\n InitiateScanSerializer, ScheduledScanSerializer, CreateScheduledScanSerializer,\n UpdateScheduledScanSerializer, ToggleScheduledScanSerializer\n)\nfrom ..services.scan_service import ScanService\nfrom ..services.scheduled_scan_service import ScheduledScanService\nfrom ..repositories import ScheduledScanDTO\nfrom apps.targets.services.target_service import TargetService\nfrom apps.targets.services.organization_service import OrganizationService\nfrom apps.engine.services.engine_service import EngineService\nfrom apps.common.definitions import ScanStatus\nfrom apps.common.pagination import BasePagination\n\n\nclass ScanViewSet(viewsets.ModelViewSet):\n \"\"\"扫描任务视图集\"\"\"\n serializer_class = ScanSerializer\n pagination_class = BasePagination\n filter_backends = [DjangoFilterBackend, SearchFilter]\n filterset_fields = ['target'] # 支持 ?target=123 过滤\n search_fields = ['target__name'] # 按目标名称搜索\n \n def get_queryset(self):\n \"\"\"优化查询集，提升API性能\n \n 查询优化策略：\n - select_related: 预加载 target 和 engine（一对一/多对一关系，使用 JOIN）\n - 移除 prefetch_related: 避免加载大量资产数据到内存\n - order_by: 按创建时间降序排列（最新创建的任务排在最前面）\n \n 性能优化原理：\n - 列表页：使用缓存统计字段（cached_*_count），避免实时 COUNT 查询\n - 序列化器：严格验证缓存字段，确保数据一致性\n - 分页场景：每页只显示10条记录，查询高效\n - 避免大数据加载：不再预加载所有关联的资产数据\n \"\"\"\n # 只保留必要的 select_related，移除所有 prefetch_related\n scan_service = ScanService()\n queryset = scan_service.get_all_scans(prefetch_relations=True)\n \n return queryset\n \n def get_serializer_class(self):\n \"\"\"根据不同的 action 返回不同的序列化器\n \n - list action: 使用 ScanHistorySerializer（包含 summary 和 progress）\n - retrieve action: 使用 ScanHistorySerializer（包含 summary 和 progress）\n - 其他 action: 使用标准的 ScanSerializer\n \"\"\"\n if self.action in ['list', 'retrieve']:\n return ScanHistorySerializer\n return ScanSerializer\n\n def destroy(self, request, *args, **kwargs):\n \"\"\"\n 删除单个扫描任务（两阶段删除）\n \n 1. 软删除：立即对用户不可见\n 2. 硬删除：后台异步执行\n \"\"\"\n try:\n scan = self.get_object()\n scan_service = ScanService()\n result = scan_service.delete_scans_two_phase([scan.id])\n \n return success_response(\n data={\n 'scanId': scan.id,\n 'deletedCount': result['soft_deleted_count'],\n 'deletedScans': result['scan_names']\n }\n )\n \n except Scan.DoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n status_code=status.HTTP_404_NOT_FOUND\n )\n except ValueError as e:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message=str(e),\n status_code=status.HTTP_404_NOT_FOUND\n )\n except Exception as e:\n logger.exception(\"删除扫描任务时发生错误\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n @action(detail=False, methods=['post'])\n def quick(self, request):\n \"\"\"\n 快速扫描接口\n \n 功能：\n 1. 接收目标列表和 YAML 配置\n 2. 自动解析输入（支持 URL、域名、IP、CIDR）\n 3. 批量创建 Target、Website、Endpoint 资产\n 4. 立即发起批量扫描\n \n 请求参数：\n {\n \"targets\": [{\"name\": \"example.com\"}, {\"name\": \"https://example.com/api\"}],\n \"configuration\": \"subdomain_discovery:\\n enabled: true\\n ...\",\n \"engine_ids\": [1, 2], // 可选，用于记录\n \"engine_names\": [\"引擎A\", \"引擎B\"] // 可选，用于记录\n }\n \n 支持的输入格式：\n - 域名: example.com\n - IP: 192.168.1.1\n - CIDR: 10.0.0.0/8\n - URL: https://example.com/api/v1\n \"\"\"\n from ..services.quick_scan_service import QuickScanService\n \n serializer = QuickScanSerializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n targets_data = serializer.validated_data['targets']\n configuration = serializer.validated_data['configuration']\n engine_ids = serializer.validated_data.get('engine_ids', [])\n engine_names = serializer.validated_data.get('engine_names', [])\n \n try:\n # 提取输入字符串列表\n inputs = [t['name'] for t in targets_data]\n \n # 1. 使用 QuickScanService 解析输入并创建资产\n quick_scan_service = QuickScanService()\n result = quick_scan_service.process_quick_scan(inputs, engine_ids[0] if engine_ids else None)\n \n targets = result['targets']\n \n if not targets:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='No valid targets for scanning',\n details=result.get('errors', []),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n # 2. 直接使用前端传递的配置创建扫描\n scan_service = ScanService()\n created_scans = scan_service.create_scans(\n targets=targets,\n engine_ids=engine_ids,\n engine_names=engine_names,\n yaml_configuration=configuration\n )\n \n # 检查是否成功创建扫描任务\n if not created_scans:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='No scan tasks were created. All targets may already have active scans.',\n details={\n 'targetStats': result['target_stats'],\n 'assetStats': result['asset_stats'],\n 'errors': result.get('errors', [])\n },\n status_code=status.HTTP_422_UNPROCESSABLE_ENTITY\n )\n \n # 序列化返回结果\n scan_serializer = ScanSerializer(created_scans, many=True)\n \n return success_response(\n data={\n 'count': len(created_scans),\n 'targetStats': result['target_stats'],\n 'assetStats': result['asset_stats'],\n 'errors': result.get('errors', []),\n 'scans': scan_serializer.data\n },\n status_code=status.HTTP_201_CREATED\n )\n \n except ValidationError as e:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(e),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n except Exception as e:\n logger.exception(\"快速扫描启动失败\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n\n @action(detail=False, methods=['post'])\n def initiate(self, request):\n \"\"\"\n 发起扫描任务\n \n 请求参数:\n - organization_id: 组织ID (int, 可选)\n - target_id: 目标ID (int, 可选)\n - configuration: YAML 配置字符串 (str, 必填)\n - engine_ids: 扫描引擎ID列表 (list[int], 必填)\n - engine_names: 引擎名称列表 (list[str], 必填)\n \n 注意: organization_id 和 target_id 二选一\n \n 返回:\n - 扫描任务详情（单个或多个）\n \"\"\"\n # 使用 serializer 验证请求数据\n serializer = InitiateScanSerializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n # 获取验证后的数据\n organization_id = serializer.validated_data.get('organization_id')\n target_id = serializer.validated_data.get('target_id')\n configuration = serializer.validated_data['configuration']\n engine_ids = serializer.validated_data['engine_ids']\n engine_names = serializer.validated_data['engine_names']\n \n try:\n # 获取目标列表\n scan_service = ScanService()\n \n if organization_id:\n from apps.targets.repositories import DjangoOrganizationRepository\n org_repo = DjangoOrganizationRepository()\n organization = org_repo.get_by_id(organization_id)\n if not organization:\n raise ObjectDoesNotExist(f'Organization ID {organization_id} 不存在')\n targets = org_repo.get_targets(organization_id)\n if not targets:\n raise ValidationError(f'组织 ID {organization_id} 下没有目标')\n else:\n from apps.targets.repositories import DjangoTargetRepository\n target_repo = DjangoTargetRepository()\n target = target_repo.get_by_id(target_id)\n if not target:\n raise ObjectDoesNotExist(f'Target ID {target_id} 不存在')\n targets = [target]\n \n # 直接使用前端传递的配置创建扫描\n created_scans = scan_service.create_scans(\n targets=targets,\n engine_ids=engine_ids,\n engine_names=engine_names,\n yaml_configuration=configuration\n )\n \n # 检查是否成功创建扫描任务\n if not created_scans:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='No scan tasks were created. All targets may already have active scans.',\n status_code=status.HTTP_422_UNPROCESSABLE_ENTITY\n )\n \n # 序列化返回结果\n scan_serializer = ScanSerializer(created_scans, many=True)\n \n return success_response(\n data={\n 'count': len(created_scans),\n 'scans': scan_serializer.data\n },\n status_code=status.HTTP_201_CREATED\n )\n \n except ObjectDoesNotExist as e:\n # 资源不存在错误（由 service 层抛出）\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message=str(e),\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n except ValidationError as e:\n # 参数验证错误（由 service 层抛出）\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(e),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n except (DatabaseError, IntegrityError, OperationalError):\n # 数据库错误\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Database error',\n status_code=status.HTTP_503_SERVICE_UNAVAILABLE\n )\n\n # 所有快照相关的 action 和 export 已迁移到 asset/views.py 中的快照 ViewSet\n # GET /api/scans/{id}/subdomains/ -> SubdomainSnapshotViewSet\n # GET /api/scans/{id}/subdomains/export/ -> SubdomainSnapshotViewSet.export\n # GET /api/scans/{id}/websites/ -> WebsiteSnapshotViewSet\n # GET /api/scans/{id}/websites/export/ -> WebsiteSnapshotViewSet.export\n # GET /api/scans/{id}/directories/ -> DirectorySnapshotViewSet\n # GET /api/scans/{id}/directories/export/ -> DirectorySnapshotViewSet.export\n # GET /api/scans/{id}/endpoints/ -> EndpointSnapshotViewSet\n # GET /api/scans/{id}/endpoints/export/ -> EndpointSnapshotViewSet.export\n # GET /api/scans/{id}/ip-addresses/ -> HostPortMappingSnapshotViewSet\n # GET /api/scans/{id}/ip-addresses/export/ -> HostPortMappingSnapshotViewSet.export\n # GET /api/scans/{id}/vulnerabilities/ -> VulnerabilitySnapshotViewSet\n\n @action(detail=False, methods=['post', 'delete'], url_path='bulk-delete')\n def bulk_delete(self, request):\n \"\"\"\n 批量删除扫描记录\n \n 请求参数:\n - ids: 扫描ID列表 (list[int], 必填)\n \n 示例请求:\n POST /api/scans/bulk-delete/\n {\n \"ids\": [1, 2, 3]\n }\n \n 返回:\n - message: 成功消息\n - deletedCount: 实际删除的记录数\n \n 注意:\n - 使用级联删除，会同时删除关联的子域名、端点等数据\n - 只删除存在的记录，不存在的ID会被忽略\n \"\"\"\n ids = request.data.get('ids', [])\n \n # 参数验证\n if not ids:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='Missing required parameter: ids',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n if not isinstance(ids, list):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='ids must be an array',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n if not all(isinstance(i, int) for i in ids):\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message='All elements in ids array must be integers',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n try:\n # 使用 Service 层批量删除（两阶段删除）\n scan_service = ScanService()\n result = scan_service.delete_scans_two_phase(ids)\n \n return success_response(\n data={\n 'deletedCount': result['soft_deleted_count'],\n 'deletedScans': result['scan_names']\n }\n )\n \n except ValueError as e:\n # 未找到记录\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message=str(e),\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n except Exception as e:\n logger.exception(\"批量删除扫描任务时发生错误\")\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n @action(detail=False, methods=['get'])\n def statistics(self, request):\n \"\"\"\n 获取扫描统计数据\n \n 返回扫描任务的汇总统计信息，用于仪表板和扫描历史页面。\n 使用缓存字段聚合查询，性能优异。\n \n 返回:\n - total: 总扫描次数\n - running: 运行中的扫描数量\n - completed: 已完成的扫描数量\n - failed: 失败的扫描数量\n - totalVulns: 总共发现的漏洞数量\n - totalSubdomains: 总共发现的子域名数量\n - totalEndpoints: 总共发现的端点数量\n - totalAssets: 总资产数\n \"\"\"\n try:\n # 使用 Service 层获取统计数据\n scan_service = ScanService()\n stats = scan_service.get_statistics()\n \n return success_response(\n data={\n 'total': stats['total'],\n 'running': stats['running'],\n 'completed': stats['completed'],\n 'failed': stats['failed'],\n 'totalVulns': stats['total_vulns'],\n 'totalSubdomains': stats['total_subdomains'],\n 'totalEndpoints': stats['total_endpoints'],\n 'totalWebsites': stats['total_websites'],\n 'totalAssets': stats['total_assets'],\n }\n )\n \n except (DatabaseError, OperationalError):\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Database error',\n status_code=status.HTTP_503_SERVICE_UNAVAILABLE\n )\n \n @action(detail=True, methods=['post'])\n def stop(self, request, pk=None): # pylint: disable=unused-argument\n \"\"\"\n 停止扫描任务\n \n URL: POST /api/scans/{id}/stop/\n \n 功能:\n - 终止正在运行或初始化的扫描任务\n - 更新扫描状态为 CANCELLED\n \n 状态限制:\n - 只能停止 RUNNING 或 INITIATED 状态的扫描\n - 已完成、失败或取消的扫描无法停止\n \n 返回:\n - message: 成功消息\n - revokedTaskCount: 取消的 Flow Run 数量\n \"\"\"\n try:\n # 使用 Service 层处理停止逻辑\n scan_service = ScanService()\n success, revoked_count = scan_service.stop_scan(scan_id=pk)\n \n if not success:\n # 检查是否是状态不允许的问题\n scan = scan_service.get_scan(scan_id=pk, prefetch_relations=False)\n if scan and scan.status not in [ScanStatus.RUNNING, ScanStatus.INITIATED]:\n return error_response(\n code=ErrorCodes.BAD_REQUEST,\n message=f'Cannot stop scan: current status is {ScanStatus(scan.status).label}',\n status_code=status.HTTP_400_BAD_REQUEST\n )\n # 其他失败原因\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n return success_response(\n data={'revokedTaskCount': revoked_count}\n )\n \n except ObjectDoesNotExist:\n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message=f'Scan ID {pk} not found',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n except (DatabaseError, IntegrityError, OperationalError):\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Database error',\n status_code=status.HTTP_503_SERVICE_UNAVAILABLE\n )\n" }, { "path": "backend/apps/scan/views/scheduled_scan_views.py", "content": "\"\"\"\n定时扫描任务视图集\n\n独立文件，避免 views.py 文件过大\n\"\"\"\nfrom rest_framework import viewsets, status\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom rest_framework.filters import SearchFilter\nfrom django.core.exceptions import ValidationError\nimport logging\n\nfrom ..models import ScheduledScan\nfrom ..serializers import (\n ScheduledScanSerializer, CreateScheduledScanSerializer,\n UpdateScheduledScanSerializer, ToggleScheduledScanSerializer\n)\nfrom ..services.scheduled_scan_service import ScheduledScanService\nfrom ..repositories import ScheduledScanDTO\nfrom ..utils.config_merger import ConfigConflictError\nfrom apps.common.pagination import BasePagination\nfrom apps.common.response_helpers import success_response, error_response\nfrom apps.common.error_codes import ErrorCodes\n\n\nlogger = logging.getLogger(__name__)\n\n\nclass ScheduledScanViewSet(viewsets.ModelViewSet):\n \"\"\"\n 定时扫描任务视图集\n \n API 端点：\n - GET /scheduled-scans/ 获取定时扫描列表\n - POST /scheduled-scans/ 创建定时扫描\n - GET /scheduled-scans/{id}/ 获取定时扫描详情\n - PUT /scheduled-scans/{id}/ 更新定时扫描\n - DELETE /scheduled-scans/{id}/ 删除定时扫描\n - POST /scheduled-scans/{id}/toggle/ 切换启用状态\n \n 查询参数：\n - target_id: 按目标 ID 过滤\n - organization_id: 按组织 ID 过滤\n - search: 按名称搜索\n \"\"\"\n \n queryset = ScheduledScan.objects.all().order_by('-created_at')\n serializer_class = ScheduledScanSerializer\n pagination_class = BasePagination\n filter_backends = [SearchFilter]\n search_fields = ['name']\n \n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.service = ScheduledScanService()\n \n def get_queryset(self):\n \"\"\"支持按 target_id 和 organization_id 过滤\"\"\"\n queryset = super().get_queryset()\n target_id = self.request.query_params.get('target_id')\n organization_id = self.request.query_params.get('organization_id')\n \n if target_id:\n queryset = queryset.filter(target_id=target_id)\n if organization_id:\n queryset = queryset.filter(organization_id=organization_id)\n \n return queryset\n \n def get_serializer_class(self):\n \"\"\"根据 action 返回不同的序列化器\"\"\"\n if self.action == 'create':\n return CreateScheduledScanSerializer\n elif self.action in ['update', 'partial_update']:\n return UpdateScheduledScanSerializer\n elif self.action == 'toggle':\n return ToggleScheduledScanSerializer\n return ScheduledScanSerializer\n \n def create(self, request, *args, **kwargs):\n \"\"\"创建定时扫描任务\"\"\"\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n try:\n data = serializer.validated_data\n dto = ScheduledScanDTO(\n name=data['name'],\n engine_ids=data.get('engine_ids', []),\n engine_names=data.get('engine_names', []),\n yaml_configuration=data['configuration'],\n organization_id=data.get('organization_id'),\n target_id=data.get('target_id'),\n cron_expression=data.get('cron_expression', '0 2 * * *'),\n is_enabled=data.get('is_enabled', True),\n )\n \n scheduled_scan = self.service.create_with_configuration(dto)\n response_serializer = ScheduledScanSerializer(scheduled_scan)\n \n return success_response(\n data=response_serializer.data,\n status_code=status.HTTP_201_CREATED\n )\n except ValidationError as e:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(e),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n def update(self, request, *args, **kwargs):\n \"\"\"更新定时扫描任务\"\"\"\n instance = self.get_object()\n serializer = self.get_serializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n try:\n data = serializer.validated_data\n dto = ScheduledScanDTO(\n name=data.get('name'),\n engine_ids=data.get('engine_ids'),\n organization_id=data.get('organization_id'),\n target_id=data.get('target_id'),\n cron_expression=data.get('cron_expression'),\n is_enabled=data.get('is_enabled'),\n )\n \n scheduled_scan = self.service.update(instance.id, dto)\n response_serializer = ScheduledScanSerializer(scheduled_scan)\n \n return success_response(data=response_serializer.data)\n except ConfigConflictError as e:\n return error_response(\n code='CONFIG_CONFLICT',\n message=str(e),\n details=[\n {'key': k, 'engines': [e1, e2]} \n for k, e1, e2 in e.conflicts\n ],\n status_code=status.HTTP_400_BAD_REQUEST\n )\n except ValidationError as e:\n return error_response(\n code=ErrorCodes.VALIDATION_ERROR,\n message=str(e),\n status_code=status.HTTP_400_BAD_REQUEST\n )\n \n def destroy(self, request, *args, **kwargs):\n \"\"\"删除定时扫描任务\"\"\"\n instance = self.get_object()\n scan_id = instance.id\n name = instance.name\n \n if self.service.delete(scan_id):\n return success_response(data={'id': scan_id, 'name': name})\n return error_response(\n code=ErrorCodes.SERVER_ERROR,\n message='Failed to delete scheduled scan',\n status_code=status.HTTP_500_INTERNAL_SERVER_ERROR\n )\n \n @action(detail=True, methods=['post'])\n def toggle(self, request, pk=None):\n \"\"\"切换定时扫描任务的启用状态\"\"\"\n serializer = ToggleScheduledScanSerializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n is_enabled = serializer.validated_data['is_enabled']\n \n if self.service.toggle_enabled(int(pk), is_enabled):\n scheduled_scan = self.get_object()\n response_serializer = ScheduledScanSerializer(scheduled_scan)\n \n return success_response(data=response_serializer.data)\n \n return error_response(\n code=ErrorCodes.NOT_FOUND,\n message=f'Scheduled scan with ID {pk} not found or operation failed',\n status_code=status.HTTP_404_NOT_FOUND\n )\n \n" }, { "path": "backend/apps/scan/views/subfinder_provider_settings_views.py", "content": "\"\"\"Subfinder Provider 配置视图\"\"\"\n\nimport logging\nfrom rest_framework import status\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\n\nfrom ..models import SubfinderProviderSettings\nfrom ..serializers import SubfinderProviderSettingsSerializer\n\nlogger = logging.getLogger(__name__)\n\n\nclass SubfinderProviderSettingsView(APIView):\n \"\"\"Subfinder Provider 配置视图\n \n GET /api/settings/api-keys/ - 获取配置\n PUT /api/settings/api-keys/ - 更新配置\n \"\"\"\n \n def get(self, request):\n \"\"\"获取 Subfinder Provider 配置\"\"\"\n settings = SubfinderProviderSettings.get_instance()\n serializer = SubfinderProviderSettingsSerializer(settings.providers)\n return Response(serializer.data)\n \n def put(self, request):\n \"\"\"更新 Subfinder Provider 配置\"\"\"\n serializer = SubfinderProviderSettingsSerializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n settings = SubfinderProviderSettings.get_instance()\n settings.providers.update(serializer.validated_data)\n settings.save()\n \n logger.info(\"Subfinder Provider 配置已更新\")\n \n return Response(SubfinderProviderSettingsSerializer(settings.providers).data)\n" }, { "path": "backend/apps/targets/__init__.py", "content": "" }, { "path": "backend/apps/targets/apps.py", "content": "from django.apps import AppConfig\n\n\nclass TargetsConfig(AppConfig):\n default_auto_field = 'django.db.models.BigAutoField'\n name = 'apps.targets'\n verbose_name = '扫描目标管理'\n" }, { "path": "backend/apps/targets/migrations/0001_initial.py", "content": "# Generated by Django 5.2.7 on 2026-01-06 00:55\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='Target',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(blank=True, default='', help_text='目标标识（域名/IP/CIDR）', max_length=300)),\n ('type', models.CharField(choices=[('domain', '域名'), ('ip', 'IP地址'), ('cidr', 'CIDR范围')], db_index=True, default='domain', help_text='目标类型', max_length=20)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('last_scanned_at', models.DateTimeField(blank=True, help_text='最后扫描时间', null=True)),\n ('deleted_at', models.DateTimeField(blank=True, db_index=True, help_text='删除时间（NULL表示未删除）', null=True)),\n ],\n options={\n 'verbose_name': '扫描目标',\n 'verbose_name_plural': '扫描目标',\n 'db_table': 'target',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['type'], name='target_type_36a73c_idx'), models.Index(fields=['-created_at'], name='target_created_67f489_idx'), models.Index(fields=['deleted_at', '-created_at'], name='target_deleted_9fc9da_idx'), models.Index(fields=['deleted_at', 'type'], name='target_deleted_306a89_idx'), models.Index(fields=['name'], name='target_name_f1c641_idx')],\n 'constraints': [models.UniqueConstraint(condition=models.Q(('deleted_at__isnull', True)), fields=('name',), name='unique_target_name_active')],\n },\n ),\n migrations.CreateModel(\n name='Organization',\n fields=[\n ('id', models.AutoField(primary_key=True, serialize=False)),\n ('name', models.CharField(blank=True, default='', help_text='组织名称', max_length=300)),\n ('description', models.CharField(blank=True, default='', help_text='组织描述', max_length=1000)),\n ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')),\n ('deleted_at', models.DateTimeField(blank=True, db_index=True, help_text='删除时间（NULL表示未删除）', null=True)),\n ('targets', models.ManyToManyField(blank=True, help_text='所属目标列表', related_name='organizations', to='targets.target')),\n ],\n options={\n 'verbose_name': '组织',\n 'verbose_name_plural': '组织',\n 'db_table': 'organization',\n 'ordering': ['-created_at'],\n 'indexes': [models.Index(fields=['-created_at'], name='organizatio_created_012eac_idx'), models.Index(fields=['deleted_at', '-created_at'], name='organizatio_deleted_2c604f_idx'), models.Index(fields=['name'], name='organizatio_name_bcc2ee_idx')],\n 'constraints': [models.UniqueConstraint(condition=models.Q(('deleted_at__isnull', True)), fields=('name',), name='unique_organization_name_active')],\n },\n ),\n ]\n" }, { "path": "backend/apps/targets/migrations/__init__.py", "content": "" }, { "path": "backend/apps/targets/models.py", "content": "from django.db import models\nfrom django.utils import timezone\n\n\nclass SoftDeleteManager(models.Manager):\n \"\"\"软删除管理器：默认只返回未删除的记录\"\"\"\n \n def get_queryset(self):\n return super().get_queryset().filter(deleted_at__isnull=True)\n\n\nclass Organization(models.Model):\n \"\"\"组织模型\"\"\"\n\n id = models.AutoField(primary_key=True)\n name = models.CharField(max_length=300, blank=True, default='', help_text='组织名称')\n description = models.CharField(max_length=1000, blank=True, default='', help_text='组织描述')\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n \n # ==================== 软删除字段 ====================\n deleted_at = models.DateTimeField(null=True, blank=True, db_index=True, help_text='删除时间（NULL表示未删除）')\n\n targets = models.ManyToManyField(\n 'Target',\n related_name='organizations',\n blank=True,\n help_text='所属目标列表'\n )\n \n # ==================== 管理器 ====================\n objects = SoftDeleteManager() # 默认管理器：只返回未删除的记录\n all_objects = models.Manager() # 全量管理器：包括已删除的记录（用于硬删除）\n\n class Meta:\n db_table = 'organization'\n verbose_name = '组织'\n verbose_name_plural = '组织'\n ordering = ['-created_at']\n # 部分唯一约束：只对未删除记录生效\n constraints = [\n models.UniqueConstraint(\n fields=['name'],\n condition=models.Q(deleted_at__isnull=True),\n name='unique_organization_name_active'\n ),\n ]\n indexes = [\n models.Index(fields=['-created_at']),\n models.Index(fields=['deleted_at', '-created_at']), # 软删除 + 时间索引\n models.Index(fields=['name']), # 优化 name 搜索\n ]\n\n def __str__(self):\n return str(self.name or f'Organization {self.id}')\n\n\nclass Target(models.Model):\n \"\"\"扫描目标模型\n\n 核心模型，存储要扫描的目标信息。\n 支持多种类型：域名、IP地址、CIDR范围等。\n \"\"\"\n\n # ==================== 类型定义 ====================\n class TargetType(models.TextChoices):\n DOMAIN = 'domain', '域名'\n IP = 'ip', 'IP地址'\n CIDR = 'cidr', 'CIDR范围'\n\n # ==================== 基本字段 ====================\n id = models.AutoField(primary_key=True)\n name = models.CharField(max_length=300, blank=True, default='', help_text='目标标识（域名/IP/CIDR）')\n\n type = models.CharField(\n max_length=20,\n choices=TargetType.choices,\n default=TargetType.DOMAIN,\n db_index=True,\n help_text='目标类型'\n )\n\n # ==================== 时间戳 ====================\n created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间')\n last_scanned_at = models.DateTimeField(null=True, blank=True, help_text='最后扫描时间')\n \n # ==================== 软删除字段 ====================\n deleted_at = models.DateTimeField(null=True, blank=True, db_index=True, help_text='删除时间（NULL表示未删除）')\n \n # ==================== 管理器 ====================\n objects = SoftDeleteManager() # 默认管理器：只返回未删除的记录\n all_objects = models.Manager() # 全量管理器：包括已删除的记录（用于硬删除）\n\n class Meta:\n db_table = 'target'\n verbose_name = '扫描目标'\n verbose_name_plural = '扫描目标'\n ordering = ['-created_at']\n # 部分唯一约束：只对未删除记录生效\n constraints = [\n models.UniqueConstraint(\n fields=['name'],\n condition=models.Q(deleted_at__isnull=True),\n name='unique_target_name_active'\n ),\n ]\n indexes = [\n models.Index(fields=['type']),\n models.Index(fields=['-created_at']),\n models.Index(fields=['deleted_at', '-created_at']), # 软删除 + 时间索引\n models.Index(fields=['deleted_at', 'type']), # 软删除 + 类型索引\n models.Index(fields=['name']), # 优化 name 搜索\n ]\n\n def __str__(self):\n return str(self.name or f'Target {self.id}')\n" }, { "path": "backend/apps/targets/repositories/__init__.py", "content": "\"\"\"\nTarget Repositories 模块\n\n提供 Target 和 Organization 数据访问层\n\"\"\"\n\nfrom .django_target_repository import DjangoTargetRepository\nfrom .django_organization_repository import DjangoOrganizationRepository\n\n__all__ = [\n 'DjangoTargetRepository',\n 'DjangoOrganizationRepository',\n]\n" }, { "path": "backend/apps/targets/repositories/django_organization_repository.py", "content": "\"\"\"\nOrganization Django ORM 仓储实现\n\n使用 Django ORM 实现组织数据访问\n\"\"\"\n\nimport logging\nfrom typing import List, Tuple, Dict\nfrom django.db.models import Count\nfrom django.utils import timezone\n\nfrom ..models import Organization, Target\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoOrganizationRepository:\n \"\"\"Organization Django ORM 仓储实现\"\"\"\n \n def bulk_add_targets(self, organization_id: int, targets: List[Target]) -> None:\n \"\"\"\n 批量添加目标到组织\n \n 注意：会自动按 (organization_id, target_id) 去重，保留最后一条记录。\n \n Args:\n organization_id: 组织 ID\n targets: Target 对象列表\n \"\"\"\n if not targets:\n return\n \n # 使用 through model 批量插入，避免 N 次 add()\n ThroughModel = Organization.targets.through\n \n # 按 target_id 去重，避免批次内重复\n seen = {}\n for t in targets:\n seen[t.id] = t\n unique_targets = list(seen.values())\n \n if len(unique_targets) < len(targets):\n logger.debug(f\"Organization-Target 关联去重: {len(targets)} -> {len(unique_targets)} 条\")\n \n relations = [\n ThroughModel(organization_id=organization_id, target_id=t.id)\n for t in unique_targets\n ]\n \n # 根据 through model 唯一约束自动去重\n unique_relations = deduplicate_for_bulk(relations, ThroughModel)\n \n try:\n # 使用 ignore_conflicts 忽略已存在的关联\n ThroughModel.objects.bulk_create(unique_relations, ignore_conflicts=True)\n except Exception as e:\n logger.error(f\"批量关联目标失败: {e}\")\n raise\n\n def get_by_id(self, organization_id: int) -> Organization | None:\n \"\"\"\n 根据 ID 获取组织\n \n Args:\n organization_id: 组织 ID\n \n Returns:\n Organization 对象或 None\n \"\"\"\n try:\n return Organization.objects.get(id=organization_id)\n except Organization.DoesNotExist:\n logger.warning(\"组织不存在 - Organization ID: %s\", organization_id)\n return None\n \n def get_names_by_ids(self, organization_ids: List[int]) -> List[Tuple[int, str]]:\n \"\"\"\n 根据 ID 列表获取组织的 ID 和名称\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n [(id, name), ...] 元组列表\n \"\"\"\n return list(\n Organization.objects\n .filter(id__in=organization_ids)\n .values_list('id', 'name')\n )\n \n def soft_delete_by_ids(self, organization_ids: List[int]) -> int:\n \"\"\"\n 根据 ID 列表批量软删除组织\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n 软删除的记录数\n \n Note:\n - 使用软删除：只标记为已删除，不真正删除数据库记录\n - 保留所有关联数据，可恢复\n - 不会影响关联的目标（多对多关系保持不变）\n \"\"\"\n try:\n updated_count = (\n Organization.objects\n .filter(id__in=organization_ids)\n .update(deleted_at=timezone.now())\n )\n logger.debug(\n \"批量软删除组织成功 - Count: %s, 更新记录: %s\",\n len(organization_ids),\n updated_count\n )\n return updated_count\n except Exception as e:\n logger.error(\n \"批量软删除组织失败 - IDs: %s, 错误: %s\",\n organization_ids,\n e\n )\n raise\n \n def get_targets(self, organization_id: int) -> List[Target]:\n \"\"\"\n 获取组织下的所有目标\n \n Args:\n organization_id: 组织 ID\n \n Returns:\n Target 对象列表\n \"\"\"\n organization = self.get_by_id(organization_id)\n if not organization:\n return []\n return list(organization.targets.all())\n \n def get_all(self):\n \"\"\"\n 获取所有组织\n \n Returns:\n QuerySet: 组织查询集\n \"\"\"\n return Organization.objects.all()\n \n def get_all_with_stats(self):\n \"\"\"\n 获取所有组织并预计算目标数量\n \n Returns:\n QuerySet: 带统计信息的组织查询集\n \"\"\"\n return (\n Organization.objects\n .annotate(target_count=Count('targets'))\n .order_by('-created_at')\n )\n \n def get_by_ids(self, organization_ids: List[int]) -> List[Organization]:\n \"\"\"\n 根据 ID 列表获取组织（只返回未删除的）\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n Organization 对象列表\n \"\"\"\n return list(Organization.objects.filter(id__in=organization_ids))\n \n def hard_delete_by_ids(self, organization_ids: List[int]) -> Tuple[int, Dict[str, int]]:\n \"\"\"\n 根据 ID 列表硬删除组织（真正删除数据）\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n (删除的记录数, 删除详情字典)\n \n Note:\n - 硬删除：从数据库中永久删除\n - 使用 Django CASCADE 自动删除中间表 organization_targets 的关联记录\n - 不会删除关联的 Target（多对多关系）\n - ⚠️ 不可恢复\n - @auto_ensure_db_connection 自动重试数据库连接失败\n \"\"\"\n try:\n # 使用 all_objects 管理器，可以删除已软删除的记录\n deleted_count, deleted_details = (\n Organization.all_objects\n .filter(id__in=organization_ids)\n .delete()\n )\n \n logger.debug(\n \"硬删除组织成功 - Count: %s, 删除记录数: %s, 详情: %s\",\n len(organization_ids),\n deleted_count,\n deleted_details\n )\n \n return deleted_count, deleted_details\n \n except Exception as e:\n logger.error(\n \"硬删除组织失败 - IDs: %s, 错误: %s\",\n organization_ids,\n e\n )\n raise\n \n" }, { "path": "backend/apps/targets/repositories/django_target_repository.py", "content": "\"\"\"\nTarget Django ORM 仓储实现\n\n使用 Django ORM 实现目标数据访问\n\"\"\"\n\nimport logging\nfrom typing import List, Tuple, Dict\nfrom django.db import transaction, IntegrityError, OperationalError, DatabaseError\nfrom django.utils import timezone\n\nfrom ..models import Target\nfrom apps.common.decorators import auto_ensure_db_connection\nfrom apps.common.utils import deduplicate_for_bulk\n\nlogger = logging.getLogger(__name__)\n\n\n@auto_ensure_db_connection\nclass DjangoTargetRepository:\n \"\"\"Target Django ORM 仓储实现\"\"\"\n \n def count_by_ids(self, target_ids: List[int]) -> int:\n \"\"\"\n 统计给定 ID 列表中存在的目标数量\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n 存在的目标数量\n \"\"\"\n if not target_ids:\n return 0\n return Target.objects.filter(id__in=target_ids).count()\n \n def get_by_ids(self, target_ids: List[int]) -> List[Target]:\n \"\"\"\n 根据 ID 列表批量获取目标\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n Target 对象列表\n \"\"\"\n if not target_ids:\n return []\n return list(Target.objects.filter(id__in=target_ids))\n \n def bulk_create_ignore_conflicts(self, targets: List[Target]) -> None:\n \"\"\"\n 批量创建目标，忽略冲突\n \n 注意：会自动按 name 去重，保留最后一条记录。\n \n Args:\n targets: Target 对象列表\n \"\"\"\n if not targets:\n return\n \n try:\n # 根据模型唯一约束自动去重\n unique_targets = deduplicate_for_bulk(targets, Target)\n \n Target.objects.bulk_create(unique_targets, ignore_conflicts=True)\n except Exception as e:\n logger.error(f\"批量创建目标失败: {e}\")\n raise\n\n def get_by_names(self, names: List[str]) -> List[Target]:\n \"\"\"\n 根据名称列表批量获取目标\n \n Args:\n names: 目标名称列表\n \n Returns:\n Target 对象列表\n \"\"\"\n if not names:\n return []\n return list(Target.objects.filter(name__in=names))\n\n def get_by_id(self, target_id: int) -> Target | None:\n \"\"\"\n 根据 ID 获取目标\n \n Args:\n target_id: 目标 ID\n \n Returns:\n Target 对象或 None\n \"\"\"\n try:\n return Target.objects.get(id=target_id)\n except Target.DoesNotExist:\n logger.warning(\"目标不存在 - Target ID: %s\", target_id)\n return None\n \n def get_names_by_ids(self, target_ids: List[int]) -> List[Tuple[int, str]]:\n \"\"\"\n 根据 ID 列表获取目标的 ID 和名称\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n [(id, name), ...] 元组列表\n \"\"\"\n return list(\n Target.objects\n .filter(id__in=target_ids)\n .values_list('id', 'name')\n )\n \n def soft_delete_by_ids(self, target_ids: List[int]) -> int:\n \"\"\"\n 根据 ID 列表批量软删除目标\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n 软删除的记录数\n \n Note:\n - 使用软删除：只标记为已删除，不真正删除数据库记录\n - 保留所有关联数据，可恢复\n \"\"\"\n try:\n updated_count = (\n Target.objects\n .filter(id__in=target_ids)\n .update(deleted_at=timezone.now())\n )\n logger.debug(\n \"批量软删除目标成功 - Count: %s, 更新记录: %s\",\n len(target_ids),\n updated_count\n )\n return updated_count\n except Exception as e:\n logger.error(\n \"批量软删除目标失败 - IDs: %s, 错误: %s\",\n target_ids,\n e\n )\n raise\n \n def get_all(self):\n \"\"\"\n 获取所有目标\n \n Returns:\n QuerySet: 目标查询集\n \"\"\"\n return Target.objects.prefetch_related('organizations').all()\n \n def get_or_create(self, name: str, target_type: str):\n \"\"\"\n 获取或创建目标\n \n Args:\n name: 目标名称\n target_type: 目标类型\n \n Returns:\n (Target对象, 是否新创建的布尔值)\n \"\"\"\n return Target.objects.get_or_create(\n name=name,\n defaults={'type': target_type}\n )\n \n def hard_delete_by_ids(self, target_ids: List[int]) -> Tuple[int, Dict[str, int]]:\n \"\"\"\n 根据 ID 列表硬删除目标（使用数据库级 CASCADE）\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n (删除的记录数, 删除详情字典)\n \n Strategy:\n 使用数据库级 CASCADE 删除，性能最优\n \n Note:\n - 硬删除：从数据库中永久删除\n - 数据库自动处理所有外键级联删除\n - 不触发 Django 信号（pre_delete/post_delete）\n \"\"\"\n try:\n batch_size = 1000 # 每批处理1000个目标\n total_deleted = 0\n \n logger.debug(f\"开始批量删除 {len(target_ids)} 个目标（数据库 CASCADE）...\")\n \n # 分批处理目标ID，避免单次删除过多\n for i in range(0, len(target_ids), batch_size):\n batch_ids = target_ids[i:i + batch_size]\n \n # 直接删除目标，数据库自动级联删除所有关联数据\n count, _ = Target.all_objects.filter(id__in=batch_ids).delete()\n total_deleted += count\n \n logger.debug(f\"批次删除完成: {len(batch_ids)} 个目标，删除 {count} 条记录\")\n \n # 由于使用数据库 CASCADE，无法获取详细统计\n deleted_details = {\n 'targets': len(target_ids),\n 'total': total_deleted,\n 'note': 'Database CASCADE - detailed stats unavailable'\n }\n \n logger.debug(\n \"批量硬删除成功（CASCADE）- 目标数: %s, 总删除记录: %s\",\n len(target_ids),\n total_deleted\n )\n \n return total_deleted, deleted_details\n \n except Exception as e:\n logger.error(\n \"批量硬删除失败（CASCADE）- 目标数: %s, 错误: %s\",\n len(target_ids),\n str(e),\n exc_info=True\n )\n raise\n \n def update_last_scanned_at(self, target_id: int, scanned_at) -> bool:\n \"\"\"\n 更新目标的最后扫描时间\n \n Args:\n target_id: 目标 ID\n scanned_at: 扫描时间\n \n Returns:\n 是否更新成功\n \"\"\"\n try:\n updated = Target.objects.filter(id=target_id).update(last_scanned_at=scanned_at)\n return updated > 0\n except Exception as e:\n logger.error(\"更新最后扫描时间失败 - Target ID: %s, 错误: %s\", target_id, e)\n return False\n" }, { "path": "backend/apps/targets/scripts/__init__.py", "content": "" }, { "path": "backend/apps/targets/scripts/run_delete_organizations.py", "content": "#!/usr/bin/env python\n\"\"\"\n组织硬删除脚本\n\n用于动态容器执行，硬删除已软删除的组织及其关联数据。\n\"\"\"\nimport sys\nimport argparse\nimport json\nimport logging\nfrom apps.common.container_bootstrap import fetch_config_and_setup_django\n\nlogging.basicConfig(\n level=logging.INFO,\n format='[%(asctime)s] [%(levelname)s] %(message)s',\n datefmt='%Y-%m-%d %H:%M:%S'\n)\nlogger = logging.getLogger(__name__)\n\n\ndef hard_delete_organizations(organization_ids: list[int]) -> dict:\n \"\"\"\n 硬删除组织\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n 删除统计信息\n \"\"\"\n from apps.targets.services import OrganizationService\n \n service = OrganizationService()\n \n try:\n deleted_count, details = service.hard_delete_organizations(organization_ids)\n \n logger.info(f\"✓ 硬删除完成 - 删除数量: {deleted_count}\")\n logger.info(f\" 详情: {details}\")\n \n return {\n 'success': True,\n 'deleted_count': deleted_count,\n 'details': details,\n }\n \n except Exception as e:\n logger.error(f\"硬删除失败: {e}\", exc_info=True)\n return {\n 'success': False,\n 'error': str(e),\n }\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\"硬删除组织\")\n parser.add_argument(\"--organization_ids\", type=str, required=True, help=\"组织 ID 列表 (JSON)\")\n \n args = parser.parse_args()\n \n # 解析 organization_ids\n organization_ids = json.loads(args.organization_ids)\n \n logger.info(f\"开始硬删除 {len(organization_ids)} 个组织\")\n \n # 获取配置并初始化 Django\n fetch_config_and_setup_django()\n \n # 执行删除\n result = hard_delete_organizations(organization_ids)\n \n print(f\"删除完成: {result}\")\n \n if not result.get('success'):\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "backend/apps/targets/scripts/run_delete_targets.py", "content": "#!/usr/bin/env python\n\"\"\"\n目标硬删除脚本\n\n用于动态容器执行，硬删除已软删除的目标。\n\"\"\"\nimport sys\nimport argparse\nimport json\nimport logging\nfrom apps.common.container_bootstrap import fetch_config_and_setup_django\n\nlogging.basicConfig(\n level=logging.INFO,\n format='[%(asctime)s] [%(levelname)s] %(message)s',\n datefmt='%Y-%m-%d %H:%M:%S'\n)\nlogger = logging.getLogger(__name__)\n\n\ndef hard_delete_targets(target_ids: list[int]) -> dict:\n \"\"\"\n 硬删除目标\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n 删除统计信息\n \"\"\"\n from apps.targets.services import TargetService\n \n service = TargetService()\n \n try:\n deleted_count, details = service.hard_delete_targets(target_ids)\n \n logger.info(f\"✓ 硬删除完成 - 删除数量: {deleted_count}\")\n logger.info(f\" 详情: {details}\")\n \n return {\n 'success': True,\n 'deleted_count': deleted_count,\n 'details': details,\n }\n \n except Exception as e:\n logger.error(f\"硬删除失败: {e}\", exc_info=True)\n return {\n 'success': False,\n 'error': str(e),\n }\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\"硬删除目标\")\n parser.add_argument(\"--target_ids\", type=str, required=True, help=\"目标 ID 列表 (JSON)\")\n \n args = parser.parse_args()\n \n # 解析 target_ids\n target_ids = json.loads(args.target_ids)\n \n logger.info(f\"开始硬删除 {len(target_ids)} 个目标\")\n \n # 获取配置并初始化 Django\n fetch_config_and_setup_django()\n \n # 执行删除\n result = hard_delete_targets(target_ids)\n \n print(f\"删除完成: {result}\")\n \n if not result.get('success'):\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "backend/apps/targets/serializers.py", "content": "from rest_framework import serializers\nfrom django.db import IntegrityError\nfrom django.db.models import Count\nfrom .models import Organization, Target\nfrom apps.common.normalizer import normalize_target\nfrom apps.common.validators import detect_target_type\nfrom apps.asset.models import Vulnerability\n\n\nclass SimpleOrganizationSerializer(serializers.ModelSerializer):\n \"\"\"\n 简化版组织序列化器 - 用于嵌套在其他序列化器中\n \n 注意事项:\n 1. 只包含基本字段 (id, name)，不嵌套 targets\n 2. 避免循环引用：Organization ↔ Target 是多对多关系\n 如果双向嵌套会导致无限递归\n 3. 适用场景：\n - 在 TargetSerializer 中显示所属组织列表\n - 在其他需要显示组织基本信息的地方\n \"\"\"\n class Meta:\n model = Organization\n fields = ['id', 'name']\n\n\nclass TargetSerializer(serializers.ModelSerializer):\n \"\"\"\n 目标序列化器\n \n 性能优化说明:\n 1. 使用嵌套序列化器 SimpleOrganizationSerializer 显示关联的组织\n 2. ⚠️ 重要：ViewSet 必须使用 prefetch_related('organizations')\n 否则会产生 N+1 查询问题：\n - 没有预加载：100 个目标 = 1 + 100 = 101 次查询\n - 正确预加载：100 个目标 = 1 + 1 = 2 次查询\n \n 已优化的视图:\n - TargetViewSet: queryset = Target.objects.prefetch_related('organizations')\n - OrganizationViewSet.targets(): queryset.prefetch_related('organizations')\n \"\"\"\n organizations = SimpleOrganizationSerializer(many=True, read_only=True)\n \n class Meta:\n model = Target\n fields = ['id', 'name', 'type', 'created_at', 'last_scanned_at', 'organizations']\n read_only_fields = ['id', 'created_at', 'type']\n \n def create(self, validated_data):\n \"\"\"创建目标时自动规范化、检测目标类型\"\"\"\n name = validated_data.get('name', '')\n try:\n # 1. 规范化\n normalized_name = normalize_target(name)\n # 2. 验证并检测类型\n target_type = detect_target_type(normalized_name)\n # 3. 写入\n validated_data['name'] = normalized_name\n validated_data['type'] = target_type\n \n return super().create(validated_data)\n except ValueError as e:\n raise serializers.ValidationError({'name': str(e)})\n except IntegrityError:\n # 处理唯一性约束冲突\n raise serializers.ValidationError({\n 'name': f'目标 \"{normalized_name}\" 已存在'\n })\n \n def update(self, instance, validated_data):\n \"\"\"更新目标时，如果 name 变化则重新规范化和检测类型\"\"\"\n # 如果 name 发生变化，重新规范化和检测类型\n if 'name' in validated_data and validated_data['name'] != instance.name:\n try:\n # 1. 规范化\n normalized_name = normalize_target(validated_data['name'])\n # 2. 验证并检测类型\n target_type = detect_target_type(normalized_name)\n # 3. 写入\n validated_data['name'] = normalized_name\n validated_data['type'] = target_type\n except ValueError as e:\n raise serializers.ValidationError({'name': str(e)})\n \n try:\n return super().update(instance, validated_data)\n except IntegrityError:\n # 处理唯一性约束冲突\n raise serializers.ValidationError({\n 'name': f'目标 \"{validated_data.get(\"name\", instance.name)}\" 已存在'\n })\n\n\nclass TargetDetailSerializer(serializers.ModelSerializer):\n \"\"\"\n 目标详情序列化器 - 包含统计数据\n \n 用于单个目标详情页面（只读），包含各类资产的统计数量\n \n Note:\n - 此序列化器只用于 retrieve action（只读操作）\n - 不包含 create/update 方法，因为详情页不需要修改功能\n - 所有字段都是只读的，包括 name\n \"\"\"\n organizations = SimpleOrganizationSerializer(many=True, read_only=True)\n summary = serializers.SerializerMethodField()\n \n class Meta:\n model = Target\n fields = ['id', 'name', 'type', 'created_at', 'last_scanned_at', 'organizations', 'summary']\n read_only_fields = ['id', 'name', 'type', 'created_at', 'last_scanned_at', 'summary']\n \n def get_summary(self, obj):\n \"\"\"计算目标资产统计数据\n \n 统计该目标下的资产数量：\n - subdomains: 子域名数量\n - websites: 网站数量\n - endpoints: 端点数量\n - ips: IP地址数量\n - directories: 目录数量\n - screenshots: 截图数量\n - vulnerabilities: 漏洞统计（暂时返回 0，待后续实现）\n \n 性能说明：\n - 使用 .count() 查询获取统计数据\n - 每个统计字段执行一次数据库查询\n - 不使用 annotate 预聚合的原因：多个 Count(distinct=True) 在大数据量时性能较差\n - 对于详情页单条记录，直接 .count() 查询性能可接受\n - ips 统计使用 distinct() 去重，因为 HostPortMapping 中同一 IP 可能有多个端口\n \"\"\"\n # 基础资产统计（直接使用关联关系 count）\n subdomains_count = obj.subdomains.count()\n websites_count = obj.websites.count()\n endpoints_count = obj.endpoints.count()\n ips_count = obj.host_port_mappings.values('ip').distinct().count()\n directories_count = obj.directories.count()\n screenshots_count = obj.screenshots.count()\n\n # 漏洞统计：按目标维度实时统计 Vulnerability 资产表\n vuln_qs = obj.vulnerabilities.all()\n\n total = vuln_qs.count()\n\n severity_stats = {\n 'critical': 0,\n 'high': 0,\n 'medium': 0,\n 'low': 0,\n }\n\n for row in vuln_qs.values('severity').annotate(count=Count('id')):\n sev = row['severity'] or ''\n count = row['count'] or 0\n if sev in severity_stats:\n severity_stats[sev] = count\n\n return {\n 'subdomains': subdomains_count,\n 'websites': websites_count,\n 'endpoints': endpoints_count,\n 'ips': ips_count,\n 'directories': directories_count,\n 'screenshots': screenshots_count,\n 'vulnerabilities': {\n 'total': total,\n **severity_stats,\n }\n }\n\n\nclass OrganizationSerializer(serializers.ModelSerializer):\n # 使用 IntegerField 接收由 annotate 预计算的 target_count\n # 避免 N+1 查询问题（在 ViewSet 的 get_queryset 中使用 annotate 预计算）\n target_count = serializers.IntegerField(read_only=True)\n \n class Meta:\n model = Organization\n fields = ['id', 'name', 'description', 'created_at', 'target_count']\n read_only_fields = ['id', 'created_at', 'target_count']\n\n\nclass BatchCreateTargetSerializer(serializers.Serializer):\n \"\"\"\n 批量创建目标的序列化器\n \n 安全限制：\n - 最多支持 5000 个目标的批量创建\n - 防止恶意用户提交大量数据导致服务器过载\n \"\"\"\n \n # 批量创建的最大数量限制\n MAX_BATCH_SIZE = 5000\n \n # 目标列表\n targets = serializers.ListField(\n child=serializers.DictField(),\n help_text='目标列表，每个目标包含 name 字段（type 会自动检测）'\n )\n \n # 可选：关联的组织ID\n organization_id = serializers.IntegerField(\n required=False,\n allow_null=True,\n help_text='可选：关联到指定组织的ID'\n )\n \n def validate_targets(self, value):\n \"\"\"验证目标列表\"\"\"\n if not value:\n raise serializers.ValidationError(\"目标列表不能为空\")\n \n # 检查数量限制，防止服务器过载\n if len(value) > self.MAX_BATCH_SIZE:\n raise serializers.ValidationError(\n f\"批量创建最多支持 {self.MAX_BATCH_SIZE} 个目标，当前提交了 {len(value)} 个\"\n )\n \n # 验证每个目标的必填字段\n for idx, target in enumerate(value):\n if 'name' not in target:\n raise serializers.ValidationError(f\"第 {idx + 1} 个目标缺少 name 字段\")\n if not target['name']:\n raise serializers.ValidationError(f\"第 {idx + 1} 个目标的 name 不能为空\")\n \n return value\n \n" }, { "path": "backend/apps/targets/services/__init__.py", "content": "\"\"\"Target Services\"\"\"\n\nfrom .target_service import TargetService\n\n__all__ = ['TargetService']\n" }, { "path": "backend/apps/targets/services/organization_service.py", "content": "\"\"\"\nOrganization 业务逻辑服务层（Service）\n\n负责组织相关的业务逻辑处理\n\"\"\"\n\nimport logging\nfrom typing import List, Tuple, Dict\n\nfrom ..models import Organization\nfrom ..repositories.django_organization_repository import DjangoOrganizationRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass OrganizationService:\n \"\"\"Organization 业务逻辑服务\"\"\"\n \n def __init__(self):\n \"\"\"初始化服务，注入 Repository 依赖\"\"\"\n self.repo = DjangoOrganizationRepository()\n \n # ==================== 查询操作 ====================\n \n def get_organization(self, organization_id: int) -> Organization | None:\n \"\"\"\n 获取组织\n \n Args:\n organization_id: 组织 ID\n \n Returns:\n Organization 对象或 None\n \"\"\"\n return self.repo.get_by_id(organization_id)\n \n \n def get_all(self):\n \"\"\"\n 获取所有组织\n \n Returns:\n QuerySet: 组织查询集\n \"\"\"\n return self.repo.get_all()\n \n def get_all_with_stats(self):\n \"\"\"\n 获取所有组织（带统计信息）\n \n Returns:\n QuerySet: 带统计信息的组织查询集\n \"\"\"\n return self.repo.get_all_with_stats()\n \n # ==================== 创建操作 ====================\n \n def bulk_add_targets(self, organization_id: int, targets: List) -> None:\n \"\"\"\n 批量添加目标到组织\n \n Args:\n organization_id: 组织 ID\n targets: Target 对象列表\n \"\"\"\n logger.debug(\"批量关联目标到组织 - Org ID: %s, Targets: %s\", organization_id, len(targets))\n self.repo.bulk_add_targets(organization_id, targets)\n\n # ==================== 删除操作 ====================\n \n def delete_organizations_two_phase(self, organization_ids: List[int]) -> Dict:\n \"\"\"\n 两阶段删除组织（业务方法）\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n {\n 'soft_deleted_count': int,\n 'hard_delete_scheduled': bool\n }\n \n Raises:\n ValueError: 未找到要删除的组织\n \n Note:\n - 阶段 1：软删除（立即），用户立即看不到数据\n - 阶段 2：硬删除（后台），真正删除数据和中间表\n \"\"\"\n \n # 0. 先获取组织名称（用于返回给前端）\n org_names = [name for _, name in self.repo.get_names_by_ids(organization_ids)]\n \n # 1. 软删除（如果 ID 不存在，update 返回 0）\n soft_count = self.soft_delete_organizations(organization_ids)\n \n # 2. 检查是否有记录被删除\n if soft_count == 0:\n raise ValueError(\"未找到要删除的组织\")\n \n logger.info(f\"✓ 软删除完成: {soft_count} 个组织\")\n \n # 3. 使用 task_distributor 分发硬删除任务到 Worker\n try:\n from apps.engine.services.task_distributor import get_task_distributor\n \n distributor = get_task_distributor()\n success, message, container_id = distributor.execute_delete_task(\n task_type='organizations',\n ids=organization_ids\n )\n \n if success:\n logger.info(f\"✓ 硬删除任务已分发 - Container: {container_id}\")\n else:\n logger.warning(f\"硬删除任务分发失败: {message}\")\n \n except Exception as e:\n logger.error(f\"❌ 分发删除任务失败: {e}\", exc_info=True)\n logger.warning(\"硬删除可能未成功提交，请检查 Worker 状态\")\n \n return {\n 'soft_deleted_count': soft_count,\n 'organization_names': org_names,\n 'hard_delete_scheduled': True\n }\n \n def soft_delete_organizations(self, organization_ids: List[int]) -> int:\n \"\"\"\n 软删除组织\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n 软删除的记录数\n \n Note:\n - 返回值是实际更新的记录数，不是传入的 ID 数量\n - 如果某些 ID 不存在，返回值会小于传入的 ID 数量\n \"\"\"\n logger.info(\"软删除 %d 个组织\", len(organization_ids))\n \n try:\n deleted_count = self.repo.soft_delete_by_ids(organization_ids)\n logger.info(\"✓ 软删除成功 - 数量: %d\", deleted_count)\n return deleted_count\n except Exception as e:\n logger.error(\"软删除失败: %s\", e)\n raise\n \n def hard_delete_organizations(self, organization_ids: List[int]) -> Tuple[int, Dict[str, int]]:\n \"\"\"\n 硬删除组织（真正删除数据，使用 Django CASCADE）\n \n Args:\n organization_ids: 组织 ID 列表\n \n Returns:\n (删除的记录数, 删除详情字典)\n \n Note:\n - 从数据库中永久删除\n - Django CASCADE 自动删除 organization_targets 中间表记录\n - 不会删除关联的 Target（多对多）\n \"\"\"\n logger.info(\"硬删除 %d 个组织\", len(organization_ids))\n \n try:\n deleted_count, deleted_details = self.repo.hard_delete_by_ids(organization_ids)\n logger.info(\"✓ 硬删除成功 - 数量: %d, 删除记录数: %d\", len(organization_ids), deleted_count)\n return deleted_count, deleted_details\n except Exception as e:\n logger.error(\"❌ 硬删除失败 - IDs: %s, 错误: %s\", organization_ids, e)\n raise\n" }, { "path": "backend/apps/targets/services/target_service.py", "content": "\"\"\"\nTarget 业务逻辑服务层（Service）\n\n负责目标相关的业务逻辑处理\n\"\"\"\n\nimport logging\nfrom typing import List, Tuple, Dict, Any, Optional\n\nfrom django.db import transaction\n\nfrom ..models import Target\nfrom ..repositories.django_target_repository import DjangoTargetRepository\n\nlogger = logging.getLogger(__name__)\n\n\nclass TargetService:\n \"\"\"Target 业务逻辑服务\"\"\"\n \n def __init__(self):\n \"\"\"初始化服务，注入 Repository 依赖\"\"\"\n self.repo = DjangoTargetRepository()\n \n # ==================== 查询方法 ====================\n \n def count_existing_ids(self, target_ids: List[int]) -> int:\n \"\"\"\n 统计给定 ID 列表中实际存在的目标数量\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n 存在的目标数量\n \"\"\"\n return self.repo.count_by_ids(target_ids)\n \n # ==================== 查询操作 ====================\n \n def get_target(self, target_id: int) -> Target | None:\n \"\"\"\n 获取目标\n \n Args:\n target_id: 目标 ID\n \n Returns:\n Target 对象或 None\n \"\"\"\n return self.repo.get_by_id(target_id)\n \n def get_by_id(self, target_id: int) -> Target | None:\n \"\"\"\n 根据 ID 获取目标（get_target 别名）\n \n Args:\n target_id: 目标 ID\n \n Returns:\n Target 对象或 None\n \"\"\"\n return self.repo.get_by_id(target_id)\n \n \n def get_all(self):\n \"\"\"\n 获取所有目标\n \n Returns:\n QuerySet: 目标查询集\n \"\"\"\n return self.repo.get_all()\n \n def get_targets_by_names(self, names: List[str]) -> List[Target]:\n \"\"\"\n 根据名称批量获取目标\n \n Args:\n names: 目标名称列表\n \n Returns:\n Target 对象列表\n \"\"\"\n return self.repo.get_by_names(names)\n\n def update_last_scanned_at(self, target_id: int) -> bool:\n \"\"\"\n 更新目标的最后扫描时间\n \n Args:\n target_id: 目标 ID\n \n Returns:\n 是否更新成功\n \"\"\"\n from django.utils import timezone\n return self.repo.update_last_scanned_at(target_id, timezone.now())\n \n # ==================== 创建操作 ====================\n \n def batch_create_targets(\n self,\n targets_data: List[Dict[str, Any]],\n organization_id: Optional[int] = None\n ) -> Dict[str, Any]:\n \"\"\"\n 批量创建目标\n \n Args:\n targets_data: 目标数据列表，每个元素包含 name 字段\n organization_id: 可选，关联到指定组织的 ID\n \n Returns:\n {\n 'created_count': int, # 处理的目标数量\n 'failed_count': int,\n 'failed_targets': List[Dict],\n 'message': str\n }\n \n Performance:\n 使用 bulk_create(ignore_conflicts=True) 直接创建，无需先查询。\n 1000个目标：~30ms\n \"\"\"\n from apps.targets.models import Target\n from apps.common.normalizer import normalize_target\n from apps.common.validators import detect_target_type\n from .organization_service import OrganizationService\n \n # ==================== 步骤 1：预处理数据 ====================\n # 目的：规范化目标名称、检测类型、去重、过滤无效数据\n valid_targets_map = {} # {name: type}\n failed_targets = []\n \n for data in targets_data:\n name = data.get('name')\n if not name:\n continue\n \n try:\n norm_name = normalize_target(name)\n t_type = detect_target_type(norm_name)\n valid_targets_map[norm_name] = t_type\n except ValueError as e:\n failed_targets.append({'name': name, 'reason': str(e)})\n\n if not valid_targets_map:\n return {\n 'created_count': 0,\n 'failed_count': len(failed_targets),\n 'failed_targets': failed_targets,\n 'message': \"没有有效的目标\"\n }\n\n # 验证组织是否存在\n if organization_id:\n org_service = OrganizationService()\n organization = org_service.get_organization(organization_id)\n if not organization:\n raise ValueError(f'组织 ID {organization_id} 不存在')\n\n target_names = list(valid_targets_map.keys())\n \n with transaction.atomic():\n # ==================== 步骤 2：批量创建 Target（忽略冲突）====================\n target_objs = [\n Target(name=name, type=t_type) \n for name, t_type in valid_targets_map.items()\n ]\n self.repo.bulk_create_ignore_conflicts(target_objs)\n \n # ==================== 步骤 3：处理关联组织 ====================\n if organization_id:\n # 重新查询获取所有涉及的 Target 对象（含 ID）\n all_targets = self.repo.get_by_names(target_names)\n org_service = OrganizationService()\n org_service.bulk_add_targets(organization_id, all_targets)\n\n # ==================== 懒加载模式：不预创建任何资产 ====================\n # Subdomain/Website/Endpoint 将在各扫描流程中按需创建\n \n created_count = len(valid_targets_map)\n \n logger.info(\n \"批量创建目标完成（懒加载模式）- 处理: %d, 失败: %d\",\n created_count, len(failed_targets)\n )\n \n return {\n 'created_count': created_count,\n 'failed_count': len(failed_targets),\n 'failed_targets': failed_targets,\n 'message': f\"成功处理 {created_count} 个目标\"\n }\n \n # ==================== 删除操作 ====================\n \n def delete_targets_two_phase(self, target_ids: List[int]) -> Dict:\n \"\"\"\n 两阶段删除目标（业务方法）\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n {\n 'soft_deleted_count': int,\n 'hard_delete_scheduled': bool\n }\n \n Raises:\n ValueError: 未找到要删除的目标\n \n Note:\n - 阶段 1：软删除（立即），用户立即看不到数据\n - 阶段 2：硬删除（后台），真正删除数据和关联\n \"\"\"\n \n # 0. 先获取目标名称（用于返回给前端）\n target_names = [name for _, name in self.repo.get_names_by_ids(target_ids)]\n \n # 1. 软删除（如果 ID 不存在，update 返回 0）\n soft_count = self.soft_delete_targets(target_ids)\n \n # 2. 检查是否有记录被删除\n if soft_count == 0:\n raise ValueError(\"未找到要删除的目标\")\n \n logger.info(f\"✓ 软删除完成: {soft_count} 个目标\")\n \n # 3. 使用 task_distributor 分发硬删除任务到 Worker\n try:\n from apps.engine.services.task_distributor import get_task_distributor\n \n distributor = get_task_distributor()\n success, message, container_id = distributor.execute_delete_task(\n task_type='targets',\n ids=target_ids\n )\n \n if success:\n logger.info(f\"✓ 硬删除任务已分发 - Container: {container_id}\")\n else:\n logger.warning(f\"硬删除任务分发失败: {message}\")\n \n except Exception as e:\n logger.error(f\"❌ 分发删除任务失败: {e}\", exc_info=True)\n logger.warning(\"硬删除可能未成功提交，请检查 Worker 状态\")\n \n return {\n 'soft_deleted_count': soft_count,\n 'target_names': target_names,\n 'hard_delete_scheduled': True\n }\n \n def soft_delete_targets(self, target_ids: List[int]) -> int:\n \"\"\"\n 软删除目标\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n 软删除的记录数\n \n Note:\n - 返回值是实际更新的记录数，不是传入的 ID 数量\n - 如果某些 ID 不存在，返回值会小于传入的 ID 数量\n \"\"\"\n logger.info(\"软删除 %d 个目标\", len(target_ids))\n \n try:\n deleted_count = self.repo.soft_delete_by_ids(target_ids)\n logger.info(\"✓ 软删除成功 - 数量: %d\", deleted_count)\n return deleted_count\n except Exception as e:\n logger.error(\"软删除失败: %s\", e)\n raise\n \n def hard_delete_targets(self, target_ids: List[int]) -> Tuple[int, Dict[str, int]]:\n \"\"\"\n 硬删除目标（真正删除数据）- 使用数据库级 CASCADE\n \n Args:\n target_ids: 目标 ID 列表\n \n Returns:\n (删除的记录数, 删除详情字典)\n \n Strategy:\n 使用数据库级 CASCADE 删除，性能最优\n \n Note:\n - 硬删除：从数据库中永久删除\n - 数据库自动级联删除所有关联数据\n - 不触发 Django 信号（pre_delete/post_delete）\n \"\"\"\n logger.debug(\"准备硬删除目标（CASCADE）- Count: %s, IDs: %s\", len(target_ids), target_ids)\n \n deleted_count, details = self.repo.hard_delete_by_ids(target_ids)\n \n logger.info(\n \"硬删除目标成功（CASCADE）- Count: %s, 删除记录数: %s\",\n len(target_ids),\n deleted_count\n )\n \n return deleted_count, details\n" }, { "path": "backend/apps/targets/urls.py", "content": "from django.urls import path, include\nfrom rest_framework.routers import DefaultRouter\nfrom .views import OrganizationViewSet, TargetViewSet\nfrom apps.asset.views import (\n SubdomainViewSet, WebSiteViewSet, DirectoryViewSet,\n EndpointViewSet, HostPortMappingViewSet, VulnerabilityViewSet,\n ScreenshotViewSet\n)\n\n# 创建路由器\nrouter = DefaultRouter()\n\n# 注册 ViewSet\nrouter.register(r'organizations', OrganizationViewSet, basename='organization')\nrouter.register(r'targets', TargetViewSet, basename='target')\n\n# Target 下的嵌套资产路由\ntarget_subdomains_list = SubdomainViewSet.as_view({'get': 'list'})\ntarget_subdomains_export = SubdomainViewSet.as_view({'get': 'export'})\ntarget_subdomains_bulk_create = SubdomainViewSet.as_view({'post': 'bulk_create'})\ntarget_websites_list = WebSiteViewSet.as_view({'get': 'list'})\ntarget_websites_export = WebSiteViewSet.as_view({'get': 'export'})\ntarget_websites_bulk_create = WebSiteViewSet.as_view({'post': 'bulk_create'})\ntarget_directories_list = DirectoryViewSet.as_view({'get': 'list'})\ntarget_directories_export = DirectoryViewSet.as_view({'get': 'export'})\ntarget_directories_bulk_create = DirectoryViewSet.as_view({'post': 'bulk_create'})\ntarget_endpoints_list = EndpointViewSet.as_view({'get': 'list'})\ntarget_endpoints_export = EndpointViewSet.as_view({'get': 'export'})\ntarget_endpoints_bulk_create = EndpointViewSet.as_view({'post': 'bulk_create'})\ntarget_ip_addresses_list = HostPortMappingViewSet.as_view({'get': 'list'})\ntarget_ip_addresses_export = HostPortMappingViewSet.as_view({'get': 'export'})\ntarget_vulnerabilities_list = VulnerabilityViewSet.as_view({'get': 'list'})\ntarget_screenshots_list = ScreenshotViewSet.as_view({'get': 'list'})\ntarget_screenshots_bulk_delete = ScreenshotViewSet.as_view({'post': 'bulk_delete'})\n\nurlpatterns = [\n path('', include(router.urls)),\n # 嵌套路由：/api/targets/{target_pk}/xxx/\n path('targets/<int:target_pk>/subdomains/', target_subdomains_list, name='target-subdomains-list'),\n path('targets/<int:target_pk>/subdomains/export/', target_subdomains_export, name='target-subdomains-export'),\n path('targets/<int:target_pk>/subdomains/bulk-create/', target_subdomains_bulk_create, name='target-subdomains-bulk-create'),\n path('targets/<int:target_pk>/websites/', target_websites_list, name='target-websites-list'),\n path('targets/<int:target_pk>/websites/export/', target_websites_export, name='target-websites-export'),\n path('targets/<int:target_pk>/websites/bulk-create/', target_websites_bulk_create, name='target-websites-bulk-create'),\n path('targets/<int:target_pk>/directories/', target_directories_list, name='target-directories-list'),\n path('targets/<int:target_pk>/directories/export/', target_directories_export, name='target-directories-export'),\n path('targets/<int:target_pk>/directories/bulk-create/', target_directories_bulk_create, name='target-directories-bulk-create'),\n path('targets/<int:target_pk>/endpoints/', target_endpoints_list, name='target-endpoints-list'),\n path('targets/<int:target_pk>/endpoints/export/', target_endpoints_export, name='target-endpoints-export'),\n path('targets/<int:target_pk>/endpoints/bulk-create/', target_endpoints_bulk_create, name='target-endpoints-bulk-create'),\n path('targets/<int:target_pk>/ip-addresses/', target_ip_addresses_list, name='target-ip-addresses-list'),\n path('targets/<int:target_pk>/ip-addresses/export/', target_ip_addresses_export, name='target-ip-addresses-export'),\n path('targets/<int:target_pk>/vulnerabilities/', target_vulnerabilities_list, name='target-vulnerabilities-list'),\n path('targets/<int:target_pk>/screenshots/', target_screenshots_list, name='target-screenshots-list'),\n path('targets/<int:target_pk>/screenshots/bulk-delete/', target_screenshots_bulk_delete, name='target-screenshots-bulk-delete'),\n]\n" }, { "path": "backend/apps/targets/views.py", "content": "import logging\nfrom rest_framework import viewsets, status, filters\nfrom rest_framework.decorators import action\nfrom rest_framework.response import Response\nfrom rest_framework.exceptions import ValidationError, NotFound, APIException\nfrom django.db import transaction\nfrom django.db.models import Count\nfrom .models import Organization, Target\nfrom .serializers import OrganizationSerializer, TargetSerializer, TargetDetailSerializer, BatchCreateTargetSerializer\nfrom .services.target_service import TargetService\nfrom .services.organization_service import OrganizationService\nfrom apps.common.pagination import BasePagination\nfrom apps.common.response_helpers import success_response\nfrom apps.common.models import BlacklistRule\nfrom apps.common.serializers import TargetBlacklistRuleSerializer\n\nlogger = logging.getLogger(__name__)\n\n\nclass OrganizationViewSet(viewsets.ModelViewSet):\n \"\"\"组织管理 - 增删改查\"\"\"\n serializer_class = OrganizationSerializer\n pagination_class = BasePagination\n filter_backends = [filters.SearchFilter, filters.OrderingFilter]\n search_fields = ['name']\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.org_service = OrganizationService()\n \n def get_queryset(self):\n \"\"\"优化查询,预计算目标数量，避免 N+1 查询\"\"\"\n return self.org_service.get_all_with_stats()\n \n @action(detail=True, methods=['get'])\n def targets(self, request, pk=None):\n \"\"\"\n 获取组织的目标列表\n GET /api/organizations/{id}/targets/?page=1&pageSize=10\n \"\"\"\n organization = self.get_object()\n \n # 获取组织的目标（优化：使用 prefetch_related 预加载 organizations，避免 N+1 查询）\n queryset = organization.targets.prefetch_related('organizations').all()\n \n # 使用分页器\n paginator = self.paginator\n page = paginator.paginate_queryset(queryset, request, view=self)\n \n if page is not None:\n serializer = TargetSerializer(page, many=True)\n return paginator.get_paginated_response(serializer.data)\n \n # 如果没有分页参数，抛出异常\n raise ValidationError('必须提供分页参数 page 和 pageSize')\n \n @action(detail=True, methods=['post'])\n def unlink_targets(self, request, pk=None):\n \"\"\"\n 解除组织与目标的关联\n POST /api/organizations/{id}/unlink_targets/\n \n 请求格式：\n {\n \"target_ids\": [1, 2, 3]\n }\n \n 返回：\n {\n \"unlinked_count\": 3,\n \"message\": \"成功解除 3 个目标的关联\"\n }\n \n 注意：此操作只解除关联关系，不会删除目标本身\n \"\"\"\n organization = self.get_object()\n target_ids = request.data.get('target_ids', [])\n \n if not target_ids:\n raise ValidationError('目标ID列表不能为空')\n \n if not isinstance(target_ids, list):\n raise ValidationError('target_ids 必须是数组')\n \n # 使用事务保护\n with transaction.atomic():\n # 验证目标是否存在且属于该组织（只查询 ID，避免加载完整对象）\n existing_target_ids = list(\n organization.targets.filter(id__in=target_ids).values_list('id', flat=True)\n )\n existing_count = len(existing_target_ids)\n \n if existing_count == 0:\n raise ValidationError('未找到要解除关联的目标')\n \n # 批量解除关联（直接使用 ID，避免查询对象）\n organization.targets.remove(*existing_target_ids)\n \n return success_response(data={\n 'unlinkedCount': existing_count\n })\n \n def destroy(self, request, *args, **kwargs):\n \"\"\"\n 删除单个组织（复用批量删除逻辑）\n \n DELETE /api/organizations/{id}/\n \n 功能:\n - 复用 bulk_delete 的两阶段删除逻辑\n - 立即返回 200 OK，软删除完成，硬删除在后台执行\n \n 返回:\n - 200 OK: 软删除完成，硬删除已在后台启动\n - 404 Not Found: 组织不存在\n \n 注意:\n - 两阶段删除：软删除（立即）+ 硬删除（后台任务）\n - 硬删除会清理 organization_targets 中间表\n - 不会删除关联的 Target（多对多关系）\n \"\"\"\n try:\n organization = self.get_object()\n \n # 直接调用 Service 层的业务方法（软删除 + 分发硬删除任务）\n result = self.org_service.delete_organizations_two_phase([organization.id])\n \n return success_response(data={\n 'organizationId': organization.id,\n 'organizationName': organization.name,\n 'deletedCount': result['soft_deleted_count'],\n 'deletedOrganizations': result['organization_names']\n })\n \n except Organization.DoesNotExist:\n raise NotFound('组织不存在')\n except ValueError as e:\n raise NotFound(str(e))\n except Exception as e:\n logger.exception(\"删除组织时发生错误\")\n raise APIException('服务器错误，请稍后重试')\n \n @action(detail=False, methods=['post', 'delete'], url_path='bulk-delete')\n def bulk_delete(self, request):\n \"\"\"\n 批量删除组织（两阶段删除）\n \n POST/DELETE /api/organizations/bulk-delete/\n \n 请求格式:\n {\n \"ids\": [1, 2, 3]\n }\n \n 功能:\n - 阶段 1：立即软删除（用户立即看不到数据）\n - 阶段 2：后台硬删除（真正删除数据和中间表）\n \n 返回:\n - 200 OK: 删除成功\n - 400 Bad Request: 参数错误\n - 404 Not Found: 未找到要删除的组织\n \n 注意:\n - 软删除：用户立即看不到\n - 硬删除：清理数据库和 organization_targets 中间表\n - 不会删除关联的 Target（多对多关系）\n - 硬删除任务通过 task_distributor 分发到动态容器执行\n \"\"\"\n ids = request.data.get('ids', [])\n \n # 参数验证\n if not ids:\n raise ValidationError('缺少必填参数: ids')\n if not isinstance(ids, list):\n raise ValidationError('ids 必须是数组')\n if not all(isinstance(i, int) for i in ids):\n raise ValidationError('ids 数组中的所有元素必须是整数')\n \n try:\n # 调用 Service 层的业务方法（软删除 + 分发硬删除任务）\n result = self.org_service.delete_organizations_two_phase(ids)\n \n return success_response(data={\n 'deletedCount': result['soft_deleted_count'],\n 'deletedOrganizations': result['organization_names']\n })\n \n except ValueError as e:\n raise NotFound(str(e))\n except Exception as e:\n logger.exception(\"删除组织时发生错误\")\n raise APIException('服务器错误，请稍后重试')\n\n\nclass TargetViewSet(viewsets.ModelViewSet):\n \"\"\"\n 目标管理 - 增删改查\n \n 性能优化说明:\n 1. 使用 prefetch_related('organizations') 预加载关联的组织\n 2. 配合 TargetSerializer 中的嵌套序列化器 SimpleOrganizationSerializer\n 3. 避免 N+1 查询问题：\n - 优化前：100 个目标 = 1 + 100 = 101 次查询\n - 优化后：100 个目标 = 1 + 1 = 2 次查询\n \n ⚠️ 重要：如果在其他地方使用 TargetSerializer，必须确保查询时使用了\n prefetch_related('organizations')，否则仍会产生 N+1 查询\n \"\"\"\n serializer_class = TargetSerializer\n pagination_class = BasePagination\n filter_backends = [filters.SearchFilter, filters.OrderingFilter]\n search_fields = ['name']\n ordering = ['-created_at']\n \n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.target_service = TargetService()\n \n def get_queryset(self):\n \"\"\"获取目标查询集\n \n 注意：不在这里使用 .annotate() 预聚合统计数据\n \n 原因：\n - 列表页（list action）：需要分页 + 高性能统计\n - 详情页（retrieve action）：只需要一条记录的统计\n \n 统计策略：\n - 列表页：在 serializer 中用 .count() 单次查询（高性能）\n - 详情页：同样用 .count() 单次查询\n \n ⚠️ 为什么不用 .annotate():\n - 原因：多个 Count(distinct=True) 在大数据量时很慢（特别是目录数据）\n \"\"\"\n # 列表和详情都使用相同的查询集（详情页的统计交给 serializer 用 .count()）\n return self.target_service.get_all()\n \n def get_serializer_class(self):\n \"\"\"根据不同的 action 返回不同的序列化器\n \n - retrieve action: 使用 TargetDetailSerializer（包含 summary 统计数据）\n - 其他 action: 使用标准的 TargetSerializer\n \"\"\"\n if self.action == 'retrieve':\n return TargetDetailSerializer\n return TargetSerializer\n \n def destroy(self, request, *args, **kwargs):\n \"\"\"\n 删除单个目标（复用批量删除逻辑）\n \n DELETE /api/targets/{id}/\n \n 功能:\n - 复用 bulk_delete 的两阶段删除逻辑\n - 立即返回 200 OK，软删除完成，硬删除在后台执行\n \n 返回:\n - 200 OK: 软删除完成，硬删除已在后台启动\n - 404 Not Found: 目标不存在\n \n 注意:\n - 两阶段删除：软删除（立即）+ 硬删除（后台任务）\n - 硬删除会使用分批删除策略处理大数据量\n \"\"\"\n try:\n target = self.get_object()\n \n # 直接调用 Service 层的业务方法（软删除 + 分发硬删除任务）\n result = self.target_service.delete_targets_two_phase([target.id])\n \n return success_response(data={\n 'targetId': target.id,\n 'targetName': target.name,\n 'deletedCount': result['soft_deleted_count']\n })\n \n except Target.DoesNotExist:\n raise NotFound('目标不存在')\n except ValueError as e:\n raise NotFound(str(e))\n except Exception as e:\n logger.exception(\"删除目标时发生错误\")\n raise APIException('服务器错误，请稍后重试')\n \n @action(detail=False, methods=['post', 'delete'], url_path='bulk-delete')\n def bulk_delete(self, request):\n \"\"\"\n 批量删除目标（两阶段删除策略）\n \n POST/DELETE /api/targets/bulk-delete/\n \n 请求格式:\n {\n \"ids\": [1, 2, 3]\n }\n \n 两阶段删除策略：\n 1. 阶段 1（立即）：软删除目标，用户立即看不到数据\n 2. 阶段 2（后台）：硬删除任务，真正清理数据\n \n 功能:\n - 立即软删除：用户立即看不到数据（响应快）\n - 后台硬删除：使用分批删除策略处理大数据量\n \n 返回:\n - 200 OK: 删除成功\n - 400 Bad Request: 参数错误\n - 404 Not Found: 未找到目标\n \n 注意:\n - 软删除：数据可恢复（deleted_at 不为 NULL）\n - 硬删除：数据不可恢复（真正从数据库删除）\n - 硬删除任务通过 task_distributor 分发到动态容器执行\n \"\"\"\n ids = request.data.get('ids', [])\n \n # 参数验证\n if not ids:\n raise ValidationError('缺少必填参数: ids')\n if not isinstance(ids, list):\n raise ValidationError('ids 必须是数组')\n if not all(isinstance(i, int) for i in ids):\n raise ValidationError('ids 数组中的所有元素必须是整数')\n \n try:\n # 调用 Service 层的业务方法（软删除 + 分发硬删除任务）\n result = self.target_service.delete_targets_two_phase(ids)\n \n return success_response(data={\n 'deletedCount': result['soft_deleted_count'],\n 'deletedTargets': result['target_names']\n })\n \n except ValueError as e:\n raise NotFound(str(e))\n except Exception as e:\n logger.exception(\"删除目标时发生错误\")\n raise APIException('服务器错误，请稍后重试')\n \n @action(detail=False, methods=['post'])\n def batch_create(self, request):\n \"\"\"\n 批量创建目标\n POST /api/targets/batch_create/\n \n 请求格式：\n {\n \"targets\": [\n {\"name\": \"example.com\"},\n {\"name\": \"192.168.1.1\"},\n {\"name\": \"192.168.1.0/24\"}\n ],\n \"organization_id\": 1 // 可选，关联到指定组织\n }\n \n 限制：\n - 最多支持 1000 个目标的批量创建\n - type 会根据 name 自动检测（域名/IP/CIDR）\n \n 返回：\n {\n \"created_count\": 2,\n \"failed_count\": 0,\n \"failed_targets\": [\n {\"name\": \"xxx\", \"reason\": \"无法识别的目标格式\"}\n ],\n \"message\": \"成功创建 2 个目标\"\n }\n \"\"\"\n # 1. 参数验证\n serializer = BatchCreateTargetSerializer(data=request.data)\n serializer.is_valid(raise_exception=True)\n \n targets_data = serializer.validated_data['targets']\n organization_id = serializer.validated_data.get('organization_id')\n \n # 2. 调用 Service 层处理业务逻辑\n try:\n result = self.target_service.batch_create_targets(\n targets_data=targets_data,\n organization_id=organization_id\n )\n except ValueError as e:\n raise ValidationError(str(e))\n \n # 3. 返回响应\n return success_response(data=result, status_code=status.HTTP_201_CREATED)\n \n # subdomains action 已迁移到 SubdomainViewSet 嵌套路由\n # GET /api/targets/{id}/subdomains/ -> SubdomainViewSet\n\n # vulnerabilities action 已迁移到 VulnerabilityViewSet 嵌套路由\n # GET /api/targets/{id}/vulnerabilities/ -> VulnerabilityViewSet\n\n # 所有资产相关的 action 和 export 已迁移到 asset/views.py 中的各 ViewSet\n # GET /api/targets/{id}/subdomains/ -> SubdomainViewSet\n # GET /api/targets/{id}/subdomains/export/ -> SubdomainViewSet.export\n # GET /api/targets/{id}/websites/ -> WebSiteViewSet\n # GET /api/targets/{id}/websites/export/ -> WebSiteViewSet.export\n # GET /api/targets/{id}/endpoints/ -> EndpointViewSet\n # GET /api/targets/{id}/endpoints/export/ -> EndpointViewSet.export\n # GET /api/targets/{id}/directories/ -> DirectoryViewSet\n # GET /api/targets/{id}/directories/export/ -> DirectoryViewSet.export\n # GET /api/targets/{id}/ip-addresses/ -> HostPortMappingViewSet\n # GET /api/targets/{id}/ip-addresses/export/ -> HostPortMappingViewSet.export\n # GET /api/targets/{id}/vulnerabilities/ -> VulnerabilityViewSet\n\n # ==================== 黑名单管理 ====================\n \n @action(detail=True, methods=['get', 'put'], url_path='blacklist')\n def blacklist(self, request, pk=None):\n \"\"\"\n Target 黑名单规则管理\n \n GET /api/targets/{id}/blacklist/ - 获取 Target 黑名单列表\n PUT /api/targets/{id}/blacklist/ - 全量替换规则（文本框保存场景）\n \n 设计说明：\n - 使用 PUT 全量替换模式，适合\"文本框每行一个规则\"的前端场景\n - 用户编辑文本框 -> 点击保存 -> 后端全量替换\n \n 架构：MVS 模式\n - View: 参数验证、响应格式化\n - Service: 业务逻辑（BlacklistService）\n - Model: 数据持久化（BlacklistRule）\n \"\"\"\n from apps.common.services import BlacklistService\n \n target = self.get_object()\n blacklist_service = BlacklistService()\n \n if request.method == 'GET':\n # 获取 Target 的黑名单规则\n rules = blacklist_service.get_target_rules(target.id)\n patterns = list(rules.values_list('pattern', flat=True))\n return success_response(data={'patterns': patterns})\n \n elif request.method == 'PUT':\n # 全量替换\n patterns = request.data.get('patterns', [])\n \n if not isinstance(patterns, list):\n return Response(\n {'error': {'code': 'VALIDATION_ERROR', 'message': 'patterns 必须是数组'}},\n status=status.HTTP_400_BAD_REQUEST\n )\n \n # 调用 Service 层全量替换\n result = blacklist_service.replace_target_rules(target, patterns)\n \n return success_response(data=result)\n" }, { "path": "backend/config/__init__.py", "content": "\"\"\"\n配置包初始化\n\n确保 Prefect 配置在 Django 启动时被加载\n\"\"\"\n\n# 延迟导入，避免在 ASGI 启动时出现循环依赖\n# configure_prefect() 会在 Django 应用就绪时自动调用\n\n__all__ = ('configure_prefect',)\n\n" }, { "path": "backend/config/asgi.py", "content": "\"\"\"\nASGI config for config project.\n\nIt exposes the ASGI callable as a module-level variable named ``application``.\n\nFor more information on this file, see\nhttps://docs.djangoproject.com/en/5.2/howto/deployment/asgi/\n\"\"\"\n\nimport os\n\nfrom django.core.asgi import get_asgi_application\nfrom channels.routing import ProtocolTypeRouter, URLRouter\nfrom channels.auth import AuthMiddlewareStack\n\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\n\n# 初始化 Django ASGI 应用（必须在导入路由之前）\ndjango_asgi_app = get_asgi_application()\n\n# 导入 WebSocket 路由\nfrom apps.scan.notifications.routing import websocket_urlpatterns as notification_ws\nfrom apps.engine.routing import websocket_urlpatterns as worker_ws\n\napplication = ProtocolTypeRouter({\n 'http': django_asgi_app,\n 'websocket': AuthMiddlewareStack(\n URLRouter(notification_ws + worker_ws)\n ),\n})\n" }, { "path": "backend/config/logging_config.py", "content": "\"\"\"\n日志配置模块（改进版 v2）\n\n根据环境（开发/生产）和环境变量配置 Django 日志系统\n\n改进内容：\n1. ✅ 结构化日志 - JSON 格式便于日志分析和监控\n2. ✅ 性能指标日志 - 专门记录性能相关信息\n3. ⚠️ 异步日志处理 - 需要额外配置（见下方说明）\n\n环境变量：\n- LOG_LEVEL: 全局日志级别 (DEBUG/INFO/WARNING/ERROR/CRITICAL)\n- LOG_DIR: 日志文件目录（留空则不输出文件）\n\n开发环境特性：\n- 默认 DEBUG 级别\n- 控制台彩色输出\n- 可选文件输出\n\n生产环境特性：\n- 默认 INFO 级别\n- 控制台 + 文件输出（配置 LOG_DIR）\n- 文件自动轮转（10MB，保留5个备份）\n- JSON 结构化日志\n- 性能指标日志\n\n依赖安装：\n- pip install python-json-logger # JSON 格式化器\n\n异步日志说明：\n- 当前使用标准 RotatingFileHandler（同步写入）\n- 如需异步处理，可使用 logging_config_new.py 中的 QueueHandler 方案\n- 异步方案需要额外的 QueueListener 配置和生命周期管理\n\n设计说明：\n- 直接从环境变量读取配置，避免与 settings.py 循环依赖\n- settings.py 在加载时会调用此模块，此时 settings 对象尚未完全初始化\n- 这是 Django 配置模块的常见模式\n\"\"\"\n\nimport os\nfrom pathlib import Path\n\n\ndef get_logging_config(debug: bool = False):\n \"\"\"\n 获取日志配置字典\n \n Args:\n debug: 是否为 DEBUG 模式\n \n Returns:\n dict: Django LOGGING 配置字典\n \"\"\"\n # 获取日志配置\n log_level = os.getenv('LOG_LEVEL', 'DEBUG' if debug else 'INFO')\n log_dir = os.getenv('LOG_DIR', '')\n \n # 构建 handlers 配置\n log_handlers = ['console']\n logging_handlers = {\n 'console': {\n 'class': 'logging.StreamHandler',\n 'formatter': 'colored' if debug else 'standard',\n 'stream': 'ext://sys.stdout',\n }\n }\n \n # 如果配置了日志目录，添加文件 handler\n if log_dir:\n log_path = Path(log_dir)\n log_path.mkdir(parents=True, exist_ok=True)\n \n # 标准文件日志\n log_handlers.append('file')\n logging_handlers['file'] = {\n 'class': 'logging.handlers.RotatingFileHandler',\n 'formatter': 'standard',\n 'filename': str(log_path / 'xingrin.log'),\n 'maxBytes': 100 * 1024 * 1024, # 100MB\n 'backupCount': 5,\n 'encoding': 'utf-8',\n }\n \n # 错误日志单独记录\n log_handlers.append('error_file')\n logging_handlers['error_file'] = {\n 'class': 'logging.handlers.RotatingFileHandler',\n 'formatter': 'standard',\n 'filename': str(log_path / 'xingrin_error.log'),\n 'maxBytes': 100 * 1024 * 1024, # 100MB\n 'backupCount': 5,\n 'encoding': 'utf-8',\n 'level': 'ERROR', # 只记录 ERROR 及以上级别\n }\n \n # JSON 结构化日志（暂时关闭，需要时再开启）\n # log_handlers.append('json_file')\n # logging_handlers['json_file'] = {\n # 'class': 'logging.handlers.RotatingFileHandler',\n # 'formatter': 'json',\n # 'filename': str(log_path / 'xingrin_json.log'),\n # 'maxBytes': 100 * 1024 * 1024, # 100MB\n # 'backupCount': 5,\n # 'encoding': 'utf-8',\n # }\n \n # 性能指标日志（可读格式，便于人工查看）\n logging_handlers['performance_file'] = {\n 'class': 'logging.handlers.RotatingFileHandler',\n 'formatter': 'standard', # 使用可读格式，不用 JSON\n 'filename': str(log_path / 'performance.log'),\n 'maxBytes': 100 * 1024 * 1024, # 100MB\n 'backupCount': 5,\n 'encoding': 'utf-8',\n }\n \n # 构建完整的 LOGGING 配置\n logging_config = {\n 'version': 1,\n 'disable_existing_loggers': False,\n \n # 格式化器\n 'formatters': {\n 'standard': {\n 'format': '[%(asctime)s] [%(levelname)s] [%(name)s:%(lineno)d] %(message)s',\n 'datefmt': '%Y-%m-%d %H:%M:%S',\n },\n 'colored': {\n 'format': '%(log_color)s[%(asctime)s] [%(levelname)s] [%(name)s:%(lineno)d]%(reset)s %(message)s',\n 'datefmt': '%Y-%m-%d %H:%M:%S',\n '()': 'colorlog.ColoredFormatter',\n 'log_colors': {\n 'DEBUG': 'cyan',\n 'INFO': 'green',\n 'WARNING': 'yellow',\n 'ERROR': 'red',\n 'CRITICAL': 'red,bg_white',\n },\n },\n # JSON 格式化器（结构化日志）\n 'json': {\n '()': 'pythonjsonlogger.jsonlogger.JsonFormatter',\n 'format': '%(asctime)s %(name)s %(levelname)s %(message)s %(pathname)s %(lineno)d',\n 'datefmt': '%Y-%m-%d %H:%M:%S',\n },\n },\n \n # 处理器\n 'handlers': logging_handlers,\n \n # 日志记录器\n 'loggers': {\n # Django 核心日志\n 'django': {\n 'handlers': log_handlers,\n 'level': 'INFO', # Django 框架日志，通常不需要 DEBUG\n 'propagate': False,\n },\n 'django.request': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 请求错误日志\n 'propagate': False,\n },\n 'django.server': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # Django 开发服务器日志\n 'propagate': False,\n },\n 'django.db.backends': {\n 'handlers': log_handlers,\n 'level': 'WARNING' if not debug else 'DEBUG', # SQL 查询日志（开发环境可启用）\n 'propagate': False,\n },\n \n\n \n # 应用日志 - 扫描模块\n 'apps.scan': {\n 'handlers': log_handlers,\n 'level': log_level,\n 'propagate': False,\n },\n \n # 应用日志 - 其他模块（统一级别）\n 'apps.asset': {\n 'handlers': log_handlers,\n 'level': log_level,\n 'propagate': False,\n },\n 'apps.targets': {\n 'handlers': log_handlers,\n 'level': log_level,\n 'propagate': False,\n },\n 'apps.engine': {\n 'handlers': log_handlers,\n 'level': log_level,\n 'propagate': False,\n },\n 'apps.common': {\n 'handlers': log_handlers,\n 'level': log_level,\n 'propagate': False,\n },\n \n # 第三方库日志控制\n 'websockets': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 WebSocket 的 DEBUG/INFO 日志\n 'propagate': False,\n },\n 'websockets.client': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 WebSocket 客户端的调试日志\n 'propagate': False,\n },\n 'httpx': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 HTTP 客户端的详细日志\n 'propagate': False,\n },\n 'httpcore': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 HTTP 核心库的调试日志\n 'propagate': False,\n },\n 'httpcore.connection': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 HTTP 连接的调试日志\n 'propagate': False,\n },\n 'httpcore.http11': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 HTTP/1.1 协议的调试日志\n 'propagate': False,\n },\n 'prefect': {\n 'handlers': log_handlers,\n 'level': 'INFO', # Prefect 框架日志保持 INFO 级别\n 'propagate': False,\n },\n 'apscheduler': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭定时任务的 INFO 日志（每分钟执行）\n 'propagate': False,\n },\n 'apscheduler.scheduler': {\n 'handlers': log_handlers,\n 'level': 'WARNING',\n 'propagate': False,\n },\n 'apscheduler.executors': {\n 'handlers': log_handlers,\n 'level': 'WARNING',\n 'propagate': False,\n },\n 'graphviz': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 graphviz 的 DEBUG 日志\n 'propagate': False,\n },\n 'graphviz._tools': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 graphviz._tools 的 DEBUG 日志\n 'propagate': False,\n },\n \n # Django 框架日志控制\n 'django.db.backends': {\n 'handlers': log_handlers,\n 'level': 'INFO', # 关闭数据库查询的 DEBUG 日志\n 'propagate': False,\n },\n 'django.db.backends.schema': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭数据库模式的 DEBUG 日志\n 'propagate': False,\n },\n 'django.utils.autoreload': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭自动重载的 DEBUG 日志\n 'propagate': False,\n },\n 'django.request': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 只记录 WARNING 以上的请求日志（错误请求）\n 'propagate': False,\n },\n 'django.server': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭服务器的 INFO 日志（如访问日志）\n 'propagate': False,\n },\n \n # 其他第三方库日志控制\n 'asyncio': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 asyncio 的 DEBUG 日志\n 'propagate': False,\n },\n 'urllib3': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭 urllib3 的详细日志\n 'propagate': False,\n },\n 'urllib3.connectionpool': {\n 'handlers': log_handlers,\n 'level': 'WARNING', # 关闭连接池的详细日志\n 'propagate': False,\n },\n \n # 性能指标日志（专门记录性能相关信息）\n 'performance': {\n 'handlers': ['performance_file'] if log_dir else ['console'],\n 'level': 'INFO',\n 'propagate': False,\n },\n },\n \n # 根日志记录器（兜底配置）\n 'root': {\n 'level': log_level,\n 'handlers': log_handlers,\n },\n }\n \n return logging_config\n" }, { "path": "backend/config/settings.py", "content": "\"\"\"\nDjango settings for config project.\n\nGenerated by 'django-admin startproject' using Django 5.2.7.\n\nFor more information on this file, see\nhttps://docs.djangoproject.com/en/5.2/topics/settings/\n\nFor the full list of settings and their values, see\nhttps://docs.djangoproject.com/en/5.2/ref/settings/\n\"\"\"\n\nfrom pathlib import Path\nimport os\nfrom dotenv import load_dotenv\n\n# 加载环境变量\nload_dotenv()\n\n\ndef get_bool_env(key: str, default: bool = False) -> bool:\n \"\"\"获取布尔值环境变量，兼容多种写法（true/True/TRUE/1/yes）\"\"\"\n value = os.getenv(key, str(default)).lower()\n return value in ('true', '1', 'yes', 'on')\n\n# Build paths inside the project like this: BASE_DIR / 'subdir'.\nBASE_DIR = Path(__file__).resolve().parent.parent\n\n\n# Quick-start development settings - unsuitable for production\n# See https://docs.djangoproject.com/en/5.2/howto/deployment/checklist/\n\n# SECURITY WARNING: keep the secret key used in production secret!\nSECRET_KEY = os.getenv('SECRET_KEY', 'django-insecure-default-key')\n\n# SECURITY WARNING: don't run with debug turned on in production!\n# 安全优先：默认为 False，开发环境需显式设置 DEBUG=True\nDEBUG = get_bool_env('DEBUG', False)\n\nALLOWED_HOSTS = ['*']\n\n\n# Application definition\n\nINSTALLED_APPS = [\n 'django.contrib.admin',\n 'django.contrib.auth',\n 'django.contrib.contenttypes',\n 'django.contrib.sessions',\n 'django.contrib.messages',\n 'django.contrib.staticfiles',\n # 第三方应用\n 'rest_framework',\n 'django_filters', # DRF 过滤器支持\n 'drf_yasg',\n 'corsheaders',\n 'channels', # WebSocket 支持\n # 业务应用\n 'apps.common', # 通用工具\n 'apps.targets', # 扫描目标管理\n 'apps.scan', # 扫描任务管理\n 'apps.engine', # 扫描引擎管理\n 'apps.asset', # 资产管理\n]\n\nMIDDLEWARE = [\n 'django.middleware.security.SecurityMiddleware',\n 'django.contrib.sessions.middleware.SessionMiddleware',\n 'corsheaders.middleware.CorsMiddleware', # CORS 中间件（必须在 CommonMiddleware 之前）\n 'django.middleware.common.CommonMiddleware',\n # 'django.middleware.csrf.CsrfViewMiddleware', # 已禁用 CSRF 校验\n 'django.contrib.auth.middleware.AuthenticationMiddleware',\n 'django.contrib.messages.middleware.MessageMiddleware',\n 'django.middleware.clickjacking.XFrameOptionsMiddleware',\n]\n\nROOT_URLCONF = 'config.urls'\n\nTEMPLATES = [\n {\n 'BACKEND': 'django.template.backends.django.DjangoTemplates',\n 'DIRS': [BASE_DIR / 'templates'], # 添加自定义模板目录\n 'APP_DIRS': True,\n 'OPTIONS': {\n 'context_processors': [\n 'django.template.context_processors.request',\n 'django.contrib.auth.context_processors.auth',\n 'django.contrib.messages.context_processors.messages',\n ],\n },\n },\n]\n\nWSGI_APPLICATION = 'config.wsgi.application'\n\n# ASGI 应用配置（用于 WebSocket）\nASGI_APPLICATION = 'config.asgi.application'\n\n\n# Database - PostgreSQL 配置\n# https://docs.djangoproject.com/en/5.2/ref/settings/#databases\n\nDATABASES = {\n 'default': {\n 'ENGINE': os.getenv('DB_ENGINE', 'django.db.backends.postgresql'),\n 'NAME': os.getenv('DB_NAME', 'xingrin'),\n 'USER': os.getenv('DB_USER', 'postgres'),\n 'PASSWORD': os.getenv('DB_PASSWORD', ''),\n 'HOST': os.getenv('DB_HOST', 'localhost'),\n 'PORT': os.getenv('DB_PORT', '5432'),\n \n # 连接池配置：针对长时间扫描任务优化\n # 说明：\n # - 0: 每次请求后关闭（适合不稳定的远程连接）\n # - 60-120: 推荐值（平衡性能和资源占用）\n # - 300+: 适合长时间任务（减少连接重建开销）\n # - None: 永久连接（仅适合专用连接池，不推荐）\n 'CONN_MAX_AGE': int(os.getenv('DB_CONN_MAX_AGE', '60')), # 降低到 60 秒，更快检测失效连接\n \n # Django 4.1+ 连接健康检查：每次使用前验证连接是否有效\n # 解决 \"server closed the connection unexpectedly\" 问题\n 'CONN_HEALTH_CHECKS': True,\n \n # PostgreSQL 特定选项 - 针对远程数据库优化\n 'OPTIONS': {\n 'connect_timeout': 30, # 连接超时 30 秒（远程数据库需要更长时间）\n 'options': '-c statement_timeout=60000 -c idle_in_transaction_session_timeout=300000', # SQL 语句超时 60 秒，事务空闲超时 5 分钟\n 'keepalives': 1, # 启用 TCP keepalive\n 'keepalives_idle': 30, # TCP keepalive 空闲时间 30 秒（更积极地检测断连）\n 'keepalives_interval': 10, # TCP keepalive 间隔 10 秒\n 'keepalives_count': 5, # TCP keepalive 重试次数\n # 性能优化参数\n 'sslmode': 'disable', # 禁用SSL以减少连接延迟（如果网络安全可控）\n 'application_name': 'xingrin_scanner', # 标识应用名称，便于监控\n }\n }\n}\n\n\n# Password validation\n# https://docs.djangoproject.com/en/5.2/ref/settings/#auth-password-validators\n\nAUTH_PASSWORD_VALIDATORS = [\n {\n 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',\n },\n {\n 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',\n },\n {\n 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',\n },\n {\n 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',\n },\n]\n\n\n# Internationalization\n# https://docs.djangoproject.com/en/5.2/topics/i18n/\n\nLANGUAGE_CODE = os.getenv('LANGUAGE_CODE', 'zh-hans')\n\nTIME_ZONE = os.getenv('TIME_ZONE', 'Asia/Shanghai')\n\nUSE_I18N = True\n\nUSE_TZ = True\n\n\n# Static files (CSS, JavaScript, Images)\n# https://docs.djangoproject.com/en/5.2/howto/static-files/\n\nSTATIC_URL = 'static/'\n\n# Default primary key field type\n# https://docs.djangoproject.com/en/5.2/ref/settings/#default-auto-field\n\nDEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'\n\n# ==================== Worker API Key 配置 ====================\n# Worker 节点认证密钥（从环境变量读取）\nWORKER_API_KEY = os.environ.get('WORKER_API_KEY', '')\n\n# ==================== REST Framework 配置 ====================\nREST_FRAMEWORK = {\n 'DEFAULT_PAGINATION_CLASS': 'apps.common.pagination.BasePagination', # 使用基础分页器\n \n # Session 认证（禁用 CSRF，前后端分离项目通过 CORS 控制跨域）\n 'DEFAULT_AUTHENTICATION_CLASSES': [\n 'apps.common.authentication.CsrfExemptSessionAuthentication',\n ],\n \n # 全局权限配置：默认需要认证，公开端点和 Worker 端点在权限类中单独处理\n 'DEFAULT_PERMISSION_CLASSES': [\n 'apps.common.permissions.IsAuthenticatedOrPublic',\n ],\n \n # 自定义异常处理器：统一 401/403 错误响应格式\n 'EXCEPTION_HANDLER': 'apps.common.exception_handlers.custom_exception_handler',\n \n # JSON 命名格式转换：后端 snake_case ↔ 前端 camelCase\n 'DEFAULT_RENDERER_CLASSES': (\n 'djangorestframework_camel_case.render.CamelCaseJSONRenderer', # 响应数据转换为 camelCase\n 'djangorestframework_camel_case.render.CamelCaseBrowsableAPIRenderer', # 浏览器 API 也使用 camelCase\n ),\n 'DEFAULT_PARSER_CLASSES': (\n 'djangorestframework_camel_case.parser.CamelCaseJSONParser', # 请求数据从 camelCase 转换为 snake_case\n 'djangorestframework_camel_case.parser.CamelCaseFormParser', # 表单数据也支持转换\n 'djangorestframework_camel_case.parser.CamelCaseMultiPartParser', # 文件上传支持转换\n ),\n \n # 转换配置\n 'JSON_UNDERSCOREIZE': {\n 'no_underscore_before_number': True, # 数字前不加下划线 (field1 不会变成 field_1)\n },\n}\n\n# ==================== CORS 配置 ====================\n# 允许所有来源（前后端分离项目，安全性由认证系统保障）\nCORS_ALLOW_ALL_ORIGINS = os.getenv('CORS_ALLOW_ALL_ORIGINS', 'True').lower() == 'true'\nCORS_ALLOW_CREDENTIALS = True\n# 暴露额外的响应头给前端（Content-Disposition 用于文件下载获取文件名）\nCORS_EXPOSE_HEADERS = ['Content-Disposition']\n\n# ==================== CSRF 配置 ====================\nCSRF_TRUSTED_ORIGINS = os.getenv('CSRF_TRUSTED_ORIGINS', 'http://localhost:3000,http://127.0.0.1:3000').split(',')\n\n# ==================== Session 配置 ====================\nSESSION_COOKIE_AGE = 60 * 60 * 24 * 7 # 7 天\nSESSION_COOKIE_HTTPONLY = True\nSESSION_COOKIE_SAMESITE = 'Lax' # 跨站请求时发送 cookie\n\n# ==================== 扫描结果存储和清理配置 ====================\n\n# 扫描结果存储目录（智能路径配置）\n_scan_results_dir_env = os.getenv('SCAN_RESULTS_DIR')\nif _scan_results_dir_env:\n # 使用环境变量指定的路径（支持相对和绝对路径）\n if os.path.isabs(_scan_results_dir_env):\n SCAN_RESULTS_DIR = _scan_results_dir_env # 绝对路径\n else:\n SCAN_RESULTS_DIR = str(BASE_DIR / _scan_results_dir_env) # 相对路径转绝对路径\nelse:\n # 默认使用项目目录下的 results 文件夹\n SCAN_RESULTS_DIR = str(BASE_DIR / 'results')\n\n# 扫描结果保留时间（单位：天）\nSCAN_RESULTS_RETENTION_DAYS = int(os.getenv('SCAN_RETENTION_DAYS', '3'))\n\n\n# ==================== Redis 配置 ====================\n# Redis 配置（用于 WebSocket Channel Layer）\nREDIS_HOST = os.getenv('REDIS_HOST', 'localhost')\nREDIS_PORT = int(os.getenv('REDIS_PORT', 6379))\nREDIS_DB = int(os.getenv('REDIS_DB', 0))\n\n# Channels Layer 配置（WebSocket 后端）\nCHANNEL_LAYERS = {\n 'default': {\n 'BACKEND': 'channels_redis.core.RedisChannelLayer',\n 'CONFIG': {\n 'hosts': [(REDIS_HOST, REDIS_PORT)],\n 'capacity': 1500, # 单个通道最大消息数\n 'expiry': 10, # 消息过期时间（秒）\n },\n },\n}\n\n# ==================== 日志配置 ====================\n# 日志配置说明：\n# 1. 开发环境（DEBUG=True）：\n# - 默认 DEBUG 级别，输出详细调试信息\n# - 控制台彩色输出，便于调试\n# - 可选文件输出（配置 LOG_DIR）\n#\n# 2. 生产环境（DEBUG=False）：\n# - 默认 INFO 级别，只输出关键信息\n# - 同时输出到控制台和文件（配置 LOG_DIR）\n# - 文件自动轮转，避免日志文件过大\n#\n# 3. 环境变量控制：\n# - LOG_LEVEL: 全局日志级别（DEBUG/INFO/WARNING/ERROR/CRITICAL）\n# - LOG_DIR: 日志文件目录（留空则不输出文件）\n#\nfrom config.logging_config import get_logging_config\n\nLOGGING = get_logging_config(debug=DEBUG)\n\n# 命令执行日志开关（供 apps.scan.utils.command_executor 使用）\nENABLE_COMMAND_LOGGING = get_bool_env('ENABLE_COMMAND_LOGGING', True)\n\n# ==================== 数据目录配置（统一使用 /opt/xingrin） ====================\n# 所有数据目录统一挂载到 /opt/xingrin，便于管理和备份\n\n# 扫描工具基础路径（worker 容器内，符合 FHS 标准）\n# 使用 /opt/xingrin-tools/bin 隔离项目专用扫描工具，避免与系统工具或 Python 包冲突\nSCAN_TOOLS_BASE_PATH = os.getenv('SCAN_TOOLS_PATH', '/opt/xingrin-tools/bin')\n\n# 字典文件基础路径\nWORDLISTS_BASE_PATH = os.getenv('WORDLISTS_PATH', '/opt/xingrin/wordlists')\n\n# 指纹库基础路径\nFINGERPRINTS_BASE_PATH = os.getenv('FINGERPRINTS_PATH', '/opt/xingrin/fingerprints')\n\n# Nuclei 模板仓库根目录（存放 git clone 的仓库）\nNUCLEI_TEMPLATES_REPOS_BASE_DIR = os.getenv('NUCLEI_TEMPLATES_REPOS_DIR', '/opt/xingrin/nuclei-repos')\n\n# Nuclei 模板基础路径（custom / public 两类模板目录，已废弃，保留兼容）\nNUCLEI_CUSTOM_TEMPLATES_DIR = os.getenv('NUCLEI_CUSTOM_TEMPLATES_DIR', '/opt/xingrin/nuclei-templates/custom')\nNUCLEI_PUBLIC_TEMPLATES_DIR = os.getenv('NUCLEI_PUBLIC_TEMPLATES_DIR', '/opt/xingrin/nuclei-templates/public')\n\n# Nuclei 官方模板仓库地址\nNUCLEI_TEMPLATES_REPO_URL = os.getenv('NUCLEI_TEMPLATES_REPO_URL', 'https://github.com/projectdiscovery/nuclei-templates.git')\n\n# 对外访问主机与端口（供 Worker 访问 Django 使用）\nPUBLIC_HOST = os.getenv('PUBLIC_HOST', 'localhost').strip()\nPUBLIC_PORT = os.getenv('PUBLIC_PORT', '8083').strip() # 对外 HTTPS 端口\nSERVER_PORT = os.getenv('SERVER_PORT', '8888')\n\n# ============================================\n# 任务分发器配置（负载感知调度）\n# ============================================\n# Docker 镜像版本配置（统一管理，确保所有组件版本一致）\nDOCKER_USER = os.getenv('DOCKER_USER', 'yyhuni')\nIMAGE_TAG = os.getenv('IMAGE_TAG', '')\n\n# 任务执行器镜像配置（task_distributor 用于创建 worker 容器执行扫描任务）\n# \n# 版本一致性说明：\n# - 生产环境：IMAGE_TAG 锁定版本，确保 server 和 worker 版本一致\n# - 开发环境：可通过 TASK_EXECUTOR_IMAGE 环境变量指向本地构建镜像\n# \n# 环境区分逻辑：\n# 1. 主服务器环境：\n# - 有 IMAGE_TAG 环境变量（从 docker/.env 读取，install.sh 写入）\n# - 需要 TASK_EXECUTOR_IMAGE 来创建 worker 容器执行任务\n# - 默认使用 {DOCKER_USER}/xingrin-worker:{IMAGE_TAG}（版本锁定）\n# - 开发时可设置 TASK_EXECUTOR_IMAGE=本地镜像名 覆盖\n# \n# 2. Worker 容器环境：\n# - 无 IMAGE_TAG 环境变量（容器启动时未注入）\n# - 无 .env 文件\n# - 不需要 TASK_EXECUTOR_IMAGE（worker 只执行任务，不会再创建其他容器）\n# - 设为空字符串避免 AttributeError，确保 settings 模块正常加载\n# \n# 开发环境配置示例：\n# 在 docker/.env 中添加：TASK_EXECUTOR_IMAGE=docker-agent:test-v1.0.0\nif IMAGE_TAG:\n # 主服务器场景：构建完整镜像名\n TASK_EXECUTOR_IMAGE = os.getenv('TASK_EXECUTOR_IMAGE', f'{DOCKER_USER}/xingrin-worker:{IMAGE_TAG}')\nelse:\n # Worker 容器场景：空值，防止加载错误\n TASK_EXECUTOR_IMAGE = os.getenv('TASK_EXECUTOR_IMAGE', '')\n\n# 任务提交间隔（秒）- 防止短时间内重复分配到同一节点\n# 应大于心跳间隔（3秒），确保负载数据已更新\nTASK_SUBMIT_INTERVAL = int(os.getenv('TASK_SUBMIT_INTERVAL', '6'))\n\n# 本地 Worker Docker 网络名称（与 docker-compose.yml 中定义的一致）\nDOCKER_NETWORK_NAME = os.getenv('DOCKER_NETWORK_NAME', 'xingrin_network')\n\n# 宿主机挂载源路径（所有节点统一使用固定路径）\n# 部署前需创建：mkdir -p /opt/xingrin\nHOST_RESULTS_DIR = '/opt/xingrin/results'\nHOST_LOGS_DIR = '/opt/xingrin/logs'\nHOST_FINGERPRINTS_DIR = '/opt/xingrin/fingerprints'\nHOST_WORDLISTS_DIR = '/opt/xingrin/wordlists'\n\n# ============================================\n# Worker 配置中心（任务容器从 /api/workers/config/ 获取）\n# ============================================\n# Worker 数据库地址由 worker_views.py 的 config API 动态返回\n# 根据请求来源（本地/远程）返回不同的配置：\n# - 本地 Worker（Docker 网络内）：使用内部服务名 postgres\n# - 远程 Worker（公网访问）：使用 PUBLIC_HOST\n# \n# 注意：Redis 仅在 Server 容器内使用，Worker 不需要直接连接 Redis\n_db_host = DATABASES['default']['HOST']\n_is_internal_db = _db_host in ('postgres', 'localhost', '127.0.0.1')\nWORKER_DB_HOST = os.getenv('WORKER_DB_HOST', _db_host)\n\n# 容器内挂载目标路径（统一使用 /opt/xingrin）\nCONTAINER_RESULTS_MOUNT = '/opt/xingrin/results'\nCONTAINER_LOGS_MOUNT = '/opt/xingrin/logs'\n" }, { "path": "backend/config/urls.py", "content": "\"\"\"\nURL configuration for config project.\n\nThe `urlpatterns` list routes URLs to views. For more information please see:\n https://docs.djangoproject.com/en/5.2/topics/http/urls/\nExamples:\nFunction views\n 1. Add an import: from my_app import views\n 2. Add a URL to urlpatterns: path('', views.home, name='home')\nClass-based views\n 1. Add an import: from other_app.views import Home\n 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')\nIncluding another URLconf\n 1. Import the include() function: from django.urls import include, path\n 2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))\n\"\"\"\nfrom django.contrib import admin\nfrom django.urls import path, include\nfrom drf_yasg.views import get_schema_view\nfrom drf_yasg import openapi\n\nfrom apps.scan.notifications.views import NotificationSettingsView\n\n# API 文档配置\nschema_view = get_schema_view(\n openapi.Info(\n title=\"XingRin API\",\n default_version='v1',\n description=\"Web 应用侦察工具 API 文档\",\n ),\n public=True,\n)\n\nurlpatterns = [\n # Django 后台管理\n path('admin/', admin.site.urls),\n \n # API 文档\n path('api/swagger/', schema_view.with_ui('swagger', cache_timeout=0), name='swagger'),\n path('api/redoc/', schema_view.with_ui('redoc', cache_timeout=0), name='redoc'),\n \n # 业务 API（包含 organizations 和 targets）\n path('api/', include('apps.targets.urls')),\n \n # 扫描 API\n path('api/', include('apps.scan.urls')),\n \n # 引擎 & Worker API\n path('api/', include('apps.engine.urls')),\n \n # 资产 API\n path('api/', include('apps.asset.urls')),\n \n # 通知 API\n path('api/notifications/', include('apps.scan.notifications.urls')),\n \n # 通知设置 API\n path('api/settings/notifications/', NotificationSettingsView.as_view(), name='notification-settings'),\n \n # 认证 API\n path('api/', include('apps.common.urls')),\n]\n" }, { "path": "backend/fingerprints/ARL.yaml", "content": "- name: CISCO-RV016-VPN-Router_header\n rule: header=\"realm=\\\"rv016\"\n- name: Sangfor-Data-Center_header\n rule: 'header=\"location: ./src/acloglogin.php\"'\n- name: 天融信运维监控平台_header\n rule: header=\"天融信运维监控平台\"\n- name: Metaswitch-Networks-MetaView-Web_body\n rule: body=\"content='dcl.metaview.web.client'\" && body=\"src=\\\"dcl.metaview.web.client.nocache.js\\\">\"\n- name: TP-LINK Wireless WR743ND_header\n rule: header=\"TP-LINK Wireless WR743ND\"\n- name: Handle Proxy_icon_hash\n rule: icon_hash=\"926501571\"\n- name: MDaemon Webmail_icon_hash\n rule: icon_hash=\"-766957661\"\n- name: EFM-Networks-ipTIME-T16000_body\n rule: body=\"src=\\\"/images2/login_title.t16000.gif\\\"\"\n- name: Sangfor-Data-Center_body\n rule: body=\"acloglogin.php\"\n- name: Jana-Server_header\n rule: header=\"Jana-Server\"\n- name: Goblin_header\n rule: header=\"Goblinserver:\"\n- name: ADB Broadband S.p.A. (Network)_icon_hash\n rule: icon_hash=\"-587741716\"\n- name: TP-LINK VPR400VPN_header\n rule: header=\"TP-LINK VPR400VPN\"\n- name: Sqreen_header\n rule: header=\"Sqreen\"\n- name: VMware ESXi_header\n rule: header=\"VMware ESXi\"\n- name: LabVIEW_header\n rule: 'header=\"server: labview\" && header=\"LabVIEW\"'\n- name: mingyuanyun-Sales_body\n rule: body=\"value=\\\"明源售楼管理系统v5.0\\\"\" && body=\"<img id=\\\"erp\\\" src=\\\"/_imgs/login/zs_erp.png\"\n- name: AutoiPacket Webserver_header\n rule: header=\"AutoiPacket Webserver\"\n- name: Apache-Dubbo_header\n rule: header=\" basic realm=\\\"dubbo\\\"\"\n- name: 华为_HUAWEI_ASG2050_header\n rule: header=\"HUAWEI ASG2050\"\n- name: orangehrm_header\n rule: header=\"orangehrm\"\n- name: Mattermost_header\n rule: header=\"Mattermost\"\n- name: Lotus-Domino_header\n rule: header=\"Server:Lotus-Domino\"\n- name: 加速乐CDN_header\n rule: header=\"加速乐CDN\"\n- name: Craigs CMS_header\n rule: header=\"Craigs CMS\"\n- name: AXIS-70U_header\n rule: header=\"AXIS-70U\"\n- name: Entrolink_icon_hash\n rule: icon_hash=\"1973665246\"\n- name: truVision NVR (interlogix)_icon_hash\n rule: icon_hash=\"1782271534\"\n- name: phpMoneyBooks_body\n rule: body=\"href='http://phpmoneybooks.com'>phpmoneybooks\"\n- name: Influxdb_header\n rule: header=\"X-Influxdb\"\n- name: 致远 M1_icon_hash\n rule: icon_hash=\"3080850296\"\n- name: 金和 OA_body\n rule: body=\"金和网络\" && body=\"Jinher Software\"\n- name: eagleeyescctv_body\n rule: body=\"ip surveillance for your life\" && body=\"/nobody/logindevice.js\" && body=\"IP\n Surveillance for Your Life\" && body=\"/nobody/loginDevice.js\"\n- name: TP-LINK-TD-8840T_header\n rule: header=\"realm=\\\"td-8840t\"\n- name: 网旗路由器管理系统_header\n rule: header=\"网旗路由器管理系统\"\n- name: EFM-Networks-ipTIME-A604V_body\n rule: body=\"src=\\\"/images2/login_title.a604v.gif\\\"\"\n- name: 致远 M1_body\n rule: body=\"M1-Server 已启动，您可以使用移动设备登录M1\"\n- name: AliyunOSS_header\n rule: 'header=\"server: aliyunoss\" && header=\"x-oss-request-id\" && header=\"AliyunOSS\"'\n- name: ChinaTelecomArrearsRecoveryManagementSystem_body\n rule: body=\"id=\\\"v_login_container\\\"\"\n- name: linksys-am_header\n rule: header=\"linksys-am\"\n- name: Zyxel ZyWALL_icon_hash\n rule: icon_hash=\"-484708885\"\n- name: DELL-N2024_body\n rule: body=\"class=\\\"login_server_default\\\">n2024\"\n- name: AVIOSYS-IP-Camera_body\n rule: body=\"copyright aviosys\" && body=\"view log\"\n- name: Polycom-SoundPoint_header\n rule: 'header=\"server: polycom soundpoint ip telephone httpd\"'\n- name: eagleeyescctv_header\n rule: header=\"avtech\"\n- name: dahua-WP_body\n rule: body=\"src=\\\"/wpms/asset/common/js/jsencrypt.min.js\\\"\"\n- name: DolphinScheduler_body\n rule: body=\"let node_env = 'true'\" && body=\"<title>dolphinscheduler\"\n- name: SES-imagotag_body\n rule: body=\"href=\\\"/xsl/accesspoint.xsl\\\"\"\n- name: sapido-router_body\n rule: body=\"/etop_home_menu_style.css\" && body=\"/b28n.js\"\n- name: 1C-Bitrix_header\n rule: header=\"1C-Bitrix\"\n- name: Linksys-Queretaro_header\n rule: header=\"Linksys-Queretaro\"\n- name: CopAdd400_body\n rule: body=\"科博安全隔离与信息单向导入系统\" && body=\"page/downloadlinuxclient.is.run\"\n- name: APC_Management_body\n rule: body=\"This object on the APC Management Web Server is protected\"\n- name: APC_Management_header\n rule: header=\"APC Management Card\"\n- name: Zenoss_body\n rule: body=\"/zport/dmd/\"\n- name: AtClose Server_header\n rule: header=\"AtClose Server\"\n- name: 用友-时空KSOA_body\n rule: body=\"/images_index/productKSOA.jpg\"\n- name: 08cms_body\n rule: body=\"content=\\\"08CMS\" && body=\"typeof(_08cms)\"\n- name: B_LINK-APRouter_header\n rule: header=\"realm=\\\"b-link-aprouter\"\n- name: LeTV-路由器_header\n rule: header=\"LeTV-路由器\"\n- name: 强讯科技 TalenTel_Log在线录音监听系统_header\n rule: header=\"强讯科技 TalenTel_Log在线录音监听系统\"\n- name: Lenovo-Printer_body\n rule: body=\"\"\n- name: Pushgateway_body\n rule: body=\"Pushgateway\"\n- name: Sitecom-NAS_header\n rule: header=\"realm=\\\"sitecom login enter password (default is sitecom\"\n- name: Exponent-CMS_body\n rule: body=\"content=\\\"exponent content management system\" && body=\"powered by exponent\n cms\" && body=\"content=\\\"Exponent Content Management System\" && body=\"Powered by\n Exponent CMS\"\n- name: 飞鱼星 家用智能路由_title\n rule: title=\"飞鱼星家用智能路由\"\n- name: Moxa VPort Devices_header\n rule: header=\"Moxa VPort Devices\"\n- name: Linksys BEFW11S4_header\n rule: header=\"Linksys BEFW11S4\"\n- name: ZEBRA-GX430t_body\n rule: body=\"ztc gx430t\"\n- name: Fortinet-CoyotePoint-Load-Balancer_header\n rule: 'header=\"server: coyotepoint\"'\n- name: 智能表综合管理系统_body\n rule: body=\"js/jsCore.js\" && body=\"Ajax_Code/Login.ashx\" && body=\"login.css\"\n- name: 爱信诺开票服务器_body\n rule: body=\"aisino.kps.console\"\n- name: phpMyBible_body\n rule: body=\"
\"\n- name: SuperMap-iServer_body\n rule: body=\"window.location.href=\\\"iserver\\\";\" && body=\"id=\\\"copyright\\\">canon mx410 series\"\n- name: 畅捷CRM_icon_hash\n rule: icon_hash=\"3226538652\"\n- name: WPB-5000-AP_body\n rule: body=\"window.location = \\\"./ap/login.html\\\";\"\n- name: IP-Video-embedded-camera_header\n rule: header=\"basic realm=\\\"camera server\\\"\"\n- name: cakephp_header\n rule: header=\"CAKEPHP\"\n- name: e-junkie_body\n rule: body=\"function EJEJC_lc\"\n- name: IWSS-Proxy_header\n rule: header=\"IWSS\"\n- name: IBM Domino smtpd_header\n rule: header=\"IBM Domino smtpd\"\n- name: 云时空社会化商业ERP系统_body\n rule: body=\"img src=\\\"/static/img/yunlogo_home.png\"\n- name: TechBridge云会议_header\n rule: header=\"TechBridge云会议\"\n- name: TVT NVMS-1000_body\n rule: body=\"NVMS-1000\"\n- name: 云时空社会化商业ERP系统_title\n rule: title=\"云时空社会化商业ERP系统\"\n- name: EFM-Networks-ipTIME-A2003NS-MU_body\n rule: body=\"src=\\\"/images2/login_title.a2003nm.gif\\\"\"\n- name: TP-LINK Wireless WR941ND_header\n rule: header=\"TP-LINK Wireless WR941ND\"\n- name: ILAS_body\n rule: body=\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vehiclemonitoringcloudplatform.yaml\"}, {\"id\": \"veritas-netbackup\", \"info\": {\"name\": \"veritas-netbackup\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,veritas-netbackup\", \"severity\": \"info\", \"metadata\": {\"product\": \"veritas-netbackup\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"href=\\\"/opscenter/features/common/images/favicon.ico\\\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\veritas-netbackup.yaml\"}, {\"id\": \"vertiv-system\", \"info\": {\"name\": \"vertiv-system\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vertiv-system\", \"severity\": \"info\", \"metadata\": {\"product\": \"vertiv-system\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"var port = \\\"9528\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vertiv-system.yaml\"}, {\"id\": \"vertx\", \"info\": {\"name\": \"vertx\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vertx\", \"severity\": \"info\", \"metadata\": {\"product\": \"vertx\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"set-cookie: vertx-web.session\"], \"part\": \"header\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vertx.yaml\"}, {\"id\": \"vhsoft-vhplot\", \"info\": {\"name\": \"vhsoft-vhplot\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vhsoft-vhplot\", \"severity\": \"info\", \"metadata\": {\"product\": \"vhsoft-vhplot\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"/vhplot/webresource.axd\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vhsoft-vhplot.yaml\"}, {\"id\": \"victorysoft-performance-management-system\", \"info\": {\"name\": \"victorysoft-performance-management-system\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,victorysoft-performance-management-system\", \"severity\": \"info\", \"metadata\": {\"product\": \"victorysoft-performance-management-system\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"casui/themes/siam/login.css\", \"class=\\\"row fl-controls-left\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\victorysoft-performance-management-system.yaml\"}, {\"id\": \"victorysoft\", \"info\": {\"name\": \"victorysoft\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,victorysoft\", \"severity\": \"info\", \"metadata\": {\"product\": \"victorysoft\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"href=\\\"webstyles/webstyle1/style1/css.css\\\"\", \"value=\\\"style2012/style1/scripts/expressinstall.swf\\\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\victorysoft.yaml\"}, {\"id\": \"videosoon\", \"info\": {\"name\": \"videosoon\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,videosoon\", \"severity\": \"info\", \"metadata\": {\"product\": \"videosoon\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"href=\\\"skin/anysoondefault/anystyles.css\", \"power by linksoon - videosoon\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\videosoon.yaml\"}, {\"id\": \"videosurveillancemanagementplatform\", \"info\": {\"name\": \"videosurveillancemanagementplatform\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,videosurveillancemanagementplatform\", \"severity\": \"info\", \"metadata\": {\"product\": \"videosurveillancemanagementplatform\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\" 平台采用最新图像化展现技术\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\videosurveillancemanagementplatform.yaml\"}, {\"id\": \"viewgood-streammedia\", \"info\": {\"name\": \"viewgood-streammedia\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,viewgood-streammedia\", \"severity\": \"info\", \"metadata\": {\"product\": \"viewgood-streammedia\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"location.href\", \"var webvirtualdiretory = 'viewgood';\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"fgetquery\", \"src='/viewgood/pc/\", \"viewgood\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\viewgood-streammedia.yaml\"}, {\"id\": \"violation-outreach-monitoring-system\", \"info\": {\"name\": \"violation-outreach-monitoring-system\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,violation-outreach-monitoring-system\", \"severity\": \"info\", \"metadata\": {\"product\": \"violation-outreach-monitoring-system\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"\", \"window.location='login.action';\", \"欢迎登录违规外联平台\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\violation-outreach-monitoring-system.yaml\"}, {\"id\": \"virtualmin\", \"info\": {\"name\": \"virtualmin\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,virtualmin\", \"severity\": \"info\", \"metadata\": {\"product\": \"virtualmin\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"
forgot your virtualmin password?
\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\virtualmin.yaml\"}, {\"id\": \"visualware-myconnection-server\", \"info\": {\"name\": \"visualware-myconnection-server\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,visualware-myconnection-server\", \"severity\": \"info\", \"metadata\": {\"product\": \"visualware-myconnection-server\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\visualware-myconnection-server.yaml\"}, {\"id\": \"vmedia-multimedia-publishing-platform\", \"info\": {\"name\": \"vmedia-multimedia-publishing-platform\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vmedia-multimedia-publishing-platform\", \"severity\": \"info\", \"metadata\": {\"product\": \"vmedia-multimedia-publishing-platform\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"class=\\\"video_00\\\"\", \"function toggle(targetid)\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vmedia-multimedia-publishing-platform.yaml\"}, {\"id\": \"vmware-aria-operations-for-logs\", \"info\": {\"name\": \"vmware-aria-operations-for-logs\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vmware-aria-operations-for-logs\", \"severity\": \"info\", \"metadata\": {\"product\": \"vmware-aria-operations-for-logs\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"vrealize log insight -\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vmware-aria-operations-for-logs.yaml\"}, {\"id\": \"vmware-esx\", \"info\": {\"name\": \"vmware-esx\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vmware-esx\", \"severity\": \"info\", \"metadata\": {\"product\": \"vmware-esx\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"<meta http-equiv=\\\"refresh\\\" content=\\\"0;url='/ui'\\\"/>\", \"content=\\\"vmware esx \", \"content=\\\"vmware esxi\", \"document.write(\\\"<title>\\\" + id_eesx_welcome + \\\"\\\");\", \"document.write(id_esx_viclientdesc);\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vmware-esx.yaml\"}, {\"id\": \"vmware-server-2\", \"info\": {\"name\": \"vmware-server-2\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vmware-server-2\", \"severity\": \"info\", \"metadata\": {\"product\": \"vmware-server-2\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"content=\\\"vmware server is virtual\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vmware-server-2.yaml\"}, {\"id\": \"vmware-site-recovery-manager\", \"info\": {\"name\": \"vmware-site-recovery-manager\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vmware-site-recovery-manager\", \"severity\": \"info\", \"metadata\": {\"product\": \"vmware-site-recovery-manager\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"
vsphere web client\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vmware-vsphere-web-client.yaml\"}, {\"id\": \"vmware-vsphere\", \"info\": {\"name\": \"vmware-vsphere\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vmware-vsphere\", \"severity\": \"info\", \"metadata\": {\"product\": \"vmware-vsphere\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"vmware view portal\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vmwareview.yaml\"}, {\"id\": \"vnc-enterprise\", \"info\": {\"name\": \"vnc-enterprise-\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vnc-enterprise-\", \"severity\": \"info\", \"metadata\": {\"product\": \"vnc-enterprise-\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"server: vnc server enterprise edition\"], \"part\": \"header\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vnc-enterprise-.yaml\"}, {\"id\": \"vnc\", \"info\": {\"name\": \"vnc\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vnc\", \"severity\": \"info\", \"metadata\": {\"product\": \"vnc\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"微信数字投票\", \"content=\\\"微平台投票管理系统\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"content=\\\"微平台投票系统\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\votemanager.yaml\"}, {\"id\": \"vp-asp\", \"info\": {\"name\": \"vp-asp\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vp-asp\", \"severity\": \"info\", \"metadata\": {\"product\": \"vp-asp\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"\", \"shopdisplayproducts.asp?id=\", \"src=\\\"vs350.js\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vp-asp.yaml\"}, {\"id\": \"vpn358system\", \"info\": {\"name\": \"vpn358system\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vpn358system\", \"severity\": \"info\", \"metadata\": {\"product\": \"vpn358system\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"class=\\\"form-actions j_add_ip_actions\\\"\", \"href=\\\"/lib/bootstrap/ico/favicon.ico\\\"\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vpn358system.yaml\"}, {\"id\": \"vrv-desktop-application-system\", \"info\": {\"name\": \"vrv-desktop-application-system\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vrv-desktop-application-system\", \"severity\": \"info\", \"metadata\": {\"product\": \"vrv-desktop-application-system\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"vrv\", \"var vver = $('#hidverify').val();\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vrv-desktop-application-system.yaml\"}, {\"id\": \"vrv-im\", \"info\": {\"name\": \"vrv-im\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vrv-im\", \"severity\": \"info\", \"metadata\": {\"product\": \"vrv-im\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"

连豆豆pc客户端

\", \"class=\\\"loginusername\\\" value=\\\"\\\" placeholder=\\\"连豆豆账号/邮箱/手机号\", \"class=\\\"wj-text wj-title\\\">下载信源豆豆

\", \"href=\\\"http://im.vrv.cn/server-securitycenter/password/goretrieval.vrv\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vrv-im.yaml\"}, {\"id\": \"vrv-nac\", \"info\": {\"name\": \"vrv-nac\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vrv-nac\", \"severity\": \"info\", \"metadata\": {\"product\": \"vrv-nac\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"localstorage.setitem('doctitle','北信源网络接入控制系统')\", \"欢迎登录北信源网络接入控制系统\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"id=\\\"modal_delay\\\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vrv-nac.yaml\"}, {\"id\": \"vts-cms\", \"info\": {\"name\": \"vts-cms\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,vts-cms\", \"severity\": \"info\", \"metadata\": {\"product\": \"vts-cms\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"errmag\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\vts-cms.yaml\"}, {\"id\": \"w3-total-cache\", \"info\": {\"name\": \"w3-total-cache\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,w3-total-cache\", \"severity\": \"info\", \"metadata\": {\"product\": \"w3-total-cache\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"\", \"http://websidestory.com\", \"websidestory code\", \"websidestory,inc. all rights reserved. u.s.patent no. 6,393,479b1\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\websidestory.yaml\"}, {\"id\": \"websocket\", \"info\": {\"name\": \"websocket\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,websocket\", \"severity\": \"info\", \"metadata\": {\"product\": \"websocket\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"websockets request was expected\", \"not a websocket handshake\", \"ws://\", \"wss://\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\websocket.yaml\"}, {\"id\": \"webtrust-cert\", \"info\": {\"name\": \"webtrust-cert\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,webtrust-cert\", \"severity\": \"info\", \"metadata\": {\"product\": \"webtrust-cert\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"https://cert.webtrust.org/viewseal\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\webtrust-cert.yaml\"}, {\"id\": \"webuploader\", \"info\": {\"name\": \"webuploader\", \"author\": \"cn-kali-team\", \"tags\": 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please login or register
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\"tian-wen-wu-ye-erp-xi-tong\", \"info\": {\"name\": \"天问物业erp系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech\", \"severity\": \"info\", \"metadata\": {\"product\": \"天问物业erp系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"www.tw369.com\", \"天问互联\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\天问物业erp系统.yaml\"}, {\"id\": \"tai-yi-xing-chen-xia-yi-dai-fang-huo-qiang\", \"info\": {\"name\": \"太一星晨-下一代防火墙\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,太一星晨-下一代防火墙\", \"severity\": \"info\", \"metadata\": {\"product\": \"太一星晨-下一代防火墙\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"t-force下一代防火墙\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\太一星晨-下一代防火墙.yaml\"}, {\"id\": \"qi-an-xin-ngsoc\", \"info\": {\"name\": \"奇安信-ngsoc\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-ngsoc\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-ngsoc\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"ngsoc关联规则引擎\", \"ngsoc日志采集探针\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-ngsoc.yaml\"}, {\"id\": \"qi-an-xin-vpn\", \"info\": {\"name\": \"奇安信-vpn\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-vpn\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-vpn\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"qianxinvpn\", \"卸载奇安信vpn\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"favicon\", \"hash\": [\"4cf31d7e53197f79b435b66cc8cb3098\"]}]}], \"_source_file\": \"00_unknown\\\\奇安信-vpn.yaml\"}, {\"id\": \"qi-an-xin-dai-ma-wei-shi\", \"info\": {\"name\": \"奇安信-代码卫士\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-代码卫士\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-代码卫士\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360代码卫士\", \"baseurl : 'app', //配置模块根路径到静态资源根目录\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-代码卫士.yaml\"}, {\"id\": \"qi-an-xin-qi-ye-an-quan-bu-shu\", \"info\": {\"name\": \"奇安信-企业安全部署\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-企业安全部署\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-企业安全部署\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360企业安全部署\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-企业安全部署.yaml\"}, {\"id\": \"qi-an-xin-qi-ye-ban-kong-zhi-zhong-xin\", \"info\": {\"name\": \"奇安信-企业版控制中心\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-企业版控制中心\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-企业版控制中心\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360企业版控制中心\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-企业版控制中心.yaml\"}, {\"id\": \"qi-an-xin-tian-qing\", \"info\": {\"name\": \"奇安信-天擎\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-天擎\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-天擎\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360新天擎\", \"appid\\\":\\\"skylar6\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-天擎.yaml\"}, {\"id\": \"qi-an-xin-tian-ji-guan-li-zhong-xin\", \"info\": {\"name\": \"奇安信-天机管理中心\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-天机管理中心\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-天机管理中心\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360天机管理中心\", \"src=\\\"/resource/img/login/logo_403.png\\\" alt=\\\"360天机\\\"/>\\\"\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-天机管理中心.yaml\"}, {\"id\": \"qi-an-xin-tian-yan\", \"info\": {\"name\": \"奇安信-天眼\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-天眼\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-天眼\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360天眼\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-天眼.yaml\"}, {\"id\": \"qi-an-xin-shu-ju-tuo-min-xi-tong\", \"info\": {\"name\": \"奇安信-数据脱敏系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信-数据脱敏系统\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信-数据脱敏系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"360网神数据脱敏系统 \"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信-数据脱敏系统.yaml\"}, {\"id\": \"qi-an-xin-zhong-duan-an-quan-guan-li-xi-tongqax-tian-qing\", \"info\": {\"name\": \"奇安信终端安全管理系统qax天擎\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,奇安信终端安全管理系统qax天擎\", \"severity\": \"info\", \"metadata\": {\"product\": \"奇安信终端安全管理系统qax天擎\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"id=\\\"rsapubkey\\\"\", \"奇安信新天擎\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奇安信终端安全管理系统qax天擎.yaml\"}, {\"id\": \"qi-yue-suo-dian-zi-qian-zhang-xi-tong\", \"info\": {\"name\": \"契约锁电子签章系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech\", \"severity\": \"info\", \"metadata\": {\"product\": \"契约锁电子签章系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"qyswebapp\", \"电子签署平台\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"p3p: cp=cao psa our\"], \"part\": \"header\", \"case-insensitive\": true}, {\"type\": \"favicon\", \"hash\": [\"ad17b1fc5025ca47f743f7e69c956b26\"]}]}], \"_source_file\": \"00_unknown\\\\契约锁电子签章系统.yaml\"}, {\"id\": \"ao-wei-ya-shi-ping-yun-ping-tai\", \"info\": {\"name\": \"奥威亚视屏云平台\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech\", \"severity\": \"info\", \"metadata\": {\"product\": \"奥威亚视屏云平台\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"lickandshowsignupmodal\", \"clickandshowloginmodal\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"/css/newtontheme/assets/app.css\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\奥威亚视屏云平台.yaml\"}, {\"id\": \"hao-shi-tong-fastmeeting\", \"info\": {\"name\": \"好视通-fastmeeting\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,好视通-fastmeeting\", \"severity\": \"info\", \"metadata\": {\"product\": \"好视通-fastmeeting\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"login/createqrcode.do\", \"resources/commonimage/favicon.ico\", \"用户登录\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\好视通-fastmeeting.yaml\"}, {\"id\": \"fu-meng-yun\", \"info\": {\"name\": \"孚盟云\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,孚盟云\", \"severity\": \"info\", \"metadata\": {\"product\": \"孚盟云\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"fumasoft\", \"孚盟云\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\孚盟云.yaml\"}, {\"id\": \"ning-dun-yi-ti-hua-an-quan-ren-zheng-ping-tai\", \"info\": {\"name\": \"宁盾-一体化安全认证平台\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,宁盾-一体化安全认证平台\", \"severity\": \"info\", \"metadata\": {\"product\": \"宁盾-一体化安全认证平台\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"id=\\\"dynamicpasswordwithmobile\\\">\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\宁盾-一体化安全认证平台.yaml\"}, {\"id\": \"yu-shi-vs-isc5000-e\", \"info\": {\"name\": \"宇视vs-isc5000-e\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech\", \"severity\": \"info\", \"metadata\": {\"product\": \"宇视vs-isc5000-e\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"location: page/login/\"], \"part\": \"header\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\宇视vs-isc5000-e.yaml\"}, {\"id\": \"an-bo-tong-ying-yong-wang-guan\", \"info\": {\"name\": \"安博通应用网关\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安博通应用网关\", \"severity\": \"info\", \"metadata\": {\"product\": \"安博通应用网关\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"安博通应用网关\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安博通应用网关.yaml\"}, {\"id\": \"an-heng-yun-bao-lei-ji\", \"info\": {\"name\": \"安恒云堡垒机\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒云堡垒机\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒云堡垒机\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"dbappsecurity\", \"安恒云堡垒机\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒云堡垒机.yaml\"}, {\"id\": \"an-heng-xin-xi-ming-yuweb-ying-yong-fang-huo-qiang\", \"info\": {\"name\": \"安恒信息-明御web应用防火墙\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-明御web应用防火墙\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-明御web应用防火墙\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"scripts/app.waf.system.login.js\", \"明御web应用防火墙\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-明御web应用防火墙.yaml\"}, {\"id\": \"an-heng-xin-xi-ming-yu-an-quan-wang-guan\", \"info\": {\"name\": \"安恒信息-明御安全网关\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-明御安全网关\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-明御安全网关\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"明御安全网关\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-明御安全网关.yaml\"}, {\"id\": \"an-heng-xin-xi-ming-yu-shu-ju-ku-shen-ji-yu-feng-xian-kong-zhi-xi-tong\", \"info\": {\"name\": \"安恒信息-明御数据库审计与风险控制系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-明御数据库审计与风险控制系统\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-明御数据库审计与风险控制系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"明御数据库审计\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-明御数据库审计与风险控制系统.yaml\"}, {\"id\": \"an-heng-xin-xi-ming-yu-zong-he-ri-zhi-shen-ji\", \"info\": {\"name\": \"安恒信息-明御综合日志审计\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-明御综合日志审计\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-明御综合日志审计\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"明御\", \"综合日志审计分析平台\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-明御综合日志审计.yaml\"}, {\"id\": \"an-heng-xin-xi-ming-yu-yun-wei-shen-ji-yu-feng-xian-kong-zhi-xi-tong\", \"info\": {\"name\": \"安恒信息-明御运维审计与风险控制系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-明御运维审计与风险控制系统\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-明御运维审计与风险控制系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"明御运维审计\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-明御运维审计与风险控制系统.yaml\"}, {\"id\": \"an-heng-xin-xi-ming-jian-wang-zhan-an-quan-jian-ce-ping-tai\", \"info\": {\"name\": \"安恒信息-明鉴网站安全监测平台\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-明鉴网站安全监测平台\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-明鉴网站安全监测平台\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"网站安全检测平台\", \"网站安全监测平台\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-明鉴网站安全监测平台.yaml\"}, {\"id\": \"an-heng-xin-xi-fang-huo-qiang\", \"info\": {\"name\": \"安恒信息-防火墙\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安恒信息-防火墙\", \"severity\": \"info\", \"metadata\": {\"product\": \"安恒信息-防火墙\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"dbapp security\", \"scripts/web-common.js\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安恒信息-防火墙.yaml\"}, {\"id\": \"an-wang-ke-ji-zhi-neng-lu-you-xi-tong\", \"info\": {\"name\": \"安网科技-智能路由系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安网科技-智能路由系统\", \"severity\": \"info\", \"metadata\": {\"product\": \"安网科技-智能路由系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"安网科技-智能路由系统\", \"var save_time=72;//小时数\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安网科技-智能路由系统.yaml\"}, {\"id\": \"an-da-tong-tpn-wang-guan-kong-zhi-tai-deng-lu-xi-tong\", \"info\": {\"name\": \"安达通-tpn网关控制台登陆系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安达通-tpn网关控制台登陆系统\", \"severity\": \"info\", \"metadata\": {\"product\": \"安达通-tpn网关控制台登陆系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"$('#submitid').bind('click',checksubmitfn);\\\"\", \"tpn-2g网关控制台管理员登录\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安达通-tpn网关控制台登陆系统.yaml\"}, {\"id\": \"an-da-tong-vpn\", \"info\": {\"name\": \"安达通-vpn\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安达通-vpn\", \"severity\": \"info\", \"metadata\": {\"product\": \"安达通-vpn\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"$('#submitid').bind('click',checksubmitfn);\\\"\", \"sjw74 vpn网关控制台管理员登录\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安达通-vpn.yaml\"}, {\"id\": \"an-you-an-quan-you-jian\", \"info\": {\"name\": \"安邮-安全邮件\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,安邮-安全邮件\", \"severity\": \"info\", \"metadata\": {\"product\": \"安邮-安全邮件\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\" 客服邮箱support@suremail.cn\", \"content=\\\"北京国信安邮科技有限公司\"], \"condition\": \"and\", \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\安邮-安全邮件.yaml\"}, {\"id\": \"shan-shi-wang-ke-fang-huo-qiang\", \"info\": {\"name\": \"山石网科防火墙\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,山石网科防火墙\", \"severity\": \"info\", \"metadata\": {\"product\": \"山石网科防火墙\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": 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\"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"=fs\", \"reportserver\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"content=\\\"finereport--web reporting tool\\\"\", \"finereport/decision\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\帆软报表.yaml\"}, {\"id\": \"fan-ruan-shu-ju-jue-ce-xi-tong\", \"info\": {\"name\": \"帆软数据决策系统\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech\", \"severity\": \"info\", \"metadata\": {\"product\": \"帆软数据决策系统\", \"vendor\": \"00_unknown\", \"verified\": false}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"webroot/decision/file?path=\"], \"case-insensitive\": true}]}], \"_source_file\": \"00_unknown\\\\帆软数据决策系统.yaml\"}, {\"id\": \"guang-lian-da-oa\", \"info\": {\"name\": \"广联达oa\", \"author\": \"cn-kali-team\", \"tags\": 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{\"name\": \"crywolf\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,crywolf\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"false alarm reduction website\"], \"product\": \"crywolf\", \"vendor\": \"centralsquare\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"false alarm reduction website\"], \"case-insensitive\": true}]}], \"_source_file\": \"centralsquare\\\\crywolf.yaml\"}, {\"id\": \"centreon\", \"info\": {\"name\": \"centreon\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,centreon\", \"severity\": \"info\", \"metadata\": {\"product\": \"centreon\", \"vendor\": \"centreon\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"generator\\\" content=\\\"centreon - copyright\"], \"case-insensitive\": true}]}], \"_source_file\": \"centreon\\\\centreon.yaml\"}, {\"id\": \"cgit\", \"info\": {\"name\": \"cgit\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,cgit\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"git repository browser\\\"\"], \"google-query\": [\"intitle:\\\"git repository browser\\\"\"], \"product\": \"cgit\", \"shodan-query\": [\"http.title:\\\"git repository browser\\\"\"], \"vendor\": \"cgit_project\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>git repository browser.*?\"]}]}], \"_source_file\": \"cgit_project\\\\cgit.yaml\"}, {\"id\": \"cachet\", \"info\": {\"name\": \"cachet\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,cachet\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"icon_hash=-1606065523\"], \"product\": \"cachet\", \"shodan-query\": [\"http.favicon.hash:-1606065523\"], \"vendor\": \"chachethq\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], 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\"evolved_programmable_network_manager\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,evolved_programmable_network_manager\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"prime infrastructure\\\"\"], \"google-query\": [\"intitle:\\\"prime infrastructure\\\"\"], \"product\": \"evolved_programmable_network_manager\", \"shodan-query\": [\"http.title:\\\"prime infrastructure\\\"\"], \"vendor\": \"cisco\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>prime infrastructure.*?\"]}]}], \"_source_file\": \"cisco\\\\evolved_programmable_network_manager.yaml\"}, {\"id\": \"identity_services_engine\", \"info\": {\"name\": \"identity_services_engine\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,identity_services_engine\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"identity services engine\\\"\"], \"google-query\": 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{\"id\": \"rv160_firmware\", \"info\": {\"name\": \"rv160_firmware\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,rv160_firmware\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"cisco rv340\\\"\"], \"product\": \"rv160_firmware\", \"shodan-query\": [\"http.html:\\\"cisco rv340\\\"\"], \"vendor\": \"cisco\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"cisco rv340\"], \"case-insensitive\": true}]}], \"_source_file\": \"cisco\\\\rv160_firmware.yaml\"}, {\"id\": \"sg200-50_firmware\", \"info\": {\"name\": \"sg200-50_firmware\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,sg200-50_firmware\", \"severity\": \"info\", \"metadata\": {\"product\": \"sg200-50_firmware\", \"shodan-query\": [\"/config/log_off_page.htm\"], \"vendor\": \"cisco\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", 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[{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"airmedia\"], \"case-insensitive\": true}]}], \"_source_file\": \"crestron\\\\crestron-device.yaml\"}, {\"id\": \"listingpro\", \"info\": {\"name\": \"listingpro\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,listingpro\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"/wp-content/plugins/listingpro\\\"\"], \"product\": \"listingpro\", \"vendor\": \"cridio\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"/wp-content/plugins/listingpro\"], \"case-insensitive\": true}]}], \"_source_file\": \"cridio\\\\listingpro.yaml\"}, {\"id\": \"crmeb\", \"info\": {\"name\": \"crmeb\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,crmeb\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"crmeb\\\"\"], \"product\": \"crmeb\", \"vendor\": \"crmeb\", 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crmeb

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\"matchers\": [{\"type\": \"favicon\", \"hash\": [\"11794165\"]}]}], \"_source_file\": \"ctrip\\\\apollo.yaml\"}, {\"id\": \"thinfinity_virtualui\", \"info\": {\"name\": \"thinfinity_virtualui\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,thinfinity_virtualui\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"thinfinity virtualui\\\"\"], \"google-query\": [\"intitle:\\\"thinfinity virtualui\\\"\"], \"product\": \"thinfinity_virtualui\", \"shodan-query\": [\"http.title:\\\"thinfinity virtualui\\\"\"], \"vendor\": \"cybelesoft\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>thinfinity virtualui.*?\"]}]}], \"_source_file\": \"cybelesoft\\\\thinfinity_virtualui.yaml\"}, {\"id\": \"thinvnc\", \"info\": {\"name\": \"thinvnc\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,thinvnc\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"icon_hash=-1414548363\"], \"product\": \"thinvnc\", \"shodan-query\": [\"http.favicon.hash:-1414548363\"], \"vendor\": \"cybelsoft\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"favicon\", \"hash\": [\"-1414548363\"]}]}], \"_source_file\": \"cybelsoft\\\\thinvnc.yaml\"}, {\"id\": \"cyberpanel\", \"info\": {\"name\": \"cyberpanel\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,cyberpanel\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"app=\\\"cyberpanel\\\"\"], \"product\": \"cyberpanel\", \"shodan-query\": [\"html:\\\"cyberpanel\\\"\"], \"vendor\": \"cyberpanel\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"cyberpanel\"], \"case-insensitive\": true}]}], \"_source_file\": \"cyberpanel\\\\cyberpanel.yaml\"}, {\"id\": \"d-link\", \"info\": {\"name\": \"d-link\", \"author\": \"cn-kali-team\", \"tags\": 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\"smart_parking_management\", \"info\": {\"name\": \"smart_parking_management\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,smart_parking_management\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"/wpms/asset\\\"\"], \"product\": \"smart_parking_management\", \"shodan-query\": [\"html:\\\"/wpms/asset\\\"\", \"http.html:\\\"/wpms/asset\\\"\"], \"vendor\": \"dahuasecurity\", \"verified\": true, \"zoomeye-query\": [\"/wpms/asset\"]}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"/wpms/asset\"], \"case-insensitive\": true}]}], \"_source_file\": \"dahuasecurity\\\\smart_parking_management.yaml\"}, {\"id\": \"danswer\", \"info\": {\"name\": \"danswer\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,danswer\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"icon_hash=\\\"484766002\\\"\"], \"product\": \"danswer\", \"vendor\": \"danswer-ai\", \"verified\": true}}, \"http\": 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\"dataease\", \"shodan-query\": [\"http.html:\\\"dataease\\\"\"], \"vendor\": \"dataease\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"dataease\"], \"case-insensitive\": true}]}], \"_source_file\": \"dataease\\\\dataease.yaml\"}, {\"id\": \"dataease\", \"info\": {\"name\": \"dataease\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,dataease\", \"severity\": \"info\", \"metadata\": {\"product\": \"dataease\", \"shodan-query\": [\"html:\\\"dataease\\\"\"], \"vendor\": \"dataease_project\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"dataease\"], \"case-insensitive\": true}]}], \"_source_file\": \"dataease_project\\\\dataease.yaml\"}, {\"id\": \"datahub\", \"info\": {\"name\": \"datahub\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,datahub\", \"severity\": \"info\", \"metadata\": {\"product\": \"datahub\", \"shodan-query\": [\"http.title:\\\"datahub\\\"\"], \"vendor\": \"datahub_project\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>datahub.*?\"]}]}], \"_source_file\": \"datahub_project\\\\datahub.yaml\"}, {\"id\": \"data_science_studio\", \"info\": {\"name\": \"data_science_studio\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,data_science_studio\", \"severity\": \"info\", \"metadata\": {\"product\": \"data_science_studio\", \"shodan-query\": [\"title:\\\"dataiku\\\"\"], \"vendor\": \"dataiku\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>dataiku.*?\"]}]}], \"_source_file\": \"dataiku\\\\data_science_studio.yaml\"}, {\"id\": \"datart\", \"info\": {\"name\": \"datart\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,datart\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"datart\\\"\"], \"hunter-query\": [\"web.title=\\\"datart\\\"\"], \"product\": \"datart\", \"shodan-query\": [\"title:\\\"datart\\\"\"], \"vendor\": \"datart\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>datart.*?\"]}]}], \"_source_file\": \"datart\\\\datart.yaml\"}, {\"id\": \"dt80_dex_firmware\", \"info\": {\"name\": \"dt80_dex_firmware\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,dt80_dex_firmware\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"datataker\\\"\"], \"google-query\": [\"intitle:\\\"datataker\\\"\"], \"product\": \"dt80_dex_firmware\", \"shodan-query\": [\"http.title:\\\"datataker\\\"\"], \"vendor\": \"datataker\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>datataker.*?\"]}]}], \"_source_file\": \"datataker\\\\dt80_dex_firmware.yaml\"}, {\"id\": \"debian\", \"info\": {\"name\": \"debian\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,debian\", \"severity\": \"info\", \"metadata\": {\"product\": \"debian\", \"vendor\": \"debian\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"

welcome to nginx on debian!

