Repository: yyhuni/xingrin Branch: main Commit: 2a0e09c4eea6 Files: 828 Total size: 11.1 MB Directory structure: gitextract__pp8fuf4/ ├── .dockerignore ├── .github/ │ └── workflows/ │ └── docker-build.yml ├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── SECURITY.md ├── VERSION ├── backend/ │ ├── .gitignore │ ├── apps/ │ │ ├── __init__.py │ │ ├── asset/ │ │ │ ├── __init__.py │ │ │ ├── apps.py │ │ │ ├── dtos/ │ │ │ │ ├── __init__.py │ │ │ │ ├── asset/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── directory_dto.py │ │ │ │ │ ├── endpoint_dto.py │ │ │ │ │ ├── host_port_mapping_dto.py │ │ │ │ │ ├── ip_address_dto.py │ │ │ │ │ ├── port_dto.py │ │ │ │ │ ├── subdomain_dto.py │ │ │ │ │ ├── vulnerability_dto.py │ │ │ │ │ └── website_dto.py │ │ │ │ └── snapshot/ │ │ │ │ ├── __init__.py │ │ │ │ ├── directory_snapshot_dto.py │ │ │ │ ├── endpoint_snapshot_dto.py │ │ │ │ ├── host_port_mapping_snapshot_dto.py │ │ │ │ ├── subdomain_snapshot_dto.py │ │ │ │ ├── vulnerability_snapshot_dto.py │ │ │ │ └── website_snapshot_dto.py │ │ │ ├── migrations/ │ │ │ │ ├── 0001_initial.py │ │ │ │ ├── 0002_create_search_views.py │ │ │ │ ├── 0003_add_screenshot_models.py │ │ │ │ ├── 0004_add_status_code_to_screenshot.py │ │ │ │ └── __init__.py │ │ │ ├── models/ │ │ │ │ ├── __init__.py │ │ │ │ ├── asset_models.py │ │ │ │ ├── screenshot_models.py │ │ │ │ ├── snapshot_models.py │ │ │ │ └── statistics_models.py │ │ │ ├── repositories/ │ │ │ │ ├── __init__.py │ │ │ │ ├── asset/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── directory_repository.py │ │ │ │ │ ├── endpoint_repository.py │ │ │ │ │ ├── host_port_mapping_repository.py │ │ │ │ │ ├── subdomain_repository.py │ │ │ │ │ └── website_repository.py │ │ │ │ ├── snapshot/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── directory_snapshot_repository.py │ │ │ │ │ ├── endpoint_snapshot_repository.py │ │ │ │ │ ├── host_port_mapping_snapshot_repository.py │ │ │ │ │ ├── subdomain_snapshot_repository.py │ │ │ │ │ ├── vulnerability_snapshot_repository.py │ │ │ │ │ └── website_snapshot_repository.py │ │ │ │ └── statistics_repository.py │ │ │ ├── serializers.py │ │ │ ├── services/ │ │ │ │ ├── __init__.py │ │ │ │ ├── asset/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── directory_service.py │ │ │ │ │ ├── endpoint_service.py │ │ │ │ │ ├── host_port_mapping_service.py │ │ │ │ │ ├── subdomain_service.py │ │ │ │ │ ├── vulnerability_service.py │ │ │ │ │ └── website_service.py │ │ │ │ ├── playwright_screenshot_service.py │ │ │ │ ├── screenshot_service.py │ │ │ │ ├── search_service.py │ │ │ │ ├── snapshot/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── directory_snapshots_service.py │ │ │ │ │ ├── endpoint_snapshots_service.py │ │ │ │ │ ├── host_port_mapping_snapshots_service.py │ │ │ │ │ ├── subdomain_snapshots_service.py │ │ │ │ │ ├── vulnerability_snapshots_service.py │ │ │ │ │ └── website_snapshots_service.py │ │ │ │ └── statistics_service.py │ │ │ ├── urls.py │ │ │ └── views/ │ │ │ ├── __init__.py │ │ │ ├── asset_views.py │ │ │ └── search_views.py │ │ ├── common/ │ │ │ ├── __init__.py │ │ │ ├── apps.py │ │ │ ├── authentication.py │ │ │ ├── container_bootstrap.py │ │ │ ├── decorators/ │ │ │ │ ├── __init__.py │ │ │ │ └── db_connection.py │ │ │ ├── definitions.py │ │ │ ├── error_codes.py │ │ │ ├── exception_handlers.py │ │ │ ├── management/ │ │ │ │ └── commands/ │ │ │ │ ├── db_health_check.py │ │ │ │ ├── db_monitor.py │ │ │ │ └── init_admin.py │ │ │ ├── migrations/ │ │ │ │ ├── 0001_initial.py │ │ │ │ └── __init__.py │ │ │ ├── models/ │ │ │ │ ├── __init__.py │ │ │ │ └── blacklist.py │ │ │ ├── normalizer.py │ │ │ ├── pagination.py │ │ │ ├── permissions.py │ │ │ ├── prefect_django_setup.py │ │ │ ├── response_helpers.py │ │ │ ├── serializers/ │ │ │ │ ├── __init__.py │ │ │ │ └── blacklist_serializers.py │ │ │ ├── services/ │ │ │ │ ├── __init__.py │ │ │ │ ├── blacklist_service.py │ │ │ │ └── system_log_service.py │ │ │ ├── signals.py │ │ │ ├── urls.py │ │ │ ├── utils/ │ │ │ │ ├── __init__.py │ │ │ │ ├── blacklist_filter.py │ │ │ │ ├── csv_utils.py │ │ │ │ ├── dedup.py │ │ │ │ ├── filter_utils.py │ │ │ │ └── hash.py │ │ │ ├── validators.py │ │ │ ├── views/ │ │ │ │ ├── __init__.py │ │ │ │ ├── auth_views.py │ │ │ │ ├── blacklist_views.py │ │ │ │ ├── health_views.py │ │ │ │ ├── system_log_views.py │ │ │ │ └── version_views.py │ │ │ └── websocket_auth.py │ │ ├── engine/ │ │ │ ├── __init__.py │ │ │ ├── apps.py │ │ │ ├── consumers/ │ │ │ │ ├── __init__.py │ │ │ │ └── worker_deploy_consumer.py │ │ │ ├── management/ │ │ │ │ ├── __init__.py │ │ │ │ └── commands/ │ │ │ │ ├── __init__.py │ │ │ │ ├── init_default_engine.py │ │ │ │ ├── init_fingerprints.py │ │ │ │ ├── init_nuclei_templates.py │ │ │ │ └── init_wordlists.py │ │ │ ├── migrations/ │ │ │ │ ├── 0001_initial.py │ │ │ │ └── __init__.py │ │ │ ├── models/ │ │ │ │ ├── __init__.py │ │ │ │ ├── engine.py │ │ │ │ └── fingerprints.py │ │ │ ├── repositories/ │ │ │ │ ├── __init__.py │ │ │ │ ├── django_engine_repository.py │ │ │ │ ├── django_wordlist_repository.py │ │ │ │ ├── django_worker_repository.py │ │ │ │ └── nuclei_repo_repository.py │ │ │ ├── routing.py │ │ │ ├── scheduler.py │ │ │ ├── serializers/ │ │ │ │ ├── __init__.py │ │ │ │ ├── engine_serializer.py │ │ │ │ ├── fingerprints/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── arl.py │ │ │ │ │ ├── ehole.py │ │ │ │ │ ├── fingerprinthub.py │ │ │ │ │ ├── fingers.py │ │ │ │ │ ├── goby.py │ │ │ │ │ └── wappalyzer.py │ │ │ │ ├── nuclei_template_repo_serializer.py │ │ │ │ ├── wordlist_serializer.py │ │ │ │ └── worker_serializer.py │ │ │ ├── services/ │ │ │ │ ├── __init__.py │ │ │ │ ├── deploy_service.py │ │ │ │ ├── engine_service.py │ │ │ │ ├── fingerprints/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── arl_service.py │ │ │ │ │ ├── base.py │ │ │ │ │ ├── ehole.py │ │ │ │ │ ├── fingerprinthub_service.py │ │ │ │ │ ├── fingers_service.py │ │ │ │ │ ├── goby.py │ │ │ │ │ └── wappalyzer.py │ │ │ │ ├── nuclei_template_repo_service.py │ │ │ │ ├── task_distributor.py │ │ │ │ ├── wordlist_service.py │ │ │ │ ├── worker_load_service.py │ │ │ │ └── worker_service.py │ │ │ ├── urls.py │ │ │ └── views/ │ │ │ ├── __init__.py │ │ │ ├── engine_views.py │ │ │ ├── fingerprints/ │ │ │ │ ├── __init__.py │ │ │ │ ├── arl.py │ │ │ │ ├── base.py │ │ │ │ ├── ehole.py │ │ │ │ ├── fingerprinthub.py │ │ │ │ ├── fingers.py │ │ │ │ ├── goby.py │ │ │ │ └── wappalyzer.py │ │ │ ├── nuclei_template_repo_views.py │ │ │ ├── wordlist_views.py │ │ │ └── worker_views.py │ │ ├── scan/ │ │ │ ├── __init__.py │ │ │ ├── apps.py │ │ │ ├── configs/ │ │ │ │ ├── command_templates.py │ │ │ │ └── engine_config_example.yaml │ │ │ ├── flows/ │ │ │ │ ├── __init__.py │ │ │ │ ├── directory_scan_flow.py │ │ │ │ ├── fingerprint_detect_flow.py │ │ │ │ ├── initiate_scan_flow.py │ │ │ │ ├── port_scan_flow.py │ │ │ │ ├── screenshot_flow.py │ │ │ │ ├── site_scan_flow.py │ │ │ │ ├── subdomain_discovery_flow.py │ │ │ │ ├── url_fetch/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── domain_name_url_fetch_flow.py │ │ │ │ │ ├── main_flow.py │ │ │ │ │ ├── sites_url_fetch_flow.py │ │ │ │ │ └── utils.py │ │ │ │ └── vuln_scan/ │ │ │ │ ├── __init__.py │ │ │ │ ├── endpoints_vuln_scan_flow.py │ │ │ │ ├── main_flow.py │ │ │ │ └── utils.py │ │ │ ├── handlers/ │ │ │ │ ├── __init__.py │ │ │ │ ├── initiate_scan_flow_handlers.py │ │ │ │ └── scan_flow_handlers.py │ │ │ ├── management/ │ │ │ │ └── __init__.py │ │ │ ├── migrations/ │ │ │ │ ├── 0001_initial.py │ │ │ │ ├── 0002_add_cached_screenshots_count.py │ │ │ │ ├── 0003_add_wecom_fields.py │ │ │ │ └── __init__.py │ │ │ ├── models/ │ │ │ │ ├── __init__.py │ │ │ │ ├── scan_log_model.py │ │ │ │ ├── scan_models.py │ │ │ │ ├── scheduled_scan_model.py │ │ │ │ └── subfinder_provider_settings_model.py │ │ │ ├── notifications/ │ │ │ │ ├── __init__.py │ │ │ │ ├── consumers.py │ │ │ │ ├── models.py │ │ │ │ ├── receivers.py │ │ │ │ ├── repositories.py │ │ │ │ ├── routing.py │ │ │ │ ├── serializers.py │ │ │ │ ├── services.py │ │ │ │ ├── types.py │ │ │ │ ├── urls.py │ │ │ │ └── views.py │ │ │ ├── orchestrators/ │ │ │ │ ├── __init__.py │ │ │ │ └── flow_orchestrator.py │ │ │ ├── providers/ │ │ │ │ ├── __init__.py │ │ │ │ ├── base.py │ │ │ │ ├── database_provider.py │ │ │ │ ├── list_provider.py │ │ │ │ ├── pipeline_provider.py │ │ │ │ ├── snapshot_provider.py │ │ │ │ └── tests/ │ │ │ │ ├── __init__.py │ │ │ │ ├── test_common_properties.py │ │ │ │ ├── test_database_provider.py │ │ │ │ ├── test_list_provider.py │ │ │ │ ├── test_pipeline_provider.py │ │ │ │ └── test_snapshot_provider.py │ │ │ ├── repositories/ │ │ │ │ ├── __init__.py │ │ │ │ ├── django_scan_repository.py │ │ │ │ └── scheduled_scan_repository.py │ │ │ ├── scripts/ │ │ │ │ ├── __init__.py │ │ │ │ ├── run_cleanup.py │ │ │ │ ├── run_delete_scans.py │ │ │ │ ├── run_initiate_scan.py │ │ │ │ └── run_scheduled_scan.py │ │ │ ├── serializers/ │ │ │ │ ├── __init__.py │ │ │ │ ├── mixins.py │ │ │ │ ├── scan_log_serializers.py │ │ │ │ ├── scan_serializers.py │ │ │ │ ├── scheduled_scan_serializers.py │ │ │ │ └── subfinder_provider_settings_serializers.py │ │ │ ├── services/ │ │ │ │ ├── __init__.py │ │ │ │ ├── quick_scan_service.py │ │ │ │ ├── scan_control_service.py │ │ │ │ ├── scan_creation_service.py │ │ │ │ ├── scan_service.py │ │ │ │ ├── scan_state_service.py │ │ │ │ ├── scan_stats_service.py │ │ │ │ ├── scheduled_scan_service.py │ │ │ │ ├── subfinder_provider_config_service.py │ │ │ │ └── target_export_service.py │ │ │ ├── tasks/ │ │ │ │ ├── __init__.py │ │ │ │ ├── directory_scan/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── export_sites_task.py │ │ │ │ │ └── run_and_stream_save_directories_task.py │ │ │ │ ├── fingerprint_detect/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── export_urls_task.py │ │ │ │ │ └── run_xingfinger_task.py │ │ │ │ ├── port_scan/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── export_hosts_task.py │ │ │ │ │ ├── run_and_stream_save_ports_task.py │ │ │ │ │ └── types.py │ │ │ │ ├── screenshot/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── capture_screenshots_task.py │ │ │ │ ├── site_scan/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── export_site_urls_task.py │ │ │ │ │ └── run_and_stream_save_websites_task.py │ │ │ │ ├── subdomain_discovery/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── merge_and_validate_task.py │ │ │ │ │ ├── run_subdomain_discovery_task.py │ │ │ │ │ └── save_domains_task.py │ │ │ │ ├── tests/ │ │ │ │ │ └── test_task_backward_compatibility.py │ │ │ │ ├── url_fetch/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── clean_urls_task.py │ │ │ │ │ ├── export_sites_task.py │ │ │ │ │ ├── merge_and_deduplicate_urls_task.py │ │ │ │ │ ├── run_and_stream_save_urls_task.py │ │ │ │ │ ├── run_url_fetcher_task.py │ │ │ │ │ └── save_urls_task.py │ │ │ │ └── vuln_scan/ │ │ │ │ ├── __init__.py │ │ │ │ ├── export_endpoints_task.py │ │ │ │ ├── run_and_stream_save_dalfox_vulns_task.py │ │ │ │ ├── run_and_stream_save_nuclei_vulns_task.py │ │ │ │ └── run_vuln_tool_task.py │ │ │ ├── urls.py │ │ │ ├── utils/ │ │ │ │ ├── __init__.py │ │ │ │ ├── command_builder.py │ │ │ │ ├── command_executor.py │ │ │ │ ├── config_merger.py │ │ │ │ ├── config_parser.py │ │ │ │ ├── directory_cleanup.py │ │ │ │ ├── fingerprint_helpers.py │ │ │ │ ├── nuclei_helpers.py │ │ │ │ ├── performance.py │ │ │ │ ├── system_load.py │ │ │ │ ├── user_logger.py │ │ │ │ ├── wordlist_helpers.py │ │ │ │ └── workspace_utils.py │ │ │ └── views/ │ │ │ ├── __init__.py │ │ │ ├── scan_log_views.py │ │ │ ├── scan_views.py │ │ │ ├── scheduled_scan_views.py │ │ │ └── subfinder_provider_settings_views.py │ │ └── targets/ │ │ ├── __init__.py │ │ ├── apps.py │ │ ├── migrations/ │ │ │ ├── 0001_initial.py │ │ │ └── __init__.py │ │ ├── models.py │ │ ├── repositories/ │ │ │ ├── __init__.py │ │ │ ├── django_organization_repository.py │ │ │ └── django_target_repository.py │ │ ├── scripts/ │ │ │ ├── __init__.py │ │ │ ├── run_delete_organizations.py │ │ │ └── run_delete_targets.py │ │ ├── serializers.py │ │ ├── services/ │ │ │ ├── __init__.py │ │ │ ├── organization_service.py │ │ │ └── target_service.py │ │ ├── urls.py │ │ └── views.py │ ├── config/ │ │ ├── __init__.py │ │ ├── asgi.py │ │ ├── logging_config.py │ │ ├── settings.py │ │ └── urls.py │ ├── fingerprints/ │ │ ├── ARL.yaml │ │ ├── ehole.json │ │ ├── fingerprinthub_web.json │ │ ├── fingers_http.json │ │ ├── goby.json │ │ └── wappalyzer.json │ ├── manage.py │ ├── pyproject.toml │ ├── requirements.txt │ ├── resources/ │ │ └── resolvers.txt │ ├── scripts/ │ │ ├── generate_test_data_sql.py │ │ ├── performance/ │ │ │ ├── monitor_pg_performance.sh │ │ │ ├── pg_stats_after_test.sql │ │ │ ├── pg_stats_before_test.sql │ │ │ └── start_performance_test.sh │ │ └── worker-deploy/ │ │ ├── agent.sh │ │ ├── bootstrap.sh │ │ ├── install.sh │ │ ├── start-agent.sh │ │ └── uninstall.sh │ └── wordlist/ │ ├── dir_default.txt │ └── subdomains-top1million-110000.txt ├── docker/ │ ├── agent/ │ │ └── Dockerfile │ ├── docker-compose.dev.yml │ ├── docker-compose.yml │ ├── frontend/ │ │ └── Dockerfile │ ├── nginx/ │ │ ├── Dockerfile │ │ ├── nginx.conf │ │ └── ssl/ │ │ └── README.md │ ├── postgres/ │ │ ├── Dockerfile │ │ └── init-user-db.sh │ ├── restart.sh │ ├── scripts/ │ │ ├── common.sh │ │ ├── init-data.sh │ │ ├── install-pg-ivm.sh │ │ ├── setup-swap.sh │ │ ├── setup-system-monitor.sh │ │ └── test-pg-ivm.sh │ ├── server/ │ │ ├── Dockerfile │ │ └── start.sh │ ├── start.sh │ ├── stop.sh │ └── worker/ │ └── Dockerfile ├── docker-push.sh ├── docs/ │ ├── README.md │ ├── nuclei-template-architecture.md │ ├── plans/ │ │ ├── 2026-03-08-oss-readiness-design.md │ │ └── 2026-03-08-oss-readiness.md │ ├── quick-start.md │ ├── scan-flow-architecture.md │ ├── version-management.md │ └── wordlist-architecture.md ├── frontend/ │ ├── .gitignore │ ├── app/ │ │ ├── [locale]/ │ │ │ ├── dashboard/ │ │ │ │ ├── data.json │ │ │ │ └── page.tsx │ │ │ ├── layout.tsx │ │ │ ├── login/ │ │ │ │ ├── layout.tsx │ │ │ │ └── page.tsx │ │ │ ├── organization/ │ │ │ │ ├── [id]/ │ │ │ │ │ └── page.tsx │ │ │ │ └── page.tsx │ │ │ ├── page.tsx │ │ │ ├── scan/ │ │ │ │ ├── engine/ │ │ │ │ │ └── page.tsx │ │ │ │ ├── history/ │ │ │ │ │ ├── [id]/ │ │ │ │ │ │ ├── directories/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ ├── endpoints/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ ├── ip-addresses/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ ├── layout.tsx │ │ │ │ │ │ ├── overview/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ ├── page.tsx │ │ │ │ │ │ ├── screenshots/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ ├── subdomain/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ ├── vulnerabilities/ │ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ │ └── websites/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ └── page.tsx │ │ │ │ └── scheduled/ │ │ │ │ └── page.tsx │ │ │ ├── search/ │ │ │ │ └── page.tsx │ │ │ ├── settings/ │ │ │ │ ├── api-keys/ │ │ │ │ │ └── page.tsx │ │ │ │ ├── blacklist/ │ │ │ │ │ └── page.tsx │ │ │ │ ├── notifications/ │ │ │ │ │ └── page.tsx │ │ │ │ ├── system-logs/ │ │ │ │ │ └── page.tsx │ │ │ │ └── workers/ │ │ │ │ └── page.tsx │ │ │ ├── target/ │ │ │ │ ├── [id]/ │ │ │ │ │ ├── details/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── directories/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── endpoints/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── ip-addresses/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── layout.tsx │ │ │ │ │ ├── overview/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── page.tsx │ │ │ │ │ ├── screenshots/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── settings/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── subdomain/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── vulnerabilities/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ └── websites/ │ │ │ │ │ └── page.tsx │ │ │ │ └── page.tsx │ │ │ ├── tools/ │ │ │ │ ├── config/ │ │ │ │ │ ├── custom/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── opensource/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ └── page.tsx │ │ │ │ ├── fingerprints/ │ │ │ │ │ ├── arl/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── ehole/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── fingerprinthub/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── fingers/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── goby/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ ├── layout.tsx │ │ │ │ │ ├── page.tsx │ │ │ │ │ └── wappalyzer/ │ │ │ │ │ └── page.tsx │ │ │ │ ├── nuclei/ │ │ │ │ │ ├── [repoId]/ │ │ │ │ │ │ └── page.tsx │ │ │ │ │ └── page.tsx │ │ │ │ ├── page.tsx │ │ │ │ └── wordlists/ │ │ │ │ └── page.tsx │ │ │ └── vulnerabilities/ │ │ │ └── page.tsx │ │ ├── globals.css │ │ └── layout.tsx │ ├── components/ │ │ ├── about-dialog.tsx │ │ ├── app-sidebar.tsx │ │ ├── auth/ │ │ │ ├── auth-guard.tsx │ │ │ ├── auth-layout.tsx │ │ │ ├── change-password-dialog.tsx │ │ │ └── index.ts │ │ ├── color-theme-switcher.tsx │ │ ├── common/ │ │ │ ├── bulk-add-urls-dialog.tsx │ │ │ └── smart-filter-input.tsx │ │ ├── dashboard/ │ │ │ ├── asset-distribution-chart.tsx │ │ │ ├── asset-trend-chart.tsx │ │ │ ├── dashboard-activity-tabs.tsx │ │ │ ├── dashboard-data-table.tsx │ │ │ ├── dashboard-scan-history.tsx │ │ │ ├── dashboard-scheduled-scans.tsx │ │ │ ├── dashboard-stat-cards.tsx │ │ │ ├── recent-vulnerabilities.tsx │ │ │ └── vuln-severity-chart.tsx │ │ ├── directories/ │ │ │ ├── directories-columns.tsx │ │ │ ├── directories-data-table.tsx │ │ │ └── directories-view.tsx │ │ ├── disk/ │ │ │ └── disk-stat-cards.tsx │ │ ├── endpoints/ │ │ │ ├── endpoints-columns.tsx │ │ │ ├── endpoints-data-table.tsx │ │ │ ├── endpoints-detail-view.tsx │ │ │ └── index.ts │ │ ├── fingerprints/ │ │ │ ├── arl-fingerprint-columns.tsx │ │ │ ├── arl-fingerprint-data-table.tsx │ │ │ ├── arl-fingerprint-dialog.tsx │ │ │ ├── arl-fingerprint-view.tsx │ │ │ ├── ehole-fingerprint-columns.tsx │ │ │ ├── ehole-fingerprint-data-table.tsx │ │ │ ├── ehole-fingerprint-dialog.tsx │ │ │ ├── ehole-fingerprint-view.tsx │ │ │ ├── fingerprinthub-fingerprint-columns.tsx │ │ │ ├── fingerprinthub-fingerprint-data-table.tsx │ │ │ ├── fingerprinthub-fingerprint-dialog.tsx │ │ │ ├── fingerprinthub-fingerprint-view.tsx │ │ │ ├── fingers-fingerprint-columns.tsx │ │ │ ├── fingers-fingerprint-data-table.tsx │ │ │ ├── fingers-fingerprint-dialog.tsx │ │ │ ├── fingers-fingerprint-view.tsx │ │ │ ├── goby-fingerprint-columns.tsx │ │ │ ├── goby-fingerprint-data-table.tsx │ │ │ ├── goby-fingerprint-dialog.tsx │ │ │ ├── goby-fingerprint-view.tsx │ │ │ ├── import-fingerprint-dialog.tsx │ │ │ ├── index.ts │ │ │ ├── wappalyzer-fingerprint-columns.tsx │ │ │ ├── wappalyzer-fingerprint-data-table.tsx │ │ │ ├── wappalyzer-fingerprint-dialog.tsx │ │ │ └── wappalyzer-fingerprint-view.tsx │ │ ├── ip-addresses/ │ │ │ ├── index.ts │ │ │ ├── ip-addresses-columns.tsx │ │ │ ├── ip-addresses-data-table.tsx │ │ │ └── ip-addresses-view.tsx │ │ ├── language-switcher.tsx │ │ ├── loading-spinner.tsx │ │ ├── nav-secondary.tsx │ │ ├── nav-system.tsx │ │ ├── nav-user.tsx │ │ ├── notifications/ │ │ │ ├── index.ts │ │ │ └── notification-drawer.tsx │ │ ├── organization/ │ │ │ ├── add-organization-dialog.tsx │ │ │ ├── edit-organization-dialog.tsx │ │ │ ├── index.ts │ │ │ ├── organization-columns.tsx │ │ │ ├── organization-data-table.tsx │ │ │ ├── organization-detail-view.tsx │ │ │ ├── organization-list.tsx │ │ │ └── targets/ │ │ │ ├── add-target-dialog.tsx │ │ │ ├── index.ts │ │ │ ├── link-target-dialog.tsx │ │ │ ├── targets-columns.tsx │ │ │ ├── targets-data-table.tsx │ │ │ └── targets-detail-view.tsx │ │ ├── providers/ │ │ │ ├── index.ts │ │ │ ├── query-provider.tsx │ │ │ ├── theme-provider.tsx │ │ │ └── ui-i18n-provider.tsx │ │ ├── route-prefetch.tsx │ │ ├── route-progress.tsx │ │ ├── scan/ │ │ │ ├── engine/ │ │ │ │ ├── engine-columns.tsx │ │ │ │ ├── engine-create-dialog.tsx │ │ │ │ ├── engine-data-table.tsx │ │ │ │ ├── engine-edit-dialog.tsx │ │ │ │ └── index.ts │ │ │ ├── engine-preset-selector.tsx │ │ │ ├── history/ │ │ │ │ ├── index.ts │ │ │ │ ├── scan-history-columns.tsx │ │ │ │ ├── scan-history-data-table.tsx │ │ │ │ ├── scan-history-list.tsx │ │ │ │ ├── scan-history-stat-cards.tsx │ │ │ │ └── scan-overview.tsx │ │ │ ├── initiate-scan-dialog.tsx │ │ │ ├── quick-scan-dialog.tsx │ │ │ ├── scan-config-editor.tsx │ │ │ ├── scan-log-list.tsx │ │ │ ├── scan-progress-dialog.tsx │ │ │ └── scheduled/ │ │ │ ├── create-scheduled-scan-dialog.tsx │ │ │ ├── edit-scheduled-scan-dialog.tsx │ │ │ ├── index.ts │ │ │ ├── scheduled-scan-columns.tsx │ │ │ └── scheduled-scan-data-table.tsx │ │ ├── screenshots/ │ │ │ └── screenshots-gallery.tsx │ │ ├── search/ │ │ │ ├── index.ts │ │ │ ├── search-page.tsx │ │ │ ├── search-pagination.tsx │ │ │ ├── search-result-card.tsx │ │ │ └── search-results-table.tsx │ │ ├── settings/ │ │ │ ├── system-logs/ │ │ │ │ ├── ansi-log-viewer.tsx │ │ │ │ ├── index.ts │ │ │ │ ├── log-toolbar.tsx │ │ │ │ └── system-logs-view.tsx │ │ │ └── workers/ │ │ │ ├── deploy-terminal-dialog.tsx │ │ │ ├── index.ts │ │ │ ├── worker-dialog.tsx │ │ │ └── worker-list.tsx │ │ ├── site-header.tsx │ │ ├── subdomains/ │ │ │ ├── bulk-add-subdomains-dialog.tsx │ │ │ ├── index.ts │ │ │ ├── subdomains-columns.tsx │ │ │ ├── subdomains-data-table.tsx │ │ │ └── subdomains-detail-view.tsx │ │ ├── target/ │ │ │ ├── add-target-dialog.tsx │ │ │ ├── all-targets-columns.tsx │ │ │ ├── all-targets-detail-view.tsx │ │ │ ├── index.ts │ │ │ ├── target-overview.tsx │ │ │ ├── target-settings.tsx │ │ │ └── targets-data-table.tsx │ │ ├── theme-toggle.tsx │ │ ├── tools/ │ │ │ ├── commands/ │ │ │ │ ├── commands-columns.tsx │ │ │ │ ├── commands-data-table.tsx │ │ │ │ └── index.ts │ │ │ ├── config/ │ │ │ │ ├── add-custom-tool-dialog.tsx │ │ │ │ ├── add-tool-dialog.tsx │ │ │ │ ├── custom-tools-list.tsx │ │ │ │ ├── index.ts │ │ │ │ ├── opensource-tools-list.tsx │ │ │ │ └── tool-card.tsx │ │ │ ├── index.ts │ │ │ ├── wordlist-edit-dialog.tsx │ │ │ └── wordlist-upload-dialog.tsx │ │ ├── ui/ │ │ │ ├── alert-dialog.tsx │ │ │ ├── alert.tsx │ │ │ ├── avatar.tsx │ │ │ ├── badge.tsx │ │ │ ├── button.tsx │ │ │ ├── calendar.tsx │ │ │ ├── card-grid-skeleton.tsx │ │ │ ├── card.tsx │ │ │ ├── chart.tsx │ │ │ ├── checkbox.tsx │ │ │ ├── collapsible.tsx │ │ │ ├── command.tsx │ │ │ ├── confirm-dialog.tsx │ │ │ ├── copyable-popover-content.tsx │ │ │ ├── data-table/ │ │ │ │ ├── column-header.tsx │ │ │ │ ├── column-resizer.tsx │ │ │ │ ├── expandable-cell.tsx │ │ │ │ ├── index.ts │ │ │ │ ├── pagination.tsx │ │ │ │ ├── toolbar.tsx │ │ │ │ └── unified-data-table.tsx │ │ │ ├── data-table-skeleton.tsx │ │ │ ├── datetime-picker.tsx │ │ │ ├── dialog.tsx │ │ │ ├── drawer.tsx │ │ │ ├── dropdown-menu.tsx │ │ │ ├── dropzone.tsx │ │ │ ├── field.tsx │ │ │ ├── form.tsx │ │ │ ├── hover-card.tsx │ │ │ ├── input.tsx │ │ │ ├── label.tsx │ │ │ ├── master-detail-skeleton.tsx │ │ │ ├── popover.tsx │ │ │ ├── progress.tsx │ │ │ ├── radio-group.tsx │ │ │ ├── scroll-area.tsx │ │ │ ├── select.tsx │ │ │ ├── separator.tsx │ │ │ ├── shadcn-io/ │ │ │ │ ├── banner/ │ │ │ │ │ └── index.tsx │ │ │ │ └── status/ │ │ │ │ └── index.tsx │ │ │ ├── sheet.tsx │ │ │ ├── sidebar.tsx │ │ │ ├── skeleton.tsx │ │ │ ├── sonner.tsx │ │ │ ├── spinner.tsx │ │ │ ├── switch.tsx │ │ │ ├── table.tsx │ │ │ ├── tabs.tsx │ │ │ ├── textarea.tsx │ │ │ ├── toggle-group.tsx │ │ │ ├── toggle.tsx │ │ │ ├── tooltip.tsx │ │ │ └── yaml-editor.tsx │ │ ├── vulnerabilities/ │ │ │ ├── index.ts │ │ │ ├── vulnerabilities-columns.tsx │ │ │ ├── vulnerabilities-data-table.tsx │ │ │ ├── vulnerabilities-detail-view.tsx │ │ │ └── vulnerability-detail-dialog.tsx │ │ └── websites/ │ │ ├── websites-columns.tsx │ │ ├── websites-data-table.tsx │ │ └── websites-view.tsx │ ├── components.json │ ├── eslint.config.mjs │ ├── hooks/ │ │ ├── use-api-key-settings.ts │ │ ├── use-auth.ts │ │ ├── use-color-theme.ts │ │ ├── use-commands.ts │ │ ├── use-dashboard.ts │ │ ├── use-directories.ts │ │ ├── use-disk.ts │ │ ├── use-endpoints.ts │ │ ├── use-engines.ts │ │ ├── use-fingerprints.ts │ │ ├── use-global-blacklist.ts │ │ ├── use-ip-addresses.ts │ │ ├── use-mobile.ts │ │ ├── use-notification-settings.ts │ │ ├── use-notification-sse.ts │ │ ├── use-notifications.ts │ │ ├── use-nuclei-git-settings.ts │ │ ├── use-nuclei-repos.ts │ │ ├── use-nuclei-templates.ts │ │ ├── use-organizations.ts │ │ ├── use-route-prefetch.ts │ │ ├── use-scan-logs.ts │ │ ├── use-scans.ts │ │ ├── use-scheduled-scans.ts │ │ ├── use-screenshots.ts │ │ ├── use-search.ts │ │ ├── use-step.ts │ │ ├── use-subdomains.ts │ │ ├── use-system-logs.ts │ │ ├── use-targets.ts │ │ ├── use-tools.ts │ │ ├── use-version.ts │ │ ├── use-vulnerabilities.ts │ │ ├── use-websites.ts │ │ ├── use-wordlists.ts │ │ └── use-workers.ts │ ├── i18n/ │ │ ├── config.ts │ │ ├── navigation.ts │ │ └── request.ts │ ├── lib/ │ │ ├── api-client.ts │ │ ├── date-utils.ts │ │ ├── domain-validator.ts │ │ ├── endpoint-validator.ts │ │ ├── engine-config.ts │ │ ├── env.ts │ │ ├── error-code-map.ts │ │ ├── error-handler.ts │ │ ├── i18n-format.ts │ │ ├── response-parser.ts │ │ ├── subdomain-validator.ts │ │ ├── table-utils.ts │ │ ├── target-validator.ts │ │ ├── toast-helpers.ts │ │ ├── url-validator.ts │ │ └── utils.ts │ ├── messages/ │ │ ├── en.json │ │ └── zh.json │ ├── middleware.ts │ ├── mock/ │ │ ├── config.ts │ │ ├── data/ │ │ │ ├── auth.ts │ │ │ ├── blacklist.ts │ │ │ ├── dashboard.ts │ │ │ ├── directories.ts │ │ │ ├── endpoints.ts │ │ │ ├── engines.ts │ │ │ ├── fingerprints.ts │ │ │ ├── ip-addresses.ts │ │ │ ├── notification-settings.ts │ │ │ ├── notifications.ts │ │ │ ├── nuclei-templates.ts │ │ │ ├── organizations.ts │ │ │ ├── scans.ts │ │ │ ├── scheduled-scans.ts │ │ │ ├── search.ts │ │ │ ├── subdomains.ts │ │ │ ├── system-logs.ts │ │ │ ├── targets.ts │ │ │ ├── tools.ts │ │ │ ├── vulnerabilities.ts │ │ │ ├── websites.ts │ │ │ ├── wordlists.ts │ │ │ └── workers.ts │ │ └── index.ts │ ├── next.config.ts │ ├── package.json │ ├── postcss.config.mjs │ ├── public/ │ │ ├── animations/ │ │ │ └── Security000-Purple.json │ │ └── mockServiceWorker.js │ ├── services/ │ │ ├── api-key-settings.service.ts │ │ ├── auth.service.ts │ │ ├── command.service.ts │ │ ├── dashboard.service.ts │ │ ├── directory.service.ts │ │ ├── disk.service.ts │ │ ├── endpoint.service.ts │ │ ├── engine.service.ts │ │ ├── fingerprint.service.ts │ │ ├── global-blacklist.service.ts │ │ ├── ip-address.service.ts │ │ ├── notification-settings.service.ts │ │ ├── notification.service.ts │ │ ├── nuclei-git.service.ts │ │ ├── nuclei-repo.api.ts │ │ ├── nuclei.service.ts │ │ ├── organization.service.ts │ │ ├── scan.service.ts │ │ ├── scheduled-scan.service.ts │ │ ├── screenshot.service.ts │ │ ├── search.service.ts │ │ ├── subdomain.service.ts │ │ ├── system-log.service.ts │ │ ├── target.service.ts │ │ ├── tool.service.ts │ │ ├── version.service.ts │ │ ├── vulnerability.service.ts │ │ ├── website.service.ts │ │ ├── wordlist.service.ts │ │ └── worker.service.ts │ ├── styles/ │ │ └── themes/ │ │ ├── bubblegum.css │ │ ├── clean-slate.css │ │ ├── cosmic-night.css │ │ ├── cyberpunk-1.css │ │ ├── eva-01.css │ │ ├── index.css │ │ ├── quantum-rose.css │ │ ├── vercel-dark.css │ │ ├── vercel.css │ │ └── violet-bloom.css │ ├── tsconfig.json │ ├── types/ │ │ ├── api-key-settings.types.ts │ │ ├── api-response.types.ts │ │ ├── auth.types.ts │ │ ├── command.types.ts │ │ ├── common.types.ts │ │ ├── dashboard.types.ts │ │ ├── data-table.types.ts │ │ ├── directory.types.ts │ │ ├── disk.types.ts │ │ ├── endpoint.types.ts │ │ ├── engine.types.ts │ │ ├── fingerprint.types.ts │ │ ├── ip-address.types.ts │ │ ├── notification-settings.types.ts │ │ ├── notification.types.ts │ │ ├── nuclei-git.types.ts │ │ ├── nuclei.types.ts │ │ ├── organization.types.ts │ │ ├── psl.d.ts │ │ ├── scan.types.ts │ │ ├── scheduled-scan.types.ts │ │ ├── search.types.ts │ │ ├── subdomain.types.ts │ │ ├── system-log.types.ts │ │ ├── target.types.ts │ │ ├── tool.types.ts │ │ ├── version.types.ts │ │ ├── vulnerability.types.ts │ │ ├── website.types.ts │ │ ├── wordlist.types.ts │ │ └── worker.types.ts │ └── vercel.json ├── install.sh ├── restart.sh ├── start.sh ├── stop.sh ├── uninstall.sh └── update.sh ================================================ FILE CONTENTS ================================================ ================================================ FILE: .dockerignore ================================================ # Node modules（前端本地开发产物，Docker 构建时会重新安装） frontend/node_modules frontend/.next # Python 虚拟环境 .venv __pycache__ *.pyc # 日志和临时文件 *.log .DS_Store # Git .git .gitignore # IDE .idea .vscode # Docker 相关（避免嵌套） docker/.env ================================================ FILE: .github/workflows/docker-build.yml ================================================ name: Build and Push Docker Images on: push: tags: - 'v*' # 只在推送 v 开头的 tag 时触发（如 v1.0.0） workflow_dispatch: # 手动触发 # 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 concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true env: REGISTRY: docker.io IMAGE_PREFIX: yyhuni permissions: contents: write jobs: # AMD64 构建（原生 x64 runner） build-amd64: runs-on: ubuntu-latest strategy: matrix: include: - image: xingrin-server dockerfile: docker/server/Dockerfile context: . - image: xingrin-frontend dockerfile: docker/frontend/Dockerfile context: . - image: xingrin-worker dockerfile: docker/worker/Dockerfile context: . - image: xingrin-nginx dockerfile: docker/nginx/Dockerfile context: . - image: xingrin-agent dockerfile: docker/agent/Dockerfile context: . - image: xingrin-postgres dockerfile: docker/postgres/Dockerfile context: docker/postgres steps: - name: Checkout uses: actions/checkout@v4 - name: Free disk space run: | sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc /opt/hostedtoolcache/CodeQL sudo docker image prune -af - name: Generate SSL certificates for nginx build if: matrix.image == 'xingrin-nginx' run: | mkdir -p docker/nginx/ssl openssl req -x509 -nodes -days 365 -newkey rsa:2048 \ -keyout docker/nginx/ssl/privkey.pem \ -out docker/nginx/ssl/fullchain.pem \ -subj "/CN=localhost" - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - name: Login to Docker Hub uses: docker/login-action@v3 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Get version id: version run: | if [[ $GITHUB_REF == refs/tags/* ]]; then echo "VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT else echo "VERSION=dev-$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT fi - name: Build and push AMD64 uses: docker/build-push-action@v5 with: context: ${{ matrix.context }} file: ${{ matrix.dockerfile }} platforms: linux/amd64 push: true tags: ${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:${{ steps.version.outputs.VERSION }}-amd64 build-args: IMAGE_TAG=${{ steps.version.outputs.VERSION }} cache-from: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-amd64 cache-to: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-amd64,mode=max provenance: false sbom: false # ARM64 构建（原生 ARM64 runner） build-arm64: runs-on: ubuntu-22.04-arm strategy: matrix: include: - image: xingrin-server dockerfile: docker/server/Dockerfile context: . - image: xingrin-frontend dockerfile: docker/frontend/Dockerfile context: . - image: xingrin-worker dockerfile: docker/worker/Dockerfile context: . - image: xingrin-nginx dockerfile: docker/nginx/Dockerfile context: . - image: xingrin-agent dockerfile: docker/agent/Dockerfile context: . - image: xingrin-postgres dockerfile: docker/postgres/Dockerfile context: docker/postgres steps: - name: Checkout uses: actions/checkout@v4 - name: Generate SSL certificates for nginx build if: matrix.image == 'xingrin-nginx' run: | mkdir -p docker/nginx/ssl openssl req -x509 -nodes -days 365 -newkey rsa:2048 \ -keyout docker/nginx/ssl/privkey.pem \ -out docker/nginx/ssl/fullchain.pem \ -subj "/CN=localhost" - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - name: Login to Docker Hub uses: docker/login-action@v3 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Get version id: version run: | if [[ $GITHUB_REF == refs/tags/* ]]; then echo "VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT else echo "VERSION=dev-$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT fi - name: Build and push ARM64 uses: docker/build-push-action@v5 with: context: ${{ matrix.context }} file: ${{ matrix.dockerfile }} platforms: linux/arm64 push: true tags: ${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:${{ steps.version.outputs.VERSION }}-arm64 build-args: IMAGE_TAG=${{ steps.version.outputs.VERSION }} cache-from: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-arm64 cache-to: type=registry,ref=${{ env.IMAGE_PREFIX }}/${{ matrix.image }}:cache-arm64,mode=max provenance: false sbom: false # 合并多架构 manifest merge-manifests: runs-on: ubuntu-latest needs: [build-amd64, build-arm64] strategy: matrix: image: - xingrin-server - xingrin-frontend - xingrin-worker - xingrin-nginx - xingrin-agent - xingrin-postgres steps: - name: Login to Docker Hub uses: docker/login-action@v3 with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Get version id: version run: | if [[ $GITHUB_REF == refs/tags/* ]]; then echo "VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_OUTPUT echo "IS_RELEASE=true" >> $GITHUB_OUTPUT else echo "VERSION=dev-$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT echo "IS_RELEASE=false" >> $GITHUB_OUTPUT fi - name: Create and push multi-arch manifest run: | VERSION=${{ steps.version.outputs.VERSION }} IMAGE=${{ env.IMAGE_PREFIX }}/${{ matrix.image }} docker manifest create ${IMAGE}:${VERSION} \ ${IMAGE}:${VERSION}-amd64 \ ${IMAGE}:${VERSION}-arm64 docker manifest push ${IMAGE}:${VERSION} if [[ "${{ steps.version.outputs.IS_RELEASE }}" == "true" ]]; then docker manifest create ${IMAGE}:latest \ ${IMAGE}:${VERSION}-amd64 \ ${IMAGE}:${VERSION}-arm64 docker manifest push ${IMAGE}:latest fi # 更新 VERSION 文件 update-version: runs-on: ubuntu-latest needs: merge-manifests if: startsWith(github.ref, 'refs/tags/v') steps: - name: Checkout repository uses: actions/checkout@v4 with: fetch-depth: 0 # 获取完整历史，用于判断 tag 所在分支 token: ${{ secrets.GITHUB_TOKEN }} - name: Determine source branch and version id: branch run: | VERSION="${GITHUB_REF#refs/tags/}" # 查找包含此 tag 的分支 BRANCHES=$(git branch -r --contains ${{ github.ref_name }}) echo "Branches containing tag: $BRANCHES" # 判断 tag 来自哪个分支 if echo "$BRANCHES" | grep -q "origin/main"; then TARGET_BRANCH="main" UPDATE_LATEST="true" elif echo "$BRANCHES" | grep -q "origin/dev"; then TARGET_BRANCH="dev" UPDATE_LATEST="false" else echo "Warning: Tag not found in main or dev branch, defaulting to main" TARGET_BRANCH="main" UPDATE_LATEST="false" fi echo "BRANCH=$TARGET_BRANCH" >> $GITHUB_OUTPUT echo "VERSION=$VERSION" >> $GITHUB_OUTPUT echo "UPDATE_LATEST=$UPDATE_LATEST" >> $GITHUB_OUTPUT echo "Will update VERSION on branch: $TARGET_BRANCH" - name: Checkout target branch run: | git checkout ${{ steps.branch.outputs.BRANCH }} - name: Update VERSION file run: | VERSION="${{ steps.branch.outputs.VERSION }}" echo "$VERSION" > VERSION echo "Updated VERSION to $VERSION on branch ${{ steps.branch.outputs.BRANCH }}" - name: Commit and push run: | git config user.name "github-actions[bot]" git config user.email "github-actions[bot]@users.noreply.github.com" git add VERSION git diff --staged --quiet || git commit -m "chore: bump version to ${{ steps.branch.outputs.VERSION }}" git push origin ${{ steps.branch.outputs.BRANCH }} ================================================ FILE: .gitignore ================================================ # ============================ # 操作系统相关文件 # ============================ .DS_Store .DS_Store? ._* .Spotlight-V100 .Trashes ehthumbs.db Thumbs.db # ============================ # 前端 (Next.js/Node.js) 相关 # ============================ # 依赖目录 front-back/node_modules/ front-back/.pnpm-store/ # Next.js 构建产物 front-back/.next/ front-back/out/ front-back/dist/ # 环境变量文件 front-back/.env front-back/.env.local front-back/.env.development.local front-back/.env.test.local front-back/.env.production.local # 运行时和缓存 front-back/.turbo/ front-back/.swc/ front-back/.eslintcache front-back/.tsbuildinfo # ============================ # 后端 (Python/Django) 相关 # ============================ # Python 虚拟环境 .venv/ venv/ env/ ENV/ # Python 编译文件 *.pyc *.pyo *.pyd __pycache__/ *.py[cod] *$py.class # Django 相关 backend/db.sqlite3 backend/db.sqlite3-journal backend/media/ backend/staticfiles/ backend/.env backend/.env.local # Python 测试和覆盖率 .pytest_cache/ .coverage htmlcov/ *.cover .hypothesis/ # ============================ # 后端 (Go) 相关 # ============================ # 编译产物 backend/bin/ backend/dist/ backend/*.exe backend/*.exe~ backend/*.dll backend/*.so backend/*.dylib # 测试相关 backend/*.test backend/*.out backend/*.prof # Go workspace 文件 backend/go.work backend/go.work.sum # Go 依赖管理 backend/vendor/ # ============================ # IDE 和编辑器相关 # ============================ .vscode/ .idea/ .cursor/ .claude/ .kiro/ .playwright-mcp/ *.swp *.swo *~ # ============================ # Docker 相关 # ============================ docker/.env docker/.env.local # SSL 证书和私钥（不应提交） docker/nginx/ssl/*.pem docker/nginx/ssl/*.key docker/nginx/ssl/*.crt # ============================ # 日志文件和扫描结果 # ============================ *.log logs/ results/ # 开发脚本运行时文件（进程 ID 和启动日志） backend/scripts/dev/.pids/ # ============================ # 临时文件 # ============================ tmp/ temp/ .cache/ HGETALL KEYS vuln_scan/input_endpoints.txt open-in-v0 ================================================ FILE: CODE_OF_CONDUCT.md ================================================ # Contributor Covenant Code of Conduct ## Our Pledge 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。 我们承诺以开放、友善、多元和尊重的方式参与社区建设。 ## Our Standards 积极行为示例： - 以尊重和建设性的方式给出反馈 - 对不同观点和经验保持开放态度 - 真诚接受合理批评并持续改进 - 以社区整体利益为先 不可接受的行为包括： - 人身攻击、侮辱、歧视或骚扰言论 - 恶意挑衅、持续性争吵或破坏讨论秩序 - 发布他人私人信息 - 其他在专业环境中不适当的行为 ## Enforcement Responsibilities 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。 ## Scope 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。 ## Enforcement 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`。 所有投诉都会被审查并得到适当回应。 ## Attribution 本行为准则参考 Contributor Covenant，并根据本项目需要进行了简化整理。 ================================================ FILE: CONTRIBUTING.md ================================================ # Contributing to XingRin 感谢你愿意为 XingRin 做出贡献。 ## 贡献方式 - 提交 Bug 报告 - 提出功能建议或产品想法 - 改进文档、安装流程和示例 - 提交代码修复或新功能 Pull Request ## 开始之前 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。 对于小修复、文档修正和明显 Bug，也欢迎直接提交 Pull Request。 ## Pull Request 建议 - 保持改动聚焦，避免把无关修改混在一个 PR 中 - 尽量补充必要的说明、截图或复现步骤 - 如果涉及安全相关行为，请明确测试范围和授权前提 - 与现有代码风格、命名和目录结构保持一致 ## Issue 建议 提交 Issue 时，建议附上： - 使用场景 - 复现步骤 - 实际结果与预期结果 - 日志、截图或错误信息 - 运行环境信息 ## 许可证约定 提交 Pull Request 即表示你确认： - 你有权提交这些代码、文档或资源 - 你的贡献将以本仓库当前使用的 [MIT License](./LICENSE) 发布 ## 社区协作 参与社区前，请先阅读 [Code of Conduct](./CODE_OF_CONDUCT.md)。 感谢你的时间、想法和贡献。 ================================================ FILE: LICENSE ================================================ MIT License Copyright (c) 2025-2026 yyhuni Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ================================================ FILE: README.md ================================================

XingRin - 星环

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

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。

GitHub stars GitHub forks GitHub issues License

功能特性 • 资产搜索 • 快速开始 • 文档 • 反馈与贡献

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

--- ## 在线 Demo **[https://xingrin.vercel.app/](https://xingrin.vercel.app/)** > 仅用于 UI 展示，未接入后端数据库 > 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。 ---

现代化 UI

Light Mode Bubblegum Cosmic Night Quantum Rose

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

微信支付 支付宝