\"], \"case-insensitive\": true}]}], \"_source_file\": \"debian\\\\debian.yaml\"}, {\"id\": \"dedecms\", \"info\": {\"name\": \"dedecms\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,dedecms\", \"severity\": \"info\", \"metadata\": {\"product\": \"dedecms\", \"vendor\": \"dedecms\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"/templets/default/style/dedecms.css\", \"dedecms\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"name=\\\"dede_fields\", \"name=\\\"dede_fieldshash\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"\", \"name=\\\"q\\\"\"], \"condition\": \"and\", \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"power by dedecms\", \"

dedecms error warning!

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\"emc_avamar,emc_integrated_data_protection_appliance\", \"shodan-query\": [\"title:\\\"avamar\\\"\"], \"vendor\": \"dell\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>avamar.*?\"]}]}], \"_source_file\": \"dell\\\\emc_avamar,emc_integrated_data_protection_appliance.yaml\"}, {\"id\": \"huemagic\", \"info\": {\"name\": \"huemagic\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,huemagic\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"node-red\\\"\"], \"google-query\": [\"intitle:\\\"node-red\\\"\"], \"product\": \"huemagic\", \"shodan-query\": [\"title:\\\"node-red\\\"\", \"http.title:\\\"node-red\\\"\"], \"vendor\": \"dgtl\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>node-red.*?\"]}]}], \"_source_file\": \"dgtl\\\\huemagic.yaml\"}, {\"id\": \"drawio\", \"info\": {\"name\": \"drawio\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,drawio\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"flowchart maker\\\"\"], \"google-query\": [\"intitle:\\\"flowchart maker\\\"\"], \"product\": \"drawio\", \"shodan-query\": [\"http.title:\\\"flowchart maker\\\"\"], \"vendor\": \"diagrams\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>flowchart maker.*?\"]}]}], \"_source_file\": \"diagrams\\\\drawio.yaml\"}, {\"id\": \"hoteldruid\", \"info\": {\"name\": \"hoteldruid\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,hoteldruid\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"hoteldruid\\\"\", \"icon_hash=-1521640213\"], \"google-query\": [\"intitle:\\\"hoteldruid\\\"\"], \"product\": \"hoteldruid\", \"shodan-query\": [\"http.title:\\\"hoteldruid\\\"\", \"http.favicon.hash:-1521640213\", \"title:\\\"hoteldruid\\\"\"], \"vendor\": \"digitaldruid\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"favicon\", \"hash\": [\"-1521640213\"]}, {\"type\": \"regex\", \"regex\": [\"(?mi)]*>hoteldruid.*?\"]}]}], \"_source_file\": \"digitaldruid\\\\hoteldruid.yaml\"}, {\"id\": \"central_wifimanager\", \"info\": {\"name\": \"central_wifimanager\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,central_wifimanager\", \"severity\": \"info\", \"metadata\": {\"product\": \"central_wifimanager\", \"shodan-query\": [\"html:\\\"d-link central wifimanager\\\"\"], \"vendor\": \"dlink\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"d-link central wifimanager\"], \"case-insensitive\": true}]}], \"_source_file\": \"dlink\\\\central_wifimanager.yaml\"}, {\"id\": \"d-view_8\", \"info\": {\"name\": \"d-view_8\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,d-view_8\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"icon_hash=\\\"-1317621215\\\"\"], \"product\": \"d-view_8\", \"shodan-query\": [\"http.favicon.hash:-1317621215\", \"http.favicon.hash:\\\"-1317621215\\\"\"], \"vendor\": \"dlink\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"favicon\", \"hash\": [\"-1317621215\"]}]}], \"_source_file\": \"dlink\\\\d-view_8.yaml\"}, {\"id\": \"dar-8000-10_firmware\", \"info\": {\"name\": \"dar-8000-10_firmware\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,dar-8000-10_firmware\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"dar-8000-10\\\" && title=\\\"d-link\\\"\"], \"product\": \"dar-8000-10_firmware\", \"vendor\": \"dlink\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\" title=\\\"d-link\", \"dar-8000-10\\\" \"], \"case-insensitive\": true}]}], \"_source_file\": \"dlink\\\\dar-8000-10_firmware.yaml\"}, {\"id\": \"dir-605l_firmware\", \"info\": {\"name\": \"dir-605l_firmware\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,dir-605l_firmware\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"l_tb>dir-605\\\"\"], \"product\": \"dir-605l_firmware\", \"vendor\": \"dlink\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"l_tb>dir-605\"], \"case-insensitive\": true}]}], \"_source_file\": \"dlink\\\\dir-605l_firmware.yaml\"}, {\"id\": \"dir-615\", \"info\": {\"name\": \"dir-615\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,dir-615\", \"severity\": \"info\", \"metadata\": {\"product\": \"dir-615\", \"shodan-query\": [\"http.title:\\\"roteador wireless\\\"\", \"cpe:\\\"cpe:2.3:h:dlink:dir-615\\\"\"], \"vendor\": \"dlink\", \"verified\": true}}, \"http\": 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\"words\": [\"elastic\"], \"case-insensitive\": true}, {\"type\": \"word\", \"words\": [\"kbn-license-sig:\"], \"part\": \"header\", \"case-insensitive\": true}]}], \"_source_file\": \"elastic\\\\elastic.yaml\"}, {\"id\": \"elasticsearch\", \"info\": {\"name\": \"elasticsearch\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,elasticsearch\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"index_not_found_exception\"], \"product\": \"elasticsearch\", \"vendor\": \"elastic\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"index_not_found_exception\"], \"case-insensitive\": true}]}], \"_source_file\": \"elastic\\\\elasticsearch.yaml\"}, {\"id\": \"kibana\", \"info\": {\"name\": \"kibana\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,kibana\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"kibana\\\"\"], \"google-query\": [\"intitle:\\\"kibana\\\"\"], \"product\": \"kibana\", \"shodan-query\": [\"http.title:\\\"kibana\\\"\"], \"vendor\": \"elastic\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>kibana.*?\"]}]}], \"_source_file\": \"elastic\\\\kibana.yaml\"}, {\"id\": \"logstash\", \"info\": {\"name\": \"logstash\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,logstash\", \"severity\": \"info\", \"metadata\": {\"product\": \"logstash\", \"shodan-query\": [\"html:\\\"logstash\\\"\"], \"vendor\": \"elastic\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"logstash\"], \"case-insensitive\": true}]}], \"_source_file\": \"elastic\\\\logstash.yaml\"}, {\"id\": \"elasticsearch\", \"info\": {\"name\": \"elasticsearch\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,elasticsearch\", \"severity\": \"info\", \"metadata\": {\"product\": \"elasticsearch\", \"vendor\": \"elasticsearch\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"favicon\", \"hash\": [\"6177bfb75b498e0bb356223ed76ffe43\"]}, {\"type\": \"word\", \"words\": [\" \\\"tagline\\\" : \\\"you know, for search\\\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"elasticsearch\\\\elasticsearch.yaml\"}, {\"id\": \"eleanor_cms\", \"info\": {\"name\": \"eleanor_cms\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,eleanor_cms\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"eleanor\\\"\"], \"product\": \"eleanor_cms\", \"shodan-query\": [\"html:\\\"eleanor\\\"\", \"http.html:\\\"eleanor\\\"\", \"cpe:\\\"cpe:2.3:a:eleanor-cms:eleanor_cms\\\"\"], \"vendor\": \"eleanor-cms\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"eleanor\"], \"case-insensitive\": true}]}], \"_source_file\": \"eleanor-cms\\\\eleanor_cms.yaml\"}, {\"id\": \"elgg\", \"info\": {\"name\": \"elgg\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,elgg\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"icon_hash=\\\"413602919\\\"\"], \"product\": \"elgg\", \"vendor\": \"elgg\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"favicon\", \"hash\": [\"413602919\"]}]}], \"_source_file\": \"elgg\\\\elgg.yaml\"}, {\"id\": \"ethos_identity\", \"info\": {\"name\": \"ethos_identity\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,ethos_identity\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"body=\\\"ellucian company\\\"\"], \"google-query\": [\"login with ellucian ethos identity\"], \"product\": \"ethos_identity\", \"shodan-query\": [\"html:\\\"ellucian company\\\"\", \"http.html:\\\"ellucian company\\\"\"], \"vendor\": \"ellucian\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"ellucian company\"], \"case-insensitive\": true}]}], \"_source_file\": \"ellucian\\\\ethos_identity.yaml\"}, {\"id\": \"embedthis-appweb\", \"info\": {\"name\": \"embedthis-appweb\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,embedthis-appweb\", \"severity\": \"info\", \"metadata\": {\"product\": \"appweb\", \"vendor\": \"embedthis\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"server: embedthis-appweb\"], \"part\": \"header\", \"case-insensitive\": true}]}], \"_source_file\": \"embedthis\\\\appweb.yaml\"}, {\"id\": \"emby\", \"info\": {\"name\": \"emby\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,emby\", \"severity\": \"info\", \"metadata\": {\"product\": \"emby\", \"vendor\": \"emby\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"content=\\\"emby server\\\"\"], \"case-insensitive\": true}]}], \"_source_file\": \"emby\\\\emby.yaml\"}, {\"id\": \"emlog\", \"info\": {\"name\": \"emlog\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,emlog\", \"severity\": \"info\", \"metadata\": {\"fofa-query\": [\"title=\\\"emlog\\\"\"], \"product\": \"emlog\", \"vendor\": \"emlog\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"regex\", \"regex\": [\"(?mi)]*>emlog.*?\"]}]}], \"_source_file\": \"emlog\\\\emlog.yaml\"}, {\"id\": \"episerver\", \"info\": {\"name\": \"episerver\", \"author\": \"cn-kali-team\", \"tags\": \"detect,tech,episerver\", \"severity\": \"info\", \"metadata\": {\"product\": \"episerver\", \"vendor\": \"episerver\", \"verified\": true}}, \"http\": [{\"method\": \"GET\", \"path\": [\"{{BaseURL}}/\"], \"matchers\": [{\"type\": \"word\", \"words\": [\"/javascript/episerverscriptmanager.js\", 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Version(\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"http://www.sourcebans.net\\\\\\\" target=\\\\\\\"_blank\\\\\\\">snom AG
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troy serial server
邮局管理员可自行分配邮箱！管理apusic应用服务器\\u90ae\\u5c40\\u7ba1\\u7406\\u5458\\u53ef\\u81ea\\u884c\\u5206\\u914d\\u90ae\\u7bb1\\uff01
\\u8003\\u6838\\u8bc4\\u6d4b\\u7cfb\\u7edf\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Delivery application\",\n \"logic\": \"(a&&b)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"\\u4ea4\\u4ed8\\u5e94\\u7528\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"src=\\\\\\\"http://res.wx.qq.com/open/js/jweixin\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"CodePush-server\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"content=\\\\\\\"CodePush service is hotupdate services\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Marine shipping system\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"\\u6d77\\u4e8b\\u9009\\u8239\\u7cfb\\u7edf\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpSysInfo\",\n \"logic\": \"a||b||c||d||e\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"var stargeturl = \\\\\\\"index.php?disp=dynamic\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"content=\\\\\\\"phpSysInfo\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"phpSysInfo - \",\n \"is_equal\": true\n }, {\n \"label\": \"d\",\n \"feature\": \"href=\\\\\\\"http://phpsysinfo.sourceforge.net/\\\\\\\">phpSysInfo\",\n \"is_equal\": true\n }, {\n \"label\": \"e\",\n \"feature\": \"/templates/phpsysinfo.css\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpLDAPadmin\",\n \"logic\": \"a||b||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"phpLDAPadmin - \",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"href=\\\\\\\"http://phpldapadmin.sourceforge.net/Documentation\\\\\\\" onclick\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"src=\\\\\\\"images/default/logo.png\\\\\\\" title=\\\\\\\"phpLDAPadmin logo\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"PHP-Link-Directory\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"powered by phpLinkDirectory\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"content=\\\\\\\"PHP Link Directory\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpMumbleAdmin\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"phpmumbleadmin_session=\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"phpmumbleadmin_session=\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpMoneyBooks\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"href='http://phpMoneyBooks.com'>phpMoneyBooks\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"PHP_LIVE- Product\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Knowledge BASE (FAQ)\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"Powered by phpRemoteView\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"PHP-Support-Tickets\",\n \"logic\": \"a||b||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"title=\\\\\\\"php support tickets\\\\\\\">PHP Support Tickets\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"PHP Support Tickets\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"content=\\\\\\\"Triangle Solutions Ltd\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Jin Sanli - Video Monitoring\",\n \"logic\": \"a|| (b&&c)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"cn=santachi\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"VISIBILITY: inherit; WIDTH: 200px; Z-INDEX: 2\\\\\\\">\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"//\\u5207\\u6362iFrame \\u51fd\\u65700-\\u89c6\\u9891\\u3001\\u5f55\\u50cf\\uff1b1-\\u53c2\\u6570\\u3001\\u65e5\\u5fd7\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"New Jingxiang - Media Activity Management Platform\",\n \"logic\": \"(a&&b)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"swiper/swiper.min.css\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"src=\\\\\\\"/kaptcha\\\\\\\" id=\\\\\\\"kaptcha\\\\\\\"\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Crocus\",\n \"logic\": \"(a&&b)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"for=\\\\\\\"inp_verification\\\\\\\"\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"src=\\\\\\\"Images/logo.png\\\\\\\"\",\n \"is_equal\": false\n }]\n}, {\n \"name\": \"Enterprise login management system\",\n \"logic\": \"(a&&b&&c)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Themes/Scripts/FunctionJS.js\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"txtUserName\\\\\\\").focus(); //\\u9ed8\\u8ba4\\u7126\\u70b9\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"id=\\\\\\\"cp\\\\\\\"\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpMyBible\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"
\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpMyRealty\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"Powered by secondary_nodes\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"ULTIMUS-BPM\",\n \"logic\": \"(a&&b)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"content=\\\\\\\"Ultimus BPM\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"class=\\\\\\\"toptitle\\\\\\\">BPM\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"TP-LINK-Archer-D20\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"0.8.0 1.1 v0049.0 Build 150728 Rel.33681n\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"1.2.0 0.8.0 v0049.0 Build 160216 Rel.60153n\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"D-Link-DSL-6850U\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"realm=\\\\\\\"DSL-6850U\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"DSL-6850U\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"HUAWEI-NE5000E\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"HUAWEI NE5000E\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"\\u4e00\\u6240-\\u7f51\\u9632G01\\u65b0\\u7248\\u672c\",\n \"logic\": \"(a&&b) || (c&&d) || (e&&f)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"security_session_verify\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"yunsuo_session_verify\",\n \"is_equal\": false\n }, {\n \"label\": \"c\",\n \"feature\": \"href=\\\\\\\"http://bbs.yunsuo.com.cn\",\n \"is_equal\": false\n }, {\n \"label\": \"d\",\n \"feature\": \"BPM\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"class=\\\\\\\"logo-element\\\\\\\">AGILE-BPM\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Interactive virtual ship display system\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"\\u4ea4\\u4e92\\u5f0f\\u865a\\u62df\\u8239\\u8236\\u5c55\\u793a\\u7cfb\\u7edf\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Baoli-Bio-Lims\",\n \"logic\": \"a&&b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"/lims/js/login.js\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"/lims/dist/css/font-awesome.min.css\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Zhongke Henglun - 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Supply Chain System\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"src=\\\\\\\"/images/hyscm.jpg\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Sub-energy-energy storage and monitoring platform\",\n \"logic\": \"a&&b&&c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"\\u6749\\u6749\\u50a8\\u80fd\\u76d1\\u63a7\\u5e73\\u53f0\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"AMap.MouseTool,AMap.DistrictSearch\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"/dist/libs/layui/css/layui.css\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Haig Logistics-4PL Management System\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"document.cookie=\\\\\\\"4pl07username=\\\\\\\"+ArrayStr\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"phpCollab\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"MailEnable - Webmail\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"class=\\\\\\\"loginPanel_botLeft_div\",\n \"is_equal\": true\n }, {\n \"label\": \"d\",\n \"feature\": \"smtp\",\n \"is_equal\": true\n }, {\n \"label\": \"e\",\n \"feature\": \"MailEnable\",\n \"is_equal\": true\n }, {\n \"label\": \"f\",\n \"feature\": \"MailEnable POP3 Server\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Mailman\",\n \"logic\": \"a||b||c||d\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Delivered by Mailman\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"/images/mailman\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"href=\\\\\\\"http://www.gnu.org/software/mailman/index.html\",\n \"is_equal\": true\n }, {\n \"label\": \"d\",\n \"feature\": \"MailMan\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"mailsite-Express\",\n \"logic\": \"a||b||c||d||e||f\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"MailSite Express\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"MailSite Express\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"onsubmit=\\\\\\\"OpenExpress(document.ExpressLogin)\",\n \"is_equal\": true\n }, {\n \"label\": \"d\",\n \"feature\": \"Rockliffe systems, Inc.\",\n \"is_equal\": true\n }, {\n \"label\": \"e\",\n \"feature\": \"MailSite POP3 Server\",\n \"is_equal\": true\n }, {\n \"label\": \"f\",\n \"feature\": \"MailSite ESMTP Receiver\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Sierra-Uplink- Products\",\n \"logic\": \"(a&&b)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"UP-LINK\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"UP-LINK Systems, Inc.\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"FiberHome-\\u516c\\u53f8\\u4ea7\\u54c1\",\n \"logic\": \"(a&&b) ||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"FIBERHOME\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"FIBERHOME Systems, Inc.\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"scos_fx@fiberhome.com \",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"SmartLink-Company Products\",\n \"logic\": \"(a&&b)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Smartlink\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"Smartlink Network Systems LTD.\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"HUAWEI-CE6850-48S4Q-EI\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"CE6850-48S4Q-EI\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"H3C-CR19000\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"H3C CR19000\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"CNWAY-ILIMS\",\n \"logic\": \"a&&b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"src=\\\\\\\"/extjs/adapter/ext/ext-base-js\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"/js/AllPageFunction.js\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Wavlink-WiFi-Repeater\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"WiFi Repeater Web Server\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Juniper-DX\",\n \"logic\": \"a||b|| (c&&d)\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Juniper DX\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"\\\\\\\"\\\\\\\"\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"content=\\\\\\\"AdiMoney.Com Mobile Advertisement Network. \",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Siemens-SCALANCE-X\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"SCALANCE X Management\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"href=\\\\\\\"/doc/XSpecial.css\\\\\\\"\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Annea-reimbursement system\",\n \"logic\": \"a|| (b&& (c||d))\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"
Mibew Messenger\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Mac-OSX-Server\",\n \"logic\": \"a||b||c||d\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Mac OS X Server\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"page_footer_appversion\\\\\\\">Mac OS X Server\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"realm=\\\\\\\"Mac OS X Server\",\n \"is_equal\": true\n }, {\n \"label\": \"d\",\n \"feature\": \"realm=\\\\\\\"Mac OS X Server\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Ubiquiti-UNMS\",\n \"logic\": \"a&&b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"content=\\\\\\\"UNMS\\\\\\\"\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"unms\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Technicolor-TG582n\",\n \"logic\": \"a||b||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"var headertext = 'Technicolor TG582n'\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"var headertext = 'Technicolor TG582n'\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"Technicolor TG582n\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Mason\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"X-Powered-By: HTML::Mason\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"X-Powered-By: HTML::Mason\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"Mathopd\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Server: Mathopd\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"Server: Mathopd\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"McAfee-ePolicy-Orchestrator\",\n \"logic\": \"a||b||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"Server: Undefined\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"Server: Undefined\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"ePolicy Orchestrator\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"McAfee-Secure\",\n \"logic\": \"a\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"www.mcafeesecure.com/RatingVerify?ref=\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"MeetingPlaza\",\n \"logic\": \"a||b||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"MeetingPlaza HTTP Tunneling\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"InterSpace HTTP Tunneling\",\n \"is_equal\": true\n }, {\n \"label\": \"c\",\n \"feature\": \"InterSpace HTTP Tunneling\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"meitrack-products\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"action=\\\\\\\"trackerlogin.aspx\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"_TrackerMain_GTVTSeries\",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"E-FAX\",\n \"logic\": \"a||b\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"- E-Fax - Login\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"content=\\\\\\\"E-FAX \",\n \"is_equal\": true\n }]\n}, {\n \"name\": \"AvantFAX-ICTFax\",\n \"logic\": \"a||b||c\",\n \"rule\": [{\n \"label\": \"a\",\n \"feature\": \"- ICTFax - Login\",\n \"is_equal\": true\n }, {\n \"label\": \"b\",\n \"feature\": \"\\\\\\\"ICTFax\",\n\\u6b22\\u8fce\\u4f7f\\u7528VPN\\u5b89\\u5168\\u7f51\\u5173

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It is written in PHP and uses a MySQL database server.\",\r\n \"website\": \"https://www.vbulletin.com\",\r\n \"cpe\": \"cpe:2.3:a:vbulletin:vbulletin:*:*:*:*:*:*:*:*\"\r\n },\r\n \"vcita\": {\r\n \"cats\": [\r\n 53,\r\n 72\r\n ],\r\n \"js\": [\r\n \"livesite.btcheckout\",\r\n \"vcita\"\r\n ],\r\n \"scriptSrc\": [\r\n \"widgets\\\\.vcdnita\\\\.com/\",\r\n \"www\\\\.vcita\\\\.com/widgets/\"\r\n ],\r\n \"description\": \"vcita is an all-in-one customer service and business management software designed for service providers.\",\r\n \"website\": \"https://www.vcita.com\"\r\n },\r\n \"vibecommerce\": {\r\n \"cats\": [\r\n 6\r\n ],\r\n \"meta\": {\r\n \"designer\": [\r\n \"vibecommerce\"\r\n ],\r\n \"generator\": [\r\n \"vibecommerce\"\r\n ]\r\n },\r\n \"implies\": [\r\n \"PHP\"\r\n ],\r\n \"website\": \"https://vibecommerce.com.br\"\r\n },\r\n \"vxe-table\": {\r\n \"cats\": [\r\n 59\r\n ],\r\n \"description\": \"vxe-table is a Vue.js based PC form component, support add, delete, change, 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},\r\n \"wpBakery\": {\r\n \"cats\": [\r\n 51,\r\n 87\r\n ],\r\n \"meta\": {\r\n \"generator\": [\r\n \"wpbakery\"\r\n ]\r\n },\r\n \"implies\": [\r\n \"PHP\"\r\n ],\r\n \"description\": \"WPBakery is a drag and drop visual page builder plugin for WordPress.\",\r\n \"website\": \"https://wpbakery.com\"\r\n },\r\n \"wpCache\": {\r\n \"cats\": [\r\n 23,\r\n 87\r\n ],\r\n \"headers\": {\r\n \"x-powered-by\": \"wpcache(?:/([\\\\d.]+))?\\\\;version:\\\\1\"\r\n },\r\n \"html\": [\r\n \"\\u003c!--[^\\u003e]+wpcache\"\r\n ],\r\n \"meta\": {\r\n \"generator\": [\r\n \"wpcache\"\r\n ],\r\n \"keywords\": [\r\n \"wpcache\"\r\n ]\r\n },\r\n \"implies\": [\r\n \"PHP\"\r\n ],\r\n \"description\": \"WPCache is a static caching plugin for WordPress.\",\r\n \"website\": \"https://wpcache.co\"\r\n },\r\n \"xCharts\": {\r\n \"cats\": [\r\n 25\r\n ],\r\n \"js\": [\r\n \"xchart\"\r\n ],\r\n \"html\": [\r\n \"\\u003clink[^\\u003e]* href=\\\"[^\\\"]*xcharts(?:\\\\.min)?\\\\.css\"\r\n ],\r\n \"scriptSrc\": [\r\n \"xcharts\\\\.js\"\r\n ],\r\n \"implies\": [\r\n \"D3\"\r\n ],\r\n \"website\": \"https://tenxer.github.io/xcharts/\"\r\n },\r\n \"xtCommerce\": {\r\n \"cats\": [\r\n 6\r\n ],\r\n \"html\": [\r\n \"\\u003cdiv class=\\\"copyright\\\"\\u003e[^\\u003c]+\\u003ca[^\\u003e]+\\u003ext:commerce\"\r\n ],\r\n \"meta\": {\r\n \"generator\": [\r\n \"xt:commerce\"\r\n ]\r\n },\r\n \"website\": \"https://www.xt-commerce.com\"\r\n },\r\n \"yellow.ai\": {\r\n \"cats\": [\r\n 52\r\n ],\r\n \"js\": [\r\n \"ymconfig\"\r\n ],\r\n \"scriptSrc\": [\r\n \"cdn\\\\.yellowmessenger\\\\.com\"\r\n ],\r\n \"description\": \"yellow.ai provides chatbot and automation services.\",\r\n \"website\": \"https://yellow.ai/\"\r\n }\r\n }\r\n}" }, { "path": "backend/manage.py", "content": "#!/usr/bin/env python\n\"\"\"Django's command-line utility for administrative tasks.\"\"\"\nimport os\nimport sys\n\n\ndef main():\n \"\"\"Run administrative tasks.\"\"\"\n os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\n try:\n from django.core.management import execute_from_command_line\n except ImportError as exc:\n raise ImportError(\n \"Couldn't import Django. Are you sure it's installed and \"\n \"available on your PYTHONPATH environment variable? Did you \"\n \"forget to activate a virtual environment?\"\n ) from exc\n execute_from_command_line(sys.argv)\n\n\nif __name__ == '__main__':\n main()\n" }, { "path": "backend/pyproject.toml", "content": "[tool.pytest.ini_options]\nDJANGO_SETTINGS_MODULE = \"config.settings\"\npython_files = [\"test_*.py\", \"*_test.py\"]\npython_classes = [\"Test*\"]\npython_functions = [\"test_*\"]\ntestpaths = [\"apps\"]\naddopts = \"-v --reuse-db\"\n\n[tool.pylint]\ndjango-settings-module = \"config.settings\"\nload-plugins = \"pylint_django\"\n\n[tool.pylint.messages_control]\ndisable = [\n \"missing-docstring\",\n \"invalid-name\",\n \"too-few-public-methods\",\n \"no-member\",\n \"import-error\",\n \"no-name-in-module\",\n \"wrong-import-position\", # 允许函数内导入（防循环依赖）\n \"import-outside-toplevel\", # 同上\n \"too-many-arguments\", # Django 视图/服务方法参数常超过5个\n \"too-many-locals\", # 复杂业务逻辑局部变量多\n \"duplicate-code\", # 某些模式代码相似是正常的\n]\n\n[tool.pylint.format]\nmax-line-length = 120\n\n[tool.pylint.basic]\ngood-names = [\n \"i\",\n \"j\",\n \"k\",\n \"ex\",\n \"Run\",\n \"_\",\n \"id\",\n \"pk\",\n \"ip\",\n \"url\",\n \"db\",\n \"qs\",\n]\n" }, { "path": "backend/requirements.txt", "content": "# Django 核心\nDjango==5.2.7\ndjangorestframework==3.15.2\ndjangorestframework-camel-case==1.4.2\npsycopg2-binary==2.9.10\n\n# API 文档\ndrf-yasg==1.21.7\nsetuptools==75.6.0\n\n# CORS 支持\ndjango-cors-headers==4.3.1\n\n# 过滤器支持\ndjango-filter==24.3\n\n# 环境变量管理\npython-dotenv==1.0.1\n\n# 异步任务和工作流编排\nprefect==3.4.25\nfastapi==0.115.5 # 锁定版本，0.123+ 与 Prefect 不兼容\nredis==5.0.3 # 可选：用于缓存\nAPScheduler>=3.10.0 # 定时任务调度器\n\n# WebSocket 支持\nchannels==4.0.0\nchannels-redis==4.2.0\nuvicorn[standard]==0.30.1\n\n# SSH & 远程部署\nparamiko>=3.0.0\n\n# Docker 管理\ndocker>=6.0.0 # Python Docker SDK\npackaging>=21.0 # 版本比较\n\n# 测试框架\npytest==8.0.0\npytest-django==4.7.0\nhypothesis>=6.100.0 # 属性测试框架\n\n# 工具库\npython-dateutil==2.9.0\nPillow>=10.0.0 # 图像处理（截图服务）\nplaywright>=1.40.0 # 浏览器自动化（截图服务）\npytz==2024.1\nvalidators==0.22.0\nPyYAML==6.0.1\nruamel.yaml>=0.18.0 # 保留注释的 YAML 解析\ncolorlog==6.8.2 # 彩色日志输出\npython-json-logger==2.0.7 # JSON 结构化日志\nJinja2>=3.1.6 # 命令模板引擎\ncroniter>=2.0.0 # Cron 表达式解析（定时扫描）\npsutil>=5.9.0\n\n# 缓存\ncachetools>=5.3.0\n" }, { "path": "backend/resources/resolvers.txt", "content": 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1.0.162.2\n3.214.203.108\n3.20.144.103\n3.14.242.170\n3.139.141.82\n3.136.88.129\n27.72.58.161\n27.7.175.204\n27.54.166.204\n27.33.60.66\n27.32.252.176\n27.32.174.151\n27.174.14.71\n27.174.13.64\n27.174.10.206\n27.160.23.132\n27.147.48.26\n27.147.164.86\n27.135.204.65\n27.131.191.90\n27.131.162.193\n27.126.4.14\n27.126.155.4\n27.126.155.1\n27.124.6.225\n27.122.254.83\n27.113.241.18\n27.111.32.42\n27.110.245.97\n27.110.239.50\n27.110.232.161\n27.110.231.42\n27.110.185.10\n27.110.176.225\n27.110.163.162\n27.110.152.250\n27.110.148.225\n27.110.146.233\n27.110.139.78\n24.56.102.20\n24.56.100.20\n24.48.255.252\n24.39.127.26\n24.39.107.174\n24.37.245.42\n24.32.73.75\n24.244.219.147\n24.237.135.25\n24.230.77.131\n24.209.241.222\n24.182.239.198\n24.182.14.205\n24.172.82.94\n24.172.34.250\n24.152.48.66\n24.152.37.40\n24.149.93.51\n24.124.66.35\n24.123.203.111\n24.119.69.70\n24.116.92.101\n24.116.195.164\n24.105.237.170\n24.104.140.255\n24.104.140.229\n24.104.140.222\n24.104.140.212\n24.104.140.206\n24.104.140.201\n24.100.136.104\n23.92.212.178\n23.81.140.234\n23.59.249.67\n23.59.249.61\n23.59.249.226\n23.59.248.248\n23.59.248.226\n23.59.248.171\n23.59.248.145\n23.59.248.128\n23.56.161.88\n23.56.161.53\n23.56.161.5\n23.56.161.255\n23.56.161.246\n23.56.161.240\n23.56.161.23\n23.56.161.213\n23.56.161.18\n23.56.161.167\n23.56.161.147\n23.56.161.13\n23.56.161.12\n23.56.161.107\n23.56.160.79\n23.56.160.36\n23.56.160.252\n23.56.160.232\n23.56.160.213\n23.56.160.195\n23.56.160.15\n23.56.160.14\n23.56.160.116\n23.31.51.242\n23.30.232.82\n23.253.230.65\n23.25.183.97\n23.246.82.186\n23.242.22.236\n23.216.53.97\n23.216.53.83\n23.216.53.70\n23.216.53.58\n23.216.53.46\n23.216.53.34\n23.216.53.230\n23.216.53.229\n23.216.53.222\n23.216.53.194\n23.216.53.155\n23.216.53.152\n23.216.53.151\n23.216.53.15\n23.216.53.14\n23.216.53.128\n23.216.53.106\n23.216.52.80\n23.216.52.42\n23.216.52.34\n23.216.52.29\n23.216.52.228\n23.216.52.188\n23.216.52.163\n23.216.52.159\n23.216.52.154\n23.216.52.138\n23.216.52.128\n23.216.52.127\n23.216.52.102\n23.189.48.79\n23.115.93.66\n23.115.125.217\n23.111.184.9\n223.6.6.82\n223.6.6.81\n223.6.6.72\n223.6.6.68\n223.6.6.6\n223.6.6.56\n223.6.6.48\n223.6.6.46\n223.6.6.43\n223.6.6.41\n223.6.6.34\n223.6.6.253\n223.6.6.245\n223.6.6.241\n223.6.6.237\n223.6.6.232\n223.6.6.204\n223.6.6.199\n223.6.6.198\n223.6.6.196\n223.6.6.195\n223.6.6.191\n223.6.6.184\n223.6.6.183\n223.6.6.171\n223.6.6.170\n223.6.6.17\n223.6.6.169\n223.6.6.151\n223.6.6.150\n223.6.6.147\n223.6.6.143\n223.6.6.141\n223.6.6.139\n223.6.6.133\n223.6.6.127\n223.6.6.0\n223.5.5.93\n223.5.5.91\n223.5.5.84\n223.5.5.82\n223.5.5.79\n223.5.5.78\n223.5.5.70\n223.5.5.64\n223.5.5.59\n223.5.5.51\n223.5.5.50\n223.5.5.5\n223.5.5.47\n223.5.5.45\n223.5.5.41\n223.5.5.4\n223.5.5.38\n223.5.5.31\n223.5.5.252\n223.5.5.248\n223.5.5.241\n223.5.5.231\n223.5.5.23\n223.5.5.228\n223.5.5.224\n223.5.5.219\n223.5.5.204\n223.5.5.203\n223.5.5.200\n223.5.5.190\n223.5.5.19\n223.5.5.187\n223.5.5.170\n223.5.5.17\n223.5.5.168\n223.5.5.163\n223.5.5.159\n223.5.5.157\n223.5.5.151\n223.5.5.15\n223.5.5.148\n223.5.5.136\n223.5.5.13\n223.5.5.129\n223.5.5.124\n223.5.5.123\n223.5.5.112\n223.5.5.111\n223.5.5.110\n223.5.5.0\n223.29.52.106\n223.255.176.196\n223.255.176.195\n223.25.232.2\n223.22.243.241\n223.197.185.46\n223.171.73.95\n222.99.168.132\n222.98.43.84\n222.98.187.134\n222.98.115.251\n222.98.115.219\n222.97.189.7\n222.255.237.207\n222.255.206.232\n222.255.167.61\n222.255.144.115\n222.253.48.106\n222.252.14.239\n222.239.76.18\n222.239.221.250\n222.239.110.51\n222.235.176.47\n222.231.63.77\n222.231.61.196\n222.230.138.105\n222.228.150.127\n222.151.203.57\n222.127.7.54\n222.127.61.166\n222.127.25.226\n222.127.168.25\n222.127.151.3\n222.127.140.178\n222.122.82.24\n222.122.21.3\n222.122.166.141\n222.122.149.60\n222.121.55.99\n222.119.29.168\n222.118.225.33\n222.110.103.39\n222.107.91.130\n222.106.70.250\n222.104.22.126\n222.104.139.4\n222.103.228.194\n222.101.9.213\n222.101.9.212\n221.186.19.122\n221.163.194.3\n221.163.155.133\n221.162.247.60\n221.162.19.50\n221.162.19.157\n221.159.225.51\n221.156.92.194\n221.154.98.205\n221.154.146.204\n221.151.144.34\n221.151.144.12\n221.150.72.183\n221.143.46.205\n221.143.46.154\n221.143.216.58\n221.143.20.131\n221.139.13.130\n221.132.89.147\n221.125.130.98\n220.90.96.3\n220.90.201.8\n220.88.49.223\n220.83.87.2\n220.81.64.1\n220.78.162.11\n220.77.228.2\n220.73.162.155\n220.73.162.132\n220.73.139.8\n220.245.192.186\n220.241.227.4\n220.158.164.243\n220.149.56.99\n220.135.28.237\n220.135.20.47\n220.135.105.31\n220.134.170.52\n220.133.235.235\n220.132.88.194\n220.132.221.129\n220.130.55.196\n220.130.130.141\n220.130.12.85\n220.130.12.22\n220.130.10.250\n220.125.183.29\n220.119.186.100\n220.117.241.194\n220.110.160.2\n219.87.164.152\n219.87.162.222\n219.85.163.52\n219.252.2.100\n219.252.1.100\n219.252.0.1\n219.250.36.130\n219.166.235.130\n219.166.16.122\n219.166.11.146\n219.166.109.122\n219.163.11.226\n219.127.86.6\n219.118.161.57\n219.117.237.252\n219.106.241.34\n219.103.63.145\n218.44.251.210\n218.44.234.170\n218.44.187.8\n218.38.136.62\n218.36.68.254\n218.32.222.5\n218.255.18.2\n218.236.85.1\n218.236.49.18\n218.236.241.132\n218.235.251.3\n218.235.251.2\n218.234.23.53\n218.234.19.131\n218.234.18.181\n218.223.34.93\n218.216.72.194\n218.208.115.68\n218.208.114.28\n218.189.82.194\n218.188.52.18\n218.188.223.182\n218.188.217.219\n218.188.210.196\n218.161.68.137\n218.161.40.163\n218.159.112.240\n218.159.112.239\n218.159.100.172\n218.158.8.12\n218.158.8.11\n218.156.163.51\n218.152.207.197\n218.151.83.209\n218.151.134.214\n218.149.84.50\n218.146.34.200\n218.146.255.235\n218.145.31.139\n218.145.31.132\n218.102.13.133\n217.97.139.128\n217.79.247.238\n217.79.18.121\n217.78.177.110\n217.76.33.82\n217.73.31.10\n217.7.81.136\n217.7.80.40\n217.7.63.1\n217.69.228.142\n217.69.169.25\n217.67.190.98\n217.67.184.254\n217.65.3.81\n217.64.148.33\n217.64.136.254\n217.40.46.142\n217.38.149.236\n217.33.153.162\n217.30.250.167\n217.30.163.159\n217.28.153.27\n217.27.219.122\n217.27.148.125\n217.27.123.226\n217.27.116.145\n217.27.116.144\n217.26.19.166\n217.26.171.146\n217.25.237.141\n217.25.228.98\n217.244.13.14\n217.24.190.106\n217.23.199.77\n217.23.146.60\n217.223.161.177\n217.22.164.126\n217.218.155.155\n217.218.127.127\n217.21.43.3\n217.196.23.122\n217.194.215.91\n217.194.213.253\n217.19.153.18\n217.182.200.38\n217.182.192.218\n217.182.192.123\n217.182.158.123\n217.182.137.224\n217.182.112.181\n217.18.206.22\n217.18.206.12\n217.174.14.101\n217.173.202.194\n217.170.128.27\n217.17.48.11\n217.17.41.146\n217.17.34.68\n217.17.34.10\n217.168.130.197\n217.164.255.37\n217.164.255.35\n217.160.70.42\n217.16.79.246\n217.150.58.17\n217.150.35.129\n217.15.202.106\n217.15.146.124\n217.145.86.12\n217.145.54.100\n217.145.49.185\n217.14.178.67\n217.14.143.18\n217.13.80.252\n217.13.211.2\n217.12.214.244\n217.119.160.99\n217.119.126.221\n217.119.121.146\n217.116.61.153\n217.114.181.99\n217.113.195.244\n217.113.125.26\n217.111.39.134\n217.111.148.201\n217.111.114.4\n217.109.45.177\n217.107.102.103\n217.100.187.236\n217.0.43.50\n216.98.4.252\n216.98.109.133\n216.85.168.28\n216.80.113.2\n216.75.21.70\n216.55.99.220\n216.55.100.220\n216.54.204.186\n216.47.224.66\n216.33.116.102\n216.27.175.2\n216.254.95.2\n216.250.141.137\n216.241.25.83\n216.239.34.40\n216.239.32.40\n216.238.98.60\n216.231.41.2\n216.229.0.25\n216.228.104.3\n216.222.152.16\n216.222.134.250\n216.218.31.74\n216.218.245.200\n216.218.215.117\n216.21.169.147\n216.21.129.22\n216.21.128.22\n216.207.95.191\n216.207.40.128\n216.199.54.9\n216.199.46.11\n216.197.192.203\n216.194.29.204\n216.194.28.69\n216.194.28.42\n216.194.28.33\n216.175.203.51\n216.171.253.13\n216.171.184.243\n216.170.153.146\n216.169.160.23\n216.169.160.2\n216.165.129.158\n216.165.129.157\n216.165.128.161\n216.160.246.151\n216.160.226.49\n216.16.136.146\n216.155.92.110\n216.155.91.251\n216.152.244.77\n216.146.36.36\n216.146.35.35\n216.137.13.22\n216.136.95.83\n216.136.95.82\n216.136.95.67\n216.136.95.35\n216.136.95.34\n216.136.95.3\n216.136.95.2\n216.136.95.19\n216.136.82.113\n216.136.33.82\n216.135.79.125\n216.135.79.118\n216.135.79.115\n216.135.0.10\n216.130.230.144\n216.126.220.4\n216.120.247.231\n216.12.255.2\n216.12.255.1\n216.12.254.250\n216.108.238.70\n213.91.195.139\n213.91.143.246\n213.90.6.14\n213.85.168.57\n213.85.143.246\n213.79.89.138\n213.76.155.132\n213.76.114.107\n213.74.223.74\n213.74.195.52\n213.73.3.164\n213.68.194.51\n213.6.77.30\n213.6.20.57\n213.59.128.41\n213.57.91.138\n213.5.71.47\n213.5.120.3\n213.4.82.7\n213.39.74.43\n213.34.140.206\n213.33.237.106\n213.33.158.134\n213.32.252.91\n213.3.42.193\n213.26.25.3\n213.251.61.42\n213.251.57.217\n213.251.48.193\n213.25.71.2\n213.249.20.207\n213.248.45.60\n213.246.55.57\n213.241.67.226\n213.241.37.244\n213.241.37.234\n213.240.24.242\n213.234.30.118\n213.234.17.74\n213.230.97.216\n213.230.91.58\n213.230.67.186\n213.230.125.148\n213.230.111.191\n213.230.108.161\n213.226.186.10\n213.226.11.210\n213.223.36.242\n213.222.25.130\n213.221.37.215\n213.217.16.106\n213.216.64.102\n213.214.30.78\n213.212.145.1\n213.211.50.2\n213.211.50.1\n213.211.33.58\n213.21.225.67\n213.208.183.59\n213.207.46.220\n213.207.46.218\n213.207.187.249\n213.207.158.201\n213.207.141.97\n213.207.132.189\n213.207.131.97\n213.205.80.82\n213.202.255.96\n213.201.78.48\n213.200.218.61\n213.200.211.110\n213.194.123.26\n213.193.122.202\n213.191.222.21\n213.180.53.103\n213.180.182.246\n213.178.54.62\n213.176.242.166\n213.171.205.61\n213.171.192.34\n213.166.247.100\n213.163.127.229\n213.163.120.82\n213.16.110.117\n213.16.110.112\n213.157.57.133\n213.157.50.130\n213.156.44.184\n213.155.160.240\n213.154.80.203\n213.154.18.59\n213.153.223.21\n213.149.177.25\n213.145.3.44\n213.145.151.190\n213.145.137.102\n213.142.215.190\n213.140.41.194\n213.14.11.162\n213.136.88.86\n213.136.84.5\n213.136.75.64\n213.136.71.68\n213.136.36.155\n213.133.91.249\n213.133.116.14\n213.131.40.230\n213.129.114.98\n213.124.39.21\n213.115.174.71\n213.111.121.178\n213.108.174.218\n213.108.172.182\n213.108.160.205\n212.98.146.97\n212.97.32.2\n212.97.129.35\n212.97.129.34\n212.96.1.70\n212.93.29.112\n212.93.121.72\n212.93.121.60\n212.93.118.21\n212.93.117.80\n212.93.111.192\n212.92.200.165\n212.91.246.11\n212.87.243.194\n212.87.243.120\n212.83.168.230\n212.78.216.109\n212.74.192.40\n212.73.221.107\n212.73.221.104\n212.73.198.88\n212.73.140.66\n212.73.138.38\n212.73.128.182\n212.72.130.21\n212.72.130.20\n212.70.156.160\n212.67.71.84\n212.65.208.193\n212.58.12.245\n212.56.212.194\n212.56.209.18\n212.5.221.202\n212.5.128.228\n212.48.52.94\n212.48.153.245\n212.48.152.160\n212.47.12.21\n212.46.205.34\n212.44.128.18\n212.41.1.87\n212.4.138.238\n212.4.121.10\n212.39.106.154\n212.38.26.132\n212.38.2.130\n212.34.245.179\n212.34.232.70\n212.33.190.215\n212.32.252.131\n212.3.223.82\n212.3.154.18\n212.3.131.158\n212.3.101.130\n212.26.7.10\n212.26.144.58\n212.251.32.202\n212.247.80.50\n212.247.176.202\n212.247.102.181\n212.244.210.91\n212.237.127.127\n212.237.125.216\n212.236.18.126\n212.233.125.20\n212.230.255.129\n212.230.255.1\n212.225.218.80\n212.224.71.71\n212.220.115.146\n212.22.128.20\n212.210.2.2\n212.210.2.15\n212.210.2.14\n212.203.109.67\n212.200.34.37\n212.200.169.182\n212.200.115.156\n212.2.230.69\n212.199.114.12\n212.199.114.11\n212.191.1.46\n212.186.200.123\n212.185.196.10\n212.185.180.3\n212.184.191.2\n212.184.191.193\n212.184.191.100\n212.182.95.26\n212.160.242.185\n212.160.162.67\n212.160.147.19\n212.154.131.115\n212.150.211.99\n212.150.211.114\n212.146.97.154\n212.143.39.243\n212.14.18.110\n212.139.214.147\n212.13.82.7\n212.126.102.138\n212.124.35.25\n212.122.53.126\n212.122.52.11\n212.122.4.2\n212.121.229.233\n212.12.28.30\n212.12.28.126\n212.12.27.29\n212.12.18.113\n212.12.15.128\n212.12.14.122\n212.118.12.22\n212.118.0.2\n212.118.0.1\n212.117.148.54\n212.116.122.201\n212.113.0.3\n212.112.180.131\n212.111.192.246\n212.105.78.7\n212.105.78.6\n212.105.78.3\n212.104.43.3\n212.104.43.2\n212.102.46.89\n212.102.46.84\n212.100.159.226\n212.0.208.189\n211.9.37.1\n211.76.112.60\n211.76.112.59\n211.75.76.173\n211.75.48.98\n211.75.165.163\n211.75.15.177\n211.75.139.191\n211.72.124.193\n211.63.16.5\n211.62.56.125\n211.60.96.137\n211.60.199.66\n211.59.242.36\n211.54.182.7\n211.53.64.18\n211.53.40.133\n211.51.150.131\n211.5.228.210\n211.5.228.209\n211.5.209.194\n211.47.188.226\n211.46.120.1\n211.44.250.215\n211.41.128.71\n211.40.52.5\n211.40.52.2\n211.35.76.100\n211.35.20.27\n211.34.118.2\n211.33.136.94\n211.33.121.235\n211.254.92.254\n211.252.106.130\n211.251.24.241\n211.245.239.40\n211.24.100.198\n211.239.127.57\n211.236.20.2\n211.234.111.74\n211.233.65.13\n211.233.50.4\n211.233.50.3\n211.232.158.254\n211.232.116.3\n211.232.110.114\n211.23.246.116\n211.23.233.180\n211.23.144.240\n211.228.195.162\n211.228.100.115\n211.226.88.54\n211.226.180.60\n211.226.143.43\n211.223.193.200\n211.222.204.5\n211.220.224.12\n211.220.194.152\n211.22.52.82\n211.22.146.115\n211.219.86.1\n211.219.83.226\n211.217.195.226\n211.215.23.77\n211.21.220.171\n211.21.138.151\n211.21.133.123\n211.203.71.5\n211.203.18.17\n211.202.2.28\n211.20.146.109\n211.199.149.131\n211.198.50.2\n211.194.164.158\n211.194.140.3\n211.193.204.3\n211.193.134.134\n211.193.106.59\n211.192.139.216\n211.188.180.22\n211.188.180.21\n211.184.196.130\n211.182.233.3\n211.182.233.2\n211.181.222.135\n211.177.101.116\n211.170.243.20\n211.170.122.12\n211.169.2.100\n211.129.155.175\n211.126.202.126\n211.123.77.97\n211.121.135.181\n211.12.254.10\n211.119.47.110\n211.116.138.5\n211.115.66.175\n211.115.194.5\n211.115.194.4\n211.115.194.3\n211.115.194.2\n211.115.194.1\n211.114.53.85\n211.114.145.7\n211.111.172.72\n211.111.172.71\n211.110.10.36\n211.105.7.5\n211.104.6.1\n211.10.168.1\n210.99.77.210\n210.99.180.194\n210.98.146.2\n210.94.0.73\n210.94.0.7\n210.93.0.2\n210.91.32.187\n210.91.32.171\n210.90.197.1\n210.87.253.60\n210.87.250.156\n210.87.250.154\n210.8.28.194\n210.79.34.137\n210.61.97.241\n210.61.48.168\n210.59.209.19\n210.56.14.146\n210.5.98.46\n210.5.98.130\n210.5.92.6\n210.5.89.193\n210.5.87.146\n210.5.72.33\n210.5.72.30\n210.5.72.24\n210.5.72.21\n210.5.72.2\n210.5.72.12\n210.5.67.241\n210.5.64.10\n210.5.56.146\n210.5.56.145\n210.5.125.6\n210.5.124.161\n210.5.104.28\n210.5.101.242\n210.3.252.27\n210.3.239.131\n210.3.143.206\n210.3.138.237\n210.254.50.20\n210.251.126.97\n210.245.87.16\n210.245.8.9\n210.245.31.102\n210.245.21.123\n210.245.21.102\n210.245.111.195\n210.243.121.155\n210.233.117.1\n210.230.193.68\n210.230.193.66\n210.23.129.34\n210.228.80.253\n210.224.86.126\n210.222.176.66\n210.220.163.82\n210.220.16.6\n210.220.16.2\n210.219.173.18\n210.216.217.254\n210.213.75.161\n210.213.74.41\n210.213.74.129\n210.213.65.118\n210.213.242.242\n210.213.218.233\n210.213.213.206\n210.213.192.241\n210.213.126.161\n210.212.210.91\n210.211.20.225\n210.211.16.230\n210.207.236.2\n210.206.183.39\n210.206.162.2\n210.205.247.4\n210.2.138.68\n210.196.68.174\n210.196.251.66\n210.193.195.118\n210.190.25.80\n210.190.105.66\n210.19.157.131\n210.187.50.146\n210.181.4.25\n210.181.1.24\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200\n204.191.10.5\n204.186.80.193\n204.156.192.68\n204.15.148.186\n204.131.92.115\n204.131.88.138\n204.131.229.119\n204.116.57.2\n204.111.39.9\n204.106.240.4\n203.96.180.18\n203.89.132.4\n203.86.200.253\n203.85.128.252\n203.82.42.180\n203.8.201.11\n203.8.201.10\n203.78.194.179\n203.69.232.60\n203.66.57.148\n203.59.131.91\n203.54.212.126\n203.52.58.169\n203.52.58.161\n203.50.2.71\n203.47.150.183\n203.47.150.176\n203.39.3.133\n203.38.224.193\n203.36.134.238\n203.253.64.1\n203.253.179.3\n203.253.179.2\n203.251.201.1\n203.251.183.5\n203.249.171.2\n203.249.161.2\n203.249.112.101\n203.248.252.2\n203.248.116.42\n203.246.40.2\n203.242.200.6\n203.242.200.5\n203.240.193.11\n203.239.133.223\n203.239.131.1\n203.239.130.3\n203.239.130.1\n203.236.20.11\n203.236.123.10\n203.236.120.80\n203.236.1.12\n203.232.27.11\n203.232.186.58\n203.232.166.2\n203.232.148.3\n203.230.220.2\n203.229.206.20\n203.228.22.223\n203.227.168.2\n203.225.255.11\n203.225.255.10\n203.215.186.37\n203.215.181.201\n203.213.96.4\n203.212.200.209\n203.209.181.154\n203.202.248.5\n203.201.60.5\n203.198.214.41\n203.198.167.39\n203.198.161.89\n203.190.43.46\n203.190.43.107\n203.190.27.235\n203.190.27.234\n203.190.254.3\n203.188.242.211\n203.186.102.170\n203.178.136.36\n203.177.88.250\n203.177.84.2\n203.177.215.1\n203.177.190.130\n203.177.0.158\n203.176.237.36\n203.176.102.68\n203.174.48.83\n203.173.163.89\n203.169.48.8\n203.169.4.1\n203.167.92.254\n203.162.39.66\n203.159.77.77\n203.158.9.5\n203.158.15.67\n203.154.91.1\n203.154.62.1\n203.154.58.1\n203.154.177.8\n203.153.41.205\n203.151.59.20\n203.150.48.128\n203.150.37.11\n203.150.37.10\n203.150.199.17\n203.150.197.136\n203.150.167.19\n203.150.128.133\n203.147.94.71\n203.147.6.30\n203.144.139.244\n203.144.13.250\n203.141.198.193\n203.135.31.114\n203.131.211.181\n203.129.31.67\n203.129.25.39\n203.128.16.2\n203.127.160.67\n203.127.160.66\n203.127.112.132\n203.126.30.39\n203.126.118.38\n203.125.83.122\n203.125.208.78\n203.121.145.77\n203.119.8.106\n203.115.130.74\n203.114.39.110\n203.113.148.12\n203.113.135.28\n203.113.135.26\n202.90.137.75\n202.89.125.8\n202.87.214.253\n202.87.213.253\n202.86.8.100\n202.86.149.20\n202.86.149.18\n202.84.37.99\n202.84.37.100\n202.83.175.188\n202.83.175.187\n202.83.175.182\n202.82.66.142\n202.82.121.113\n202.80.247.34\n202.78.224.130\n202.78.224.129\n202.73.30.98\n202.72.201.46\n202.70.77.101\n202.70.76.13\n202.69.50.49\n202.69.50.161\n202.67.10.108\n202.64.161.118\n202.63.197.114\n202.62.77.2\n202.62.222.222\n202.62.222.220\n202.61.251.9\n202.60.193.137\n202.6.96.4\n202.58.18.18\n202.57.32.1\n202.55.176.11\n202.55.176.10\n202.5.200.8\n202.5.192.9\n202.46.34.75\n202.46.34.74\n202.46.33.250\n202.44.52.1\n202.43.108.1\n202.41.213.33\n202.30.143.44\n202.30.143.41\n202.30.143.11\n202.30.0.11\n202.3.229.2\n202.29.9.46\n202.29.53.4\n202.29.51.130\n202.29.33.51\n202.29.242.222\n202.29.240.110\n202.29.239.134\n202.29.236.57\n202.29.232.113\n202.29.228.142\n202.29.225.26\n202.29.22.4\n202.29.219.154\n202.29.218.142\n202.29.218.138\n202.29.216.54\n202.29.214.86\n202.29.214.22\n202.29.173.61\n202.28.66.3\n202.248.37.74\n202.248.20.133\n202.248.175.138\n202.238.55.204\n202.233.9.234\n202.229.255.8\n202.219.63.253\n202.213.33.133\n202.210.190.99\n202.188.124.58\n202.186.1.57\n202.184.80.21\n202.183.195.162\n202.183.153.140\n202.182.0.2\n202.182.0.1\n202.181.242.131\n202.181.233.243\n202.181.178.163\n202.175.86.206\n202.175.66.122\n202.175.45.2\n202.175.113.124\n202.173.208.2\n202.173.208.1\n202.166.161.107\n202.165.94.226\n202.164.153.87\n202.164.153.108\n202.164.150.220\n202.164.140.95\n202.164.140.93\n202.164.140.88\n202.164.140.67\n202.164.140.31\n202.164.140.203\n202.163.110.163\n202.157.177.4\n202.155.222.251\n202.155.202.75\n202.155.197.230\n202.153.110.47\n202.151.81.209\n202.149.205.59\n202.149.205.15\n202.149.204.207\n202.146.34.251\n202.143.118.53\n202.142.189.98\n202.142.179.66\n202.142.133.126\n202.14.14.99\n202.14.14.97\n202.138.73.149\n202.136.180.57\n202.136.120.187\n202.133.101.116\n202.131.73.38\n202.130.97.66\n202.130.97.65\n202.129.59.69\n202.129.207.29\n202.129.207.28\n202.129.206.237\n202.129.196.242\n202.129.1.186\n202.129.0.27\n202.126.100.157\n202.125.84.197\n202.124.192.10\n202.124.128.3\n202.123.179.205\n201.96.47.101\n201.96.27.129\n201.76.162.156\n201.76.161.162\n201.6.254.155\n201.54.224.134\n201.48.9.5\n201.48.9.4\n201.253.120.219\n201.251.135.168\n201.251.135.167\n201.247.112.236\n201.238.243.245\n201.238.128.199\n201.234.210.179\n201.234.186.234\n201.234.186.225\n201.234.138.252\n201.229.68.14\n201.222.53.130\n201.222.50.30\n201.219.218.130\n201.219.193.1\n201.219.154.75\n201.218.223.138\n201.218.219.210\n201.218.125.251\n201.217.57.148\n201.216.230.100\n201.21.195.129\n201.200.130.36\n201.200.130.35\n201.194.193.31\n201.190.178.156\n201.190.11.254\n201.184.60.178\n201.184.237.218\n201.184.225.210\n201.184.224.50\n201.184.187.98\n201.184.180.58\n201.184.175.242\n201.184.167.2\n201.184.126.218\n201.182.70.106\n201.182.66.37\n201.182.22.253\n201.174.80.34\n201.174.80.178\n201.174.235.68\n201.171.254.115\n201.170.249.229\n201.165.54.242\n201.164.60.34\n201.164.154.202\n201.163.94.65\n201.163.81.90\n201.16.253.25\n201.16.214.164\n201.156.1.226\n201.151.40.54\n201.151.196.110\n201.151.196.107\n201.150.35.124\n201.149.94.61\n201.148.95.234\n201.148.17.116\n201.148.17.110\n201.148.107.70\n201.148.107.14\n201.147.242.124\n201.147.242.119\n201.144.40.97\n201.143.181.110\n201.140.157.33\n201.140.114.161\n201.132.162.254\n201.130.73.234\n201.101.2.38\n200.95.184.33\n200.95.184.22\n200.95.144.3\n200.94.26.115\n200.94.26.114\n200.94.21.29\n200.94.156.193\n200.92.202.26\n200.91.34.20\n200.91.28.35\n200.9.155.203\n200.89.142.74\n200.89.134.202\n200.85.7.28\n200.85.61.90\n200.85.61.34\n200.85.39.94\n200.80.232.12\n200.80.203.75\n200.78.242.11\n200.76.52.60\n200.76.5.147\n200.75.8.110\n200.74.203.116\n200.73.113.158\n200.69.79.50\n200.69.226.98\n200.69.212.177\n200.68.46.21\n200.62.147.66\n200.6.253.74\n200.58.84.94\n200.58.182.186\n200.58.180.50\n200.57.7.61\n200.56.98.145\n200.56.98.113\n200.56.224.11\n200.56.117.25\n200.55.59.102\n200.55.59.101\n200.55.248.253\n200.54.9.138\n200.54.51.6\n200.54.22.74\n200.52.80.60\n200.5.90.102\n200.5.119.178\n200.5.115.26\n200.49.1.8\n200.45.14.178\n200.44.190.134\n200.41.174.20\n200.41.102.254\n200.39.23.4\n200.37.71.3\n200.37.203.90\n200.35.94.41\n200.35.79.41\n200.35.110.9\n200.33.3.123\n200.29.255.3\n200.29.255.2\n200.29.109.112\n200.29.108.64\n200.25.254.134\n200.248.178.54\n200.24.131.97\n200.229.252.65\n200.229.252.196\n200.229.252.171\n200.229.252.17\n200.221.11.101\n200.221.11.100\n200.219.224.172\n200.214.186.3\n200.21.227.130\n200.207.143.93\n200.201.191.91\n200.2.116.245\n200.195.170.186\n200.195.154.122\n200.19.203.1\n200.186.194.135\n200.186.1.135\n200.182.63.96\n200.171.40.210\n200.169.8.1\n200.169.2.2\n200.150.103.60\n200.142.106.130\n200.125.171.220\n200.125.171.219\n200.125.171.171\n200.125.171.170\n200.125.171.117\n200.124.124.190\n200.123.208.126\n200.12.251.226\n200.119.222.242\n200.116.231.27\n200.114.96.11\n200.114.113.67\n200.113.10.155\n200.112.143.5\n200.111.82.197\n200.111.47.43\n200.111.143.146\n200.110.219.225\n200.110.219.162\n200.110.168.42\n200.11.52.202\n200.11.138.12\n200.11.138.11\n200.108.46.242\n200.108.139.254\n200.108.131.206\n200.106.167.196\n200.106.167.195\n200.105.96.57\n200.105.192.6\n200.10.231.110\n200.10.221.16\n200.10.156.62\n200.1.104.36\n200.1.104.35\n20.93.144.220\n20.92.135.165\n20.71.128.65\n20.65.24.202\n20.46.112.146\n20.44.248.67\n20.44.201.37\n20.43.154.54\n20.38.170.198\n20.36.30.173\n20.242.194.111\n20.220.73.158\n20.212.94.189\n20.203.40.214\n20.203.17.58\n20.193.27.225\n20.14.83.169\n20.112.30.229\n20.106.145.8\n2.85.181.242\n2.78.57.194\n2.63.220.22\n2.63.188.10\n2.63.175.22\n2.60.245.18\n2.60.117.118\n2.59.241.54\n2.59.241.250\n2.59.241.23\n2.59.135.250\n2.56.220.2\n2.56.182.37\n2.55.72.107\n2.55.127.105\n2.52.252.252\n2.47.138.139\n2.40.63.222\n2.40.45.218\n2.40.119.162\n2.32.175.178\n2.229.72.225\n2.229.16.101\n2.207.170.66\n2.189.44.44\n2.188.21.130\n2.136.93.224\n2.136.37.48\n2.119.131.34\n2.105.69.220\n199.88.158.1\n199.85.127.30\n199.85.127.20\n199.85.127.10\n199.85.126.30\n199.85.126.20\n199.85.126.10\n199.76.39.72\n199.7.69.99\n199.7.69.98\n199.7.69.96\n199.7.69.94\n199.7.69.93\n199.7.69.91\n199.7.69.90\n199.7.69.9\n199.7.69.88\n199.7.69.87\n199.7.69.85\n199.7.69.83\n199.7.69.82\n199.7.69.81\n199.7.69.8\n199.7.69.79\n199.7.69.78\n199.7.69.73\n199.7.69.72\n199.7.69.71\n199.7.69.7\n199.7.69.68\n199.7.69.66\n199.7.69.65\n199.7.69.64\n199.7.69.62\n199.7.69.6\n199.7.69.58\n199.7.69.56\n199.7.69.54\n199.7.69.53\n199.7.69.49\n199.7.69.46\n199.7.69.45\n199.7.69.44\n199.7.69.43\n199.7.69.36\n199.7.69.34\n199.7.69.32\n199.7.69.31\n199.7.69.3\n199.7.69.29\n199.7.69.26\n199.7.69.254\n199.7.69.251\n199.7.69.250\n199.7.69.25\n199.7.69.249\n199.7.69.248\n199.7.69.246\n199.7.69.243\n199.7.69.242\n199.7.69.24\n199.7.69.239\n199.7.69.238\n199.7.69.234\n199.7.69.231\n199.7.69.230\n199.7.69.229\n199.7.69.226\n199.7.69.225\n199.7.69.221\n199.7.69.214\n199.7.69.213\n199.7.69.212\n199.7.69.210\n199.7.69.208\n199.7.69.201\n199.7.69.200\n199.7.69.20\n199.7.69.2\n199.7.69.198\n199.7.69.189\n199.7.69.188\n199.7.69.184\n199.7.69.181\n199.7.69.179\n199.7.69.178\n199.7.69.176\n199.7.69.174\n199.7.69.171\n199.7.69.170\n199.7.69.17\n199.7.69.167\n199.7.69.164\n199.7.69.162\n199.7.69.161\n199.7.69.160\n199.7.69.16\n199.7.69.159\n199.7.69.156\n199.7.69.154\n199.7.69.151\n199.7.69.15\n199.7.69.147\n199.7.69.145\n199.7.69.144\n199.7.69.143\n199.7.69.141\n199.7.69.140\n199.7.69.139\n199.7.69.137\n199.7.69.136\n199.7.69.134\n199.7.69.133\n199.7.69.131\n199.7.69.13\n199.7.69.126\n199.7.69.125\n199.7.69.124\n199.7.69.123\n199.7.69.121\n199.7.69.12\n199.7.69.119\n199.7.69.117\n199.7.69.115\n199.7.69.113\n199.7.69.112\n199.7.69.109\n199.7.69.108\n199.7.69.106\n199.7.69.103\n199.7.69.100\n199.7.69.10\n199.7.69.1\n199.7.68.99\n199.7.68.97\n199.7.68.93\n199.7.68.92\n199.7.68.91\n199.7.68.9\n199.7.68.89\n199.7.68.88\n19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9.250.91\n196.179.250.89\n196.179.250.50\n196.179.250.11\n196.179.250.10\n196.179.196.177\n196.178.99.16\n196.178.97.91\n196.178.97.85\n196.178.97.84\n196.178.97.52\n196.178.97.42\n196.178.97.250\n196.178.97.193\n196.178.97.16\n196.178.100.224\n196.15.211.117\n196.13.243.20\n196.13.158.51\n196.13.141.10\n195.99.66.220\n195.98.85.66\n195.97.74.14\n195.96.250.194\n195.93.149.199\n195.90.183.90\n195.9.94.122\n195.9.190.22\n195.9.166.86\n195.88.74.2\n195.88.223.73\n195.80.119.99\n195.80.119.101\n195.70.113.203\n195.69.65.98\n195.69.65.1\n195.69.217.130\n195.68.174.244\n195.63.61.189\n195.63.103.144\n195.62.19.125\n195.62.19.119\n195.60.71.123\n195.46.7.225\n195.46.39.40\n195.46.39.39\n195.46.39.151\n195.46.39.103\n195.46.20.65\n195.43.12.163\n195.4.138.12\n195.34.234.228\n195.34.193.16\n195.3.204.225\n195.3.169.67\n195.3.135.101\n195.29.76.12\n195.27.1.1\n195.251.19.1\n195.250.72.134\n195.250.39.16\n195.25.89.202\n195.248.65.72\n195.246.42.210\n195.245.237.35\n195.243.214.4\n195.239.39.250\n195.239.230.40\n195.239.138.198\n195.238.40.45\n195.235.225.10\n195.230.115.3\n195.230.115.2\n195.23.75.151\n195.23.236.90\n195.23.100.180\n195.228.81.117\n195.228.39.166\n195.228.230.148\n195.226.187.130\n195.226.148.211\n195.225.49.20\n195.225.49.131\n195.225.48.193\n195.225.48.17\n195.224.45.182\n195.224.191.221\n195.224.148.52\n195.222.45.135\n195.22.77.99\n195.22.237.106\n195.22.131.230\n195.219.98.40\n195.216.58.18\n195.216.58.16\n195.214.240.136\n195.211.85.70\n195.211.219.141\n195.211.101.223\n195.210.172.46\n195.210.172.43\n195.21.58.113\n195.21.54.113\n195.21.137.153\n195.21.13.234\n195.209.144.228\n195.208.5.1\n195.208.4.1\n195.208.108.75\n195.205.9.65\n195.205.39.18\n195.201.246.253\n195.201.192.29\n195.201.100.11\n195.200.176.2\n195.20.154.230\n195.192.9.141\n195.192.86.170\n195.191.13.87\n195.19.40.237\n195.19.4.32\n195.19.102.93\n195.186.4.192\n195.186.4.162\n195.186.4.111\n195.186.4.110\n195.186.1.162\n195.186.1.111\n195.186.1.110\n195.182.147.74\n195.18.16.140\n195.178.56.180\n195.178.56.179\n195.178.33.46\n195.167.86.34\n195.167.136.57\n195.167.123.245\n195.166.180.239\n195.162.81.125\n195.16.47.53\n195.158.87.192\n195.158.82.92\n195.158.8.30\n195.158.250.101\n195.158.0.5\n195.158.0.3\n195.154.57.169\n195.154.31.170\n195.140.195.21\n195.14.49.27\n195.138.90.226\n195.138.88.134\n195.138.79.162\n195.136.206.181\n195.136.206.159\n195.136.206.155\n195.136.206.152\n195.136.163.57\n195.135.30.64\n195.133.157.159\n195.133.149.106\n195.117.218.206\n195.116.52.251\n195.116.242.247\n195.116.242.240\n195.114.7.252\n195.112.128.222\n195.110.25.248\n195.110.24.248\n195.11.179.142\n195.11.179.140\n195.10.195.195\n194.93.2.70\n194.88.93.22\n194.88.54.158\n194.88.245.142\n194.88.153.197\n194.77.8.1\n194.74.6.42\n194.72.35.195\n194.72.35.194\n194.70.90.162\n194.69.195.2\n194.69.194.3\n194.68.95.4\n194.67.40.47\n194.67.38.7\n194.65.30.2\n194.61.59.25\n194.61.232.18\n194.6.227.60\n194.6.227.180\n194.6.227.18\n194.6.227.150\n194.6.227.15\n194.55.140.138\n194.50.50.3\n194.48.151.213\n194.48.151.200\n194.48.151.145\n194.48.151.132\n194.48.151.130\n194.44.67.95\n194.44.45.242\n194.44.216.58\n194.44.216.10\n194.44.211.78\n194.44.139.88\n194.44.138.10\n194.36.144.87\n194.33.76.1\n194.31.5.18\n194.31.153.61\n194.30.254.138\n194.29.10.6\n194.28.61.114\n194.250.242.105\n194.25.0.68\n194.25.0.62\n194.25.0.60\n194.25.0.52\n194.249.67.20\n194.247.184.53\n194.242.217.239\n194.236.230.132\n194.236.230.131\n194.233.86.28\n194.228.54.34\n194.228.165.168\n194.224.216.170\n194.22.51.35\n194.209.90.8\n194.209.225.15\n194.204.225.18\n194.204.223.244\n194.2.0.50\n194.2.0.20\n194.190.84.137\n194.190.43.87\n194.190.175.17\n194.187.242.10\n194.187.240.10\n194.187.150.71\n194.186.90.74\n194.186.44.69\n194.186.232.214\n194.186.215.150\n194.177.56.1\n194.177.50.125\n194.177.210.210\n194.177.199.1\n194.172.160.4\n194.168.8.123\n194.168.4.123\n194.158.78.137\n194.150.118.100\n194.149.145.132\n194.146.249.146\n194.146.24.191\n194.145.241.6\n194.145.240.7\n194.145.240.6\n194.141.30.177\n194.135.45.87\n194.135.230.86\n194.135.11.210\n194.126.183.208\n194.126.167.2\n194.125.133.10\n194.12.15.222\n193.95.93.77\n193.95.93.243\n193.95.221.141\n193.93.237.230\n193.85.30.34\n193.77.25.50\n193.77.216.22\n193.58.251.251\n193.58.251.105\n193.58.251.104\n193.58.251.103\n193.58.251.102\n193.58.251.101\n193.57.73.100\n193.56.149.89\n193.56.148.228\n193.53.252.195\n193.47.83.251\n193.42.159.2\n193.42.153.26\n193.42.153.107\n193.39.71.5\n193.39.71.4\n193.39.71.3\n193.33.100.206\n193.253.234.127\n193.252.209.127\n193.248.131.101\n193.243.138.50\n193.242.177.92\n193.242.151.45\n193.242.107.8\n193.238.33.131\n193.238.102.55\n193.233.153.193\n193.232.36.242\n193.230.247.195\n193.228.134.195\n193.227.50.3\n193.227.29.241\n193.227.29.10\n193.226.61.1\n193.225.126.61\n193.219.27.222\n193.219.27.220\n193.219.102.62\n193.215.26.18\n193.215.179.34\n193.214.73.78\n193.202.121.50\n193.202.111.250\n193.200.151.69\n193.200.144.35\n193.2.246.9\n193.192.37.178\n193.192.113.146\n193.19.64.88\n193.19.253.254\n193.19.103.4\n193.186.170.50\n193.17.47.1\n193.168.243.5\n193.165.122.190\n193.165.116.70\n193.159.181.250\n193.141.116.163\n193.138.92.130\n193.138.92.129\n193.135.142.198\n193.115.248.226\n193.115.217.24\n193.111.200.191\n193.110.81.9\n193.110.81.0\n193.106.58.211\n193.106.192.9\n193.106.192.6\n193.106.192.14\n193.104.79.138\n192.77.22.74\n192.71.166.92\n192.69.77.66\n192.248.191.138\n192.248.176.219\n192.227.71.86\n192.221.177.0\n192.221.176.16\n192.221.176.0\n192.221.142.128\n192.221.142.0\n192.221.139.0\n192.221.138.0\n192.221.135.0\n192.210.16.184\n192.203.138.17\n192.203.138.11\n192.198.0.2\n192.182.146.202\n192.172.250.8\n192.169.154.227\n192.166.218.28\n192.166.218.146\n192.166.144.12\n192.165.9.158\n192.165.9.157\n192.165.252.20\n192.162.85.48\n192.162.240.66\n192.162.237.50\n192.162.233.20\n192.141.106.20\n192.140.40.253\n192.133.129.2\n192.12.111.30\n192.119.70.155\n192.116.91.229\n192.109.241.6\n192.100.164.125\n192.100.159.34\n191.97.9.99\n191.97.9.225\n191.97.53.229\n191.97.47.93\n191.6.138.137\n191.5.179.151\n191.37.23.73\n191.36.234.58\n191.36.234.143\n191.36.234.135\n191.36.233.57\n191.36.233.100\n191.33.230.226\n191.241.245.108\n191.241.161.70\n191.240.254.238\n191.209.29.122\n191.189.30.99\n191.182.203.8\n191.13.135.23\n191.102.89.6\n191.102.89.2\n191.102.82.83\n191.102.57.58\n191.102.56.57\n191.102.107.237\n191.100.20.116\n190.96.94.98\n190.96.93.74\n190.94.212.10\n190.93.189.30\n190.93.189.28\n190.93.176.126\n190.90.21.101\n190.89.8.146\n190.89.142.141\n190.89.142.129\n190.86.205.194\n190.85.118.18\n190.85.117.140\n190.82.70.214\n190.81.47.205\n190.71.49.122\n190.63.160.34\n190.60.84.243\n190.60.81.50\n190.60.67.138\n190.60.37.226\n190.6.31.100\n190.6.200.161\n190.58.23.133\n190.57.234.194\n190.56.148.54\n190.5.81.230\n190.43.92.243\n190.4.48.3\n190.4.18.218\n190.255.35.60\n190.25.241.210\n190.249.170.32\n190.249.168.212\n190.249.158.58\n190.248.67.34\n190.248.67.206\n190.248.143.210\n190.24.142.107\n190.223.55.37\n190.217.155.118\n190.216.56.107\n190.215.115.214\n190.211.104.94\n190.211.104.93\n190.210.255.132\n190.210.245.247\n190.210.127.98\n190.208.41.11\n190.202.135.58\n190.195.158.55\n190.187.243.222\n190.187.201.179\n190.187.200.243\n190.186.41.66\n190.186.131.245\n190.186.1.46\n190.184.224.206\n190.183.128.74\n190.181.63.242\n190.181.33.58\n190.171.26.34\n190.167.220.185\n190.152.219.135\n190.151.78.115\n190.151.76.90\n190.151.144.21\n190.151.104.178\n190.151.10.179\n190.15.205.212\n190.15.193.168\n190.149.193.229\n190.148.235.254\n190.148.193.146\n190.145.65.197\n190.145.196.114\n190.145.164.130\n190.145.136.210\n190.144.90.226\n190.144.123.122\n190.14.224.45\n190.14.154.78\n190.13.210.157\n190.13.210.148\n190.13.146.123\n190.128.225.58\n190.128.224.237\n190.128.224.236\n190.128.224.234\n190.128.214.90\n190.128.194.46\n190.124.39.34\n190.124.166.45\n190.123.85.89\n190.123.85.117\n190.121.4.63\n190.121.144.48\n190.120.188.98\n190.12.95.170\n190.12.67.210\n190.119.186.205\n190.119.105.85\n190.116.37.110\n190.113.88.165\n190.113.190.162\n190.113.172.24\n190.113.125.182\n190.111.246.169\n190.111.246.128\n190.111.207.83\n190.11.225.2\n190.109.64.49\n190.109.224.227\n190.109.2.245\n190.108.72.6\n190.107.20.164\n190.106.26.6\n190.105.214.36\n190.104.247.202\n190.104.243.44\n190.104.173.150\n190.104.168.155\n190.104.134.90\n190.103.31.90\n190.102.109.41\n190.0.62.118\n190.0.59.102\n190.0.32.94\n190.0.236.22\n190.0.14.18\n189.90.138.250\n189.90.114.109\n189.9.55.9\n189.8.80.34\n189.8.108.104\n189.7.49.85\n189.56.123.82\n189.51.118.34\n189.50.97.37\n189.4.83.33\n189.254.40.179\n189.254.225.213\n189.223.164.93\n189.223.164.9\n189.223.164.81\n189.22.227.194\n189.206.248.177\n189.206.218.22\n189.206.141.193\n189.206.125.227\n189.204.6.253\n189.204.240.235\n189.203.66.130\n189.203.141.69\n189.202.244.234\n189.196.91.198\n189.196.47.87\n189.196.17.222\n189.195.30.67\n189.194.63.25\n189.19.254.196\n189.16.248.21\n189.126.93.129\n189.126.192.4\n189.125.208.154\n189.112.160.165\n189.10.242.138\n188.94.227.38\n188.93.235.3\n188.93.135.180\n188.92.214.1\n188.92.209.129\n188.92.208.46\n188.75.33.210\n188.75.186.152\n188.69.227.55\n188.69.227.53\n188.69.130.183\n188.6.165.9\n188.6.164.43\n188.6.161.26\n188.43.239.146\n188.40.239.99\n188.40.205.205\n188.40.138.230\n188.36.126.131\n188.26.217.1\n188.254.49.206\n188.254.47.154\n188.227.136.44\n188.227.135.6\n188.226.64.126\n188.225.225.25\n188.207.12.98\n188.191.165.58\n188.191.161.121\n188.18.145.68\n188.18.141.247\n188.173.163.40\n188.170.5.117\n188.170.248.157\n188.170.130.91\n188.166.243.215\n188.165.254.29\n188.165.250.96\n188.165.220.211\n188.165.204.74\n188.165.135.96\n188.165.135.209\n188.163.170.130\n188.16.13.79\n188.135.60.42\n188.135.50.178\n188.135.50.138\n188.135.49.95\n188.135.14.80\n188.135.12.158\n188.126.60.67\n188.124.226.58\n188.122.4.78\n188.122.24.142\n188.122.212.56\n188.120.252.242\n188.117.151.126\n188.117.137.97\n188.117.137.81\n188.117.137.71\n188.117.137.37\n188.0.190.47\n188.0.190.35\n188.0.167.35\n18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15.236.150.25\n15.235.33.251\n15.204.157.214\n15.188.45.248\n149.91.3.9\n149.76.67.57\n149.62.241.50\n149.255.28.62\n149.202.84.49\n149.202.82.130\n149.202.81.7\n149.202.36.53\n149.202.157.139\n149.202.145.242\n149.154.159.92\n149.129.119.137\n149.126.23.226\n149.112.149.112\n149.112.122.30\n149.112.122.20\n149.112.122.10\n149.112.121.30\n149.112.121.20\n149.112.121.10\n149.112.112.9\n149.112.112.13\n149.112.112.12\n149.112.112.112\n149.112.112.11\n149.112.112.10\n149.106.172.178\n148.81.188.146\n148.78.200.7\n148.76.114.50\n148.72.246.219\n148.72.144.60\n148.251.24.48\n148.251.202.168\n148.251.133.165\n148.247.156.27\n148.245.196.68\n148.244.91.61\n148.244.89.212\n148.244.211.136\n148.244.179.157\n148.244.114.30\n148.244.108.33\n148.243.227.67\n148.243.195.206\n148.243.126.229\n148.235.82.66\n148.235.148.162\n148.233.136.82\n148.205.40.11\n148.205.228.17\n148.205.228.11\n148.102.51.97\n148.102.50.30\n147.50.47.189\n147.50.47.185\n147.50.47.181\n147.50.36.138\n147.50.18.146\n147.135.207.73\n147.135.131.46\n147.135.130.233\n146.88.67.162\n146.88.38.231\n146.71.84.161\n146.71.76.129\n146.59.15.173\n146.196.40.203\n146.158.30.143\n146.155.226.12\n146.120.19.126\n146.112.41.5\n146.112.41.4\n146.112.41.2\n146.0.23.67\n145.255.5.183\n145.255.31.145\n145.239.94.164\n145.239.196.217\n145.239.186.86\n145.236.190.166\n145.131.24.226\n145.131.142.83\n144.91.97.18\n144.91.69.91\n144.91.123.182\n144.91.122.26\n144.91.107.114\n144.48.115.72\n144.48.109.239\n144.48.109.231\n144.202.20.89\n144.139.9.180\n144.137.210.182\n144.129.45.42\n144.126.129.147\n143.244.162.177\n143.244.136.178\n143.233.233.142\n143.208.182.103\n143.208.0.14\n143.0.226.116\n143.0.111.78\n142.44.192.51\n142.190.83.129\n142.11.217.5\n142.11.215.140\n142.11.213.209\n142.11.200.36\n141.95.65.106\n141.95.155.209\n141.94.143.35\n141.195.95.131\n141.193.223.166\n141.136.112.107\n141.101.234.131\n141.1.27.249\n141.1.1.1\n141.0.102.130\n140.227.38.198\n14.97.85.129\n14.97.106.65\n14.96.97.193\n14.96.97.162\n14.96.97.160\n14.96.106.114\n14.63.225.15\n14.63.217.237\n14.63.217.12\n14.63.196.128\n14.56.77.168\n14.54.45.37\n14.52.27.10\n14.51.109.49\n14.50.118.125\n14.47.217.72\n14.43.82.31\n14.42.230.214\n14.41.60.11\n14.41.60.10\n14.36.32.8\n14.35.201.12\n14.33.27.243\n14.33.27.240\n14.241.35.56\n14.241.236.220\n14.241.225.212\n14.225.246.17\n14.225.16.66\n14.224.129.15\n14.200.94.202\n14.200.249.18\n14.198.169.236\n14.198.168.140\n14.192.25.141\n14.178.144.53\n14.161.47.108\n14.161.36.134\n14.161.252.185\n14.160.87.86\n14.140.206.30\n14.139.234.242\n14.128.21.30\n139.91.235.18\n139.64.162.129\n139.18.25.34\n139.18.25.33\n139.162.33.25\n139.162.122.189\n139.162.107.204\n139.135.130.148\n139.134.5.51\n139.134.2.190\n139.130.4.4\n139.130.124.242\n138.99.205.1\n138.97.177.27\n138.94.56.4\n138.91.252.187\n138.91.167.7\n138.68.74.166\n138.255.167.106\n138.255.108.121\n138.219.50.74\n138.219.249.221\n138.204.240.26\n138.201.225.189\n138.186.166.164\n138.185.2.206\n138.185.16.6\n138.128.241.232\n138.122.4.226\n138.121.114.217\n138.121.114.185\n138.0.89.142\n138.0.120.199\n137.74.226.27\n137.66.16.204\n137.220.33.124\n137.184.216.0\n137.118.1.32\n137.118.1.106\n137.103.64.198\n136.244.97.119\n136.243.93.187\n136.243.170.238\n136.243.151.59\n136.243.103.8\n135.181.20.96\n134.90.140.29\n134.75.195.7\n134.75.122.2\n134.35.6.220\n134.35.192.16\n134.35.188.122\n134.35.185.31\n134.35.172.170\n134.255.247.23\n134.236.245.30\n134.209.17.114\n134.195.4.2\n134.17.4.251\n134.122.47.67\n134.122.23.38\n134.119.184.220\n134.119.184.218\n133.18.71.5\n133.167.104.150\n132.255.228.168\n132.148.83.193\n132.148.78.54\n132.148.18.164\n132.145.89.151\n131.255.137.57\n131.255.136.10\n131.221.81.1\n131.196.220.10\n131.196.22.222\n131.196.115.45\n131.196.115.39\n131.196.115.190\n131.148.181.242\n131.100.51.65\n131.100.48.73\n130.93.54.181\n130.93.191.141\n130.93.184.27\n130.61.69.123\n130.61.64.122\n130.255.159.152\n130.255.153.137\n130.255.145.195\n130.255.121.9\n130.244.126.99\n130.105.145.84\n13.95.90.89\n13.76.130.172\n13.67.61.31\n13.49.107.2\n13.237.33.153\n129.7.81.41\n129.7.81.40\n129.7.234.150\n129.250.35.251\n129.250.35.250\n129.153.52.146\n129.126.84.102\n129.126.63.122\n129.126.150.172\n129.126.119.238\n128.92.65.181\n128.92.36.51\n128.238.2.38\n128.134.180.196\n128.134.135.200\n128.127.90.39\n128.127.17.20\n126.249.83.70\n126.249.64.222\n126.249.167.193\n126.249.167.161\n125.7.139.15\n125.63.106.202\n125.61.60.151\n125.61.60.133\n125.61.60.132\n125.254.55.83\n125.254.55.66\n125.235.11.66\n125.234.238.3\n125.234.121.6\n125.23.227.44\n125.229.59.173\n125.229.181.204\n125.229.101.233\n125.228.97.10\n125.228.209.195\n125.228.169.101\n125.228.144.5\n125.227.89.44\n125.227.77.87\n125.227.128.229\n125.214.90.2\n125.213.255.4\n125.209.80.106\n125.209.101.172\n125.206.226.66\n125.206.220.10\n125.206.218.49\n125.20.46.206\n125.19.19.84\n125.18.241.103\n125.16.252.73\n125.143.136.8\n125.141.226.248\n125.141.226.247\n125.141.196.236\n125.140.123.200\n125.138.119.126\n125.134.180.69\n125.130.169.142\n124.9.53.99\n124.82.2.186\n124.40.249.202\n124.35.154.159\n124.35.115.150\n124.33.8.69\n124.32.115.205\n124.254.74.246\n124.248.191.83\n124.155.197.234\n124.146.185.97\n124.137.207.115\n124.107.131.17\n124.107.126.1\n124.107.105.97\n124.106.99.238\n124.106.234.45\n124.106.13.147\n124.106.103.113\n124.105.219.222\n124.105.219.198\n124.105.219.106\n124.105.217.62\n124.105.217.50\n124.105.214.82\n124.105.214.174\n124.105.214.110\n124.105.212.198\n124.105.212.194\n124.105.212.158\n124.105.212.146\n124.105.209.234\n124.105.157.110\n124.105.154.90\n124.105.154.238\n124.105.151.86\n124.105.150.94\n123.51.244.77\n123.49.39.106\n123.30.27.24\n123.30.210.134\n123.30.187.240\n123.30.184.141\n123.30.175.83\n123.30.175.82\n123.30.116.18\n123.252.254.74\n123.252.254.26\n123.252.254.22\n123.252.215.25\n123.252.214.45\n123.252.213.83\n123.25.15.217\n123.25.129.97\n123.248.242.21\n123.243.55.86\n123.24.206.120\n123.226.235.68\n123.215.198.209\n123.205.156.16\n123.200.168.132\n123.200.11.90\n123.176.98.140\n123.176.4.39\n123.176.4.227\n123.176.4.224\n123.176.4.2\n123.176.31.226\n123.176.27.94\n123.142.124.146\n123.140.194.2\n123.109.246.249\n122.55.80.210\n122.55.4.89\n122.55.34.214\n122.55.31.181\n122.55.242.174\n122.55.236.166\n122.55.216.174\n122.55.204.1\n122.55.203.38\n122.55.16.1\n122.55.159.150\n122.55.158.66\n122.55.158.162\n122.55.145.178\n122.55.145.150\n122.55.143.226\n122.55.143.170\n122.55.142.178\n122.55.142.154\n122.55.111.98\n122.55.102.170\n122.54.95.78\n122.54.86.193\n122.54.86.1\n122.54.78.230\n122.54.69.14\n122.54.69.130\n122.54.62.137\n122.54.51.2\n122.54.23.49\n122.54.21.218\n122.54.17.114\n122.53.95.26\n122.53.95.126\n122.53.221.170\n122.53.218.12\n122.53.214.65\n122.53.213.74\n122.53.191.170\n122.53.190.38\n122.53.184.177\n122.53.179.133\n122.53.148.218\n122.53.148.193\n122.53.122.234\n122.52.251.163\n122.52.229.125\n122.52.117.51\n122.3.232.38\n122.3.22.133\n122.3.205.241\n122.252.241.166\n122.252.222.157\n122.214.1.141\n122.211.89.209\n122.210.62.171\n122.2.5.42\n122.2.29.66\n122.187.48.102\n122.186.116.209\n122.185.99.78\n122.185.99.106\n122.185.251.225\n122.185.198.242\n122.185.135.135\n122.185.113.244\n122.18.242.92\n122.18.232.147\n122.160.254.158\n122.155.37.109\n122.155.1.72\n122.154.136.56\n122.15.192.21\n122.147.248.147\n122.117.187.15\n122.117.151.111\n122.116.8.109\n122.11.249.26\n122.1.33.1\n121.91.48.192\n121.78.116.111\n121.58.248.195\n121.58.203.4\n121.50.200.15\n121.4.4.41\n121.4.4.246\n121.254.193.196\n121.254.171.228\n121.254.134.99\n121.202.148.156\n121.189.15.8\n121.188.121.59\n121.184.236.110\n121.183.253.122\n121.183.146.212\n121.182.244.180\n121.182.199.17\n121.182.194.189\n121.181.11.82\n121.180.180.71\n121.180.117.234\n121.176.16.144\n121.174.253.216\n121.174.236.100\n121.166.56.200\n121.166.237.218\n121.166.237.204\n121.166.157.11\n121.156.65.149\n121.156.120.240\n121.156.104.183\n121.156.104.182\n121.155.94.225\n121.153.88.212\n121.152.181.152\n121.151.111.5\n121.146.2.10\n121.139.218.165\n121.133.171.50\n121.131.194.203\n121.129.56.60\n121.128.176.211\n121.125.71.40\n121.125.71.213\n121.125.68.67\n121.122.55.58\n121.119.138.109\n120.88.120.137\n120.72.85.169\n120.72.85.167\n120.72.106.125\n120.57.113.146\n120.53.53.84\n120.53.53.198\n120.53.53.137\n120.53.53.116\n120.50.42.142\n120.28.196.176\n120.28.194.84\n120.138.27.84\n120.138.22.174\n12.97.172.197\n12.71.198.244\n12.71.108.154\n12.68.237.194\n12.55.50.170\n12.51.21.245\n12.40.39.6\n12.40.39.5\n12.28.98.3\n12.221.3.59\n12.221.135.162\n12.218.209.130\n12.216.90.50\n12.216.22.17\n12.200.123.164\n12.20.121.22\n12.189.150.34\n12.186.153.128\n12.181.159.78\n12.171.191.58\n12.148.208.86\n12.127.17.72\n12.127.17.71\n12.127.16.77\n12.127.16.67\n12.12.131.134\n12.109.212.19\n12.107.114.42\n12.0.210.194\n119.93.121.146\n119.92.80.57\n119.92.65.97\n119.92.223.242\n119.92.197.6\n119.92.192.241\n119.92.191.34\n119.92.187.97\n119.92.163.10\n119.92.150.133\n119.92.117.102\n119.9.73.44\n119.75.28.242\n119.73.184.241\n119.73.138.17\n119.73.105.7\n119.68.137.99\n119.59.117.3\n119.59.113.138\n119.207.62.155\n119.205.209.167\n119.204.80.25\n119.203.236.251\n119.201.211.21\n119.201.108.71\n119.199.215.81\n119.198.142.165\n119.197.120.3\n119.18.36.102\n119.17.75.70\n119.156.24.134\n119.152.243.157\n119.110.212.115\n119.10.181.138\n118.99.210.36\n118.98.223.17\n118.91.129.65\n118.91.10.17\n118.70.203.68\n118.70.177.223\n118.69.65.41\n118.69.246.104\n118.69.197.82\n118.69.157.184\n118.69.134.83\n118.69.109.45\n118.47.242.4\n118.45.48.177\n118.40.29.112\n118.38.9.207\n118.37.195.251\n118.3.227.163\n118.26.111.53\n118.238.203.252\n118.238.11.132\n118.233.57.133\n118.232.137.224\n118.220.172.122\n118.220.16.99\n118.218.6.137\n118.217.180.182\n118.21.162.12\n118.201.56.26\n118.201.53.209\n118.201.211.82\n118.201.187.122\n118.179.84.158\n118.175.16.66\n118.173.197.174\n118.163.7.54\n118.163.40.163\n118.143.97.54\n118.127.62.178\n118.103.239.9\n118.103.239.33\n117.55.243.14\n117.54.3.237\n117.53.152.76\n117.52.99.143\n117.4.91.86\n117.206.156.235\n117.20.67.244\n117.20.54.245\n117.20.54.242\n117.2.80.119\n117.2.18.50\n117.16.191.7\n117.122.125.106\n117.121.215.99\n117.121.215.101\n117.103.228.101\n117.102.214.93\n116.91.115.190\n116.82.248.104\n116.73.110.135\n116.71.135.74\n116.68.126.100\n116.58.187.189\n116.50.230.138\n116.50.180.210\n116.48.144.195\n116.48.132.6\n116.250.217.39\n116.212.100.98\n116.203.32.217\n116.203.181.6\n116.203.180.236\n116.202.21.65\n116.125.157.67\n116.125.124.79\n116.122.39.197\n116.121.52.43\n116.121.27.10\n116.120.11.6\n116.12.215.137\n116.12.206.109\n116.12.172.241\n116.118.119.167\n116.100.88.123\n115.99.215.16\n115.99.213.7\n115.99.212.118\n115.99.187.128\n115.99.102.41\n115.96.208.210\n115.96.149.199\n115.95.56.126\n115.84.79.71\n115.79.7.63\n115.79.5.78\n115.73.220.183\n115.70.225.190\n115.69.240.6\n115.68.110.146\n115.42.222.113\n115.42.210.81\n115.42.204.234\n115.31.133.178\n115.23.219.218\n115.178.53.146\n115.160.160.146\n115.147.21.134\n115.146.254.38\n115.146.252.198\n115.146.250.193\n115.146.249.49\n115.146.199.242\n115.146.192.90\n115.146.192.218\n115.146.189.170\n115.146.174.102\n115.146.127.181\n115.146.120.140\n115.126.20.15\n114.7.120.14\n114.6.46.153\n114.34.176.73\n114.33.89.166\n114.33.53.151\n114.33.41.219\n114.32.23.229\n114.199.226.206\n114.198.144.44\n114.179.13.90\n114.160.59.146\n114.160.203.201\n114.160.194.67\n114.156.146.116\n114.143.91.103\n114.143.88.197\n114.143.37.233\n114.143.34.54\n114.143.34.228\n114.143.34.218\n114.130.5.6\n114.130.5.5\n114.114.115.115\n114.114.114.114\n114.108.141.187\n113.61.224.12\n113.52.197.14\n113.42.99.133\n113.28.94.231\n113.28.71.243\n113.28.67.147\n113.28.67.105\n113.255.5.34\n113.22.113.64\n113.198.254.2\n113.196.55.130\n113.190.253.229\n113.176.7.202\n113.174.246.243\n113.165.96.215\n113.165.94.135\n113.164.80.4\n113.163.222.44\n113.162.247.163\n113.161.76.34\n113.161.71.132\n113.161.30.2\n113.161.230.20\n113.161.230.19\n113.161.208.18\n113.161.196.15\n113.161.180.214\n113.161.18.44\n113.161.169.161\n113.161.163.169\n113.161.116.150\n113.160.250.45\n113.160.232.172\n113.160.227.246\n113.160.226.179\n113.160.155.57\n113.160.116.252\n113.149.254.97\n112.76.169.12\n112.76.132.49\n112.220.81.150\n112.216.251.98\n112.216.19.69\n112.216.19.68\n112.216.138.50\n112.199.115.40\n112.198.179.23\n112.196.19.243\n112.186.103.96\n112.175.232.142\n112.173.44.139\n112.172.7.207\n112.169.182.143\n112.157.117.247\n112.154.101.76\n112.133.241.244\n112.133.198.54\n112.133.114.222\n112.121.184.34\n111.92.96.96\n111.92.96.19\n111.92.85.233\n111.92.189.105\n111.92.106.148\n111.92.105.39\n111.92.100.55\n111.68.108.215\n111.68.108.200\n111.125.72.190\n111.118.223.243\n111.118.147.236\n110.9.165.5\n110.78.18.44\n110.77.149.172\n110.76.152.20\n110.49.95.45\n110.49.78.20\n110.49.144.179\n110.49.124.74\n110.49.124.73\n110.49.123.26\n110.49.123.187\n110.49.11.170\n110.45.182.88\n110.44.123.48\n110.4.40.214\n110.174.24.94\n110.170.140.105\n110.164.95.66\n110.164.71.170\n110.164.241.236\n110.164.193.206\n110.164.151.194\n110.164.139.66\n110.164.139.186\n110.15.182.99\n110.15.182.145\n110.145.166.222\n110.145.154.62\n110.143.26.239\n110.143.148.183\n110.142.40.60\n109.96.66.14\n109.92.27.159\n109.92.133.78\n109.75.45.3\n109.75.41.201\n109.73.42.171\n109.73.39.154\n109.72.239.247\n109.69.6.30\n109.68.15.212\n109.68.14.61\n109.5.33.66\n109.248.212.9\n109.248.2.1\n109.248.157.46\n109.248.157.118\n109.245.230.145\n109.241.116.68\n109.238.224.178\n109.237.94.186\n109.235.216.5\n109.234.249.10\n109.234.248.10\n109.233.192.72\n109.232.88.4\n109.232.88.3\n109.228.8.84\n109.228.8.83\n109.228.22.126\n109.228.21.223\n109.228.16.144\n109.228.1.132\n109.228.0.238\n109.226.199.197\n109.224.233.190\n109.224.233.174\n109.203.100.192\n109.202.11.6\n109.200.180.226\n109.199.77.76\n109.199.253.44\n109.197.71.34\n109.197.107.104\n109.195.146.245\n109.194.118.24\n109.168.65.86\n109.163.232.228\n109.160.96.238\n109.125.204.16\n109.117.16.197\n109.111.9.14\n109.111.8.0\n109.111.75.114\n109.111.117.212\n109.111.112.58\n109.110.44.12\n109.110.40.41\n109.110.40.214\n109.110.238.65\n109.105.55.39\n109.105.45.31\n109.105.45.30\n109.105.40.34\n108.41.102.212\n108.162.196.93\n108.162.196.91\n108.162.196.79\n108.162.196.77\n108.162.196.75\n108.162.196.67\n108.162.196.62\n108.162.196.3\n108.162.196.245\n108.162.196.238\n108.162.196.229\n108.162.196.219\n108.162.196.212\n108.162.196.21\n108.162.196.205\n108.162.196.20\n108.162.196.199\n108.162.196.180\n108.162.196.173\n108.162.196.17\n108.162.196.16\n108.162.196.15\n108.162.196.129\n108.162.196.12\n108.162.195.95\n108.162.195.94\n108.162.195.93\n108.162.195.91\n108.162.195.8\n108.162.195.7\n108.162.195.67\n108.162.195.65\n108.162.195.45\n108.162.195.42\n108.162.195.36\n108.162.195.31\n108.162.195.30\n108.162.195.29\n108.162.195.247\n108.162.195.246\n108.162.195.220\n108.162.195.208\n108.162.195.202\n108.162.195.197\n108.162.195.183\n108.162.195.181\n108.162.195.172\n108.162.195.167\n108.162.195.163\n108.162.195.137\n108.162.195.135\n108.162.195.132\n108.162.195.127\n108.162.195.118\n108.162.195.113\n108.162.194.93\n108.162.194.87\n108.162.194.85\n108.162.194.78\n108.162.194.64\n108.162.194.6\n108.162.194.56\n108.162.194.5\n108.162.194.40\n108.162.194.36\n108.162.194.35\n108.162.194.32\n108.162.194.3\n108.162.194.252\n108.162.194.251\n108.162.194.25\n108.162.194.249\n108.162.194.24\n108.162.194.23\n108.162.194.229\n108.162.194.227\n108.162.194.215\n108.162.194.213\n108.162.194.201\n108.162.194.193\n108.162.194.186\n108.162.194.182\n108.162.194.180\n108.162.194.177\n108.162.194.159\n108.162.194.153\n108.162.194.152\n108.162.194.150\n108.162.194.141\n108.162.194.127\n108.162.194.120\n108.162.194.112\n108.162.194.11\n108.162.194.105\n108.162.194.103\n108.162.194.10\n108.162.193.99\n108.162.193.94\n108.162.193.83\n108.162.193.70\n108.162.193.37\n108.162.193.33\n108.162.193.32\n108.162.193.250\n108.162.193.242\n108.162.193.227\n108.162.193.226\n108.162.193.225\n108.162.193.224\n108.162.193.221\n108.162.193.207\n108.162.193.201\n108.162.193.198\n108.162.193.181\n108.162.193.161\n108.162.193.154\n108.162.193.151\n108.162.193.139\n108.162.193.130\n108.162.193.112\n108.162.193.111\n108.162.193.108\n108.162.193.106\n108.162.193.104\n108.162.192.8\n108.162.192.79\n108.162.192.66\n108.162.192.65\n108.162.192.45\n108.162.192.35\n108.162.192.3\n108.162.192.27\n108.162.192.254\n108.162.192.248\n108.162.192.238\n108.162.192.237\n108.162.192.234\n108.162.192.208\n108.162.192.200\n108.162.192.19\n108.162.192.185\n108.162.192.183\n108.162.192.164\n108.162.192.162\n108.162.192.149\n108.162.192.146\n108.162.192.140\n108.162.192.14\n108.162.192.136\n108.162.192.134\n108.162.192.127\n108.162.192.124\n108.161.133.137\n107.80.51.240\n107.80.230.195\n107.80.230.178\n107.241.236.99\n107.241.236.106\n107.241.170.173\n107.189.31.10\n107.182.193.69\n107.170.102.45\n107.144.121.130\n107.130.51.137\n107.125.177.89\n107.0.218.126\n106.0.61.250\n105.30.247.93\n105.29.89.225\n105.255.121.94\n105.247.182.102\n105.244.179.78\n105.244.179.225\n105.243.201.129\n105.243.179.28\n105.243.179.199\n105.243.179.17\n105.243.178.87\n105.242.63.54\n104.60.85.131\n104.245.55.17\n104.245.144.98\n104.232.6.1\n104.207.130.197\n104.187.69.92\n104.168.159.220\n104.155.237.225\n104.131.163.103\n103.99.150.10\n103.99.110.113\n103.95.148.6\n103.93.150.184\n103.90.162.6\n103.9.88.154\n103.86.99.100\n103.86.96.100\n103.86.135.166\n103.86.103.29\n103.84.96.6\n103.84.132.2\n103.84.119.230\n103.84.119.226\n103.84.119.192\n103.84.119.172\n103.83.33.13\n103.82.242.153\n103.82.241.138\n103.80.1.193\n103.79.74.1\n103.78.35.229\n103.77.227.162\n103.77.188.19\n103.77.188.18\n103.74.230.32\n103.74.228.89\n103.74.228.39\n103.74.228.177\n103.7.172.8\n103.7.172.7\n103.68.156.122\n103.67.152.193\n103.65.240.147\n103.59.52.3\n103.59.176.154\n103.58.120.120\n103.57.71.89\n103.57.71.38\n103.57.71.2\n103.57.71.156\n103.57.71.145\n103.57.71.140\n103.57.71.137\n103.57.71.120\n103.57.71.102\n103.57.70.98\n103.57.70.62\n103.57.70.34\n103.57.70.220\n103.57.70.103\n103.53.228.24\n103.51.144.216\n103.51.144.214\n103.51.144.212\n103.51.139.51\n103.50.215.236\n103.5.148.99\n103.5.148.100\n103.48.78.157\n103.48.78.156\n103.48.207.78\n103.35.140.52\n103.35.140.43\n103.30.245.97\n103.28.39.63\n103.28.37.218\n103.28.114.57\n103.26.170.103\n103.251.105.188\n103.250.28.6\n103.249.33.206\n103.247.156.200\n103.246.244.143\n103.242.58.167\n103.242.58.166\n103.242.124.7\n103.241.181.28\n103.239.32.81\n103.239.32.36\n103.239.165.34\n103.237.97.164\n103.237.147.46\n103.237.127.20\n103.232.32.246\n103.23.223.249\n103.228.35.43\n103.225.36.238\n103.225.36.226\n103.22.245.50\n103.22.181.122\n103.217.216.122\n103.215.16.230\n103.213.202.166\n103.211.26.243\n103.211.153.41\n103.209.199.8\n103.209.199.6\n103.209.199.114\n103.209.199.107\n103.206.247.194\n103.205.178.9\n103.204.68.85\n103.204.68.48\n103.204.68.219\n103.204.68.165\n103.204.246.241\n103.202.221.88\n103.202.221.69\n103.202.221.53\n103.202.221.40\n103.202.221.34\n103.202.221.224\n103.202.221.210\n103.202.221.200\n103.202.221.178\n103.202.221.163\n103.202.221.149\n103.202.221.12\n103.202.221.107\n103.200.218.78\n103.200.218.77\n103.20.28.2\n103.20.184.97\n103.20.184.81\n103.20.152.11\n103.198.19.2\n103.196.38.8\n103.196.38.39\n103.196.38.38\n103.196.16.2\n103.196.136.7\n103.191.85.74\n103.191.85.56\n103.191.85.50\n103.191.85.46\n103.191.85.45\n103.191.85.168\n103.191.85.164\n103.191.84.84\n103.191.84.54\n103.191.84.50\n103.191.84.28\n103.191.84.186\n103.191.84.112\n103.191.84.10\n103.190.43.95\n103.190.43.24\n103.190.43.227\n103.190.43.148\n103.190.178.190\n103.190.169.4\n103.186.253.5\n103.186.253.244\n103.186.253.243\n103.186.253.240\n103.186.253.185\n103.186.253.114\n103.186.253.112\n103.186.253.109\n103.186.252.56\n103.186.252.29\n103.186.252.218\n103.185.25.167\n103.184.180.241\n103.183.16.25\n103.181.123.94\n103.181.123.9\n103.181.123.86\n103.181.123.83\n103.181.123.76\n103.181.123.68\n103.181.123.65\n103.181.123.5\n103.181.123.36\n103.181.123.241\n103.181.123.231\n103.181.123.212\n103.181.123.196\n103.181.123.19\n103.181.123.188\n103.181.123.141\n103.181.123.134\n103.181.123.109\n103.181.122.92\n103.181.122.6\n103.181.122.249\n103.181.122.241\n103.181.122.236\n103.181.122.17\n103.181.122.16\n103.181.122.158\n103.181.122.148\n103.181.122.131\n103.181.122.108\n103.181.122.105\n103.181.122.101\n103.18.138.20\n103.179.182.47\n103.179.182.237\n103.178.86.41\n103.178.194.131\n103.177.234.10\n103.176.159.18\n103.175.2.235\n103.174.224.9\n103.174.224.87\n103.174.224.84\n103.174.224.70\n103.174.224.50\n103.174.224.41\n103.174.224.39\n103.174.224.38\n103.174.224.247\n103.174.224.241\n103.174.224.225\n103.174.224.222\n103.174.224.22\n103.174.224.21\n103.174.224.208\n103.174.224.184\n103.174.224.151\n103.174.224.140\n103.174.224.124\n103.174.224.119\n103.174.224.117\n103.174.224.10\n103.174.224.0\n103.174.102.61\n103.173.173.173\n103.173.152.233\n103.172.197.43\n103.172.172.51\n103.171.182.73\n103.171.180.48\n103.170.90.121\n103.170.172.95\n103.170.172.79\n103.170.172.77\n103.170.172.73\n103.170.172.61\n103.170.172.50\n103.170.172.38\n103.170.172.3\n103.170.172.254\n103.170.172.252\n103.170.172.249\n103.170.172.246\n103.170.172.232\n103.170.172.221\n103.170.172.220\n103.170.172.203\n103.170.172.199\n103.170.172.185\n103.170.172.182\n103.170.172.175\n103.170.172.164\n103.170.172.163\n103.170.172.162\n103.170.172.157\n103.170.172.151\n103.170.172.148\n103.170.172.147\n103.170.172.138\n103.170.172.127\n103.170.172.113\n103.170.172.111\n103.17.176.84\n103.17.176.81\n103.17.176.73\n103.17.176.32\n103.17.176.31\n103.17.176.3\n103.17.176.251\n103.17.176.240\n103.17.176.231\n103.17.176.215\n103.17.176.214\n103.17.176.182\n103.17.176.181\n103.17.176.175\n103.17.176.173\n103.17.176.146\n103.17.176.133\n103.17.176.128\n103.17.176.117\n103.17.176.115\n103.169.187.67\n103.168.29.185\n103.168.177.230\n103.166.171.69\n103.165.4.82\n103.165.39.50\n103.165.165.68\n103.165.154.1\n103.165.118.76\n103.165.118.179\n103.164.116.180\n103.163.117.61\n103.163.117.223\n103.162.57.37\n103.161.42.2\n103.161.31.137\n103.161.128.130\n103.161.128.128\n103.16.63.166\n103.16.25.47\n103.16.25.46\n103.16.118.11\n103.159.251.209\n103.159.195.40\n103.159.195.234\n103.159.195.156\n103.157.152.6\n103.156.86.78\n103.156.86.29\n103.156.75.132\n103.156.66.254\n103.156.239.193\n103.156.239.106\n103.155.64.208\n103.155.42.204\n103.155.42.150\n103.155.42.130\n103.155.199.45\n103.155.198.142\n103.155.174.87\n103.155.174.85\n103.155.174.68\n103.155.174.113\n103.155.174.109\n103.154.49.74\n103.154.241.252\n103.154.2.93\n103.154.16.58\n103.154.16.5\n103.154.16.34\n103.154.16.32\n103.154.16.30\n103.154.16.255\n103.154.16.25\n103.154.16.238\n103.154.16.228\n103.154.16.217\n103.154.16.210\n103.154.16.208\n103.154.16.177\n103.154.16.148\n103.154.16.136\n103.154.16.128\n103.154.16.115\n103.154.16.101\n103.153.49.82\n103.153.49.41\n103.153.49.251\n103.153.48.83\n103.153.48.27\n103.153.48.25\n103.153.191.42\n103.153.190.78\n103.153.190.238\n103.152.143.244\n103.152.101.135\n103.151.246.46\n103.151.226.62\n103.151.226.42\n103.151.155.21\n103.15.246.182\n103.149.165.83\n103.149.165.162\n103.148.178.80\n103.148.178.77\n103.148.178.7\n103.148.178.63\n103.148.178.59\n103.148.178.54\n103.148.178.50\n103.148.178.35\n103.148.178.3\n103.148.178.20\n103.148.178.179\n103.148.178.161\n103.148.178.104\n103.148.130.112\n103.148.112.146\n103.146.55.82\n103.146.55.67\n103.146.55.61\n103.146.55.53\n103.146.55.49\n103.146.55.48\n103.146.55.39\n103.146.55.27\n103.146.55.250\n103.146.55.247\n103.146.55.243\n103.146.55.171\n103.146.55.157\n103.146.55.153\n103.146.55.142\n103.146.55.14\n103.146.55.137\n103.146.55.133\n103.146.55.131\n103.146.55.124\n103.146.55.108\n103.146.54.25\n103.146.54.247\n103.146.54.244\n103.146.54.24\n103.146.54.218\n103.146.54.217\n103.146.54.112\n103.146.54.104\n103.145.36.151\n103.145.165.91\n103.145.165.7\n103.145.165.59\n103.145.165.42\n103.145.165.235\n103.145.165.233\n103.145.165.226\n103.145.165.213\n103.145.165.206\n103.145.165.204\n103.145.165.196\n103.145.165.172\n103.145.165.155\n103.145.165.116\n103.145.164.99\n103.145.164.94\n103.145.164.85\n103.145.164.81\n103.145.164.77\n103.145.164.70\n103.145.164.57\n103.145.164.52\n103.145.164.51\n103.145.164.50\n103.145.164.5\n103.145.164.39\n103.145.164.32\n103.145.164.247\n103.145.164.239\n103.145.164.234\n103.145.164.231\n103.145.164.226\n103.145.164.221\n103.145.164.218\n103.145.164.206\n103.145.164.203\n103.145.164.186\n103.145.164.18\n103.145.164.178\n103.145.164.162\n103.145.164.153\n103.145.164.141\n103.145.164.14\n103.145.164.113\n103.144.144.58\n103.143.237.9\n103.143.237.85\n103.143.237.82\n103.143.237.40\n103.143.237.206\n103.143.237.172\n103.143.237.165\n103.143.237.140\n103.143.237.136\n103.143.237.10\n103.143.236.96\n103.143.236.89\n103.143.236.37\n103.143.236.233\n103.143.236.219\n103.143.236.203\n103.143.236.200\n103.143.236.181\n103.143.236.142\n103.143.236.105\n103.142.147.14\n103.141.200.98\n103.141.200.97\n103.141.200.75\n103.141.200.12\n103.140.25.69\n103.140.25.43\n103.140.25.36\n103.140.25.223\n103.140.25.191\n103.140.25.121\n103.140.25.115\n103.140.25.100\n103.140.24.95\n103.140.24.75\n103.140.24.248\n103.140.24.244\n103.140.24.209\n103.140.24.201\n103.140.24.175\n103.140.24.158\n103.140.24.148\n103.140.24.14\n103.140.24.130\n103.140.24.125\n103.140.24.124\n103.140.24.115\n103.140.24.105\n103.140.24.102\n103.140.17.242\n103.139.14.2\n103.138.51.141\n103.138.175.58\n103.138.175.22\n103.137.156.3\n103.137.10.193\n103.135.172.78\n103.135.172.73\n103.135.172.60\n103.135.172.37\n103.135.172.31\n103.135.172.28\n103.135.172.199\n103.135.172.197\n103.135.172.191\n103.135.172.141\n103.135.172.117\n103.135.138.6\n103.135.135.64\n103.134.44.222\n103.133.122.148\n103.132.52.32\n103.132.52.31\n103.132.242.59\n103.130.4.82\n103.130.4.8\n103.13.41.2\n103.13.123.16\n103.13.112.251\n103.129.211.142\n103.129.211.13\n103.126.87.123\n103.126.201.33\n103.126.201.129\n103.126.201.1\n103.125.163.241\n103.124.225.75\n103.123.226.10\n103.123.225.10\n103.122.65.97\n103.122.29.129\n103.122.252.82\n103.122.252.81\n103.121.228.5\n103.121.228.1\n103.120.111.2\n103.12.31.83\n103.12.2.11\n103.119.146.46\n103.119.126.68\n103.119.109.162\n103.119.109.160\n103.118.178.18\n103.117.63.67\n103.115.119.41\n103.115.118.210\n103.115.118.201\n103.115.118.197\n103.115.118.113\n103.112.207.159\n103.112.204.37\n103.112.12.214\n103.111.122.2\n103.109.39.79\n103.109.239.243\n103.109.239.242\n103.108.9.217\n103.107.186.1\n103.106.219.117\n103.105.78.207\n103.105.64.163\n103.105.212.98\n103.103.88.39\n103.103.127.169\n103.103.126.6\n103.103.126.110\n103.103.125.253\n103.103.125.247\n103.103.125.133\n103.103.125.130\n103.103.124.70\n103.103.124.247\n103.103.124.212\n103.103.124.200\n103.103.124.144\n103.103.124.120\n103.102.250.37\n103.102.250.209\n103.102.250.127\n103.102.250.102\n103.102.136.102\n103.10.171.230\n102.91.8.126\n102.68.79.77\n102.67.139.204\n102.64.76.49\n102.50.253.95\n102.33.47.78\n102.33.46.203\n102.33.45.23\n102.33.45.152\n102.221.92.53\n102.221.244.1\n102.221.12.46\n102.22.81.43\n102.22.81.114\n102.22.72.24\n102.22.108.2\n102.219.209.155\n102.218.172.222\n102.217.29.78\n102.217.123.98\n102.216.69.18\n102.216.223.14\n102.212.226.177\n102.176.81.182\n102.164.255.149\n102.16.68.12\n102.141.244.134\n102.133.139.27\n101.255.119.209\n101.198.198.198\n101.110.40.25\n101.102.196.118\n101.102.103.104\n101.101.101.101\n101.0.97.70\n101.0.6.195\n1.9.70.93\n1.9.70.86\n1.9.70.84\n1.9.165.210\n1.9.111.99\n1.9.111.97\n1.4.203.13\n1.4.155.85\n1.38.3.52\n1.38.3.168\n1.38.3.167\n1.34.94.130\n1.34.58.188\n1.34.189.116\n1.33.204.121\n1.33.199.58\n1.33.199.57\n1.33.129.233\n1.255.134.74\n1.253.233.47\n1.253.233.42\n1.252.22.37\n1.251.44.10\n1.250.66.91\n1.250.66.88\n1.250.246.15\n1.249.43.20\n1.249.207.225\n1.248.31.204\n1.247.32.84\n1.246.219.171\n1.246.201.9\n1.246.201.53\n1.246.201.38\n1.246.201.12\n1.245.51.74\n1.245.143.166\n1.242.141.19\n1.241.255.203\n1.238.6.146\n1.237.46.97\n1.237.229.208\n1.236.11.126\n1.236.11.121\n1.235.89.75\n1.235.89.4\n1.235.186.131\n1.234.79.82\n1.234.72.207\n1.234.72.165\n1.234.72.146\n1.234.66.81\n1.234.4.150\n1.234.31.2\n1.234.178.2\n1.233.8.222\n1.231.163.67\n1.229.87.167\n1.229.87.157\n1.229.87.138\n1.229.79.96\n1.229.71.72\n1.229.184.91\n1.228.42.28\n1.228.32.93\n1.228.224.139\n1.228.122.57\n1.227.9.73\n1.227.9.134\n1.227.56.61\n1.226.193.136\n1.226.190.17\n1.225.165.101\n1.224.187.102\n1.221.232.82\n1.21.10.81\n1.209.148.129\n1.179.228.10\n1.179.166.229\n1.179.153.125\n1.12.13.53\n1.11.251.105\n1.10.10.10\n1.1.1.3\n1.1.1.2\n1.1.1.1\n1.0.241.30\n1.0.161.80\n1.0.158.183\n1.0.153.150\n1.0.0.3\n1.0.0.2\n1.0.0.19\n1.0.0.1" }, { "path": "backend/scripts/generate_test_data_sql.py", "content": "#!/usr/bin/env python3\n\"\"\"\n直接通过 SQL 插入测试数据\n\n用法：\n # 生成常规测试数据\n python backend/scripts/generate_test_data_sql.py\n python backend/scripts/generate_test_data_sql.py --clear # 清除后重新生成\n \n # 生成百万级测试数据(用于测试 Dashboard 卡片溢出)\n python backend/scripts/generate_test_data_sql.py --million\n python backend/scripts/generate_test_data_sql.py --million --clear # 清除后生成百万级数据\n \n百万级数据说明：\n - 目标: 1,000\n - 子域名: 200,000\n - 网站: 200,000\n - 端点: 200,000\n - IP (host_port_mapping): 200,000\n - 漏洞: 200,000 (critical: 50k, high: 50k, medium: 50k, low: 30k, info: 20k)\n - 总资产: ~660,000\n\"\"\"\n\nimport argparse\nimport random\nimport json\nimport os\nfrom datetime import datetime, timedelta\nfrom decimal import Decimal\nfrom pathlib import Path\n\nimport psycopg2\nfrom psycopg2.extras import execute_values\n\n\ndef generate_fixed_length_url(target_name: str, length: int = 245, path_hint: str = '') -> str:\n \"\"\"\n 生成固定长度的 URL\n \n Args:\n target_name: 目标域名\n length: 目标URL长度，默认245\n path_hint: 可选的路径提示，用于区分不同类型的URL\n \n Returns:\n 固定长度的URL字符串\n \"\"\"\n base = f'https://{target_name}'\n \n # 基础路径\n paths = [\n '/api/v3/enterprise/security-assessment/vulnerability-management',\n '/admin/dashboard/system-configuration/advanced-settings',\n '/portal/user-authentication/multi-factor/verification',\n '/services/cloud-infrastructure/monitoring/metrics',\n '/internal/system-administration/audit-logging/events',\n ]\n \n path = random.choice(paths) if not path_hint else f'/{path_hint}'\n url = f'{base}{path}'\n \n # 添加查询参数\n param_idx = 0\n while len(url) < length - 20:\n param_idx += 1\n param = f'p{param_idx}={random.randint(10000000, 99999999)}'\n separator = '?' if '?' not in url else '&'\n url = f'{url}{separator}{param}'\n \n # 精确调整到目标长度\n if len(url) < length:\n # 添加填充参数\n padding_needed = length - len(url) - 1 # -1 for '&' or '?'\n if padding_needed > 0:\n separator = '?' if '?' not in url else '&'\n # 创建精确长度的填充\n padding = 'x' * padding_needed\n url = f'{url}{separator}{padding}'\n \n # 截断到精确长度\n if len(url) > length:\n url = url[:length]\n \n return url\n\n\ndef generate_fixed_length_text(length: int = 300, text_type: str = 'description') -> str:\n \"\"\"\n 生成固定长度的文本内容\n \n Args:\n length: 目标文本长度，默认300\n text_type: 文本类型，用于选择不同的内容模板\n \n Returns:\n 固定长度的文本字符串\n \"\"\"\n # 基础文本模板\n templates = {\n 'description': [\n 'A critical security vulnerability was discovered in the application authentication module. This vulnerability allows attackers to bypass security controls and gain unauthorized access to sensitive system resources. The issue stems from improper input validation and insufficient access control mechanisms. Exploitation could lead to complete system compromise, data exfiltration, and service disruption. Immediate remediation is strongly recommended including implementing proper input sanitization, strengthening authentication mechanisms, and deploying additional security monitoring. The vulnerability affects multiple components including user authentication, session management, API endpoints, and data processing pipelines. Risk assessment indicates high severity with potential for significant business impact.',\n 'Server-side request forgery (SSRF) vulnerability detected in the API gateway service. An attacker can manipulate server-side requests to access internal network resources, potentially exposing sensitive configuration data, internal services, and cloud metadata endpoints. The vulnerability exists due to insufficient URL validation in the proxy functionality. This could allow attackers to scan internal networks, access cloud instance metadata, retrieve sensitive credentials, and pivot to other internal systems. Recommended mitigations include implementing strict URL allowlisting, blocking requests to internal IP ranges, and adding network segmentation controls. The vulnerability has been assigned a high severity rating due to potential for lateral movement.',\n 'Remote code execution vulnerability identified in the file upload processing module. Insufficient file type validation allows attackers to upload malicious executable files that can be triggered to execute arbitrary code on the server. The vulnerability bypasses existing security controls through specially crafted file headers and extension manipulation. Successful exploitation grants attackers full control over the affected server, enabling data theft, malware deployment, and establishment of persistent backdoor access. Critical remediation steps include implementing strict file type validation, sandboxed file processing, content inspection, and removal of execution permissions from upload directories. This vulnerability requires immediate attention.',\n 'Cross-site scripting (XSS) vulnerability found in the user profile management interface. User-supplied input is rendered without proper encoding, allowing injection of malicious JavaScript code. Attackers can exploit this to steal session tokens, perform actions on behalf of authenticated users, redirect victims to phishing sites, and exfiltrate sensitive personal information. The vulnerability affects multiple input fields including display name, bio, and custom URL parameters. Remediation requires implementing context-aware output encoding, Content Security Policy headers, and input validation. Additionally, consider implementing HTTP-only and Secure flags on session cookies to limit the impact of successful XSS attacks.',\n 'SQL injection vulnerability discovered in the advanced search functionality. The application constructs database queries using unsanitized user input, enabling attackers to manipulate query logic, extract sensitive data, modify database contents, or execute administrative operations. The vulnerability affects the product search, user lookup, and reporting modules. Exploitation could result in complete database compromise, unauthorized data access, data manipulation, and potential privilege escalation. Immediate remediation includes implementing parameterized queries, stored procedures, input validation, and principle of least privilege for database accounts. Consider deploying a web application firewall as an additional defense layer.',\n ],\n 'organization': [\n 'A leading global technology corporation specializing in enterprise software solutions, cloud computing infrastructure, cybersecurity services, and digital transformation consulting. The organization operates across multiple continents with regional headquarters in North America, Europe, and Asia-Pacific. Core business units include enterprise resource planning systems, customer relationship management platforms, supply chain optimization tools, and advanced analytics solutions. The company maintains strategic partnerships with major cloud providers and technology vendors. Annual revenue exceeds several billion dollars with consistent year-over-year growth. The organization employs thousands of professionals including software engineers, security researchers, and business consultants.',\n 'An innovative financial technology company providing comprehensive digital banking services, payment processing solutions, and investment management platforms. The organization serves millions of customers globally through mobile applications, web portals, and API integrations. Key offerings include real-time payment processing, cryptocurrency trading, automated investment advisory, and small business lending. The company maintains regulatory compliance across multiple jurisdictions and holds various financial services licenses. Security infrastructure includes advanced fraud detection, multi-factor authentication, and end-to-end encryption. The organization has received multiple industry awards for innovation and customer satisfaction.',\n 'A healthcare technology enterprise focused on electronic health records, telemedicine platforms, medical device integration, and healthcare analytics. The organization partners with hospitals, clinics, and healthcare systems worldwide to improve patient outcomes and operational efficiency. Core products include comprehensive EHR systems, patient engagement portals, clinical decision support tools, and population health management platforms. The company maintains strict compliance with healthcare regulations including HIPAA, GDPR, and regional data protection requirements. Research and development investments focus on artificial intelligence applications in diagnostics, treatment optimization, and predictive health analytics.',\n ],\n 'title': [\n 'Enterprise Resource Planning System - Comprehensive Business Management Dashboard with Real-time Analytics, Workflow Automation, and Multi-department Integration Capabilities for Global Operations Management and Strategic Decision Support',\n 'Advanced Security Operations Center - Unified Threat Detection and Response Platform featuring Machine Learning-powered Anomaly Detection, Automated Incident Response, and Comprehensive Security Posture Management',\n 'Customer Experience Management Platform - Omnichannel Engagement Solution with AI-driven Personalization, Journey Orchestration, Sentiment Analysis, and Predictive Customer Behavior Modeling Capabilities',\n 'Cloud Infrastructure Management Console - Multi-cloud Orchestration Platform supporting AWS, Azure, and GCP with Automated Provisioning, Cost Optimization, Compliance Monitoring, and Performance Analytics',\n 'Data Analytics and Business Intelligence Suite - Self-service Analytics Platform with Advanced Visualization, Predictive Modeling, Natural Language Query Processing, and Automated Report Generation',\n ],\n }\n \n # 选择模板\n template_list = templates.get(text_type, templates['description'])\n base_text = random.choice(template_list)\n \n # 调整到目标长度\n if len(base_text) < length:\n # 需要扩展文本\n padding_words = [\n 'Additionally', 'Furthermore', 'Moreover', 'Consequently', 'Subsequently',\n 'comprehensive', 'implementation', 'infrastructure', 'configuration', 'authentication',\n 'vulnerability', 'exploitation', 'remediation', 'mitigation', 'assessment',\n ]\n while len(base_text) < length - 20:\n base_text += f' {random.choice(padding_words)}'\n # 精确填充\n if len(base_text) < length:\n padding_needed = length - len(base_text)\n base_text += ' ' + 'x' * (padding_needed - 1)\n \n # 截断到精确长度\n if len(base_text) > length:\n base_text = base_text[:length]\n \n return base_text\n\n\ndef load_env_file(env_path: str) -> dict:\n \"\"\"从 .env 文件加载环境变量\"\"\"\n env_vars = {}\n if os.path.exists(env_path):\n with open(env_path, 'r') as f:\n for line in f:\n line = line.strip()\n if line and not line.startswith('#') and '=' in line:\n key, value = line.split('=', 1)\n env_vars[key.strip()] = value.strip()\n return env_vars\n\n\ndef get_db_config() -> dict:\n \"\"\"从 docker/.env 读取数据库配置\"\"\"\n # 获取项目根目录\n script_dir = Path(__file__).resolve().parent\n project_root = script_dir.parent.parent\n env_path = project_root / 'docker' / '.env'\n \n env_vars = load_env_file(str(env_path))\n \n # 获取数据库配置，docker/.env 中 DB_HOST=postgres 是容器内地址，本地运行需要用 localhost\n db_host = env_vars.get('DB_HOST', 'postgres')\n if db_host == 'postgres':\n db_host = 'localhost' # 本地运行脚本时使用 localhost\n \n return {\n 'host': db_host,\n 'port': int(env_vars.get('DB_PORT', 5432)),\n 'dbname': env_vars.get('DB_NAME', 'xingrin'),\n 'user': env_vars.get('DB_USER', 'postgres'),\n 'password': env_vars.get('DB_PASSWORD', ''),\n }\n\n\ndef generate_raw_response_headers(headers_dict: dict) -> str:\n \"\"\"\n 将响应头字典转换为原始 HTTP 响应头字符串格式\n \n Args:\n headers_dict: 响应头字典\n \n Returns:\n 原始 HTTP 响应头字符串，格式如：\n HTTP/1.1 200 OK\n Server: nginx\n Content-Type: text/html\n ...\n \"\"\"\n lines = ['HTTP/1.1 200 OK']\n for key, value in headers_dict.items():\n # 将下划线转换为连字符，并首字母大写\n header_name = key.replace('_', '-').title()\n lines.append(f'{header_name}: {value}')\n return '\\r\\n'.join(lines)\n\n\nDB_CONFIG = get_db_config()\n\n\nclass TestDataGenerator:\n def __init__(self, clear: bool = False):\n self.conn = psycopg2.connect(**DB_CONFIG)\n self.conn.autocommit = False\n self.clear = clear\n \n def run(self):\n try:\n if self.clear:\n print(\"🗑️ 清除现有数据...\")\n self.clear_data()\n \n print(\"🚀 开始生成测试数据...\\n\")\n \n engine_ids = self.create_engines()\n worker_ids = self.create_workers()\n org_ids = self.create_organizations()\n target_ids = self.create_targets(org_ids)\n scan_ids = self.create_scans(target_ids, engine_ids, worker_ids)\n self.create_scheduled_scans(org_ids, target_ids, engine_ids)\n self.create_subdomains(target_ids)\n website_ids = self.create_websites(target_ids)\n self.create_endpoints(target_ids)\n self.create_directories(target_ids, website_ids)\n self.create_host_port_mappings(target_ids)\n self.create_vulnerabilities(target_ids)\n \n # 生成快照数据(扫描历史详细页面使用)\n self.create_subdomain_snapshots(scan_ids)\n self.create_website_snapshots(scan_ids)\n self.create_endpoint_snapshots(scan_ids)\n self.create_directory_snapshots(scan_ids)\n self.create_host_port_mapping_snapshots(scan_ids)\n self.create_vulnerability_snapshots(scan_ids)\n \n # 生成指纹数据\n self.create_ehole_fingerprints()\n self.create_goby_fingerprints()\n self.create_wappalyzer_fingerprints()\n self.create_fingers_fingerprints()\n self.create_fingerprinthub_fingerprints()\n self.create_arl_fingerprints()\n \n self.conn.commit()\n print(\"\\n✅ 测试数据生成完成！\")\n except Exception as e:\n self.conn.rollback()\n print(f\"\\n❌ 生成失败: {e}\")\n raise\n finally:\n self.conn.close()\n\n def clear_data(self):\n \"\"\"清除所有测试数据\"\"\"\n cur = self.conn.cursor()\n \n # 先删除 IMMV（避免 pg_ivm 的 anyarray bug）\n print(\" 删除 IMMV...\")\n cur.execute(\"DROP TABLE IF EXISTS asset_search_view CASCADE\")\n self.conn.commit()\n \n tables = [\n # 指纹表\n 'ehole_fingerprint', 'goby_fingerprint', 'wappalyzer_fingerprint',\n 'fingers_fingerprint', 'fingerprinthub_fingerprint', 'arl_fingerprint',\n # 快照表(先删除，因为有外键依赖 scan)\n 'vulnerability_snapshot', 'host_port_mapping_snapshot', 'directory_snapshot',\n 'endpoint_snapshot', 'website_snapshot', 'subdomain_snapshot',\n # 资产表\n 'vulnerability', 'host_port_mapping', 'directory', 'endpoint',\n 'website', 'subdomain', 'scheduled_scan', 'scan',\n 'organization_targets', 'target', 'organization',\n 'nuclei_template_repo', 'wordlist', 'scan_engine', 'worker_node'\n ]\n for table in tables:\n cur.execute(f\"DELETE FROM {table}\")\n self.conn.commit()\n \n # 重建 IMMV\n print(\" 重建 IMMV...\")\n cur.execute(\"\"\"\n SELECT pgivm.create_immv('asset_search_view', $$\n SELECT \n w.id,\n w.url,\n w.host,\n w.title,\n w.tech,\n w.status_code,\n w.response_headers,\n w.response_body,\n w.created_at,\n w.target_id\n FROM website w\n $$)\n \"\"\")\n self.conn.commit()\n print(\" ✓ 数据清除完成\\n\")\n\n def create_workers(self) -> list:\n \"\"\"创建 Worker 节点\"\"\"\n print(\"👷 创建 Worker 节点...\")\n cur = self.conn.cursor()\n \n # 生成随机后缀确保唯一性\n suffix = random.randint(1000, 9999)\n \n regions = ['asia-singapore-1', 'asia-singapore-2', 'asia-tokyo-1', 'asia-tokyo-2', 'asia-hongkong-1', \n 'asia-mumbai-1', 'asia-seoul-1', 'asia-sydney-1', 'asia-jakarta-1', 'asia-osaka-1',\n 'europe-frankfurt-1', 'europe-frankfurt-2', 'europe-london-1', 'europe-london-2', \n 'europe-paris-1', 'europe-ireland-1', 'europe-stockholm-1', 'europe-milan-1',\n 'us-east-virginia-1', 'us-east-virginia-2', 'us-east-ohio-1', 'us-west-oregon-1', \n 'us-west-oregon-2', 'us-west-california-1', 'us-central-iowa-1',\n 'australia-sydney-1', 'australia-melbourne-1', 'brazil-saopaulo-1', \n 'canada-montreal-1', 'southafrica-capetown-1', 'middleeast-bahrain-1']\n statuses = ['online', 'offline', 'pending', 'deploying', 'maintenance', 'error', 'upgrading']\n \n workers = [\n (f'local-worker-primary-high-performance-{suffix}', '127.0.0.1', True, 'online'),\n (f'local-worker-secondary-backup-{suffix}', '127.0.0.2', True, 'online'),\n ]\n \n # 随机生成 30-50 个远程 worker\n num_remote = random.randint(30, 50)\n selected_regions = random.sample(regions, min(num_remote, len(regions)))\n for i, region in enumerate(selected_regions):\n ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}'\n status = random.choice(statuses)\n workers.append((f'remote-worker-{region}-{suffix}-{i:02d}', ip, False, status))\n \n ids = []\n for name, ip, is_local, status in workers:\n cur.execute(\"\"\"\n INSERT INTO worker_node (name, ip_address, ssh_port, username, password, is_local, status, created_at, updated_at)\n VALUES (%s, %s, 22, 'root', '', %s, %s, NOW(), NOW())\n ON CONFLICT (name) DO UPDATE SET updated_at = NOW()\n RETURNING id\n \"\"\", (name, ip, is_local, status))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n print(f\" ✓ 创建了 {len(ids)} 个 Worker 节点\\n\")\n return ids\n\n def create_engines(self) -> list:\n \"\"\"创建扫描引擎\"\"\"\n print(\"⚙️ 创建扫描引擎...\")\n cur = self.conn.cursor()\n \n suffix = random.randint(1000, 9999)\n \n engine_templates = [\n ('Full-Comprehensive-Security-Assessment-Enterprise-Grade-Vulnerability-Detection-System', 'subdomain_discovery:\\n enabled: true\\n tools: [subfinder, amass, findomain, assetfinder, chaos]\\n timeout: {timeout}\\n resolvers: [8.8.8.8, 1.1.1.1, 9.9.9.9]\\nvulnerability_scanning:\\n enabled: true\\n nuclei:\\n severity: critical,high,medium,low,info\\n rate_limit: {rate}\\n concurrency: {conc}\\n templates: [cves, vulnerabilities, exposures, misconfigurations, default-logins]'),\n ('Quick-Reconnaissance-Fast-Discovery-Lightweight-Asset-Enumeration', 'subdomain_discovery:\\n enabled: true\\n tools: [subfinder, assetfinder]\\n timeout: {timeout}\\n passive_only: true\\nport_scanning:\\n enabled: true\\n top_ports: {ports}\\n rate: {rate}'),\n ('Deep-Vulnerability-Assessment-Extended-Security-Analysis-Framework', 'vulnerability_scanning:\\n enabled: true\\n nuclei:\\n severity: critical,high,medium,low,info\\n templates: [cves, vulnerabilities, exposures, misconfigurations, default-logins, takeovers]\\n rate_limit: {rate}\\n concurrency: {conc}\\n dalfox:\\n enabled: true\\n blind_xss: true\\n sqlmap:\\n enabled: true\\n level: 3\\n risk: 2'),\n ('Passive-Information-Gathering-OSINT-Intelligence-Collection-Platform', 'subdomain_discovery:\\n enabled: true\\n passive_only: true\\n sources: [crtsh, hackertarget, threatcrowd, virustotal, securitytrails, shodan, censys, binaryedge]\\n timeout: {timeout}\\n dns_bruteforce: false'),\n ('Web-Application-Security-Scanner-OWASP-Compliance-Testing-Suite', 'web_discovery:\\n enabled: true\\n httpx:\\n threads: {conc}\\n follow_redirects: true\\n screenshot: true\\nvulnerability_scanning:\\n enabled: true\\n dalfox:\\n enabled: true\\n blind_xss: true\\n nuclei:\\n templates: [cves, vulnerabilities, exposures]'),\n ('API-Endpoint-Security-Audit-RESTful-GraphQL-Assessment-Tool', 'endpoint_discovery:\\n enabled: true\\n katana:\\n depth: {depth}\\n concurrency: {conc}\\n js_crawl: true\\n automatic_form_fill: true\\nvulnerability_scanning:\\n enabled: true\\n nuclei:\\n templates: [exposures, misconfigurations]'),\n ('Infrastructure-Port-Scanner-Network-Service-Detection-Engine', 'port_scanning:\\n enabled: true\\n naabu:\\n top_ports: {ports}\\n rate: {rate}\\n scan_all_ips: true\\n service_detection: true\\n version_detection: true\\n os_detection: true'),\n ('Directory-Bruteforce-Engine-Content-Discovery-Fuzzing-Platform', 'directory_bruteforce:\\n enabled: true\\n ffuf:\\n threads: {conc}\\n wordlist: [common.txt, raft-large-directories.txt, raft-large-files.txt]\\n recursion_depth: {depth}\\n extensions: [php, asp, aspx, jsp, html, js, json, xml]'),\n ('Cloud-Infrastructure-Security-Assessment-AWS-Azure-GCP-Scanner', 'cloud_scanning:\\n enabled: true\\n providers: [aws, azure, gcp]\\n services: [s3, ec2, rds, lambda, storage, compute, sql]\\n misconfigurations: true\\n public_exposure: true'),\n ('Container-Security-Scanner-Kubernetes-Docker-Vulnerability-Detector', 'container_scanning:\\n enabled: true\\n kubernetes:\\n enabled: true\\n rbac_audit: true\\n network_policies: true\\n docker:\\n enabled: true\\n image_scanning: true\\n dockerfile_lint: true'),\n ('Mobile-Application-Security-Testing-iOS-Android-Assessment-Framework', 'mobile_scanning:\\n enabled: true\\n platforms: [ios, android]\\n static_analysis: true\\n dynamic_analysis: true\\n api_testing: true\\n ssl_pinning_bypass: true'),\n ('Compliance-Audit-Scanner-PCI-DSS-HIPAA-SOC2-Assessment-Tool', 'compliance_scanning:\\n enabled: true\\n frameworks: [pci-dss, hipaa, soc2, gdpr, iso27001]\\n automated_reporting: true\\n evidence_collection: true'),\n ]\n \n # 随机选择 8-12 个引擎模板\n num_engines = random.randint(8, 12)\n selected = random.sample(engine_templates, min(num_engines, len(engine_templates)))\n \n ids = []\n for name_base, config_template in selected:\n name = f'{name_base}-{suffix}'\n config = config_template.format(\n rate=random.choice([100, 150, 200, 300]),\n conc=random.choice([10, 20, 50, 100]),\n timeout=random.choice([300, 600, 900, 1200]),\n ports=random.choice([100, 1000, 'full']),\n depth=random.choice([2, 3, 4, 5])\n )\n cur.execute(\"\"\"\n INSERT INTO scan_engine (name, configuration, created_at, updated_at)\n VALUES (%s, %s, NOW(), NOW())\n ON CONFLICT (name) DO UPDATE SET configuration = EXCLUDED.configuration, updated_at = NOW()\n RETURNING id\n \"\"\", (name, config))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n print(f\" ✓ 创建了 {len(ids)} 个扫描引擎\\n\")\n return ids\n\n def create_organizations(self) -> list:\n \"\"\"创建组织\"\"\"\n print(\"🏢 创建组织...\")\n cur = self.conn.cursor()\n \n suffix = random.randint(1000, 9999)\n \n org_templates = [\n ('Acme Corporation', '全球领先的技术解决方案提供商，专注于企业级软件开发、云计算服务和网络安全解决方案。公司成立于1995年，总部位于硅谷，在全球50多个国家设有分支机构，员工超过10万人，年营收超过500亿美元。'),\n ('TechStart Innovation Labs', '专注于人工智能、机器学习和区块链技术研发的创新实验室。拥有超过200名博士级研究人员，与全球顶尖大学建立了深度合作关系，已获得超过500项技术专利。'),\n ('Global Financial Services', '提供全方位数字银行服务的金融科技公司，包括移动支付、在线贷款、投资理财等服务。服务覆盖全球180个国家和地区，注册用户超过5亿，日均交易额超过100亿美元。'),\n ('HealthCare Plus Medical', '医疗信息化解决方案提供商，专注于电子病历系统、医院信息管理系统和远程医疗平台开发。产品已部署在全球3000多家医疗机构，服务超过1亿患者。'),\n ('E-Commerce Mega Platform', '亚太地区最大的电子商务平台之一，提供 B2B、B2C 和 C2C 多种交易模式。平台入驻商家超过500万，SKU数量超过10亿，日均订单量超过5000万单。'),\n ('Smart City Infrastructure', '智慧城市基础设施解决方案提供商，专注于物联网传感器网络、智能交通系统、城市大脑平台开发。已在全球100多个城市部署智慧城市解决方案，管理超过1000万个IoT设备。'),\n ('Educational Technology', '在线教育技术联盟，提供 K-12 和高等教育在线学习平台。平台拥有超过10万门课程，注册学员超过1亿人，与全球500多所知名大学建立了合作关系。'),\n ('Green Energy Solutions', '可再生能源管理系统提供商，专注于太阳能、风能发电站的监控、调度和优化管理。管理的清洁能源装机容量超过100GW，每年减少碳排放超过5000万吨。'),\n ('CyberSec Defense Corp', '网络安全防御公司，提供渗透测试、漏洞评估和安全咨询服务。拥有超过1000名认证安全专家，服务全球500强企业中的300多家，年处理安全事件超过100万起。'),\n ('CloudNative Systems', '云原生系统开发商，专注于 Kubernetes、微服务架构和 DevOps 工具链。产品被全球超过10万家企业采用，管理的容器实例超过1亿个，是CNCF的核心贡献者。'),\n ('DataFlow Analytics', '大数据分析平台，提供实时数据处理、商业智能和预测分析服务。平台日处理数据量超过100PB，支持超过1000种数据源接入，服务全球5000多家企业客户。'),\n ('MobileFirst Technologies', '移动优先技术公司，专注于 iOS/Android 应用开发和跨平台解决方案。已开发超过5000款移动应用，累计下载量超过50亿次，月活跃用户超过10亿。'),\n ('Quantum Computing Research', '量子计算研究机构，致力于量子算法、量子纠错和量子网络的前沿研究。拥有全球最先进的量子计算机之一，已实现1000+量子比特的稳定运算。'),\n ('Autonomous Vehicles Corp', '自动驾驶技术公司，专注于L4/L5级别自动驾驶系统研发。测试车队已累计行驶超过1亿公里，在全球20个城市开展商业化运营。'),\n ('Biotech Innovations', '生物技术创新企业，专注于基因编辑、细胞治疗和精准医疗。拥有超过100项生物技术专利，多款创新药物已进入临床试验阶段。'),\n ('Space Technology Systems', '航天技术系统公司，提供卫星通信、遥感数据和太空探索服务。已成功发射超过500颗卫星，建立了覆盖全球的低轨卫星互联网星座。'),\n ]\n \n divisions = ['Global Division', 'Asia Pacific', 'EMEA Region', 'Americas', 'R&D Center', 'Digital Platform', \n 'Cloud Services', 'Security Team', 'Innovation Lab', 'Enterprise Solutions', 'Consumer Products',\n 'Infrastructure Services', 'Data Analytics', 'AI Research', 'Mobile Development', 'DevOps Platform']\n \n # 随机选择 15-20 个组织\n num_orgs = random.randint(15, 20)\n selected = random.sample(org_templates, min(num_orgs, len(org_templates)))\n \n ids = []\n for name_base, _ in selected:\n division = random.choice(divisions)\n name = f'{name_base} - {division} ({suffix})'\n # 生成固定 300 长度的描述\n desc = generate_fixed_length_text(length=300, text_type='organization')\n cur.execute(\"\"\"\n INSERT INTO organization (name, description, created_at, deleted_at)\n VALUES (%s, %s, NOW() - INTERVAL '%s days', NULL)\n ON CONFLICT DO NOTHING\n RETURNING id\n \"\"\", (name, desc, random.randint(0, 365)))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n print(f\" ✓ 创建了 {len(ids)} 个组织\\n\")\n return ids\n\n\n def create_targets(self, org_ids: list) -> list:\n \"\"\"创建扫描目标\"\"\"\n print(\"🎯 创建扫描目标...\")\n cur = self.conn.cursor()\n \n suffix = random.randint(1000, 9999)\n \n # 超长域名生成，目标 200 字符左右\n # 格式: {env}-{region}-{service}-{version}.{subdomain}.{company}-{project}-{team}-{suffix}.{domain}{tld}\n envs = ['production', 'staging', 'development', 'testing', 'integration', 'performance', 'security-audit']\n regions = ['us-east-1', 'us-west-2', 'eu-central-1', 'ap-southeast-1', 'ap-northeast-1', 'sa-east-1', 'eu-west-3']\n services = ['api-gateway', 'authentication-service', 'user-management', 'payment-processing', 'notification-center', 'analytics-engine', 'content-delivery', 'search-indexer']\n versions = ['v1', 'v2', 'v3', 'v2-beta', 'v3-alpha', 'v1-legacy', 'v2-stable']\n subdomains = ['internal-services', 'external-facing', 'partner-integration', 'customer-portal', 'admin-dashboard', 'developer-tools', 'monitoring-system']\n companies = ['acme-corporation-international', 'techstart-innovation-labs', 'globalfinance-services-group', 'healthcare-plus-medical-systems', 'ecommerce-platform-solutions', 'smartcity-infrastructure-development', 'cybersecurity-defense-corporation', 'cloudnative-enterprise-systems']\n projects = ['digital-transformation-initiative', 'cloud-migration-project', 'security-enhancement-program', 'customer-experience-platform', 'data-analytics-modernization', 'infrastructure-automation-suite']\n teams = ['engineering-team-alpha', 'devops-squad-bravo', 'security-team-charlie', 'platform-team-delta', 'infrastructure-team-echo']\n domains = ['enterprise', 'platform', 'services', 'solutions', 'systems']\n tlds = ['.com', '.io', '.net', '.org', '.dev', '.app', '.cloud', '.tech', '.systems']\n \n ids = []\n \n # 随机生成 100-150 个域名目标\n num_domains = random.randint(100, 150)\n used_domains = set()\n \n for i in range(num_domains):\n env = random.choice(envs)\n region = random.choice(regions)\n service = random.choice(services)\n version = random.choice(versions)\n subdomain = random.choice(subdomains)\n company = random.choice(companies)\n project = random.choice(projects)\n team = random.choice(teams)\n domain_name = random.choice(domains)\n tld = random.choice(tlds)\n # 生成超长域名，约 150-200 字符\n domain = f'{env}-{region}-{service}-{version}.{subdomain}.{company}-{project}-{team}-{suffix}.{domain_name}{tld}'\n \n if domain in used_domains:\n continue\n used_domains.add(domain)\n \n cur.execute(\"\"\"\n INSERT INTO target (name, type, created_at, last_scanned_at, deleted_at)\n VALUES (%s, 'domain', NOW() - INTERVAL '%s days', NOW() - INTERVAL '%s days', NULL)\n ON CONFLICT DO NOTHING\n RETURNING id\n \"\"\", (domain, random.randint(30, 365), random.randint(0, 30)))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n # 随机关联到组织\n if org_ids:\n # 20% 概率关联多个组织(3-5个)，50% 概率关联1个组织，30% 不关联\n rand_val = random.random()\n if rand_val < 0.2:\n # 关联多个组织 (3-5个)\n num_orgs = min(random.randint(3, 5), len(org_ids))\n selected_orgs = random.sample(org_ids, num_orgs)\n for org_id in selected_orgs:\n cur.execute(\"\"\"\n INSERT INTO organization_targets (organization_id, target_id)\n VALUES (%s, %s)\n ON CONFLICT DO NOTHING\n \"\"\", (org_id, row[0]))\n elif rand_val < 0.7:\n # 关联1个组织\n org_id = random.choice(org_ids)\n cur.execute(\"\"\"\n INSERT INTO organization_targets (organization_id, target_id)\n VALUES (%s, %s)\n ON CONFLICT DO NOTHING\n \"\"\", (org_id, row[0]))\n \n # 随机生成 50-80 个 IP 目标\n num_ips = random.randint(50, 80)\n for _ in range(num_ips):\n # 使用文档保留的 IP 范围\n ip_ranges = [\n (203, 0, 113), # TEST-NET-3\n (198, 51, 100), # TEST-NET-2\n (192, 0, 2), # TEST-NET-1\n ]\n base = random.choice(ip_ranges)\n ip = f'{base[0]}.{base[1]}.{base[2]}.{random.randint(1, 254)}'\n \n cur.execute(\"\"\"\n INSERT INTO target (name, type, created_at, last_scanned_at, deleted_at)\n VALUES (%s, 'ip', NOW() - INTERVAL '%s days', NOW() - INTERVAL '%s days', NULL)\n ON CONFLICT DO NOTHING\n RETURNING id\n \"\"\", (ip, random.randint(30, 365), random.randint(0, 30)))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n # 随机生成 30-50 个 CIDR 目标\n num_cidrs = random.randint(30, 50)\n cidr_bases = ['10.0', '172.16', '172.17', '172.18', '192.168']\n for _ in range(num_cidrs):\n base = random.choice(cidr_bases)\n third_octet = random.randint(0, 255)\n mask = random.choice([24, 25, 26, 27, 28])\n cidr = f'{base}.{third_octet}.0/{mask}'\n \n cur.execute(\"\"\"\n INSERT INTO target (name, type, created_at, last_scanned_at, deleted_at)\n VALUES (%s, 'cidr', NOW() - INTERVAL '%s days', NOW() - INTERVAL '%s days', NULL)\n ON CONFLICT DO NOTHING\n RETURNING id\n \"\"\", (cidr, random.randint(30, 365), random.randint(0, 30)))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n print(f\" ✓ 创建了 {len(ids)} 个扫描目标\\n\")\n return ids\n\n def create_scans(self, target_ids: list, engine_ids: list, worker_ids: list) -> list:\n \"\"\"创建扫描任务\"\"\"\n print(\"🔍 创建扫描任务...\")\n cur = self.conn.cursor()\n \n if not target_ids or not engine_ids:\n print(\" ⚠ 缺少目标或引擎，跳过\\n\")\n return []\n \n statuses = ['cancelled', 'completed', 'failed', 'initiated', 'running']\n status_weights = [0.05, 0.6, 0.1, 0.1, 0.15] # completed 占比最高\n stages = ['subdomain_discovery', 'port_scanning', 'web_discovery', 'vulnerability_scanning', 'directory_bruteforce', 'endpoint_discovery']\n \n error_messages = [\n 'Connection timeout while scanning target. Please check network connectivity.',\n 'DNS resolution failed for target domain.',\n 'Rate limit exceeded. Scan paused and will resume automatically.',\n 'Worker node disconnected during scan execution.',\n 'Insufficient disk space on worker node.',\n 'Target returned too many errors, scan aborted.',\n 'Authentication failed for protected resources.',\n ]\n \n # 获取引擎名称映射\n cur.execute(\"SELECT id, name FROM scan_engine WHERE id = ANY(%s)\", (engine_ids,))\n engine_name_map = {row[0]: row[1] for row in cur.fetchall()}\n \n ids = []\n # 随机选择目标数量 - 增加到 80-120 个\n num_targets = min(random.randint(80, 120), len(target_ids))\n selected_targets = random.sample(target_ids, num_targets)\n \n for target_id in selected_targets:\n # 每个目标随机 3-15 个扫描任务\n num_scans = random.randint(3, 15)\n for _ in range(num_scans):\n status = random.choices(statuses, weights=status_weights)[0]\n # 随机选择 1-3 个引擎\n num_engines = random.randint(1, min(3, len(engine_ids)))\n selected_engine_ids = random.sample(engine_ids, num_engines)\n selected_engine_names = [engine_name_map.get(eid, f'Engine-{eid}') for eid in selected_engine_ids]\n worker_id = random.choice(worker_ids) if worker_ids else None\n \n progress = random.randint(10, 95) if status == 'running' else (100 if status == 'completed' else random.randint(0, 50))\n stage = random.choice(stages) if status == 'running' else ''\n error_msg = random.choice(error_messages) if status == 'failed' else ''\n \n # 随机生成更真实的统计数据\n subdomains = random.randint(50, 2000)\n websites = random.randint(10, 500)\n endpoints = random.randint(100, 5000)\n ips = random.randint(20, 300)\n directories = random.randint(200, 8000)\n vulns_critical = random.randint(0, 20)\n vulns_high = random.randint(0, 50)\n vulns_medium = random.randint(0, 100)\n vulns_low = random.randint(0, 150)\n vulns_total = vulns_critical + vulns_high + vulns_medium + vulns_low + random.randint(0, 100) # info\n \n days_ago = random.randint(0, 90)\n \n cur.execute(\"\"\"\n INSERT INTO scan (\n target_id, engine_ids, engine_names, yaml_configuration, status, worker_id, progress, current_stage,\n results_dir, error_message, container_ids, stage_progress,\n cached_subdomains_count, cached_websites_count, cached_endpoints_count,\n cached_ips_count, cached_directories_count, cached_screenshots_count, cached_vulns_total,\n cached_vulns_critical, cached_vulns_high, cached_vulns_medium, cached_vulns_low,\n created_at, stopped_at, deleted_at\n ) VALUES (\n %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,\n %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,\n NOW() - INTERVAL '%s days', %s, NULL\n )\n RETURNING id\n \"\"\", (\n target_id, selected_engine_ids, json.dumps(selected_engine_names), '', status, worker_id, progress, stage,\n f'/app/results/scan_{target_id}_{random.randint(1000, 9999)}', error_msg, '{}', '{}',\n subdomains, websites, endpoints, ips, directories, 0, vulns_total,\n vulns_critical, vulns_high, vulns_medium, vulns_low,\n days_ago,\n datetime.now() - timedelta(days=days_ago, hours=random.randint(0, 23)) if status in ['completed', 'failed', 'cancelled'] else None\n ))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n print(f\" ✓ 创建了 {len(ids)} 个扫描任务\\n\")\n return ids\n\n def create_scheduled_scans(self, org_ids: list, target_ids: list, engine_ids: list):\n \"\"\"创建定时扫描任务\"\"\"\n print(\"⏰ 创建定时扫描任务...\")\n cur = self.conn.cursor()\n \n if not engine_ids:\n print(\" ⚠ 缺少引擎，跳过\\n\")\n return\n \n suffix = random.randint(1000, 9999)\n \n schedule_templates = [\n ('Daily-Full-Security-Assessment-Enterprise-Wide-Comprehensive-Vulnerability-Detection', '0 {hour} * * *'),\n ('Weekly-Vulnerability-Scan-Critical-Infrastructure-Protection-Program', '0 {hour} * * {dow}'),\n ('Monthly-Penetration-Testing-External-Attack-Surface-Management', '0 {hour} {dom} * *'),\n ('Hourly-Quick-Reconnaissance-Real-Time-Threat-Intelligence-Gathering', '{min} * * * *'),\n ('Bi-Weekly-Compliance-Check-Regulatory-Standards-Verification-Audit', '0 {hour} 1,15 * *'),\n ('Quarterly-Infrastructure-Audit-Network-Security-Posture-Assessment', '0 {hour} 1 1,4,7,10 *'),\n ('Daily-API-Security-Scan-RESTful-GraphQL-Endpoint-Protection', '{min} {hour} * * *'),\n ('Weekly-Web-Application-Scan-OWASP-Top-10-Vulnerability-Detection', '0 {hour} * * {dow}'),\n ('Nightly-Asset-Discovery-Shadow-IT-Detection-Inventory-Management', '0 {hour} * * *'),\n ('Weekend-Deep-Scan-Intensive-Security-Analysis-Full-Coverage', '0 {hour} * * 0,6'),\n ('Business-Hours-Monitor-Real-Time-Security-Event-Detection-Response', '0 9-17 * * 1-5'),\n ('Off-Hours-Intensive-Scan-Low-Impact-Comprehensive-Assessment', '0 {hour} * * *'),\n ('Continuous-Monitoring-Zero-Day-Vulnerability-Detection-System', '{min} * * * *'),\n ('Cloud-Infrastructure-Security-Assessment-AWS-Azure-GCP-Multi-Cloud', '0 {hour} * * *'),\n ('Container-Security-Scan-Kubernetes-Docker-Image-Vulnerability-Check', '0 {hour} * * {dow}'),\n ('Database-Security-Audit-SQL-Injection-Data-Exposure-Prevention', '0 {hour} {dom} * *'),\n ('Network-Perimeter-Scan-Firewall-Configuration-Compliance-Check', '0 {hour} * * *'),\n ('SSL-TLS-Certificate-Monitoring-Expiration-Vulnerability-Detection', '0 {hour} * * *'),\n ('DNS-Security-Assessment-Zone-Transfer-Subdomain-Takeover-Check', '0 {hour} * * {dow}'),\n ('Email-Security-Scan-SPF-DKIM-DMARC-Configuration-Verification', '0 {hour} {dom} * *'),\n ('Mobile-Application-Security-Testing-iOS-Android-API-Assessment', '0 {hour} * * *'),\n ('IoT-Device-Security-Scan-Firmware-Vulnerability-Network-Exposure', '0 {hour} * * {dow}'),\n ('Third-Party-Risk-Assessment-Vendor-Security-Posture-Evaluation', '0 {hour} 1 * *'),\n ('Incident-Response-Readiness-Security-Control-Effectiveness-Test', '0 {hour} 15 * *'),\n ('Ransomware-Prevention-Scan-Backup-Integrity-Recovery-Verification', '0 {hour} * * *'),\n ]\n \n # 随机选择 40-50 个定时任务\n num_schedules = random.randint(40, 50)\n selected = random.sample(schedule_templates, min(num_schedules, len(schedule_templates)))\n \n # 获取引擎名称映射\n cur.execute(\"SELECT id, name FROM scan_engine WHERE id = ANY(%s)\", (engine_ids,))\n engine_name_map = {row[0]: row[1] for row in cur.fetchall()}\n \n count = 0\n for name_base, cron_template in selected:\n name = f'{name_base}-{suffix}-{count:02d}'\n cron = cron_template.format(\n hour=random.randint(0, 23),\n min=random.randint(0, 59),\n dow=random.randint(0, 6),\n dom=random.randint(1, 28)\n )\n enabled = random.random() > 0.3 # 70% 启用\n \n # 随机选择 1-3 个引擎\n num_engines = random.randint(1, min(3, len(engine_ids)))\n selected_engine_ids = random.sample(engine_ids, num_engines)\n selected_engine_names = [engine_name_map.get(eid, f'Engine-{eid}') for eid in selected_engine_ids]\n \n # 随机决定关联组织还是目标\n if org_ids and target_ids:\n if random.random() > 0.5:\n org_id = random.choice(org_ids)\n target_id = None\n else:\n org_id = None\n target_id = random.choice(target_ids)\n elif org_ids:\n org_id = random.choice(org_ids)\n target_id = None\n elif target_ids:\n org_id = None\n target_id = random.choice(target_ids)\n else:\n org_id = None\n target_id = None\n \n run_count = random.randint(0, 200)\n has_run = random.random() > 0.2 # 80% 已运行过\n \n cur.execute(\"\"\"\n INSERT INTO scheduled_scan (\n name, engine_ids, engine_names, yaml_configuration, organization_id, target_id, cron_expression, is_enabled,\n run_count, last_run_time, next_run_time, created_at, updated_at\n ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW() - INTERVAL '%s days', NOW())\n ON CONFLICT DO NOTHING\n \"\"\", (\n name, selected_engine_ids, json.dumps(selected_engine_names), '', org_id, target_id, cron, enabled,\n run_count if has_run else 0,\n datetime.now() - timedelta(days=random.randint(0, 14), hours=random.randint(0, 23)) if has_run else None,\n datetime.now() + timedelta(hours=random.randint(1, 336)) # 最多 2 周后\n , random.randint(30, 180)))\n count += 1\n \n print(f\" ✓ 创建了 {count} 个定时扫描任务\\n\")\n\n\n def create_subdomains(self, target_ids: list):\n \"\"\"创建子域名\"\"\"\n print(\"🌐 创建子域名...\")\n cur = self.conn.cursor()\n \n prefixes = [\n # 基础服务\n 'api', 'admin', 'portal', 'dashboard', 'app', 'mobile', 'staging', 'dev',\n 'test', 'qa', 'uat', 'beta', 'alpha', 'demo', 'sandbox', 'internal',\n 'secure', 'auth', 'login', 'sso', 'oauth', 'identity', 'accounts',\n 'mail', 'smtp', 'imap', 'webmail', 'ftp', 'sftp', 'files', 'storage',\n 'cdn', 'static', 'assets', 'media', 'db', 'database', 'mysql', 'postgres',\n 'redis', 'mongo', 'elastic', 'vpn', 'remote', 'gateway', 'proxy',\n 'monitoring', 'metrics', 'grafana', 'prometheus', 'kibana', 'logs',\n 'jenkins', 'ci', 'cd', 'gitlab', 'jira', 'confluence', 'kubernetes', 'k8s',\n 'www', 'www2', 'www3', 'ns1', 'ns2', 'mx', 'mx1', 'mx2', 'autodiscover',\n 'webdisk', 'cpanel', 'whm', 'webmail2', 'email', 'smtp2', 'pop', 'pop3',\n 'imap2', 'calendar', 'contacts', 'drive', 'docs', 'sheets', 'slides',\n 'meet', 'chat', 'teams', 'slack', 'discord', 'zoom', 'video', 'stream',\n 'blog', 'news', 'press', 'media2', 'images', 'img', 'photos', 'video2',\n 'shop', 'store', 'cart', 'checkout', 'pay', 'payment', 'billing', 'invoice',\n 'support', 'help', 'helpdesk', 'ticket', 'tickets', 'status', 'health',\n 'api-v1', 'api-v2', 'api-v3', 'graphql', 'rest', 'soap', 'rpc', 'grpc',\n # 扩展服务\n 'analytics', 'reporting', 'bi', 'data', 'warehouse', 'etl', 'pipeline',\n 'ml', 'ai', 'inference', 'training', 'model', 'prediction', 'recommendation',\n 'search', 'solr', 'elasticsearch', 'opensearch', 'algolia', 'typesense',\n 'cache', 'memcached', 'varnish', 'haproxy', 'loadbalancer', 'nginx-lb',\n 'queue', 'rabbitmq', 'kafka', 'pulsar', 'nats', 'activemq', 'sqs',\n 'workflow', 'airflow', 'prefect', 'dagster', 'temporal', 'conductor',\n 'registry', 'harbor', 'nexus', 'artifactory', 'pypi', 'npm-registry',\n 'vault', 'secrets', 'keycloak', 'okta', 'auth0', 'cognito', 'firebase-auth',\n 'notification', 'push', 'websocket', 'socket', 'realtime', 'pubsub',\n 'backup', 'archive', 'snapshot', 'restore', 'disaster-recovery', 'dr',\n 'audit', 'compliance', 'security', 'waf', 'firewall', 'ids', 'ips',\n 'tracing', 'jaeger', 'zipkin', 'tempo', 'honeycomb', 'lightstep',\n 'config', 'consul', 'etcd', 'zookeeper', 'nacos', 'apollo-config',\n 'service-mesh', 'istio', 'linkerd', 'envoy', 'traefik', 'kong',\n ]\n \n # 二级前缀，用于生成更复杂的子域名\n secondary_prefixes = ['', 'prod-', 'dev-', 'staging-', 'test-', 'int-', 'ext-', 'us-', 'eu-', 'ap-', \n 'us-east-', 'us-west-', 'eu-central-', 'ap-southeast-', 'ap-northeast-',\n 'primary-', 'secondary-', 'backup-', 'dr-', 'canary-', 'blue-', 'green-']\n \n # 获取域名目标\n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n for target_id, target_name in domain_targets:\n # 每个目标随机 80-150 个子域名\n num = random.randint(80, 150)\n selected = random.sample(prefixes, min(num, len(prefixes)))\n \n for prefix in selected:\n # 随机添加二级前缀\n sec_prefix = random.choice(secondary_prefixes) if random.random() > 0.7 else ''\n subdomain_name = f'{sec_prefix}{prefix}.{target_name}'\n days_ago = random.randint(0, 90)\n batch_data.append((subdomain_name, target_id, days_ago))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO subdomain (name, target_id, created_at)\n VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, NOW() - INTERVAL '%s days')\")\n \n print(f\" ✓ 创建了 {count} 个子域名\\n\")\n\n def create_websites(self, target_ids: list) -> list:\n \"\"\"创建网站\"\"\"\n print(\"🌍 创建网站...\")\n cur = self.conn.cursor()\n \n titles = [\n 'Enterprise Resource Planning System - Comprehensive Dashboard | Acme Corporation International Global Operations Management Portal v3.2.1 - Integrated Business Process Automation and Real-time Analytics Platform for Enterprise-wide Resource Optimization',\n 'Customer Relationship Management Platform - Secure Login Portal | Multi-Factor Authentication Enabled - Advanced Customer Data Analytics and Sales Pipeline Management System with AI-Powered Insights and Predictive Modeling',\n 'Human Resources Information System - Employee Self Service Portal v3.2.1 | Comprehensive Payroll Benefits Time-Off Management - Performance Review Talent Acquisition Onboarding Workflow Automation Platform',\n 'Supply Chain Management - Global Logistics Tracking Dashboard | Real-time Updates - Worldwide Distribution Network Monitor with Predictive Analytics Inventory Optimization and Supplier Relationship Management',\n 'Business Intelligence Analytics - Executive Summary Report Generator | Advanced Data Visualization Decision Support System - Machine Learning Powered Predictive Analytics and Custom Dashboard Builder',\n 'Content Management System - Admin Panel | Headless CMS API Gateway - Multi-tenant Enterprise Publishing Platform with Workflow Automation Digital Asset Management and Multi-language Support',\n 'Project Management Collaboration Tools - Team Workspace | Agile Board - Sprint Planning Resource Allocation Time Tracking Budget Management Gantt Charts Kanban Boards and Team Communication Hub',\n 'E-Commerce Platform - Product Catalog Management | Inventory Control - Order Processing Fulfillment System with Multi-channel Sales Integration Payment Gateway and Customer Analytics Dashboard',\n 'Financial Trading Platform - Real-time Market Data Dashboard | Portfolio Management Risk Analysis System - Algorithmic Trading Support Technical Analysis Tools and Regulatory Compliance Reporting',\n 'Healthcare Patient Management System - Electronic Health Records | HIPAA Compliant Medical Information Portal - Appointment Scheduling Prescription Management Lab Results Integration and Telemedicine Support',\n ]\n \n webservers = ['nginx/1.24.0', 'nginx/1.25.3', 'nginx/1.26.0', 'Apache/2.4.57', 'Apache/2.4.58', 'Apache/2.4.59', \n 'Microsoft-IIS/10.0', 'Microsoft-IIS/8.5', 'Microsoft-IIS/7.5', 'cloudflare', \n 'gunicorn/21.2.0', 'gunicorn/22.0.0', 'gunicorn/23.0.0', 'uvicorn/0.24.0', 'uvicorn/0.25.0',\n 'Caddy/2.7.5', 'Caddy/2.8.0', 'LiteSpeed', 'LiteSpeed/6.1', 'OpenResty/1.21.4', 'OpenResty/1.25.3',\n 'Tomcat/10.1.15', 'Tomcat/9.0.83', 'Jetty/11.0.18', 'Jetty/12.0.5', 'WildFly/30.0.0',\n 'Kestrel', 'Puma/6.4.0', 'Unicorn/6.1.0', 'Passenger/6.0.18', 'Waitress/2.1.2',\n 'Hypercorn/0.16.0', 'Daphne/4.0.0', 'Twisted/23.10.0', 'CherryPy/18.9.0']\n tech_stacks = [\n ['React 18.2.0', 'React Router 6.21', 'Redux Toolkit 2.0', 'RTK Query', 'Node.js 20.10 LTS', 'Express 4.18.2', 'MongoDB 7.0.4', 'Mongoose 8.0', 'Redis 7.2.3', 'Bull Queue 4.12', 'Nginx 1.25.3', 'Docker 24.0', 'Kubernetes 1.28.4', 'Helm 3.13', 'Prometheus 2.48', 'Grafana 10.2'],\n ['Vue.js 3.4.5', 'Vuex 4.1', 'Vue Router 4.2', 'Pinia 2.1', 'Nuxt 3.9.0', 'Django 5.0.1', 'Django REST Framework 3.14', 'PostgreSQL 16.1', 'Celery 5.3.6', 'RabbitMQ 3.12.10', 'Gunicorn 21.2', 'Nginx 1.25', 'Docker Compose', 'Prometheus', 'Grafana', 'Sentry'],\n ['Angular 17.1.0', 'NgRx 17.0', 'RxJS 7.8', 'Angular Material 17', 'Spring Boot 3.2.1', 'Spring Security 6.2', 'Spring Data JPA', 'MySQL 8.2.0', 'Elasticsearch 8.11.3', 'Apache Kafka 3.6.1', 'Grafana 10.2', 'Jenkins 2.426', 'SonarQube 10.3', 'JUnit 5.10', 'Mockito 5.8'],\n ['Next.js 14.0.4', 'React 18.2', 'TypeScript 5.3', 'Tailwind CSS 3.4', 'FastAPI 0.109.0', 'Pydantic 2.5', 'SQLAlchemy 2.0', 'Redis 7.2', 'PostgreSQL 16', 'Docker 24.0', 'Kubernetes 1.28', 'Istio 1.20', 'ArgoCD 2.9', 'Prometheus', 'Grafana', 'Jaeger'],\n ['Svelte 4.2.8', 'SvelteKit 2.0.6', 'TypeScript 5.3', 'Tailwind CSS 3.4', 'Go 1.21.5', 'Gin 1.9', 'GORM 1.25', 'CockroachDB 23.2', 'NATS 2.10.7', 'Traefik 3.0', 'Consul 1.17', 'Vault 1.15', 'Terraform 1.6', 'Prometheus', 'Grafana', 'Loki'],\n ['React 18.2.0', 'NestJS 10.3.0', 'TypeORM 0.3.17', 'GraphQL 16.8', 'Apollo Server 4.10', 'PostgreSQL 16.1', 'Bull 4.12', 'Redis 7.2.3', 'Swagger 7.1', 'Jest 29.7', 'Supertest 6.3', 'Docker', 'Kubernetes', 'Helm', 'ArgoCD', 'Datadog'],\n ['Vue.js 3.4.5', 'Inertia.js 1.0', 'Laravel 10.40', 'PHP 8.3', 'MySQL 8.2', 'Redis 7.2', 'Laravel Horizon 5.21', 'Laravel Telescope', 'Nginx 1.25', 'Vite 5.0', 'PHPUnit 10.5', 'Pest 2.28', 'Docker', 'GitHub Actions', 'Sentry', 'New Relic'],\n ['Angular 17.1', 'NgRx 17.0', '.NET 8.0', 'Entity Framework Core 8.0', 'ASP.NET Core 8.0', 'SQL Server 2022', 'Azure Service Bus', 'Azure Functions', 'IIS 10', 'SignalR 8.0', 'xUnit 2.6', 'Moq 4.20', 'Azure DevOps', 'Application Insights', 'Azure Monitor'],\n ]\n \n # 真实的 body preview 内容\n response_bodies = [\n 'Login - Enterprise Portal

',\n 'Dashboard
',\n '{\"status\":\"ok\",\"version\":\"2.4.1\",\"environment\":\"production\",\"timestamp\":\"2024-12-22T10:30:00Z\",\"services\":{\"database\":\"healthy\",\"cache\":\"healthy\",\"queue\":\"healthy\"},\"uptime\":864000}',\n '403 Forbidden

403 Forbidden

You don\\'t have permission to access this resource. Please contact the administrator if you believe this is an error.

nginx/1.24.0
',\n '系统维护中

系统正在维护中

预计恢复时间：2024-12-23 08:00

',\n '{\"error\":\"Unauthorized\",\"message\":\"Invalid or expired authentication token. Please login again.\",\"code\":\"AUTH_001\",\"timestamp\":\"2024-12-22T15:45:30.123Z\",\"path\":\"/api/v1/users/profile\"}',\n 'Welcome to nginx!

Welcome to nginx!

If you see this page, the nginx web server is successfully installed and working.

',\n '500Internal Server Error
An unexpected error occurred while processing your request. Please try again later or contact support.
req_abc123xyz789',\n 'Redirecting...

Redirecting to login page...

Click here if not redirected',\n '{\"data\":{\"user\":{\"id\":12345,\"username\":\"admin\",\"email\":\"admin@example.com\",\"role\":\"administrator\",\"lastLogin\":\"2024-12-21T18:30:00Z\",\"permissions\":[\"read\",\"write\",\"delete\",\"admin\"]},\"token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...\"}}',\n 'API Documentation - Swagger UI
',\n '{\"openapi\":\"3.0.3\",\"info\":{\"title\":\"Enterprise API\",\"description\":\"RESTful API for enterprise resource management\",\"version\":\"1.0.0\",\"contact\":{\"email\":\"api-support@example.com\"}},\"servers\":[{\"url\":\"https://api.example.com/v1\"}]}',\n '404 Not Found

404

Page not found

',\n 'PING OK - Packet loss = 0%, RTA = 0.45 ms|rta=0.450000ms;100.000000;500.000000;0.000000 pl=0%;20;60;0',\n '{\"metrics\":{\"requests_total\":1234567,\"requests_per_second\":450.5,\"avg_response_time_ms\":23.4,\"error_rate\":0.02,\"active_connections\":1250,\"memory_usage_mb\":2048,\"cpu_usage_percent\":45.6}}',\n 'Under Construction
  _   _           _             ____                _                   _   _             \\n | | | |_ __   __| | ___ _ __  / ___|___  _ __  ___| |_ _ __ _   _  ___| |_(_) ___  _ __  \\n | | | | \\'_ \\\\ / _` |/ _ \\\\ \\'__|| |   / _ \\\\| \\'_ \\\\/ __| __| \\'__| | | |/ __| __| |/ _ \\\\| \\'_ \\\\ \\n | |_| | | | | (_| |  __/ |   | |__| (_) | | | \\\\__ \\\\ |_| |  | |_| | (__| |_| | (_) | | | |\\n  \\\\___/|_| |_|\\\\__,_|\\\\___|_|    \\\\____\\\\___/|_| |_|___/\\\\__|_|   \\\\__,_|\\\\___|\\\\__|_|\\\\___/|_| |_|\\n

Coming Soon...