## 安全与合规说明 **重要：请在使用前仔细阅读** 1. 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 2. 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** 3. 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 4. 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 5. 项目维护者**不对滥用行为负责** 使用本工具即表示您同意： - 仅在合法授权范围内使用 - 遵守所在地区的法律法规 - 承担因滥用产生的一切后果 ## Star History 如果这个项目对你有帮助，请给一个 Star 支持一下！ [![Star History Chart](https://api.star-history.com/svg?repos=yyhuni/xingrin&type=Date)](https://star-history.com/#yyhuni/xingrin&Date) ## 许可证 本项目采用 [MIT License](LICENSE)。 MIT 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。 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。 ================================================ FILE: SECURITY.md ================================================ # Security Policy ## Supported Versions 安全修复优先面向以下范围： | Version | Supported | | --- | --- | | `main` 最新提交 | ✅ | | 最新稳定发布 | ✅ | | 历史旧版本 | ⚠️ 仅在风险较高且易于回补时评估 | ## Reporting a Vulnerability 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。 建议的报告方式： 1. 通过 GitHub 私密安全报告功能提交（如果仓库已开启） 2. 或发送邮件至 `poem@admin.com` 提交时建议包含： - 漏洞类型与影响范围 - 复现步骤或最小 PoC - 受影响版本、环境与配置 - 可能的修复建议（如果有） ## Response Process - 我会尽快确认收到报告 - 我会评估影响范围、可复现性和修复优先级 - 修复完成后，会在合适时间通过提交记录、Release 或公告说明 感谢你以负责任的方式帮助改进 XingRin 的安全性。 ================================================ FILE: VERSION ================================================ v1.5.8 ================================================ FILE: backend/.gitignore ================================================ # Python __pycache__/ *.py[cod] *$py.class *.so .Python *.egg-info/ dist/ build/ .hypothesis/ # Hypothesis 属性测试缓存 # 虚拟环境 venv/ env/ ENV/ # Django *.log db.sqlite3 db.sqlite3-journal /media /staticfiles # 运行时文件（Flower、PID） /var/* !/var/.gitkeep flower.db pids/ script/dev/.pids/ # 扫描结果和日志（后端数据） /results/* !/results/.gitkeep /logs/* !/logs/.gitkeep # 环境变量（敏感信息） .env .env.development .env.production .env.staging # 只提交模板文件：.env.*.example # IDE .vscode/ .idea/ *.swp *.swo *~ # macOS .DS_Store ================================================ FILE: backend/apps/__init__.py ================================================ ================================================ FILE: backend/apps/asset/__init__.py ================================================ ================================================ FILE: backend/apps/asset/apps.py ================================================ from django.apps import AppConfig class AssetConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'apps.asset' ================================================ FILE: backend/apps/asset/dtos/__init__.py ================================================ """Asset DTOs - 数据传输对象""" # 资产模块 DTOs from .asset import ( SubdomainDTO, WebSiteDTO, IPAddressDTO, DirectoryDTO, PortDTO, EndpointDTO, ) # 快照模块 DTOs from .snapshot import ( SubdomainSnapshotDTO, ) __all__ = [ # 资产模块 'SubdomainDTO', 'WebSiteDTO', 'IPAddressDTO', 'DirectoryDTO', 'PortDTO', 'EndpointDTO', # 快照模块 'SubdomainSnapshotDTO', ] ================================================ FILE: backend/apps/asset/dtos/asset/__init__.py ================================================ """Asset DTOs - 数据传输对象""" from .subdomain_dto import SubdomainDTO from .ip_address_dto import IPAddressDTO from .port_dto import PortDTO from .website_dto import WebSiteDTO from .directory_dto import DirectoryDTO from .host_port_mapping_dto import HostPortMappingDTO from .endpoint_dto import EndpointDTO from .vulnerability_dto import VulnerabilityDTO __all__ = [ 'SubdomainDTO', 'IPAddressDTO', 'PortDTO', 'WebSiteDTO', 'DirectoryDTO', 'HostPortMappingDTO', 'EndpointDTO', 'VulnerabilityDTO', ] ================================================ FILE: backend/apps/asset/dtos/asset/directory_dto.py ================================================ """Directory DTO""" from dataclasses import dataclass from typing import Optional @dataclass class DirectoryDTO: """目录数据传输对象""" target_id: int url: str status: Optional[int] = None content_length: Optional[int] = None words: Optional[int] = None lines: Optional[int] = None content_type: str = '' duration: Optional[int] = None ================================================ FILE: backend/apps/asset/dtos/asset/endpoint_dto.py ================================================ """Endpoint DTO""" from dataclasses import dataclass from typing import Optional, List @dataclass class EndpointDTO: """端点 DTO - 资产表数据传输对象""" target_id: int url: str host: Optional[str] = None title: Optional[str] = None status_code: Optional[int] = None content_length: Optional[int] = None webserver: Optional[str] = None response_body: Optional[str] = None content_type: Optional[str] = None tech: Optional[List[str]] = None vhost: Optional[bool] = None location: Optional[str] = None matched_gf_patterns: Optional[List[str]] = None response_headers: Optional[str] = None def __post_init__(self): if self.tech is None: self.tech = [] if self.matched_gf_patterns is None: self.matched_gf_patterns = [] ================================================ FILE: backend/apps/asset/dtos/asset/host_port_mapping_dto.py ================================================ """HostPortMapping DTO""" from dataclasses import dataclass @dataclass class HostPortMappingDTO: """主机端口映射 DTO（资产表）""" target_id: int host: str ip: str port: int ================================================ FILE: backend/apps/asset/dtos/asset/ip_address_dto.py ================================================ """IPAddress DTO""" from dataclasses import dataclass @dataclass class IPAddressDTO: """ IP地址数据传输对象 只包含 IP 自身的信息，不包含关联关系。 关联关系通过 SubdomainIPAssociationDTO 管理。 """ ip: str protocol_version: str = '' is_private: bool = False reverse_pointer: str = '' ================================================ FILE: backend/apps/asset/dtos/asset/port_dto.py ================================================ """Port DTO""" from dataclasses import dataclass @dataclass class PortDTO: """端口数据传输对象""" ip_address_id: int number: int service_name: str = '' target_id: int = None scan_id: int = None ================================================ FILE: backend/apps/asset/dtos/asset/subdomain_dto.py ================================================ """Subdomain DTO""" from dataclasses import dataclass @dataclass class SubdomainDTO: """ 子域名 DTO（纯资产表） 用于传递子域名资产数据，只包含资产本身的信息。 扫描相关信息存储在快照表中。 """ name: str target_id: int # 必填：子域名必须属于某个目标 ================================================ FILE: backend/apps/asset/dtos/asset/vulnerability_dto.py ================================================ """Vulnerability DTO""" from dataclasses import dataclass, field from typing import Optional, Dict, Any from decimal import Decimal @dataclass class VulnerabilityDTO: """漏洞数据传输对象（资产表用）""" target_id: int url: str vuln_type: str severity: str source: str = "" cvss_score: Optional[Decimal] = None description: str = "" raw_output: Dict[str, Any] = field(default_factory=dict) ================================================ FILE: backend/apps/asset/dtos/asset/website_dto.py ================================================ """WebSite DTO""" from dataclasses import dataclass from typing import List, Optional @dataclass class WebSiteDTO: """网站数据传输对象""" target_id: int url: str host: str = '' title: str = '' status_code: Optional[int] = None content_length: Optional[int] = None location: str = '' webserver: str = '' content_type: str = '' tech: List[str] = None response_body: str = '' vhost: Optional[bool] = None created_at: str = None response_headers: str = '' def __post_init__(self): if self.tech is None: self.tech = [] ================================================ FILE: backend/apps/asset/dtos/snapshot/__init__.py ================================================ """Snapshot DTOs""" from .subdomain_snapshot_dto import SubdomainSnapshotDTO from .host_port_mapping_snapshot_dto import HostPortMappingSnapshotDTO from .website_snapshot_dto import WebsiteSnapshotDTO from .directory_snapshot_dto import DirectorySnapshotDTO from .endpoint_snapshot_dto import EndpointSnapshotDTO from .vulnerability_snapshot_dto import VulnerabilitySnapshotDTO __all__ = [ 'SubdomainSnapshotDTO', 'HostPortMappingSnapshotDTO', 'WebsiteSnapshotDTO', 'DirectorySnapshotDTO', 'EndpointSnapshotDTO', 'VulnerabilitySnapshotDTO', ] ================================================ FILE: backend/apps/asset/dtos/snapshot/directory_snapshot_dto.py ================================================ """Directory Snapshot DTO""" from dataclasses import dataclass from typing import Optional from apps.asset.dtos.asset import DirectoryDTO @dataclass class DirectorySnapshotDTO: """ 目录快照数据传输对象 用于保存扫描过程中发现的目录信息到快照表 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。 快照只属于 scan。 """ scan_id: int target_id: int # 仅用于传递数据，不保存到数据库 url: str status: Optional[int] = None content_length: Optional[int] = None words: Optional[int] = None lines: Optional[int] = None content_type: str = '' duration: Optional[int] = None def to_asset_dto(self) -> DirectoryDTO: """ 转换为资产 DTO（用于同步到资产表） 注意：去除 scan_id 字段，因为资产表不需要 Returns: DirectoryDTO: 资产表 DTO """ return DirectoryDTO( target_id=self.target_id, url=self.url, status=self.status, content_length=self.content_length, words=self.words, lines=self.lines, content_type=self.content_type, duration=self.duration ) ================================================ FILE: backend/apps/asset/dtos/snapshot/endpoint_snapshot_dto.py ================================================ """EndpointSnapshot DTO""" from dataclasses import dataclass from typing import List, Optional @dataclass class EndpointSnapshotDTO: """ 端点快照 DTO 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。 快照只属于 scan。 """ scan_id: int target_id: int # 必填，用于同步到资产表 url: str host: str = '' # 主机名（域名或IP地址） title: str = '' status_code: Optional[int] = None content_length: Optional[int] = None location: str = '' webserver: str = '' content_type: str = '' tech: List[str] = None response_body: str = '' vhost: Optional[bool] = None matched_gf_patterns: List[str] = None response_headers: str = '' def __post_init__(self): if self.tech is None: self.tech = [] if self.matched_gf_patterns is None: self.matched_gf_patterns = [] def to_asset_dto(self): """ 转换为资产 DTO（用于同步到资产表） Returns: EndpointDTO: 资产表 DTO（移除 scan_id） """ from apps.asset.dtos.asset import EndpointDTO return EndpointDTO( target_id=self.target_id, url=self.url, host=self.host, title=self.title, status_code=self.status_code, content_length=self.content_length, webserver=self.webserver, response_body=self.response_body, content_type=self.content_type, tech=self.tech if self.tech else [], vhost=self.vhost, location=self.location, matched_gf_patterns=self.matched_gf_patterns if self.matched_gf_patterns else [], response_headers=self.response_headers, ) ================================================ FILE: backend/apps/asset/dtos/snapshot/host_port_mapping_snapshot_dto.py ================================================ """HostPortMappingSnapshot DTO""" from dataclasses import dataclass from typing import Optional @dataclass class HostPortMappingSnapshotDTO: """主机端口映射快照 DTO""" scan_id: int host: str ip: str port: int target_id: Optional[int] = None # 冗余字段，用于同步到资产表 def to_asset_dto(self): """ 转换为资产 DTO（用于同步到资产表） Returns: HostPortMappingDTO: 资产表 DTO（移除 scan_id） """ from apps.asset.dtos.asset import HostPortMappingDTO if self.target_id is None: raise ValueError("target_id 不能为 None，无法同步到资产表") return HostPortMappingDTO( target_id=self.target_id, host=self.host, ip=self.ip, port=self.port ) ================================================ FILE: backend/apps/asset/dtos/snapshot/subdomain_snapshot_dto.py ================================================ """SubdomainSnapshot DTO""" from dataclasses import dataclass from typing import TYPE_CHECKING if TYPE_CHECKING: from apps.asset.dtos import SubdomainDTO @dataclass class SubdomainSnapshotDTO: """ 子域名快照 DTO 用于传递快照数据，包含完整的业务上下文信息。 快照表记录每次扫描的历史数据。 """ name: str scan_id: int # 必填：快照必须关联扫描任务 target_id: int # 必填：目标ID（用于转换为资产 DTO） def to_asset_dto(self) -> 'SubdomainDTO': """ 转换为资产 DTO（用于保存到资产表） Returns: SubdomainDTO: 资产 DTO（不包含 scan_id） Note: 资产表只存储核心数据，扫描上下文（scan_id）不保存到资产表。 target_id 已经包含在 DTO 中，无需额外传参。 """ from apps.asset.dtos import SubdomainDTO return SubdomainDTO(name=self.name, target_id=self.target_id) ================================================ FILE: backend/apps/asset/dtos/snapshot/vulnerability_snapshot_dto.py ================================================ """VulnerabilitySnapshot DTO""" from dataclasses import dataclass, field from typing import Optional, Dict, Any from decimal import Decimal @dataclass class VulnerabilitySnapshotDTO: """漏洞快照 DTO 对应 VulnerabilitySnapshot 模型，用于在 Service/Task 之间传递漏洞结果数据。 设计与其他快照 DTO 一致： - scan_id: 只属于快照表 - target_id: 只用于转换为资产 DTO，不直接存入快照表 """ scan_id: int target_id: int # 仅用于传递数据和生成资产 DTO，不保存到快照表 url: str vuln_type: str severity: str source: str = "" cvss_score: Optional[Decimal] = None description: str = "" raw_output: Dict[str, Any] = field(default_factory=dict) def to_asset_dto(self): """转换为漏洞资产 DTO（用于同步到 Vulnerability 表）。""" from apps.asset.dtos.asset import VulnerabilityDTO return VulnerabilityDTO( target_id=self.target_id, url=self.url, vuln_type=self.vuln_type, severity=self.severity, source=self.source, cvss_score=self.cvss_score, description=self.description, raw_output=self.raw_output, ) ================================================ FILE: backend/apps/asset/dtos/snapshot/website_snapshot_dto.py ================================================ """WebsiteSnapshot DTO""" from dataclasses import dataclass from typing import List, Optional @dataclass class WebsiteSnapshotDTO: """ 网站快照 DTO 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。 快照只属于 scan，target 信息通过 scan.target 获取。 """ scan_id: int target_id: int # 必填，用于同步到资产表 url: str host: str title: str = '' status_code: Optional[int] = None # 统一命名：status -> status_code content_length: Optional[int] = None location: str = '' webserver: str = '' # 统一命名：web_server -> webserver content_type: str = '' tech: List[str] = None response_body: str = '' vhost: Optional[bool] = None response_headers: str = '' def __post_init__(self): if self.tech is None: self.tech = [] def to_asset_dto(self): """ 转换为资产 DTO（用于同步到资产表） Returns: WebSiteDTO: 资产表 DTO（移除 scan_id） """ from apps.asset.dtos.asset import WebSiteDTO return WebSiteDTO( target_id=self.target_id, url=self.url, host=self.host, title=self.title, status_code=self.status_code, content_length=self.content_length, location=self.location, webserver=self.webserver, content_type=self.content_type, tech=self.tech if self.tech else [], response_body=self.response_body, vhost=self.vhost, response_headers=self.response_headers, ) ================================================ FILE: backend/apps/asset/migrations/0001_initial.py ================================================ # Generated by Django 5.2.7 on 2026-01-06 00:55 import django.contrib.postgres.fields import django.contrib.postgres.indexes import django.core.validators import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ('scan', '0001_initial'), ('targets', '0001_initial'), ] operations = [ migrations.CreateModel( name='AssetStatistics', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('total_targets', models.IntegerField(default=0, help_text='目标总数')), ('total_subdomains', models.IntegerField(default=0, help_text='子域名总数')), ('total_ips', models.IntegerField(default=0, help_text='IP地址总数')), ('total_endpoints', models.IntegerField(default=0, help_text='端点总数')), ('total_websites', models.IntegerField(default=0, help_text='网站总数')), ('total_vulns', models.IntegerField(default=0, help_text='漏洞总数')), ('total_assets', models.IntegerField(default=0, help_text='总资产数（子域名+IP+端点+网站）')), ('prev_targets', models.IntegerField(default=0, help_text='上次目标总数')), ('prev_subdomains', models.IntegerField(default=0, help_text='上次子域名总数')), ('prev_ips', models.IntegerField(default=0, help_text='上次IP地址总数')), ('prev_endpoints', models.IntegerField(default=0, help_text='上次端点总数')), ('prev_websites', models.IntegerField(default=0, help_text='上次网站总数')), ('prev_vulns', models.IntegerField(default=0, help_text='上次漏洞总数')), ('prev_assets', models.IntegerField(default=0, help_text='上次总资产数')), ('updated_at', models.DateTimeField(auto_now=True, help_text='最后更新时间')), ], options={ 'verbose_name': '资产统计', 'verbose_name_plural': '资产统计', 'db_table': 'asset_statistics', }, ), migrations.CreateModel( name='StatisticsHistory', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date', models.DateField(help_text='统计日期', unique=True)), ('total_targets', models.IntegerField(default=0, help_text='目标总数')), ('total_subdomains', models.IntegerField(default=0, help_text='子域名总数')), ('total_ips', models.IntegerField(default=0, help_text='IP地址总数')), ('total_endpoints', models.IntegerField(default=0, help_text='端点总数')), ('total_websites', models.IntegerField(default=0, help_text='网站总数')), ('total_vulns', models.IntegerField(default=0, help_text='漏洞总数')), ('total_assets', models.IntegerField(default=0, help_text='总资产数')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')), ], options={ 'verbose_name': '统计历史', 'verbose_name_plural': '统计历史', 'db_table': 'statistics_history', 'ordering': ['-date'], 'indexes': [models.Index(fields=['date'], name='statistics__date_1d29cd_idx')], }, ), migrations.CreateModel( name='Directory', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.CharField(help_text='完整请求 URL', max_length=2000)), ('status', models.IntegerField(blank=True, help_text='HTTP 响应状态码', null=True)), ('content_length', models.BigIntegerField(blank=True, help_text='响应体字节大小（Content-Length 或实际长度）', null=True)), ('words', models.IntegerField(blank=True, help_text='响应体中单词数量（按空格分割）', null=True)), ('lines', models.IntegerField(blank=True, help_text='响应体行数（按换行符分割）', null=True)), ('content_type', models.CharField(blank=True, default='', help_text='响应头 Content-Type 值', max_length=200)), ('duration', models.BigIntegerField(blank=True, help_text='请求耗时（单位：纳秒）', null=True)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '目录', 'verbose_name_plural': '目录', 'db_table': 'directory', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('target', 'url'), name='unique_directory_url_target')], }, ), migrations.CreateModel( name='DirectorySnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.CharField(help_text='目录URL', max_length=2000)), ('status', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)), ('content_length', models.BigIntegerField(blank=True, help_text='内容长度', null=True)), ('words', models.IntegerField(blank=True, help_text='响应体中单词数量（按空格分割）', null=True)), ('lines', models.IntegerField(blank=True, help_text='响应体行数（按换行符分割）', null=True)), ('content_type', models.CharField(blank=True, default='', help_text='响应头 Content-Type 值', max_length=200)), ('duration', models.BigIntegerField(blank=True, help_text='请求耗时（单位：纳秒）', null=True)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '目录快照', 'verbose_name_plural': '目录快照', 'db_table': 'directory_snapshot', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_directory_per_scan_snapshot')], }, ), migrations.CreateModel( name='Endpoint', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.TextField(help_text='最终访问的完整URL')), ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)), ('location', models.TextField(blank=True, default='', help_text='重定向地址（HTTP 3xx 响应头 Location）')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('title', models.TextField(blank=True, default='', help_text='网页标题（HTML 标签内容）')), ('webserver', models.TextField(blank=True, default='', help_text='服务器类型（HTTP 响应头 Server 值）')), ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')), ('content_type', models.TextField(blank=True, default='', help_text='响应类型（HTTP Content-Type 响应头）')), ('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)), ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)), ('content_length', models.IntegerField(blank=True, help_text='响应体大小（单位字节）', null=True)), ('vhost', models.BooleanField(blank=True, help_text='是否支持虚拟主机', null=True)), ('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)), ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')), ('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')), ], options={ 'verbose_name': '端点', 'verbose_name_plural': '端点', 'db_table': 'endpoint', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('url', 'target'), name='unique_endpoint_url_target')], }, ), migrations.CreateModel( name='EndpointSnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.TextField(help_text='端点URL')), ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)), ('title', models.TextField(blank=True, default='', help_text='页面标题')), ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)), ('content_length', models.IntegerField(blank=True, help_text='内容长度', null=True)), ('location', models.TextField(blank=True, default='', help_text='重定向位置')), ('webserver', models.TextField(blank=True, default='', help_text='Web服务器')), ('content_type', models.TextField(blank=True, default='', help_text='内容类型')), ('tech', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='技术栈', size=None)), ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')), ('vhost', models.BooleanField(blank=True, help_text='虚拟主机标志', null=True)), ('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)), ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '端点快照', 'verbose_name_plural': '端点快照', 'db_table': 'endpoint_snapshot', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_endpoint_per_scan_snapshot')], }, ), migrations.CreateModel( name='HostPortMapping', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('host', models.CharField(help_text='主机名（域名或IP）', max_length=1000)), ('ip', models.GenericIPAddressField(help_text='IP地址')), ('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')])), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '主机端口映射', 'verbose_name_plural': '主机端口映射', 'db_table': 'host_port_mapping', 'ordering': ['-created_at'], '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')], 'constraints': [models.UniqueConstraint(fields=('target', 'host', 'ip', 'port'), name='unique_target_host_ip_port')], }, ), migrations.CreateModel( name='HostPortMappingSnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('host', models.CharField(help_text='主机名（域名或IP）', max_length=1000)), ('ip', models.GenericIPAddressField(help_text='IP地址')), ('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')])), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '主机端口映射快照', 'verbose_name_plural': '主机端口映射快照', 'db_table': 'host_port_mapping_snapshot', 'ordering': ['-created_at'], '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')], 'constraints': [models.UniqueConstraint(fields=('scan', 'host', 'ip', 'port'), name='unique_scan_host_ip_port_snapshot')], }, ), migrations.CreateModel( name='Subdomain', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(help_text='子域名名称', max_length=1000)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '子域名', 'verbose_name_plural': '子域名', 'db_table': 'subdomain', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('name', 'target'), name='unique_subdomain_name_target')], }, ), migrations.CreateModel( name='SubdomainSnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(help_text='子域名名称', max_length=1000)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '子域名快照', 'verbose_name_plural': '子域名快照', 'db_table': 'subdomain_snapshot', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('scan', 'name'), name='unique_subdomain_per_scan_snapshot')], }, ), migrations.CreateModel( name='Vulnerability', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.CharField(help_text='漏洞所在的URL', max_length=2000)), ('vuln_type', models.CharField(help_text='漏洞类型（如 xss, sqli）', max_length=100)), ('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)), ('source', models.CharField(blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）', max_length=50)), ('cvss_score', models.DecimalField(blank=True, decimal_places=1, help_text='CVSS 评分（0.0-10.0）', max_digits=3, null=True)), ('description', models.TextField(blank=True, default='', help_text='漏洞描述')), ('raw_output', models.JSONField(blank=True, default=dict, help_text='工具原始输出')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '漏洞', 'verbose_name_plural': '漏洞', 'db_table': 'vulnerability', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='VulnerabilitySnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.CharField(help_text='漏洞所在的URL', max_length=2000)), ('vuln_type', models.CharField(help_text='漏洞类型（如 xss, sqli）', max_length=100)), ('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)), ('source', models.CharField(blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）', max_length=50)), ('cvss_score', models.DecimalField(blank=True, decimal_places=1, help_text='CVSS 评分（0.0-10.0）', max_digits=3, null=True)), ('description', models.TextField(blank=True, default='', help_text='漏洞描述')), ('raw_output', models.JSONField(blank=True, default=dict, help_text='工具原始输出')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '漏洞快照', 'verbose_name_plural': '漏洞快照', 'db_table': 'vulnerability_snapshot', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='WebSite', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.TextField(help_text='最终访问的完整URL')), ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)), ('location', models.TextField(blank=True, default='', help_text='重定向地址（HTTP 3xx 响应头 Location）')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('title', models.TextField(blank=True, default='', help_text='网页标题（HTML <title> 标签内容）')), ('webserver', models.TextField(blank=True, default='', help_text='服务器类型（HTTP 响应头 Server 值）')), ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')), ('content_type', models.TextField(blank=True, default='', help_text='响应类型（HTTP Content-Type 响应头）')), ('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)), ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)), ('content_length', models.IntegerField(blank=True, help_text='响应体大小（单位字节）', null=True)), ('vhost', models.BooleanField(blank=True, help_text='是否支持虚拟主机', null=True)), ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')), ('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')), ], options={ 'verbose_name': '站点', 'verbose_name_plural': '站点', 'db_table': 'website', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('url', 'target'), name='unique_website_url_target')], }, ), migrations.CreateModel( name='WebsiteSnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.TextField(help_text='站点URL')), ('host', models.CharField(blank=True, default='', help_text='主机名（域名或IP地址）', max_length=253)), ('title', models.TextField(blank=True, default='', help_text='页面标题')), ('status_code', models.IntegerField(blank=True, help_text='HTTP状态码', null=True)), ('content_length', models.BigIntegerField(blank=True, help_text='内容长度', null=True)), ('location', models.TextField(blank=True, default='', help_text='重定向位置')), ('webserver', models.TextField(blank=True, default='', help_text='Web服务器')), ('content_type', models.TextField(blank=True, default='', help_text='内容类型')), ('tech', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=100), blank=True, default=list, help_text='技术栈', size=None)), ('response_body', models.TextField(blank=True, default='', help_text='HTTP响应体')), ('vhost', models.BooleanField(blank=True, help_text='虚拟主机标志', null=True)), ('response_headers', models.TextField(blank=True, default='', help_text='原始HTTP响应头')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '网站快照', 'verbose_name_plural': '网站快照', 'db_table': 'website_snapshot', 'ordering': ['-created_at'], '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'])], 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_website_per_scan_snapshot')], }, ), ] ================================================ FILE: backend/apps/asset/migrations/0002_create_search_views.py ================================================ """ 创建资产搜索物化视图（使用 pg_ivm 增量维护） 这些视图用于资产搜索功能，提供高性能的全文搜索能力。 """ from django.db import migrations class Migration(migrations.Migration): """创建资产搜索所需的增量物化视图""" dependencies = [ ('asset', '0001_initial'), ] operations = [ # 1. 确保 pg_ivm 扩展已安装 migrations.RunSQL( sql="CREATE EXTENSION IF NOT EXISTS pg_ivm;", reverse_sql="DROP EXTENSION IF EXISTS pg_ivm;", ), # 2. 创建 Website 搜索视图 # 注意：pg_ivm 不支持 ArrayField，所以 tech 字段需要从原表 JOIN 获取 migrations.RunSQL( sql=""" SELECT pgivm.create_immv('asset_search_view', $$ SELECT w.id, w.url, w.host, w.title, w.status_code, w.response_headers, w.response_body, w.content_type, w.content_length, w.webserver, w.location, w.vhost, w.created_at, w.target_id FROM website w $$); """, reverse_sql="DROP TABLE IF EXISTS asset_search_view CASCADE;", ), # 3. 创建 Endpoint 搜索视图 migrations.RunSQL( sql=""" SELECT pgivm.create_immv('endpoint_search_view', $$ SELECT e.id, e.url, e.host, e.title, e.status_code, e.response_headers, e.response_body, e.content_type, e.content_length, e.webserver, e.location, e.vhost, e.created_at, e.target_id FROM endpoint e $$); """, reverse_sql="DROP TABLE IF EXISTS endpoint_search_view CASCADE;", ), # 4. 为搜索视图创建索引（加速查询） migrations.RunSQL( sql=[ # Website 搜索视图索引 "CREATE INDEX IF NOT EXISTS asset_search_view_host_idx ON asset_search_view (host);", "CREATE INDEX IF NOT EXISTS asset_search_view_url_idx ON asset_search_view (url);", "CREATE INDEX IF NOT EXISTS asset_search_view_title_idx ON asset_search_view (title);", "CREATE INDEX IF NOT EXISTS asset_search_view_status_idx ON asset_search_view (status_code);", "CREATE INDEX IF NOT EXISTS asset_search_view_created_idx ON asset_search_view (created_at DESC);", # Endpoint 搜索视图索引 "CREATE INDEX IF NOT EXISTS endpoint_search_view_host_idx ON endpoint_search_view (host);", "CREATE INDEX IF NOT EXISTS endpoint_search_view_url_idx ON endpoint_search_view (url);", "CREATE INDEX IF NOT EXISTS endpoint_search_view_title_idx ON endpoint_search_view (title);", "CREATE INDEX IF NOT EXISTS endpoint_search_view_status_idx ON endpoint_search_view (status_code);", "CREATE INDEX IF NOT EXISTS endpoint_search_view_created_idx ON endpoint_search_view (created_at DESC);", ], reverse_sql=[ "DROP INDEX IF EXISTS asset_search_view_host_idx;", "DROP INDEX IF EXISTS asset_search_view_url_idx;", "DROP INDEX IF EXISTS asset_search_view_title_idx;", "DROP INDEX IF EXISTS asset_search_view_status_idx;", "DROP INDEX IF EXISTS asset_search_view_created_idx;", "DROP INDEX IF EXISTS endpoint_search_view_host_idx;", "DROP INDEX IF EXISTS endpoint_search_view_url_idx;", "DROP INDEX IF EXISTS endpoint_search_view_title_idx;", "DROP INDEX IF EXISTS endpoint_search_view_status_idx;", "DROP INDEX IF EXISTS endpoint_search_view_created_idx;", ], ), ] ================================================ FILE: backend/apps/asset/migrations/0003_add_screenshot_models.py ================================================ # Generated by Django 5.2.7 on 2026-01-07 02:21 import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('asset', '0002_create_search_views'), ('scan', '0001_initial'), ('targets', '0001_initial'), ] operations = [ migrations.CreateModel( name='Screenshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.TextField(help_text='截图对应的 URL')), ('image', models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')), ('target', models.ForeignKey(help_text='所属目标', on_delete=django.db.models.deletion.CASCADE, related_name='screenshots', to='targets.target')), ], options={ 'verbose_name': '截图', 'verbose_name_plural': '截图', 'db_table': 'screenshot', 'ordering': ['-created_at'], 'indexes': [models.Index(fields=['target'], name='screenshot_target__2f01f6_idx'), models.Index(fields=['-created_at'], name='screenshot_created_c0ad4b_idx')], 'constraints': [models.UniqueConstraint(fields=('target', 'url'), name='unique_screenshot_per_target')], }, ), migrations.CreateModel( name='ScreenshotSnapshot', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('url', models.TextField(help_text='截图对应的 URL')), ('image', models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '截图快照', 'verbose_name_plural': '截图快照', 'db_table': 'screenshot_snapshot', 'ordering': ['-created_at'], 'indexes': [models.Index(fields=['scan'], name='screenshot__scan_id_fb8c4d_idx'), models.Index(fields=['-created_at'], name='screenshot__created_804117_idx')], 'constraints': [models.UniqueConstraint(fields=('scan', 'url'), name='unique_screenshot_per_scan_snapshot')], }, ), ] ================================================ FILE: backend/apps/asset/migrations/0004_add_status_code_to_screenshot.py ================================================ # Generated by Django 5.2.7 on 2026-01-07 13:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('asset', '0003_add_screenshot_models'), ] operations = [ migrations.AddField( model_name='screenshot', name='status_code', field=models.SmallIntegerField(blank=True, help_text='HTTP 响应状态码', null=True), ), migrations.AddField( model_name='screenshotsnapshot', name='status_code', field=models.SmallIntegerField(blank=True, help_text='HTTP 响应状态码', null=True), ), ] ================================================ FILE: backend/apps/asset/migrations/__init__.py ================================================ ================================================ FILE: backend/apps/asset/models/__init__.py ================================================ # 导入所有模型，确保Django能发现它们 # 业务模型 from .asset_models import ( Subdomain, WebSite, Endpoint, Directory, HostPortMapping, Vulnerability, ) # 快照模型 from .snapshot_models import ( SubdomainSnapshot, WebsiteSnapshot, DirectorySnapshot, HostPortMappingSnapshot, EndpointSnapshot, VulnerabilitySnapshot, ) # 截图模型 from .screenshot_models import ( Screenshot, ScreenshotSnapshot, ) # 统计模型 from .statistics_models import AssetStatistics, StatisticsHistory # 导出所有模型供外部导入 __all__ = [ # 业务模型 'Subdomain', 'WebSite', 'Endpoint', 'Directory', 'HostPortMapping', 'Vulnerability', # 快照模型 'SubdomainSnapshot', 'WebsiteSnapshot', 'DirectorySnapshot', 'HostPortMappingSnapshot', 'EndpointSnapshot', 'VulnerabilitySnapshot', # 截图模型 'Screenshot', 'ScreenshotSnapshot', # 统计模型 'AssetStatistics', 'StatisticsHistory', ] ================================================ FILE: backend/apps/asset/models/asset_models.py ================================================ from django.db import models from django.contrib.postgres.fields import ArrayField from django.contrib.postgres.indexes import GinIndex from django.core.validators import MinValueValidator, MaxValueValidator class Subdomain(models.Model): """ 子域名模型（纯资产表） 设计特点： - 只存储子域名资产信息 - 与其他资产表（IPAddress、Port）无直接关联 - 扫描历史记录存储在 SubdomainSnapshot 快照表中 """ id = models.AutoField(primary_key=True) target = models.ForeignKey( 'targets.Target', # 使用字符串引用避免循环导入 on_delete=models.CASCADE, related_name='subdomains', help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）' ) name = models.CharField(max_length=1000, help_text='子域名名称') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'subdomain' verbose_name = '子域名' verbose_name_plural = '子域名' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['name', 'target']), # 复合索引，优化 get_by_names_and_target_id 批量查询 models.Index(fields=['target']), # 优化从target_id快速查找下面的子域名 models.Index(fields=['name']), # 优化从name快速查找子域名，搜索场景 # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='subdomain_name_trgm_idx', fields=['name'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 普通唯一约束：name + target 组合唯一 models.UniqueConstraint( fields=['name', 'target'], name='unique_subdomain_name_target' ) ] def __str__(self): return str(self.name or f'Subdomain {self.id}') class Endpoint(models.Model): """端点模型""" id = models.AutoField(primary_key=True) target = models.ForeignKey( 'targets.Target', # 使用字符串引用 on_delete=models.CASCADE, related_name='endpoints', help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）' ) url = models.TextField(help_text='最终访问的完整URL') host = models.CharField( max_length=253, blank=True, default='', help_text='主机名（域名或IP地址）' ) location = models.TextField( blank=True, default='', help_text='重定向地址（HTTP 3xx 响应头 Location）' ) created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') title = models.TextField( blank=True, default='', help_text='网页标题（HTML <title> 标签内容）' ) webserver = models.TextField( blank=True, default='', help_text='服务器类型（HTTP 响应头 Server 值）' ) response_body = models.TextField( blank=True, default='', help_text='HTTP响应体' ) content_type = models.TextField( blank=True, default='', help_text='响应类型（HTTP Content-Type 响应头）' ) tech = ArrayField( models.CharField(max_length=100), blank=True, default=list, help_text='技术栈（服务器/框架/语言等）' ) status_code = models.IntegerField( null=True, blank=True, help_text='HTTP状态码' ) content_length = models.IntegerField( null=True, blank=True, help_text='响应体大小（单位字节）' ) vhost = models.BooleanField( null=True, blank=True, help_text='是否支持虚拟主机' ) matched_gf_patterns = ArrayField( 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）' ) response_headers = models.TextField( blank=True, default='', help_text='原始HTTP响应头' ) class Meta: db_table = 'endpoint' verbose_name = '端点' verbose_name_plural = '端点' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['target']), # 优化从 target_id快速查找下面的端点（主关联字段） models.Index(fields=['url']), # URL索引，优化查询性能 models.Index(fields=['host']), # host索引，优化根据主机名查询 models.Index(fields=['status_code']), # 状态码索引，优化筛选 models.Index(fields=['title']), # title索引，优化智能过滤搜索 GinIndex(fields=['tech']), # GIN索引，优化 tech 数组字段的 __contains 查询 # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='endpoint_resp_headers_trgm_idx', fields=['response_headers'], opclasses=['gin_trgm_ops'] ), GinIndex( name='endpoint_url_trgm_idx', fields=['url'], opclasses=['gin_trgm_ops'] ), GinIndex( name='endpoint_title_trgm_idx', fields=['title'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 普通唯一约束：url + target 组合唯一 models.UniqueConstraint( fields=['url', 'target'], name='unique_endpoint_url_target' ) ] def __str__(self): return str(self.url or f'Endpoint {self.id}') class WebSite(models.Model): """站点模型""" id = models.AutoField(primary_key=True) target = models.ForeignKey( 'targets.Target', # 使用字符串引用 on_delete=models.CASCADE, related_name='websites', help_text='所属的扫描目标（主关联字段，表示所属关系，不能为空）' ) url = models.TextField(help_text='最终访问的完整URL') host = models.CharField( max_length=253, blank=True, default='', help_text='主机名（域名或IP地址）' ) location = models.TextField( blank=True, default='', help_text='重定向地址（HTTP 3xx 响应头 Location）' ) created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') title = models.TextField( blank=True, default='', help_text='网页标题（HTML <title> 标签内容）' ) webserver = models.TextField( blank=True, default='', help_text='服务器类型（HTTP 响应头 Server 值）' ) response_body = models.TextField( blank=True, default='', help_text='HTTP响应体' ) content_type = models.TextField( blank=True, default='', help_text='响应类型（HTTP Content-Type 响应头）' ) tech = ArrayField( models.CharField(max_length=100), blank=True, default=list, help_text='技术栈（服务器/框架/语言等）' ) status_code = models.IntegerField( null=True, blank=True, help_text='HTTP状态码' ) content_length = models.IntegerField( null=True, blank=True, help_text='响应体大小（单位字节）' ) vhost = models.BooleanField( null=True, blank=True, help_text='是否支持虚拟主机' ) response_headers = models.TextField( blank=True, default='', help_text='原始HTTP响应头' ) class Meta: db_table = 'website' verbose_name = '站点' verbose_name_plural = '站点' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['url']), # URL索引，优化查询性能 models.Index(fields=['host']), # host索引，优化根据主机名查询 models.Index(fields=['target']), # 优化从 target_id快速查找下面的站点 models.Index(fields=['title']), # title索引，优化智能过滤搜索 models.Index(fields=['status_code']), # 状态码索引，优化智能过滤搜索 GinIndex(fields=['tech']), # GIN索引，优化 tech 数组字段的 __contains 查询 # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='website_resp_headers_trgm_idx', fields=['response_headers'], opclasses=['gin_trgm_ops'] ), GinIndex( name='website_url_trgm_idx', fields=['url'], opclasses=['gin_trgm_ops'] ), GinIndex( name='website_title_trgm_idx', fields=['title'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 普通唯一约束：url + target 组合唯一 models.UniqueConstraint( fields=['url', 'target'], name='unique_website_url_target' ) ] def __str__(self): return str(self.url or f'Website {self.id}') class Directory(models.Model): """ 目录模型 """ id = models.AutoField(primary_key=True) target = models.ForeignKey( 'targets.Target', on_delete=models.CASCADE, related_name='directories', help_text='所属的扫描目标' ) url = models.CharField( null=False, blank=False, max_length=2000, help_text='完整请求 URL' ) status = models.IntegerField( null=True, blank=True, help_text='HTTP 响应状态码' ) content_length = models.BigIntegerField( null=True, blank=True, help_text='响应体字节大小（Content-Length 或实际长度）' ) words = models.IntegerField( null=True, blank=True, help_text='响应体中单词数量（按空格分割）' ) lines = models.IntegerField( null=True, blank=True, help_text='响应体行数（按换行符分割）' ) content_type = models.CharField( max_length=200, blank=True, default='', help_text='响应头 Content-Type 值' ) duration = models.BigIntegerField( null=True, blank=True, help_text='请求耗时（单位：纳秒）' ) created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'directory' verbose_name = '目录' verbose_name_plural = '目录' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['target']), # 优化从target_id快速查找下面的目录 models.Index(fields=['url']), # URL索引，优化搜索和唯一约束 models.Index(fields=['status']), # 状态码索引，优化筛选 # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='directory_url_trgm_idx', fields=['url'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 普通唯一约束：target + url 组合唯一 models.UniqueConstraint( fields=['target', 'url'], name='unique_directory_url_target' ), ] def __str__(self): return str(self.url or f'Directory {self.id}') class HostPortMapping(models.Model): """ 主机端口映射表 设计特点： - 存储主机（host）、IP、端口的三元映射关系 - 只关联 target_id，不关联其他资产表 - target + host + ip + port 组成复合唯一约束 """ id = models.AutoField(primary_key=True) # ==================== 关联字段 ==================== target = models.ForeignKey( 'targets.Target', on_delete=models.CASCADE, related_name='host_port_mappings', help_text='所属的扫描目标' ) # ==================== 核心字段 ==================== host = models.CharField( max_length=1000, blank=False, help_text='主机名（域名或IP）' ) ip = models.GenericIPAddressField( blank=False, help_text='IP地址' ) port = models.IntegerField( blank=False, validators=[ MinValueValidator(1, message='端口号必须大于等于1'), MaxValueValidator(65535, message='端口号必须小于等于65535') ], help_text='端口号（1-65535）' ) # ==================== 时间字段 ==================== created_at = models.DateTimeField( auto_now_add=True, help_text='创建时间' ) class Meta: db_table = 'host_port_mapping' verbose_name = '主机端口映射' verbose_name_plural = '主机端口映射' ordering = ['-created_at'] indexes = [ models.Index(fields=['target']), # 优化按目标查询 models.Index(fields=['host']), # 优化按主机名查询 models.Index(fields=['ip']), # 优化按IP查询 models.Index(fields=['port']), # 优化按端口查询 models.Index(fields=['host', 'ip']), # 优化组合查询 models.Index(fields=['-created_at']), # 优化时间排序 ] constraints = [ # 复合唯一约束：target + host + ip + port 组合唯一 models.UniqueConstraint( fields=['target', 'host', 'ip', 'port'], name='unique_target_host_ip_port' ), ] def __str__(self): return f'{self.host} ({self.ip}:{self.port})' class Vulnerability(models.Model): """ 漏洞模型（资产表） 存储发现的漏洞资产，与 Target 关联。 扫描历史记录存储在 VulnerabilitySnapshot 快照表中。 """ # 延迟导入避免循环引用 from apps.common.definitions import VulnSeverity id = models.AutoField(primary_key=True) target = models.ForeignKey( 'targets.Target', on_delete=models.CASCADE, related_name='vulnerabilities', help_text='所属的扫描目标' ) # ==================== 核心字段 ==================== url = models.CharField(max_length=2000, help_text='漏洞所在的URL') vuln_type = models.CharField(max_length=100, help_text='漏洞类型（如 xss, sqli）') severity = models.CharField( max_length=20, choices=VulnSeverity.choices, default=VulnSeverity.UNKNOWN, help_text='严重性（未知/信息/低/中/高/危急）' ) source = models.CharField(max_length=50, blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）') cvss_score = models.DecimalField(max_digits=3, decimal_places=1, null=True, blank=True, help_text='CVSS 评分（0.0-10.0）') description = models.TextField(blank=True, default='', help_text='漏洞描述') raw_output = models.JSONField(blank=True, default=dict, help_text='工具原始输出') # ==================== 时间字段 ==================== created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'vulnerability' verbose_name = '漏洞' verbose_name_plural = '漏洞' ordering = ['-created_at'] indexes = [ models.Index(fields=['target']), models.Index(fields=['vuln_type']), models.Index(fields=['severity']), models.Index(fields=['source']), models.Index(fields=['url']), # url索引，优化智能过滤搜索 models.Index(fields=['-created_at']), ] def __str__(self): return f'{self.vuln_type} - {self.url[:50]}' ================================================ FILE: backend/apps/asset/models/screenshot_models.py ================================================ from django.db import models class ScreenshotSnapshot(models.Model): """ 截图快照 记录：某次扫描中捕获的网站截图 """ id = models.AutoField(primary_key=True) scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='screenshot_snapshots', help_text='所属的扫描任务' ) url = models.TextField(help_text='截图对应的 URL') status_code = models.SmallIntegerField(null=True, blank=True, help_text='HTTP 响应状态码') image = models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'screenshot_snapshot' verbose_name = '截图快照' verbose_name_plural = '截图快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), models.Index(fields=['-created_at']), ] constraints = [ models.UniqueConstraint( fields=['scan', 'url'], name='unique_screenshot_per_scan_snapshot' ), ] def __str__(self): return f'{self.url} (Scan #{self.scan_id})' class Screenshot(models.Model): """ 截图资产 存储：目标的最新截图（从快照同步） """ id = models.AutoField(primary_key=True) target = models.ForeignKey( 'targets.Target', on_delete=models.CASCADE, related_name='screenshots', help_text='所属目标' ) url = models.TextField(help_text='截图对应的 URL') status_code = models.SmallIntegerField(null=True, blank=True, help_text='HTTP 响应状态码') image = models.BinaryField(help_text='截图 WebP 二进制数据（压缩后）') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') updated_at = models.DateTimeField(auto_now=True, help_text='更新时间') class Meta: db_table = 'screenshot' verbose_name = '截图' verbose_name_plural = '截图' ordering = ['-created_at'] indexes = [ models.Index(fields=['target']), models.Index(fields=['-created_at']), ] constraints = [ models.UniqueConstraint( fields=['target', 'url'], name='unique_screenshot_per_target' ), ] def __str__(self): return f'{self.url} (Target #{self.target_id})' ================================================ FILE: backend/apps/asset/models/snapshot_models.py ================================================ from django.db import models from django.contrib.postgres.fields import ArrayField from django.contrib.postgres.indexes import GinIndex from django.core.validators import MinValueValidator, MaxValueValidator class SubdomainSnapshot(models.Model): """子域名快照""" id = models.AutoField(primary_key=True) scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='subdomain_snapshots', help_text='所属的扫描任务' ) name = models.CharField(max_length=1000, help_text='子域名名称') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'subdomain_snapshot' verbose_name = '子域名快照' verbose_name_plural = '子域名快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), models.Index(fields=['name']), models.Index(fields=['-created_at']), # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='subdomain_snap_name_trgm', fields=['name'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 唯一约束：同一次扫描中，同一个子域名只能记录一次 models.UniqueConstraint( fields=['scan', 'name'], name='unique_subdomain_per_scan_snapshot' ), ] def __str__(self): return f'{self.name} (Scan #{self.scan_id})' class WebsiteSnapshot(models.Model): """ 网站快照 记录：某次扫描中发现的网站 """ id = models.AutoField(primary_key=True) scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='website_snapshots', help_text='所属的扫描任务' ) # 扫描结果数据 url = models.TextField(help_text='站点URL') host = models.CharField(max_length=253, blank=True, default='', help_text='主机名（域名或IP地址）') title = models.TextField(blank=True, default='', help_text='页面标题') status_code = models.IntegerField(null=True, blank=True, help_text='HTTP状态码') content_length = models.BigIntegerField(null=True, blank=True, help_text='内容长度') location = models.TextField(blank=True, default='', help_text='重定向位置') webserver = models.TextField(blank=True, default='', help_text='Web服务器') content_type = models.TextField(blank=True, default='', help_text='内容类型') tech = ArrayField( models.CharField(max_length=100), blank=True, default=list, help_text='技术栈' ) response_body = models.TextField(blank=True, default='', help_text='HTTP响应体') vhost = models.BooleanField(null=True, blank=True, help_text='虚拟主机标志') response_headers = models.TextField( blank=True, default='', help_text='原始HTTP响应头' ) created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'website_snapshot' verbose_name = '网站快照' verbose_name_plural = '网站快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), models.Index(fields=['url']), models.Index(fields=['host']), # host索引，优化根据主机名查询 models.Index(fields=['title']), # title索引，优化标题搜索 models.Index(fields=['-created_at']), GinIndex(fields=['tech']), # GIN索引，优化数组字段查询 # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='ws_snap_resp_hdr_trgm', fields=['response_headers'], opclasses=['gin_trgm_ops'] ), GinIndex( name='ws_snap_url_trgm', fields=['url'], opclasses=['gin_trgm_ops'] ), GinIndex( name='ws_snap_title_trgm', fields=['title'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 唯一约束：同一次扫描中，同一个URL只能记录一次 models.UniqueConstraint( fields=['scan', 'url'], name='unique_website_per_scan_snapshot' ), ] def __str__(self): return f'{self.url} (Scan #{self.scan_id})' class DirectorySnapshot(models.Model): """ 目录快照 记录：某次扫描中发现的目录 """ id = models.AutoField(primary_key=True) scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='directory_snapshots', help_text='所属的扫描任务' ) # 扫描结果数据 url = models.CharField(max_length=2000, help_text='目录URL') status = models.IntegerField(null=True, blank=True, help_text='HTTP状态码') content_length = models.BigIntegerField(null=True, blank=True, help_text='内容长度') words = models.IntegerField(null=True, blank=True, help_text='响应体中单词数量（按空格分割）') lines = models.IntegerField(null=True, blank=True, help_text='响应体行数（按换行符分割）') content_type = models.CharField(max_length=200, blank=True, default='', help_text='响应头 Content-Type 值') duration = models.BigIntegerField(null=True, blank=True, help_text='请求耗时（单位：纳秒）') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'directory_snapshot' verbose_name = '目录快照' verbose_name_plural = '目录快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), models.Index(fields=['url']), models.Index(fields=['status']), # 状态码索引，优化筛选 models.Index(fields=['content_type']), # content_type索引，优化内容类型搜索 models.Index(fields=['-created_at']), # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='dir_snap_url_trgm', fields=['url'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 唯一约束：同一次扫描中，同一个目录URL只能记录一次 models.UniqueConstraint( fields=['scan', 'url'], name='unique_directory_per_scan_snapshot' ), ] def __str__(self): return f'{self.url} (Scan #{self.scan_id})' class HostPortMappingSnapshot(models.Model): """ 主机端口映射快照表 设计特点： - 存储某次扫描中发现的主机（host）、IP、端口的三元映射关系 - 主关联 scan_id，记录扫描历史 - scan + host + ip + port 组成复合唯一约束 """ id = models.AutoField(primary_key=True) # ==================== 关联字段 ==================== scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='host_port_mapping_snapshots', help_text='所属的扫描任务（主关联）' ) # ==================== 核心字段 ==================== host = models.CharField( max_length=1000, blank=False, help_text='主机名（域名或IP）' ) ip = models.GenericIPAddressField( blank=False, help_text='IP地址' ) port = models.IntegerField( blank=False, validators=[ MinValueValidator(1, message='端口号必须大于等于1'), MaxValueValidator(65535, message='端口号必须小于等于65535') ], help_text='端口号（1-65535）' ) # ==================== 时间字段 ==================== created_at = models.DateTimeField( auto_now_add=True, help_text='创建时间' ) class Meta: db_table = 'host_port_mapping_snapshot' verbose_name = '主机端口映射快照' verbose_name_plural = '主机端口映射快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), # 优化按扫描查询 models.Index(fields=['host']), # 优化按主机名查询 models.Index(fields=['ip']), # 优化按IP查询 models.Index(fields=['port']), # 优化按端口查询 models.Index(fields=['host', 'ip']), # 优化组合查询 models.Index(fields=['scan', 'host']), # 优化扫描+主机查询 models.Index(fields=['-created_at']), # 优化时间排序 ] constraints = [ # 复合唯一约束：同一次扫描中，scan + host + ip + port 组合唯一 models.UniqueConstraint( fields=['scan', 'host', 'ip', 'port'], name='unique_scan_host_ip_port_snapshot' ), ] def __str__(self): return f'{self.host} ({self.ip}:{self.port}) [Scan #{self.scan_id}]' class EndpointSnapshot(models.Model): """ 端点快照 记录：某次扫描中发现的端点 """ id = models.AutoField(primary_key=True) scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='endpoint_snapshots', help_text='所属的扫描任务' ) # 扫描结果数据 url = models.TextField(help_text='端点URL') host = models.CharField( max_length=253, blank=True, default='', help_text='主机名（域名或IP地址）' ) title = models.TextField(blank=True, default='', help_text='页面标题') status_code = models.IntegerField(null=True, blank=True, help_text='HTTP状态码') content_length = models.IntegerField(null=True, blank=True, help_text='内容长度') location = models.TextField(blank=True, default='', help_text='重定向位置') webserver = models.TextField(blank=True, default='', help_text='Web服务器') content_type = models.TextField(blank=True, default='', help_text='内容类型') tech = ArrayField( models.CharField(max_length=100), blank=True, default=list, help_text='技术栈' ) response_body = models.TextField(blank=True, default='', help_text='HTTP响应体') vhost = models.BooleanField(null=True, blank=True, help_text='虚拟主机标志') matched_gf_patterns = ArrayField( models.CharField(max_length=100), blank=True, default=list, help_text='匹配的GF模式列表' ) response_headers = models.TextField( blank=True, default='', help_text='原始HTTP响应头' ) created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'endpoint_snapshot' verbose_name = '端点快照' verbose_name_plural = '端点快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), models.Index(fields=['url']), models.Index(fields=['host']), # host索引，优化根据主机名查询 models.Index(fields=['title']), # title索引，优化标题搜索 models.Index(fields=['status_code']), # 状态码索引，优化筛选 models.Index(fields=['webserver']), # webserver索引，优化服务器搜索 models.Index(fields=['-created_at']), GinIndex(fields=['tech']), # GIN索引，优化数组字段查询 # pg_trgm GIN 索引，支持 LIKE '%keyword%' 模糊搜索 GinIndex( name='ep_snap_resp_hdr_trgm', fields=['response_headers'], opclasses=['gin_trgm_ops'] ), GinIndex( name='ep_snap_url_trgm', fields=['url'], opclasses=['gin_trgm_ops'] ), GinIndex( name='ep_snap_title_trgm', fields=['title'], opclasses=['gin_trgm_ops'] ), ] constraints = [ # 唯一约束：同一次扫描中，同一个URL只能记录一次 models.UniqueConstraint( fields=['scan', 'url'], name='unique_endpoint_per_scan_snapshot' ), ] def __str__(self): return f'{self.url} (Scan #{self.scan_id})' class VulnerabilitySnapshot(models.Model): """ 漏洞快照 记录：某次扫描中发现的漏洞 """ # 延迟导入避免循环引用 from apps.common.definitions import VulnSeverity id = models.AutoField(primary_key=True) scan = models.ForeignKey( 'scan.Scan', on_delete=models.CASCADE, related_name='vulnerability_snapshots', help_text='所属的扫描任务' ) # ==================== 核心字段 ==================== url = models.CharField(max_length=2000, help_text='漏洞所在的URL') vuln_type = models.CharField(max_length=100, help_text='漏洞类型（如 xss, sqli）') severity = models.CharField( max_length=20, choices=VulnSeverity.choices, default=VulnSeverity.UNKNOWN, help_text='严重性（未知/信息/低/中/高/危急）' ) source = models.CharField(max_length=50, blank=True, default='', help_text='来源工具（如 dalfox, nuclei, crlfuzz）') cvss_score = models.DecimalField(max_digits=3, decimal_places=1, null=True, blank=True, help_text='CVSS 评分（0.0-10.0）') description = models.TextField(blank=True, default='', help_text='漏洞描述') raw_output = models.JSONField(blank=True, default=dict, help_text='工具原始输出') # ==================== 时间字段 ==================== created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') class Meta: db_table = 'vulnerability_snapshot' verbose_name = '漏洞快照' verbose_name_plural = '漏洞快照' ordering = ['-created_at'] indexes = [ models.Index(fields=['scan']), models.Index(fields=['url']), # url索引，优化URL搜索 models.Index(fields=['vuln_type']), models.Index(fields=['severity']), models.Index(fields=['source']), models.Index(fields=['-created_at']), ] def __str__(self): return f'{self.vuln_type} - {self.url[:50]} (Scan #{self.scan_id})' ================================================ FILE: backend/apps/asset/models/statistics_models.py ================================================ from django.db import models class AssetStatistics(models.Model): """ 资产统计表 存储预聚合的全局统计数据，避免仪表盘实时 COUNT 大表。 由定时任务（Prefect Flow）定期刷新。 """ id = models.AutoField(primary_key=True) # ==================== 当前统计字段 ==================== total_targets = models.IntegerField(default=0, help_text='目标总数') total_subdomains = models.IntegerField(default=0, help_text='子域名总数') total_ips = models.IntegerField(default=0, help_text='IP地址总数') total_endpoints = models.IntegerField(default=0, help_text='端点总数') total_websites = models.IntegerField(default=0, help_text='网站总数') total_vulns = models.IntegerField(default=0, help_text='漏洞总数') total_assets = models.IntegerField(default=0, help_text='总资产数（子域名+IP+端点+网站）') # ==================== 上次统计字段（用于计算趋势）==================== prev_targets = models.IntegerField(default=0, help_text='上次目标总数') prev_subdomains = models.IntegerField(default=0, help_text='上次子域名总数') prev_ips = models.IntegerField(default=0, help_text='上次IP地址总数') prev_endpoints = models.IntegerField(default=0, help_text='上次端点总数') prev_websites = models.IntegerField(default=0, help_text='上次网站总数') prev_vulns = models.IntegerField(default=0, help_text='上次漏洞总数') prev_assets = models.IntegerField(default=0, help_text='上次总资产数') # ==================== 时间字段 ==================== updated_at = models.DateTimeField(auto_now=True, help_text='最后更新时间') class Meta: db_table = 'asset_statistics' verbose_name = '资产统计' verbose_name_plural = '资产统计' def __str__(self): return f'AssetStatistics (updated: {self.updated_at})' @classmethod def get_or_create_singleton(cls) -> 'AssetStatistics': """获取或创建单例统计记录""" obj, _ = cls.objects.get_or_create(pk=1) return obj class StatisticsHistory(models.Model): """ 统计历史表（用于折线图） 每天记录一条快照，用于展示趋势。 由定时任务在刷新统计时自动写入。 """ date = models.DateField(unique=True, help_text='统计日期') # 各类资产数量 total_targets = models.IntegerField(default=0, help_text='目标总数') total_subdomains = models.IntegerField(default=0, help_text='子域名总数') total_ips = models.IntegerField(default=0, help_text='IP地址总数') total_endpoints = models.IntegerField(default=0, help_text='端点总数') total_websites = models.IntegerField(default=0, help_text='网站总数') total_vulns = models.IntegerField(default=0, help_text='漏洞总数') total_assets = models.IntegerField(default=0, help_text='总资产数') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') updated_at = models.DateTimeField(auto_now=True, help_text='更新时间') class Meta: db_table = 'statistics_history' verbose_name = '统计历史' verbose_name_plural = '统计历史' ordering = ['-date'] indexes = [ models.Index(fields=['date']), ] def __str__(self): return f'StatisticsHistory ({self.date})' ================================================ FILE: backend/apps/asset/repositories/__init__.py ================================================ """Asset Repositories - 数据访问层""" # 资产模块 Repositories from .asset import ( DjangoSubdomainRepository, DjangoWebSiteRepository, DjangoDirectoryRepository, DjangoHostPortMappingRepository, DjangoEndpointRepository, ) # 快照模块 Repositories from .snapshot import ( DjangoSubdomainSnapshotRepository, DjangoHostPortMappingSnapshotRepository, DjangoWebsiteSnapshotRepository, DjangoDirectorySnapshotRepository, DjangoEndpointSnapshotRepository, ) # 统计模块 Repository from .statistics_repository import AssetStatisticsRepository __all__ = [ # 资产模块 'DjangoSubdomainRepository', 'DjangoWebSiteRepository', 'DjangoDirectoryRepository', 'DjangoHostPortMappingRepository', 'DjangoEndpointRepository', # 快照模块 'DjangoSubdomainSnapshotRepository', 'DjangoHostPortMappingSnapshotRepository', 'DjangoWebsiteSnapshotRepository', 'DjangoDirectorySnapshotRepository', 'DjangoEndpointSnapshotRepository', # 统计模块 'AssetStatisticsRepository', ] ================================================ FILE: backend/apps/asset/repositories/asset/__init__.py ================================================ """Asset Repositories - 数据访问层""" from .subdomain_repository import DjangoSubdomainRepository from .website_repository import DjangoWebSiteRepository from .directory_repository import DjangoDirectoryRepository from .host_port_mapping_repository import DjangoHostPortMappingRepository from .endpoint_repository import DjangoEndpointRepository __all__ = [ 'DjangoSubdomainRepository', 'DjangoWebSiteRepository', 'DjangoDirectoryRepository', 'DjangoHostPortMappingRepository', 'DjangoEndpointRepository', ] ================================================ FILE: backend/apps/asset/repositories/asset/directory_repository.py ================================================ """ Django ORM 实现的 Directory Repository """ import logging from typing import List, Iterator from django.db import transaction from apps.asset.models.asset_models import Directory from apps.asset.dtos import DirectoryDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoDirectoryRepository: """Django ORM 实现的 Directory Repository""" def bulk_upsert(self, items: List[DirectoryDTO]) -> int: """ 批量创建或更新 Directory（upsert） 存在则更新所有字段，不存在则创建。 使用 Django 原生 update_conflicts。 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: Directory DTO 列表 Returns: int: 处理的记录数 """ if not items: return 0 try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, Directory) # 直接从 DTO 字段构建 Model directories = [ Directory( target_id=item.target_id, url=item.url, status=item.status, content_length=item.content_length, words=item.words, lines=item.lines, content_type=item.content_type or '', duration=item.duration ) for item in unique_items ] with transaction.atomic(): Directory.objects.bulk_create( directories, update_conflicts=True, unique_fields=['target', 'url'], update_fields=[ 'status', 'content_length', 'words', 'lines', 'content_type', 'duration' ], batch_size=1000 ) logger.debug(f"批量 upsert Directory 成功: {len(unique_items)} 条") return len(unique_items) except Exception as e: logger.error(f"批量 upsert Directory 失败: {e}") raise def bulk_create_ignore_conflicts(self, items: List[DirectoryDTO]) -> int: """ 批量创建 Directory（存在即跳过） 与 bulk_upsert 不同，此方法不会更新已存在的记录。 适用于批量添加场景，只提供 URL，没有其他字段数据。 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: Directory DTO 列表 Returns: int: 处理的记录数 """ if not items: return 0 try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, Directory) directories = [ Directory( target_id=item.target_id, url=item.url, status=item.status, content_length=item.content_length, words=item.words, lines=item.lines, content_type=item.content_type or '', duration=item.duration ) for item in unique_items ] with transaction.atomic(): Directory.objects.bulk_create( directories, ignore_conflicts=True, batch_size=1000 ) logger.debug(f"批量创建 Directory 成功（ignore_conflicts）: {len(unique_items)} 条") return len(unique_items) except Exception as e: logger.error(f"批量创建 Directory 失败: {e}") raise def count_by_target(self, target_id: int) -> int: """统计目标下的目录总数""" return Directory.objects.filter(target_id=target_id).count() def get_all(self): """获取所有目录""" return Directory.objects.all().order_by('-created_at') def get_by_target(self, target_id: int): """获取目标下的所有目录""" return Directory.objects.filter(target_id=target_id).order_by('-created_at') def get_urls_for_export(self, target_id: int, batch_size: int = 1000) -> Iterator[str]: """流式导出目标下的所有目录 URL""" try: queryset = ( Directory.objects .filter(target_id=target_id) .values_list('url', flat=True) .order_by('url') .iterator(chunk_size=batch_size) ) for url in queryset: yield url except Exception as e: logger.error("流式导出目录 URL 失败 - Target ID: %s, 错误: %s", target_id, e) raise def iter_raw_data_for_export( self, target_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID batch_size: 每批数据量 Yields: 包含所有目录字段的字典 """ qs = ( Directory.objects .filter(target_id=target_id) .values( 'url', 'status', 'content_length', 'words', 'lines', 'content_type', 'duration', 'created_at' ) .order_by('url') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/asset/endpoint_repository.py ================================================ """Endpoint Repository - Django ORM 实现""" import logging from typing import List, Iterator from apps.asset.models import Endpoint from apps.asset.dtos.asset import EndpointDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk from django.db import transaction logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoEndpointRepository: """端点 Repository - 负责端点表的数据访问""" def bulk_upsert(self, items: List[EndpointDTO]) -> int: """ 批量创建或更新端点（upsert） 存在则更新所有字段，不存在则创建。 使用 Django 原生 update_conflicts。 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: 端点 DTO 列表 Returns: int: 处理的记录数 """ if not items: return 0 try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, Endpoint) # 直接从 DTO 字段构建 Model endpoints = [ Endpoint( target_id=item.target_id, url=item.url, host=item.host or '', title=item.title or '', status_code=item.status_code, content_length=item.content_length, webserver=item.webserver or '', response_body=item.response_body or '', content_type=item.content_type or '', tech=item.tech if item.tech else [], vhost=item.vhost, location=item.location or '', matched_gf_patterns=item.matched_gf_patterns if item.matched_gf_patterns else [], response_headers=item.response_headers if item.response_headers else '' ) for item in unique_items ] with transaction.atomic(): Endpoint.objects.bulk_create( endpoints, update_conflicts=True, unique_fields=['url', 'target'], update_fields=[ 'host', 'title', 'status_code', 'content_length', 'webserver', 'response_body', 'content_type', 'tech', 'vhost', 'location', 'matched_gf_patterns', 'response_headers' ], batch_size=1000 ) logger.debug(f"批量 upsert 端点成功: {len(unique_items)} 条") return len(unique_items) except Exception as e: logger.error(f"批量 upsert 端点失败: {e}") raise def get_all(self): """获取所有端点（全局查询）""" return Endpoint.objects.all().order_by('-created_at') def get_by_target(self, target_id: int): """ 获取目标下的所有端点 Args: target_id: 目标 ID Returns: QuerySet: 端点查询集 """ return Endpoint.objects.filter(target_id=target_id).order_by('-created_at') def count_by_target(self, target_id: int) -> int: """ 统计目标下的端点数量 Args: target_id: 目标 ID Returns: int: 端点数量 """ return Endpoint.objects.filter(target_id=target_id).count() def bulk_create_ignore_conflicts(self, items: List[EndpointDTO]) -> int: """ 批量创建端点（存在即跳过） 与 bulk_upsert 不同，此方法不会更新已存在的记录。 适用于快速扫描场景，只提供 URL，没有其他字段数据。 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: 端点 DTO 列表 Returns: int: 处理的记录数 """ if not items: return 0 try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, Endpoint) # 直接从 DTO 字段构建 Model endpoints = [ Endpoint( target_id=item.target_id, url=item.url, host=item.host or '', title=item.title or '', status_code=item.status_code, content_length=item.content_length, webserver=item.webserver or '', response_body=item.response_body or '', content_type=item.content_type or '', tech=item.tech if item.tech else [], vhost=item.vhost, location=item.location or '', matched_gf_patterns=item.matched_gf_patterns if item.matched_gf_patterns else [], response_headers=item.response_headers if item.response_headers else '' ) for item in unique_items ] with transaction.atomic(): Endpoint.objects.bulk_create( endpoints, ignore_conflicts=True, batch_size=1000 ) logger.debug(f"批量创建端点成功（ignore_conflicts）: {len(unique_items)} 条") return len(unique_items) except Exception as e: logger.error(f"批量创建端点失败: {e}") raise def iter_raw_data_for_export( self, target_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID batch_size: 每批数据量 Yields: 包含所有端点字段的字典 """ qs = ( Endpoint.objects .filter(target_id=target_id) .values( 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at' ) .order_by('url') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/asset/host_port_mapping_repository.py ================================================ """HostPortMapping Repository - Django ORM 实现""" import logging from typing import List, Iterator, Dict, Optional from django.db.models import QuerySet, Min from apps.asset.models.asset_models import HostPortMapping from apps.asset.dtos.asset import HostPortMappingDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoHostPortMappingRepository: """HostPortMapping Repository - Django ORM 实现 职责：纯数据访问，不包含业务逻辑 """ def bulk_create_ignore_conflicts(self, items: List[HostPortMappingDTO]) -> int: """ 批量创建主机端口关联（忽略冲突） 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: 主机端口关联 DTO 列表 Returns: int: 实际创建的记录数 """ try: logger.debug("准备批量创建主机端口关联 - 数量: %d", len(items)) if not items: logger.debug("主机端口关联为空，跳过创建") return 0 # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, HostPortMapping) records = [ HostPortMapping( target_id=item.target_id, host=item.host, ip=item.ip, port=item.port ) for item in unique_items ] created = HostPortMapping.objects.bulk_create( records, ignore_conflicts=True ) created_count = len(created) if created else 0 logger.debug("主机端口关联创建完成 - 数量: %d", created_count) return created_count except Exception as e: logger.error( "批量创建主机端口关联失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_for_export(self, target_id: int, batch_size: int = 1000): queryset = ( HostPortMapping.objects .filter(target_id=target_id) .order_by("host", "port") .values("host", "port") .iterator(chunk_size=batch_size) ) for item in queryset: yield item def get_ips_for_export(self, target_id: int, batch_size: int = 1000) -> Iterator[str]: """流式导出目标下的所有唯一 IP 地址。""" queryset = ( HostPortMapping.objects .filter(target_id=target_id) .values_list("ip", flat=True) .distinct() .order_by("ip") .iterator(chunk_size=batch_size) ) for ip in queryset: yield ip def get_queryset_by_target(self, target_id: int) -> QuerySet: """获取目标下的 QuerySet""" return HostPortMapping.objects.filter(target_id=target_id) def get_all_queryset(self) -> QuerySet: """获取所有记录的 QuerySet""" return HostPortMapping.objects.all() def get_queryset_by_ip(self, ip: str, target_id: Optional[int] = None) -> QuerySet: """获取指定 IP 的 QuerySet""" qs = HostPortMapping.objects.filter(ip=ip) if target_id: qs = qs.filter(target_id=target_id) return qs def iter_raw_data_for_export( self, target_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID batch_size: 每批数据量 Yields: { 'ip': '192.168.1.1', 'host': 'example.com', 'port': 80, 'created_at': datetime } """ qs = ( HostPortMapping.objects .filter(target_id=target_id) .values('ip', 'host', 'port', 'created_at') .order_by('ip', 'host', 'port') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/asset/subdomain_repository.py ================================================ """Subdomain Repository - Django ORM 实现""" import logging from typing import List, Iterator from django.db import transaction from apps.asset.models.asset_models import Subdomain from apps.asset.dtos import SubdomainDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoSubdomainRepository: """基于 Django ORM 的子域名仓储实现""" def bulk_create_ignore_conflicts(self, items: List[SubdomainDTO]) -> None: """ 批量创建子域名，忽略冲突 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: 子域名 DTO 列表 """ if not items: return try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, Subdomain) subdomain_objects = [ Subdomain( name=item.name, target_id=item.target_id, ) for item in unique_items ] with transaction.atomic(): Subdomain.objects.bulk_create( subdomain_objects, ignore_conflicts=True, ) logger.debug(f"成功处理 {len(unique_items)} 条子域名记录") except Exception as e: logger.error(f"批量插入子域名失败: {e}") raise def get_all(self): """获取所有子域名""" return Subdomain.objects.all().order_by('-created_at') def get_by_target(self, target_id: int): """获取目标下的所有子域名""" return Subdomain.objects.filter(target_id=target_id).order_by('-created_at') def count_by_target(self, target_id: int) -> int: """统计目标下的域名数量""" return Subdomain.objects.filter(target_id=target_id).count() def get_domains_for_export(self, target_id: int, batch_size: int = 1000) -> Iterator[str]: """流式导出域名""" queryset = Subdomain.objects.filter( target_id=target_id ).only('name').iterator(chunk_size=batch_size) for subdomain in queryset: yield subdomain.name def get_by_names_and_target_id(self, names: set, target_id: int) -> dict: """根据域名列表和目标ID批量查询 Subdomain""" subdomains = Subdomain.objects.filter( name__in=names, target_id=target_id ).only('id', 'name') return {sd.name: sd for sd in subdomains} def iter_raw_data_for_export( self, target_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID batch_size: 每批数据量 Yields: {'name': 'sub.example.com', 'created_at': datetime} """ qs = ( Subdomain.objects .filter(target_id=target_id) .values('name', 'created_at') .order_by('name') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/asset/website_repository.py ================================================ """ Django ORM 实现的 WebSite Repository """ import logging from typing import List, Generator, Optional, Iterator from django.db import transaction from apps.asset.models.asset_models import WebSite from apps.asset.dtos import WebSiteDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoWebSiteRepository: """Django ORM 实现的 WebSite Repository""" def bulk_upsert(self, items: List[WebSiteDTO]) -> int: """ 批量创建或更新 WebSite（upsert） 存在则更新所有字段，不存在则创建。 使用 Django 原生 update_conflicts。 注意：自动按模型唯一约束去重，保留最后一条记录。 Args: items: WebSite DTO 列表 Returns: int: 处理的记录数 """ if not items: return 0 try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, WebSite) # 直接从 DTO 字段构建 Model websites = [ WebSite( target_id=item.target_id, url=item.url, host=item.host or '', location=item.location or '', title=item.title or '', webserver=item.webserver or '', response_body=item.response_body or '', content_type=item.content_type or '', tech=item.tech if item.tech else [], status_code=item.status_code, content_length=item.content_length, vhost=item.vhost, response_headers=item.response_headers if item.response_headers else '' ) for item in unique_items ] with transaction.atomic(): WebSite.objects.bulk_create( websites, update_conflicts=True, unique_fields=['url', 'target'], update_fields=[ 'host', 'location', 'title', 'webserver', 'response_body', 'content_type', 'tech', 'status_code', 'content_length', 'vhost', 'response_headers' ], batch_size=1000 ) logger.debug(f"批量 upsert WebSite 成功: {len(unique_items)} 条") return len(unique_items) except Exception as e: logger.error(f"批量 upsert WebSite 失败: {e}") raise def get_urls_for_export(self, target_id: int, batch_size: int = 1000) -> Generator[str, None, None]: """ 流式导出目标下的所有站点 URL """ try: queryset = WebSite.objects.filter( target_id=target_id ).values_list('url', flat=True).iterator(chunk_size=batch_size) for url in queryset: yield url except Exception as e: logger.error(f"流式导出站点 URL 失败 - Target ID: {target_id}, 错误: {e}") raise def get_all(self): """获取所有网站""" return WebSite.objects.all().order_by('-created_at') def get_by_target(self, target_id: int): """获取目标下的所有网站""" return WebSite.objects.filter(target_id=target_id).order_by('-created_at') def count_by_target(self, target_id: int) -> int: """统计目标下的站点总数""" return WebSite.objects.filter(target_id=target_id).count() def get_by_url(self, url: str, target_id: int) -> Optional[int]: """根据 URL 和 target_id 查找站点 ID""" website = WebSite.objects.filter(url=url, target_id=target_id).first() return website.id if website else None def bulk_create_ignore_conflicts(self, items: List[WebSiteDTO]) -> int: """ 批量创建 WebSite（存在即跳过） 注意：自动按模型唯一约束去重，保留最后一条记录。 """ if not items: return 0 try: # 自动按模型唯一约束去重 unique_items = deduplicate_for_bulk(items, WebSite) websites = [ WebSite( target_id=item.target_id, url=item.url, host=item.host or '', location=item.location or '', title=item.title or '', webserver=item.webserver or '', response_body=item.response_body or '', content_type=item.content_type or '', tech=item.tech if item.tech else [], status_code=item.status_code, content_length=item.content_length, vhost=item.vhost, response_headers=item.response_headers if item.response_headers else '' ) for item in unique_items ] with transaction.atomic(): WebSite.objects.bulk_create( websites, ignore_conflicts=True, batch_size=1000 ) logger.debug(f"批量创建 WebSite 成功（ignore_conflicts）: {len(unique_items)} 条") return len(unique_items) except Exception as e: logger.error(f"批量创建 WebSite 失败: {e}") raise def iter_raw_data_for_export( self, target_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID batch_size: 每批数据量 Yields: 包含所有网站字段的字典 """ qs = ( WebSite.objects .filter(target_id=target_id) .values( 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'created_at' ) .order_by('url') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/snapshot/__init__.py ================================================ """Snapshot Repositories - 数据访问层""" from .subdomain_snapshot_repository import DjangoSubdomainSnapshotRepository from .host_port_mapping_snapshot_repository import DjangoHostPortMappingSnapshotRepository from .website_snapshot_repository import DjangoWebsiteSnapshotRepository from .directory_snapshot_repository import DjangoDirectorySnapshotRepository from .endpoint_snapshot_repository import DjangoEndpointSnapshotRepository from .vulnerability_snapshot_repository import DjangoVulnerabilitySnapshotRepository __all__ = [ 'DjangoSubdomainSnapshotRepository', 'DjangoHostPortMappingSnapshotRepository', 'DjangoWebsiteSnapshotRepository', 'DjangoDirectorySnapshotRepository', 'DjangoEndpointSnapshotRepository', 'DjangoVulnerabilitySnapshotRepository', ] ================================================ FILE: backend/apps/asset/repositories/snapshot/directory_snapshot_repository.py ================================================ """Directory Snapshot Repository - 目录快照数据访问层""" import logging from typing import List, Iterator from django.db import transaction from apps.asset.models import DirectorySnapshot from apps.asset.dtos.snapshot import DirectorySnapshotDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoDirectorySnapshotRepository: """ 目录快照仓储（Django ORM 实现） 负责目录快照表的数据访问操作 """ def save_snapshots(self, items: List[DirectorySnapshotDTO]) -> None: """ 批量保存目录快照记录 使用 ignore_conflicts 策略，如果快照已存在（相同 scan + url）则跳过 注意：会自动按 (scan_id, url) 去重，保留最后一条记录。 Args: items: 目录快照 DTO 列表 Raises: ValueError: items 为空 Exception: 数据库操作失败 """ if not items: logger.warning("目录快照列表为空，跳过保存") return try: # 根据模型唯一约束自动去重 unique_items = deduplicate_for_bulk(items, DirectorySnapshot) # 转换为 Django 模型对象 snapshot_objects = [ DirectorySnapshot( scan_id=item.scan_id, url=item.url, status=item.status, content_length=item.content_length, words=item.words, lines=item.lines, content_type=item.content_type, duration=item.duration ) for item in unique_items ] with transaction.atomic(): # 批量插入，忽略冲突 # 如果 scan + url 已存在，跳过 DirectorySnapshot.objects.bulk_create( snapshot_objects, ignore_conflicts=True ) logger.debug("成功保存 %d 条目录快照记录", len(unique_items)) except Exception as e: logger.error( "批量保存目录快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_by_scan(self, scan_id: int): return DirectorySnapshot.objects.filter(scan_id=scan_id).order_by('-created_at') def get_all(self): return DirectorySnapshot.objects.all().order_by('-created_at') def iter_raw_data_for_export( self, scan_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID batch_size: 每批数据量 Yields: 包含所有目录字段的字典 """ qs = ( DirectorySnapshot.objects .filter(scan_id=scan_id) .values( 'url', 'status', 'content_length', 'words', 'lines', 'content_type', 'duration', 'created_at' ) .order_by('url') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/snapshot/endpoint_snapshot_repository.py ================================================ """EndpointSnapshot Repository - Django ORM 实现""" import logging from typing import List, Iterator from apps.asset.models.snapshot_models import EndpointSnapshot from apps.asset.dtos.snapshot import EndpointSnapshotDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoEndpointSnapshotRepository: """端点快照 Repository - 负责端点快照表的数据访问""" def save_snapshots(self, items: List[EndpointSnapshotDTO]) -> None: """ 保存端点快照 注意：会自动按 (scan_id, url) 去重，保留最后一条记录。 Args: items: 端点快照 DTO 列表 Note: - 保存完整的快照数据 - 基于唯一约束 (scan + url) 自动去重 """ try: logger.debug("准备保存端点快照 - 数量: %d", len(items)) if not items: logger.debug("端点快照为空，跳过保存") return # 根据模型唯一约束自动去重 unique_items = deduplicate_for_bulk(items, EndpointSnapshot) # 构建快照对象 snapshots = [] for item in unique_items: snapshots.append(EndpointSnapshot( scan_id=item.scan_id, url=item.url, host=item.host if item.host else '', title=item.title, status_code=item.status_code, content_length=item.content_length, location=item.location, webserver=item.webserver, content_type=item.content_type, tech=item.tech if item.tech else [], response_body=item.response_body, vhost=item.vhost, matched_gf_patterns=item.matched_gf_patterns if item.matched_gf_patterns else [], response_headers=item.response_headers if item.response_headers else '' )) # 批量创建（忽略冲突，基于唯一约束去重） EndpointSnapshot.objects.bulk_create( snapshots, ignore_conflicts=True ) logger.debug("端点快照保存成功 - 数量: %d", len(snapshots)) except Exception as e: logger.error( "保存端点快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_by_scan(self, scan_id: int): return EndpointSnapshot.objects.filter(scan_id=scan_id).order_by('-created_at') def get_all(self): return EndpointSnapshot.objects.all().order_by('-created_at') def iter_raw_data_for_export( self, scan_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID batch_size: 每批数据量 Yields: 包含所有端点字段的字典 """ qs = ( EndpointSnapshot.objects .filter(scan_id=scan_id) .values( 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at' ) .order_by('url') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/snapshot/host_port_mapping_snapshot_repository.py ================================================ """HostPortMappingSnapshot Repository - Django ORM 实现""" import logging from typing import List, Iterator from apps.asset.models.snapshot_models import HostPortMappingSnapshot from apps.asset.dtos.snapshot import HostPortMappingSnapshotDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoHostPortMappingSnapshotRepository: """HostPortMappingSnapshot Repository - Django ORM 实现，负责主机端口映射快照表的数据访问""" def save_snapshots(self, items: List[HostPortMappingSnapshotDTO]) -> None: """ 保存主机端口关联快照 注意：会自动按 (scan_id, host, ip, port) 去重，保留最后一条记录。 Args: items: 主机端口关联快照 DTO 列表 Note: - 保存完整的快照数据 - 基于唯一约束 (scan + host + ip + port) 自动去重 """ try: logger.debug("准备保存主机端口关联快照 - 数量: %d", len(items)) if not items: logger.debug("主机端口关联快照为空，跳过保存") return # 根据模型唯一约束自动去重 unique_items = deduplicate_for_bulk(items, HostPortMappingSnapshot) # 构建快照对象 snapshots = [] for item in unique_items: snapshots.append(HostPortMappingSnapshot( scan_id=item.scan_id, host=item.host, ip=item.ip, port=item.port )) # 批量创建（忽略冲突，基于唯一约束去重） HostPortMappingSnapshot.objects.bulk_create( snapshots, ignore_conflicts=True ) logger.debug("主机端口关联快照保存成功 - 数量: %d", len(snapshots)) except Exception as e: logger.error( "保存主机端口关联快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_ip_aggregation_by_scan(self, scan_id: int, filter_query: str = None): from django.db.models import Min from apps.common.utils.filter_utils import apply_filters qs = HostPortMappingSnapshot.objects.filter(scan_id=scan_id) # 应用智能过滤 if filter_query: field_mapping = { 'ip': 'ip', 'port': 'port', 'host': 'host', } qs = apply_filters(qs, filter_query, field_mapping) ip_aggregated = ( qs .values('ip') .annotate( created_at=Min('created_at') ) .order_by('-created_at') ) results = [] for item in ip_aggregated: ip = item['ip'] mappings = ( HostPortMappingSnapshot.objects .filter(scan_id=scan_id, ip=ip) .values('host', 'port') .distinct() ) hosts = sorted({m['host'] for m in mappings}) ports = sorted({m['port'] for m in mappings}) results.append({ 'ip': ip, 'hosts': hosts, 'ports': ports, 'created_at': item['created_at'], }) return results def get_all_ip_aggregation(self, filter_query: str = None): """获取所有 IP 聚合数据""" from django.db.models import Min from apps.common.utils.filter_utils import apply_filters qs = HostPortMappingSnapshot.objects.all() # 应用智能过滤 if filter_query: field_mapping = { 'ip': 'ip', 'port': 'port', 'host': 'host', } qs = apply_filters(qs, filter_query, field_mapping) ip_aggregated = ( qs .values('ip') .annotate(created_at=Min('created_at')) .order_by('-created_at') ) results = [] for item in ip_aggregated: ip = item['ip'] mappings = ( HostPortMappingSnapshot.objects .filter(ip=ip) .values('host', 'port') .distinct() ) hosts = sorted({m['host'] for m in mappings}) ports = sorted({m['port'] for m in mappings}) results.append({ 'ip': ip, 'hosts': hosts, 'ports': ports, 'created_at': item['created_at'], }) return results def get_ips_for_export(self, scan_id: int, batch_size: int = 1000) -> Iterator[str]: """流式导出扫描下的所有唯一 IP 地址。""" queryset = ( HostPortMappingSnapshot.objects .filter(scan_id=scan_id) .values_list("ip", flat=True) .distinct() .order_by("ip") .iterator(chunk_size=batch_size) ) for ip in queryset: yield ip def iter_raw_data_for_export( self, scan_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID batch_size: 每批数据量 Yields: { 'ip': '192.168.1.1', 'host': 'example.com', 'port': 80, 'created_at': datetime } """ qs = ( HostPortMappingSnapshot.objects .filter(scan_id=scan_id) .values('ip', 'host', 'port', 'created_at') .order_by('ip', 'host', 'port') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/snapshot/subdomain_snapshot_repository.py ================================================ """Django ORM 实现的 SubdomainSnapshot Repository""" import logging from typing import List, Iterator from apps.asset.models.snapshot_models import SubdomainSnapshot from apps.asset.dtos import SubdomainSnapshotDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoSubdomainSnapshotRepository: """子域名快照 Repository - 负责子域名快照表的数据访问""" def save_subdomain_snapshots(self, items: List[SubdomainSnapshotDTO]) -> None: """ 保存子域名快照 注意：会自动按 (scan_id, name) 去重，保留最后一条记录。 