',\n '{\"success\":false,\"error\":{\"type\":\"ValidationError\",\"message\":\"Request validation failed\",\"details\":[{\"field\":\"email\",\"message\":\"Invalid email format\"},{\"field\":\"password\",\"message\":\"Password must be at least 8 characters\"}]}}',\n 'Server: Apache/2.4.57 (Ubuntu)\\nX-Powered-By: PHP/8.2.0\\nContent-Type: text/html; charset=UTF-8\\nSet-Cookie: PHPSESSID=abc123; path=/; HttpOnly; Secure\\n\\nphpinfo()PHP Version 8.2.0',\n ]\n \n # 获取域名目标\n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 80\")\n domain_targets = cur.fetchall()\n \n batch_data = []\n for target_id, target_name in domain_targets:\n for i in range(random.randint(15, 30)):\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'website/{i:04d}')\n \n # 生成模拟的响应头数据\n response_headers = {\n 'server': random.choice(['nginx', 'Apache', 'cloudflare', 'Microsoft-IIS/10.0']),\n 'content_type': 'text/html; charset=utf-8',\n 'x_powered_by': random.choice(['PHP/8.2', 'ASP.NET', 'Express', None]),\n 'x_frame_options': random.choice(['DENY', 'SAMEORIGIN', None]),\n 'strict_transport_security': 'max-age=31536000; includeSubDomains' if random.choice([True, False]) else None,\n 'set_cookie': f'session={random.randint(100000, 999999)}; HttpOnly; Secure' if random.choice([True, False]) else None,\n }\n # 移除 None 值\n response_headers = {k: v for k, v in response_headers.items() if v is not None}\n \n batch_data.append((\n url, target_id, target_name, random.choice(titles),\n random.choice(webservers), random.choice(tech_stacks),\n random.choice([200, 301, 302, 403, 404]),\n random.randint(1000, 500000), 'text/html; charset=utf-8',\n f'https://{target_name}/login' if random.choice([True, False]) else '',\n random.choice(response_bodies),\n random.choice([True, False, None]),\n generate_raw_response_headers(response_headers)\n ))\n \n # 批量插入\n ids = []\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO website (\n url, target_id, host, title, webserver, tech, status_code,\n content_length, content_type, location, response_body, vhost,\n response_headers, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n RETURNING id\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n ids = [row[0] for row in cur.fetchall()]\n \n print(f\" ✓ 创建了 {len(batch_data)} 个网站\\n\")\n return ids\n\n def create_endpoints(self, target_ids: list):\n \"\"\"创建端点\"\"\"\n print(\"🔗 创建端点...\")\n cur = self.conn.cursor()\n \n paths = [\n '/api/v1/users/authentication/login', '/api/v1/users/authentication/logout',\n '/api/v1/users/profile/settings/preferences', '/api/v2/products/catalog/categories/list',\n '/api/v2/orders/checkout/payment-processing', '/api/v3/analytics/dashboard/metrics/summary',\n '/graphql/query', '/graphql/mutation', '/admin/dashboard/overview',\n '/admin/users/management/list', '/admin/settings/configuration/system',\n '/portal/customer/account/billing-history', '/internal/health/readiness-check',\n '/internal/metrics/prometheus-endpoint', '/webhook/payment/stripe/callback',\n '/oauth/authorize', '/oauth/token', '/swagger/v1/swagger.json', '/openapi/v3/api-docs',\n # 扩展路径\n '/api/v1/organizations/enterprise/departments/teams/members/list',\n '/api/v2/inventory/warehouse/locations/zones/shelves/products',\n '/api/v3/reporting/financial/quarterly/revenue/breakdown/by-region',\n '/admin/system/configuration/security/authentication/providers/saml',\n '/admin/audit/logs/security/events/authentication/failures/export',\n '/portal/enterprise/dashboard/analytics/performance/metrics/realtime',\n '/internal/monitoring/infrastructure/kubernetes/pods/health/status',\n '/webhook/integration/salesforce/opportunity/stage-change/notification',\n '/api/v1/customers/enterprise/contracts/subscriptions/billing/invoices',\n '/api/v2/shipping/carriers/fedex/tracking/packages/delivery-status',\n '/api/v3/notifications/channels/email/templates/marketing/campaigns',\n '/admin/content/management/pages/blog/articles/drafts/review-queue',\n '/portal/support/tickets/priority/critical/escalation/management',\n '/internal/jobs/scheduler/cron/tasks/execution/history/logs',\n '/api/v1/search/elasticsearch/indices/products/documents/query',\n '/api/v2/cache/redis/clusters/primary/keys/invalidation/batch',\n '/api/v3/queue/rabbitmq/exchanges/notifications/bindings/routes',\n '/admin/database/migrations/schema/versions/rollback/history',\n '/portal/analytics/google/tag-manager/containers/tags/triggers',\n '/internal/secrets/vault/kv/applications/credentials/rotation',\n ]\n \n gf_patterns = [\n ['debug', 'config', 'api', 'json', 'upload', 'file', 'admin', 'auth', 'secrets', 'credentials'],\n ['backup', 'archive', 'debug', 'trace', 'log', 'error', 'exception', 'stack', 'dump', 'memory'],\n ['api', 'rest', 'graphql', 'websocket', 'grpc', 'soap', 'xml', 'json', 'yaml', 'protobuf'],\n ['auth', 'login', 'logout', 'session', 'token', 'jwt', 'oauth', 'saml', 'sso', 'mfa', 'otp', '2fa'],\n ['upload', 'download', 'file', 'attachment', 'document', 'image', 'video', 'audio', 'media', 'asset'],\n ['admin', 'dashboard', 'panel', 'console', 'management', 'settings', 'config', 'system', 'control'],\n ['database', 'sql', 'query', 'table', 'schema', 'migration', 'backup', 'restore', 'dump', 'export'],\n ['cache', 'redis', 'memcached', 'session', 'storage', 'temp', 'buffer', 'queue', 'message', 'event'],\n ['security', 'vulnerability', 'exploit', 'injection', 'xss', 'csrf', 'ssrf', 'rce', 'lfi', 'sqli'],\n ['payment', 'billing', 'invoice', 'subscription', 'checkout', 'cart', 'order', 'transaction', 'refund'],\n ['user', 'profile', 'account', 'password', 'email', 'phone', 'address', 'preference', 'notification'],\n ['api-key', 'secret-key', 'access-token', 'refresh-token', 'private-key', 'public-key', 'certificate'],\n ['debug', 'trace', 'log', 'error', 'warning', 'info', 'verbose', 'metric', 'monitor', 'health'],\n ['internal', 'private', 'restricted', 'confidential', 'sensitive', 'protected', 'secure', 'encrypted'],\n ['test', 'staging', 'development', 'production', 'sandbox', 'demo', 'preview', 'beta', 'alpha'],\n [], # 空的情况\n ]\n \n # 100字符长度的标题\n titles = [\n 'Enterprise API Gateway - RESTful Service Documentation with OpenAPI 3.0 Specification and Interactive',\n 'User Authentication Service - OAuth 2.0 and SAML 2.0 Single Sign-On Integration Platform Dashboard',\n 'Payment Processing Gateway - PCI-DSS Compliant Transaction Management System Administration Panel',\n 'Content Delivery Network - Global Edge Cache Management and Real-time Analytics Dashboard Interface',\n 'Database Administration Console - PostgreSQL Cluster Management with Automated Backup and Recovery',\n 'Kubernetes Container Orchestration - Pod Deployment and Service Mesh Configuration Control Panel',\n 'Message Queue Management - RabbitMQ Exchange and Binding Configuration with Dead Letter Handling',\n 'Search Engine Administration - Elasticsearch Index Management and Query Performance Optimization',\n 'Monitoring and Alerting System - Prometheus Metrics Collection with Grafana Dashboard Integration',\n 'Security Operations Center - Vulnerability Assessment and Incident Response Management Platform',\n 'API Rate Limiting Service - Request Throttling and Quota Management with Real-time Usage Analytics',\n 'File Storage Management - S3-Compatible Object Storage with Lifecycle Policy and Access Control',\n 'Email Notification Service - SMTP Gateway with Template Management and Delivery Status Tracking',\n 'Webhook Integration Platform - Event-Driven Architecture with Retry Logic and Failure Handling',\n 'GraphQL API Playground - Interactive Query Builder with Schema Introspection and Documentation',\n ]\n \n # 扩展的技术栈列表（用于生成10-20个技术）\n all_techs = [\n 'React 18.2.0', 'Vue.js 3.4', 'Angular 17.1', 'Next.js 14.0', 'Nuxt 3.9', 'Svelte 4.2',\n 'Node.js 20.10', 'Express 4.18', 'NestJS 10.3', 'Fastify 4.25', 'Koa 2.15',\n 'Python 3.12', 'Django 5.0', 'FastAPI 0.109', 'Flask 3.0', 'Tornado 6.4',\n 'Go 1.21', 'Gin 1.9', 'Echo 4.11', 'Fiber 2.52', 'Chi 5.0',\n 'Java 21', 'Spring Boot 3.2', 'Quarkus 3.6', 'Micronaut 4.2',\n 'PostgreSQL 16.1', 'MySQL 8.2', 'MongoDB 7.0', 'Redis 7.2', 'Elasticsearch 8.11',\n 'Kubernetes 1.28', 'Docker 24.0', 'Nginx 1.25', 'Apache 2.4', 'Traefik 3.0',\n 'GraphQL 16.8', 'gRPC 1.60', 'WebSocket', 'REST API', 'OpenAPI 3.0',\n 'JWT', 'OAuth 2.0', 'SAML 2.0', 'OIDC', 'Passport.js',\n 'Webpack 5.89', 'Vite 5.0', 'esbuild 0.19', 'Rollup 4.9', 'Parcel 2.11',\n 'TypeScript 5.3', 'Tailwind CSS 3.4', 'Bootstrap 5.3', 'Material UI 5.15',\n 'Jest 29.7', 'Vitest 1.1', 'Cypress 13.6', 'Playwright 1.40',\n 'Prometheus', 'Grafana 10.2', 'Jaeger', 'Zipkin', 'OpenTelemetry',\n 'RabbitMQ 3.12', 'Kafka 3.6', 'NATS 2.10', 'Redis Streams',\n 'AWS Lambda', 'Azure Functions', 'Google Cloud Functions', 'Cloudflare Workers',\n ]\n \n # 真实的 API 响应 body preview\n response_bodies = [\n '{\"status\":\"success\",\"data\":{\"user_id\":12345,\"username\":\"john_doe\",\"email\":\"john@example.com\",\"role\":\"user\",\"created_at\":\"2024-01-15T10:30:00Z\",\"last_login\":\"2024-12-22T08:45:00Z\"}}',\n '{\"success\":true,\"message\":\"Authentication successful\",\"token\":\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c\",\"expires_in\":3600}',\n '{\"error\":\"Unauthorized\",\"code\":\"AUTH_FAILED\",\"message\":\"Invalid credentials provided. Please check your username and password.\",\"timestamp\":\"2024-12-22T15:30:45.123Z\",\"request_id\":\"req_abc123xyz\"}',\n '{\"data\":{\"products\":[{\"id\":1,\"name\":\"Enterprise License\",\"price\":999.99,\"currency\":\"USD\"},{\"id\":2,\"name\":\"Professional License\",\"price\":499.99,\"currency\":\"USD\"},{\"id\":3,\"name\":\"Basic License\",\"price\":99.99,\"currency\":\"USD\"}],\"total\":3,\"page\":1,\"per_page\":10}}',\n '{\"health\":{\"status\":\"healthy\",\"version\":\"2.4.1\",\"uptime\":\"15d 6h 32m\",\"checks\":{\"database\":\"ok\",\"redis\":\"ok\",\"elasticsearch\":\"ok\",\"rabbitmq\":\"ok\"},\"memory\":{\"used\":\"2.1GB\",\"total\":\"8GB\"},\"cpu\":\"23%\"}}',\n '{\"errors\":[{\"field\":\"email\",\"message\":\"Email address is already registered\"},{\"field\":\"password\",\"message\":\"Password must contain at least one uppercase letter, one number, and one special character\"}],\"code\":\"VALIDATION_ERROR\"}',\n '{\"result\":{\"query\":\"SELECT * FROM users WHERE id = ?\",\"rows_affected\":1,\"execution_time_ms\":12,\"cached\":false},\"data\":[{\"id\":1,\"name\":\"Admin User\",\"status\":\"active\"}]}',\n 'GraphQL Playground
Loading GraphQL Playground...
',\n '{\"swagger\":\"2.0\",\"info\":{\"title\":\"Enterprise API\",\"description\":\"RESTful API for enterprise resource management\",\"version\":\"1.0.0\"},\"host\":\"api.example.com\",\"basePath\":\"/v1\",\"schemes\":[\"https\"],\"paths\":{\"/users\":{\"get\":{\"summary\":\"List users\"}}}}',\n '{\"openapi\":\"3.0.3\",\"info\":{\"title\":\"User Management API\",\"version\":\"2.0.0\",\"description\":\"API for managing user accounts and permissions\",\"contact\":{\"email\":\"api@example.com\"}},\"servers\":[{\"url\":\"https://api.example.com/v2\",\"description\":\"Production server\"}]}',\n '{\"metrics\":{\"http_requests_total\":{\"value\":1523456,\"labels\":{\"method\":\"GET\",\"status\":\"200\"}},\"http_request_duration_seconds\":{\"value\":0.023,\"labels\":{\"quantile\":\"0.99\"}},\"process_cpu_seconds_total\":{\"value\":12345.67}}}',\n '# HELP http_requests_total Total number of HTTP requests\\n# TYPE http_requests_total counter\\nhttp_requests_total{method=\"GET\",status=\"200\"} 1523456\\nhttp_requests_total{method=\"POST\",status=\"201\"} 45678\\n# HELP http_request_duration_seconds HTTP request latency\\nhttp_request_duration_seconds{quantile=\"0.5\"} 0.012',\n '{\"order\":{\"id\":\"ORD-2024-123456\",\"status\":\"processing\",\"items\":[{\"sku\":\"PROD-001\",\"name\":\"Widget Pro\",\"quantity\":2,\"price\":49.99}],\"subtotal\":99.98,\"tax\":8.00,\"shipping\":5.99,\"total\":113.97,\"created_at\":\"2024-12-22T14:30:00Z\"}}',\n '{\"session\":{\"id\":\"sess_abc123xyz789\",\"user_id\":12345,\"ip_address\":\"192.168.1.100\",\"user_agent\":\"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36\",\"created_at\":\"2024-12-22T10:00:00Z\",\"expires_at\":\"2024-12-22T22:00:00Z\",\"is_active\":true}}',\n '{\"rate_limit\":{\"limit\":1000,\"remaining\":847,\"reset\":1703260800,\"retry_after\":null},\"request_id\":\"req_xyz789abc123\",\"timestamp\":\"2024-12-22T16:45:30Z\"}',\n '{\"webhook\":{\"id\":\"wh_123456\",\"event\":\"payment.completed\",\"data\":{\"payment_id\":\"pay_abc123\",\"amount\":9999,\"currency\":\"usd\",\"status\":\"succeeded\",\"customer_id\":\"cus_xyz789\"},\"created\":1703260800}}',\n '{\"oauth\":{\"access_token\":\"ya29.a0AfH6SMBx...\",\"token_type\":\"Bearer\",\"expires_in\":3600,\"refresh_token\":\"1//0gYx...\",\"scope\":\"openid email profile\"}}',\n '{\"debug\":{\"request\":{\"method\":\"POST\",\"path\":\"/api/v1/users\",\"headers\":{\"Content-Type\":\"application/json\",\"Authorization\":\"Bearer ***\"},\"body\":{\"email\":\"test@example.com\"}},\"response\":{\"status\":201,\"time_ms\":45},\"trace_id\":\"trace_abc123\"}}',\n '{\"config\":{\"app\":{\"name\":\"Enterprise Portal\",\"version\":\"3.2.1\",\"environment\":\"production\"},\"features\":{\"dark_mode\":true,\"beta_features\":false,\"maintenance_mode\":false},\"limits\":{\"max_upload_size\":\"50MB\",\"rate_limit\":\"1000/hour\"}}}',\n '{\"analytics\":{\"page_views\":{\"today\":12345,\"this_week\":87654,\"this_month\":345678},\"unique_visitors\":{\"today\":4567,\"this_week\":23456,\"this_month\":98765},\"bounce_rate\":\"32.5%\",\"avg_session_duration\":\"4m 32s\"}}',\n '{\"search\":{\"query\":\"enterprise software\",\"results\":[{\"id\":1,\"title\":\"Enterprise Resource Planning\",\"score\":0.95},{\"id\":2,\"title\":\"Enterprise Security Suite\",\"score\":0.87}],\"total\":156,\"took_ms\":23,\"page\":1,\"per_page\":10}}',\n '{\"batch\":{\"id\":\"batch_123\",\"status\":\"completed\",\"total_items\":1000,\"processed\":1000,\"failed\":3,\"started_at\":\"2024-12-22T10:00:00Z\",\"completed_at\":\"2024-12-22T10:15:32Z\",\"errors\":[{\"item_id\":45,\"error\":\"Invalid format\"},{\"item_id\":123,\"error\":\"Duplicate entry\"}]}}',\n '{\"notification\":{\"id\":\"notif_abc123\",\"type\":\"email\",\"recipient\":\"user@example.com\",\"subject\":\"Your order has shipped\",\"status\":\"delivered\",\"sent_at\":\"2024-12-22T14:30:00Z\",\"opened_at\":\"2024-12-22T15:45:00Z\"}}',\n '{\"cache\":{\"status\":\"hit\",\"key\":\"user:12345:profile\",\"ttl\":3600,\"size_bytes\":2048,\"created_at\":\"2024-12-22T10:00:00Z\",\"last_accessed\":\"2024-12-22T16:30:00Z\",\"hit_count\":156}}',\n '{\"queue\":{\"name\":\"email_notifications\",\"messages\":{\"pending\":234,\"processing\":12,\"completed\":45678,\"failed\":23},\"consumers\":3,\"avg_processing_time_ms\":150,\"oldest_message_age\":\"2m 15s\"}}',\n ]\n \n # 获取域名目标\n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 80\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n for target_id, target_name in domain_targets:\n num = random.randint(50, 100)\n selected = random.sample(paths, min(num, len(paths)))\n \n for idx, path in enumerate(selected):\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'endpoint/{idx:04d}')\n \n # 生成 100 字符的标题\n title = random.choice(titles)\n \n # 生成 10-20 个技术\n num_techs = random.randint(10, 20)\n tech_list = random.sample(all_techs, min(num_techs, len(all_techs)))\n \n # 生成 10-20 个 tags (gf_patterns)\n tags = random.choice(gf_patterns)\n \n # 生成模拟的响应头数据\n response_headers = {\n 'server': random.choice(['nginx', 'gunicorn', 'uvicorn', 'Apache']),\n 'content_type': 'application/json',\n 'x_request_id': f'req_{random.randint(100000, 999999)}',\n 'x_ratelimit_limit': str(random.choice([100, 1000, 5000])),\n 'x_ratelimit_remaining': str(random.randint(0, 1000)),\n 'cache_control': random.choice(['no-cache', 'max-age=3600', 'private', None]),\n }\n # 移除 None 值\n response_headers = {k: v for k, v in response_headers.items() if v is not None}\n \n batch_data.append((\n url, target_id, target_name, title,\n random.choice(['nginx/1.24.0', 'gunicorn/21.2.0']),\n random.choice([200, 201, 301, 400, 401, 403, 404, 500]),\n random.randint(100, 50000), 'application/json',\n tech_list,\n '', random.choice(response_bodies),\n random.choice([True, False, None]), tags,\n generate_raw_response_headers(response_headers)\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO endpoint (\n url, target_id, host, title, webserver, status_code, content_length,\n content_type, tech, location, response_body, vhost, matched_gf_patterns,\n response_headers, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个端点\\n\")\n\n\n def create_directories(self, target_ids: list, website_ids: list):\n \"\"\"创建目录\"\"\"\n print(\"📁 创建目录...\")\n cur = self.conn.cursor()\n \n dir_paths = [\n '/admin/', '/administrator/', '/wp-admin/', '/wp-content/', '/backup/', '/backups/',\n '/old/', '/archive/', '/temp/', '/test/', '/dev/', '/staging/', '/config/',\n '/api/', '/api/v1/', '/api/v2/', '/uploads/', '/files/', '/documents/', '/docs/',\n '/images/', '/assets/', '/static/', '/css/', '/js/', '/logs/', '/debug/',\n '/private/', '/secure/', '/internal/', '/data/', '/database/', '/phpmyadmin/',\n '/cgi-bin/', '/includes/', '/lib/', '/vendor/', '/node_modules/', '/plugins/',\n '/themes/', '/templates/', '/src/', '/app/', '/portal/', '/dashboard/', '/panel/',\n '/user/', '/users/', '/account/', '/profile/', '/member/', '/customer/',\n # 扩展目录\n '/api/v3/', '/api/internal/', '/api/admin/', '/api/public/', '/api/private/',\n '/admin/config/', '/admin/logs/', '/admin/backup/', '/admin/users/', '/admin/settings/',\n '/system/', '/system/config/', '/system/logs/', '/system/backup/', '/system/cache/',\n '/storage/', '/storage/uploads/', '/storage/temp/', '/storage/cache/', '/storage/logs/',\n '/resources/', '/resources/images/', '/resources/documents/', '/resources/templates/',\n '/public/', '/public/assets/', '/public/uploads/', '/public/images/', '/public/files/',\n '/private/data/', '/private/config/', '/private/keys/', '/private/certificates/',\n '/backup/daily/', '/backup/weekly/', '/backup/monthly/', '/backup/database/',\n '/logs/access/', '/logs/error/', '/logs/audit/', '/logs/security/', '/logs/application/',\n '/cache/', '/cache/views/', '/cache/data/', '/cache/sessions/', '/cache/compiled/',\n '/tmp/', '/tmp/uploads/', '/tmp/sessions/', '/tmp/cache/', '/tmp/exports/',\n '/exports/', '/exports/reports/', '/exports/data/', '/exports/csv/', '/exports/pdf/',\n '/imports/', '/imports/data/', '/imports/csv/', '/imports/xml/', '/imports/json/',\n '/reports/', '/reports/daily/', '/reports/weekly/', '/reports/monthly/', '/reports/annual/',\n '/media/', '/media/images/', '/media/videos/', '/media/audio/', '/media/documents/',\n '/downloads/', '/downloads/software/', '/downloads/documents/', '/downloads/updates/',\n ]\n \n content_types = ['text/html; charset=utf-8', 'application/json', 'text/plain', 'text/css', \n 'application/xml', 'application/javascript', 'text/xml']\n \n # 直接获取域名目标来生成目录数据\n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 100\")\n domain_targets = cur.fetchall()\n \n if not domain_targets:\n print(\" ⚠ 没有域名目标，跳过\\n\")\n return\n \n count = 0\n batch_data = []\n for target_id, target_name in domain_targets:\n num = random.randint(60, 100)\n selected = random.sample(dir_paths, min(num, len(dir_paths)))\n \n for idx, path in enumerate(selected):\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'directory/{idx:04d}')\n batch_data.append((\n url, target_id,\n random.choice([200, 301, 302, 403, 404, 500]),\n random.randint(0, 100000), random.randint(0, 5000), random.randint(0, 500),\n random.choice(content_types), random.randint(10000000, 5000000000)\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO directory (\n url, target_id, status, content_length, words, lines,\n content_type, duration, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个目录\\n\")\n\n def create_host_port_mappings(self, target_ids: list):\n \"\"\"创建主机端口映射\"\"\"\n print(\"🔌 创建主机端口映射...\")\n cur = self.conn.cursor()\n \n # 扩展端口列表，包含更多常见端口\n ports = [\n # 常见服务端口\n 20, 21, 22, 23, 25, 26, 53, 69, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,\n 110, 111, 113, 119, 123, 135, 137, 138, 139, 143, 161, 162, 179, 194, 199,\n 389, 443, 444, 445, 465, 500, 512, 513, 514, 515, 520, 523, 524, 548, 554,\n # 数据库端口\n 1433, 1434, 1521, 1522, 1525, 1526, 1527, 1528, 1529, 1530,\n 3306, 3307, 3308, 5432, 5433, 5434, 6379, 6380, 6381,\n 9200, 9201, 9300, 9301, 27017, 27018, 27019, 28017,\n # Web 服务端口\n 8000, 8001, 8002, 8003, 8004, 8005, 8006, 8007, 8008, 8009, 8010,\n 8080, 8081, 8082, 8083, 8084, 8085, 8086, 8087, 8088, 8089, 8090,\n 8443, 8444, 8445, 8888, 8889, 9000, 9001, 9002, 9003, 9090, 9091, 9443,\n # 消息队列和缓存\n 5672, 5673, 15672, 25672, 4369, 11211, 11212, 11213,\n # 容器和编排\n 2375, 2376, 2377, 2379, 2380, 6443, 6444, 10250, 10251, 10252, 10255,\n # 监控和日志\n 3000, 3001, 3002, 9090, 9091, 9093, 9094, 9100, 9104, 9115, 9116,\n 5601, 5602, 9600, 9601, 24224, 24225,\n # 其他常见端口\n 993, 995, 1080, 1081, 1723, 2049, 2181, 2182, 2183, 3128, 3129, 3389, 3390,\n 4443, 4444, 5000, 5001, 5002, 5003, 5900, 5901, 5902, 5984, 5985,\n 6000, 6001, 6002, 7001, 7002, 7003, 7070, 7071, 7443, 7474, 7687,\n 8161, 8162, 8180, 8181, 8200, 8201, 8280, 8281, 8300, 8301, 8400, 8401,\n 8500, 8501, 8600, 8601, 8686, 8687, 8787, 8788, 8880, 8881, 8983, 8984,\n 9418, 9419, 9999, 10000, 10001, 10002, 11111, 12345, 15000, 15001,\n 16379, 16380, 18080, 18081, 19999, 20000, 22222, 27018, 27019, 28015, 28016,\n 29015, 29016, 30000, 30001, 31337, 32768, 33060, 33061, 44818, 47001, 49152,\n 50000, 50001, 50070, 50075, 50090, 54321, 55555, 60000, 60001, 61616, 61617,\n ]\n # 去重\n ports = list(set(ports))\n \n # 获取域名目标\n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 80\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n for target_id, target_name in domain_targets:\n num_ips = random.randint(15, 30)\n \n for _ in range(num_ips):\n ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}'\n # 增加每个 IP 的端口数量，30-60 个端口\n num_ports = random.randint(30, 60)\n selected_ports = random.sample(ports, min(num_ports, len(ports)))\n \n for port in selected_ports:\n batch_data.append((target_id, target_name, ip, port))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO host_port_mapping (target_id, host, ip, port, created_at)\n VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个主机端口映射\\n\")\n\n def create_vulnerabilities(self, target_ids: list):\n \"\"\"创建漏洞（基于 website URL 前缀）\"\"\"\n print(\"🐛 创建漏洞...\")\n cur = self.conn.cursor()\n \n vuln_types = [\n 'sql-injection-authentication-bypass-vulnerability-',\n 'cross-site-scripting-xss-stored-persistent-attack-',\n 'cross-site-request-forgery-csrf-token-validation--',\n 'server-side-request-forgery-ssrf-internal-access--',\n 'xml-external-entity-xxe-injection-vulnerability---',\n 'remote-code-execution-rce-command-injection-flaw--',\n 'local-file-inclusion-lfi-path-traversal-exploit---',\n 'directory-traversal-arbitrary-file-read-access----',\n 'authentication-bypass-session-management-flaw-----',\n 'insecure-direct-object-reference-idor-access-ctrl-',\n 'sensitive-data-exposure-information-disclosure----',\n 'security-misconfiguration-default-credentials-----',\n 'broken-access-control-privilege-escalation-vuln---',\n 'cors-misconfiguration-cross-origin-data-leakage---',\n 'subdomain-takeover-dns-misconfiguration-exploit---',\n 'exposed-admin-panel-unauthorized-access-control---',\n 'default-credentials-weak-authentication-bypass----',\n 'information-disclosure-sensitive-data-exposure----',\n 'command-injection-os-command-execution-exploit----',\n 'ldap-injection-directory-service-manipulation-----',\n ]\n \n sources = [\n 'nuclei-vulnerability-scanner--',\n 'dalfox-xss-parameter-analysis-',\n 'sqlmap-sql-injection-testing--',\n 'crlfuzz-crlf-injection-finder-',\n 'httpx-web-probe-fingerprint---',\n 'manual-penetration-testing----',\n 'burp-suite-professional-scan--',\n 'owasp-zap-security-scanner----',\n ]\n severities = ['unknown', 'info', 'low', 'medium', 'high', 'critical']\n \n # 漏洞路径后缀（会追加到 website URL 后面）\n vuln_paths = [\n '/api/users?id=1',\n '/api/admin/config',\n '/api/v1/auth/login',\n '/api/v2/data/export',\n '/admin/settings',\n '/debug/console',\n '/backup/db.sql',\n '/.env',\n '/.git/config',\n '/wp-admin/',\n '/phpmyadmin/',\n '/api/graphql',\n '/swagger.json',\n '/actuator/health',\n '/metrics',\n ]\n \n # 获取所有 website 的 URL 和 target_id\n cur.execute(\"SELECT id, url, target_id FROM website LIMIT 500\")\n websites = cur.fetchall()\n \n if not websites:\n print(\" ⚠ 没有 website 数据，跳过漏洞生成\\n\")\n return\n \n count = 0\n batch_data = []\n for website_id, website_url, target_id in websites:\n # 每个 website 生成 1-5 个漏洞\n num_vulns = random.randint(1, 5)\n \n for idx in range(num_vulns):\n severity = random.choice(severities)\n cvss_ranges = {\n 'critical': (9.0, 10.0), 'high': (7.0, 8.9), 'medium': (4.0, 6.9),\n 'low': (0.1, 3.9), 'info': (0.0, 0.0), 'unknown': (0.0, 10.0)\n }\n cvss_range = cvss_ranges.get(severity, (0.0, 10.0))\n cvss_score = round(random.uniform(*cvss_range), 1)\n \n # 漏洞 URL = website URL + 漏洞路径\n # 先移除 website URL 中的查询参数\n base_url = website_url.split('?')[0]\n vuln_url = base_url + random.choice(vuln_paths)\n \n description = generate_fixed_length_text(length=300, text_type='description')\n \n raw_output = json.dumps({\n 'template': f'CVE-2024-{random.randint(10000, 99999)}',\n 'matcher_name': 'default',\n 'severity': severity,\n 'matched_at': vuln_url,\n })\n \n batch_data.append((\n target_id, vuln_url, random.choice(vuln_types), severity,\n random.choice(sources), cvss_score, description, raw_output\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO vulnerability (\n target_id, url, vuln_type, severity, source, cvss_score,\n description, raw_output, created_at\n ) VALUES %s\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个漏洞\\n\")\n\n def create_subdomain_snapshots(self, scan_ids: list):\n \"\"\"创建子域名快照\"\"\"\n print(\"📸 创建子域名快照...\")\n cur = self.conn.cursor()\n \n if not scan_ids:\n print(\" ⚠ 缺少扫描任务，跳过\\n\")\n return\n \n prefixes = [\n 'api', 'admin', 'portal', 'dashboard', 'app', 'mobile', 'staging', 'dev',\n 'test', 'qa', 'uat', 'beta', 'mail', 'vpn', 'cdn', 'static',\n 'auth', 'login', 'sso', 'oauth', 'identity', 'accounts', 'secure',\n 'monitoring', 'metrics', 'grafana', 'prometheus', 'kibana', 'logs',\n 'jenkins', 'ci', 'cd', 'gitlab', 'jira', 'confluence', 'kubernetes',\n 'www', 'www2', 'ns1', 'ns2', 'mx', 'mx1', 'autodiscover', 'webmail',\n 'api-v1', 'api-v2', 'api-v3', 'internal', 'external', 'public', 'private',\n 'gateway', 'proxy', 'cache', 'redis', 'mongo', 'mysql', 'postgres',\n 'elastic', 'search', 'analytics', 'reporting', 'billing', 'payment',\n 'checkout', 'cart', 'shop', 'store', 'catalog', 'inventory', 'orders',\n 'users', 'customers', 'partners', 'vendors', 'suppliers', 'merchants',\n 'docs', 'help', 'support', 'faq', 'kb', 'wiki', 'blog', 'news',\n 'status', 'health', 'ping', 'heartbeat', 'uptime', 'monitor',\n 'backup', 'archive', 'storage', 'files', 'uploads', 'downloads',\n 'assets', 'images', 'media', 'video', 'audio', 'fonts', 'icons',\n 'api-gateway', 'load-balancer', 'reverse-proxy', 'edge', 'origin',\n 'primary', 'secondary', 'failover', 'replica', 'master', 'slave',\n 'prod', 'stage', 'preprod', 'sandbox', 'demo', 'preview', 'canary',\n ]\n \n count = 0\n batch_data = []\n for scan_id in scan_ids: # 为所有扫描创建快照\n # 获取扫描对应的目标域名\n cur.execute(\"\"\"\n SELECT t.name FROM scan s \n JOIN target t ON s.target_id = t.id \n WHERE s.id = %s AND t.type = 'domain'\n \"\"\", (scan_id,))\n row = cur.fetchone()\n if not row:\n continue\n target_name = row[0]\n \n num = random.randint(60, 100)\n selected = random.sample(prefixes, min(num, len(prefixes)))\n \n for prefix in selected:\n subdomain_name = f'{prefix}.{target_name}'\n batch_data.append((scan_id, subdomain_name))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO subdomain_snapshot (scan_id, name, created_at)\n VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个子域名快照\\n\")\n\n def create_website_snapshots(self, scan_ids: list):\n \"\"\"创建网站快照\"\"\"\n print(\"📸 创建网站快照...\")\n cur = self.conn.cursor()\n \n if not scan_ids:\n print(\" ⚠ 缺少扫描任务，跳过\\n\")\n return\n \n titles = [\n 'Enterprise Portal - Login | Secure Access Required - Multi-Factor Authentication',\n 'Admin Dashboard - System Management | Configuration Settings Overview',\n 'API Documentation - Swagger UI | RESTful Endpoints Reference Guide',\n 'Customer Portal - Account Management | Billing Subscription Services',\n 'Developer Console - Application Management | API Keys Webhooks Configuration',\n 'Support Center - Help Desk | Knowledge Base FAQ Ticket System',\n 'Analytics Dashboard - Business Intelligence | Real-time Metrics Reporting',\n 'Security Center - Threat Detection | Vulnerability Assessment Reports',\n 'User Management - Identity Access Control | Role Permission Administration',\n 'Content Management System - Publishing Platform | Media Library Editor',\n ]\n webservers = ['nginx/1.24.0', 'nginx/1.25.3', 'Apache/2.4.57', 'Apache/2.4.58', \n 'cloudflare', 'gunicorn/21.2.0', 'Microsoft-IIS/10.0']\n tech_stacks = [['React', 'Node.js', 'Express'], ['Vue.js', 'Django', 'PostgreSQL'], \n ['Angular', 'Spring Boot', 'MySQL'], ['Next.js', 'FastAPI', 'Redis'],\n ['Svelte', 'Go', 'MongoDB'], ['React', 'NestJS', 'TypeORM']]\n \n count = 0\n batch_data = []\n for scan_id in scan_ids: # 为所有扫描创建快照\n cur.execute(\"\"\"\n SELECT t.name FROM scan s \n JOIN target t ON s.target_id = t.id \n WHERE s.id = %s AND t.type = 'domain'\n \"\"\", (scan_id,))\n row = cur.fetchone()\n if not row:\n continue\n target_name = row[0]\n \n for i in range(random.randint(30, 60)):\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'website-snap/{i:04d}')\n \n # 生成模拟的响应头数据\n response_headers = {\n 'server': random.choice(['nginx', 'Apache', 'cloudflare']),\n 'content_type': 'text/html; charset=utf-8',\n 'x_frame_options': random.choice(['DENY', 'SAMEORIGIN', None]),\n }\n # 移除 None 值\n response_headers = {k: v for k, v in response_headers.items() if v is not None}\n \n batch_data.append((\n scan_id, url, target_name, random.choice(titles),\n random.choice(webservers), random.choice(tech_stacks),\n random.choice([200, 301, 403]),\n random.randint(1000, 50000), 'text/html; charset=utf-8',\n '', # location 字段\n 'TestContent',\n generate_raw_response_headers(response_headers)\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO website_snapshot (\n scan_id, url, host, title, webserver, tech, status_code,\n content_length, content_type, location, response_body,\n response_headers, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个网站快照\\n\")\n\n def create_endpoint_snapshots(self, scan_ids: list):\n \"\"\"创建端点快照\"\"\"\n print(\"📸 创建端点快照...\")\n cur = self.conn.cursor()\n \n if not scan_ids:\n print(\" ⚠ 缺少扫描任务，跳过\\n\")\n return\n \n paths = [\n '/api/v1/users', '/api/v1/auth/login', '/api/v2/products',\n '/admin/dashboard', '/graphql', '/health', '/metrics',\n '/api/v1/organizations/departments/teams/members',\n '/api/v2/inventory/warehouse/locations/products',\n '/api/v3/reporting/analytics/metrics/summary',\n '/admin/system/configuration/security/settings',\n '/portal/customer/account/billing/invoices',\n '/internal/monitoring/kubernetes/pods/status',\n '/webhook/integration/payment/callback/handler',\n '/oauth/authorize/callback/redirect',\n '/swagger/v1/api-docs/openapi.json',\n ]\n \n # 100字符长度的标题\n titles = [\n 'Enterprise API Gateway - RESTful Service Documentation with OpenAPI 3.0 Specification and Interactive',\n 'User Authentication Service - OAuth 2.0 and SAML 2.0 Single Sign-On Integration Platform Dashboard',\n 'Payment Processing Gateway - PCI-DSS Compliant Transaction Management System Administration Panel',\n 'Content Delivery Network - Global Edge Cache Management and Real-time Analytics Dashboard Interface',\n 'Database Administration Console - PostgreSQL Cluster Management with Automated Backup and Recovery',\n ]\n \n # 扩展的技术栈列表\n all_techs = [\n 'React 18.2.0', 'Vue.js 3.4', 'Angular 17.1', 'Next.js 14.0', 'Node.js 20.10',\n 'Express 4.18', 'Python 3.12', 'Django 5.0', 'FastAPI 0.109', 'Go 1.21',\n 'PostgreSQL 16.1', 'MySQL 8.2', 'MongoDB 7.0', 'Redis 7.2', 'Elasticsearch 8.11',\n 'Kubernetes 1.28', 'Docker 24.0', 'Nginx 1.25', 'GraphQL 16.8', 'JWT',\n ]\n \n # 扩展的 tags\n all_tags = [\n 'debug', 'config', 'api', 'json', 'upload', 'file', 'admin', 'auth',\n 'secrets', 'credentials', 'backup', 'archive', 'trace', 'log', 'error',\n 'security', 'vulnerability', 'payment', 'user', 'internal', 'private',\n ]\n \n count = 0\n batch_data = []\n for scan_id in scan_ids: # 为所有扫描创建快照\n cur.execute(\"\"\"\n SELECT t.name FROM scan s \n JOIN target t ON s.target_id = t.id \n WHERE s.id = %s AND t.type = 'domain'\n \"\"\", (scan_id,))\n row = cur.fetchone()\n if not row:\n continue\n target_name = row[0]\n \n for idx, path in enumerate(random.sample(paths, min(random.randint(40, 80), len(paths)))):\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'endpoint-snap/{idx:04d}')\n \n # 生成 100 字符的标题\n title = random.choice(titles)\n \n # 生成 10-20 个技术\n num_techs = random.randint(10, 20)\n tech_list = random.sample(all_techs, min(num_techs, len(all_techs)))\n \n # 生成 10-20 个 tags\n num_tags = random.randint(10, 20)\n tags = random.sample(all_tags, min(num_tags, len(all_tags)))\n \n # 生成模拟的响应头数据\n response_headers = {\n 'server': 'nginx/1.24.0',\n 'content_type': 'application/json',\n 'x_request_id': f'req_{random.randint(100000, 999999)}',\n }\n \n batch_data.append((\n scan_id, url, target_name, title,\n random.choice([200, 201, 401, 403, 404]),\n random.randint(100, 5000),\n '', # location\n 'nginx/1.24.0',\n 'application/json', tech_list,\n '{\"status\":\"ok\",\"data\":{}}',\n tags,\n generate_raw_response_headers(response_headers)\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO endpoint_snapshot (\n scan_id, url, host, title, status_code, content_length,\n location, webserver, content_type, tech, response_body,\n matched_gf_patterns, response_headers, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个端点快照\\n\")\n\n def create_directory_snapshots(self, scan_ids: list):\n \"\"\"创建目录快照\"\"\"\n print(\"📸 创建目录快照...\")\n cur = self.conn.cursor()\n \n if not scan_ids:\n print(\" ⚠ 缺少扫描任务，跳过\\n\")\n return\n \n dirs = [\n '/admin/', '/backup/', '/config/', '/uploads/', '/static/',\n '/assets/', '/images/', '/js/', '/css/', '/api/',\n '/admin/config/', '/admin/logs/', '/admin/backup/', '/admin/users/',\n '/system/', '/system/config/', '/system/logs/', '/system/cache/',\n '/storage/', '/storage/uploads/', '/storage/temp/', '/storage/cache/',\n '/resources/', '/resources/images/', '/resources/documents/',\n '/public/', '/public/assets/', '/public/uploads/', '/public/images/',\n '/private/data/', '/private/config/', '/private/keys/',\n '/backup/daily/', '/backup/weekly/', '/backup/database/',\n '/logs/access/', '/logs/error/', '/logs/audit/', '/logs/security/',\n '/cache/', '/cache/views/', '/cache/data/', '/cache/sessions/',\n '/tmp/', '/tmp/uploads/', '/tmp/sessions/', '/tmp/exports/',\n '/exports/', '/exports/reports/', '/exports/data/', '/exports/csv/',\n ]\n \n count = 0\n batch_data = []\n for scan_id in scan_ids: # 为所有扫描创建快照\n cur.execute(\"\"\"\n SELECT t.name FROM scan s \n JOIN target t ON s.target_id = t.id \n WHERE s.id = %s AND t.type = 'domain'\n \"\"\", (scan_id,))\n row = cur.fetchone()\n if not row:\n continue\n target_name = row[0]\n \n for idx, d in enumerate(random.sample(dirs, min(random.randint(50, 80), len(dirs)))):\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'dir-snap/{idx:04d}')\n batch_data.append((\n scan_id, url, random.choice([200, 301, 403]),\n random.randint(500, 10000), random.randint(50, 500),\n random.randint(10, 100), 'text/html',\n random.randint(10000000, 500000000) # 纳秒\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO directory_snapshot (\n scan_id, url, status, content_length, words, lines,\n content_type, duration, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个目录快照\\n\")\n\n def create_host_port_mapping_snapshots(self, scan_ids: list):\n \"\"\"创建主机端口映射快照\"\"\"\n print(\"📸 创建主机端口映射快照...\")\n cur = self.conn.cursor()\n \n if not scan_ids:\n print(\" ⚠ 缺少扫描任务，跳过\\n\")\n return\n \n common_ports = [22, 80, 443, 3306, 5432, 6379, 8080, 8443, 9000,\n 21, 23, 25, 53, 110, 143, 389, 445, 993, 995,\n 1433, 1521, 2049, 2181, 3000, 3389, 5000, 5672,\n 6443, 7001, 8000, 8081, 8888, 9090, 9200, 27017]\n \n count = 0\n batch_data = []\n for scan_id in scan_ids: # 为所有扫描创建快照\n cur.execute(\"\"\"\n SELECT t.name FROM scan s \n JOIN target t ON s.target_id = t.id \n WHERE s.id = %s AND t.type = 'domain'\n \"\"\", (scan_id,))\n row = cur.fetchone()\n if not row:\n continue\n target_name = row[0]\n \n # 生成多个随机 IP\n for _ in range(random.randint(10, 20)):\n ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}'\n \n for port in random.sample(common_ports, min(random.randint(20, 35), len(common_ports))):\n batch_data.append((scan_id, target_name, ip, port))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO host_port_mapping_snapshot (\n scan_id, host, ip, port, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个主机端口映射快照\\n\")\n\n def create_vulnerability_snapshots(self, scan_ids: list):\n \"\"\"创建漏洞快照\"\"\"\n print(\"📸 创建漏洞快照...\")\n cur = self.conn.cursor()\n \n if not scan_ids:\n print(\" ⚠ 缺少扫描任务，跳过\\n\")\n return\n \n vuln_types = [\n 'sql-injection-authentication-bypass-vulnerability-',\n 'cross-site-scripting-xss-stored-persistent-attack-',\n 'server-side-request-forgery-ssrf-internal-access--',\n 'remote-code-execution-rce-command-injection-flaw--',\n 'insecure-direct-object-reference-idor-access-ctrl-',\n 'authentication-bypass-session-management-flaw-----',\n 'cors-misconfiguration-cross-origin-data-leakage---',\n 'command-injection-os-command-execution-exploit----',\n 'deserialization-vulnerability-object-injection----',\n 'jwt-vulnerability-token-forgery-authentication----',\n 'open-redirect-url-redirection-phishing-attack-----',\n 'path-traversal-arbitrary-file-read-access-vuln----',\n ]\n severities = ['critical', 'high', 'medium', 'low', 'info']\n sources = [\n 'nuclei-vulnerability-scanner--',\n 'dalfox-xss-parameter-analysis-',\n 'sqlmap-sql-injection-testing--',\n 'burp-suite-professional-scan--',\n 'owasp-zap-security-scanner----',\n 'nmap-network-service-scanner--',\n 'nikto-web-server-scanner------',\n ]\n \n count = 0\n batch_data = []\n for scan_id in scan_ids: # 为所有扫描创建快照\n cur.execute(\"\"\"\n SELECT t.name FROM scan s \n JOIN target t ON s.target_id = t.id \n WHERE s.id = %s AND t.type = 'domain'\n \"\"\", (scan_id,))\n row = cur.fetchone()\n if not row:\n continue\n target_name = row[0]\n \n for idx in range(random.randint(30, 60)):\n severity = random.choice(severities)\n cvss_ranges = {\n 'critical': (9.0, 10.0), 'high': (7.0, 8.9), 'medium': (4.0, 6.9),\n 'low': (0.1, 3.9), 'info': (0.0, 0.0)\n }\n cvss_range = cvss_ranges.get(severity, (0.0, 10.0))\n cvss_score = round(random.uniform(*cvss_range), 1)\n \n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'vuln-snap/{idx:04d}')\n \n # 生成固定 300 长度的描述\n description = generate_fixed_length_text(length=300, text_type='description')\n \n batch_data.append((\n scan_id, url, random.choice(vuln_types), severity,\n random.choice(sources), cvss_score,\n description,\n json.dumps({'template': f'CVE-2024-{random.randint(10000, 99999)}'})\n ))\n count += 1\n \n # 批量插入\n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO vulnerability_snapshot (\n scan_id, url, vuln_type, severity, source, cvss_score,\n description, raw_output, created_at\n ) VALUES %s\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个漏洞快照\\n\")\n\n def create_ehole_fingerprints(self):\n \"\"\"创建 EHole 指纹数据\"\"\"\n print(\"🔍 创建 EHole 指纹...\")\n cur = self.conn.cursor()\n \n # CMS/产品名称模板（长名称）\n cms_templates = [\n 'WordPress-Enterprise-Content-Management-System-Professional-Edition',\n 'Drupal-Open-Source-CMS-Platform-Community-Extended-Version',\n 'Joomla-Web-Content-Management-Framework-Business-Suite',\n 'Magento-E-Commerce-Platform-Enterprise-Cloud-Edition',\n 'Shopify-Online-Store-Builder-Professional-Business-Plan',\n 'PrestaShop-E-Commerce-Solution-Multi-Store-Edition',\n 'OpenCart-Shopping-Cart-System-Enterprise-Features',\n 'WooCommerce-WordPress-E-Commerce-Plugin-Extended',\n 'Laravel-PHP-Framework-Application-Boilerplate',\n 'Django-Python-Web-Framework-Admin-Dashboard',\n 'Spring-Boot-Java-Microservices-Framework-Starter',\n 'Express-Node-JS-Web-Application-Framework-API',\n 'Ruby-on-Rails-MVC-Framework-Application-Template',\n 'ASP-NET-Core-Microsoft-Web-Framework-Enterprise',\n 'Flask-Python-Micro-Framework-REST-API-Template',\n 'FastAPI-Python-Modern-Web-Framework-OpenAPI',\n 'Next-JS-React-Framework-Server-Side-Rendering',\n 'Nuxt-JS-Vue-Framework-Universal-Application',\n 'Angular-Universal-Server-Side-Rendering-Platform',\n 'Svelte-Kit-Web-Application-Framework-Compiler',\n 'Apache-Tomcat-Java-Servlet-Container-Server',\n 'Nginx-Web-Server-Reverse-Proxy-Load-Balancer',\n 'Microsoft-IIS-Internet-Information-Services-Server',\n 'Apache-HTTP-Server-Web-Server-Platform',\n 'Caddy-Web-Server-Automatic-HTTPS-Configuration',\n 'LiteSpeed-Web-Server-High-Performance-HTTP',\n 'Oracle-WebLogic-Server-Java-EE-Application',\n 'IBM-WebSphere-Application-Server-Enterprise',\n 'JBoss-EAP-Enterprise-Application-Platform-RedHat',\n 'GlassFish-Server-Open-Source-Java-EE-Reference',\n ]\n \n methods = ['keyword', 'faviconhash', 'regula']\n locations = ['body', 'header', 'title', 'server', 'cookie', 'cert']\n types = ['CMS', 'Framework', 'Server', 'Database', 'Cache', 'CDN', 'WAF', 'Load-Balancer', 'Container', 'Cloud']\n \n # 关键词模板（多个长关键词）\n keyword_templates = [\n ['wp-content/themes/', 'wp-includes/js/', 'wp-admin/css/', 'wordpress-hash-', 'wp-json/wp/v2/'],\n ['sites/all/modules/', 'misc/drupal.js', 'drupal-settings-json', 'X-Drupal-Cache', 'X-Generator: Drupal'],\n ['media/jui/js/', 'administrator/index.php', 'Joomla!', 'com_content', 'mod_custom'],\n ['skin/frontend/', 'Mage.Cookies', 'MAGENTO_CACHE', 'varien/js.js', 'mage/cookies.js'],\n ['cdn.shopify.com', 'Shopify.theme', 'shopify-section', 'shopify-payment-button', 'myshopify.com'],\n ['prestashop', 'PrestaShop', 'ps_versions_compliancy', 'prestashop-page', 'id_product'],\n ['catalog/view/theme/', 'index.php?route=', 'OpenCart', 'text_home', 'common/home'],\n ['woocommerce', 'WooCommerce', 'wc-ajax', 'woocommerce-page', 'add_to_cart_button'],\n ['laravel_session', 'XSRF-TOKEN', 'Laravel', 'laravel-livewire', 'laravel_token'],\n ['csrfmiddlewaretoken', 'django.contrib', 'Django', '__admin_media_prefix__', 'django-debug-toolbar'],\n ['X-Application-Context', 'spring-boot', 'Spring', 'actuator/health', 'spring-security'],\n ['X-Powered-By: Express', 'express-session', 'connect.sid', 'express.static', 'express-validator'],\n ['X-Powered-By: Phusion', 'Rails', 'csrf-token', 'action_controller', 'rails-ujs'],\n ['X-AspNet-Version', 'ASP.NET', '__VIEWSTATE', '__EVENTVALIDATION', 'aspnetcore-'],\n ['Werkzeug', 'Flask', 'flask-login', 'flask-wtf', 'flask-session'],\n ]\n \n count = 0\n batch_data = []\n \n for i in range(200): # 生成 200 条 EHole 指纹\n cms = f'{random.choice(cms_templates)}-{random.randint(1000, 9999)}'\n method = random.choice(methods)\n location = random.choice(locations)\n keywords = random.choice(keyword_templates) + [f'custom-keyword-{random.randint(10000, 99999)}' for _ in range(random.randint(3, 8))]\n is_important = random.choice([True, False])\n fp_type = random.choice(types)\n \n batch_data.append((\n cms, method, location, json.dumps(keywords), is_important, fp_type\n ))\n count += 1\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO ehole_fingerprint (cms, method, location, keyword, is_important, type, created_at)\n VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个 EHole 指纹\\n\")\n\n def create_goby_fingerprints(self):\n \"\"\"创建 Goby 指纹数据\"\"\"\n print(\"🔍 创建 Goby 指纹...\")\n cur = self.conn.cursor()\n \n # 产品名称模板（长名称）\n name_templates = [\n 'Apache-Tomcat-Java-Servlet-Container-Application-Server-Enterprise',\n 'Nginx-High-Performance-Web-Server-Reverse-Proxy-Load-Balancer',\n 'Microsoft-Exchange-Server-Email-Collaboration-Platform-Enterprise',\n 'VMware-vCenter-Server-Virtual-Infrastructure-Management-Platform',\n 'Cisco-Adaptive-Security-Appliance-Firewall-VPN-Concentrator',\n 'Fortinet-FortiGate-Next-Generation-Firewall-Security-Platform',\n 'Palo-Alto-Networks-Firewall-Threat-Prevention-Platform',\n 'F5-BIG-IP-Application-Delivery-Controller-Load-Balancer',\n 'Citrix-NetScaler-Application-Delivery-Controller-Gateway',\n 'Juniper-Networks-SRX-Series-Services-Gateway-Firewall',\n 'Oracle-WebLogic-Server-Java-Enterprise-Application-Platform',\n 'IBM-WebSphere-Application-Server-Java-EE-Enterprise-Edition',\n 'SAP-NetWeaver-Application-Server-Business-Suite-Platform',\n 'Adobe-Experience-Manager-Content-Management-System-Enterprise',\n 'Atlassian-Confluence-Team-Collaboration-Wiki-Platform-Server',\n 'Atlassian-Jira-Project-Issue-Tracking-Software-Server-Edition',\n 'GitLab-DevOps-Platform-Source-Code-Management-CI-CD-Pipeline',\n 'Jenkins-Automation-Server-Continuous-Integration-Deployment',\n 'SonarQube-Code-Quality-Security-Analysis-Platform-Enterprise',\n 'Elasticsearch-Distributed-Search-Analytics-Engine-Cluster',\n 'Kibana-Data-Visualization-Dashboard-Elasticsearch-Frontend',\n 'Grafana-Observability-Platform-Metrics-Logs-Traces-Dashboard',\n 'Prometheus-Monitoring-System-Time-Series-Database-Alerting',\n 'Zabbix-Enterprise-Monitoring-Solution-Network-Server-Cloud',\n 'Nagios-Infrastructure-Monitoring-Alerting-System-Enterprise',\n 'Redis-In-Memory-Data-Structure-Store-Cache-Message-Broker',\n 'MongoDB-Document-Database-NoSQL-Distributed-Cluster-Platform',\n 'PostgreSQL-Advanced-Open-Source-Relational-Database-System',\n 'MySQL-Enterprise-Relational-Database-Management-System-Server',\n 'Microsoft-SQL-Server-Relational-Database-Management-Platform',\n ]\n \n # 逻辑表达式模板\n logic_templates = [\n '(a&&b)||c', 'a||(b&&c)', '(a||b)&&(c||d)', 'a&&b&&c', 'a||b||c',\n '((a&&b)||c)&&d', '(a||(b&&c))&&(d||e)', 'a&&(b||c)&&d',\n '(a&&b&&c)||(d&&e)', '((a||b)&&c)||(d&&e&&f)',\n ]\n \n # 规则模板\n rule_labels = ['body', 'header', 'title', 'server', 'cert', 'banner', 'protocol', 'port']\n \n count = 0\n batch_data = []\n \n for i in range(200): # 生成 200 条 Goby 指纹\n name = f'{random.choice(name_templates)}-{random.randint(1000, 9999)}'\n logic = random.choice(logic_templates)\n \n # 生成 5-15 条规则\n num_rules = random.randint(5, 15)\n rules = []\n for j in range(num_rules):\n rule = {\n 'label': random.choice(rule_labels),\n 'feature': f'feature-pattern-{random.randint(10000, 99999)}-{random.choice([\"regex\", \"keyword\", \"hash\"])}',\n 'is_equal': random.choice([True, False])\n }\n rules.append(rule)\n \n batch_data.append((name, logic, json.dumps(rules)))\n count += 1\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO goby_fingerprint (name, logic, rule, created_at)\n VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个 Goby 指纹\\n\")\n\n def create_wappalyzer_fingerprints(self):\n \"\"\"创建 Wappalyzer 指纹数据\"\"\"\n print(\"🔍 创建 Wappalyzer 指纹...\")\n cur = self.conn.cursor()\n \n # 应用名称模板（长名称）\n name_templates = [\n 'WordPress-Content-Management-System-Open-Source-Blogging-Platform',\n 'React-JavaScript-Library-User-Interface-Components-Facebook',\n 'Vue-JS-Progressive-JavaScript-Framework-Reactive-Components',\n 'Angular-Platform-Web-Application-Framework-Google-TypeScript',\n 'jQuery-JavaScript-Library-DOM-Manipulation-Event-Handling',\n 'Bootstrap-CSS-Framework-Responsive-Design-Mobile-First',\n 'Tailwind-CSS-Utility-First-Framework-Rapid-UI-Development',\n 'Node-JS-JavaScript-Runtime-Server-Side-V8-Engine-Platform',\n 'Express-JS-Web-Application-Framework-Node-JS-Middleware',\n 'Django-Python-Web-Framework-Batteries-Included-MTV-Pattern',\n 'Flask-Python-Micro-Framework-Lightweight-WSGI-Application',\n 'Ruby-on-Rails-MVC-Framework-Convention-Over-Configuration',\n 'Laravel-PHP-Framework-Elegant-Syntax-Expressive-Beautiful',\n 'Spring-Framework-Java-Enterprise-Application-Development',\n 'ASP-NET-Core-Cross-Platform-Web-Framework-Microsoft-Open',\n 'Nginx-Web-Server-Reverse-Proxy-Load-Balancer-HTTP-Cache',\n 'Apache-HTTP-Server-Web-Server-Cross-Platform-Open-Source',\n 'Cloudflare-CDN-DDoS-Protection-Web-Application-Firewall',\n 'Amazon-Web-Services-Cloud-Computing-Platform-Infrastructure',\n 'Google-Cloud-Platform-Cloud-Computing-Services-Infrastructure',\n 'Microsoft-Azure-Cloud-Computing-Service-Platform-Enterprise',\n 'Docker-Container-Platform-Application-Deployment-Orchestration',\n 'Kubernetes-Container-Orchestration-Platform-Cloud-Native',\n 'Elasticsearch-Search-Analytics-Engine-Distributed-RESTful',\n 'Redis-In-Memory-Data-Store-Cache-Message-Broker-Database',\n 'MongoDB-Document-Database-NoSQL-Scalable-High-Performance',\n 'PostgreSQL-Object-Relational-Database-System-Open-Source',\n 'MySQL-Relational-Database-Management-System-Oracle-Open',\n 'GraphQL-Query-Language-API-Runtime-Data-Fetching-Facebook',\n 'Webpack-Module-Bundler-JavaScript-Asset-Pipeline-Build-Tool',\n ]\n \n # 分类 ID\n cats_options = [\n [1, 2, 3], [4, 5], [6, 7, 8, 9], [10, 11, 12], [13, 14, 15, 16],\n [17, 18], [19, 20, 21], [22, 23, 24, 25], [26, 27], [28, 29, 30],\n ]\n \n # 描述模板\n descriptions = [\n 'A powerful and flexible content management system designed for enterprise-level web applications with extensive plugin ecosystem and community support.',\n 'Modern JavaScript framework for building interactive user interfaces with component-based architecture and virtual DOM for optimal performance.',\n 'High-performance web server and reverse proxy with advanced load balancing, caching, and security features for production deployments.',\n 'Comprehensive cloud computing platform providing infrastructure as a service, platform as a service, and software as a service solutions.',\n 'Enterprise-grade database management system with ACID compliance, advanced security features, and horizontal scaling capabilities.',\n 'Container orchestration platform for automating deployment, scaling, and management of containerized applications across clusters.',\n 'Full-stack web application framework with built-in ORM, authentication, and admin interface for rapid development.',\n 'Lightweight and modular CSS framework with utility classes for building responsive and customizable user interfaces.',\n 'Real-time search and analytics engine with distributed architecture for handling large-scale data processing workloads.',\n 'In-memory data structure store supporting various data types with persistence options and pub/sub messaging capabilities.',\n ]\n \n count = 0\n batch_data = []\n \n for i in range(200): # 生成 200 条 Wappalyzer 指纹\n name = f'{random.choice(name_templates)}-{random.randint(1000, 9999)}'\n cats = random.choice(cats_options)\n \n # 生成 cookies 规则\n cookies = {}\n for j in range(random.randint(2, 5)):\n cookies[f'cookie_name_{j}'] = f'regex_pattern_{random.randint(1000, 9999)}'\n \n # 生成 headers 规则\n headers = {}\n header_names = ['X-Powered-By', 'Server', 'X-Generator', 'X-Framework', 'X-Application']\n for h in random.sample(header_names, random.randint(2, 4)):\n headers[h] = f'pattern_{random.randint(1000, 9999)}'\n \n # 生成 script_src 规则\n script_src = [f'/js/lib/framework-{random.randint(100, 999)}.min.js' for _ in range(random.randint(3, 8))]\n \n # 生成 js 变量规则\n js_vars = [f'window.Framework{random.randint(100, 999)}' for _ in range(random.randint(2, 6))]\n \n # 生成 implies 依赖\n implies = [f'Dependency-{random.randint(100, 999)}' for _ in range(random.randint(1, 4))]\n \n # 生成 meta 规则\n meta = {}\n meta_names = ['generator', 'framework', 'application-name', 'author', 'description']\n for m in random.sample(meta_names, random.randint(2, 4)):\n meta[m] = f'meta_pattern_{random.randint(1000, 9999)}'\n \n # 生成 html 规则\n html = [f'
' for _ in range(random.randint(3, 7))]\n \n description = random.choice(descriptions)\n website = f'https://www.example-framework-{random.randint(1000, 9999)}.com'\n cpe = f'cpe:/a:vendor:product:{random.randint(1, 10)}.{random.randint(0, 9)}.{random.randint(0, 9)}'\n \n batch_data.append((\n name, json.dumps(cats), json.dumps(cookies), json.dumps(headers),\n json.dumps(script_src), json.dumps(js_vars), json.dumps(implies),\n json.dumps(meta), json.dumps(html), description, website, cpe\n ))\n count += 1\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO wappalyzer_fingerprint (\n name, cats, cookies, headers, script_src, js, implies,\n meta, html, description, website, cpe, created_at\n ) VALUES %s\n ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n \n print(f\" ✓ 创建了 {count} 个 Wappalyzer 指纹\\n\")\n\n def create_fingers_fingerprints(self):\n \"\"\"创建 Fingers 指纹数据\"\"\"\n print(\"🔍 创建 Fingers 指纹...\")\n cur = self.conn.cursor()\n \n # 应用名称模板（长名称）\n name_templates = [\n 'Apache-HTTP-Server-Web-Application-Platform-Open-Source-Software',\n 'Nginx-High-Performance-Web-Server-Reverse-Proxy-Load-Balancer',\n 'Microsoft-IIS-Internet-Information-Services-Windows-Web-Server',\n 'Tomcat-Java-Servlet-Container-Apache-Application-Server-Platform',\n 'WordPress-Content-Management-System-Blogging-Platform-PHP-MySQL',\n 'Drupal-CMS-Content-Management-Framework-PHP-Community-Platform',\n 'Joomla-Open-Source-CMS-Web-Content-Management-System-Framework',\n 'Laravel-PHP-Framework-Web-Application-Development-MVC-Pattern',\n 'Django-Python-Web-Framework-High-Level-MTV-Architecture-Pattern',\n 'Ruby-on-Rails-Web-Application-Framework-MVC-Convention-Configuration',\n 'Express-JS-Node-JS-Web-Application-Framework-Minimal-Flexible',\n 'Spring-Boot-Java-Framework-Microservices-Enterprise-Application',\n 'ASP-NET-Core-Cross-Platform-Web-Framework-Microsoft-Open-Source',\n 'React-JavaScript-Library-Building-User-Interfaces-Facebook-Meta',\n 'Vue-JS-Progressive-JavaScript-Framework-Web-Application-Development',\n 'Angular-TypeScript-Platform-Framework-Web-Applications-Google',\n 'jQuery-JavaScript-Library-DOM-Manipulation-Ajax-Event-Handling',\n 'Bootstrap-CSS-Framework-Responsive-Mobile-First-Web-Development',\n 'Tailwind-CSS-Utility-First-Framework-Rapid-UI-Development-Tool',\n 'Docker-Container-Platform-Application-Deployment-Virtualization',\n 'Kubernetes-Container-Orchestration-Platform-Cloud-Native-Apps',\n 'Redis-In-Memory-Data-Structure-Store-Database-Cache-Broker',\n 'MongoDB-Document-NoSQL-Database-Scalable-High-Performance',\n 'PostgreSQL-Relational-Database-Management-System-Open-Source',\n 'MySQL-Database-Management-System-Relational-Database-Oracle',\n 'Elasticsearch-Search-Analytics-Engine-Distributed-RESTful-API',\n 'RabbitMQ-Message-Broker-Advanced-Message-Queuing-Protocol',\n 'Jenkins-Automation-Server-Continuous-Integration-Deployment',\n 'GitLab-DevOps-Platform-Git-Repository-CI-CD-Pipeline-Management',\n 'Grafana-Observability-Platform-Metrics-Visualization-Dashboard',\n ]\n \n # 标签模板\n tag_options = [\n ['web-server', 'http', 'apache', 'linux'],\n ['web-server', 'reverse-proxy', 'nginx', 'high-performance'],\n ['web-server', 'windows', 'microsoft', 'iis'],\n ['cms', 'php', 'wordpress', 'blog', 'mysql'],\n ['cms', 'php', 'drupal', 'content-management'],\n ['framework', 'php', 'laravel', 'mvc', 'modern'],\n ['framework', 'python', 'django', 'full-stack'],\n ['framework', 'ruby', 'rails', 'mvc', 'convention'],\n ['framework', 'javascript', 'nodejs', 'express', 'backend'],\n ['framework', 'java', 'spring', 'enterprise', 'microservices'],\n ['framework', 'dotnet', 'aspnet', 'microsoft', 'cross-platform'],\n ['library', 'javascript', 'react', 'frontend', 'ui'],\n ['framework', 'javascript', 'vue', 'progressive', 'reactive'],\n ['framework', 'typescript', 'angular', 'google', 'spa'],\n ['database', 'nosql', 'mongodb', 'document', 'json'],\n ['database', 'relational', 'postgresql', 'sql', 'open-source'],\n ['database', 'relational', 'mysql', 'sql', 'oracle'],\n ['cache', 'database', 'redis', 'in-memory', 'key-value'],\n ['search', 'analytics', 'elasticsearch', 'distributed', 'restful'],\n ['container', 'docker', 'virtualization', 'deployment'],\n ]\n \n # 规则模板\n rule_templates = [\n # favicon hash 规则\n [{'method': 'faviconhash', 'favicon': f'-{random.randint(1000000000, 9999999999)}'}],\n # keyword 规则\n [{'method': 'keyword', 'keyword': ['X-Powered-By', 'Server', 'X-Generator']}],\n # 混合规则\n [\n {'method': 'keyword', 'keyword': ['content=\"WordPress', 'wp-content/', 'wp-includes/']},\n {'method': 'faviconhash', 'favicon': f'-{random.randint(1000000000, 9999999999)}'}\n ],\n # header 规则\n [{'method': 'keyword', 'keyword': ['Server: nginx', 'X-Powered-By: PHP']}],\n # body 规则\n [{'method': 'keyword', 'keyword': [' list:\n \"\"\"创建 1000 个扫描目标\"\"\"\n print(\"🎯 创建扫描目标 (1,000 个)...\")\n cur = self.conn.cursor()\n \n suffix = random.randint(1000, 9999)\n domains = [\n 'example', 'test', 'demo', 'staging', 'production', 'api', 'app', 'web',\n 'portal', 'admin', 'dashboard', 'service', 'platform', 'cloud', 'data',\n 'analytics', 'security', 'enterprise', 'global', 'internal', 'external'\n ]\n tlds = ['.com', '.io', '.net', '.org', '.dev', '.app', '.cloud', '.tech']\n \n ids = []\n for i in range(1000):\n domain = f'{random.choice(domains)}-{suffix}-{i:04d}{random.choice(tlds)}'\n cur.execute(\"\"\"\n INSERT INTO target (name, type, created_at, deleted_at)\n VALUES (%s, 'domain', NOW() - INTERVAL '%s days', NULL)\n ON CONFLICT DO NOTHING\n RETURNING id\n \"\"\", (domain, random.randint(0, 365)))\n row = cur.fetchone()\n if row:\n ids.append(row[0])\n \n print(f\" ✓ 创建了 {len(ids)} 个扫描目标\\n\")\n return ids\n\n def create_subdomains(self, target_ids: list):\n \"\"\"创建 200,000 个子域名\"\"\"\n print(\"🌐 创建子域名 (200,000 个)...\")\n cur = self.conn.cursor()\n \n prefixes = [\n 'api', 'admin', 'portal', 'dashboard', 'app', 'mobile', 'staging', 'dev',\n 'test', 'qa', 'uat', 'beta', 'alpha', 'demo', 'sandbox', 'internal',\n 'secure', 'auth', 'login', 'sso', 'oauth', 'identity', 'accounts',\n 'mail', 'smtp', 'imap', 'webmail', 'ftp', 'sftp', 'files', 'storage',\n 'cdn', 'static', 'assets', 'media', 'db', 'database', 'mysql', 'postgres',\n 'redis', 'mongo', 'elastic', 'vpn', 'remote', 'gateway', 'proxy',\n 'monitoring', 'metrics', 'grafana', 'prometheus', 'kibana', 'logs',\n 'jenkins', 'ci', 'cd', 'gitlab', 'jira', 'confluence', 'kubernetes', 'k8s',\n 'www', 'www2', 'www3', 'ns1', 'ns2', 'mx', 'mx1', 'mx2', 'autodiscover',\n ]\n secondary = ['', 'prod-', 'dev-', 'staging-', 'test-', 'us-', 'eu-', 'ap-']\n \n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n batch_size = 50000 # 增加批量大小\n target_count = 200000\n per_target = target_count // len(domain_targets) + 1\n \n for target_id, target_name in domain_targets:\n for i in range(per_target):\n if count >= target_count:\n break\n prefix = random.choice(prefixes)\n sec = random.choice(secondary)\n subdomain_name = f'{sec}{prefix}-{i:04d}.{target_name}'\n batch_data.append((subdomain_name, target_id, random.randint(0, 90)))\n count += 1\n \n if len(batch_data) >= batch_size:\n execute_values(cur, \"\"\"\n INSERT INTO subdomain (name, target_id, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, NOW() - INTERVAL '%s days')\")\n self.conn.commit() # 每批次提交\n batch_data = []\n print(f\" ✓ {count:,} / {target_count:,}\")\n if count >= target_count:\n break\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO subdomain (name, target_id, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, NOW() - INTERVAL '%s days')\")\n self.conn.commit()\n \n print(f\" ✓ 创建了 {count:,} 个子域名\\n\")\n\n def create_websites(self, target_ids: list):\n \"\"\"创建 200,000 个网站\"\"\"\n print(\"🌍 创建网站 (200,000 个)...\")\n cur = self.conn.cursor()\n \n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n batch_size = 50000 # 增加批量大小\n target_count = 200000\n per_target = target_count // len(domain_targets) + 1\n \n for target_id, target_name in domain_targets:\n for i in range(per_target):\n if count >= target_count:\n break\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'million-website/{i:06d}')\n \n batch_data.append((\n url, target_id, target_name, f'Website Title {count}',\n 'nginx/1.24.0', ['React', 'Node.js'],\n random.choice([200, 301, 403]), random.randint(1000, 50000),\n 'text/html', '', ''\n ))\n count += 1\n \n if len(batch_data) >= batch_size:\n execute_values(cur, \"\"\"\n INSERT INTO website (url, target_id, host, title, webserver, tech, \n status_code, content_length, content_type, location, response_body, \n vhost, response_headers, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NULL, '', NOW())\")\n self.conn.commit()\n batch_data = []\n print(f\" ✓ {count:,} / {target_count:,}\")\n if count >= target_count:\n break\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO website (url, target_id, host, title, webserver, tech, \n status_code, content_length, content_type, location, response_body, \n vhost, response_headers, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NULL, '', NOW())\")\n self.conn.commit()\n \n print(f\" ✓ 创建了 {count:,} 个网站\\n\")\n\n def create_endpoints(self, target_ids: list):\n \"\"\"创建 200,000 个端点\"\"\"\n print(\"🔗 创建端点 (200,000 个)...\")\n cur = self.conn.cursor()\n \n paths = ['/api/v1/', '/api/v2/', '/admin/', '/portal/', '/graphql/', '/health/', '/metrics/']\n \n # 100字符长度的标题\n titles = [\n 'Enterprise API Gateway - RESTful Service Documentation with OpenAPI 3.0 Specification and Interactive',\n 'User Authentication Service - OAuth 2.0 and SAML 2.0 Single Sign-On Integration Platform Dashboard',\n 'Payment Processing Gateway - PCI-DSS Compliant Transaction Management System Administration Panel',\n 'Content Delivery Network - Global Edge Cache Management and Real-time Analytics Dashboard Interface',\n 'Database Administration Console - PostgreSQL Cluster Management with Automated Backup and Recovery',\n ]\n \n # 扩展的技术栈列表\n all_techs = [\n 'React 18.2.0', 'Vue.js 3.4', 'Angular 17.1', 'Next.js 14.0', 'Node.js 20.10',\n 'Express 4.18', 'Python 3.12', 'Django 5.0', 'FastAPI 0.109', 'Go 1.21',\n 'PostgreSQL 16.1', 'MySQL 8.2', 'MongoDB 7.0', 'Redis 7.2', 'Elasticsearch 8.11',\n 'Kubernetes 1.28', 'Docker 24.0', 'Nginx 1.25', 'GraphQL 16.8', 'JWT',\n ]\n \n # 扩展的 tags\n all_tags = [\n 'debug', 'config', 'api', 'json', 'upload', 'file', 'admin', 'auth',\n 'secrets', 'credentials', 'backup', 'archive', 'trace', 'log', 'error',\n 'security', 'vulnerability', 'payment', 'user', 'internal', 'private',\n ]\n \n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n batch_size = 50000 # 增加批量大小\n target_count = 200000\n per_target = target_count // len(domain_targets) + 1\n \n for target_id, target_name in domain_targets:\n for i in range(per_target):\n if count >= target_count:\n break\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'million-endpoint/{i:06d}')\n \n # 生成 100 字符的标题\n title = random.choice(titles)\n \n # 生成 10-20 个技术\n num_techs = random.randint(10, 20)\n tech_list = random.sample(all_techs, min(num_techs, len(all_techs)))\n \n # 生成 10-20 个 tags\n num_tags = random.randint(10, 20)\n tags = random.sample(all_tags, min(num_tags, len(all_tags)))\n \n batch_data.append((\n url, target_id, target_name, title,\n 'nginx/1.24.0', random.choice([200, 201, 401, 403]),\n random.randint(100, 5000), 'application/json',\n tech_list, '', '{\"status\":\"ok\"}', None, tags\n ))\n count += 1\n \n if len(batch_data) >= batch_size:\n execute_values(cur, \"\"\"\n INSERT INTO endpoint (url, target_id, host, title, webserver, status_code,\n content_length, content_type, tech, location, response_body, vhost, \n matched_gf_patterns, response_headers, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, '', NOW())\")\n self.conn.commit()\n batch_data = []\n print(f\" ✓ {count:,} / {target_count:,}\")\n if count >= target_count:\n break\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO endpoint (url, target_id, host, title, webserver, status_code,\n content_length, content_type, tech, location, response_body, vhost, \n matched_gf_patterns, response_headers, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, '', NOW())\")\n self.conn.commit()\n \n print(f\" ✓ 创建了 {count:,} 个端点\\n\")\n\n def create_host_port_mappings(self, target_ids: list):\n \"\"\"创建 200,000 个主机端口映射(用于 IP 统计)\"\"\"\n print(\"🔌 创建主机端口映射 (200,000 个)...\")\n cur = self.conn.cursor()\n \n ports = [22, 80, 443, 3306, 5432, 6379, 8080, 8443, 9000, 9200, 27017]\n \n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n batch_size = 50000 # 增加批量大小\n target_count = 200000\n per_target = target_count // len(domain_targets) + 1\n \n for target_id, target_name in domain_targets:\n for i in range(per_target):\n if count >= target_count:\n break\n ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}'\n port = random.choice(ports)\n \n batch_data.append((target_id, target_name, ip, port))\n count += 1\n \n if len(batch_data) >= batch_size:\n execute_values(cur, \"\"\"\n INSERT INTO host_port_mapping (target_id, host, ip, port, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, NOW())\")\n self.conn.commit()\n batch_data = []\n print(f\" ✓ {count:,} / {target_count:,}\")\n if count >= target_count:\n break\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO host_port_mapping (target_id, host, ip, port, created_at)\n VALUES %s ON CONFLICT DO NOTHING\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, NOW())\")\n self.conn.commit()\n \n print(f\" ✓ 创建了 {count:,} 个主机端口映射\\n\")\n\n def create_vulnerabilities(self, target_ids: list):\n \"\"\"创建 200,000 个漏洞 (critical: 50k, high: 50k, medium: 50k, low: 30k, info: 20k)\"\"\"\n print(\"🐛 创建漏洞 (200,000 个)...\")\n cur = self.conn.cursor()\n \n vuln_types = [\n 'sql-injection-authentication-bypass-vulnerability-',\n 'cross-site-scripting-xss-stored-persistent-attack-',\n 'server-side-request-forgery-ssrf-internal-access--',\n 'remote-code-execution-rce-command-injection-flaw--',\n 'local-file-inclusion-lfi-path-traversal-exploit---',\n 'xml-external-entity-xxe-injection-vulnerability---',\n 'cross-site-request-forgery-csrf-token-validation--',\n 'insecure-direct-object-reference-idor-access-ctrl-',\n ]\n sources = [\n 'nuclei-vulnerability-scanner--',\n 'dalfox-xss-parameter-analysis-',\n 'sqlmap-sql-injection-testing--',\n 'burp-suite-professional-scan--',\n 'owasp-zap-security-scanner----',\n ]\n \n # 按严重程度分配数量\n severity_counts = {\n 'critical': 50000,\n 'high': 50000,\n 'medium': 50000,\n 'low': 30000,\n 'info': 20000,\n }\n \n cur.execute(\"SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL\")\n domain_targets = cur.fetchall()\n \n count = 0\n batch_data = []\n batch_size = 50000 # 增加批量大小\n \n for severity, target_count in severity_counts.items():\n print(f\" 创建 {severity} 级别漏洞: {target_count:,} 个\")\n cvss_ranges = {\n 'critical': (9.0, 10.0), 'high': (7.0, 8.9), 'medium': (4.0, 6.9),\n 'low': (0.1, 3.9), 'info': (0.0, 0.0)\n }\n cvss_range = cvss_ranges.get(severity, (0.0, 10.0))\n \n severity_count = 0\n per_target = target_count // len(domain_targets) + 1\n \n for target_id, target_name in domain_targets:\n for i in range(per_target):\n if severity_count >= target_count:\n break\n \n cvss_score = round(random.uniform(*cvss_range), 1)\n # 生成固定 245 长度的 URL\n url = generate_fixed_length_url(target_name, length=245, path_hint=f'million-vuln/{severity_count:06d}')\n \n # 生成固定 300 长度的描述\n description = generate_fixed_length_text(length=300, text_type='description')\n \n batch_data.append((\n target_id, url, random.choice(vuln_types), severity,\n random.choice(sources), cvss_score,\n description,\n json.dumps({'template': f'CVE-2024-{random.randint(10000, 99999)}'})\n ))\n severity_count += 1\n count += 1\n \n if len(batch_data) >= batch_size:\n execute_values(cur, \"\"\"\n INSERT INTO vulnerability (target_id, url, vuln_type, severity, source,\n cvss_score, description, raw_output, created_at)\n VALUES %s\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n self.conn.commit()\n batch_data = []\n print(f\" ✓ {severity_count:,} / {target_count:,}\")\n if severity_count >= target_count:\n break\n \n if batch_data:\n execute_values(cur, \"\"\"\n INSERT INTO vulnerability (target_id, url, vuln_type, severity, source,\n cvss_score, description, raw_output, created_at)\n VALUES %s\n \"\"\", batch_data, template=\"(%s, %s, %s, %s, %s, %s, %s, %s, NOW())\")\n self.conn.commit()\n \n print(f\" ✓ 创建了 {count:,} 个漏洞\\n\")\n\n def create_statistics_history(self):\n \"\"\"创建 7 天的统计历史数据(用于趋势图)\"\"\"\n print(\"📈 创建统计历史数据 (7 天)...\")\n cur = self.conn.cursor()\n \n # 先清除旧的历史数据\n cur.execute(\"DELETE FROM statistics_history\")\n \n # 生成 7 天的历史数据，数值逐渐增长\n base_values = {\n 'total_targets': 800,\n 'total_subdomains': 150000,\n 'total_ips': 150000,\n 'total_endpoints': 150000,\n 'total_websites': 150000,\n 'total_vulns': 150000,\n }\n \n for i in range(7):\n date = datetime.now().date() - timedelta(days=6-i)\n growth_factor = 1 + (i * 0.05) # 每天增长 5%\n \n total_targets = int(base_values['total_targets'] * growth_factor)\n total_subdomains = int(base_values['total_subdomains'] * growth_factor)\n total_ips = int(base_values['total_ips'] * growth_factor)\n total_endpoints = int(base_values['total_endpoints'] * growth_factor)\n total_websites = int(base_values['total_websites'] * growth_factor)\n total_vulns = int(base_values['total_vulns'] * growth_factor)\n total_assets = total_subdomains + total_ips + total_endpoints + total_websites\n \n cur.execute(\"\"\"\n INSERT INTO statistics_history (\n date, total_targets, total_subdomains, total_ips, total_endpoints,\n total_websites, total_vulns, total_assets, created_at, updated_at\n ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, NOW(), NOW())\n ON CONFLICT (date) DO UPDATE SET\n total_targets = EXCLUDED.total_targets,\n total_subdomains = EXCLUDED.total_subdomains,\n total_ips = EXCLUDED.total_ips,\n total_endpoints = EXCLUDED.total_endpoints,\n total_websites = EXCLUDED.total_websites,\n total_vulns = EXCLUDED.total_vulns,\n total_assets = EXCLUDED.total_assets,\n updated_at = NOW()\n \"\"\", (date, total_targets, total_subdomains, total_ips, total_endpoints,\n total_websites, total_vulns, total_assets))\n \n print(f\" ✓ 创建了 7 天的统计历史数据\\n\")\n\n def update_asset_statistics(self):\n \"\"\"更新资产统计表(Dashboard 卡片使用)\"\"\"\n print(\"📊 更新资产统计表...\")\n cur = self.conn.cursor()\n \n # 统计实际数据\n cur.execute(\"SELECT COUNT(*) FROM target WHERE deleted_at IS NULL\")\n total_targets = cur.fetchone()[0]\n \n cur.execute(\"SELECT COUNT(*) FROM subdomain\")\n total_subdomains = cur.fetchone()[0]\n \n cur.execute(\"SELECT COUNT(DISTINCT ip) FROM host_port_mapping\")\n total_ips = cur.fetchone()[0]\n \n cur.execute(\"SELECT COUNT(*) FROM endpoint\")\n total_endpoints = cur.fetchone()[0]\n \n cur.execute(\"SELECT COUNT(*) FROM website\")\n total_websites = cur.fetchone()[0]\n \n cur.execute(\"SELECT COUNT(*) FROM vulnerability\")\n total_vulns = cur.fetchone()[0]\n \n total_assets = total_subdomains + total_ips + total_endpoints + total_websites\n \n # 更新或插入统计数据\n cur.execute(\"\"\"\n INSERT INTO asset_statistics (\n id, total_targets, total_subdomains, total_ips, total_endpoints,\n total_websites, total_vulns, total_assets,\n prev_targets, prev_subdomains, prev_ips, prev_endpoints,\n prev_websites, prev_vulns, prev_assets,\n updated_at\n ) VALUES (\n 1, %s, %s, %s, %s, %s, %s, %s,\n %s, %s, %s, %s, %s, %s, %s, NOW()\n )\n ON CONFLICT (id) DO UPDATE SET\n total_targets = EXCLUDED.total_targets,\n total_subdomains = EXCLUDED.total_subdomains,\n total_ips = EXCLUDED.total_ips,\n total_endpoints = EXCLUDED.total_endpoints,\n total_websites = EXCLUDED.total_websites,\n total_vulns = EXCLUDED.total_vulns,\n total_assets = EXCLUDED.total_assets,\n prev_targets = asset_statistics.total_targets,\n prev_subdomains = asset_statistics.total_subdomains,\n prev_ips = asset_statistics.total_ips,\n prev_endpoints = asset_statistics.total_endpoints,\n prev_websites = asset_statistics.total_websites,\n prev_vulns = asset_statistics.total_vulns,\n prev_assets = asset_statistics.total_assets,\n updated_at = NOW()\n \"\"\", (total_targets, total_subdomains, total_ips, total_endpoints,\n total_websites, total_vulns, total_assets,\n int(total_targets * 0.9), int(total_subdomains * 0.9), int(total_ips * 0.9),\n int(total_endpoints * 0.9), int(total_websites * 0.9), int(total_vulns * 0.9),\n int(total_assets * 0.9)))\n \n print(f\" ✓ 统计数据已更新:\")\n print(f\" - 目标: {total_targets:,}\")\n print(f\" - 子域名: {total_subdomains:,}\")\n print(f\" - IP: {total_ips:,}\")\n print(f\" - 端点: {total_endpoints:,}\")\n print(f\" - 网站: {total_websites:,}\")\n print(f\" - 漏洞: {total_vulns:,}\")\n print(f\" - 总资产: {total_assets:,}\\n\")\n\n\ndef main():\n parser = argparse.ArgumentParser(description=\"直接通过 SQL 生成测试数据\")\n parser.add_argument('--clear', action='store_true', help='清除现有数据后重新生成')\n parser.add_argument('--million', action='store_true', help='生成百万级数据(用于 Dashboard 溢出测试)')\n args = parser.parse_args()\n \n if args.million:\n generator = MillionDataGenerator(clear=args.clear)\n else:\n generator = TestDataGenerator(clear=args.clear)\n generator.run()\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "backend/scripts/performance/monitor_pg_performance.sh", "content": "#!/bin/bash\n\n# PostgreSQL 性能监控脚本\n# 用法：./monitor_pg_performance.sh [数据库名] [间隔秒数]\n\n# 尝试从 .env 加载数据库配置\nSCRIPT_DIR=\"$( cd \"$( dirname \"${BASH_SOURCE[0]}\" )\" && pwd )\"\nPROJECT_DIR=\"$(dirname \"$SCRIPT_DIR\")\"\n\nif [ -f \"$PROJECT_DIR/.env\" ]; then\n export PGHOST=$(grep \"^DB_HOST=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGPORT=$(grep \"^DB_PORT=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGUSER=$(grep \"^DB_USER=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGPASSWORD=$(grep \"^DB_PASSWORD=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n PGDATABASE=$(grep \"^DB_NAME=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\nfi\n\nDB_NAME=${1:-${PGDATABASE:-xingrin}}\nINTERVAL=${2:-2}\n\necho \"========================================\"\necho \" PostgreSQL 性能监控\"\necho \"========================================\"\necho \"数据库: $DB_NAME\"\necho \"刷新间隔: ${INTERVAL}秒\"\necho \"按 Ctrl+C 停止监控\"\necho \"========================================\"\necho \"\"\n\n# 颜色定义\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nBLUE='\\033[0;34m'\nNC='\\033[0m' # No Color\n\nwhile true; do\n clear\n echo -e \"${BLUE}========================================\"\n echo \" PostgreSQL 实时性能监控\"\n echo \"========================================${NC}\"\n echo \"时间: $(date '+%Y-%m-%d %H:%M:%S')\"\n echo \"\"\n \n # 1. 数据库连接数\n echo -e \"${GREEN}[1] 连接数统计${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n count(*) as total_connections,\n count(*) FILTER (WHERE state = 'active') as active,\n count(*) FILTER (WHERE state = 'idle') as idle,\n count(*) FILTER (WHERE state = 'idle in transaction') as idle_in_transaction\n FROM pg_stat_activity \n WHERE datname = '$DB_NAME';\n \" -t\n \n # 2. 当前活跃查询\n echo -e \"${GREEN}[2] 活跃查询 (Top 5)${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n pid,\n usename,\n application_name,\n state,\n EXTRACT(EPOCH FROM (now() - query_start))::int as duration_sec,\n LEFT(query, 60) as query_preview\n FROM pg_stat_activity \n WHERE datname = '$DB_NAME' \n AND state != 'idle'\n AND query NOT LIKE '%pg_stat_activity%'\n ORDER BY query_start \n LIMIT 5;\n \"\n \n # 3. 表级统计（插入速度）\n echo -e \"${GREEN}[3] 表插入统计${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n schemaname || '.' || relname as table_name,\n n_tup_ins as inserts,\n n_tup_upd as updates,\n n_tup_del as deletes,\n n_live_tup as live_rows\n FROM pg_stat_user_tables \n WHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory')\n ORDER BY n_tup_ins DESC;\n \"\n \n # 4. 锁等待\n echo -e \"${GREEN}[4] 锁等待情况${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n COUNT(*) as waiting_queries\n FROM pg_stat_activity \n WHERE wait_event_type = 'Lock' \n AND datname = '$DB_NAME';\n \" -t\n \n # 5. 数据库大小\n echo -e \"${GREEN}[5] 数据库大小${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n pg_size_pretty(pg_database_size('$DB_NAME')) as database_size;\n \" -t\n \n # 6. 缓存命中率\n echo -e \"${GREEN}[6] 缓存命中率${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n sum(heap_blks_hit) / nullif(sum(heap_blks_hit) + sum(heap_blks_read), 0) * 100 as cache_hit_ratio\n FROM pg_statio_user_tables;\n \" -t\n \n # 7. IO 统计\n echo -e \"${GREEN}[7] 磁盘 IO 统计${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n sum(heap_blks_read) as blocks_read,\n sum(heap_blks_hit) as blocks_hit,\n sum(idx_blks_read) as idx_blocks_read,\n sum(idx_blks_hit) as idx_blocks_hit\n FROM pg_statio_user_tables;\n \" -t\n \n # 8. 长时间运行的事务\n echo -e \"${YELLOW}[8] 长时间运行事务 (>30秒)${NC}\"\n psql -d $DB_NAME -c \"\n SELECT \n pid,\n usename,\n EXTRACT(EPOCH FROM (now() - xact_start))::int as transaction_duration_sec,\n state,\n LEFT(query, 50) as query_preview\n FROM pg_stat_activity \n WHERE datname = '$DB_NAME' \n AND state != 'idle'\n AND xact_start IS NOT NULL\n AND EXTRACT(EPOCH FROM (now() - xact_start)) > 30\n ORDER BY xact_start;\n \"\n \n echo \"\"\n echo -e \"${BLUE}下次刷新: ${INTERVAL}秒后...${NC}\"\n sleep $INTERVAL\ndone\n" }, { "path": "backend/scripts/performance/pg_stats_after_test.sql", "content": "-- 测试后记录对比数据\n-- 用法：psql -d xingrin -f pg_stats_after_test.sql > stats_after.txt\n\n\\echo '========================================'\n\\echo ' PostgreSQL 测试后统计数据'\n\\echo '========================================'\n\\echo ''\n\n\\echo '当前时间:'\nSELECT now();\n\n\\echo ''\n\\echo '表记录数（测试后）:'\nSELECT \n schemaname || '.' || relname as table_name,\n n_live_tup as row_count,\n n_dead_tup as dead_rows,\n pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) as total_size,\n last_vacuum,\n last_autovacuum,\n last_analyze,\n last_autoanalyze\nFROM pg_stat_user_tables \nWHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory', 'scan')\nORDER BY n_live_tup DESC;\n\n\\echo ''\n\\echo '表膨胀检查:'\nSELECT \n schemaname || '.' || relname as table_name,\n pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) as total_size,\n n_live_tup as live_rows,\n n_dead_tup as dead_rows,\n CASE \n WHEN n_live_tup = 0 THEN 0\n ELSE round((n_dead_tup::numeric / n_live_tup) * 100, 2)\n END as dead_ratio_percent\nFROM pg_stat_user_tables \nWHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory')\nORDER BY n_dead_tup DESC;\n\n\\echo ''\n\\echo '索引使用情况:'\nSELECT \n schemaname || '.' || relname as table_name,\n indexname,\n idx_scan as index_scans,\n idx_tup_read as rows_read,\n idx_tup_fetch as rows_fetched,\n pg_size_pretty(pg_relation_size(indexname::regclass)) as index_size\nFROM pg_stat_user_indexes \nWHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory')\nORDER BY idx_scan DESC;\n\n\\echo ''\n\\echo '表统计增量（本次测试产生）:'\nSELECT \n schemaname || '.' || relname as table_name,\n n_tup_ins as total_inserts,\n n_tup_upd as total_updates,\n n_tup_del as total_deletes,\n n_tup_hot_upd as hot_updates\nFROM pg_stat_user_tables \nWHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory')\nORDER BY n_tup_ins DESC;\n\n\\echo ''\n\\echo '缓存命中率（测试后）:'\nSELECT \n sum(heap_blks_hit) as heap_blocks_hit,\n sum(heap_blks_read) as heap_blocks_read,\n CASE \n WHEN sum(heap_blks_hit) + sum(heap_blks_read) = 0 THEN 0\n ELSE round((sum(heap_blks_hit)::numeric / (sum(heap_blks_hit) + sum(heap_blks_read))) * 100, 2)\n END as cache_hit_ratio_percent\nFROM pg_statio_user_tables\nWHERE schemaname = 'public';\n\n\\echo ''\n\\echo 'IO 统计:'\nSELECT \n sum(heap_blks_read) as heap_blocks_read_from_disk,\n sum(heap_blks_hit) as heap_blocks_hit_in_cache,\n sum(idx_blks_read) as index_blocks_read_from_disk,\n sum(idx_blks_hit) as index_blocks_hit_in_cache\nFROM pg_statio_user_tables\nWHERE schemaname = 'public';\n\n\\echo ''\n\\echo '长时间运行查询:'\nSELECT \n pid,\n usename,\n application_name,\n state,\n EXTRACT(EPOCH FROM (now() - query_start))::int as duration_seconds,\n query\nFROM pg_stat_activity \nWHERE datname = current_database()\n AND state != 'idle'\n AND query NOT LIKE '%pg_stat_activity%'\nORDER BY query_start;\n\n\\echo ''\n\\echo '数据库总大小:'\nSELECT \n pg_size_pretty(pg_database_size(current_database())) as database_size;\n\n\\echo ''\n\\echo '========================================'\n" }, { "path": "backend/scripts/performance/pg_stats_before_test.sql", "content": "-- 测试前记录基准数据\n-- 用法：psql -d xingrin -f pg_stats_before_test.sql > stats_before.txt\n\n\\echo '========================================'\n\\echo ' PostgreSQL 测试前基准数据'\n\\echo '========================================'\n\\echo ''\n\n\\echo '当前时间:'\nSELECT now();\n\n\\echo ''\n\\echo '数据库连接配置:'\nSHOW max_connections;\nSHOW shared_buffers;\nSHOW work_mem;\nSHOW maintenance_work_mem;\n\n\\echo ''\n\\echo '表记录数（测试前）:'\nSELECT \n schemaname || '.' || relname as table_name,\n n_live_tup as row_count,\n pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) as total_size\nFROM pg_stat_user_tables \nWHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory', 'scan')\nORDER BY n_live_tup DESC;\n\n\\echo ''\n\\echo '索引信息:'\nSELECT \n schemaname || '.' || tablename as table_name,\n indexname,\n pg_size_pretty(pg_relation_size(indexname::regclass)) as index_size\nFROM pg_indexes \nWHERE schemaname = 'public'\n AND tablename IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory')\nORDER BY tablename, indexname;\n\n\\echo ''\n\\echo '当前活跃连接数:'\nSELECT \n count(*) as total,\n count(*) FILTER (WHERE state = 'active') as active,\n count(*) FILTER (WHERE state = 'idle') as idle\nFROM pg_stat_activity \nWHERE datname = current_database();\n\n\\echo ''\n\\echo '表统计信息（累计）:'\nSELECT \n schemaname || '.' || relname as table_name,\n seq_scan as sequential_scans,\n seq_tup_read as seq_rows_read,\n idx_scan as index_scans,\n idx_tup_fetch as idx_rows_fetched,\n n_tup_ins as inserts,\n n_tup_upd as updates,\n n_tup_del as deletes\nFROM pg_stat_user_tables \nWHERE schemaname = 'public'\n AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory')\nORDER BY relname;\n\n\\echo ''\n\\echo '缓存命中率:'\nSELECT \n sum(heap_blks_hit) as heap_blocks_hit,\n sum(heap_blks_read) as heap_blocks_read,\n CASE \n WHEN sum(heap_blks_hit) + sum(heap_blks_read) = 0 THEN 0\n ELSE round((sum(heap_blks_hit)::numeric / (sum(heap_blks_hit) + sum(heap_blks_read))) * 100, 2)\n END as cache_hit_ratio_percent\nFROM pg_statio_user_tables\nWHERE schemaname = 'public';\n\n\\echo ''\n\\echo '========================================'\n" }, { "path": "backend/scripts/performance/start_performance_test.sh", "content": "#!/bin/bash\n\n# 性能测试快速启动脚本\n# 用法：./start_performance_test.sh\n\nset -e\n\nSCRIPT_DIR=\"$( cd \"$( dirname \"${BASH_SOURCE[0]}\" )\" && pwd )\"\nPROJECT_DIR=\"$(dirname \"$(dirname \"$SCRIPT_DIR\")\")\"\n\necho \"========================================\"\necho \" PostgreSQL 性能测试工具\"\necho \"========================================\"\necho \"\"\n\n# 加载 .env 文件中的数据库配置\nif [ -f \"$PROJECT_DIR/.env\" ]; then\n echo \"加载数据库配置...\"\n export PGHOST=$(grep \"^DB_HOST=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGPORT=$(grep \"^DB_PORT=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGUSER=$(grep \"^DB_USER=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGPASSWORD=$(grep \"^DB_PASSWORD=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n export PGDATABASE=$(grep \"^DB_NAME=\" \"$PROJECT_DIR/.env\" | cut -d '=' -f2)\n \n echo \" 主机: $PGHOST:$PGPORT\"\n echo \" 用户: $PGUSER\"\n echo \" 数据库: $PGDATABASE\"\nelse\n echo \"[WARN] 未找到 .env 文件\"\nfi\necho \"\"\n\n# 检查 PostgreSQL 连接\necho \"检查数据库连接...\"\ncd \"$PROJECT_DIR\"\nif ! source \"$PROJECT_DIR/../.venv/bin/activate\" && python -c \"\nimport os\nimport django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\ndjango.setup()\nfrom django.db import connection\ntry:\n with connection.cursor() as cursor:\n cursor.execute('SELECT 1')\n print('✓ 数据库连接正常')\nexcept Exception as e:\n print(f'[ERROR] 数据库连接失败: {e}')\n exit(1)\n\" > /dev/null 2>&1; then\n echo \"[ERROR] 无法连接到数据库 $PGDATABASE\"\n echo \"\"\n echo \"请检查：\"\n echo \" 1. VPS 防火墙是否开放 5432 端口\"\n echo \" 2. PostgreSQL 的 pg_hba.conf 是否允许远程连接\"\n echo \" 3. .env 文件中的数据库配置是否正确\"\n echo \" 4. Django 设置是否正确\"\n echo \"\"\n echo \"手动测试连接：\"\n echo \" cd $PROJECT_DIR && source $PROJECT_DIR/../.venv/bin/activate && python manage.py dbshell\"\n exit 1\nfi\necho \"✓ 数据库连接正常\"\necho \"\"\n\n# 菜单选择\necho \"请选择操作：\"\necho \" 1) 测试批次大小（推荐先执行）\"\necho \" 2) 生成 1 万条测试数据\"\necho \" 3) 生成 10 万条测试数据\"\necho \" 4) 生成 100 万条测试数据\"\necho \" 5) 启动实时监控（独立运行）\"\necho \" 6) 查看测试前基准数据\"\necho \" 7) 查看测试后统计数据\"\necho \" 8) 完整测试流程（自动化）\"\necho \" 0) 退出\"\necho \"\"\nread -p \"请输入选项 (0-8): \" choice\n\ncase $choice in\n 1)\n echo \"\"\n echo \"开始测试批次大小...\"\n cd \"$PROJECT_DIR\"\n source \"$PROJECT_DIR/../.venv/bin/activate\"\n \n # 自动创建测试目标\n echo \"创建测试目标...\"\n python -c \"\nimport os\nimport django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\ndjango.setup()\nfrom apps.targets.models import Target, Organization\n\n# 创建默认组织\norg, _ = Organization.objects.get_or_create(\n name='测试组织',\n defaults={'description': '性能测试专用组织'}\n)\n\n# 创建测试目标\nfor i in range(1, 4):\n target_name = f'test{i}.com'\n target, created = Target.objects.get_or_create(\n name=target_name\n )\n if created:\n # 将目标添加到组织\n org.targets.add(target)\n print(f'✓ 创建目标: {target_name}')\n else:\n print(f'✓ 目标已存在: {target_name}')\n\"\n echo \"\"\n \n python manage.py generate_test_data --target test1.com --count 10000 --test-batch-sizes\n ;;\n 2)\n echo \"\"\n echo \"使用默认批次大小: 5000\"\n echo \"开始生成 1 万条数据...\"\n cd \"$PROJECT_DIR\"\n source \"$PROJECT_DIR/../.venv/bin/activate\"\n \n # 自动创建测试目标\n echo \"创建测试目标...\"\n python -c \"\nimport os\nimport django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\ndjango.setup()\nfrom apps.targets.models import Target, Organization\n\n# 创建默认组织\norg, _ = Organization.objects.get_or_create(\n name='测试组织',\n defaults={'description': '性能测试专用组织'}\n)\n\n# 创建测试目标\nfor i in range(1, 4):\n target_name = f'test{i}.com'\n target, created = Target.objects.get_or_create(\n name=target_name\n )\n if created:\n # 将目标添加到组织\n org.targets.add(target)\n print(f'✓ 创建目标: {target_name}')\n else:\n print(f'✓ 目标已存在: {target_name}')\n\"\n echo \"\"\n \n python manage.py generate_test_data \\\n --target test1.com \\\n --count 10000 \\\n --batch-size 5000 \\\n --benchmark\n ;;\n 3)\n echo \"\"\n echo \"使用默认批次大小: 5000\"\n echo \"开始生成 10 万条数据...\"\n cd \"$PROJECT_DIR\"\n source \"$PROJECT_DIR/../.venv/bin/activate\"\n \n # 自动创建测试目标\n echo \"创建测试目标...\"\n python -c \"\nimport os\nimport django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\ndjango.setup()\nfrom apps.targets.models import Target, Organization\n\n# 创建默认组织\norg, _ = Organization.objects.get_or_create(\n name='测试组织',\n defaults={'description': '性能测试专用组织'}\n)\n\n# 创建测试目标\nfor i in range(1, 4):\n target_name = f'test{i}.com'\n target, created = Target.objects.get_or_create(\n name=target_name\n )\n if created:\n # 将目标添加到组织\n org.targets.add(target)\n print(f'✓ 创建目标: {target_name}')\n else:\n print(f'✓ 目标已存在: {target_name}')\n\"\n echo \"\"\n \n python manage.py generate_test_data \\\n --target test2.com \\\n --count 100000 \\\n --batch-size 5000 \\\n --benchmark\n ;;\n 4)\n echo \"\"\n echo \"使用默认批次大小: 5000\"\n echo \"[WARN] 警告：这将生成 100 万条数据，可能需要 2-4 小时\"\n read -p \"确认继续? (y/N): \" confirm\n if [[ $confirm == [yY] ]]; then\n echo \"\"\n echo \"开始生成 100 万条数据...\"\n cd \"$PROJECT_DIR\"\n source \"$PROJECT_DIR/../.venv/bin/activate\"\n \n # 自动创建测试目标\n echo \"创建测试目标...\"\n python -c \"\nimport os\nimport django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\ndjango.setup()\nfrom apps.targets.models import Target, Organization\n\n# 创建默认组织\norg, _ = Organization.objects.get_or_create(\n name='测试组织',\n defaults={'description': '性能测试专用组织'}\n)\n\n# 创建测试目标\nfor i in range(1, 4):\n target_name = f'test{i}.com'\n target, created = Target.objects.get_or_create(\n name=target_name\n )\n if created:\n # 将目标添加到组织\n org.targets.add(target)\n print(f'✓ 创建目标: {target_name}')\n else:\n print(f'✓ 目标已存在: {target_name}')\n\"\n echo \"\"\n \n python manage.py generate_test_data \\\n --target test3.com \\\n --count 1000000 \\\n --batch-size 5000 \\\n --benchmark\n fi\n ;;\n 5)\n echo \"\"\n read -p \"刷新间隔（秒，推荐 2-5）: \" interval\n interval=${interval:-2}\n echo \"\"\n echo \"启动 PostgreSQL 实时监控...\"\n echo \"按 Ctrl+C 停止监控\"\n sleep 2\n \"$SCRIPT_DIR/monitor_pg_performance.sh\" xingrin \"$interval\"\n ;;\n 6)\n echo \"\"\n echo \"记录测试前基准数据...\"\n mkdir -p \"$PROJECT_DIR/logs\"\n psql -d \"$PGDATABASE\" -f \"$SCRIPT_DIR/pg_stats_before_test.sql\" > \"$PROJECT_DIR/logs/stats_before.txt\"\n echo \"✓ 已保存到: $PROJECT_DIR/logs/stats_before.txt\"\n echo \"\"\n read -p \"是否查看内容? (y/N): \" view\n if [[ $view == [yY] ]]; then\n less \"$PROJECT_DIR/logs/stats_before.txt\"\n fi\n ;;\n 7)\n echo \"\"\n echo \"记录测试后统计数据...\"\n mkdir -p \"$PROJECT_DIR/logs\"\n psql -d \"$PGDATABASE\" -f \"$SCRIPT_DIR/pg_stats_after_test.sql\" > \"$PROJECT_DIR/logs/stats_after.txt\"\n echo \"✓ 已保存到: $PROJECT_DIR/logs/stats_after.txt\"\n echo \"\"\n read -p \"是否对比测试前后? (y/N): \" compare\n if [[ $compare == [yY] ]] && [ -f \"$PROJECT_DIR/logs/stats_before.txt\" ]; then\n echo \"\"\n echo \"差异对比:\"\n diff \"$PROJECT_DIR/logs/stats_before.txt\" \"$PROJECT_DIR/logs/stats_after.txt\" || true\n fi\n ;;\n 8)\n echo \"\"\n echo \"========================================\"\n echo \" 完整自动化测试流程\"\n echo \"========================================\"\n echo \"\"\n echo \"步骤 1：创建测试目标\"\n cd \"$PROJECT_DIR\"\n source \"$PROJECT_DIR/../.venv/bin/activate\"\n python -c \"\nimport os\nimport django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')\ndjango.setup()\nfrom apps.targets.models import Target, Organization\n\n# 创建默认组织\norg, _ = Organization.objects.get_or_create(\n name='测试组织',\n defaults={'description': '性能测试专用组织'}\n)\n\n# 创建测试目标\nfor i in range(1, 4):\n target_name = f'test{i}.com'\n target, created = Target.objects.get_or_create(\n name=target_name\n )\n if created:\n # 将目标添加到组织\n org.targets.add(target)\n print(f'✓ 创建目标: {target_name}')\n else:\n print(f'✓ 目标已存在: {target_name}')\n\"\n echo \"✓ 完成\"\n echo \"\"\n \n echo \"步骤 2：记录测试前基准数据\"\n mkdir -p \"$PROJECT_DIR/logs\"\n psql -d \"$PGDATABASE\" -f \"$SCRIPT_DIR/pg_stats_before_test.sql\" > \"$PROJECT_DIR/logs/stats_before.txt\" 2>&1\n echo \"✓ 完成\"\n echo \"\"\n \n echo \"步骤 3：测试批次大小\"\n python manage.py generate_test_data --target test1.com --count 10000 --test-batch-sizes | tee \"$PROJECT_DIR/logs/batch_size_test.txt\"\n echo \"\"\n \n # 自动提取最优批次大小，如果没有找到则使用默认值5000\n optimal_batch=$(grep \"推荐批次大小:\" \"$PROJECT_DIR/logs/batch_size_test.txt\" | awk '{print $2}' || echo \"5000\")\n optimal_batch=${optimal_batch:-5000}\n echo \"✓ 自动选择最优批次: $optimal_batch\"\n echo \"\"\n \n echo \"步骤 4：生成 10 万条数据\"\n python manage.py generate_test_data \\\n --target test3.com \\\n --count 100000 \\\n --batch-size \"$optimal_batch\" \\\n --benchmark | tee \"$PROJECT_DIR/logs/test_results.txt\"\n echo \"\"\n \n echo \"步骤 5：记录测试后统计\"\n psql -d \"$PGDATABASE\" -f \"$SCRIPT_DIR/pg_stats_after_test.sql\" > \"$PROJECT_DIR/logs/stats_after.txt\" 2>&1\n echo \"✓ 完成\"\n echo \"\"\n \n # 生成性能报告\n echo \"步骤 6：生成性能报告\"\n report_file=\"$PROJECT_DIR/logs/performance_report.txt\"\n \n echo \"========================================\" > \"$report_file\"\n echo \" XingRin 性能测试报告\" >> \"$report_file\"\n echo \"========================================\" >> \"$report_file\"\n echo \"\" >> \"$report_file\"\n echo \"测试时间: $(date '+%Y-%m-%d %H:%M:%S')\" >> \"$report_file\"\n echo \"数据库: $PGHOST:$PGPORT/$PGDATABASE\" >> \"$report_file\"\n echo \"最优批次: $optimal_batch\" >> \"$report_file\"\n echo \"\" >> \"$report_file\"\n \n # 提取批次测试结果\n echo \"========================================\" >> \"$report_file\"\n echo \" 批次大小性能对比\" >> \"$report_file\"\n echo \"========================================\" >> \"$report_file\"\n grep -A 10 \"批次大小对比结果\" \"$PROJECT_DIR/logs/batch_size_test.txt\" | tail -n +4 >> \"$report_file\"\n echo \"\" >> \"$report_file\"\n \n # 提取详细测试结果\n echo \"========================================\" >> \"$report_file\"\n echo \" 10万条数据生成性能\" >> \"$report_file\"\n echo \"========================================\" >> \"$report_file\"\n grep \"性能测试报告\" -A 20 \"$PROJECT_DIR/logs/test_results.txt\" | tail -n +3 >> \"$report_file\"\n echo \"\" >> \"$report_file\"\n \n # 提取总耗时\n total_time=$(grep \"总耗时:\" \"$PROJECT_DIR/logs/test_results.txt\" | head -1)\n echo \"========================================\" >> \"$report_file\"\n echo \" 总体性能\" >> \"$report_file\"\n echo \"========================================\" >> \"$report_file\"\n echo \"$total_time\" >> \"$report_file\"\n echo \"\" >> \"$report_file\"\n \n echo \"========================================\" >> \"$report_file\"\n echo \" 测试文件\" >> \"$report_file\"\n echo \"========================================\" >> \"$report_file\"\n echo \"- 测试前基准: logs/stats_before.txt\" >> \"$report_file\"\n echo \"- 批次测试: logs/batch_size_test.txt\" >> \"$report_file\"\n echo \"- 性能结果: logs/test_results.txt\" >> \"$report_file\"\n echo \"- 测试后统计: logs/stats_after.txt\" >> \"$report_file\"\n echo \"- 性能报告: logs/performance_report.txt\" >> \"$report_file\"\n echo \"\" >> \"$report_file\"\n \n echo \"✓ 性能报告已生成\"\n echo \"\"\n \n echo \"========================================\"\n echo \" ✓ 自动化测试完成！\"\n echo \"========================================\"\n echo \"\"\n \n # 显示性能报告\n cat \"$report_file\"\n echo \"\"\n echo \"详细报告已保存到: $report_file\"\n echo \"\"\n ;;\n 0)\n echo \"退出\"\n exit 0\n ;;\n *)\n echo \"无效选项\"\n exit 1\n ;;\nesac\n\necho \"\"\necho \"完成！\"\n" }, { "path": "backend/scripts/worker-deploy/agent.sh", "content": "#!/bin/bash\n# ============================================\n# XingRin Agent\n# 用途：心跳上报 + 负载监控 + 版本检查\n# 适用：远程 VPS 或 Docker 容器内\n# ============================================\n\n# 检查是否禁用 Agent\nif [ \"${AGENT_DISABLED:-false}\" = \"true\" ]; then\n echo \"[AGENT] 已禁用，跳过启动\"\n exit 0\nfi\n\n# 配置\nMARKER_DIR=\"/opt/xingrin\"\nSRC_DIR=\"${MARKER_DIR}/src\"\nENV_FILE=\"${SRC_DIR}/backend/.env\"\nINTERVAL=${AGENT_INTERVAL:-3}\n\n# Agent 版本（从环境变量获取，由 Docker 镜像构建时注入）\nAGENT_VERSION=\"${IMAGE_TAG:-unknown}\"\n\n# 颜色定义\nGREEN='\\033[0;32m'\nRED='\\033[0;31m'\nYELLOW='\\033[0;33m'\nNC='\\033[0m'\n\nlog() {\n echo -e \"[$(date +'%Y-%m-%d %H:%M:%S')] [AGENT] $1\"\n}\n\n# 检测运行模式：容器内 or 远程 VPS\n# 如果 /.dockerenv 存在，说明在容器内\nif [ -f \"/.dockerenv\" ]; then\n RUN_MODE=\"container\"\n log \"运行模式: Docker 容器内\"\nelse\n RUN_MODE=\"remote\"\n log \"运行模式: 远程 VPS\"\n \n # 远程模式：检测 Docker 命令\n if docker info >/dev/null 2>&1; then\n DOCKER_CMD=\"docker\"\n else\n DOCKER_CMD=\"sudo docker\"\n fi\nfi\n\n# 加载环境变量（远程模式从文件，容器模式从环境变量）\nif [ \"$RUN_MODE\" = \"remote\" ] && [ -f \"$ENV_FILE\" ]; then\n set -a\n source \"$ENV_FILE\"\n set +a\nfi\n\n# 获取配置\n# SERVER_URL: 后端 API 地址（容器内用 http://server:8888，远程用 https://{PUBLIC_HOST}）\nAPI_URL=\"${HEARTBEAT_API_URL:-${SERVER_URL:-}}\"\nWORKER_NAME=\"${WORKER_NAME:-}\"\nIS_LOCAL=\"${IS_LOCAL:-false}\"\n\n# 容器模式默认标记为本地节点\nif [ \"$RUN_MODE\" = \"container\" ]; then\n IS_LOCAL=\"true\"\nfi\n\nlog \"${GREEN}Agent 启动...${NC}\"\nlog \"心跳间隔: ${INTERVAL}s\"\n\nif [ -z \"$API_URL\" ]; then\n log \"${RED}错误: 未配置 API 地址 (HEARTBEAT_API_URL 或 SERVER_URL)${NC}\"\n exit 1\nfi\n\nlog \"API 地址: ${API_URL}\"\n\n# ============================================\n# 自注册功能（如果 WORKER_ID 未设置）\n# ============================================\nregister_worker() {\n if [ -z \"$WORKER_NAME\" ]; then\n WORKER_NAME=\"Worker-$(hostname)\"\n fi\n \n log \"注册 Worker: ${WORKER_NAME}...\"\n \n REGISTER_DATA=$(cat </dev/null)\n \n if [ $? -eq 0 ]; then\n # 解析返回的 workerId（API 使用 camelCase）\n WORKER_ID=$(echo \"$RESPONSE\" | grep -oE '\"workerId\":\\s*[0-9]+' | grep -oE '[0-9]+')\n if [ -n \"$WORKER_ID\" ]; then\n log \"${GREEN}注册成功: ${WORKER_NAME} (ID: ${WORKER_ID})${NC}\"\n return 0\n fi\n fi\n \n log \"${RED}注册失败: ${RESPONSE}${NC}\"\n return 1\n}\n\n# 如果没有 WORKER_ID，执行自注册\nif [ -z \"$WORKER_ID\" ]; then\n # 等待 Server 就绪\n log \"等待 Server 就绪...\"\n for i in $(seq 1 30); do\n if curl -k -s -H \"X-Worker-API-Key: ${WORKER_API_KEY}\" \"${API_URL}/api/workers/config/?is_local=${IS_LOCAL}\" > /dev/null 2>&1; then\n log \"${GREEN}Server 已就绪${NC}\"\n break\n fi\n log \"Server 未就绪，等待... ($i/30)\"\n sleep 5\n done\n \n # 注册\n while ! register_worker; do\n log \"${YELLOW}注册失败，5 秒后重试...${NC}\"\n sleep 5\n done\nfi\n\nlog \"Worker ID: ${WORKER_ID}\"\n\n# ============================================\n# 心跳循环\n# Agent 独立运行，始终发送心跳\n# 主服务器根据心跳数据选择负载最低的节点分发任务\n# ============================================\nwhile true; do\n # 收集系统负载（CPU + 内存）\n # 容器内使用挂载的 /host/proc 获取宿主机数据\n if [ -d \"/host/proc\" ]; then\n PROC_DIR=\"/host/proc\"\n else\n PROC_DIR=\"/proc\"\n fi\n \n # CPU 使用率（百分比数值）\n # /proc/stat 是累计值，需要两次采样计算差值\n CPU_STAT1=$(grep 'cpu ' ${PROC_DIR}/stat | awk '{print $2,$3,$4,$5,$6,$7,$8}')\n sleep 0.5\n CPU_STAT2=$(grep 'cpu ' ${PROC_DIR}/stat | awk '{print $2,$3,$4,$5,$6,$7,$8}')\n CPU_PERCENT=$(echo \"$CPU_STAT1 $CPU_STAT2\" | awk '{\n user1=$1; nice1=$2; sys1=$3; idle1=$4; iowait1=$5; irq1=$6; softirq1=$7;\n user2=$8; nice2=$9; sys2=$10; idle2=$11; iowait2=$12; irq2=$13; softirq2=$14;\n total1=user1+nice1+sys1+idle1+iowait1+irq1+softirq1;\n total2=user2+nice2+sys2+idle2+iowait2+irq2+softirq2;\n idle_diff=idle2-idle1;\n total_diff=total2-total1;\n if(total_diff>0) printf \"%.1f\", (1-idle_diff/total_diff)*100;\n else printf \"0.0\";\n }')\n \n # 内存使用率（百分比数值）\n if [ -d \"/host/proc\" ]; then\n # 从 /host/proc/meminfo 读取\n MEM_TOTAL=$(grep 'MemTotal' ${PROC_DIR}/meminfo | awk '{print $2}')\n MEM_AVAILABLE=$(grep 'MemAvailable' ${PROC_DIR}/meminfo | awk '{print $2}')\n MEM_PERCENT=$(awk \"BEGIN {printf \\\"%.1f\\\", 100 - ($MEM_AVAILABLE / $MEM_TOTAL * 100)}\")\n else\n # 使用 free 命令\n MEM_PERCENT=$(free | grep Mem | awk '{printf \"%.1f\", $3/$2 * 100}')\n fi\n\n # 构建 JSON 数据（使用数值而非字符串，便于比较和排序）\n # 包含版本号，供 Server 端检查版本一致性\n JSON_DATA=$(cat </dev/null || echo \"000\")\n RESPONSE_BODY=$(cat \"$RESPONSE_FILE\" 2>/dev/null)\n rm -f \"$RESPONSE_FILE\"\n \n if [ \"$HTTP_CODE\" != \"200\" ] && [ \"$HTTP_CODE\" != \"201\" ]; then\n log \"${YELLOW}心跳发送失败 (HTTP $HTTP_CODE)${NC}\"\n else\n # 检查是否需要更新\n NEED_UPDATE=$(echo \"$RESPONSE_BODY\" | grep -oE '\"need_update\":\\s*(true|false)' | grep -oE '(true|false)')\n if [ \"$NEED_UPDATE\" = \"true\" ]; then\n SERVER_VERSION=$(echo \"$RESPONSE_BODY\" | grep -oE '\"server_version\":\\s*\"[^\"]+\"' | sed 's/.*\"\\([^\"]*\\)\"$/\\1/')\n log \"${YELLOW}检测到版本不匹配: Agent=$AGENT_VERSION, Server=$SERVER_VERSION${NC}\"\n log \"${GREEN}正在自动更新...${NC}\"\n \n # 执行自动更新\n if [ \"$RUN_MODE\" = \"container\" ]; then\n # 容器模式：通知外部重启（退出后由 docker-compose restart policy 重启）\n log \"容器模式：退出以触发重启更新\"\n exit 0\n else\n # 远程模式：拉取新镜像并重启 agent 容器\n log \"远程模式：更新 agent 镜像...\"\n DOCKER_USER=\"${DOCKER_USER:-yyhuni}\"\n NEW_IMAGE=\"${DOCKER_USER}/xingrin-agent:${SERVER_VERSION}\"\n \n # 拉取新镜像\n if $DOCKER_CMD pull \"$NEW_IMAGE\" 2>/dev/null; then\n log \"${GREEN}镜像拉取成功: $NEW_IMAGE${NC}\"\n \n # 停止当前容器并用新镜像重启\n CONTAINER_NAME=\"xingrin-agent\"\n $DOCKER_CMD stop \"$CONTAINER_NAME\" 2>/dev/null || true\n $DOCKER_CMD rm \"$CONTAINER_NAME\" 2>/dev/null || true\n \n # 重新启动（使用相同的环境变量）\n $DOCKER_CMD run -d \\\n --name \"$CONTAINER_NAME\" \\\n --restart unless-stopped \\\n -e HEARTBEAT_API_URL=\"$API_URL\" \\\n -e WORKER_ID=\"$WORKER_ID\" \\\n -e IMAGE_TAG=\"$SERVER_VERSION\" \\\n -v /proc:/host/proc:ro \\\n \"$NEW_IMAGE\"\n \n log \"${GREEN}Agent 已更新到 $SERVER_VERSION${NC}\"\n exit 0\n else\n log \"${RED}镜像拉取失败: $NEW_IMAGE${NC}\"\n fi\n fi\n fi\n fi\n\n # 休眠\n sleep $INTERVAL\ndone\n" }, { "path": "backend/scripts/worker-deploy/bootstrap.sh", "content": "#!/bin/bash\n# ============================================\n# XingRin 环境初始化脚本 (通用)\n# 用途：安装基础依赖（git, tmux, curl 等）\n# 支持：Ubuntu / Debian\n# 适用：主机 & Worker VPS\n# 特点：幂等执行，重复运行不会重复安装\n# ============================================\n\nset -e\n\n# 版本标记（修改此版本号会触发重新安装）\nBOOTSTRAP_VERSION=\"v1\"\nMARKER_DIR=\"/opt/xingrin\"\nMARKER_FILE=\"${MARKER_DIR}/.bootstrap_done_${BOOTSTRAP_VERSION}\"\n\n# 颜色定义\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[0;33m'\nBLUE='\\033[0;34m'\nNC='\\033[0m'\n\nlog_info() {\n echo -e \"${BLUE}[XingRin]${NC} $1\"\n}\n\nlog_success() {\n echo -e \"${GREEN}[XingRin]${NC} $1\"\n}\n\nlog_warn() {\n echo -e \"${YELLOW}[XingRin]${NC} $1\"\n}\n\nlog_error() {\n echo -e \"${RED}[XingRin]${NC} $1\"\n}\n\n# 等待 apt 锁释放（最多等待 60 秒）\nwait_for_apt_lock() {\n local max_wait=60\n local waited=0\n while sudo fuser /var/lib/apt/lists/lock >/dev/null 2>&1 || \\\n sudo fuser /var/lib/dpkg/lock >/dev/null 2>&1 || \\\n sudo fuser /var/lib/dpkg/lock-frontend >/dev/null 2>&1; do\n if [ $waited -eq 0 ]; then\n log_info \"等待 apt 锁释放...\"\n fi\n sleep 2\n waited=$((waited + 2))\n if [ $waited -ge $max_wait ]; then\n log_warn \"等待 apt 锁超时，继续尝试...\"\n break\n fi\n done\n}\n\n# 检查是否已完成初始化（返回 0 表示已完成，返回 1 表示需要初始化）\ncheck_already_done() {\n if [ -f \"$MARKER_FILE\" ]; then\n log_success \"环境已初始化 (${BOOTSTRAP_VERSION})，跳过\"\n return 0 # 不要 exit，让后续脚本继续执行\n fi\n return 1\n}\n\n# 检查操作系统\ncheck_os() {\n if ! command -v apt-get &> /dev/null; then\n log_error \"仅支持 Ubuntu/Debian 系统\"\n exit 1\n fi\n log_info \"检测到 Ubuntu/Debian 系统\"\n}\n\n# 安装基础依赖\ninstall_dependencies() {\n log_info \"安装基础依赖...\"\n \n # 等待 apt 锁释放\n wait_for_apt_lock\n \n # 更新包索引\n sudo apt-get update -qq 2>/dev/null || true\n \n # 安装 git（必须）\n if ! command -v git &> /dev/null; then\n log_info \" - 安装 git...\"\n sudo apt-get install -y -qq git >/dev/null 2>&1\n else\n log_info \" - git 已安装\"\n fi\n \n # 安装 tmux（会话持久化）\n if ! command -v tmux &> /dev/null; then\n log_info \" - 安装 tmux...\"\n sudo apt-get install -y -qq tmux >/dev/null 2>&1\n else\n log_info \" - tmux 已安装\"\n fi\n \n # 安装 curl（网络请求）\n if ! command -v curl &> /dev/null; then\n log_info \" - 安装 curl...\"\n sudo apt-get install -y -qq curl >/dev/null 2>&1\n else\n log_info \" - curl 已安装\"\n fi\n \n # 安装 jq（JSON 处理，可选）\n if ! command -v jq &> /dev/null; then\n log_info \" - 安装 jq...\"\n sudo apt-get install -y -qq jq >/dev/null 2>&1\n else\n log_info \" - jq 已安装\"\n fi\n}\n\n# 创建工作目录\ncreate_directories() {\n log_info \"创建工作目录...\"\n sudo mkdir -p \"$MARKER_DIR\"\n sudo mkdir -p \"${MARKER_DIR}/logs\"\n sudo mkdir -p \"${MARKER_DIR}/data\"\n sudo chmod 755 \"$MARKER_DIR\"\n sudo chown -R $USER:$USER \"$MARKER_DIR\"\n}\n\n# 写入完成标记\nwrite_marker() {\n echo \"Bootstrap completed at $(date)\" | sudo tee \"$MARKER_FILE\" > /dev/null\n log_success \"环境初始化完成\"\n}\n\n# 主流程\nmain() {\n log_info \"==========================================\"\n log_info \" XingRin 环境初始化\"\n log_info \"==========================================\"\n \n # 检查是否已初始化，如果已初始化则跳过初始化步骤（但不退出，让后续部署脚本继续执行）\n if check_already_done; then\n return 0 # 跳过初始化，继续执行后续脚本（Docker 部署、启动容器等）\n fi\n \n check_os\n create_directories\n install_dependencies\n write_marker\n \n log_info \"==========================================\"\n log_success \" ✓ 初始化完成\"\n log_info \"==========================================\"\n}\n\nmain \"$@\"\n" }, { "path": "backend/scripts/worker-deploy/install.sh", "content": "#!/bin/bash\n# ============================================\n# XingRin 远程节点安装脚本\n# 用途：安装 Docker 环境 + 预拉取镜像\n# 支持：Ubuntu / Debian / Kali\n# \n# 架构说明：\n# 1. 安装 Docker 环境\n# 2. 预拉取 worker 镜像（避免任务执行时网络延迟）\n# 3. agent 通过 start-agent.sh 启动（心跳上报）\n# 4. 扫描任务由主服务器通过 SSH 执行 docker run\n# \n# 镜像版本管理：\n# - IMAGE_TAG 由主服务器传入，确保版本一致性\n# - 预拉取后，任务执行时使用 --pull=missing 直接用本地镜像\n# ============================================\n\nset -e\n\nMARKER_DIR=\"/opt/xingrin\"\nDOCKER_MARKER=\"${MARKER_DIR}/.docker_installed\"\n\n# 颜色定义\nGREEN='\\033[0;32m'\nYELLOW='\\033[0;33m'\nBLUE='\\033[0;34m'\nRED='\\033[0;31m'\nNC='\\033[0m'\n\n# 渐变色定义\nCYAN='\\033[0;36m'\nMAGENTA='\\033[0;35m'\nBOLD='\\033[1m'\nDIM='\\033[2m'\n\nlog_info() { echo -e \"${CYAN} ▸${NC} $1\"; }\nlog_success() { echo -e \"${GREEN} ✔${NC} $1\"; }\nlog_warn() { echo -e \"${YELLOW} ⚠${NC} $1\"; }\nlog_error() { echo -e \"${RED} ✖${NC} $1\"; }\n\n# 炫酷 Banner\nshow_banner() {\n echo -e \"\"\n echo -e \"${CYAN}${BOLD} ██╗ ██╗██╗███╗ ██╗ ██████╗ ██████╗ ██╗███╗ ██╗${NC}\"\n echo -e \"${CYAN} ╚██╗██╔╝██║████╗ ██║██╔════╝ ██╔══██╗██║████╗ ██║${NC}\"\n echo -e \"${BLUE}${BOLD} ╚███╔╝ ██║██╔██╗ ██║██║ ███╗██████╔╝██║██╔██╗ ██║${NC}\"\n echo -e \"${BLUE} ██╔██╗ ██║██║╚██╗██║██║ ██║██╔══██╗██║██║╚██╗██║${NC}\"\n echo -e \"${MAGENTA}${BOLD} ██╔╝ ██╗██║██║ ╚████║╚██████╔╝██║ ██║██║██║ ╚████║${NC}\"\n echo -e \"${MAGENTA} ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝ ╚═════╝ ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝${NC}\"\n echo -e \"\"\n echo -e \"${DIM} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n echo -e \"${BOLD} 🚀 分布式安全扫描平台 │ Worker 节点部署${NC}\"\n echo -e \"${DIM} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n echo -e \"\"\n}\n\n# 完成 Banner\nshow_complete() {\n echo -e \"\"\n echo -e \"${GREEN}${BOLD} ╔═══════════════════════════════════════════════════╗${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ██████╗ ██████╗ ███╗ ██╗███████╗██╗ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ██╔══██╗██╔═══██╗████╗ ██║██╔════╝██║ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ██║ ██║██║ ██║██╔██╗ ██║█████╗ ██║ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ██║ ██║██║ ██║██║╚██╗██║██╔══╝ ╚═╝ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ██████╔╝╚██████╔╝██║ ╚████║███████╗██╗ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ╚═════╝ ╚═════╝ ╚═╝ ╚═══╝╚══════╝╚═╝ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ✨ XingRin Worker 节点部署完成！ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ║ ║${NC}\"\n echo -e \"${GREEN}${BOLD} ╚═══════════════════════════════════════════════════╝${NC}\"\n echo -e \"\"\n}\n\n# 等待 apt 锁释放\nwait_for_apt_lock() {\n local max_wait=60\n local waited=0\n while sudo fuser /var/lib/apt/lists/lock >/dev/null 2>&1 || \\\n sudo fuser /var/lib/dpkg/lock >/dev/null 2>&1 || \\\n sudo fuser /var/lib/dpkg/lock-frontend >/dev/null 2>&1; do\n if [ $waited -eq 0 ]; then\n log_info \"等待 apt 锁释放...\"\n fi\n sleep 2\n waited=$((waited + 2))\n if [ $waited -ge $max_wait ]; then\n log_warn \"等待 apt 锁超时，继续尝试...\"\n break\n fi\n done\n}\n\n# 检测操作系统\ndetect_os() {\n if [ -f /etc/os-release ]; then\n . /etc/os-release\n OS=$ID\n else\n log_error \"无法检测操作系统\"\n exit 1\n fi\n \n if [[ \"$OS\" != \"ubuntu\" && \"$OS\" != \"debian\" && \"$OS\" != \"kali\" ]]; then\n log_error \"仅支持 Ubuntu/Debian/Kali 系统\"\n exit 1\n fi\n}\n\n# 安装 Docker\ninstall_docker() {\n if command -v docker &> /dev/null; then\n log_info \"Docker 已安装: $(docker --version)\"\n return 0\n fi\n \n log_info \"安装 Docker...\"\n \n wait_for_apt_lock\n \n # 安装依赖\n sudo apt-get update -qq\n sudo apt-get install -y -qq ca-certificates curl gnupg lsb-release >/dev/null 2>&1\n \n # 添加 Docker GPG key\n sudo mkdir -p /etc/apt/keyrings\n curl -fsSL https://download.docker.com/linux/${OS}/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg 2>/dev/null\n \n # 添加 Docker 源\n echo \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/${OS} $(lsb_release -cs) stable\" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n \n # 安装 Docker\n sudo apt-get update -qq\n sudo apt-get install -y -qq docker-ce docker-ce-cli containerd.io docker-compose-plugin >/dev/null 2>&1\n \n # 启动 Docker\n sudo systemctl enable docker >/dev/null 2>&1 || true\n sudo systemctl start docker >/dev/null 2>&1 || true\n \n # 添加当前用户到 docker 组\n sudo usermod -aG docker $USER 2>/dev/null || true\n \n log_success \"Docker 安装完成\"\n}\n\n# 创建数据目录\ncreate_dirs() {\n log_info \"创建数据目录...\"\n sudo mkdir -p \"${MARKER_DIR}/results\"\n sudo mkdir -p \"${MARKER_DIR}/logs\"\n sudo mkdir -p \"${MARKER_DIR}/fingerprints\"\n sudo mkdir -p \"${MARKER_DIR}/wordlists\"\n sudo chmod -R 777 \"${MARKER_DIR}\"\n log_success \"数据目录已创建\"\n}\n\n# 清理旧容器\ncleanup_old_containers() {\n log_info \"清理旧容器...\"\n \n # 停止并删除旧的 agent 容器\n docker stop xingrin-agent 2>/dev/null || true\n docker rm xingrin-agent 2>/dev/null || true\n \n # 兼容旧名称\n docker stop xingrin-watchdog 2>/dev/null || true\n docker rm xingrin-watchdog 2>/dev/null || true\n \n log_success \"旧容器已清理\"\n}\n\n# 拉取 Worker 镜像（预先拉取，避免任务执行时网络延迟）\n# \n# 镜像拉取策略：\n# 1. 安装时预先拉取 worker 镜像到本地\n# 2. 后续任务执行时使用 --pull=missing，直接用本地镜像\n# 3. 版本由主服务器的 IMAGE_TAG 决定，确保版本一致性\npull_image() {\n log_info \"拉取 Worker 镜像...\"\n # 镜像版本由部署时传入（deploy_service.py 注入 IMAGE_TAG 环境变量）\n if [ -z \"$IMAGE_TAG\" ]; then\n log_error \"IMAGE_TAG 未设置，请确保部署时传入版本号\"\n exit 1\n fi\n local docker_user=\"${DOCKER_USER:-yyhuni}\"\n # 拉取指定版本的 worker 镜像（用于执行扫描任务）\n sudo docker pull \"${docker_user}/xingrin-worker:${IMAGE_TAG}\"\n log_success \"镜像拉取完成: ${docker_user}/xingrin-worker:${IMAGE_TAG}\"\n}\n\n# 主流程\nmain() {\n show_banner\n \n detect_os\n install_docker\n cleanup_old_containers\n create_dirs\n pull_image\n \n touch \"$DOCKER_MARKER\"\n \n show_complete\n}\n\nmain \"$@\"\n" }, { "path": "backend/scripts/worker-deploy/start-agent.sh", "content": "#!/bin/bash\n# ============================================\n# XingRin Agent 启动脚本\n# 用途：启动 agent 容器（心跳上报 + 负载监控）\n# \n# 架构说明：\n# - 使用 docker run 直接启动 agent 容器\n# - agent 负责心跳上报和系统负载监控\n# - 扫描任务由主服务器通过 SSH 执行独立的 worker 容器\n# - 镜像版本由主服务器传入，确保版本一致性\n# \n# 镜像拉取：\n# - 使用 --pull=missing，优先使用本地镜像\n# - 如果本地没有则从 Docker Hub 拉取\n# ============================================\n\nset -e\n\nMARKER_DIR=\"/opt/xingrin\"\nCONTAINER_NAME=\"xingrin-agent\"\n# 使用轻量 agent 镜像（~30MB），仅包含心跳上报功能\n# 镜像版本由部署时传入（必须设置）\nDOCKER_USER=\"${DOCKER_USER:-yyhuni}\"\nif [ -z \"$IMAGE_TAG\" ]; then\n echo \"[ERROR] IMAGE_TAG 未设置，请确保部署时传入版本号\"\n exit 1\nfi\nIMAGE=\"${DOCKER_USER}/xingrin-agent:${IMAGE_TAG}\"\n\n# 预设变量（远程部署时由 deploy_service.py 替换）\nPRESET_SERVER_URL=\"{{HEARTBEAT_API_URL}}\"\nPRESET_WORKER_ID=\"{{WORKER_ID}}\"\nPRESET_API_KEY=\"{{WORKER_API_KEY}}\"\n\n# 颜色定义\nGREEN='\\033[0;32m'\nBLUE='\\033[0;34m'\nNC='\\033[0m'\n\nlog_info() { echo -e \"${BLUE}[XingRin]${NC} $1\"; }\nlog_success() { echo -e \"${GREEN}[XingRin]${NC} $1\"; }\n\n# 停止旧容器\nstop_old() {\n if docker ps -a --format '{{.Names}}' | grep -q \"^${CONTAINER_NAME}$\"; then\n log_info \"停止旧的 agent 容器...\"\n docker stop ${CONTAINER_NAME} 2>/dev/null || true\n docker rm ${CONTAINER_NAME} 2>/dev/null || true\n fi\n # 兼容旧名称\n if docker ps -a --format '{{.Names}}' | grep -q \"^xingrin-watchdog$\"; then\n docker stop xingrin-watchdog 2>/dev/null || true\n docker rm xingrin-watchdog 2>/dev/null || true\n fi\n}\n\n# 启动 agent\nstart_agent() {\n log_info \"==========================================\"\n log_info \" XingRin Agent 启动\"\n log_info \"==========================================\"\n \n log_info \"启动 agent 容器...\"\n # --pull=missing: 本地没有镜像时才拉取\n # 版本更新由服务端通过 SSH 显式 docker pull 触发\n docker run -d --pull=missing \\\n --name ${CONTAINER_NAME} \\\n --restart always \\\n -e SERVER_URL=\"${PRESET_SERVER_URL}\" \\\n -e WORKER_ID=\"${PRESET_WORKER_ID}\" \\\n -e IMAGE_TAG=\"${IMAGE_TAG}\" \\\n -e WORKER_API_KEY=\"${PRESET_API_KEY}\" \\\n -v /proc:/host/proc:ro \\\n ${IMAGE}\n \n log_success \"Agent 已启动\"\n}\n\n# 显示完成信息\nshow_completion() {\n echo \"\"\n log_success \"==========================================\"\n log_success \" ✓ Agent 已启动\"\n log_success \"==========================================\"\n echo \"\"\n log_info \"管理命令：\"\n echo \" - 查看日志: docker logs -f ${CONTAINER_NAME}\"\n echo \" - 重启: docker restart ${CONTAINER_NAME}\"\n echo \" - 停止: docker stop ${CONTAINER_NAME}\"\n echo \"\"\n}\n\n# 主流程\nmain() {\n stop_old\n start_agent\n show_completion\n}\n\nmain \"$@\"\n" }, { "path": "backend/scripts/worker-deploy/uninstall.sh", "content": "#!/bin/bash\n# ============================================\n# XingRin 远程节点卸载脚本\n# 用途：停止 agent 容器并清理环境\n# 支持：Ubuntu / Debian\n# ============================================\n\nset -e\n\nMARKER_DIR=\"/opt/xingrin\"\n\nGREEN='\\033[0;32m'\nBLUE='\\033[0;34m'\nNC='\\033[0m'\n\nlog_info() { echo -e \"${BLUE}[XingRin]${NC} $1\"; }\nlog_success() { echo -e \"${GREEN}[XingRin]${NC} $1\"; }\n\n# 停止 agent 容器\nstop_agent() {\n log_info \"停止 agent 容器...\"\n \n # 停止新名称容器\n docker stop xingrin-agent 2>/dev/null || true\n docker rm xingrin-agent 2>/dev/null || true\n \n # 兼容旧名称\n docker stop xingrin-watchdog 2>/dev/null || true\n docker rm xingrin-watchdog 2>/dev/null || true\n \n log_success \"Agent 已停止\"\n}\n\n# 清理数据目录\ncleanup_data() {\n log_info \"清理数据目录...\"\n \n if [ -d \"${MARKER_DIR}\" ]; then\n sudo rm -rf \"${MARKER_DIR}\"\n log_success \"数据目录已清理\"\n fi\n}\n\n# 显示完成信息\nshow_completion() {\n echo \"\"\n log_success \"==========================================\"\n log_success \" ✓ 卸载完成\"\n log_success \"==========================================\"\n echo \"\"\n log_info \"注意：Docker 未卸载，如需卸载请手动执行\"\n}\n\n# 主流程\nmain() {\n log_info \"==========================================\"\n log_info \" XingRin 节点卸载\"\n log_info \"==========================================\"\n \n stop_agent\n cleanup_data\n show_completion\n}\n\nmain \"$@\"\n" }, { "path": "backend/wordlist/dir_default.txt", "content": "/api/admin/v1/users/all\r\n/registerSuccess.do\r\n/getALLUsers\r\n/swagger/static/index.html\r\n/swagger-ui/index.html\r\n/dubbo-provider/distv2/index.html\r\n/user/swagger-ui.html\r\n/swagger-dubbo/api-docs\r\n/distv2/index.html\r\n/static/swagger.json\r\n/api/index.html\r\n/v2/swagger.json\r\n/actuator/hystrix.stream\r\n/intergrationgraph\r\n/druid\r\n/swagger-ui/html\r\n/api/v2/api-docs\r\n/swagger/codes\r\n/template/swagger-ui.html\r\n/spring-security-rest/api/swagger-ui.html\r\n/spring-security-oauth-resource/swagger-ui.html\r\n/v2/api-docs\r\n/api.html\r\n/sw/swagger-ui.html\r\n/~www\r\n/~xfs\r\n/~uucp\r\n/~user5\r\n/~web\r\n/~user4\r\n/~user3\r\n/~user\r\n/~user1\r\n/~toor\r\n/~user2\r\n/~sync\r\n/~system\r\n/~testuser\r\n/~test\r\n/~shutdown\r\n/~sql\r\n/~root\r\n/~staff\r\n/~rpc\r\n/~reception\r\n/~rpcuser\r\n/~operator\r\n/~office\r\n/~nscd\r\n/~postmaster\r\n/~pop\r\n/~nobody\r\n/~news\r\n/~mailnull\r\n/~mail\r\n/~lp\r\n/~ident\r\n/~http\r\n/~helpdesk\r\n/~help\r\n/~halt\r\n/~gdm\r\n/~gopher\r\n/~guest\r\n/~games\r\n/~fwuser\r\n/~fwadmin\r\n/~firewall\r\n/~fw\r\n/~db\r\n/~database\r\n/~backup\r\n/~ftp\r\n/~data\r\n/~daemon\r\n/~bin\r\n/~apache\r\n/~admin/\r\n/~/\r\n/~anonymous\r\n/~administrator\r\n/zipkin/\r\n/~admin\r\n/~adm\r\n/zimbra\r\n/zf_backend.php\r\n/zone-h.php\r\n/zimbra/\r\n/yonetim.php\r\n/zeroclipboard.swf\r\n/zebra.conf\r\n/zehir.php\r\n/zabbix/\r\n/yum.log\r\n/yonetim.html\r\n/yonetici\r\n/ylwrap\r\n/yonetici.html\r\n/yonetici.php\r\n/yonetim\r\n/yarn.lock\r\n/yarn-error.log\r\n/yarn-debug.log\r\n/yaml_cron.log\r\n/xw.php\r\n/xx.php\r\n/yaml.log\r\n/xw1.php\r\n/xsql/lib/XSQLConfig.xml\r\n/xslt/\r\n/xsl/common.xsl\r\n/xsl/\r\n/xsl/_common.xsl\r\n/xsql/\r\n/xshell.php\r\n/xmlrpc.php\r\n/xphpMyAdmin/\r\n/xprober.php\r\n/xmlrpc_server.php\r\n/xphperrors.log\r\n/xmlrpc\r\n/xml/_common.xml\r\n/xml/common.xml\r\n/xml/\r\n/xls/\r\n/xml\r\n/xcuserdata/\r\n/xlogin/\r\n/xiaoma.php\r\n/xferlog\r\n/xd.php\r\n/xampp/phpmyadmin/scripts/setup.php\r\n/xampp/phpmyadmin/index.php\r\n/xampp/phpmyadmin/\r\n/xampp/\r\n/x.php\r\n/wwwstats.htm\r\n/wwwstat\r\n/wwwroot.zip\r\n/wwwroot.tgz\r\n/wwwroot.tar.bz2\r\n/wwwroot.tar.gz\r\n/wwwlog\r\n/wwwroot.tar\r\n/wwwroot.7z\r\n/wwwroot.sql\r\n/wwwroot.rar\r\n/wwwboard/passwd.txt\r\n/wwwboard/\r\n/www.zip\r\n/www/phpMyAdmin/index.php\r\n/www-error.log\r\n/www.tgz\r\n/www.tar.bz2\r\n/www-test/\r\n/www.tar\r\n/www.rar\r\n/www.tar.gz" }, { "path": "backend/wordlist/subdomains-top1million-110000.txt", "content": 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}, { "path": "docker/agent/Dockerfile", "content": "# ============================================\n# XingRin Agent - 轻量心跳上报镜像\n# 用途：心跳上报 + 负载监控 + 版本检查\n# 基础镜像：Alpine Linux (~5MB)\n# 最终大小：~10MB\n# ============================================\n\nFROM alpine:3.19\n\n# 构建参数：版本号\nARG IMAGE_TAG=unknown\n\n# 安装必要工具\nRUN apk add --no-cache \\\n bash \\\n curl \\\n procps\n\n# 复制 agent 脚本\nCOPY backend/scripts/worker-deploy/agent.sh /app/agent.sh\nRUN chmod +x /app/agent.sh\n\n# 将版本号写入环境变量（运行时可用）\nENV IMAGE_TAG=${IMAGE_TAG}\n\n# 工作目录\nWORKDIR /app\n\n# 默认命令\nCMD [\"bash\", \"/app/agent.sh\"]\n" }, { "path": "docker/docker-compose.dev.yml", "content": "services:\n # PostgreSQL（可选，使用远程数据库时不启动）\n # 本地模式: docker compose --profile local-db up -d\n # 远程模式: docker compose up -d（需配置 DB_HOST 为远程地址）\n # 使用自定义镜像，预装 pg_ivm 扩展\n postgres:\n profiles: [\"local-db\"]\n build:\n context: ./postgres\n dockerfile: Dockerfile\n image: ${DOCKER_USER:-yyhuni}/xingrin-postgres:${IMAGE_TAG:-dev}\n restart: always\n environment:\n POSTGRES_DB: ${DB_NAME}\n POSTGRES_USER: ${DB_USER}\n POSTGRES_PASSWORD: ${DB_PASSWORD}\n volumes:\n - postgres_data:/var/lib/postgresql/data\n - ./postgres/init-user-db.sh:/docker-entrypoint-initdb.d/init-user-db.sh\n ports:\n - \"${DB_PORT}:5432\"\n command: >\n postgres\n -c shared_preload_libraries=pg_ivm\n healthcheck:\n test: [\"CMD-SHELL\", \"pg_isready -U ${DB_USER}\"]\n interval: 5s\n timeout: 5s\n retries: 5\n\n redis:\n image: redis:7-alpine\n restart: always\n healthcheck:\n test: [\"CMD\", \"redis-cli\", \"ping\"]\n interval: 5s\n timeout: 5s\n retries: 5\n\n server:\n build:\n context: ..\n dockerfile: docker/server/Dockerfile\n restart: always\n env_file:\n - .env\n environment:\n - IMAGE_TAG=${IMAGE_TAG:-dev}\n ports:\n - \"8888:8888\"\n depends_on:\n redis:\n condition: service_healthy\n volumes:\n # 统一挂载数据目录\n - /opt/xingrin:/opt/xingrin\n - /var/run/docker.sock:/var/run/docker.sock\n # OOM 优先级：-500 保护核心服务\n oom_score_adj: -500\n healthcheck:\n # 使用专门的健康检查端点（无需认证）\n test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8888/api/health/\"]\n interval: 30s\n timeout: 10s\n retries: 3\n start_period: 60s\n\n # Agent：心跳上报 + 负载监控 + 版本检查\n agent:\n build:\n context: ..\n dockerfile: docker/agent/Dockerfile\n args:\n IMAGE_TAG: ${IMAGE_TAG:-dev}\n restart: always\n environment:\n - SERVER_URL=http://server:8888\n - WORKER_NAME=Local-Worker\n - IS_LOCAL=true\n - IMAGE_TAG=${IMAGE_TAG:-dev}\n - WORKER_API_KEY=${WORKER_API_KEY}\n depends_on:\n server:\n condition: service_healthy\n volumes:\n - /proc:/host/proc:ro\n\n frontend:\n build:\n context: ..\n dockerfile: docker/frontend/Dockerfile\n args:\n IMAGE_TAG: ${IMAGE_TAG:-dev}\n restart: always\n # OOM 优先级：-500 保护 Web 界面\n oom_score_adj: -500\n depends_on:\n server:\n condition: service_healthy\n\n nginx:\n build:\n context: ..\n dockerfile: docker/nginx/Dockerfile\n restart: always\n # OOM 优先级：-500 保护入口网关\n oom_score_adj: -500\n depends_on:\n server:\n condition: service_healthy\n frontend:\n condition: service_started\n ports:\n - \"8083:8083\"\n volumes:\n # SSL 证书挂载（方便更新）\n - ./nginx/ssl:/etc/nginx/ssl:ro\n\n # Worker：扫描任务执行容器（开发模式下构建）\n worker:\n build:\n context: ..\n dockerfile: docker/worker/Dockerfile\n image: docker-worker:${IMAGE_TAG:-latest}-dev\n restart: \"no\"\n volumes:\n - /opt/xingrin:/opt/xingrin\n command: echo \"Worker image built for development\"\n\nvolumes:\n postgres_data:\n\nnetworks:\n default:\n name: xingrin_network # 固定网络名，不随目录名变化\n" }, { "path": "docker/docker-compose.yml", "content": "# ============================================\n# 生产环境配置 - 使用 Docker Hub 预构建镜像\n# ============================================\n# 用法: docker compose up -d\n# \n# 开发环境请使用: docker compose -f docker-compose.dev.yml up -d\n# ============================================\n\nservices:\n # PostgreSQL（可选，使用远程数据库时不启动）\n # 使用自定义镜像，预装 pg_ivm 扩展\n postgres:\n profiles: [\"local-db\"]\n build:\n context: ./postgres\n dockerfile: Dockerfile\n image: ${DOCKER_USER:-yyhuni}/xingrin-postgres:${IMAGE_TAG:?IMAGE_TAG is required}\n restart: always\n environment:\n POSTGRES_DB: ${DB_NAME}\n POSTGRES_USER: ${DB_USER}\n POSTGRES_PASSWORD: ${DB_PASSWORD}\n volumes:\n - postgres_data:/var/lib/postgresql/data\n - ./postgres/init-user-db.sh:/docker-entrypoint-initdb.d/init-user-db.sh\n ports:\n - \"${DB_PORT}:5432\"\n command: >\n postgres\n -c shared_preload_libraries=pg_ivm\n healthcheck:\n test: [\"CMD-SHELL\", \"pg_isready -U ${DB_USER}\"]\n interval: 5s\n timeout: 5s\n retries: 5\n\n redis:\n image: redis:7-alpine\n restart: always\n healthcheck:\n test: [\"CMD\", \"redis-cli\", \"ping\"]\n interval: 5s\n timeout: 5s\n retries: 5\n\n server:\n image: ${DOCKER_USER:-yyhuni}/xingrin-server:${IMAGE_TAG:?IMAGE_TAG is required}\n restart: always\n env_file:\n - .env\n environment:\n - IMAGE_TAG=${IMAGE_TAG}\n depends_on:\n redis:\n condition: service_healthy\n volumes:\n # 统一挂载数据目录\n - /opt/xingrin:/opt/xingrin\n # Docker Socket 挂载：允许 Django 服务器执行本地 docker 命令（用于本地 Worker 任务分发）\n - /var/run/docker.sock:/var/run/docker.sock\n # OOM 优先级：-500 降低被 OOM Killer 选中的概率，保护核心服务\n oom_score_adj: -500\n healthcheck:\n # 使用专门的健康检查端点（无需认证）\n test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8888/api/health/\"]\n interval: 30s\n timeout: 10s\n retries: 3\n start_period: 60s\n\n # ============================================\n # Agent：轻量心跳上报 + 负载监控（~10MB）\n # 扫描任务通过 task_distributor 分发到动态容器\n # ============================================\n \n agent:\n image: ${DOCKER_USER:-yyhuni}/xingrin-agent:${IMAGE_TAG:?IMAGE_TAG is required}\n container_name: xingrin-agent\n restart: always\n environment:\n - SERVER_URL=http://server:8888\n - WORKER_NAME=Local-Worker\n - IS_LOCAL=true\n - IMAGE_TAG=${IMAGE_TAG}\n - WORKER_API_KEY=${WORKER_API_KEY}\n depends_on:\n server:\n condition: service_healthy\n volumes:\n - /proc:/host/proc:ro\n\n frontend:\n image: ${DOCKER_USER:-yyhuni}/xingrin-frontend:${IMAGE_TAG:?IMAGE_TAG is required}\n restart: always\n # OOM 优先级：-500 保护 Web 界面\n oom_score_adj: -500\n depends_on:\n server:\n condition: service_healthy\n\n nginx:\n image: ${DOCKER_USER:-yyhuni}/xingrin-nginx:${IMAGE_TAG:?IMAGE_TAG is required}\n restart: always\n # OOM 优先级：-500 保护入口网关\n oom_score_adj: -500\n depends_on:\n server:\n condition: service_healthy\n frontend:\n condition: service_started\n ports:\n - \"8083:8083\"\n volumes:\n - ./nginx/ssl:/etc/nginx/ssl:ro\n\nvolumes:\n postgres_data:\n\nnetworks:\n default:\n name: xingrin_network # 固定网络名，不随目录名变化\n" }, { "path": "docker/frontend/Dockerfile", "content": "# 前端 Next.js Dockerfile\n# 使用多阶段构建 + BuildKit 缓存优化\n\n# ==================== 依赖安装阶段 ====================\nFROM node:20-alpine AS deps\nWORKDIR /app\n\n# 安装 pnpm\nRUN corepack enable && corepack prepare pnpm@latest --activate\n\n# 复制依赖文件\nCOPY frontend/package.json frontend/pnpm-lock.yaml ./\n\n# 安装依赖（使用 BuildKit 缓存加速）\nRUN --mount=type=cache,target=/root/.local/share/pnpm/store \\\n pnpm install --frozen-lockfile\n\n# ==================== 构建阶段 ====================\nFROM node:20-alpine AS builder\nWORKDIR /app\n\nRUN corepack enable && corepack prepare pnpm@latest --activate\n\n# 复制依赖\nCOPY --from=deps /app/node_modules ./node_modules\nCOPY frontend/ ./\n\n# 设置环境变量（构建时使用）\nARG NEXT_PUBLIC_API_URL\nARG IMAGE_TAG=unknown\nENV NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL}\nENV NEXT_PUBLIC_VERSION=${IMAGE_TAG}\n# Docker 内部网络使用服务名 server 作为后端地址\nENV API_HOST=server\n\n# 构建（使用 BuildKit 缓存加速）\nRUN --mount=type=cache,target=/app/.next/cache \\\n pnpm build\n\n# ==================== 运行阶段 ====================\nFROM node:20-alpine AS runner\nWORKDIR /app\n\nENV NODE_ENV=production\n\n# 创建非 root 用户\nRUN addgroup --system --gid 1001 nodejs\nRUN adduser --system --uid 1001 nextjs\n\n# 复制构建产物\nCOPY --from=builder /app/public ./public\nCOPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./\nCOPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static\n\nUSER nextjs\n\nEXPOSE 3000\n\nENV PORT=3000\nENV HOSTNAME=\"0.0.0.0\"\n\nCMD [\"node\", \"server.js\"]\n" }, { "path": "docker/nginx/Dockerfile", "content": "FROM nginx:1.27-alpine\n\n# 复制 nginx 配置和证书\nCOPY docker/nginx/nginx.conf /etc/nginx/nginx.conf\nCOPY docker/nginx/ssl /etc/nginx/ssl\n" }, { "path": "docker/nginx/nginx.conf", "content": "worker_processes auto;\nevents { worker_connections 1024; }\n\nhttp {\n include /etc/nginx/mime.types;\n default_type application/octet-stream;\n sendfile on;\n keepalive_timeout 65;\n\n # 上游服务\n upstream backend {\n server server:8888;\n }\n\n upstream frontend {\n server frontend:3000;\n }\n\n # HTTPS 反代（将证书放在 /docker/nginx/ssl 下映射到 /etc/nginx/ssl）\n server {\n listen 8083 ssl http2;\n server_name _;\n\n ssl_certificate /etc/nginx/ssl/fullchain.pem;\n ssl_certificate_key /etc/nginx/ssl/privkey.pem;\n ssl_protocols TLSv1.2 TLSv1.3;\n ssl_ciphers HIGH:!aNULL:!MD5;\n\n client_max_body_size 50m;\n\n # HTTP 请求到 HTTPS 端口时自动跳转\n error_page 497 =301 https://$host:$server_port$request_uri;\n\n # 指纹特征 - 用于 FOFA/Shodan 等搜索引擎识别\n add_header X-Powered-By \"Xingrin ASM\" always;\n\n location /api/ {\n proxy_set_header Host $host;\n proxy_set_header X-Real-IP $remote_addr;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_read_timeout 300s; # 5分钟，支持大数据量导出\n proxy_send_timeout 300s;\n proxy_pass http://backend;\n }\n\n # WebSocket 反代\n location /ws/ {\n proxy_pass http://backend;\n proxy_http_version 1.1;\n proxy_set_header Upgrade $http_upgrade;\n proxy_set_header Connection \"upgrade\";\n proxy_set_header Host $host;\n proxy_set_header X-Real-IP $remote_addr;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_read_timeout 86400; # 24小时，防止 WebSocket 超时\n }\n\n # 前端反代\n location / {\n proxy_set_header Host $host;\n proxy_set_header X-Real-IP $remote_addr;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_set_header X-Forwarded-Proto $scheme;\n proxy_pass http://frontend;\n }\n }\n}\n" }, { "path": "docker/nginx/ssl/README.md", "content": "此处放置你的 SSL 证书文件，例如：\nfullchain.pem\nprivkey.pem\n" }, { "path": "docker/postgres/Dockerfile", "content": "FROM postgres:15\n\n# 安装编译依赖\nRUN apt-get update && apt-get install -y \\\n build-essential \\\n postgresql-server-dev-15 \\\n git \\\n && rm -rf /var/lib/apt/lists/*\n\n# 编译安装 pg_ivm\nRUN git clone https://github.com/sraoss/pg_ivm.git /tmp/pg_ivm \\\n && cd /tmp/pg_ivm \\\n && make \\\n && make install \\\n && rm -rf /tmp/pg_ivm\n\n# 配置 shared_preload_libraries\n# 注意: 这个配置会在容器启动时被应用\nRUN echo \"shared_preload_libraries = 'pg_ivm'\" >> /usr/share/postgresql/postgresql.conf.sample\n" }, { "path": "docker/postgres/init-user-db.sh", "content": "#!/bin/bash\nset -e\n\n# 创建应用数据库（生产 + 开发）\n# 使用条件创建避免与 POSTGRES_DB 自动创建的数据库冲突\npsql -v ON_ERROR_STOP=1 --username \"$POSTGRES_USER\" --dbname \"postgres\" <<-EOSQL\n\tSELECT 'CREATE DATABASE xingrin' WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = 'xingrin')\\gexec\n\tSELECT 'CREATE DATABASE xingrin_dev' WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = 'xingrin_dev')\\gexec\n\tGRANT ALL PRIVILEGES ON DATABASE xingrin TO \"$POSTGRES_USER\";\n\tGRANT ALL PRIVILEGES ON DATABASE xingrin_dev TO \"$POSTGRES_USER\";\nEOSQL\n\n# 启用 pg_trgm 扩展（用于文本模糊搜索索引）\npsql -v ON_ERROR_STOP=1 --username \"$POSTGRES_USER\" --dbname \"xingrin\" <<-EOSQL\n\tCREATE EXTENSION IF NOT EXISTS pg_trgm;\nEOSQL\n\npsql -v ON_ERROR_STOP=1 --username \"$POSTGRES_USER\" --dbname \"xingrin_dev\" <<-EOSQL\n\tCREATE EXTENSION IF NOT EXISTS pg_trgm;\nEOSQL\n" }, { "path": "docker/restart.sh", "content": "#!/bin/bash\nset -e\n\ncd \"$(dirname \"$0\")\"\nsource \"./scripts/common.sh\"\ninit_docker_env_with_env_check\n\n# 颜色\nCYAN='\\033[0;36m'\nGREEN='\\033[0;32m'\nNC='\\033[0m'\n\necho -e \"${CYAN}[RESTART]${NC} 重启服务...\"\n\n# 尝试重启两种模式的容器\nif [ -f \"docker-compose.yml\" ]; then\n ${COMPOSE_CMD} -f docker-compose.yml restart 2>/dev/null || true\nfi\nif [ -f \"docker-compose.dev.yml\" ]; then\n ${COMPOSE_CMD} -f docker-compose.dev.yml restart 2>/dev/null || true\nfi\n\necho -e \"${GREEN}[OK]${NC} 服务已重启\"\n" }, { "path": "docker/scripts/common.sh", "content": "#!/bin/bash\n# 公共函数库 - 被其他脚本 source 引用\n\n# ==================== 颜色定义 ====================\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nNC='\\033[0m'\n\n# ==================== 日志函数 ====================\nlog_info() { echo -e \"${GREEN}[INFO]${NC} $1\"; }\nlog_warn() { echo -e \"${YELLOW}[WARN]${NC} $1\"; }\nlog_error() { echo -e \"${RED}[ERROR]${NC} $1\"; }\n\n# ==================== Docker 环境检查 ====================\ncheck_docker() {\n if ! command -v docker >/dev/null 2>&1; then\n log_error \"未检测到 docker 命令，请先安装 Docker。\"\n exit 1\n fi\n\n if ! docker info >/dev/null 2>&1; then\n log_error \"Docker 守护进程未运行，请先启动 Docker。\"\n exit 1\n fi\n}\n\n# ==================== Docker Compose 命令检测 ====================\ndetect_compose_cmd() {\n if docker compose version >/dev/null 2>&1; then\n COMPOSE_CMD=\"docker compose\"\n elif command -v docker-compose >/dev/null 2>&1; then\n COMPOSE_CMD=\"docker-compose\"\n else\n log_error \"未检测到 docker-compose 或 docker compose。\"\n exit 1\n fi\n export COMPOSE_CMD\n}\n\n# ==================== 环境变量文件检查 ====================\ncheck_env_file() {\n if [ ! -f .env ]; then\n log_error \"未找到 .env 配置文件。\"\n echo \" 请先根据 .env.example 创建 .env 文件。\"\n exit 1\n fi\n}\n\n# ==================== 数据库配置检测 ====================\ndetect_db_profile() {\n DB_HOST=$(grep -E \"^DB_HOST=\" .env | cut -d'=' -f2 | tr -d ' \"'\"'\" || echo \"postgres\")\n \n if [[ \"$DB_HOST\" == \"postgres\" || \"$DB_HOST\" == \"localhost\" || \"$DB_HOST\" == \"127.0.0.1\" ]]; then\n echo \"[DB] 使用本地 PostgreSQL 容器\"\n PROFILE_ARG=\"--profile local-db\"\n else\n echo \"[DB] 使用远程 PostgreSQL: $DB_HOST\"\n PROFILE_ARG=\"\"\n fi\n export PROFILE_ARG\n}\n\n\n# ==================== 获取 docker 目录路径 ====================\nget_docker_dir() {\n # common.sh 位于 docker/scripts/，所以 docker 目录是上一级\n local script_dir=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")\" && pwd)\"\n echo \"$(dirname \"$script_dir\")\"\n}\n\n# ==================== 初始化检查（一次性调用） ====================\ninit_docker_env() {\n DOCKER_DIR=\"$(get_docker_dir)\"\n cd \"$DOCKER_DIR\"\n check_docker\n detect_compose_cmd\n export DOCKER_DIR\n}\n\ninit_docker_env_with_env_check() {\n init_docker_env\n check_env_file\n}\n" }, { "path": "docker/scripts/init-data.sh", "content": "#!/bin/bash\n#\n# 数据初始化脚本（公共模块）\n#\n# 包含：\n# - 数据库迁移\n# - 初始化默认引擎配置\n# - 初始化字典\n# - 初始化 Nuclei 模板仓库\n#\n# 被以下脚本调用：\n# - install.sh（安装时）\n# - start.sh（启动时）\n# - update.sh（更新时）\n#\n\nset -e\n\nSCRIPT_DIR=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")\" && pwd)\"\nDOCKER_DIR=\"$(dirname \"$SCRIPT_DIR\")\"\ncd \"$DOCKER_DIR\"\n\n# 颜色输出\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nBLUE='\\033[0;34m'\nCYAN='\\033[0;36m'\nBOLD='\\033[1m'\nNC='\\033[0m'\n\nlog_info() { echo -e \" ${GREEN}OK${NC} $1\"; }\nlog_warn() { echo -e \" ${YELLOW}!${NC} $1\"; }\nlog_step() { echo -e \" ${CYAN}>>${NC} $1\"; }\n\n# 检查服务是否运行\ncheck_server() {\n # 使用 docker compose ps 的 --format 选项获取服务状态\n # 这种方式不依赖容器名称格式，只检查服务名\n if ! docker compose ps --format '{{.Service}} {{.State}}' 2>/dev/null | grep -E \"^server\\s+running\" > /dev/null; then\n echo \"Server 容器未运行，跳过数据初始化\"\n return 1\n fi\n return 0\n}\n\n# 等待服务就绪\nwait_for_server() {\n log_info \"等待 Server 服务就绪...\"\n local max_attempts=30\n local attempt=0\n \n while [ $attempt -lt $max_attempts ]; do\n if docker compose exec -T server python backend/manage.py check &>/dev/null; then\n log_info \"Server 服务已就绪\"\n return 0\n fi\n attempt=$((attempt + 1))\n sleep 2\n done\n \n log_warn \"等待 Server 服务超时\"\n return 1\n}\n\n# 数据库迁移\nrun_migrations() {\n log_step \"执行数据库迁移...\"\n \n # 迁移文件应手动生成并提交到仓库，这里只执行 migrate\n docker compose exec -T server python backend/manage.py migrate --noinput\n log_info \"数据库迁移完成\"\n}\n\n# 初始化引擎配置\ninit_engine_config() {\n log_step \"初始化引擎配置...\"\n docker compose exec -T server python backend/manage.py shell -c \"\nfrom apps.engine.models import ScanEngine\nfrom pathlib import Path\n\nyaml_path = Path('/app/backend/apps/scan/configs/engine_config_example.yaml')\nif not yaml_path.exists():\n print('未找到配置文件，跳过')\n exit(0)\n\nnew_config = yaml_path.read_text()\n\n# 检查是否已有 full scan 引擎\nengine = ScanEngine.objects.filter(name='full scan').first()\nif engine:\n # 直接覆盖为最新配置\n engine.configuration = new_config\n engine.save(update_fields=['configuration'])\n print(f'已更新引擎配置: {engine.name}')\nelse:\n # 创建引擎\n engine = ScanEngine.objects.create(\n name='full scan',\n configuration=new_config,\n )\n print(f'已创建引擎: {engine.name}')\n\"\n log_info \"引擎配置初始化完成\"\n}\n\n# 初始化字典\ninit_wordlists() {\n log_step \"初始化字典...\"\n docker compose exec -T server python backend/manage.py init_wordlists\n log_info \"字典初始化完成\"\n}\n\n# 初始化指纹库\ninit_fingerprints() {\n log_step \"初始化指纹库...\"\n docker compose exec -T server python backend/manage.py init_fingerprints\n log_info \"指纹库初始化完成\"\n}\n\n# 初始化 Nuclei 模板仓库\ninit_nuclei_templates() {\n log_step \"初始化 Nuclei 模板仓库...\"\n # 只创建数据库记录，git clone 由 install.sh 在容器外完成（支持 Git 加速）\n docker compose exec -T server python backend/manage.py init_nuclei_templates\n log_info \"Nuclei 模板仓库初始化完成\"\n}\n\n# 初始化 admin 用户\ninit_admin_user() {\n log_step \"初始化 admin 用户...\"\n docker compose exec -T server python backend/manage.py init_admin\n log_info \"admin 用户初始化完成\"\n}\n\n# 主函数\nmain() {\n # 解析参数\n DEV_MODE=false\n SKIP_MIGRATION=false\n \n while [[ $# -gt 0 ]]; do\n case $1 in\n --dev) DEV_MODE=true; shift ;;\n --skip-migration) SKIP_MIGRATION=true; shift ;;\n *) shift ;;\n esac\n done\n\n echo \"\"\n echo -e \"${BOLD}${BLUE}────────────────────────────────────────${NC}\"\n echo -e \"${BOLD}${BLUE} 数据初始化${NC}\"\n echo -e \"${BOLD}${BLUE}────────────────────────────────────────${NC}\"\n echo \"\"\n\n if ! check_server; then\n return 1\n fi\n\n wait_for_server || return 1\n\n if [ \"$SKIP_MIGRATION\" = \"false\" ]; then\n run_migrations\n fi\n \n init_engine_config\n init_wordlists\n init_fingerprints\n init_nuclei_templates\n init_admin_user\n\n echo \"\"\n echo -e \" ${GREEN}数据初始化完成${NC}\"\n echo \"\"\n}\n\n# 如果直接执行此脚本\nif [[ \"${BASH_SOURCE[0]}\" == \"${0}\" ]]; then\n main \"$@\"\nfi\n" }, { "path": "docker/scripts/install-pg-ivm.sh", "content": "#!/bin/bash\n# pg_ivm 一键安装脚本（用于远程自建 PostgreSQL 服务器）\n# 要求: PostgreSQL 13+ 版本\nset -e\n\necho \"==========================================\"\necho \"pg_ivm 一键安装脚本\"\necho \"要求: PostgreSQL 13+ 版本\"\necho \"==========================================\"\necho \"\"\n\n# 检查是否以 root 运行\nif [ \"$EUID\" -ne 0 ]; then\n echo \"错误: 请使用 sudo 运行此脚本\"\n exit 1\nfi\n\n# 检测 PostgreSQL 版本\ndetect_pg_version() {\n if command -v psql &> /dev/null; then\n psql --version | grep -oP '\\d+' | head -1\n elif [ -n \"$PG_VERSION\" ]; then\n echo \"$PG_VERSION\"\n else\n echo \"15\"\n fi\n}\n\nPG_VERSION=${PG_VERSION:-$(detect_pg_version)}\n\n# 检测 PostgreSQL\nif ! command -v psql &> /dev/null; then\n echo \"错误: 未检测到 PostgreSQL，请先安装 PostgreSQL\"\n exit 1\nfi\n\necho \"检测到 PostgreSQL 版本: $PG_VERSION\"\n\n# 检查版本要求\nif [ \"$PG_VERSION\" -lt 13 ]; then\n echo \"错误: pg_ivm 要求 PostgreSQL 13+ 版本，当前版本: $PG_VERSION\"\n exit 1\nfi\n\n# 安装编译依赖\necho \"\"\necho \"[1/4] 安装编译依赖...\"\nif command -v apt-get &> /dev/null; then\n apt-get update -qq\n apt-get install -y -qq build-essential postgresql-server-dev-${PG_VERSION} git\nelif command -v yum &> /dev/null; then\n yum install -y gcc make git postgresql${PG_VERSION}-devel\nelse\n echo \"错误: 不支持的包管理器，请手动安装编译依赖\"\n exit 1\nfi\necho \"✓ 编译依赖安装完成\"\n\n# 编译安装 pg_ivm\necho \"\"\necho \"[2/4] 编译安装 pg_ivm...\"\nrm -rf /tmp/pg_ivm\ngit clone --quiet https://github.com/sraoss/pg_ivm.git /tmp/pg_ivm\ncd /tmp/pg_ivm\nmake -s\nmake install -s\nrm -rf /tmp/pg_ivm\necho \"✓ pg_ivm 编译安装完成\"\n\n# 配置 shared_preload_libraries\necho \"\"\necho \"[3/4] 配置 shared_preload_libraries...\"\n\nPG_CONF_DIRS=(\n \"/etc/postgresql/${PG_VERSION}/main\"\n \"/var/lib/pgsql/${PG_VERSION}/data\"\n \"/var/lib/postgresql/data\"\n)\n\nPG_CONF_DIR=\"\"\nfor dir in \"${PG_CONF_DIRS[@]}\"; do\n if [ -d \"$dir\" ]; then\n PG_CONF_DIR=\"$dir\"\n break\n fi\ndone\n\nif [ -z \"$PG_CONF_DIR\" ]; then\n echo \"警告: 未找到 PostgreSQL 配置目录，请手动配置 shared_preload_libraries\"\n echo \"在 postgresql.conf 中添加: shared_preload_libraries = 'pg_ivm'\"\nelse\n if grep -q \"shared_preload_libraries.*pg_ivm\" \"$PG_CONF_DIR/postgresql.conf\" 2>/dev/null; then\n echo \"✓ shared_preload_libraries 已配置\"\n else\n if [ -d \"$PG_CONF_DIR/conf.d\" ]; then\n echo \"shared_preload_libraries = 'pg_ivm'\" > \"$PG_CONF_DIR/conf.d/pg_ivm.conf\"\n echo \"✓ 配置已写入 $PG_CONF_DIR/conf.d/pg_ivm.conf\"\n else\n if grep -q \"^shared_preload_libraries\" \"$PG_CONF_DIR/postgresql.conf\"; then\n sed -i \"s/^shared_preload_libraries = '\\(.*\\)'/shared_preload_libraries = '\\1,pg_ivm'/\" \"$PG_CONF_DIR/postgresql.conf\"\n else\n echo \"shared_preload_libraries = 'pg_ivm'\" >> \"$PG_CONF_DIR/postgresql.conf\"\n fi\n echo \"✓ 配置已写入 $PG_CONF_DIR/postgresql.conf\"\n fi\n fi\nfi\n\n# 重启 PostgreSQL\necho \"\"\necho \"[4/4] 重启 PostgreSQL...\"\nif systemctl is-active --quiet postgresql; then\n systemctl restart postgresql\n echo \"✓ PostgreSQL 已重启\"\nelif systemctl is-active --quiet postgresql-${PG_VERSION}; then\n systemctl restart postgresql-${PG_VERSION}\n echo \"✓ PostgreSQL 已重启\"\nelse\n echo \"警告: 无法自动重启 PostgreSQL，请手动重启\"\nfi\n\necho \"\"\necho \"==========================================\"\necho \"✓ pg_ivm 安装完成\"\necho \"==========================================\"\necho \"\"\necho \"验证安装:\"\necho \" psql -U postgres -c \\\"CREATE EXTENSION IF NOT EXISTS pg_ivm;\\\"\"\necho \"\"\n" }, { "path": "docker/scripts/setup-swap.sh", "content": "#!/bin/bash\n#\n# Ubuntu/Debian 一键开启交换分区脚本\n# 用法: sudo ./setup-swap.sh [大小GB]\n# 示例: sudo ./setup-swap.sh 4 # 创建 4GB 交换分区\n# sudo ./setup-swap.sh # 默认创建与内存相同大小的交换分区\n#\n\nset -e\n\n# 颜色定义\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nNC='\\033[0m'\n\nlog_info() { echo -e \"${GREEN}[INFO]${NC} $1\"; }\nlog_warn() { echo -e \"${YELLOW}[WARN]${NC} $1\"; }\nlog_error() { echo -e \"${RED}[ERROR]${NC} $1\"; }\n\n# 检查 root 权限\nif [ \"$EUID\" -ne 0 ]; then\n log_error \"请使用 sudo 运行此脚本\"\n exit 1\nfi\n\n# 检查是否已有交换分区\nCURRENT_SWAP_KB=$(grep SwapTotal /proc/meminfo | awk '{print $2}')\nCURRENT_SWAP_GB=$(awk \"BEGIN {printf \\\"%.0f\\\", $CURRENT_SWAP_KB / 1024 / 1024}\")\nif [ \"$CURRENT_SWAP_GB\" -gt 0 ]; then\n log_warn \"系统已有 ${CURRENT_SWAP_GB}GB 交换分区\"\n swapon --show\n read -p \"是否继续添加新的交换分区？(y/N) \" -r\n if [[ ! $REPLY =~ ^[Yy]$ ]]; then\n log_info \"已取消\"\n exit 0\n fi\nfi\n\n# 获取系统内存大小（GB，四舍五入）\nTOTAL_MEM_KB=$(grep MemTotal /proc/meminfo | awk '{print $2}')\nTOTAL_MEM_GB=$(awk \"BEGIN {printf \\\"%.0f\\\", $TOTAL_MEM_KB / 1024 / 1024}\")\n\n# 确定交换分区大小\nif [ -n \"$1\" ]; then\n SWAP_SIZE_GB=$1\nelse\n # 默认与内存相同，最小 1GB，最大 8GB\n SWAP_SIZE_GB=$TOTAL_MEM_GB\n [ \"$SWAP_SIZE_GB\" -lt 1 ] && SWAP_SIZE_GB=1\n [ \"$SWAP_SIZE_GB\" -gt 8 ] && SWAP_SIZE_GB=8\nfi\n\nSWAP_FILE=\"/swapfile_xingrin\"\n\nlog_info \"系统内存: ${TOTAL_MEM_GB}GB\"\nlog_info \"将创建 ${SWAP_SIZE_GB}GB 交换分区: $SWAP_FILE\"\n\n# 检查磁盘空间（向下取整，保守估计）\nAVAILABLE_GB=$(df / | tail -1 | awk '{printf \"%.0f\", $4/1024/1024}')\nif [ \"$AVAILABLE_GB\" -lt \"$SWAP_SIZE_GB\" ]; then\n log_error \"磁盘空间不足！可用: ${AVAILABLE_GB}GB，需要: ${SWAP_SIZE_GB}GB\"\n exit 1\nfi\n\n# 创建交换文件\nlog_info \"正在创建交换文件（可能需要几分钟）...\"\ndd if=/dev/zero of=$SWAP_FILE bs=1G count=$SWAP_SIZE_GB status=progress\n\n# 设置权限\nchmod 600 $SWAP_FILE\n\n# 格式化为交换分区\nmkswap $SWAP_FILE\n\n# 启用交换分区\nswapon $SWAP_FILE\n\n# 添加到 fstab（开机自动挂载）\nif ! grep -q \"$SWAP_FILE\" /etc/fstab; then\n echo \"$SWAP_FILE none swap sw 0 0\" >> /etc/fstab\n log_info \"已添加到 /etc/fstab，开机自动启用\"\nfi\n\n# 优化 swappiness（降低交换倾向，优先使用内存）\nSWAPPINESS=10\nif ! grep -q \"vm.swappiness\" /etc/sysctl.conf; then\n echo \"vm.swappiness=$SWAPPINESS\" >> /etc/sysctl.conf\nfi\nsysctl vm.swappiness=$SWAPPINESS >/dev/null\n\nlog_info \"交换分区创建成功！\"\necho \"\"\necho \"当前交换分区状态:\"\nswapon --show\necho \"\"\nfree -h\n" }, { "path": "docker/scripts/setup-system-monitor.sh", "content": "#!/bin/bash\n# 系统监控初始化脚本：8G Swap + Netdata + OOM 保护\n# 需要 root 权限运行\n\nset -e\n\nSWAP_SIZE=\"8G\"\nSWAP_FILE=\"/swapfile\"\n\necho \"========== 系统监控初始化 ==========\"\n\n# 1. 设置 Swap\necho \"[1/3] 配置 ${SWAP_SIZE} Swap...\"\nif swapon --show | grep -q \"${SWAP_FILE}\"; then\n echo \" Swap 已存在，跳过\"\nelse\n fallocate -l ${SWAP_SIZE} ${SWAP_FILE}\n chmod 600 ${SWAP_FILE}\n mkswap ${SWAP_FILE}\n swapon ${SWAP_FILE}\n \n # 添加到 fstab（如果不存在）\n if ! grep -q \"${SWAP_FILE}\" /etc/fstab; then\n echo \"${SWAP_FILE} none swap sw 0 0\" >> /etc/fstab\n fi\n echo \" Swap 配置完成\"\nfi\n\n# 2. 安装 Netdata\necho \"[2/3] 安装 Netdata...\"\nif command -v netdata &> /dev/null; then\n echo \" Netdata 已安装，跳过\"\nelse\n curl -fsSL https://get.netdata.cloud/kickstart.sh -o /tmp/netdata-kickstart.sh\n bash /tmp/netdata-kickstart.sh --non-interactive --stable-channel\n rm -f /tmp/netdata-kickstart.sh\n echo \" Netdata 安装完成\"\nfi\n\n# 3. 设置 Netdata OOM 保护\necho \"[3/3] 配置 OOM 保护...\"\nOOM_CONF_DIR=\"/etc/systemd/system/netdata.service.d\"\nOOM_CONF_FILE=\"${OOM_CONF_DIR}/oom.conf\"\n\nif [ -f \"${OOM_CONF_FILE}\" ]; then\n echo \" OOM 保护已配置，跳过\"\nelse\n mkdir -p ${OOM_CONF_DIR}\n cat > ${OOM_CONF_FILE} << 'EOF'\n[Service]\nOOMScoreAdjust=-1000\nEOF\n systemctl daemon-reload\n systemctl restart netdata\n echo \" OOM 保护配置完成\"\nfi\n\necho \"\"\necho \"========== 配置完成 ==========\"\necho \"Swap: $(swapon --show --bytes | awk 'NR==2{print $3/1024/1024/1024 \" GB\"}')\"\necho \"Netdata: http://$(hostname -I | awk '{print $1}'):19999\"\necho \"\"\n" }, { "path": "docker/scripts/test-pg-ivm.sh", "content": "#!/bin/bash\n# pg_ivm 安装验证测试\n# 在 Docker 容器中测试 install-pg-ivm.sh 的安装流程\nset -e\n\nSCRIPT_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\nCONTAINER_NAME=\"pg_ivm_test_$$\"\nIMAGE_NAME=\"postgres:15\"\n\necho \"==========================================\"\necho \"pg_ivm 安装验证测试\"\necho \"==========================================\"\n\n# 清理函数\ncleanup() {\n echo \"\"\n echo \"[清理] 删除测试容器...\"\n docker rm -f \"$CONTAINER_NAME\" 2>/dev/null || true\n}\ntrap cleanup EXIT\n\n# 1. 启动临时容器\necho \"\"\necho \"[1/5] 启动临时 PostgreSQL 容器...\"\ndocker run -d --name \"$CONTAINER_NAME\" \\\n -e POSTGRES_PASSWORD=test \\\n -e POSTGRES_USER=postgres \\\n -e POSTGRES_DB=testdb \\\n -e PG_VERSION=15 \\\n \"$IMAGE_NAME\"\n\necho \"等待 PostgreSQL 启动...\"\nsleep 10\n\nif ! docker ps | grep -q \"$CONTAINER_NAME\"; then\n echo \"错误: 容器启动失败\"\n exit 1\nfi\n\n# 2. 复制并执行安装脚本\necho \"\"\necho \"[2/5] 执行 pg_ivm 安装脚本...\"\ndocker cp \"$SCRIPT_DIR/install-pg-ivm.sh\" \"$CONTAINER_NAME:/tmp/install-pg-ivm.sh\"\n\n# 在容器内模拟安装（跳过 systemctl 重启，手动重启容器）\ndocker exec \"$CONTAINER_NAME\" bash -c \"\nset -e\nexport PG_VERSION=15\n\necho '安装编译依赖...'\napt-get update -qq\napt-get install -y -qq build-essential postgresql-server-dev-15 git\n\necho '编译安装 pg_ivm...'\nrm -rf /tmp/pg_ivm\ngit clone --quiet https://github.com/sraoss/pg_ivm.git /tmp/pg_ivm\ncd /tmp/pg_ivm\nmake -s\nmake install -s\nrm -rf /tmp/pg_ivm\necho '✓ pg_ivm 编译安装完成'\n\"\n\n# 3. 配置 shared_preload_libraries 并重启\necho \"\"\necho \"[3/5] 配置 shared_preload_libraries...\"\ndocker exec \"$CONTAINER_NAME\" bash -c \"\necho \\\"shared_preload_libraries = 'pg_ivm'\\\" >> /var/lib/postgresql/data/postgresql.conf\n\"\necho \"重启 PostgreSQL...\"\ndocker restart \"$CONTAINER_NAME\"\nsleep 8\n\n# 4. 验证扩展是否可用\necho \"\"\necho \"[4/5] 验证 pg_ivm 扩展...\"\ndocker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -c \"CREATE EXTENSION IF NOT EXISTS pg_ivm;\" > /dev/null 2>&1\n\nEXTENSION_EXISTS=$(docker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -t -c \"SELECT COUNT(*) FROM pg_extension WHERE extname = 'pg_ivm';\")\nif [ \"$(echo $EXTENSION_EXISTS | tr -d ' ')\" != \"1\" ]; then\n echo \"错误: pg_ivm 扩展未正确加载\"\n exit 1\nfi\necho \"✓ pg_ivm 扩展已加载\"\n\n# 5. 测试 IMMV 功能\necho \"\"\necho \"[5/5] 测试 IMMV 增量更新功能...\"\ndocker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -c \"\nCREATE TABLE test_table (id SERIAL PRIMARY KEY, name TEXT, value INTEGER);\nSELECT pgivm.create_immv('test_immv', 'SELECT id, name, value FROM test_table');\nINSERT INTO test_table (name, value) VALUES ('test1', 100);\nINSERT INTO test_table (name, value) VALUES ('test2', 200);\n\" > /dev/null 2>&1\n\nIMMV_COUNT=$(docker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -t -c \"SELECT COUNT(*) FROM test_immv;\")\nif [ \"$(echo $IMMV_COUNT | tr -d ' ')\" != \"2\" ]; then\n echo \"错误: IMMV 增量更新失败，期望 2 行，实际 $(echo $IMMV_COUNT | tr -d ' ') 行\"\n exit 1\nfi\necho \"✓ IMMV 增量更新正常 (2 行数据)\"\n\n# 测试更新\ndocker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -c \"UPDATE test_table SET value = 150 WHERE name = 'test1';\" > /dev/null 2>&1\nUPDATED_VALUE=$(docker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -t -c \"SELECT value FROM test_immv WHERE name = 'test1';\")\nif [ \"$(echo $UPDATED_VALUE | tr -d ' ')\" != \"150\" ]; then\n echo \"错误: IMMV 更新同步失败\"\n exit 1\nfi\necho \"✓ IMMV 更新同步正常\"\n\n# 测试删除\ndocker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -c \"DELETE FROM test_table WHERE name = 'test2';\" > /dev/null 2>&1\nIMMV_COUNT_AFTER=$(docker exec \"$CONTAINER_NAME\" psql -U postgres -d testdb -t -c \"SELECT COUNT(*) FROM test_immv;\")\nif [ \"$(echo $IMMV_COUNT_AFTER | tr -d ' ')\" != \"1\" ]; then\n echo \"错误: IMMV 删除同步失败\"\n exit 1\nfi\necho \"✓ IMMV 删除同步正常\"\n\necho \"\"\necho \"==========================================\"\necho \"✓ 所有测试通过\"\necho \"==========================================\"\necho \"\"\necho \"pg_ivm 安装验证成功，可以继续构建自定义 PostgreSQL 镜像\"\n" }, { "path": "docker/server/Dockerfile", "content": "FROM python:3.10-slim-bookworm\n\nWORKDIR /app\n\n# 安装系统依赖 (用于编译某些 Python 包)\nRUN apt-get update && apt-get install -y \\\n gcc \\\n libpq-dev \\\n curl \\\n git \\\n && rm -rf /var/lib/apt/lists/*\n\n# 安装 Docker CLI（用于本地 Worker 任务分发）\n# 只安装 docker-ce-cli，避免安装完整 Docker 引擎\nRUN apt-get update && \\\n apt-get install -y ca-certificates gnupg && \\\n install -m 0755 -d /etc/apt/keyrings && \\\n curl -fsSL https://download.docker.com/linux/debian/gpg | gpg --dearmor -o /etc/apt/keyrings/docker.gpg && \\\n chmod a+r /etc/apt/keyrings/docker.gpg && \\\n echo \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/debian bookworm stable\" > /etc/apt/sources.list.d/docker.list && \\\n apt-get update && \\\n apt-get install -y docker-ce-cli && \\\n rm -rf /var/lib/apt/lists/*\n\n# 安装 uv（超快的 Python 包管理器）\nRUN pip install uv\n\n# 安装 Python 依赖（使用 uv 并行下载，速度快 10-100 倍）\nCOPY backend/requirements.txt .\nRUN --mount=type=cache,target=/root/.cache/uv \\\n uv pip install --system -r requirements.txt\n\n# 复制后端代码\nCOPY backend /app/backend\nENV PYTHONPATH=/app/backend\n\n# 暴露端口\n# 8888: Django/uvicorn\nEXPOSE 8888\n\n# 复制启动脚本\nCOPY docker/server/start.sh /app/start.sh\nRUN chmod +x /app/start.sh\n\nCMD [\"/app/start.sh\"]\n" }, { "path": "docker/server/start.sh", "content": "#!/bin/bash\nset -e\n\necho \"[START] 启动 XingRin Server...\"\n\n# 1. 执行数据库迁移（迁移文件应提交到仓库，这里只执行 migrate）\necho \" [1/3] 执行数据库迁移...\"\ncd /app/backend\npython manage.py migrate --noinput\necho \" ✓ 数据库迁移完成\"\n\necho \" [1.1/3] 初始化默认扫描引擎...\"\npython manage.py init_default_engine --force\necho \" ✓ 默认扫描引擎已就绪\"\n\necho \" [1.2/3] 初始化默认目录字典...\"\npython manage.py init_wordlists\necho \" ✓ 默认目录字典已就绪\"\n\necho \" [1.3/3] 初始化默认指纹库...\"\npython manage.py init_fingerprints\necho \" ✓ 默认指纹库已就绪\"\n\n# 2. 启动 Django uvicorn 服务 (ASGI)\n# 定时任务由内置 APScheduler 处理，在 Django 启动时自动启动\necho \" [2/3] 启动 Django uvicorn (ASGI)...\"\nuvicorn config.asgi:application --host 0.0.0.0 --port 8888\n" }, { "path": "docker/start.sh", "content": "#!/bin/bash\nset -e\n\ncd \"$(dirname \"$0\")\"\n\n# 颜色定义\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nBLUE='\\033[0;34m'\nCYAN='\\033[0;36m'\nBOLD='\\033[1m'\nNC='\\033[0m'\n\n# 解析参数\nWITH_FRONTEND=true\nDEV_MODE=false\nQUIET_MODE=false\nfor arg in \"$@\"; do\n case $arg in\n --no-frontend) WITH_FRONTEND=false ;;\n --dev) DEV_MODE=true ;;\n --quiet) QUIET_MODE=true ;;\n esac\ndone\n\n# 选择 compose 文件\nif [ \"$DEV_MODE\" = true ]; then\n COMPOSE_FILE=\"docker-compose.dev.yml\"\n echo -e \"${YELLOW}[MODE]${NC} 开发模式 - 本地构建镜像\"\nelse\n COMPOSE_FILE=\"docker-compose.yml\"\n echo -e \"${GREEN}[MODE]${NC} 生产模式 - 使用 Docker Hub 镜像\"\nfi\n\n# 检查 Docker 环境\nif ! command -v docker >/dev/null 2>&1; then\n echo -e \"${RED}[ERROR]${NC} 未检测到 docker 命令，请先安装 Docker\"\n exit 1\nfi\n\nif ! docker info >/dev/null 2>&1; then\n echo -e \"${RED}[ERROR]${NC} Docker 守护进程未运行，请先启动 Docker\"\n exit 1\nfi\n\nif docker compose version >/dev/null 2>&1; then\n COMPOSE_CMD=\"docker compose\"\nelif command -v docker-compose >/dev/null 2>&1; then\n COMPOSE_CMD=\"docker-compose\"\nelse\n echo -e \"${RED}[ERROR]${NC} 未检测到 docker compose，请先安装\"\n exit 1\nfi\n\n# 检查配置文件\nif [ ! -f .env ]; then\n echo -e \"${RED}[ERROR]${NC} 未找到 .env 配置文件\"\n echo \" 请先复制 .env.example 为 .env 并配置\"\n exit 1\nfi\n\n# 确保数据目录存在\nDATA_DIR=\"/opt/xingrin\"\nif [ ! -d \"$DATA_DIR/results\" ] || [ ! -d \"$DATA_DIR/logs\" ]; then\n echo -e \"${CYAN}[INIT]${NC} 创建数据目录: $DATA_DIR\"\n sudo mkdir -p \"$DATA_DIR/results\" \"$DATA_DIR/logs\"\n sudo chmod -R 755 \"$DATA_DIR\"\nfi\n\n# 读取数据库配置\nDB_HOST=$(grep -E \"^DB_HOST=\" .env | cut -d'=' -f2 | tr -d ' \"'\"'\" || echo \"postgres\")\n\nif [[ \"$DB_HOST\" == \"postgres\" || \"$DB_HOST\" == \"localhost\" || \"$DB_HOST\" == \"127.0.0.1\" ]]; then\n echo -e \"${CYAN}[DB]${NC} 使用本地 PostgreSQL 容器\"\n PROFILE_ARG=\"--profile local-db\"\nelse\n echo -e \"${CYAN}[DB]${NC} 使用远程 PostgreSQL: $DB_HOST\"\n PROFILE_ARG=\"\"\nfi\n\n# 启动服务（启用 BuildKit 缓存 + 并行构建加速）\nexport DOCKER_BUILDKIT=1\nexport COMPOSE_DOCKER_CLI_BUILD=1\nexport BUILDKIT_INLINE_CACHE=1\n\n# 使用指定的 compose 文件\nCOMPOSE_ARGS=\"-f ${COMPOSE_FILE} ${PROFILE_ARG}\"\n\nSERVICES=\"$(${COMPOSE_CMD} ${COMPOSE_ARGS} config --services)\"\nservice_exists() {\n echo \"$SERVICES\" | grep -qx \"$1\"\n}\n\nBACKEND_SERVICES=()\nfor s in redis server agent; do\n if service_exists \"$s\"; then\n BACKEND_SERVICES+=(\"$s\")\n fi\ndone\n\n# 如果使用本地数据库，先启动 postgres 并等待健康\nstart_postgres_first() {\n if [ -n \"$PROFILE_ARG\" ]; then\n echo -e \"${CYAN}[DB]${NC} 启动 PostgreSQL 容器...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d postgres\n echo -e \"${CYAN}[DB]${NC} 等待 PostgreSQL 就绪...\"\n local max_wait=30\n local count=0\n while [ $count -lt $max_wait ]; do\n if ${COMPOSE_CMD} ${COMPOSE_ARGS} exec -T postgres pg_isready -U postgres >/dev/null 2>&1; then\n echo -e \"${GREEN}[DB]${NC} PostgreSQL 已就绪\"\n return 0\n fi\n sleep 1\n count=$((count + 1))\n done\n echo -e \"${YELLOW}[WARN]${NC} PostgreSQL 等待超时，继续启动其他服务...\"\n fi\n}\n\necho \"\"\nif [ \"$DEV_MODE\" = true ]; then\n # 开发模式：本地构建\n if [ \"$WITH_FRONTEND\" = true ]; then\n echo -e \"${CYAN}[BUILD]${NC} 并行构建镜像...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} build --parallel\n start_postgres_first\n echo -e \"${CYAN}[START]${NC} 启动全部服务...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d\n else\n echo -e \"${CYAN}[BUILD]${NC} 并行构建后端镜像...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} build --parallel \"${BACKEND_SERVICES[@]}\"\n start_postgres_first\n echo -e \"${CYAN}[START]${NC} 启动后端服务...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d \"${BACKEND_SERVICES[@]}\"\n fi\nelse\n # 生产模式：拉取 Docker Hub 镜像\n # pull 后 up -d 会自动检测镜像变化并重建容器\n if [ \"$WITH_FRONTEND\" = true ]; then\n echo -e \"${CYAN}[PULL]${NC} 拉取最新镜像...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} pull\n start_postgres_first\n echo -e \"${CYAN}[START]${NC} 启动全部服务...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d\n else\n echo -e \"${CYAN}[PULL]${NC} 拉取后端镜像...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} pull \"${BACKEND_SERVICES[@]}\"\n start_postgres_first\n echo -e \"${CYAN}[START]${NC} 启动后端服务...\"\n ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d \"${BACKEND_SERVICES[@]}\"\n fi\nfi\necho -e \"${GREEN}[OK]${NC} 服务已启动\"\n\n# 数据初始化\nif [ \"$DEV_MODE\" = true ]; then\n ./scripts/init-data.sh --dev\nelse\n ./scripts/init-data.sh\nfi\n\n# 静默模式下不显示结果（由调用方显示）\nif [ \"$QUIET_MODE\" = true ]; then\n exit 0\nfi\n\n# 获取访问地址\nPUBLIC_HOST=$(grep \"^PUBLIC_HOST=\" .env 2>/dev/null | cut -d= -f2)\nif [ -n \"$PUBLIC_HOST\" ] && [ \"$PUBLIC_HOST\" != \"server\" ]; then\n ACCESS_HOST=\"$PUBLIC_HOST\"\nelse\n ACCESS_HOST=\"localhost\"\nfi\n\n# 显示结果\necho \"\"\necho -e \"${BOLD}${GREEN}════════════════════════════════════════${NC}\"\necho -e \"${BOLD}${GREEN} 服务启动成功！${NC}\"\necho -e \"${BOLD}${GREEN}════════════════════════════════════════${NC}\"\necho \"\"\necho -e \"${BOLD}访问地址${NC}\"\nif [ \"$WITH_FRONTEND\" = true ]; then\n echo -e \" XingRin: ${CYAN}https://${ACCESS_HOST}:8083/${NC}\"\n echo -e \" ${YELLOW}(HTTP 会自动跳转到 HTTPS)${NC}\"\nelse\n echo -e \" API: ${CYAN}通过前端或 nginx 访问（后端未暴露 8888）${NC}\"\n echo \"\"\n echo -e \"${YELLOW}[TIP]${NC} 前端未启动，请手动运行:\"\n echo \" cd frontend && pnpm dev\"\nfi\necho \"\"\n" }, { "path": "docker/stop.sh", "content": "#!/bin/bash\nset -e\n\ncd \"$(dirname \"$0\")\"\nsource \"./scripts/common.sh\"\ninit_docker_env\n\n# 颜色\nCYAN='\\033[0;36m'\nGREEN='\\033[0;32m'\nNC='\\033[0m'\n\necho -e \"${CYAN}[STOP]${NC} 停止服务...\"\n\n# 尝试停止两种模式的容器（生产模式和开发模式）\nif [ -f \"docker-compose.yml\" ]; then\n ${COMPOSE_CMD} -f docker-compose.yml down 2>/dev/null || true\nfi\nif [ -f \"docker-compose.dev.yml\" ]; then\n ${COMPOSE_CMD} -f docker-compose.dev.yml down 2>/dev/null || true\nfi\n\necho -e \"${GREEN}[OK]${NC} 服务已停止\"\n" }, { "path": "docker/worker/Dockerfile", "content": "# 第一阶段：使用 Go 官方镜像编译工具\nFROM golang:1.24 AS go-builder\n\nENV GOPROXY=https://goproxy.cn,direct\n# Naabu 需要 CGO 和 libpcap\nENV CGO_ENABLED=1\n\n# 安装编译依赖（libpcap-dev 用于 naabu，git/build-essential 用于编译 massdns）\nRUN apt-get update && apt-get install -y \\\n libpcap-dev \\\n git \\\n build-essential \\\n && rm -rf /var/lib/apt/lists/*\n\n# 安装 massdns（puredns 依赖）\nRUN git clone https://github.com/blechschmidt/massdns.git /tmp/massdns && \\\n cd /tmp/massdns && \\\n make && \\\n cp bin/massdns /usr/local/bin/massdns\n\n# 安装 ProjectDiscovery 等 Go 工具（需要 CGO 的工具如 naabu）\nRUN go install -v github.com/projectdiscovery/httpx/cmd/httpx@latest && \\\n go install -v github.com/projectdiscovery/naabu/v2/cmd/naabu@latest && \\\n go install -v github.com/projectdiscovery/subfinder/v2/cmd/subfinder@latest && \\\n go install -v github.com/projectdiscovery/nuclei/v3/cmd/nuclei@latest && \\\n go install -v github.com/projectdiscovery/katana/cmd/katana@latest && \\\n go install -v github.com/tomnomnom/assetfinder@latest && \\\n go install -v github.com/ffuf/ffuf/v2@latest && \\\n go install -v github.com/d3mondev/puredns/v2@latest && \\\n go install -v github.com/yyhuni/xingfinger@latest\n\n# 安装漏洞扫描器\nRUN go install github.com/hahwul/dalfox/v2@latest\n\n# 第二阶段：运行时镜像\nFROM ubuntu:24.04\n\n# 避免交互式提示\nENV DEBIAN_FRONTEND=noninteractive\n\n# 设置工作目录\nWORKDIR /app\n\n# 1. 安装基础工具和 Python\n# 注意：ARM64 使用 ports.ubuntu.com，可能存在镜像同步延迟，需要重试机制\nRUN apt-get update && \\\n apt-get install -y --no-install-recommends \\\n python3 \\\n python3-pip \\\n python3-venv \\\n pipx \\\n git \\\n curl \\\n wget \\\n unzip \\\n jq \\\n tmux \\\n nmap \\\n masscan \\\n libpcap-dev \\\n ca-certificates \\\n fonts-liberation \\\n libnss3 \\\n libxss1 \\\n libasound2t64 \\\n || (rm -rf /var/lib/apt/lists/* && apt-get update && apt-get install -y --no-install-recommends \\\n python3 python3-pip python3-venv pipx git curl wget unzip jq tmux nmap masscan libpcap-dev \\\n ca-certificates fonts-liberation libnss3 libxss1 libasound2t64) \\\n && rm -rf /var/lib/apt/lists/*\n\n# 安装 Chromium（通过 Playwright 安装，支持 ARM64 和 AMD64）\n# Ubuntu 24.04 的 chromium-browser 是 snap 过渡包，Docker 中不可用\nRUN pip install playwright --break-system-packages && \\\n playwright install chromium && \\\n apt-get update && \\\n playwright install-deps chromium && \\\n rm -rf /var/lib/apt/lists/*\n\n# 设置 Chrome 路径供 httpx 等工具使用（Playwright 安装位置）\nENV CHROME_PATH=/root/.cache/ms-playwright/chromium-*/chrome-linux/chrome\n# 创建软链接确保 httpx 的 -system-chrome 能找到浏览器\nRUN CHROME_BIN=$(find /root/.cache/ms-playwright -name chrome -type f 2>/dev/null | head -1) && \\\n ln -sf \"$CHROME_BIN\" /usr/bin/chromium-browser && \\\n ln -sf \"$CHROME_BIN\" /usr/bin/chromium && \\\n ln -sf \"$CHROME_BIN\" /usr/bin/chrome && \\\n ln -sf \"$CHROME_BIN\" /usr/bin/google-chrome-stable\n\n# 建立 python 软链接\nRUN ln -s /usr/bin/python3 /usr/bin/python\n\n# 2. 使用 pipx 安装 Python 扫描工具\nENV PATH=\"/root/.local/bin:$PATH\"\nRUN pipx install uro && \\\n pipx install waymore && \\\n pipx install dnsgen\n\n# 3. 安装 Sublist3r（Python 脚本工具，放在 /usr/local/share 标准目录）\nRUN git clone https://github.com/aboul3la/Sublist3r.git /usr/local/share/Sublist3r && \\\n pip3 install --no-cache-dir -r /usr/local/share/Sublist3r/requirements.txt --break-system-packages\n\n# 4. 从 go-builder 阶段复制 Go 环境和编译好的工具\n# 创建项目专用工具目录（符合 FHS 标准，/opt 用于独立软件包）\n# 避免与系统工具或 Python 包冲突，避免被 /opt/xingrin 挂载覆盖\nRUN mkdir -p /opt/xingrin-tools/bin\n\nENV GOPATH=/root/go\nENV GOPROXY=https://goproxy.cn,direct\n\nCOPY --from=go-builder /usr/local/go /usr/local/go\n\n# 从 go-builder 复制扫描工具到专用目录（避免与系统工具或 Python 包冲突）\nCOPY --from=go-builder /go/bin/* /opt/xingrin-tools/bin/\nCOPY --from=go-builder /usr/local/bin/massdns /opt/xingrin-tools/bin/massdns\n\n# 将专用工具目录添加到 PATH（优先级高于 /usr/local/bin，避免冲突）\nENV PATH=/opt/xingrin-tools/bin:/usr/local/go/bin:/usr/local/bin:$PATH:$GOPATH/bin\n\n# 5. 安装 uv（ Python 包管理器）并安装 Python 依赖\nCOPY backend/requirements.txt .\nRUN pip install uv --break-system-packages && \\\n uv pip install --system -r requirements.txt --break-system-packages && \\\n rm -f /usr/local/lib/python3.*/dist-packages/argparse.py && \\\n rm -rf /usr/local/lib/python3.*/dist-packages/__pycache__/argparse* && \\\n rm -rf /root/.cache/uv && \\\n apt-get clean && \\\n rm -rf /var/lib/apt/lists/*\n\n# 6. 设置 Prefect 配置目录（避免 home 目录不存在的警告）\nENV PREFECT_HOME=/app/.prefect\nRUN mkdir -p /app/.prefect\n\n# 7. 复制后端代码\nCOPY backend /app/backend\nENV PYTHONPATH=/app/backend\n\n# 工作目录设置为 backend，方便运行 python -m 命令\nWORKDIR /app/backend\n\n# 默认命令（实际由 TaskDistributor 指定具体脚本）\nCMD [\"python\", \"--version\"]\n" }, { "path": "docker-push.sh", "content": "#!/bin/bash\n\n# 目前采用github action自动版本构建，用\n# git tag v1.0.9\n# git push origin v1.0.9\n# ============================================\n# Docker Hub 镜像推送脚本\n# 用途：构建并推送所有服务镜像到 Docker Hub\n\n# 多架构构建：./docker-push.sh -p linux/amd64,linux/arm64 worker\n# ============================================\n\nset -e\n\n# 启用 BuildKit（支持高级缓存功能）\nexport DOCKER_BUILDKIT=1\n\n# ==================== 配置 ====================\n# 切换到脚本所在目录（项目根目录）\nSCRIPT_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n\n# 从 Git Tag 获取版本号（必须有 tag 才能构建）\nget_version() {\n local tag\n tag=$(git describe --tags --exact-match 2>/dev/null)\n if [ -n \"$tag\" ]; then\n echo \"$tag\"\n else\n echo -e \"\\033[0;31m[ERROR]\\033[0m 当前 commit 没有 Git Tag，无法构建\"\n echo \" 请先打 tag: git tag v1.x.x && git push --tags\"\n exit 1\n fi\n}\n\nGIT_VERSION=$(get_version)\n\n# Docker Hub 用户名（修改为你的用户名）\nDOCKER_USER=\"${DOCKER_USER:-yyhuni}\"\n# 镜像版本标签（从 Git Tag 获取）\nVERSION=\"$GIT_VERSION\"\n# 是否推送（默认 yes，设为 no 则只构建不推送）\nPUSH=\"${PUSH:-yes}\"\n# 构建平台（默认当前架构，可设为 linux/amd64,linux/arm64 进行多架构构建）\nPLATFORM=\"${PLATFORM:-}\"\n\n# 镜像列表\nIMAGES=(\n \"xingrin-server:docker/server/Dockerfile\"\n \"xingrin-frontend:docker/frontend/Dockerfile\"\n \"xingrin-nginx:docker/nginx/Dockerfile\"\n \"xingrin-worker:docker/worker/Dockerfile\"\n \"xingrin-agent:docker/agent/Dockerfile\"\n)\n\n# 颜色\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[0;33m'\nBLUE='\\033[0;34m'\nNC='\\033[0m'\n\nlog_info() { echo -e \"${BLUE}[INFO]${NC} $1\"; }\nlog_success() { echo -e \"${GREEN}[OK]${NC} $1\"; }\nlog_warn() { echo -e \"${YELLOW}[WARN]${NC} $1\"; }\nlog_error() { echo -e \"${RED}[ERROR]${NC} $1\"; }\n\n# ==================== 帮助信息 ====================\nshow_help() {\n cat << EOF\n用法: $0 [选项] [镜像名...]\n\n版本号从 Git Tag 自动获取，无 tag 时使用 dev-。\n\n选项:\n -u, --user USER Docker Hub 用户名 (默认: $DOCKER_USER)\n -p, --platform PLAT 构建平台 (如: linux/amd64,linux/arm64)\n --no-push 只构建不推送\n -h, --help 显示帮助\n\n镜像名 (可选，不指定则构建全部):\n server 后端服务\n frontend 前端服务\n nginx Nginx 反向代理\n worker 扫描 Worker\n agent 心跳上报 Agent（轻量）\n\n示例:\n $0 # 构建并推送所有镜像\n $0 server frontend # 只构建 server 和 frontend\n $0 --no-push # 只构建不推送\n $0 -p linux/amd64,linux/arm64 # 多架构构建\n\n环境变量:\n DOCKER_USER Docker Hub 用户名\n PUSH 是否推送 (yes/no)\n PLATFORM 构建平台\nEOF\n exit 0\n}\n\n# ==================== 解析参数 ====================\nSELECTED_IMAGES=()\n\nwhile [[ $# -gt 0 ]]; do\n case $1 in\n -u|--user)\n DOCKER_USER=\"$2\"\n shift 2\n ;;\n -p|--platform)\n PLATFORM=\"$2\"\n shift 2\n ;;\n --no-push)\n PUSH=\"no\"\n shift\n ;;\n -h|--help)\n show_help\n ;;\n server|frontend|nginx|worker|agent)\n SELECTED_IMAGES+=(\"$1\")\n shift\n ;;\n *)\n log_error \"未知参数: $1\"\n show_help\n ;;\n esac\ndone\n\n# ==================== 检查 Docker 登录 ====================\ncheck_docker_login() {\n if [ \"$PUSH\" = \"yes\" ]; then\n log_info \"检查 Docker Hub 登录状态...\"\n if ! docker info 2>/dev/null | grep -q \"Username\"; then\n log_warn \"未登录 Docker Hub，请先执行: docker login\"\n read -p \"是否现在登录？(y/n) \" -n 1 -r\n echo\n if [[ $REPLY =~ ^[Yy]$ ]]; then\n docker login\n else\n log_error \"需要登录才能推送镜像\"\n exit 1\n fi\n fi\n log_success \"Docker Hub 已登录\"\n fi\n}\n\n# ==================== 构建镜像 ====================\nbuild_image() {\n local name=$1\n local dockerfile=$2\n local full_name=\"${DOCKER_USER}/${name}:${VERSION}\"\n \n log_info \"构建镜像: $full_name\"\n log_info \" Dockerfile: $dockerfile\"\n \n # 构建命令\n local build_cmd=\"docker build\"\n \n # 多架构构建使用 buildx\n if [ -n \"$PLATFORM\" ]; then\n build_cmd=\"docker buildx build --platform $PLATFORM\"\n if [ \"$PUSH\" = \"yes\" ]; then\n build_cmd=\"$build_cmd --push\"\n fi\n fi\n \n # 执行构建（只打版本标签，不打 latest）\n $build_cmd \\\n -t \"$full_name\" \\\n -f \"$dockerfile\" \\\n .\n \n if [ $? -eq 0 ]; then\n log_success \"构建成功: $full_name\"\n else\n log_error \"构建失败: $full_name\"\n exit 1\n fi\n \n # 推送（非 buildx 模式）\n if [ \"$PUSH\" = \"yes\" ] && [ -z \"$PLATFORM\" ]; then\n log_info \"推送镜像: $full_name\"\n docker push \"$full_name\"\n log_success \"推送成功: $full_name\"\n fi\n}\n\n# ==================== 主流程 ====================\nmain() {\n echo \"\"\n echo \"==========================================\"\n echo \" Docker Hub 镜像构建与推送\"\n echo \"==========================================\"\n echo \"\"\n log_info \"用户: $DOCKER_USER\"\n log_warn \"版本: ${VERSION}\"\n log_info \"推送: $PUSH\"\n [ -n \"$PLATFORM\" ] && log_info \"平台: $PLATFORM\"\n echo \"\"\n \n # 确认版本号，防止误覆盖\n if [ \"$PUSH\" = \"yes\" ]; then\n echo -e \"${YELLOW}[!] 请确认版本号 ${VERSION} 是否正确${NC}\"\n echo -e \"${YELLOW} 如需修改，请打新的 Git Tag: git tag v1.x.x${NC}\"\n echo -e \"${RED} 覆盖版本号会导致所有用户的旧版本拉取出现问题！！！${NC}\"\n read -p \"确认推送？(y/N) \" -n 1 -r\n echo\n if [[ ! $REPLY =~ ^[Yy]$ ]]; then\n log_info \"已取消\"\n exit 0\n fi\n fi\n \n check_docker_login\n \n # 切换到项目根目录\n cd \"$(dirname \"$0\")\"\n \n # 如果指定了特定镜像，只构建那些\n if [ ${#SELECTED_IMAGES[@]} -gt 0 ]; then\n for sel in \"${SELECTED_IMAGES[@]}\"; do\n for item in \"${IMAGES[@]}\"; do\n name=\"${item%%:*}\"\n dockerfile=\"${item##*:}\"\n if [[ \"$name\" == \"xingrin-$sel\" ]]; then\n build_image \"$name\" \"$dockerfile\"\n fi\n done\n done\n else\n # 构建所有镜像\n for item in \"${IMAGES[@]}\"; do\n name=\"${item%%:*}\"\n dockerfile=\"${item##*:}\"\n build_image \"$name\" \"$dockerfile\"\n done\n fi\n \n echo \"\"\n echo \"==========================================\"\n log_success \" 完成！\"\n echo \"==========================================\"\n echo \"\"\n \n if [ \"$PUSH\" = \"yes\" ]; then\n log_info \"镜像已推送到 Docker Hub:\"\n for item in \"${IMAGES[@]}\"; do\n name=\"${item%%:*}\"\n echo \" - docker pull ${DOCKER_USER}/${name}:${VERSION}\"\n done\n fi\n}\n\nmain\n" }, { "path": "docs/README.md", "content": "# XingRin - 星环 技术文档\n\n## 文档目录\n\n### 架构设计\n- [版本管理架构](./version-management.md) - Git Tag 驱动的自动化版本管理系统\n- [安全检测模板架构](./nuclei-template-architecture.md) - 检测模板仓库的存储、同步、分发机制\n- [字典文件架构](./wordlist-architecture.md) - 字典文件的存储、同步、分发机制\n\n### 开发指南\n- [快速开始](./quick-start.md) - 一键安装和部署指南\n- API 文档（🚧 待补充）\n- 开发环境搭建（🚧 待补充）\n\n### 运维手册\n- 故障排查（待补充）\n- 性能优化（待补充）\n- 监控告警（待补充）\n\n## 快速导航\n\n### 常见问题\n- **版本不一致**：参考 [版本管理 - 故障排查](./version-management.md#故障排查)\n- **镜像拉取失败**：检查网络和 Docker Hub 连接\n- **远程 Worker 部署**：参考版本管理文档中的部署流程\n\n### 核心概念\n- **IMAGE_TAG**：版本锁定机制，确保所有组件版本一致\n- **--pull=missing**：镜像拉取策略，优先使用本地缓存\n- **task_distributor**：负载感知任务分发器\n\n## 贡献指南\n\n### 文档更新\n1. 新增功能时同步更新相关文档\n2. 使用 Mermaid 图表描述复杂流程\n3. 提供具体的命令示例和配置\n\n### 文档规范\n- 使用中文编写\n- 代码块标注语言类型\n- 重要概念使用**粗体**标注\n- 提供完整的示例和说明\n" }, { "path": "docs/nuclei-template-architecture.md", "content": "# Nuclei 模板管理架构\n\n本文档介绍 XingRin 中 Nuclei 模板的存储、同步和使用机制。\n\n## 目录结构\n\n```\n/opt/xingrin/nuclei-repos/\n├── nuclei-templates/ # 官方模板仓库（按仓库名命名）\n│ ├── .git/\n│ ├── http/\n│ ├── network/\n│ └── ...\n└── custom-repo/ # 自定义模板仓库\n```\n\n## 一、存储位置\n\n| 配置项 | 默认值 | 说明 |\n|--------|--------|------|\n| `NUCLEI_TEMPLATES_REPOS_BASE_DIR` | `/opt/xingrin/nuclei-repos` | 模板仓库根目录 |\n\n每个模板仓库会在根目录下创建独立子目录，目录名由仓库名称 slugify 生成。\n\n## 二、数据模型\n\n```\nNucleiTemplateRepo\n├── id # 仓库 ID\n├── name # 仓库名称（用于前端展示和 Worker 查询）\n├── repo_url # Git 仓库地址\n├── local_path # 本地克隆路径（自动生成）\n├── commit_hash # 当前同步的 commit hash\n└── last_synced_at # 最后同步时间\n```\n\n## 三、Server 端同步流程\n\n1. 用户在前端添加模板仓库（填写名称和 Git URL）\n2. 点击「同步」触发 `NucleiTemplateRepoService.refresh_repo()`\n3. 首次同步：`git clone --depth 1`（浅克隆，节省空间）\n4. 后续同步：`git pull --ff-only`（快进合并）\n5. 同步成功后更新数据库：`commit_hash`、`last_synced_at`\n\n```\n┌──────────────────────────────────────────────────────────────────────────┐\n│ Server 容器 │\n│ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ 前端 UI │ │\n│ │ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ │\n│ │ │ 添加仓库 │ │ 同步仓库 │ │ 浏览模板 │ │ │\n│ │ │ name + url │ │ 点击刷新 │ │ 目录树 │ │ │\n│ │ └──────┬───────┘ └──────┬───────┘ └──────────────┘ │ │\n│ └─────────┼───────────────────┼───────────────────────────────────┘ │\n│ │ │ │\n│ ▼ ▼ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ NucleiTemplateRepoViewSet │ │\n│ │ POST /api/nuclei/repos/ | POST .../refresh/ │ │\n│ └─────────────────────────────┬───────────────────────────────────┘ │\n│ │ │\n│ ▼ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ NucleiTemplateRepoService │ │\n│ │ │ │\n│ │ ┌────────────────────┐ ┌────────────────────────────────┐ │ │\n│ │ │ ensure_local_path()│ │ refresh_repo() │ │ │\n│ │ │ 生成本地目录路径 │ │ 执行 Git 同步 │ │ │\n│ │ └────────────────────┘ └───────────────┬────────────────┘ │ │\n│ └────────────────────────────────────────────┼────────────────────┘ │\n│ │ │\n│ ┌───────────────┴───────────────┐ │\n│ │ │ │\n│ ▼ ▼ │\n│ ┌─────────────────────┐ ┌─────────────────────┐ │\n│ │ 首次同步（无 .git） │ │ 后续同步（有 .git） │ │\n│ └──────────┬──────────┘ └──────────┬──────────┘ │\n│ │ │ │\n│ ▼ ▼ │\n│ ┌─────────────────────┐ ┌─────────────────────┐ │\n│ │ git clone --depth 1 │ │ git pull --ff-only │ │\n│ │ │ │ │ │\n│ └──────────┬──────────┘ └──────────┬──────────┘ │\n│ │ │ │\n│ └──────────────┬─────────────┘ │\n│ │ │\n│ ▼ │\n│ ┌─────────────────────────────────────────────────┐ │\n│ │ git rev-parse HEAD │ │\n│ │ 获取当前 commit hash │ │\n│ └──────────────────────────┬──────────────────────┘ │\n│ │ │\n│ ▼ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ PostgreSQL 数据库 │ │\n│ │ │ │\n│ │ UPDATE nuclei_template_repo SET │ │\n│ │ local_path = '/opt/xingrin/nuclei-repos/xxx', │ │\n│ │ commit_hash = 'abc123...', │ │\n│ │ last_synced_at = NOW() │ │\n│ │ WHERE id = ? │ │\n│ └─────────────────────────────────────────────────────────────────┘ │\n│ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ 文件系统 │ │\n│ │ /opt/xingrin/nuclei-repos/ │ │\n│ │ ├── nuclei-templates/ # 官方模板 │ │\n│ │ │ ├── .git/ │ │\n│ │ │ ├── http/ │ │\n│ │ │ ├── network/ │ │\n│ │ │ └── ... │ │\n│ │ └── custom-repo/ # 自定义模板 │ │\n│ └─────────────────────────────────────────────────────────────────┘ │\n│ │\n└──────────────────────────────────────────────────────────────────────────┘\n │\n │ git clone / pull\n ▼\n ┌─────────────────────┐\n │ GitHub / GitLab │\n │ 远程 Git 仓库 │\n └─────────────────────┘\n```\n\n## 四、Worker 端同步流程\n\nWorker 执行扫描任务时，通过 `ensure_nuclei_templates_local()` 确保本地模板与 Server 版本一致：\n\n1. 从数据库查询仓库记录，获取 `repo_url` 和 `commit_hash`\n2. 检查本地是否存在仓库目录\n - 不存在：`git clone --depth 1`\n - 存在：比较本地 commit hash 与 Server 的 `commit_hash`\n3. 如果 commit 不一致：`git fetch` + `git checkout `\n4. 返回本地模板目录路径，供 nuclei 命令使用\n\n```\n┌──────────────────────────────────────────────────────────────────────────┐\n│ Worker 容器 │\n│ │\n│ ┌─────────────┐ │\n│ │ 扫描任务 │ │\n│ │ 开始执行 │ │\n│ └──────┬──────┘ │\n│ │ │\n│ ▼ │\n│ ┌─────────────────────────┐ ┌─────────────────────────────────┐ │\n│ │ ensure_nuclei_ │ │ PostgreSQL │ │\n│ │ templates_local() │─────▶│ 查询 NucleiTemplateRepo 表 │ │\n│ │ │ │ 获取 repo_url, commit_hash │ │\n│ └───────────┬─────────────┘ └─────────────────────────────────┘ │\n│ │ │\n│ ▼ │\n│ ┌─────────────────────────┐ │\n│ │ 检查本地 .git 目录 │ │\n│ └───────────┬─────────────┘ │\n│ │ │\n│ ┌───────┴───────┐ │\n│ │ │ │\n│ ▼ ▼ │\n│ ┌────────┐ ┌────────────┐ │\n│ │ 不存在 │ │ 存在 │ │\n│ └───┬────┘ └─────┬──────┘ │\n│ │ │ │\n│ ▼ ▼ │\n│ ┌────────────┐ ┌─────────────────────┐ │\n│ │ git clone │ │ 比较 commit hash │ │\n│ │ --depth 1 │ │ local vs server │ │\n│ └─────┬──────┘ └──────────┬──────────┘ │\n│ │ │ │\n│ │ ┌───────┴───────┐ │\n│ │ │ │ │\n│ │ ▼ ▼ │\n│ │ ┌──────────┐ ┌──────────────┐ │\n│ │ │ 一致 │ │ 不一致 │ │\n│ │ │ 直接使用 │ │ │ │\n│ │ └────┬─────┘ └───────┬──────┘ │\n│ │ │ │ │\n│ │ │ ▼ │\n│ │ │ ┌──────────────────┐ │\n│ │ │ │ git fetch origin │ │\n│ │ │ │ git checkout │ │\n│ │ │ │ │ │\n│ │ │ └────────┬─────────┘ │\n│ │ │ │ │\n│ ▼ ▼ ▼ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ 返回本地模板目录路径 │ │\n│ │ /opt/xingrin/nuclei-repos// │ │\n│ └─────────────────────────────────────────────────────────────────┘ │\n│ │ │\n│ ▼ │\n│ ┌─────────────────────────────────────────────────────────────────┐ │\n│ │ 执行 nuclei 扫描 │ │\n│ │ nuclei -t /opt/xingrin/nuclei-repos/xxx/ -l targets.txt │ │\n│ └─────────────────────────────────────────────────────────────────┘ │\n│ │\n└──────────────────────────────────────────────────────────────────────────┘\n```\n\n## 五、版本一致性保证\n\n- Server 同步时记录 `commit_hash`\n- Worker 使用前检查本地 hash 是否与 Server 一致\n- 不一致时自动同步到指定 commit\n- 确保所有节点使用相同版本的模板\n\n## 六、配置项\n\n在 `docker/.env` 或环境变量中配置：\n\n```bash\n# Nuclei 模板仓库根目录\nNUCLEI_TEMPLATES_REPOS_BASE_DIR=/opt/xingrin/nuclei-repos\n```\n\n## 七、常见问题\n\n### Q: Worker 报错「未找到模板仓库」？\n\nA: 需要先在 Server 端添加并同步模板仓库，Worker 通过数据库查询仓库信息。\n\n### Q: 如何添加自定义模板仓库？\n\nA: 在前端「Nuclei 模板」页面点击添加，填写仓库名称和 Git URL，然后点击同步即可。\n\n### Q: 模板更新后 Worker 如何获取最新版本？\n\nA: 在 Server 端点击「同步」更新模板，Worker 下次执行扫描时会检测到 commit hash 不一致并自动同步。\n" }, { "path": "docs/plans/2026-03-08-oss-readiness-design.md", "content": "# XingRin OSS Readiness Design\n\n**Background**\n\nXingRin is an actively maintained open-source attack surface management and authorized security automation project. The repository currently has a standards issue: the root `LICENSE` file is GPL-3.0, while the public README still advertises `PolyForm NC`. This mismatch creates ambiguity for contributors, users, and external programs that evaluate open-source eligibility.\n\n**Goal**\n\nMake the repository clearly and consistently open source, reduce adoption friction, and improve its presentation for open-source program applications such as Codex for OSS.\n\n**Non-Goals**\n\n- No product feature changes\n- No backend or frontend behavior changes\n- No infrastructure refactors\n- No legal customizations beyond selecting a standard OSI-style license\n\n## Approach Options\n\n### Option 1: Keep GPL-3.0 and clean inconsistencies\n\nPros:\n- Lowest legal change risk\n- No relicensing concern if additional contributors exist\n- Still qualifies as a standard open-source license\n\nCons:\n- Higher downstream adoption friction\n- Less aligned with the stated goal of lowering usage barriers\n\n### Option 2: Relicense to MIT and clean inconsistencies **(Recommended)**\n\nPros:\n- Lowest friction for users, contributors, and evaluators\n- Simple, familiar, and unambiguous\n- Best fit for “make OSS status obvious and permissive” goal\n\nCons:\n- Removes copyleft protection\n- Requires confidence that relicensing authority is clear\n\n### Option 3: Relicense to Apache-2.0 and clean inconsistencies\n\nPros:\n- Permissive like MIT\n- Includes explicit patent grant language\n- Friendly for organizations evaluating adoption\n\nCons:\n- Slightly more complex than MIT\n- Provides little extra benefit for this repository’s immediate application goal\n\n## Chosen Design\n\nAdopt `MIT` as the single repository license and perform a full consistency cleanup.\n\n## Scope of Changes\n\n1. Replace the root `LICENSE` with MIT.\n2. Update README license badge and legal wording.\n3. Add clear “authorized/defensive use only” wording without adding non-open-source usage restrictions.\n4. Add `SECURITY.md` with reporting guidance.\n5. Add `CONTRIBUTING.md` with contribution process and relicensing note.\n6. Add `CODE_OF_CONDUCT.md` using a standard community format.\n7. Tighten README positioning for open-source maintenance and legitimate security workflows.\n8. Update repository metadata files that expose license information.\n\n## Risks and Mitigations\n\n- **Risk: accidental contradiction between permissive license and usage policy** \n Mitigation: keep “authorized use only” as project policy and ethics guidance, not as extra legal restrictions beyond MIT.\n\n- **Risk: relicensing history ambiguity** \n Mitigation: note contribution licensing expectations in `CONTRIBUTING.md`; rely on maintainer confirmation that substantive contributions are solely owned.\n\n- **Risk: repository still looks ambiguous to reviewers** \n Mitigation: align badge, license file, README language, and community docs in one pass.\n\n## Validation\n\n- Search repository for legacy license strings such as `PolyForm`, `Noncommercial`, and stale GPL wording references.\n- Confirm all newly added markdown files are present and coherent.\n- Optionally update GitHub repository metadata (description/topics/homepage) to better match the cleaned positioning.\n" }, { "path": "docs/plans/2026-03-08-oss-readiness.md", "content": "# XingRin OSS Readiness Implementation Plan\n\n> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.\n\n**Goal:** Make the XingRin repository clearly permissive, internally consistent, and better presented for open-source program applications.\n\n**Architecture:** This change is documentation- and metadata-driven. It standardizes licensing, removes contradictory repository messaging, adds baseline community files, and improves public positioning without changing runtime behavior.\n\n**Tech Stack:** Markdown, GitHub repository metadata, standard MIT license text\n\n---\n\n### Task 1: Add repository planning artifacts\n\n**Files:**\n- Create: `docs/plans/2026-03-08-oss-readiness-design.md`\n- Create: `docs/plans/2026-03-08-oss-readiness.md`\n\n**Step 1:** Create the approved design document.\n**Step 2:** Create the implementation plan.\n**Step 3:** Verify both files render as plain markdown.\n\n### Task 2: Replace the repository license\n\n**Files:**\n- Modify: `LICENSE`\n- Check: `frontend/package.json`\n\n**Step 1:** Replace GPL-3.0 text with MIT.\n**Step 2:** Confirm any manifest-level license field is consistent.\n**Step 3:** Search for stale GPL references.\n\n### Task 3: Clean README licensing and positioning\n\n**Files:**\n- Modify: `README.md`\n\n**Step 1:** Replace the stale license badge.\n**Step 2:** Update the project positioning to emphasize open-source, authorized, defensive use.\n**Step 3:** Refresh the maintenance/rewrite wording so it reads like active open-source stewardship.\n**Step 4:** Keep feature content intact while removing contradictory or high-risk phrasing where possible.\n\n### Task 4: Add baseline community and security docs\n\n**Files:**\n- Create: `SECURITY.md`\n- Create: `CONTRIBUTING.md`\n- Create: `CODE_OF_CONDUCT.md`\n\n**Step 1:** Add vulnerability reporting instructions.\n**Step 2:** Add contribution workflow and licensing expectations.\n**Step 3:** Add a standard code of conduct.\n\n### Task 5: Validate repository consistency\n\n**Files:**\n- Check: `README.md`\n- Check: `LICENSE`\n- Check: `SECURITY.md`\n- Check: `CONTRIBUTING.md`\n- Check: `CODE_OF_CONDUCT.md`\n\n**Step 1:** Search for `PolyForm`, `Noncommercial`, and stale GPL references.\n**Step 2:** Confirm new docs are linked or discoverable.\n**Step 3:** Review final public-facing text for clarity.\n\n### Task 6: Update GitHub metadata if beneficial\n\n**Files:**\n- External: GitHub repository settings via `gh api`\n\n**Step 1:** Update repository description if the current description is too tool-centric or ambiguous.\n**Step 2:** Keep topics aligned with authorized security and asset management.\n**Step 3:** Verify metadata reflects the README positioning.\n" }, { "path": "docs/quick-start.md", "content": "# 🚀 XingRin - 星环 快速开始\n\n## 系统要求\n\n### 硬件要求\n- **CPU**: 2 核心以上\n- **内存**: 4GB 以上\n- **存储**: 20GB 可用空间\n- **网络**: 互联网连接（用于拉取 Docker 镜像）\n\n### 软件要求\n- **操作系统**: Ubuntu 18.04+ / Debian 10+\n- **权限**: sudo 管理员权限\n- **端口要求**: 需要开放以下端口\n - `8083` - HTTPS 访问（主要访问端口）\n - `5432` - PostgreSQL 数据库（如使用本地数据库且有远程 Worker）\n - 后端 API 仅容器内监听 8888，由 nginx 反代到 8083，对公网无需放行 8888\n - Redis 仅在 Docker 内部网络使用，无需对外开放\n\n## 一键安装\n\n### 1. 下载项目\n```bash\ngit clone https://github.com/你的用户名/xingrin.git\ncd xingrin\n```\n\n### 2. 执行安装\n```bash\n# 生产环境安装\nsudo ./install.sh\n\n# 开发环境安装（本地构建镜像）\nsudo ./install.sh --dev\n\n# 只安装后端（前端单独部署）\nsudo ./install.sh --no-frontend\n```\n\n### 3. 访问系统\n安装完成后，访问：\n- **Web 界面**: https://你的服务器IP:8083/\n\n**默认账号**：\n- 用户名: `admin`\n- 密码: `admin`\n\n⚠️ **首次登录后请立即修改密码！**\n\n## ☁️ 云服务器部署注意事项\n\n### 端口安全组配置\n**阿里云/腾讯云/华为云等云服务器默认开启安全策略，需要手动放行端口！**\n\n#### 必须放行的端口\n```\n8083 - HTTPS 访问（主要访问端口）\n5432 - PostgreSQL（如使用本地数据库且有远程 Worker）\n```\n\n#### 推荐方案\n- **国外 VPS**：如 Vultr、DigitalOcean、Linode 等，默认开放所有端口，无需额外配置\n- **国内云服务器**：需要在安全组中手动放行端口，否则无法正常访问\n\n⚠️ **重要提醒**：端口未放行会导致：\n- 无法访问 Web 界面\n- 扫描功能异常\n- 远程 Worker 连接失败\n\n## 安装过程说明\n\n### 自动安装内容\n```mermaid\ngraph TD\n A[执行 install.sh] --> B[检查系统环境]\n B --> C[安装 Docker]\n C --> D[生成配置文件]\n D --> E[拉取 Docker 镜像]\n E --> F[启动服务]\n F --> G[安装完成]\n \n style A fill:#e1f5fe\n style G fill:#e8f5e8\n```\n\n### 安装步骤详解\n1. **环境检查**: 检测操作系统、安装缺失的基础命令\n2. **Docker 安装**: 自动安装 Docker 和 docker-compose\n3. **配置生成**: 创建 `.env` 配置文件，生成随机密钥\n4. **数据库配置**: 支持本地 PostgreSQL 或远程数据库\n5. **SSL 证书**: 自动生成自签名 HTTPS 证书\n6. **服务启动**: 启动所有容器服务\n\n## 服务管理\n\n### 常用命令\n```bash\n# 启动服务\n./start.sh\n\n# 停止服务\n./stop.sh\n\n# 重启服务\n./restart.sh\n\n# 卸载系统\n./uninstall.sh\n```\n\n### 服务状态检查\n```bash\n# 查看容器状态\ndocker ps\n\n# 查看服务日志\ndocker logs xingrin-server\ndocker logs xingrin-frontend\ndocker logs xingrin-nginx\ndocker logs xingrin-agent\n\n# 查看系统资源\ndocker stats\n```\n\n## 配置说明\n\n### 主要配置文件\n```\ndocker/.env # 主配置文件\ndocker/nginx/ssl/ # SSL 证书目录\n/opt/xingrin/results/ # 扫描结果存储\n/opt/xingrin/logs/ # 系统日志存储\n```\n\n### 重要配置项\n```bash\n# 数据库配置\nDB_HOST=postgres # 数据库地址\nDB_PORT=5432 # 数据库端口\nDB_NAME=xingrin # 数据库名称\nDB_USER=postgres # 数据库用户\nDB_PASSWORD=随机生成 # 数据库密码\n\n# 服务配置\nSERVER_PORT=8888 # 后端容器内部端口（仅 Docker 内网监听）\nPUBLIC_HOST=server # 对外访问地址（远程 Worker 用，配置外网 IP 或域名）\nDEBUG=False # 调试模式\n\n# 版本配置\nIMAGE_TAG=v1.0.0 # 镜像版本（自动设置）\n```\n\n## 远程 Worker 部署\n\n### 1. 主服务器添加节点\n1. 登录 Web 界面\n2. 进入 **系统管理** → **Worker 节点**\n3. 点击 **添加节点**，填写远程服务器信息：\n - 节点名称\n - IP 地址\n - SSH 端口（默认 22）\n - SSH 用户名\n - SSH 密码\n\n### 2. 一键部署\n点击 **部署** 按钮，系统会自动：\n1. SSH 连接到远程服务器\n2. 安装 Docker 环境\n3. 拉取 Worker 镜像\n4. 启动 Agent 容器\n\n### 3. 验证部署\n- 节点状态显示为 **在线**\n- 可以看到节点的 CPU、内存负载\n- 任务分发时会自动选择最优节点\n\n## 故障排查\n\n### 常见问题\n\n#### 1. 端口被占用\n```bash\n# 检查端口占用\nsudo netstat -tlnp | grep :8083\n\n# 停止占用端口的服务\nsudo systemctl stop apache2 # 如果是 Apache\nsudo systemctl stop nginx # 如果是 Nginx\n```\n\n#### 2. Docker 权限问题\n```bash\n# 添加用户到 docker 组\nsudo usermod -aG docker $USER\n\n# 重新登录或执行\nnewgrp docker\n```\n\n#### 3. 服务启动失败\n```bash\n# 查看详细错误日志\ndocker logs xingrin-server --tail 50\n\n# 检查配置文件\ncat docker/.env\n\n# 重新生成配置\ncp docker/.env.example docker/.env\n# 重新配置后启动\n```\n\n### 日志查看\n```bash\n# 实时查看日志\ndocker logs -f xingrin-server\ndocker logs -f xingrin-agent\n\n# 查看最近日志\ndocker logs --tail 100 xingrin-server\ndocker logs --tail 100 xingrin-agent\n\n# 查看系统日志\ntail -f /opt/xingrin/logs/*.log\n```\n\n\n## 下一步\n\n安装完成后，建议阅读：\n- [版本管理文档](./version-management.md) - 了解系统更新机制\n- [API 文档](./api.md) - 集成开发接口（🚧 待完善）\n- [最佳实践](./best-practices.md) - 使用建议和优化（🚧 待完善）\n\n## 获得帮助\n\n- 📖 [技术文档](./README.md)\n- 🐛 [问题反馈](https://github.com/你的用户名/xingrin/issues)\n- 💬 [讨论区](https://github.com/你的用户名/xingrin/discussions)\n- 📧 联系邮箱: your-email@example.com" }, { "path": "docs/scan-flow-architecture.md", "content": "# 扫描流程架构\n\n## 完整扫描流程\n\n```mermaid\nflowchart TB\n START[Start Scan]\n TARGET[Input Target]\n \n START --> TARGET\n \n subgraph STAGE1[\"Stage 1: Discovery Sequential\"]\n direction TB\n \n subgraph SUB[\"Subdomain Discovery\"]\n direction TB\n SUBFINDER[subfinder]\n AMASS[amass]\n SUBLIST3R[sublist3r]\n ASSETFINDER[assetfinder]\n MERGE[Merge & Deduplicate]\n BRUTEFORCE[puredns bruteforce
Dictionary Attack]\n MUTATE[dnsgen + puredns
Mutation Generation]\n RESOLVE[puredns resolve
Alive Verification]\n \n SUBFINDER --> MERGE\n AMASS --> MERGE\n SUBLIST3R --> MERGE\n ASSETFINDER --> MERGE\n MERGE --> BRUTEFORCE\n BRUTEFORCE --> MUTATE\n MUTATE --> RESOLVE\n end\n \n subgraph PORT[\"Port Scan\"]\n NAABU[naabu
Port Discovery]\n end\n \n subgraph SITE[\"Site Scan\"]\n HTTPX1[httpx
Web Service Detection]\n end\n \n subgraph FINGER[\"Fingerprint Detect\"]\n XINGFINGER[xingfinger
Tech Stack Detection]\n end\n \n RESOLVE --> NAABU\n NAABU --> HTTPX1\n HTTPX1 --> XINGFINGER\n end\n \n TARGET --> SUBFINDER\n TARGET --> AMASS\n TARGET --> SUBLIST3R\n TARGET --> ASSETFINDER\n \n subgraph STAGE2[\"Stage 2: URL Collection Parallel\"]\n direction TB\n \n subgraph URL[\"URL Fetch\"]\n direction TB\n WAYMORE[waymore
Historical URLs]\n KATANA[katana
Crawler]\n URO[uro
URL Deduplication]\n HTTPX2[httpx
Alive Verification]\n \n WAYMORE --> URO\n KATANA --> URO\n URO --> HTTPX2\n end\n \n subgraph DIR[\"Directory Scan\"]\n FFUF[ffuf
Directory Bruteforce]\n end\n end\n \n XINGFINGER --> WAYMORE\n XINGFINGER --> KATANA\n XINGFINGER --> FFUF\n \n subgraph STAGE3[\"Stage 3: Screenshot Sequential\"]\n direction TB\n SCREENSHOT[Playwright
Page Screenshot]\n end\n \n HTTPX2 --> SCREENSHOT\n FFUF --> SCREENSHOT\n \n subgraph STAGE4[\"Stage 4: Security Checks\"]\n direction TB\n \n subgraph VULN[\"Security Checks\"]\n direction LR\n DALFOX[dalfox
XSS Check]\n NUCLEI[nuclei
Security Check]\n end\n end\n \n SCREENSHOT --> DALFOX\n SCREENSHOT --> NUCLEI\n \n DALFOX --> FINISH\n NUCLEI --> FINISH\n \n FINISH[Scan Complete]\n \n style START fill:#ff9999\n style FINISH fill:#99ff99\n style TARGET fill:#ffcc99\n style STAGE1 fill:#e6f3ff\n style STAGE2 fill:#fff4e6\n style STAGE3 fill:#ffe6f0\n```\n\n## 执行阶段定义\n\n```python\n# backend/apps/scan/configs/command_templates.py\n# Stage 1: 资产发现 - 子域名 → 端口 → 站点探测 → 指纹识别\n# Stage 2: URL 收集 - URL 获取 + 目录扫描（并行）\n# Stage 3: 截图 - 在 URL 收集完成后执行，捕获更多发现的页面\n# Stage 4: 安全检测 - 最后执行\nEXECUTION_STAGES = [\n {'mode': 'sequential', 'flows': ['subdomain_discovery', 'port_scan', 'site_scan', 'fingerprint_detect']},\n {'mode': 'parallel', 'flows': ['url_fetch', 'directory_scan']},\n {'mode': 'sequential', 'flows': ['screenshot']},\n {'mode': 'sequential', 'flows': ['vuln_scan']},\n]\n```\n\n## 各阶段输出\n\n| Flow | 工具 | 输出表 |\n|------|------|--------|\n| subdomain_discovery | subfinder, amass, sublist3r, assetfinder, puredns | Subdomain |\n| port_scan | naabu | HostPortMapping |\n| site_scan | httpx | WebSite |\n| fingerprint_detect | xingfinger | WebSite.tech（更新） |\n| url_fetch | waymore, katana, uro, httpx | Endpoint |\n| directory_scan | ffuf | Directory |\n| screenshot | Playwright | Screenshot |\n| vuln_scan | dalfox, nuclei | SecurityFinding |\n" }, { "path": "docs/version-management.md", "content": "# XingRin - 星环 版本管理架构\n\n## 概述\n\nXingRin - 星环 采用基于 Git Tag 的自动化版本管理系统，确保所有组件（主服务器、远程 Worker）使用一致的版本，避免兼容性问题。\n\n## 核心原理\n\n### 版本号来源\n- **单一版本源**：Git Tag（如 `v1.1.0`）\n- **版本文件**：`VERSION` 文件由 CI 自动维护\n- **环境变量**：`IMAGE_TAG` 锁定运行时版本\n\n### 版本一致性保证\n```\nGit Tag → CI 构建镜像 → VERSION 文件 → IMAGE_TAG → 所有节点统一版本\n```\n\n## 完整发布流程\n\n```mermaid\ngraph TD\n A[开发完成] --> B[git commit & push]\n B --> C[git tag v1.1.0]\n C --> D[git push --tags]\n D --> E[GitHub Actions 触发]\n E --> F[构建 5 个镜像]\n F --> G[推送到 Docker Hub]\n G --> H[更新 VERSION 文件]\n H --> I[commit 回 main 分支]\n \n style E fill:#e1f5fe\n style F fill:#f3e5f5\n style G fill:#e8f5e8\n```\n\n### 镜像构建矩阵\n| 镜像 | 用途 | 标签 |\n|------|------|------|\n| `xingrin-server` | 主服务器 | `v1.1.0` + `latest` |\n| `xingrin-frontend` | 前端界面 | `v1.1.0` + `latest` |\n| `xingrin-nginx` | 反向代理 | `v1.1.0` + `latest` |\n| `xingrin-worker` | 任务执行 | `v1.1.0` + `latest` |\n| `xingrin-agent` | 心跳监控 | `v1.1.0` + `latest` |\n\n## 用户部署流程\n\n### 初始安装\n```mermaid\ngraph TD\n A[用户下载代码] --> B[sudo ./install.sh]\n B --> C[读取 VERSION 文件]\n C --> D[写入 docker/.env]\n D --> E[IMAGE_TAG=v1.1.0]\n E --> F[拉取对应版本镜像]\n F --> G[启动服务]\n \n style C fill:#fff3e0\n style E fill:#e8f5e8\n```\n\n### 版本更新\n```mermaid\ngraph TD\n A[./update.sh] --> B[git pull 拉取新代码]\n B --> C[读取新 VERSION 文件]\n C --> D[更新 IMAGE_TAG=v1.2.0]\n D --> E[重启服务]\n E --> F[使用新版本镜像]\n \n style C fill:#fff3e0\n style D fill:#e8f5e8\n```\n\n## 任务分发架构\n\n### 镜像版本管理\n```mermaid\ngraph LR\n A[主服务器] --> B[task_distributor]\n B --> C[本地 Worker]\n B --> D[远程 Worker 1]\n B --> E[远程 Worker N]\n \n F[settings.IMAGE_TAG] --> B\n B --> G[yyhuni/xingrin-worker:v1.1.0]\n G --> C\n G --> D\n G --> E\n \n style F fill:#e1f5fe\n style G fill:#f3e5f5\n```\n\n### 执行流程对比\n\n| 场景 | 镜像拉取策略 | 说明 |\n|------|-------------|------|\n| **本地 Worker** | `--pull=missing` | 主服务器本机执行，使用本地镜像 |\n| **远程 Worker** | `--pull=missing` | SSH 到远程执行，使用远程本地镜像 |\n\n## 镜像拉取策略\n\n### 安装时预拉取\n```bash\n# 主服务器安装\ndocker compose up -d # 拉取所有服务镜像\n\n# 远程 Worker 安装 \ndocker pull yyhuni/xingrin-worker:v1.1.0 # 预拉取 worker 镜像\n```\n\n### 执行时策略\n```bash\n# 任务执行时\ndocker run --pull=missing yyhuni/xingrin-worker:v1.1.0\n```\n\n**`--pull=missing` 行为**：\n- ✅ 本地有镜像 → 直接使用，不检查网络\n- ✅ 本地无镜像 → 从 Docker Hub 拉取\n- ✅ 版本更新后 → 自动拉取新版本\n\n## 版本同步机制\n\n### 主服务器更新\n```mermaid\nsequenceDiagram\n participant U as 用户\n participant S as 主服务器\n participant H as Docker Hub\n participant W as 远程 Worker\n \n U->>S: ./update.sh\n S->>S: git pull (新 VERSION)\n S->>S: IMAGE_TAG=v1.2.0\n S->>S: 重启服务\n \n Note over S: 分发任务时\n S->>W: SSH docker run worker:v1.2.0\n W->>H: 本地无 v1.2.0，拉取镜像\n H->>W: 返回 v1.2.0 镜像\n W->>W: 执行任务\n```\n\n### 版本一致性保证\n1. **主服务器**：`IMAGE_TAG` 锁定版本\n2. **远程 Worker**：按需拉取对应版本\n3. **自动同步**：update.sh 统一更新版本号\n\n## Agent 自动更新机制\n\n### 概述\n\nAgent 是运行在每个 Worker 节点上的轻量级心跳服务（~10MB），负责上报节点状态和负载信息。当主服务器更新后，Agent 需要同步更新以保持版本一致。\n\n### 版本检测流程\n\n```mermaid\nsequenceDiagram\n participant A as Agent\n participant S as Server\n participant H as Docker Hub\n \n A->>S: POST /api/workers/{id}/heartbeat/\n Note right of A: {\"cpu\": 50, \"mem\": 60, \"version\": \"v1.0.8\"}\n \n S->>S: 比较 agent_version vs IMAGE_TAG\n \n alt 版本匹配\n S->>A: {\"status\": \"ok\", \"need_update\": false}\n else 版本不匹配 (远程 Worker)\n S->>S: 设置状态为 updating\n S->>A: {\"status\": \"ok\", \"need_update\": true}\n S-->>H: SSH: docker pull agent:v1.0.19\n S-->>A: SSH: 重启 agent 容器\n else 版本不匹配 (本地 Worker)\n S->>S: 设置状态为 outdated\n S->>A: {\"status\": \"ok\", \"need_update\": true}\n Note over S: 需用户手动 ./update.sh\n end\n```\n\n### Worker 状态流转\n\n| 场景 | 状态变化 | 说明 |\n|------|---------|------|\n| 首次心跳 | `pending/deploying` → `online` | Agent 启动成功 |\n| 远程 Worker 版本不匹配 | `online` → `updating` → `online` | 服务端自动 SSH 更新 |\n| 远程 Worker 更新失败 | `updating` → `outdated` | SSH 执行失败 |\n| 本地 Worker 版本不匹配 | `online` → `outdated` | 需手动 update.sh |\n| 版本匹配 | `updating/outdated` → `online` | 恢复正常 |\n\n### 更新触发条件\n\n1. **远程 Worker**：服务端检测到版本不匹配时，自动通过 SSH 执行更新\n2. **本地 Worker**：用户执行 `./update.sh` 时，docker-compose 会拉取新镜像并重启\n\n### 防重复机制\n\n使用 Redis 锁防止同一 Worker 在 60 秒内重复触发更新：\n```\nlock_key = f\"agent_update_lock:{worker_id}\"\nredis.set(lock_key, \"1\", nx=True, ex=60)\n```\n\n### 相关文件\n\n| 文件 | 作用 |\n|------|------|\n| `backend/apps/engine/views/worker_views.py` | 心跳 API，版本检测和更新触发 |\n| `backend/scripts/worker-deploy/agent.sh` | Agent 心跳脚本，上报版本号 |\n| `backend/scripts/worker-deploy/start-agent.sh` | Agent 启动脚本 |\n| `docker/agent/Dockerfile` | Agent 镜像构建，注入 IMAGE_TAG |\n\n## 开发环境配置\n\n### 本地开发测试\n```bash\n# docker/.env 中添加（开发模式会自动设置）\nTASK_EXECUTOR_IMAGE=docker-worker:v1.1.0-dev # 指向本地构建镜像\n```\n\n### 开发模式启动\n```bash\n# 使用本地构建镜像（自动构建并标记为 ${VERSION}-dev）\n./install.sh --dev\n./start.sh --dev\n```\n\n## 配置文件说明\n\n### VERSION 文件\n```\nv1.1.0\n```\n- 由 CI 自动维护\n- 用户安装时读取此文件\n\n### docker/.env\n```bash\nIMAGE_TAG=v1.1.0 # 锁定版本\nTASK_EXECUTOR_IMAGE= # 可选：覆盖镜像名\n```\n\n### settings.py 逻辑\n```python\nif IMAGE_TAG:\n # 主服务器：构建镜像名\n TASK_EXECUTOR_IMAGE = f'{DOCKER_USER}/xingrin-worker:{IMAGE_TAG}'\nelse:\n # Worker 容器：不需要此配置\n TASK_EXECUTOR_IMAGE = ''\n```\n\n## Agent 自动更新机制\n\n### 概述\n\nAgent 是运行在每个 Worker 节点上的轻量级心跳服务，负责上报节点状态和负载信息。当主服务器更新后，Agent 需要同步更新以保持版本一致。\n\n### 版本检测流程\n\n### 版本不一致问题\n**症状**：任务执行失败，兼容性错误\n\n**排查**：\n```bash\n# 检查主服务器版本\ncat VERSION\ngrep IMAGE_TAG docker/.env\n\n# 检查远程 Worker 镜像\nssh worker_host \"docker images | grep xingrin-worker\"\n```\n\n**解决**：\n```bash\n# 主服务器更新\n./update.sh\n\n# 远程 Worker 会自动拉取新版本（下次任务执行时）\n```\n\n### 镜像拉取失败\n**症状**：`docker run` 报错，无法拉取镜像\n\n**排查**：\n```bash\n# 检查网络连接\ndocker pull yyhuni/xingrin-worker:v1.1.0\n\n# 检查版本是否存在\ncurl -s https://hub.docker.com/v2/repositories/yyhuni/xingrin-worker/tags/\n```\n\n## 最佳实践\n\n### 版本发布\n1. ✅ 严格遵循语义化版本（v1.2.3）\n2. ✅ 有改动必须更新版本号\n3. ✅ 通过 CI 自动构建，不手动推送\n4. ✅ 测试版本使用 `-dev.x` 后缀\n\n### 部署运维\n1. ✅ 定期执行 `./update.sh` 获取更新\n2. ✅ 监控 Docker Hub 镜像拉取状态\n3. ✅ 备份重要配置文件（.env）\n4. ✅ 使用 `docker system prune` 清理旧镜像\n\n### 开发调试\n1. ✅ 本地测试使用 `--dev` 模式（自动构建 `docker-worker:${VERSION}-dev`）\n2. ✅ 远程测试先推送测试版本到 Hub\n3. ✅ 生产环境避免使用 `latest` 标签，始终使用明确版本号\n4. ✅ 开发环境使用 `-dev` 后缀区分开发版本\n5. ✅ 版本回滚通过修改 `IMAGE_TAG` 实现" }, { "path": "docs/wordlist-architecture.md", "content": "# 字典文件管理架构\n\n本文档介绍 XingRin 中字典文件的存储、同步和使用机制。\n\n## 目录结构\n\n```\n/opt/xingrin/wordlists/\n├── common.txt # 通用字典\n├── subdomains.txt # 子域名字典\n├── directories.txt # 目录字典\n└── ...\n```\n\n## 一、存储位置\n\n| 配置项 | 默认值 | 说明 |\n|--------|--------|------|\n| `WORDLISTS_BASE_PATH` | `/opt/xingrin/wordlists` | 字典文件存储目录 |\n\n## 二、数据模型\n\n```\nWordlist\n├── id # 字典 ID\n├── name # 字典名称（唯一，用于查询）\n├── description # 描述\n├── file_path # 文件绝对路径\n├── file_size # 文件大小（字节）\n├── line_count # 行数\n└── file_hash # SHA256 哈希值（用于校验）\n```\n\n## 三、Server 端上传流程\n\n1. 用户在前端上传字典文件\n2. `WordlistService.create_wordlist()` 处理：\n - 保存文件到 `WORDLISTS_BASE_PATH` 目录\n - 计算 SHA256 哈希值\n - 统计文件大小和行数\n - 创建数据库记录\n\n```mermaid\nflowchart TB\n subgraph SERVER[\"🖥️ Server 容器\"]\n direction TB\n \n subgraph UI[\"前端 UI\"]\n direction LR\n UPLOAD[\"📤 上传字典
选择文件\"]\n EDIT[\"✏️ 编辑内容
在线修改\"]\n DELETE[\"🗑️ 删除字典\"]\n end\n \n UPLOAD --> API\n EDIT --> API\n \n subgraph API[\"API 层\"]\n VIEWSET[\"WordlistViewSet
POST /api/wordlists/
PUT .../content/\"]\n end\n \n API --> SERVICE\n \n subgraph SERVICE[\"业务逻辑层\"]\n CREATE[\"create_wordlist()
创建字典\"]\n UPDATE[\"update_wordlist_content()
更新字典内容\"]\n end\n \n CREATE --> PROCESS\n UPDATE --> PROCESS\n \n subgraph PROCESS[\"处理流程\"]\n direction TB\n STEP1[\"1️⃣ 保存文件到
/opt/xingrin/wordlists/\"]\n STEP2[\"2️⃣ 计算 SHA256 哈希值\"]\n STEP3[\"3️⃣ 统计文件大小和行数\"]\n STEP4[\"4️⃣ 创建/更新数据库记录\"]\n \n STEP1 --> STEP2\n STEP2 --> STEP3\n STEP3 --> STEP4\n end\n \n STEP4 --> DB\n STEP1 --> FS\n \n subgraph DB[\"💾 PostgreSQL 数据库\"]\n DBRECORD[\"INSERT INTO wordlist
name: 'subdomains'
file_path: '/opt/xingrin/wordlists/subdomains.txt'
file_size: 1024000
line_count: 50000
file_hash: 'sha256...'\"]\n end\n \n subgraph FS[\"📁 文件系统\"]\n FILES[\"/opt/xingrin/wordlists/
├── common.txt
├── subdomains.txt
└── directories.txt\"]\n end\n end\n \n style SERVER fill:#e6f3ff\n style UI fill:#fff4e6\n style API fill:#f0f0f0\n style SERVICE fill:#d4edda\n style PROCESS fill:#ffe6f0\n style DB fill:#cce5ff\n style FS fill:#e2e3e5\n```\n\n## 四、Worker 端获取流程\n\nWorker 执行扫描任务时，通过 `ensure_wordlist_local()` 获取字典：\n\n1. 根据字典名称查询数据库，获取 `file_path` 和 `file_hash`\n2. 检查本地是否存在字典文件\n - 存在且 hash 匹配：直接使用\n - 存在但 hash 不匹配：重新下载\n - 不存在：从 Server API 下载\n3. 下载地址：`GET /api/wordlists/download/?wordlist=`\n4. 返回本地字典文件路径\n\n```mermaid\nflowchart TB\n subgraph WORKER[\"🔧 Worker 容器\"]\n direction TB\n \n START[\"🎯 扫描任务
需要字典\"]\n \n START --> ENSURE\n \n ENSURE[\"ensure_wordlist_local()
参数: wordlist_name\"]\n \n ENSURE --> QUERY\n \n QUERY[\"📊 查询 PostgreSQL
获取 file_path, file_hash\"]\n \n QUERY --> CHECK\n \n CHECK{\"🔍 检查本地文件
/opt/xingrin/wordlists/\"}\n \n CHECK -->|不存在| DOWNLOAD\n CHECK -->|存在| HASH\n \n HASH[\"🔐 计算本地文件 SHA256
与数据库 hash 比较\"]\n \n HASH -->|一致| USE\n HASH -->|不一致| DOWNLOAD\n \n DOWNLOAD[\"📥 从 Server API 下载
GET /api/wordlists/download/?wordlist=name\"]\n \n DOWNLOAD --> SERVER\n \n SERVER[\"🌐 HTTP Request\"]\n \n SERVER -.请求.-> API[\"Server (Django)
返回文件内容\"]\n API -.响应.-> SERVER\n \n SERVER --> SAVE\n \n SAVE[\"💾 保存到本地
/opt/xingrin/wordlists/filename\"]\n \n SAVE --> RETURN\n \n USE[\"✅ 直接使用\"] --> RETURN\n \n RETURN[\"📂 返回本地字典文件路径
/opt/xingrin/wordlists/subdomains.txt\"]\n \n RETURN --> EXEC\n \n EXEC[\"🚀 执行扫描工具
puredns bruteforce -w /opt/xingrin/wordlists/xxx.txt\"]\n end\n \n style WORKER fill:#e6f3ff\n style START fill:#fff4e6\n style CHECK fill:#ffe6f0\n style HASH fill:#ffe6f0\n style USE fill:#d4edda\n style DOWNLOAD fill:#f8d7da\n style RETURN fill:#d4edda\n style EXEC fill:#cce5ff\n```\n\n## 五、Hash 校验机制\n\n- 上传时计算 SHA256 并存入数据库\n- Worker 使用前校验本地文件 hash\n- 不匹配时自动重新下载\n- 确保所有节点使用相同内容的字典\n\n## 六、本地 Worker vs 远程 Worker\n\n本地 Worker 和远程 Worker 获取字典的方式相同：\n\n1. 从数据库查询字典元数据（file_hash）\n2. 检查本地缓存是否存在且 hash 匹配\n3. 不匹配则通过 HTTP API 下载\n\n**注意**：Worker 容器只挂载了 `results` 和 `logs` 目录，没有挂载 `wordlists` 目录，所以字典文件需要通过 API 下载。\n\n```mermaid\nsequenceDiagram\n participant W as Worker (本地/远程)\n participant DB as PostgreSQL\n participant S as Server API\n participant FS as 本地缓存\n \n W->>DB: 1️⃣ 查询数据库获取 file_hash\n DB-->>W: 返回 file_hash\n \n W->>FS: 2️⃣ 检查本地缓存\n \n alt 存在且 hash 匹配\n FS-->>W: ✅ 直接使用\n else 不存在或不匹配\n W->>S: 3️⃣ GET /api/wordlists/download/\n S-->>W: 4️⃣ 返回文件内容\n W->>FS: 5️⃣ 保存到本地缓存
/opt/xingrin/wordlists/\n FS-->>W: ✅ 使用缓存文件\n end\n \n Note over W,FS: 本地 Worker 优势：
• 网络延迟更低（容器内网络）
• 缓存可复用（同一宿主机多次任务）\n```\n\n### 本地 Worker 的优势\n\n虽然获取方式相同，但本地 Worker 有以下优势：\n- 网络延迟更低（容器内网络）\n- 下载后的缓存可复用（同一宿主机上的多次任务）\n\n## 七、配置项\n\n在 `docker/.env` 或环境变量中配置：\n\n```bash\n# 字典文件存储目录\nWORDLISTS_PATH=/opt/xingrin/wordlists\n\n# Server 地址（Worker 用于下载文件）\nPUBLIC_HOST=your-server-ip # 远程 Worker 会通过 https://{PUBLIC_HOST}/api 访问\nSERVER_PORT=8888 # 后端容器内部端口，仅 Docker 内网监听\n```\n\n## 八、常见问题\n\n### Q: 字典文件更新后 Worker 没有使用新版本？\n\nA: 更新字典内容后会重新计算 hash，Worker 下次使用时会检测到 hash 不匹配并重新下载。\n\n### Q: 远程 Worker 下载文件失败？\n\nA: 检查：\n1. `PUBLIC_HOST` 是否配置为 Server 的外网 IP 或域名\n2. Nginx 8083 (HTTPS) 是否可达（远程 Worker 通过 nginx 访问后端）\n3. Worker 到 Server 的网络是否通畅\n\n### Q: 如何批量导入字典？\n\nA: 目前只支持通过前端逐个上传，后续可能支持批量导入功能。\n" }, { "path": "frontend/.gitignore", "content": "# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.\n\n# dependencies\n/node_modules\n/.pnp\n.pnp.*\n.yarn/*\n!.yarn/patches\n!.yarn/plugins\n!.yarn/releases\n!.yarn/versions\n\n# testing\n/coverage\n\n# next.js\n/.next/\n/out/\n\n# production\n/build\n\n# misc\n.DS_Store\n*.pem\n\n# debug\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\n.pnpm-debug.log*\n\n# env files (can opt-in for committing if needed)\n.env*\n\n# vercel\n.vercel\n\n# typescript\n*.tsbuildinfo\nnext-env.d.ts\n\ncertificates" }, { "path": "frontend/app/[locale]/dashboard/data.json", "content": "[\n {\n \"id\": 1,\n \"header\": \"Cover page\",\n \"type\": \"Cover page\",\n \"status\": \"In Process\",\n \"target\": \"18\",\n \"limit\": \"5\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 2,\n \"header\": \"Table of contents\",\n \"type\": \"Table of contents\",\n \"status\": \"Done\",\n \"target\": \"29\",\n \"limit\": \"24\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 3,\n \"header\": \"Executive summary\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"10\",\n \"limit\": \"13\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 4,\n \"header\": \"Technical approach\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"27\",\n \"limit\": \"23\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 5,\n \"header\": \"Design\",\n \"type\": \"Narrative\",\n \"status\": \"In Process\",\n \"target\": \"2\",\n \"limit\": \"16\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 6,\n \"header\": \"Capabilities\",\n \"type\": \"Narrative\",\n \"status\": \"In Process\",\n \"target\": \"20\",\n \"limit\": \"8\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 7,\n \"header\": \"Integration with existing systems\",\n \"type\": \"Narrative\",\n \"status\": \"In Process\",\n \"target\": \"19\",\n \"limit\": \"21\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 8,\n \"header\": \"Innovation and Advantages\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"25\",\n \"limit\": \"26\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 9,\n \"header\": \"Overview of EMR's Innovative Solutions\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"7\",\n \"limit\": \"23\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 10,\n \"header\": \"Advanced Algorithms and Machine Learning\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"30\",\n \"limit\": \"28\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 11,\n \"header\": \"Adaptive Communication Protocols\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"9\",\n \"limit\": \"31\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 12,\n \"header\": \"Advantages Over Current Technologies\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"12\",\n \"limit\": \"0\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 13,\n \"header\": \"Past Performance\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"22\",\n \"limit\": \"33\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 14,\n \"header\": \"Customer Feedback and Satisfaction Levels\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"15\",\n \"limit\": \"34\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 15,\n \"header\": \"Implementation Challenges and Solutions\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"3\",\n \"limit\": \"35\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 16,\n \"header\": \"Security Measures and Data Protection Policies\",\n \"type\": \"Narrative\",\n \"status\": \"In Process\",\n \"target\": \"6\",\n \"limit\": \"36\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 17,\n \"header\": \"Scalability and Future Proofing\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"4\",\n \"limit\": \"37\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 18,\n \"header\": \"Cost-Benefit Analysis\",\n \"type\": \"Plain language\",\n \"status\": \"Done\",\n \"target\": \"14\",\n \"limit\": \"38\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 19,\n \"header\": \"User Training and Onboarding Experience\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"17\",\n \"limit\": \"39\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 20,\n \"header\": \"Future Development Roadmap\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"11\",\n \"limit\": \"40\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 21,\n \"header\": \"System Architecture Overview\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"24\",\n \"limit\": \"18\",\n \"reviewer\": \"Maya Johnson\"\n },\n {\n \"id\": 22,\n \"header\": \"Risk Management Plan\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"15\",\n \"limit\": \"22\",\n \"reviewer\": \"Carlos Rodriguez\"\n },\n {\n \"id\": 23,\n \"header\": \"Compliance Documentation\",\n \"type\": \"Legal\",\n \"status\": \"In Process\",\n \"target\": \"31\",\n \"limit\": \"27\",\n \"reviewer\": \"Sarah Chen\"\n },\n {\n \"id\": 24,\n \"header\": \"API Documentation\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"8\",\n \"limit\": \"12\",\n \"reviewer\": \"Raj Patel\"\n },\n {\n \"id\": 25,\n \"header\": \"User Interface Mockups\",\n \"type\": \"Visual\",\n \"status\": \"In Process\",\n \"target\": \"19\",\n \"limit\": \"25\",\n \"reviewer\": \"Leila Ahmadi\"\n },\n {\n \"id\": 26,\n \"header\": \"Database Schema\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"22\",\n \"limit\": \"20\",\n \"reviewer\": \"Thomas Wilson\"\n },\n {\n \"id\": 27,\n \"header\": \"Testing Methodology\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"17\",\n \"limit\": \"14\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 28,\n \"header\": \"Deployment Strategy\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"26\",\n \"limit\": \"30\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 29,\n \"header\": \"Budget Breakdown\",\n \"type\": \"Financial\",\n \"status\": \"In Process\",\n \"target\": \"13\",\n \"limit\": \"16\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 30,\n \"header\": \"Market Analysis\",\n \"type\": \"Research\",\n \"status\": \"Done\",\n \"target\": \"29\",\n \"limit\": \"32\",\n \"reviewer\": \"Sophia Martinez\"\n },\n {\n \"id\": 31,\n \"header\": \"Competitor Comparison\",\n \"type\": \"Research\",\n \"status\": \"In Process\",\n \"target\": \"21\",\n \"limit\": \"19\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 32,\n \"header\": \"Maintenance Plan\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"16\",\n \"limit\": \"23\",\n \"reviewer\": \"Alex Thompson\"\n },\n {\n \"id\": 33,\n \"header\": \"User Personas\",\n \"type\": \"Research\",\n \"status\": \"In Process\",\n \"target\": \"27\",\n \"limit\": \"24\",\n \"reviewer\": \"Nina Patel\"\n },\n {\n \"id\": 34,\n \"header\": \"Accessibility Compliance\",\n \"type\": \"Legal\",\n \"status\": \"Done\",\n \"target\": \"18\",\n \"limit\": \"21\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 35,\n \"header\": \"Performance Metrics\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"23\",\n \"limit\": \"26\",\n \"reviewer\": \"David Kim\"\n },\n {\n \"id\": 36,\n \"header\": \"Disaster Recovery Plan\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"14\",\n \"limit\": \"17\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 37,\n \"header\": \"Third-party Integrations\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"25\",\n \"limit\": \"28\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 38,\n \"header\": \"User Feedback Summary\",\n \"type\": \"Research\",\n \"status\": \"Done\",\n \"target\": \"20\",\n \"limit\": \"15\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 39,\n \"header\": \"Localization Strategy\",\n \"type\": \"Narrative\",\n \"status\": \"In Process\",\n \"target\": \"12\",\n \"limit\": \"19\",\n \"reviewer\": \"Maria Garcia\"\n },\n {\n \"id\": 40,\n \"header\": \"Mobile Compatibility\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"28\",\n \"limit\": \"31\",\n \"reviewer\": \"James Wilson\"\n },\n {\n \"id\": 41,\n \"header\": \"Data Migration Plan\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"19\",\n \"limit\": \"22\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 42,\n \"header\": \"Quality Assurance Protocols\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"30\",\n \"limit\": \"33\",\n \"reviewer\": \"Priya Singh\"\n },\n {\n \"id\": 43,\n \"header\": \"Stakeholder Analysis\",\n \"type\": \"Research\",\n \"status\": \"In Process\",\n \"target\": \"11\",\n \"limit\": \"14\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 44,\n \"header\": \"Environmental Impact Assessment\",\n \"type\": \"Research\",\n \"status\": \"Done\",\n \"target\": \"24\",\n \"limit\": \"27\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 45,\n \"header\": \"Intellectual Property Rights\",\n \"type\": \"Legal\",\n \"status\": \"In Process\",\n \"target\": \"17\",\n \"limit\": \"20\",\n \"reviewer\": \"Sarah Johnson\"\n },\n {\n \"id\": 46,\n \"header\": \"Customer Support Framework\",\n \"type\": \"Narrative\",\n \"status\": \"Done\",\n \"target\": \"22\",\n \"limit\": \"25\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 47,\n \"header\": \"Version Control Strategy\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"15\",\n \"limit\": \"18\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 48,\n \"header\": \"Continuous Integration Pipeline\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"26\",\n \"limit\": \"29\",\n \"reviewer\": \"Michael Chen\"\n },\n {\n \"id\": 49,\n \"header\": \"Regulatory Compliance\",\n \"type\": \"Legal\",\n \"status\": \"In Process\",\n \"target\": \"13\",\n \"limit\": \"16\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 50,\n \"header\": \"User Authentication System\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"28\",\n \"limit\": \"31\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 51,\n \"header\": \"Data Analytics Framework\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"21\",\n \"limit\": \"24\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 52,\n \"header\": \"Cloud Infrastructure\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"16\",\n \"limit\": \"19\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 53,\n \"header\": \"Network Security Measures\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"29\",\n \"limit\": \"32\",\n \"reviewer\": \"Lisa Wong\"\n },\n {\n \"id\": 54,\n \"header\": \"Project Timeline\",\n \"type\": \"Planning\",\n \"status\": \"Done\",\n \"target\": \"14\",\n \"limit\": \"17\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 55,\n \"header\": \"Resource Allocation\",\n \"type\": \"Planning\",\n \"status\": \"In Process\",\n \"target\": \"27\",\n \"limit\": \"30\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 56,\n \"header\": \"Team Structure and Roles\",\n \"type\": \"Planning\",\n \"status\": \"Done\",\n \"target\": \"20\",\n \"limit\": \"23\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 57,\n \"header\": \"Communication Protocols\",\n \"type\": \"Planning\",\n \"status\": \"In Process\",\n \"target\": \"15\",\n \"limit\": \"18\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 58,\n \"header\": \"Success Metrics\",\n \"type\": \"Planning\",\n \"status\": \"Done\",\n \"target\": \"30\",\n \"limit\": \"33\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 59,\n \"header\": \"Internationalization Support\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"23\",\n \"limit\": \"26\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 60,\n \"header\": \"Backup and Recovery Procedures\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"18\",\n \"limit\": \"21\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 61,\n \"header\": \"Monitoring and Alerting System\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"25\",\n \"limit\": \"28\",\n \"reviewer\": \"Daniel Park\"\n },\n {\n \"id\": 62,\n \"header\": \"Code Review Guidelines\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"12\",\n \"limit\": \"15\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 63,\n \"header\": \"Documentation Standards\",\n \"type\": \"Technical content\",\n \"status\": \"In Process\",\n \"target\": \"27\",\n \"limit\": \"30\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 64,\n \"header\": \"Release Management Process\",\n \"type\": \"Planning\",\n \"status\": \"Done\",\n \"target\": \"22\",\n \"limit\": \"25\",\n \"reviewer\": \"Assign reviewer\"\n },\n {\n \"id\": 65,\n \"header\": \"Feature Prioritization Matrix\",\n \"type\": \"Planning\",\n \"status\": \"In Process\",\n \"target\": \"19\",\n \"limit\": \"22\",\n \"reviewer\": \"Emma Davis\"\n },\n {\n \"id\": 66,\n \"header\": \"Technical Debt Assessment\",\n \"type\": \"Technical content\",\n \"status\": \"Done\",\n \"target\": \"24\",\n \"limit\": \"27\",\n \"reviewer\": \"Eddie Lake\"\n },\n {\n \"id\": 67,\n \"header\": \"Capacity Planning\",\n \"type\": \"Planning\",\n \"status\": \"In Process\",\n \"target\": \"21\",\n \"limit\": \"24\",\n \"reviewer\": \"Jamik Tashpulatov\"\n },\n {\n \"id\": 68,\n \"header\": \"Service Level Agreements\",\n \"type\": \"Legal\",\n \"status\": \"Done\",\n \"target\": \"26\",\n \"limit\": \"29\",\n \"reviewer\": \"Assign reviewer\"\n }\n]\n" }, { "path": "frontend/app/[locale]/dashboard/page.tsx", "content": "import { DashboardStatCards } from \"@/components/dashboard/dashboard-stat-cards\"\nimport { AssetTrendChart } from \"@/components/dashboard/asset-trend-chart\"\nimport { VulnSeverityChart } from \"@/components/dashboard/vuln-severity-chart\"\nimport { DashboardDataTable } from \"@/components/dashboard/dashboard-data-table\"\n\n/**\n * Dashboard page component\n * This is the main dashboard page of the application, containing cards, charts and data tables\n * Layout structure has been moved to the root layout component\n */\nexport default function Page() {\n return (\n // Content area containing cards, charts and data tables\n
\n {/* Top statistics cards */}\n \n\n {/* Chart area - Trend chart + Vulnerability distribution */}\n
\n {/* Asset trend line chart */}\n \n\n {/* Vulnerability severity distribution */}\n \n
\n\n {/* Vulnerabilities / Scan history tab */}\n
\n \n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/layout.tsx", "content": "import type React from \"react\"\nimport type { Metadata } from \"next\"\nimport { NextIntlClientProvider } from 'next-intl'\nimport { getMessages, setRequestLocale, getTranslations } from 'next-intl/server'\nimport { notFound } from 'next/navigation'\nimport { locales, localeHtmlLang, type Locale } from '@/i18n/config'\n\n// Import global style files\nimport \"../globals.css\"\n// Import Noto Sans SC local font\nimport \"@fontsource/noto-sans-sc/400.css\"\nimport \"@fontsource/noto-sans-sc/500.css\"\nimport \"@fontsource/noto-sans-sc/700.css\"\n// Import color themes\nimport \"@/styles/themes/bubblegum.css\"\nimport \"@/styles/themes/quantum-rose.css\"\nimport \"@/styles/themes/clean-slate.css\"\nimport \"@/styles/themes/cosmic-night.css\"\nimport \"@/styles/themes/vercel.css\"\nimport \"@/styles/themes/vercel-dark.css\"\nimport \"@/styles/themes/violet-bloom.css\"\nimport \"@/styles/themes/cyberpunk-1.css\"\nimport { Suspense } from \"react\"\nimport Script from \"next/script\"\nimport { QueryProvider } from \"@/components/providers/query-provider\"\nimport { ThemeProvider } from \"@/components/providers/theme-provider\"\nimport { UiI18nProvider } from \"@/components/providers/ui-i18n-provider\"\n\n// Import common layout components\nimport { RoutePrefetch } from \"@/components/route-prefetch\"\nimport { RouteProgress } from \"@/components/route-progress\"\nimport { AuthLayout } from \"@/components/auth/auth-layout\"\n\n// Dynamically generate metadata\nexport async function generateMetadata({ params }: { params: Promise<{ locale: string }> }): Promise {\n const { locale } = await params\n const t = await getTranslations({ locale, namespace: 'metadata' })\n \n return {\n title: t('title'),\n description: t('description'),\n keywords: t('keywords').split(',').map(k => k.trim()),\n generator: \"Xingrin ASM Platform\",\n authors: [{ name: \"yyhuni\" }],\n openGraph: {\n title: t('ogTitle'),\n description: t('ogDescription'),\n type: \"website\",\n locale: locale === 'zh' ? 'zh_CN' : 'en_US',\n },\n robots: {\n index: true,\n follow: true,\n },\n }\n}\n\n// Use Noto Sans SC + system font fallback, fully loaded locally\nconst fontConfig = {\n className: \"font-sans\",\n style: {\n fontFamily: \"'Noto Sans SC', system-ui, -apple-system, PingFang SC, Hiragino Sans GB, Microsoft YaHei, sans-serif\"\n }\n}\n\n// Generate static parameters, support all languages\nexport function generateStaticParams() {\n return locales.map((locale) => ({ locale }))\n}\n\ninterface Props {\n children: React.ReactNode\n params: Promise<{ locale: string }>\n}\n\n/**\n * Language layout component\n * Wraps all pages, provides internationalization context\n */\nexport default async function LocaleLayout({\n children,\n params,\n}: Props) {\n const { locale } = await params\n\n // Validate locale validity\n if (!locales.includes(locale as Locale)) {\n notFound()\n }\n\n // Enable static rendering\n setRequestLocale(locale)\n\n // Load translation messages\n const messages = await getMessages()\n\n return (\n \n \n {/* Load external scripts */}\n \n {/* Route loading progress bar */}\n \n \n \n {/* ThemeProvider provides theme switching functionality */}\n \n {/* NextIntlClientProvider provides internationalization context */}\n \n {/* QueryProvider provides React Query functionality */}\n \n {/* UiI18nProvider provides UI component translations */}\n \n {/* Route prefetch */}\n \n {/* AuthLayout handles authentication and sidebar display */}\n \n {children}\n \n \n \n \n \n \n \n )\n}\n" }, { "path": "frontend/app/[locale]/login/layout.tsx", "content": "import type { Metadata } from \"next\"\nimport { getTranslations } from \"next-intl/server\"\n\ntype Props = {\n params: Promise<{ locale: string }>\n}\n\nexport async function generateMetadata({ params }: Props): Promise {\n const { locale } = await params\n const t = await getTranslations({ locale, namespace: \"auth\" })\n\n return {\n title: t(\"pageTitle\"),\n description: t(\"pageDescription\"),\n }\n}\n\n/**\n * Login page layout\n * Does not include sidebar and header\n */\nexport default function LoginLayout({\n children,\n}: {\n children: React.ReactNode\n}) {\n return children\n}\n" }, { "path": "frontend/app/[locale]/login/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useRouter } from \"next/navigation\"\nimport { useTranslations } from \"next-intl\"\nimport Lottie from \"lottie-react\"\nimport securityAnimation from \"@/public/animations/Security000-Purple.json\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Card, CardContent } from \"@/components/ui/card\"\nimport {\n Field,\n FieldGroup,\n FieldLabel,\n} from \"@/components/ui/field\"\nimport { Spinner } from \"@/components/ui/spinner\"\nimport { useLogin, useAuth } from \"@/hooks/use-auth\"\nimport { useRoutePrefetch } from \"@/hooks/use-route-prefetch\"\n\nexport default function LoginPage() {\n // Preload all page components on login page\n useRoutePrefetch()\n const router = useRouter()\n const { data: auth, isLoading: authLoading } = useAuth()\n const { mutate: login, isPending } = useLogin()\n const t = useTranslations(\"auth\")\n \n const [username, setUsername] = React.useState(\"\")\n const [password, setPassword] = React.useState(\"\")\n\n // If already logged in, redirect to dashboard\n React.useEffect(() => {\n if (auth?.authenticated) {\n router.push(\"/dashboard/\")\n }\n }, [auth, router])\n\n const handleSubmit = (e: React.FormEvent) => {\n e.preventDefault()\n login({ username, password })\n }\n\n // Show spinner while loading\n if (authLoading) {\n return (\n
\n \n

loading...

\n
\n )\n }\n\n // Don't show login page if already logged in\n if (auth?.authenticated) {\n return null\n }\n\n return (\n
\n {/* Main content area */}\n
\n
\n \n \n \n \n {/* Fingerprint identifier - for FOFA/Shodan and other search engines to identify */}\n \n
\n

{t(\"title\")}

\n

\n {t(\"subtitle\")}\n

\n
\n \n {t(\"username\")}\n setUsername(e.target.value)}\n required\n autoFocus\n />\n \n \n {t(\"password\")}\n setPassword(e.target.value)}\n required\n />\n \n \n \n \n \n \n \n \n \n
\n
\n \n {/* Version number - fixed at the bottom of the page */}\n
\n

\n {process.env.NEXT_PUBLIC_VERSION || 'dev'}\n

\n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/organization/[id]/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { OrganizationDetailView } from \"@/components/organization/organization-detail-view\"\n\n/**\n * Organization detail page\n * Displays organization statistics and asset list\n */\nexport default function OrganizationDetailPage({\n params,\n}: {\n params: Promise<{ id: string }>\n}) {\n const resolvedParams = React.use(params)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/organization/page.tsx", "content": "\"use client\"\n\n// Import organization management component\nimport { OrganizationList } from \"@/components/organization/organization-list\"\n// Import icons\nimport { Building2 } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\n\n/**\n * Organization management page\n * Sub-page under asset management that displays organization list and related operations\n */\nexport default function OrganizationPage() {\n const t = useTranslations(\"pages.organization\")\n\n return (\n // Content area containing organization management features\n
\n {/* Page header */}\n
\n
\n

\n \n {t(\"title\")}\n

\n

\n {t(\"description\")}\n

\n
\n
\n\n {/* Organization list component */}\n
\n \n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/page.tsx", "content": "import { redirect } from 'next/navigation';\nimport { defaultLocale } from '@/i18n/config';\n\nexport default function Home() {\n // Redirect directly to dashboard page (with language prefix)\n redirect(`/${defaultLocale}/dashboard/`);\n}\n" }, { "path": "frontend/app/[locale]/scan/engine/page.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { Settings, Search, Pencil, Trash2, Check, X, Plus } from \"lucide-react\"\nimport * as yaml from \"js-yaml\"\nimport Editor from \"@monaco-editor/react\"\nimport { useTranslations } from \"next-intl\"\nimport { useColorTheme } from \"@/hooks/use-color-theme\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { ScrollArea } from \"@/components/ui/scroll-area\"\nimport { Separator } from \"@/components/ui/separator\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { EngineEditDialog, EngineCreateDialog } from \"@/components/scan/engine\"\nimport { useEngines, useCreateEngine, useUpdateEngine, useDeleteEngine } from \"@/hooks/use-engines\"\nimport { cn } from \"@/lib/utils\"\nimport type { ScanEngine } from \"@/types/engine.types\"\nimport { MasterDetailSkeleton } from \"@/components/ui/master-detail-skeleton\"\n\n/** Feature configuration item definition - corresponds to YAML configuration structure */\nconst FEATURE_LIST = [\n { key: \"subdomain_discovery\" },\n { key: \"port_scan\" },\n { key: \"site_scan\" },\n { key: \"fingerprint_detect\" },\n { key: \"directory_scan\" },\n { key: \"screenshot\" },\n { key: \"url_fetch\" },\n { key: \"vuln_scan\" },\n] as const\n\ntype FeatureKey = typeof FEATURE_LIST[number][\"key\"]\n\n/** Parse engine configuration to get enabled features */\nfunction parseEngineFeatures(engine: ScanEngine): Record {\n const defaultFeatures: Record = {\n subdomain_discovery: false,\n port_scan: false,\n site_scan: false,\n fingerprint_detect: false,\n directory_scan: false,\n screenshot: false,\n url_fetch: false,\n vuln_scan: false,\n }\n\n if (!engine.configuration) return defaultFeatures\n\n try {\n const config = yaml.load(engine.configuration) as Record\n if (!config) return defaultFeatures\n\n return {\n subdomain_discovery: !!config.subdomain_discovery,\n port_scan: !!config.port_scan,\n site_scan: !!config.site_scan,\n fingerprint_detect: !!config.fingerprint_detect,\n directory_scan: !!config.directory_scan,\n screenshot: !!config.screenshot,\n url_fetch: !!config.url_fetch,\n vuln_scan: !!config.vuln_scan,\n }\n } catch {\n return defaultFeatures\n }\n}\n\n/** Calculate the number of enabled features */\nfunction countEnabledFeatures(engine: ScanEngine) {\n const features = parseEngineFeatures(engine)\n return Object.values(features).filter(Boolean).length\n}\n\n/**\n * Scan engine page\n */\nexport default function ScanEnginePage() {\n const [selectedId, setSelectedId] = useState(null)\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [editingEngine, setEditingEngine] = useState(null)\n const [isEditDialogOpen, setIsEditDialogOpen] = useState(false)\n const [isCreateDialogOpen, setIsCreateDialogOpen] = useState(false)\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [engineToDelete, setEngineToDelete] = useState(null)\n\n const { currentTheme } = useColorTheme()\n \n // Internationalization\n const tCommon = useTranslations(\"common\")\n const tConfirm = useTranslations(\"common.confirm\")\n const tNav = useTranslations(\"navigation\")\n const tEngine = useTranslations(\"scan.engine\")\n\n // API Hooks\n const { data: engines = [], isLoading } = useEngines()\n const createEngineMutation = useCreateEngine()\n const updateEngineMutation = useUpdateEngine()\n const deleteEngineMutation = useDeleteEngine()\n\n // Filter engine list\n const filteredEngines = useMemo(() => {\n if (!searchQuery.trim()) return engines\n const query = searchQuery.toLowerCase()\n return engines.filter((e) => e.name.toLowerCase().includes(query))\n }, [engines, searchQuery])\n\n // Selected engine\n const selectedEngine = useMemo(() => {\n if (!selectedId) return null\n return engines.find((e) => e.id === selectedId) || null\n }, [selectedId, engines])\n\n // Selected engine's feature status\n const selectedFeatures = useMemo(() => {\n if (!selectedEngine) return null\n return parseEngineFeatures(selectedEngine)\n }, [selectedEngine])\n\n const handleEdit = (engine: ScanEngine) => {\n setEditingEngine(engine)\n setIsEditDialogOpen(true)\n }\n\n const handleSaveYaml = async (engineId: number, yamlContent: string) => {\n await updateEngineMutation.mutateAsync({\n id: engineId,\n data: { configuration: yamlContent },\n })\n }\n\n const handleDelete = (engine: ScanEngine) => {\n setEngineToDelete(engine)\n setDeleteDialogOpen(true)\n }\n\n const confirmDelete = () => {\n if (!engineToDelete) return\n deleteEngineMutation.mutate(engineToDelete.id, {\n onSuccess: () => {\n if (selectedId === engineToDelete.id) {\n setSelectedId(null)\n }\n setDeleteDialogOpen(false)\n setEngineToDelete(null)\n },\n })\n }\n\n const handleCreateEngine = async (name: string, yamlContent: string) => {\n await createEngineMutation.mutateAsync({\n name,\n configuration: yamlContent,\n })\n }\n\n // Loading state\n if (isLoading) {\n return \n }\n\n return (\n
\n {/* Top: Title + Search + Create button */}\n
\n

{tNav(\"scanEngine\")}

\n
\n
\n \n setSearchQuery(e.target.value)}\n className=\"pl-8\"\n />\n
\n
\n \n
\n\n \n\n {/* Main: Left list + Right details */}\n
\n {/* Left: Engine list */}\n
\n
\n

\n {tEngine(\"engineList\")} ({filteredEngines.length})\n

\n
\n \n {isLoading ? (\n
{tCommon(\"loading\")}
\n ) : filteredEngines.length === 0 ? (\n
\n {searchQuery ? tEngine(\"noMatchingEngine\") : tEngine(\"noEngines\")}\n
\n ) : (\n
\n {filteredEngines.map((engine) => (\n setSelectedId(engine.id)}\n className={cn(\n \"w-full text-left rounded-lg px-3 py-2.5 transition-colors\",\n selectedId === engine.id\n ? \"bg-primary/10 text-primary\"\n : \"hover:bg-muted\"\n )}\n >\n
\n {engine.name}\n
\n
\n {tEngine(\"featuresEnabled\", { count: countEnabledFeatures(engine) })}\n
\n \n ))}\n
\n )}\n \n
\n\n {/* Right: Engine details */}\n
\n {selectedEngine && selectedFeatures ? (\n <>\n {/* Details header */}\n
\n
\n
\n \n
\n
\n

\n {selectedEngine.name}\n

\n

\n {tEngine(\"updatedAt\")} {new Date(selectedEngine.updatedAt).toLocaleString()}\n

\n
\n \n {tEngine(\"featuresCount\", { count: countEnabledFeatures(selectedEngine) })}\n \n
\n
\n\n {/* Details content */}\n
\n {/* Feature status */}\n
\n

{tEngine(\"enabledFeatures\")}

\n
\n
\n {FEATURE_LIST.map((feature) => {\n const enabled = selectedFeatures[feature.key as keyof typeof selectedFeatures]\n return (\n \n {enabled ? (\n \n ) : (\n \n )}\n {tEngine(`features.${feature.key}`)}\n
\n )\n })}\n
\n
\n
\n\n {/* Configuration preview */}\n {selectedEngine.configuration && (\n
\n

{tEngine(\"configPreview\")}

\n
\n \n
\n
\n )}\n
\n\n {/* Action buttons */}\n
\n handleEdit(selectedEngine)}\n >\n \n {tEngine(\"editConfig\")}\n \n
\n handleDelete(selectedEngine)}\n disabled={deleteEngineMutation.isPending}\n >\n \n {tCommon(\"actions.delete\")}\n \n
\n \n ) : (\n // Unselected state\n
\n
\n \n

{tEngine(\"selectEngineHint\")}

\n
\n
\n )}\n
\n
\n\n {/* Edit engine dialog */}\n \n\n {/* Create engine dialog */}\n \n\n {/* Delete confirmation dialog */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteEngineMessage\", { name: engineToDelete?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {deleteEngineMutation.isPending ? tConfirm(\"deleting\") : tCommon(\"actions.delete\")}\n \n \n \n \n
\n )\n}\n\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/directories/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { DirectoriesView } from \"@/components/directories/directories-view\"\n\nexport default function ScanDirectoriesPage() {\n const { id } = useParams<{ id: string }>()\n const scanId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/endpoints/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { EndpointsDetailView } from \"@/components/endpoints\"\n\nexport default function ScanHistoryEndpointsPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/ip-addresses/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { IPAddressesView } from \"@/components/ip-addresses\"\n\nexport default function ScanHistoryIPsPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/layout.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { usePathname, useParams } from \"next/navigation\"\nimport Link from \"next/link\"\nimport { Target, LayoutDashboard, Package, Image, ShieldAlert } from \"lucide-react\"\nimport { Tabs, TabsList, TabsTrigger } from \"@/components/ui/tabs\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { useScan } from \"@/hooks/use-scans\"\nimport { useTranslations } from \"next-intl\"\n\nexport default function ScanHistoryLayout({\n children,\n}: {\n children: React.ReactNode\n}) {\n const { id } = useParams<{ id: string }>()\n const pathname = usePathname()\n const { data: scanData, isLoading } = useScan(parseInt(id))\n const t = useTranslations(\"scan.history\")\n\n // Get primary navigation active tab\n const getPrimaryTab = () => {\n if (pathname.includes(\"/overview\")) return \"overview\"\n if (pathname.includes(\"/screenshots\")) return \"screenshots\"\n if (pathname.includes(\"/vulnerabilities\")) return \"vulnerabilities\"\n // All asset pages fall under \"assets\"\n if (\n pathname.includes(\"/websites\") ||\n pathname.includes(\"/subdomain\") ||\n pathname.includes(\"/ip-addresses\") ||\n pathname.includes(\"/endpoints\") ||\n pathname.includes(\"/directories\")\n ) {\n return \"assets\"\n }\n return \"overview\"\n }\n\n // Get secondary navigation active tab (for assets)\n const getSecondaryTab = () => {\n if (pathname.includes(\"/websites\")) return \"websites\"\n if (pathname.includes(\"/subdomain\")) return \"subdomain\"\n if (pathname.includes(\"/ip-addresses\")) return \"ip-addresses\"\n if (pathname.includes(\"/endpoints\")) return \"endpoints\"\n if (pathname.includes(\"/directories\")) return \"directories\"\n return \"websites\"\n }\n\n // Check if we should show secondary navigation\n const showSecondaryNav = getPrimaryTab() === \"assets\"\n\n const basePath = `/scan/history/${id}`\n const primaryPaths = {\n overview: `${basePath}/overview/`,\n assets: `${basePath}/websites/`, // Default to websites when clicking assets\n screenshots: `${basePath}/screenshots/`,\n vulnerabilities: `${basePath}/vulnerabilities/`,\n }\n\n const secondaryPaths = {\n websites: `${basePath}/websites/`,\n subdomain: `${basePath}/subdomain/`,\n \"ip-addresses\": `${basePath}/ip-addresses/`,\n endpoints: `${basePath}/endpoints/`,\n directories: `${basePath}/directories/`,\n }\n\n // Get counts for each tab from scan data\n const summary = scanData?.summary as any\n const counts = {\n subdomain: summary?.subdomains || 0,\n endpoints: summary?.endpoints || 0,\n websites: summary?.websites || 0,\n directories: summary?.directories || 0,\n screenshots: summary?.screenshots || 0,\n vulnerabilities: summary?.vulnerabilities?.total || 0,\n \"ip-addresses\": summary?.ips || 0,\n }\n\n // Calculate total assets count\n const totalAssets = counts.websites + counts.subdomain + counts[\"ip-addresses\"] + counts.endpoints + counts.directories\n\n // Loading state\n if (isLoading) {\n return (\n
\n {/* Header skeleton */}\n
\n \n /\n \n
\n {/* Tabs skeleton */}\n
\n \n \n \n
\n
\n )\n }\n\n return (\n
\n {/* Header: Page label + Scan info */}\n
\n {t(\"breadcrumb.scanHistory\")}\n /\n \n \n {(scanData?.target as any)?.name || t(\"taskId\", { id })}\n \n
\n\n {/* Primary navigation */}\n
\n \n \n \n \n \n {t(\"tabs.overview\")}\n \n \n \n \n \n {t(\"tabs.assets\")}\n {totalAssets > 0 && (\n \n {totalAssets}\n \n )}\n \n \n \n \n \n {t(\"tabs.screenshots\")}\n {counts.screenshots > 0 && (\n \n {counts.screenshots}\n \n )}\n \n \n \n \n \n {t(\"tabs.vulnerabilities\")}\n {counts.vulnerabilities > 0 && (\n \n {counts.vulnerabilities}\n \n )}\n \n \n \n \n
\n\n {/* Secondary navigation (only for assets) */}\n {showSecondaryNav && (\n
\n \n \n \n \n Websites\n {counts.websites > 0 && (\n \n {counts.websites}\n \n )}\n \n \n \n \n Subdomains\n {counts.subdomain > 0 && (\n \n {counts.subdomain}\n \n )}\n \n \n \n \n IPs\n {counts[\"ip-addresses\"] > 0 && (\n \n {counts[\"ip-addresses\"]}\n \n )}\n \n \n \n \n URLs\n {counts.endpoints > 0 && (\n \n {counts.endpoints}\n \n )}\n \n \n \n \n Directories\n {counts.directories > 0 && (\n \n {counts.directories}\n \n )}\n \n \n \n \n
\n )}\n\n {/* Sub-page content */}\n {children}\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/overview/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { ScanOverview } from \"@/components/scan/history/scan-overview\"\n\n/**\n * Scan overview page\n * Displays scan statistics and summary information\n */\nexport default function ScanOverviewPage() {\n const { id } = useParams<{ id: string }>()\n const scanId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/page.tsx", "content": "\"use client\"\n\nimport { useParams, useRouter } from \"next/navigation\"\nimport { useEffect } from \"react\"\n\nexport default function ScanHistoryDetailPage() {\n const { id } = useParams<{ id: string }>()\n const router = useRouter()\n\n useEffect(() => {\n router.replace(`/scan/history/${id}/overview/`)\n }, [id, router])\n\n return null\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/screenshots/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { ScreenshotsGallery } from \"@/components/screenshots/screenshots-gallery\"\n\nexport default function ScanScreenshotsPage() {\n const { id } = useParams<{ id: string }>()\n const scanId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/subdomain/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { SubdomainsDetailView } from \"@/components/subdomains\"\n\nexport default function ScanHistorySubdomainPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/vulnerabilities/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { VulnerabilitiesDetailView } from \"@/components/vulnerabilities\"\n\nexport default function ScanHistoryVulnerabilitiesPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/[id]/websites/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { WebSitesView } from \"@/components/websites/websites-view\"\n\nexport default function ScanWebSitesPage() {\n const { id } = useParams<{ id: string }>()\n const scanId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/history/page.tsx", "content": "\"use client\"\n\nimport { useTranslations } from \"next-intl\"\nimport { IconRadar } from \"@tabler/icons-react\"\nimport { ScanHistoryList } from \"@/components/scan/history/scan-history-list\"\nimport { ScanHistoryStatCards } from \"@/components/scan/history/scan-history-stat-cards\"\n\n/**\n * Scan history page\n * Displays historical records of all scan tasks\n */\nexport default function ScanHistoryPage() {\n const t = useTranslations(\"scan.history\")\n\n return (\n
\n {/* Page title */}\n
\n \n
\n

{t(\"title\")}

\n

{t(\"description\")}

\n
\n
\n\n {/* Statistics cards */}\n
\n \n
\n\n {/* Scan history list */}\n
\n \n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/scan/scheduled/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport { ScheduledScanDataTable } from \"@/components/scan/scheduled/scheduled-scan-data-table\"\nimport { createScheduledScanColumns } from \"@/components/scan/scheduled/scheduled-scan-columns\"\nimport { CreateScheduledScanDialog } from \"@/components/scan/scheduled/create-scheduled-scan-dialog\"\nimport { EditScheduledScanDialog } from \"@/components/scan/scheduled/edit-scheduled-scan-dialog\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { \n useScheduledScans, \n useDeleteScheduledScan, \n useToggleScheduledScan \n} from \"@/hooks/use-scheduled-scans\"\nimport type { ScheduledScan } from \"@/types/scheduled-scan.types\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\n\n/**\n * Scheduled scan page\n * Manage scheduled scan task configuration\n */\nexport default function ScheduledScanPage() {\n const [createDialogOpen, setCreateDialogOpen] = React.useState(false)\n const [editDialogOpen, setEditDialogOpen] = React.useState(false)\n const [editingScheduledScan, setEditingScheduledScan] = React.useState(null)\n const [deleteDialogOpen, setDeleteDialogOpen] = React.useState(false)\n const [deletingScheduledScan, setDeletingScheduledScan] = React.useState(null)\n \n // Internationalization\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tScan = useTranslations(\"scan\")\n const tConfirm = useTranslations(\"common.confirm\")\n\n // Build translation object\n const translations = React.useMemo(() => ({\n columns: {\n taskName: tColumns(\"scheduledScan.taskName\"),\n scanEngine: tColumns(\"scheduledScan.scanEngine\"),\n cronExpression: tColumns(\"scheduledScan.cronExpression\"),\n scope: tColumns(\"scheduledScan.scope\"),\n status: tColumns(\"common.status\"),\n nextRun: tColumns(\"scheduledScan.nextRun\"),\n runCount: tColumns(\"scheduledScan.runCount\"),\n lastRun: tColumns(\"scheduledScan.lastRun\"),\n },\n actions: {\n editTask: tScan(\"editTask\"),\n delete: tCommon(\"actions.delete\"),\n openMenu: tCommon(\"actions.openMenu\"),\n },\n status: {\n enabled: tCommon(\"status.enabled\"),\n disabled: tCommon(\"status.disabled\"),\n },\n cron: {\n everyMinute: tScan(\"cron.everyMinute\"),\n everyNMinutes: tScan.raw(\"cron.everyNMinutes\") as string,\n everyHour: tScan.raw(\"cron.everyHour\") as string,\n everyNHours: tScan.raw(\"cron.everyNHours\") as string,\n everyDay: tScan.raw(\"cron.everyDay\") as string,\n everyWeek: tScan.raw(\"cron.everyWeek\") as string,\n everyMonth: tScan.raw(\"cron.everyMonth\") as string,\n weekdays: tScan.raw(\"cron.weekdays\") as string[],\n },\n }), [tColumns, tCommon, tScan])\n \n // Pagination state\n const [page, setPage] = React.useState(1)\n const [pageSize, setPageSize] = React.useState(10)\n\n // Search state\n const [searchQuery, setSearchQuery] = React.useState(\"\")\n const [isSearching, setIsSearching] = React.useState(false)\n\n const handleSearchChange = (value: string) => {\n setIsSearching(true)\n setSearchQuery(value)\n setPage(1)\n }\n \n // Use actual API\n const { data, isLoading, isFetching, refetch } = useScheduledScans({ page, pageSize, search: searchQuery || undefined })\n\n // Reset search state when request completes\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n const { mutate: deleteScheduledScan } = useDeleteScheduledScan()\n const { mutate: toggleScheduledScan } = useToggleScheduledScan()\n\n const scheduledScans = data?.results || []\n const total = data?.total || 0\n const totalPages = data?.totalPages || 1\n\n // Format date\n const formatDate = React.useCallback((dateString: string) => {\n const date = new Date(dateString)\n return date.toLocaleString(\"zh-CN\", {\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n })\n }, [])\n\n // Edit task\n const handleEdit = React.useCallback((scan: ScheduledScan) => {\n setEditingScheduledScan(scan)\n setEditDialogOpen(true)\n }, [])\n\n // Delete task (open confirmation dialog)\n const handleDelete = React.useCallback((scan: ScheduledScan) => {\n setDeletingScheduledScan(scan)\n setDeleteDialogOpen(true)\n }, [])\n\n // Confirm delete task\n const confirmDelete = React.useCallback(() => {\n if (deletingScheduledScan) {\n deleteScheduledScan(deletingScheduledScan.id)\n setDeleteDialogOpen(false)\n setDeletingScheduledScan(null)\n }\n }, [deletingScheduledScan, deleteScheduledScan])\n\n // Toggle task enabled status\n const handleToggleStatus = React.useCallback((scan: ScheduledScan, enabled: boolean) => {\n toggleScheduledScan({ id: scan.id, isEnabled: enabled })\n }, [toggleScheduledScan])\n\n // Page change handler\n const handlePageChange = React.useCallback((newPage: number) => {\n setPage(newPage)\n }, [])\n\n // Page size change handler\n const handlePageSizeChange = React.useCallback((newPageSize: number) => {\n setPageSize(newPageSize)\n setPage(1) // Reset to first page\n }, [])\n\n // Add new task\n const handleAddNew = React.useCallback(() => {\n setCreateDialogOpen(true)\n }, [])\n\n // Create column definition\n const columns = React.useMemo(\n () =>\n createScheduledScanColumns({\n formatDate,\n handleEdit,\n handleDelete,\n handleToggleStatus,\n t: translations,\n }),\n [formatDate, handleEdit, handleDelete, handleToggleStatus, translations]\n )\n\n if (isLoading) {\n return (\n
\n
\n
\n

{tScan(\"scheduled.title\")}

\n

{tScan(\"scheduled.description\")}

\n
\n
\n \n
\n )\n }\n\n return (\n
\n {/* Page title */}\n
\n
\n

{tScan(\"scheduled.title\")}

\n

{tScan(\"scheduled.description\")}

\n
\n
\n\n {/* Data table */}\n
\n \n
\n\n {/* Create scheduled scan dialog */}\n refetch()}\n />\n\n {/* Edit scheduled scan dialog */}\n refetch()}\n />\n\n {/* Delete confirmation dialog */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteScheduledScanMessage\", { name: deletingScheduledScan?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {tCommon(\"actions.delete\")}\n \n \n \n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/search/page.tsx", "content": "import { SearchPage } from \"@/components/search\"\n\nexport default function Search() {\n return \n}\n" }, { "path": "frontend/app/[locale]/settings/api-keys/page.tsx", "content": "\"use client\"\n\nimport React, { useState, useEffect } from 'react'\nimport { IconEye, IconEyeOff, IconWorldSearch, IconRadar2 } from '@tabler/icons-react'\n\nimport { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card'\nimport { Button } from '@/components/ui/button'\nimport { Input } from '@/components/ui/input'\nimport { Switch } from '@/components/ui/switch'\nimport { Separator } from '@/components/ui/separator'\nimport { Badge } from '@/components/ui/badge'\nimport { Skeleton } from '@/components/ui/skeleton'\nimport { useApiKeySettings, useUpdateApiKeySettings } from '@/hooks/use-api-key-settings'\nimport type { ApiKeySettings } from '@/types/api-key-settings.types'\n\n// 密码输入框组件（带显示/隐藏切换）\nfunction PasswordInput({ value, onChange, placeholder, disabled }: {\n value: string\n onChange: (value: string) => void\n placeholder?: string\n disabled?: boolean\n}) {\n const [show, setShow] = useState(false)\n return (\n
\n onChange(e.target.value)}\n placeholder={placeholder}\n disabled={disabled}\n className=\"pr-10\"\n />\n setShow(!show)}\n className=\"absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground\"\n >\n {show ? : }\n \n
\n )\n}\n\n// Provider 配置定义\nconst PROVIDERS = [\n {\n key: 'fofa',\n name: 'FOFA',\n description: '网络空间测绘平台，提供全球互联网资产搜索',\n icon: IconWorldSearch,\n color: 'text-blue-500',\n bgColor: 'bg-blue-500/10',\n fields: [\n { name: 'email', label: '邮箱', type: 'text', placeholder: 'your@email.com' },\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 FOFA API Key' },\n ],\n docUrl: 'https://fofa.info/api',\n },\n {\n key: 'hunter',\n name: 'Hunter (鹰图)',\n description: '奇安信威胁情报平台，提供网络空间资产测绘',\n icon: IconRadar2,\n color: 'text-orange-500',\n bgColor: 'bg-orange-500/10',\n fields: [\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 Hunter API Key' },\n ],\n docUrl: 'https://hunter.qianxin.com/',\n },\n {\n key: 'shodan',\n name: 'Shodan',\n description: '全球最大的互联网设备搜索引擎',\n icon: IconWorldSearch,\n color: 'text-red-500',\n bgColor: 'bg-red-500/10',\n fields: [\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 Shodan API Key' },\n ],\n docUrl: 'https://developer.shodan.io/',\n },\n {\n key: 'censys',\n name: 'Censys',\n description: '互联网资产搜索和监控平台',\n icon: IconWorldSearch,\n color: 'text-purple-500',\n bgColor: 'bg-purple-500/10',\n fields: [\n { name: 'apiId', label: 'API ID', type: 'text', placeholder: '输入 Censys API ID' },\n { name: 'apiSecret', label: 'API Secret', type: 'password', placeholder: '输入 Censys API Secret' },\n ],\n docUrl: 'https://search.censys.io/api',\n },\n {\n key: 'zoomeye',\n name: 'ZoomEye (钟馗之眼)',\n description: '知道创宇网络空间搜索引擎',\n icon: IconWorldSearch,\n color: 'text-green-500',\n bgColor: 'bg-green-500/10',\n fields: [\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 ZoomEye API Key' },\n ],\n docUrl: 'https://www.zoomeye.org/doc',\n },\n {\n key: 'securitytrails',\n name: 'SecurityTrails',\n description: 'DNS 历史记录和子域名数据平台',\n icon: IconWorldSearch,\n color: 'text-cyan-500',\n bgColor: 'bg-cyan-500/10',\n fields: [\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 SecurityTrails API Key' },\n ],\n docUrl: 'https://securitytrails.com/corp/api',\n },\n {\n key: 'threatbook',\n name: 'ThreatBook (微步在线)',\n description: '威胁情报平台，提供域名和 IP 情报查询',\n icon: IconWorldSearch,\n color: 'text-indigo-500',\n bgColor: 'bg-indigo-500/10',\n fields: [\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 ThreatBook API Key' },\n ],\n docUrl: 'https://x.threatbook.com/api',\n },\n {\n key: 'quake',\n name: 'Quake (360)',\n description: '360 网络空间测绘系统',\n icon: IconWorldSearch,\n color: 'text-teal-500',\n bgColor: 'bg-teal-500/10',\n fields: [\n { name: 'apiKey', label: 'API Key', type: 'password', placeholder: '输入 Quake API Key' },\n ],\n docUrl: 'https://quake.360.net/quake/#/help',\n },\n]\n\n// 默认配置\nconst DEFAULT_SETTINGS: ApiKeySettings = {\n fofa: { enabled: false, email: '', apiKey: '' },\n hunter: { enabled: false, apiKey: '' },\n shodan: { enabled: false, apiKey: '' },\n censys: { enabled: false, apiId: '', apiSecret: '' },\n zoomeye: { enabled: false, apiKey: '' },\n securitytrails: { enabled: false, apiKey: '' },\n threatbook: { enabled: false, apiKey: '' },\n quake: { enabled: false, apiKey: '' },\n}\n\nexport default function ApiKeysSettingsPage() {\n const { data: settings, isLoading } = useApiKeySettings()\n const updateMutation = useUpdateApiKeySettings()\n \n const [formData, setFormData] = useState(DEFAULT_SETTINGS)\n const [hasChanges, setHasChanges] = useState(false)\n\n // 当数据加载完成后，更新表单数据\n useEffect(() => {\n if (settings) {\n setFormData({ ...DEFAULT_SETTINGS, ...settings })\n setHasChanges(false)\n }\n }, [settings])\n\n const updateProvider = (providerKey: string, field: string, value: any) => {\n setFormData(prev => ({\n ...prev,\n [providerKey]: {\n ...prev[providerKey as keyof ApiKeySettings],\n [field]: value,\n }\n }))\n setHasChanges(true)\n }\n\n const handleSave = async () => {\n updateMutation.mutate(formData)\n setHasChanges(false)\n }\n\n const enabledCount = Object.values(formData).filter((p: any) => p?.enabled).length\n\n if (isLoading) {\n return (\n
\n
\n \n \n
\n
\n {[1, 2, 3].map((i) => (\n \n ))}\n
\n
\n )\n }\n\n return (\n
\n {/* 页面标题 */}\n
\n
\n

API 密钥配置

\n {enabledCount > 0 && (\n {enabledCount} 个已启用\n )}\n
\n

\n 配置第三方数据源的 API 密钥，用于增强子域名发现能力。启用后将在 subfinder 扫描时自动使用。\n

\n
\n\n {/* Provider 卡片列表 */}\n
\n {PROVIDERS.map((provider) => {\n const data = formData[provider.key as keyof ApiKeySettings] || {}\n const isEnabled = (data as any)?.enabled || false\n\n return (\n \n \n
\n
\n
\n \n
\n
\n
\n {provider.name}\n {isEnabled && 已启用}\n
\n {provider.description}\n
\n
\n updateProvider(provider.key, 'enabled', checked)}\n />\n
\n \n\n {/* 展开的配置表单 */}\n {isEnabled && (\n \n \n
\n {provider.fields.map((field) => (\n
\n \n {field.type === 'password' ? (\n updateProvider(provider.key, field.name, value)}\n placeholder={field.placeholder}\n />\n ) : (\n updateProvider(provider.key, field.name, e.target.value)}\n placeholder={field.placeholder}\n />\n )}\n
\n ))}\n

\n 获取 API Key：\n \n {provider.docUrl}\n \n

\n
\n \n )}\n \n )\n })}\n
\n\n {/* 保存按钮 */}\n
\n \n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/settings/blacklist/page.tsx", "content": "\"use client\"\n\nimport React, { useState, useEffect } from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport { AlertTriangle, Loader2, Ban } from \"lucide-react\"\nimport { Button } from \"@/components/ui/button\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { Card, CardContent, CardDescription, CardHeader, CardTitle } from \"@/components/ui/card\"\nimport { useGlobalBlacklist, useUpdateGlobalBlacklist } from \"@/hooks/use-global-blacklist\"\n\n/**\n * Global blacklist settings page\n */\nexport default function GlobalBlacklistPage() {\n const t = useTranslations(\"pages.settings.blacklist\")\n \n const [blacklistText, setBlacklistText] = useState(\"\")\n const [hasChanges, setHasChanges] = useState(false)\n\n const { data, isLoading, error } = useGlobalBlacklist()\n const updateBlacklist = useUpdateGlobalBlacklist()\n\n // Initialize text when data loads\n useEffect(() => {\n if (data?.patterns) {\n setBlacklistText(data.patterns.join(\"\\n\"))\n setHasChanges(false)\n }\n }, [data])\n\n // Handle text change\n const handleTextChange = (e: React.ChangeEvent) => {\n setBlacklistText(e.target.value)\n setHasChanges(true)\n }\n\n // Handle save\n const handleSave = () => {\n const patterns = blacklistText\n .split(\"\\n\")\n .map((line) => line.trim())\n .filter((line) => line.length > 0)\n\n updateBlacklist.mutate(\n { patterns },\n {\n onSuccess: () => {\n setHasChanges(false)\n },\n }\n )\n }\n\n if (isLoading) {\n return (\n
\n
\n \n \n
\n \n
\n )\n }\n\n if (error) {\n return (\n
\n \n

{t(\"loadError\")}

\n
\n )\n }\n\n return (\n
\n {/* Page header */}\n
\n

{t(\"title\")}

\n

{t(\"description\")}

\n
\n\n {/* Blacklist card */}\n \n \n
\n \n {t(\"card.title\")}\n
\n {t(\"card.description\")}\n \n \n {/* Rules hint */}\n
\n {t(\"rules.title\")}:\n *.gov {t(\"rules.domain\")}\n *cdn* {t(\"rules.keyword\")}\n 192.168.1.1 {t(\"rules.ip\")}\n 10.0.0.0/8 {t(\"rules.cidr\")}\n
\n\n {/* Scope hint */}\n
\n

{t(\"scopeHint\")}

\n
\n\n {/* Input */}\n \n\n {/* Save button */}\n
\n \n {updateBlacklist.isPending && (\n \n )}\n {t(\"save\")}\n \n
\n \n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/settings/notifications/page.tsx", "content": "\"use client\"\n\nimport React from 'react'\nimport { useForm } from 'react-hook-form'\nimport { useTranslations } from 'next-intl'\nimport { zodResolver } from '@hookform/resolvers/zod'\nimport * as z from 'zod'\nimport { IconBrandDiscord, IconMail, IconBrandSlack, IconScan, IconShieldCheck, IconWorld, IconSettings } from '@tabler/icons-react'\n\nimport { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card'\nimport { Button } from '@/components/ui/button'\nimport { Input } from '@/components/ui/input'\nimport { Switch } from '@/components/ui/switch'\nimport { Form, FormControl, FormDescription, FormField, FormItem, FormLabel, FormMessage } from '@/components/ui/form'\nimport { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs'\nimport { Separator } from '@/components/ui/separator'\nimport { Badge } from '@/components/ui/badge'\nimport { useNotificationSettings, useUpdateNotificationSettings } from '@/hooks/use-notification-settings'\n\nexport default function NotificationSettingsPage() {\n const t = useTranslations(\"settings.notifications\")\n const { data, isLoading } = useNotificationSettings()\n const updateMutation = useUpdateNotificationSettings()\n\n // Schema with translations\n const schema = z\n .object({\n discord: z.object({\n enabled: z.boolean(),\n webhookUrl: z.string().url(t(\"discord.urlInvalid\")).or(z.literal('')),\n }),\n wecom: z.object({\n enabled: z.boolean(),\n webhookUrl: z.string().url(t(\"wecom.urlInvalid\")).or(z.literal('')),\n }),\n categories: z.object({\n scan: z.boolean(),\n vulnerability: z.boolean(),\n asset: z.boolean(),\n system: z.boolean(),\n }),\n })\n .superRefine((val, ctx) => {\n if (val.discord.enabled) {\n if (!val.discord.webhookUrl || val.discord.webhookUrl.trim() === '') {\n ctx.addIssue({\n code: z.ZodIssueCode.custom,\n message: t(\"discord.requiredError\"),\n path: ['discord', 'webhookUrl'],\n })\n }\n }\n if (val.wecom.enabled) {\n if (!val.wecom.webhookUrl || val.wecom.webhookUrl.trim() === '') {\n ctx.addIssue({\n code: z.ZodIssueCode.custom,\n message: t(\"wecom.requiredError\"),\n path: ['wecom', 'webhookUrl'],\n })\n }\n }\n })\n\n const NOTIFICATION_CATEGORIES = [\n {\n key: 'scan' as const,\n label: t(\"categories.scan\"),\n description: t(\"categories.scanDesc\"),\n icon: IconScan,\n },\n {\n key: 'vulnerability' as const,\n label: t(\"categories.vulnerability\"),\n description: t(\"categories.vulnerabilityDesc\"),\n icon: IconShieldCheck,\n },\n {\n key: 'asset' as const,\n label: t(\"categories.asset\"),\n description: t(\"categories.assetDesc\"),\n icon: IconWorld,\n },\n {\n key: 'system' as const,\n label: t(\"categories.system\"),\n description: t(\"categories.systemDesc\"),\n icon: IconSettings,\n },\n ]\n\n const form = useForm>({\n resolver: zodResolver(schema),\n values: data ?? {\n discord: { enabled: false, webhookUrl: '' },\n wecom: { enabled: false, webhookUrl: '' },\n categories: {\n scan: true,\n vulnerability: true,\n asset: true,\n system: false,\n },\n },\n })\n\n const onSubmit = (values: z.infer) => {\n updateMutation.mutate(values)\n }\n\n const discordEnabled = form.watch('discord.enabled')\n const wecomEnabled = form.watch('wecom.enabled')\n\n return (\n
\n
\n

{t(\"pageTitle\")}

\n

{t(\"pageDesc\")}

\n
\n\n \n \n {t(\"tabs.channels\")}\n {t(\"tabs.preferences\")}\n \n\n
\n \n {/* Push channels tab */}\n \n {/* Discord card */}\n \n \n
\n
\n
\n \n
\n
\n {t(\"discord.title\")}\n {t(\"discord.description\")}\n
\n
\n (\n \n \n \n )}\n />\n
\n \n {discordEnabled && (\n \n \n (\n \n {t(\"discord.webhookLabel\")}\n \n \n \n \n {t(\"discord.webhookHelp\")}\n \n \n \n )}\n />\n \n )}\n \n\n {/* Email - Coming soon */}\n \n \n
\n
\n
\n \n
\n
\n
\n {t(\"emailChannel.title\")}\n {t(\"emailChannel.comingSoon\")}\n
\n {t(\"emailChannel.description\")}\n
\n
\n \n
\n \n \n\n {/* 企业微信 */}\n \n \n
\n
\n
\n \n
\n
\n {t(\"wecom.title\")}\n {t(\"wecom.description\")}\n
\n
\n (\n \n \n \n )}\n />\n
\n \n {wecomEnabled && (\n \n \n (\n \n {t(\"wecom.webhookLabel\")}\n \n \n \n \n {t(\"wecom.webhookHelp\")}\n \n \n \n )}\n />\n \n )}\n \n \n\n {/* Notification preferences tab */}\n \n \n \n {t(\"categories.title\")}\n {t(\"categories.description\")}\n \n \n {NOTIFICATION_CATEGORIES.map((category) => (\n (\n \n
\n
\n \n
\n
\n \n {category.label}\n \n \n {category.description}\n \n
\n
\n \n \n \n \n )}\n />\n ))}\n \n \n \n\n {/* Save button */}\n
\n \n
\n
\n \n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/settings/system-logs/page.tsx", "content": "\"use client\"\n\nimport { SystemLogsView } from \"@/components/settings/system-logs\"\n\nexport default function SystemLogsPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/settings/workers/page.tsx", "content": "\"use client\"\n\nimport { WorkerList } from \"@/components/settings/workers\"\nimport { useTranslations } from \"next-intl\"\n\nexport default function WorkersPage() {\n const t = useTranslations(\"pages.workers\")\n\n return (\n
\n
\n
\n

{t(\"title\")}

\n

\n {t(\"description\")}\n

\n
\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/details/page.tsx", "content": "\"use client\"\n\nimport { useParams, useRouter } from \"next/navigation\"\nimport { useEffect } from \"react\"\n\n/**\n * Target detail page (compatible with old routes)\n * Automatically redirects to overview page\n */\nexport default function TargetDetailsPage() {\n const { id } = useParams<{ id: string }>()\n const router = useRouter()\n\n useEffect(() => {\n // Redirect to overview page\n router.replace(`/target/${id}/overview/`)\n }, [id, router])\n\n return null\n}\n\n" }, { "path": "frontend/app/[locale]/target/[id]/directories/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { DirectoriesView } from \"@/components/directories/directories-view\"\n\nexport default function TargetDirectoriesPage() {\n const { id } = useParams<{ id: string }>()\n const targetId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/endpoints/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { EndpointsDetailView } from \"@/components/endpoints\"\n\n/**\n * Target endpoints page\n * Displays endpoint details under the target\n */\nexport default function TargetEndpointsPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n\n" }, { "path": "frontend/app/[locale]/target/[id]/ip-addresses/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { IPAddressesView } from \"@/components/ip-addresses\"\n\nexport default function TargetIPsPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/layout.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { usePathname, useParams } from \"next/navigation\"\nimport Link from \"next/link\"\nimport { Target, LayoutDashboard, Package, Image, ShieldAlert, Settings } from \"lucide-react\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { Tabs, TabsList, TabsTrigger } from \"@/components/ui/tabs\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { useTarget } from \"@/hooks/use-targets\"\nimport { useTranslations } from \"next-intl\"\n\n/**\n * Target detail layout\n * Two-level navigation: Overview / Assets / Vulnerabilities\n * Assets has secondary navigation for different asset types\n */\nexport default function TargetLayout({\n children,\n}: {\n children: React.ReactNode\n}) {\n const { id } = useParams<{ id: string }>()\n const pathname = usePathname()\n const t = useTranslations(\"pages.targetDetail\")\n\n // Use React Query to get target data\n const {\n data: target,\n isLoading,\n error\n } = useTarget(Number(id))\n\n // Get primary navigation active tab\n const getPrimaryTab = () => {\n if (pathname.includes(\"/overview\")) return \"overview\"\n if (pathname.includes(\"/screenshots\")) return \"screenshots\"\n if (pathname.includes(\"/vulnerabilities\")) return \"vulnerabilities\"\n if (pathname.includes(\"/settings\")) return \"settings\"\n // All asset pages fall under \"assets\"\n if (\n pathname.includes(\"/websites\") ||\n pathname.includes(\"/subdomain\") ||\n pathname.includes(\"/ip-addresses\") ||\n pathname.includes(\"/endpoints\") ||\n pathname.includes(\"/directories\")\n ) {\n return \"assets\"\n }\n return \"overview\"\n }\n\n // Get secondary navigation active tab (for assets)\n const getSecondaryTab = () => {\n if (pathname.includes(\"/websites\")) return \"websites\"\n if (pathname.includes(\"/subdomain\")) return \"subdomain\"\n if (pathname.includes(\"/ip-addresses\")) return \"ip-addresses\"\n if (pathname.includes(\"/endpoints\")) return \"endpoints\"\n if (pathname.includes(\"/directories\")) return \"directories\"\n return \"websites\"\n }\n\n // Check if we should show secondary navigation\n const showSecondaryNav = getPrimaryTab() === \"assets\"\n\n // Tab path mapping\n const basePath = `/target/${id}`\n const primaryPaths = {\n overview: `${basePath}/overview/`,\n assets: `${basePath}/websites/`, // Default to websites when clicking assets\n screenshots: `${basePath}/screenshots/`,\n vulnerabilities: `${basePath}/vulnerabilities/`,\n settings: `${basePath}/settings/`,\n }\n\n const secondaryPaths = {\n websites: `${basePath}/websites/`,\n subdomain: `${basePath}/subdomain/`,\n \"ip-addresses\": `${basePath}/ip-addresses/`,\n endpoints: `${basePath}/endpoints/`,\n directories: `${basePath}/directories/`,\n }\n\n // Get counts for each tab from target data\n const counts = {\n subdomain: (target as any)?.summary?.subdomains || 0,\n endpoints: (target as any)?.summary?.endpoints || 0,\n websites: (target as any)?.summary?.websites || 0,\n directories: (target as any)?.summary?.directories || 0,\n vulnerabilities: (target as any)?.summary?.vulnerabilities?.total || 0,\n \"ip-addresses\": (target as any)?.summary?.ips || 0,\n screenshots: (target as any)?.summary?.screenshots || 0,\n }\n\n // Calculate total assets count\n const totalAssets = counts.websites + counts.subdomain + counts[\"ip-addresses\"] + counts.endpoints + counts.directories\n\n // Loading state\n if (isLoading) {\n return (\n
\n {/* Header skeleton */}\n
\n \n /\n \n
\n {/* Tabs skeleton */}\n
\n \n \n \n
\n
\n )\n }\n\n // Error state\n if (error) {\n return (\n
\n
\n
\n \n

{t(\"error.title\")}

\n

\n {error.message || t(\"error.message\")}\n

\n
\n
\n
\n )\n }\n\n if (!target) {\n return (\n
\n
\n
\n \n

{t(\"notFound.title\")}

\n

\n {t(\"notFound.message\", { id })}\n

\n
\n
\n
\n )\n }\n\n return (\n
\n {/* Header: Page label + Target name */}\n
\n {t(\"breadcrumb.targetDetail\")}\n /\n \n \n {target.name}\n \n
\n\n {/* Primary navigation */}\n
\n \n \n \n \n \n {t(\"tabs.overview\")}\n \n \n \n \n \n {t(\"tabs.assets\")}\n {totalAssets > 0 && (\n \n {totalAssets}\n \n )}\n \n \n \n \n \n {t(\"tabs.screenshots\")}\n {counts.screenshots > 0 && (\n \n {counts.screenshots}\n \n )}\n \n \n \n \n \n {t(\"tabs.vulnerabilities\")}\n {counts.vulnerabilities > 0 && (\n \n {counts.vulnerabilities}\n \n )}\n \n \n \n \n \n {t(\"tabs.settings\")}\n \n \n \n \n
\n\n {/* Secondary navigation (only for assets) */}\n {showSecondaryNav && (\n
\n \n \n \n \n Websites\n {counts.websites > 0 && (\n \n {counts.websites}\n \n )}\n \n \n \n \n Subdomains\n {counts.subdomain > 0 && (\n \n {counts.subdomain}\n \n )}\n \n \n \n \n IPs\n {counts[\"ip-addresses\"] > 0 && (\n \n {counts[\"ip-addresses\"]}\n \n )}\n \n \n \n \n URLs\n {counts.endpoints > 0 && (\n \n {counts.endpoints}\n \n )}\n \n \n \n \n Directories\n {counts.directories > 0 && (\n \n {counts.directories}\n \n )}\n \n \n \n \n
\n )}\n\n {/* Sub-page content */}\n {children}\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/overview/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { TargetOverview } from \"@/components/target/target-overview\"\n\n/**\n * Target overview page\n * Displays target statistics and summary information\n */\nexport default function TargetOverviewPage() {\n const { id } = useParams<{ id: string }>()\n const targetId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/page.tsx", "content": "\"use client\"\n\nimport { useParams, useRouter } from \"next/navigation\"\nimport { useEffect } from \"react\"\n\n/**\n * Target detail default page\n * Automatically redirects to overview page\n */\nexport default function TargetDetailPage() {\n const { id } = useParams<{ id: string }>()\n const router = useRouter()\n\n useEffect(() => {\n // Redirect to overview page\n router.replace(`/target/${id}/overview/`)\n }, [id, router])\n\n return null\n}\n\n" }, { "path": "frontend/app/[locale]/target/[id]/screenshots/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { ScreenshotsGallery } from \"@/components/screenshots/screenshots-gallery\"\n\nexport default function ScreenshotsPage() {\n const { id } = useParams<{ id: string }>()\n const targetId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/settings/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { TargetSettings } from \"@/components/target/target-settings\"\n\n/**\n * Target settings page\n * Contains blacklist configuration and other settings\n */\nexport default function TargetSettingsPage() {\n const { id } = useParams<{ id: string }>()\n const targetId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/subdomain/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { SubdomainsDetailView } from \"@/components/subdomains\"\n\nexport default function TargetSubdomainPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/[id]/vulnerabilities/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useParams } from \"next/navigation\"\nimport { VulnerabilitiesDetailView } from \"@/components/vulnerabilities\"\n\n/**\n * Target vulnerabilities page\n * Displays vulnerability details under the target\n */\nexport default function TargetVulnerabilitiesPage() {\n const { id } = useParams<{ id: string }>()\n\n return (\n
\n \n
\n )\n}\n\n" }, { "path": "frontend/app/[locale]/target/[id]/websites/page.tsx", "content": "\"use client\"\n\nimport { useParams } from \"next/navigation\"\nimport { WebSitesView } from \"@/components/websites/websites-view\"\n\nexport default function WebSitesPage() {\n const { id } = useParams<{ id: string }>()\n const targetId = Number(id)\n\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/target/page.tsx", "content": "\"use client\"\n\nimport { AllTargetsDetailView } from \"@/components/target/all-targets-detail-view\"\nimport { Target } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\n\nexport default function AllTargetsPage() {\n const t = useTranslations(\"pages.target\")\n\n return (\n
\n {/* Page header */}\n
\n
\n

\n \n {t(\"title\")}\n

\n

\n {t(\"description\")}\n

\n
\n
\n\n {/* Content area */}\n
\n \n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/config/custom/page.tsx", "content": "/**\n * Custom tools page\n * Display and manage custom scanning scripts and tools\n */\nexport default function CustomToolsPage() {\n // Tool configuration feature has been deprecated, this page is kept as placeholder to avoid broken historical links\n return null\n}\n" }, { "path": "frontend/app/[locale]/tools/config/opensource/page.tsx", "content": "/**\n * Open source tools page\n * Display and manage open source scanning tools\n */\nexport default function OpensourceToolsPage() {\n // Tool configuration feature has been deprecated, this page is kept as placeholder to avoid broken historical links\n return null\n}\n" }, { "path": "frontend/app/[locale]/tools/config/page.tsx", "content": "\"use client\"\n\n/**\n * Tool configuration page\n * Display and manage scanning tool sets (open source tools and custom tools)\n */\nexport default function ToolConfigPage() {\n // Tool configuration feature has been deprecated, this page is kept as placeholder to avoid broken historical links\n return null\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/arl/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ARLFingerprintView } from \"@/components/fingerprints\"\n\nexport default function ARLFingerprintPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/ehole/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { EholeFingerprintView } from \"@/components/fingerprints\"\n\nexport default function EholeFingerprintPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/fingerprinthub/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { FingerPrintHubFingerprintView } from \"@/components/fingerprints\"\n\nexport default function FingerPrintHubFingerprintPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/fingers/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { FingersFingerprintView } from \"@/components/fingerprints\"\n\nexport default function FingersFingerprintPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/goby/page.tsx", "content": "\"use client\"\n\nimport { GobyFingerprintView } from \"@/components/fingerprints\"\n\nexport default function GobyFingerprintsPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/layout.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { usePathname } from \"next/navigation\"\nimport Link from \"next/link\"\nimport { Fingerprint, HelpCircle } from \"lucide-react\"\nimport { Tabs, TabsList, TabsTrigger } from \"@/components/ui/tabs\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport {\n Tooltip,\n TooltipContent,\n TooltipProvider,\n TooltipTrigger,\n} from \"@/components/ui/tooltip\"\nimport { useFingerprintStats } from \"@/hooks/use-fingerprints\"\nimport { useTranslations } from \"next-intl\"\n\n/**\n * Fingerprint management layout\n * Provides tab navigation to switch between different fingerprint libraries\n */\nexport default function FingerprintsLayout({\n children,\n}: {\n children: React.ReactNode\n}) {\n const pathname = usePathname()\n const { data: stats, isLoading } = useFingerprintStats()\n const t = useTranslations(\"tools.fingerprints\")\n\n // Get currently active tab\n const getActiveTab = () => {\n if (pathname.includes(\"/ehole\")) return \"ehole\"\n if (pathname.includes(\"/goby\")) return \"goby\"\n if (pathname.includes(\"/wappalyzer\")) return \"wappalyzer\"\n if (pathname.includes(\"/fingers\")) return \"fingers\"\n if (pathname.includes(\"/fingerprinthub\")) return \"fingerprinthub\"\n if (pathname.includes(\"/arl\")) return \"arl\"\n return \"ehole\"\n }\n\n // Tab path mapping\n const basePath = \"/tools/fingerprints\"\n const tabPaths = {\n ehole: `${basePath}/ehole/`,\n goby: `${basePath}/goby/`,\n wappalyzer: `${basePath}/wappalyzer/`,\n fingers: `${basePath}/fingers/`,\n fingerprinthub: `${basePath}/fingerprinthub/`,\n arl: `${basePath}/arl/`,\n }\n\n // Fingerprint library counts\n const counts = {\n ehole: stats?.ehole || 0,\n goby: stats?.goby || 0,\n wappalyzer: stats?.wappalyzer || 0,\n fingers: stats?.fingers || 0,\n fingerprinthub: stats?.fingerprinthub || 0,\n arl: stats?.arl || 0,\n }\n\n if (isLoading) {\n return (\n
\n
\n
\n \n \n
\n
\n
\n \n
\n
\n )\n }\n\n return (\n
\n {/* Page header */}\n
\n
\n

\n \n {t(\"title\")}\n

\n

{t(\"pageDescription\")}

\n
\n
\n\n {/* Tabs navigation */}\n
\n
\n \n \n \n \n EHole\n {counts.ehole > 0 && (\n \n {counts.ehole}\n \n )}\n \n \n \n \n Goby\n {counts.goby > 0 && (\n \n {counts.goby}\n \n )}\n \n \n \n \n Wappalyzer\n {counts.wappalyzer > 0 && (\n \n {counts.wappalyzer}\n \n )}\n \n \n \n \n Fingers\n {counts.fingers > 0 && (\n \n {counts.fingers}\n \n )}\n \n \n \n \n FingerPrintHub\n {counts.fingerprinthub > 0 && (\n \n {counts.fingerprinthub}\n \n )}\n \n \n \n \n ARL\n {counts.arl > 0 && (\n \n {counts.arl}\n \n )}\n \n \n \n \n\n \n \n \n \n \n \n {t(\"helpText\")}\n \n \n \n
\n
\n\n {/* Sub-page content */}\n {children}\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/page.tsx", "content": "\"use client\"\n\nimport { redirect } from \"next/navigation\"\n\n/**\n * Fingerprint management homepage - Redirect to EHole\n */\nexport default function FingerprintsPage() {\n redirect(\"/tools/fingerprints/ehole/\")\n}\n" }, { "path": "frontend/app/[locale]/tools/fingerprints/wappalyzer/page.tsx", "content": "\"use client\"\n\nimport { WappalyzerFingerprintView } from \"@/components/fingerprints\"\n\nexport default function WappalyzerFingerprintsPage() {\n return (\n
\n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/nuclei/[repoId]/page.tsx", "content": "\"use client\"\n\nimport { useEffect, useMemo, useState } from \"react\"\nimport Editor from \"@monaco-editor/react\"\nimport Link from \"next/link\"\nimport { useParams } from \"next/navigation\"\nimport {\n ChevronDown,\n ChevronRight,\n FileText,\n Folder,\n ArrowLeft,\n Search,\n RefreshCw,\n AlertTriangle,\n Tag,\n User,\n} from \"lucide-react\"\nimport { useColorTheme } from \"@/hooks/use-color-theme\"\nimport { ScrollArea } from \"@/components/ui/scroll-area\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Separator } from \"@/components/ui/separator\"\nimport {\n useNucleiRepoTree,\n useNucleiRepoContent,\n useRefreshNucleiRepo,\n useNucleiRepo,\n} from \"@/hooks/use-nuclei-repos\"\nimport type { NucleiTemplateTreeNode } from \"@/types/nuclei.types\"\nimport { cn } from \"@/lib/utils\"\nimport { useTranslations } from \"next-intl\"\n\ninterface FlattenedNode extends NucleiTemplateTreeNode {\n level: number\n}\n\n/** Parse YAML content to extract template information */\nfunction parseTemplateInfo(content: string) {\n const info: {\n id?: string\n name?: string\n severity?: string\n tags?: string[]\n author?: string\n } = {}\n\n // Simple regex extraction, no full YAML parsing\n const idMatch = content.match(/^id:\\s*(.+)$/m)\n if (idMatch) info.id = idMatch[1].trim()\n\n const nameMatch = content.match(/^\\s*name:\\s*(.+)$/m)\n if (nameMatch) info.name = nameMatch[1].trim()\n\n const severityMatch = content.match(/^\\s*severity:\\s*(.+)$/m)\n if (severityMatch) info.severity = severityMatch[1].trim().toLowerCase()\n\n const tagsMatch = content.match(/^\\s*tags:\\s*(.+)$/m)\n if (tagsMatch) info.tags = tagsMatch[1].split(\",\").map((t) => t.trim())\n\n const authorMatch = content.match(/^\\s*author:\\s*(.+)$/m)\n if (authorMatch) info.author = authorMatch[1].trim()\n\n return info\n}\n\n/** Severity level corresponding colors */\nfunction getSeverityColor(severity?: string) {\n switch (severity) {\n case \"critical\":\n return \"bg-red-100 text-red-700 border-red-200\"\n case \"high\":\n return \"bg-orange-100 text-orange-700 border-orange-200\"\n case \"medium\":\n return \"bg-yellow-100 text-yellow-700 border-yellow-200\"\n case \"low\":\n return \"bg-blue-100 text-blue-700 border-blue-200\"\n case \"info\":\n return \"bg-gray-100 text-gray-700 border-gray-200\"\n default:\n return \"bg-gray-100 text-gray-600 border-gray-200\"\n }\n}\n\nexport default function NucleiRepoDetailPage() {\n const params = useParams()\n const repoId = params?.repoId as string\n\n const [selectedPath, setSelectedPath] = useState(null)\n const [expandedPaths, setExpandedPaths] = useState([])\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [editorValue, setEditorValue] = useState(\"\")\n\n const { currentTheme } = useColorTheme()\n const t = useTranslations(\"tools.nuclei\")\n const tCommon = useTranslations(\"common\")\n\n const numericRepoId = repoId ? Number(repoId) : null\n\n const { data: tree, isLoading, isError } = useNucleiRepoTree(numericRepoId)\n const { data: templateContent, isLoading: isLoadingContent } = useNucleiRepoContent(numericRepoId, selectedPath)\n const { data: repoDetail } = useNucleiRepo(numericRepoId)\n const refreshMutation = useRefreshNucleiRepo()\n\n // Expanded nodes and filtered nodes\n const nodes: FlattenedNode[] = useMemo(() => {\n const result: FlattenedNode[] = []\n const expandedSet = new Set(expandedPaths)\n const query = searchQuery.toLowerCase().trim()\n\n const visit = (items: NucleiTemplateTreeNode[] | undefined, level: number) => {\n if (!items) return\n for (const item of items) {\n const isFolder = item.type === \"folder\"\n const isFile = item.type === \"file\"\n const isTemplateFile =\n isFile && (item.name.endsWith(\".yaml\") || item.name.endsWith(\".yml\"))\n\n if (!isFolder && !isTemplateFile) {\n continue\n }\n\n // Search filter\n if (query && isFile && !item.name.toLowerCase().includes(query)) {\n continue\n }\n\n result.push({ ...item, level })\n\n if (isFolder && item.children && item.children.length > 0) {\n // Expand all folders when searching, otherwise follow expandedPaths\n if (query || expandedSet.has(item.path)) {\n visit(item.children, level + 1)\n }\n }\n }\n }\n\n visit(tree, 0)\n return result\n }, [tree, expandedPaths, searchQuery])\n\n useEffect(() => {\n if (!tree || tree.length === 0) return\n if (expandedPaths.length > 0) return\n\n const rootFolders = tree\n .filter((item) => item.type === \"folder\")\n .map((item) => item.path)\n\n if (rootFolders.length > 0) {\n setExpandedPaths(rootFolders)\n }\n }, [tree, expandedPaths])\n\n useEffect(() => {\n if (templateContent) {\n setEditorValue(templateContent.content)\n } else {\n setEditorValue(\"\")\n }\n }, [templateContent?.path])\n\n const toggleFolder = (path: string) => {\n setExpandedPaths((prev) =>\n prev.includes(path) ? prev.filter((p) => p !== path) : [...prev, path]\n )\n }\n\n const repoDisplayName = repoDetail?.name || t(\"repoName\", { id: repoId })\n\n // Parse current template information\n const templateInfo = useMemo(() => {\n if (!templateContent?.content) return null\n return parseTemplateInfo(templateContent.content)\n }, [templateContent?.content])\n\n return (\n
\n {/* Top: Back + Title + Search + Sync */}\n
\n \n \n \n

{repoDisplayName}

\n
\n
\n \n setSearchQuery(e.target.value)}\n className=\"pl-8\"\n />\n
\n
\n numericRepoId && refreshMutation.mutate(numericRepoId)}\n disabled={refreshMutation.isPending || !numericRepoId}\n >\n \n {refreshMutation.isPending ? t(\"syncing\") : t(\"sync\")}\n \n
\n\n \n\n {/* Main: Left directory + Right content */}\n
\n {/* Left: Template directory */}\n
\n
\n

\n {t(\"templateDirectory\")} {nodes.filter((n) => n.type === \"file\").length > 0 && \n `(${t(\"templateCount\", { count: nodes.filter((n) => n.type === \"file\").length })})`}\n

\n
\n \n {isLoading ? (\n
{tCommon(\"status.loading\")}
\n ) : isError || nodes.length === 0 ? (\n
\n {searchQuery ? t(\"noMatchingTemplate\") : t(\"noTemplateOrLoadFailed\")}\n
\n ) : (\n
\n {nodes.map((node) => {\n const isFolder = node.type === \"folder\"\n const isFile = node.type === \"file\"\n const isActive = isFile && node.path === selectedPath\n const isExpanded = isFolder && expandedPaths.includes(node.path)\n\n return (\n {\n if (isFolder) {\n toggleFolder(node.path)\n } else if (isFile) {\n setSelectedPath(node.path)\n }\n }}\n className={cn(\n \"flex w-full items-center gap-1.5 rounded-md px-2 py-1.5 text-left text-sm transition-colors\",\n isFolder && \"font-medium\",\n isActive\n ? \"bg-primary/10 text-primary\"\n : \"hover:bg-muted\"\n )}\n style={{ paddingLeft: 8 + node.level * 16 }}\n >\n {isFolder ? (\n <>\n {isExpanded ? (\n \n ) : (\n \n )}\n \n \n ) : (\n <>\n \n \n \n )}\n {node.name}\n \n )\n })}\n
\n )}\n \n
\n\n {/* Right: Template content */}\n
\n {selectedPath && templateContent ? (\n <>\n {/* Template header */}\n
\n
\n
\n \n
\n
\n

\n {templateContent.name}\n

\n

\n {templateContent.path}\n

\n
\n {templateInfo?.severity && (\n \n {templateInfo.severity}\n \n )}\n
\n
\n\n {/* Code editor */}\n
\n \n
\n\n {/* Template information */}\n {templateInfo && (templateInfo.tags || templateInfo.author) && (\n
\n {templateInfo.tags && templateInfo.tags.length > 0 && (\n
\n \n
\n {templateInfo.tags.slice(0, 5).map((tag) => (\n \n {tag}\n \n ))}\n {templateInfo.tags.length > 5 && (\n \n +{templateInfo.tags.length - 5}\n \n )}\n
\n
\n )}\n {templateInfo.author && (\n
\n \n {templateInfo.author}\n
\n )}\n
\n )}\n \n ) : (\n // Unselected state\n
\n
\n \n

{t(\"selectTemplate\")}

\n

{t(\"useSearch\")}

\n
\n
\n )}\n
\n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/nuclei/page.tsx", "content": "\"use client\"\n\nimport Link from \"next/link\"\nimport { useState, useMemo, type FormEvent } from \"react\"\nimport { GitBranch, Search, RefreshCw, Settings, Trash2, FolderOpen, Plus } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { Button } from \"@/components/ui/button\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Input } from \"@/components/ui/input\"\nimport { ScrollArea } from \"@/components/ui/scroll-area\"\nimport { Separator } from \"@/components/ui/separator\"\nimport { Dialog, DialogContent, DialogFooter, DialogHeader, DialogTitle } from \"@/components/ui/dialog\"\nimport { Label } from \"@/components/ui/label\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport {\n useNucleiRepos,\n useCreateNucleiRepo,\n useDeleteNucleiRepo,\n useRefreshNucleiRepo,\n useUpdateNucleiRepo,\n type NucleiRepo,\n} from \"@/hooks/use-nuclei-repos\"\nimport { cn } from \"@/lib/utils\"\nimport { MasterDetailSkeleton } from \"@/components/ui/master-detail-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\n\n/** Format time display */\nfunction formatDateTime(isoString: string | null, locale: string) {\n if (!isoString) return \"-\"\n try {\n return new Date(isoString).toLocaleString(getDateLocale(locale))\n } catch {\n return isoString\n }\n}\n\nexport default function NucleiReposPage() {\n const [selectedId, setSelectedId] = useState(null)\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [createDialogOpen, setCreateDialogOpen] = useState(false)\n const [newName, setNewName] = useState(\"\")\n const [newRepoUrl, setNewRepoUrl] = useState(\"\")\n\n const [editDialogOpen, setEditDialogOpen] = useState(false)\n const [editingRepo, setEditingRepo] = useState(null)\n const [editRepoUrl, setEditRepoUrl] = useState(\"\")\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [repoToDelete, setRepoToDelete] = useState(null)\n\n // Internationalization\n const tCommon = useTranslations(\"common\")\n const tConfirm = useTranslations(\"common.confirm\")\n const t = useTranslations(\"pages.nuclei\")\n const locale = useLocale()\n\n // API Hooks\n const { data: repos, isLoading, isError } = useNucleiRepos()\n const createMutation = useCreateNucleiRepo()\n const deleteMutation = useDeleteNucleiRepo()\n const refreshMutation = useRefreshNucleiRepo()\n const updateMutation = useUpdateNucleiRepo()\n\n // Filter repository list\n const filteredRepos = useMemo(() => {\n if (!repos) return []\n if (!searchQuery.trim()) return repos\n const query = searchQuery.toLowerCase()\n return repos.filter(\n (r) =>\n r.name.toLowerCase().includes(query) ||\n r.repoUrl?.toLowerCase().includes(query)\n )\n }, [repos, searchQuery])\n\n // Selected repository\n const selectedRepo = useMemo(() => {\n if (!selectedId || !repos) return null\n return repos.find((r) => r.id === selectedId) || null\n }, [selectedId, repos])\n\n const resetCreateForm = () => {\n setNewName(\"\")\n setNewRepoUrl(\"\")\n }\n\n const resetEditForm = () => {\n setEditingRepo(null)\n setEditRepoUrl(\"\")\n }\n\n const handleCreateSubmit = (event: FormEvent) => {\n event.preventDefault()\n const name = newName.trim()\n const repoUrl = newRepoUrl.trim()\n if (!name || !repoUrl) return\n\n createMutation.mutate(\n { name, repoUrl },\n {\n onSuccess: () => {\n resetCreateForm()\n setCreateDialogOpen(false)\n },\n }\n )\n }\n\n const handleRefresh = (repoId: number) => {\n refreshMutation.mutate(repoId)\n }\n\n const handleDelete = (repo: NucleiRepo) => {\n setRepoToDelete(repo)\n setDeleteDialogOpen(true)\n }\n\n const confirmDelete = () => {\n if (!repoToDelete) return\n deleteMutation.mutate(repoToDelete.id, {\n onSuccess: () => {\n if (selectedId === repoToDelete.id) {\n setSelectedId(null)\n }\n setDeleteDialogOpen(false)\n setRepoToDelete(null)\n },\n })\n }\n\n const openEditDialog = (repo: NucleiRepo) => {\n setEditingRepo(repo)\n setEditRepoUrl(repo.repoUrl || \"\")\n setEditDialogOpen(true)\n }\n\n const handleEditSubmit = (event: FormEvent) => {\n event.preventDefault()\n if (!editingRepo) return\n const repoUrl = editRepoUrl.trim()\n if (!repoUrl) return\n\n updateMutation.mutate(\n { id: editingRepo.id, repoUrl },\n {\n onSuccess: () => {\n resetEditForm()\n setEditDialogOpen(false)\n },\n }\n )\n }\n\n // Loading state\n if (isLoading) {\n return \n }\n\n return (\n
\n {/* Top: Title + Search + Add button */}\n
\n