Args: items: 子域名快照 DTO 列表 Note: - 保存完整的快照数据 - 基于唯一约束自动去重（忽略冲突） """ try: logger.debug("准备保存子域名快照 - 数量: %d", len(items)) if not items: logger.debug("子域名快照为空，跳过保存") return # 根据模型唯一约束自动去重 unique_items = deduplicate_for_bulk(items, SubdomainSnapshot) # 构建快照对象 snapshots = [] for item in unique_items: snapshots.append(SubdomainSnapshot( scan_id=item.scan_id, name=item.name, )) # 批量创建（忽略冲突，基于唯一约束去重） SubdomainSnapshot.objects.bulk_create(snapshots, ignore_conflicts=True) logger.debug("子域名快照保存成功 - 数量: %d", len(snapshots)) except Exception as e: logger.error( "保存子域名快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_by_scan(self, scan_id: int): return SubdomainSnapshot.objects.filter(scan_id=scan_id).order_by('-created_at') def get_all(self): return SubdomainSnapshot.objects.all().order_by('-created_at') def iter_raw_data_for_export( self, scan_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID batch_size: 每批数据量 Yields: {'name': 'sub.example.com', 'created_at': datetime} """ qs = ( SubdomainSnapshot.objects .filter(scan_id=scan_id) .values('name', 'created_at') .order_by('name') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/snapshot/vulnerability_snapshot_repository.py ================================================ """Vulnerability Snapshot Repository - 漏洞快照数据访问层""" import logging from typing import List from django.db import transaction from apps.asset.models import VulnerabilitySnapshot from apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoVulnerabilitySnapshotRepository: """漏洞快照仓储（Django ORM 实现）""" def save_snapshots(self, items: List[VulnerabilitySnapshotDTO]) -> None: """批量保存漏洞快照记录。 使用 ``ignore_conflicts`` 策略，如果快照已存在则跳过。 具体唯一约束由数据库模型控制。 注意：会自动按唯一约束字段去重，保留最后一条记录。 """ if not items: logger.warning("漏洞快照列表为空，跳过保存") return try: # 根据模型唯一约束自动去重 unique_items = deduplicate_for_bulk(items, VulnerabilitySnapshot) snapshot_objects = [ VulnerabilitySnapshot( scan_id=item.scan_id, url=item.url, vuln_type=item.vuln_type, severity=item.severity, source=item.source, cvss_score=item.cvss_score, description=item.description, raw_output=item.raw_output, ) for item in unique_items ] with transaction.atomic(): VulnerabilitySnapshot.objects.bulk_create( snapshot_objects, ignore_conflicts=True, ) logger.debug("成功保存 %d 条漏洞快照记录", len(unique_items)) except Exception as e: logger.error( "批量保存漏洞快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True, ) raise def get_by_scan(self, scan_id: int): """按扫描任务获取漏洞快照 QuerySet。""" return VulnerabilitySnapshot.objects.filter(scan_id=scan_id).order_by("-created_at") def get_all(self): return VulnerabilitySnapshot.objects.all().order_by('-created_at') ================================================ FILE: backend/apps/asset/repositories/snapshot/website_snapshot_repository.py ================================================ """WebsiteSnapshot Repository - Django ORM 实现""" import logging from typing import List, Iterator from apps.asset.models.snapshot_models import WebsiteSnapshot from apps.asset.dtos.snapshot import WebsiteSnapshotDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoWebsiteSnapshotRepository: """网站快照 Repository - 负责网站快照表的数据访问""" def save_snapshots(self, items: List[WebsiteSnapshotDTO]) -> None: """ 保存网站快照 注意：会自动按 (scan_id, url) 去重，保留最后一条记录。 Args: items: 网站快照 DTO 列表 Note: - 保存完整的快照数据 - 基于唯一约束 (scan + subdomain + url) 自动去重 """ try: logger.debug("准备保存网站快照 - 数量: %d", len(items)) if not items: logger.debug("网站快照为空，跳过保存") return # 根据模型唯一约束自动去重 unique_items = deduplicate_for_bulk(items, WebsiteSnapshot) # 构建快照对象 snapshots = [] for item in unique_items: snapshots.append(WebsiteSnapshot( scan_id=item.scan_id, url=item.url, host=item.host, title=item.title, status_code=item.status_code, content_length=item.content_length, location=item.location, webserver=item.webserver, content_type=item.content_type, tech=item.tech if item.tech else [], response_body=item.response_body, vhost=item.vhost, response_headers=item.response_headers if item.response_headers else '' )) # 批量创建（忽略冲突，基于唯一约束去重） WebsiteSnapshot.objects.bulk_create( snapshots, ignore_conflicts=True ) logger.debug("网站快照保存成功 - 数量: %d", len(snapshots)) except Exception as e: logger.error( "保存网站快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_by_scan(self, scan_id: int): return WebsiteSnapshot.objects.filter(scan_id=scan_id).order_by('-created_at') def get_all(self): return WebsiteSnapshot.objects.all().order_by('-created_at') def iter_raw_data_for_export( self, scan_id: int, batch_size: int = 1000 ) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID batch_size: 每批数据量 Yields: 包含所有网站字段的字典 """ qs = ( WebsiteSnapshot.objects .filter(scan_id=scan_id) .values( 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'created_at' ) .order_by('url') ) for row in qs.iterator(chunk_size=batch_size): yield row ================================================ FILE: backend/apps/asset/repositories/statistics_repository.py ================================================ """资产统计 Repository""" import logging from datetime import date, timedelta from typing import Optional, List from apps.asset.models import AssetStatistics, StatisticsHistory logger = logging.getLogger(__name__) class AssetStatisticsRepository: """ 资产统计数据访问层 职责： - 读取/更新预聚合的统计数据 """ def get_statistics(self) -> Optional[AssetStatistics]: """ 获取统计数据 Returns: 统计数据对象，不存在则返回 None """ return AssetStatistics.objects.first() def get_or_create_statistics(self) -> AssetStatistics: """ 获取或创建统计数据（单例） Returns: 统计数据对象 """ return AssetStatistics.get_or_create_singleton() def update_statistics( self, total_targets: int, total_subdomains: int, total_ips: int, total_endpoints: int, total_websites: int, total_vulns: int, ) -> AssetStatistics: """ 更新统计数据 Args: total_targets: 目标总数 total_subdomains: 子域名总数 total_ips: IP 总数 total_endpoints: 端点总数 total_websites: 网站总数 total_vulns: 漏洞总数 Returns: 更新后的统计数据对象 """ stats = self.get_or_create_statistics() # 1. 保存当前值到 prev_* 字段 stats.prev_targets = stats.total_targets stats.prev_subdomains = stats.total_subdomains stats.prev_ips = stats.total_ips stats.prev_endpoints = stats.total_endpoints stats.prev_websites = stats.total_websites stats.prev_vulns = stats.total_vulns stats.prev_assets = stats.total_assets # 2. 更新当前值 stats.total_targets = total_targets stats.total_subdomains = total_subdomains stats.total_ips = total_ips stats.total_endpoints = total_endpoints stats.total_websites = total_websites stats.total_vulns = total_vulns stats.total_assets = total_subdomains + total_ips + total_endpoints + total_websites stats.save() logger.info( "更新资产统计: targets=%d, subdomains=%d, ips=%d, endpoints=%d, websites=%d, vulns=%d, assets=%d", total_targets, total_subdomains, total_ips, total_endpoints, total_websites, total_vulns, stats.total_assets ) return stats def save_daily_snapshot(self, stats: AssetStatistics) -> StatisticsHistory: """ 保存每日统计快照（幂等，每天只存一条） Args: stats: 当前统计数据 Returns: 历史记录对象 """ history, created = StatisticsHistory.objects.update_or_create( date=date.today(), defaults={ 'total_targets': stats.total_targets, 'total_subdomains': stats.total_subdomains, 'total_ips': stats.total_ips, 'total_endpoints': stats.total_endpoints, 'total_websites': stats.total_websites, 'total_vulns': stats.total_vulns, 'total_assets': stats.total_assets, } ) action = "创建" if created else "更新" logger.info(f"{action}统计快照: date={history.date}, assets={history.total_assets}") return history def get_history(self, days: int = 7) -> List[StatisticsHistory]: """ 获取历史统计数据（用于折线图） Args: days: 获取最近多少天的数据，默认 7 天 Returns: 历史记录列表，按日期升序 """ start_date = date.today() - timedelta(days=days - 1) return list( StatisticsHistory.objects .filter(date__gte=start_date) .order_by('date') ) ================================================ FILE: backend/apps/asset/serializers.py ================================================ from rest_framework import serializers from .models import Subdomain, WebSite, Directory, HostPortMapping, Endpoint, Vulnerability from .models.snapshot_models import ( SubdomainSnapshot, WebsiteSnapshot, DirectorySnapshot, EndpointSnapshot, VulnerabilitySnapshot, ) from .models.screenshot_models import Screenshot, ScreenshotSnapshot # 注意：IPAddress 和 Port 模型已被重构为 HostPortMapping # 以下是基于新架构的序列化器实现 # class PortSerializer(serializers.ModelSerializer): # """端口序列化器""" # # class Meta: # model = Port # fields = ['number', 'service_name', 'description', 'is_uncommon'] class SubdomainSerializer(serializers.ModelSerializer): """子域名序列化器""" class Meta: model = Subdomain fields = [ 'id', 'name', 'created_at', 'target' ] read_only_fields = ['id', 'created_at'] class SubdomainListSerializer(serializers.ModelSerializer): """子域名列表序列化器（用于扫描详情）""" # 注意：Subdomain 模型已简化，只保留核心字段 # cname, is_cdn, cdn_name 等字段已移至 SubdomainSnapshot # ports 和 ip_addresses 关系已被重构为 HostPortMapping class Meta: model = Subdomain fields = [ 'id', 'name', 'created_at' ] read_only_fields = ['id', 'created_at'] # class IPAddressListSerializer(serializers.ModelSerializer): # """IP 地址列表序列化器""" # # subdomain = serializers.CharField(source='subdomain.name', allow_blank=True, default='') # created_at = serializers.DateTimeField(read_only=True) # ports = PortSerializer(many=True, read_only=True) # # class Meta: # model = IPAddress # fields = [ # 'id', # 'ip', # 'subdomain', # 'reverse_pointer', # 'created_at', # 'ports', # ] # read_only_fields = fields class WebSiteSerializer(serializers.ModelSerializer): """站点序列化器（目标详情页）""" subdomain = serializers.CharField(source='subdomain.name', allow_blank=True, default='') responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头 class Meta: model = WebSite fields = [ 'id', 'url', 'host', 'location', 'title', 'webserver', 'content_type', 'status_code', 'content_length', 'response_body', 'tech', 'vhost', 'responseHeaders', # HTTP响应头 'subdomain', 'created_at', ] read_only_fields = fields class VulnerabilitySerializer(serializers.ModelSerializer): """漏洞资产序列化器（按目标查看漏洞资产）。""" class Meta: model = Vulnerability fields = [ 'id', 'target', 'url', 'vuln_type', 'severity', 'source', 'cvss_score', 'description', 'raw_output', 'created_at', ] read_only_fields = fields class VulnerabilitySnapshotSerializer(serializers.ModelSerializer): """漏洞快照序列化器（用于扫描历史漏洞列表）。""" class Meta: model = VulnerabilitySnapshot fields = [ 'id', 'url', 'vuln_type', 'severity', 'source', 'cvss_score', 'description', 'raw_output', 'created_at', ] read_only_fields = fields class EndpointListSerializer(serializers.ModelSerializer): """端点列表序列化器（用于目标端点列表页）""" # GF 匹配模式（gf-patterns 工具匹配的敏感 URL 模式） gfPatterns = serializers.ListField( child=serializers.CharField(), source='matched_gf_patterns', read_only=True, ) responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头 class Meta: model = Endpoint fields = [ 'id', 'url', 'location', 'status_code', 'title', 'content_length', 'content_type', 'webserver', 'response_body', 'tech', 'vhost', 'responseHeaders', # HTTP响应头 'gfPatterns', 'created_at', ] read_only_fields = fields class DirectorySerializer(serializers.ModelSerializer): """目录序列化器""" created_at = serializers.DateTimeField(read_only=True) class Meta: model = Directory fields = [ 'id', 'url', 'status', 'content_length', 'words', 'lines', 'content_type', 'duration', 'created_at', ] read_only_fields = fields class IPAddressAggregatedSerializer(serializers.Serializer): """ IP 地址聚合序列化器 基于 HostPortMapping 模型，按 IP 聚合显示： - ip: IP 地址 - hosts: 该 IP 关联的所有主机名列表 - ports: 该 IP 关联的所有端口列表 - created_at: 创建时间 """ ip = serializers.IPAddressField(read_only=True) hosts = serializers.ListField(child=serializers.CharField(), read_only=True) ports = serializers.ListField(child=serializers.IntegerField(), read_only=True) created_at = serializers.DateTimeField(read_only=True) # ==================== 快照序列化器 ==================== class SubdomainSnapshotSerializer(serializers.ModelSerializer): """子域名快照序列化器（用于扫描历史）""" class Meta: model = SubdomainSnapshot fields = ['id', 'name', 'created_at'] read_only_fields = fields class WebsiteSnapshotSerializer(serializers.ModelSerializer): """网站快照序列化器（用于扫描历史）""" subdomain_name = serializers.CharField(source='subdomain.name', read_only=True) responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头 class Meta: model = WebsiteSnapshot fields = [ 'id', 'url', 'location', 'title', 'webserver', 'content_type', 'status_code', 'content_length', 'response_body', 'tech', 'vhost', 'responseHeaders', # HTTP响应头 'subdomain_name', 'created_at', ] read_only_fields = fields class DirectorySnapshotSerializer(serializers.ModelSerializer): """目录快照序列化器（用于扫描历史）""" class Meta: model = DirectorySnapshot fields = [ 'id', 'url', 'status', 'content_length', 'words', 'lines', 'content_type', 'duration', 'created_at', ] read_only_fields = fields class EndpointSnapshotSerializer(serializers.ModelSerializer): """端点快照序列化器（用于扫描历史）""" # GF 匹配模式（gf-patterns 工具匹配的敏感 URL 模式） gfPatterns = serializers.ListField( child=serializers.CharField(), source='matched_gf_patterns', read_only=True, ) responseHeaders = serializers.CharField(source='response_headers', read_only=True) # 原始HTTP响应头 class Meta: model = EndpointSnapshot fields = [ 'id', 'url', 'host', 'location', 'title', 'webserver', 'content_type', 'status_code', 'content_length', 'response_body', 'tech', 'vhost', 'responseHeaders', # HTTP响应头 'gfPatterns', 'created_at', ] read_only_fields = fields # ==================== 截图序列化器 ==================== class ScreenshotListSerializer(serializers.ModelSerializer): """截图资产列表序列化器（不包含 image 字段）""" class Meta: model = Screenshot fields = ['id', 'url', 'status_code', 'created_at', 'updated_at'] read_only_fields = fields class ScreenshotSnapshotListSerializer(serializers.ModelSerializer): """截图快照列表序列化器（不包含 image 字段）""" class Meta: model = ScreenshotSnapshot fields = ['id', 'url', 'status_code', 'created_at'] read_only_fields = fields ================================================ FILE: backend/apps/asset/services/__init__.py ================================================ """Asset Services - 业务逻辑层""" # 资产模块 Services from .asset import ( SubdomainService, WebSiteService, DirectoryService, HostPortMappingService, EndpointService, VulnerabilityService, ) # 快照模块 Services from .snapshot import ( SubdomainSnapshotsService, HostPortMappingSnapshotsService, WebsiteSnapshotsService, DirectorySnapshotsService, EndpointSnapshotsService, VulnerabilitySnapshotsService, ) # 统计模块 Service from .statistics_service import AssetStatisticsService __all__ = [ # 资产模块 'SubdomainService', 'WebSiteService', 'DirectoryService', 'HostPortMappingService', 'EndpointService', 'VulnerabilityService', # 快照模块 'SubdomainSnapshotsService', 'HostPortMappingSnapshotsService', 'WebsiteSnapshotsService', 'DirectorySnapshotsService', 'EndpointSnapshotsService', 'VulnerabilitySnapshotsService', # 统计模块 'AssetStatisticsService', ] ================================================ FILE: backend/apps/asset/services/asset/__init__.py ================================================ """Asset Services - 资产模块的业务逻辑层""" from .subdomain_service import SubdomainService from .website_service import WebSiteService from .directory_service import DirectoryService from .host_port_mapping_service import HostPortMappingService from .endpoint_service import EndpointService from .vulnerability_service import VulnerabilityService __all__ = [ 'SubdomainService', 'WebSiteService', 'DirectoryService', 'HostPortMappingService', 'EndpointService', 'VulnerabilityService', ] ================================================ FILE: backend/apps/asset/services/asset/directory_service.py ================================================ """Directory Service - 目录业务逻辑层""" import logging from typing import List, Iterator, Optional from apps.asset.repositories import DjangoDirectoryRepository from apps.asset.dtos import DirectoryDTO from apps.common.validators import is_valid_url, is_url_match_target from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) class DirectoryService: """目录业务逻辑层""" # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'url': 'url', 'status': 'status', } def __init__(self, repository=None): """初始化目录服务""" self.repo = repository or DjangoDirectoryRepository() def bulk_upsert(self, directory_dtos: List[DirectoryDTO]) -> int: """ 批量创建或更新目录（upsert） 存在则更新所有字段，不存在则创建。 Args: directory_dtos: DirectoryDTO 列表 Returns: int: 处理的记录数 """ if not directory_dtos: return 0 try: return self.repo.bulk_upsert(directory_dtos) except Exception as e: logger.error(f"批量 upsert 目录失败: {e}") raise def bulk_create_urls(self, target_id: int, target_name: str, target_type: str, urls: List[str]) -> int: """ 批量创建目录（仅 URL，使用 ignore_conflicts） 验证 URL 格式和匹配，过滤无效/不匹配 URL，去重后批量创建。 已存在的记录会被跳过。 Args: target_id: 目标 ID target_name: 目标名称（用于匹配验证） target_type: 目标类型 ('domain', 'ip', 'cidr') urls: URL 列表 Returns: int: 实际创建的记录数 """ if not urls: return 0 # 过滤有效 URL 并去重 valid_urls = [] seen = set() for url in urls: if not isinstance(url, str): continue url = url.strip() if not url or url in seen: continue if not is_valid_url(url): continue # 匹配验证（前端已阻止不匹配的提交，后端作为双重保障） if not is_url_match_target(url, target_name, target_type): continue seen.add(url) valid_urls.append(url) if not valid_urls: return 0 # 获取创建前的数量 count_before = self.repo.count_by_target(target_id) # 创建 DTO 列表并批量创建 directory_dtos = [ DirectoryDTO(url=url, target_id=target_id) for url in valid_urls ] self.repo.bulk_create_ignore_conflicts(directory_dtos) # 获取创建后的数量 count_after = self.repo.count_by_target(target_id) return count_after - count_before def get_directories_by_target(self, target_id: int, filter_query: Optional[str] = None): """获取目标下的所有目录""" queryset = self.repo.get_by_target(target_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_all(self, filter_query: Optional[str] = None): """获取所有目录""" queryset = self.repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def iter_directory_urls_by_target(self, target_id: int, chunk_size: int = 1000) -> Iterator[str]: """流式获取目标下的所有目录 URL""" return self.repo.get_urls_for_export(target_id=target_id, batch_size=chunk_size) def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID Yields: 原始数据字典 """ return self.repo.iter_raw_data_for_export(target_id=target_id) __all__ = ['DirectoryService'] ================================================ FILE: backend/apps/asset/services/asset/endpoint_service.py ================================================ """ Endpoint 服务层 处理 URL/端点相关的业务逻辑 """ import logging from typing import List, Iterator, Optional from apps.asset.dtos.asset import EndpointDTO from apps.asset.repositories.asset import DjangoEndpointRepository from apps.common.validators import is_valid_url, is_url_match_target from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) class EndpointService: """ Endpoint 服务类 提供 Endpoint（URL/端点）相关的业务逻辑 """ # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'url': 'url', 'host': 'host', 'title': 'title', 'status_code': 'status_code', 'tech': 'tech', } def __init__(self): """初始化 Endpoint 服务""" self.repo = DjangoEndpointRepository() def bulk_upsert(self, endpoints: List[EndpointDTO]) -> int: """ 批量创建或更新端点（upsert） 存在则更新所有字段，不存在则创建。 Args: endpoints: 端点数据列表 Returns: int: 处理的记录数 """ if not endpoints: return 0 try: return self.repo.bulk_upsert(endpoints) except Exception as e: logger.error(f"批量 upsert 端点失败: {e}") raise def bulk_create_urls(self, target_id: int, target_name: str, target_type: str, urls: List[str]) -> int: """ 批量创建端点（仅 URL，使用 ignore_conflicts） 验证 URL 格式和匹配，过滤无效/不匹配 URL，去重后批量创建。 已存在的记录会被跳过。 Args: target_id: 目标 ID target_name: 目标名称（用于匹配验证） target_type: 目标类型 ('domain', 'ip', 'cidr') urls: URL 列表 Returns: int: 实际创建的记录数 """ if not urls: return 0 # 过滤有效 URL 并去重 valid_urls = [] seen = set() for url in urls: if not isinstance(url, str): continue url = url.strip() if not url or url in seen: continue if not is_valid_url(url): continue # 匹配验证（前端已阻止不匹配的提交，后端作为双重保障） if not is_url_match_target(url, target_name, target_type): continue seen.add(url) valid_urls.append(url) if not valid_urls: return 0 # 获取创建前的数量 count_before = self.repo.count_by_target(target_id) # 创建 DTO 列表并批量创建 endpoint_dtos = [ EndpointDTO(url=url, target_id=target_id) for url in valid_urls ] self.repo.bulk_create_ignore_conflicts(endpoint_dtos) # 获取创建后的数量 count_after = self.repo.count_by_target(target_id) return count_after - count_before def get_endpoints_by_target(self, target_id: int, filter_query: Optional[str] = None): """获取目标下的所有端点""" queryset = self.repo.get_by_target(target_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech']) return queryset def count_endpoints_by_target(self, target_id: int) -> int: """ 统计目标下的端点数量 Args: target_id: 目标 ID Returns: int: 端点数量 """ return self.repo.count_by_target(target_id) def get_all(self, filter_query: Optional[str] = None): """获取所有端点（全局查询）""" queryset = self.repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech']) return queryset def iter_endpoint_urls_by_target(self, target_id: int, chunk_size: int = 1000) -> Iterator[str]: """流式获取目标下的所有端点 URL，用于导出。""" queryset = self.repo.get_by_target(target_id) for url in queryset.values_list('url', flat=True).iterator(chunk_size=chunk_size): yield url def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID Yields: 原始数据字典 """ return self.repo.iter_raw_data_for_export(target_id=target_id) ================================================ FILE: backend/apps/asset/services/asset/host_port_mapping_service.py ================================================ """HostPortMapping Service - 业务逻辑层""" import logging from typing import List, Iterator, Optional, Dict from django.db.models import Min from apps.asset.repositories.asset import DjangoHostPortMappingRepository from apps.asset.dtos.asset import HostPortMappingDTO from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) class HostPortMappingService: """主机端口映射服务 - 负责主机端口映射数据的业务逻辑 职责： - 业务逻辑处理（过滤、聚合） - 调用 Repository 进行数据访问 """ # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'ip': 'ip', 'port': 'port', 'host': 'host', } def __init__(self): self.repo = DjangoHostPortMappingRepository() def bulk_create_ignore_conflicts(self, items: List[HostPortMappingDTO]) -> int: """ 批量创建主机端口映射（忽略冲突） Args: items: 主机端口映射 DTO 列表 Returns: int: 实际创建的记录数 Note: 使用数据库唯一约束 + ignore_conflicts 自动去重 """ try: logger.debug("Service: 准备批量创建主机端口映射 - 数量: %d", len(items)) created_count = self.repo.bulk_create_ignore_conflicts(items) logger.info("Service: 主机端口映射创建成功 - 数量: %d", created_count) return created_count except Exception as e: logger.error( "Service: 批量创建主机端口映射失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def iter_host_port_by_target(self, target_id: int, batch_size: int = 1000): return self.repo.get_for_export(target_id=target_id, batch_size=batch_size) def get_ip_aggregation_by_target( self, target_id: int, filter_query: Optional[str] = None ) -> List[Dict]: """获取目标下的 IP 聚合数据 Args: target_id: 目标 ID filter_query: 智能过滤语法字符串 Returns: 聚合后的 IP 数据列表 """ # 从 Repository 获取基础 QuerySet qs = self.repo.get_queryset_by_target(target_id) # Service 层应用过滤逻辑 if filter_query: qs = apply_filters(qs, filter_query, self.FILTER_FIELD_MAPPING) # Service 层处理聚合逻辑 return self._aggregate_by_ip(qs, filter_query, target_id=target_id) def get_all_ip_aggregation(self, filter_query: Optional[str] = None) -> List[Dict]: """获取所有 IP 聚合数据（全局查询） Args: filter_query: 智能过滤语法字符串 Returns: 聚合后的 IP 数据列表 """ # 从 Repository 获取基础 QuerySet qs = self.repo.get_all_queryset() # Service 层应用过滤逻辑 if filter_query: qs = apply_filters(qs, filter_query, self.FILTER_FIELD_MAPPING) # Service 层处理聚合逻辑 return self._aggregate_by_ip(qs, filter_query) def _aggregate_by_ip( self, qs, filter_query: Optional[str] = None, target_id: Optional[int] = None ) -> List[Dict]: """按 IP 聚合数据 Args: qs: 已过滤的 QuerySet filter_query: 过滤条件（用于子查询） target_id: 目标 ID（用于子查询限定范围） Returns: 聚合后的数据列表 """ ip_aggregated = ( qs .values('ip') .annotate(created_at=Min('created_at')) .order_by('-created_at') ) results = [] for item in ip_aggregated: ip = item['ip'] # 获取该 IP 的所有 host 和 port（也需要应用过滤条件） mappings_qs = self.repo.get_queryset_by_ip(ip, target_id=target_id) if filter_query: mappings_qs = apply_filters(mappings_qs, filter_query, self.FILTER_FIELD_MAPPING) mappings = mappings_qs.values('host', 'port').distinct() hosts = sorted({m['host'] for m in mappings}) ports = sorted({m['port'] for m in mappings}) results.append({ 'ip': ip, 'hosts': hosts, 'ports': ports, 'created_at': item['created_at'], }) return results def iter_ips_by_target(self, target_id: int, batch_size: int = 1000) -> Iterator[str]: """流式获取目标下的所有唯一 IP 地址。""" return self.repo.get_ips_for_export(target_id=target_id, batch_size=batch_size) def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID Yields: 原始数据字典 {ip, host, port, created_at} """ return self.repo.iter_raw_data_for_export(target_id=target_id) ================================================ FILE: backend/apps/asset/services/asset/subdomain_service.py ================================================ import logging from typing import List, Dict, Optional from dataclasses import dataclass from apps.asset.repositories import DjangoSubdomainRepository from apps.asset.dtos import SubdomainDTO from apps.common.validators import is_valid_domain from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) @dataclass class BulkCreateResult: """批量创建结果""" created_count: int skipped_count: int invalid_count: int mismatched_count: int total_received: int class SubdomainService: """子域名业务逻辑层""" # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'name': 'name', } def __init__(self, repository=None): """ 初始化子域名服务 Args: repository: 子域名仓储实例（用于依赖注入） """ self.repo = repository or DjangoSubdomainRepository() # ==================== 查询操作 ==================== def get_all(self, filter_query: Optional[str] = None): """ 获取所有子域名 Args: filter_query: 智能过滤语法字符串 Returns: QuerySet: 子域名查询集 """ logger.debug("获取所有子域名") queryset = self.repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_subdomains_by_target(self, target_id: int, filter_query: Optional[str] = None): """ 获取目标下的子域名 Args: target_id: 目标 ID filter_query: 智能过滤语法字符串 Returns: QuerySet: 子域名查询集 """ queryset = self.repo.get_by_target(target_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def count_subdomains_by_target(self, target_id: int) -> int: """ 统计目标下的子域名数量 Args: target_id: 目标 ID Returns: int: 子域名数量 """ logger.debug("统计目标下子域名数量 - Target ID: %d", target_id) return self.repo.count_by_target(target_id) def get_by_names_and_target_id(self, names: set, target_id: int) -> dict: """ 根据域名列表和目标ID批量查询子域名 Args: names: 域名集合 target_id: 目标 ID Returns: dict: {域名: Subdomain对象} """ logger.debug("批量查询子域名 - 数量: %d, Target ID: %d", len(names), target_id) return self.repo.get_by_names_and_target_id(names, target_id) def get_subdomain_names_by_target(self, target_id: int) -> List[str]: """ 获取目标下的所有子域名名称 Args: target_id: 目标 ID Returns: List[str]: 子域名名称列表 """ logger.debug("获取目标下所有子域名 - Target ID: %d", target_id) return list(self.repo.get_domains_for_export(target_id=target_id)) def iter_subdomain_names_by_target(self, target_id: int, chunk_size: int = 1000): """ 流式获取目标下的所有子域名名称（内存优化） Args: target_id: 目标 ID chunk_size: 批次大小 Yields: str: 子域名名称 """ 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) return self.repo.get_domains_for_export(target_id=target_id, batch_size=chunk_size) def iter_raw_data_for_csv_export(self, target_id: int): """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID Yields: 原始数据字典 {name, created_at} """ return self.repo.iter_raw_data_for_export(target_id=target_id) # ==================== 创建操作 ==================== def bulk_create_ignore_conflicts(self, items: List[SubdomainDTO]) -> None: """ 批量创建子域名，忽略冲突 Args: items: 子域名 DTO 列表 Note: 使用 ignore_conflicts 策略，重复记录会被跳过 """ logger.debug("批量创建子域名 - 数量: %d", len(items)) return self.repo.bulk_create_ignore_conflicts(items) def bulk_create_subdomains( self, target_id: int, target_name: str, subdomains: List[str] ) -> BulkCreateResult: """ 批量创建子域名（带验证） Args: target_id: 目标 ID target_name: 目标域名（用于匹配验证） subdomains: 子域名列表 Returns: BulkCreateResult: 创建结果统计 """ total_received = len(subdomains) target_name = target_name.lower().strip() def is_subdomain_match(subdomain: str) -> bool: """验证子域名是否匹配目标域名""" if subdomain == target_name: return True if subdomain.endswith('.' + target_name): return True return False # 过滤有效的子域名 valid_subdomains = [] invalid_count = 0 mismatched_count = 0 for subdomain in subdomains: if not isinstance(subdomain, str) or not subdomain.strip(): continue subdomain = subdomain.lower().strip() # 验证格式 if not is_valid_domain(subdomain): invalid_count += 1 continue # 验证匹配 if not is_subdomain_match(subdomain): mismatched_count += 1 continue valid_subdomains.append(subdomain) # 去重 unique_subdomains = list(set(valid_subdomains)) duplicate_count = len(valid_subdomains) - len(unique_subdomains) if not unique_subdomains: return BulkCreateResult( created_count=0, skipped_count=duplicate_count, invalid_count=invalid_count, mismatched_count=mismatched_count, total_received=total_received, ) # 获取创建前的数量 count_before = self.repo.count_by_target(target_id) # 创建 DTO 列表并批量创建 subdomain_dtos = [ SubdomainDTO(name=name, target_id=target_id) for name in unique_subdomains ] self.repo.bulk_create_ignore_conflicts(subdomain_dtos) # 获取创建后的数量 count_after = self.repo.count_by_target(target_id) created_count = count_after - count_before # 计算因数据库冲突跳过的数量 db_skipped = len(unique_subdomains) - created_count return BulkCreateResult( created_count=created_count, skipped_count=duplicate_count + db_skipped, invalid_count=invalid_count, mismatched_count=mismatched_count, total_received=total_received, ) __all__ = ['SubdomainService', 'BulkCreateResult'] ================================================ FILE: backend/apps/asset/services/asset/vulnerability_service.py ================================================ """Vulnerability Service - 漏洞资产业务逻辑层""" import logging from typing import List, Optional from apps.asset.models import Vulnerability from apps.asset.dtos.asset import VulnerabilityDTO from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) @auto_ensure_db_connection class VulnerabilityService: """漏洞资产服务 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。 """ # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'type': 'vuln_type', 'severity': 'severity', 'source': 'source', 'url': 'url', } def bulk_create_ignore_conflicts(self, items: List[VulnerabilityDTO]) -> None: """批量创建漏洞资产记录，忽略冲突。 注意：会自动按 (target_id, url, vuln_type, source) 去重，保留最后一条记录。 Note: - 是否去重取决于模型上的唯一/部分唯一约束； - 当前 Vulnerability 模型未定义唯一约束，因此会保留全部记录。 """ if not items: logger.debug("漏洞资产列表为空，跳过保存") return try: # 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） unique_items = deduplicate_for_bulk(items, Vulnerability) vulns = [ Vulnerability( target_id=item.target_id, url=item.url, vuln_type=item.vuln_type, severity=item.severity, source=item.source, cvss_score=item.cvss_score, description=item.description, raw_output=item.raw_output, ) for item in unique_items ] Vulnerability.objects.bulk_create(vulns, ignore_conflicts=True) logger.info("漏洞资产保存成功 - 数量: %d", len(vulns)) except Exception as e: logger.error( "批量保存漏洞资产失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True, ) raise # ==================== 查询方法 ==================== def get_all(self, filter_query: Optional[str] = None): """获取所有漏洞 QuerySet（用于全局漏洞列表）。 Args: filter_query: 智能过滤语法字符串 Returns: QuerySet[Vulnerability]: 所有漏洞，按创建时间倒序 """ queryset = Vulnerability.objects.all().order_by("-created_at") if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_vulnerabilities_by_target(self, target_id: int, filter_query: Optional[str] = None): """按目标获取漏洞 QuerySet（用于分页）。 Args: target_id: 目标 ID filter_query: 智能过滤语法字符串 Returns: QuerySet[Vulnerability]: 目标下的所有漏洞，按创建时间倒序 """ queryset = Vulnerability.objects.filter(target_id=target_id).order_by("-created_at") if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def count_by_target(self, target_id: int) -> int: """统计目标下的漏洞数量。""" return Vulnerability.objects.filter(target_id=target_id).count() ================================================ FILE: backend/apps/asset/services/asset/website_service.py ================================================ """WebSite Service - 网站业务逻辑层""" import logging from typing import List, Iterator, Optional from apps.asset.repositories import DjangoWebSiteRepository from apps.asset.dtos import WebSiteDTO from apps.common.validators import is_valid_url, is_url_match_target from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) class WebSiteService: """网站业务逻辑层""" # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'url': 'url', 'host': 'host', 'title': 'title', 'status_code': 'status_code', 'tech': 'tech', } def __init__(self, repository=None): """初始化网站服务""" self.repo = repository or DjangoWebSiteRepository() def bulk_upsert(self, website_dtos: List[WebSiteDTO]) -> int: """ 批量创建或更新网站（upsert） 存在则更新所有字段，不存在则创建。 Args: website_dtos: WebSiteDTO 列表 Returns: int: 处理的记录数 """ if not website_dtos: return 0 try: return self.repo.bulk_upsert(website_dtos) except Exception as e: logger.error(f"批量 upsert 网站失败: {e}") raise def bulk_create_urls(self, target_id: int, target_name: str, target_type: str, urls: List[str]) -> int: """ 批量创建网站（仅 URL，使用 ignore_conflicts） 验证 URL 格式和匹配，过滤无效/不匹配 URL，去重后批量创建。 已存在的记录会被跳过。 Args: target_id: 目标 ID target_name: 目标名称（用于匹配验证） target_type: 目标类型 ('domain', 'ip', 'cidr') urls: URL 列表 Returns: int: 实际创建的记录数 """ if not urls: return 0 # 过滤有效 URL 并去重 valid_urls = [] seen = set() for url in urls: if not isinstance(url, str): continue url = url.strip() if not url or url in seen: continue if not is_valid_url(url): continue # 匹配验证（前端已阻止不匹配的提交，后端作为双重保障） if not is_url_match_target(url, target_name, target_type): continue seen.add(url) valid_urls.append(url) if not valid_urls: return 0 # 获取创建前的数量 count_before = self.repo.count_by_target(target_id) # 创建 DTO 列表并批量创建 website_dtos = [ WebSiteDTO(url=url, target_id=target_id) for url in valid_urls ] self.repo.bulk_create_ignore_conflicts(website_dtos) # 获取创建后的数量 count_after = self.repo.count_by_target(target_id) return count_after - count_before def get_websites_by_target(self, target_id: int, filter_query: Optional[str] = None): """获取目标下的所有网站""" queryset = self.repo.get_by_target(target_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech']) return queryset def get_all(self, filter_query: Optional[str] = None): """获取所有网站""" queryset = self.repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=['tech']) return queryset def get_by_url(self, url: str, target_id: int) -> int: """根据 URL 和 target_id 查找网站 ID""" return self.repo.get_by_url(url=url, target_id=target_id) def iter_website_urls_by_target(self, target_id: int, chunk_size: int = 1000): """流式获取目标下的所有站点 URL""" return self.repo.get_urls_for_export(target_id=target_id, batch_size=chunk_size) def iter_raw_data_for_csv_export(self, target_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: target_id: 目标 ID Yields: 原始数据字典 """ return self.repo.iter_raw_data_for_export(target_id=target_id) __all__ = ['WebSiteService'] ================================================ FILE: backend/apps/asset/services/playwright_screenshot_service.py ================================================ """ Playwright 截图服务 使用 Playwright 异步批量捕获网站截图 """ import asyncio import logging from typing import Optional, AsyncGenerator logger = logging.getLogger(__name__) class PlaywrightScreenshotService: """Playwright 截图服务 - 异步多 Page 并发截图""" # 内置默认值（不暴露给用户） DEFAULT_VIEWPORT_WIDTH = 1920 DEFAULT_VIEWPORT_HEIGHT = 1080 DEFAULT_TIMEOUT = 30000 # 毫秒 DEFAULT_JPEG_QUALITY = 85 def __init__( self, viewport_width: int = DEFAULT_VIEWPORT_WIDTH, viewport_height: int = DEFAULT_VIEWPORT_HEIGHT, timeout: int = DEFAULT_TIMEOUT, concurrency: int = 5 ): """ 初始化 Playwright 截图服务 Args: viewport_width: 视口宽度（像素） viewport_height: 视口高度（像素） timeout: 页面加载超时时间（毫秒） concurrency: 并发截图数 """ self.viewport_width = viewport_width self.viewport_height = viewport_height self.timeout = timeout self.concurrency = concurrency async def capture_screenshot(self, url: str, page) -> tuple[Optional[bytes], Optional[int]]: """ 捕获单个 URL 的截图 Args: url: 目标 URL page: Playwright Page 对象 Returns: (screenshot_bytes, status_code) 元组 - screenshot_bytes: JPEG 格式的截图字节数据，失败返回 None - status_code: HTTP 响应状态码，失败返回 None """ status_code = None try: # 尝试加载页面，即使返回错误状态码也继续截图 try: response = await page.goto(url, timeout=self.timeout, wait_until='networkidle') if response: status_code = response.status except Exception as goto_error: # 页面加载失败（4xx/5xx 或其他错误），但页面可能已部分渲染 # 仍然尝试截图以捕获错误页面 logger.debug("页面加载异常但尝试截图: %s, 错误: %s", url, str(goto_error)[:50]) # 尝试截图（即使 goto 失败） screenshot_bytes = await page.screenshot( type='jpeg', quality=self.DEFAULT_JPEG_QUALITY, full_page=False ) return (screenshot_bytes, status_code) except asyncio.TimeoutError: logger.warning("截图超时: %s", url) return (None, None) except Exception as e: logger.warning("截图失败: %s, 错误: %s", url, str(e)[:100]) return (None, None) async def _capture_with_semaphore( self, url: str, context, semaphore: asyncio.Semaphore ) -> tuple[str, Optional[bytes], Optional[int]]: """ 使用信号量控制并发的截图任务 Args: url: 目标 URL context: Playwright BrowserContext semaphore: 并发控制信号量 Returns: (url, screenshot_bytes, status_code) 元组 """ async with semaphore: page = await context.new_page() try: screenshot_bytes, status_code = await self.capture_screenshot(url, page) return (url, screenshot_bytes, status_code) finally: await page.close() async def capture_batch( self, urls: list[str] ) -> AsyncGenerator[tuple[str, Optional[bytes], Optional[int]], None]: """ 批量捕获截图（异步生成器） 使用单个 BrowserContext + 多 Page 并发模式 通过 Semaphore 控制并发数 Args: urls: URL 列表 Yields: (url, screenshot_bytes, status_code) 元组 """ if not urls: return from playwright.async_api import async_playwright async with async_playwright() as p: # 启动浏览器（headless 模式） browser = await p.chromium.launch( headless=True, args=[ '--no-sandbox', '--disable-setuid-sandbox', '--disable-dev-shm-usage', '--disable-gpu' ] ) try: # 创建单个 context context = await browser.new_context( viewport={ 'width': self.viewport_width, 'height': self.viewport_height }, ignore_https_errors=True, 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' ) # 使用 Semaphore 控制并发 semaphore = asyncio.Semaphore(self.concurrency) # 创建所有任务 tasks = [ self._capture_with_semaphore(url, context, semaphore) for url in urls ] # 使用 as_completed 实现流式返回 for coro in asyncio.as_completed(tasks): result = await coro yield result await context.close() finally: await browser.close() async def capture_batch_collect( self, urls: list[str] ) -> list[tuple[str, Optional[bytes], Optional[int]]]: """ 批量捕获截图（收集所有结果） Args: urls: URL 列表 Returns: [(url, screenshot_bytes, status_code), ...] 列表 """ results = [] async for result in self.capture_batch(urls): results.append(result) return results ================================================ FILE: backend/apps/asset/services/screenshot_service.py ================================================ """ 截图服务 负责截图的压缩、保存和同步 """ import io import logging import os from typing import Optional from PIL import Image logger = logging.getLogger(__name__) class ScreenshotService: """截图服务 - 负责压缩、保存和同步""" def __init__(self, max_width: int = 800, target_kb: int = 100): """ 初始化截图服务 Args: max_width: 最大宽度（像素） target_kb: 目标文件大小（KB） """ self.max_width = max_width self.target_kb = target_kb def compress_screenshot(self, image_path: str) -> Optional[bytes]: """ 压缩截图为 WebP 格式 Args: image_path: PNG 截图文件路径 Returns: 压缩后的 WebP 二进制数据，失败返回 None """ if not os.path.exists(image_path): logger.warning(f"截图文件不存在: {image_path}") return None try: with Image.open(image_path) as img: return self._compress_image(img) except Exception as e: logger.error(f"压缩截图失败: {image_path}, 错误: {e}") return None def compress_from_bytes(self, image_bytes: bytes) -> Optional[bytes]: """ 从字节数据压缩截图为 WebP 格式 Args: image_bytes: JPEG/PNG 图片字节数据 Returns: 压缩后的 WebP 二进制数据，失败返回 None """ if not image_bytes: return None try: img = Image.open(io.BytesIO(image_bytes)) return self._compress_image(img) except Exception as e: logger.error(f"从字节压缩截图失败: {e}") return None def _compress_image(self, img: Image.Image) -> Optional[bytes]: """ 压缩 PIL Image 对象为 WebP 格式 Args: img: PIL Image 对象 Returns: 压缩后的 WebP 二进制数据 """ try: if img.mode in ('RGBA', 'P'): img = img.convert('RGB') width, height = img.size if width > self.max_width: ratio = self.max_width / width new_size = (self.max_width, int(height * ratio)) img = img.resize(new_size, Image.Resampling.LANCZOS) quality = 80 while quality >= 10: buffer = io.BytesIO() img.save(buffer, format='WEBP', quality=quality, method=6) if len(buffer.getvalue()) <= self.target_kb * 1024: return buffer.getvalue() quality -= 10 return buffer.getvalue() except Exception as e: logger.error(f"压缩图片失败: {e}") return None def save_screenshot_snapshot( self, scan_id: int, url: str, image_data: bytes, status_code: int | None = None ) -> bool: """ 保存截图快照到 ScreenshotSnapshot 表 Args: scan_id: 扫描 ID url: 截图对应的 URL image_data: 压缩后的图片二进制数据 status_code: HTTP 响应状态码 Returns: 是否保存成功 """ from apps.asset.models import ScreenshotSnapshot try: ScreenshotSnapshot.objects.update_or_create( scan_id=scan_id, url=url, defaults={'image': image_data, 'status_code': status_code} ) return True except Exception as e: logger.error(f"保存截图快照失败: scan_id={scan_id}, url={url}, 错误: {e}") return False def sync_screenshots_to_asset(self, scan_id: int, target_id: int) -> int: """ 将扫描的截图快照同步到资产表 Args: scan_id: 扫描 ID target_id: 目标 ID Returns: 同步的截图数量 """ from apps.asset.models import Screenshot, ScreenshotSnapshot snapshots = ScreenshotSnapshot.objects.filter(scan_id=scan_id) count = 0 for snapshot in snapshots: try: Screenshot.objects.update_or_create( target_id=target_id, url=snapshot.url, defaults={ 'image': snapshot.image, 'status_code': snapshot.status_code } ) count += 1 except Exception as e: logger.error(f"同步截图到资产表失败: url={snapshot.url}, 错误: {e}") logger.info(f"同步截图完成: scan_id={scan_id}, target_id={target_id}, 数量={count}") return count def process_and_save_screenshot(self, scan_id: int, url: str, image_path: str) -> bool: """ 处理并保存截图（压缩 + 保存快照） Args: scan_id: 扫描 ID url: 截图对应的 URL image_path: PNG 截图文件路径 Returns: 是否处理成功 """ image_data = self.compress_screenshot(image_path) if image_data is None: return False return self.save_screenshot_snapshot(scan_id, url, image_data) ================================================ FILE: backend/apps/asset/services/search_service.py ================================================ """ 资产搜索服务 提供资产搜索的核心业务逻辑： - 从物化视图查询数据 - 支持表达式语法解析 - 支持 =（模糊）、==（精确）、!=（不等于）操作符 - 支持 && (AND) 和 || (OR) 逻辑组合 - 支持 Website 和 Endpoint 两种资产类型 """ import logging import re from typing import Optional, List, Dict, Any, Tuple, Literal, Iterator from django.db import connection logger = logging.getLogger(__name__) # 支持的字段映射（前端字段名 -> 数据库字段名） FIELD_MAPPING = { 'host': 'host', 'url': 'url', 'title': 'title', 'tech': 'tech', 'status': 'status_code', 'body': 'response_body', 'header': 'response_headers', } # 数组类型字段 ARRAY_FIELDS = {'tech'} # 资产类型到视图名的映射 VIEW_MAPPING = { 'website': 'asset_search_view', 'endpoint': 'endpoint_search_view', } # 资产类型到原表名的映射（用于 JOIN 获取数组字段） # ⚠️ 重要：pg_ivm 不支持 ArrayField，所有数组字段必须从原表 JOIN 获取 TABLE_MAPPING = { 'website': 'website', 'endpoint': 'endpoint', } # 有效的资产类型 VALID_ASSET_TYPES = {'website', 'endpoint'} # Website 查询字段（v=视图，t=原表） # ⚠️ 注意：t.tech 从原表获取，因为 pg_ivm 不支持 ArrayField WEBSITE_SELECT_FIELDS = """ v.id, v.url, v.host, v.title, t.tech, -- ArrayField，从 website 表 JOIN 获取 v.status_code, v.response_headers, v.response_body, v.content_type, v.content_length, v.webserver, v.location, v.vhost, v.created_at, v.target_id """ # Endpoint 查询字段 # ⚠️ 注意：t.tech 和 t.matched_gf_patterns 从原表获取，因为 pg_ivm 不支持 ArrayField ENDPOINT_SELECT_FIELDS = """ v.id, v.url, v.host, v.title, t.tech, -- ArrayField，从 endpoint 表 JOIN 获取 v.status_code, v.response_headers, v.response_body, v.content_type, v.content_length, v.webserver, v.location, v.vhost, t.matched_gf_patterns, -- ArrayField，从 endpoint 表 JOIN 获取 v.created_at, v.target_id """ class SearchQueryParser: """ 搜索查询解析器 支持语法： - field="value" 模糊匹配（ILIKE %value%） - field=="value" 精确匹配 - field!="value" 不等于 - && AND 连接 - || OR 连接 - () 分组（暂不支持嵌套） 示例： - host="api" && tech="nginx" - tech="vue" || tech="react" - status=="200" && host!="test" """ # 匹配单个条件: field="value" 或 field=="value" 或 field!="value" CONDITION_PATTERN = re.compile(r'(\w+)\s*(==|!=|=)\s*"([^"]*)"') @classmethod def parse(cls, query: str) -> Tuple[str, List[Any]]: """ 解析查询字符串，返回 SQL WHERE 子句和参数 Args: query: 搜索查询字符串 Returns: (where_clause, params) 元组 """ if not query or not query.strip(): return "1=1", [] query = query.strip() # 检查是否包含操作符语法，如果不包含则作为 host 模糊搜索 if not cls.CONDITION_PATTERN.search(query): # 裸文本，默认作为 host 模糊搜索（v 是视图别名） return "v.host ILIKE %s", [f"%{query}%"] # 按 || 分割为 OR 组 or_groups = cls._split_by_or(query) if len(or_groups) == 1: # 没有 OR，直接解析 AND 条件 return cls._parse_and_group(or_groups[0]) # 多个 OR 组 or_clauses = [] all_params = [] for group in or_groups: clause, params = cls._parse_and_group(group) if clause and clause != "1=1": or_clauses.append(f"({clause})") all_params.extend(params) if not or_clauses: return "1=1", [] return " OR ".join(or_clauses), all_params @classmethod def _split_by_or(cls, query: str) -> List[str]: """按 || 分割查询，但忽略引号内的 ||""" parts = [] current = "" in_quotes = False i = 0 while i < len(query): char = query[i] if char == '"': in_quotes = not in_quotes current += char elif not in_quotes and i + 1 < len(query) and query[i:i+2] == '||': if current.strip(): parts.append(current.strip()) current = "" i += 1 # 跳过第二个 | else: current += char i += 1 if current.strip(): parts.append(current.strip()) return parts if parts else [query] @classmethod def _parse_and_group(cls, group: str) -> Tuple[str, List[Any]]: """解析 AND 组（用 && 连接的条件）""" # 移除外层括号 group = group.strip() if group.startswith('(') and group.endswith(')'): group = group[1:-1].strip() # 按 && 分割 parts = cls._split_by_and(group) and_clauses = [] all_params = [] for part in parts: clause, params = cls._parse_condition(part.strip()) if clause: and_clauses.append(clause) all_params.extend(params) if not and_clauses: return "1=1", [] return " AND ".join(and_clauses), all_params @classmethod def _split_by_and(cls, query: str) -> List[str]: """按 && 分割查询，但忽略引号内的 &&""" parts = [] current = "" in_quotes = False i = 0 while i < len(query): char = query[i] if char == '"': in_quotes = not in_quotes current += char elif not in_quotes and i + 1 < len(query) and query[i:i+2] == '&&': if current.strip(): parts.append(current.strip()) current = "" i += 1 # 跳过第二个 & else: current += char i += 1 if current.strip(): parts.append(current.strip()) return parts if parts else [query] @classmethod def _parse_condition(cls, condition: str) -> Tuple[Optional[str], List[Any]]: """ 解析单个条件 Returns: (sql_clause, params) 或 (None, []) 如果解析失败 """ # 移除括号 condition = condition.strip() if condition.startswith('(') and condition.endswith(')'): condition = condition[1:-1].strip() match = cls.CONDITION_PATTERN.match(condition) if not match: logger.warning(f"无法解析条件: {condition}") return None, [] field, operator, value = match.groups() field = field.lower() # 验证字段 if field not in FIELD_MAPPING: logger.warning(f"未知字段: {field}") return None, [] db_field = FIELD_MAPPING[field] is_array = field in ARRAY_FIELDS # 根据操作符生成 SQL if operator == '=': # 模糊匹配 return cls._build_like_condition(db_field, value, is_array) elif operator == '==': # 精确匹配 return cls._build_exact_condition(db_field, value, is_array) elif operator == '!=': # 不等于 return cls._build_not_equal_condition(db_field, value, is_array) return None, [] @classmethod def _build_like_condition(cls, field: str, value: str, is_array: bool) -> Tuple[str, List[Any]]: """构建模糊匹配条件""" if is_array: # 数组字段：检查数组中是否有元素包含该值（从原表 t 获取） return f"EXISTS (SELECT 1 FROM unnest(t.{field}) AS elem WHERE elem ILIKE %s)", [f"%{value}%"] elif field == 'status_code': # 状态码是整数，模糊匹配转为精确匹配 try: return f"v.{field} = %s", [int(value)] except ValueError: return f"v.{field}::text ILIKE %s", [f"%{value}%"] else: return f"v.{field} ILIKE %s", [f"%{value}%"] @classmethod def _build_exact_condition(cls, field: str, value: str, is_array: bool) -> Tuple[str, List[Any]]: """构建精确匹配条件""" if is_array: # 数组字段：检查数组中是否包含该精确值（从原表 t 获取） return f"%s = ANY(t.{field})", [value] elif field == 'status_code': # 状态码是整数 try: return f"v.{field} = %s", [int(value)] except ValueError: return f"v.{field}::text = %s", [value] else: return f"v.{field} = %s", [value] @classmethod def _build_not_equal_condition(cls, field: str, value: str, is_array: bool) -> Tuple[str, List[Any]]: """构建不等于条件""" if is_array: # 数组字段：检查数组中不包含该值（从原表 t 获取） return f"NOT (%s = ANY(t.{field}))", [value] elif field == 'status_code': try: return f"(v.{field} IS NULL OR v.{field} != %s)", [int(value)] except ValueError: return f"(v.{field} IS NULL OR v.{field}::text != %s)", [value] else: return f"(v.{field} IS NULL OR v.{field} != %s)", [value] AssetType = Literal['website', 'endpoint'] class AssetSearchService: """资产搜索服务""" def search( self, query: str, asset_type: AssetType = 'website', limit: Optional[int] = None ) -> List[Dict[str, Any]]: """ 搜索资产 Args: query: 搜索查询字符串 asset_type: 资产类型 ('website' 或 'endpoint') limit: 最大返回数量（可选） Returns: List[Dict]: 搜索结果列表 """ where_clause, params = SearchQueryParser.parse(query) # 根据资产类型选择视图、原表和字段 view_name = VIEW_MAPPING.get(asset_type, 'asset_search_view') table_name = TABLE_MAPPING.get(asset_type, 'website') select_fields = ENDPOINT_SELECT_FIELDS if asset_type == 'endpoint' else WEBSITE_SELECT_FIELDS # JOIN 原表获取数组字段（tech, matched_gf_patterns） sql = f""" SELECT {select_fields} FROM {view_name} v JOIN {table_name} t ON v.id = t.id WHERE {where_clause} ORDER BY v.created_at DESC """ # 添加 LIMIT if limit is not None and limit > 0: sql += f" LIMIT {int(limit)}" try: with connection.cursor() as cursor: cursor.execute(sql, params) columns = [col[0] for col in cursor.description] results = [] for row in cursor.fetchall(): result = dict(zip(columns, row)) results.append(result) return results except Exception as e: logger.error(f"搜索查询失败: {e}, SQL: {sql}, params: {params}") raise def count(self, query: str, asset_type: AssetType = 'website', statement_timeout_ms: int = 300000) -> int: """ 统计搜索结果数量 Args: query: 搜索查询字符串 asset_type: 资产类型 ('website' 或 'endpoint') statement_timeout_ms: SQL 语句超时时间（毫秒），默认 5 分钟 Returns: int: 结果总数 """ where_clause, params = SearchQueryParser.parse(query) # 根据资产类型选择视图和原表 view_name = VIEW_MAPPING.get(asset_type, 'asset_search_view') table_name = TABLE_MAPPING.get(asset_type, 'website') # JOIN 原表以支持数组字段查询 sql = f"SELECT COUNT(*) FROM {view_name} v JOIN {table_name} t ON v.id = t.id WHERE {where_clause}" try: with connection.cursor() as cursor: # 为导出设置更长的超时时间（仅影响当前会话） cursor.execute(f"SET LOCAL statement_timeout = {statement_timeout_ms}") cursor.execute(sql, params) return cursor.fetchone()[0] except Exception as e: logger.error(f"统计查询失败: {e}") raise def search_iter( self, query: str, asset_type: AssetType = 'website', batch_size: int = 1000, statement_timeout_ms: int = 300000 ) -> Iterator[Dict[str, Any]]: """ 流式搜索资产（使用分批查询，内存友好） Args: query: 搜索查询字符串 asset_type: 资产类型 ('website' 或 'endpoint') batch_size: 每批获取的数量 statement_timeout_ms: SQL 语句超时时间（毫秒），默认 5 分钟 Yields: Dict: 单条搜索结果 """ where_clause, params = SearchQueryParser.parse(query) # 根据资产类型选择视图、原表和字段 view_name = VIEW_MAPPING.get(asset_type, 'asset_search_view') table_name = TABLE_MAPPING.get(asset_type, 'website') select_fields = ENDPOINT_SELECT_FIELDS if asset_type == 'endpoint' else WEBSITE_SELECT_FIELDS # 使用 OFFSET/LIMIT 分批查询（Django 不支持命名游标） offset = 0 try: while True: # JOIN 原表获取数组字段 sql = f""" SELECT {select_fields} FROM {view_name} v JOIN {table_name} t ON v.id = t.id WHERE {where_clause} ORDER BY v.created_at DESC LIMIT {batch_size} OFFSET {offset} """ with connection.cursor() as cursor: # 为导出设置更长的超时时间（仅影响当前会话） cursor.execute(f"SET LOCAL statement_timeout = {statement_timeout_ms}") cursor.execute(sql, params) columns = [col[0] for col in cursor.description] rows = cursor.fetchall() if not rows: break for row in rows: yield dict(zip(columns, row)) # 如果返回的行数少于 batch_size，说明已经是最后一批 if len(rows) < batch_size: break offset += batch_size except Exception as e: logger.error(f"流式搜索查询失败: {e}, SQL: {sql}, params: {params}") raise ================================================ FILE: backend/apps/asset/services/snapshot/__init__.py ================================================ """Snapshot Services - 快照服务""" from .subdomain_snapshots_service import SubdomainSnapshotsService from .host_port_mapping_snapshots_service import HostPortMappingSnapshotsService from .website_snapshots_service import WebsiteSnapshotsService from .directory_snapshots_service import DirectorySnapshotsService from .endpoint_snapshots_service import EndpointSnapshotsService from .vulnerability_snapshots_service import VulnerabilitySnapshotsService __all__ = [ 'SubdomainSnapshotsService', 'HostPortMappingSnapshotsService', 'WebsiteSnapshotsService', 'DirectorySnapshotsService', 'EndpointSnapshotsService', 'VulnerabilitySnapshotsService', ] ================================================ FILE: backend/apps/asset/services/snapshot/directory_snapshots_service.py ================================================ """Directory Snapshots Service - 业务逻辑层""" import logging from typing import List, Iterator from apps.asset.repositories.snapshot import DjangoDirectorySnapshotRepository from apps.asset.services.asset import DirectoryService from apps.asset.dtos.snapshot import DirectorySnapshotDTO logger = logging.getLogger(__name__) class DirectorySnapshotsService: """目录快照服务 - 统一管理快照和资产同步""" def __init__(self): self.snapshot_repo = DjangoDirectorySnapshotRepository() self.asset_service = DirectoryService() def save_and_sync(self, items: List[DirectorySnapshotDTO]) -> None: """ 保存目录快照并同步到资产表（统一入口） 流程： 1. 保存到快照表（完整记录，包含 scan_id） 2. 同步到资产表（去重，不包含 scan_id） Args: items: 目录快照 DTO 列表（必须包含 target_id） Raises: Exception: 数据库操作失败 """ if not items: return # 检查 Scan 是否仍存在（防止删除后竞态写入） scan_id = items[0].scan_id from apps.scan.repositories import DjangoScanRepository if not DjangoScanRepository().exists(scan_id): logger.warning("Scan 已删除，跳过目录快照保存 - scan_id=%s, 数量=%d", scan_id, len(items)) return try: logger.debug("保存目录快照并同步到资产表 - 数量: %d", len(items)) # 步骤 1: 保存到快照表 logger.debug("步骤 1: 保存到快照表") self.snapshot_repo.save_snapshots(items) # 步骤 2: 转换为资产 DTO 并保存到资产表（upsert） # - 新记录：插入资产表 # - 已存在的记录：更新字段（created_at 不更新，保留创建时间） logger.debug("步骤 2: 同步到资产表（通过 Service 层，upsert）") asset_items = [item.to_asset_dto() for item in items] self.asset_service.bulk_upsert(asset_items) logger.info("目录快照和资产数据保存成功 - 数量: %d", len(items)) except Exception as e: logger.error( "保存目录快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'url': 'url', 'status': 'status', 'content_type': 'content_type', } def get_by_scan(self, scan_id: int, filter_query: str = None): from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_by_scan(scan_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_all(self, filter_query: str = None): """获取所有目录快照""" from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def iter_directory_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]: """流式获取某次扫描下的所有目录 URL。""" queryset = self.snapshot_repo.get_by_scan(scan_id) for snapshot in queryset.iterator(chunk_size=chunk_size): yield snapshot.url def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID Yields: 原始数据字典 """ return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id) ================================================ FILE: backend/apps/asset/services/snapshot/endpoint_snapshots_service.py ================================================ """Endpoint Snapshots Service - 业务逻辑层""" import logging from typing import List, Iterator from apps.asset.repositories.snapshot import DjangoEndpointSnapshotRepository from apps.asset.services.asset import EndpointService from apps.asset.dtos.snapshot import EndpointSnapshotDTO logger = logging.getLogger(__name__) class EndpointSnapshotsService: """端点快照服务 - 统一管理快照和资产同步""" def __init__(self): self.snapshot_repo = DjangoEndpointSnapshotRepository() self.asset_service = EndpointService() def save_and_sync(self, items: List[EndpointSnapshotDTO]) -> None: """ 保存端点快照并同步到资产表（统一入口） 流程： 1. 保存到快照表（完整记录） 2. 同步到资产表（去重） Args: items: 端点快照 DTO 列表（必须包含 target_id） Raises: ValueError: 如果 items 中的 target_id 为 None Exception: 数据库操作失败 """ if not items: return # 检查 Scan 是否仍存在（防止删除后竞态写入） scan_id = items[0].scan_id from apps.scan.repositories import DjangoScanRepository if not DjangoScanRepository().exists(scan_id): logger.warning("Scan 已删除，跳过端点快照保存 - scan_id=%s, 数量=%d", scan_id, len(items)) return try: logger.debug("保存端点快照并同步到资产表 - 数量: %d", len(items)) # 步骤 1: 保存到快照表 logger.debug("步骤 1: 保存到快照表") self.snapshot_repo.save_snapshots(items) # 步骤 2: 转换为资产 DTO 并保存到资产表 # 使用 upsert：新记录插入，已存在的记录更新 logger.debug("步骤 2: 同步到资产表（通过 Service 层）") asset_items = [item.to_asset_dto() for item in items] self.asset_service.bulk_upsert(asset_items) logger.info("端点快照和资产数据保存成功 - 数量: %d", len(items)) except Exception as e: logger.error( "保存端点快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'url': 'url', 'host': 'host', 'title': 'title', 'status_code': 'status_code', 'webserver': 'webserver', 'tech': 'tech', } def get_by_scan(self, scan_id: int, filter_query: str = None): from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_by_scan(scan_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_all(self, filter_query: str = None): """获取所有端点快照""" from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def iter_endpoint_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]: """流式获取某次扫描下的所有端点 URL。""" queryset = self.snapshot_repo.get_by_scan(scan_id) for snapshot in queryset.iterator(chunk_size=chunk_size): yield snapshot.url def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID Yields: 原始数据字典 """ return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id) ================================================ FILE: backend/apps/asset/services/snapshot/host_port_mapping_snapshots_service.py ================================================ """HostPortMapping Snapshots Service - 业务逻辑层""" import logging from typing import List, Iterator from apps.asset.repositories.snapshot import DjangoHostPortMappingSnapshotRepository from apps.asset.services.asset import HostPortMappingService from apps.asset.dtos.snapshot import HostPortMappingSnapshotDTO logger = logging.getLogger(__name__) class HostPortMappingSnapshotsService: """HostPortMapping Snapshots Service - 统一管理快照和资产同步""" def __init__(self): self.snapshot_repo = DjangoHostPortMappingSnapshotRepository() self.asset_service = HostPortMappingService() def save_and_sync(self, items: List[HostPortMappingSnapshotDTO]) -> None: """ 保存主机端口关联快照并同步到资产表（统一入口） 流程： 1. 保存到快照表（完整记录，包含 scan_id） 2. 同步到资产表（去重，不包含 scan_id） Args: items: 主机端口关联快照 DTO 列表（必须包含 target_id） Note: target_id 已经包含在 DTO 中，无需额外传参。 """ logger.debug("保存主机端口关联快照 - 数量: %d", len(items)) if not items: logger.debug("快照数据为空，跳过保存") return # 检查 Scan 是否仍存在（防止删除后竞态写入） scan_id = items[0].scan_id from apps.scan.repositories import DjangoScanRepository if not DjangoScanRepository().exists(scan_id): 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)) return try: # 步骤 1: 保存到快照表 logger.debug("步骤 1: 保存到快照表") self.snapshot_repo.save_snapshots(items) # 步骤 2: 转换为资产 DTO 并保存到资产表 # 注意：去重是通过数据库的 UNIQUE 约束 + ignore_conflicts 实现的 # - 新记录：插入资产表 # - 已存在的记录：自动跳过 logger.debug("步骤 2: 同步到资产表（通过 Service 层）") asset_items = [item.to_asset_dto() for item in items] self.asset_service.bulk_create_ignore_conflicts(asset_items) logger.info("主机端口关联快照和资产数据保存成功 - 数量: %d", len(items)) except Exception as e: logger.error( "保存主机端口关联快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise def get_ip_aggregation_by_scan(self, scan_id: int, filter_query: str = None): return self.snapshot_repo.get_ip_aggregation_by_scan(scan_id, filter_query=filter_query) def get_all_ip_aggregation(self, filter_query: str = None): """获取所有 IP 聚合数据""" return self.snapshot_repo.get_all_ip_aggregation(filter_query=filter_query) def iter_ips_by_scan(self, scan_id: int, batch_size: int = 1000) -> Iterator[str]: """流式获取某次扫描下的所有唯一 IP 地址。""" return self.snapshot_repo.get_ips_for_export(scan_id=scan_id, batch_size=batch_size) def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID Yields: 原始数据字典 {ip, host, port, created_at} """ return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id) ================================================ FILE: backend/apps/asset/services/snapshot/subdomain_snapshots_service.py ================================================ import logging from typing import List, Iterator from apps.asset.dtos import SubdomainSnapshotDTO from apps.asset.repositories import DjangoSubdomainSnapshotRepository logger = logging.getLogger(__name__) class SubdomainSnapshotsService: """子域名快照服务 - 负责子域名快照数据的业务逻辑""" def __init__(self): self.subdomain_snapshot_repo = DjangoSubdomainSnapshotRepository() def save_and_sync(self, items: List[SubdomainSnapshotDTO]) -> None: """ 保存子域名快照并同步到资产表（统一入口） 流程： 1. 保存到快照表（完整记录，包含 scan_id） 2. 同步到资产表（去重，不包含 scan_id） Args: items: 子域名快照 DTO 列表（包含 target_id） Note: target_id 已经包含在 DTO 中，无需额外传参。 """ logger.debug("保存子域名快照 - 数量: %d", len(items)) if not items: logger.debug("快照数据为空，跳过保存") return # 检查 Scan 是否仍存在（防止删除后竞态写入） scan_id = items[0].scan_id from apps.scan.repositories import DjangoScanRepository if not DjangoScanRepository().exists(scan_id): logger.warning("Scan 已删除，跳过快照保存 - scan_id=%s, 数量=%d", scan_id, len(items)) return try: # 步骤 1: 保存到快照表 logger.debug("步骤 1: 保存到快照表") self.subdomain_snapshot_repo.save_subdomain_snapshots(items) # 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） # 注意：去重是通过数据库的 UNIQUE 约束 + ignore_conflicts 实现的 # - 新子域名：插入资产表 # - 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） asset_items = [item.to_asset_dto() for item in items] from apps.asset.services import SubdomainService subdomain_service = SubdomainService() subdomain_service.bulk_create_ignore_conflicts(asset_items) logger.info("子域名快照和业务数据保存成功 - 数量: %d", len(items)) except Exception as e: logger.error( "保存子域名快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'name': 'name', } def get_by_scan(self, scan_id: int, filter_query: str = None): from apps.common.utils.filter_utils import apply_filters queryset = self.subdomain_snapshot_repo.get_by_scan(scan_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_all(self, filter_query: str = None): """获取所有子域名快照""" from apps.common.utils.filter_utils import apply_filters queryset = self.subdomain_snapshot_repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def iter_subdomain_names_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]: queryset = self.subdomain_snapshot_repo.get_by_scan(scan_id) for snapshot in queryset.iterator(chunk_size=chunk_size): yield snapshot.name def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID Yields: 原始数据字典 {name, created_at} """ return self.subdomain_snapshot_repo.iter_raw_data_for_export(scan_id=scan_id) ================================================ FILE: backend/apps/asset/services/snapshot/vulnerability_snapshots_service.py ================================================ """Vulnerability Snapshots Service - 业务逻辑层""" import logging from typing import List, Iterator from apps.asset.repositories.snapshot import DjangoVulnerabilitySnapshotRepository from apps.asset.services.asset.vulnerability_service import VulnerabilityService from apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO logger = logging.getLogger(__name__) class VulnerabilitySnapshotsService: """漏洞快照服务 - 统一管理快照和资产同步。 流程与 Website/Directory 等保持一致： 1. 保存到 VulnerabilitySnapshot 快照表（包含 scan_id） 2. 转为 VulnerabilityDTO 并同步到 Vulnerability 资产表（基于 target_id） """ def __init__(self): self.snapshot_repo = DjangoVulnerabilitySnapshotRepository() self.asset_service = VulnerabilityService() def save_and_sync(self, items: List[VulnerabilitySnapshotDTO]) -> None: """保存漏洞快照并同步到漏洞资产表。""" if not items: return # 检查 Scan 是否仍存在（防止删除后竞态写入） scan_id = items[0].scan_id from apps.scan.repositories import DjangoScanRepository if not DjangoScanRepository().exists(scan_id): logger.warning("Scan 已删除，跳过漏洞快照保存 - scan_id=%s, 数量=%d", scan_id, len(items)) return try: logger.debug("保存漏洞快照并同步到资产表 - 数量: %d", len(items)) # 步骤 1: 保存到快照表 logger.debug("步骤 1: 保存到漏洞快照表") self.snapshot_repo.save_snapshots(items) # 步骤 2: 转换为资产 DTO 并保存到资产表 logger.debug("步骤 2: 同步到漏洞资产表") asset_items = [item.to_asset_dto() for item in items] self.asset_service.bulk_create_ignore_conflicts(asset_items) logger.info("漏洞快照和资产数据保存成功 - 数量: %d", len(items)) # 步骤 3: 发布漏洞保存信号（通知等模块可监听） from apps.common.signals import vulnerabilities_saved vulnerabilities_saved.send( sender=self.__class__, items=items, scan_id=scan_id, target_id=items[0].target_id if items else None ) except Exception as e: logger.error( "保存漏洞快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True, ) raise # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'type': 'vuln_type', 'url': 'url', 'severity': 'severity', 'source': 'source', } def get_by_scan(self, scan_id: int, filter_query: str = None): """按扫描任务获取所有漏洞快照。""" from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_by_scan(scan_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_all(self, filter_query: str = None): """获取所有漏洞快照""" from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def iter_vuln_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]: """流式获取某次扫描下的所有漏洞 URL。""" queryset = self.snapshot_repo.get_by_scan(scan_id) for snapshot in queryset.iterator(chunk_size=chunk_size): yield snapshot.url ================================================ FILE: backend/apps/asset/services/snapshot/website_snapshots_service.py ================================================ """Website Snapshots Service - 业务逻辑层""" import logging from typing import List, Iterator from apps.asset.repositories.snapshot import DjangoWebsiteSnapshotRepository from apps.asset.services.asset import WebSiteService from apps.asset.dtos.snapshot import WebsiteSnapshotDTO logger = logging.getLogger(__name__) class WebsiteSnapshotsService: """网站快照服务 - 统一管理快照和资产同步""" def __init__(self): self.snapshot_repo = DjangoWebsiteSnapshotRepository() self.asset_service = WebSiteService() def save_and_sync(self, items: List[WebsiteSnapshotDTO]) -> None: """ 保存网站快照并同步到资产表（统一入口） 流程： 1. 保存到快照表（完整记录，包含 scan_id） 2. 同步到资产表（去重，不包含 scan_id） Args: items: 网站快照 DTO 列表（必须包含 target_id） Raises: ValueError: 如果 items 中的 target_id 为 None Exception: 数据库操作失败 """ if not items: return # 检查 Scan 是否仍存在（防止删除后竞态写入） scan_id = items[0].scan_id from apps.scan.repositories import DjangoScanRepository if not DjangoScanRepository().exists(scan_id): logger.warning("Scan 已删除，跳过网站快照保存 - scan_id=%s, 数量=%d", scan_id, len(items)) return try: logger.debug("保存网站快照并同步到资产表 - 数量: %d", len(items)) # 步骤 1: 保存到快照表 logger.debug("步骤 1: 保存到快照表") self.snapshot_repo.save_snapshots(items) # 步骤 2: 转换为资产 DTO 并保存到资产表（upsert） # - 新记录：插入资产表 # - 已存在的记录：更新字段（created_at 不更新，保留创建时间） logger.debug("步骤 2: 同步到资产表（通过 Service 层，upsert）") asset_items = [item.to_asset_dto() for item in items] self.asset_service.bulk_upsert(asset_items) logger.info("网站快照和资产数据保存成功 - 数量: %d", len(items)) except Exception as e: logger.error( "保存网站快照失败 - 数量: %d, 错误: %s", len(items), str(e), exc_info=True ) raise # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'url': 'url', 'host': 'host', 'title': 'title', 'status_code': 'status_code', 'webserver': 'webserver', 'tech': 'tech', } def get_by_scan(self, scan_id: int, filter_query: str = None): from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_by_scan(scan_id) if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def get_all(self, filter_query: str = None): """获取所有网站快照""" from apps.common.utils.filter_utils import apply_filters queryset = self.snapshot_repo.get_all() if filter_query: queryset = apply_filters(queryset, filter_query, self.FILTER_FIELD_MAPPING) return queryset def iter_website_urls_by_scan(self, scan_id: int, chunk_size: int = 1000) -> Iterator[str]: """流式获取某次扫描下的所有站点 URL（按创建时间倒序）。""" queryset = self.snapshot_repo.get_by_scan(scan_id) for snapshot in queryset.iterator(chunk_size=chunk_size): yield snapshot.url def iter_raw_data_for_csv_export(self, scan_id: int) -> Iterator[dict]: """ 流式获取原始数据用于 CSV 导出 Args: scan_id: 扫描 ID Yields: 原始数据字典 """ return self.snapshot_repo.iter_raw_data_for_export(scan_id=scan_id) ================================================ FILE: backend/apps/asset/services/statistics_service.py ================================================ """资产统计 Service""" import logging from typing import Optional from django.db.models import Count from apps.asset.repositories import AssetStatisticsRepository from apps.asset.models import ( AssetStatistics, StatisticsHistory, Subdomain, WebSite, Endpoint, HostPortMapping, Vulnerability, ) from apps.targets.models import Target from apps.scan.models import Scan logger = logging.getLogger(__name__) class AssetStatisticsService: """ 资产统计服务 职责： - 获取统计数据 - 刷新统计数据（供定时任务调用） """ def __init__(self): self.repo = AssetStatisticsRepository() def get_statistics(self) -> dict: """ 获取统计数据 Returns: 统计数据字典 """ stats = self.repo.get_statistics() if stats is None: # 如果没有统计数据，返回默认值 return { 'total_targets': 0, 'total_subdomains': 0, 'total_ips': 0, 'total_endpoints': 0, 'total_websites': 0, 'total_vulns': 0, 'total_assets': 0, 'running_scans': Scan.objects.filter(status='running').count(), 'updated_at': None, # 变化值 'change_targets': 0, 'change_subdomains': 0, 'change_ips': 0, 'change_endpoints': 0, 'change_websites': 0, 'change_vulns': 0, 'change_assets': 0, 'vuln_by_severity': self._get_vuln_by_severity(), } # 运行中的扫描数量实时查询（数量小，无需缓存） running_scans = Scan.objects.filter(status='running').count() return { 'total_targets': stats.total_targets, 'total_subdomains': stats.total_subdomains, 'total_ips': stats.total_ips, 'total_endpoints': stats.total_endpoints, 'total_websites': stats.total_websites, 'total_vulns': stats.total_vulns, 'total_assets': stats.total_assets, 'running_scans': running_scans, 'updated_at': stats.updated_at, # 变化值 = 当前值 - 上次值 'change_targets': stats.total_targets - stats.prev_targets, 'change_subdomains': stats.total_subdomains - stats.prev_subdomains, 'change_ips': stats.total_ips - stats.prev_ips, 'change_endpoints': stats.total_endpoints - stats.prev_endpoints, 'change_websites': stats.total_websites - stats.prev_websites, 'change_vulns': stats.total_vulns - stats.prev_vulns, 'change_assets': stats.total_assets - stats.prev_assets, # 漏洞严重程度分布 'vuln_by_severity': self._get_vuln_by_severity(), } def _get_vuln_by_severity(self) -> dict: """获取按严重程度统计的漏洞数量""" result = Vulnerability.objects.values('severity').annotate(count=Count('id')) severity_map = {item['severity']: item['count'] for item in result} return { 'critical': severity_map.get('critical', 0), 'high': severity_map.get('high', 0), 'medium': severity_map.get('medium', 0), 'low': severity_map.get('low', 0), 'info': severity_map.get('info', 0), } def refresh_statistics(self) -> AssetStatistics: """ 刷新统计数据（执行实际 COUNT 查询） 供定时任务调用，不建议在接口中直接调用。 Returns: 更新后的统计数据对象 """ logger.info("开始刷新资产统计...") # 执行 COUNT 查询 total_targets = Target.objects.filter(deleted_at__isnull=True).count() total_subdomains = Subdomain.objects.count() total_ips = HostPortMapping.objects.values('ip').distinct().count() total_endpoints = Endpoint.objects.count() total_websites = WebSite.objects.count() total_vulns = Vulnerability.objects.count() # 更新统计表 stats = self.repo.update_statistics( total_targets=total_targets, total_subdomains=total_subdomains, total_ips=total_ips, total_endpoints=total_endpoints, total_websites=total_websites, total_vulns=total_vulns, ) # 保存每日快照（用于折线图） self.repo.save_daily_snapshot(stats) logger.info("资产统计刷新完成") return stats def get_statistics_history(self, days: int = 7) -> list[dict]: """ 获取历史统计数据（用于折线图） Args: days: 获取最近多少天的数据，默认 7 天 Returns: 历史数据列表，每项包含 date 和各统计字段 """ history = self.repo.get_history(days=days) return [ { 'date': h.date.isoformat(), 'totalTargets': h.total_targets, 'totalSubdomains': h.total_subdomains, 'totalIps': h.total_ips, 'totalEndpoints': h.total_endpoints, 'totalWebsites': h.total_websites, 'totalVulns': h.total_vulns, 'totalAssets': h.total_assets, } for h in history ] ================================================ FILE: backend/apps/asset/urls.py ================================================ """ Asset 应用 URL 配置 """ from django.urls import path, include from rest_framework.routers import DefaultRouter from .views import ( SubdomainViewSet, WebSiteViewSet, DirectoryViewSet, VulnerabilityViewSet, AssetStatisticsViewSet, AssetSearchView, AssetSearchExportView, EndpointViewSet, HostPortMappingViewSet, ScreenshotViewSet, ) # 创建 DRF 路由器 router = DefaultRouter() # 注册 ViewSet router.register(r'subdomains', SubdomainViewSet, basename='subdomain') router.register(r'websites', WebSiteViewSet, basename='website') router.register(r'directories', DirectoryViewSet, basename='directory') router.register(r'endpoints', EndpointViewSet, basename='endpoint') router.register(r'ip-addresses', HostPortMappingViewSet, basename='ip-address') router.register(r'vulnerabilities', VulnerabilityViewSet, basename='vulnerability') router.register(r'screenshots', ScreenshotViewSet, basename='screenshot') router.register(r'statistics', AssetStatisticsViewSet, basename='asset-statistics') urlpatterns = [ path('assets/', include(router.urls)), path('assets/search/', AssetSearchView.as_view(), name='asset-search'), path('assets/search/export/', AssetSearchExportView.as_view(), name='asset-search-export'), ] ================================================ FILE: backend/apps/asset/views/__init__.py ================================================ """ Asset 应用视图模块 重新导出所有视图类以保持向后兼容 """ from .asset_views import ( AssetStatisticsViewSet, SubdomainViewSet, WebSiteViewSet, DirectoryViewSet, EndpointViewSet, HostPortMappingViewSet, VulnerabilityViewSet, SubdomainSnapshotViewSet, WebsiteSnapshotViewSet, DirectorySnapshotViewSet, EndpointSnapshotViewSet, HostPortMappingSnapshotViewSet, VulnerabilitySnapshotViewSet, ScreenshotViewSet, ScreenshotSnapshotViewSet, ) from .search_views import AssetSearchView, AssetSearchExportView __all__ = [ 'AssetStatisticsViewSet', 'SubdomainViewSet', 'WebSiteViewSet', 'DirectoryViewSet', 'EndpointViewSet', 'HostPortMappingViewSet', 'VulnerabilityViewSet', 'SubdomainSnapshotViewSet', 'WebsiteSnapshotViewSet', 'DirectorySnapshotViewSet', 'EndpointSnapshotViewSet', 'HostPortMappingSnapshotViewSet', 'VulnerabilitySnapshotViewSet', 'ScreenshotViewSet', 'ScreenshotSnapshotViewSet', 'AssetSearchView', 'AssetSearchExportView', ] ================================================ FILE: backend/apps/asset/views/asset_views.py ================================================ import logging from rest_framework import viewsets, status, filters from rest_framework.decorators import action from rest_framework.response import Response from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from rest_framework.request import Request from rest_framework.exceptions import NotFound, ValidationError as DRFValidationError from django.core.exceptions import ValidationError, ObjectDoesNotExist from django.db import DatabaseError, IntegrityError, OperationalError from ..serializers import ( SubdomainListSerializer, WebSiteSerializer, DirectorySerializer, VulnerabilitySerializer, EndpointListSerializer, IPAddressAggregatedSerializer, SubdomainSnapshotSerializer, WebsiteSnapshotSerializer, DirectorySnapshotSerializer, EndpointSnapshotSerializer, VulnerabilitySnapshotSerializer ) from ..services import ( SubdomainService, WebSiteService, DirectoryService, VulnerabilityService, AssetStatisticsService, EndpointService, HostPortMappingService ) from ..services.snapshot import ( SubdomainSnapshotsService, WebsiteSnapshotsService, DirectorySnapshotsService, EndpointSnapshotsService, HostPortMappingSnapshotsService, VulnerabilitySnapshotsService ) from apps.common.pagination import BasePagination logger = logging.getLogger(__name__) class AssetStatisticsViewSet(viewsets.ViewSet): """ 资产统计 API 提供仪表盘所需的统计数据（预聚合，读取缓存表） """ def __init__(self, **kwargs): super().__init__(**kwargs) self.service = AssetStatisticsService() def list(self, request): """ 获取资产统计数据 GET /assets/statistics/ 返回: - totalTargets: 目标总数 - totalSubdomains: 子域名总数 - totalIps: IP 总数 - totalEndpoints: 端点总数 - totalWebsites: 网站总数 - totalVulns: 漏洞总数 - totalAssets: 总资产数 - runningScans: 运行中的扫描数 - updatedAt: 统计更新时间 """ try: stats = self.service.get_statistics() return success_response(data={ 'totalTargets': stats['total_targets'], 'totalSubdomains': stats['total_subdomains'], 'totalIps': stats['total_ips'], 'totalEndpoints': stats['total_endpoints'], 'totalWebsites': stats['total_websites'], 'totalVulns': stats['total_vulns'], 'totalAssets': stats['total_assets'], 'runningScans': stats['running_scans'], 'updatedAt': stats['updated_at'], # 变化值 'changeTargets': stats['change_targets'], 'changeSubdomains': stats['change_subdomains'], 'changeIps': stats['change_ips'], 'changeEndpoints': stats['change_endpoints'], 'changeWebsites': stats['change_websites'], 'changeVulns': stats['change_vulns'], 'changeAssets': stats['change_assets'], # 漏洞严重程度分布 'vulnBySeverity': stats['vuln_by_severity'], }) except (DatabaseError, OperationalError) as e: logger.exception("获取资产统计数据失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to get statistics', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) @action(detail=False, methods=['get'], url_path='history') def history(self, request: Request): """ 获取统计历史数据（用于折线图） GET /assets/statistics/history/?days=7 Query Parameters: days: 获取最近多少天的数据，默认 7，最大 90 Returns: 历史数据列表 """ try: days_param = request.query_params.get('days', '7') try: days = int(days_param) except (ValueError, TypeError): days = 7 days = min(max(days, 1), 90) # 限制在 1-90 天 history = self.service.get_statistics_history(days=days) return success_response(data=history) except (DatabaseError, OperationalError) as e: logger.exception("获取统计历史数据失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to get history data', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) # 注意：IPAddress 模型已被重构为 HostPortMapping # IPAddressViewSet 已删除，需要根据新架构重新实现 class SubdomainViewSet(viewsets.ModelViewSet): """子域名管理 ViewSet 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/subdomains/ 2. 独立路由：GET /api/subdomains/（全局查询） 支持智能过滤语法（filter 参数）： - name="api" 子域名模糊匹配 - name=="api.example.com" 精确匹配 - 多条件空格分隔 AND 关系 """ serializer_class = SubdomainListSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = SubdomainService() def get_queryset(self): """根据是否有 target_pk 参数决定查询范围，支持智能过滤""" target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) if target_pk: return self.service.get_subdomains_by_target(target_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['post'], url_path='bulk-create') def bulk_create(self, request, **kwargs): """批量创建子域名 POST /api/targets/{target_pk}/subdomains/bulk-create/ 请求体: { "subdomains": ["sub1.example.com", "sub2.example.com"] } 响应: { "data": { "createdCount": 10, "skippedCount": 2, "invalidCount": 1, "mismatchedCount": 1, "totalReceived": 14 } } """ from apps.targets.models import Target target_pk = self.kwargs.get('target_pk') if not target_pk: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Must create subdomains under a target', status_code=status.HTTP_400_BAD_REQUEST ) # 获取目标 try: target = Target.objects.get(pk=target_pk) except Target.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message='Target not found', status_code=status.HTTP_404_NOT_FOUND ) # 验证目标类型必须为域名 if target.type != Target.TargetType.DOMAIN: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Only domain type targets support subdomain import', status_code=status.HTTP_400_BAD_REQUEST ) # 获取请求体中的子域名列表 subdomains = request.data.get('subdomains', []) if not subdomains or not isinstance(subdomains, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Request body cannot be empty or invalid format', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 service 层处理 try: result = self.service.bulk_create_subdomains( target_id=int(target_pk), target_name=target.name, subdomains=subdomains ) except Exception as e: logger.exception("批量创建子域名失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Server internal error', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response(data={ 'createdCount': result.created_count, 'skippedCount': result.skipped_count, 'invalidCount': result.invalid_count, 'mismatchedCount': result.mismatched_count, 'totalReceived': result.total_received, }) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出子域名为 CSV 格式 CSV 列：name, created_at """ from apps.common.utils import create_csv_export_response, format_datetime target_pk = self.kwargs.get('target_pk') if not target_pk: raise DRFValidationError('必须在目标下导出') data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk) headers = ['name', 'created_at'] formatters = {'created_at': format_datetime} return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"target-{target_pk}-subdomains.csv", field_formatters=formatters ) @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request, **kwargs): """批量删除子域名 POST /api/assets/subdomains/bulk-delete/ 请求体: {"ids": [1, 2, 3]} 响应: {"deletedCount": 3} """ ids = request.data.get('ids', []) if not ids or not isinstance(ids, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ids is required and must be a list', status_code=status.HTTP_400_BAD_REQUEST ) try: from ..models import Subdomain deleted_count, _ = Subdomain.objects.filter(id__in=ids).delete() return success_response(data={'deletedCount': deleted_count}) except Exception as e: logger.exception("批量删除子域名失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete subdomains', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) class WebSiteViewSet(viewsets.ModelViewSet): """站点管理 ViewSet 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/websites/ 2. 独立路由：GET /api/websites/（全局查询） 支持智能过滤语法（filter 参数）： - url="api" URL 模糊匹配 - host="example" 主机名模糊匹配 - title="login" 标题模糊匹配 - status="200,301" 状态码多值匹配 - tech="nginx" 技术栈匹配（数组字段） - 多条件空格分隔 AND 关系 """ serializer_class = WebSiteSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = WebSiteService() def get_queryset(self): """根据是否有 target_pk 参数决定查询范围，支持智能过滤""" target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) if target_pk: return self.service.get_websites_by_target(target_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['post'], url_path='bulk-create') def bulk_create(self, request, **kwargs): """批量创建网站 POST /api/targets/{target_pk}/websites/bulk-create/ 请求体: { "urls": ["https://example.com", "https://test.com"] } 响应: { "data": { "createdCount": 10 } } """ from apps.targets.models import Target target_pk = self.kwargs.get('target_pk') if not target_pk: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Must create websites under a target', status_code=status.HTTP_400_BAD_REQUEST ) # 获取目标 try: target = Target.objects.get(pk=target_pk) except Target.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message='Target not found', status_code=status.HTTP_404_NOT_FOUND ) # 获取请求体中的 URL 列表 urls = request.data.get('urls', []) if not urls or not isinstance(urls, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Request body cannot be empty or invalid format', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 service 层处理 try: created_count = self.service.bulk_create_urls( target_id=int(target_pk), target_name=target.name, target_type=target.type, urls=urls ) except Exception as e: logger.exception("批量创建网站失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Server internal error', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response(data={ 'createdCount': created_count, }) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出网站为 CSV 格式 CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, created_at """ from apps.common.utils import create_csv_export_response, format_datetime, format_list_field target_pk = self.kwargs.get('target_pk') if not target_pk: raise DRFValidationError('必须在目标下导出') data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk) headers = [ 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'created_at' ] formatters = { 'created_at': format_datetime, 'tech': lambda x: format_list_field(x, separator=','), } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"target-{target_pk}-websites.csv", field_formatters=formatters ) @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request, **kwargs): """批量删除网站 POST /api/assets/websites/bulk-delete/ 请求体: {"ids": [1, 2, 3]} 响应: {"deletedCount": 3} """ ids = request.data.get('ids', []) if not ids or not isinstance(ids, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ids is required and must be a list', status_code=status.HTTP_400_BAD_REQUEST ) try: from ..models import WebSite deleted_count, _ = WebSite.objects.filter(id__in=ids).delete() return success_response(data={'deletedCount': deleted_count}) except Exception as e: logger.exception("批量删除网站失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete websites', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) class DirectoryViewSet(viewsets.ModelViewSet): """目录管理 ViewSet 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/directories/ 2. 