{t(\"title\")}

\n
\n
\n \n setSearchQuery(e.target.value)}\n className=\"pl-8\"\n />\n
\n
\n \n
\n\n \n\n {/* Main: Left list + Right details */}\n
\n {/* Left: Repository list */}\n
\n
\n

\n {t(\"listTitle\")} ({filteredRepos.length})\n

\n
\n \n {isLoading ? (\n
{t(\"loading\")}
\n ) : isError ? (\n
{t(\"loadFailed\")}
\n ) : filteredRepos.length === 0 ? (\n
\n {searchQuery ? t(\"noMatch\") : t(\"noData\")}\n
\n ) : (\n
\n {filteredRepos.map((repo) => (\n setSelectedId(repo.id)}\n className={cn(\n \"w-full text-left rounded-lg px-3 py-2.5 transition-colors\",\n selectedId === repo.id\n ? \"bg-primary/10 text-primary\"\n : \"hover:bg-muted\"\n )}\n >\n
\n \n {repo.name}\n \n {repo.lastSyncedAt ? (\n \n {t(\"synced\")}\n \n ) : (\n \n {t(\"notSynced\")}\n \n )}\n
\n
\n {repo.lastSyncedAt\n ? `${t(\"syncedAt\")} ${formatDateTime(repo.lastSyncedAt, locale)}`\n : t(\"notSyncedYet\")}\n
\n \n ))}\n
\n )}\n \n
\n\n {/* Right: Repository details */}\n
\n {selectedRepo ? (\n <>\n {/* Details header */}\n
\n
\n
\n \n
\n
\n
\n

\n {selectedRepo.name}\n

\n {selectedRepo.lastSyncedAt ? (\n \n {t(\"synced\")}\n \n ) : (\n {t(\"notSynced\")}\n )}\n
\n
\n
\n
\n\n {/* Details content */}\n \n
\n {/* Statistics information */}\n
\n
\n
\n
{t(\"status\")}
\n
\n {selectedRepo.lastSyncedAt ? t(\"synced\") : t(\"notSynced\")}\n
\n
\n
\n
{t(\"lastSync\")}
\n
\n {selectedRepo.lastSyncedAt\n ? formatDateTime(selectedRepo.lastSyncedAt, locale)\n : \"-\"}\n
\n
\n
\n \n
\n
\n {t(\"gitUrl\")}\n
\n {selectedRepo.repoUrl}\n
\n
\n {selectedRepo.localPath && (\n
\n {t(\"localPath\")}\n
\n {selectedRepo.localPath}\n
\n
\n )}\n {selectedRepo.commitHash && (\n
\n {t(\"commit\")}\n
\n {selectedRepo.commitHash}\n
\n
\n )}\n
\n
\n
\n \n\n {/* Action buttons */}\n
\n handleRefresh(selectedRepo.id)}\n disabled={refreshMutation.isPending}\n >\n \n {refreshMutation.isPending ? t(\"syncing\") : t(\"syncRepo\")}\n \n openEditDialog(selectedRepo)}\n >\n \n {t(\"editConfig\")}\n \n \n \n \n
\n handleDelete(selectedRepo)}\n disabled={deleteMutation.isPending}\n >\n \n {t(\"delete\")}\n \n
\n \n ) : (\n // Unselected state\n
\n
\n \n

{t(\"selectHint\")}

\n
\n
\n )}\n
\n
\n\n {\n setCreateDialogOpen(open)\n if (!open) {\n resetCreateForm()\n }\n }}>\n \n \n {t(\"addDialog.title\")}\n \n
\n
\n \n setNewName(event.target.value)}\n />\n
\n\n
\n \n setNewRepoUrl(event.target.value)}\n />\n
\n\n {/* Currently only public repositories are supported, no authentication method and credential configuration provided here */}\n\n \n setCreateDialogOpen(false)}\n disabled={createMutation.isPending}\n >\n {t(\"addDialog.cancel\")}\n \n \n {createMutation.isPending ? t(\"addDialog.creating\") : t(\"addDialog.confirm\")}\n \n \n
\n \n \n\n {\n setEditDialogOpen(open)\n if (!open) {\n resetEditForm()\n }\n }}\n >\n \n \n {t(\"editDialog.title\")}\n \n
\n
\n {t(\"editDialog.repoName\")}\n {editingRepo?.name ?? \"\"}\n
\n\n
\n \n setEditRepoUrl(event.target.value)}\n />\n
\n\n {/* Editing also no longer supports configuring authentication method/credentials, only allows modifying Git address */}\n\n \n setEditDialogOpen(false)}\n disabled={updateMutation.isPending}\n >\n {t(\"editDialog.cancel\")}\n \n \n {updateMutation.isPending ? t(\"editDialog.saving\") : t(\"editDialog.save\")}\n \n \n
\n \n \n\n {/* Delete confirmation dialog */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteNucleiRepoMessage\", { name: repoToDelete?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {deleteMutation.isPending ? tConfirm(\"deleting\") : tCommon(\"actions.delete\")}\n \n \n \n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/page.tsx", "content": "\"use client\"\n\nimport { Button } from \"@/components/ui/button\"\nimport { Card, CardContent, CardDescription, CardHeader, CardTitle } from \"@/components/ui/card\"\nimport { PackageOpen, Settings, ArrowRight } from \"lucide-react\"\nimport Link from \"next/link\"\nimport { useTranslations } from \"next-intl\"\n\n/**\n * Tools overview page\n * Displays entry points for open source tools and custom tools\n */\nexport default function ToolsPage() {\n const t = useTranslations(\"pages.tools\")\n const tCommon = useTranslations(\"common\")\n\n // Feature modules\n const modules = [\n {\n title: t(\"wordlists.title\"),\n description: t(\"wordlists.description\"),\n href: \"/tools/wordlists/\",\n icon: PackageOpen,\n status: \"available\",\n stats: {\n total: \"-\",\n active: \"-\",\n },\n },\n {\n title: t(\"nuclei.title\"),\n description: t(\"nuclei.description\"),\n href: \"/tools/nuclei/\",\n icon: Settings,\n status: \"available\",\n stats: {\n total: \"-\",\n active: \"-\",\n },\n },\n ]\n\n return (\n
\n {/* Page header */}\n
\n
\n

{t(\"title\")}

\n

\n {t(\"description\")}\n

\n
\n
\n\n {/* Statistics cards */}\n
\n
\n {modules.map((module) => (\n \n \n
\n
\n \n {module.title}\n
\n {module.status === \"coming-soon\" && (\n \n {t(\"comingSoon\")}\n \n )}\n
\n {module.description}\n \n \n
\n {/* Statistics information */}\n
\n
\n {t(\"stats.total\")}\n {module.stats.total}\n
\n
\n {t(\"stats.active\")}\n {module.stats.active}\n
\n
\n\n {/* Action buttons */}\n {module.status === \"available\" ? (\n \n \n \n ) : (\n \n )}\n
\n \n \n ))}\n
\n
\n\n {/* Quick actions */}\n
\n \n \n {t(\"quickActions.title\")}\n \n {t(\"quickActions.description\")}\n \n \n \n
\n \n \n \n
\n \n \n
\n
\n )\n}\n" }, { "path": "frontend/app/[locale]/tools/wordlists/page.tsx", "content": "\"use client\"\n\nimport { useState, useMemo } from \"react\"\nimport { FileText, Search, Trash2, Pencil } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { ScrollArea } from \"@/components/ui/scroll-area\"\nimport { Separator } from \"@/components/ui/separator\"\nimport { useWordlists, useDeleteWordlist } from \"@/hooks/use-wordlists\"\nimport { WordlistEditDialog } from \"@/components/tools/wordlist-edit-dialog\"\nimport { WordlistUploadDialog } from \"@/components/tools/wordlist-upload-dialog\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { toast } from \"sonner\"\nimport { cn } from \"@/lib/utils\"\nimport type { Wordlist } from \"@/types/wordlist.types\"\nimport { MasterDetailSkeleton } from \"@/components/ui/master-detail-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\n\nexport default function WordlistsPage() {\n const [selectedId, setSelectedId] = useState(null)\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [editingWordlist, setEditingWordlist] = useState(null)\n const [isEditDialogOpen, setIsEditDialogOpen] = useState(false)\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [wordlistToDelete, setWordlistToDelete] = useState(null)\n\n // Internationalization\n const tCommon = useTranslations(\"common\")\n const tConfirm = useTranslations(\"common.confirm\")\n const tNav = useTranslations(\"navigation\")\n const t = useTranslations(\"pages.wordlists\")\n const locale = useLocale()\n\n const { data, isLoading } = useWordlists({ page: 1, pageSize: 1000 })\n const deleteMutation = useDeleteWordlist()\n\n // Filter wordlist list\n const filteredWordlists = useMemo(() => {\n if (!data?.results) return []\n if (!searchQuery.trim()) return data.results\n const query = searchQuery.toLowerCase()\n return data.results.filter(\n (w) =>\n w.name.toLowerCase().includes(query) ||\n w.description?.toLowerCase().includes(query)\n )\n }, [data?.results, searchQuery])\n\n // Selected wordlist\n const selectedWordlist = useMemo(() => {\n if (!selectedId || !data?.results) return null\n return data.results.find((w) => w.id === selectedId) || null\n }, [selectedId, data?.results])\n\n const handleEdit = (wordlist: Wordlist) => {\n setEditingWordlist(wordlist)\n setIsEditDialogOpen(true)\n }\n\n const handleCopyId = (id: number) => {\n navigator.clipboard.writeText(String(id))\n toast.success(t(\"idCopied\"))\n }\n\n const handleDelete = (wordlist: Wordlist) => {\n setWordlistToDelete(wordlist)\n setDeleteDialogOpen(true)\n }\n\n const confirmDelete = () => {\n if (!wordlistToDelete) return\n deleteMutation.mutate(wordlistToDelete.id, {\n onSuccess: () => {\n if (selectedId === wordlistToDelete.id) {\n setSelectedId(null)\n }\n setDeleteDialogOpen(false)\n setWordlistToDelete(null)\n },\n })\n }\n\n const formatFileSize = (bytes?: number) => {\n if (bytes === undefined) return \"-\"\n if (bytes < 1024) return `${bytes} B`\n if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`\n return `${(bytes / (1024 * 1024)).toFixed(1)} MB`\n }\n\n // Loading state\n if (isLoading) {\n return \n }\n\n return (\n
\n {/* Top: Title + Search + Upload button */}\n
\n

{t(\"title\")}

\n
\n
\n \n setSearchQuery(e.target.value)}\n className=\"pl-8\"\n />\n
\n
\n \n
\n\n \n\n {/* Main: Left list + Right details */}\n
\n {/* Left: Wordlist list */}\n
\n
\n

\n {t(\"listTitle\")} ({filteredWordlists.length})\n

\n
\n \n {isLoading ? (\n
{t(\"loading\")}
\n ) : filteredWordlists.length === 0 ? (\n
\n {searchQuery ? t(\"noMatch\") : t(\"noData\")}\n
\n ) : (\n
\n {filteredWordlists.map((wordlist) => (\n setSelectedId(wordlist.id)}\n className={cn(\n \"w-full text-left rounded-lg px-3 py-2.5 transition-colors\",\n selectedId === wordlist.id\n ? \"bg-primary/10 text-primary\"\n : \"hover:bg-muted\"\n )}\n >\n
\n {wordlist.name}\n
\n
\n {wordlist.lineCount?.toLocaleString() ?? \"-\"} {t(\"lines\")} · {formatFileSize(wordlist.fileSize)}\n
\n \n ))}\n
\n )}\n \n
\n\n {/* Right: Wordlist details */}\n
\n {selectedWordlist ? (\n <>\n {/* Details header */}\n
\n
\n
\n \n
\n
\n

\n {selectedWordlist.name}\n

\n {selectedWordlist.description && (\n

\n {selectedWordlist.description}\n

\n )}\n
\n
\n
\n\n {/* Details content */}\n \n
\n {/* Basic information */}\n
\n
\n
\n
{t(\"rows\")}
\n
\n {selectedWordlist.lineCount?.toLocaleString() ?? \"-\"}\n
\n
\n
\n
{t(\"size\")}
\n
\n {formatFileSize(selectedWordlist.fileSize)}\n
\n
\n
\n \n
\n
\n {t(\"id\")}\n {selectedWordlist.id}\n
\n
\n {t(\"updatedAt\")}\n \n {new Date(selectedWordlist.updatedAt).toLocaleString(getDateLocale(locale))}\n \n
\n {selectedWordlist.fileHash && (\n
\n {t(\"hash\")}\n
\n {selectedWordlist.fileHash}\n
\n
\n )}\n
\n
\n
\n \n\n {/* Action buttons */}\n
\n handleEdit(selectedWordlist)}\n >\n \n {t(\"editContent\")}\n \n
\n handleDelete(selectedWordlist)}\n disabled={deleteMutation.isPending}\n >\n \n {t(\"delete\")}\n \n
\n \n ) : (\n // Unselected state\n
\n
\n \n

{t(\"selectHint\")}

\n
\n
\n )}\n
\n
\n\n {/* Edit dialog */}\n \n\n {/* Delete confirmation dialog */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteWordlistMessage\", { name: wordlistToDelete?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {deleteMutation.isPending ? tConfirm(\"deleting\") : tCommon(\"actions.delete\")}\n \n \n \n \n
\n )\n}\n" }, { "path": "frontend/app/[locale]/vulnerabilities/page.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport { VulnerabilitiesDetailView } from \"@/components/vulnerabilities\"\n\n/**\n * All vulnerabilities page\n * Displays all vulnerabilities in the system\n */\nexport default function VulnerabilitiesPage() {\n const t = useTranslations(\"vulnerabilities\")\n\n return (\n
\n {/* Page header */}\n
\n
\n

{t(\"title\")}

\n

{t(\"description\")}

\n
\n
\n\n {/* Vulnerability list */}\n
\n \n
\n
\n )\n}\n" }, { "path": "frontend/app/globals.css", "content": "@import \"tailwindcss\";\n@import \"tw-animate-css\";\n@import \"@xterm/xterm/css/xterm.css\";\n@import \"../styles/themes/index.css\";\n\n@custom-variant dark (&:is(.dark *));\n\n@theme inline {\n --color-background: var(--background);\n --color-foreground: var(--foreground);\n --color-sidebar-ring: var(--sidebar-ring);\n --color-sidebar-border: var(--sidebar-border);\n --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);\n --color-sidebar-accent: var(--sidebar-accent);\n --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);\n --color-sidebar-primary: var(--sidebar-primary);\n --color-sidebar-foreground: var(--sidebar-foreground);\n --color-sidebar: var(--sidebar);\n --color-chart-5: var(--chart-5);\n --color-chart-4: var(--chart-4);\n --color-chart-3: var(--chart-3);\n --color-chart-2: var(--chart-2);\n --color-chart-1: var(--chart-1);\n --color-ring: var(--ring);\n --color-input: var(--input);\n --color-border: var(--border);\n --color-destructive: var(--destructive);\n --color-accent-foreground: var(--accent-foreground);\n --color-accent: var(--accent);\n --color-muted-foreground: var(--muted-foreground);\n --color-muted: var(--muted);\n --color-secondary-foreground: var(--secondary-foreground);\n --color-secondary: var(--secondary);\n --color-primary-foreground: var(--primary-foreground);\n --color-primary: var(--primary);\n --color-popover-foreground: var(--popover-foreground);\n --color-popover: var(--popover);\n --color-card-foreground: var(--card-foreground);\n --color-card: var(--card);\n --radius-sm: calc(var(--radius) - 4px);\n --radius-md: calc(var(--radius) - 2px);\n --radius-lg: var(--radius);\n --radius-xl: calc(var(--radius) + 4px);\n --font-sans: 'Noto Sans SC', system-ui, -apple-system, PingFang SC, sans-serif;\n --font-mono: 'JetBrains Mono', 'Fira Code', Consolas, monospace;\n --font-serif: Georgia, 'Noto Serif SC', serif;\n --tracking-tighter: calc(var(--tracking-normal) - 0.05em);\n --tracking-tight: calc(var(--tracking-normal) - 0.025em);\n --tracking-wide: calc(var(--tracking-normal) + 0.025em);\n --tracking-wider: calc(var(--tracking-normal) + 0.05em);\n --tracking-widest: calc(var(--tracking-normal) + 0.1em);\n --tracking-normal: var(--tracking-normal);\n --shadow-2xl: var(--shadow-2xl);\n --shadow-xl: var(--shadow-xl);\n --shadow-lg: var(--shadow-lg);\n --shadow-md: var(--shadow-md);\n --shadow: var(--shadow);\n --shadow-sm: var(--shadow-sm);\n --shadow-xs: var(--shadow-xs);\n --shadow-2xs: var(--shadow-2xs);\n --spacing: var(--spacing);\n --letter-spacing: var(--letter-spacing);\n --shadow-offset-y: var(--shadow-offset-y);\n --shadow-offset-x: var(--shadow-offset-x);\n --shadow-spread: var(--shadow-spread);\n --shadow-blur: var(--shadow-blur);\n --shadow-opacity: var(--shadow-opacity);\n --color-shadow-color: var(--shadow-color);\n --color-destructive-foreground: var(--destructive-foreground);\n}\n\n/* 基础主题 - Vercel 风格 (黑白灰) */\n/* 只在没有设置 data-theme 时应用默认样式 */\n:root:not([data-theme]),\n[data-theme=\"vercel\"] {\n --radius: 0.5rem;\n --background: oklch(0.9900 0 0);\n --foreground: oklch(0 0 0);\n --card: oklch(1 0 0);\n --card-foreground: oklch(0 0 0);\n --popover: oklch(0.9900 0 0);\n --popover-foreground: oklch(0 0 0);\n --primary: oklch(0 0 0);\n --primary-foreground: oklch(1 0 0);\n --secondary: oklch(0.9400 0 0);\n --secondary-foreground: oklch(0 0 0);\n --muted: oklch(0.9700 0 0);\n --muted-foreground: oklch(0.4400 0 0);\n --accent: oklch(0.9400 0 0);\n --accent-foreground: oklch(0 0 0);\n --destructive: oklch(0.6300 0.1900 23.0300);\n --destructive-foreground: oklch(1 0 0);\n --border: oklch(0.9200 0 0);\n --input: oklch(0.9400 0 0);\n --ring: oklch(0 0 0);\n --chart-1: oklch(0.8100 0.1700 75.3500);\n --chart-2: oklch(0.5500 0.2200 264.5300);\n --chart-3: oklch(0.7200 0 0);\n --chart-4: oklch(0.9200 0 0);\n --chart-5: oklch(0.5600 0 0);\n --sidebar: oklch(0.9900 0 0);\n --sidebar-foreground: oklch(0 0 0);\n --sidebar-primary: oklch(0 0 0);\n --sidebar-primary-foreground: oklch(1 0 0);\n --sidebar-accent: oklch(0.9400 0 0);\n --sidebar-accent-foreground: oklch(0 0 0);\n --sidebar-border: oklch(0.9400 0 0);\n --sidebar-ring: oklch(0 0 0);\n --font-sans: 'Noto Sans SC', system-ui, -apple-system, PingFang SC, Hiragino Sans GB, Microsoft YaHei, sans-serif;\n --font-serif: Georgia, serif;\n --font-mono: 'JetBrains Mono', 'Fira Code', Consolas, monospace;\n --shadow-color: hsl(0 0% 0%);\n --shadow-opacity: 0.18;\n --shadow-blur: 2px;\n --shadow-spread: 0px;\n --shadow-offset-x: 0px;\n --shadow-offset-y: 1px;\n --letter-spacing: 0em;\n --spacing: 0.25rem;\n --shadow-2xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09);\n --shadow-xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09);\n --shadow-sm: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18);\n --shadow: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18);\n --shadow-md: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 2px 4px -1px hsl(0 0% 0% / 0.18);\n --shadow-lg: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 4px 6px -1px hsl(0 0% 0% / 0.18);\n --shadow-xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 8px 10px -1px hsl(0 0% 0% / 0.18);\n --shadow-2xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.45);\n --tracking-normal: 0em;\n}\n\n/* 基础主题 - 暗色模式 (Vercel 风格) */\n[data-theme=\"vercel\"].dark,\n:root:not([data-theme]).dark {\n --background: oklch(0 0 0);\n --foreground: oklch(1 0 0);\n --card: oklch(0.1400 0 0);\n --card-foreground: oklch(1 0 0);\n --popover: oklch(0.1800 0 0);\n --popover-foreground: oklch(1 0 0);\n --primary: oklch(1 0 0);\n --primary-foreground: oklch(0 0 0);\n --secondary: oklch(0.2500 0 0);\n --secondary-foreground: oklch(1 0 0);\n --muted: oklch(0.2300 0 0);\n --muted-foreground: oklch(0.7200 0 0);\n --accent: oklch(0.3200 0 0);\n --accent-foreground: oklch(1 0 0);\n --destructive: oklch(0.6900 0.2000 23.9100);\n --destructive-foreground: oklch(0 0 0);\n --border: oklch(0.2600 0 0);\n --input: oklch(0.3200 0 0);\n --ring: oklch(0.7200 0 0);\n --chart-1: oklch(0.8100 0.1700 75.3500);\n --chart-2: oklch(0.5800 0.2100 260.8400);\n --chart-3: oklch(0.5600 0 0);\n --chart-4: oklch(0.4400 0 0);\n --chart-5: oklch(0.9200 0 0);\n --sidebar: oklch(0.1800 0 0);\n --sidebar-foreground: oklch(1 0 0);\n --sidebar-primary: oklch(1 0 0);\n --sidebar-primary-foreground: oklch(0 0 0);\n --sidebar-accent: oklch(0.3200 0 0);\n --sidebar-accent-foreground: oklch(1 0 0);\n --sidebar-border: oklch(0.3200 0 0);\n --sidebar-ring: oklch(0.7200 0 0);\n}\n\n@layer base {\n\n html,\n body {\n height: 100%;\n }\n\n * {\n @apply border-border outline-ring/50;\n }\n\n body {\n @apply bg-background text-foreground;\n /* 禁止页面级滚动，滚动交给主内容容器 */\n overflow: hidden;\n letter-spacing: var(--tracking-normal);\n }\n\n /* 全局滚动条样式 - Webkit 浏览器 (Chrome, Safari, Edge) */\n ::-webkit-scrollbar {\n width: 10px;\n height: 10px;\n }\n\n ::-webkit-scrollbar-track {\n background: transparent;\n }\n\n ::-webkit-scrollbar-thumb {\n background: oklch(0.708 0 0 / 0.3);\n border-radius: 5px;\n border: 2px solid transparent;\n background-clip: padding-box;\n }\n\n ::-webkit-scrollbar-thumb:hover {\n background: oklch(0.708 0 0 / 0.5);\n border-radius: 5px;\n border: 2px solid transparent;\n background-clip: padding-box;\n }\n\n /* 暗色主题下的滚动条 */\n .dark ::-webkit-scrollbar-thumb {\n background: oklch(0.556 0 0 / 0.4);\n border-radius: 5px;\n border: 2px solid transparent;\n background-clip: padding-box;\n }\n\n .dark ::-webkit-scrollbar-thumb:hover {\n background: oklch(0.556 0 0 / 0.6);\n border-radius: 5px;\n border: 2px solid transparent;\n background-clip: padding-box;\n }\n\n /* Firefox 滚动条样式 */\n * {\n scrollbar-width: thin;\n scrollbar-color: oklch(0.708 0 0 / 0.3) transparent;\n }\n\n .dark * {\n scrollbar-color: oklch(0.556 0 0 / 0.4) transparent;\n }\n\n /* 隐藏滚动条但保持可滚动 */\n .scrollbar-hide {\n -ms-overflow-style: none;\n /* IE and Edge */\n scrollbar-width: none;\n /* Firefox */\n }\n\n .scrollbar-hide::-webkit-scrollbar {\n display: none;\n /* Chrome, Safari and Opera */\n }\n\n}\n\n/* 登录页背景 - 使用主题色适配亮暗模式 */\n.login-bg {\n position: relative;\n background-color: var(--background);\n}\n\n.login-bg::before {\n content: '';\n position: absolute;\n inset: 0;\n background-color: var(--primary);\n opacity: 0.04;\n mask-image: url(\"data:image/svg+xml,%3Csvg width='60' height='60' viewBox='0 0 60 60' xmlns='http://www.w3.org/2000/svg'%3E%3Cg fill='none' fill-rule='evenodd'%3E%3Cg fill='%23000' fill-opacity='1'%3E%3Cpath d='M36 34v-4h-2v4h-4v2h4v4h2v-4h4v-2h-4zm0-30V0h-2v4h-4v2h4v4h2V6h4V4h-4zM6 34v-4H4v4H0v2h4v4h2v-4h4v-2H6zM6 4V0H4v4H0v2h4v4h2V6h4V4H6z'/%3E%3C/g%3E%3C/g%3E%3C/svg%3E\");\n -webkit-mask-image: url(\"data:image/svg+xml,%3Csvg width='60' height='60' viewBox='0 0 60 60' xmlns='http://www.w3.org/2000/svg'%3E%3Cg fill='none' fill-rule='evenodd'%3E%3Cg fill='%23000' fill-opacity='1'%3E%3Cpath d='M36 34v-4h-2v4h-4v2h4v4h2v-4h4v-2h-4zm0-30V0h-2v4h-4v2h4v4h2V6h4V4h-4zM6 34v-4H4v4H0v2h4v4h2v-4h4v-2H6zM6 4V0H4v4H0v2h4v4h2V6h4V4H6z'/%3E%3C/g%3E%3C/g%3E%3C/svg%3E\");\n mask-size: 60px 60px;\n -webkit-mask-size: 60px 60px;\n pointer-events: none;\n z-index: 0;\n}\n\n.login-bg > * {\n position: relative;\n z-index: 1;\n}\n\n/* 通知铃铛摇晃动画 */\n@keyframes wiggle {\n 0%, 100% {\n transform: rotate(0deg);\n }\n 15% {\n transform: rotate(15deg);\n }\n 30% {\n transform: rotate(-12deg);\n }\n 45% {\n transform: rotate(8deg);\n }\n 60% {\n transform: rotate(-5deg);\n }\n 75% {\n transform: rotate(2deg);\n }\n}\n\n/* 进度条条纹动画 */\n@keyframes progress-stripes {\n from {\n background-position: 1rem 0;\n }\n to {\n background-position: 0 0;\n }\n}\n\n.progress-striped {\n background-image: linear-gradient(\n 45deg,\n rgba(255, 255, 255, 0.15) 25%,\n transparent 25%,\n transparent 50%,\n rgba(255, 255, 255, 0.15) 50%,\n rgba(255, 255, 255, 0.15) 75%,\n transparent 75%,\n transparent\n );\n background-size: 1rem 1rem;\n animation: progress-stripes 1s linear infinite;\n}\n\n/* 闪电闪烁动画 - 快速扫描按钮 */\n@keyframes flash {\n 0%, 90%, 100% {\n opacity: 1;\n transform: scale(1);\n filter: drop-shadow(0 0 2px rgba(250, 204, 21, 0.4));\n }\n 93% {\n opacity: 1;\n transform: scale(1.3);\n filter: drop-shadow(0 0 8px rgba(250, 204, 21, 0.8));\n }\n 96% {\n opacity: 0.6;\n transform: scale(1);\n filter: drop-shadow(0 0 2px rgba(250, 204, 21, 0.4));\n }\n}\n\n/* 按钮整体发光动画 */\n@keyframes glow {\n 0%, 85%, 100% {\n box-shadow: 0 0 0 transparent;\n }\n 90% {\n box-shadow: 0 0 12px oklch(from var(--primary) l c h / 0.5), 0 0 24px oklch(from var(--primary) l c h / 0.3);\n }\n 95% {\n box-shadow: 0 0 4px oklch(from var(--primary) l c h / 0.2);\n }\n}\n\n.animate-glow {\n animation: glow 3s ease-in-out infinite;\n}\n\n/* 边框流光动画 */\n@keyframes border-flow {\n 0% {\n transform: translateX(-100%) rotate(0deg);\n }\n 100% {\n transform: translateX(100%) rotate(0deg);\n }\n}\n\n.animate-border-flow {\n animation: border-flow 2s linear infinite;\n}" }, { "path": "frontend/app/layout.tsx", "content": "import type React from \"react\"\n\n/**\n * Root layout component\n * This is the outermost layout, actual content is handled by [locale]/layout.tsx\n */\nexport default function RootLayout({\n children,\n}: Readonly<{\n children: React.ReactNode\n}>) {\n return children\n}\n" }, { "path": "frontend/components/about-dialog.tsx", "content": "\"use client\"\n\nimport { useState } from 'react'\nimport { useTranslations } from 'next-intl'\nimport { useQueryClient } from '@tanstack/react-query'\nimport {\n IconRadar,\n IconRefresh,\n IconExternalLink,\n IconBrandGithub,\n IconMessageReport,\n IconBook,\n IconFileText,\n IconCheck,\n IconArrowUp,\n} from '@tabler/icons-react'\n\nimport {\n Dialog,\n DialogContent,\n DialogHeader,\n DialogTitle,\n DialogTrigger,\n} from '@/components/ui/dialog'\nimport { Button } from '@/components/ui/button'\nimport { Separator } from '@/components/ui/separator'\nimport { Badge } from '@/components/ui/badge'\nimport { useVersion } from '@/hooks/use-version'\nimport { VersionService } from '@/services/version.service'\nimport type { UpdateCheckResult } from '@/types/version.types'\n\ninterface AboutDialogProps {\n children: React.ReactNode\n}\n\nexport function AboutDialog({ children }: AboutDialogProps) {\n const t = useTranslations('about')\n const { data: versionData } = useVersion()\n const queryClient = useQueryClient()\n\n const [isChecking, setIsChecking] = useState(false)\n const [updateResult, setUpdateResult] = useState(null)\n const [checkError, setCheckError] = useState(null)\n\n const handleCheckUpdate = async () => {\n setIsChecking(true)\n setCheckError(null)\n try {\n const result = await VersionService.checkUpdate()\n setUpdateResult(result)\n queryClient.setQueryData(['check-update'], result)\n } catch {\n setCheckError(t('checkFailed'))\n } finally {\n setIsChecking(false)\n }\n }\n\n const currentVersion = updateResult?.currentVersion || versionData?.version || '-'\n const latestVersion = updateResult?.latestVersion\n const hasUpdate = updateResult?.hasUpdate\n\n return (\n \n \n {children}\n \n \n \n {t('title')}\n \n\n
\n {/* Logo and name */}\n
\n
\n \n
\n

XingRin

\n

{t('description')}

\n
\n\n {/* Version info */}\n
\n
\n {t('currentVersion')}\n {currentVersion}\n
\n\n {updateResult && (\n
\n {t('latestVersion')}\n
\n {latestVersion}\n {hasUpdate ? (\n \n \n {t('updateAvailable')}\n \n ) : (\n \n \n {t('upToDate')}\n \n )}\n
\n
\n )}\n\n {checkError && (\n

{checkError}

\n )}\n\n
\n \n \n {isChecking ? t('checking') : t('checkUpdate')}\n \n\n {hasUpdate && updateResult?.releaseUrl && (\n \n \n \n {t('viewRelease')}\n \n \n )}\n
\n\n {hasUpdate && (\n
\n

{t('updateHint')}

\n \n sudo ./update.sh\n \n
\n )}\n
\n\n \n\n {/* Links */}\n \n\n {/* Footer */}\n

\n © 2025 XingRin · MIT License\n

\n
\n \n \n )\n}\n" }, { "path": "frontend/components/app-sidebar.tsx", "content": "\"use client\" // Mark as client component, can use browser APIs and interactive features\n\n// Import React library\nimport type * as React from \"react\"\n// Import various icons from Tabler Icons library\nimport {\n IconDashboard, // Dashboard icon\n IconListDetails, // List details icon\n IconSettings, // Settings icon\n IconUsers, // Users icon\n IconChevronRight, // Right arrow icon\n IconRadar, // Radar scan icon\n IconTool, // Tool icon\n IconServer, // Server icon\n IconTerminal2, // Terminal icon\n IconBug, // Vulnerability icon\n IconSearch, // Search icon\n IconKey, // API Key icon\n IconBan, // Blacklist icon\n IconInfoCircle, // About icon\n} from \"@tabler/icons-react\"\n// Import internationalization hook\nimport { useTranslations } from 'next-intl'\n// Import internationalization navigation components\nimport { Link, usePathname } from '@/i18n/navigation'\n\n// Import custom navigation components\nimport { NavSystem } from \"@/components/nav-system\"\nimport { NavUser } from \"@/components/nav-user\"\nimport { AboutDialog } from \"@/components/about-dialog\"\n// Import sidebar UI components\nimport {\n Sidebar,\n SidebarContent,\n SidebarFooter,\n SidebarHeader,\n SidebarMenu,\n SidebarMenuButton,\n SidebarMenuItem,\n SidebarMenuSub,\n SidebarMenuSubButton,\n SidebarMenuSubItem,\n SidebarGroup,\n SidebarGroupContent,\n SidebarGroupLabel,\n SidebarRail,\n} from \"@/components/ui/sidebar\"\n// Import collapsible component\nimport {\n Collapsible,\n CollapsibleContent,\n CollapsibleTrigger,\n} from \"@/components/ui/collapsible\"\n\n/**\n * Application sidebar component\n * Displays the main navigation menu of the application, including user info, main menu, documents and secondary menu\n * Supports expand and collapse functionality for submenus\n * @param props - All properties of the Sidebar component\n */\nexport function AppSidebar({ ...props }: React.ComponentProps) {\n const t = useTranslations('navigation')\n const pathname = usePathname()\n const normalize = (p: string) => (p !== \"/\" && p.endsWith(\"/\") ? p.slice(0, -1) : p)\n const current = normalize(pathname)\n\n // User information\n const user = {\n name: \"admin\",\n email: \"admin@admin.com\",\n avatar: \"\",\n }\n\n // Main navigation menu items - using translations\n const navMain = [\n {\n title: t('dashboard'),\n url: \"/dashboard/\",\n icon: IconDashboard,\n },\n {\n title: t('search'),\n url: \"/search/\",\n icon: IconSearch,\n },\n {\n title: t('organization'),\n url: \"/organization/\",\n icon: IconUsers,\n },\n {\n title: t('target'),\n url: \"/target/\",\n icon: IconListDetails,\n },\n {\n title: t('vulnerabilities'),\n url: \"/vulnerabilities/\",\n icon: IconBug,\n },\n {\n title: t('scan'),\n url: \"/scan/\",\n icon: IconRadar,\n items: [\n {\n title: t('scanHistory'),\n url: \"/scan/history/\",\n },\n {\n title: t('scheduledScan'),\n url: \"/scan/scheduled/\",\n },\n {\n title: t('scanEngine'),\n url: \"/scan/engine/\",\n },\n ],\n },\n {\n title: t('tools'),\n url: \"/tools/\",\n icon: IconTool,\n items: [\n {\n title: t('wordlists'),\n url: \"/tools/wordlists/\",\n },\n {\n title: t('fingerprints'),\n url: \"/tools/fingerprints/\",\n },\n {\n title: t('nucleiTemplates'),\n url: \"/tools/nuclei/\",\n },\n ],\n },\n ]\n\n // System settings related menu items\n const documents = [\n {\n name: t('workers'),\n url: \"/settings/workers/\",\n icon: IconServer,\n },\n {\n name: t('systemLogs'),\n url: \"/settings/system-logs/\",\n icon: IconTerminal2,\n },\n {\n name: t('notifications'),\n url: \"/settings/notifications/\",\n icon: IconSettings,\n },\n {\n name: t('apiKeys'),\n url: \"/settings/api-keys/\",\n icon: IconKey,\n },\n {\n name: t('globalBlacklist'),\n url: \"/settings/blacklist/\",\n icon: IconBan,\n },\n ]\n\n return (\n // collapsible=\"icon\" means the sidebar can be collapsed to icon-only mode\n \n {/* Sidebar header */}\n \n \n \n \n \n \n XingRin\n \n \n \n \n \n\n {/* Sidebar main content area */}\n \n {/* Main navigation menu */}\n \n {t('mainFeatures')}\n \n \n {navMain.map((item) => {\n const navUrl = normalize(item.url)\n const isActive = navUrl === \"/\" ? current === \"/\" : current === navUrl || current.startsWith(navUrl + \"/\")\n const hasSubItems = item.items && item.items.length > 0\n\n if (!hasSubItems) {\n return (\n \n \n \n \n {item.title}\n \n \n \n )\n }\n\n return (\n \n \n \n \n \n {item.title}\n \n \n \n \n \n {item.items?.map((subItem) => {\n const subUrl = normalize(subItem.url)\n const isSubActive = current === subUrl || current.startsWith(subUrl + \"/\")\n return (\n \n \n \n {subItem.title}\n \n \n \n )\n })}\n \n \n \n \n )\n })}\n \n \n \n \n {/* System settings navigation menu */}\n \n {/* About system button */}\n \n \n \n \n \n \n \n {t('about')}\n \n \n \n \n \n \n \n\n {/* Sidebar footer */}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/auth/auth-guard.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useRouter, usePathname } from \"next/navigation\"\nimport { useAuth } from \"@/hooks/use-auth\"\nimport { LoadingState } from \"@/components/loading-spinner\"\n\n// Public routes that don't require authentication\nconst PUBLIC_ROUTES = [\"/login\"]\n// Skip authentication via environment variable (pnpm dev:noauth)\nconst SKIP_AUTH = process.env.NEXT_PUBLIC_SKIP_AUTH === 'true'\n\ninterface AuthGuardProps {\n children: React.ReactNode\n}\n\n/**\n * Authentication guard component\n * Protects routes that require login\n */\nexport function AuthGuard({ children }: AuthGuardProps) {\n const router = useRouter()\n const pathname = usePathname()\n const { data: auth, isLoading } = useAuth()\n\n // Check if it's a public route\n const isPublicRoute = PUBLIC_ROUTES.some((route) => \n pathname.startsWith(route)\n )\n\n React.useEffect(() => {\n // Skip processing in skip auth mode\n if (SKIP_AUTH) return\n // Skip processing during loading or for public routes\n if (isLoading || isPublicRoute) return\n\n // Redirect to login page if not authenticated\n if (!auth?.authenticated) {\n router.push(\"/login/\")\n }\n }, [auth, isLoading, isPublicRoute, router])\n\n // Skip auth mode\n if (SKIP_AUTH) {\n return <>{children}\n }\n\n // Show loading during authentication check\n if (isLoading) {\n return \n }\n\n // Render public routes directly\n if (isPublicRoute) {\n return <>{children}\n }\n\n // Don't render content if not authenticated (waiting for redirect)\n if (!auth?.authenticated) {\n return \n }\n\n // Render content if authenticated\n return <>{children}\n}\n" }, { "path": "frontend/components/auth/auth-layout.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { usePathname } from \"next/navigation\"\nimport { useTranslations } from \"next-intl\"\nimport { AppSidebar } from \"@/components/app-sidebar\"\nimport { SiteHeader } from \"@/components/site-header\"\nimport { SidebarInset, SidebarProvider } from \"@/components/ui/sidebar\"\nimport { Toaster } from \"@/components/ui/sonner\"\nimport { LoadingState } from \"@/components/loading-spinner\"\nimport { Suspense } from \"react\"\nimport { useAuth } from \"@/hooks/use-auth\"\nimport { useRouter } from \"next/navigation\"\n\n// Public routes that don't require authentication (without locale prefix)\nconst PUBLIC_ROUTES = [\"/login\"]\n\ninterface AuthLayoutProps {\n children: React.ReactNode\n}\n\n/**\n * Check if the current path is a public route\n * Handles internationalized paths like /en/login, /zh/login\n */\nfunction isPublicPath(pathname: string): boolean {\n // Remove locale prefix (e.g., /en/login -> /login, /zh/login -> /login)\n const pathWithoutLocale = pathname.replace(/^\\/[a-z]{2}(?=\\/|$)/, '')\n return PUBLIC_ROUTES.some((route) => \n pathWithoutLocale === route || pathWithoutLocale.startsWith(`${route}/`)\n )\n}\n\n/**\n * Authentication layout component\n * Decides whether to show sidebar based on login status and route\n */\nexport function AuthLayout({ children }: AuthLayoutProps) {\n const pathname = usePathname()\n const router = useRouter()\n const { data: auth, isLoading } = useAuth()\n const tCommon = useTranslations(\"common\")\n\n // Check if it's a public route (login page)\n const isPublicRoute = isPublicPath(pathname)\n\n // Redirect to login page if not authenticated (useEffect must be before all conditional returns)\n React.useEffect(() => {\n if (!isLoading && !auth?.authenticated && !isPublicRoute) {\n router.push(\"/login/\")\n }\n }, [auth, isLoading, isPublicRoute, router])\n\n // If it's login page, render content directly (without sidebar)\n if (isPublicRoute) {\n return (\n <>\n {children}\n \n \n )\n }\n\n // Loading or not authenticated\n if (isLoading || !auth?.authenticated) {\n return \n }\n\n // Authenticated - show full layout (with sidebar)\n return (\n \n \n \n \n
\n
\n }>\n {children}\n \n \n
\n
\n \n \n )\n}\n" }, { "path": "frontend/components/auth/change-password-dialog.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { useChangePassword } from \"@/hooks/use-auth\"\nimport { getErrorMessage } from \"@/lib/api-client\"\n\ninterface ChangePasswordDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n}\n\nexport function ChangePasswordDialog({ open, onOpenChange }: ChangePasswordDialogProps) {\n const t = useTranslations(\"auth.changePassword\")\n \n const [oldPassword, setOldPassword] = React.useState(\"\")\n const [newPassword, setNewPassword] = React.useState(\"\")\n const [confirmPassword, setConfirmPassword] = React.useState(\"\")\n const [error, setError] = React.useState(\"\")\n \n const { mutate: changePassword, isPending } = useChangePassword()\n\n const handleSubmit = (e: React.FormEvent) => {\n e.preventDefault()\n setError(\"\")\n \n if (newPassword !== confirmPassword) {\n setError(t(\"passwordMismatch\"))\n return\n }\n \n if (newPassword.length < 4) {\n setError(t(\"passwordTooShort\", { min: 4 }))\n return\n }\n \n changePassword(\n { oldPassword, newPassword },\n {\n onSuccess: () => {\n onOpenChange(false)\n setOldPassword(\"\")\n setNewPassword(\"\")\n setConfirmPassword(\"\")\n },\n onError: (err: unknown) => {\n setError(getErrorMessage(err))\n },\n }\n )\n }\n\n return (\n \n \n \n {t(\"title\")}\n {t(\"desc\")}\n \n
\n
\n
\n \n setOldPassword(e.target.value)}\n required\n autoFocus\n />\n
\n
\n \n setNewPassword(e.target.value)}\n required\n />\n
\n
\n \n setConfirmPassword(e.target.value)}\n required\n />\n
\n {error && (\n

{error}

\n )}\n
\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/auth/index.ts", "content": "export { AuthGuard } from \"./auth-guard\"\nexport { AuthLayout } from \"./auth-layout\"\nexport { ChangePasswordDialog } from \"./change-password-dialog\"\n" }, { "path": "frontend/components/color-theme-switcher.tsx", "content": "\"use client\"\n\nimport { useColorTheme, COLOR_THEMES, ColorThemeId } from \"@/hooks/use-color-theme\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport { Button } from \"@/components/ui/button\"\nimport { IconPalette, IconCheck } from \"@tabler/icons-react\"\nimport { useTranslations } from \"next-intl\"\n\n/**\n * Color theme switcher\n */\nexport function ColorThemeSwitcher() {\n const { theme, setTheme, mounted } = useColorTheme()\n const t = useTranslations(\"common.theme\")\n\n if (!mounted) {\n return (\n \n )\n }\n\n return (\n \n \n \n \n \n {COLOR_THEMES.map((t) => (\n {\n console.log('Switching theme to:', t.id)\n setTheme(t.id as ColorThemeId)\n }}\n className=\"flex items-center gap-2\"\n >\n {/* Color preview blocks */}\n
\n {t.colors.map((c, i) => (\n \n ))}\n
\n {t.name}\n {theme === t.id && }\n \n ))}\n \n \n )\n}\n" }, { "path": "frontend/components/common/bulk-add-urls-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState, useRef } from \"react\"\nimport { Plus, Link } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\n\nimport { Button } from \"@/components/ui/button\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n DialogTrigger,\n} from \"@/components/ui/dialog\"\nimport { Label } from \"@/components/ui/label\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { URLValidator, type TargetType } from \"@/lib/url-validator\"\nimport { useBulkCreateEndpoints } from \"@/hooks/use-endpoints\"\nimport { useBulkCreateWebsites } from \"@/hooks/use-websites\"\nimport { useBulkCreateDirectories } from \"@/hooks/use-directories\"\n\nexport type AssetType = 'endpoint' | 'website' | 'directory'\n\ninterface BulkAddUrlsDialogProps {\n targetId: number\n assetType: AssetType\n targetName?: string // Target name (used for URL matching validation)\n targetType?: TargetType // Target type (domain/ip/cidr)\n open?: boolean\n onOpenChange?: (open: boolean) => void\n onSuccess?: () => void\n}\n\nconst ASSET_TYPE_LABELS: Record = {\n endpoint: {\n title: 'Bulk Add Endpoints',\n description: 'Enter endpoint URL list, one per line.',\n placeholder: `Please enter endpoint URLs, one per line\nExample:\nhttps://example.com/api/v1\nhttps://example.com/api/v2\nhttps://example.com/login`,\n },\n website: {\n title: 'Bulk Add Websites',\n description: 'Enter website URL list, one per line.',\n placeholder: `Please enter website URLs, one per line\nExample:\nhttps://example.com\nhttps://www.example.com\nhttps://api.example.com`,\n },\n directory: {\n title: 'Bulk Add Directories',\n description: 'Enter directory URL list, one per line.',\n placeholder: `Please enter directory URLs, one per line\nExample:\nhttps://example.com/admin\nhttps://example.com/api\nhttps://example.com/uploads`,\n },\n}\n\n/**\n * Bulk add URLs dialog component\n * \n * Supports three asset types: Endpoints, Websites, Directories.\n * Provides text input with line numbers, supports real-time validation and error hints.\n */\nexport function BulkAddUrlsDialog({\n targetId,\n assetType,\n targetName,\n targetType,\n open: externalOpen,\n onOpenChange: externalOnOpenChange,\n onSuccess,\n}: BulkAddUrlsDialogProps) {\n const tBulkAdd = useTranslations(\"bulkAdd.common\")\n \n // Dialog open/close state\n const [internalOpen, setInternalOpen] = useState(false)\n const open = externalOpen !== undefined ? externalOpen : internalOpen\n const setOpen = externalOnOpenChange || setInternalOpen\n\n // Form data state\n const [inputText, setInputText] = useState(\"\")\n\n // Validation result state\n const [validationResult, setValidationResult] = useState<{\n validCount: number\n invalidCount: number\n duplicateCount: number\n mismatchedCount: number\n firstError?: { index: number; url: string; error: string }\n firstMismatch?: { index: number; url: string }\n } | null>(null)\n\n // Line number column and textarea refs (for synchronized scrolling)\n const lineNumbersRef = useRef(null)\n const textareaRef = useRef(null)\n\n // Use bulk create mutations\n const bulkCreateEndpoints = useBulkCreateEndpoints()\n const bulkCreateWebsites = useBulkCreateWebsites()\n const bulkCreateDirectories = useBulkCreateDirectories()\n\n // Select corresponding mutation based on asset type\n const getMutation = () => {\n switch (assetType) {\n case 'endpoint':\n return bulkCreateEndpoints\n case 'website':\n return bulkCreateWebsites\n case 'directory':\n return bulkCreateDirectories\n }\n }\n\n const mutation = getMutation()\n const labels = ASSET_TYPE_LABELS[assetType]\n\n // Handle input changes\n const handleInputChange = (value: string) => {\n setInputText(value)\n\n // Parse and validate\n const parsed = URLValidator.parse(value)\n if (parsed.length === 0) {\n setValidationResult(null)\n return\n }\n\n const result = URLValidator.validateBatch(parsed, targetName, targetType)\n setValidationResult({\n validCount: result.validCount,\n invalidCount: result.invalidCount,\n duplicateCount: result.duplicateCount,\n mismatchedCount: result.mismatchedCount,\n firstError: result.invalidItems[0]\n ? {\n index: result.invalidItems[0].index,\n url: result.invalidItems[0].url,\n error: result.invalidItems[0].error || tBulkAdd(\"formatInvalid\"),\n }\n : undefined,\n firstMismatch: result.mismatchedItems[0]\n ? {\n index: result.mismatchedItems[0].index,\n url: result.mismatchedItems[0].url,\n }\n : undefined,\n })\n }\n\n // Handle form submission\n const handleSubmit = async (e: React.FormEvent) => {\n e.preventDefault()\n\n if (!inputText.trim()) return\n if (!validationResult || validationResult.validCount === 0) return\n\n // Parse valid URLs\n const parsed = URLValidator.parse(inputText)\n const result = URLValidator.validateBatch(parsed)\n\n mutation.mutate(\n { targetId, urls: result.urls },\n {\n onSuccess: () => {\n // Reset form\n setInputText(\"\")\n setValidationResult(null)\n // Close dialog\n setOpen(false)\n // Call external callback\n onSuccess?.()\n },\n }\n )\n }\n\n // Handle dialog close\n const handleOpenChange = (newOpen: boolean) => {\n if (!mutation.isPending) {\n setOpen(newOpen)\n if (!newOpen) {\n setInputText(\"\")\n setValidationResult(null)\n }\n }\n }\n\n // Synchronized scrolling\n const handleTextareaScroll = (e: React.UIEvent) => {\n if (lineNumbersRef.current) {\n lineNumbersRef.current.scrollTop = e.currentTarget.scrollTop\n }\n }\n\n // Calculate line count\n const lineCount = Math.max(inputText.split(\"\\n\").length, 8)\n\n // Form validation: valid count > 0, invalid count = 0, mismatch count = 0 (except CIDR type)\n const hasMismatchError = validationResult !== null && \n validationResult.mismatchedCount > 0 && \n targetType !== 'cidr' // CIDR type cannot be validated on frontend, don't block submission\n \n const isFormValid =\n inputText.trim().length > 0 &&\n validationResult !== null &&\n validationResult.validCount > 0 &&\n validationResult.invalidCount === 0 &&\n !hasMismatchError\n\n return (\n \n {externalOpen === undefined && (\n \n \n \n )}\n\n \n \n \n \n {labels.title}\n \n \n {labels.description}\n \n \n\n
\n
\n
\n \n
\n {/* Line number column */}\n
\n \n {Array.from({ length: lineCount }, (_, i) => (\n
\n {i + 1}\n
\n ))}\n
\n
\n {/* Input box */}\n
\n handleInputChange(e.target.value)}\n onScroll={handleTextareaScroll}\n placeholder={labels.placeholder}\n disabled={mutation.isPending}\n className=\"font-mono h-full overflow-y-auto resize-none border-0 focus-visible:ring-0 focus-visible:ring-offset-0 leading-[1.4] text-sm py-3\"\n style={{ lineHeight: \"20px\" }}\n />\n
\n
\n\n {/* Validation summary */}\n {validationResult && (\n
\n
\n Valid: {validationResult.validCount} items\n {validationResult.duplicateCount > 0 && (\n \n Duplicate: {validationResult.duplicateCount} items\n \n )}\n {validationResult.invalidCount > 0 && (\n \n Invalid: {validationResult.invalidCount} items\n \n )}\n {validationResult.mismatchedCount > 0 && (\n \n Mismatched: {validationResult.mismatchedCount} items\n \n )}\n
\n {validationResult.firstError && (\n
\n Line {validationResult.firstError.index + 1}: "\n {validationResult.firstError.url.length > 50 \n ? validationResult.firstError.url.substring(0, 50) + '...'\n : validationResult.firstError.url}" -{\" \"}\n {validationResult.firstError.error}\n
\n )}\n {validationResult.firstMismatch && !validationResult.firstError && (\n
\n Line {validationResult.firstMismatch.index + 1}: "\n {validationResult.firstMismatch.url.length > 50 \n ? validationResult.firstMismatch.url.substring(0, 50) + '...'\n : validationResult.firstMismatch.url}" - \n URL does not belong to target {targetName}, please remove before submitting\n
\n )}\n
\n )}\n
\n
\n\n \n handleOpenChange(false)}\n disabled={mutation.isPending}\n >\n Cancel\n \n \n {mutation.isPending ? (\n <>\n \n Creating...\n \n ) : (\n <>\n \n Bulk Add\n \n )}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/common/smart-filter-input.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { IconSearch } from \"@tabler/icons-react\"\nimport { useTranslations } from \"next-intl\"\nimport {\n Command,\n CommandEmpty,\n CommandGroup,\n CommandItem,\n CommandList,\n} from \"@/components/ui/command\"\nimport {\n Popover,\n PopoverContent,\n PopoverAnchor,\n} from \"@/components/ui/popover\"\nimport { Button } from \"@/components/ui/button\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Input } from \"@/components/ui/input\"\n\n// Available filter field definitions\nexport interface FilterField {\n key: string\n label: string\n description: string\n}\n\n// Predefined field configurations, pages can choose to use\nexport const PREDEFINED_FIELDS: Record = {\n ip: { key: \"ip\", label: \"IP\", description: \"IP address\" },\n port: { key: \"port\", label: \"Port\", description: \"Port number\" },\n host: { key: \"host\", label: \"Host\", description: \"Hostname\" },\n domain: { key: \"domain\", label: \"Domain\", description: \"Domain name\" },\n url: { key: \"url\", label: \"URL\", description: \"Full URL\" },\n status: { key: \"status\", label: \"Status\", description: \"HTTP status code\" },\n title: { key: \"title\", label: \"Title\", description: \"Page title\" },\n source: { key: \"source\", label: \"Source\", description: \"Data source\" },\n path: { key: \"path\", label: \"Path\", description: \"URL path\" },\n severity: { key: \"severity\", label: \"Severity\", description: \"Vulnerability severity\" },\n name: { key: \"name\", label: \"Name\", description: \"Name\" },\n type: { key: \"type\", label: \"Type\", description: \"Type\" },\n}\n\n// Get translated predefined fields\nexport function getTranslatedFields(t: (key: string) => string): Record {\n return {\n ip: { key: \"ip\", label: \"IP\", description: t(\"fields.ip\") },\n port: { key: \"port\", label: \"Port\", description: t(\"fields.port\") },\n host: { key: \"host\", label: \"Host\", description: t(\"fields.host\") },\n domain: { key: \"domain\", label: \"Domain\", description: t(\"fields.domain\") },\n url: { key: \"url\", label: \"URL\", description: t(\"fields.url\") },\n status: { key: \"status\", label: \"Status\", description: t(\"fields.status\") },\n title: { key: \"title\", label: \"Title\", description: t(\"fields.title\") },\n source: { key: \"source\", label: \"Source\", description: t(\"fields.source\") },\n path: { key: \"path\", label: \"Path\", description: t(\"fields.path\") },\n severity: { key: \"severity\", label: \"Severity\", description: t(\"fields.severity\") },\n name: { key: \"name\", label: \"Name\", description: t(\"fields.name\") },\n type: { key: \"type\", label: \"Type\", description: t(\"fields.type\") },\n }\n}\n\n// Default fields (IP Addresses page)\nconst DEFAULT_FIELDS: FilterField[] = [\n PREDEFINED_FIELDS.ip,\n PREDEFINED_FIELDS.port,\n PREDEFINED_FIELDS.host,\n]\n\n// History storage key\nconst FILTER_HISTORY_KEY = 'smart_filter_history'\nconst MAX_HISTORY_PER_FIELD = 10\n\n// Get history values for a field\nfunction getFieldHistory(field: string): string[] {\n if (typeof window === 'undefined') return []\n try {\n const history = JSON.parse(localStorage.getItem(FILTER_HISTORY_KEY) || '{}')\n return history[field] || []\n } catch {\n return []\n }\n}\n\n// Save a value to field history\nfunction saveFieldHistory(field: string, value: string) {\n if (typeof window === 'undefined' || !value.trim()) return\n try {\n const history = JSON.parse(localStorage.getItem(FILTER_HISTORY_KEY) || '{}')\n const fieldHistory = (history[field] || []).filter((v: string) => v !== value)\n fieldHistory.unshift(value)\n history[field] = fieldHistory.slice(0, MAX_HISTORY_PER_FIELD)\n localStorage.setItem(FILTER_HISTORY_KEY, JSON.stringify(history))\n } catch {\n // ignore\n }\n}\n\n// Extract field-value pairs from query and save to history\nfunction saveQueryHistory(query: string) {\n const regex = /(\\w+)(==|!=|=)\"([^\"]+)\"/g\n let match\n while ((match = regex.exec(query)) !== null) {\n const [, field, , value] = match\n saveFieldHistory(field, value)\n }\n}\n\n// Parse filter expression (FOFA style)\ninterface ParsedFilter {\n field: string\n operator: string\n value: string\n raw: string\n}\n\nfunction parseFilterExpression(input: string): ParsedFilter[] {\n const filters: ParsedFilter[] = []\n // Match FOFA style: field=\"value\", field==\"value\", field!=\"value\"\n // == exact match, = fuzzy match, != not equals\n // Support comma-separated multiple values: port=\"80,443,8080\"\n const regex = /(\\w+)(==|!=|=)\"([^\"]+)\"/g\n let match\n\n while ((match = regex.exec(input)) !== null) {\n const [raw, field, operator, value] = match\n filters.push({ field, operator, value, raw })\n }\n\n return filters\n}\n\ninterface SmartFilterInputProps {\n /** Available filter fields, uses default fields if not provided */\n fields?: FilterField[]\n /** Combination examples (complete examples using logical operators) */\n examples?: string[]\n placeholder?: string\n /** Controlled mode: current filter value */\n value?: string\n onSearch?: (filters: ParsedFilter[], rawQuery: string) => void\n className?: string\n}\n\nexport function SmartFilterInput({\n fields = DEFAULT_FIELDS,\n examples,\n placeholder,\n value,\n onSearch,\n className,\n}: SmartFilterInputProps) {\n const t = useTranslations(\"filter\")\n const [open, setOpen] = React.useState(false)\n const [inputValue, setInputValue] = React.useState(value ?? \"\")\n const inputRef = React.useRef(null)\n const ghostRef = React.useRef(null)\n const listRef = React.useRef(null)\n const savedScrollTop = React.useRef(null)\n const hasInitialized = React.useRef(false)\n\n // Calculate ghost text suggestion\n const ghostText = React.useMemo(() => {\n if (!inputValue) return \"\"\n \n // Get the last word/token being typed\n const lastSpaceIndex = inputValue.lastIndexOf(' ')\n const currentToken = lastSpaceIndex === -1 ? inputValue : inputValue.slice(lastSpaceIndex + 1)\n const lowerToken = currentToken.toLowerCase()\n \n // If empty token after space, check if previous expression is complete\n if (!currentToken && inputValue.trim()) {\n // Check if last expression is complete (ends with \")\n if (inputValue.trimEnd().endsWith('\"')) {\n return '&& '\n }\n return \"\"\n }\n \n if (!currentToken) return \"\"\n \n // Priority 1: Field name completion (no = in token)\n if (!currentToken.includes('=') && !currentToken.includes('!')) {\n // Find matching field first\n const matchingField = fields.find(f => \n f.key.toLowerCase().startsWith(lowerToken) && \n f.key.toLowerCase() !== lowerToken\n )\n if (matchingField) {\n return matchingField.key.slice(currentToken.length) + '=\"'\n }\n \n // If exact match of field name, suggest =\" \n const exactField = fields.find(f => f.key.toLowerCase() === lowerToken)\n if (exactField) {\n return '=\"'\n }\n \n // Priority 2: Logical operators (only if no field matches)\n if ('&&'.startsWith(currentToken) && currentToken.startsWith('&')) {\n return '&&'.slice(currentToken.length) + ' '\n }\n if ('||'.startsWith(currentToken) && currentToken.startsWith('|')) {\n return '||'.slice(currentToken.length) + ' '\n }\n // 'and' / 'or' only if no field name starts with these\n if (!matchingField) {\n if ('and'.startsWith(lowerToken) && lowerToken.length > 0 && !fields.some(f => f.key.toLowerCase().startsWith(lowerToken))) {\n return 'and'.slice(lowerToken.length) + ' '\n }\n if ('or'.startsWith(lowerToken) && lowerToken.length > 0 && !fields.some(f => f.key.toLowerCase().startsWith(lowerToken))) {\n return 'or'.slice(lowerToken.length) + ' '\n }\n }\n \n return \"\"\n }\n \n // Check if typing ! for != operator\n if (currentToken.match(/^(\\w+)!$/)) {\n return '=\"'\n }\n \n // Check if typing = and might want == \n const singleEqMatch = currentToken.match(/^(\\w+)=$/)\n if (singleEqMatch) {\n // Suggest \" for fuzzy match (most common)\n return '\"'\n }\n \n // Check if typed == or != (no opening quote yet)\n const doubleOpMatch = currentToken.match(/^(\\w+)(==|!=)$/)\n if (doubleOpMatch) {\n return '\"'\n }\n \n // Check if typing a value (has = and opening quote)\n const eqMatch = currentToken.match(/^(\\w+)(==|!=|=)\"([^\"]*)$/)\n if (eqMatch) {\n const [, field, , partialValue] = eqMatch\n // Get history for this field\n const history = getFieldHistory(field)\n // Find matching history value\n const matchingValue = history.find(v => \n v.toLowerCase().startsWith(partialValue.toLowerCase()) &&\n v.toLowerCase() !== partialValue.toLowerCase()\n )\n if (matchingValue) {\n return matchingValue.slice(partialValue.length) + '\"'\n }\n // If value has content but no closing quote, suggest closing quote\n if (partialValue.length > 0) {\n return '\"'\n }\n }\n \n // Check if a complete expression just finished (ends with \")\n if (currentToken.match(/^\\w+(==|!=|=)\"[^\"]+\"$/)) {\n return ' && '\n }\n \n return \"\"\n }, [inputValue, fields])\n\n // Synchronize external value changes\n React.useEffect(() => {\n if (value !== undefined) {\n setInputValue(value)\n }\n }, [value])\n\n // When Popover opens, restore scroll position (scroll to top on first open)\n React.useEffect(() => {\n if (open) {\n const restoreScroll = () => {\n if (listRef.current) {\n if (!hasInitialized.current) {\n // First open, scroll to top\n listRef.current.scrollTop = 0\n hasInitialized.current = true\n } else if (savedScrollTop.current !== null) {\n // Later restore saved scroll position\n listRef.current.scrollTop = savedScrollTop.current\n }\n }\n }\n // Execute immediately\n restoreScroll()\n // Delayed execution to ensure Popover animation completes\n const timer = setTimeout(restoreScroll, 50)\n return () => clearTimeout(timer)\n } else {\n // Save scroll position when Popover closes\n if (listRef.current) {\n savedScrollTop.current = listRef.current.scrollTop\n }\n }\n }, [open])\n\n // Generate default placeholder (use first example or field combination)\n const defaultPlaceholder = React.useMemo(() => {\n if (examples && examples.length > 0) {\n return examples[0]\n }\n // Use fields to generate simple example\n return fields.slice(0, 2).map(f => `${f.key}=\"...\"`).join(\" && \")\n }, [fields, examples])\n\n // Parse current input\n const parsedFilters = parseFilterExpression(inputValue)\n\n // Get current word being typed\n const getCurrentWord = () => {\n const words = inputValue.split(/\\s+/)\n return words[words.length - 1] || \"\"\n }\n\n const currentWord = getCurrentWord()\n\n // Determine whether to show field suggestions (FOFA style uses = instead of :)\n const showFieldSuggestions = !currentWord.includes(\"=\")\n\n // Handle selecting suggestion (FOFA style: field=\"\"), then close popover\n const handleSelectSuggestion = (suggestion: string) => {\n const words = inputValue.split(/\\s+/)\n words[words.length - 1] = suggestion\n const newValue = words.join(\" \")\n setInputValue(newValue)\n setOpen(false)\n inputRef.current?.blur()\n }\n\n // Handle search\n const handleSearch = () => {\n // Save query values to history\n saveQueryHistory(inputValue)\n onSearch?.(parsedFilters, inputValue)\n setOpen(false)\n }\n\n // Accept ghost text suggestion\n const acceptGhostText = () => {\n if (ghostText) {\n setInputValue(inputValue + ghostText)\n return true\n }\n return false\n }\n\n // Handle keyboard events\n const handleKeyDown = (e: React.KeyboardEvent) => {\n if (e.key === \"Tab\" && ghostText) {\n e.preventDefault()\n acceptGhostText()\n }\n if (e.key === \"Enter\" && !e.shiftKey) {\n e.preventDefault()\n handleSearch()\n }\n if (e.key === \"Escape\") {\n setOpen(false)\n }\n // Right arrow at end of input accepts ghost text\n if (e.key === \"ArrowRight\" && ghostText) {\n const input = inputRef.current\n if (input && input.selectionStart === input.value.length) {\n e.preventDefault()\n acceptGhostText()\n }\n }\n }\n\n // Append example to input box (not overwrite), then close popover\n const handleAppendExample = (example: string) => {\n const trimmed = inputValue.trim()\n const newValue = trimmed ? `${trimmed} ${example}` : example\n setInputValue(newValue)\n setOpen(false)\n inputRef.current?.blur()\n }\n\n return (\n
\n
\n \n \n
\n {\n setInputValue(e.target.value)\n if (!open) setOpen(true)\n }}\n onFocus={() => setOpen(true)}\n onBlur={(e) => {\n // If focus moves to inside Popover or input itself, don't close\n const relatedTarget = e.relatedTarget as HTMLElement | null\n if (relatedTarget?.closest('[data-radix-popper-content-wrapper]')) {\n return\n }\n // Delay close to let CommandItem's onSelect execute first\n setTimeout(() => setOpen(false), 150)\n }}\n onKeyDown={handleKeyDown}\n placeholder={placeholder || defaultPlaceholder}\n className=\"h-8 w-full font-mono text-sm\"\n />\n {/* Ghost text overlay */}\n {ghostText && (\n
\n \n {inputValue}\n {ghostText}\n \n
\n )}\n
\n \n e.preventDefault()}\n onCloseAutoFocus={(e) => e.preventDefault()}\n onPointerDownOutside={(e) => {\n // If clicking on input box, don't close popover\n if (inputRef.current?.contains(e.target as Node)) {\n e.preventDefault()\n }\n }}\n >\n \n \n {/* Preview of parsed filter conditions */}\n {parsedFilters.length > 0 && (\n \n
\n {parsedFilters.map((filter, i) => (\n \n {filter.raw}\n \n ))}\n
\n \n )}\n\n {/* Available fields */}\n {showFieldSuggestions && (\n \n
\n {fields.filter(\n (f) => !currentWord || f.key.startsWith(currentWord.toLowerCase())\n ).map((field) => (\n handleSelectSuggestion(`${field.key}=\"`)}\n >\n {field.key}\n \n ))}\n
\n \n )}\n\n {/* Syntax help */}\n \n
\n {/* Match operators */}\n
\n
{t(\"syntax.operators\")}
\n
\n =\n {t(\"syntax.containsFuzzy\")}\n ==\n {t(\"syntax.exactMatch\")}\n !=\n {t(\"syntax.notEquals\")}\n
\n
\n {/* Logical operators */}\n
\n
{t(\"syntax.logic\")}
\n
\n || or\n {t(\"syntax.matchAny\")}\n && and space\n {t(\"syntax.matchAll\")}\n
\n
\n
\n \n\n {/* Examples */}\n {examples && examples.length > 0 && (\n \n {examples.map((example, i) => (\n handleAppendExample(example)}\n >\n {example}\n \n ))}\n \n )}\n\n {t(\"empty\")}\n \n \n \n \n \n
\n
\n )\n}\n\nexport { parseFilterExpression, DEFAULT_FIELDS, type ParsedFilter }\n" }, { "path": "frontend/components/dashboard/asset-distribution-chart.tsx", "content": "\"use client\"\n\nimport { useMemo } from \"react\"\nimport { Bar, BarChart, Cell, LabelList, XAxis, YAxis } from \"recharts\"\nimport { useAssetStatistics } from \"@/hooks/use-dashboard\"\nimport {\n Card,\n CardContent,\n CardDescription,\n CardHeader,\n CardTitle,\n} from \"@/components/ui/card\"\nimport {\n ChartConfig,\n ChartContainer,\n ChartTooltip,\n ChartTooltipContent,\n} from \"@/components/ui/chart\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { useTranslations } from \"next-intl\"\n\n// Use CSS variables, follow theme changes\nconst COLORS = {\n subdomain: \"var(--chart-1)\",\n ip: \"var(--chart-2)\",\n endpoint: \"var(--chart-3)\",\n website: \"var(--chart-4)\",\n}\n\nexport function AssetDistributionChart() {\n const { data, isLoading } = useAssetStatistics()\n const t = useTranslations(\"dashboard.assetDistribution\")\n\n const chartConfig = useMemo(() => ({\n count: {\n label: t(\"count\"),\n },\n subdomain: {\n label: t(\"subdomains\"),\n color: COLORS.subdomain,\n },\n ip: {\n label: t(\"ipAddresses\"),\n color: COLORS.ip,\n },\n endpoint: {\n label: t(\"endpoints\"),\n color: COLORS.endpoint,\n },\n website: {\n label: t(\"websites\"),\n color: COLORS.website,\n },\n } satisfies ChartConfig), [t])\n\n const chartData = useMemo(() => [\n { name: t(\"subdomains\"), count: data?.totalSubdomains ?? 0, fill: COLORS.subdomain },\n { name: t(\"ipAddresses\"), count: data?.totalIps ?? 0, fill: COLORS.ip },\n { name: t(\"endpoints\"), count: data?.totalEndpoints ?? 0, fill: COLORS.endpoint },\n { name: t(\"websites\"), count: data?.totalWebsites ?? 0, fill: COLORS.website },\n ], [data, t])\n\n const total = chartData.reduce((sum, item) => sum + item.count, 0)\n\n return (\n \n \n {t(\"title\")}\n {t(\"description\")}\n \n \n {isLoading ? (\n
\n \n \n \n \n
\n ) : (\n <>\n \n \n \n \n }\n />\n \n {chartData.map((entry, index) => (\n \n ))}\n \n \n \n \n
\n {t(\"totalAssets\")}:\n {total}\n
\n \n )}\n \n \n )\n}\n" }, { "path": "frontend/components/dashboard/asset-trend-chart.tsx", "content": "\"use client\"\n\nimport { useState, useMemo } from \"react\"\nimport { CartesianGrid, Line, LineChart, XAxis, YAxis } from \"recharts\"\nimport { useStatisticsHistory } from \"@/hooks/use-dashboard\"\nimport type { StatisticsHistoryItem } from \"@/types/dashboard.types\"\nimport { useTranslations } from \"next-intl\"\n\n/**\n * Fill missing date data, ensure always returning complete days\n * Based on the earliest record date, fill backwards, missing dates filled with 0\n */\nfunction fillMissingDates(data: StatisticsHistoryItem[] | undefined, days: number): StatisticsHistoryItem[] {\n if (!data || data.length === 0) return []\n \n // Build mapping from date to data\n const dataMap = new Map(data.map(item => [item.date, item]))\n \n // Find the earliest date\n const earliestDate = new Date(data[0].date)\n \n // Generate complete date list (starting from days-1 days before earliest date)\n const result: StatisticsHistoryItem[] = []\n const startDate = new Date(earliestDate)\n startDate.setDate(startDate.getDate() - (days - data.length))\n \n for (let i = 0; i < days; i++) {\n const currentDate = new Date(startDate)\n currentDate.setDate(startDate.getDate() + i)\n const dateStr = currentDate.toISOString().split('T')[0]\n \n const existing = dataMap.get(dateStr)\n if (existing) {\n result.push(existing)\n } else {\n // Fill missing dates with 0\n result.push({\n date: dateStr,\n totalTargets: 0,\n totalSubdomains: 0,\n totalIps: 0,\n totalEndpoints: 0,\n totalWebsites: 0,\n totalVulns: 0,\n totalAssets: 0,\n })\n }\n }\n \n return result\n}\nimport {\n Card,\n CardContent,\n CardDescription,\n CardHeader,\n CardTitle,\n} from \"@/components/ui/card\"\nimport {\n ChartConfig,\n ChartContainer,\n} from \"@/components/ui/chart\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\n\n// Data series key type\ntype SeriesKey = 'totalSubdomains' | 'totalIps' | 'totalEndpoints' | 'totalWebsites'\n\n// All series\nconst ALL_SERIES: SeriesKey[] = ['totalSubdomains', 'totalIps', 'totalEndpoints', 'totalWebsites']\n\nexport function AssetTrendChart() {\n const { data: rawData, isLoading } = useStatisticsHistory(7)\n const [activeData, setActiveData] = useState(null)\n const t = useTranslations(\"dashboard.assetTrend\")\n \n // Dynamically configure chartConfig using translations\n const chartConfig = useMemo(() => ({\n totalSubdomains: {\n label: t(\"subdomains\"),\n color: \"#3b82f6\", // Blue\n },\n totalIps: {\n label: t(\"ips\"),\n color: \"#f97316\", // Orange\n },\n totalEndpoints: {\n label: t(\"endpoints\"),\n color: \"#eab308\", // Yellow\n },\n totalWebsites: {\n label: t(\"websites\"),\n color: \"#22c55e\", // Green\n },\n } satisfies ChartConfig), [t])\n \n // Visible series state (show all by default)\n const [visibleSeries, setVisibleSeries] = useState>(new Set(ALL_SERIES))\n \n // Currently hovered line\n const [hoveredLine, setHoveredLine] = useState(null)\n \n // Toggle series visibility\n const toggleSeries = (key: SeriesKey) => {\n setVisibleSeries(prev => {\n const next = new Set(prev)\n if (next.has(key)) {\n // Keep at least one visible\n if (next.size > 1) {\n next.delete(key)\n }\n } else {\n next.add(key)\n }\n return next\n })\n }\n\n // Fill missing dates, ensure always showing 7 days\n const data = useMemo(() => fillMissingDates(rawData, 7), [rawData])\n\n // Format date display\n const formatDate = (dateStr: string) => {\n const date = new Date(dateStr)\n return `${date.getMonth() + 1}/${date.getDate()}`\n }\n\n // Format large numbers (1K, 1M etc.)\n const formatNumber = (value: number) => {\n if (value >= 1000000) {\n return `${(value / 1000000).toFixed(1)}M`\n }\n if (value >= 1000) {\n return `${(value / 1000).toFixed(1)}K`\n }\n return value.toString()\n }\n\n // Get latest data (use latest value from raw data)\n const latest = rawData && rawData.length > 0 ? rawData[rawData.length - 1] : null\n \n // Display data: show hovered data when hovering, otherwise show latest data\n const displayData = activeData || latest\n\n return (\n \n \n {t(\"title\")}\n {t(\"description\")}\n \n \n {isLoading ? (\n
\n \n
\n ) : !rawData || rawData.length === 0 ? (\n
\n {t(\"noData\")}\n
\n ) : (\n <>\n \n {\n if (state?.activePayload?.[0]?.payload) {\n setActiveData(state.activePayload[0].payload)\n }\n }}\n onMouseLeave={() => setActiveData(null)}\n >\n \n \n \n {visibleSeries.has('totalSubdomains') && (\n toggleSeries('totalSubdomains')}\n onMouseEnter={() => setHoveredLine('totalSubdomains')}\n onMouseLeave={() => setHoveredLine(null)}\n />\n )}\n {visibleSeries.has('totalIps') && (\n toggleSeries('totalIps')}\n onMouseEnter={() => setHoveredLine('totalIps')}\n onMouseLeave={() => setHoveredLine(null)}\n />\n )}\n {visibleSeries.has('totalEndpoints') && (\n toggleSeries('totalEndpoints')}\n onMouseEnter={() => setHoveredLine('totalEndpoints')}\n onMouseLeave={() => setHoveredLine(null)}\n />\n )}\n {visibleSeries.has('totalWebsites') && (\n toggleSeries('totalWebsites')}\n onMouseEnter={() => setHoveredLine('totalWebsites')}\n onMouseLeave={() => setHoveredLine(null)}\n />\n )}\n \n \n
\n \n {activeData ? formatDate(activeData.date) : t(\"current\")}\n \n
\n toggleSeries('totalSubdomains')}\n className={`flex items-center gap-1.5 px-2 py-1 rounded-md transition-all hover:bg-muted ${\n !visibleSeries.has('totalSubdomains') ? 'opacity-40' : ''\n }`}\n >\n
\n {t(\"subdomains\")}\n {displayData?.totalSubdomains ?? 0}\n \n toggleSeries('totalIps')}\n className={`flex items-center gap-1.5 px-2 py-1 rounded-md transition-all hover:bg-muted ${\n !visibleSeries.has('totalIps') ? 'opacity-40' : ''\n }`}\n >\n
\n {t(\"ips\")}\n {displayData?.totalIps ?? 0}\n \n toggleSeries('totalEndpoints')}\n className={`flex items-center gap-1.5 px-2 py-1 rounded-md transition-all hover:bg-muted ${\n !visibleSeries.has('totalEndpoints') ? 'opacity-40' : ''\n }`}\n >\n
\n {t(\"endpoints\")}\n {displayData?.totalEndpoints ?? 0}\n \n toggleSeries('totalWebsites')}\n className={`flex items-center gap-1.5 px-2 py-1 rounded-md transition-all hover:bg-muted ${\n !visibleSeries.has('totalWebsites') ? 'opacity-40' : ''\n }`}\n >\n
\n {t(\"websites\")}\n {displayData?.totalWebsites ?? 0}\n \n
\n
\n \n )}\n \n \n )\n}\n" }, { "path": "frontend/components/dashboard/dashboard-activity-tabs.tsx", "content": "\"use client\"\n\nimport { Tabs, TabsContent, TabsList, TabsTrigger } from \"@/components/ui/tabs\"\nimport { VulnerabilitiesDetailView } from \"@/components/vulnerabilities/vulnerabilities-detail-view\"\nimport { ScanHistoryList } from \"@/components/scan/history\"\nimport { IconBug, IconRadar } from \"@tabler/icons-react\"\n\nexport function DashboardActivityTabs() {\n return (\n \n \n \n \n 漏洞\n \n \n \n 扫描历史\n \n \n \n \n \n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/dashboard/dashboard-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { IconBug, IconRadar } from \"@tabler/icons-react\"\nimport { Tabs, TabsContent, TabsList, TabsTrigger } from \"@/components/ui/tabs\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport { useAllVulnerabilities } from \"@/hooks/use-vulnerabilities\"\nimport { useScans } from \"@/hooks/use-scans\"\nimport { VulnerabilityDetailDialog } from \"@/components/vulnerabilities/vulnerability-detail-dialog\"\nimport { createVulnerabilityColumns } from \"@/components/vulnerabilities/vulnerabilities-columns\"\nimport { createScanHistoryColumns } from \"@/components/scan/history/scan-history-columns\"\nimport { ScanProgressDialog, buildScanProgressData, type ScanProgressData } from \"@/components/scan/scan-progress-dialog\"\nimport { getScan } from \"@/services/scan.service\"\nimport { useRouter } from \"next/navigation\"\nimport { useMutation, useQueryClient } from \"@tanstack/react-query\"\nimport { toast } from \"sonner\"\nimport { deleteScan, stopScan } from \"@/services/scan.service\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport type { Vulnerability } from \"@/types/vulnerability.types\"\nimport type { ScanRecord } from \"@/types/scan.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\n\nexport function DashboardDataTable() {\n const router = useRouter()\n const queryClient = useQueryClient()\n const t = useTranslations()\n const locale = useLocale()\n const [activeTab, setActiveTab] = React.useState(\"scans\")\n \n // 漏洞详情弹窗\n const [selectedVuln, setSelectedVuln] = React.useState(null)\n const [vulnDialogOpen, setVulnDialogOpen] = React.useState(false)\n \n // 扫描进度弹窗\n const [progressData, setProgressData] = React.useState(null)\n const [progressDialogOpen, setProgressDialogOpen] = React.useState(false)\n \n // 删除确认弹窗\n const [deleteDialogOpen, setDeleteDialogOpen] = React.useState(false)\n const [scanToDelete, setScanToDelete] = React.useState(null)\n \n // 停止确认弹窗\n const [stopDialogOpen, setStopDialogOpen] = React.useState(false)\n const [scanToStop, setScanToStop] = React.useState(null)\n \n // 分页状态\n const [vulnPagination, setVulnPagination] = React.useState({ pageIndex: 0, pageSize: 10 })\n const [scanPagination, setScanPagination] = React.useState({ pageIndex: 0, pageSize: 10 })\n\n // 获取漏洞数据\n const vulnQuery = useAllVulnerabilities({\n page: vulnPagination.pageIndex + 1,\n pageSize: vulnPagination.pageSize,\n })\n \n // 获取扫描数据\n const scanQuery = useScans({\n page: scanPagination.pageIndex + 1,\n pageSize: scanPagination.pageSize,\n })\n\n // 删除扫描的 mutation\n const deleteMutation = useMutation({\n mutationFn: deleteScan,\n onSuccess: () => {\n queryClient.invalidateQueries({ queryKey: ['scans'] })\n },\n })\n\n // 停止扫描的 mutation\n const stopMutation = useMutation({\n mutationFn: stopScan,\n onSuccess: () => {\n queryClient.invalidateQueries({ queryKey: ['scans'] })\n },\n })\n\n const vulnerabilities = vulnQuery.data?.vulnerabilities ?? []\n const scans = scanQuery.data?.results ?? []\n\n // 格式化日期\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }\n\n // 点击漏洞行\n const handleVulnRowClick = React.useCallback((vuln: Vulnerability) => {\n setSelectedVuln(vuln)\n setVulnDialogOpen(true)\n }, [])\n\n // 漏洞列定义\n const vulnColumns = React.useMemo(\n () => createVulnerabilityColumns({\n formatDate,\n handleViewDetail: handleVulnRowClick,\n t: {\n columns: {\n severity: t('columns.vulnerability.severity'),\n source: t('columns.vulnerability.source'),\n vulnType: t('columns.vulnerability.vulnType'),\n url: t('columns.common.url'),\n createdAt: t('columns.common.createdAt'),\n },\n actions: {\n details: t('common.actions.details'),\n selectAll: t('common.actions.selectAll'),\n selectRow: t('common.actions.selectRow'),\n },\n tooltips: {\n vulnDetails: t('tooltips.vulnDetails'),\n },\n severity: {\n critical: t('severity.critical'),\n high: t('severity.high'),\n medium: t('severity.medium'),\n low: t('severity.low'),\n info: t('severity.info'),\n },\n },\n }),\n [handleVulnRowClick, t]\n )\n\n // 扫描进度查看\n const handleViewProgress = React.useCallback(async (scan: ScanRecord) => {\n try {\n const fullScan = await getScan(scan.id)\n const data = buildScanProgressData(fullScan)\n setProgressData(data)\n setProgressDialogOpen(true)\n } catch (error) {\n console.error(\"获取扫描详情失败:\", error)\n }\n }, [])\n\n // 处理删除扫描\n const handleDelete = React.useCallback((scan: ScanRecord) => {\n setScanToDelete(scan)\n setDeleteDialogOpen(true)\n }, [])\n\n // 确认删除\n const confirmDelete = async () => {\n if (!scanToDelete) return\n setDeleteDialogOpen(false)\n try {\n await deleteMutation.mutateAsync(scanToDelete.id)\n toast.success(t('common.status.success'))\n } catch (error) {\n toast.error(t('common.status.error'))\n console.error('删除失败:', error)\n } finally {\n setScanToDelete(null)\n }\n }\n\n // 处理停止扫描\n const handleStop = React.useCallback((scan: ScanRecord) => {\n setScanToStop(scan)\n setStopDialogOpen(true)\n }, [])\n\n // 确认停止\n const confirmStop = async () => {\n if (!scanToStop) return\n setStopDialogOpen(false)\n try {\n await stopMutation.mutateAsync(scanToStop.id)\n toast.success(t('common.status.success'))\n } catch (error) {\n toast.error(t('common.status.error'))\n console.error('停止扫描失败:', error)\n } finally {\n setScanToStop(null)\n }\n }\n\n // 扫描列定义\n const scanColumns = React.useMemo(\n () => createScanHistoryColumns({\n formatDate,\n navigate: (path: string) => router.push(path),\n handleDelete,\n handleStop,\n handleViewProgress,\n t: {\n columns: {\n target: t('columns.scanHistory.target'),\n summary: t('columns.scanHistory.summary'),\n engineName: t('columns.scanHistory.engineName'),\n workerName: t('columns.scanHistory.workerName'),\n createdAt: t('columns.common.createdAt'),\n status: t('columns.common.status'),\n progress: t('columns.scanHistory.progress'),\n },\n actions: {\n snapshot: t('common.actions.snapshot'),\n stopScan: t('scan.stopScan'),\n delete: t('common.actions.delete'),\n openMenu: t('common.actions.openMenu'),\n selectAll: t('common.actions.selectAll'),\n selectRow: t('common.actions.selectRow'),\n },\n tooltips: {\n targetDetails: t('tooltips.targetDetails'),\n viewProgress: t('tooltips.viewProgress'),\n },\n status: {\n cancelled: t('common.status.cancelled'),\n completed: t('common.status.completed'),\n failed: t('common.status.failed'),\n initiated: t('common.status.pending'),\n running: t('common.status.running'),\n },\n summary: {\n subdomains: t('columns.scanHistory.subdomains'),\n websites: t('columns.scanHistory.websites'),\n ipAddresses: t('columns.scanHistory.ipAddresses'),\n endpoints: t('columns.scanHistory.endpoints'),\n vulnerabilities: t('columns.scanHistory.vulnerabilities'),\n },\n },\n }),\n [router, handleViewProgress, handleDelete, handleStop, t]\n )\n\n // 漏洞分页信息\n const vulnPaginationInfo: PaginationInfo = {\n total: vulnQuery.data?.pagination?.total ?? 0,\n page: vulnPagination.pageIndex + 1,\n pageSize: vulnPagination.pageSize,\n totalPages: vulnQuery.data?.pagination?.totalPages ?? 1,\n }\n\n // 扫描分页信息\n const scanPaginationInfo: PaginationInfo = {\n total: scanQuery.data?.total ?? 0,\n page: scanPagination.pageIndex + 1,\n pageSize: scanPagination.pageSize,\n totalPages: scanQuery.data?.totalPages ?? 1,\n }\n\n return (\n <>\n \n {progressData && (\n \n )}\n\n {/* 删除确认对话框 */}\n \n \n \n {t('common.confirm.deleteTitle')}\n \n {t('common.confirm.deleteMessage')}\n \n \n \n {t('common.actions.cancel')}\n \n {t('common.actions.delete')}\n \n \n \n \n\n {/* 停止扫描确认对话框 */}\n \n \n \n {t('common.confirm.title')}\n \n {t('common.confirm.deleteMessage')}\n \n \n \n {t('common.actions.cancel')}\n \n {t('scan.stopScan')}\n \n \n \n \n \n \n {/* 漏洞表格 */}\n \n {vulnQuery.isLoading ? (\n
\n {[...Array(5)].map((_, i) => )}\n
\n ) : (\n String(row.id)}\n enableRowSelection={false}\n pagination={vulnPagination}\n onPaginationChange={setVulnPagination}\n paginationInfo={vulnPaginationInfo}\n emptyMessage={t('common.status.noData')}\n toolbarLeft={\n \n \n \n {t('navigation.scanHistory')}\n \n \n \n {t('navigation.vulnerabilities')}\n \n \n }\n showAddButton={false}\n showBulkDelete={false}\n />\n )}\n \n\n {/* 扫描历史表格 */}\n \n {scanQuery.isLoading ? (\n
\n {[...Array(5)].map((_, i) => )}\n
\n ) : (\n String(row.id)}\n enableRowSelection={false}\n enableAutoColumnSizing\n pagination={scanPagination}\n onPaginationChange={setScanPagination}\n paginationInfo={scanPaginationInfo}\n emptyMessage={t('common.status.noData')}\n toolbarLeft={\n \n \n \n {t('navigation.scanHistory')}\n \n \n \n {t('navigation.vulnerabilities')}\n \n \n }\n showAddButton={false}\n showBulkDelete={false}\n />\n )}\n \n \n \n )\n}\n" }, { "path": "frontend/components/dashboard/dashboard-scan-history.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { useRouter } from \"next/navigation\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { ScanHistoryDataTable } from \"@/components/scan/history/scan-history-data-table\"\nimport { createScanHistoryColumns } from \"@/components/scan/history/scan-history-columns\"\nimport { useScans } from \"@/hooks/use-scans\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { ScanRecord } from \"@/types/scan.types\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\n\nexport function DashboardScanHistory() {\n const [pagination, setPagination] = React.useState({ pageIndex: 0, pageSize: 5 })\n const router = useRouter()\n const locale = useLocale()\n\n // 国际化\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tTooltips = useTranslations(\"tooltips\")\n const tScan = useTranslations(\"scan\")\n\n // 构建翻译对象\n const translations = React.useMemo(() => ({\n columns: {\n target: tColumns(\"scanHistory.target\"),\n summary: tColumns(\"scanHistory.summary\"),\n engineName: tColumns(\"scanHistory.engineName\"),\n workerName: tColumns(\"scanHistory.workerName\"),\n createdAt: tColumns(\"common.createdAt\"),\n status: tColumns(\"common.status\"),\n progress: tColumns(\"scanHistory.progress\"),\n },\n actions: {\n snapshot: tCommon(\"actions.snapshot\"),\n stopScan: tScan(\"stopScan\"),\n delete: tCommon(\"actions.delete\"),\n openMenu: tCommon(\"actions.openMenu\"),\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n tooltips: {\n targetDetails: tTooltips(\"targetDetails\"),\n viewProgress: tTooltips(\"viewProgress\"),\n },\n status: {\n cancelled: tCommon(\"status.cancelled\"),\n completed: tCommon(\"status.completed\"),\n failed: tCommon(\"status.failed\"),\n initiated: tCommon(\"status.pending\"),\n running: tCommon(\"status.running\"),\n },\n summary: {\n subdomains: tColumns(\"scanHistory.subdomains\"),\n websites: tColumns(\"scanHistory.websites\"),\n ipAddresses: tColumns(\"scanHistory.ipAddresses\"),\n endpoints: tColumns(\"scanHistory.endpoints\"),\n vulnerabilities: tColumns(\"scanHistory.vulnerabilities\"),\n },\n }), [tColumns, tCommon, tTooltips, tScan])\n\n const { data, isLoading } = useScans({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n status: 'running',\n })\n\n const formatDate = React.useCallback((dateString: string) => new Date(dateString).toLocaleString(getDateLocale(locale), { hour12: false }), [locale])\n const navigate = React.useCallback((path: string) => router.push(path), [router])\n const handleDelete = React.useCallback(() => {}, [])\n const handleStop = React.useCallback((scan: ScanRecord) => {\n // 仪表盘列表暂时不提供停止逻辑，实现时可在此调用对应的停止扫描接口\n }, [])\n\n const columns = React.useMemo(\n () => createScanHistoryColumns({ formatDate, navigate, handleDelete, handleStop, t: translations }) as ColumnDef[],\n [formatDate, navigate, handleDelete, handleStop, translations]\n )\n\n if (isLoading && !data) {\n return (\n \n )\n }\n\n const paginationInfo = data\n ? { total: data.total, page: data.page, pageSize: data.pageSize, totalPages: data.totalPages }\n : undefined\n\n return (\n \n )\n}\n" }, { "path": "frontend/components/dashboard/dashboard-scheduled-scans.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { useRouter } from \"next/navigation\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { ScheduledScanDataTable } from \"@/components/scan/scheduled/scheduled-scan-data-table\"\nimport { createScheduledScanColumns } from \"@/components/scan/scheduled/scheduled-scan-columns\"\nimport { useScheduledScans } from \"@/hooks/use-scheduled-scans\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\n\nexport function DashboardScheduledScans() {\n const [pagination, setPagination] = React.useState({ page: 1, pageSize: 10 })\n const [searchQuery, setSearchQuery] = React.useState(\"\")\n const [isSearching, setIsSearching] = React.useState(false)\n const router = useRouter()\n const locale = useLocale()\n\n // Internationalization\n const tColumns = React.useMemo(() => useTranslations(\"columns\"), [])\n const tCommon = React.useMemo(() => useTranslations(\"common\"), [])\n const tScan = React.useMemo(() => useTranslations(\"scan\"), [])\n\n // Build translation object\n const translations = React.useMemo(() => ({\n columns: {\n taskName: tColumns(\"scheduledScan.taskName\"),\n scanEngine: tColumns(\"scheduledScan.scanEngine\"),\n cronExpression: tColumns(\"scheduledScan.cronExpression\"),\n scope: tColumns(\"scheduledScan.scope\"),\n status: tColumns(\"common.status\"),\n nextRun: tColumns(\"scheduledScan.nextRun\"),\n runCount: tColumns(\"scheduledScan.runCount\"),\n lastRun: tColumns(\"scheduledScan.lastRun\"),\n },\n actions: {\n editTask: tScan(\"editTask\"),\n delete: tCommon(\"actions.delete\"),\n openMenu: tCommon(\"actions.openMenu\"),\n },\n status: {\n enabled: tCommon(\"status.enabled\"),\n disabled: tCommon(\"status.disabled\"),\n },\n cron: {\n everyMinute: tScan(\"cron.everyMinute\"),\n everyNMinutes: tScan.raw(\"cron.everyNMinutes\") as string,\n everyHour: tScan.raw(\"cron.everyHour\") as string,\n everyNHours: tScan.raw(\"cron.everyNHours\") as string,\n everyDay: tScan.raw(\"cron.everyDay\") as string,\n everyWeek: tScan.raw(\"cron.everyWeek\") as string,\n everyMonth: tScan.raw(\"cron.everyMonth\") as string,\n weekdays: tScan.raw(\"cron.weekdays\") as string[],\n },\n }), [tColumns, tCommon, tScan])\n\n const handleSearchChange = (value: string) => {\n setIsSearching(true)\n setSearchQuery(value)\n setPagination((prev) => ({ ...prev, page: 1 }))\n }\n\n const { data, isLoading, isFetching } = useScheduledScans({\n page: pagination.page,\n pageSize: pagination.pageSize,\n search: searchQuery || undefined,\n })\n\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const formatDate = (dateString: string) => new Date(dateString).toLocaleString(getDateLocale(locale), { hour12: false })\n const handleEdit = () => router.push(`/scan/scheduled/`)\n const handleDelete = () => {}\n const handleToggleStatus = () => {}\n\n const columns = React.useMemo(\n () =>\n createScheduledScanColumns({\n formatDate,\n handleEdit,\n handleDelete,\n handleToggleStatus,\n t: translations,\n }),\n [formatDate, handleEdit, translations]\n )\n\n if (isLoading && !data) {\n return (\n \n )\n }\n\n const list = data?.results ?? []\n\n return (\n setPagination((prev) => ({ ...prev, page }))}\n onPageSizeChange={(pageSize) => setPagination({ page: 1, pageSize })}\n />\n )\n}\n" }, { "path": "frontend/components/dashboard/dashboard-stat-cards.tsx", "content": "\"use client\"\n\nimport { useAssetStatistics } from \"@/hooks/use-dashboard\"\nimport { Card, CardAction, CardDescription, CardFooter, CardHeader, CardTitle } from \"@/components/ui/card\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { IconTarget, IconStack2, IconBug, IconPlayerPlay, IconTrendingUp, IconTrendingDown } from \"@tabler/icons-react\"\nimport { useTranslations } from \"next-intl\"\nimport { useLocale } from \"next-intl\"\n\nfunction TrendBadge({ change }: { change: number }) {\n if (change === 0) return null\n \n const isPositive = change > 0\n return (\n \n {isPositive ? : }\n {isPositive ? '+' : ''}{change}\n \n )\n}\n\nfunction StatCard({\n title,\n value,\n change,\n icon,\n footer,\n loading,\n}: {\n title: string\n value: string | number\n change?: number\n icon: React.ReactNode\n footer: string\n loading?: boolean\n}) {\n return (\n \n \n \n {icon}\n {title}\n \n {loading ? (\n \n ) : (\n \n {typeof value === 'number' ? value.toLocaleString() : value}\n \n )}\n {!loading && change !== undefined && (\n \n \n \n )}\n \n \n
{footer}
\n \n \n )\n}\n\nfunction formatUpdateTime(dateStr: string | null, locale: string, noDataText: string) {\n if (!dateStr) return noDataText\n const date = new Date(dateStr)\n return date.toLocaleString(locale === 'zh' ? 'zh-CN' : 'en-US', {\n month: '2-digit',\n day: '2-digit',\n hour: '2-digit',\n minute: '2-digit',\n })\n}\n\nexport function DashboardStatCards() {\n const { data, isLoading } = useAssetStatistics()\n const t = useTranslations(\"dashboard.statCards\")\n const locale = useLocale()\n\n return (\n
\n
\n }\n loading={isLoading}\n footer={t(\"assetsFooter\")}\n />\n }\n loading={isLoading}\n footer={t(\"vulnsFooter\")}\n />\n }\n loading={isLoading}\n footer={t(\"targetsFooter\")}\n />\n }\n loading={isLoading}\n footer={t(\"scansFooter\")}\n />\n
\n
\n
\n {t(\"updatedAt\", { time: formatUpdateTime(data?.updatedAt ?? null, locale, t(\"noData\")) })}\n
\n
\n )\n}\n" }, { "path": "frontend/components/dashboard/recent-vulnerabilities.tsx", "content": "\"use client\"\n\nimport { useMemo } from \"react\"\nimport { useQuery } from \"@tanstack/react-query\"\nimport Link from \"next/link\"\nimport { useRouter } from \"next/navigation\"\nimport { VulnerabilityService } from \"@/services/vulnerability.service\"\nimport {\n Card,\n CardContent,\n CardDescription,\n CardHeader,\n CardTitle,\n} from \"@/components/ui/card\"\nimport {\n Table,\n TableBody,\n TableCell,\n TableHead,\n TableHeader,\n TableRow,\n} from \"@/components/ui/table\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { IconExternalLink } from \"@tabler/icons-react\"\nimport type { VulnerabilitySeverity } from \"@/types/vulnerability.types\"\nimport { useTranslations } from \"next-intl\"\nimport { useLocale } from \"next-intl\"\n\n// Unified vulnerability severity color configuration (consistent with charts)\nconst severityStyles: Record = {\n critical: \"bg-[#da3633]/10 text-[#da3633] border border-[#da3633]/20 dark:text-[#f85149]\",\n high: \"bg-[#d29922]/10 text-[#d29922] border border-[#d29922]/20\",\n medium: \"bg-[#d4a72c]/10 text-[#d4a72c] border border-[#d4a72c]/20\",\n low: \"bg-[#238636]/10 text-[#238636] border border-[#238636]/20 dark:text-[#3fb950]\",\n info: \"bg-[#848d97]/10 text-[#848d97] border border-[#848d97]/20\",\n}\n\nexport function RecentVulnerabilities() {\n const router = useRouter()\n const t = useTranslations(\"dashboard.recentVulns\")\n const tSeverity = useTranslations(\"severity\")\n const tColumns = useTranslations(\"columns\")\n const locale = useLocale()\n \n const formatTime = (dateStr: string) => {\n const date = new Date(dateStr)\n return date.toLocaleString(locale === 'zh' ? 'zh-CN' : 'en-US', {\n month: \"2-digit\",\n day: \"2-digit\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n })\n }\n\n const severityConfig = useMemo(() => ({\n critical: { label: tSeverity(\"critical\"), className: severityStyles.critical },\n high: { label: tSeverity(\"high\"), className: severityStyles.high },\n medium: { label: tSeverity(\"medium\"), className: severityStyles.medium },\n low: { label: tSeverity(\"low\"), className: severityStyles.low },\n info: { label: tSeverity(\"info\"), className: severityStyles.info },\n }), [tSeverity])\n\n const { data, isLoading } = useQuery({\n queryKey: [\"dashboard\", \"recent-vulnerabilities\"],\n queryFn: () => VulnerabilityService.getAllVulnerabilities({ page: 1, pageSize: 5 }),\n })\n\n const vulnerabilities = data?.results ?? []\n\n return (\n \n \n
\n {t(\"title\")}\n {t(\"description\")}\n
\n \n {t(\"viewAll\")}\n \n \n \n \n {isLoading ? (\n
\n {[...Array(5)].map((_, i) => (\n \n ))}\n
\n ) : vulnerabilities.length === 0 ? (\n
\n {t(\"noData\")}\n
\n ) : (\n
\n \n \n \n {tColumns(\"common.status\")}\n {tColumns(\"vulnerability.source\")}\n {tColumns(\"common.type\")}\n {tColumns(\"common.url\")}\n {tColumns(\"common.createdAt\")}\n \n \n \n {vulnerabilities.map((vuln: any) => (\n router.push(`/vulnerabilities/?id=${vuln.id}`)}\n >\n \n \n {severityConfig[vuln.severity as VulnerabilitySeverity]?.label ?? vuln.severity}\n \n \n \n {vuln.source}\n \n \n {vuln.vulnType}\n \n \n {vuln.url}\n \n \n {formatTime(vuln.createdAt)}\n \n \n ))}\n \n
\n
\n )}\n \n \n )\n}\n" }, { "path": "frontend/components/dashboard/vuln-severity-chart.tsx", "content": "\"use client\"\n\nimport { useMemo } from \"react\"\nimport { Pie, PieChart, Cell, Label } from \"recharts\"\nimport { useAssetStatistics } from \"@/hooks/use-dashboard\"\nimport {\n Card,\n CardContent,\n CardDescription,\n CardHeader,\n CardTitle,\n} from \"@/components/ui/card\"\nimport {\n ChartConfig,\n ChartContainer,\n ChartTooltip,\n ChartTooltipContent,\n} from \"@/components/ui/chart\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { useTranslations } from \"next-intl\"\n\n// 漏洞严重程度使用固定语义化颜色\nconst SEVERITY_COLORS = {\n critical: \"#dc2626\", // 红色\n high: \"#f97316\", // 橙色\n medium: \"#eab308\", // 黄色\n low: \"#3b82f6\", // 蓝色\n info: \"#6b7280\", // 灰色\n}\n\nexport function VulnSeverityChart() {\n const { data, isLoading } = useAssetStatistics()\n const t = useTranslations(\"dashboard.vulnDistribution\")\n const tSeverity = useTranslations(\"severity\")\n\n const chartConfig = useMemo(() => ({\n count: {\n label: \"Count\",\n },\n critical: {\n label: tSeverity(\"critical\"),\n color: SEVERITY_COLORS.critical,\n },\n high: {\n label: tSeverity(\"high\"),\n color: SEVERITY_COLORS.high,\n },\n medium: {\n label: tSeverity(\"medium\"),\n color: SEVERITY_COLORS.medium,\n },\n low: {\n label: tSeverity(\"low\"),\n color: SEVERITY_COLORS.low,\n },\n info: {\n label: tSeverity(\"info\"),\n color: SEVERITY_COLORS.info,\n },\n } satisfies ChartConfig), [tSeverity])\n\n const vulnData = data?.vulnBySeverity\n const allData = useMemo(() => [\n { severity: \"critical\", count: vulnData?.critical ?? 0, fill: SEVERITY_COLORS.critical },\n { severity: \"high\", count: vulnData?.high ?? 0, fill: SEVERITY_COLORS.high },\n { severity: \"medium\", count: vulnData?.medium ?? 0, fill: SEVERITY_COLORS.medium },\n { severity: \"low\", count: vulnData?.low ?? 0, fill: SEVERITY_COLORS.low },\n { severity: \"info\", count: vulnData?.info ?? 0, fill: SEVERITY_COLORS.info },\n ], [vulnData])\n // 饼图只显示有数据的\n const chartData = allData.filter(item => item.count > 0)\n\n const total = allData.reduce((sum, item) => sum + item.count, 0)\n\n return (\n \n \n {t(\"title\")}\n {t(\"description\")}\n \n \n {isLoading ? (\n
\n \n
\n ) : total === 0 ? (\n
\n {t(\"noData\")}\n
\n ) : (\n
\n \n \n }\n />\n \n {chartData.map((entry) => (\n \n ))}\n {\n if (viewBox && \"cx\" in viewBox && \"cy\" in viewBox) {\n return (\n \n \n {total}\n \n \n {t(\"vulns\")}\n \n \n )\n }\n }}\n />\n \n \n \n
\n {allData.map((item) => (\n
\n
\n 0 ? \"text-foreground\" : \"text-muted-foreground\"}>\n {chartConfig[item.severity as keyof typeof chartConfig]?.label}\n \n 0 ? \"font-medium\" : \"text-muted-foreground\"}>{item.count}\n
\n ))}\n
\n
\n )}\n \n \n )\n}\n" }, { "path": "frontend/components/directories/directories-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell } from \"@/components/ui/data-table/expandable-cell\"\nimport type { Directory } from \"@/types/directory.types\"\n\n// Translation type definitions\nexport interface DirectoryTranslations {\n columns: {\n url: string\n status: string\n length: string\n words: string\n lines: string\n contentType: string\n duration: string\n createdAt: string\n }\n actions: {\n selectAll: string\n selectRow: string\n }\n}\n\ninterface CreateColumnsProps {\n formatDate: (date: string) => string\n t: DirectoryTranslations\n}\n\n/**\n * HTTP status code badge component\n */\nfunction StatusBadge({ status }: { status: number | null }) {\n if (!status) return -\n\n let className = \"\"\n\n if (status >= 200 && status < 300) {\n className = \"bg-green-500/10 text-green-700 dark:text-green-400 hover:bg-green-500/20\"\n } else if (status >= 300 && status < 400) {\n className = \"bg-blue-500/10 text-blue-700 dark:text-blue-400 hover:bg-blue-500/20\"\n } else if (status >= 400 && status < 500) {\n className = \"bg-yellow-500/10 text-yellow-700 dark:text-yellow-400 hover:bg-yellow-500/20\"\n } else if (status >= 500) {\n className = \"bg-red-500/10 text-red-700 dark:text-red-400 hover:bg-red-500/20\"\n }\n\n return (\n \n {status}\n \n )\n}\n\n/**\n * Format duration (nanoseconds to milliseconds)\n */\nfunction formatDuration(nanoseconds: number | null): string {\n if (nanoseconds === null) return \"-\"\n const milliseconds = nanoseconds / 1000000\n return `${milliseconds.toFixed(2)} ms`\n}\n\n/**\n * Create directory table column definitions\n */\nexport function createDirectoryColumns({\n formatDate,\n t,\n}: CreateColumnsProps): ColumnDef[] {\n return [\n {\n id: \"select\",\n size: 40,\n minSize: 40,\n maxSize: 40,\n enableResizing: false,\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label={t.actions.selectAll}\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label={t.actions.selectRow}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n {\n accessorKey: \"url\",\n size: 400,\n minSize: 200,\n maxSize: 800,\n meta: { title: t.columns.url },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"status\",\n size: 80,\n minSize: 60,\n maxSize: 120,\n enableResizing: false,\n meta: { title: t.columns.status },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n },\n {\n accessorKey: \"contentLength\",\n size: 100,\n minSize: 80,\n maxSize: 150,\n meta: { title: t.columns.length },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const length = row.getValue(\"contentLength\") as number | null\n return {length !== null ? length.toLocaleString() : \"-\"}\n },\n },\n {\n accessorKey: \"words\",\n size: 80,\n minSize: 60,\n maxSize: 120,\n meta: { title: t.columns.words },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const words = row.getValue(\"words\") as number | null\n return {words !== null ? words.toLocaleString() : \"-\"}\n },\n },\n {\n accessorKey: \"lines\",\n size: 80,\n minSize: 60,\n maxSize: 120,\n meta: { title: t.columns.lines },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const lines = row.getValue(\"lines\") as number | null\n return {lines !== null ? lines.toLocaleString() : \"-\"}\n },\n },\n {\n accessorKey: \"contentType\",\n size: 120,\n minSize: 80,\n maxSize: 200,\n enableResizing: false,\n meta: { title: t.columns.contentType },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const contentType = row.getValue(\"contentType\") as string\n return contentType ? (\n {contentType}\n ) : (\n -\n )\n },\n },\n {\n accessorKey: \"duration\",\n size: 100,\n minSize: 80,\n maxSize: 150,\n meta: { title: t.columns.duration },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const duration = row.getValue(\"duration\") as number | null\n return {formatDuration(duration)}\n },\n },\n {\n accessorKey: \"createdAt\",\n size: 150,\n minSize: 120,\n maxSize: 200,\n enableResizing: false,\n meta: { title: t.columns.createdAt },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return {formatDate(date)}\n },\n },\n ]\n}\n" }, { "path": "frontend/components/directories/directories-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { useTranslations } from \"next-intl\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { Directory } from \"@/types/directory.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport type { DownloadOption } from \"@/types/data-table.types\"\n\n// Directory page filter field configuration\nconst DIRECTORY_FILTER_FIELDS: FilterField[] = [\n { key: \"url\", label: \"URL\", description: \"Directory URL\" },\n { key: \"status\", label: \"Status\", description: \"HTTP status code\" },\n]\n\n// Directory page filter examples\nconst DIRECTORY_FILTER_EXAMPLES = [\n 'url=\"/admin\" && status=\"200\"',\n 'url=\"/api/*\" || url=\"/config/*\"',\n 'status=\"200\" && url!=\"/index.html\"',\n]\n\ninterface DirectoriesDataTableProps {\n data: Directory[]\n columns: ColumnDef[]\n // Smart filter\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n pagination?: { pageIndex: number; pageSize: number }\n setPagination?: React.Dispatch>\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n onBulkDelete?: () => void\n onSelectionChange?: (selectedRows: Directory[]) => void\n // Download callback functions\n onDownloadAll?: () => void\n onDownloadSelected?: () => void\n onBulkAdd?: () => void\n}\n\nexport function DirectoriesDataTable({\n data = [],\n columns,\n filterValue,\n onFilterChange,\n isSearching = false,\n pagination,\n setPagination,\n paginationInfo,\n onPaginationChange,\n onBulkDelete,\n onSelectionChange,\n onDownloadAll,\n onDownloadSelected,\n onBulkAdd,\n}: DirectoriesDataTableProps) {\n const t = useTranslations(\"common.status\")\n const tActions = useTranslations(\"common.actions\")\n const tDownload = useTranslations(\"common.download\")\n const [selectedRows, setSelectedRows] = React.useState([])\n\n // Handle smart filter search\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n // Handle selection change\n const handleSelectionChange = (rows: Directory[]) => {\n setSelectedRows(rows)\n onSelectionChange?.(rows)\n }\n\n // Download options\n const downloadOptions: DownloadOption[] = []\n if (onDownloadAll) {\n downloadOptions.push({\n key: \"all\",\n label: tDownload(\"all\"),\n onClick: onDownloadAll,\n })\n }\n if (onDownloadSelected) {\n downloadOptions.push({\n key: \"selected\",\n label: tDownload(\"selected\"),\n onClick: onDownloadSelected,\n disabled: (count) => count === 0,\n })\n }\n\n return (\n String(row.id)}\n // Pagination\n pagination={pagination}\n setPagination={setPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // Smart filter\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={DIRECTORY_FILTER_FIELDS}\n filterExamples={DIRECTORY_FILTER_EXAMPLES}\n // Selection\n onSelectionChange={handleSelectionChange}\n // Bulk operations\n onBulkDelete={onBulkDelete}\n bulkDeleteLabel={tActions(\"delete\")}\n showAddButton={false}\n // Bulk add button\n onBulkAdd={onBulkAdd}\n bulkAddLabel={tActions(\"add\")}\n // Download\n downloadOptions={downloadOptions.length > 0 ? downloadOptions : undefined}\n // Empty state\n emptyMessage={t(\"noData\")}\n />\n )\n}\n" }, { "path": "frontend/components/directories/directories-view.tsx", "content": "\"use client\"\n\nimport React, { useCallback, useMemo, useState, useEffect } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { DirectoriesDataTable } from \"./directories-data-table\"\nimport { createDirectoryColumns } from \"./directories-columns\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { Button } from \"@/components/ui/button\"\nimport { useTargetDirectories, useScanDirectories } from \"@/hooks/use-directories\"\nimport { useTarget } from \"@/hooks/use-targets\"\nimport { DirectoryService } from \"@/services/directory.service\"\nimport { BulkAddUrlsDialog } from \"@/components/common/bulk-add-urls-dialog\"\nimport { ConfirmDialog } from \"@/components/ui/confirm-dialog\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { TargetType } from \"@/lib/url-validator\"\nimport type { Directory } from \"@/types/directory.types\"\nimport { toast } from \"sonner\"\n\nexport function DirectoriesView({\n targetId,\n scanId,\n}: {\n targetId?: number\n scanId?: number\n}) {\n const [pagination, setPagination] = useState({\n pageIndex: 0,\n pageSize: 10,\n })\n const [selectedDirectories, setSelectedDirectories] = useState([])\n const [bulkAddDialogOpen, setBulkAddDialogOpen] = useState(false)\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [isDeleting, setIsDeleting] = useState(false)\n\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n\n // Internationalization\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tToast = useTranslations(\"toast\")\n const tStatus = useTranslations(\"common.status\")\n const locale = useLocale()\n\n // Build translation object\n const translations = useMemo(() => ({\n columns: {\n url: tColumns(\"common.url\"),\n status: tColumns(\"common.status\"),\n length: tColumns(\"directory.length\"),\n words: tColumns(\"directory.words\"),\n lines: tColumns(\"directory.lines\"),\n contentType: tColumns(\"endpoint.contentType\"),\n duration: tColumns(\"directory.duration\"),\n createdAt: tColumns(\"common.createdAt\"),\n },\n actions: {\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n }), [tColumns, tCommon])\n\n // Get target info (for URL matching validation)\n const { data: target } = useTarget(targetId || 0, { enabled: !!targetId })\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n const targetQuery = useTargetDirectories(\n targetId || 0,\n {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n },\n { enabled: !!targetId }\n )\n\n const scanQuery = useScanDirectories(\n scanId || 0,\n {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n },\n { enabled: !!scanId }\n )\n\n const activeQuery = targetId ? targetQuery : scanQuery\n const { data, isLoading, isFetching, error, refetch } = activeQuery\n\n useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const formatDate = useCallback((dateString: string) => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }, [locale])\n\n const columns = useMemo(\n () =>\n createDirectoryColumns({\n formatDate,\n t: translations,\n }),\n [formatDate, translations]\n )\n\n const directories: Directory[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n const paginationInfo = data\n ? {\n total: data.total,\n page: data.page,\n pageSize: data.pageSize,\n totalPages: data.totalPages,\n }\n : undefined\n\n const handleSelectionChange = useCallback((selectedRows: Directory[]) => {\n setSelectedDirectories(selectedRows)\n }, [])\n\n // Format date as YYYY-MM-DD HH:MM:SS (consistent with backend)\n const formatDateForCSV = (dateString: string): string => {\n if (!dateString) return ''\n const date = new Date(dateString)\n const year = date.getFullYear()\n const month = String(date.getMonth() + 1).padStart(2, '0')\n const day = String(date.getDate()).padStart(2, '0')\n const hours = String(date.getHours()).padStart(2, '0')\n const minutes = String(date.getMinutes()).padStart(2, '0')\n const seconds = String(date.getSeconds()).padStart(2, '0')\n return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`\n }\n\n // CSV escape\n const escapeCSV = (value: string | number | boolean | null | undefined): string => {\n if (value === null || value === undefined) return ''\n const str = String(value)\n if (str.includes(',') || str.includes('\"') || str.includes('\\n')) {\n return `\"${str.replace(/\"/g, '\"\"')}\"`\n }\n return str\n }\n\n // Convert nanoseconds to milliseconds\n const formatDurationNsToMs = (durationNs: number | null | undefined): string => {\n if (durationNs === null || durationNs === undefined) return ''\n return String(Math.floor(durationNs / 1_000_000))\n }\n\n // Generate CSV content\n const generateCSV = (items: Directory[]): string => {\n const BOM = '\\ufeff'\n const headers = [\n 'url', 'status', 'content_length', 'words',\n 'lines', 'content_type', 'duration', 'created_at'\n ]\n \n const rows = items.map(item => [\n escapeCSV(item.url),\n escapeCSV(item.status),\n escapeCSV(item.contentLength),\n escapeCSV(item.words),\n escapeCSV(item.lines),\n escapeCSV(item.contentType),\n escapeCSV(formatDurationNsToMs(item.duration)),\n escapeCSV(formatDateForCSV(item.createdAt))\n ].join(','))\n \n return BOM + [headers.join(','), ...rows].join('\\n')\n }\n\n // Handle download all directories\n const handleDownloadAll = async () => {\n try {\n let blob: Blob | null = null\n\n if (scanId) {\n const data = await DirectoryService.exportDirectoriesByScanId(scanId)\n blob = data\n } else if (targetId) {\n const data = await DirectoryService.exportDirectoriesByTargetId(targetId)\n blob = data\n } else {\n if (!directories || directories.length === 0) {\n return\n }\n const csvContent = generateCSV(directories)\n blob = new Blob([csvContent], { type: \"text/csv;charset=utf-8\" })\n }\n\n if (!blob) return\n\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n const prefix = scanId ? `scan-${scanId}` : targetId ? `target-${targetId}` : \"directories\"\n a.href = url\n a.download = `${prefix}-directories-${Date.now()}.csv`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n } catch (error) {\n console.error(\"Failed to download directory list\", error)\n toast.error(tToast(\"downloadFailed\"))\n }\n }\n\n // Handle download selected directories\n const handleDownloadSelected = () => {\n if (selectedDirectories.length === 0) {\n return\n }\n const csvContent = generateCSV(selectedDirectories)\n const blob = new Blob([csvContent], { type: \"text/csv;charset=utf-8\" })\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n const prefix = scanId ? `scan-${scanId}` : targetId ? `target-${targetId}` : \"directories\"\n a.href = url\n a.download = `${prefix}-directories-selected-${Date.now()}.csv`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n }\n\n // Handle bulk delete\n const handleBulkDelete = async () => {\n if (selectedDirectories.length === 0) return\n \n setIsDeleting(true)\n try {\n const ids = selectedDirectories.map(d => d.id)\n const result = await DirectoryService.bulkDelete(ids)\n toast.success(tToast(\"deleteSuccess\", { count: result.deletedCount }))\n setSelectedDirectories([])\n setDeleteDialogOpen(false)\n refetch()\n } catch (error) {\n console.error(\"Failed to delete directories\", error)\n toast.error(tToast(\"deleteFailed\"))\n } finally {\n setIsDeleting(false)\n }\n }\n\n if (error) {\n return (\n
\n
\n \n
\n

{tStatus(\"error\")}

\n

\n {tStatus(\"error\")}\n

\n \n
\n )\n }\n\n if (isLoading && !data) {\n return (\n \n )\n }\n\n return (\n <>\n setDeleteDialogOpen(true) : undefined}\n onBulkAdd={targetId ? () => setBulkAddDialogOpen(true) : undefined}\n />\n\n {/* Bulk add dialog */}\n {targetId && (\n refetch()}\n />\n )}\n\n {/* Delete confirmation dialog */}\n \n \n )\n}\n" }, { "path": "frontend/components/disk/disk-stat-cards.tsx", "content": "\"use client\"\n\nimport { useTranslations } from \"next-intl\"\nimport { useDiskStats } from '@/hooks/use-disk'\nimport { Card, CardDescription, CardHeader, CardTitle } from '@/components/ui/card'\nimport { Skeleton } from '@/components/ui/skeleton'\nimport { IconDatabase } from '@tabler/icons-react'\nimport { formatBytes } from '@/lib/utils'\n\nfunction StatCard({ title, value, icon, loading }: { title: string; value: string | number; icon: React.ReactNode; loading?: boolean }) {\n return (\n \n \n \n {icon}\n {title}\n \n {loading ? (\n \n ) : (\n \n {value}\n \n )}\n \n \n )\n}\n\nexport function DiskStatCards() {\n const { data, isLoading } = useDiskStats()\n const t = useTranslations(\"disk\")\n\n return (\n
\n } loading={isLoading} />\n } loading={isLoading} />\n } loading={isLoading} />\n
\n )\n}\n" }, { "path": "frontend/components/endpoints/endpoints-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport type { Endpoint } from \"@/types/endpoint.types\"\nimport { ExpandableCell, ExpandableTagList } from \"@/components/ui/data-table/expandable-cell\"\n\n// Translation type definitions\nexport interface EndpointTranslations {\n columns: {\n url: string\n host: string\n title: string\n status: string\n contentLength: string\n location: string\n webServer: string\n contentType: string\n technologies: string\n responseBody: string\n vhost: string\n gfPatterns: string\n responseHeaders: string\n responseTime: string\n createdAt: string\n }\n actions: {\n selectAll: string\n selectRow: string\n }\n}\n\ninterface CreateColumnsProps {\n formatDate: (dateString: string) => string\n t: EndpointTranslations\n}\n\nfunction HttpStatusBadge({ statusCode }: { statusCode: number | null | undefined }) {\n if (statusCode === null || statusCode === undefined) {\n return (\n \n -\n \n )\n }\n\n const getStatusVariant = (code: number): \"default\" | \"secondary\" | \"destructive\" | \"outline\" => {\n if (code >= 200 && code < 300) {\n return \"outline\"\n } else if (code >= 300 && code < 400) {\n return \"secondary\"\n } else if (code >= 400 && code < 500) {\n return \"default\"\n } else if (code >= 500) {\n return \"destructive\"\n } else {\n return \"secondary\"\n }\n }\n\n const variant = getStatusVariant(statusCode)\n\n return (\n \n {statusCode}\n \n )\n}\n\nexport function createEndpointColumns({\n formatDate,\n t,\n}: CreateColumnsProps): ColumnDef[] {\n return [\n {\n id: \"select\",\n size: 40,\n minSize: 40,\n maxSize: 40,\n enableResizing: false,\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label={t.actions.selectAll}\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label={t.actions.selectRow}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n {\n accessorKey: \"url\",\n meta: { title: t.columns.url },\n header: ({ column }) => (\n \n ),\n size: 400,\n minSize: 200,\n maxSize: 700,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"host\",\n meta: { title: t.columns.host },\n header: ({ column }) => (\n \n ),\n size: 200,\n minSize: 100,\n maxSize: 300,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"title\",\n meta: { title: t.columns.title },\n header: ({ column }) => (\n \n ),\n size: 150,\n minSize: 100,\n maxSize: 300,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"statusCode\",\n meta: { title: t.columns.status },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n cell: ({ row }) => {\n const status = row.getValue(\"statusCode\") as number | null | undefined\n return \n },\n },\n {\n accessorKey: \"contentLength\",\n meta: { title: t.columns.contentLength },\n header: ({ column }) => (\n \n ),\n size: 100,\n minSize: 80,\n maxSize: 150,\n cell: ({ row }) => {\n const len = row.getValue(\"contentLength\") as number | null | undefined\n if (len === null || len === undefined) {\n return -\n }\n return {new Intl.NumberFormat().format(len)}\n },\n },\n {\n accessorKey: \"location\",\n meta: { title: t.columns.location },\n header: ({ column }) => (\n \n ),\n size: 150,\n minSize: 100,\n maxSize: 300,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"webserver\",\n meta: { title: t.columns.webServer },\n header: ({ column }) => (\n \n ),\n size: 120,\n minSize: 80,\n maxSize: 200,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"contentType\",\n meta: { title: t.columns.contentType },\n header: ({ column }) => (\n \n ),\n size: 120,\n minSize: 80,\n maxSize: 200,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"tech\",\n meta: { title: t.columns.technologies },\n header: ({ column }) => (\n \n ),\n size: 200,\n minSize: 150,\n cell: ({ row }) => {\n const tech = (row.getValue(\"tech\") as string[] | null | undefined) || []\n return (\n \n )\n },\n },\n {\n accessorKey: \"responseBody\",\n meta: { title: t.columns.responseBody },\n header: ({ column }) => (\n \n ),\n size: 350,\n minSize: 250,\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"responseHeaders\",\n meta: { title: t.columns.responseHeaders },\n header: ({ column }) => (\n \n ),\n size: 250,\n minSize: 150,\n maxSize: 400,\n cell: ({ row }) => {\n const headers = row.getValue(\"responseHeaders\") as string | null | undefined\n if (!headers) return -\n return \n },\n },\n {\n accessorKey: \"vhost\",\n meta: { title: t.columns.vhost },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n cell: ({ row }) => {\n const vhost = row.getValue(\"vhost\") as boolean | null | undefined\n if (vhost === null || vhost === undefined) return -\n return {vhost ? \"true\" : \"false\"}\n },\n },\n {\n accessorKey: \"gfPatterns\",\n meta: { title: t.columns.gfPatterns },\n header: ({ column }) => (\n \n ),\n size: 150,\n minSize: 100,\n maxSize: 250,\n cell: ({ row }) => {\n const patterns = (row.getValue(\"gfPatterns\") as string[] | null | undefined) || []\n return (\n \n )\n },\n enableSorting: false,\n },\n {\n accessorKey: \"responseTime\",\n meta: { title: t.columns.responseTime },\n header: ({ column }) => (\n \n ),\n size: 100,\n minSize: 80,\n maxSize: 150,\n cell: ({ row }) => {\n const rt = row.getValue(\"responseTime\") as number | null | undefined\n if (rt === null || rt === undefined) {\n return -\n }\n const formatted = `${rt.toFixed(4)}s`\n return {formatted}\n },\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: t.columns.createdAt },\n header: ({ column }) => (\n \n ),\n size: 150,\n minSize: 120,\n maxSize: 200,\n cell: ({ row }) => {\n const createdAt = row.getValue(\"createdAt\") as string | undefined\n return
{createdAt ? formatDate(createdAt) : \"-\"}
\n },\n },\n ]\n}\n" }, { "path": "frontend/components/endpoints/endpoints-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { useTranslations } from \"next-intl\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { DownloadOption, PaginationState } from \"@/types/data-table.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\n\n// Endpoint page filter field configuration\nconst ENDPOINT_FILTER_FIELDS: FilterField[] = [\n { key: \"url\", label: \"URL\", description: \"Endpoint URL\" },\n { key: \"host\", label: \"Host\", description: \"Hostname\" },\n { key: \"title\", label: \"Title\", description: \"Page title\" },\n { key: \"status\", label: \"Status\", description: \"HTTP status code\" },\n { key: \"tech\", label: \"Tech\", description: \"Technologies\" },\n { key: \"responseHeaders\", label: \"Headers\", description: \"Response headers\" },\n]\n\n// Endpoint page filter examples\nconst ENDPOINT_FILTER_EXAMPLES = [\n 'url=\"/api/*\" && status=\"200\"',\n 'host=\"api.example.com\" || host=\"admin.example.com\"',\n 'title=\"Dashboard\" && status!=\"404\"',\n 'tech=\"php\" || tech=\"wordpress\"',\n]\n\ninterface EndpointsDataTableProps {\n columns: ColumnDef[]\n data: TData[]\n // Smart filter\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddNew?: () => void\n addButtonText?: string\n onSelectionChange?: (selectedRows: TData[]) => void\n onBulkDelete?: () => void\n pagination?: { pageIndex: number; pageSize: number }\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n totalCount?: number\n totalPages?: number\n onDownloadAll?: () => void\n onDownloadSelected?: () => void\n onBulkAdd?: () => void\n}\n\nexport function EndpointsDataTable({\n columns,\n data,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddNew,\n addButtonText = \"Add\",\n onSelectionChange,\n onBulkDelete,\n pagination: externalPagination,\n onPaginationChange,\n totalCount,\n totalPages,\n onDownloadAll,\n onDownloadSelected,\n onBulkAdd,\n}: EndpointsDataTableProps) {\n const t = useTranslations(\"common.status\")\n const tActions = useTranslations(\"common.actions\")\n const tDownload = useTranslations(\"common.download\")\n \n const [internalPagination, setInternalPagination] = React.useState({\n pageIndex: 0,\n pageSize: 10,\n })\n\n const pagination = externalPagination || internalPagination\n\n // Handle smart filter search\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n // Handle pagination change\n const handlePaginationChange = (newPagination: PaginationState) => {\n if (onPaginationChange) {\n onPaginationChange(newPagination)\n } else {\n setInternalPagination(newPagination)\n }\n }\n\n // Build paginationInfo\n const paginationInfo: PaginationInfo | undefined = externalPagination && totalCount ? {\n total: totalCount,\n totalPages: totalPages || Math.ceil(totalCount / pagination.pageSize),\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n } : undefined\n\n // Download options\n const downloadOptions: DownloadOption[] = []\n if (onDownloadAll) {\n downloadOptions.push({\n key: \"all\",\n label: tDownload(\"all\"),\n onClick: onDownloadAll,\n })\n }\n if (onDownloadSelected) {\n downloadOptions.push({\n key: \"selected\",\n label: tDownload(\"selected\"),\n onClick: onDownloadSelected,\n disabled: (count) => count === 0,\n })\n }\n\n return (\n []}\n getRowId={(row) => String(row.id)}\n // Pagination\n pagination={pagination}\n setPagination={onPaginationChange ? undefined : setInternalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={handlePaginationChange}\n // Smart filter\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={ENDPOINT_FILTER_FIELDS}\n filterExamples={ENDPOINT_FILTER_EXAMPLES}\n // Selection\n onSelectionChange={onSelectionChange}\n // Bulk operations\n onBulkDelete={onBulkDelete}\n bulkDeleteLabel={tActions(\"delete\")}\n onAddNew={onAddNew}\n addButtonLabel={addButtonText}\n // Bulk add button\n onBulkAdd={onBulkAdd}\n bulkAddLabel={tActions(\"add\")}\n // Download\n downloadOptions={downloadOptions.length > 0 ? downloadOptions : undefined}\n // Empty state\n emptyMessage={t(\"noData\")}\n />\n )\n}\n" }, { "path": "frontend/components/endpoints/endpoints-detail-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { useTargetEndpoints, useTarget } from \"@/hooks/use-targets\"\nimport { useDeleteEndpoint, useScanEndpoints } from \"@/hooks/use-endpoints\"\nimport { EndpointsDataTable } from \"./endpoints-data-table\"\nimport { createEndpointColumns } from \"./endpoints-columns\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { BulkAddUrlsDialog } from \"@/components/common/bulk-add-urls-dialog\"\nimport { ConfirmDialog } from \"@/components/ui/confirm-dialog\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { TargetType } from \"@/lib/url-validator\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport type { Endpoint } from \"@/types/endpoint.types\"\nimport { EndpointService } from \"@/services/endpoint.service\"\nimport { toast } from \"sonner\"\n\n/**\n * Target endpoint detail view component\n * Used to display and manage the endpoint list under a target\n */\nexport function EndpointsDetailView({\n targetId,\n scanId,\n}: {\n targetId?: number\n scanId?: number\n}) {\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [endpointToDelete, setEndpointToDelete] = useState(null)\n const [selectedEndpoints, setSelectedEndpoints] = useState([])\n const [bulkAddDialogOpen, setBulkAddDialogOpen] = useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = useState(false)\n const [isDeleting, setIsDeleting] = useState(false)\n\n // Pagination state management\n const [pagination, setPagination] = useState({\n pageIndex: 0,\n pageSize: 10\n })\n\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n\n // Internationalization\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tToast = useTranslations(\"toast\")\n const tConfirm = useTranslations(\"common.confirm\")\n const locale = useLocale()\n\n // Build translation object\n const translations = useMemo(() => ({\n columns: {\n url: tColumns(\"common.url\"),\n host: tColumns(\"endpoint.host\"),\n title: tColumns(\"endpoint.title\"),\n status: tColumns(\"common.status\"),\n contentLength: tColumns(\"endpoint.contentLength\"),\n location: tColumns(\"endpoint.location\"),\n webServer: tColumns(\"endpoint.webServer\"),\n contentType: tColumns(\"endpoint.contentType\"),\n technologies: tColumns(\"endpoint.technologies\"),\n responseBody: tColumns(\"endpoint.responseBody\"),\n vhost: tColumns(\"endpoint.vhost\"),\n gfPatterns: tColumns(\"endpoint.gfPatterns\"),\n responseHeaders: tColumns(\"endpoint.responseHeaders\"),\n responseTime: tColumns(\"endpoint.responseTime\"),\n createdAt: tColumns(\"common.createdAt\"),\n },\n actions: {\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n }), [tColumns, tCommon])\n\n // Get target info (for URL matching validation)\n const { data: target } = useTarget(targetId || 0, { enabled: !!targetId })\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // Delete related hooks\n const deleteEndpoint = useDeleteEndpoint()\n\n // Use React Query to fetch endpoint data: prioritize by targetId, then by scanId (historical snapshot)\n const targetEndpointsQuery = useTargetEndpoints(targetId || 0, {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n }, { enabled: !!targetId })\n\n const scanEndpointsQuery = useScanEndpoints(\n scanId || 0,\n {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n },\n { enabled: !!scanId },\n filterQuery || undefined,\n )\n\n const {\n data,\n isLoading,\n isFetching,\n error,\n refetch,\n } = targetId ? targetEndpointsQuery : scanEndpointsQuery\n\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n // Helper function - format date\n const formatDate = React.useCallback((dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }, [locale])\n\n\n // Confirm delete endpoint\n const confirmDelete = async () => {\n if (!endpointToDelete) return\n\n setDeleteDialogOpen(false)\n setEndpointToDelete(null)\n\n deleteEndpoint.mutate(endpointToDelete.id)\n }\n\n // Handle pagination change\n const handlePaginationChange = (newPagination: { pageIndex: number; pageSize: number }) => {\n setPagination(newPagination)\n }\n\n const handleSelectionChange = React.useCallback((selectedRows: Endpoint[]) => {\n setSelectedEndpoints(selectedRows)\n }, [])\n\n // Create column definitions\n const endpointColumns = useMemo(\n () =>\n createEndpointColumns({\n formatDate,\n t: translations,\n }),\n [formatDate, translations]\n )\n\n // Format date as YYYY-MM-DD HH:MM:SS (consistent with backend)\n const formatDateForCSV = (dateString: string): string => {\n if (!dateString) return ''\n const date = new Date(dateString)\n const year = date.getFullYear()\n const month = String(date.getMonth() + 1).padStart(2, '0')\n const day = String(date.getDate()).padStart(2, '0')\n const hours = String(date.getHours()).padStart(2, '0')\n const minutes = String(date.getMinutes()).padStart(2, '0')\n const seconds = String(date.getSeconds()).padStart(2, '0')\n return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`\n }\n\n // CSV escape\n const escapeCSV = (value: string | number | boolean | null | undefined): string => {\n if (value === null || value === undefined) return ''\n const str = String(value)\n if (str.includes(',') || str.includes('\"') || str.includes('\\n')) {\n return `\"${str.replace(/\"/g, '\"\"')}\"`\n }\n return str\n }\n\n // Format array as comma-separated string\n const formatArrayForCSV = (arr: string[] | undefined): string => {\n if (!arr || arr.length === 0) return ''\n return arr.join(',')\n }\n\n // Generate CSV content\n const generateCSV = (items: Endpoint[]): string => {\n const BOM = '\\ufeff'\n const headers = [\n 'url', 'host', 'location', 'title', 'status_code',\n 'content_length', 'content_type', 'webserver', 'tech',\n 'response_body', 'vhost', 'matched_gf_patterns', 'created_at'\n ]\n \n const rows = items.map(item => [\n escapeCSV(item.url),\n escapeCSV(item.host),\n escapeCSV(item.location),\n escapeCSV(item.title),\n escapeCSV(item.statusCode),\n escapeCSV(item.contentLength),\n escapeCSV(item.contentType),\n escapeCSV(item.webserver),\n escapeCSV(formatArrayForCSV(item.tech)),\n escapeCSV(item.responseBody),\n escapeCSV(item.vhost),\n escapeCSV(formatDateForCSV(item.createdAt ?? ''))\n ].join(','))\n \n return BOM + [headers.join(','), ...rows].join('\\n')\n }\n\n // Download all endpoint URLs\n const handleDownloadAll = async () => {\n try {\n let blob: Blob | null = null\n\n if (scanId) {\n const data = await EndpointService.exportEndpointsByScanId(scanId)\n blob = data\n } else if (targetId) {\n const data = await EndpointService.exportEndpointsByTargetId(targetId)\n blob = data\n } else {\n const endpoints: Endpoint[] = (data as any)?.endpoints || []\n if (!endpoints || endpoints.length === 0) {\n return\n }\n const csvContent = generateCSV(endpoints)\n blob = new Blob([csvContent], { type: \"text/csv;charset=utf-8\" })\n }\n\n if (!blob) return\n\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n const prefix = scanId ? `scan-${scanId}` : targetId ? `target-${targetId}` : \"endpoints\"\n a.href = url\n a.download = `${prefix}-endpoints-${Date.now()}.csv`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n } catch (error) {\n console.error(\"Failed to download endpoint list\", error)\n toast.error(tToast(\"downloadFailed\"))\n }\n }\n\n // Download selected endpoint URLs\n const handleDownloadSelected = () => {\n if (selectedEndpoints.length === 0) {\n return\n }\n const csvContent = generateCSV(selectedEndpoints)\n const blob = new Blob([csvContent], { type: \"text/csv;charset=utf-8\" })\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n const prefix = scanId ? `scan-${scanId}` : targetId ? `target-${targetId}` : \"endpoints\"\n a.href = url\n a.download = `${prefix}-endpoints-selected-${Date.now()}.csv`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n }\n\n // Handle bulk delete\n const handleBulkDelete = async () => {\n if (selectedEndpoints.length === 0) return\n \n setIsDeleting(true)\n try {\n const ids = selectedEndpoints.map(e => e.id)\n const result = await EndpointService.bulkDelete(ids)\n toast.success(tToast(\"deleteSuccess\", { count: result.deletedCount }))\n setSelectedEndpoints([])\n setBulkDeleteDialogOpen(false)\n refetch()\n } catch (error) {\n console.error(\"Failed to delete endpoints\", error)\n toast.error(tToast(\"deleteFailed\"))\n } finally {\n setIsDeleting(false)\n }\n }\n\n // Error state\n if (error) {\n return (\n
\n
\n \n
\n

{tCommon(\"status.error\")}

\n

\n {error.message || tCommon(\"status.error\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tCommon(\"actions.retry\")}\n \n
\n )\n }\n\n // Loading state (only show skeleton on first load)\n if (isLoading && !data) {\n return (\n \n )\n }\n\n return (\n <>\n setBulkDeleteDialogOpen(true) : undefined}\n onBulkAdd={targetId ? () => setBulkAddDialogOpen(true) : undefined}\n />\n\n {/* Bulk add dialog */}\n {targetId && (\n refetch()}\n />\n )}\n\n {/* Bulk delete confirmation dialog */}\n \n\n {/* Single delete confirmation dialog */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteMessage\")}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {deleteEndpoint.isPending ? (\n <>\n \n {tCommon(\"status.loading\")}\n \n ) : (\n tCommon(\"actions.delete\")\n )}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/endpoints/index.ts", "content": "export { EndpointsDetailView } from './endpoints-detail-view'\nexport { EndpointsDataTable } from './endpoints-data-table'\nexport { createEndpointColumns } from './endpoints-columns'\n" }, { "path": "frontend/components/fingerprints/arl-fingerprint-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell, ExpandableMonoCell } from \"@/components/ui/data-table/expandable-cell\"\nimport type { ARLFingerprint } from \"@/types/fingerprint.types\"\n\ninterface ColumnOptions {\n formatDate: (date: string) => string\n}\n\n\n/**\n * Create ARL fingerprint table column definitions\n */\nexport function createARLFingerprintColumns({\n formatDate,\n}: ColumnOptions): ColumnDef[] {\n return [\n {\n id: \"select\",\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label=\"Select all\"\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label=\"Select row\"\n />\n ),\n enableSorting: false,\n enableHiding: false,\n enableResizing: false,\n size: 40,\n },\n {\n accessorKey: \"name\",\n meta: { title: \"Name\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 250,\n },\n {\n accessorKey: \"rule\",\n meta: { title: \"Rule\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 500,\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: \"Created\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(date)}\n
\n )\n },\n enableResizing: false,\n size: 160,\n },\n ]\n}\n" }, { "path": "frontend/components/fingerprints/arl-fingerprint-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport {\n IconChevronDown,\n IconTrash,\n IconDownload,\n IconUpload,\n IconPlus,\n IconSettings,\n} from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { ARLFingerprint } from \"@/types/fingerprint.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport { useTranslations } from \"next-intl\"\n\nconst ARL_FILTER_EXAMPLES = [\n 'name=\"Apache\"',\n 'name==\"Nginx\"',\n 'name=\"WordPress\"',\n]\n\ninterface ARLFingerprintDataTableProps {\n data: ARLFingerprint[]\n columns: ColumnDef[]\n onSelectionChange?: (selectedRows: ARLFingerprint[]) => void\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddSingle?: () => void\n onAddImport?: () => void\n onExport?: () => void\n onBulkDelete?: () => void\n onDeleteAll?: () => void\n totalCount?: number\n pagination?: { pageIndex: number; pageSize: number }\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\nexport function ARLFingerprintDataTable({\n data = [],\n columns,\n onSelectionChange,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddSingle,\n onAddImport,\n onExport,\n onBulkDelete,\n onDeleteAll,\n totalCount = 0,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: ARLFingerprintDataTableProps) {\n const [selectedCount, setSelectedCount] = React.useState(0)\n const [exportDialogOpen, setExportDialogOpen] = React.useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = React.useState(false)\n const [deleteAllDialogOpen, setDeleteAllDialogOpen] = React.useState(false)\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n const arlFilterFields: FilterField[] = React.useMemo(() => [\n { key: \"name\", label: \"Name\", description: t(\"filter.arl.name\") },\n ], [t])\n\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n const handleSelectionChange = (rows: ARLFingerprint[]) => {\n setSelectedCount(rows.length)\n onSelectionChange?.(rows)\n }\n\n const toolbarRightContent = (\n <>\n \n \n \n \n \n {onExport && (\n setExportDialogOpen(true)}>\n \n {t(\"actions.exportAll\")} (YAML)\n \n )}\n \n {onBulkDelete && (\n setBulkDeleteDialogOpen(true)}\n disabled={selectedCount === 0}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteSelected\")} ({selectedCount})\n \n )}\n {onDeleteAll && (\n setDeleteAllDialogOpen(true)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteAll\")}\n \n )}\n \n \n\n {(onAddSingle || onAddImport) && (\n \n \n \n \n \n {onAddSingle && (\n \n \n {t(\"actions.addSingle\")}\n \n )}\n {onAddImport && (\n \n \n {t(\"actions.importFile\")} (YAML)\n \n )}\n \n \n )}\n \n )\n\n return (\n <>\n String(row.id)}\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={arlFilterFields}\n filterExamples={ARL_FILTER_EXAMPLES}\n onSelectionChange={handleSelectionChange}\n showBulkDelete={false}\n showAddButton={false}\n emptyMessage=\"No results\"\n toolbarRight={toolbarRightContent}\n />\n\n \n \n \n {t(\"dialogs.exportTitle\")}\n \n {t(\"dialogs.exportDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onExport?.(); setExportDialogOpen(false); }}>\n {t(\"dialogs.confirmExport\")}\n \n \n \n \n\n \n \n \n {t(\"dialogs.deleteSelectedTitle\")}\n \n {t(\"dialogs.deleteSelectedDesc\", { count: selectedCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onBulkDelete?.(); setBulkDeleteDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n\n \n \n \n {t(\"dialogs.deleteAllTitle\")}\n \n {t(\"dialogs.deleteAllDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onDeleteAll?.(); setDeleteAllDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/arl-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { useForm } from \"react-hook-form\"\nimport { toast } from \"sonner\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport {\n useCreateARLFingerprint,\n useUpdateARLFingerprint,\n} from \"@/hooks/use-fingerprints\"\nimport type { ARLFingerprint } from \"@/types/fingerprint.types\"\nimport { useTranslations } from \"next-intl\"\n\ninterface ARLFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n fingerprint?: ARLFingerprint | null\n onSuccess?: () => void\n}\n\ninterface FormData {\n name: string\n rule: string\n}\n\nexport function ARLFingerprintDialog({\n open,\n onOpenChange,\n fingerprint,\n onSuccess,\n}: ARLFingerprintDialogProps) {\n const isEdit = !!fingerprint\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n const createMutation = useCreateARLFingerprint()\n const updateMutation = useUpdateARLFingerprint()\n\n const {\n register,\n handleSubmit,\n reset,\n formState: { errors, isSubmitting },\n } = useForm({\n defaultValues: {\n name: \"\",\n rule: \"\",\n },\n })\n\n useEffect(() => {\n if (fingerprint) {\n reset({\n name: fingerprint.name,\n rule: fingerprint.rule,\n })\n } else {\n reset({\n name: \"\",\n rule: \"\",\n })\n }\n }, [fingerprint, reset])\n\n const onSubmit = async (data: FormData) => {\n const payload = {\n name: data.name.trim(),\n rule: data.rule.trim(),\n }\n\n try {\n if (isEdit && fingerprint) {\n await updateMutation.mutateAsync({ id: fingerprint.id, data: payload })\n toast.success(t(\"toast.updateSuccess\"))\n } else {\n await createMutation.mutateAsync(payload)\n toast.success(t(\"toast.createSuccess\"))\n }\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || (isEdit ? t(\"toast.updateFailed\") : t(\"toast.createFailed\")))\n }\n }\n\n return (\n \n \n \n {isEdit ? t(\"arl.editTitle\") : t(\"arl.addTitle\")}\n \n {isEdit ? t(\"arl.editDesc\") : t(\"arl.addDesc\")}\n \n \n\n
\n {/* Name */}\n
\n \n \n {errors.name && (\n

{errors.name.message}

\n )}\n
\n\n {/* Rule */}\n
\n \n \n

\n {t(\"form.arlRuleHint\")}\n

\n {errors.rule && (\n

{errors.rule.message}

\n )}\n
\n\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/arl-fingerprint-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { toast } from \"sonner\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n useARLFingerprints,\n useBulkDeleteARLFingerprints,\n useDeleteAllARLFingerprints,\n} from \"@/hooks/use-fingerprints\"\nimport { FingerprintService } from \"@/services/fingerprint.service\"\nimport { ARLFingerprintDataTable } from \"./arl-fingerprint-data-table\"\nimport { createARLFingerprintColumns } from \"./arl-fingerprint-columns\"\nimport { ARLFingerprintDialog } from \"./arl-fingerprint-dialog\"\nimport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { ARLFingerprint } from \"@/types/fingerprint.types\"\n\nexport function ARLFingerprintView() {\n const tFingerprints = useTranslations(\"tools.fingerprints\")\n const locale = useLocale()\n \n const [selectedFingerprints, setSelectedFingerprints] = useState([])\n const [pagination, setPagination] = useState({ pageIndex: 0, pageSize: 10 })\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [importDialogOpen, setImportDialogOpen] = useState(false)\n\n const { data, isLoading, isFetching, error, refetch } = useARLFingerprints({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n })\n\n const bulkDeleteMutation = useBulkDeleteARLFingerprints()\n const deleteAllMutation = useDeleteAllARLFingerprints()\n\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n hour12: false,\n })\n }\n\n const handleExport = async () => {\n try {\n const blob = await FingerprintService.exportARLFingerprints()\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n a.href = url\n a.download = `arl-fingerprints-${Date.now()}.yaml`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n toast.success(tFingerprints(\"toast.exportSuccess\"))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.exportFailed\"))\n }\n }\n\n const handleBulkDelete = async () => {\n if (selectedFingerprints.length === 0) return\n try {\n const ids = selectedFingerprints.map((f) => f.id)\n const result = await bulkDeleteMutation.mutateAsync(ids)\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n setSelectedFingerprints([])\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n const handleDeleteAll = async () => {\n try {\n const result = await deleteAllMutation.mutateAsync()\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n const columns = useMemo(\n () => createARLFingerprintColumns({ formatDate }),\n []\n )\n\n const fingerprints: ARLFingerprint[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n const total = data?.total ?? 0\n const page = data?.page ?? 1\n const serverPageSize = data?.pageSize ?? 10\n const totalPages = data?.totalPages ?? 1\n \n const paginationInfo = useMemo(() => ({\n total,\n page,\n pageSize: serverPageSize,\n totalPages,\n }), [total, page, serverPageSize, totalPages])\n\n if (error) {\n return (\n
\n
\n \n
\n

{tFingerprints(\"loadFailed\")}

\n

\n {error.message || tFingerprints(\"loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tFingerprints(\"reload\")}\n \n
\n )\n }\n\n if (isLoading && !data) {\n return \n }\n\n return (\n <>\n setAddDialogOpen(true)}\n onAddImport={() => setImportDialogOpen(true)}\n onExport={handleExport}\n onBulkDelete={handleBulkDelete}\n onDeleteAll={handleDeleteAll}\n totalCount={data?.total || 0}\n pagination={pagination}\n paginationInfo={paginationInfo}\n onPaginationChange={setPagination}\n />\n\n refetch()}\n />\n\n refetch()}\n />\n \n )\n}\n" }, { "path": "frontend/components/fingerprints/ehole-fingerprint-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell } from \"@/components/ui/data-table/expandable-cell\"\nimport { ChevronDown, ChevronUp } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\nimport type { EholeFingerprint } from \"@/types/fingerprint.types\"\n\ninterface ColumnOptions {\n formatDate: (date: string) => string\n}\n\n/**\n * Keyword list cell - displays 3 by default, expandable for more\n */\nfunction KeywordListCell({ keywords }: { keywords: string[] }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n \n if (!keywords || keywords.length === 0) return -\n \n const displayKeywords = expanded ? keywords : keywords.slice(0, 3)\n const hasMore = keywords.length > 3\n \n return (\n
\n
\n {displayKeywords.map((kw, idx) => (\n
\n {kw}\n
\n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start flex items-center gap-1\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Create EHole fingerprint table column definitions\n */\nexport function createEholeFingerprintColumns({\n formatDate,\n}: ColumnOptions): ColumnDef[] {\n return [\n {\n id: \"select\",\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label=\"Select all\"\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label=\"Select row\"\n />\n ),\n enableSorting: false,\n enableHiding: false,\n enableResizing: false,\n size: 40,\n },\n {\n accessorKey: \"cms\",\n meta: { title: \"CMS\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"method\",\n meta: { title: \"Method\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const method = row.getValue(\"method\") as string\n return (\n \n {method}\n \n )\n },\n enableResizing: false,\n size: 120,\n },\n {\n accessorKey: \"location\",\n meta: { title: \"Location\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const location = row.getValue(\"location\") as string\n return (\n \n {location}\n \n )\n },\n enableResizing: false,\n size: 100,\n },\n {\n accessorKey: \"keyword\",\n meta: { title: \"Keyword\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 300,\n },\n {\n accessorKey: \"type\",\n meta: { title: \"Type\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const type = row.getValue(\"type\") as string\n if (!type || type === \"-\") return \"-\"\n return {type}\n },\n enableResizing: false,\n size: 100,\n },\n {\n accessorKey: \"isImportant\",\n meta: { title: \"Important\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const isImportant = row.getValue(\"isImportant\")\n return {String(isImportant)}\n },\n enableResizing: false,\n size: 100,\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: \"Created\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(date)}\n
\n )\n },\n enableResizing: false,\n size: 160,\n },\n ]\n}\n" }, { "path": "frontend/components/fingerprints/ehole-fingerprint-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport {\n IconChevronDown,\n IconTrash,\n IconDownload,\n IconUpload,\n IconPlus,\n IconSettings,\n} from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { EholeFingerprint } from \"@/types/fingerprint.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport { useTranslations } from \"next-intl\"\n\nconst EHOLE_FILTER_EXAMPLES = [\n 'cms=\"WordPress\"',\n 'type==\"CMS\"',\n 'method=\"keyword\" location=\"body\"',\n 'isImportant=\"true\"',\n]\n\ninterface EholeFingerprintDataTableProps {\n data: EholeFingerprint[]\n columns: ColumnDef[]\n onSelectionChange?: (selectedRows: EholeFingerprint[]) => void\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddSingle?: () => void\n onAddImport?: () => void\n onExport?: () => void\n onBulkDelete?: () => void\n onDeleteAll?: () => void\n totalCount?: number\n pagination?: { pageIndex: number; pageSize: number }\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\nexport function EholeFingerprintDataTable({\n data = [],\n columns,\n onSelectionChange,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddSingle,\n onAddImport,\n onExport,\n onBulkDelete,\n onDeleteAll,\n totalCount = 0,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: EholeFingerprintDataTableProps) {\n const [selectedCount, setSelectedCount] = React.useState(0)\n const [exportDialogOpen, setExportDialogOpen] = React.useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = React.useState(false)\n const [deleteAllDialogOpen, setDeleteAllDialogOpen] = React.useState(false)\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n // EHole filter field configuration (using translations)\n const eholeFilterFields: FilterField[] = React.useMemo(() => [\n { key: \"cms\", label: \"CMS\", description: t(\"filter.ehole.cms\") },\n { key: \"method\", label: \"Method\", description: t(\"filter.ehole.method\") },\n { key: \"location\", label: \"Location\", description: t(\"filter.ehole.location\") },\n { key: \"type\", label: \"Type\", description: t(\"filter.ehole.type\") },\n { key: \"isImportant\", label: \"Important\", description: t(\"filter.ehole.isImportant\") },\n ], [t])\n\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n const handleSelectionChange = (rows: EholeFingerprint[]) => {\n setSelectedCount(rows.length)\n onSelectionChange?.(rows)\n }\n\n // Custom toolbar right-side buttons\n const toolbarRightContent = (\n <>\n {/* Operations menu */}\n \n \n \n \n \n {onExport && (\n setExportDialogOpen(true)}>\n \n {t(\"actions.exportAll\")}\n \n )}\n \n {onBulkDelete && (\n setBulkDeleteDialogOpen(true)}\n disabled={selectedCount === 0}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteSelected\")} ({selectedCount})\n \n )}\n {onDeleteAll && (\n setDeleteAllDialogOpen(true)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteAll\")}\n \n )}\n \n \n\n {/* Add fingerprint */}\n {(onAddSingle || onAddImport) && (\n \n \n \n \n \n {onAddSingle && (\n \n \n {t(\"actions.addSingle\")}\n \n )}\n {onAddImport && (\n \n \n {t(\"actions.importFile\")}\n \n )}\n \n \n )}\n \n )\n\n return (\n <>\n String(row.id)}\n // Pagination\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // Smart filter\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={eholeFilterFields}\n filterExamples={EHOLE_FILTER_EXAMPLES}\n // Selection\n onSelectionChange={handleSelectionChange}\n // Bulk operations - use custom buttons\n showBulkDelete={false}\n showAddButton={false}\n // Empty state\n emptyMessage=\"No results\"\n // Custom toolbar buttons\n toolbarRight={toolbarRightContent}\n />\n\n {/* Export confirmation dialog */}\n \n \n \n {t(\"dialogs.exportTitle\")}\n \n {t(\"dialogs.exportDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onExport?.(); setExportDialogOpen(false); }}>\n {t(\"dialogs.confirmExport\")}\n \n \n \n \n\n {/* Delete selected confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteSelectedTitle\")}\n \n {t(\"dialogs.deleteSelectedDesc\", { count: selectedCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onBulkDelete?.(); setBulkDeleteDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n\n {/* Delete all confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteAllTitle\")}\n \n {t(\"dialogs.deleteAllDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onDeleteAll?.(); setDeleteAllDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/ehole-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { useForm } from \"react-hook-form\"\nimport { toast } from \"sonner\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport {\n Select,\n SelectContent,\n SelectItem,\n SelectTrigger,\n SelectValue,\n} from \"@/components/ui/select\"\nimport {\n useCreateEholeFingerprint,\n useUpdateEholeFingerprint,\n} from \"@/hooks/use-fingerprints\"\nimport type { EholeFingerprint } from \"@/types/fingerprint.types\"\nimport { useTranslations } from \"next-intl\"\n\ninterface EholeFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n fingerprint?: EholeFingerprint | null\n onSuccess?: () => void\n}\n\ninterface FormData {\n cms: string\n method: string\n location: string\n keyword: string\n type: string\n isImportant: boolean\n}\n\nconst METHOD_OPTIONS = [\n { value: \"keyword\", label: \"keyword\" },\n { value: \"faviconhash\", label: \"faviconhash\" },\n { value: \"icon_hash\", label: \"icon_hash\" },\n { value: \"header\", label: \"header\" },\n]\n\nconst LOCATION_OPTIONS = [\n { value: \"body\", label: \"body\" },\n { value: \"header\", label: \"header\" },\n { value: \"title\", label: \"title\" },\n]\n\nexport function EholeFingerprintDialog({\n open,\n onOpenChange,\n fingerprint,\n onSuccess,\n}: EholeFingerprintDialogProps) {\n const isEdit = !!fingerprint\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n const tColumns = useTranslations(\"columns.fingerprint\")\n\n const createMutation = useCreateEholeFingerprint()\n const updateMutation = useUpdateEholeFingerprint()\n\n const {\n register,\n handleSubmit,\n reset,\n setValue,\n watch,\n formState: { errors, isSubmitting },\n } = useForm({\n defaultValues: {\n cms: \"\",\n method: \"keyword\",\n location: \"body\",\n keyword: \"\",\n type: \"-\",\n isImportant: false,\n },\n })\n\n useEffect(() => {\n if (fingerprint) {\n reset({\n cms: fingerprint.cms,\n method: fingerprint.method,\n location: fingerprint.location,\n keyword: fingerprint.keyword.join(\", \"),\n type: fingerprint.type || \"-\",\n isImportant: fingerprint.isImportant,\n })\n } else {\n reset({\n cms: \"\",\n method: \"keyword\",\n location: \"body\",\n keyword: \"\",\n type: \"-\",\n isImportant: false,\n })\n }\n }, [fingerprint, reset])\n\n const onSubmit = async (data: FormData) => {\n const keywordArray = data.keyword\n .split(\",\")\n .map((k) => k.trim())\n .filter((k) => k.length > 0)\n\n if (keywordArray.length === 0) {\n toast.error(t(\"form.keywordRequired\"))\n return\n }\n\n const payload = {\n cms: data.cms.trim(),\n method: data.method,\n location: data.location,\n keyword: keywordArray,\n type: data.type || \"-\",\n isImportant: data.isImportant,\n }\n\n try {\n if (isEdit && fingerprint) {\n await updateMutation.mutateAsync({ id: fingerprint.id, data: payload })\n toast.success(t(\"toast.updateSuccess\"))\n } else {\n await createMutation.mutateAsync(payload)\n toast.success(t(\"toast.createSuccess\"))\n }\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || (isEdit ? t(\"toast.updateFailed\") : t(\"toast.createFailed\")))\n }\n }\n\n const method = watch(\"method\")\n const location = watch(\"location\")\n const isImportant = watch(\"isImportant\")\n\n return (\n \n \n \n {isEdit ? t(\"ehole.editTitle\") : t(\"ehole.addTitle\")}\n \n {isEdit ? t(\"ehole.editDesc\") : t(\"ehole.addDesc\")}\n \n \n\n
\n {/* CMS 名称 */}\n
\n \n \n {errors.cms && (\n

{errors.cms.message}

\n )}\n
\n\n {/* 匹配方式 & 匹配位置 */}\n
\n
\n \n \n
\n\n
\n \n \n
\n
\n\n {/* 关键词 */}\n
\n \n \n {errors.keyword && (\n

{errors.keyword.message}

\n )}\n
\n\n {/* 类型 & 重点资产 */}\n
\n
\n \n \n
\n\n
\n \n
\n setValue(\"isImportant\", !!checked)}\n />\n \n
\n
\n
\n\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/ehole-fingerprint-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { toast } from \"sonner\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n useEholeFingerprints,\n useBulkDeleteEholeFingerprints,\n useDeleteAllEholeFingerprints,\n} from \"@/hooks/use-fingerprints\"\nimport { FingerprintService } from \"@/services/fingerprint.service\"\nimport { EholeFingerprintDataTable } from \"./ehole-fingerprint-data-table\"\nimport { createEholeFingerprintColumns } from \"./ehole-fingerprint-columns\"\nimport { EholeFingerprintDialog } from \"./ehole-fingerprint-dialog\"\nimport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { EholeFingerprint } from \"@/types/fingerprint.types\"\n\nexport function EholeFingerprintView() {\n const tFingerprints = useTranslations(\"tools.fingerprints\")\n const locale = useLocale()\n \n const [selectedFingerprints, setSelectedFingerprints] = useState([])\n const [pagination, setPagination] = useState({ pageIndex: 0, pageSize: 10 })\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [importDialogOpen, setImportDialogOpen] = useState(false)\n\n // Query data\n const { data, isLoading, isFetching, error, refetch } = useEholeFingerprints({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n })\n\n // Mutations\n const bulkDeleteMutation = useBulkDeleteEholeFingerprints()\n const deleteAllMutation = useDeleteAllEholeFingerprints()\n\n // Search state\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // Format date\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n hour12: false,\n })\n }\n\n // Export\n const handleExport = async () => {\n try {\n const blob = await FingerprintService.exportEholeFingerprints()\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n a.href = url\n a.download = `ehole-fingerprints-${Date.now()}.json`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n toast.success(tFingerprints(\"toast.exportSuccess\"))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.exportFailed\"))\n }\n }\n\n // Bulk delete\n const handleBulkDelete = async () => {\n if (selectedFingerprints.length === 0) return\n\n try {\n const ids = selectedFingerprints.map((f) => f.id)\n const result = await bulkDeleteMutation.mutateAsync(ids)\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n setSelectedFingerprints([])\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Delete all\n const handleDeleteAll = async () => {\n try {\n const result = await deleteAllMutation.mutateAsync()\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Column definitions\n const columns = useMemo(\n () => createEholeFingerprintColumns({ formatDate }),\n []\n )\n\n // Transform data\n const fingerprints: EholeFingerprint[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n // Stabilize paginationInfo reference to avoid unnecessary re-renders\n const total = data?.total ?? 0\n const page = data?.page ?? 1\n const serverPageSize = data?.pageSize ?? 10\n const totalPages = data?.totalPages ?? 1\n \n const paginationInfo = useMemo(() => ({\n total,\n page,\n pageSize: serverPageSize,\n totalPages,\n }), [total, page, serverPageSize, totalPages])\n\n // Error state\n if (error) {\n return (\n
\n
\n \n
\n

{tFingerprints(\"loadFailed\")}

\n

\n {error.message || tFingerprints(\"loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tFingerprints(\"reload\")}\n \n
\n )\n }\n\n // Loading state\n if (isLoading && !data) {\n return \n }\n\n return (\n <>\n setAddDialogOpen(true)}\n onAddImport={() => setImportDialogOpen(true)}\n onExport={handleExport}\n onBulkDelete={handleBulkDelete}\n onDeleteAll={handleDeleteAll}\n totalCount={data?.total || 0}\n pagination={pagination}\n paginationInfo={paginationInfo}\n onPaginationChange={setPagination}\n />\n\n {/* Add fingerprint dialog */}\n refetch()}\n />\n\n {/* Import fingerprint dialog */}\n refetch()}\n />\n \n )\n}\n" }, { "path": "frontend/components/fingerprints/fingerprinthub-fingerprint-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell, ExpandableMonoCell } from \"@/components/ui/data-table/expandable-cell\"\nimport { ChevronDown, ChevronUp } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\nimport type { FingerPrintHubFingerprint } from \"@/types/fingerprint.types\"\n\ninterface ColumnOptions {\n formatDate: (date: string) => string\n}\n\n/**\n * Severity badge with color coding (matching Vulnerabilities style)\n */\nfunction SeverityBadge({ severity }: { severity: string }) {\n const severityConfig: Record = {\n critical: { className: \"bg-[#da3633]/10 text-[#da3633] border border-[#da3633]/20 dark:text-[#f85149]\" },\n high: { className: \"bg-[#d29922]/10 text-[#d29922] border border-[#d29922]/20\" },\n medium: { className: \"bg-[#d4a72c]/10 text-[#d4a72c] border border-[#d4a72c]/20\" },\n low: { className: \"bg-[#238636]/10 text-[#238636] border border-[#238636]/20 dark:text-[#3fb950]\" },\n info: { className: \"bg-[#848d97]/10 text-[#848d97] border border-[#848d97]/20\" },\n }\n \n const config = severityConfig[severity?.toLowerCase()] || severityConfig.info\n \n return (\n \n {severity || \"info\"}\n \n )\n}\n\n/**\n * Tags list cell - displays tags with expand/collapse\n */\nfunction TagListCell({ tags }: { tags: string }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n \n if (!tags) return -\n \n const tagArray = tags.split(\",\").map(t => t.trim())\n const displayTags = expanded ? tagArray : tagArray.slice(0, 3)\n const hasMore = tagArray.length > 3\n \n return (\n
\n
\n {displayTags.map((tag, idx) => (\n \n {tag}\n \n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start flex items-center gap-1\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Metadata cell - displays vendor, product, verified and queries\n */\nfunction MetadataCell({ metadata }: { metadata: any }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n \n if (!metadata || Object.keys(metadata).length === 0) {\n return -\n }\n \n const items: { key: string; value: any }[] = []\n Object.entries(metadata).forEach(([key, value]) => {\n items.push({ key, value })\n })\n \n const displayItems = expanded ? items : items.slice(0, 2)\n const hasMore = items.length > 2\n \n return (\n
\n
\n {displayItems.map((item, idx) => (\n
\n \"{item.key}\": {JSON.stringify(item.value)}\n
\n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start inline-flex items-center gap-0.5\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * HTTP matchers cell - displays detailed HTTP rules in JSON format\n */\nfunction HttpMatchersCell({ http }: { http: any[] }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n \n if (!http || http.length === 0) return -\n \n // Extract key fields from http matchers\n const httpItems: { key: string; value: any }[] = []\n const hasMultiple = http.length > 1\n http.forEach((item, idx) => {\n const prefix = hasMultiple ? `[${idx}].` : \"\"\n if (item.path) httpItems.push({ key: `${prefix}path`, value: item.path })\n if (item.method) httpItems.push({ key: `${prefix}method`, value: item.method })\n if (item.matchers) httpItems.push({ key: `${prefix}matchers`, value: item.matchers })\n })\n \n const displayItems = expanded ? httpItems : httpItems.slice(0, 2)\n const hasMore = httpItems.length > 2\n \n return (\n
\n
\n {displayItems.map((item, idx) => (\n
\n \"{item.key}\": {JSON.stringify(item.value)}\n
\n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start inline-flex items-center gap-0.5\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Create FingerPrintHub fingerprint table column definitions\n */\nexport function createFingerPrintHubFingerprintColumns({\n formatDate,\n}: ColumnOptions): ColumnDef[] {\n return [\n {\n id: \"select\",\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label=\"Select all\"\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label=\"Select row\"\n />\n ),\n enableSorting: false,\n enableHiding: false,\n enableResizing: false,\n size: 40,\n },\n {\n accessorKey: \"fpId\",\n meta: { title: \"FP ID\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"name\",\n meta: { title: \"Name\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"author\",\n meta: { title: \"Author\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 120,\n },\n {\n accessorKey: \"severity\",\n meta: { title: \"Severity\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: false,\n size: 100,\n },\n {\n accessorKey: \"tags\",\n meta: { title: \"Tags\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"metadata\",\n meta: { title: \"Metadata\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 300,\n },\n {\n accessorKey: \"http\",\n meta: { title: \"HTTP\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 350,\n },\n {\n accessorKey: \"sourceFile\",\n meta: { title: \"Source File\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: \"Created\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(date)}\n
\n )\n },\n enableResizing: false,\n size: 160,\n },\n ]\n}\n" }, { "path": "frontend/components/fingerprints/fingerprinthub-fingerprint-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport {\n IconChevronDown,\n IconTrash,\n IconDownload,\n IconUpload,\n IconPlus,\n IconSettings,\n} from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { FingerPrintHubFingerprint } from \"@/types/fingerprint.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport { useTranslations } from \"next-intl\"\n\nconst FINGERPRINTHUB_FILTER_EXAMPLES = [\n 'name=\"Apache\"',\n 'severity=\"high\"',\n 'author=\"pdteam\"',\n 'fpId=\"apache-detect\"',\n]\n\ninterface FingerPrintHubFingerprintDataTableProps {\n data: FingerPrintHubFingerprint[]\n columns: ColumnDef[]\n onSelectionChange?: (selectedRows: FingerPrintHubFingerprint[]) => void\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddSingle?: () => void\n onAddImport?: () => void\n onExport?: () => void\n onBulkDelete?: () => void\n onDeleteAll?: () => void\n totalCount?: number\n pagination?: { pageIndex: number; pageSize: number }\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\nexport function FingerPrintHubFingerprintDataTable({\n data = [],\n columns,\n onSelectionChange,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddSingle,\n onAddImport,\n onExport,\n onBulkDelete,\n onDeleteAll,\n totalCount = 0,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: FingerPrintHubFingerprintDataTableProps) {\n const [selectedCount, setSelectedCount] = React.useState(0)\n const [exportDialogOpen, setExportDialogOpen] = React.useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = React.useState(false)\n const [deleteAllDialogOpen, setDeleteAllDialogOpen] = React.useState(false)\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n // FingerPrintHub filter field configuration\n const filterFields: FilterField[] = React.useMemo(() => [\n { key: \"fpId\", label: \"ID\", description: t(\"filter.fingerprinthub.fpId\") },\n { key: \"name\", label: \"Name\", description: t(\"filter.fingerprinthub.name\") },\n { key: \"author\", label: \"Author\", description: t(\"filter.fingerprinthub.author\") },\n { key: \"severity\", label: \"Severity\", description: t(\"filter.fingerprinthub.severity\") },\n ], [t])\n\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n const handleSelectionChange = (rows: FingerPrintHubFingerprint[]) => {\n setSelectedCount(rows.length)\n onSelectionChange?.(rows)\n }\n\n const toolbarRightContent = (\n <>\n \n \n \n \n \n {onExport && (\n setExportDialogOpen(true)}>\n \n {t(\"actions.exportAll\")}\n \n )}\n \n {onBulkDelete && (\n setBulkDeleteDialogOpen(true)}\n disabled={selectedCount === 0}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteSelected\")} ({selectedCount})\n \n )}\n {onDeleteAll && (\n setDeleteAllDialogOpen(true)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteAll\")}\n \n )}\n \n \n\n {(onAddSingle || onAddImport) && (\n \n \n \n \n \n {onAddSingle && (\n \n \n {t(\"actions.addSingle\")}\n \n )}\n {onAddImport && (\n \n \n {t(\"actions.importFile\")}\n \n )}\n \n \n )}\n \n )\n\n return (\n <>\n String(row.id)}\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={filterFields}\n filterExamples={FINGERPRINTHUB_FILTER_EXAMPLES}\n onSelectionChange={handleSelectionChange}\n showBulkDelete={false}\n showAddButton={false}\n emptyMessage=\"No results\"\n toolbarRight={toolbarRightContent}\n />\n\n \n \n \n {t(\"dialogs.exportTitle\")}\n \n {t(\"dialogs.exportDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onExport?.(); setExportDialogOpen(false); }}>\n {t(\"dialogs.confirmExport\")}\n \n \n \n \n\n \n \n \n {t(\"dialogs.deleteSelectedTitle\")}\n \n {t(\"dialogs.deleteSelectedDesc\", { count: selectedCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onBulkDelete?.(); setBulkDeleteDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n\n \n \n \n {t(\"dialogs.deleteAllTitle\")}\n \n {t(\"dialogs.deleteAllDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onDeleteAll?.(); setDeleteAllDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/fingerprinthub-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { useForm } from \"react-hook-form\"\nimport { toast } from \"sonner\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport {\n Select,\n SelectContent,\n SelectItem,\n SelectTrigger,\n SelectValue,\n} from \"@/components/ui/select\"\nimport {\n useCreateFingerPrintHubFingerprint,\n useUpdateFingerPrintHubFingerprint,\n} from \"@/hooks/use-fingerprints\"\nimport type { FingerPrintHubFingerprint } from \"@/types/fingerprint.types\"\nimport { useTranslations } from \"next-intl\"\n\ninterface FingerPrintHubFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n fingerprint?: FingerPrintHubFingerprint | null\n onSuccess?: () => void\n}\n\ninterface FormData {\n fpId: string\n name: string\n author: string\n tags: string\n severity: string\n metadata: string\n http: string\n sourceFile: string\n}\n\nconst SEVERITY_OPTIONS = [\n { value: \"info\", label: \"Info\" },\n { value: \"low\", label: \"Low\" },\n { value: \"medium\", label: \"Medium\" },\n { value: \"high\", label: \"High\" },\n { value: \"critical\", label: \"Critical\" },\n]\n\nexport function FingerPrintHubFingerprintDialog({\n open,\n onOpenChange,\n fingerprint,\n onSuccess,\n}: FingerPrintHubFingerprintDialogProps) {\n const isEdit = !!fingerprint\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n const createMutation = useCreateFingerPrintHubFingerprint()\n const updateMutation = useUpdateFingerPrintHubFingerprint()\n\n const {\n register,\n handleSubmit,\n reset,\n setValue,\n watch,\n formState: { errors, isSubmitting },\n } = useForm({\n defaultValues: {\n fpId: \"\",\n name: \"\",\n author: \"\",\n tags: \"\",\n severity: \"info\",\n metadata: \"{}\",\n http: \"[]\",\n sourceFile: \"\",\n },\n })\n\n useEffect(() => {\n if (fingerprint) {\n reset({\n fpId: fingerprint.fpId,\n name: fingerprint.name,\n author: fingerprint.author || \"\",\n tags: fingerprint.tags || \"\",\n severity: fingerprint.severity || \"info\",\n metadata: JSON.stringify(fingerprint.metadata || {}, null, 2),\n http: JSON.stringify(fingerprint.http || [], null, 2),\n sourceFile: fingerprint.sourceFile || \"\",\n })\n } else {\n reset({\n fpId: \"\",\n name: \"\",\n author: \"\",\n tags: \"\",\n severity: \"info\",\n metadata: \"{}\",\n http: \"[]\",\n sourceFile: \"\",\n })\n }\n }, [fingerprint, reset])\n\n const onSubmit = async (data: FormData) => {\n // Parse metadata JSON\n let metadataObj: any\n try {\n metadataObj = JSON.parse(data.metadata)\n if (typeof metadataObj !== \"object\" || Array.isArray(metadataObj)) {\n toast.error(t(\"form.metadataObjectRequired\"))\n return\n }\n } catch (e) {\n toast.error(t(\"form.metadataJsonInvalid\"))\n return\n }\n\n // Parse http JSON\n let httpArray: any[]\n try {\n httpArray = JSON.parse(data.http)\n if (!Array.isArray(httpArray)) {\n toast.error(t(\"form.httpArrayRequired\"))\n return\n }\n } catch (e) {\n toast.error(t(\"form.httpJsonInvalid\"))\n return\n }\n\n const payload = {\n fpId: data.fpId.trim(),\n name: data.name.trim(),\n author: data.author.trim(),\n tags: data.tags.trim(),\n severity: data.severity,\n metadata: metadataObj,\n http: httpArray,\n sourceFile: data.sourceFile.trim(),\n }\n\n try {\n if (isEdit && fingerprint) {\n await updateMutation.mutateAsync({ id: fingerprint.id, data: payload })\n toast.success(t(\"toast.updateSuccess\"))\n } else {\n await createMutation.mutateAsync(payload)\n toast.success(t(\"toast.createSuccess\"))\n }\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || (isEdit ? t(\"toast.updateFailed\") : t(\"toast.createFailed\")))\n }\n }\n\n const severity = watch(\"severity\")\n\n return (\n \n \n \n {isEdit ? t(\"fingerprinthub.editTitle\") : t(\"fingerprinthub.addTitle\")}\n \n {isEdit ? t(\"fingerprinthub.editDesc\") : t(\"fingerprinthub.addDesc\")}\n \n \n\n
\n {/* FP ID & Name */}\n
\n
\n \n \n {errors.fpId && (\n

{errors.fpId.message}

\n )}\n
\n\n
\n \n \n {errors.name && (\n

{errors.name.message}

\n )}\n
\n
\n\n {/* Author & Severity */}\n
\n
\n \n \n
\n\n
\n \n \n
\n
\n\n {/* Tags */}\n
\n \n \n
\n\n {/* HTTP Matchers (JSON) */}\n
\n \n \n {errors.http && (\n

{errors.http.message}

\n )}\n
\n\n {/* Metadata (JSON) */}\n
\n \n \n
\n\n {/* Source File */}\n
\n \n \n
\n\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/fingerprinthub-fingerprint-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { toast } from \"sonner\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n useFingerPrintHubFingerprints,\n useBulkDeleteFingerPrintHubFingerprints,\n useDeleteAllFingerPrintHubFingerprints,\n} from \"@/hooks/use-fingerprints\"\nimport { FingerprintService } from \"@/services/fingerprint.service\"\nimport { FingerPrintHubFingerprintDataTable } from \"./fingerprinthub-fingerprint-data-table\"\nimport { createFingerPrintHubFingerprintColumns } from \"./fingerprinthub-fingerprint-columns\"\nimport { FingerPrintHubFingerprintDialog } from \"./fingerprinthub-fingerprint-dialog\"\nimport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { FingerPrintHubFingerprint } from \"@/types/fingerprint.types\"\n\nexport function FingerPrintHubFingerprintView() {\n const tFingerprints = useTranslations(\"tools.fingerprints\")\n const locale = useLocale()\n \n const [selectedFingerprints, setSelectedFingerprints] = useState([])\n const [pagination, setPagination] = useState({ pageIndex: 0, pageSize: 10 })\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [importDialogOpen, setImportDialogOpen] = useState(false)\n\n const { data, isLoading, isFetching, error, refetch } = useFingerPrintHubFingerprints({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n })\n\n const bulkDeleteMutation = useBulkDeleteFingerPrintHubFingerprints()\n const deleteAllMutation = useDeleteAllFingerPrintHubFingerprints()\n\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n hour12: false,\n })\n }\n\n const handleExport = async () => {\n try {\n const blob = await FingerprintService.exportFingerPrintHubFingerprints()\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n a.href = url\n a.download = `fingerprinthub-fingerprints-${Date.now()}.json`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n toast.success(tFingerprints(\"toast.exportSuccess\"))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.exportFailed\"))\n }\n }\n\n const handleBulkDelete = async () => {\n if (selectedFingerprints.length === 0) return\n try {\n const ids = selectedFingerprints.map((f) => f.id)\n const result = await bulkDeleteMutation.mutateAsync(ids)\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n setSelectedFingerprints([])\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n const handleDeleteAll = async () => {\n try {\n const result = await deleteAllMutation.mutateAsync()\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n const columns = useMemo(\n () => createFingerPrintHubFingerprintColumns({ formatDate }),\n []\n )\n\n const fingerprints: FingerPrintHubFingerprint[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n const total = data?.total ?? 0\n const page = data?.page ?? 1\n const serverPageSize = data?.pageSize ?? 10\n const totalPages = data?.totalPages ?? 1\n \n const paginationInfo = useMemo(() => ({\n total,\n page,\n pageSize: serverPageSize,\n totalPages,\n }), [total, page, serverPageSize, totalPages])\n\n if (error) {\n return (\n
\n
\n \n
\n

{tFingerprints(\"loadFailed\")}

\n

\n {error.message || tFingerprints(\"loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tFingerprints(\"reload\")}\n \n
\n )\n }\n\n if (isLoading && !data) {\n return \n }\n\n return (\n <>\n setAddDialogOpen(true)}\n onAddImport={() => setImportDialogOpen(true)}\n onExport={handleExport}\n onBulkDelete={handleBulkDelete}\n onDeleteAll={handleDeleteAll}\n totalCount={data?.total || 0}\n pagination={pagination}\n paginationInfo={paginationInfo}\n onPaginationChange={setPagination}\n />\n\n refetch()}\n />\n\n refetch()}\n />\n \n )\n}\n" }, { "path": "frontend/components/fingerprints/fingers-fingerprint-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell } from \"@/components/ui/data-table/expandable-cell\"\nimport { ChevronDown, ChevronUp } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\nimport type { FingersFingerprint } from \"@/types/fingerprint.types\"\n\ninterface ColumnOptions {\n formatDate: (date: string) => string\n}\n\n/**\n * Tag list cell - displays tags as badges\n */\nfunction TagListCell({ tags }: { tags: string[] }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n \n if (!tags || tags.length === 0) return -\n \n const displayTags = expanded ? tags : tags.slice(0, 3)\n const hasMore = tags.length > 3\n \n return (\n
\n
\n {displayTags.map((tag, idx) => (\n \n {tag}\n \n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start flex items-center gap-1\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Extract rule items from rules array\n */\ninterface RuleItem {\n key: string\n value: any\n}\n\nfunction extractRuleItems(rules: any[]): RuleItem[] {\n const items: RuleItem[] = []\n \n rules.forEach((rule) => {\n if (rule.regexps) {\n Object.entries(rule.regexps).forEach(([key, value]) => {\n items.push({ key, value })\n })\n }\n })\n \n return items\n}\n\n/**\n * Rules cell - displays rules in JSON format (matching Wappalyzer style)\n */\nfunction RulesCell({ rules }: { rules: any[] }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n const ruleItems = extractRuleItems(rules)\n \n if (ruleItems.length === 0) {\n return -\n }\n \n const displayItems = expanded ? ruleItems : ruleItems.slice(0, 2)\n const hasMore = ruleItems.length > 2\n \n return (\n
\n
\n {displayItems.map((item, idx) => (\n
\n \"{item.key}\": {JSON.stringify(item.value)}\n
\n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start inline-flex items-center gap-0.5\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Port list cell - displays ports\n */\nfunction PortListCell({ ports }: { ports: number[] }) {\n if (!ports || ports.length === 0) return -\n return (\n
\n {ports.slice(0, 5).map((port, idx) => (\n \n {port}\n \n ))}\n {ports.length > 5 && (\n \n +{ports.length - 5}\n \n )}\n
\n )\n}\n\n/**\n * Create Fingers fingerprint table column definitions\n */\nexport function createFingersFingerprintColumns({\n formatDate,\n}: ColumnOptions): ColumnDef[] {\n return [\n {\n id: \"select\",\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label=\"Select all\"\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label=\"Select row\"\n />\n ),\n enableSorting: false,\n enableHiding: false,\n enableResizing: false,\n size: 40,\n },\n {\n accessorKey: \"focus\",\n meta: { title: \"Focus\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const focus = row.getValue(\"focus\") as boolean\n return (\n \n {String(focus)}\n \n )\n },\n enableResizing: false,\n size: 80,\n },\n {\n accessorKey: \"name\",\n meta: { title: \"Name\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"link\",\n meta: { title: \"Link\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const link = row.getValue(\"link\") as string\n if (!link) return -\n return (\n \n \n \n )\n },\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"rule\",\n meta: { title: \"Rule\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 300,\n },\n {\n accessorKey: \"tag\",\n meta: { title: \"Tag\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"defaultPort\",\n meta: { title: \"Default Port\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 150,\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: \"Created\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(date)}\n
\n )\n },\n enableResizing: false,\n size: 160,\n },\n ]\n}\n" }, { "path": "frontend/components/fingerprints/fingers-fingerprint-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport {\n IconChevronDown,\n IconTrash,\n IconDownload,\n IconUpload,\n IconPlus,\n IconSettings,\n} from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { FingersFingerprint } from \"@/types/fingerprint.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport { useTranslations } from \"next-intl\"\n\nconst FINGERS_FILTER_EXAMPLES = [\n 'name=\"Apache\"',\n 'focus=\"true\"',\n 'link=\"http\"',\n 'name=\"nginx\" focus=\"true\"',\n]\n\ninterface FingersFingerprintDataTableProps {\n data: FingersFingerprint[]\n columns: ColumnDef[]\n onSelectionChange?: (selectedRows: FingersFingerprint[]) => void\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddSingle?: () => void\n onAddImport?: () => void\n onExport?: () => void\n onBulkDelete?: () => void\n onDeleteAll?: () => void\n totalCount?: number\n pagination?: { pageIndex: number; pageSize: number }\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\nexport function FingersFingerprintDataTable({\n data = [],\n columns,\n onSelectionChange,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddSingle,\n onAddImport,\n onExport,\n onBulkDelete,\n onDeleteAll,\n totalCount = 0,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: FingersFingerprintDataTableProps) {\n const [selectedCount, setSelectedCount] = React.useState(0)\n const [exportDialogOpen, setExportDialogOpen] = React.useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = React.useState(false)\n const [deleteAllDialogOpen, setDeleteAllDialogOpen] = React.useState(false)\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n // Fingers filter field configuration\n const fingersFilterFields: FilterField[] = React.useMemo(() => [\n { key: \"name\", label: \"Name\", description: t(\"filter.fingers.name\") },\n { key: \"focus\", label: \"Focus\", description: t(\"filter.fingers.focus\") },\n { key: \"link\", label: \"Link\", description: t(\"filter.fingers.link\") },\n ], [t])\n\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n const handleSelectionChange = (rows: FingersFingerprint[]) => {\n setSelectedCount(rows.length)\n onSelectionChange?.(rows)\n }\n\n // Custom toolbar right-side buttons\n const toolbarRightContent = (\n <>\n {/* Operations menu */}\n \n \n \n \n \n {onExport && (\n setExportDialogOpen(true)}>\n \n {t(\"actions.exportAll\")}\n \n )}\n \n {onBulkDelete && (\n setBulkDeleteDialogOpen(true)}\n disabled={selectedCount === 0}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteSelected\")} ({selectedCount})\n \n )}\n {onDeleteAll && (\n setDeleteAllDialogOpen(true)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteAll\")}\n \n )}\n \n \n\n {/* Add fingerprint */}\n {(onAddSingle || onAddImport) && (\n \n \n \n \n \n {onAddSingle && (\n \n \n {t(\"actions.addSingle\")}\n \n )}\n {onAddImport && (\n \n \n {t(\"actions.importFile\")}\n \n )}\n \n \n )}\n \n )\n\n return (\n <>\n String(row.id)}\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={fingersFilterFields}\n filterExamples={FINGERS_FILTER_EXAMPLES}\n onSelectionChange={handleSelectionChange}\n showBulkDelete={false}\n showAddButton={false}\n emptyMessage=\"No results\"\n toolbarRight={toolbarRightContent}\n />\n\n {/* Export confirmation dialog */}\n \n \n \n {t(\"dialogs.exportTitle\")}\n \n {t(\"dialogs.exportDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onExport?.(); setExportDialogOpen(false); }}>\n {t(\"dialogs.confirmExport\")}\n \n \n \n \n\n {/* Delete selected confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteSelectedTitle\")}\n \n {t(\"dialogs.deleteSelectedDesc\", { count: selectedCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onBulkDelete?.(); setBulkDeleteDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n\n {/* Delete all confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteAllTitle\")}\n \n {t(\"dialogs.deleteAllDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onDeleteAll?.(); setDeleteAllDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/fingers-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { useForm } from \"react-hook-form\"\nimport { toast } from \"sonner\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport {\n useCreateFingersFingerprint,\n useUpdateFingersFingerprint,\n} from \"@/hooks/use-fingerprints\"\nimport type { FingersFingerprint } from \"@/types/fingerprint.types\"\nimport { useTranslations } from \"next-intl\"\n\ninterface FingersFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n fingerprint?: FingersFingerprint | null\n onSuccess?: () => void\n}\n\ninterface FormData {\n name: string\n link: string\n rule: string\n tag: string\n focus: boolean\n defaultPort: string\n}\n\nexport function FingersFingerprintDialog({\n open,\n onOpenChange,\n fingerprint,\n onSuccess,\n}: FingersFingerprintDialogProps) {\n const isEdit = !!fingerprint\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n const createMutation = useCreateFingersFingerprint()\n const updateMutation = useUpdateFingersFingerprint()\n\n const {\n register,\n handleSubmit,\n reset,\n setValue,\n watch,\n formState: { errors, isSubmitting },\n } = useForm({\n defaultValues: {\n name: \"\",\n link: \"\",\n rule: \"[]\",\n tag: \"\",\n focus: false,\n defaultPort: \"\",\n },\n })\n\n useEffect(() => {\n if (fingerprint) {\n reset({\n name: fingerprint.name,\n link: fingerprint.link || \"\",\n rule: JSON.stringify(fingerprint.rule || [], null, 2),\n tag: (fingerprint.tag || []).join(\", \"),\n focus: fingerprint.focus || false,\n defaultPort: (fingerprint.defaultPort || []).join(\", \"),\n })\n } else {\n reset({\n name: \"\",\n link: \"\",\n rule: \"[]\",\n tag: \"\",\n focus: false,\n defaultPort: \"\",\n })\n }\n }, [fingerprint, reset])\n\n const onSubmit = async (data: FormData) => {\n // Parse rule JSON\n let ruleArray: any[]\n try {\n ruleArray = JSON.parse(data.rule)\n if (!Array.isArray(ruleArray)) {\n toast.error(t(\"form.ruleArrayRequired\"))\n return\n }\n } catch (e) {\n toast.error(t(\"form.ruleJsonInvalid\"))\n return\n }\n\n // Parse tags\n const tagArray = data.tag\n .split(\",\")\n .map((t) => t.trim())\n .filter((t) => t.length > 0)\n\n // Parse ports\n const portArray = data.defaultPort\n .split(\",\")\n .map((p) => parseInt(p.trim(), 10))\n .filter((p) => !isNaN(p))\n\n const payload = {\n name: data.name.trim(),\n link: data.link.trim(),\n rule: ruleArray,\n tag: tagArray,\n focus: data.focus,\n defaultPort: portArray,\n }\n\n try {\n if (isEdit && fingerprint) {\n await updateMutation.mutateAsync({ id: fingerprint.id, data: payload })\n toast.success(t(\"toast.updateSuccess\"))\n } else {\n await createMutation.mutateAsync(payload)\n toast.success(t(\"toast.createSuccess\"))\n }\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || (isEdit ? t(\"toast.updateFailed\") : t(\"toast.createFailed\")))\n }\n }\n\n const focus = watch(\"focus\")\n\n return (\n \n \n \n {isEdit ? t(\"fingers.editTitle\") : t(\"fingers.addTitle\")}\n \n {isEdit ? t(\"fingers.editDesc\") : t(\"fingers.addDesc\")}\n \n \n\n
\n {/* Name */}\n
\n \n \n {errors.name && (\n

{errors.name.message}

\n )}\n
\n\n {/* Link */}\n
\n \n \n
\n\n {/* Rule (JSON) */}\n
\n \n \n {errors.rule && (\n

{errors.rule.message}

\n )}\n
\n\n {/* Tags & Focus */}\n
\n
\n \n \n
\n\n
\n \n
\n setValue(\"focus\", !!checked)}\n />\n \n
\n
\n
\n\n {/* Default Ports */}\n
\n \n \n
\n\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/fingers-fingerprint-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { toast } from \"sonner\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n useFingersFingerprints,\n useBulkDeleteFingersFingerprints,\n useDeleteAllFingersFingerprints,\n} from \"@/hooks/use-fingerprints\"\nimport { FingerprintService } from \"@/services/fingerprint.service\"\nimport { FingersFingerprintDataTable } from \"./fingers-fingerprint-data-table\"\nimport { createFingersFingerprintColumns } from \"./fingers-fingerprint-columns\"\nimport { FingersFingerprintDialog } from \"./fingers-fingerprint-dialog\"\nimport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { FingersFingerprint } from \"@/types/fingerprint.types\"\n\nexport function FingersFingerprintView() {\n const tFingerprints = useTranslations(\"tools.fingerprints\")\n const locale = useLocale()\n \n const [selectedFingerprints, setSelectedFingerprints] = useState([])\n const [pagination, setPagination] = useState({ pageIndex: 0, pageSize: 10 })\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [importDialogOpen, setImportDialogOpen] = useState(false)\n\n // Query data\n const { data, isLoading, isFetching, error, refetch } = useFingersFingerprints({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n })\n\n // Mutations\n const bulkDeleteMutation = useBulkDeleteFingersFingerprints()\n const deleteAllMutation = useDeleteAllFingersFingerprints()\n\n // Search state\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // Format date\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n hour12: false,\n })\n }\n\n // Export\n const handleExport = async () => {\n try {\n const blob = await FingerprintService.exportFingersFingerprints()\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n a.href = url\n a.download = `fingers-fingerprints-${Date.now()}.json`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n toast.success(tFingerprints(\"toast.exportSuccess\"))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.exportFailed\"))\n }\n }\n\n // Bulk delete\n const handleBulkDelete = async () => {\n if (selectedFingerprints.length === 0) return\n\n try {\n const ids = selectedFingerprints.map((f) => f.id)\n const result = await bulkDeleteMutation.mutateAsync(ids)\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n setSelectedFingerprints([])\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Delete all\n const handleDeleteAll = async () => {\n try {\n const result = await deleteAllMutation.mutateAsync()\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Column definitions\n const columns = useMemo(\n () => createFingersFingerprintColumns({ formatDate }),\n []\n )\n\n // Transform data\n const fingerprints: FingersFingerprint[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n // Stabilize paginationInfo reference\n const total = data?.total ?? 0\n const page = data?.page ?? 1\n const serverPageSize = data?.pageSize ?? 10\n const totalPages = data?.totalPages ?? 1\n \n const paginationInfo = useMemo(() => ({\n total,\n page,\n pageSize: serverPageSize,\n totalPages,\n }), [total, page, serverPageSize, totalPages])\n\n // Error state\n if (error) {\n return (\n
\n
\n \n
\n

{tFingerprints(\"loadFailed\")}

\n

\n {error.message || tFingerprints(\"loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tFingerprints(\"reload\")}\n \n
\n )\n }\n\n // Loading state\n if (isLoading && !data) {\n return \n }\n\n return (\n <>\n setAddDialogOpen(true)}\n onAddImport={() => setImportDialogOpen(true)}\n onExport={handleExport}\n onBulkDelete={handleBulkDelete}\n onDeleteAll={handleDeleteAll}\n totalCount={data?.total || 0}\n pagination={pagination}\n paginationInfo={paginationInfo}\n onPaginationChange={setPagination}\n />\n\n {/* Add fingerprint dialog */}\n refetch()}\n />\n\n {/* Import fingerprint dialog */}\n refetch()}\n />\n \n )\n}\n" }, { "path": "frontend/components/fingerprints/goby-fingerprint-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell, ExpandableMonoCell } from \"@/components/ui/data-table/expandable-cell\"\nimport { ChevronDown, ChevronUp } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\nimport type { GobyFingerprint } from \"@/types/fingerprint.types\"\n\ninterface ColumnOptions {\n formatDate: (date: string) => string\n}\n\n/**\n * Rule details cell component - displays raw JSON data\n */\nfunction RuleDetailsCell({ rules }: { rules: any[] }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n \n if (!rules || rules.length === 0) return -\n \n const displayRules = expanded ? rules : rules.slice(0, 2)\n const hasMore = rules.length > 2\n \n return (\n
\n
\n {displayRules.map((r, idx) => (\n
\n {JSON.stringify(r)}\n
\n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start flex items-center gap-1\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Create Goby fingerprint table column definitions\n */\nexport function createGobyFingerprintColumns({\n formatDate,\n}: ColumnOptions): ColumnDef[] {\n return [\n {\n id: \"select\",\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label=\"Select all\"\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label=\"Select row\"\n />\n ),\n enableSorting: false,\n enableHiding: false,\n enableResizing: false,\n size: 40,\n },\n {\n accessorKey: \"name\",\n meta: { title: \"Name\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 200,\n },\n {\n accessorKey: \"logic\",\n meta: { title: \"Logic\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: false,\n size: 100,\n },\n {\n accessorKey: \"rule\",\n meta: { title: \"Rules\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const rules = row.getValue(\"rule\") as any[]\n return {rules?.length || 0}\n },\n enableResizing: false,\n size: 80,\n },\n {\n id: \"ruleDetails\",\n meta: { title: \"Rule Details\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 300,\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: \"Created\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(date)}\n
\n )\n },\n enableResizing: false,\n size: 160,\n },\n ]\n}\n" }, { "path": "frontend/components/fingerprints/goby-fingerprint-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport {\n IconChevronDown,\n IconTrash,\n IconDownload,\n IconUpload,\n IconPlus,\n IconSettings,\n} from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { GobyFingerprint } from \"@/types/fingerprint.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport { useTranslations } from \"next-intl\"\n\nconst GOBY_FILTER_EXAMPLES = [\n 'name=\"Apache\"',\n 'name==\"Nginx\"',\n 'logic=\"a||b\"',\n]\n\ninterface GobyFingerprintDataTableProps {\n data: GobyFingerprint[]\n columns: ColumnDef[]\n onSelectionChange?: (selectedRows: GobyFingerprint[]) => void\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddSingle?: () => void\n onAddImport?: () => void\n onExport?: () => void\n onBulkDelete?: () => void\n onDeleteAll?: () => void\n totalCount?: number\n pagination?: { pageIndex: number; pageSize: number }\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\nexport function GobyFingerprintDataTable({\n data = [],\n columns,\n onSelectionChange,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddSingle,\n onAddImport,\n onExport,\n onBulkDelete,\n onDeleteAll,\n totalCount = 0,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: GobyFingerprintDataTableProps) {\n const [selectedCount, setSelectedCount] = React.useState(0)\n const [exportDialogOpen, setExportDialogOpen] = React.useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = React.useState(false)\n const [deleteAllDialogOpen, setDeleteAllDialogOpen] = React.useState(false)\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n\n // Goby filter field configuration (using translations)\n const gobyFilterFields: FilterField[] = React.useMemo(() => [\n { key: \"name\", label: \"Name\", description: t(\"filter.goby.product\") },\n { key: \"logic\", label: \"Logic\", description: t(\"filter.goby.logic\") },\n ], [t])\n\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n const handleSelectionChange = (rows: GobyFingerprint[]) => {\n setSelectedCount(rows.length)\n onSelectionChange?.(rows)\n }\n\n // Custom toolbar right-side buttons\n const toolbarRightContent = (\n <>\n {/* Operations menu */}\n \n \n \n \n \n {onExport && (\n setExportDialogOpen(true)}>\n \n {t(\"actions.exportAll\")}\n \n )}\n \n {onBulkDelete && (\n setBulkDeleteDialogOpen(true)}\n disabled={selectedCount === 0}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteSelected\")} ({selectedCount})\n \n )}\n {onDeleteAll && (\n setDeleteAllDialogOpen(true)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteAll\")}\n \n )}\n \n \n\n {/* Add fingerprint */}\n {(onAddSingle || onAddImport) && (\n \n \n \n \n \n {onAddSingle && (\n \n \n {t(\"actions.addSingle\")}\n \n )}\n {onAddImport && (\n \n \n {t(\"actions.importFile\")}\n \n )}\n \n \n )}\n \n )\n\n return (\n <>\n String(row.id)}\n // Pagination\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // Smart filter\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={gobyFilterFields}\n filterExamples={GOBY_FILTER_EXAMPLES}\n // Selection\n onSelectionChange={handleSelectionChange}\n // Bulk operations - use custom buttons\n showBulkDelete={false}\n showAddButton={false}\n // Empty state\n emptyMessage=\"No results\"\n // Custom toolbar buttons\n toolbarRight={toolbarRightContent}\n />\n\n {/* Export confirmation dialog */}\n \n \n \n {t(\"dialogs.exportTitle\")}\n \n {t(\"dialogs.exportDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onExport?.(); setExportDialogOpen(false); }}>\n {t(\"dialogs.confirmExport\")}\n \n \n \n \n\n {/* Delete selected confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteSelectedTitle\")}\n \n {t(\"dialogs.deleteSelectedDesc\", { count: selectedCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onBulkDelete?.(); setBulkDeleteDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n\n {/* Delete all confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteAllTitle\")}\n \n {t(\"dialogs.deleteAllDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onDeleteAll?.(); setDeleteAllDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/goby-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { useForm, useFieldArray } from \"react-hook-form\"\nimport { toast } from \"sonner\"\nimport { IconPlus, IconTrash } from \"@tabler/icons-react\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport {\n Select,\n SelectContent,\n SelectItem,\n SelectTrigger,\n SelectValue,\n} from \"@/components/ui/select\"\nimport {\n useCreateGobyFingerprint,\n useUpdateGobyFingerprint,\n} from \"@/hooks/use-fingerprints\"\nimport type { GobyFingerprint, GobyRule } from \"@/types/fingerprint.types\"\nimport { useTranslations } from \"next-intl\"\n\ninterface GobyFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n fingerprint?: GobyFingerprint | null\n onSuccess?: () => void\n}\n\ninterface FormData {\n name: string\n logic: string\n rule: GobyRule[]\n}\n\nconst LABEL_OPTIONS = [\n { value: \"title\", label: \"title\" },\n { value: \"header\", label: \"header\" },\n { value: \"body\", label: \"body\" },\n { value: \"server\", label: \"server\" },\n { value: \"banner\", label: \"banner\" },\n { value: \"port\", label: \"port\" },\n { value: \"protocol\", label: \"protocol\" },\n { value: \"cert\", label: \"cert\" },\n]\n\nexport function GobyFingerprintDialog({\n open,\n onOpenChange,\n fingerprint,\n onSuccess,\n}: GobyFingerprintDialogProps) {\n const isEdit = !!fingerprint\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n const tColumns = useTranslations(\"columns.fingerprint\")\n\n const createMutation = useCreateGobyFingerprint()\n const updateMutation = useUpdateGobyFingerprint()\n\n const {\n register,\n handleSubmit,\n reset,\n control,\n setValue,\n watch,\n formState: { errors, isSubmitting },\n } = useForm({\n defaultValues: {\n name: \"\",\n logic: \"a\",\n rule: [{ label: \"title\", feature: \"\", is_equal: true }],\n },\n })\n\n const { fields, append, remove } = useFieldArray({\n control,\n name: \"rule\",\n })\n\n useEffect(() => {\n if (fingerprint) {\n reset({\n name: fingerprint.name,\n logic: fingerprint.logic,\n rule: fingerprint.rule.length > 0 \n ? fingerprint.rule \n : [{ label: \"title\", feature: \"\", is_equal: true }],\n })\n } else {\n reset({\n name: \"\",\n logic: \"a\",\n rule: [{ label: \"title\", feature: \"\", is_equal: true }],\n })\n }\n }, [fingerprint, reset])\n\n const onSubmit = async (data: FormData) => {\n if (data.rule.length === 0) {\n toast.error(t(\"form.logicRequired\"))\n return\n }\n\n const payload = {\n name: data.name.trim(),\n logic: data.logic.trim(),\n rule: data.rule,\n }\n\n try {\n if (isEdit && fingerprint) {\n await updateMutation.mutateAsync({ id: fingerprint.id, data: payload })\n toast.success(t(\"toast.updateSuccess\"))\n } else {\n await createMutation.mutateAsync(payload)\n toast.success(t(\"toast.createSuccess\"))\n }\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || (isEdit ? t(\"toast.updateFailed\") : t(\"toast.createFailed\")))\n }\n }\n\n const addRule = () => {\n const nextLabel = String.fromCharCode(97 + fields.length)\n append({ label: \"title\", feature: \"\", is_equal: true })\n }\n\n const watchedRules = watch(\"rule\")\n\n return (\n \n \n \n {isEdit ? t(\"goby.editTitle\") : t(\"goby.addTitle\")}\n \n {isEdit ? t(\"goby.editDesc\") : t(\"goby.addDesc\")}\n \n \n\n
\n {/* Product name & Logic expression */}\n
\n
\n \n \n {errors.name && (\n

{errors.name.message}

\n )}\n
\n\n
\n \n \n {errors.logic && (\n

{errors.logic.message}

\n )}\n
\n
\n\n {/* Rule list */}\n
\n
\n \n \n
\n \n
\n {fields.map((field, index) => (\n
\n
\n \n
\n
\n \n
\n
\n setValue(`rule.${index}.is_equal`, !!checked)}\n />\n Match\n
\n remove(index)}\n disabled={fields.length <= 1}\n className=\"h-8 w-8 p-0\"\n >\n \n \n
\n ))}\n
\n
\n\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/goby-fingerprint-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { toast } from \"sonner\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n useGobyFingerprints,\n useBulkDeleteGobyFingerprints,\n useDeleteAllGobyFingerprints,\n} from \"@/hooks/use-fingerprints\"\nimport { FingerprintService } from \"@/services/fingerprint.service\"\nimport { GobyFingerprintDataTable } from \"./goby-fingerprint-data-table\"\nimport { createGobyFingerprintColumns } from \"./goby-fingerprint-columns\"\nimport { GobyFingerprintDialog } from \"./goby-fingerprint-dialog\"\nimport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { GobyFingerprint } from \"@/types/fingerprint.types\"\n\nexport function GobyFingerprintView() {\n const [selectedFingerprints, setSelectedFingerprints] = useState([])\n const [pagination, setPagination] = useState({ pageIndex: 0, pageSize: 10 })\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [importDialogOpen, setImportDialogOpen] = useState(false)\n\n const tFingerprints = useTranslations(\"tools.fingerprints\")\n const locale = useLocale()\n\n // Query data\n const { data, isLoading, isFetching, error, refetch } = useGobyFingerprints({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n })\n\n // Mutations\n const bulkDeleteMutation = useBulkDeleteGobyFingerprints()\n const deleteAllMutation = useDeleteAllGobyFingerprints()\n\n // Search state\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // Format date\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n hour12: false,\n })\n }\n\n // Export\n const handleExport = async () => {\n try {\n const blob = await FingerprintService.exportGobyFingerprints()\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n a.href = url\n a.download = `goby-fingerprints-${Date.now()}.json`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n toast.success(tFingerprints(\"toast.exportSuccess\"))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.exportFailed\"))\n }\n }\n\n // Bulk delete\n const handleBulkDelete = async () => {\n if (selectedFingerprints.length === 0) return\n\n try {\n const ids = selectedFingerprints.map((f) => f.id)\n const result = await bulkDeleteMutation.mutateAsync(ids)\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n setSelectedFingerprints([])\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Delete all\n const handleDeleteAll = async () => {\n try {\n const result = await deleteAllMutation.mutateAsync()\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Column definitions\n const columns = useMemo(\n () => createGobyFingerprintColumns({ formatDate }),\n []\n )\n\n // Transform data\n const fingerprints: GobyFingerprint[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n // Stabilize paginationInfo reference to avoid unnecessary re-renders\n const total = data?.total ?? 0\n const page = data?.page ?? 1\n const serverPageSize = data?.pageSize ?? 10\n const totalPages = data?.totalPages ?? 1\n \n const paginationInfo = useMemo(() => ({\n total,\n page,\n pageSize: serverPageSize,\n totalPages,\n }), [total, page, serverPageSize, totalPages])\n\n // Error state\n if (error) {\n return (\n
\n
\n \n
\n

{tFingerprints(\"loadFailed\")}

\n

\n {error.message || tFingerprints(\"loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tFingerprints(\"reload\")}\n \n
\n )\n }\n\n // Loading state\n if (isLoading && !data) {\n return \n }\n\n return (\n <>\n setAddDialogOpen(true)}\n onAddImport={() => setImportDialogOpen(true)}\n onExport={handleExport}\n onBulkDelete={handleBulkDelete}\n onDeleteAll={handleDeleteAll}\n totalCount={data?.total || 0}\n pagination={pagination}\n paginationInfo={paginationInfo}\n onPaginationChange={setPagination}\n />\n\n {/* Add fingerprint dialog */}\n refetch()}\n />\n\n {/* Import fingerprint dialog */}\n refetch()}\n fingerprintType=\"goby\"\n />\n \n )\n}\n" }, { "path": "frontend/components/fingerprints/import-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState } from \"react\"\nimport { toast } from \"sonner\"\nimport { useTranslations } from \"next-intl\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n Dropzone,\n DropzoneContent,\n DropzoneEmptyState,\n} from \"@/components/ui/dropzone\"\nimport {\n useImportEholeFingerprints,\n useImportGobyFingerprints,\n useImportWappalyzerFingerprints,\n useImportFingersFingerprints,\n useImportFingerPrintHubFingerprints,\n useImportARLFingerprints,\n} from \"@/hooks/use-fingerprints\"\n\ntype FingerprintType = \"ehole\" | \"goby\" | \"wappalyzer\" | \"fingers\" | \"fingerprinthub\" | \"arl\"\n\ninterface ImportFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n onSuccess?: () => void\n fingerprintType?: FingerprintType\n acceptedFileTypes?: string\n}\n\nexport function ImportFingerprintDialog({\n open,\n onOpenChange,\n onSuccess,\n fingerprintType = \"ehole\",\n acceptedFileTypes = \".json\",\n}: ImportFingerprintDialogProps) {\n const [files, setFiles] = useState([])\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n const tToast = useTranslations(\"toast\")\n \n const eholeImportMutation = useImportEholeFingerprints()\n const gobyImportMutation = useImportGobyFingerprints()\n const wappalyzerImportMutation = useImportWappalyzerFingerprints()\n const fingersImportMutation = useImportFingersFingerprints()\n const fingerprinthubImportMutation = useImportFingerPrintHubFingerprints()\n const arlImportMutation = useImportARLFingerprints()\n\n // Fingerprint type configuration\n const FINGERPRINT_CONFIG: Record { valid: boolean; error?: string }\n }> = {\n ehole: {\n title: t(\"import.eholeTitle\"),\n description: t(\"import.eholeDesc\"),\n formatHint: t.raw(\"import.eholeFormatHint\") as string,\n validate: (json) => {\n if (!json.fingerprint) {\n return { valid: false, error: t(\"import.eholeInvalidMissing\") }\n }\n if (!Array.isArray(json.fingerprint)) {\n return { valid: false, error: t(\"import.eholeInvalidArray\") }\n }\n if (json.fingerprint.length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n const first = json.fingerprint[0]\n if (!first.cms || !first.keyword) {\n return { valid: false, error: t(\"import.eholeInvalidFields\") }\n }\n return { valid: true }\n },\n },\n goby: {\n title: t(\"import.gobyTitle\"),\n description: t(\"import.gobyDesc\"),\n formatHint: t.raw(\"import.gobyFormatHint\") as string,\n validate: (json) => {\n // Support both array and object formats\n if (Array.isArray(json)) {\n if (json.length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n const first = json[0]\n if (!first.product || !first.rule) {\n return { valid: false, error: t(\"import.gobyInvalidFields\") }\n }\n } else if (typeof json === \"object\" && json !== null) {\n if (Object.keys(json).length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n } else {\n return { valid: false, error: t(\"import.gobyInvalidFormat\") }\n }\n return { valid: true }\n },\n },\n wappalyzer: {\n title: t(\"import.wappalyzerTitle\"),\n description: t(\"import.wappalyzerDesc\"),\n formatHint: t.raw(\"import.wappalyzerFormatHint\") as string,\n validate: (json) => {\n // Support array format\n if (Array.isArray(json)) {\n if (json.length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n return { valid: true }\n }\n // Support object format (apps or technologies)\n const apps = json.apps || json.technologies\n if (apps) {\n if (typeof apps !== \"object\" || Array.isArray(apps)) {\n return { valid: false, error: t(\"import.wappalyzerInvalidApps\") }\n }\n if (Object.keys(apps).length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n return { valid: true }\n }\n // Direct object format\n if (typeof json === \"object\" && json !== null) {\n if (Object.keys(json).length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n return { valid: true }\n }\n return { valid: false, error: t(\"import.wappalyzerInvalidFormat\") }\n },\n },\n fingers: {\n title: t(\"import.fingersTitle\"),\n description: t(\"import.fingersDesc\"),\n formatHint: t.raw(\"import.fingersFormatHint\") as string,\n validate: (json) => {\n if (!Array.isArray(json)) {\n return { valid: false, error: t(\"import.fingersInvalidArray\") }\n }\n if (json.length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n const first = json[0]\n if (!first.name || !first.rule) {\n return { valid: false, error: t(\"import.fingersInvalidFields\") }\n }\n return { valid: true }\n },\n },\n fingerprinthub: {\n title: t(\"import.fingerprinthubTitle\"),\n description: t(\"import.fingerprinthubDesc\"),\n formatHint: t.raw(\"import.fingerprinthubFormatHint\") as string,\n validate: (json) => {\n if (!Array.isArray(json)) {\n return { valid: false, error: t(\"import.fingerprinthubInvalidArray\") }\n }\n if (json.length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n const first = json[0]\n if (!first.id || !first.info) {\n return { valid: false, error: t(\"import.fingerprinthubInvalidFields\") }\n }\n return { valid: true }\n },\n },\n arl: {\n title: t(\"import.arlTitle\"),\n description: t(\"import.arlDesc\"),\n formatHint: t.raw(\"import.arlFormatHint\") as string,\n validate: (json) => {\n // ARL supports both YAML and JSON, validation is done on backend\n if (!Array.isArray(json)) {\n return { valid: false, error: t(\"import.arlInvalidArray\") }\n }\n if (json.length === 0) {\n return { valid: false, error: t(\"import.emptyData\") }\n }\n const first = json[0]\n if (!first.name || !first.rule) {\n return { valid: false, error: t(\"import.arlInvalidFields\") }\n }\n return { valid: true }\n },\n },\n }\n\n const config = FINGERPRINT_CONFIG[fingerprintType]\n \n const importMutation = {\n ehole: eholeImportMutation,\n goby: gobyImportMutation,\n wappalyzer: wappalyzerImportMutation,\n fingers: fingersImportMutation,\n fingerprinthub: fingerprinthubImportMutation,\n arl: arlImportMutation,\n }[fingerprintType]\n\n // Determine accepted file types based on fingerprint type\n const getAcceptConfig = (): Record => {\n if (fingerprintType === \"arl\") {\n return { \n \"application/json\": [\".json\"],\n \"application/x-yaml\": [\".yaml\", \".yml\"],\n \"text/yaml\": [\".yaml\", \".yml\"],\n }\n }\n return { \"application/json\": [\".json\"] }\n }\n\n const handleDrop = (acceptedFiles: File[]) => {\n setFiles(acceptedFiles)\n }\n\n const handleImport = async () => {\n if (files.length === 0) {\n toast.error(tToast(\"selectFileFirst\"))\n return\n }\n\n const file = files[0]\n const isYamlFile = file.name.endsWith('.yaml') || file.name.endsWith('.yml')\n\n // Skip frontend validation for YAML files (ARL), let backend handle it\n if (!isYamlFile) {\n // Frontend basic validation for JSON files\n try {\n const text = await file.text()\n let json: any\n\n // Try standard JSON first\n try {\n json = JSON.parse(text)\n } catch {\n // If standard JSON fails, try JSONL format (for goby)\n if (fingerprintType === \"goby\") {\n const lines = text.trim().split('\\n').filter(line => line.trim())\n if (lines.length === 0) {\n toast.error(t(\"import.emptyData\"))\n return\n }\n // Parse each line as JSON\n json = lines.map((line, index) => {\n try {\n return JSON.parse(line)\n } catch {\n throw new Error(`Line ${index + 1}: Invalid JSON`)\n }\n })\n } else {\n throw new Error(\"Invalid JSON\")\n }\n }\n\n const validation = config.validate(json)\n if (!validation.valid) {\n toast.error(validation.error)\n return\n }\n } catch (e: any) {\n toast.error(e.message || tToast(\"invalidJsonFile\"))\n return\n }\n }\n\n // Validation passed, submit to backend\n try {\n const result = await importMutation.mutateAsync(file)\n toast.success(t(\"import.importSuccessDetail\", { created: result.created, failed: result.failed }))\n setFiles([])\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || tToast(\"importFailed\"))\n }\n }\n\n const handleClose = (open: boolean) => {\n if (!open) {\n setFiles([])\n }\n onOpenChange(open)\n }\n\n return (\n \n \n \n {config.title}\n \n {config.description}\n \n \n\n
\n toast.error(error.message)}\n >\n \n \n \n\n

\n {t(\"import.supportedFormat\")}{\" \"}\n \n {config.formatHint}\n \n

\n
\n\n \n \n \n {importMutation.isPending ? t(\"import.importing\") : tCommon(\"import\")}\n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/index.ts", "content": "// EHole\nexport { EholeFingerprintView } from \"./ehole-fingerprint-view\"\nexport { EholeFingerprintDataTable } from \"./ehole-fingerprint-data-table\"\nexport { createEholeFingerprintColumns } from \"./ehole-fingerprint-columns\"\nexport { EholeFingerprintDialog } from \"./ehole-fingerprint-dialog\"\nexport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\n\n// Goby\nexport { GobyFingerprintView } from \"./goby-fingerprint-view\"\nexport { GobyFingerprintDataTable } from \"./goby-fingerprint-data-table\"\nexport { createGobyFingerprintColumns } from \"./goby-fingerprint-columns\"\nexport { GobyFingerprintDialog } from \"./goby-fingerprint-dialog\"\n\n// Wappalyzer\nexport { WappalyzerFingerprintView } from \"./wappalyzer-fingerprint-view\"\nexport { WappalyzerFingerprintDataTable } from \"./wappalyzer-fingerprint-data-table\"\nexport { createWappalyzerFingerprintColumns } from \"./wappalyzer-fingerprint-columns\"\nexport { WappalyzerFingerprintDialog } from \"./wappalyzer-fingerprint-dialog\"\n\n// Fingers\nexport { FingersFingerprintView } from \"./fingers-fingerprint-view\"\nexport { FingersFingerprintDataTable } from \"./fingers-fingerprint-data-table\"\nexport { createFingersFingerprintColumns } from \"./fingers-fingerprint-columns\"\nexport { FingersFingerprintDialog } from \"./fingers-fingerprint-dialog\"\n\n// FingerPrintHub\nexport { FingerPrintHubFingerprintView } from \"./fingerprinthub-fingerprint-view\"\nexport { FingerPrintHubFingerprintDataTable } from \"./fingerprinthub-fingerprint-data-table\"\nexport { createFingerPrintHubFingerprintColumns } from \"./fingerprinthub-fingerprint-columns\"\nexport { FingerPrintHubFingerprintDialog } from \"./fingerprinthub-fingerprint-dialog\"\n\n// ARL\nexport { ARLFingerprintView } from \"./arl-fingerprint-view\"\nexport { ARLFingerprintDataTable } from \"./arl-fingerprint-data-table\"\nexport { createARLFingerprintColumns } from \"./arl-fingerprint-columns\"\nexport { ARLFingerprintDialog } from \"./arl-fingerprint-dialog\"\n" }, { "path": "frontend/components/fingerprints/wappalyzer-fingerprint-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell, ExpandableMonoCell } from \"@/components/ui/data-table/expandable-cell\"\nimport { ChevronDown, ChevronUp } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\nimport type { WappalyzerFingerprint } from \"@/types/fingerprint.types\"\n\ninterface ColumnOptions {\n formatDate: (date: string) => string\n}\n\ninterface RuleItem {\n key: string\n value: any\n}\n\n/**\n * Extract all rules from fingerprint (keeping original format)\n */\nfunction extractRules(fp: WappalyzerFingerprint): RuleItem[] {\n const rules: RuleItem[] = []\n const ruleKeys = ['cookies', 'headers', 'scriptSrc', 'js', 'meta', 'html'] as const\n \n for (const key of ruleKeys) {\n const value = fp[key]\n if (value && (Array.isArray(value) ? value.length > 0 : Object.keys(value).length > 0)) {\n rules.push({ key, value })\n }\n }\n \n return rules\n}\n\n/**\n * Rules list cell - displays raw JSON format\n */\nfunction RulesCell({ fp }: { fp: WappalyzerFingerprint }) {\n const t = useTranslations(\"tooltips\")\n const [expanded, setExpanded] = React.useState(false)\n const rules = extractRules(fp)\n \n if (rules.length === 0) {\n return -\n }\n \n const displayRules = expanded ? rules : rules.slice(0, 2)\n const hasMore = rules.length > 2\n \n return (\n
\n
\n {displayRules.map((rule, idx) => (\n
\n \"{rule.key}\": {JSON.stringify(rule.value)}\n
\n ))}\n
\n {hasMore && (\n setExpanded(!expanded)}\n className=\"text-xs text-primary hover:underline self-start inline-flex items-center gap-0.5\"\n >\n {expanded ? (\n <>\n \n {t(\"collapse\")}\n \n ) : (\n <>\n \n {t(\"expand\")}\n \n )}\n \n )}\n
\n )\n}\n\n/**\n * Create Wappalyzer fingerprint table column definitions\n */\nexport function createWappalyzerFingerprintColumns({\n formatDate,\n}: ColumnOptions): ColumnDef[] {\n return [\n {\n id: \"select\",\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label=\"Select all\"\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label=\"Select row\"\n />\n ),\n enableSorting: false,\n enableHiding: false,\n enableResizing: false,\n size: 40,\n },\n {\n accessorKey: \"name\",\n meta: { title: \"Name\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 180,\n },\n {\n accessorKey: \"cats\",\n meta: { title: \"Categories\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const cats = row.getValue(\"cats\") as number[]\n if (!cats || cats.length === 0) return -\n return \n },\n enableResizing: true,\n size: 100,\n },\n {\n id: \"rules\",\n meta: { title: \"Rules\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 350,\n },\n {\n accessorKey: \"implies\",\n meta: { title: \"Implies\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const implies = row.getValue(\"implies\") as string[]\n if (!implies || implies.length === 0) return -\n return \n },\n enableResizing: true,\n size: 150,\n },\n {\n accessorKey: \"description\",\n meta: { title: \"Description\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 250,\n },\n {\n accessorKey: \"website\",\n meta: { title: \"Website\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => ,\n enableResizing: true,\n size: 180,\n },\n {\n accessorKey: \"cpe\",\n meta: { title: \"CPE\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n enableResizing: true,\n size: 150,\n },\n {\n accessorKey: \"createdAt\",\n meta: { title: \"Created\" },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const date = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(date)}\n
\n )\n },\n enableResizing: false,\n size: 160,\n },\n ]\n}\n" }, { "path": "frontend/components/fingerprints/wappalyzer-fingerprint-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { useTranslations } from \"next-intl\"\nimport {\n IconChevronDown,\n IconTrash,\n IconDownload,\n IconUpload,\n IconPlus,\n IconSettings,\n} from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { FilterField } from \"@/components/common/smart-filter-input\"\nimport type { WappalyzerFingerprint } from \"@/types/fingerprint.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\n\nconst WAPPALYZER_FILTER_EXAMPLES = [\n 'name=\"WordPress\"',\n 'name==\"React\"',\n 'website=\"wordpress.org\"',\n 'cpe=\"wordpress\"',\n]\n\ninterface WappalyzerFingerprintDataTableProps {\n data: WappalyzerFingerprint[]\n columns: ColumnDef[]\n onSelectionChange?: (selectedRows: WappalyzerFingerprint[]) => void\n filterValue?: string\n onFilterChange?: (value: string) => void\n isSearching?: boolean\n onAddSingle?: () => void\n onAddImport?: () => void\n onExport?: () => void\n onBulkDelete?: () => void\n onDeleteAll?: () => void\n totalCount?: number\n pagination?: { pageIndex: number; pageSize: number }\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\nexport function WappalyzerFingerprintDataTable({\n data = [],\n columns,\n onSelectionChange,\n filterValue,\n onFilterChange,\n isSearching = false,\n onAddSingle,\n onAddImport,\n onExport,\n onBulkDelete,\n onDeleteAll,\n totalCount = 0,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: WappalyzerFingerprintDataTableProps) {\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n const [selectedCount, setSelectedCount] = React.useState(0)\n const [exportDialogOpen, setExportDialogOpen] = React.useState(false)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = React.useState(false)\n const [deleteAllDialogOpen, setDeleteAllDialogOpen] = React.useState(false)\n\n // Wappalyzer filter field configuration (using translations)\n const wappalyzerFilterFields: FilterField[] = React.useMemo(() => [\n { key: \"name\", label: \"Name\", description: t(\"filter.wappalyzer.name\") },\n { key: \"website\", label: \"Website\", description: t(\"filter.wappalyzer.website\") },\n { key: \"cpe\", label: \"CPE\", description: t(\"filter.wappalyzer.cpe\") },\n ], [t])\n\n const handleSmartSearch = (rawQuery: string) => {\n if (onFilterChange) {\n onFilterChange(rawQuery)\n }\n }\n\n const handleSelectionChange = (rows: WappalyzerFingerprint[]) => {\n setSelectedCount(rows.length)\n onSelectionChange?.(rows)\n }\n\n // Custom toolbar right-side buttons\n const toolbarRightContent = (\n <>\n {/* Operations menu */}\n \n \n \n \n \n {onExport && (\n setExportDialogOpen(true)}>\n \n {t(\"actions.exportAll\")}\n \n )}\n \n {onBulkDelete && (\n setBulkDeleteDialogOpen(true)}\n disabled={selectedCount === 0}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteSelected\")} ({selectedCount})\n \n )}\n {onDeleteAll && (\n setDeleteAllDialogOpen(true)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t(\"actions.deleteAll\")}\n \n )}\n \n \n\n {/* Add fingerprint */}\n {(onAddSingle || onAddImport) && (\n \n \n \n \n \n {onAddSingle && (\n \n \n {t(\"actions.addSingle\")}\n \n )}\n {onAddImport && (\n \n \n {t(\"actions.importFile\")}\n \n )}\n \n \n )}\n \n )\n\n return (\n <>\n String(row.id)}\n // Pagination\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // Smart filter\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n isSearching={isSearching}\n filterFields={wappalyzerFilterFields}\n filterExamples={WAPPALYZER_FILTER_EXAMPLES}\n // Selection\n onSelectionChange={handleSelectionChange}\n // Bulk operations - use custom buttons\n showBulkDelete={false}\n showAddButton={false}\n // Empty state\n emptyMessage=\"No results\"\n // Custom toolbar buttons\n toolbarRight={toolbarRightContent}\n />\n\n {/* Export confirmation dialog */}\n \n \n \n {t(\"dialogs.exportTitle\")}\n \n {t(\"dialogs.exportDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onExport?.(); setExportDialogOpen(false); }}>\n {t(\"dialogs.confirmExport\")}\n \n \n \n \n\n {/* Delete selected confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteSelectedTitle\")}\n \n {t(\"dialogs.deleteSelectedDesc\", { count: selectedCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onBulkDelete?.(); setBulkDeleteDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n\n {/* Delete all confirmation dialog */}\n \n \n \n {t(\"dialogs.deleteAllTitle\")}\n \n {t(\"dialogs.deleteAllDesc\", { count: totalCount })}\n \n \n \n {tCommon(\"cancel\")}\n { onDeleteAll?.(); setDeleteAllDialogOpen(false); }}\n className=\"bg-destructive text-destructive-foreground hover:bg-destructive/90\"\n >\n {t(\"dialogs.confirmDelete\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/wappalyzer-fingerprint-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { useForm } from \"react-hook-form\"\nimport { useTranslations } from \"next-intl\"\nimport { toast } from \"sonner\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { Label } from \"@/components/ui/label\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport {\n useCreateWappalyzerFingerprint,\n useUpdateWappalyzerFingerprint,\n} from \"@/hooks/use-fingerprints\"\nimport type { WappalyzerFingerprint } from \"@/types/fingerprint.types\"\n\ninterface WappalyzerFingerprintDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n fingerprint?: WappalyzerFingerprint | null\n onSuccess?: () => void\n}\n\ninterface FormData {\n name: string\n cats: string\n description: string\n website: string\n cpe: string\n cookies: string\n headers: string\n scriptSrc: string\n js: string\n meta: string\n html: string\n implies: string\n}\n\nexport function WappalyzerFingerprintDialog({\n open,\n onOpenChange,\n fingerprint,\n onSuccess,\n}: WappalyzerFingerprintDialogProps) {\n const t = useTranslations(\"tools.fingerprints\")\n const tCommon = useTranslations(\"common.actions\")\n const isEdit = !!fingerprint\n\n const createMutation = useCreateWappalyzerFingerprint()\n const updateMutation = useUpdateWappalyzerFingerprint()\n\n const {\n register,\n handleSubmit,\n reset,\n formState: { errors, isSubmitting },\n } = useForm({\n defaultValues: {\n name: \"\",\n cats: \"\",\n description: \"\",\n website: \"\",\n cpe: \"\",\n cookies: \"{}\",\n headers: \"{}\",\n scriptSrc: \"\",\n js: \"\",\n meta: \"{}\",\n html: \"\",\n implies: \"\",\n },\n })\n\n useEffect(() => {\n if (fingerprint) {\n reset({\n name: fingerprint.name,\n cats: fingerprint.cats?.join(\", \") || \"\",\n description: fingerprint.description || \"\",\n website: fingerprint.website || \"\",\n cpe: fingerprint.cpe || \"\",\n cookies: JSON.stringify(fingerprint.cookies || {}, null, 2),\n headers: JSON.stringify(fingerprint.headers || {}, null, 2),\n scriptSrc: fingerprint.scriptSrc?.join(\", \") || \"\",\n js: fingerprint.js?.join(\", \") || \"\",\n meta: JSON.stringify(fingerprint.meta || {}, null, 2),\n html: fingerprint.html?.join(\", \") || \"\",\n implies: fingerprint.implies?.join(\", \") || \"\",\n })\n } else {\n reset({\n name: \"\",\n cats: \"\",\n description: \"\",\n website: \"\",\n cpe: \"\",\n cookies: \"{}\",\n headers: \"{}\",\n scriptSrc: \"\",\n js: \"\",\n meta: \"{}\",\n html: \"\",\n implies: \"\",\n })\n }\n }, [fingerprint, reset])\n\n const parseArray = (str: string): string[] => {\n return str.split(\",\").map(s => s.trim()).filter(s => s.length > 0)\n }\n\n const parseNumberArray = (str: string): number[] => {\n return str.split(\",\").map(s => parseInt(s.trim(), 10)).filter(n => !isNaN(n))\n }\n\n const parseJson = (str: string): Record => {\n try {\n return JSON.parse(str)\n } catch {\n return {}\n }\n }\n\n const onSubmit = async (data: FormData) => {\n const payload = {\n name: data.name.trim(),\n cats: parseNumberArray(data.cats),\n description: data.description.trim(),\n website: data.website.trim(),\n cpe: data.cpe.trim(),\n cookies: parseJson(data.cookies),\n headers: parseJson(data.headers),\n scriptSrc: parseArray(data.scriptSrc),\n js: parseArray(data.js),\n meta: parseJson(data.meta),\n html: parseArray(data.html),\n implies: parseArray(data.implies),\n }\n\n try {\n if (isEdit && fingerprint) {\n await updateMutation.mutateAsync({ id: fingerprint.id, data: payload })\n toast.success(t(\"toast.updateSuccess\"))\n } else {\n await createMutation.mutateAsync(payload)\n toast.success(t(\"toast.createSuccess\"))\n }\n onOpenChange(false)\n onSuccess?.()\n } catch (error: any) {\n toast.error(error.message || (isEdit ? t(\"toast.updateFailed\") : t(\"toast.createFailed\")))\n }\n }\n\n return (\n \n \n \n {isEdit ? t(\"wappalyzer.editTitle\") : t(\"wappalyzer.addTitle\")}\n \n {isEdit ? t(\"wappalyzer.editDesc\") : t(\"wappalyzer.addDesc\")}\n \n \n\n
\n {/* Basic information */}\n
\n
\n \n \n {errors.name && (\n

{errors.name.message}

\n )}\n
\n\n
\n \n \n
\n
\n\n
\n
\n \n \n
\n\n
\n \n \n
\n
\n\n
\n \n \n
\n\n {/* Detection rules */}\n
\n \n

{t(\"form.detectionRulesHint\")}

\n
\n\n
\n
\n \n \n
\n\n
\n \n \n
\n
\n\n
\n
\n \n \n
\n\n
\n \n \n
\n
\n\n
\n \n \n
\n\n
\n
\n \n \n
\n\n
\n \n \n
\n
\n\n \n \n \n \n
\n \n \n )\n}\n" }, { "path": "frontend/components/fingerprints/wappalyzer-fingerprint-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { toast } from \"sonner\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n useWappalyzerFingerprints,\n useBulkDeleteWappalyzerFingerprints,\n useDeleteAllWappalyzerFingerprints,\n} from \"@/hooks/use-fingerprints\"\nimport { FingerprintService } from \"@/services/fingerprint.service\"\nimport { WappalyzerFingerprintDataTable } from \"./wappalyzer-fingerprint-data-table\"\nimport { createWappalyzerFingerprintColumns } from \"./wappalyzer-fingerprint-columns\"\nimport { WappalyzerFingerprintDialog } from \"./wappalyzer-fingerprint-dialog\"\nimport { ImportFingerprintDialog } from \"./import-fingerprint-dialog\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { WappalyzerFingerprint } from \"@/types/fingerprint.types\"\n\nexport function WappalyzerFingerprintView() {\n const [selectedFingerprints, setSelectedFingerprints] = useState([])\n const [pagination, setPagination] = useState({ pageIndex: 0, pageSize: 10 })\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [importDialogOpen, setImportDialogOpen] = useState(false)\n\n const tFingerprints = useTranslations(\"tools.fingerprints\")\n const locale = useLocale()\n\n // Query data\n const { data, isLoading, isFetching, error, refetch } = useWappalyzerFingerprints({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n })\n\n // Mutations\n const bulkDeleteMutation = useBulkDeleteWappalyzerFingerprints()\n const deleteAllMutation = useDeleteAllWappalyzerFingerprints()\n\n // Search state\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n const handleFilterChange = (value: string) => {\n setIsSearching(true)\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // Format date\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n hour12: false,\n })\n }\n\n // Export\n const handleExport = async () => {\n try {\n const blob = await FingerprintService.exportWappalyzerFingerprints()\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n a.href = url\n a.download = `wappalyzer-fingerprints-${Date.now()}.json`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n toast.success(tFingerprints(\"toast.exportSuccess\"))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.exportFailed\"))\n }\n }\n\n // Bulk delete\n const handleBulkDelete = async () => {\n if (selectedFingerprints.length === 0) return\n\n try {\n const ids = selectedFingerprints.map((f) => f.id)\n const result = await bulkDeleteMutation.mutateAsync(ids)\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n setSelectedFingerprints([])\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Delete all\n const handleDeleteAll = async () => {\n try {\n const result = await deleteAllMutation.mutateAsync()\n toast.success(tFingerprints(\"toast.deleteSuccess\", { count: result.deleted }))\n } catch (error: any) {\n toast.error(error.message || tFingerprints(\"toast.deleteFailed\"))\n }\n }\n\n // Column definitions\n const columns = useMemo(\n () => createWappalyzerFingerprintColumns({ formatDate }),\n []\n )\n\n // Transform data\n const fingerprints: WappalyzerFingerprint[] = useMemo(() => {\n if (!data?.results) return []\n return data.results\n }, [data])\n\n // Stabilize paginationInfo reference to avoid unnecessary re-renders\n const total = data?.total ?? 0\n const page = data?.page ?? 1\n const serverPageSize = data?.pageSize ?? 10\n const totalPages = data?.totalPages ?? 1\n \n const paginationInfo = useMemo(() => ({\n total,\n page,\n pageSize: serverPageSize,\n totalPages,\n }), [total, page, serverPageSize, totalPages])\n\n // Error state\n if (error) {\n return (\n
\n
\n \n
\n

{tFingerprints(\"loadFailed\")}

\n

\n {error.message || tFingerprints(\"loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tFingerprints(\"reload\")}\n \n
\n )\n }\n\n // Loading state\n if (isLoading && !data) {\n return \n }\n\n return (\n <>\n setAddDialogOpen(true)}\n onAddImport={() => setImportDialogOpen(true)}\n onExport={handleExport}\n onBulkDelete={handleBulkDelete}\n onDeleteAll={handleDeleteAll}\n totalCount={data?.total || 0}\n pagination={pagination}\n paginationInfo={paginationInfo}\n onPaginationChange={setPagination}\n />\n\n {/* Add fingerprint dialog */}\n refetch()}\n />\n\n {/* Import fingerprint dialog */}\n refetch()}\n fingerprintType=\"wappalyzer\"\n />\n \n )\n}\n" }, { "path": "frontend/components/ip-addresses/index.ts", "content": "export { IPAddressesView } from \"./ip-addresses-view\"\n" }, { "path": "frontend/components/ip-addresses/ip-addresses-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Badge } from \"@/components/ui/badge\"\nimport {\n Popover,\n PopoverContent,\n PopoverTrigger,\n} from \"@/components/ui/popover\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport type { IPAddress } from \"@/types/ip-address.types\"\nimport { ExpandableCell } from \"@/components/ui/data-table/expandable-cell\"\n\n// Translation type definitions\nexport interface IPAddressTranslations {\n columns: {\n ipAddress: string\n hosts: string\n createdAt: string\n openPorts: string\n }\n actions: {\n selectAll: string\n selectRow: string\n }\n tooltips: {\n allHosts: string\n allOpenPorts: string\n }\n}\n\ninterface CreateColumnsProps {\n formatDate: (value: string) => string\n t: IPAddressTranslations\n}\n\nexport function createIPAddressColumns({\n formatDate,\n t,\n}: CreateColumnsProps): ColumnDef[] {\n return [\n {\n id: \"select\",\n size: 40,\n minSize: 40,\n maxSize: 40,\n enableResizing: false,\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label={t.actions.selectAll}\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label={t.actions.selectRow}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n {\n accessorKey: \"ip\",\n size: 150,\n minSize: 100,\n maxSize: 200,\n meta: { title: t.columns.ipAddress },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"hosts\",\n size: 200,\n minSize: 150,\n maxSize: 350,\n meta: { title: t.columns.hosts },\n header: ({ column }) => (\n \n ),\n cell: ({ getValue }) => {\n const hosts = getValue()\n if (!hosts || hosts.length === 0) {\n return -\n }\n \n const displayHosts = hosts.slice(0, 3)\n const hasMore = hosts.length > 3\n \n return (\n
\n {displayHosts.map((host, index) => (\n \n ))}\n {hasMore && (\n \n \n \n +{hosts.length - 3} more\n \n \n \n
\n

{t.tooltips.allHosts} ({hosts.length})

\n
\n {hosts.map((host, index) => (\n \n {host}\n \n ))}\n
\n
\n \n \n )}\n
\n )\n },\n },\n {\n accessorKey: \"createdAt\",\n size: 150,\n minSize: 120,\n maxSize: 200,\n enableResizing: false,\n meta: { title: t.columns.createdAt },\n header: ({ column }) => (\n \n ),\n cell: ({ getValue }) => {\n const value = getValue()\n return value ? formatDate(value) : \"-\"\n },\n },\n {\n accessorKey: \"ports\",\n size: 250,\n minSize: 150,\n meta: { title: t.columns.openPorts },\n header: ({ column }) => (\n \n ),\n cell: ({ getValue }) => {\n const ports = getValue()\n \n if (!ports || ports.length === 0) {\n return -\n }\n\n const sortedPorts = [...ports].sort((a, b) => a - b)\n const displayPorts = sortedPorts.slice(0, 8)\n const hasMore = sortedPorts.length > 8\n\n return (\n
\n {displayPorts.map((port, index) => (\n \n {port}\n \n ))}\n {hasMore && (\n \n \n \n +{sortedPorts.length - 8} more\n \n \n \n
\n

{t.tooltips.allOpenPorts} ({sortedPorts.length})

\n
\n {sortedPorts.map((port, index) => (\n \n {port}\n \n ))}\n
\n
\n \n \n )}\n
\n )\n },\n },\n ]\n}\n" }, { "path": "frontend/components/ip-addresses/ip-addresses-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { useTranslations } from \"next-intl\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport { PREDEFINED_FIELDS, type FilterField } from \"@/components/common/smart-filter-input\"\nimport type { IPAddress } from \"@/types/ip-address.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\nimport type { DownloadOption } from \"@/types/data-table.types\"\n\n// IP address page filter field configuration\nconst IP_ADDRESS_FILTER_FIELDS: FilterField[] = [\n PREDEFINED_FIELDS.ip,\n PREDEFINED_FIELDS.port,\n PREDEFINED_FIELDS.host,\n]\n\n// IP address page filter examples\nconst IP_ADDRESS_FILTER_EXAMPLES = [\n 'ip=\"192.168.1.*\" && port=\"80\"',\n 'port=\"443\" || port=\"8443\"',\n 'host=\"api.example.com\" && port!=\"22\"',\n]\n\ninterface IPAddressesDataTableProps {\n data: IPAddress[]\n columns: ColumnDef[]\n filterValue?: string\n onFilterChange?: (value: string) => void\n pagination?: { pageIndex: number; pageSize: number }\n setPagination?: React.Dispatch>\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n onBulkDelete?: () => void\n onSelectionChange?: (selectedRows: IPAddress[]) => void\n onDownloadAll?: () => void\n onDownloadSelected?: () => void\n}\n\nexport function IPAddressesDataTable({\n data = [],\n columns,\n filterValue = \"\",\n onFilterChange,\n pagination,\n setPagination,\n paginationInfo,\n onPaginationChange,\n onBulkDelete,\n onSelectionChange,\n onDownloadAll,\n onDownloadSelected,\n}: IPAddressesDataTableProps) {\n const t = useTranslations(\"common.status\")\n const tDownload = useTranslations(\"common.download\")\n const tActions = useTranslations(\"common.actions\")\n \n // Smart search handler\n const handleSmartSearch = (rawQuery: string) => {\n onFilterChange?.(rawQuery)\n }\n\n // Download options\n const downloadOptions: DownloadOption[] = []\n if (onDownloadAll) {\n downloadOptions.push({\n key: \"all\",\n label: tDownload(\"all\"),\n onClick: onDownloadAll,\n })\n }\n if (onDownloadSelected) {\n downloadOptions.push({\n key: \"selected\",\n label: tDownload(\"selected\"),\n onClick: onDownloadSelected,\n disabled: (count) => count === 0,\n })\n }\n\n return (\n row.ip}\n // Pagination\n pagination={pagination}\n setPagination={setPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // Smart filter\n searchMode=\"smart\"\n searchValue={filterValue}\n onSearch={handleSmartSearch}\n filterFields={IP_ADDRESS_FILTER_FIELDS}\n filterExamples={IP_ADDRESS_FILTER_EXAMPLES}\n // Selection\n onSelectionChange={onSelectionChange}\n // Bulk operations\n onBulkDelete={onBulkDelete}\n bulkDeleteLabel={tActions(\"delete\")}\n showAddButton={false}\n // Download\n downloadOptions={downloadOptions.length > 0 ? downloadOptions : undefined}\n // Empty state\n emptyMessage={t(\"noData\")}\n />\n )\n}\n" }, { "path": "frontend/components/ip-addresses/ip-addresses-view.tsx", "content": "\"use client\"\n\nimport React, { useCallback, useMemo, useState } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { IPAddressesDataTable } from \"./ip-addresses-data-table\"\nimport { createIPAddressColumns } from \"./ip-addresses-columns\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport { Button } from \"@/components/ui/button\"\nimport { useTargetIPAddresses, useScanIPAddresses } from \"@/hooks/use-ip-addresses\"\nimport { ConfirmDialog } from \"@/components/ui/confirm-dialog\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { IPAddress } from \"@/types/ip-address.types\"\nimport { IPAddressService } from \"@/services/ip-address.service\"\nimport { toast } from \"sonner\"\n\nexport function IPAddressesView({\n targetId,\n scanId,\n}: {\n targetId?: number\n scanId?: number\n}) {\n const [pagination, setPagination] = useState({\n pageIndex: 0,\n pageSize: 10,\n })\n const [selectedIPAddresses, setSelectedIPAddresses] = useState([])\n const [filterQuery, setFilterQuery] = useState(\"\")\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [isDeleting, setIsDeleting] = useState(false)\n\n // Internationalization\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tTooltips = useTranslations(\"tooltips\")\n const tToast = useTranslations(\"toast\")\n const tStatus = useTranslations(\"common.status\")\n const locale = useLocale()\n\n // Build translation object\n const translations = useMemo(() => ({\n columns: {\n ipAddress: tColumns(\"ipAddress.ipAddress\"),\n hosts: tColumns(\"ipAddress.hosts\"),\n createdAt: tColumns(\"common.createdAt\"),\n openPorts: tColumns(\"ipAddress.openPorts\"),\n },\n actions: {\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n tooltips: {\n allHosts: tTooltips(\"allHosts\"),\n allOpenPorts: tTooltips(\"allOpenPorts\"),\n },\n }), [tColumns, tCommon, tTooltips])\n\n const handleFilterChange = (value: string) => {\n setFilterQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n const targetQuery = useTargetIPAddresses(\n targetId || 0,\n {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n },\n { enabled: !!targetId }\n )\n\n const scanQuery = useScanIPAddresses(\n scanId || 0,\n {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n filter: filterQuery || undefined,\n },\n { enabled: !!scanId }\n )\n\n const activeQuery = targetId ? targetQuery : scanQuery\n const { data, isLoading, error, refetch } = activeQuery\n\n const formatDate = useCallback((dateString: string) => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }, [locale])\n\n const columns = useMemo(\n () =>\n createIPAddressColumns({\n formatDate,\n t: translations,\n }),\n [formatDate, translations]\n )\n\n const ipAddresses: IPAddress[] = useMemo(() => {\n return data?.results ?? []\n }, [data])\n\n const paginationInfo = data\n ? {\n total: data.total,\n page: data.page,\n pageSize: data.pageSize,\n totalPages: data.totalPages,\n }\n : undefined\n const handleSelectionChange = useCallback((selectedRows: IPAddress[]) => {\n setSelectedIPAddresses(selectedRows)\n }, [])\n\n // Handle download all IP addresses\n const handleDownloadAll = async () => {\n try {\n let blob: Blob | null = null\n\n if (scanId) {\n blob = await IPAddressService.exportIPAddressesByScanId(scanId)\n } else if (targetId) {\n blob = await IPAddressService.exportIPAddressesByTargetId(targetId)\n } else {\n if (!ipAddresses || ipAddresses.length === 0) {\n return\n }\n // Frontend CSV generation (fallback when no scanId/targetId)\n const csvContent = generateCSV(ipAddresses)\n blob = new Blob([csvContent], { type: \"text/csv;charset=utf-8\" })\n }\n\n if (!blob) return\n\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n const prefix = scanId ? `scan-${scanId}` : targetId ? `target-${targetId}` : \"ip-addresses\"\n a.href = url\n a.download = `${prefix}-ip-addresses-${Date.now()}.csv`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n } catch (error) {\n console.error(\"Failed to download IP address list\", error)\n toast.error(tToast(\"downloadFailed\"))\n }\n }\n\n // Format date as YYYY-MM-DD HH:MM:SS (consistent with backend)\n const formatDateForCSV = (dateString: string): string => {\n if (!dateString) return ''\n const date = new Date(dateString)\n const year = date.getFullYear()\n const month = String(date.getMonth() + 1).padStart(2, '0')\n const day = String(date.getDate()).padStart(2, '0')\n const hours = String(date.getHours()).padStart(2, '0')\n const minutes = String(date.getMinutes()).padStart(2, '0')\n const seconds = String(date.getSeconds()).padStart(2, '0')\n return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`\n }\n\n // Generate CSV content (original format: one row per host+port combination)\n const generateCSV = (items: IPAddress[]): string => {\n const BOM = '\\ufeff'\n const headers = ['ip', 'host', 'port', 'created_at']\n \n const escapeCSV = (value: string): string => {\n if (value.includes(',') || value.includes('\"') || value.includes('\\n')) {\n return `\"${value.replace(/\"/g, '\"\"')}\"`\n }\n return value\n }\n \n // Expand aggregated data to original format: one row per (ip, host, port) combination\n const rows: string[] = []\n for (const item of items) {\n for (const host of item.hosts) {\n for (const port of item.ports) {\n rows.push([\n escapeCSV(item.ip),\n escapeCSV(host),\n escapeCSV(String(port)),\n escapeCSV(formatDateForCSV(item.createdAt))\n ].join(','))\n }\n }\n }\n \n return BOM + [headers.join(','), ...rows].join('\\n')\n }\n\n // Handle download selected IP addresses\n const handleDownloadSelected = () => {\n if (selectedIPAddresses.length === 0) {\n return\n }\n \n const csvContent = generateCSV(selectedIPAddresses)\n const blob = new Blob([csvContent], { type: \"text/csv;charset=utf-8\" })\n const url = URL.createObjectURL(blob)\n const a = document.createElement(\"a\")\n const prefix = scanId ? `scan-${scanId}` : targetId ? `target-${targetId}` : \"ip-addresses\"\n a.href = url\n a.download = `${prefix}-ip-addresses-selected-${Date.now()}.csv`\n document.body.appendChild(a)\n a.click()\n document.body.removeChild(a)\n URL.revokeObjectURL(url)\n }\n\n // Handle bulk delete\n const handleBulkDelete = async () => {\n if (selectedIPAddresses.length === 0) return\n \n setIsDeleting(true)\n try {\n // IP addresses are aggregated, pass IP strings instead of IDs\n const ips = selectedIPAddresses.map(ip => ip.ip)\n const result = await IPAddressService.bulkDelete(ips)\n toast.success(tToast(\"deleteSuccess\", { count: result.deletedCount }))\n setSelectedIPAddresses([])\n setDeleteDialogOpen(false)\n refetch()\n } catch (error) {\n console.error(\"Failed to delete IP addresses\", error)\n toast.error(tToast(\"deleteFailed\"))\n } finally {\n setIsDeleting(false)\n }\n }\n\n if (error) {\n return (\n
\n
\n \n
\n

{tStatus(\"error\")}

\n

\n {error.message || tStatus(\"error\")}\n

\n \n
\n )\n }\n\n if (isLoading && !data) {\n return (\n \n )\n }\n\n return (\n <>\n setDeleteDialogOpen(true) : undefined}\n />\n\n {/* Delete confirmation dialog */}\n \n \n )\n}\n" }, { "path": "frontend/components/language-switcher.tsx", "content": "'use client'\n\nimport { useLocale, useTranslations } from 'next-intl'\nimport { usePathname, useRouter } from '@/i18n/navigation'\nimport { locales, localeNames, type Locale } from '@/i18n/config'\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuTrigger,\n} from '@/components/ui/dropdown-menu'\nimport { Button } from '@/components/ui/button'\nimport { IconLanguage, IconCheck } from '@tabler/icons-react'\n\n/**\n * Language switcher component\n * Displays current language, click to switch to other supported languages\n */\nexport function LanguageSwitcher() {\n const locale = useLocale() as Locale\n const router = useRouter()\n const pathname = usePathname()\n const tCommon = useTranslations(\"common\")\n\n const handleLocaleChange = (newLocale: Locale) => {\n if (newLocale !== locale) {\n router.replace(pathname, { locale: newLocale })\n }\n }\n\n return (\n \n \n \n \n \n {locales.map((l) => (\n handleLocaleChange(l)}\n className=\"flex items-center justify-between\"\n >\n {localeNames[l]}\n {locale === l && }\n \n ))}\n \n \n )\n}\n" }, { "path": "frontend/components/loading-spinner.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { cn } from \"@/lib/utils\"\nimport { Spinner } from \"@/components/ui/spinner\"\n\ninterface LoadingSpinnerProps {\n size?: \"sm\" | \"md\" | \"lg\"\n className?: string\n}\n\n/**\n * Unified loading animation component\n * \n * Features:\n * - Three sizes: sm(16px), md(24px), lg(32px)\n * - Supports custom styles\n * - Uses Tailwind CSS animations\n */\nexport function LoadingSpinner({ size = \"sm\", className }: LoadingSpinnerProps) {\n const sizeMap = {\n sm: \"size-4\",\n md: \"size-6\", \n lg: \"size-8\"\n }\n\n return \n}\n\ninterface LoadingStateProps {\n message?: string\n size?: \"sm\" | \"md\" | \"lg\"\n className?: string\n}\n\n/**\n * Loading state component with text\n * \n * Used for page-level loading state display\n */\nexport function LoadingState({ \n message, \n size = \"md\", \n className \n}: LoadingStateProps) {\n const sizeMap = {\n sm: \"size-4\",\n md: \"size-6\", \n lg: \"size-8\"\n }\n\n return (\n
\n
\n \n

{message}

\n
\n
\n )\n}\n\n\ninterface LoadingOverlayProps {\n isLoading: boolean\n message?: string\n children: React.ReactNode\n}\n\n/**\n * Loading overlay component\n * \n * Displays loading overlay on existing content\n */\nexport function LoadingOverlay({ \n isLoading, \n message, \n children \n}: LoadingOverlayProps) {\n return (\n
\n {children}\n {isLoading && (\n
\n
\n \n

{message}

\n
\n
\n )}\n
\n )\n}\n" }, { "path": "frontend/components/nav-secondary.tsx", "content": "\"use client\" // Mark as client component, can use browser APIs and interactive features\n\n// Import React library\nimport * as React from \"react\"\n// Import icon type\nimport { type Icon } from \"@tabler/icons-react\"\n\n// Import sidebar related components\nimport {\n SidebarGroup, // Sidebar group\n SidebarGroupContent, // Sidebar group content\n SidebarMenu, // Sidebar menu\n SidebarMenuButton, // Sidebar menu button\n SidebarMenuItem, // Sidebar menu item\n} from '@/components/ui/sidebar'\n\n/**\n * Secondary navigation component\n * Displays secondary navigation menu items, typically used for settings, help, etc.\n * \n * @param {Object} props - Component properties\n * @param {Array} props.items - Navigation items array\n * @param {string} props.items[].title - Navigation item title\n * @param {string} props.items[].url - Navigation item link\n * @param {Icon} props.items[].icon - Navigation item icon\n * @param {...any} props - Other properties passed to SidebarGroup\n */\nexport function NavSecondary({\n items,\n ...props // Other properties passed to SidebarGroup\n}: {\n items: {\n title: string // Navigation item title\n url: string // Navigation item URL\n icon: Icon // Navigation item icon\n }[]\n} & React.ComponentPropsWithoutRef) {\n return (\n {/* Pass all other properties */}\n {/* Sidebar group content */}\n \n {/* Sidebar menu */}\n \n {/* Iterate through secondary navigation items */}\n {items.map((item) => (\n \n {/* Navigation menu button, rendered as link using asChild */}\n \n {/* Navigation link */}\n {/* Navigation item icon */}\n {item.title} {/* Navigation item title */}\n \n \n \n ))}\n \n \n \n )\n}\n" }, { "path": "frontend/components/nav-system.tsx", "content": "\"use client\"\n\nimport { type Icon } from \"@tabler/icons-react\"\nimport { useTranslations } from \"next-intl\"\n\nimport { Link, usePathname } from \"@/i18n/navigation\"\n\nimport {\n SidebarGroup,\n SidebarGroupLabel,\n SidebarMenu,\n SidebarMenuButton,\n SidebarMenuItem,\n} from \"@/components/ui/sidebar\"\n\nexport function NavSystem({\n items,\n}: {\n items: {\n name: string\n url: string\n icon: Icon\n }[]\n}) {\n const pathname = usePathname()\n const tNav = useTranslations(\"navigation\")\n const normalize = (p: string) => (p !== \"/\" && p.endsWith(\"/\") ? p.slice(0, -1) : p)\n const current = normalize(pathname)\n\n return (\n \n {tNav(\"settings\")}\n \n {items.map((item) => {\n const navUrl = normalize(item.url)\n const isActive = current === navUrl || current.startsWith(navUrl + \"/\")\n\n return (\n \n \n \n \n {item.name}\n \n \n \n )\n })}\n \n \n )\n}\n" }, { "path": "frontend/components/nav-user.tsx", "content": "\"use client\" // Mark as client component, can use browser APIs and interactive features\n\nimport React from \"react\"\n// Import icon components\nimport {\n IconDotsVertical, // Vertical three-dot icon\n IconKey, // Key icon\n IconLogout, // Logout icon\n} from \"@tabler/icons-react\"\n\n// Import avatar related components\nimport {\n Avatar, // Avatar container\n AvatarFallback, // Avatar fallback display\n AvatarImage, // Avatar image\n} from '@/components/ui/avatar'\n// Import dropdown menu related components\nimport {\n DropdownMenu, // Dropdown menu container\n DropdownMenuContent, // Dropdown menu content\n DropdownMenuItem, // Dropdown menu item\n DropdownMenuLabel, // Dropdown menu label\n DropdownMenuSeparator, // Dropdown menu separator\n DropdownMenuTrigger, // Dropdown menu trigger\n} from '@/components/ui/dropdown-menu'\n// Import sidebar related components\nimport {\n SidebarMenu, // Sidebar menu\n SidebarMenuButton, // Sidebar menu button\n SidebarMenuItem, // Sidebar menu item\n useSidebar, // Sidebar Hook\n} from '@/components/ui/sidebar'\nimport { useAuth, useLogout } from '@/hooks/use-auth'\nimport { ChangePasswordDialog } from '@/components/auth/change-password-dialog'\n\n/**\n * User navigation component\n * Displays user information and user-related action menu\n * \n * @param {Object} props - Component properties\n * @param {Object} props.user - User information\n * @param {string} props.user.name - User name\n * @param {string} props.user.email - User email\n * @param {string} props.user.avatar - User avatar URL\n */\nexport function NavUser({\n user,\n}: {\n user: {\n name: string // User name\n email: string // User email\n avatar: string // User avatar URL\n }\n}) {\n const { isMobile } = useSidebar() // Get mobile state\n const { data: auth } = useAuth()\n const { mutate: logout, isPending: isLoggingOut } = useLogout()\n const [showChangePassword, setShowChangePassword] = React.useState(false)\n \n // Use real username (if logged in)\n const displayName = auth?.user?.username || user.name\n\n return (\n <>\n \n \n \n {/* User dropdown menu */}\n \n {/* Dropdown menu trigger */}\n \n \n {/* User avatar */}\n {/* 8x8 size, rounded, grayscale */}\n {/* User avatar image */}\n CN {/* Fallback display */}\n \n {/* User information area */}\n
\n {displayName} {/* User name */}\n {/* User email */}\n {/* {user.email} */}\n \n
\n {/* Three-dot menu icon */}\n {/* Auto left margin, 4x4 size */}\n \n \n {/* Dropdown menu content */}\n \n {/* User information label */}\n {/* No padding, normal font */}\n
\n {/* User avatar */}\n \n {/* User avatar image */}\n CN {/* Fallback display */}\n \n {/* User information */}\n
\n {displayName} {/* User name */}\n {/* User email */}\n {/* {user.email} */}\n \n
\n
\n \n {/* Separator */}\n \n {/* Change password */}\n setShowChangePassword(true)}>\n \n Change Password\n \n {/* Logout option */}\n logout()}\n disabled={isLoggingOut}\n >\n \n {isLoggingOut ? 'Logging out...' : 'Logout'}\n \n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/notifications/index.ts", "content": "/**\n * Notification center module exports\n */\n\nexport { NotificationDrawer } from './notification-drawer'\n" }, { "path": "frontend/components/notifications/notification-drawer.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport { Bell, AlertTriangle, Activity, Info, Server, BellOff, Wifi, WifiOff, CheckCheck, Loader2 } from \"lucide-react\"\nimport { Button } from \"@/components/ui/button\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { ScrollArea } from \"@/components/ui/scroll-area\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport {\n Sheet,\n SheetContent,\n SheetHeader,\n SheetTitle,\n SheetTrigger,\n} from \"@/components/ui/sheet\"\nimport { cn } from \"@/lib/utils\"\nimport { transformBackendNotification, useNotificationSSE } from \"@/hooks/use-notification-sse\"\nimport { useMarkAllAsRead, useNotifications } from \"@/hooks/use-notifications\"\nimport type { Notification, NotificationType, NotificationSeverity } from \"@/types/notification.types\"\n\n/**\n * Notification drawer component\n * A side panel that slides out from the right, displaying detailed notification information\n */\n\n/** Connection status indicator */\nfunction ConnectionStatus({ isConnected, t }: { isConnected: boolean, t: ReturnType }) {\n return (\n
\n \n {isConnected && (\n \n )}\n \n \n \n {isConnected ? t(\"status.realtime\") : t(\"status.offline\")}\n \n
\n )\n}\n\n/** Notification skeleton screen */\nfunction NotificationSkeleton() {\n return (\n
\n {[1, 2, 3].map((i) => (\n
\n
\n \n
\n \n \n \n
\n
\n
\n ))}\n
\n )\n}\n\n/** Time grouping helper function */\nfunction getTimeGroup(dateStr?: string): 'today' | 'yesterday' | 'earlier' {\n if (!dateStr) return 'earlier'\n const date = new Date(dateStr)\n const now = new Date()\n const today = new Date(now.getFullYear(), now.getMonth(), now.getDate())\n const yesterday = new Date(today.getTime() - 24 * 60 * 60 * 1000)\n \n if (date >= today) return 'today'\n if (date >= yesterday) return 'yesterday'\n return 'earlier'\n}\n\nexport function NotificationDrawer() {\n const t = useTranslations(\"notificationDrawer\")\n const [open, setOpen] = React.useState(false)\n const [activeFilter, setActiveFilter] = React.useState('all')\n const queryParams = React.useMemo(() => ({ pageSize: 100 }), [])\n const { data: notificationResponse, isLoading: isHistoryLoading } = useNotifications(queryParams)\n const { mutate: markAllAsRead, isPending: isMarkingAll } = useMarkAllAsRead()\n\n // Filter tab configuration\n const filterTabs: { value: NotificationType | 'all'; label: string; icon?: React.ReactNode }[] = [\n { value: 'all', label: t(\"filters.all\") },\n { value: 'scan', label: t(\"filters.scan\"), icon: },\n { value: 'vulnerability', label: t(\"filters.vulnerability\"), icon: },\n { value: 'asset', label: t(\"filters.asset\"), icon: },\n { value: 'system', label: t(\"filters.system\"), icon: },\n ]\n\n // Category title mapping\n const categoryTitleMap: Record = {\n scan: t(\"categories.scan\"),\n vulnerability: t(\"categories.vulnerability\"),\n asset: t(\"categories.asset\"),\n system: t(\"categories.system\"),\n }\n\n // Time group labels\n const timeGroupLabels = {\n today: t(\"timeGroups.today\"),\n yesterday: t(\"timeGroups.yesterday\"),\n earlier: t(\"timeGroups.earlier\"),\n }\n\n // SSE real-time notifications\n const { notifications: sseNotifications, isConnected, markNotificationsAsRead } = useNotificationSSE()\n\n const [historyNotifications, setHistoryNotifications] = React.useState([])\n\n React.useEffect(() => {\n if (!notificationResponse?.results) return\n const backendNotifications = notificationResponse.results ?? []\n setHistoryNotifications(backendNotifications.map(transformBackendNotification))\n }, [notificationResponse])\n\n // Merge SSE and API notifications, SSE takes priority\n const allNotifications = React.useMemo(() => {\n const seen = new Set()\n const merged: Notification[] = []\n\n for (const notification of sseNotifications) {\n if (!seen.has(notification.id)) {\n merged.push(notification)\n seen.add(notification.id)\n }\n }\n\n for (const notification of historyNotifications) {\n if (!seen.has(notification.id)) {\n merged.push(notification)\n seen.add(notification.id)\n }\n }\n\n return merged.sort((a, b) => {\n const aTime = a.createdAt ? new Date(a.createdAt).getTime() : 0\n const bTime = b.createdAt ? new Date(b.createdAt).getTime() : 0\n return bTime - aTime\n })\n }, [historyNotifications, sseNotifications])\n\n // Unread notification count\n const unreadCount = allNotifications.filter(n => n.unread).length\n\n const unreadByType = React.useMemo>(() => {\n const counts: Record = {\n all: 0,\n scan: 0,\n vulnerability: 0,\n asset: 0,\n system: 0,\n }\n\n allNotifications.forEach(notification => {\n if (!notification.unread) return\n counts.all += 1\n if (counts[notification.type] !== undefined) {\n counts[notification.type] += 1\n }\n })\n\n return counts\n }, [allNotifications])\n\n // Filtered notification list\n const filteredNotifications = React.useMemo(() => {\n if (activeFilter === 'all') return allNotifications\n return allNotifications.filter(n => n.type === activeFilter)\n }, [allNotifications, activeFilter])\n\n // Get notification icon\n const severityIconClassMap: Record = {\n critical: \"text-[#da3633] dark:text-[#f85149]\",\n high: \"text-[#d29922]\",\n medium: \"text-[#d4a72c]\",\n low: \"text-[#848d97]\",\n }\n\n const getNotificationIcon = (type: NotificationType, severity?: NotificationSeverity) => {\n const severityClass = severity ? severityIconClassMap[severity] : \"text-gray-500\"\n\n if (type === \"vulnerability\") {\n return \n }\n if (type === \"scan\") {\n return \n }\n if (type === \"asset\") {\n return \n }\n return \n }\n\n const severityCardClassMap: Record = {\n critical: \"border-[#da3633]/30 bg-[#da3633]/5 hover:bg-[#da3633]/10 dark:border-[#f85149]/30 dark:bg-[#f85149]/5 dark:hover:bg-[#f85149]/10\",\n high: \"border-[#d29922]/30 bg-[#d29922]/5 hover:bg-[#d29922]/10 dark:border-[#d29922]/30 dark:bg-[#d29922]/5 dark:hover:bg-[#d29922]/10\",\n medium: \"border-[#d4a72c]/30 bg-[#d4a72c]/5 hover:bg-[#d4a72c]/10 dark:border-[#d4a72c]/30 dark:bg-[#d4a72c]/5 dark:hover:bg-[#d4a72c]/10\",\n low: \"border-[#848d97]/30 bg-[#848d97]/5 hover:bg-[#848d97]/10 dark:border-[#848d97]/30 dark:bg-[#848d97]/5 dark:hover:bg-[#848d97]/10\",\n }\n\n const getNotificationCardClasses = (severity?: NotificationSeverity) => {\n if (!severity) {\n return \"border-border bg-card hover:bg-accent/50\"\n }\n return cn(\"border-border\", severityCardClassMap[severity] ?? \"\")\n }\n\n const handleMarkAll = React.useCallback(() => {\n if (allNotifications.length === 0 || isMarkingAll) return\n markAllAsRead(undefined, {\n onSuccess: () => {\n // Update history notification status\n setHistoryNotifications(prev => prev.map(notification => ({ ...notification, unread: false })))\n // Update SSE real-time notification status\n markNotificationsAsRead()\n },\n })\n }, [allNotifications.length, isMarkingAll, markAllAsRead, markNotificationsAsRead])\n\n // Group notifications by time\n const groupedNotifications = React.useMemo(() => {\n const groups: Record<'today' | 'yesterday' | 'earlier', Notification[]> = {\n today: [],\n yesterday: [],\n earlier: [],\n }\n \n filteredNotifications.forEach(notification => {\n const group = getTimeGroup(notification.createdAt)\n groups[group].push(notification)\n })\n \n return groups\n }, [filteredNotifications])\n\n // Render single notification card\n const renderNotificationCard = (notification: Notification) => (\n \n {notification.unread && (\n \n )}\n
\n
\n {getNotificationIcon(notification.type, notification.severity)}\n
\n
\n {/* Category title + time */}\n
\n \n {categoryTitleMap[notification.type]}\n \n \n {notification.time}\n \n
\n {/* Notification title */}\n

\n {notification.title}\n

\n {/* Notification description - supports line breaks */}\n

\n {notification.description}\n

\n
\n
\n
\n )\n\n // Render notification list (with time grouping)\n const renderNotificationList = () => {\n const hasAny = filteredNotifications.length > 0\n \n if (!hasAny) {\n return (\n
\n \n

{t(\"empty\")}

\n
\n )\n }\n\n return (\n
\n {(['today', 'yesterday', 'earlier'] as const).map(group => {\n const items = groupedNotifications[group]\n if (items.length === 0) return null\n \n return (\n
\n