独立路由：GET /api/directories/（全局查询） 支持智能过滤语法（filter 参数）： - url="admin" URL 模糊匹配 - status="200,301" 状态码多值匹配 - 多条件空格分隔 AND 关系 """ serializer_class = DirectorySerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = DirectoryService() def get_queryset(self): """根据是否有 target_pk 参数决定查询范围，支持智能过滤""" target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) if target_pk: return self.service.get_directories_by_target(target_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['post'], url_path='bulk-create') def bulk_create(self, request, **kwargs): """批量创建目录 POST /api/targets/{target_pk}/directories/bulk-create/ 请求体: { "urls": ["https://example.com/admin", "https://example.com/api"] } 响应: { "data": { "createdCount": 10 } } """ from apps.targets.models import Target target_pk = self.kwargs.get('target_pk') if not target_pk: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Must create directories under a target', status_code=status.HTTP_400_BAD_REQUEST ) # 获取目标 try: target = Target.objects.get(pk=target_pk) except Target.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message='Target not found', status_code=status.HTTP_404_NOT_FOUND ) # 获取请求体中的 URL 列表 urls = request.data.get('urls', []) if not urls or not isinstance(urls, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Request body cannot be empty or invalid format', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 service 层处理 try: created_count = self.service.bulk_create_urls( target_id=int(target_pk), target_name=target.name, target_type=target.type, urls=urls ) except Exception as e: logger.exception("批量创建目录失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Server internal error', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response(data={ 'createdCount': created_count, }) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出目录为 CSV 格式 CSV 列：url, status, content_length, words, lines, content_type, duration, created_at """ from apps.common.utils import create_csv_export_response, format_datetime target_pk = self.kwargs.get('target_pk') if not target_pk: raise DRFValidationError('必须在目标下导出') data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk) headers = [ 'url', 'status', 'content_length', 'words', 'lines', 'content_type', 'duration', 'created_at' ] formatters = { 'created_at': format_datetime, } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"target-{target_pk}-directories.csv", field_formatters=formatters ) @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request, **kwargs): """批量删除目录 POST /api/assets/directories/bulk-delete/ 请求体: {"ids": [1, 2, 3]} 响应: {"deletedCount": 3} """ ids = request.data.get('ids', []) if not ids or not isinstance(ids, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ids is required and must be a list', status_code=status.HTTP_400_BAD_REQUEST ) try: from ..models import Directory deleted_count, _ = Directory.objects.filter(id__in=ids).delete() return success_response(data={'deletedCount': deleted_count}) except Exception as e: logger.exception("批量删除目录失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete directories', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) class EndpointViewSet(viewsets.ModelViewSet): """端点管理 ViewSet 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/endpoints/ 2. 独立路由：GET /api/endpoints/（全局查询） 支持智能过滤语法（filter 参数）： - url="api" URL 模糊匹配 - host="example" 主机名模糊匹配 - title="login" 标题模糊匹配 - status="200,301" 状态码多值匹配 - tech="nginx" 技术栈匹配（数组字段） - 多条件空格分隔 AND 关系 """ serializer_class = EndpointListSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = EndpointService() def get_queryset(self): """根据是否有 target_pk 参数决定查询范围，支持智能过滤""" target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) if target_pk: return self.service.get_endpoints_by_target(target_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['post'], url_path='bulk-create') def bulk_create(self, request, **kwargs): """批量创建端点 POST /api/targets/{target_pk}/endpoints/bulk-create/ 请求体: { "urls": ["https://example.com/api/v1", "https://example.com/api/v2"] } 响应: { "data": { "createdCount": 10 } } """ from apps.targets.models import Target target_pk = self.kwargs.get('target_pk') if not target_pk: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Must create endpoints under a target', status_code=status.HTTP_400_BAD_REQUEST ) # 获取目标 try: target = Target.objects.get(pk=target_pk) except Target.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message='Target not found', status_code=status.HTTP_404_NOT_FOUND ) # 获取请求体中的 URL 列表 urls = request.data.get('urls', []) if not urls or not isinstance(urls, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Request body cannot be empty or invalid format', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 service 层处理 try: created_count = self.service.bulk_create_urls( target_id=int(target_pk), target_name=target.name, target_type=target.type, urls=urls ) except Exception as e: logger.exception("批量创建端点失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Server internal error', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response(data={ 'createdCount': created_count, }) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出端点为 CSV 格式 CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, matched_gf_patterns, created_at """ from apps.common.utils import create_csv_export_response, format_datetime, format_list_field target_pk = self.kwargs.get('target_pk') if not target_pk: raise DRFValidationError('必须在目标下导出') data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk) headers = [ 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at' ] formatters = { 'created_at': format_datetime, 'tech': lambda x: format_list_field(x, separator=','), 'matched_gf_patterns': lambda x: format_list_field(x, separator=','), } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"target-{target_pk}-endpoints.csv", field_formatters=formatters ) @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request, **kwargs): """批量删除端点 POST /api/assets/endpoints/bulk-delete/ 请求体: {"ids": [1, 2, 3]} 响应: {"deletedCount": 3} """ ids = request.data.get('ids', []) if not ids or not isinstance(ids, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ids is required and must be a list', status_code=status.HTTP_400_BAD_REQUEST ) try: from ..models import Endpoint deleted_count, _ = Endpoint.objects.filter(id__in=ids).delete() return success_response(data={'deletedCount': deleted_count}) except Exception as e: logger.exception("批量删除端点失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete endpoints', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) class HostPortMappingViewSet(viewsets.ModelViewSet): """主机端口映射管理 ViewSet（IP 地址聚合视图） 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/ip-addresses/ 2. 独立路由：GET /api/ip-addresses/（全局查询） 返回按 IP 聚合的数据，每个 IP 显示其关联的所有 hosts 和 ports 支持智能过滤语法（filter 参数）： - ip="192.168" IP 模糊匹配 - port="80,443" 端口多值匹配 - host="api" 主机名模糊匹配 - 多条件空格分隔 AND 关系 注意：由于返回的是聚合数据（字典列表），不支持 DRF SearchFilter """ serializer_class = IPAddressAggregatedSerializer pagination_class = BasePagination # 智能过滤字段映射 FILTER_FIELD_MAPPING = { 'ip': 'ip', 'port': 'port', 'host': 'host', } def __init__(self, **kwargs): super().__init__(**kwargs) self.service = HostPortMappingService() def get_queryset(self): """根据是否有 target_pk 参数决定查询范围，返回按 IP 聚合的数据 支持智能过滤语法（filter 参数） """ target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) if target_pk: return self.service.get_ip_aggregation_by_target(target_pk, filter_query=filter_query) return self.service.get_all_ip_aggregation(filter_query=filter_query) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出 IP 地址为 CSV 格式 CSV 列：ip, host, port, created_at """ from apps.common.utils import create_csv_export_response, format_datetime target_pk = self.kwargs.get('target_pk') if not target_pk: raise DRFValidationError('必须在目标下导出') # 获取流式数据迭代器 data_iterator = self.service.iter_raw_data_for_csv_export(target_id=target_pk) # CSV 表头和格式化器 headers = ['ip', 'host', 'port', 'created_at'] formatters = { 'created_at': format_datetime } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"target-{target_pk}-ip-addresses.csv", field_formatters=formatters ) @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request, **kwargs): """批量删除 IP 地址映射 POST /api/assets/ip-addresses/bulk-delete/ 请求体: {"ips": ["192.168.1.1", "10.0.0.1"]} 响应: {"deletedCount": 3} 注意：由于 IP 地址是聚合显示的，删除时传入 IP 列表， 会删除该 IP 下的所有 host:port 映射记录 """ ips = request.data.get('ips', []) if not ips or not isinstance(ips, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ips is required and must be a list', status_code=status.HTTP_400_BAD_REQUEST ) try: from ..models import HostPortMapping deleted_count, _ = HostPortMapping.objects.filter(ip__in=ips).delete() return success_response(data={'deletedCount': deleted_count}) except Exception as e: logger.exception("批量删除 IP 地址映射失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete ip addresses', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) class VulnerabilityViewSet(viewsets.ModelViewSet): """漏洞资产管理 ViewSet（只读） 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/vulnerabilities/ 2. 独立路由：GET /api/vulnerabilities/（全局查询） 支持智能过滤语法（filter 参数）： - type="xss" 漏洞类型模糊匹配 - severity="high" 严重程度匹配 - source="nuclei" 来源工具匹配 - url="api" URL 模糊匹配 - 多条件空格分隔 AND 关系 """ serializer_class = VulnerabilitySerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = VulnerabilityService() def get_queryset(self): """根据是否有 target_pk 参数决定查询范围，支持智能过滤""" target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) if target_pk: return self.service.get_vulnerabilities_by_target(target_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) # ==================== 快照 ViewSet（Scan 嵌套路由） ==================== class SubdomainSnapshotViewSet(viewsets.ModelViewSet): """子域名快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/subdomains/ 支持智能过滤语法（filter 参数）： - name="api" 子域名模糊匹配 - name=="api.example.com" 精确匹配 - name!="test" 排除匹配 """ serializer_class = SubdomainSnapshotSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering_fields = ['name', 'created_at'] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = SubdomainSnapshotsService() def get_queryset(self): scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) if scan_pk: return self.service.get_by_scan(scan_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出子域名快照为 CSV 格式 CSV 列：name, created_at """ from apps.common.utils import create_csv_export_response, format_datetime scan_pk = self.kwargs.get('scan_pk') if not scan_pk: raise DRFValidationError('必须在扫描下导出') data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk) headers = ['name', 'created_at'] formatters = {'created_at': format_datetime} return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"scan-{scan_pk}-subdomains.csv", field_formatters=formatters ) class WebsiteSnapshotViewSet(viewsets.ModelViewSet): """网站快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/websites/ 支持智能过滤语法（filter 参数）： - url="api" URL 模糊匹配 - host="example" 主机名模糊匹配 - title="login" 标题模糊匹配 - status="200" 状态码匹配 - webserver="nginx" 服务器类型匹配 - tech="php" 技术栈匹配 """ serializer_class = WebsiteSnapshotSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = WebsiteSnapshotsService() def get_queryset(self): scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) if scan_pk: return self.service.get_by_scan(scan_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出网站快照为 CSV 格式 CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, created_at """ from apps.common.utils import create_csv_export_response, format_datetime, format_list_field scan_pk = self.kwargs.get('scan_pk') if not scan_pk: raise DRFValidationError('必须在扫描下导出') data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk) headers = [ 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'created_at' ] formatters = { 'created_at': format_datetime, 'tech': lambda x: format_list_field(x, separator=','), } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"scan-{scan_pk}-websites.csv", field_formatters=formatters ) class DirectorySnapshotViewSet(viewsets.ModelViewSet): """目录快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/directories/ 支持智能过滤语法（filter 参数）： - url="admin" URL 模糊匹配 - status="200" 状态码匹配 - content_type="html" 内容类型匹配 """ serializer_class = DirectorySnapshotSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = DirectorySnapshotsService() def get_queryset(self): scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) if scan_pk: return self.service.get_by_scan(scan_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出目录快照为 CSV 格式 CSV 列：url, status, content_length, words, lines, content_type, duration, created_at """ from apps.common.utils import create_csv_export_response, format_datetime scan_pk = self.kwargs.get('scan_pk') if not scan_pk: raise DRFValidationError('必须在扫描下导出') data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk) headers = [ 'url', 'status', 'content_length', 'words', 'lines', 'content_type', 'duration', 'created_at' ] formatters = { 'created_at': format_datetime, } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"scan-{scan_pk}-directories.csv", field_formatters=formatters ) class EndpointSnapshotViewSet(viewsets.ModelViewSet): """端点快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/endpoints/ 支持智能过滤语法（filter 参数）： - url="api" URL 模糊匹配 - host="example" 主机名模糊匹配 - title="login" 标题模糊匹配 - status="200" 状态码匹配 - webserver="nginx" 服务器类型匹配 - tech="php" 技术栈匹配 """ serializer_class = EndpointSnapshotSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = EndpointSnapshotsService() def get_queryset(self): scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) if scan_pk: return self.service.get_by_scan(scan_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出端点快照为 CSV 格式 CSV 列：url, host, location, title, status_code, content_length, content_type, webserver, tech, response_body, response_headers, vhost, matched_gf_patterns, created_at """ from apps.common.utils import create_csv_export_response, format_datetime, format_list_field scan_pk = self.kwargs.get('scan_pk') if not scan_pk: raise DRFValidationError('必须在扫描下导出') data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk) headers = [ 'url', 'host', 'location', 'title', 'status_code', 'content_length', 'content_type', 'webserver', 'tech', 'response_body', 'response_headers', 'vhost', 'matched_gf_patterns', 'created_at' ] formatters = { 'created_at': format_datetime, 'tech': lambda x: format_list_field(x, separator=','), 'matched_gf_patterns': lambda x: format_list_field(x, separator=','), } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"scan-{scan_pk}-endpoints.csv", field_formatters=formatters ) class HostPortMappingSnapshotViewSet(viewsets.ModelViewSet): """主机端口映射快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/ip-addresses/ 支持智能过滤语法（filter 参数）： - ip="192.168" IP 模糊匹配 - port="80" 端口匹配 - host="api" 主机名模糊匹配 注意：由于返回的是聚合数据（字典列表），过滤在 Service 层处理 """ serializer_class = IPAddressAggregatedSerializer pagination_class = BasePagination def __init__(self, **kwargs): super().__init__(**kwargs) self.service = HostPortMappingSnapshotsService() def get_queryset(self): scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) if scan_pk: return self.service.get_ip_aggregation_by_scan(scan_pk, filter_query=filter_query) return self.service.get_all_ip_aggregation(filter_query=filter_query) @action(detail=False, methods=['get'], url_path='export') def export(self, request, **kwargs): """导出 IP 地址为 CSV 格式 CSV 列：ip, host, port, created_at """ from apps.common.utils import create_csv_export_response, format_datetime scan_pk = self.kwargs.get('scan_pk') if not scan_pk: raise DRFValidationError('必须在扫描下导出') # 获取流式数据迭代器 data_iterator = self.service.iter_raw_data_for_csv_export(scan_id=scan_pk) # CSV 表头和格式化器 headers = ['ip', 'host', 'port', 'created_at'] formatters = { 'created_at': format_datetime } return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=f"scan-{scan_pk}-ip-addresses.csv", field_formatters=formatters ) class VulnerabilitySnapshotViewSet(viewsets.ModelViewSet): """漏洞快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/vulnerabilities/ 支持智能过滤语法（filter 参数）： - type="xss" 漏洞类型模糊匹配 - url="api" URL 模糊匹配 - severity="high" 严重程度匹配 - source="nuclei" 来源工具匹配 """ serializer_class = VulnerabilitySnapshotSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.service = VulnerabilitySnapshotsService() def get_queryset(self): scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) if scan_pk: return self.service.get_by_scan(scan_pk, filter_query=filter_query) return self.service.get_all(filter_query=filter_query) # ==================== 截图 ViewSet ==================== class ScreenshotViewSet(viewsets.ModelViewSet): """截图资产 ViewSet 支持两种访问方式： 1. 嵌套路由：GET /api/targets/{target_pk}/screenshots/ 2. 独立路由：GET /api/screenshots/（全局查询） 支持智能过滤语法（filter 参数）： - url="example" URL 模糊匹配 """ from ..serializers import ScreenshotListSerializer serializer_class = ScreenshotListSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def get_queryset(self): """根据是否有 target_pk 参数决定查询范围""" from ..models import Screenshot target_pk = self.kwargs.get('target_pk') filter_query = self.request.query_params.get('filter', None) queryset = Screenshot.objects.all() if target_pk: queryset = queryset.filter(target_id=target_pk) if filter_query: # 简单的 URL 模糊匹配 queryset = queryset.filter(url__icontains=filter_query) return queryset.order_by('-created_at') @action(detail=True, methods=['get'], url_path='image') def image(self, request, pk=None, **kwargs): """获取截图图片 GET /api/assets/screenshots/{id}/image/ 返回 WebP 格式的图片二进制数据 """ from django.http import HttpResponse from ..models import Screenshot try: screenshot = Screenshot.objects.get(pk=pk) if not screenshot.image: return error_response( code=ErrorCodes.NOT_FOUND, message='Screenshot image not found', status_code=status.HTTP_404_NOT_FOUND ) response = HttpResponse(screenshot.image, content_type='image/webp') response['Content-Disposition'] = f'inline; filename="screenshot_{pk}.webp"' return response except Screenshot.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message='Screenshot not found', status_code=status.HTTP_404_NOT_FOUND ) @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request, **kwargs): """批量删除截图 POST /api/assets/screenshots/bulk-delete/ 请求体: {"ids": [1, 2, 3]} 响应: {"deletedCount": 3} """ ids = request.data.get('ids', []) if not ids or not isinstance(ids, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ids is required and must be a list', status_code=status.HTTP_400_BAD_REQUEST ) try: from ..models import Screenshot deleted_count, _ = Screenshot.objects.filter(id__in=ids).delete() return success_response(data={'deletedCount': deleted_count}) except Exception as e: logger.exception("批量删除截图失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete screenshots', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) class ScreenshotSnapshotViewSet(viewsets.ModelViewSet): """截图快照 ViewSet - 嵌套路由：GET /api/scans/{scan_pk}/screenshots/ 支持智能过滤语法（filter 参数）： - url="example" URL 模糊匹配 """ from ..serializers import ScreenshotSnapshotListSerializer serializer_class = ScreenshotSnapshotListSerializer pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] def get_queryset(self): """根据 scan_pk 参数查询""" from ..models import ScreenshotSnapshot scan_pk = self.kwargs.get('scan_pk') filter_query = self.request.query_params.get('filter', None) queryset = ScreenshotSnapshot.objects.all() if scan_pk: queryset = queryset.filter(scan_id=scan_pk) if filter_query: # 简单的 URL 模糊匹配 queryset = queryset.filter(url__icontains=filter_query) return queryset.order_by('-created_at') @action(detail=True, methods=['get'], url_path='image') def image(self, request, pk=None, **kwargs): """获取截图快照图片 GET /api/scans/{scan_pk}/screenshots/{id}/image/ 返回 WebP 格式的图片二进制数据 """ from django.http import HttpResponse from ..models import ScreenshotSnapshot try: screenshot = ScreenshotSnapshot.objects.get(pk=pk) if not screenshot.image: return error_response( code=ErrorCodes.NOT_FOUND, message='Screenshot image not found', status_code=status.HTTP_404_NOT_FOUND ) response = HttpResponse(screenshot.image, content_type='image/webp') response['Content-Disposition'] = f'inline; filename="screenshot_snapshot_{pk}.webp"' return response except ScreenshotSnapshot.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message='Screenshot snapshot not found', status_code=status.HTTP_404_NOT_FOUND ) ================================================ FILE: backend/apps/asset/views/search_views.py ================================================ """ 资产搜索 API 视图 提供资产搜索的 REST API 接口： - GET /api/assets/search/ - 搜索资产 - GET /api/assets/search/export/ - 导出搜索结果为 CSV 搜索语法： - field="value" 模糊匹配（ILIKE %value%） - field=="value" 精确匹配 - field!="value" 不等于 - && AND 连接 - || OR 连接 支持的字段： - host: 主机名 - url: URL - title: 标题 - tech: 技术栈 - status: 状态码 - body: 响应体 - header: 响应头 支持的资产类型： - website: 站点（默认） - endpoint: 端点 """ import logging import json from datetime import datetime from urllib.parse import urlparse, urlunparse from rest_framework import status from rest_framework.views import APIView from rest_framework.request import Request from django.db import connection from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from apps.asset.services.search_service import AssetSearchService, VALID_ASSET_TYPES logger = logging.getLogger(__name__) class AssetSearchView(APIView): """ 资产搜索 API GET /api/assets/search/ Query Parameters: q: 搜索查询表达式 asset_type: 资产类型 ('website' 或 'endpoint'，默认 'website') page: 页码（从 1 开始，默认 1） pageSize: 每页数量（默认 10，最大 100） 示例查询： ?q=host="api" && tech="nginx" ?q=tech="vue" || tech="react"&asset_type=endpoint ?q=status=="200" && host!="test" Response: { "results": [...], "total": 100, "page": 1, "pageSize": 10, "totalPages": 10, "assetType": "website" } """ def __init__(self, **kwargs): super().__init__(**kwargs) self.service = AssetSearchService() def _parse_headers(self, headers_data) -> dict: """解析响应头为字典""" if not headers_data: return {} try: return json.loads(headers_data) except (json.JSONDecodeError, TypeError): result = {} for line in str(headers_data).split('\n'): if ':' in line: key, value = line.split(':', 1) result[key.strip()] = value.strip() return result def _format_result(self, result: dict, vulnerabilities_by_url: dict, asset_type: str) -> dict: """格式化单个搜索结果""" url = result.get('url', '') vulns = vulnerabilities_by_url.get(url, []) # 基础字段（Website 和 Endpoint 共有） formatted = { 'id': result.get('id'), 'url': url, 'host': result.get('host', ''), 'title': result.get('title', ''), 'technologies': result.get('tech', []) or [], 'statusCode': result.get('status_code'), 'contentLength': result.get('content_length'), 'contentType': result.get('content_type', ''), 'webserver': result.get('webserver', ''), 'location': result.get('location', ''), 'vhost': result.get('vhost'), 'responseHeaders': self._parse_headers(result.get('response_headers')), 'responseBody': result.get('response_body', ''), 'createdAt': result.get('created_at').isoformat() if result.get('created_at') else None, 'targetId': result.get('target_id'), } # Website 特有字段：漏洞关联 if asset_type == 'website': formatted['vulnerabilities'] = [ { 'id': v.get('id'), 'name': v.get('vuln_type', ''), 'vulnType': v.get('vuln_type', ''), 'severity': v.get('severity', 'info'), } for v in vulns ] # Endpoint 特有字段 if asset_type == 'endpoint': formatted['matchedGfPatterns'] = result.get('matched_gf_patterns', []) or [] return formatted def _get_vulnerabilities_by_url_prefix(self, website_urls: list) -> dict: """ 根据 URL 前缀批量查询漏洞数据 漏洞 URL 是 website URL 的子路径，使用前缀匹配： - website.url: https://example.com/path?query=1 - vulnerability.url: https://example.com/path/api/users Args: website_urls: website URL 列表，格式为 [(url, target_id), ...] Returns: dict: {website_url: [vulnerability_list]} """ if not website_urls: return {} try: with connection.cursor() as cursor: # 构建 OR 条件：每个 website URL（去掉查询参数）作为前缀匹配 conditions = [] params = [] url_mapping = {} # base_url -> original_url for url, target_id in website_urls: if not url or target_id is None: continue # 使用 urlparse 去掉查询参数和片段，只保留 scheme://netloc/path parsed = urlparse(url) base_url = urlunparse((parsed.scheme, parsed.netloc, parsed.path, '', '', '')) url_mapping[base_url] = url conditions.append("(v.url LIKE %s AND v.target_id = %s)") params.extend([base_url + '%', target_id]) if not conditions: return {} where_clause = " OR ".join(conditions) sql = f""" SELECT v.id, v.vuln_type, v.severity, v.url, v.target_id FROM vulnerability v WHERE {where_clause} ORDER BY CASE v.severity WHEN 'critical' THEN 1 WHEN 'high' THEN 2 WHEN 'medium' THEN 3 WHEN 'low' THEN 4 ELSE 5 END """ cursor.execute(sql, params) # 获取所有漏洞 all_vulns = [] for row in cursor.fetchall(): all_vulns.append({ 'id': row[0], 'vuln_type': row[1], 'name': row[1], 'severity': row[2], 'url': row[3], 'target_id': row[4], }) # 按原始 website URL 分组（用于返回结果） result = {url: [] for url, _ in website_urls} for vuln in all_vulns: vuln_url = vuln['url'] # 找到匹配的 website URL（最长前缀匹配） for website_url, target_id in website_urls: parsed = urlparse(website_url) base_url = urlunparse((parsed.scheme, parsed.netloc, parsed.path, '', '', '')) if vuln_url.startswith(base_url) and vuln['target_id'] == target_id: result[website_url].append(vuln) break return result except Exception as e: logger.error(f"批量查询漏洞失败: {e}") return {} def get(self, request: Request): """搜索资产""" # 获取搜索查询 query = request.query_params.get('q', '').strip() if not query: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Search query (q) is required', status_code=status.HTTP_400_BAD_REQUEST ) # 获取并验证资产类型 asset_type = request.query_params.get('asset_type', 'website').strip().lower() if asset_type not in VALID_ASSET_TYPES: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=f'Invalid asset_type. Must be one of: {", ".join(VALID_ASSET_TYPES)}', status_code=status.HTTP_400_BAD_REQUEST ) # 获取分页参数 try: page = int(request.query_params.get('page', 1)) page_size = int(request.query_params.get('pageSize', 10)) except (ValueError, TypeError): page = 1 page_size = 10 # 限制分页参数 page = max(1, page) page_size = min(max(1, page_size), 100) # 获取总数和搜索结果 total = self.service.count(query, asset_type) total_pages = (total + page_size - 1) // page_size if total > 0 else 1 offset = (page - 1) * page_size all_results = self.service.search(query, asset_type) results = all_results[offset:offset + page_size] # 批量查询漏洞数据（仅 Website 类型需要） vulnerabilities_by_url = {} if asset_type == 'website': website_urls = [(r.get('url'), r.get('target_id')) for r in results if r.get('url') and r.get('target_id')] vulnerabilities_by_url = self._get_vulnerabilities_by_url_prefix(website_urls) if website_urls else {} # 格式化结果 formatted_results = [self._format_result(r, vulnerabilities_by_url, asset_type) for r in results] return success_response(data={ 'results': formatted_results, 'total': total, 'page': page, 'pageSize': page_size, 'totalPages': total_pages, 'assetType': asset_type, }) class AssetSearchExportView(APIView): """ 资产搜索导出 API GET /api/assets/search/export/ Query Parameters: q: 搜索查询表达式 asset_type: 资产类型 ('website' 或 'endpoint'，默认 'website') Response: CSV 文件（带 Content-Length，支持浏览器显示下载进度） """ def __init__(self, **kwargs): super().__init__(**kwargs) self.service = AssetSearchService() def _get_headers_and_formatters(self, asset_type: str): """获取 CSV 表头和格式化器""" from apps.common.utils import format_datetime, format_list_field if asset_type == 'website': headers = ['url', 'host', 'title', 'status_code', 'content_type', 'content_length', 'webserver', 'location', 'tech', 'vhost', 'created_at'] else: headers = ['url', 'host', 'title', 'status_code', 'content_type', 'content_length', 'webserver', 'location', 'tech', 'matched_gf_patterns', 'vhost', 'created_at'] formatters = { 'created_at': format_datetime, 'tech': lambda x: format_list_field(x, separator='; '), 'matched_gf_patterns': lambda x: format_list_field(x, separator='; '), 'vhost': lambda x: 'true' if x else ('false' if x is False else ''), } return headers, formatters def get(self, request: Request): """导出搜索结果为 CSV（带 Content-Length，支持下载进度显示）""" from apps.common.utils import create_csv_export_response # 获取搜索查询 query = request.query_params.get('q', '').strip() if not query: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Search query (q) is required', status_code=status.HTTP_400_BAD_REQUEST ) # 获取并验证资产类型 asset_type = request.query_params.get('asset_type', 'website').strip().lower() if asset_type not in VALID_ASSET_TYPES: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=f'Invalid asset_type. Must be one of: {", ".join(VALID_ASSET_TYPES)}', status_code=status.HTTP_400_BAD_REQUEST ) # 检查是否有结果（快速检查，避免空导出） total = self.service.count(query, asset_type) if total == 0: return error_response( code=ErrorCodes.NOT_FOUND, message='No results to export', status_code=status.HTTP_404_NOT_FOUND ) # 获取表头和格式化器 headers, formatters = self._get_headers_and_formatters(asset_type) # 生成文件名 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') filename = f'search_{asset_type}_{timestamp}.csv' # 使用通用导出工具 data_iterator = self.service.search_iter(query, asset_type) return create_csv_export_response( data_iterator=data_iterator, headers=headers, filename=filename, field_formatters=formatters, show_progress=True # 显示下载进度 ) ================================================ FILE: backend/apps/common/__init__.py ================================================ """ 通用工具模块 提供各种共享的工具类和函数 """ from .normalizer import normalize_domain, normalize_ip, normalize_cidr, normalize_target from .validators import validate_domain, validate_ip, validate_cidr, detect_target_type __all__ = [ # 规范化工具 'normalize_domain', 'normalize_ip', 'normalize_cidr', 'normalize_target', # 验证器 'validate_domain', 'validate_ip', 'validate_cidr', 'detect_target_type', ] ================================================ FILE: backend/apps/common/apps.py ================================================ from django.apps import AppConfig class CommonConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'apps.common' # 因为在 apps/ 目录下 def ready(self): """应用就绪时调用""" pass ================================================ FILE: backend/apps/common/authentication.py ================================================ from rest_framework.authentication import SessionAuthentication class CsrfExemptSessionAuthentication(SessionAuthentication): """ 前后端分离项目使用的 Session 认证 禁用 CSRF 检查，因为 CSRF 主要防护的是同源页面表单提交 前后端分离项目通过 CORS 控制跨域访问，不需要 CSRF """ def enforce_csrf(self, request): # 不执行 CSRF 检查 return ================================================ FILE: backend/apps/common/container_bootstrap.py ================================================ """ 容器启动引导模块 提供动态任务容器的通用初始化功能： - 从 Server 配置中心获取配置 - 设置环境变量 - 初始化 Django 环境 使用方式： from apps.common.container_bootstrap import fetch_config_and_setup_django fetch_config_and_setup_django() # 必须在 Django 导入之前调用 """ import os import sys import requests import logging import urllib3 # 禁用自签名证书的 SSL 警告（远程 Worker 场景） urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) logger = logging.getLogger(__name__) def fetch_config_and_setup_django(): """ 从配置中心获取配置并初始化 Django Note: 必须在 Django 导入之前调用此函数 """ server_url = os.environ.get("SERVER_URL") if not server_url: print("[ERROR] 缺少 SERVER_URL 环境变量", file=sys.stderr) sys.exit(1) # 通过环境变量声明 Worker 身份（本地/远程） is_local = os.environ.get("IS_LOCAL", "false").lower() == "true" config_url = f"{server_url}/api/workers/config/?is_local={str(is_local).lower()}" print(f"[CONFIG] 正在从配置中心获取配置: {config_url}") print(f"[CONFIG] IS_LOCAL={is_local}") try: # 构建请求头（包含 Worker API Key） headers = {} worker_api_key = os.environ.get("WORKER_API_KEY", "") if worker_api_key: headers["X-Worker-API-Key"] = worker_api_key # verify=False: 远程 Worker 通过 HTTPS 访问时可能使用自签名证书 resp = requests.get(config_url, headers=headers, timeout=10, verify=False) resp.raise_for_status() config = resp.json() # 数据库配置（必需） db_host = config['db']['host'] db_port = config['db']['port'] db_name = config['db']['name'] db_user = config['db']['user'] os.environ.setdefault("DB_HOST", db_host) os.environ.setdefault("DB_PORT", db_port) os.environ.setdefault("DB_NAME", db_name) os.environ.setdefault("DB_USER", db_user) os.environ.setdefault("DB_PASSWORD", config['db']['password']) # 日志配置 os.environ.setdefault("LOG_DIR", config['paths']['logs']) os.environ.setdefault("LOG_LEVEL", config['logging']['level']) os.environ.setdefault("ENABLE_COMMAND_LOGGING", str(config['logging']['enableCommandLogging']).lower()) os.environ.setdefault("DEBUG", str(config['debug'])) print(f"[CONFIG] ✓ 配置获取成功") print(f"[CONFIG] DB_HOST: {db_host}") print(f"[CONFIG] DB_PORT: {db_port}") print(f"[CONFIG] DB_NAME: {db_name}") print(f"[CONFIG] DB_USER: {db_user}") except Exception as e: print(f"[ERROR] 获取配置失败: {config_url} - {e}", file=sys.stderr) sys.exit(1) # 初始化 Django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') import django django.setup() return config ================================================ FILE: backend/apps/common/decorators/__init__.py ================================================ """ 通用装饰器模块 提供可在整个项目中复用的装饰器 """ from .db_connection import ( ensure_db_connection, auto_ensure_db_connection, async_check_and_reconnect, ensure_db_connection_async, ) __all__ = [ 'ensure_db_connection', 'auto_ensure_db_connection', 'async_check_and_reconnect', 'ensure_db_connection_async', ] ================================================ FILE: backend/apps/common/decorators/db_connection.py ================================================ """ 数据库连接装饰器 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。 主要功能： - @auto_ensure_db_connection: 类装饰器，自动为所有公共方法添加连接检查 - @ensure_db_connection: 方法装饰器，单独为某个方法添加连接检查 使用场景： - Repository 层的数据库操作 - Service 层需要确保数据库连接的操作 - 任何需要数据库连接健康检查的类或方法 """ import logging import functools import time from django.db import connection from asgiref.sync import sync_to_async logger = logging.getLogger(__name__) def ensure_db_connection(method): """ 方法装饰器：自动确保数据库连接健康 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。 使用场景： - 需要单独装饰某个方法时使用 - 通常建议使用类装饰器 @auto_ensure_db_connection 示例： @ensure_db_connection def my_method(self): # 会自动检查连接健康 ... """ @functools.wraps(method) def wrapper(self, *args, **kwargs): _check_and_reconnect() return method(self, *args, **kwargs) return wrapper def auto_ensure_db_connection(cls): """ 类装饰器：自动给所有公共方法添加数据库连接检查 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。 特性： - 自动装饰所有公共方法 - 跳过私有方法（以 _ 开头） - 跳过类方法和静态方法 - 跳过已经装饰过的方法 使用方式： @auto_ensure_db_connection class MyRepository: def bulk_create(self, items): # 自动添加连接检查 ... def query(self, filters): # 自动添加连接检查 ... def _private_method(self): # 不会添加装饰器 ... 优势： - 无需为每个方法手动添加装饰器 - 减少代码重复 - 降低遗漏风险 """ for attr_name in dir(cls): # 跳过私有方法和魔术方法 if attr_name.startswith('_'): continue attr = getattr(cls, attr_name) # 只装饰可调用的实例方法 if callable(attr) and not isinstance(attr, (staticmethod, classmethod)): # 检查是否已经被装饰过（避免重复装饰） if not hasattr(attr, '_db_connection_ensured'): wrapped = ensure_db_connection(attr) wrapped._db_connection_ensured = True setattr(cls, attr_name, wrapped) return cls def _check_and_reconnect(max_retries=5): """ 检查数据库连接健康状态，必要时使用指数退避重新连接 策略： 1. 尝试执行简单查询测试连接 2. 如果失败，使用指数退避策略重试（最多5次） 3. 每次重试的等待时间：2^attempt 秒 (1s, 2s, 4s, 8s, 16s) 异常处理： - 连接失效时自动重连 - 记录警告日志和重试信息 - 忽略关闭连接时的错误 - 达到最大重试次数后抛出异常 """ last_error = None for attempt in range(max_retries): try: connection.ensure_connection() with connection.cursor() as cursor: cursor.execute("SELECT 1") cursor.fetchone() # 连接成功 if attempt > 0: logger.info(f"数据库重连成功 (尝试 {attempt + 1}/{max_retries})") return except Exception as e: last_error = e logger.warning( f"数据库连接检查失败 (尝试 {attempt + 1}/{max_retries}): {e}" ) # 关闭失效的连接 try: connection.close() except Exception: pass # 忽略关闭时的错误 # 如果还有重试机会，使用指数退避等待 if attempt < max_retries - 1: delay = 2 ** attempt # 指数退避: 1, 2, 4, 8, 16 秒 logger.info(f"等待 {delay} 秒后重试...") time.sleep(delay) else: # 最后一次尝试也失败，抛出异常 logger.error( f"数据库重连失败，已达最大重试次数 ({max_retries})" ) raise last_error async def async_check_and_reconnect(max_retries=5): await sync_to_async(_check_and_reconnect, thread_sensitive=True)(max_retries=max_retries) def ensure_db_connection_async(method): @functools.wraps(method) async def wrapper(*args, **kwargs): await async_check_and_reconnect() return await method(*args, **kwargs) return wrapper __all__ = [ 'ensure_db_connection', 'auto_ensure_db_connection', 'async_check_and_reconnect', 'ensure_db_connection_async', ] ================================================ FILE: backend/apps/common/definitions.py ================================================ from django.db import models class ScanStatus(models.TextChoices): """扫描任务状态枚举""" CANCELLED = 'cancelled', '已取消' COMPLETED = 'completed', '已完成' FAILED = 'failed', '失败' INITIATED = 'initiated', '初始化' RUNNING = 'running', '运行中' class VulnSeverity(models.TextChoices): """漏洞严重性枚举""" UNKNOWN = 'unknown', '未知' INFO = 'info', '信息' LOW = 'low', '低' MEDIUM = 'medium', '中' HIGH = 'high', '高' CRITICAL = 'critical', '危急' ================================================ FILE: backend/apps/common/error_codes.py ================================================ """ 标准化错误码定义 采用简化方案（参考 Stripe、GitHub 等大厂做法）： - 只定义 5-10 个通用错误码 - 未知错误使用通用错误码 - 错误码格式：大写字母和下划线组成 """ class ErrorCodes: """标准化错误码 只定义通用错误码，其他错误使用通用消息。 这是 Stripe、GitHub 等大厂的标准做法。 错误码格式规范： - 使用大写字母和下划线 - 简洁明了，易于理解 - 前端通过错误码映射到 i18n 键 """ # 通用错误码（8 个） VALIDATION_ERROR = 'VALIDATION_ERROR' # 输入验证失败 NOT_FOUND = 'NOT_FOUND' # 资源未找到 PERMISSION_DENIED = 'PERMISSION_DENIED' # 权限不足 SERVER_ERROR = 'SERVER_ERROR' # 服务器内部错误 BAD_REQUEST = 'BAD_REQUEST' # 请求格式错误 CONFLICT = 'CONFLICT' # 资源冲突（如重复创建） UNAUTHORIZED = 'UNAUTHORIZED' # 未认证 RATE_LIMITED = 'RATE_LIMITED' # 请求过于频繁 ================================================ FILE: backend/apps/common/exception_handlers.py ================================================ """ 自定义异常处理器 统一处理 DRF 异常，确保错误响应格式一致 """ from rest_framework.views import exception_handler from rest_framework import status from rest_framework.exceptions import AuthenticationFailed, NotAuthenticated from apps.common.response_helpers import error_response from apps.common.error_codes import ErrorCodes def custom_exception_handler(exc, context): """ 自定义异常处理器 处理认证相关异常，返回统一格式的错误响应 """ # 先调用 DRF 默认的异常处理器 response = exception_handler(exc, context) if response is not None: # 处理 401 未认证错误 if response.status_code == status.HTTP_401_UNAUTHORIZED: return error_response( code=ErrorCodes.UNAUTHORIZED, message='Authentication required', status_code=status.HTTP_401_UNAUTHORIZED ) # 处理 403 权限不足错误 if response.status_code == status.HTTP_403_FORBIDDEN: return error_response( code=ErrorCodes.PERMISSION_DENIED, message='Permission denied', status_code=status.HTTP_403_FORBIDDEN ) # 处理 NotAuthenticated 和 AuthenticationFailed 异常 if isinstance(exc, (NotAuthenticated, AuthenticationFailed)): return error_response( code=ErrorCodes.UNAUTHORIZED, message='Authentication required', status_code=status.HTTP_401_UNAUTHORIZED ) return response ================================================ FILE: backend/apps/common/management/commands/db_health_check.py ================================================ """ 数据库健康检查管理命令 使用方法: python manage.py db_health_check # 基础延迟测试（5次） python manage.py db_health_check --test-count=10 # 指定测试次数 python manage.py db_health_check --reconnect # 强制重连后测试 python manage.py db_health_check --stats # 显示连接统计信息 python manage.py db_health_check --api-test # 测试实际API查询性能 python manage.py db_health_check --monitor # 监控数据库服务器性能指标 python manage.py db_health_check --db=other # 指定数据库别名 python manage.py db_health_check --api-test --test-count=10 # API性能测试10次 python manage.py db_health_check --reconnect --api-test # 重连后进行API测试 示例: # 快速延迟检查 python manage.py db_health_check --test-count=3 # 完整性能分析 python manage.py db_health_check --api-test --stats --test-count=5 # 数据库服务器监控 python manage.py db_health_check --monitor """ import time import logging from django.core.management.base import BaseCommand from django.db import connection, connections from django.conf import settings logger = logging.getLogger(__name__) class Command(BaseCommand): """Django管理命令：数据库健康检查""" help = '检查数据库连接健康状态' def add_arguments(self, parser): parser.add_argument( '--reconnect', action='store_true', help='强制重新连接数据库', ) parser.add_argument( '--stats', action='store_true', help='显示连接统计信息', ) parser.add_argument( '--db', type=str, default='default', help='指定数据库别名（默认: default）', ) parser.add_argument( '--test-count', type=int, default=5, help='延迟测试次数（默认: 5）', ) parser.add_argument( '--api-test', action='store_true', help='测试实际API查询性能', ) parser.add_argument( '--monitor', action='store_true', help='监控数据库服务器性能指标', ) def handle(self, *args, **options): db_alias = options['db'] test_count = options['test_count'] self.stdout.write(f"正在测试数据库 '{db_alias}' 连接...") # 获取数据库连接 db_connection = connections[db_alias] if options['reconnect']: self.stdout.write("强制重新连接数据库...") try: db_connection.close() db_connection.ensure_connection() self.stdout.write(self.style.SUCCESS("✓ 重连成功")) except Exception as e: self.stdout.write(self.style.ERROR(f"✗ 重连失败: {e}")) return # 测试数据库延迟 if options['monitor']: self.monitor_database_performance(db_connection) elif options['api_test']: self.test_api_performance(test_count) else: self.test_database_latency(db_connection, test_count) if options['stats']: self.show_connection_stats(db_connection) def test_database_latency(self, db_connection, test_count): """测试数据库延迟""" self.stdout.write(f"\n开始延迟测试（{test_count} 次）...") latencies = [] successful_tests = 0 connection_times = [] query_times = [] for i in range(test_count): try: # 测试连接建立时间 conn_start = time.time() db_connection.ensure_connection() conn_end = time.time() conn_time = (conn_end - conn_start) * 1000 connection_times.append(conn_time) # 测试查询执行时间 query_start = time.time() with db_connection.cursor() as cursor: cursor.execute("SELECT 1") result = cursor.fetchone() query_end = time.time() query_time = (query_end - query_start) * 1000 query_times.append(query_time) total_time = conn_time + query_time latencies.append(total_time) successful_tests += 1 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) ✓") except Exception as e: self.stdout.write(f" 测试 {i+1}: 失败 - {e}") # 计算统计信息 if latencies: avg_latency = sum(latencies) / len(latencies) min_latency = min(latencies) max_latency = max(latencies) avg_conn_time = sum(connection_times) / len(connection_times) avg_query_time = sum(query_times) / len(query_times) self.stdout.write(f"\n延迟统计:") self.stdout.write(f" 成功测试: {successful_tests}/{test_count}") self.stdout.write(f" 平均总延迟: {avg_latency:.2f}ms") self.stdout.write(f" 平均连接时间: {avg_conn_time:.2f}ms") self.stdout.write(f" 平均查询时间: {avg_query_time:.2f}ms") self.stdout.write(f" 最小延迟: {min_latency:.2f}ms") self.stdout.write(f" 最大延迟: {max_latency:.2f}ms") # 分析延迟来源 if avg_conn_time > avg_query_time * 2: self.stdout.write(self.style.WARNING(" 分析: 连接建立是主要延迟来源")) elif avg_query_time > avg_conn_time * 2: self.stdout.write(self.style.WARNING(" 分析: 查询执行是主要延迟来源")) else: self.stdout.write(" 分析: 连接和查询延迟相当") # 延迟评估 if avg_latency < 10: self.stdout.write(self.style.SUCCESS(" 评估: 延迟很低，连接优秀")) elif avg_latency < 50: self.stdout.write(self.style.SUCCESS(" 评估: 延迟较低，连接良好")) elif avg_latency < 200: self.stdout.write(self.style.WARNING(" 评估: 延迟中等，连接可接受")) else: self.stdout.write(self.style.ERROR(" 评估: 延迟较高，可能影响性能")) else: self.stdout.write(self.style.ERROR("所有测试都失败了")) def test_api_performance(self, test_count): """测试实际API查询性能""" self.stdout.write(f"\n开始API性能测试（{test_count} 次）...") # 导入必要的模块 from apps.scan.models import Scan from apps.engine.models import ScanEngine from apps.targets.models import Target from django.db.models import Count api_latencies = [] successful_tests = 0 for i in range(test_count): try: start_time = time.time() # 测试多种查询类型 # 1. 简单查询 - 引擎列表 engines = list(ScanEngine.objects.all()[:10]) # 2. 复杂查询 - 扫描列表（即使没有数据也会执行复杂的JOIN） scan_queryset = Scan.objects.select_related( 'target', 'engine' ).annotate( subdomains_count=Count('subdomains', distinct=True), endpoints_count=Count('endpoints', distinct=True), ips_count=Count('ip_addresses', distinct=True) ).order_by('-id')[:10] scan_list = list(scan_queryset) # 3. 目标查询 targets = list(Target.objects.all()[:10]) end_time = time.time() latency_ms = (end_time - start_time) * 1000 api_latencies.append(latency_ms) successful_tests += 1 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)})") except Exception as e: self.stdout.write(f" API测试 {i+1}: 失败 - {e}") # 计算API查询统计信息 if api_latencies: avg_latency = sum(api_latencies) / len(api_latencies) min_latency = min(api_latencies) max_latency = max(api_latencies) self.stdout.write(f"\nAPI查询统计:") self.stdout.write(f" 成功测试: {successful_tests}/{test_count}") self.stdout.write(f" 平均延迟: {avg_latency:.2f}ms") self.stdout.write(f" 最小延迟: {min_latency:.2f}ms") self.stdout.write(f" 最大延迟: {max_latency:.2f}ms") # 与简单查询对比 simple_query_avg = 150 # 基于之前的测试结果 overhead = avg_latency - simple_query_avg self.stdout.write(f" 业务逻辑开销: {overhead:.2f}ms") # 性能评估 if avg_latency < 500: self.stdout.write(self.style.SUCCESS(" 评估: API响应速度良好")) elif avg_latency < 1000: self.stdout.write(self.style.WARNING(" 评估: API响应速度一般")) else: self.stdout.write(self.style.ERROR(" 评估: API响应速度较慢，需要优化")) else: self.stdout.write(self.style.ERROR("所有API测试都失败了")) def monitor_database_performance(self, db_connection): """监控数据库服务器性能指标""" self.stdout.write(f"\n开始监控数据库性能指标...") try: with db_connection.cursor() as cursor: # 1. 数据库基本信息 self.stdout.write(f"\n=== 数据库基本信息 ===") cursor.execute("SELECT version();") version = cursor.fetchone()[0] self.stdout.write(f"PostgreSQL版本: {version}") cursor.execute("SELECT current_database();") db_name = cursor.fetchone()[0] self.stdout.write(f"当前数据库: {db_name}") # 2. 连接信息 self.stdout.write(f"\n=== 连接状态 ===") cursor.execute(""" SELECT count(*) as total_connections, count(*) FILTER (WHERE state = 'active') as active_connections, count(*) FILTER (WHERE state = 'idle') as idle_connections FROM pg_stat_activity; """) conn_stats = cursor.fetchone() self.stdout.write(f"总连接数: {conn_stats[0]}") self.stdout.write(f"活跃连接: {conn_stats[1]}") self.stdout.write(f"空闲连接: {conn_stats[2]}") # 3. 数据库大小 self.stdout.write(f"\n=== 数据库大小 ===") cursor.execute(""" SELECT pg_size_pretty(pg_database_size(current_database())) as db_size; """) db_size = cursor.fetchone()[0] self.stdout.write(f"数据库大小: {db_size}") # 4. 表统计信息 self.stdout.write(f"\n=== 主要表统计 ===") cursor.execute(""" SELECT schemaname, relname, n_tup_ins as inserts, n_tup_upd as updates, n_tup_del as deletes, n_live_tup as live_rows, n_dead_tup as dead_rows FROM pg_stat_user_tables WHERE schemaname = 'public' ORDER BY n_live_tup DESC LIMIT 10; """) tables = cursor.fetchall() if tables: for table in tables: 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]})") else: self.stdout.write(" 暂无表统计数据") # 5. 慢查询统计 self.stdout.write(f"\n=== 查询性能统计 ===") cursor.execute(""" SELECT query, calls, total_time, mean_time, rows FROM pg_stat_statements WHERE query NOT LIKE '%pg_stat_statements%' ORDER BY mean_time DESC LIMIT 5; """) try: slow_queries = cursor.fetchall() if slow_queries: for i, query in enumerate(slow_queries, 1): self.stdout.write(f" {i}. 平均耗时: {query[3]:.2f}ms, 调用次数: {query[1]}") self.stdout.write(f" 查询: {query[0][:100]}...") else: self.stdout.write(" 未找到查询统计（可能未启用pg_stat_statements扩展）") except Exception: self.stdout.write(" 查询统计不可用（需要pg_stat_statements扩展）") # 6. 锁信息 self.stdout.write(f"\n=== 锁状态 ===") cursor.execute(""" SELECT mode, count(*) FROM pg_locks GROUP BY mode ORDER BY count(*) DESC; """) locks = cursor.fetchall() total_locks = sum(lock[1] for lock in locks) self.stdout.write(f"总锁数量: {total_locks}") for lock in locks: self.stdout.write(f" {lock[0]}: {lock[1]} 个") # 7. 缓存命中率 self.stdout.write(f"\n=== 缓存性能 ===") cursor.execute(""" SELECT sum(heap_blks_read) as heap_read, sum(heap_blks_hit) as heap_hit, sum(heap_blks_hit) / (sum(heap_blks_hit) + sum(heap_blks_read)) * 100 as cache_hit_ratio FROM pg_statio_user_tables; """) cache_stats = cursor.fetchone() if cache_stats[0] and cache_stats[1]: self.stdout.write(f"缓存命中率: {cache_stats[2]:.2f}%") self.stdout.write(f"磁盘读取: {cache_stats[0]} 块") self.stdout.write(f"缓存命中: {cache_stats[1]} 块") else: self.stdout.write("缓存统计: 暂无数据") # 8. 检查点和WAL self.stdout.write(f"\n=== WAL和检查点 ===") cursor.execute(""" SELECT checkpoints_timed, checkpoints_req, checkpoint_write_time, checkpoint_sync_time FROM pg_stat_bgwriter; """) bgwriter = cursor.fetchone() self.stdout.write(f"定时检查点: {bgwriter[0]}") self.stdout.write(f"请求检查点: {bgwriter[1]}") self.stdout.write(f"检查点写入时间: {bgwriter[2]}ms") self.stdout.write(f"检查点同步时间: {bgwriter[3]}ms") # 9. 当前活跃查询 self.stdout.write(f"\n=== 当前活跃查询 ===") cursor.execute(""" SELECT pid, application_name, state, query_start, now() - query_start as duration, left(query, 100) as query_preview FROM pg_stat_activity WHERE state = 'active' AND query NOT LIKE '%pg_stat_activity%' ORDER BY query_start; """) active_queries = cursor.fetchall() if active_queries: for query in active_queries: self.stdout.write(f" PID {query[0]} ({query[1]}): 运行 {query[4]}") self.stdout.write(f" 查询: {query[5]}...") else: self.stdout.write(" 当前无活跃查询") except Exception as e: self.stdout.write(self.style.ERROR(f"监控失败: {e}")) def show_connection_stats(self, db_connection): """显示连接统计信息""" self.stdout.write(f"\n连接信息:") # 基本连接信息 settings_dict = db_connection.settings_dict self.stdout.write(f" 数据库类型: {db_connection.vendor}") self.stdout.write(f" 主机: {settings_dict.get('HOST', 'localhost')}") self.stdout.write(f" 端口: {settings_dict.get('PORT', '5432')}") self.stdout.write(f" 数据库名: {settings_dict.get('NAME', '')}") self.stdout.write(f" 用户: {settings_dict.get('USER', '')}") # 连接配置 conn_max_age = settings_dict.get('CONN_MAX_AGE', 0) self.stdout.write(f" 连接最大存活时间: {conn_max_age}秒") # 查询统计 if hasattr(db_connection, 'queries'): query_count = len(db_connection.queries) if query_count > 0: total_time = sum(float(q['time']) for q in db_connection.queries) self.stdout.write(f" 查询次数: {query_count}") self.stdout.write(f" 总查询时间: {total_time:.4f}秒") # 连接状态 is_connected = hasattr(db_connection, 'connection') and db_connection.connection is not None self.stdout.write(f" 连接状态: {'已连接' if is_connected else '未连接'}") ================================================ FILE: backend/apps/common/management/commands/db_monitor.py ================================================ """ 简化的数据库性能监控命令 专注于可能导致查询延迟的关键指标 """ import time from django.core.management.base import BaseCommand from django.db import connections class Command(BaseCommand): """简化的数据库性能监控""" help = '监控数据库性能关键指标' def add_arguments(self, parser): parser.add_argument( '--interval', type=int, default=5, help='监控间隔（秒，默认: 5）', ) parser.add_argument( '--count', type=int, default=3, help='监控次数（默认: 3）', ) def handle(self, *args, **options): interval = options['interval'] count = options['count'] self.stdout.write("🔍 数据库性能监控开始...") for i in range(count): if i > 0: time.sleep(interval) self.stdout.write(f"\n=== 第 {i+1} 次监控 ===") self.monitor_key_metrics() def monitor_key_metrics(self): """监控关键性能指标""" db_connection = connections['default'] try: with db_connection.cursor() as cursor: # 1. 连接和活动状态 cursor.execute(""" SELECT count(*) as total_connections, count(*) FILTER (WHERE state = 'active') as active, count(*) FILTER (WHERE state = 'idle') as idle, count(*) FILTER (WHERE state = 'idle in transaction') as idle_in_trans, count(*) FILTER (WHERE wait_event_type IS NOT NULL) as waiting FROM pg_stat_activity; """) conn_stats = cursor.fetchone() 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]}") # 2. 锁等待情况 cursor.execute(""" SELECT count(*) as total_locks, count(*) FILTER (WHERE NOT granted) as waiting_locks FROM pg_locks; """) lock_stats = cursor.fetchone() if lock_stats[1] > 0: self.stdout.write(self.style.WARNING(f"🔒 锁: 总计{lock_stats[0]} | 等待{lock_stats[1]}")) else: self.stdout.write(f"🔒 锁: 总计{lock_stats[0]} | 等待{lock_stats[1]}") # 3. 长时间运行的查询 cursor.execute(""" SELECT pid, application_name, now() - query_start as duration, state, left(query, 60) as query_preview FROM pg_stat_activity WHERE state = 'active' AND query_start < now() - interval '1 second' AND query NOT LIKE '%pg_stat_activity%' ORDER BY query_start; """) long_queries = cursor.fetchall() if long_queries: self.stdout.write(self.style.WARNING(f"⏱️ 长查询 ({len(long_queries)} 个):")) for query in long_queries: self.stdout.write(f" PID {query[0]} ({query[1]}): {query[2]} - {query[4]}...") else: self.stdout.write("⏱️ 长查询: 无") # 4. 缓存命中率 cursor.execute(""" SELECT sum(heap_blks_hit) as cache_hits, sum(heap_blks_read) as disk_reads, CASE WHEN sum(heap_blks_hit) + sum(heap_blks_read) = 0 THEN 0 ELSE round(sum(heap_blks_hit) * 100.0 / (sum(heap_blks_hit) + sum(heap_blks_read)), 2) END as hit_ratio FROM pg_statio_user_tables; """) cache_stats = cursor.fetchone() if cache_stats[0] or cache_stats[1]: hit_ratio = cache_stats[2] or 0 if hit_ratio < 95: self.stdout.write(self.style.WARNING(f"💾 缓存命中率: {hit_ratio}% (缓存:{cache_stats[0]}, 磁盘:{cache_stats[1]})")) else: self.stdout.write(f"💾 缓存命中率: {hit_ratio}% (缓存:{cache_stats[0]}, 磁盘:{cache_stats[1]})") else: self.stdout.write("💾 缓存: 暂无统计数据") # 5. 检查点活动（尝试获取，如果失败则跳过） try: cursor.execute("SELECT * FROM pg_stat_bgwriter LIMIT 1;") bgwriter_cols = [desc[0] for desc in cursor.description] if 'checkpoints_timed' in bgwriter_cols: cursor.execute(""" SELECT checkpoints_timed, checkpoints_req, checkpoint_write_time, checkpoint_sync_time FROM pg_stat_bgwriter; """) bgwriter = cursor.fetchone() total_checkpoints = bgwriter[0] + bgwriter[1] if bgwriter[2] > 10000 or bgwriter[3] > 5000: self.stdout.write(self.style.WARNING(f"📝 检查点: 总计{total_checkpoints} | 写入{bgwriter[2]}ms | 同步{bgwriter[3]}ms")) else: self.stdout.write(f"📝 检查点: 总计{total_checkpoints} | 写入{bgwriter[2]}ms | 同步{bgwriter[3]}ms") else: self.stdout.write("📝 检查点: 统计不可用") except Exception: self.stdout.write("📝 检查点: 统计不可用") # 6. 数据库大小变化 cursor.execute("SELECT pg_database_size(current_database());") db_size = cursor.fetchone()[0] db_size_mb = round(db_size / 1024 / 1024, 2) self.stdout.write(f"💿 数据库大小: {db_size_mb} MB") # 7. 测试查询延迟 start_time = time.time() cursor.execute("SELECT 1") cursor.fetchone() query_latency = (time.time() - start_time) * 1000 if query_latency > 500: self.stdout.write(self.style.ERROR(f"⚡ 查询延迟: {query_latency:.2f}ms (高)")) elif query_latency > 200: self.stdout.write(self.style.WARNING(f"⚡ 查询延迟: {query_latency:.2f}ms (中)")) else: self.stdout.write(f"⚡ 查询延迟: {query_latency:.2f}ms (正常)") except Exception as e: self.stdout.write(self.style.ERROR(f"监控失败: {e}")) ================================================ FILE: backend/apps/common/management/commands/init_admin.py ================================================ """ 初始化 admin 用户 用法: python manage.py init_admin [--password <password>] """ import os from django.core.management.base import BaseCommand from django.contrib.auth import get_user_model User = get_user_model() DEFAULT_USERNAME = 'admin' DEFAULT_PASSWORD = 'admin' # 默认密码，建议首次登录后修改 class Command(BaseCommand): help = '初始化 admin 用户' def add_arguments(self, parser): parser.add_argument( '--password', type=str, default=os.getenv('ADMIN_PASSWORD', DEFAULT_PASSWORD), help='admin 用户密码 (默认: admin 或 ADMIN_PASSWORD 环境变量)' ) parser.add_argument( '--force', action='store_true', help='强制重置密码（如果用户已存在）' ) def handle(self, *args, **options): password = options['password'] force = options['force'] try: user = User.objects.get(username=DEFAULT_USERNAME) if force: user.set_password(password) user.save() self.stdout.write( self.style.SUCCESS(f'✓ admin 用户密码已重置') ) else: self.stdout.write( self.style.WARNING(f'⚠ admin 用户已存在，跳过创建（使用 --force 重置密码）') ) except User.DoesNotExist: User.objects.create_superuser( username=DEFAULT_USERNAME, email='admin@localhost', password=password ) self.stdout.write( self.style.SUCCESS(f'✓ admin 用户创建成功') ) self.stdout.write( self.style.WARNING(f' 用户名: {DEFAULT_USERNAME}') ) self.stdout.write( self.style.WARNING(f' 密码: {password}') ) self.stdout.write( self.style.WARNING(f' ⚠ 请首次登录后修改密码!') ) ================================================ FILE: backend/apps/common/migrations/0001_initial.py ================================================ # Generated by Django 5.2.7 on 2026-01-06 00:55 import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ('targets', '0001_initial'), ] operations = [ migrations.CreateModel( name='BlacklistRule', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('pattern', models.CharField(help_text='规则模式，如 *.gov, 10.0.0.0/8, 192.168.1.1', max_length=255)), ('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)), ('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)), ('description', models.CharField(blank=True, default='', help_text='规则描述', max_length=500)), ('created_at', models.DateTimeField(auto_now_add=True)), ('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')), ], options={ 'db_table': 'blacklist_rule', 'ordering': ['-created_at'], 'indexes': [models.Index(fields=['scope', 'rule_type'], name='blacklist_r_scope_6ff77f_idx'), models.Index(fields=['target', 'scope'], name='blacklist_r_target__191441_idx')], 'constraints': [models.UniqueConstraint(fields=('pattern', 'scope', 'target'), name='unique_blacklist_rule')], }, ), ] ================================================ FILE: backend/apps/common/migrations/__init__.py ================================================ ================================================ FILE: backend/apps/common/models/__init__.py ================================================ """Common models""" from apps.common.models.blacklist import BlacklistRule __all__ = ['BlacklistRule'] ================================================ FILE: backend/apps/common/models/blacklist.py ================================================ """黑名单规则模型""" from django.db import models class BlacklistRule(models.Model): """黑名单规则模型 用于存储黑名单过滤规则，支持域名、IP、CIDR 三种类型。 支持两层作用域：全局规则和 Target 级规则。 """ class RuleType(models.TextChoices): DOMAIN = 'domain', '域名' IP = 'ip', 'IP地址' CIDR = 'cidr', 'CIDR范围' KEYWORD = 'keyword', '关键词' class Scope(models.TextChoices): GLOBAL = 'global', '全局规则' TARGET = 'target', 'Target规则' id = models.AutoField(primary_key=True) pattern = models.CharField( max_length=255, help_text='规则模式，如 *.gov, 10.0.0.0/8, 192.168.1.1' ) rule_type = models.CharField( max_length=20, choices=RuleType.choices, help_text='规则类型：domain, ip, cidr' ) scope = models.CharField( max_length=20, choices=Scope.choices, db_index=True, help_text='作用域：global 或 target' ) target = models.ForeignKey( 'targets.Target', on_delete=models.CASCADE, null=True, blank=True, related_name='blacklist_rules', help_text='关联的 Target（仅 scope=target 时有值）' ) description = models.CharField( max_length=500, blank=True, default='', help_text='规则描述' ) created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'blacklist_rule' indexes = [ models.Index(fields=['scope', 'rule_type']), models.Index(fields=['target', 'scope']), ] constraints = [ models.UniqueConstraint( fields=['pattern', 'scope', 'target'], name='unique_blacklist_rule' ), ] ordering = ['-created_at'] def __str__(self): if self.scope == self.Scope.TARGET and self.target: return f"[{self.scope}:{self.target_id}] {self.pattern}" return f"[{self.scope}] {self.pattern}" ================================================ FILE: backend/apps/common/normalizer.py ================================================ import re # 预编译正则表达式，避免每次调用时重新编译 IP_PATTERN = re.compile(r'^[\d.:]+$') def normalize_domain(domain: str) -> str: """ 规范化域名 - 去除首尾空格 - 转换为小写 - 移除末尾的点 Args: domain: 原始域名 Returns: 规范化后的域名 Raises: ValueError: 域名为空或只包含空格 """ if not domain or not domain.strip(): raise ValueError("域名不能为空") normalized = domain.strip().lower() # 移除末尾的点 if normalized.endswith('.'): normalized = normalized.rstrip('.') return normalized def normalize_ip(ip: str) -> str: """ 规范化 IP 地址 - 去除首尾空格 - IP 地址不转小写（保持原样） Args: ip: 原始 IP 地址 Returns: 规范化后的 IP 地址 Raises: ValueError: IP 地址为空或只包含空格 """ if not ip or not ip.strip(): raise ValueError("IP 地址不能为空") return ip.strip() def normalize_cidr(cidr: str) -> str: """ 规范化 CIDR - 去除首尾空格 - CIDR 不转小写（保持原样） Args: cidr: 原始 CIDR Returns: 规范化后的 CIDR Raises: ValueError: CIDR 为空或只包含空格 """ if not cidr or not cidr.strip(): raise ValueError("CIDR 不能为空") return cidr.strip() def normalize_target(target: str) -> str: """ 规范化目标名称（统一入口） 根据目标格式自动选择合适的规范化函数 Args: target: 原始目标名称 Returns: 规范化后的目标名称 Raises: ValueError: 目标为空或只包含空格 """ if not target or not target.strip(): raise ValueError("目标名称不能为空") # 先去除首尾空格 trimmed = target.strip() # 如果包含 /，按 CIDR 处理 if '/' in trimmed: return normalize_cidr(trimmed) # 如果是纯数字、点、冒号组成，按 IP 处理 if IP_PATTERN.match(trimmed): return normalize_ip(trimmed) # 否则按域名处理 return normalize_domain(trimmed) ================================================ FILE: backend/apps/common/pagination.py ================================================ """ 自定义分页器，匹配前端响应格式 """ from rest_framework.pagination import PageNumberPagination from rest_framework.response import Response class BasePagination(PageNumberPagination): """ 基础分页器，统一返回格式 响应格式： { "results": [...], "total": 100, "page": 1, "pageSize": 10, "totalPages": 10 } """ page_size = 10 # 默认每页 10 条 page_size_query_param = 'pageSize' # 允许客户端自定义每页数量 max_page_size = 1000 # 最大每页数量限制 def get_paginated_response(self, data): """自定义响应格式""" return Response({ 'results': data, # 数据列表 'total': self.page.paginator.count, # 总记录数 'page': self.page.number, # 当前页码（从 1 开始） 'page_size': self.page.paginator.per_page, # 实际使用的每页大小 'total_pages': self.page.paginator.num_pages # 总页数 }) ================================================ FILE: backend/apps/common/permissions.py ================================================ """ 集中式权限管理 实现三类端点的认证逻辑： 1. 公开端点（无需认证）：登录、登出、获取当前用户状态 2. Worker 端点（API Key 认证）：注册、配置、心跳、回调、资源同步 3. 业务端点（Session 认证）：其他所有 API """ import re import logging from django.conf import settings from rest_framework.permissions import BasePermission logger = logging.getLogger(__name__) # 公开端点白名单（无需任何认证） PUBLIC_ENDPOINTS = [ r'^/api/auth/login/$', r'^/api/auth/logout/$', r'^/api/auth/me/$', ] # Worker API 端点（需要 API Key 认证） # 包括：注册、配置、心跳、回调、资源同步（字典下载） WORKER_ENDPOINTS = [ r'^/api/workers/register/$', r'^/api/workers/config/$', r'^/api/workers/\d+/heartbeat/$', r'^/api/callbacks/', # 资源同步端点（Worker 需要下载字典文件） r'^/api/wordlists/download/$', # 注意：指纹导出 API 使用 Session 认证（前端用户导出用） # Worker 通过数据库直接获取指纹数据，不需要 HTTP API ] class IsAuthenticatedOrPublic(BasePermission): """ 自定义权限类： - 白名单内的端点公开访问 - Worker 端点需要 API Key 认证 - 其他端点需要 Session 认证 """ def has_permission(self, request, view): path = request.path # 检查是否在公开白名单内 for pattern in PUBLIC_ENDPOINTS: if re.match(pattern, path): return True # 检查是否是 Worker 端点 for pattern in WORKER_ENDPOINTS: if re.match(pattern, path): return self._check_worker_api_key(request) # 其他路径需要 Session 认证 return request.user and request.user.is_authenticated def _check_worker_api_key(self, request): """验证 Worker API Key""" api_key = request.headers.get('X-Worker-API-Key') expected_key = getattr(settings, 'WORKER_API_KEY', None) if not expected_key: # 未配置 API Key 时，拒绝所有 Worker 请求 logger.warning("WORKER_API_KEY 未配置，拒绝 Worker 请求") return False if not api_key: logger.warning(f"Worker 请求缺少 X-Worker-API-Key Header: {request.path}") return False if api_key != expected_key: logger.warning(f"Worker API Key 无效: {request.path}") return False return True ================================================ FILE: backend/apps/common/prefect_django_setup.py ================================================ """ Prefect Flow Django 环境初始化模块 在所有 Prefect Flow 文件开头导入此模块即可自动配置 Django 环境 """ import os import sys def setup_django_for_prefect(): """ 为 Prefect Flow 配置 Django 环境 此函数会： 1. 添加项目根目录到 Python 路径 2. 设置 DJANGO_SETTINGS_MODULE 环境变量 3. 调用 django.setup() 初始化 Django 4. 关闭旧的数据库连接，确保使用新连接 使用方式： from apps.common.prefect_django_setup import setup_django_for_prefect setup_django_for_prefect() """ # 获取项目根目录（backend 目录） current_dir = os.path.dirname(os.path.abspath(__file__)) backend_dir = os.path.join(current_dir, '../..') backend_dir = os.path.abspath(backend_dir) # 添加到 Python 路径 if backend_dir not in sys.path: sys.path.insert(0, backend_dir) # 配置 Django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') # 初始化 Django import django django.setup() # 关闭所有旧的数据库连接，确保 Worker 进程使用新连接 # 解决 "server closed the connection unexpectedly" 问题 from django.db import connections connections.close_all() def close_old_db_connections(): """ 关闭旧的数据库连接 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。 适用于： - Flow 开始前 - Task 开始前 - 长时间空闲后恢复操作前 """ from django.db import connections connections.close_all() # 自动执行初始化（导入即生效） setup_django_for_prefect() ================================================ FILE: backend/apps/common/response_helpers.py ================================================ """ 标准化 API 响应辅助函数 遵循行业标准（RFC 9457 Problem Details）和大厂实践（Google、Stripe、GitHub）： - 成功响应只包含数据，不包含 message 字段 - 错误响应使用机器可读的错误码，前端映射到 i18n 消息 """ from typing import Any, Dict, List, Optional, Union from rest_framework import status from rest_framework.response import Response def success_response( data: Optional[Union[Dict[str, Any], List[Any]]] = None, status_code: int = status.HTTP_200_OK ) -> Response: """ 标准化成功响应 直接返回数据，不做包装，符合 Stripe/GitHub 等大厂标准。 Args: data: 响应数据（dict 或 list） status_code: HTTP 状态码，默认 200 Returns: Response: DRF Response 对象 Examples: # 单个资源 >>> success_response(data={'id': 1, 'name': 'Test'}) {'id': 1, 'name': 'Test'} # 操作结果 >>> success_response(data={'count': 3, 'scans': [...]}) {'count': 3, 'scans': [...]} # 创建资源 >>> success_response(data={'id': 1}, status_code=201) """ # 注意：不能使用 data or {}，因为空列表 [] 会被转换为 {} if data is None: data = {} return Response(data, status=status_code) def error_response( code: str, message: Optional[str] = None, details: Optional[List[Dict[str, Any]]] = None, status_code: int = status.HTTP_400_BAD_REQUEST ) -> Response: """ 标准化错误响应 Args: code: 错误码（如 'VALIDATION_ERROR', 'NOT_FOUND'） 格式：大写字母和下划线组成 message: 开发者调试信息（非用户显示） details: 详细错误信息（如字段级验证错误） status_code: HTTP 状态码，默认 400 Returns: Response: DRF Response 对象 Examples: # 简单错误 >>> error_response(code='NOT_FOUND', status_code=404) {'error': {'code': 'NOT_FOUND'}} # 带调试信息 >>> error_response( ... code='VALIDATION_ERROR', ... message='Invalid input data', ... details=[{'field': 'name', 'message': 'Required'}] ... ) {'error': {'code': 'VALIDATION_ERROR', 'message': '...', 'details': [...]}} """ error_body: Dict[str, Any] = {'code': code} if message: error_body['message'] = message if details: error_body['details'] = details return Response({'error': error_body}, status=status_code) ================================================ FILE: backend/apps/common/serializers/__init__.py ================================================ """Common serializers""" from .blacklist_serializers import ( BlacklistRuleSerializer, GlobalBlacklistRuleSerializer, TargetBlacklistRuleSerializer, ) __all__ = [ 'BlacklistRuleSerializer', 'GlobalBlacklistRuleSerializer', 'TargetBlacklistRuleSerializer', ] ================================================ FILE: backend/apps/common/serializers/blacklist_serializers.py ================================================ """黑名单规则序列化器""" from rest_framework import serializers from apps.common.models import BlacklistRule from apps.common.utils import detect_rule_type class BlacklistRuleSerializer(serializers.ModelSerializer): """黑名单规则序列化器""" class Meta: model = BlacklistRule fields = [ 'id', 'pattern', 'rule_type', 'scope', 'target', 'description', 'created_at', ] read_only_fields = ['id', 'rule_type', 'created_at'] def validate_pattern(self, value): """验证规则模式""" if not value or not value.strip(): raise serializers.ValidationError("规则模式不能为空") return value.strip() def create(self, validated_data): """创建规则时自动识别规则类型""" pattern = validated_data.get('pattern', '') validated_data['rule_type'] = detect_rule_type(pattern) return super().create(validated_data) def update(self, instance, validated_data): """更新规则时重新识别规则类型""" if 'pattern' in validated_data: pattern = validated_data['pattern'] validated_data['rule_type'] = detect_rule_type(pattern) return super().update(instance, validated_data) class GlobalBlacklistRuleSerializer(BlacklistRuleSerializer): """全局黑名单规则序列化器""" class Meta(BlacklistRuleSerializer.Meta): fields = ['id', 'pattern', 'rule_type', 'description', 'created_at'] read_only_fields = ['id', 'rule_type', 'created_at'] def create(self, validated_data): """创建全局规则""" validated_data['scope'] = BlacklistRule.Scope.GLOBAL validated_data['target'] = None return super().create(validated_data) class TargetBlacklistRuleSerializer(BlacklistRuleSerializer): """Target 黑名单规则序列化器""" class Meta(BlacklistRuleSerializer.Meta): fields = ['id', 'pattern', 'rule_type', 'description', 'created_at'] read_only_fields = ['id', 'rule_type', 'created_at'] def create(self, validated_data): """创建 Target 规则（target_id 由 view 设置）""" validated_data['scope'] = BlacklistRule.Scope.TARGET return super().create(validated_data) ================================================ FILE: backend/apps/common/services/__init__.py ================================================ """ 通用服务模块 提供系统级别的公共服务，包括： - SystemLogService: 系统日志读取服务 - BlacklistService: 黑名单过滤服务 注意：FilterService 已移至 apps.common.utils.filter_utils 推荐使用: from apps.common.utils.filter_utils import apply_filters """ from .system_log_service import SystemLogService from .blacklist_service import BlacklistService __all__ = [ 'SystemLogService', 'BlacklistService', ] ================================================ FILE: backend/apps/common/services/blacklist_service.py ================================================ """ 黑名单规则管理服务 负责黑名单规则的 CRUD 操作（数据库层面）。 过滤逻辑请使用 apps.common.utils.BlacklistFilter。 架构说明： - Model: BlacklistRule (apps.common.models.blacklist) - Service: BlacklistService (本文件) - 规则 CRUD - Utils: BlacklistFilter (apps.common.utils.blacklist_filter) - 过滤逻辑 - View: GlobalBlacklistView, TargetViewSet.blacklist """ import logging from typing import List, Dict, Any, Optional from django.db.models import QuerySet from apps.common.utils import detect_rule_type logger = logging.getLogger(__name__) def _normalize_patterns(patterns: List[str]) -> List[str]: """ 规范化规则列表：去重 + 过滤空行 Args: patterns: 原始规则列表 Returns: List[str]: 去重后的规则列表（保持顺序） """ return list(dict.fromkeys(filter(None, (p.strip() for p in patterns)))) class BlacklistService: """ 黑名单规则管理服务 只负责规则的 CRUD 操作，不包含过滤逻辑。 过滤逻辑请使用 BlacklistFilter 工具类。 """ def get_global_rules(self) -> QuerySet: """ 获取全局黑名单规则列表 Returns: QuerySet: 全局规则查询集 """ from apps.common.models import BlacklistRule return BlacklistRule.objects.filter(scope=BlacklistRule.Scope.GLOBAL) def get_target_rules(self, target_id: int) -> QuerySet: """ 获取 Target 级黑名单规则列表 Args: target_id: Target ID Returns: QuerySet: Target 级规则查询集 """ from apps.common.models import BlacklistRule return BlacklistRule.objects.filter( scope=BlacklistRule.Scope.TARGET, target_id=target_id ) def get_rules(self, target_id: Optional[int] = None) -> List: """ 获取黑名单规则（全局 + Target 级） Args: target_id: Target ID，用于加载 Target 级规则 Returns: List[BlacklistRule]: 规则列表 """ from apps.common.models import BlacklistRule # 加载全局规则 rules = list(BlacklistRule.objects.filter(scope=BlacklistRule.Scope.GLOBAL)) # 加载 Target 级规则 if target_id: target_rules = BlacklistRule.objects.filter( scope=BlacklistRule.Scope.TARGET, target_id=target_id ) rules.extend(target_rules) return rules def replace_global_rules(self, patterns: List[str]) -> Dict[str, Any]: """ 全量替换全局黑名单规则（PUT 语义） Args: patterns: 新的规则模式列表 Returns: Dict: {'count': int} 最终规则数量 """ from apps.common.models import BlacklistRule count = self._replace_rules( patterns=patterns, scope=BlacklistRule.Scope.GLOBAL, target=None ) logger.info("全量替换全局黑名单规则: %d 条", count) return {'count': count} def replace_target_rules(self, target, patterns: List[str]) -> Dict[str, Any]: """ 全量替换 Target 级黑名单规则（PUT 语义） Args: target: Target 对象 patterns: 新的规则模式列表 Returns: Dict: {'count': int} 最终规则数量 """ from apps.common.models import BlacklistRule count = self._replace_rules( patterns=patterns, scope=BlacklistRule.Scope.TARGET, target=target ) logger.info("全量替换 Target 黑名单规则: %d 条 (Target: %s)", count, target.name) return {'count': count} def _replace_rules(self, patterns: List[str], scope: str, target=None) -> int: """ 内部方法：全量替换规则 Args: patterns: 规则模式列表 scope: 规则作用域 (GLOBAL/TARGET) target: Target 对象（仅 TARGET 作用域需要） Returns: int: 最终规则数量 """ from apps.common.models import BlacklistRule from django.db import transaction patterns = _normalize_patterns(patterns) with transaction.atomic(): # 1. 删除旧规则 delete_filter = {'scope': scope} if target: delete_filter['target'] = target BlacklistRule.objects.filter(**delete_filter).delete() # 2. 创建新规则 if patterns: rules = [ BlacklistRule( pattern=pattern, rule_type=detect_rule_type(pattern), scope=scope, target=target ) for pattern in patterns ] BlacklistRule.objects.bulk_create(rules) return len(patterns) ================================================ FILE: backend/apps/common/services/system_log_service.py ================================================ """ 系统日志服务模块 提供系统日志的读取功能，支持： - 从日志目录读取日志文件 - 限制返回行数，防止内存溢出 - 列出可用的日志文件 """ import fnmatch import logging import os import subprocess from datetime import datetime, timezone from typing import TypedDict logger = logging.getLogger(__name__) class LogFileInfo(TypedDict): """日志文件信息""" filename: str category: str # 'system' | 'error' | 'performance' | 'container' size: int modifiedAt: str # ISO 8601 格式 class SystemLogService: """ 系统日志服务类 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。 """ # 日志文件分类规则 CATEGORY_RULES = [ ('xingrin.log', 'system'), ('xingrin_error.log', 'error'), ('performance.log', 'performance'), ('container_*.log', 'container'), ] def __init__(self): # 日志目录路径 self.log_dir = "/opt/xingrin/logs" self.default_file = "xingrin.log" # 默认日志文件 self.default_lines = 200 # 默认返回行数 self.max_lines = 10000 # 最大返回行数限制 self.timeout_seconds = 3 # tail 命令超时时间 def _categorize_file(self, filename: str) -> str | None: """ 根据文件名判断日志分类 Returns: 分类名称，如果不是日志文件则返回 None """ for pattern, category in self.CATEGORY_RULES: if fnmatch.fnmatch(filename, pattern): return category return None def _validate_filename(self, filename: str) -> bool: """ 验证文件名是否合法（防止路径遍历攻击） Args: filename: 要验证的文件名 Returns: bool: 文件名是否合法 """ # 不允许包含路径分隔符 if '/' in filename or '\\' in filename: return False # 不允许 .. 路径遍历 if '..' in filename: return False # 必须是已知的日志文件类型 return self._categorize_file(filename) is not None def get_log_files(self) -> list[LogFileInfo]: """ 获取所有可用的日志文件列表 Returns: 日志文件信息列表，按分类和文件名排序 """ files: list[LogFileInfo] = [] if not os.path.isdir(self.log_dir): logger.warning("日志目录不存在: %s", self.log_dir) return files for filename in os.listdir(self.log_dir): filepath = os.path.join(self.log_dir, filename) # 只处理文件，跳过目录 if not os.path.isfile(filepath): continue # 判断分类 category = self._categorize_file(filename) if category is None: continue # 获取文件信息 try: stat = os.stat(filepath) modified_at = datetime.fromtimestamp( stat.st_mtime, tz=timezone.utc ).isoformat() files.append({ 'filename': filename, 'category': category, 'size': stat.st_size, 'modifiedAt': modified_at, }) except OSError as e: logger.warning("获取文件信息失败 %s: %s", filepath, e) continue # 排序：按分类优先级（system > error > performance > container），然后按文件名 category_order = {'system': 0, 'error': 1, 'performance': 2, 'container': 3} files.sort(key=lambda f: (category_order.get(f['category'], 99), f['filename'])) return files def get_logs_content(self, filename: str | None = None, lines: int | None = None) -> str: """ 获取系统日志内容 Args: filename: 日志文件名，默认为 xingrin.log lines: 返回的日志行数，默认 200 行，最大 10000 行 Returns: str: 日志内容，每行以换行符分隔，保持原始顺序 Raises: ValueError: 文件名不合法 FileNotFoundError: 日志文件不存在 """ # 文件名处理 if filename is None: filename = self.default_file # 验证文件名 if not self._validate_filename(filename): raise ValueError(f"无效的文件名: {filename}") # 构建完整路径 log_file = os.path.join(self.log_dir, filename) # 检查文件是否存在 if not os.path.isfile(log_file): raise FileNotFoundError(f"日志文件不存在: {filename}") # 参数校验和默认值处理 if lines is None: lines = self.default_lines lines = int(lines) if lines < 1: lines = 1 if lines > self.max_lines: lines = self.max_lines # 使用 tail 命令读取日志文件末尾内容 cmd = ["tail", "-n", str(lines), log_file] result = subprocess.run( cmd, capture_output=True, text=True, timeout=self.timeout_seconds, check=False, ) if result.returncode != 0: logger.warning( "tail command failed: returncode=%s stderr=%s", result.returncode, (result.stderr or "").strip(), ) # 直接返回原始内容，保持文件中的顺序 return result.stdout or "" ================================================ FILE: backend/apps/common/signals.py ================================================ """通用信号定义 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。 使用方式： 1. 发布信号：signal.send(sender=SomeClass, **kwargs) 2. 接收信号：@receiver(signal) def handler(sender, **kwargs): ... """ from django.dispatch import Signal # ==================== 漏洞相关信号 ==================== # 漏洞保存完成信号 # 参数： # - items: List[VulnerabilitySnapshotDTO] 保存的漏洞列表 # - scan_id: int 扫描任务ID # - target_id: int 目标ID vulnerabilities_saved = Signal() # ==================== Worker 相关信号 ==================== # Worker 删除失败信号（只在失败时发送） # 参数： # - worker_name: str Worker 名称 # - message: str 失败原因 worker_delete_failed = Signal() # 所有 Worker 高负载信号 # 参数： # - worker_name: str 被选中的 Worker 名称 # - cpu: float CPU 使用率 # - mem: float 内存使用率 all_workers_high_load = Signal() ================================================ FILE: backend/apps/common/urls.py ================================================ """ 通用模块 URL 配置 路由说明： - /api/health/ 健康检查接口（无需认证） - /api/auth/* 认证相关接口（登录、登出、用户信息） - /api/system/* 系统管理接口（日志查看等） - /api/blacklist/* 黑名单管理接口 """ from django.urls import path from .views import ( LoginView, LogoutView, MeView, ChangePasswordView, SystemLogsView, SystemLogFilesView, HealthCheckView, GlobalBlacklistView, VersionView, CheckUpdateView, ) urlpatterns = [ # 健康检查（无需认证） path('health/', HealthCheckView.as_view(), name='health-check'), # 认证相关 path('auth/login/', LoginView.as_view(), name='auth-login'), path('auth/logout/', LogoutView.as_view(), name='auth-logout'), path('auth/me/', MeView.as_view(), name='auth-me'), path('auth/change-password/', ChangePasswordView.as_view(), name='auth-change-password'), # 系统管理 path('system/logs/', SystemLogsView.as_view(), name='system-logs'), path('system/logs/files/', SystemLogFilesView.as_view(), name='system-log-files'), path('system/version/', VersionView.as_view(), name='system-version'), path('system/check-update/', CheckUpdateView.as_view(), name='system-check-update'), # 黑名单管理（PUT 全量替换模式） path('blacklist/rules/', GlobalBlacklistView.as_view(), name='blacklist-rules'), ] ================================================ FILE: backend/apps/common/utils/__init__.py ================================================ """Common utilities""" from .dedup import deduplicate_for_bulk, get_unique_fields from .hash import ( calc_file_sha256, calc_stream_sha256, safe_calc_file_sha256, is_file_hash_match, ) from .csv_utils import ( generate_csv_rows, format_list_field, format_datetime, create_csv_export_response, UTF8_BOM, ) from .blacklist_filter import ( BlacklistFilter, detect_rule_type, extract_host, ) __all__ = [ 'deduplicate_for_bulk', 'get_unique_fields', 'calc_file_sha256', 'calc_stream_sha256', 'safe_calc_file_sha256', 'is_file_hash_match', 'generate_csv_rows', 'format_list_field', 'format_datetime', 'create_csv_export_response', 'UTF8_BOM', 'BlacklistFilter', 'detect_rule_type', 'extract_host', ] ================================================ FILE: backend/apps/common/utils/blacklist_filter.py ================================================ """ 黑名单过滤工具 提供域名、IP、CIDR、关键词的黑名单匹配功能。 纯工具类，不涉及数据库操作。 支持的规则类型： 1. 域名精确匹配: example.com - 规则: example.com - 匹配: example.com - 不匹配: sub.example.com, other.com 2. 域名后缀匹配: *.example.com - 规则: *.example.com - 匹配: sub.example.com, a.b.example.com, example.com - 不匹配: other.com, example.com.cn 3. 关键词匹配: *cdn* - 规则: *cdn* - 匹配: cdn.example.com, a.cdn.b.com, mycdn123.com - 不匹配: example.com (不包含 cdn) 4. IP 精确匹配: 192.168.1.1 - 规则: 192.168.1.1 - 匹配: 192.168.1.1 - 不匹配: 192.168.1.2 5. CIDR 范围匹配: 192.168.0.0/24 - 规则: 192.168.0.0/24 - 匹配: 192.168.0.1, 192.168.0.255 - 不匹配: 192.168.1.1 使用方式： from apps.common.utils import BlacklistFilter # 创建过滤器（传入规则列表） rules = BlacklistRule.objects.filter(...) filter = BlacklistFilter(rules) # 检查单个目标 if filter.is_allowed('http://example.com'): process(url) # 流式处理 for url in urls: if filter.is_allowed(url): process(url) """ import ipaddress import logging from typing import List, Optional from urllib.parse import urlparse from apps.common.validators import is_valid_ip, validate_cidr logger = logging.getLogger(__name__) def detect_rule_type(pattern: str) -> str: """ 自动识别规则类型 支持的模式： - 域名精确匹配: example.com - 域名后缀匹配: *.example.com - 关键词匹配: *cdn* (匹配包含 cdn 的域名) - IP 精确匹配: 192.168.1.1 - CIDR 范围: 192.168.0.0/24 Args: pattern: 规则模式字符串 Returns: str: 规则类型 ('domain', 'ip', 'cidr', 'keyword') """ if not pattern: return 'domain' pattern = pattern.strip() # 检查关键词模式: *keyword* (前后都有星号，中间无点) if pattern.startswith('*') and pattern.endswith('*') and len(pattern) > 2: keyword = pattern[1:-1] # 关键词中不能有点（否则可能是域名模式） if '.' not in keyword: return 'keyword' # 检查 CIDR（包含 /） if '/' in pattern: try: validate_cidr(pattern) return 'cidr' except ValueError: pass # 检查 IP（去掉通配符前缀后验证） clean_pattern = pattern.lstrip('*').lstrip('.') if is_valid_ip(clean_pattern): return 'ip' # 默认为域名 return 'domain' def extract_host(target: str) -> str: """ 从目标字符串中提取主机名 支持： - 纯域名：example.com - 纯 IP：192.168.1.1 - URL：http://example.com/path Args: target: 目标字符串 Returns: str: 提取的主机名 """ if not target: return '' target = target.strip() # 如果是 URL，提取 hostname if '://' in target: try: parsed = urlparse(target) return parsed.hostname or target except Exception: return target return target class BlacklistFilter: """ 黑名单过滤器 预编译规则，提供高效的匹配功能。 """ def __init__(self, rules: List): """ 初始化过滤器 Args: rules: BlacklistRule 对象列表 """ from apps.common.models import BlacklistRule # 预解析：按类型分类 + CIDR 预编译 self._domain_rules = [] # (pattern, is_wildcard, suffix) self._ip_rules = set() # 精确 IP 用 set，O(1) 查找 self._cidr_rules = [] # (pattern, network_obj) self._keyword_rules = [] # 关键词列表（小写） # 去重：跨 scope 可能有重复规则 seen_patterns = set() for rule in rules: if rule.pattern in seen_patterns: continue seen_patterns.add(rule.pattern) if rule.rule_type == BlacklistRule.RuleType.DOMAIN: pattern = rule.pattern.lower() if pattern.startswith('*.'): self._domain_rules.append((pattern, True, pattern[1:])) else: self._domain_rules.append((pattern, False, None)) elif rule.rule_type == BlacklistRule.RuleType.IP: self._ip_rules.add(rule.pattern) elif rule.rule_type == BlacklistRule.RuleType.CIDR: try: network = ipaddress.ip_network(rule.pattern, strict=False) self._cidr_rules.append((rule.pattern, network)) except ValueError: pass elif rule.rule_type == BlacklistRule.RuleType.KEYWORD: # *cdn* -> cdn keyword = rule.pattern[1:-1].lower() self._keyword_rules.append(keyword) def is_allowed(self, target: str) -> bool: """ 检查目标是否通过过滤 Args: target: 要检查的目标（域名/IP/URL） Returns: bool: True 表示通过（不在黑名单），False 表示被过滤 """ if not target: return True host = extract_host(target) if not host: return True # 先判断输入类型，再走对应分支 if is_valid_ip(host): return self._check_ip_rules(host) else: return self._check_domain_rules(host) def _check_domain_rules(self, host: str) -> bool: """检查域名规则（精确匹配 + 后缀匹配 + 关键词匹配）""" host_lower = host.lower() # 1. 域名规则（精确 + 后缀） for pattern, is_wildcard, suffix in self._domain_rules: if is_wildcard: if host_lower.endswith(suffix) or host_lower == pattern[2:]: return False else: if host_lower == pattern: return False # 2. 