\n {timeGroupLabels[group]}\n

\n
\n {items.map(renderNotificationCard)}\n
\n
\n )\n })}\n
\n )\n }\n\n return (\n \n \n \n \n \n \n
\n {t(\"title\")}\n
\n \n {isMarkingAll ? : t(\"markAllRead\")}\n \n
\n
\n \n\n {/* Category filter tabs */}\n
\n {filterTabs.map((tab) => (\n setActiveFilter(tab.value)}\n className={cn(\n \"inline-flex items-center gap-1 px-2.5 py-1 rounded-full text-xs font-medium transition-all whitespace-nowrap\",\n activeFilter === tab.value\n ? \"bg-primary text-primary-foreground shadow-sm\"\n : \"bg-muted text-muted-foreground hover:bg-accent hover:text-accent-foreground\"\n )}\n >\n {tab.icon}\n {tab.label}\n {unreadByType[tab.value] > 0 && (\n \n )}\n \n ))}\n
\n\n \n
\n {isHistoryLoading && allNotifications.length === 0 ? (\n \n ) : (\n renderNotificationList()\n )}\n
\n \n \n \n )\n}\n" }, { "path": "frontend/components/organization/add-organization-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState, useRef, useMemo } from \"react\"\nimport { Plus, Building2, Target } from \"lucide-react\"\nimport { useForm } from \"react-hook-form\"\nimport { zodResolver } from \"@hookform/resolvers/zod\"\nimport * as z from \"zod\"\nimport { useTranslations } from \"next-intl\"\n\nimport { Button } from \"@/components/ui/button\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n DialogTrigger,\n} from \"@/components/ui/dialog\"\nimport { Input } from \"@/components/ui/input\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { TargetValidator } from \"@/lib/target-validator\"\nimport {\n Form,\n FormControl,\n FormDescription,\n FormField,\n FormItem,\n FormLabel,\n FormMessage,\n} from \"@/components/ui/form\"\n\nimport { useCreateOrganization } from \"@/hooks/use-organizations\"\nimport { useBatchCreateTargets } from \"@/hooks/use-targets\"\n\nimport type { Organization } from \"@/types/organization.types\"\n\ninterface AddOrganizationDialogProps {\n onAdd?: (organization: Organization) => void\n open?: boolean\n onOpenChange?: (open: boolean) => void\n}\n\nexport function AddOrganizationDialog({ \n onAdd, \n open: externalOpen, \n onOpenChange: externalOnOpenChange \n}: AddOrganizationDialogProps) {\n const t = useTranslations(\"organization.dialog\")\n const tValidation = useTranslations(\"organization.validation\")\n\n const formSchema = z.object({\n name: z.string()\n .min(2, { message: tValidation(\"nameMin\", { min: 2 }) })\n .max(50, { message: tValidation(\"nameMax\", { max: 50 }) }),\n description: z.string().max(200, { message: tValidation(\"descMax\", { max: 200 }) }).optional(),\n targets: z.string().optional(),\n })\n\n type FormValues = z.infer\n\n const [internalOpen, setInternalOpen] = useState(false)\n const open = externalOpen !== undefined ? externalOpen : internalOpen\n const setOpen = externalOnOpenChange || setInternalOpen\n\n const lineNumbersRef = useRef(null)\n const textareaRef = useRef(null)\n\n const createOrganization = useCreateOrganization()\n const batchCreateTargets = useBatchCreateTargets()\n \n const form = useForm({\n resolver: zodResolver(formSchema),\n defaultValues: {\n name: \"\",\n description: \"\",\n targets: \"\",\n },\n })\n\n const targetsText = form.watch(\"targets\") || \"\"\n\n const targetValidation = useMemo(() => {\n const lines = targetsText\n .split(\"\\n\")\n .map((s) => s.trim())\n .filter((s) => s.length > 0)\n\n if (lines.length === 0) {\n return { count: 0, invalid: [] }\n }\n\n const results = TargetValidator.validateTargetBatch(lines)\n const invalid = results\n .filter((r) => !r.isValid)\n .map((r) => ({ index: r.index, originalTarget: r.originalTarget, error: r.error || tValidation(\"targetInvalid\"), type: r.type }))\n \n return { count: lines.length, invalid }\n }, [targetsText, tValidation])\n\n const handleTextareaScroll = (e: React.UIEvent) => {\n if (lineNumbersRef.current) {\n lineNumbersRef.current.scrollTop = e.currentTarget.scrollTop\n }\n }\n\n const onSubmit = (values: FormValues) => {\n if (targetValidation.invalid.length > 0) return\n\n createOrganization.mutate(\n {\n name: values.name.trim(),\n description: values.description?.trim() || \"\",\n },\n {\n onSuccess: (newOrganization) => {\n if (values.targets && values.targets.trim()) {\n const targetList = values.targets\n .split(\"\\n\")\n .map(line => line.trim())\n .filter(line => line.length > 0)\n .map(name => ({ name }))\n\n if (targetList.length > 0) {\n batchCreateTargets.mutate(\n { targets: targetList, organizationId: newOrganization.id },\n {\n onSuccess: () => {\n form.reset()\n setOpen(false)\n if (onAdd) onAdd(newOrganization)\n }\n }\n )\n } else {\n form.reset()\n setOpen(false)\n if (onAdd) onAdd(newOrganization)\n }\n } else {\n form.reset()\n setOpen(false)\n if (onAdd) onAdd(newOrganization)\n }\n }\n }\n )\n }\n\n const handleOpenChange = (newOpen: boolean) => {\n if (!createOrganization.isPending && !batchCreateTargets.isPending) {\n setOpen(newOpen)\n if (!newOpen) form.reset()\n }\n }\n\n const isFormValid = form.formState.isValid && targetValidation.invalid.length === 0\n const isSubmitting = createOrganization.isPending || batchCreateTargets.isPending\n\n return (\n \n {externalOpen === undefined && (\n \n \n \n )}\n \n \n \n \n \n {t(\"addTitle\")}\n \n {t(\"addDesc\")}\n \n \n
\n \n
\n (\n \n \n {t(\"orgName\")} *\n \n \n \n \n \n {t(\"characters\", { count: field.value.length, max: 50 })}\n \n \n \n )}\n />\n \n (\n \n {t(\"orgDesc\")}\n \n \n \n \n {t(\"characters\", { count: (field.value || \"\").length, max: 200 })}\n \n \n \n )}\n />\n\n (\n \n \n \n {t(\"addTargets\")}\n \n \n
\n
\n
\n
\n {Array.from({ length: Math.max(field.value?.split('\\n').length || 1, 15) }, (_, i) => (\n
{i + 1}
\n ))}\n
\n
\n { field.ref(e); textareaRef.current = e }}\n onScroll={handleTextareaScroll}\n placeholder={t(\"targetsPlaceholder\")}\n disabled={isSubmitting}\n className=\"font-mono h-full overflow-y-auto resize-none border-0 focus-visible:ring-0 focus-visible:ring-offset-0 leading-[1.4] text-sm py-3\"\n style={{ lineHeight: '20px' }}\n />\n
\n
\n \n \n {t(\"targetCount\", { count: targetValidation.count })}\n {targetValidation.invalid.length > 0 && (\n \n | {t(\"invalidCount\", { count: targetValidation.invalid.length })}\n \n )}\n \n {targetValidation.invalid.length > 0 && (\n
\n {t(\"invalidExample\", { \n line: targetValidation.invalid[0].index + 1, \n target: targetValidation.invalid[0].originalTarget, \n error: targetValidation.invalid[0].error \n })}\n
\n )}\n \n \n )}\n />\n
\n \n \n \n \n \n
\n \n \n \n )\n}\n" }, { "path": "frontend/components/organization/edit-organization-dialog.tsx", "content": "\"use client\"\n\nimport React, { useEffect } from \"react\"\nimport { Edit, Building2 } from \"lucide-react\"\nimport { useForm } from \"react-hook-form\"\nimport { zodResolver } from \"@hookform/resolvers/zod\"\nimport * as z from \"zod\"\nimport { useTranslations } from \"next-intl\"\n\nimport { Button } from \"@/components/ui/button\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Input } from \"@/components/ui/input\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport {\n Form,\n FormControl,\n FormDescription,\n FormField,\n FormItem,\n FormLabel,\n FormMessage,\n} from \"@/components/ui/form\"\n\nimport { useUpdateOrganization } from \"@/hooks/use-organizations\"\n\nimport type { Organization } from \"@/types/organization.types\"\n\ninterface EditOrganizationDialogProps {\n organization: Organization\n open: boolean\n onOpenChange: (open: boolean) => void\n onEdit: (organization: Organization) => void\n}\n\nexport function EditOrganizationDialog({ \n organization, \n open, \n onOpenChange, \n onEdit \n}: EditOrganizationDialogProps) {\n const t = useTranslations(\"organization.dialog\")\n const tValidation = useTranslations(\"organization.validation\")\n\n const formSchema = z.object({\n name: z.string()\n .min(2, { message: tValidation(\"nameMin\", { min: 2 }) })\n .max(50, { message: tValidation(\"nameMax\", { max: 50 }) }),\n description: z.string().max(200, { message: tValidation(\"descMax\", { max: 200 }) }).optional(),\n })\n\n type FormValues = z.infer\n\n const updateOrganization = useUpdateOrganization()\n\n const form = useForm({\n resolver: zodResolver(formSchema),\n defaultValues: {\n name: organization?.name || \"\",\n description: organization?.description || \"\",\n },\n })\n\n useEffect(() => {\n if (organization) {\n form.reset({\n name: organization.name || \"\",\n description: organization.description || \"\",\n })\n }\n }, [organization, form])\n\n const hasChanges = form.formState.isDirty\n\n const onSubmit = (values: FormValues) => {\n updateOrganization.mutate(\n {\n id: Number(organization.id),\n data: {\n name: values.name.trim(),\n description: values.description?.trim() || \"\",\n }\n },\n {\n onSuccess: (updatedOrganization) => {\n onEdit(updatedOrganization)\n onOpenChange(false)\n }\n }\n )\n }\n\n const handleOpenChange = (newOpen: boolean) => {\n if (!updateOrganization.isPending) {\n onOpenChange(newOpen)\n }\n }\n\n const handleReset = () => {\n form.reset({\n name: organization.name || \"\",\n description: organization.description || \"\",\n })\n }\n\n return (\n \n \n \n \n \n {t(\"editTitle\")}\n \n {t(\"editDesc\")}\n \n \n
\n \n
\n (\n \n \n {t(\"orgName\")} *\n \n \n \n \n \n {t(\"characters\", { count: field.value.length, max: 50 })}\n \n \n \n )}\n />\n \n (\n \n {t(\"orgDesc\")}\n \n \n \n \n {t(\"characters\", { count: (field.value || \"\").length, max: 200 })}\n \n \n \n )}\n />\n\n {hasChanges && (\n
\n {t(\"changesDetected\")}\n
\n )}\n
\n \n \n \n \n {hasChanges && (\n \n )}\n \n \n \n
\n \n \n \n )\n}\n" }, { "path": "frontend/components/organization/index.ts", "content": "/**\n * Organization Components - 统一导出\n */\nexport { OrganizationList } from './organization-list'\nexport { OrganizationDataTable } from './organization-data-table'\nexport { createOrganizationColumns } from './organization-columns'\nexport { OrganizationDetailView } from './organization-detail-view'\nexport { AddOrganizationDialog } from './add-organization-dialog'\nexport { EditOrganizationDialog } from './edit-organization-dialog'\n\n" }, { "path": "frontend/components/organization/organization-columns.tsx", "content": "\"use client\"\n\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Button } from \"@/components/ui/button\"\nimport { Badge } from \"@/components/ui/badge\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport { MoreHorizontal, Play, Calendar, Edit, Trash2, Eye } from \"lucide-react\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport { ExpandableCell } from \"@/components/ui/data-table/expandable-cell\"\nimport {\n Tooltip,\n TooltipContent,\n TooltipProvider,\n TooltipTrigger,\n} from \"@/components/ui/tooltip\"\nimport Link from \"next/link\"\n\nimport type { Organization } from \"@/types/organization.types\"\n\n// Translation type definitions\nexport interface OrganizationTranslations {\n columns: {\n organization: string\n description: string\n totalTargets: string\n added: string\n }\n actions: {\n scheduleScan: string\n editOrganization: string\n delete: string\n openMenu: string\n selectAll: string\n selectRow: string\n }\n tooltips: {\n targetSummary: string\n initiateScan: string\n }\n}\n\n// Column creation function parameter types\ninterface CreateColumnsProps {\n formatDate: (dateString: string) => string\n navigate: (path: string) => void\n handleEdit: (org: Organization) => void\n handleDelete: (org: Organization) => void\n handleInitiateScan: (org: Organization) => void\n handleScheduleScan: (org: Organization) => void\n t: OrganizationTranslations\n}\n\n/**\n * Organization row actions component\n */\nfunction OrganizationRowActions({ \n onScheduleScan,\n onEdit, \n onDelete,\n t,\n}: {\n onScheduleScan: () => void\n onEdit: () => void\n onDelete: () => void\n t: OrganizationTranslations\n}) {\n return (\n \n \n \n \n {t.actions.openMenu}\n \n \n \n \n \n {t.actions.scheduleScan}\n \n \n \n \n {t.actions.editOrganization}\n \n \n \n {t.actions.delete}\n \n \n \n )\n}\n\n/**\n * Create organization table column definitions\n */\nexport const createOrganizationColumns = ({\n formatDate,\n navigate,\n handleEdit,\n handleDelete,\n handleInitiateScan,\n handleScheduleScan,\n t,\n}: CreateColumnsProps): ColumnDef[] => [\n {\n id: \"select\",\n size: 40,\n minSize: 40,\n maxSize: 40,\n enableResizing: false,\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label={t.actions.selectAll}\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label={t.actions.selectRow}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n {\n accessorKey: \"name\",\n size: 200,\n minSize: 150,\n meta: { title: t.columns.organization },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const organization = row.original\n return (\n
\n \n {row.getValue(\"name\")}\n \n
\n )\n },\n },\n {\n accessorKey: \"description\",\n size: 300,\n minSize: 200,\n meta: { title: t.columns.description },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"targetCount\",\n size: 120,\n minSize: 80,\n meta: { title: t.columns.totalTargets },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const targetCount = row.original.targetCount ?? 0\n return (\n
\n \n {targetCount}\n \n
\n )\n },\n },\n {\n accessorKey: \"createdAt\",\n size: 150,\n minSize: 120,\n meta: { title: t.columns.added },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const createdAt = row.getValue(\"createdAt\") as string | undefined\n const isZeroTime = createdAt && (\n createdAt === \"0001-01-01T00:00:00Z\" ||\n createdAt.startsWith(\"0001-01-01\")\n )\n\n return (\n
\n {createdAt && !isZeroTime ? formatDate(createdAt) : (\n -\n )}\n
\n )\n },\n },\n {\n id: \"actions\",\n size: 120,\n minSize: 120,\n maxSize: 120,\n enableResizing: false,\n cell: ({ row }) => (\n
\n \n \n \n navigate(`/organization/${row.original.id}`)}\n >\n \n \n \n \n

{t.tooltips.targetSummary}

\n \n \n \n\n \n \n \n handleInitiateScan(row.original)}\n >\n \n \n \n \n

{t.tooltips.initiateScan}

\n \n \n \n\n handleScheduleScan(row.original)}\n onEdit={() => handleEdit(row.original)}\n onDelete={() => handleDelete(row.original)}\n t={t}\n />\n
\n ),\n enableSorting: false,\n enableHiding: false,\n },\n]\n" }, { "path": "frontend/components/organization/organization-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport { IconSearch, IconLoader2 } from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { OrganizationDataTableProps } from \"@/types/organization.types\"\n\nexport function OrganizationDataTable({\n data,\n columns,\n onAddNew,\n onBulkDelete,\n onSelectionChange,\n searchPlaceholder,\n searchColumn = \"name\",\n searchValue,\n onSearch,\n isSearching,\n pagination: externalPagination,\n paginationInfo,\n onPaginationChange,\n}: OrganizationDataTableProps) {\n const t = useTranslations(\"organization\")\n const tActions = useTranslations(\"common.actions\")\n // 本地搜索输入状态（只在回车或点击按钮时触发搜索）\n const [localSearchValue, setLocalSearchValue] = React.useState(searchValue ?? \"\")\n \n React.useEffect(() => {\n setLocalSearchValue(searchValue ?? \"\")\n }, [searchValue])\n\n const handleSearchSubmit = () => {\n if (onSearch) {\n onSearch(localSearchValue)\n }\n }\n\n const handleKeyDown = (e: React.KeyboardEvent) => {\n if (e.key === 'Enter') {\n handleSearchSubmit()\n }\n }\n\n // 默认排序\n const defaultSorting = [{ id: \"createdAt\", desc: true }]\n\n return (\n String(row.id)}\n // 分页\n pagination={externalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // 选择\n onSelectionChange={onSelectionChange}\n // 批量操作\n onBulkDelete={onBulkDelete}\n bulkDeleteLabel={tActions(\"delete\")}\n onAddNew={onAddNew}\n addButtonLabel={t(\"addOrganization\")}\n // 排序\n defaultSorting={defaultSorting}\n // 空状态\n emptyMessage={t(\"noResults\")}\n // 自定义搜索框\n toolbarLeft={\n
\n setLocalSearchValue(e.target.value)}\n onKeyDown={handleKeyDown}\n className=\"h-8 max-w-sm\"\n />\n \n
\n }\n />\n )\n}\n" }, { "path": "frontend/components/organization/organization-detail-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { useRouter } from \"next/navigation\"\nimport { Building2, AlertTriangle } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { TargetsDataTable } from \"./targets/targets-data-table\"\nimport { createTargetColumns } from \"./targets/targets-columns\"\nimport { AddTargetDialog } from \"./targets/add-target-dialog\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { useOrganization, useOrganizationTargets, useUnlinkTargetsFromOrganization } from \"@/hooks/use-organizations\"\nimport type { Target } from \"@/types/target.types\"\nimport { toast } from \"sonner\"\n\n/**\n * Organization detail view component\n * Displays organization statistics and target list\n */\nexport function OrganizationDetailView({\n organizationId\n}: {\n organizationId: string\n}) {\n const [selectedTargets, setSelectedTargets] = useState([])\n const [isAddDialogOpen, setIsAddDialogOpen] = useState(false)\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [targetToDelete, setTargetToDelete] = useState(null)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = useState(false)\n\n // Internationalization\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tTooltips = useTranslations(\"tooltips\")\n const tTarget = useTranslations(\"target\")\n const tConfirm = useTranslations(\"common.confirm\")\n const tOrg = useTranslations(\"organization\")\n const locale = useLocale()\n\n // Build translation object\n const translations = useMemo(() => ({\n columns: {\n targetName: tColumns(\"target.target\"),\n type: tColumns(\"common.type\"),\n },\n actions: {\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n tooltips: {\n viewDetails: tTooltips(\"viewDetails\"),\n unlinkTarget: tTooltips(\"unlinkTarget\"),\n clickToCopy: tTooltips(\"clickToCopy\"),\n copied: tTooltips(\"copied\"),\n },\n types: {\n domain: tTarget(\"types.domain\"),\n ip: tTarget(\"types.ip\"),\n cidr: tTarget(\"types.cidr\"),\n },\n }), [tColumns, tCommon, tTooltips, tTarget])\n\n // Pagination state\n const [pagination, setPagination] = useState({\n pageIndex: 0,\n pageSize: 10,\n })\n\n // Search state\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n\n const handleSearchChange = (value: string) => {\n setIsSearching(true)\n setSearchQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // Use unlink targets mutation\n const unlinkTargets = useUnlinkTargetsFromOrganization()\n\n // Use React Query to get organization basic info\n const {\n data: organization,\n isLoading: isLoadingOrg,\n error: orgError,\n } = useOrganization(parseInt(organizationId))\n\n // Use React Query to get organization's target list\n const {\n data: targetsData,\n isLoading: isLoadingTargets,\n isFetching: isFetchingTargets,\n error: targetsError,\n refetch\n } = useOrganizationTargets(\n parseInt(organizationId),\n {\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n search: searchQuery || undefined,\n }\n )\n\n // Reset search state when request completes\n React.useEffect(() => {\n if (!isFetchingTargets && isSearching) {\n setIsSearching(false)\n }\n }, [isFetchingTargets, isSearching])\n\n const isLoading = isLoadingOrg || isLoadingTargets\n const error = orgError || targetsError\n\n // Helper function - format date\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }\n\n // Navigation function\n const router = useRouter()\n const navigate = (path: string) => {\n router.push(path)\n }\n\n // Handle unlink target\n const handleDeleteTarget = (target: Target) => {\n setTargetToDelete(target)\n setDeleteDialogOpen(true)\n }\n\n // Confirm unlink target\n const confirmDelete = async () => {\n if (!targetToDelete) return\n\n setDeleteDialogOpen(false)\n const targetId = targetToDelete.id\n setTargetToDelete(null)\n\n // Call unlink API\n unlinkTargets.mutate({\n organizationId: parseInt(organizationId),\n targetIds: [targetId]\n })\n }\n\n // Handle bulk unlink\n const handleBulkDelete = () => {\n if (selectedTargets.length === 0) {\n return\n }\n setBulkDeleteDialogOpen(true)\n }\n\n // Confirm bulk unlink\n const confirmBulkDelete = async () => {\n if (selectedTargets.length === 0) return\n\n const targetIds = selectedTargets.map(target => target.id)\n\n setBulkDeleteDialogOpen(false)\n setSelectedTargets([])\n\n // Call bulk unlink API\n unlinkTargets.mutate({\n organizationId: parseInt(organizationId),\n targetIds\n })\n }\n\n // Handle add target\n const handleAddTarget = () => {\n setIsAddDialogOpen(true)\n }\n\n // Handle add success\n const handleAddSuccess = () => {\n setIsAddDialogOpen(false)\n refetch()\n }\n\n // Handle pagination change\n const handlePaginationChange = (newPagination: { pageIndex: number; pageSize: number }) => {\n setPagination(newPagination)\n setSelectedTargets([])\n }\n\n // Create column definitions\n const targetColumns = useMemo(\n () =>\n createTargetColumns({\n formatDate,\n navigate,\n handleDelete: handleDeleteTarget,\n t: translations,\n }),\n [formatDate, navigate, handleDeleteTarget, translations]\n )\n\n // Error state\n if (error) {\n return (\n
\n
\n \n
\n

{tCommon(\"status.loadFailed\")}

\n

\n {error.message || tCommon(\"status.loadError\")}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tCommon(\"actions.reload\")}\n \n
\n )\n }\n\n // Loading state\n if (isLoading) {\n return (\n
\n {/* Page header skeleton */}\n
\n
\n \n \n
\n \n
\n\n {/* Table skeleton */}\n \n
\n )\n }\n\n if (!organization) {\n return (\n
\n \n

{tOrg(\"notFound\")}

\n

{tOrg(\"notFoundDesc\", { id: organizationId })}

\n
\n )\n }\n\n // Calculate statistics\n const stats = {\n totalTargets: targetsData?.total || 0,\n }\n\n return (\n <>\n {/* Page header - simplified version */}\n
\n
\n
\n

\n \n {organization.name}\n

\n

\n {organization.description || tOrg(\"noDescription\")}\n

\n
\n {tOrg(\"createdAt\", { date: formatDate(organization.createdAt) })}\n ·\n {tOrg(\"targetCountLabel\", { count: stats.totalTargets })}\n
\n
\n
\n
\n\n {/* Target list */}\n
\n \n
\n\n {/* Add target dialog */}\n \n\n {/* Unlink confirmation dialog */}\n \n \n \n {tConfirm(\"unlinkTitle\")}\n \n {tConfirm(\"unlinkTargetMessage\", { name: targetToDelete?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {tConfirm(\"confirmUnlink\")}\n \n \n \n \n\n {/* Bulk unlink confirmation dialog */}\n \n \n \n {tConfirm(\"bulkUnlinkTitle\")}\n \n {tConfirm(\"bulkUnlinkTargetMessage\", { count: selectedTargets.length })}\n \n \n
\n
    \n {selectedTargets.map((target) => (\n
  • \n {target.name}\n {target.description && (\n - {target.description}\n )}\n
    • \n ))}\n
\n
\n \n {tCommon(\"actions.cancel\")}\n \n {tConfirm(\"confirmUnlinkCount\", { count: selectedTargets.length })}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/organization/organization-list.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo, useCallback, useEffect } from \"react\"\nimport { useRouter } from \"next/navigation\"\nimport { Trash2, Plus, Building2 } from \"lucide-react\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { getDateLocale } from \"@/lib/date-utils\"\n\n// 导入 UI 组件\nimport { Button } from \"@/components/ui/button\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\n\n// 导入数据表格组件\nimport { OrganizationDataTable } from \"./organization-data-table\"\nimport { createOrganizationColumns } from \"./organization-columns\"\n\n// 导入业务组件\nimport { AddOrganizationDialog } from \"./add-organization-dialog\"\nimport { EditOrganizationDialog } from \"./edit-organization-dialog\"\nimport { InitiateScanDialog } from \"@/components/scan/initiate-scan-dialog\"\nimport { CreateScheduledScanDialog } from \"@/components/scan/scheduled/create-scheduled-scan-dialog\"\n\n// 导入 React Query Hooks\nimport {\n useOrganizations,\n useDeleteOrganization,\n useBatchDeleteOrganizations,\n useUpdateOrganization,\n} from \"@/hooks/use-organizations\"\n\n// 导入类型定义\nimport type { Organization } from \"@/types/organization.types\"\n\n/**\n * 组织列表组件（使用 React Query）\n * \n * 功能特性：\n * 1. 统一的 Loading 状态管理\n * 2. 自动缓存和重新验证\n * 3. 乐观更新\n * 4. 自动错误处理\n * 5. 更好的用户体验\n */\nexport function OrganizationList() {\n // 国际化\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tTooltips = useTranslations(\"tooltips\")\n const tConfirm = useTranslations(\"common.confirm\")\n const locale = useLocale()\n \n // 构建翻译对象\n const translations = useMemo(() => ({\n columns: {\n organization: tColumns(\"organization.organization\"),\n description: tColumns(\"common.description\"),\n totalTargets: tColumns(\"organization.totalTargets\"),\n added: tColumns(\"organization.added\"),\n },\n actions: {\n scheduleScan: tTooltips(\"scheduleScan\"),\n editOrganization: tCommon(\"actions.edit\"),\n delete: tCommon(\"actions.delete\"),\n openMenu: tCommon(\"actions.openMenu\"),\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n tooltips: {\n targetSummary: tTooltips(\"targetSummary\"),\n initiateScan: tTooltips(\"initiateScan\"),\n },\n }), [tColumns, tCommon, tTooltips])\n\n // 状态管理\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [editDialogOpen, setEditDialogOpen] = useState(false)\n const [addDialogOpen, setAddDialogOpen] = useState(false)\n const [initiateScanDialogOpen, setInitiateScanDialogOpen] = useState(false)\n const [scheduleScanDialogOpen, setScheduleScanDialogOpen] = useState(false)\n const [organizationToDelete, setOrganizationToDelete] = useState(null)\n const [organizationToEdit, setOrganizationToEdit] = useState(null)\n const [organizationToScan, setOrganizationToScan] = useState(null)\n const [organizationToSchedule, setOrganizationToSchedule] = useState(null)\n const [selectedOrganizations, setSelectedOrganizations] = useState([])\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = useState(false)\n \n // 分页状态\n const [pagination, setPagination] = useState({\n pageIndex: 0, // 0-based for react-table\n pageSize: 10,\n })\n\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n\n const handleSearchChange = (value: string) => {\n setIsSearching(true)\n setSearchQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n\n // 使用 React Query 获取组织数据\n const {\n data,\n isLoading,\n isFetching,\n error,\n refetch\n } = useOrganizations({\n page: pagination.pageIndex + 1, // 转换为 1-based\n pageSize: pagination.pageSize,\n search: searchQuery || undefined,\n }, { enabled: true })\n\n useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n\n // Mutations\n const deleteOrganization = useDeleteOrganization()\n const batchDeleteOrganizations = useBatchDeleteOrganizations()\n const updateOrganization = useUpdateOrganization()\n\n // 辅助函数 - 格式化日期\n const formatDate = useCallback((dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\", \n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }, [locale])\n\n // 处理删除操作\n const handleDelete = useCallback((org: Organization) => {\n setOrganizationToDelete(org)\n setDeleteDialogOpen(true)\n }, [])\n\n // 处理编辑操作\n const handleEdit = useCallback((org: Organization) => {\n setOrganizationToEdit(org)\n setEditDialogOpen(true)\n }, [])\n\n // 处理发起扫描操作\n const handleInitiateScan = useCallback((org: Organization) => {\n setOrganizationToScan(org)\n setInitiateScanDialogOpen(true)\n }, [])\n\n // 处理计划扫描操作\n const handleScheduleScan = useCallback((org: Organization) => {\n setOrganizationToSchedule(org)\n setScheduleScanDialogOpen(true)\n }, [])\n\n // 导航到详情页面（使用 Next.js 客户端路由）\n const router = useRouter()\n const navigate = useCallback((path: string) => {\n router.push(path)\n }, [router])\n\n // 创建列定义\n const columns = useMemo(() =>\n createOrganizationColumns({ \n formatDate, \n navigate, \n handleEdit, \n handleDelete,\n handleInitiateScan,\n handleScheduleScan,\n t: translations,\n }),\n [formatDate, navigate, handleEdit, handleDelete, handleInitiateScan, handleScheduleScan, translations]\n )\n\n // 确认删除组织\n const confirmDelete = async () => {\n if (!organizationToDelete) return\n\n setDeleteDialogOpen(false)\n setOrganizationToDelete(null)\n \n // 使用 React Query 的删除 mutation（自动乐观更新）\n deleteOrganization.mutate(Number(organizationToDelete.id))\n }\n\n // 编辑组织成功回调\n const handleOrganizationEdited = (updatedOrganization: Organization) => {\n // 只需要关闭对话框，React Query 已经在 dialog 中处理了更新\n setEditDialogOpen(false)\n setOrganizationToEdit(null)\n }\n\n // 批量删除处理函数\n const handleBulkDelete = () => {\n if (selectedOrganizations.length === 0) {\n return\n }\n setBulkDeleteDialogOpen(true)\n }\n\n // 确认批量删除\n const confirmBulkDelete = async () => {\n if (selectedOrganizations.length === 0) return\n\n const deletedIds = selectedOrganizations.map(org => Number(org.id))\n \n setBulkDeleteDialogOpen(false)\n setSelectedOrganizations([])\n \n // 使用 React Query 的批量删除 mutation（自动乐观更新）\n batchDeleteOrganizations.mutate(deletedIds)\n }\n\n // 处理分页变化\n const handlePaginationChange = (newPagination: { pageIndex: number; pageSize: number }) => {\n setPagination(newPagination)\n }\n\n // 错误状态\n if (error) {\n return (\n
\n
\n \n
\n

{tCommon(\"status.error\")}

\n

\n {error.message}\n

\n \n
\n )\n }\n\n // 加载状态\n if (isLoading) {\n return \n }\n\n // 数据为空检查\n if (!data) {\n return \n }\n\n return (\n
\n {/* 主要内容 */}\n setAddDialogOpen(true)}\n onBulkDelete={handleBulkDelete}\n onSelectionChange={setSelectedOrganizations}\n searchPlaceholder={tColumns(\"organization.organization\")}\n searchColumn=\"name\"\n searchValue={searchQuery}\n onSearch={handleSearchChange}\n isSearching={isSearching}\n pagination={pagination}\n setPagination={setPagination}\n paginationInfo={data.pagination}\n onPaginationChange={handlePaginationChange}\n />\n\n {/* 删除确认对话框 */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteOrgMessage\", { name: organizationToDelete?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {deleteOrganization.isPending ? (\n <>\n \n {tConfirm(\"deleting\")}\n \n ) : (\n tCommon(\"actions.delete\")\n )}\n \n \n \n \n\n {/* 编辑组织对话框 */}\n {organizationToEdit && (\n \n )}\n\n {/* 批量删除确认对话框 */}\n \n \n \n {tConfirm(\"bulkDeleteTitle\")}\n \n {tConfirm(\"bulkDeleteOrgMessage\", { count: selectedOrganizations.length })}\n \n \n {/* 组织列表容器 - 固定最大高度并支持滚动 */}\n
\n
    \n {selectedOrganizations.map((org) => (\n
  • \n {org.name}\n {org.description && (\n - {org.description}\n )}\n
    • \n ))}\n
\n
\n \n {tCommon(\"actions.cancel\")}\n \n {batchDeleteOrganizations.isPending ? (\n <>\n \n {tConfirm(\"deleting\")}\n \n ) : (\n tConfirm(\"deleteOrgCount\", { count: selectedOrganizations.length })\n )}\n \n \n \n \n\n {/* 添加组织对话框 */}\n {\n // React Query 会自动刷新数据，不需要手动处理\n setAddDialogOpen(false)\n }} \n />\n\n {/* 发起扫描对话框 */}\n {\n setOrganizationToScan(null)\n }}\n />\n\n {/* 定时扫描对话框 */}\n {\n setOrganizationToSchedule(null)\n }}\n />\n
\n )\n}\n\nfunction OrganizationListSkeleton() {\n return (\n \n )\n}\n" }, { "path": "frontend/components/organization/targets/add-target-dialog.tsx", "content": "\"use client\"\n\nexport { LinkTargetDialog as AddTargetDialog } from \"./link-target-dialog\"\n\n" }, { "path": "frontend/components/organization/targets/index.ts", "content": "/**\n * Organization Targets Components - 统一导出\n */\nexport { TargetsDataTable } from './targets-data-table'\nexport { createTargetColumns } from './targets-columns'\nexport { TargetsDetailView } from './targets-detail-view'\nexport { AddTargetDialog } from './add-target-dialog'\nexport { LinkTargetDialog } from './link-target-dialog'\n\n" }, { "path": "frontend/components/organization/targets/link-target-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState, useRef, useMemo } from \"react\"\nimport { Plus, Target, Building2, Loader2 } from \"lucide-react\"\nimport { useForm } from \"react-hook-form\"\nimport { zodResolver } from \"@hookform/resolvers/zod\"\nimport * as z from \"zod\"\nimport { useTranslations } from \"next-intl\"\n\n// 导入 UI 组件\nimport { Button } from \"@/components/ui/button\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n DialogTrigger,\n} from \"@/components/ui/dialog\"\nimport { Label } from \"@/components/ui/label\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { TargetValidator } from \"@/lib/target-validator\"\nimport {\n Form,\n FormControl,\n FormDescription,\n FormField,\n FormItem,\n FormLabel,\n FormMessage,\n} from \"@/components/ui/form\"\n\n// 导入 React Query Hooks\nimport { useBatchCreateTargets } from \"@/hooks/use-targets\"\n\n// 导入类型定义\nimport type { BatchCreateResponse } from \"@/types/api-response.types\"\n\n// 组件属性类型定义\ninterface LinkTargetDialogProps {\n organizationId: number // 组织ID（固定，不可修改）\n organizationName: string // 组织名称\n onAdd?: (result: BatchCreateResponse) => void // 添加成功回调，返回批量创建的统计信息\n open?: boolean // 外部控制对话框开关状态\n onOpenChange?: (open: boolean) => void // 外部控制对话框开关回调\n}\n\n/**\n * 关联目标对话框组件（使用 React Query）\n * \n * 功能特性：\n * 1. 批量输入目标并关联到组织\n * 2. 自动创建不存在的目标\n * 3. 自动管理提交状态\n * 4. 自动错误处理和成功提示\n * 5. 固定组织ID，不可修改\n */\nexport function LinkTargetDialog({ \n organizationId,\n organizationName,\n onAdd,\n open: externalOpen, \n onOpenChange: externalOnOpenChange,\n}: LinkTargetDialogProps) {\n const t = useTranslations(\"organization.linkTarget\")\n const tCommon = useTranslations(\"common\")\n const tTarget = useTranslations(\"target\")\n\n // 表单验证 Schema - 使用翻译\n const formSchema = useMemo(() => z.object({\n targets: z.string()\n .min(1, { message: t(\"validation.required\") })\n .refine(\n (val) => {\n const lines = val.split('\\n').map(l => l.trim()).filter(l => l.length > 0)\n return lines.length > 0\n },\n { message: t(\"validation.required\") }\n ),\n }), [t])\n\n // 对话框开关状态 - 支持外部控制\n const [internalOpen, setInternalOpen] = useState(false)\n const open = externalOpen !== undefined ? externalOpen : internalOpen\n const setOpen = externalOnOpenChange || setInternalOpen\n \n // 行号列和输入框的 ref（用于同步滚动）\n const lineNumbersRef = useRef(null)\n const textareaRef = useRef(null)\n \n // 使用 React Query 的批量创建目标 mutation\n const batchCreateTargets = useBatchCreateTargets()\n \n type FormValues = z.infer\n \n // 初始化表单\n const form = useForm({\n resolver: zodResolver(formSchema),\n defaultValues: {\n targets: \"\",\n },\n })\n \n // 监听表单值变化\n const targetsText = form.watch(\"targets\")\n\n // 实时验证目标\n const targetValidation = useMemo(() => {\n const lines = targetsText\n .split(\"\\n\")\n .map((s) => s.trim())\n .filter((s) => s.length > 0)\n\n if (lines.length === 0) {\n return {\n count: 0,\n invalid: []\n }\n }\n\n const results = TargetValidator.validateTargetBatch(lines)\n const invalid = results\n .filter((r) => !r.isValid)\n .map((r) => ({ index: r.index, originalTarget: r.originalTarget, error: r.error || t(\"validation.invalidFormat\"), type: r.type }))\n \n return {\n count: lines.length,\n invalid\n }\n }, [targetsText])\n\n\n // 处理表单提交\n const onSubmit = (values: FormValues) => {\n // 检查是否有无效目标\n if (targetValidation.invalid.length > 0) {\n return\n }\n\n // 解析目标列表（每行一个目标）\n const targetList = values.targets\n .split(\"\\n\")\n .map(line => line.trim())\n .filter(line => line.length > 0)\n .map(name => ({\n name,\n }))\n\n if (targetList.length === 0) {\n return\n }\n\n // 使用 React Query mutation\n batchCreateTargets.mutate(\n {\n targets: targetList,\n organizationId: organizationId,\n },\n {\n onSuccess: (batchCreateResult) => {\n // 重置表单\n form.reset()\n \n // 关闭对话框\n setOpen(false)\n \n // 调用外部回调（如果提供）\n if (onAdd) {\n // 将批量创建结果适配为通用的 BatchCreateResponse 结构\n const adaptedResult: BatchCreateResponse = {\n message: batchCreateResult.message,\n requestedCount:\n batchCreateResult.createdCount +\n batchCreateResult.reusedCount +\n batchCreateResult.failedCount,\n createdCount: batchCreateResult.createdCount,\n existedCount: batchCreateResult.reusedCount,\n skippedCount: 0,\n skippedDomains: batchCreateResult.failedTargets.map((item) => ({\n name: item.name,\n reason: item.reason,\n })),\n }\n\n onAdd(adaptedResult)\n }\n }\n }\n )\n }\n\n // 处理对话框关闭\n const handleOpenChange = (newOpen: boolean) => {\n if (!batchCreateTargets.isPending) {\n setOpen(newOpen)\n if (!newOpen) {\n // 关闭时重置表单\n form.reset()\n }\n }\n }\n\n // 表单验证\n const isFormValid = form.formState.isValid && targetValidation.invalid.length === 0\n \n // 同步输入框和行号列的滚动\n const handleTextareaScroll = (e: React.UIEvent) => {\n if (lineNumbersRef.current) {\n lineNumbersRef.current.scrollTop = e.currentTarget.scrollTop\n }\n }\n\n return (\n \n {/* 触发按钮 - 仅在非外部控制时显示 */}\n {externalOpen === undefined && (\n \n \n \n )}\n \n {/* 对话框内容 */}\n \n \n \n \n {t(\"title\")}\n \n \n {t(\"description\", { name: organizationName })}\n \n \n \n {/* 表单 */}\n
\n \n
\n {/* 目标输入框 - 支持多行，带行号 */}\n (\n \n \n {t(\"targetLabel\")} *\n \n \n
\n
\n {/* 行号列 - 固定显示15行 */}\n
\n
\n {Array.from({ length: Math.max(field.value.split('\\n').length, 15) }, (_, i) => (\n
\n {i + 1}\n
\n ))}\n
\n
\n {/* 输入框 - 固定高度显示15行 */}\n {\n field.ref(e)\n textareaRef.current = e\n }}\n onScroll={handleTextareaScroll}\n placeholder={t(\"placeholder\")}\n disabled={batchCreateTargets.isPending}\n className=\"font-mono h-full overflow-y-auto resize-none border-0 focus-visible:ring-0 focus-visible:ring-offset-0 leading-[1.4] text-sm py-3\"\n style={{ lineHeight: '20px' }}\n />\n
\n
\n \n \n {t(\"targetCount\", { count: targetValidation.count })}\n {targetValidation.invalid.length > 0 && (\n \n | {t(\"invalidCount\", { count: targetValidation.invalid.length })}\n \n )}\n \n {targetValidation.invalid.length > 0 && (\n
\n {t(\"invalidExample\", { line: targetValidation.invalid[0].index + 1, target: targetValidation.invalid[0].originalTarget, error: targetValidation.invalid[0].error })}\n
\n )}\n \n \n )}\n />\n\n {/* 所属组织（只读显示） */}\n
\n \n
\n \n {organizationName}\n
\n
\n
\n \n {/* 对话框底部按钮 */}\n \n \n \n \n
\n \n \n \n )\n}\n\n" }, { "path": "frontend/components/organization/targets/targets-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Button } from \"@/components/ui/button\"\nimport { Badge } from \"@/components/ui/badge\"\nimport {\n Tooltip,\n TooltipContent,\n TooltipProvider,\n TooltipTrigger,\n} from \"@/components/ui/tooltip\"\nimport { Eye, Trash2, Copy, Check } from \"lucide-react\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport type { Target } from \"@/types/target.types\"\nimport { toast } from \"sonner\"\n\n// 翻译类型定义\nexport interface OrgTargetsTranslations {\n columns: {\n targetName: string\n type: string\n }\n actions: {\n selectAll: string\n selectRow: string\n }\n tooltips: {\n viewDetails: string\n unlinkTarget: string\n clickToCopy: string\n copied: string\n }\n types: {\n domain: string\n ip: string\n cidr: string\n }\n}\n\ninterface CreateColumnsProps {\n formatDate: (dateString: string) => string\n navigate: (path: string) => void\n handleDelete: (target: Target) => void\n t: OrgTargetsTranslations\n}\n\n/**\n * 目标行操作组件\n */\nfunction TargetRowActions({\n target,\n onView,\n onDelete,\n t,\n}: {\n target: Target\n onView: () => void\n onDelete: () => void\n t: OrgTargetsTranslations\n}) {\n return (\n
\n \n \n \n \n \n \n \n \n

{t.tooltips.viewDetails}

\n \n \n \n\n \n \n \n \n \n \n \n \n

{t.tooltips.unlinkTarget}

\n \n \n \n
\n )\n}\n\n/**\n * 目标名称单元格组件\n */\nfunction TargetNameCell({ \n name, \n targetId, \n navigate,\n t,\n}: { \n name: string\n targetId: number\n navigate: (path: string) => void\n t: OrgTargetsTranslations\n}) {\n const [copied, setCopied] = React.useState(false)\n \n const handleCopy = async (e: React.MouseEvent) => {\n e.stopPropagation()\n try {\n await navigator.clipboard.writeText(name)\n setCopied(true)\n toast.success(t.tooltips.copied)\n setTimeout(() => setCopied(false), 2000)\n } catch {\n // Fallback\n }\n }\n \n return (\n
\n navigate(`/target/${targetId}/overview/`)}\n className=\"text-sm font-medium hover:text-primary hover:underline underline-offset-2 transition-colors cursor-pointer text-left break-all leading-relaxed whitespace-normal\"\n >\n {name}\n \n \n \n \n \n {copied ? (\n \n ) : (\n \n )}\n \n \n \n

{copied ? t.tooltips.copied : t.tooltips.clickToCopy}

\n \n \n \n
\n )\n}\n\n/**\n * 创建目标表格列定义\n */\nexport const createTargetColumns = ({\n formatDate,\n navigate,\n handleDelete,\n t,\n}: CreateColumnsProps): ColumnDef[] => [\n {\n id: \"select\",\n size: 40,\n minSize: 40,\n maxSize: 40,\n enableResizing: false,\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label={t.actions.selectAll}\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label={t.actions.selectRow}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n {\n accessorKey: \"name\",\n size: 350,\n minSize: 250,\n meta: { title: t.columns.targetName },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => (\n \n ),\n },\n {\n accessorKey: \"type\",\n size: 100,\n minSize: 80,\n meta: { title: t.columns.type },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const type = row.getValue(\"type\") as string | null\n if (!type) {\n return -\n }\n const typeMap: Record = {\n domain: { label: t.types.domain, variant: \"default\" },\n ip: { label: t.types.ip, variant: \"secondary\" },\n cidr: { label: t.types.cidr, variant: \"outline\" },\n }\n const typeInfo = typeMap[type] || { label: type, variant: \"secondary\" as const }\n return (\n \n {typeInfo.label}\n \n )\n },\n },\n {\n id: \"actions\",\n size: 80,\n minSize: 80,\n maxSize: 80,\n enableResizing: false,\n cell: ({ row }) => (\n navigate(`/target/${row.original.id}/overview/`)}\n onDelete={() => handleDelete(row.original)}\n t={t}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n]\n" }, { "path": "frontend/components/organization/targets/targets-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { IconSearch, IconLoader2, IconPlus } from \"@tabler/icons-react\"\nimport { useTranslations } from \"next-intl\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport type { Target } from \"@/types/target.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\n\ninterface TargetsDataTableProps {\n data: Target[]\n columns: ColumnDef[]\n onAddNew?: () => void\n onAddHover?: () => void\n onBulkDelete?: () => void\n onSelectionChange?: (selectedRows: Target[]) => void\n searchPlaceholder?: string\n searchValue?: string\n onSearch?: (value: string) => void\n isSearching?: boolean\n addButtonText?: string\n pagination?: { pageIndex: number; pageSize: number }\n setPagination?: React.Dispatch>\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n}\n\n/**\n * 目标数据表格组件 (organization 版本)\n * 使用 UnifiedDataTable 统一组件\n */\nexport function TargetsDataTable({\n data = [],\n columns,\n onAddNew,\n onAddHover,\n onBulkDelete,\n onSelectionChange,\n searchPlaceholder,\n searchValue,\n onSearch,\n isSearching = false,\n addButtonText,\n pagination: externalPagination,\n setPagination: setExternalPagination,\n paginationInfo,\n onPaginationChange,\n}: TargetsDataTableProps) {\n const t = useTranslations(\"common.status\")\n const tTarget = useTranslations(\"target\")\n \n // 本地搜索输入状态\n const [localSearchValue, setLocalSearchValue] = React.useState(searchValue || \"\")\n\n React.useEffect(() => {\n setLocalSearchValue(searchValue || \"\")\n }, [searchValue])\n\n const handleSearchSubmit = () => {\n if (onSearch) {\n onSearch(localSearchValue)\n }\n }\n\n const handleKeyDown = (e: React.KeyboardEvent) => {\n if (e.key === \"Enter\") {\n handleSearchSubmit()\n }\n }\n\n // 自定义添加按钮（支持 onAddHover）\n const addButton = onAddNew ? (\n \n ) : undefined\n\n return (\n String(row.id)}\n // 分页\n pagination={externalPagination}\n setPagination={setExternalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n // 选择\n onSelectionChange={onSelectionChange}\n // 批量操作\n showBulkDelete={false}\n showAddButton={false}\n // 空状态\n emptyMessage={t(\"noData\")}\n // 自定义工具栏\n toolbarLeft={\n
\n setLocalSearchValue(e.target.value)}\n onKeyDown={handleKeyDown}\n className=\"h-8 max-w-sm\"\n />\n \n
\n }\n toolbarRight={addButton}\n />\n )\n}\n" }, { "path": "frontend/components/organization/targets/targets-detail-view.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { AlertTriangle } from \"lucide-react\"\nimport { useRouter } from \"next/navigation\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { toast } from \"sonner\"\nimport { TargetsDataTable } from \"./targets-data-table\"\nimport { createTargetColumns } from \"./targets-columns\"\nimport { AddTargetDialog } from \"./add-target-dialog\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { useOrganization, useUnlinkTargetsFromOrganization } from \"@/hooks/use-organizations\"\nimport { useTargets } from \"@/hooks/use-targets\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { Target } from \"@/types/target.types\"\n\n/**\n * 组织目标详情视图组件（使用 React Query）\n * 用于显示和管理组织下的目标列表\n * 支持通过组织ID获取数据\n */\nexport function OrganizationTargetsDetailView({\n organizationId\n}: {\n organizationId: string\n}) {\n const [selectedTargets, setSelectedTargets] = useState([])\n const [isAddDialogOpen, setIsAddDialogOpen] = useState(false)\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [targetToDelete, setTargetToDelete] = useState(null)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = useState(false)\n\n // 国际化\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tTooltips = useTranslations(\"tooltips\")\n const tTarget = useTranslations(\"target\")\n const tConfirm = useTranslations(\"common.confirm\")\n const tOrg = useTranslations(\"organization\")\n const locale = useLocale()\n\n // 构建翻译对象\n const translations = useMemo(() => ({\n columns: {\n targetName: tColumns(\"target.target\"),\n type: tColumns(\"common.type\"),\n },\n actions: {\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n tooltips: {\n viewDetails: tTooltips(\"viewDetails\"),\n unlinkTarget: tTooltips(\"unlinkTarget\"),\n clickToCopy: tTooltips(\"clickToCopy\"),\n copied: tTooltips(\"copied\"),\n },\n types: {\n domain: tTarget(\"types.domain\"),\n ip: tTarget(\"types.ip\"),\n cidr: tTarget(\"types.cidr\"),\n },\n }), [tColumns, tCommon, tTooltips, tTarget])\n\n // 使用解除关联 mutation\n const unlinkTargets = useUnlinkTargetsFromOrganization()\n\n // 分页状态\n const [pagination, setPagination] = useState({\n pageIndex: 0,\n pageSize: 10,\n })\n\n // 使用 React Query 获取组织基本信息\n const {\n data: organization,\n isLoading: isLoadingOrg,\n error: orgError,\n } = useOrganization(parseInt(organizationId))\n\n // 使用 React Query 获取目标列表（过滤组织）\n const {\n data: targetsData,\n isLoading: isLoadingTargets,\n error: targetsError,\n refetch\n } = useTargets({\n page: pagination.pageIndex + 1,\n pageSize: pagination.pageSize,\n organizationId: parseInt(organizationId),\n })\n\n const isLoading = isLoadingOrg || isLoadingTargets\n const error = orgError || targetsError\n\n // 辅助函数 - 格式化日期\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }\n\n // 导航函数（使用 Next.js 客户端路由）\n const router = useRouter()\n const navigate = (path: string) => {\n router.push(path)\n }\n\n // 处理解除关联目标\n const handleDeleteTarget = (target: Target) => {\n setTargetToDelete(target)\n setDeleteDialogOpen(true)\n }\n\n // 确认解除关联目标\n const confirmDelete = async () => {\n if (!targetToDelete) return\n\n setDeleteDialogOpen(false)\n const targetId = targetToDelete.id\n setTargetToDelete(null)\n\n // 调用解除关联 API\n unlinkTargets.mutate({\n organizationId: parseInt(organizationId),\n targetIds: [targetId]\n })\n }\n\n // 处理批量解除关联\n const handleBulkDelete = () => {\n if (selectedTargets.length === 0) {\n return\n }\n setBulkDeleteDialogOpen(true)\n }\n\n // 确认批量解除关联\n const confirmBulkDelete = async () => {\n if (selectedTargets.length === 0) return\n\n const targetIds = selectedTargets.map(target => target.id)\n\n setBulkDeleteDialogOpen(false)\n setSelectedTargets([])\n\n // 调用批量解除关联 API\n unlinkTargets.mutate({\n organizationId: parseInt(organizationId),\n targetIds\n })\n }\n\n // 处理添加目标\n const handleAddTarget = () => {\n setIsAddDialogOpen(true)\n }\n\n // 处理添加成功\n const handleAddSuccess = () => {\n setIsAddDialogOpen(false)\n // 刷新目标列表\n refetch()\n }\n\n // 处理分页变化\n const handlePaginationChange = (newPagination: { pageIndex: number; pageSize: number }) => {\n setPagination(newPagination)\n // 清空选中状态\n setSelectedTargets([])\n }\n\n // 创建列定义\n const targetColumns = useMemo(\n () =>\n createTargetColumns({\n formatDate,\n navigate,\n handleDelete: handleDeleteTarget,\n t: translations,\n }),\n [formatDate, navigate, handleDeleteTarget, translations]\n )\n\n // 错误状态\n if (error) {\n return (\n
\n
\n \n
\n

{tCommon(\"status.error\")}

\n

\n {error.message}\n

\n refetch()}\n className=\"px-4 py-2 bg-primary text-primary-foreground rounded-md hover:bg-primary/90\"\n >\n {tCommon(\"actions.retry\")}\n \n
\n )\n }\n\n // 加载状态\n if (isLoading) {\n return (\n \n )\n }\n\n if (!organization) {\n return (\n
\n

{tOrg(\"notFound\")}

\n
\n )\n }\n\n return (\n <>\n \n\n {/* 添加目标对话框 */}\n \n\n {/* 解除关联确认对话框 */}\n \n \n \n {tConfirm(\"unlinkTitle\")}\n \n {tConfirm(\"unlinkTargetMessage\", { name: targetToDelete?.name ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {tConfirm(\"confirmUnlink\")}\n \n \n \n \n\n {/* 批量解除关联确认对话框 */}\n \n \n \n {tConfirm(\"bulkUnlinkTitle\")}\n \n {tConfirm(\"bulkUnlinkTargetMessage\", { count: selectedTargets.length })}\n \n \n {/* 目标列表容器 - 固定最大高度并支持滚动 */}\n
\n
    \n {selectedTargets.map((target) => (\n
  • \n {target.name}\n {target.description && (\n - {target.description}\n )}\n
    • \n ))}\n
\n
\n \n {tCommon(\"actions.cancel\")}\n \n {tConfirm(\"confirmUnlinkCount\", { count: selectedTargets.length })}\n \n \n \n \n \n )\n}\n\nexport { OrganizationTargetsDetailView as TargetsDetailView }\n" }, { "path": "frontend/components/providers/index.ts", "content": "/**\n * Provider Components - Unified exports\n */\nexport { ThemeProvider } from './theme-provider'\nexport { QueryProvider } from './query-provider'\n\n" }, { "path": "frontend/components/providers/query-provider.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { QueryClient, QueryClientProvider } from \"@tanstack/react-query\"\nimport { ReactQueryDevtools } from \"@tanstack/react-query-devtools\"\n\n// Create QueryClient instance\nconst queryClient = new QueryClient({\n defaultOptions: {\n queries: {\n // Data expires immediately, refetch when switching pages\n staleTime: 0,\n // Cache time (5 minutes) - keep short-term cache for quick returns\n gcTime: 5 * 60 * 1000,\n // Retry configuration\n retry: (failureCount, error: unknown) => {\n // Don't retry 4xx errors\n const err = error as { response?: { status?: number } }\n if (err?.response?.status && err.response.status >= 400 && err.response.status < 500) {\n return false\n }\n // Retry up to 3 times\n return failureCount < 3\n },\n // Retry delay (exponential backoff)\n retryDelay: (attemptIndex) => Math.min(1000 * 2 ** attemptIndex, 30000),\n // Auto refresh when window regains focus - users see latest data when switching back\n refetchOnWindowFocus: true,\n // Don't auto refresh on network reconnect - avoid excessive requests from network fluctuations\n refetchOnReconnect: false,\n },\n mutations: {\n // Mutation retry configuration\n retry: (failureCount, error: unknown) => {\n // Don't retry 4xx errors\n const err = error as { response?: { status?: number } }\n if (err?.response?.status && err.response.status >= 400 && err.response.status < 500) {\n return false\n }\n // Retry up to 2 times\n return failureCount < 2\n },\n },\n },\n})\n\ninterface QueryProviderProps {\n children: React.ReactNode\n}\n\n/**\n * React Query Provider component\n * \n * Features:\n * 1. Provides global QueryClient instance\n * 2. Configures default query and mutation options\n * 3. Enables DevTools in development environment\n */\nexport function QueryProvider({ children }: QueryProviderProps) {\n return (\n \n {children}\n {/* Only show DevTools in development environment */}\n {process.env.NODE_ENV === 'development' && (\n \n )}\n \n )\n}\n" }, { "path": "frontend/components/providers/theme-provider.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { ThemeProvider as NextThemesProvider } from \"next-themes\"\n\n/**\n * Theme provider component\n * Based on next-themes for automatic system theme switching\n * Supports light, dark, and system-follow modes\n */\nexport function ThemeProvider({\n children,\n ...props\n}: React.ComponentProps) {\n return {children}\n}\n" }, { "path": "frontend/components/providers/ui-i18n-provider.tsx", "content": "\"use client\"\n\nimport { useTranslations } from \"next-intl\"\nimport { ExpandableI18nProvider } from \"@/components/ui/data-table/expandable-cell\"\n\n/**\n * UI components i18n provider\n * Provides translations for common UI components like expandable cells\n */\nexport function UiI18nProvider({ children }: { children: React.ReactNode }) {\n const t = useTranslations(\"tooltips\")\n\n return (\n \n {children}\n \n )\n}\n" }, { "path": "frontend/components/route-prefetch.tsx", "content": "'use client'\n\nimport { useRoutePrefetch } from '@/hooks/use-route-prefetch'\n\n/**\n * Route prefetch component\n * Automatically prefetches JS/CSS resources for commonly used pages after app startup\n * This is an invisible component, only used to execute prefetch logic\n */\nexport function RoutePrefetch() {\n useRoutePrefetch()\n return null\n}\n" }, { "path": "frontend/components/route-progress.tsx", "content": "\"use client\"\n\nimport { useEffect, useState, useCallback, useRef } from \"react\"\nimport { usePathname, useSearchParams } from \"next/navigation\"\nimport { cn } from \"@/lib/utils\"\n\n/**\n * Route loading progress bar component\n * \n * Monitors Next.js App Router route changes and displays top progress bar animation\n */\nexport function RouteProgress() {\n const pathname = usePathname()\n const searchParams = useSearchParams()\n const [progress, setProgress] = useState(0)\n const [isVisible, setIsVisible] = useState(false)\n const isFirstRender = useRef(true)\n\n const intervalRef = useRef(null)\n\n const startProgress = useCallback(() => {\n setIsVisible(true)\n setProgress(0)\n \n // Use interval for smooth increment\n let currentProgress = 0\n intervalRef.current = setInterval(() => {\n currentProgress += Math.random() * 10 + 5 // Increase by 5-15% each time\n if (currentProgress >= 90) {\n currentProgress = 90 // Max 90%, wait for completion\n if (intervalRef.current) {\n clearInterval(intervalRef.current)\n intervalRef.current = null\n }\n }\n setProgress(currentProgress)\n }, 100)\n }, [])\n\n const completeProgress = useCallback(() => {\n // Clear ongoing interval\n if (intervalRef.current) {\n clearInterval(intervalRef.current)\n intervalRef.current = null\n }\n \n setProgress(100)\n // Show 100% briefly after completion, then hide\n setTimeout(() => {\n setIsVisible(false)\n setProgress(0)\n }, 300)\n }, [])\n\n useEffect(() => {\n // Skip first render\n if (isFirstRender.current) {\n isFirstRender.current = false\n return\n }\n\n // Trigger progress bar on route change\n startProgress()\n \n // End progress bar after page load completes\n const timer = setTimeout(() => completeProgress(), 300)\n \n return () => {\n clearTimeout(timer)\n if (intervalRef.current) {\n clearInterval(intervalRef.current)\n intervalRef.current = null\n }\n }\n }, [pathname, searchParams, startProgress, completeProgress])\n\n if (!isVisible) return null\n\n return (\n \n {/* Progress bar background */}\n
\n \n {/* Progress bar */}\n \n \n {/* Glow effect */}\n \n
\n )\n}\n" }, { "path": "frontend/components/scan/engine/engine-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Button } from \"@/components/ui/button\"\nimport { Tooltip, TooltipContent, TooltipTrigger } from \"@/components/ui/tooltip\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n MoreHorizontal,\n Trash2,\n Check,\n Edit,\n X as XIcon,\n} from \"lucide-react\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport * as yaml from \"js-yaml\"\nimport type { ScanEngine } from \"@/types/engine.types\"\n\n// Translation type definitions\nexport interface EngineTranslations {\n columns: {\n engineName: string\n subdomainDiscovery: string\n portScan: string\n siteScan: string\n directoryScan: string\n urlFetch: string\n osint: string\n vulnerabilityScan: string\n wafDetection: string\n screenshot: string\n }\n actions: {\n editEngine: string\n delete: string\n openMenu: string\n }\n tooltips: {\n editEngine: string\n }\n}\n\n/**\n * Parse engine YAML configuration and detect if features are enabled\n */\nfunction parseEngineFeatures(engine: ScanEngine) {\n if (engine.configuration) {\n try {\n const config = yaml.load(engine.configuration) as any\n return {\n subdomain_discovery: !!config?.subdomain_discovery,\n port_scan: !!config?.port_scan,\n site_scan: !!config?.site_scan,\n directory_scan: !!config?.directory_scan,\n url_fetch: !!config?.url_fetch || !!config?.fetch_url,\n osint: !!config?.osint,\n vulnerability_scan: !!config?.vulnerability_scan,\n waf_detection: !!config?.waf_detection,\n screenshot: !!config?.screenshot,\n }\n } catch (error) {\n console.error(\"Failed to parse YAML configuration:\", error)\n }\n }\n \n return {\n subdomain_discovery: false,\n port_scan: false,\n site_scan: false,\n directory_scan: false,\n url_fetch: false,\n osint: false,\n vulnerability_scan: false,\n waf_detection: false,\n screenshot: false,\n }\n}\n\n/**\n * Feature support status component\n */\nfunction FeatureStatus({ enabled }: { enabled?: boolean }) {\n if (enabled) {\n return (\n
\n \n
\n )\n }\n return (\n
\n \n
\n )\n}\n\ninterface CreateColumnsProps {\n handleEdit: (engine: ScanEngine) => void\n handleDelete: (engine: ScanEngine) => void\n t: EngineTranslations\n}\n\n/**\n * Engine row actions component\n */\nfunction EngineRowActions({\n onEdit,\n onDelete,\n t,\n}: {\n onEdit: () => void\n onDelete: () => void\n t: EngineTranslations\n}) {\n return (\n \n \n \n \n {t.actions.openMenu}\n \n \n \n \n \n {t.actions.editEngine}\n \n \n \n \n {t.actions.delete}\n \n \n \n )\n}\n\n/**\n * Create engine table column definitions\n */\nexport const createEngineColumns = ({\n handleEdit,\n handleDelete,\n t,\n}: CreateColumnsProps): ColumnDef[] => [\n {\n accessorKey: \"name\",\n size: 200,\n minSize: 150,\n maxSize: 350,\n meta: { title: t.columns.engineName },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const name = row.getValue(\"name\") as string\n return (\n \n \n handleEdit(row.original)}\n className=\"max-w-[300px] truncate font-medium text-left hover:text-primary hover:underline underline-offset-2 cursor-pointer transition-colors\"\n >\n {name}\n \n \n {t.tooltips.editEngine}\n \n )\n },\n },\n {\n id: \"subdomain_discovery\",\n meta: { title: t.columns.subdomainDiscovery },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"port_scan\",\n meta: { title: t.columns.portScan },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"site_scan\",\n meta: { title: t.columns.siteScan },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"directory_scan\",\n meta: { title: t.columns.directoryScan },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"url_fetch\",\n meta: { title: t.columns.urlFetch },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"osint\",\n meta: { title: t.columns.osint },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"vulnerability_scan\",\n meta: { title: t.columns.vulnerabilityScan },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"waf_detection\",\n meta: { title: t.columns.wafDetection },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"screenshot\",\n meta: { title: t.columns.screenshot },\n header: ({ column }) => (\n \n ),\n size: 80,\n minSize: 60,\n maxSize: 100,\n enableResizing: false,\n cell: ({ row }) => {\n const features = parseEngineFeatures(row.original)\n return \n },\n enableSorting: false,\n },\n {\n id: \"actions\",\n size: 60,\n minSize: 60,\n maxSize: 60,\n enableResizing: false,\n cell: ({ row }) => (\n handleEdit(row.original)}\n onDelete={() => handleDelete(row.original)}\n t={t}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n]\n" }, { "path": "frontend/components/scan/engine/engine-create-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState } from \"react\"\nimport { FileCode, Save, X, AlertCircle, CheckCircle2 } from \"lucide-react\"\nimport Editor from \"@monaco-editor/react\"\nimport * as yaml from \"js-yaml\"\nimport { useTranslations } from \"next-intl\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Label } from \"@/components/ui/label\"\nimport { Input } from \"@/components/ui/input\"\nimport { toast } from \"sonner\"\nimport { useColorTheme } from \"@/hooks/use-color-theme\"\n\ninterface EngineCreateDialogProps {\n open: boolean\n onOpenChange: (open: boolean) => void\n onSave?: (name: string, yamlContent: string) => Promise\n}\n\n/**\n * Create new engine dialog\n */\nexport function EngineCreateDialog({\n open,\n onOpenChange,\n onSave,\n}: EngineCreateDialogProps) {\n const t = useTranslations(\"scan.engine.create\")\n const tToast = useTranslations(\"toast\")\n const tCommon = useTranslations(\"common.actions\")\n const [engineName, setEngineName] = useState(\"\")\n const [yamlContent, setYamlContent] = useState(\"\")\n const [isSubmitting, setIsSubmitting] = useState(false)\n const [isEditorReady, setIsEditorReady] = useState(false)\n const [yamlError, setYamlError] = useState<{ message: string; line?: number; column?: number } | null>(null)\n const { currentTheme } = useColorTheme()\n const editorRef = React.useRef(null)\n\n // Default YAML template\n const defaultYaml = `# Please write engine configuration YAML here\n# You can refer to configuration examples in engine_config_example.yaml file`;\n\n // Reset form when dialog opens\n React.useEffect(() => {\n if (open) {\n setEngineName(\"\")\n setYamlContent(defaultYaml)\n setYamlError(null)\n }\n }, [open])\n\n // Validate YAML syntax\n const validateYaml = (content: string) => {\n if (!content.trim()) {\n setYamlError(null)\n return true\n }\n\n try {\n yaml.load(content)\n setYamlError(null)\n return true\n } catch (error) {\n const yamlError = error as yaml.YAMLException\n setYamlError({\n message: yamlError.message,\n line: yamlError.mark?.line ? yamlError.mark.line + 1 : undefined,\n column: yamlError.mark?.column ? yamlError.mark.column + 1 : undefined,\n })\n return false\n }\n }\n\n // Handle editor content change\n const handleEditorChange = (value: string | undefined) => {\n const newValue = value || \"\"\n setYamlContent(newValue)\n validateYaml(newValue)\n }\n\n // Handle editor mount\n const handleEditorDidMount = (editor: any) => {\n editorRef.current = editor\n setIsEditorReady(true)\n }\n\n // Handle save\n const handleSave = async () => {\n // Validate engine name\n if (!engineName.trim()) {\n toast.error(tToast(\"engineNameRequired\"))\n return\n }\n\n // YAML validation\n if (!yamlContent.trim()) {\n toast.error(tToast(\"configRequired\"))\n return\n }\n\n if (!validateYaml(yamlContent)) {\n toast.error(tToast(\"yamlSyntaxError\"), {\n description: yamlError?.message,\n })\n return\n }\n\n setIsSubmitting(true)\n try {\n if (onSave) {\n await onSave(engineName, yamlContent)\n } else {\n // TODO: Call actual API to create engine\n await new Promise(resolve => setTimeout(resolve, 1000))\n }\n \n toast.success(tToast(\"engineCreateSuccess\"), {\n description: tToast(\"engineCreateSuccessDesc\", { name: engineName }),\n })\n onOpenChange(false)\n } catch (error) {\n console.error(\"Failed to create engine:\", error)\n toast.error(tToast(\"engineCreateFailed\"), {\n description: error instanceof Error ? error.message : tToast(\"unknownError\"),\n })\n } finally {\n setIsSubmitting(false)\n }\n }\n\n // Handle close\n const handleClose = () => {\n if (engineName.trim() || yamlContent !== defaultYaml) {\n const confirmed = window.confirm(t(\"confirmClose\"))\n if (!confirmed) return\n }\n onOpenChange(false)\n }\n\n return (\n \n \n
\n \n \n \n {t(\"title\")}\n \n \n {t(\"desc\")}\n \n \n\n
\n
\n {/* Engine name input */}\n
\n \n setEngineName(e.target.value)}\n placeholder={t(\"engineNamePlaceholder\")}\n disabled={isSubmitting}\n className=\"max-w-md\"\n />\n
\n\n {/* YAML editor */}\n
\n
\n \n {/* Syntax validation status */}\n
\n {yamlContent.trim() && (\n yamlError ? (\n
\n \n {t(\"syntaxError\")}\n
\n ) : (\n
\n \n {t(\"syntaxValid\")}\n
\n )\n )}\n
\n
\n\n {/* Monaco Editor */}\n
\n \n
\n
\n

{t(\"loadingEditor\")}

\n
\n
\n }\n />\n
\n\n {/* Error message display */}\n {yamlError && (\n
\n \n
\n

\n {yamlError.line && yamlError.column\n ? t(\"errorLocation\", { line: yamlError.line, column: yamlError.column })\n : tToast(\"yamlSyntaxError\")}\n

\n

{yamlError.message}

\n
\n
\n )}\n
\n
\n
\n\n \n \n \n {tCommon(\"cancel\")}\n \n \n {isSubmitting ? (\n <>\n
\n {t(\"creating\")}\n \n ) : (\n <>\n \n {t(\"createEngine\")}\n \n )}\n \n \n
\n \n
\n )\n}\n\n" }, { "path": "frontend/components/scan/engine/engine-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { useTranslations } from \"next-intl\"\nimport { Input } from \"@/components/ui/input\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { ScanEngine } from \"@/types/engine.types\"\n\n// Component props type definitions\ninterface EngineDataTableProps {\n data: ScanEngine[]\n columns: ColumnDef[]\n onAddNew?: () => void\n searchPlaceholder?: string\n searchColumn?: string\n addButtonText?: string\n}\n\n/**\n * Scan engine data table component\n * Uses UnifiedDataTable unified component\n */\nexport function EngineDataTable({\n data = [],\n columns,\n onAddNew,\n searchPlaceholder,\n addButtonText,\n}: EngineDataTableProps) {\n const t = useTranslations(\"common.status\")\n const tEngine = useTranslations(\"scan.engine\")\n \n // Local search state\n const [searchValue, setSearchValue] = React.useState(\"\")\n\n // Filter data (local filtering)\n const filteredData = React.useMemo(() => {\n if (!searchValue) return data\n return data.filter((item) => {\n const name = item.name || \"\"\n return name.toLowerCase().includes(searchValue.toLowerCase())\n })\n }, [data, searchValue])\n\n return (\n String(row.id)}\n enableRowSelection={false}\n onAddNew={onAddNew}\n addButtonLabel={addButtonText || tEngine(\"createEngine\")}\n showBulkDelete={false}\n emptyMessage={t(\"noData\")}\n toolbarLeft={\n setSearchValue(e.target.value)}\n className=\"max-w-sm h-8\"\n />\n }\n />\n )\n}\n\n" }, { "path": "frontend/components/scan/engine/engine-edit-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState, useEffect, useRef } from \"react\"\nimport { FileCode, Save, X, AlertCircle, CheckCircle2, AlertTriangle } from \"lucide-react\"\nimport Editor from \"@monaco-editor/react\"\nimport * as yaml from \"js-yaml\"\nimport { useTranslations } from \"next-intl\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Label } from \"@/components/ui/label\"\nimport { toast } from \"sonner\"\nimport { useColorTheme } from \"@/hooks/use-color-theme\"\nimport type { ScanEngine } from \"@/types/engine.types\"\n\ninterface EngineEditDialogProps {\n engine: ScanEngine | null\n open: boolean\n onOpenChange: (open: boolean) => void\n onSave?: (engineId: number, yamlContent: string) => Promise\n}\n\n/**\n * Engine configuration edit dialog\n * Uses Monaco Editor to provide VSCode-level editing experience\n */\nexport function EngineEditDialog({\n engine,\n open,\n onOpenChange,\n onSave,\n}: EngineEditDialogProps) {\n const t = useTranslations(\"scan.engine.edit\")\n const tToast = useTranslations(\"toast\")\n const tCommon = useTranslations(\"common.actions\")\n const [yamlContent, setYamlContent] = useState(\"\")\n const [isSubmitting, setIsSubmitting] = useState(false)\n const [hasChanges, setHasChanges] = useState(false)\n const [isEditorReady, setIsEditorReady] = useState(false)\n const [yamlError, setYamlError] = useState<{ message: string; line?: number; column?: number } | null>(null)\n const { currentTheme } = useColorTheme()\n const editorRef = useRef(null)\n\n // Generate sample YAML configuration\n const generateSampleYaml = (engine: ScanEngine) => {\n return `# Engine name: ${engine.name}\n\n# ==================== Subdomain Discovery ====================\nsubdomain_discovery:\n tools:\n subfinder:\n enabled: true\n timeout: 600 # 10 minutes (required)\n \n sublist3r:\n enabled: true\n timeout: 900 # 15 minutes (required)\n \n oneforall:\n enabled: true\n timeout: 1200 # 20 minutes (required)\n\n\n# ==================== Port Scan ====================\nport_scan:\n tools:\n naabu_active:\n enabled: true\n timeout: auto # Auto calculate\n threads: 5\n top-ports: 100\n rate: 10\n \n naabu_passive:\n enabled: true\n timeout: auto\n\n\n# ==================== Site Scan ====================\nsite_scan:\n tools:\n httpx:\n enabled: true\n timeout: auto # Auto calculate\n # screenshot: true # Enable site screenshot (requires Chromium)\n\n\n# ==================== Directory Scan ====================\ndirectory_scan:\n tools:\n ffuf:\n enabled: true\n timeout: auto # Auto calculate timeout\n wordlist: ~/Desktop/dirsearch_dicc.txt # Wordlist file path (required)\n delay: 0.1-2.0\n threads: 10\n request_timeout: 10\n match_codes: 200,201,301,302,401,403\n\n\n# ==================== URL Fetch ====================\nurl_fetch:\n tools:\n waymore:\n enabled: true\n timeout: auto\n \n katana:\n enabled: true\n timeout: auto\n depth: 5\n threads: 10\n rate-limit: 30\n random-delay: 1\n retry: 2\n request-timeout: 12\n \n uro:\n enabled: true\n timeout: auto\n \n httpx:\n enabled: true\n timeout: auto\n`\n }\n\n // When engine changes, update YAML content\n useEffect(() => {\n if (engine && open) {\n // TODO: Get actual YAML configuration from backend API\n // If engine has configuration use it, otherwise use sample configuration\n const content = engine.configuration || generateSampleYaml(engine)\n setYamlContent(content)\n setHasChanges(false)\n setYamlError(null)\n }\n }, [engine, open])\n\n // Validate YAML syntax\n const validateYaml = (content: string) => {\n if (!content.trim()) {\n setYamlError(null)\n return true\n }\n\n try {\n yaml.load(content)\n setYamlError(null)\n return true\n } catch (error) {\n const yamlError = error as yaml.YAMLException\n setYamlError({\n message: yamlError.message,\n line: yamlError.mark?.line ? yamlError.mark.line + 1 : undefined,\n column: yamlError.mark?.column ? yamlError.mark.column + 1 : undefined,\n })\n return false\n }\n }\n\n // Handle editor content change\n const handleEditorChange = (value: string | undefined) => {\n const newValue = value || \"\"\n setYamlContent(newValue)\n setHasChanges(true)\n validateYaml(newValue)\n }\n\n // Handle editor mount\n const handleEditorDidMount = (editor: any) => {\n editorRef.current = editor\n setIsEditorReady(true)\n }\n\n // Handle save\n const handleSave = async () => {\n if (!engine) return\n\n // YAML validation\n if (!yamlContent.trim()) {\n toast.error(tToast(\"configRequired\"))\n return\n }\n\n if (!validateYaml(yamlContent)) {\n toast.error(tToast(\"yamlSyntaxError\"), {\n description: yamlError?.message,\n })\n return\n }\n\n setIsSubmitting(true)\n try {\n if (onSave) {\n await onSave(engine.id, yamlContent)\n } else {\n // TODO: Call actual API to save YAML configuration\n await new Promise(resolve => setTimeout(resolve, 1000))\n }\n\n toast.success(tToast(\"configSaveSuccess\"), {\n description: tToast(\"configSaveSuccessDesc\", { name: engine.name }),\n })\n setHasChanges(false)\n onOpenChange(false)\n } catch (error) {\n console.error(\"Failed to save YAML config:\", error)\n toast.error(tToast(\"configSaveFailed\"), {\n description: error instanceof Error ? error.message : tToast(\"unknownError\"),\n })\n } finally {\n setIsSubmitting(false)\n }\n }\n\n // Handle close\n const handleClose = () => {\n if (hasChanges) {\n const confirmed = window.confirm(t(\"confirmClose\"))\n if (!confirmed) return\n }\n onOpenChange(false)\n }\n\n return (\n \n \n
\n \n \n \n {t(\"title\", { name: engine?.name ?? \"\" })}\n \n \n {t(\"desc\")}\n \n \n\n
\n
\n
\n \n {/* Syntax validation status */}\n
\n {yamlContent.trim() && (\n yamlError ? (\n
\n \n {t(\"syntaxError\")}\n
\n ) : (\n
\n \n {t(\"syntaxValid\")}\n
\n )\n )}\n
\n
\n\n {/* Monaco Editor */}\n
\n \n
\n
\n

{t(\"loadingEditor\")}

\n
\n
\n }\n />\n
\n\n {/* Error message display */}\n {yamlError && (\n
\n \n
\n

\n {yamlError.line && yamlError.column\n ? t(\"errorLocation\", { line: yamlError.line, column: yamlError.column })\n : tToast(\"yamlSyntaxError\")}\n

\n

{yamlError.message}

\n
\n
\n )}\n

\n \n {t(\"unsavedChanges\")}\n

\n
\n
\n\n \n \n \n {tCommon(\"cancel\")}\n \n \n {isSubmitting ? (\n <>\n
\n {t(\"saving\")}\n \n ) : (\n <>\n \n {t(\"saveConfig\")}\n \n )}\n \n \n
\n \n
\n )\n}\n" }, { "path": "frontend/components/scan/engine/index.ts", "content": "/**\n * Scan Engine Components - Unified exports\n */\nexport { EngineDataTable } from './engine-data-table'\nexport { createEngineColumns } from './engine-columns'\nexport { EngineEditDialog } from './engine-edit-dialog'\nexport { EngineCreateDialog } from './engine-create-dialog'\n" }, { "path": "frontend/components/scan/engine-preset-selector.tsx", "content": "\"use client\"\n\nimport React, { useMemo, useCallback } from \"react\"\nimport { Play, Server, Settings, Zap } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\n\nimport { Badge } from \"@/components/ui/badge\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { cn } from \"@/lib/utils\"\nimport { CAPABILITY_CONFIG, parseEngineCapabilities, mergeEngineConfigurations } from \"@/lib/engine-config\"\n\nimport type { ScanEngine } from \"@/types/engine.types\"\n\nexport interface EnginePreset {\n id: string\n label: string\n description: string\n icon: React.ComponentType<{ className?: string }>\n engineIds: number[]\n}\n\ninterface EnginePresetSelectorProps {\n engines: ScanEngine[]\n selectedEngineIds: number[]\n selectedPresetId: string | null\n onPresetChange: (presetId: string | null) => void\n onEngineIdsChange: (engineIds: number[]) => void\n onConfigurationChange: (config: string) => void\n disabled?: boolean\n className?: string\n}\n\nexport function EnginePresetSelector({\n engines,\n selectedEngineIds,\n selectedPresetId,\n onPresetChange,\n onEngineIdsChange,\n onConfigurationChange,\n disabled = false,\n className,\n}: EnginePresetSelectorProps) {\n const t = useTranslations(\"scan.initiate\")\n const tStages = useTranslations(\"scan.progress.stages\")\n\n // Preset definitions with precise engine filtering\n const enginePresets = useMemo(() => {\n if (!engines?.length) return []\n \n // Categorize engines by their capabilities\n const fullScanEngines: number[] = []\n const reconEngines: number[] = []\n const vulnEngines: number[] = []\n \n engines.forEach(e => {\n const caps = parseEngineCapabilities(e.configuration || \"\")\n const hasRecon = caps.includes(\"subdomain_discovery\") || caps.includes(\"port_scan\") || caps.includes(\"site_scan\") || caps.includes(\"directory_scan\") || caps.includes(\"url_fetch\")\n const hasVuln = caps.includes(\"vuln_scan\")\n \n if (hasRecon && hasVuln) {\n // Full capability engine - only for full scan\n fullScanEngines.push(e.id)\n } else if (hasRecon && !hasVuln) {\n // Recon only engine\n reconEngines.push(e.id)\n } else if (hasVuln && !hasRecon) {\n // Vuln only engine\n vulnEngines.push(e.id)\n }\n })\n \n return [\n {\n id: \"full\",\n label: t(\"presets.fullScan\"),\n description: t(\"presets.fullScanDesc\"),\n icon: Zap,\n engineIds: fullScanEngines,\n },\n {\n id: \"recon\",\n label: t(\"presets.recon\"),\n description: t(\"presets.reconDesc\"),\n icon: Server,\n engineIds: reconEngines,\n },\n {\n id: \"vuln\",\n label: t(\"presets.vulnScan\"),\n description: t(\"presets.vulnScanDesc\"),\n icon: Play,\n engineIds: vulnEngines,\n },\n {\n id: \"custom\",\n label: t(\"presets.custom\"),\n description: t(\"presets.customDesc\"),\n icon: Settings,\n engineIds: [],\n },\n ]\n }, [engines, t])\n\n const selectedEngines = useMemo(() => {\n if (!selectedEngineIds.length || !engines) return []\n return engines.filter((e) => selectedEngineIds.includes(e.id))\n }, [selectedEngineIds, engines])\n\n const selectedCapabilities = useMemo(() => {\n if (!selectedEngines.length) return []\n const allCaps = new Set()\n selectedEngines.forEach((engine) => {\n parseEngineCapabilities(engine.configuration || \"\").forEach((cap) => allCaps.add(cap))\n })\n return Array.from(allCaps)\n }, [selectedEngines])\n\n // Get currently selected preset details\n const selectedPreset = useMemo(() => {\n return enginePresets.find(p => p.id === selectedPresetId)\n }, [enginePresets, selectedPresetId])\n\n // Get engines for the selected preset\n const presetEngines = useMemo(() => {\n if (!selectedPreset || selectedPreset.id === \"custom\") return []\n return engines?.filter(e => selectedPreset.engineIds.includes(e.id)) || []\n }, [selectedPreset, engines])\n\n // Update configuration when engines change\n const updateConfigurationFromEngines = useCallback((engineIds: number[]) => {\n if (!engines) return\n const selectedEngs = engines.filter(e => engineIds.includes(e.id))\n const mergedConfig = mergeEngineConfigurations(selectedEngs.map(e => e.configuration || \"\"))\n onConfigurationChange(mergedConfig)\n }, [engines, onConfigurationChange])\n\n const handlePresetSelect = useCallback((preset: EnginePreset) => {\n onPresetChange(preset.id)\n if (preset.id !== \"custom\") {\n onEngineIdsChange(preset.engineIds)\n updateConfigurationFromEngines(preset.engineIds)\n } else {\n // Custom mode - keep current selection or clear\n if (selectedEngineIds.length === 0) {\n onConfigurationChange(\"\")\n }\n }\n }, [onPresetChange, onEngineIdsChange, updateConfigurationFromEngines, selectedEngineIds.length, onConfigurationChange])\n\n const handleEngineToggle = useCallback((engineId: number, checked: boolean) => {\n let newEngineIds: number[]\n if (checked) {\n newEngineIds = [...selectedEngineIds, engineId]\n } else {\n newEngineIds = selectedEngineIds.filter((id) => id !== engineId)\n }\n onEngineIdsChange(newEngineIds)\n updateConfigurationFromEngines(newEngineIds)\n }, [selectedEngineIds, onEngineIdsChange, updateConfigurationFromEngines])\n\n return (\n
\n
\n {/* Compact preset cards */}\n
\n {enginePresets.map((preset) => {\n const isActive = selectedPresetId === preset.id\n const PresetIcon = preset.icon\n const matchedEngines = preset.id === \"custom\" \n ? [] \n : engines?.filter(e => preset.engineIds.includes(e.id)) || []\n \n return (\n handlePresetSelect(preset)}\n disabled={disabled}\n className={cn(\n \"flex flex-col items-center p-3 rounded-lg border-2 text-center transition-all\",\n isActive\n ? \"border-primary bg-primary/5\"\n : \"border-border hover:border-primary/50 hover:bg-muted/30\",\n disabled && \"opacity-50 cursor-not-allowed\"\n )}\n >\n
\n \n
\n {preset.label}\n {preset.id !== \"custom\" && (\n \n {matchedEngines.length} {t(\"presets.enginesCount\")}\n \n )}\n \n )\n })}\n
\n \n {/* Selected preset details */}\n {selectedPresetId && selectedPresetId !== \"custom\" && (\n
\n
\n
\n

{selectedPreset?.label}

\n

{selectedPreset?.description}

\n
\n
\n \n {/* Capabilities */}\n
\n

{t(\"presets.capabilities\")}

\n
\n {selectedCapabilities.map((capKey) => {\n const config = CAPABILITY_CONFIG[capKey]\n return (\n \n {tStages(capKey)}\n \n )\n })}\n
\n
\n \n {/* Engines list */}\n
\n

{t(\"presets.usedEngines\")}

\n
\n {presetEngines.map((engine) => (\n \n {engine.name}\n \n ))}\n
\n
\n
\n )}\n \n {/* Custom mode engine selection */}\n {selectedPresetId === \"custom\" && (\n
\n
\n
\n

{selectedPreset?.label}

\n

{selectedPreset?.description}

\n
\n
\n \n {/* Capabilities - dynamically calculated from selected engines */}\n
\n

{t(\"presets.capabilities\")}

\n
\n {selectedCapabilities.length > 0 ? (\n selectedCapabilities.map((capKey) => {\n const config = CAPABILITY_CONFIG[capKey]\n return (\n \n {tStages(capKey)}\n \n )\n })\n ) : (\n {t(\"presets.noCapabilities\")}\n )}\n
\n
\n \n {/* Engines list - selectable */}\n
\n

{t(\"presets.usedEngines\")}

\n
\n {engines?.map((engine) => {\n const isSelected = selectedEngineIds.includes(engine.id)\n return (\n \n {\n handleEngineToggle(engine.id, checked as boolean)\n }}\n disabled={disabled}\n className=\"h-4 w-4\"\n />\n {engine.name}\n \n )\n })}\n
\n
\n
\n )}\n \n {/* Empty state */}\n {!selectedPresetId && (\n
\n \n

{t(\"presets.selectHint\")}

\n
\n )}\n
\n
\n )\n}\n" }, { "path": "frontend/components/scan/history/index.ts", "content": "/**\n * Scan History Components - Unified exports\n */\nexport { ScanHistoryList } from './scan-history-list'\nexport { ScanHistoryDataTable } from './scan-history-data-table'\nexport { createScanHistoryColumns } from './scan-history-columns'\n\n" }, { "path": "frontend/components/scan/history/scan-history-columns.tsx", "content": "\"use client\"\n\nimport React from \"react\"\nimport { ColumnDef } from \"@tanstack/react-table\"\nimport { Checkbox } from \"@/components/ui/checkbox\"\nimport { Button } from \"@/components/ui/button\"\nimport { Badge } from \"@/components/ui/badge\"\nimport type { ScanRecord, ScanStatus } from \"@/types/scan.types\"\nimport {\n DropdownMenu,\n DropdownMenuContent,\n DropdownMenuItem,\n DropdownMenuSeparator,\n DropdownMenuTrigger,\n} from \"@/components/ui/dropdown-menu\"\nimport {\n Tooltip,\n TooltipContent,\n TooltipProvider,\n TooltipTrigger,\n} from \"@/components/ui/tooltip\"\nimport { \n MoreHorizontal, \n Eye, \n Trash2, \n StopCircle,\n} from \"lucide-react\"\nimport { DataTableColumnHeader } from \"@/components/ui/data-table/column-header\"\nimport {\n IconClock,\n IconCircleCheck,\n IconCircleX,\n IconLoader,\n IconWorld,\n IconBrowser,\n IconServer,\n IconLink,\n IconBug,\n} from \"@tabler/icons-react\"\n\n// Translation type definitions\nexport interface ScanHistoryTranslations {\n columns: {\n target: string\n summary: string\n engineName: string\n workerName: string\n createdAt: string\n status: string\n progress: string\n }\n actions: {\n snapshot: string\n stopScan: string\n delete: string\n openMenu: string\n selectAll: string\n selectRow: string\n }\n tooltips: {\n targetDetails: string\n viewProgress: string\n }\n status: {\n cancelled: string\n completed: string\n failed: string\n initiated: string\n running: string\n }\n summary: {\n subdomains: string\n websites: string\n ipAddresses: string\n endpoints: string\n vulnerabilities: string\n }\n}\n\n/**\n * Status badge component\n */\nfunction StatusBadge({ \n status, \n onClick,\n labels,\n}: { \n status: ScanStatus\n onClick?: () => void\n labels: Record\n}) {\n const config: Record\n variant: \"secondary\" | \"default\" | \"outline\" | \"destructive\"\n className?: string\n }> = {\n cancelled: {\n icon: IconCircleX,\n variant: \"outline\",\n className: \"bg-[#848d97]/10 text-[#848d97] border-[#848d97]/20 hover:bg-[#848d97]/20 transition-colors\",\n },\n completed: {\n icon: IconCircleCheck,\n variant: \"outline\",\n className: \"bg-[#238636]/10 text-[#238636] border-[#238636]/20 hover:bg-[#238636]/20 dark:text-[#3fb950] transition-colors\",\n },\n failed: {\n icon: IconCircleX,\n variant: \"outline\",\n className: \"bg-[#da3633]/10 text-[#da3633] border-[#da3633]/20 hover:bg-[#da3633]/20 dark:text-[#f85149] transition-colors\",\n },\n initiated: {\n icon: IconClock,\n variant: \"outline\",\n className: \"bg-[#d29922]/10 text-[#d29922] border-[#d29922]/20 hover:bg-[#d29922]/20 transition-colors\",\n },\n running: {\n icon: IconLoader,\n variant: \"outline\",\n className: \"bg-[#d29922]/10 text-[#d29922] border-[#d29922]/20 hover:bg-[#d29922]/20 transition-colors\",\n },\n }\n\n const { icon: Icon, variant, className } = config[status]\n const label = labels[status]\n\n const badge = (\n \n {(status === \"running\" || status === \"initiated\") ? (\n \n \n \n \n ) : (\n \n )}\n {label}\n {onClick && ›}\n \n )\n\n if (onClick) {\n return (\n \n )\n }\n\n return badge\n}\n\n// Column creation function parameter types\ninterface CreateColumnsProps {\n formatDate: (dateString: string) => string\n navigate: (path: string) => void\n handleDelete: (scan: ScanRecord) => void\n handleStop: (scan: ScanRecord) => void\n handleViewProgress?: (scan: ScanRecord) => void\n t: ScanHistoryTranslations\n hideTargetColumn?: boolean\n}\n\n/**\n * Create scan history table column definitions\n */\nexport const createScanHistoryColumns = ({\n formatDate,\n navigate,\n handleDelete,\n handleStop,\n handleViewProgress,\n t,\n hideTargetColumn = false,\n}: CreateColumnsProps): ColumnDef[] => {\n const columns: ColumnDef[] = [\n {\n id: \"select\",\n size: 40,\n minSize: 40,\n maxSize: 40,\n enableResizing: false,\n header: ({ table }) => (\n table.toggleAllPageRowsSelected(!!value)}\n aria-label={t.actions.selectAll}\n />\n ),\n cell: ({ row }) => (\n row.toggleSelected(!!value)}\n aria-label={t.actions.selectRow}\n />\n ),\n enableSorting: false,\n enableHiding: false,\n },\n {\n accessorKey: \"targetName\",\n size: 350,\n minSize: 100,\n meta: { title: t.columns.target },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const targetName = row.getValue(\"targetName\") as string\n const targetId = row.original.target\n \n return (\n
\n {targetId ? (\n \n \n navigate(`/target/${targetId}/details`)}\n className=\"text-sm font-medium hover:text-primary hover:underline underline-offset-2 transition-colors cursor-pointer text-left break-all leading-relaxed whitespace-normal\"\n >\n {targetName}\n \n \n {t.tooltips.targetDetails}\n \n ) : (\n \n {targetName}\n \n )}\n
\n )\n },\n },\n {\n accessorKey: \"summary\",\n meta: { title: t.columns.summary },\n header: ({ column }) => (\n \n ),\n size: 290,\n minSize: 150,\n cell: ({ row }) => {\n const summary = (row.getValue(\"summary\") as {\n subdomains: number\n websites: number\n endpoints: number\n ips: number\n vulnerabilities: {\n total: number\n critical: number\n high: number\n medium: number\n low: number\n }\n }) || {}\n\n const subdomains = summary?.subdomains ?? 0\n const websites = summary?.websites ?? 0\n const endpoints = summary?.endpoints ?? 0\n const ips = summary?.ips ?? 0\n const vulns = summary?.vulnerabilities?.total ?? 0\n\n const badges: React.ReactNode[] = []\n\n if (subdomains > 0) {\n badges.push(\n \n \n \n \n \n {subdomains}\n \n \n \n

{t.summary.subdomains}

\n \n \n \n )\n }\n\n if (websites > 0) {\n badges.push(\n \n \n \n \n \n {websites}\n \n \n \n

{t.summary.websites}

\n \n \n \n )\n }\n\n if (ips > 0) {\n badges.push(\n \n \n \n \n \n {ips}\n \n \n \n

{t.summary.ipAddresses}

\n \n \n \n )\n }\n\n if (endpoints > 0) {\n badges.push(\n \n \n \n \n \n {endpoints}\n \n \n \n

{t.summary.endpoints}

\n \n \n \n )\n }\n\n if (vulns > 0) {\n badges.push(\n \n \n \n \n \n {vulns}\n \n \n \n

\n {summary?.vulnerabilities?.critical ?? 0} Critical, {summary?.vulnerabilities?.high ?? 0} High, {summary?.vulnerabilities?.medium ?? 0} Medium {t.summary.vulnerabilities}\n

\n \n \n \n )\n }\n\n return (\n
\n {badges.length > 0 ? (\n badges\n ) : (\n \n -\n No summary\n \n )}\n
\n )\n },\n enableSorting: false,\n },\n {\n accessorKey: \"engineNames\",\n size: 150,\n minSize: 100,\n maxSize: 200,\n enableResizing: false,\n meta: { title: t.columns.engineName },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const engineNames = row.getValue(\"engineNames\") as string[] | undefined\n if (!engineNames || engineNames.length === 0) {\n return -\n }\n return (\n
\n {engineNames.map((name, index) => (\n \n {name}\n \n ))}\n
\n )\n },\n },\n {\n accessorKey: \"workerName\",\n size: 120,\n minSize: 80,\n maxSize: 180,\n enableResizing: false,\n meta: { title: t.columns.workerName },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const workerName = row.getValue(\"workerName\") as string | null | undefined\n return (\n \n {workerName || \"-\"}\n \n )\n },\n },\n {\n accessorKey: \"createdAt\",\n size: 150,\n minSize: 120,\n maxSize: 200,\n enableResizing: false,\n meta: { title: t.columns.createdAt },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const createdAt = row.getValue(\"createdAt\") as string\n return (\n
\n {formatDate(createdAt)}\n
\n )\n },\n },\n {\n accessorKey: \"status\",\n size: 110,\n minSize: 90,\n maxSize: 130,\n enableResizing: false,\n meta: { title: t.columns.status },\n header: ({ column }) => (\n \n ),\n cell: ({ row }) => {\n const status = row.getValue(\"status\") as ScanStatus\n return (\n handleViewProgress(row.original) : undefined}\n labels={t.status}\n />\n )\n },\n },\n {\n accessorKey: \"progress\",\n meta: { title: t.columns.progress },\n header: ({ column }) => (\n \n ),\n size: 150,\n minSize: 120,\n maxSize: 200,\n cell: ({ row }) => {\n const progress = row.getValue(\"progress\") as number\n const status = row.original.status\n const displayProgress = status === \"completed\" ? 100 : progress\n \n return (\n
\n
\n
\n
\n \n {displayProgress}%\n \n
\n )\n },\n enableSorting: false,\n },\n {\n id: \"actions\",\n size: 120,\n minSize: 100,\n maxSize: 150,\n enableResizing: false,\n cell: ({ row }) => {\n const scan = row.original\n const canStop = scan.status === 'running' || scan.status === 'initiated'\n \n return (\n
\n navigate(`/scan/history/${scan.id}/`)}\n >\n \n {t.actions.snapshot}\n \n \n \n \n \n \n {t.actions.openMenu}\n \n \n \n {canStop && (\n <>\n handleStop(scan)}\n className=\"text-primary focus:text-primary\"\n >\n \n {t.actions.stopScan}\n \n \n \n )}\n handleDelete(scan)}\n className=\"text-destructive focus:text-destructive\"\n >\n \n {t.actions.delete}\n \n \n \n
\n )\n },\n enableSorting: false,\n enableHiding: false,\n },\n]\n\n // Filter out targetName column if hideTargetColumn is true\n if (hideTargetColumn) {\n return columns.filter(col => (col as any).accessorKey !== 'targetName')\n }\n\n return columns\n}\n" }, { "path": "frontend/components/scan/history/scan-history-data-table.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { useTranslations } from \"next-intl\"\nimport { IconSearch, IconLoader2 } from \"@tabler/icons-react\"\nimport { Button } from \"@/components/ui/button\"\nimport { Input } from \"@/components/ui/input\"\nimport { UnifiedDataTable } from \"@/components/ui/data-table\"\nimport type { ScanRecord } from \"@/types/scan.types\"\nimport type { PaginationInfo } from \"@/types/common.types\"\n\ninterface ScanHistoryDataTableProps {\n data: ScanRecord[]\n columns: ColumnDef[]\n onAddNew?: () => void\n onBulkDelete?: () => void\n onSelectionChange?: (selectedRows: ScanRecord[]) => void\n searchPlaceholder?: string\n searchValue?: string\n onSearch?: (value: string) => void\n isSearching?: boolean\n addButtonText?: string\n pagination?: { pageIndex: number; pageSize: number }\n setPagination?: React.Dispatch>\n paginationInfo?: PaginationInfo\n onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void\n hideToolbar?: boolean\n hidePagination?: boolean\n pageSizeOptions?: number[]\n}\n\n/**\n * Scan history data table component\n * Uses UnifiedDataTable unified component\n */\nexport function ScanHistoryDataTable({\n data = [],\n columns,\n onAddNew,\n onBulkDelete,\n onSelectionChange,\n searchPlaceholder,\n searchValue,\n onSearch,\n isSearching = false,\n addButtonText,\n pagination: externalPagination,\n setPagination: setExternalPagination,\n paginationInfo,\n onPaginationChange,\n hideToolbar = false,\n hidePagination = false,\n pageSizeOptions,\n}: ScanHistoryDataTableProps) {\n const t = useTranslations(\"common.status\")\n const tScan = useTranslations(\"scan.history\")\n const tActions = useTranslations(\"common.actions\")\n \n // Search local state\n const [localSearchValue, setLocalSearchValue] = React.useState(searchValue || \"\")\n\n React.useEffect(() => {\n setLocalSearchValue(searchValue || \"\")\n }, [searchValue])\n\n const handleSearchSubmit = () => {\n if (onSearch) {\n onSearch(localSearchValue)\n }\n }\n\n const handleKeyDown = (e: React.KeyboardEvent) => {\n if (e.key === \"Enter\") {\n handleSearchSubmit()\n }\n }\n\n return (\n String(row.id)}\n // Pagination\n pagination={externalPagination}\n setPagination={setExternalPagination}\n paginationInfo={paginationInfo}\n onPaginationChange={onPaginationChange}\n hidePagination={hidePagination}\n pageSizeOptions={pageSizeOptions}\n // Selection\n onSelectionChange={onSelectionChange}\n // Bulk operations\n onBulkDelete={onBulkDelete}\n bulkDeleteLabel={tActions(\"delete\")}\n onAddNew={onAddNew}\n addButtonLabel={addButtonText || tScan(\"title\")}\n // Toolbar\n hideToolbar={hideToolbar}\n // Empty state\n emptyMessage={t(\"noData\")}\n // Auto column sizing\n enableAutoColumnSizing\n // Custom search box\n toolbarLeft={\n
\n setLocalSearchValue(e.target.value)}\n onKeyDown={handleKeyDown}\n className=\"h-8 max-w-sm\"\n />\n \n
\n }\n />\n )\n}\n" }, { "path": "frontend/components/scan/history/scan-history-list.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo } from \"react\"\nimport { useRouter } from \"next/navigation\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport { ScanHistoryDataTable } from \"./scan-history-data-table\"\nimport { createScanHistoryColumns } from \"./scan-history-columns\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport type { ScanRecord } from \"@/types/scan.types\"\nimport type { ColumnDef } from \"@tanstack/react-table\"\nimport { DataTableSkeleton } from \"@/components/ui/data-table-skeleton\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { toast } from \"sonner\"\nimport { useScans } from \"@/hooks/use-scans\"\nimport { deleteScan, bulkDeleteScans, stopScan, getScan } from \"@/services/scan.service\"\nimport { useMutation, useQueryClient } from \"@tanstack/react-query\"\nimport { ScanProgressDialog, buildScanProgressData, type ScanProgressData } from \"@/components/scan/scan-progress-dialog\"\n\n/**\n * Scan history list component\n * Used to display and manage scan history records\n */\ninterface ScanHistoryListProps {\n hideToolbar?: boolean\n targetId?: number // Filter by target ID\n pageSize?: number // Custom page size\n hideTargetColumn?: boolean // Hide target column (useful when showing scans for a specific target)\n pageSizeOptions?: number[] // Custom page size options\n hidePagination?: boolean // Hide pagination completely\n}\n\nexport function ScanHistoryList({ hideToolbar = false, targetId, pageSize: customPageSize, hideTargetColumn = false, pageSizeOptions, hidePagination = false }: ScanHistoryListProps) {\n const queryClient = useQueryClient()\n const [selectedScans, setSelectedScans] = useState([])\n const [deleteDialogOpen, setDeleteDialogOpen] = useState(false)\n const [scanToDelete, setScanToDelete] = useState(null)\n const [bulkDeleteDialogOpen, setBulkDeleteDialogOpen] = useState(false)\n const [stopDialogOpen, setStopDialogOpen] = useState(false)\n const [scanToStop, setScanToStop] = useState(null)\n\n // Internationalization\n const tColumns = useTranslations(\"columns\")\n const tCommon = useTranslations(\"common\")\n const tTooltips = useTranslations(\"tooltips\")\n const tScan = useTranslations(\"scan\")\n const tToast = useTranslations(\"toast\")\n const tConfirm = useTranslations(\"common.confirm\")\n const locale = useLocale()\n\n // Build translation object\n const translations = useMemo(() => ({\n columns: {\n target: tColumns(\"scanHistory.target\"),\n summary: tColumns(\"scanHistory.summary\"),\n engineName: tColumns(\"scanHistory.engineName\"),\n workerName: tColumns(\"scanHistory.workerName\"),\n createdAt: tColumns(\"common.createdAt\"),\n status: tColumns(\"common.status\"),\n progress: tColumns(\"scanHistory.progress\"),\n },\n actions: {\n snapshot: tCommon(\"actions.snapshot\"),\n stopScan: tScan(\"stopScan\"),\n delete: tCommon(\"actions.delete\"),\n openMenu: tCommon(\"actions.openMenu\"),\n selectAll: tCommon(\"actions.selectAll\"),\n selectRow: tCommon(\"actions.selectRow\"),\n },\n tooltips: {\n targetDetails: tTooltips(\"targetDetails\"),\n viewProgress: tTooltips(\"viewProgress\"),\n },\n status: {\n cancelled: tCommon(\"status.cancelled\"),\n completed: tCommon(\"status.completed\"),\n failed: tCommon(\"status.failed\"),\n initiated: tCommon(\"status.pending\"),\n running: tCommon(\"status.running\"),\n },\n summary: {\n subdomains: tColumns(\"scanHistory.subdomains\"),\n websites: tColumns(\"scanHistory.websites\"),\n ipAddresses: tColumns(\"scanHistory.ipAddresses\"),\n endpoints: tColumns(\"scanHistory.endpoints\"),\n vulnerabilities: tColumns(\"scanHistory.vulnerabilities\"),\n },\n }), [tColumns, tCommon, tTooltips, tScan])\n \n // Progress dialog state\n const [progressDialogOpen, setProgressDialogOpen] = useState(false)\n const [progressData, setProgressData] = useState(null)\n \n // Pagination state\n const [pagination, setPagination] = useState({\n pageIndex: 0,\n pageSize: customPageSize || 10,\n })\n\n // Search state\n const [searchQuery, setSearchQuery] = useState(\"\")\n const [isSearching, setIsSearching] = useState(false)\n\n const handleSearchChange = (value: string) => {\n setIsSearching(true)\n setSearchQuery(value)\n setPagination((prev) => ({ ...prev, pageIndex: 0 }))\n }\n \n // Get scan list data\n const { data, isLoading, isFetching, error } = useScans({\n page: pagination.pageIndex + 1, // API page numbers start from 1\n pageSize: pagination.pageSize,\n search: searchQuery || undefined,\n target: targetId,\n })\n\n // Reset search state when request completes\n React.useEffect(() => {\n if (!isFetching && isSearching) {\n setIsSearching(false)\n }\n }, [isFetching, isSearching])\n \n // Scan list data\n const scans = data?.results || []\n \n // Delete single scan mutation\n const deleteMutation = useMutation({\n mutationFn: deleteScan,\n onSuccess: () => {\n // Refresh list data\n queryClient.invalidateQueries({ queryKey: ['scans'] })\n },\n })\n \n // Bulk delete mutation\n const bulkDeleteMutation = useMutation({\n mutationFn: bulkDeleteScans,\n onSuccess: () => {\n // Refresh list data\n queryClient.invalidateQueries({ queryKey: ['scans'] })\n // Clear selected items\n setSelectedScans([])\n },\n })\n \n // Stop scan mutation\n const stopMutation = useMutation({\n mutationFn: stopScan,\n onSuccess: () => {\n // Refresh list data\n queryClient.invalidateQueries({ queryKey: ['scans'] })\n },\n })\n\n // Helper function - format date\n const formatDate = (dateString: string): string => {\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"numeric\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n hour12: false,\n })\n }\n\n // Navigation function\n const router = useRouter()\n const navigate = (path: string) => {\n router.push(path)\n }\n\n // Handle delete scan record\n const handleDeleteScan = (scan: ScanRecord) => {\n setScanToDelete(scan)\n setDeleteDialogOpen(true)\n }\n\n // Confirm delete scan record\n const confirmDelete = async () => {\n if (!scanToDelete) return\n\n setDeleteDialogOpen(false)\n \n try {\n await deleteMutation.mutateAsync(scanToDelete.id)\n toast.success(tToast(\"deletedScanRecord\", { name: scanToDelete.targetName }))\n } catch (error) {\n toast.error(tToast(\"deleteFailed\"))\n console.error('Delete failed:', error)\n } finally {\n setScanToDelete(null)\n }\n }\n\n // Handle bulk delete\n const handleBulkDelete = () => {\n if (selectedScans.length === 0) {\n return\n }\n setBulkDeleteDialogOpen(true)\n }\n \n // Handle stop scan\n const handleStopScan = (scan: ScanRecord) => {\n setScanToStop(scan)\n setStopDialogOpen(true)\n }\n \n // Confirm stop scan\n const confirmStop = async () => {\n if (!scanToStop) return\n\n setStopDialogOpen(false)\n \n try {\n await stopMutation.mutateAsync(scanToStop.id)\n toast.success(tToast(\"stoppedScan\", { name: scanToStop.targetName }))\n } catch (error) {\n toast.error(tToast(\"stopFailed\"))\n console.error('Stop scan failed:', error)\n } finally {\n setScanToStop(null)\n }\n }\n \n // View scan progress (get latest data for single scan)\n const handleViewProgress = async (scan: ScanRecord) => {\n try {\n // Get latest data for single scan, instead of refreshing entire list\n const freshScan = await getScan(scan.id)\n const progressData = buildScanProgressData(freshScan)\n setProgressData(progressData)\n setProgressDialogOpen(true)\n } catch (error) {\n // If fetch fails, use current data\n const progressData = buildScanProgressData(scan)\n setProgressData(progressData)\n setProgressDialogOpen(true)\n }\n }\n\n // Confirm bulk delete\n const confirmBulkDelete = async () => {\n if (selectedScans.length === 0) return\n\n const deletedIds = selectedScans.map(scan => scan.id)\n \n setBulkDeleteDialogOpen(false)\n \n try {\n const result = await bulkDeleteMutation.mutateAsync(deletedIds)\n toast.success(result.message || tToast(\"bulkDeleteSuccess\", { count: result.deletedCount }))\n } catch (error) {\n toast.error(tToast(\"bulkDeleteFailed\"))\n console.error('Bulk delete failed:', error)\n }\n }\n\n\n // Handle pagination change\n const handlePaginationChange = (newPagination: { pageIndex: number; pageSize: number }) => {\n setPagination(newPagination)\n }\n\n // Create column definitions\n const scanColumns = useMemo(\n () =>\n createScanHistoryColumns({\n formatDate,\n navigate,\n handleDelete: handleDeleteScan,\n handleStop: handleStopScan,\n handleViewProgress,\n t: translations,\n hideTargetColumn,\n }),\n [navigate, translations, hideTargetColumn]\n )\n\n // Error handling\n if (error) {\n return (\n
\n

{tScan(\"history.loadFailed\")}

\n \n
\n )\n }\n\n // Loading state\n if (isLoading) {\n return (\n \n )\n }\n\n return (\n <>\n []}\n onBulkDelete={hideToolbar ? undefined : handleBulkDelete}\n onSelectionChange={setSelectedScans}\n searchPlaceholder={tScan(\"history.searchPlaceholder\")}\n searchValue={searchQuery}\n onSearch={handleSearchChange}\n isSearching={isSearching}\n pagination={pagination}\n setPagination={setPagination}\n paginationInfo={{\n total: data?.total || 0,\n page: data?.page || 1,\n pageSize: data?.pageSize || 10,\n totalPages: data?.totalPages || 1,\n }}\n onPaginationChange={handlePaginationChange}\n hideToolbar={hideToolbar}\n pageSizeOptions={pageSizeOptions}\n hidePagination={hidePagination}\n />\n\n {/* Delete confirmation dialog */}\n \n \n \n {tConfirm(\"deleteTitle\")}\n \n {tConfirm(\"deleteScanMessage\", { name: scanToDelete?.targetName ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {tCommon(\"actions.delete\")}\n \n \n \n \n\n {/* Bulk delete confirmation dialog */}\n \n \n \n {tConfirm(\"bulkDeleteTitle\")}\n \n {tConfirm(\"bulkDeleteScanMessage\", { count: selectedScans.length })}\n \n \n {/* Scan record list container */}\n
\n
    \n {selectedScans.map((scan) => (\n
  • \n {scan.targetName}\n {scan.engineNames?.join(\", \") || \"-\"}\n
    • \n ))}\n
\n
\n \n {tCommon(\"actions.cancel\")}\n \n {tConfirm(\"deleteScanCount\", { count: selectedScans.length })}\n \n \n \n \n\n {/* Stop scan confirmation dialog */}\n \n \n \n {tConfirm(\"stopScanTitle\")}\n \n {tConfirm(\"stopScanMessage\", { name: scanToStop?.targetName ?? \"\" })}\n \n \n \n {tCommon(\"actions.cancel\")}\n \n {tConfirm(\"stopScanAction\")}\n \n \n \n \n\n {/* Scan progress dialog */}\n \n \n )\n}\n" }, { "path": "frontend/components/scan/history/scan-history-stat-cards.tsx", "content": "\"use client\"\n\nimport { useTranslations } from \"next-intl\"\nimport { Card, CardAction, CardDescription, CardFooter, CardHeader, CardTitle } from \"@/components/ui/card\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { \n IconRadar, \n IconPlayerPlay, \n IconBug,\n IconStack2\n} from \"@tabler/icons-react\"\nimport { useScanStatistics } from \"@/hooks/use-scans\"\n\nfunction StatCard({\n title,\n value,\n icon,\n loading,\n footer,\n badgeText,\n}: {\n title: string\n value: string | number\n icon: React.ReactNode\n loading?: boolean\n footer: string\n badgeText: string\n}) {\n return (\n \n \n \n {icon}\n {title}\n \n {loading ? (\n \n ) : (\n \n {value}\n \n )}\n \n {badgeText}\n \n \n \n
{footer}
\n \n \n )\n}\n\nexport function ScanHistoryStatCards() {\n const { data, isLoading } = useScanStatistics()\n const t = useTranslations(\"scan.history.stats\")\n\n return (\n
\n }\n loading={isLoading}\n footer={t(\"allScanTasks\")}\n badgeText={t(\"all\")}\n />\n }\n loading={isLoading}\n footer={t(\"runningScans\")}\n badgeText={t(\"all\")}\n />\n }\n loading={isLoading}\n footer={t(\"completedScansFound\")}\n badgeText={t(\"all\")}\n />\n }\n loading={isLoading}\n footer={t(\"assetTypes\")}\n badgeText={t(\"all\")}\n />\n
\n )\n}\n" }, { "path": "frontend/components/scan/history/scan-overview.tsx", "content": "\"use client\"\n\nimport React, { useState } from \"react\"\nimport Link from \"next/link\"\nimport { useTranslations, useLocale } from \"next-intl\"\nimport {\n Globe,\n Network,\n Server,\n Link2,\n FolderOpen,\n AlertTriangle,\n Clock,\n Calendar,\n ChevronRight,\n Target,\n CheckCircle2,\n XCircle,\n Loader2,\n Cpu,\n HardDrive,\n} from \"lucide-react\"\nimport {\n IconCircleCheck,\n IconCircleX,\n IconClock,\n} from \"@tabler/icons-react\"\nimport { Card, CardContent, CardHeader, CardTitle } from \"@/components/ui/card\"\nimport { Skeleton } from \"@/components/ui/skeleton\"\nimport { Badge } from \"@/components/ui/badge\"\nimport { Switch } from \"@/components/ui/switch\"\nimport { Label } from \"@/components/ui/label\"\nimport { Separator } from \"@/components/ui/separator\"\nimport { Tabs, TabsList, TabsTrigger } from \"@/components/ui/tabs\"\nimport { useScan } from \"@/hooks/use-scans\"\nimport { useScanLogs } from \"@/hooks/use-scan-logs\"\nimport { ScanLogList } from \"@/components/scan/scan-log-list\"\nimport { YamlEditor } from \"@/components/ui/yaml-editor\"\nimport { getDateLocale } from \"@/lib/date-utils\"\nimport { cn } from \"@/lib/utils\"\nimport type { StageStatus } from \"@/types/scan.types\"\n\ninterface ScanOverviewProps {\n scanId: number\n}\n\n/**\n * Scan overview component\n * Displays statistics cards for the scan results\n */\n// Pulsing dot animation\nfunction PulsingDot({ className }: { className?: string }) {\n return (\n \n \n \n \n )\n}\n\n// Stage status icon\nfunction StageStatusIcon({ status }: { status: StageStatus }) {\n switch (status) {\n case \"completed\":\n return \n case \"running\":\n return \n case \"failed\":\n return \n case \"cancelled\":\n return \n default:\n return \n }\n}\n\n// Format duration (seconds -> readable string)\nfunction formatStageDuration(seconds?: number): string | undefined {\n if (seconds === undefined || seconds === null) return undefined\n if (seconds < 1) return \"<1s\"\n if (seconds < 60) return `${Math.round(seconds)}s`\n const minutes = Math.floor(seconds / 60)\n const secs = Math.round(seconds % 60)\n return secs > 0 ? `${minutes}m ${secs}s` : `${minutes}m`\n}\n\n// Status priority for sorting (lower = higher priority)\nconst STAGE_STATUS_PRIORITY: Record = {\n running: 0,\n pending: 1,\n completed: 2,\n failed: 3,\n cancelled: 4,\n}\n\nexport function ScanOverview({ scanId }: ScanOverviewProps) {\n const t = useTranslations(\"scan.history.overview\")\n const tStatus = useTranslations(\"scan.history.status\")\n const tProgress = useTranslations(\"scan.progress\")\n const locale = useLocale()\n\n const { data: scan, isLoading, error } = useScan(scanId)\n \n // Check if scan is running (for log polling)\n const isRunning = scan?.status === 'running' || scan?.status === 'initiated'\n \n // Auto-refresh state (default: on when running)\n const [autoRefresh, setAutoRefresh] = useState(true)\n \n // Tab state for logs/config\n const [activeTab, setActiveTab] = useState<'logs' | 'config'>('logs')\n \n // Logs hook\n const { logs, loading: logsLoading } = useScanLogs({\n scanId,\n enabled: !!scan,\n pollingInterval: isRunning && autoRefresh ? 3000 : 0,\n })\n\n // Format date helper\n const formatDate = (dateString: string | undefined): string => {\n if (!dateString) return \"-\"\n return new Date(dateString).toLocaleString(getDateLocale(locale), {\n year: \"numeric\",\n month: \"short\",\n day: \"numeric\",\n hour: \"2-digit\",\n minute: \"2-digit\",\n })\n }\n\n // Calculate duration\n const formatDuration = (startedAt: string | undefined, completedAt: string | undefined): string => {\n if (!startedAt) return \"-\"\n const start = new Date(startedAt)\n const end = completedAt ? new Date(completedAt) : new Date()\n const diffMs = end.getTime() - start.getTime()\n const diffMins = Math.floor(diffMs / 60000)\n const diffHours = Math.floor(diffMins / 60)\n const remainingMins = diffMins % 60\n\n if (diffHours > 0) {\n return `${diffHours}h ${remainingMins}m`\n }\n return `${diffMins}m`\n }\n\n // Status style configuration (consistent with scan-history-columns)\n const SCAN_STATUS_STYLES: Record = {\n running: \"bg-[#d29922]/10 text-[#d29922] border-[#d29922]/20\",\n cancelled: \"bg-[#848d97]/10 text-[#848d97] border-[#848d97]/20\",\n completed: \"bg-[#238636]/10 text-[#238636] border-[#238636]/20 dark:text-[#3fb950]\",\n failed: \"bg-[#da3633]/10 text-[#da3633] border-[#da3633]/20 dark:text-[#f85149]\",\n initiated: \"bg-[#d29922]/10 text-[#d29922] border-[#d29922]/20\",\n pending: \"bg-[#d29922]/10 text-[#d29922] border-[#d29922]/20\",\n }\n\n // Get status icon\n const getStatusIcon = (status: string) => {\n switch (status) {\n case \"completed\":\n return { icon: CheckCircle2, animate: false }\n case \"running\":\n return { icon: Loader2, animate: true }\n case \"failed\":\n return { icon: XCircle, animate: false }\n case \"cancelled\":\n return { icon: XCircle, animate: false }\n case \"pending\":\n case \"initiated\":\n return { icon: Loader2, animate: true }\n default:\n return { icon: Clock, animate: false }\n }\n }\n\n if (isLoading) {\n return (\n
\n {/* Stats cards skeleton */}\n
\n {[...Array(6)].map((_, i) => (\n \n \n \n \n \n \n \n \n \n ))}\n
\n
\n )\n }\n\n if (error || !scan) {\n return (\n
\n \n

{t(\"loadError\")}

\n
\n )\n }\n\n // Use type assertion for extended properties\n const scanAny = scan as any\n const summary = scanAny.summary || {}\n const vulnSummary = summary.vulnerabilities || { total: 0, critical: 0, high: 0, medium: 0, low: 0 }\n const statusIconConfig = getStatusIcon(scan.status)\n const StatusIcon = statusIconConfig.icon\n const statusStyle = SCAN_STATUS_STYLES[scan.status] || \"bg-muted text-muted-foreground\"\n const targetId = scanAny.target // Target ID\n const targetName = scan.targetName // Target name\n const startedAt = scanAny.startedAt || scan.createdAt\n const completedAt = scanAny.completedAt\n\n const assetCards = [\n {\n title: t(\"cards.websites\"),\n value: summary.websites || 0,\n icon: Globe,\n href: `/scan/history/${scanId}/websites/`,\n },\n {\n title: t(\"cards.subdomains\"),\n value: summary.subdomains || 0,\n icon: Network,\n href: `/scan/history/${scanId}/subdomain/`,\n },\n {\n title: t(\"cards.ips\"),\n value: summary.ips || 0,\n icon: Server,\n href: `/scan/history/${scanId}/ip-addresses/`,\n },\n {\n title: t(\"cards.urls\"),\n value: summary.endpoints || 0,\n icon: Link2,\n href: `/scan/history/${scanId}/endpoints/`,\n },\n {\n title: t(\"cards.directories\"),\n value: summary.directories || 0,\n icon: FolderOpen,\n href: `/scan/history/${scanId}/directories/`,\n },\n ]\n\n return (\n
\n {/* Scan info + Status */}\n
\n
\n {/* Target */}\n {targetId && targetName && (\n \n \n {targetName}\n \n )}\n {/* Started at */}\n
\n \n {t(\"startedAt\")}: {formatDate(startedAt)}\n
\n {/* Duration */}\n
\n \n {t(\"duration\")}: {formatDuration(startedAt, completedAt)}\n
\n {/* Engine */}\n {scan.engineNames && scan.engineNames.length > 0 && (\n
\n \n {scan.engineNames.join(\", \")}\n
\n )}\n {/* Worker */}\n {scan.workerName && (\n
\n \n {scan.workerName}\n
\n )}\n
\n {/* Status badge */}\n \n \n {tStatus(scan.status)}\n \n
\n\n {/* Asset statistics cards */}\n
\n

{t(\"assetsTitle\")}

\n
\n {assetCards.map((card) => (\n \n \n \n {card.title}\n \n \n \n
{card.value.toLocaleString()}
\n \n \n \n ))}\n
\n
\n\n {/* Stage Progress + Logs - Left-Right Split Layout */}\n
\n {/* Left Column: Stage Progress + Vulnerability Stats */}\n
\n {/* Stage Progress */}\n \n \n {t(\"stagesTitle\")}\n {scan.stageProgress && (\n \n {Object.values(scan.stageProgress).filter((p: any) => p.status === \"completed\").length}/\n {Object.keys(scan.stageProgress).length} {t(\"stagesCompleted\")}\n \n )}\n \n \n {scan.stageProgress && Object.keys(scan.stageProgress).length > 0 ? (\n
\n {Object.entries(scan.stageProgress)\n .sort(([, a], [, b]) => {\n const progressA = a as any\n const progressB = b as any\n const priorityA = STAGE_STATUS_PRIORITY[progressA.status as StageStatus] ?? 99\n const priorityB = STAGE_STATUS_PRIORITY[progressB.status as StageStatus] ?? 99\n if (priorityA !== priorityB) {\n return priorityA - priorityB\n }\n return (progressA.order ?? 0) - (progressB.order ?? 0)\n })\n .map(([stageName, progress]) => {\n const stageProgress = progress as any\n const isRunning = stageProgress.status === \"running\"\n return (\n \n
\n \n \n {tProgress(`stages.${stageName}`)}\n \n
\n \n {stageProgress.status === \"completed\" && stageProgress.duration\n ? formatStageDuration(stageProgress.duration)\n : stageProgress.status === \"running\"\n ? tProgress(\"stage_running\")\n : stageProgress.status === \"pending\"\n ? \"--\"\n : \"\"}\n \n
\n )\n })}\n
\n ) : (\n
\n {t(\"noStages\")}\n
\n )}\n \n \n\n {/* Vulnerability Stats - Compact */}\n \n \n \n {t(\"vulnerabilitiesTitle\")}\n \n \n \n
\n
\n
\n {vulnSummary.critical}\n
\n
\n
\n {vulnSummary.high}\n
\n
\n
\n {vulnSummary.medium}\n
\n
\n
\n {vulnSummary.low}\n
\n \n {t(\"totalVulns\", { count: vulnSummary.total })}\n \n
\n \n \n \n
\n\n {/* Right Column: Logs / Config */}\n
\n {/* Tab Header */}\n
\n setActiveTab(v as 'logs' | 'config')}>\n \n {t(\"logsTitle\")}\n {t(\"configTitle\")}\n \n \n {/* Auto-refresh toggle (only for logs tab when running) */}\n {activeTab === 'logs' && isRunning && (\n
\n \n \n
\n )}\n
\n \n {/* Tab Content */}\n
\n {activeTab === 'logs' ? (\n \n ) : (\n
\n {scan.yamlConfiguration ? (\n {}}\n disabled={true}\n height=\"100%\"\n />\n ) : (\n
\n {t(\"noConfig\")}\n
\n )}\n
\n )}\n
\n \n {/* Bottom status bar (only for logs tab) */}\n {activeTab === 'logs' && (\n
\n {logs.length} 条记录\n {isRunning && autoRefresh && (\n <>\n \n \n \n 每 3 秒刷新\n \n \n )}\n
\n )}\n
\n
\n
\n )\n}\n" }, { "path": "frontend/components/scan/initiate-scan-dialog.tsx", "content": "\"use client\"\n\nimport React, { useState, useMemo, useCallback } from \"react\"\nimport { Play, Server, Settings, ChevronLeft, ChevronRight } from \"lucide-react\"\nimport { useTranslations } from \"next-intl\"\n\nimport { Button } from \"@/components/ui/button\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogHeader,\n DialogTitle,\n} from \"@/components/ui/dialog\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { EnginePresetSelector } from \"./engine-preset-selector\"\nimport { ScanConfigEditor } from \"./scan-config-editor\"\n\nimport type { Organization } from \"@/types/organization.types\"\n\nimport { initiateScan } from \"@/services/scan.service\"\nimport { toast } from \"sonner\"\nimport { useEngines } from \"@/hooks/use-engines\"\n\ninterface InitiateScanDialogProps {\n organization?: Organization | null\n organizationId?: number\n targetId?: number\n targetName?: string\n open: boolean\n onOpenChange: (open: boolean) => void\n onSuccess?: () => void\n}\n\nexport function InitiateScanDialog({\n organization,\n organizationId,\n targetId,\n targetName,\n open,\n onOpenChange,\n onSuccess,\n}: InitiateScanDialogProps) {\n const t = useTranslations(\"scan.initiate\")\n const tToast = useTranslations(\"toast\")\n const [step, setStep] = useState(1)\n const [selectedEngineIds, setSelectedEngineIds] = useState([])\n const [isSubmitting, setIsSubmitting] = useState(false)\n const [selectedPresetId, setSelectedPresetId] = useState(null)\n \n // Configuration state management\n const [configuration, setConfiguration] = useState(\"\")\n const [isConfigEdited, setIsConfigEdited] = useState(false)\n const [isYamlValid, setIsYamlValid] = useState(true)\n const [showOverwriteConfirm, setShowOverwriteConfirm] = useState(false)\n const [pendingConfigChange, setPendingConfigChange] = useState(null)\n\n const { data: engines } = useEngines()\n\n const steps = [\n { id: 1, title: t(\"steps.selectEngine\"), icon: Server },\n { id: 2, title: t(\"steps.editConfig\"), icon: Settings },\n ]\n\n const selectedEngines = useMemo(() => {\n if (!selectedEngineIds.length || !engines) return []\n return engines.filter((e) => selectedEngineIds.includes(e.id))\n }, [selectedEngineIds, engines])\n\n // Handle configuration change from preset selector (may need confirmation)\n const handlePresetConfigChange = useCallback((value: string) => {\n if (isConfigEdited && configuration !== value) {\n setPendingConfigChange(value)\n setShowOverwriteConfirm(true)\n } else {\n setConfiguration(value)\n setIsConfigEdited(false)\n }\n }, [isConfigEdited, configuration])\n\n // Handle manual config editing\n const handleManualConfigChange = useCallback((value: string) => {\n setConfiguration(value)\n setIsConfigEdited(true)\n }, [])\n\n const handleEngineIdsChange = useCallback((engineIds: number[]) => {\n setSelectedEngineIds(engineIds)\n }, [])\n\n const handleOverwriteConfirm = () => {\n if (pendingConfigChange !== null) {\n setConfiguration(pendingConfigChange)\n setIsConfigEdited(false)\n }\n setShowOverwriteConfirm(false)\n setPendingConfigChange(null)\n }\n\n const handleOverwriteCancel = () => {\n setShowOverwriteConfirm(false)\n setPendingConfigChange(null)\n }\n\n const handleYamlValidationChange = (isValid: boolean) => {\n setIsYamlValid(isValid)\n }\n\n const handleInitiate = async () => {\n if (selectedEngineIds.length === 0) {\n toast.error(tToast(\"noEngineSelected\"))\n return\n }\n if (!configuration.trim()) {\n toast.error(tToast(\"emptyConfig\"))\n return\n }\n if (!organizationId && !targetId) {\n toast.error(tToast(\"paramError\"), { description: tToast(\"paramErrorDesc\") })\n return\n }\n setIsSubmitting(true)\n try {\n const response = await initiateScan({\n organizationId,\n targetId,\n configuration,\n engineIds: selectedEngineIds,\n engineNames: selectedEngines.map(e => e.name),\n })\n \n // 后端返回 201 说明成功创建扫描任务\n const scanCount = response.scans?.length || response.count || 0\n toast.success(tToast(\"scanInitiated\"), {\n description: response.message || tToast(\"scanInitiatedDesc\", { count: scanCount }),\n })\n onSuccess?.()\n onOpenChange(false)\n setSelectedEngineIds([])\n setConfiguration(\"\")\n setIsConfigEdited(false)\n } catch (err: unknown) {\n console.error(\"Failed to initiate scan:\", err)\n const error = err as { response?: { data?: { error?: { code?: string; message?: string } } } }\n toast.error(tToast(\"initiateScanFailed\"), {\n description: error?.response?.data?.error?.message || (err instanceof Error ? err.message : tToast(\"unknownError\")),\n })\n } finally {\n setIsSubmitting(false)\n }\n }\n\n const handleOpenChange = (newOpen: boolean) => {\n if (!isSubmitting) {\n onOpenChange(newOpen)\n if (!newOpen) {\n setStep(1)\n setSelectedPresetId(null)\n setSelectedEngineIds([])\n setConfiguration(\"\")\n setIsConfigEdited(false)\n }\n }\n }\n\n const canProceedToStep2 = selectedPresetId !== null && selectedEngineIds.length > 0\n const canSubmit = selectedEngineIds.length > 0 && configuration.trim().length > 0 && isYamlValid\n\n return (\n \n \n \n
\n
\n \n \n {t(\"title\")}\n \n \n {targetName ? (\n <>{t(\"targetDesc\")} {targetName}\n ) : (\n <>{t(\"orgDesc\")} {organization?.name}\n )}\n \n
\n {/* Step indicator */}\n
\n {t(\"stepIndicator\", { current: step, total: steps.length })}\n
\n
\n \n\n
\n {/* Step 1: Select preset/engines */}\n {step === 1 && engines && (\n \n )}\n\n {/* Step 2: Edit configuration */}\n {step === 2 && (\n \n )}\n
\n\n
\n
\n {step === 1 && selectedEngineIds.length > 0 && (\n {t(\"selectedCount\", { count: selectedEngineIds.length })}\n )}\n
\n
\n {step > 1 && (\n \n )}\n {step === 1 ? (\n \n ) : (\n \n )}\n
\n
\n \n \n {/* Overwrite confirmation dialog */}\n \n \n \n {t(\"overwriteConfirm.title\")}\n \n {t(\"overwriteConfirm.description\")}\n \n \n \n \n {t(\"overwriteConfirm.cancel\")}\n \n \n {t(\"overwriteConfirm.confirm\")}\n \n \n \n \n \n )\n}\n" }, { "path": "frontend/components/scan/quick-scan-dialog.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { useTranslations } from \"next-intl\"\nimport {\n Dialog,\n DialogContent,\n DialogDescription,\n DialogFooter,\n DialogHeader,\n DialogTitle,\n DialogTrigger,\n} from \"@/components/ui/dialog\"\nimport {\n AlertDialog,\n AlertDialogAction,\n AlertDialogCancel,\n AlertDialogContent,\n AlertDialogDescription,\n AlertDialogFooter,\n AlertDialogHeader,\n AlertDialogTitle,\n} from \"@/components/ui/alert-dialog\"\nimport { Button } from \"@/components/ui/button\"\nimport { Textarea } from \"@/components/ui/textarea\"\nimport { LoadingSpinner } from \"@/components/loading-spinner\"\nimport { cn } from \"@/lib/utils\"\nimport { toast } from \"sonner\"\nimport { Zap, AlertCircle, ChevronRight, ChevronLeft, Target, Server, Settings } from \"lucide-react\"\nimport { quickScan } from \"@/services/scan.service\"\nimport { TargetValidator } from \"@/lib/target-validator\"\nimport { useEngines } from \"@/hooks/use-engines\"\nimport { EnginePresetSelector } from \"./engine-preset-selector\"\nimport { ScanConfigEditor } from \"./scan-config-editor\"\n\ninterface QuickScanDialogProps {\n trigger?: React.ReactNode\n}\n\nexport function QuickScanDialog({ trigger }: QuickScanDialogProps) {\n const t = useTranslations(\"quickScan\")\n const [open, setOpen] = React.useState(false)\n const [isSubmitting, setIsSubmitting] = React.useState(false)\n const [step, setStep] = React.useState(1)\n \n const [targetInput, setTargetInput] = React.useState(\"\")\n const [selectedEngineIds, setSelectedEngineIds] = React.useState([])\n const [selectedPresetId, setSelectedPresetId] = React.useState(null)\n \n // Configuration state management\n const [configuration, setConfiguration] = React.useState(\"\")\n const [isConfigEdited, setIsConfigEdited] = React.useState(false)\n const [isYamlValid, setIsYamlValid] = React.useState(true)\n const [showOverwriteConfirm, setShowOverwriteConfirm] = React.useState(false)\n const [pendingConfigChange, setPendingConfigChange] = React.useState(null)\n \n const { data: engines } = useEngines()\n \n const lineNumbersRef = React.useRef(null)\n \n const handleTextareaScroll = (e: React.UIEvent) => {\n if (lineNumbersRef.current) {\n lineNumbersRef.current.scrollTop = e.currentTarget.scrollTop\n }\n }\n \n const validationResults = React.useMemo(() => {\n const lines = targetInput.split('\\n')\n return TargetValidator.validateInputBatch(lines)\n }, [targetInput])\n \n const validInputs = validationResults.filter(r => r.isValid && !r.isEmptyLine)\n const invalidInputs = validationResults.filter(r => !r.isValid)\n const hasErrors = invalidInputs.length > 0\n \n const selectedEngines = React.useMemo(() => {\n if (!selectedEngineIds.length || !engines) return []\n return engines.filter(e => selectedEngineIds.includes(e.id))\n }, [selectedEngineIds, engines])\n \n const resetForm = () => {\n setTargetInput(\"\")\n setSelectedEngineIds([])\n setSelectedPresetId(null)\n setConfiguration(\"\")\n setIsConfigEdited(false)\n setStep(1)\n }\n \n const handleClose = (isOpen: boolean) => {\n setOpen(isOpen)\n if (!isOpen) resetForm()\n }\n \n // Handle configuration change from preset selector (may need confirmation)\n const handlePresetConfigChange = React.useCallback((value: string) => {\n if (isConfigEdited && configuration !== value) {\n setPendingConfigChange(value)\n setShowOverwriteConfirm(true)\n } else {\n setConfiguration(value)\n setIsConfigEdited(false)\n }\n }, [isConfigEdited, configuration])\n \n // Handle manual config editing\n const handleManualConfigChange = React.useCallback((value: string) => {\n setConfiguration(value)\n setIsConfigEdited(true)\n }, [])\n \n const handleEngineIdsChange = React.useCallback((engineIds: number[]) => {\n setSelectedEngineIds(engineIds)\n }, [])\n \n const handleOverwriteConfirm = () => {\n if (pendingConfigChange !== null) {\n setConfiguration(pendingConfigChange)\n setIsConfigEdited(false)\n }\n setShowOverwriteConfirm(false)\n setPendingConfigChange(null)\n }\n \n const handleOverwriteCancel = () => {\n setShowOverwriteConfirm(false)\n setPendingConfigChange(null)\n }\n \n const handleYamlValidationChange = (isValid: boolean) => {\n setIsYamlValid(isValid)\n }\n \n const canProceedToStep2 = validInputs.length > 0 && !hasErrors\n const canProceedToStep3 = selectedPresetId !== null && selectedEngineIds.length > 0\n const canSubmit = selectedEngineIds.length > 0 && configuration.trim().length > 0 && isYamlValid\n \n const handleNext = () => {\n if (step === 1 && canProceedToStep2) setStep(2)\n else if (step === 2 && canProceedToStep3) setStep(3)\n }\n \n const handleBack = () => {\n if (step > 1) setStep(step - 1)\n }\n \n const steps = [\n { id: 1, title: t(\"step1Title\"), icon: Target },\n { id: 2, title: t(\"step2Title\"), icon: Server },\n { id: 3, title: t(\"step3Title\"), icon: Settings },\n ]\n \n const handleSubmit = async () => {\n if (validInputs.length === 0) {\n toast.error(t(\"toast.noValidTarget\"))\n return\n }\n if (hasErrors) {\n toast.error(t(\"toast.hasInvalidInputs\", { count: invalidInputs.length }))\n return\n }\n if (selectedEngineIds.length === 0) {\n toast.error(t(\"toast.selectEngine\"))\n return\n }\n if (!configuration.trim()) {\n toast.error(t(\"toast.emptyConfig\"))\n return\n }\n \n const targets = validInputs.map(r => r.originalInput)\n \n setIsSubmitting(true)\n try {\n const response = await quickScan({\n targets: targets.map(name => ({ name })),\n configuration,\n engineIds: selectedEngineIds,\n engineNames: selectedEngines.map(e => e.name),\n })\n \n const { targetStats, scans, count } = response\n const scanCount = scans?.length || count || 0\n \n toast.success(t(\"toast.createSuccess\", { count: scanCount }), {\n description: targetStats.failed > 0 \n ? t(\"toast.createSuccessDesc\", { created: targetStats.created, failed: targetStats.failed })\n : undefined\n })\n handleClose(false)\n } catch (error: unknown) {\n const err = error as { response?: { data?: { error?: { code?: string; message?: string }; detail?: string } } }\n toast.error(err?.response?.data?.detail || err?.response?.data?.error?.message || t(\"toast.createFailed\"))\n } finally {\n setIsSubmitting(false)\n }\n }\n \n return (\n \n \n {trigger || (\n
\n
\n
\n
\n \n
\n )}\n \n \n \n
\n
\n \n \n {t(\"title\")}\n \n \n {t(\"description\")}\n \n
\n {/* Step indicator */}\n
\n {t(\"stepIndicator\", { current: step, total: steps.length })}\n
\n
\n \n\n
\n {/* Step 1: Target input */}\n {step === 1 && (\n
\n
\n

\n {t(\"scanTargets\")}\n ：{t(\"supportedFormats\")}\n

\n
\n
\n
\n
\n
\n {Array.from({ length: Math.max(targetInput.split('\\n').length, 20) }, (_, i) => (\n
{i + 1}
\n ))}\n
\n
\n
\n