关键词匹配（字符串 in 操作，O(n*m)） for keyword in self._keyword_rules: if keyword in host_lower: return False return True def _check_ip_rules(self, host: str) -> bool: """检查 IP 规则（精确匹配 + CIDR）""" # 1. IP 精确匹配（O(1)） if host in self._ip_rules: return False # 2. CIDR 匹配 if self._cidr_rules: try: ip_obj = ipaddress.ip_address(host) for _, network in self._cidr_rules: if ip_obj in network: return False except ValueError: pass return True ================================================ FILE: backend/apps/common/utils/csv_utils.py ================================================ """CSV 导出工具模块 提供流式 CSV 生成功能，支持： - UTF-8 BOM（Excel 兼容） - RFC 4180 规范转义 - 流式生成（内存友好） - 带 Content-Length 的文件响应（支持浏览器下载进度显示） """ import csv import io import os import tempfile import logging from datetime import datetime from typing import Iterator, Dict, Any, List, Callable, Optional from django.http import FileResponse, StreamingHttpResponse logger = logging.getLogger(__name__) # UTF-8 BOM，确保 Excel 正确识别编码 UTF8_BOM = '\ufeff' def generate_csv_rows( data_iterator: Iterator[Dict[str, Any]], headers: List[str], field_formatters: Optional[Dict[str, Callable]] = None ) -> Iterator[str]: """ 流式生成 CSV 行 Args: data_iterator: 数据迭代器，每个元素是一个字典 headers: CSV 表头列表 field_formatters: 字段格式化函数字典，key 为字段名，value 为格式化函数 Yields: CSV 行字符串（包含换行符） Example: >>> data = [{'ip': '192.168.1.1', 'hosts': ['a.com', 'b.com']}] >>> headers = ['ip', 'hosts'] >>> formatters = {'hosts': format_list_field} >>> for row in generate_csv_rows(iter(data), headers, formatters): ... print(row, end='') """ # 输出 BOM + 表头 output = io.StringIO() writer = csv.writer(output, quoting=csv.QUOTE_MINIMAL) writer.writerow(headers) yield UTF8_BOM + output.getvalue() # 输出数据行 for row_data in data_iterator: output = io.StringIO() writer = csv.writer(output, quoting=csv.QUOTE_MINIMAL) row = [] for header in headers: value = row_data.get(header, '') if field_formatters and header in field_formatters: value = field_formatters[header](value) row.append(value if value is not None else '') writer.writerow(row) yield output.getvalue() def format_list_field(values: List, separator: str = ';') -> str: """ 将列表字段格式化为分号分隔的字符串 Args: values: 值列表 separator: 分隔符，默认为分号 Returns: 分隔符连接的字符串 Example: >>> format_list_field(['a.com', 'b.com']) 'a.com;b.com' >>> format_list_field([80, 443]) '80;443' >>> format_list_field([]) '' >>> format_list_field(None) '' """ if not values: return '' return separator.join(str(v) for v in values) def format_datetime(dt: Optional[datetime]) -> str: """ 格式化日期时间为字符串（转换为本地时区） Args: dt: datetime 对象或 None Returns: 格式化的日期时间字符串，格式为 YYYY-MM-DD HH:MM:SS（本地时区） Example: >>> from datetime import datetime >>> format_datetime(datetime(2024, 1, 15, 10, 30, 0)) '2024-01-15 10:30:00' >>> format_datetime(None) '' """ if dt is None: return '' if isinstance(dt, str): return dt # 转换为本地时区（从 Django settings 获取） from django.utils import timezone if timezone.is_aware(dt): dt = timezone.localtime(dt) return dt.strftime('%Y-%m-%d %H:%M:%S') def create_csv_export_response( data_iterator: Iterator[Dict[str, Any]], headers: List[str], filename: str, field_formatters: Optional[Dict[str, Callable]] = None, show_progress: bool = True ) -> FileResponse | StreamingHttpResponse: """ 创建 CSV 导出响应 根据 show_progress 参数选择响应类型： - True: 使用临时文件 + FileResponse，带 Content-Length（浏览器显示下载进度） - False: 使用 StreamingHttpResponse（内存更友好，但无下载进度） Args: data_iterator: 数据迭代器，每个元素是一个字典 headers: CSV 表头列表 filename: 下载文件名（如 "export_2024.csv"） field_formatters: 字段格式化函数字典 show_progress: 是否显示下载进度（默认 True） Returns: FileResponse 或 StreamingHttpResponse Example: >>> data_iter = service.iter_data() >>> headers = ['url', 'host', 'created_at'] >>> formatters = {'created_at': format_datetime} >>> response = create_csv_export_response( ... data_iter, headers, 'websites.csv', formatters ... ) >>> return response """ if show_progress: return _create_file_response(data_iterator, headers, filename, field_formatters) else: return _create_streaming_response(data_iterator, headers, filename, field_formatters) def _create_file_response( data_iterator: Iterator[Dict[str, Any]], headers: List[str], filename: str, field_formatters: Optional[Dict[str, Callable]] = None ) -> FileResponse: """ 创建带 Content-Length 的文件响应（支持浏览器下载进度） 实现方式：先写入临时文件，再返回 FileResponse """ # 创建临时文件 temp_file = tempfile.NamedTemporaryFile( mode='w', suffix='.csv', delete=False, encoding='utf-8' ) temp_path = temp_file.name try: # 流式写入 CSV 数据到临时文件 for row in generate_csv_rows(data_iterator, headers, field_formatters): temp_file.write(row) temp_file.close() # 获取文件大小 file_size = os.path.getsize(temp_path) # 创建文件响应 response = FileResponse( open(temp_path, 'rb'), content_type='text/csv; charset=utf-8', as_attachment=True, filename=filename ) response['Content-Length'] = file_size # 设置清理回调：响应完成后删除临时文件 original_close = response.file_to_stream.close def close_and_cleanup(): original_close() try: os.unlink(temp_path) except OSError: pass response.file_to_stream.close = close_and_cleanup return response except Exception as e: # 清理临时文件 try: temp_file.close() except: pass try: os.unlink(temp_path) except OSError: pass logger.error(f"创建 CSV 导出响应失败: {e}") raise def _create_streaming_response( data_iterator: Iterator[Dict[str, Any]], headers: List[str], filename: str, field_formatters: Optional[Dict[str, Callable]] = None ) -> StreamingHttpResponse: """ 创建流式响应（无 Content-Length，内存更友好） """ response = StreamingHttpResponse( generate_csv_rows(data_iterator, headers, field_formatters), content_type='text/csv; charset=utf-8' ) response['Content-Disposition'] = f'attachment; filename="{filename}"' return response ================================================ FILE: backend/apps/common/utils/dedup.py ================================================ """ 批量数据去重工具 用于 bulk_create 前的批次内去重，避免 PostgreSQL ON CONFLICT 错误。 自动从 Django 模型读取唯一约束字段，无需手动指定。 """ import logging from typing import List, TypeVar, Tuple, Optional from django.db import models logger = logging.getLogger(__name__) T = TypeVar('T') def get_unique_fields(model: type[models.Model]) -> Optional[Tuple[str, ...]]: """ 从 Django 模型获取唯一约束字段 按优先级查找： 1. Meta.constraints 中的 UniqueConstraint 2. Meta.unique_together Args: model: Django 模型类 Returns: 唯一约束字段元组，如果没有则返回 None """ meta = model._meta # 1. 优先查找 UniqueConstraint for constraint in getattr(meta, 'constraints', []): if isinstance(constraint, models.UniqueConstraint): # 跳过条件约束（partial unique） if getattr(constraint, 'condition', None) is None: return tuple(constraint.fields) # 2. 回退到 unique_together unique_together = getattr(meta, 'unique_together', None) if unique_together: # unique_together 可能是 (('a', 'b'),) 或 ('a', 'b') if unique_together and isinstance(unique_together[0], (list, tuple)): return tuple(unique_together[0]) return tuple(unique_together) return None def deduplicate_for_bulk(items: List[T], model: type[models.Model]) -> List[T]: """ 根据模型唯一约束对数据去重 自动从模型读取唯一约束字段，生成去重 key。 保留最后一条记录（后面的数据通常是更新的）。 Args: items: 待去重的数据列表（DTO 或 Model 对象） model: Django 模型类（用于读取唯一约束） Returns: 去重后的数据列表 Example: # 自动从 Endpoint 模型读取唯一约束 (url, target) unique_items = deduplicate_for_bulk(items, Endpoint) """ if not items: return items unique_fields = get_unique_fields(model) if unique_fields is None: # 模型没有唯一约束，无需去重 logger.debug(f"{model.__name__} 没有唯一约束，跳过去重") return items # 处理外键字段名（target -> target_id） def make_key(item: T) -> tuple: key_parts = [] for field in unique_fields: # 尝试 field_id（外键）和 field 两种形式 value = getattr(item, f'{field}_id', None) if value is None: value = getattr(item, field, None) key_parts.append(value) return tuple(key_parts) # 使用字典去重，保留最后一条 seen = {} for item in items: key = make_key(item) seen[key] = item unique_items = list(seen.values()) if len(unique_items) < len(items): logger.debug(f"{model.__name__} 去重: {len(items)} -> {len(unique_items)} 条") return unique_items ================================================ FILE: backend/apps/common/utils/filter_utils.py ================================================ """智能过滤工具 - 通用查询语法解析和 Django ORM 查询构建 支持的语法： - field="value" 模糊匹配（包含） - field=="value" 精确匹配 - field!="value" 不等于 逻辑运算符： - AND: && 或 and 或 空格（默认） - OR: || 或 or 示例： type="xss" || type="sqli" # OR type="xss" or type="sqli" # OR（等价） severity="high" && source="nuclei" # AND severity="high" source="nuclei" # AND（空格默认为 AND） severity="high" and source="nuclei" # AND（等价） 使用示例： from apps.common.utils.filter_utils import apply_filters field_mapping = {'ip': 'ip', 'port': 'port', 'host': 'host'} queryset = apply_filters(queryset, 'ip="192" || port="80"', field_mapping) """ import re import logging from dataclasses import dataclass from typing import List, Dict, Optional, Union from enum import Enum from django.db.models import QuerySet, Q, F, Func, CharField from django.db.models.functions import Cast logger = logging.getLogger(__name__) class ArrayToString(Func): """PostgreSQL array_to_string 函数""" function = 'array_to_string' template = "%(function)s(%(expressions)s, ',')" output_field = CharField() class LogicalOp(Enum): """逻辑运算符""" AND = 'AND' OR = 'OR' @dataclass class ParsedFilter: """解析后的过滤条件""" field: str # 字段名 operator: str # 操作符: '=', '==', '!=' value: str # 原始值 @dataclass class FilterGroup: """过滤条件组（带逻辑运算符）""" filter: ParsedFilter logical_op: LogicalOp # 与前一个条件的逻辑关系 class QueryParser: """查询语法解析器 支持 ||/or (OR) 和 &&/and/空格 (AND) 逻辑运算符 """ # 正则匹配: field="value", field=="value", field!="value" FILTER_PATTERN = re.compile(r'(\w+)(==|!=|=)"([^"]*)"') # 逻辑运算符模式（带空格） OR_PATTERN = re.compile(r'\s*(\|\||(?<![a-zA-Z])or(?![a-zA-Z]))\s*', re.IGNORECASE) AND_PATTERN = re.compile(r'\s*(&&|(?<![a-zA-Z])and(?![a-zA-Z]))\s*', re.IGNORECASE) @classmethod def parse(cls, query_string: str) -> List[FilterGroup]: """解析查询语法字符串 Args: query_string: 查询语法字符串 Returns: 解析后的过滤条件组列表 Examples: >>> QueryParser.parse('type="xss" || type="sqli"') [FilterGroup(filter=..., logical_op=AND), # 第一个默认 AND FilterGroup(filter=..., logical_op=OR)] """ if not query_string or not query_string.strip(): return [] # 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 filters_found = [] placeholder_pattern = '__FILTER_{}__' def replace_filter(match): idx = len(filters_found) filters_found.append(match.group(0)) return placeholder_pattern.format(idx) # 先用正则提取所有 field="value" 形式的条件 protected = cls.FILTER_PATTERN.sub(replace_filter, query_string) # 标准化逻辑运算符 # 先处理 || 和 or -> __OR__ normalized = cls.OR_PATTERN.sub(' __OR__ ', protected) # 再处理 && 和 and -> __AND__ normalized = cls.AND_PATTERN.sub(' __AND__ ', normalized) # 分词：按空格分割，保留逻辑运算符标记 tokens = normalized.split() groups = [] pending_op = LogicalOp.AND # 默认 AND for token in tokens: if token == '__OR__': pending_op = LogicalOp.OR elif token == '__AND__': pending_op = LogicalOp.AND elif token.startswith('__FILTER_') and token.endswith('__'): # 还原占位符为原始过滤条件 try: idx = int(token[9:-2]) # 提取索引 original_filter = filters_found[idx] match = cls.FILTER_PATTERN.match(original_filter) if match: field, operator, value = match.groups() groups.append(FilterGroup( filter=ParsedFilter( field=field.lower(), operator=operator, value=value ), logical_op=pending_op if groups else LogicalOp.AND )) pending_op = LogicalOp.AND # 重置为默认 AND except (ValueError, IndexError): pass # 其他 token 忽略（无效输入） return groups class QueryBuilder: """Django ORM 查询构建器 将解析后的过滤条件转换为 Django ORM 查询，支持 AND/OR 逻辑 """ @classmethod def build_query( cls, queryset: QuerySet, filter_groups: List[FilterGroup], field_mapping: Dict[str, str], json_array_fields: List[str] = None ) -> QuerySet: """构建 Django ORM 查询 Args: queryset: Django QuerySet filter_groups: 解析后的过滤条件组列表 field_mapping: 字段映射 json_array_fields: JSON 数组字段列表（使用 __contains 查询） Returns: 过滤后的 QuerySet """ if not filter_groups: return queryset json_array_fields = json_array_fields or [] # 收集需要 annotate 的数组模糊搜索字段 array_fuzzy_fields = set() # 第一遍：检查是否有数组模糊匹配 for group in filter_groups: f = group.filter db_field = field_mapping.get(f.field) if db_field and db_field in json_array_fields and f.operator == '=': array_fuzzy_fields.add(db_field) # 对数组模糊搜索字段做 annotate for field in array_fuzzy_fields: annotate_name = f'{field}_text' queryset = queryset.annotate(**{annotate_name: ArrayToString(F(field))}) # 构建 Q 对象 combined_q = None for group in filter_groups: f = group.filter # 字段映射 db_field = field_mapping.get(f.field) if not db_field: logger.debug(f"忽略未知字段: {f.field}") continue # 判断是否为 JSON 数组字段 is_json_array = db_field in json_array_fields # 构建单个条件的 Q 对象 q = cls._build_single_q(db_field, f.operator, f.value, is_json_array) if q is None: continue # 组合 Q 对象 if combined_q is None: combined_q = q elif group.logical_op == LogicalOp.OR: combined_q = combined_q | q else: # AND combined_q = combined_q & q if combined_q is not None: return queryset.filter(combined_q) return queryset @classmethod def _build_single_q(cls, field: str, operator: str, value: str, is_json_array: bool = False) -> Optional[Q]: """构建单个条件的 Q 对象""" if is_json_array: if operator == '==': # 精确匹配：数组中包含完全等于 value 的元素 return Q(**{f'{field}__contains': [value]}) elif operator == '!=': # 不包含：数组中不包含完全等于 value 的元素 return ~Q(**{f'{field}__contains': [value]}) else: # '=' 模糊匹配 # 使用 annotate 后的字段进行模糊搜索 # 字段已在 build_query 中通过 ArrayToString 转换为文本 annotate_name = f'{field}_text' return Q(**{f'{annotate_name}__icontains': value}) if operator == '!=': return cls._build_not_equal_q(field, value) elif operator == '==': return cls._build_exact_q(field, value) else: # '=' return cls._build_fuzzy_q(field, value) @classmethod def _try_convert_to_int(cls, value: str) -> Optional[int]: """尝试将值转换为整数""" try: return int(value.strip()) except (ValueError, TypeError): return None @classmethod def _build_fuzzy_q(cls, field: str, value: str) -> Q: """模糊匹配: 包含""" return Q(**{f'{field}__icontains': value}) @classmethod def _build_exact_q(cls, field: str, value: str) -> Q: """精确匹配""" int_val = cls._try_convert_to_int(value) if int_val is not None: return Q(**{f'{field}__exact': int_val}) return Q(**{f'{field}__exact': value}) @classmethod def _build_not_equal_q(cls, field: str, value: str) -> Q: """不等于""" int_val = cls._try_convert_to_int(value) if int_val is not None: return ~Q(**{f'{field}__exact': int_val}) return ~Q(**{f'{field}__exact': value}) def apply_filters( queryset: QuerySet, query_string: str, field_mapping: Dict[str, str], json_array_fields: List[str] = None ) -> QuerySet: """应用过滤条件到 QuerySet Args: queryset: Django QuerySet query_string: 查询语法字符串 field_mapping: 字段映射 json_array_fields: JSON 数组字段列表（使用 __contains 查询） Returns: 过滤后的 QuerySet Examples: # OR 查询 apply_filters(qs, 'type="xss" || type="sqli"', mapping) apply_filters(qs, 'type="xss" or type="sqli"', mapping) # AND 查询 apply_filters(qs, 'severity="high" && source="nuclei"', mapping) apply_filters(qs, 'severity="high" source="nuclei"', mapping) # 混合查询 apply_filters(qs, 'type="xss" || type="sqli" && severity="high"', mapping) # JSON 数组字段查询 apply_filters(qs, 'implies="PHP"', mapping, json_array_fields=['implies']) """ if not query_string or not query_string.strip(): return queryset try: filter_groups = QueryParser.parse(query_string) if not filter_groups: logger.debug(f"未解析到有效过滤条件: {query_string}") return queryset logger.debug(f"解析过滤条件: {filter_groups}") return QueryBuilder.build_query( queryset, filter_groups, field_mapping, json_array_fields=json_array_fields ) except Exception as e: logger.warning(f"过滤解析错误: {e}, query: {query_string}") return queryset # 静默降级 ================================================ FILE: backend/apps/common/utils/hash.py ================================================ """通用文件 hash 计算与校验工具 提供 SHA-256 哈希计算和校验功能，用于： - 字典文件上传时计算 hash - Worker 侧本地缓存校验 """ import hashlib import logging from typing import Optional, BinaryIO logger = logging.getLogger(__name__) # 默认分块大小：64KB（兼顾内存和性能） DEFAULT_CHUNK_SIZE = 65536 def calc_file_sha256(file_path: str, chunk_size: int = DEFAULT_CHUNK_SIZE) -> str: """计算文件的 SHA-256 哈希值 Args: file_path: 文件绝对路径 chunk_size: 分块读取大小（字节），默认 64KB Returns: str: SHA-256 十六进制字符串（64 字符） Raises: FileNotFoundError: 文件不存在 OSError: 文件读取失败 """ hasher = hashlib.sha256() with open(file_path, "rb") as f: for chunk in iter(lambda: f.read(chunk_size), b""): hasher.update(chunk) return hasher.hexdigest() def calc_stream_sha256(stream: BinaryIO, chunk_size: int = DEFAULT_CHUNK_SIZE) -> str: """从二进制流计算 SHA-256（用于边写边算） Args: stream: 可读取的二进制流（如 UploadedFile.chunks()） chunk_size: 分块大小 Returns: str: SHA-256 十六进制字符串 """ hasher = hashlib.sha256() for chunk in iter(lambda: stream.read(chunk_size), b""): hasher.update(chunk) return hasher.hexdigest() def safe_calc_file_sha256(file_path: str) -> Optional[str]: """安全计算文件 SHA-256（异常时返回 None） Args: file_path: 文件绝对路径 Returns: str | None: SHA-256 十六进制字符串，或 None（文件不存在/读取失败） """ try: return calc_file_sha256(file_path) except FileNotFoundError: logger.warning("计算 hash 失败：文件不存在 - %s", file_path) return None except OSError as exc: logger.warning("计算 hash 失败：读取错误 - %s: %s", file_path, exc) return None def is_file_hash_match(file_path: str, expected_hash: str) -> bool: """校验文件 hash 是否与期望值匹配 Args: file_path: 文件绝对路径 expected_hash: 期望的 SHA-256 十六进制字符串 Returns: bool: True 表示匹配，False 表示不匹配或计算失败 """ if not expected_hash: # 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 return False actual_hash = safe_calc_file_sha256(file_path) if actual_hash is None: return False return actual_hash.lower() == expected_hash.lower() ================================================ FILE: backend/apps/common/validators.py ================================================ """域名、IP、端口、URL 和目标验证工具函数""" import ipaddress import logging from urllib.parse import urlparse import validators logger = logging.getLogger(__name__) def validate_domain(domain: str) -> None: """ 验证域名格式（使用 validators 库） Args: domain: 域名字符串（应该已经规范化） Raises: ValueError: 域名格式无效 """ if not domain: raise ValueError("域名不能为空") # 使用 validators 库验证域名格式 # 支持国际化域名（IDN）和各种边界情况 if not validators.domain(domain): raise ValueError(f"域名格式无效: {domain}") def is_valid_domain(domain: str) -> bool: """ 判断是否为有效域名（不抛异常） Args: domain: 域名字符串 Returns: bool: 是否为有效域名 """ if not domain or len(domain) > 253: return False return bool(validators.domain(domain)) def validate_ip(ip: str) -> None: """ 验证 IP 地址格式（支持 IPv4 和 IPv6） Args: ip: IP 地址字符串（应该已经规范化） Raises: ValueError: IP 地址格式无效 """ if not ip: raise ValueError("IP 地址不能为空") try: ipaddress.ip_address(ip) except ValueError: raise ValueError(f"IP 地址格式无效: {ip}") def is_valid_ip(ip: str) -> bool: """ 判断是否为有效 IP 地址（不抛异常） Args: ip: IP 地址字符串 Returns: bool: 是否为有效 IP 地址 """ if not ip: return False try: ipaddress.ip_address(ip) return True except ValueError: return False def validate_cidr(cidr: str) -> None: """ 验证 CIDR 格式（支持 IPv4 和 IPv6） Args: cidr: CIDR 字符串（应该已经规范化） Raises: ValueError: CIDR 格式无效 """ if not cidr: raise ValueError("CIDR 不能为空") try: ipaddress.ip_network(cidr, strict=False) except ValueError: raise ValueError(f"CIDR 格式无效: {cidr}") def detect_target_type(name: str) -> str: """ 检测目标类型（不做规范化，只验证） Args: name: 目标名称（应该已经规范化） Returns: str: 目标类型 ('domain', 'ip', 'cidr') - 使用 Target.TargetType 枚举值 Raises: ValueError: 如果无法识别目标类型 """ # 在函数内部导入模型，避免 AppRegistryNotReady 错误 from apps.targets.models import Target if not name: raise ValueError("目标名称不能为空") # 检查是否是 CIDR 格式（包含 /） if '/' in name: validate_cidr(name) return Target.TargetType.CIDR # 检查是否是 IP 地址 try: validate_ip(name) return Target.TargetType.IP except ValueError: pass # 检查是否是合法域名 try: validate_domain(name) return Target.TargetType.DOMAIN except ValueError: pass # 无法识别的格式 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") def validate_port(port: any) -> tuple[bool, int | None]: """ 验证并转换端口号 Args: port: 待验证的端口号（可能是字符串、整数或其他类型） Returns: tuple: (is_valid, port_number) - is_valid: 端口是否有效 - port_number: 有效时为整数端口号，无效时为 None 验证规则： 1. 必须能转换为整数 2. 必须在 1-65535 范围内 示例： >>> is_valid, port_num = validate_port(8080) >>> is_valid, port_num (True, 8080) >>> is_valid, port_num = validate_port("invalid") >>> is_valid, port_num (False, None) """ try: port_num = int(port) if 1 <= port_num <= 65535: return True, port_num else: logger.warning("端口号超出有效范围 (1-65535): %d", port_num) return False, None except (ValueError, TypeError): logger.warning("端口号格式错误，无法转换为整数: %s", port) return False, None # ==================== URL 验证函数 ==================== def validate_url(url: str) -> None: """ 验证 URL 格式，必须包含 scheme（http:// 或 https://） Args: url: URL 字符串 Raises: ValueError: URL 格式无效或缺少 scheme """ if not url: raise ValueError("URL 不能为空") # 检查是否包含 scheme if not url.startswith('http://') and not url.startswith('https://'): raise ValueError("URL 必须包含协议（http:// 或 https://）") try: parsed = urlparse(url) if not parsed.hostname: raise ValueError("URL 必须包含主机名") except Exception: raise ValueError(f"URL 格式无效: {url}") def is_valid_url(url: str, max_length: int = 2000) -> bool: """ 判断是否为有效 URL（不抛异常） Args: url: URL 字符串 max_length: URL 最大长度，默认 2000 Returns: bool: 是否为有效 URL """ if not url or len(url) > max_length: return False try: validate_url(url) return True except ValueError: return False def is_url_match_target(url: str, target_name: str, target_type: str) -> bool: """ 判断 URL 是否匹配目标 Args: url: URL 字符串 target_name: 目标名称（域名、IP 或 CIDR） target_type: 目标类型 ('domain', 'ip', 'cidr') Returns: bool: 是否匹配 """ try: parsed = urlparse(url) hostname = parsed.hostname if not hostname: return False hostname = hostname.lower() target_name = target_name.lower() if target_type == 'domain': # 域名类型：hostname 等于 target_name 或以 .target_name 结尾 return hostname == target_name or hostname.endswith('.' + target_name) elif target_type == 'ip': # IP 类型：hostname 必须完全等于 target_name return hostname == target_name elif target_type == 'cidr': # CIDR 类型：hostname 必须是 IP 且在 CIDR 范围内 try: ip = ipaddress.ip_address(hostname) network = ipaddress.ip_network(target_name, strict=False) return ip in network except ValueError: # hostname 不是有效 IP return False return False except Exception: return False def detect_input_type(input_str: str) -> str: """ 检测输入类型（用于快速扫描输入解析） Args: input_str: 输入字符串（应该已经 strip） Returns: str: 输入类型 ('url', 'domain', 'ip', 'cidr') """ if not input_str: raise ValueError("输入不能为空") # 1. 包含 :// 一定是 URL if '://' in input_str: return 'url' # 2. 包含 / 需要判断是 CIDR 还是 URL（缺少 scheme） if '/' in input_str: # CIDR 格式: IP/prefix，如 10.0.0.0/8 parts = input_str.split('/') if len(parts) == 2: ip_part, prefix_part = parts # 如果斜杠后是纯数字且在 0-32 范围内，检查是否是 CIDR if prefix_part.isdigit() and 0 <= int(prefix_part) <= 32: ip_parts = ip_part.split('.') if len(ip_parts) == 4 and all(p.isdigit() for p in ip_parts): return 'cidr' # 不是 CIDR，视为 URL（缺少 scheme，后续验证会报错） return 'url' # 3. 检查是否是 IP 地址 try: ipaddress.ip_address(input_str) return 'ip' except ValueError: pass # 4. 默认为域名 return 'domain' ================================================ FILE: backend/apps/common/views/__init__.py ================================================ """ 通用模块视图导出 包含： - 健康检查视图：Docker 健康检查 - 认证相关视图：登录、登出、用户信息、修改密码 - 系统日志视图：实时日志查看 - 黑名单视图：全局黑名单规则管理 - 版本视图：系统版本和更新检查 """ from .health_views import HealthCheckView from .auth_views import LoginView, LogoutView, MeView, ChangePasswordView from .system_log_views import SystemLogsView, SystemLogFilesView from .blacklist_views import GlobalBlacklistView from .version_views import VersionView, CheckUpdateView __all__ = [ 'HealthCheckView', 'LoginView', 'LogoutView', 'MeView', 'ChangePasswordView', 'SystemLogsView', 'SystemLogFilesView', 'GlobalBlacklistView', 'VersionView', 'CheckUpdateView', ] ================================================ FILE: backend/apps/common/views/auth_views.py ================================================ """ 认证相关视图 使用 Django 内置认证系统，支持 Session 认证 """ import logging from django.contrib.auth import authenticate, login, logout, update_session_auth_hash from django.views.decorators.csrf import csrf_exempt from django.utils.decorators import method_decorator from rest_framework import status from rest_framework.views import APIView from rest_framework.response import Response from rest_framework.permissions import AllowAny from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes logger = logging.getLogger(__name__) @method_decorator(csrf_exempt, name='dispatch') class LoginView(APIView): """ 用户登录 POST /api/auth/login/ """ authentication_classes = [] # 禁用认证（绕过 CSRF） permission_classes = [AllowAny] def post(self, request): username = request.data.get('username') password = request.data.get('password') if not username or not password: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Username and password are required', status_code=status.HTTP_400_BAD_REQUEST ) user = authenticate(request, username=username, password=password) if user is not None: login(request, user) logger.info(f"用户 {username} 登录成功") return success_response( data={ 'user': { 'id': user.id, 'username': user.username, 'isStaff': user.is_staff, 'isSuperuser': user.is_superuser, } } ) else: logger.warning(f"用户 {username} 登录失败：用户名或密码错误") return error_response( code=ErrorCodes.UNAUTHORIZED, message='Invalid username or password', status_code=status.HTTP_401_UNAUTHORIZED ) @method_decorator(csrf_exempt, name='dispatch') class LogoutView(APIView): """ 用户登出 POST /api/auth/logout/ """ authentication_classes = [] # 禁用认证（绕过 CSRF） permission_classes = [AllowAny] def post(self, request): # 从 session 获取用户名用于日志 user_id = request.session.get('_auth_user_id') if user_id: from django.contrib.auth import get_user_model User = get_user_model() try: user = User.objects.get(pk=user_id) username = user.username logout(request) logger.info(f"用户 {username} 已登出") except User.DoesNotExist: logout(request) else: logout(request) return success_response() @method_decorator(csrf_exempt, name='dispatch') class MeView(APIView): """ 获取当前用户信息 GET /api/auth/me/ """ authentication_classes = [] # 禁用认证（绕过 CSRF） permission_classes = [AllowAny] def get(self, request): # 从 session 获取用户 from django.contrib.auth import get_user_model User = get_user_model() user_id = request.session.get('_auth_user_id') if user_id: try: user = User.objects.get(pk=user_id) return success_response( data={ 'authenticated': True, 'user': { 'id': user.id, 'username': user.username, 'isStaff': user.is_staff, 'isSuperuser': user.is_superuser, } } ) except User.DoesNotExist: pass return success_response( data={ 'authenticated': False, 'user': None } ) @method_decorator(csrf_exempt, name='dispatch') class ChangePasswordView(APIView): """ 修改密码 POST /api/auth/change-password/ """ def post(self, request): # 使用全局权限类验证，request.user 已经是认证用户 user = request.user # CamelCaseParser 将 oldPassword -> old_password old_password = request.data.get('old_password') new_password = request.data.get('new_password') if not old_password or not new_password: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Old password and new password are required', status_code=status.HTTP_400_BAD_REQUEST ) if not user.check_password(old_password): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Old password is incorrect', status_code=status.HTTP_400_BAD_REQUEST ) user.set_password(new_password) user.save() # 更新 session，避免用户被登出 update_session_auth_hash(request, user) logger.info(f"用户 {user.username} 已修改密码") return success_response() ================================================ FILE: backend/apps/common/views/blacklist_views.py ================================================ """全局黑名单 API 视图""" import logging from rest_framework import status from rest_framework.views import APIView from rest_framework.permissions import IsAuthenticated from apps.common.response_helpers import success_response, error_response from apps.common.services import BlacklistService logger = logging.getLogger(__name__) class GlobalBlacklistView(APIView): """ 全局黑名单规则 API Endpoints: - GET /api/blacklist/rules/ - 获取全局黑名单列表 - PUT /api/blacklist/rules/ - 全量替换规则（文本框保存场景） 设计说明： - 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 - 用户编辑文本框 -> 点击保存 -> 后端全量替换 架构：MVS 模式 - View: 参数验证、响应格式化 - Service: 业务逻辑（BlacklistService） - Model: 数据持久化（BlacklistRule） """ permission_classes = [IsAuthenticated] def __init__(self, **kwargs): super().__init__(**kwargs) self.blacklist_service = BlacklistService() def get(self, request): """ 获取全局黑名单规则列表 返回格式： { "patterns": ["*.gov", "*.edu", "10.0.0.0/8"] } """ rules = self.blacklist_service.get_global_rules() patterns = list(rules.values_list('pattern', flat=True)) return success_response(data={'patterns': patterns}) def put(self, request): """ 全量替换全局黑名单规则 请求格式： { "patterns": ["*.gov", "*.edu", "10.0.0.0/8"] } 或者空数组清空所有规则： { "patterns": [] } """ patterns = request.data.get('patterns', []) # 兼容字符串输入（换行分隔） if isinstance(patterns, str): patterns = [p for p in patterns.split('\n') if p.strip()] if not isinstance(patterns, list): return error_response( code='VALIDATION_ERROR', message='patterns 必须是数组' ) # 调用 Service 层全量替换 result = self.blacklist_service.replace_global_rules(patterns) return success_response(data=result) ================================================ FILE: backend/apps/common/views/health_views.py ================================================ """ 健康检查视图 提供 Docker 健康检查端点，无需认证。 """ from rest_framework.views import APIView from rest_framework.response import Response from rest_framework.permissions import AllowAny class HealthCheckView(APIView): """ 健康检查端点 GET /api/health/ 返回服务状态，用于 Docker 健康检查。 此端点无需认证。 """ permission_classes = [AllowAny] def get(self, request): return Response({'status': 'ok'}) ================================================ FILE: backend/apps/common/views/system_log_views.py ================================================ """ 系统日志视图模块 提供系统日志的 REST API 接口，供前端实时查看系统运行日志。 """ import logging from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt from rest_framework import status from rest_framework.response import Response from rest_framework.views import APIView from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from apps.common.services.system_log_service import SystemLogService logger = logging.getLogger(__name__) @method_decorator(csrf_exempt, name="dispatch") class SystemLogFilesView(APIView): """ 日志文件列表 API 视图 GET /api/system/logs/files/ 获取所有可用的日志文件列表 Response: { "files": [ { "filename": "xingrin.log", "category": "system", "size": 1048576, "modifiedAt": "2025-01-15T10:30:00+00:00" }, ... ] } """ def __init__(self, **kwargs): super().__init__(**kwargs) self.service = SystemLogService() def get(self, request): """获取日志文件列表""" try: files = self.service.get_log_files() return success_response(data={"files": files}) except Exception: logger.exception("获取日志文件列表失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to get log files', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) @method_decorator(csrf_exempt, name="dispatch") class SystemLogsView(APIView): """ 系统日志 API 视图 GET /api/system/logs/ 获取系统日志内容 Query Parameters: file (str, optional): 日志文件名，默认 xingrin.log lines (int, optional): 返回的日志行数，默认 200，最大 10000 Response: { "content": "日志内容字符串..." } """ def __init__(self, **kwargs): super().__init__(**kwargs) self.service = SystemLogService() def get(self, request): """ 获取系统日志 支持通过 file 和 lines 参数控制返回内容。 """ try: # 解析参数 filename = request.query_params.get("file") lines_raw = request.query_params.get("lines") lines = int(lines_raw) if lines_raw is not None else None # 调用服务获取日志内容 content = self.service.get_logs_content(filename=filename, lines=lines) return success_response(data={"content": content}) except ValueError as e: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(e) if 'file' in str(e).lower() else 'lines must be an integer', status_code=status.HTTP_400_BAD_REQUEST ) except FileNotFoundError as e: return error_response( code=ErrorCodes.NOT_FOUND, message=str(e), status_code=status.HTTP_404_NOT_FOUND ) except Exception: logger.exception("获取系统日志失败") return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to get system logs', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) ================================================ FILE: backend/apps/common/views/version_views.py ================================================ """ 系统版本相关视图 """ import logging from pathlib import Path import requests from rest_framework.request import Request from rest_framework.response import Response from rest_framework.views import APIView from apps.common.error_codes import ErrorCodes from apps.common.response_helpers import error_response, success_response logger = logging.getLogger(__name__) # GitHub 仓库信息 GITHUB_REPO = "yyhuni/xingrin" GITHUB_API_URL = f"https://api.github.com/repos/{GITHUB_REPO}/releases/latest" GITHUB_RELEASES_URL = f"https://github.com/{GITHUB_REPO}/releases" def get_current_version() -> str: """读取当前版本号""" import os # 方式1：从环境变量读取（Docker 容器中推荐） version = os.environ.get('IMAGE_TAG', '') if version: return version # 方式2：从文件读取（开发环境） possible_paths = [ Path('/app/VERSION'), Path(__file__).parent.parent.parent.parent.parent / 'VERSION', ] for path in possible_paths: try: return path.read_text(encoding='utf-8').strip() except (FileNotFoundError, OSError): continue return "unknown" def compare_versions(current: str, latest: str) -> bool: """ 比较版本号，判断是否有更新 Returns: True 表示有更新可用 """ def parse_version(v: str) -> tuple: v = v.lstrip('v') parts = v.split('.') result = [] for part in parts: if '-' in part: num, _ = part.split('-', 1) result.append(int(num)) else: result.append(int(part)) return tuple(result) try: return parse_version(latest) > parse_version(current) except (ValueError, AttributeError): return False class VersionView(APIView): """获取当前系统版本""" def get(self, _request: Request) -> Response: """获取当前版本信息""" return success_response(data={ 'version': get_current_version(), 'github_repo': GITHUB_REPO, }) class CheckUpdateView(APIView): """检查系统更新""" def get(self, _request: Request) -> Response: """ 检查是否有新版本 Returns: - current_version: 当前版本 - latest_version: 最新版本 - has_update: 是否有更新 - release_url: 发布页面 URL - release_notes: 更新说明（如果有） """ current_version = get_current_version() try: response = requests.get( GITHUB_API_URL, headers={'Accept': 'application/vnd.github.v3+json'}, timeout=10 ) if response.status_code == 404: return success_response(data={ 'current_version': current_version, 'latest_version': current_version, 'has_update': False, 'release_url': GITHUB_RELEASES_URL, 'release_notes': None, }) response.raise_for_status() release_data = response.json() latest_version = release_data.get('tag_name', current_version) has_update = compare_versions(current_version, latest_version) return success_response(data={ 'current_version': current_version, 'latest_version': latest_version, 'has_update': has_update, 'release_url': release_data.get('html_url', GITHUB_RELEASES_URL), 'release_notes': release_data.get('body'), 'published_at': release_data.get('published_at'), }) except requests.RequestException as e: logger.warning("检查更新失败: %s", e) return error_response( code=ErrorCodes.SERVER_ERROR, message="无法连接到 GitHub，请稍后重试", ) ================================================ FILE: backend/apps/common/websocket_auth.py ================================================ """ WebSocket 认证基类 提供需要认证的 WebSocket Consumer 基类 """ import logging from channels.generic.websocket import AsyncWebsocketConsumer logger = logging.getLogger(__name__) class AuthenticatedWebsocketConsumer(AsyncWebsocketConsumer): """ 需要认证的 WebSocket Consumer 基类 子类应该重写 on_connect() 方法实现具体的连接逻辑 """ async def connect(self): """ 连接时验证用户认证状态 未认证时使用 close(code=4001) 拒绝连接 """ user = self.scope.get('user') if not user or not user.is_authenticated: logger.warning( f"WebSocket 连接被拒绝：用户未认证 - Path: {self.scope.get('path')}" ) await self.close(code=4001) return # 调用子类的连接逻辑 await self.on_connect() async def on_connect(self): """ 子类实现具体的连接逻辑 默认实现：接受连接 """ await self.accept() ================================================ FILE: backend/apps/engine/__init__.py ================================================ ================================================ FILE: backend/apps/engine/apps.py ================================================ import os from django.apps import AppConfig class EngineConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'apps.engine' verbose_name = '扫描引擎' def ready(self): """应用就绪时启动定时调度器""" # 只在主进程中启动调度器（避免 autoreload 重复启动） # 检查是否在 runserver 的 autoreload 子进程中 if os.environ.get('RUN_MAIN') == 'true' or not self._is_runserver(): # 只在 Server 容器中启动调度器（Worker 容器不需要） if not os.environ.get('SERVER_URL'): # Worker 容器有 SERVER_URL self._start_scheduler() def _is_runserver(self): """检查是否通过 runserver 启动""" import sys return 'runserver' in sys.argv def _start_scheduler(self): """启动调度器""" try: from apps.engine.scheduler import start_scheduler start_scheduler() except Exception as e: import logging logger = logging.getLogger(__name__) logger.warning(f"调度器启动失败: {e}") ================================================ FILE: backend/apps/engine/consumers/__init__.py ================================================ """ Engine WebSocket Consumers """ from .worker_deploy_consumer import WorkerDeployConsumer __all__ = ['WorkerDeployConsumer'] ================================================ FILE: backend/apps/engine/consumers/worker_deploy_consumer.py ================================================ """ WebSocket Consumer - Worker 交互式终端 (使用 PTY) """ import json import logging import asyncio import os from asgiref.sync import sync_to_async from django.conf import settings from apps.common.websocket_auth import AuthenticatedWebsocketConsumer from apps.engine.services import WorkerService logger = logging.getLogger(__name__) class WorkerDeployConsumer(AuthenticatedWebsocketConsumer): """ Worker 交互式终端 WebSocket Consumer 使用 paramiko invoke_shell 实现真正的交互式终端 """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.ssh_client = None self.shell = None self.worker = None self.read_task = None self.worker_service = WorkerService() async def on_connect(self): """连接时加入对应 Worker 的组并自动建立 SSH 连接（已通过认证）""" self.worker_id = self.scope['url_route']['kwargs']['worker_id'] self.group_name = f'worker_deploy_{self.worker_id}' await self.channel_layer.group_add(self.group_name, self.channel_name) await self.accept() logger.info(f"终端已连接 - Worker: {self.worker_id}") # 自动建立 SSH 连接 await self._auto_ssh_connect() async def disconnect(self, close_code): """断开时清理资源""" if self.read_task: self.read_task.cancel() if self.shell: try: self.shell.close() except Exception: pass if self.ssh_client: try: self.ssh_client.close() except Exception: pass await self.channel_layer.group_discard(self.group_name, self.channel_name) logger.info(f"终端已断开 - Worker: {self.worker_id}") async def receive(self, text_data=None, bytes_data=None): """接收客户端消息""" if bytes_data: # 二进制数据直接发送到 shell if self.shell: await asyncio.to_thread(self.shell.send, bytes_data) return if not text_data: return try: data = json.loads(text_data) msg_type = data.get('type') if msg_type == 'resize': cols = data.get('cols', 80) rows = data.get('rows', 24) if self.shell: await asyncio.to_thread(self.shell.resize_pty, cols, rows) elif msg_type == 'input': # 终端输入 if self.shell: text = data.get('data', '') await asyncio.to_thread(self.shell.send, text) elif msg_type == 'deploy': # 执行部署脚本（后台运行） await self._run_deploy_script() elif msg_type == 'attach': # 查看部署进度（attach 到 tmux 会话） await self._attach_deploy_session() elif msg_type == 'uninstall': # 执行卸载脚本（后台运行） await self._run_uninstall_script() except json.JSONDecodeError: # 可能是普通文本输入 if self.shell and text_data: await asyncio.to_thread(self.shell.send, text_data) except Exception as e: logger.error(f"处理消息错误: {e}") async def _auto_ssh_connect(self): """自动从数据库读取密码并连接""" logger.info(f"[SSH] 开始自动连接 - Worker ID: {self.worker_id}") # 通过服务层获取 Worker 节点 # thread_sensitive=False 确保在新线程中运行，避免数据库连接问题 self.worker = await sync_to_async(self.worker_service.get_worker, thread_sensitive=False)(self.worker_id) logger.info(f"[SSH] Worker 查询结果: {self.worker}") if not self.worker: await self.send(text_data=json.dumps({ 'type': 'error', 'message': 'Worker 不存在' })) return if not self.worker.password: await self.send(text_data=json.dumps({ 'type': 'error', 'message': '未配置 SSH 密码，请先编辑节点信息' })) return # 使用默认终端大小 await self._ssh_connect(self.worker.password, 80, 24) async def _ssh_connect(self, password: str, cols: int = 80, rows: int = 24): """建立 SSH 连接并启动交互式 shell (使用 tmux 持久化会话)""" try: import paramiko except ImportError: await self.send(text_data=json.dumps({ 'type': 'error', 'message': '服务器缺少 paramiko 库' })) return # self.worker 已在 _auto_ssh_connect 中查询 try: ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) await asyncio.to_thread( ssh.connect, self.worker.ip_address, port=self.worker.ssh_port, username=self.worker.username, password=password, timeout=30 ) self.ssh_client = ssh # 启动交互式 shell（连接时不做 tmux 安装，仅提供普通 shell） self.shell = await asyncio.to_thread( ssh.invoke_shell, term='xterm-256color', width=cols, height=rows ) # 发送连接成功消息 logger.info(f"[SSH] 准备发送 connected 消息 - Worker: {self.worker_id}") await self.send(text_data=json.dumps({ 'type': 'connected' })) logger.info(f"[SSH] connected 消息已发送 - Worker: {self.worker_id}") # 启动读取任务 self.read_task = asyncio.create_task(self._read_shell_output()) logger.info(f"[SSH] Shell 已连接，读取任务已启动 - Worker: {self.worker_id}") except paramiko.AuthenticationException: logger.error(f"[SSH] 认证失败 - Worker: {self.worker_id}") await self.send(text_data=json.dumps({ 'type': 'error', 'message': '认证失败，密码错误' })) except Exception as e: logger.error(f"[SSH] 连接失败 - Worker: {self.worker_id}, Error: {e}") await self.send(text_data=json.dumps({ 'type': 'error', 'message': f'连接失败: {str(e)}' })) async def _read_shell_output(self): """持续读取 shell 输出并发送到客户端""" try: while self.shell and not self.shell.closed: if self.shell.recv_ready(): data = await asyncio.to_thread(self.shell.recv, 4096) if data: await self.send(bytes_data=data) else: await asyncio.sleep(0.01) except asyncio.CancelledError: pass except Exception as e: logger.error(f"读取 shell 输出错误: {e}") async def _run_deploy_script(self): """运行部署脚本（在 tmux 会话中执行，支持断线续连） 流程： 1. 通过 SFTP 上传脚本到远程服务器 2. 使用 exec_command 静默执行（不在交互式终端回显） 3. 通过 WebSocket 发送结果到前端显示 """ if not self.ssh_client: return from apps.engine.services.deploy_service import ( get_bootstrap_script, get_deploy_script, get_start_agent_script ) # 优先使用 settings 中配置的对外访问主机（PUBLIC_HOST）拼接 Django URL public_host = getattr(settings, 'PUBLIC_HOST', '').strip() server_port = getattr(settings, 'SERVER_PORT', '8888') if not public_host: error_msg = ( "未配置 PUBLIC_HOST，请在 docker/.env 中设置对外访问 IP/域名 " "(PUBLIC_HOST) 并重启服务后再执行远程部署" ) logger.error(error_msg) await self.send(text_data=json.dumps({ 'type': 'error', 'message': error_msg, })) return # 远程 Worker 通过 nginx HTTPS 访问（nginx 反代到后端 8888） # 使用 https://{PUBLIC_HOST}:{PUBLIC_PORT} 而不是直连 8888 端口 public_port = getattr(settings, 'PUBLIC_PORT', '8083') heartbeat_api_url = f"https://{public_host}:{public_port}" session_name = f'xingrin_deploy_{self.worker_id}' remote_script_path = '/tmp/xingrin_deploy.sh' # 获取外置脚本内容 bootstrap_script = get_bootstrap_script() deploy_script = get_deploy_script() start_script = get_start_agent_script( heartbeat_api_url=heartbeat_api_url, worker_id=self.worker_id ) # 合并脚本 combined_script = f"""#!/bin/bash set -e # ==================== 阶段 1: 环境初始化 ==================== {bootstrap_script} # ==================== 阶段 2: 安装 Docker ==================== {deploy_script} # ==================== 阶段 3: 启动 Agent ==================== {start_script} echo "SUCCESS" """ # 更新状态为 deploying await sync_to_async(self.worker_service.update_status)(self.worker_id, 'deploying') # 发送开始提示 start_msg = "\r\n\033[36m[XingRin] 正在准备部署...\033[0m\r\n" await self.send(bytes_data=start_msg.encode()) try: # 1. 上传脚本 sftp = await asyncio.to_thread(self.ssh_client.open_sftp) with sftp.file(remote_script_path, 'w') as f: f.write(combined_script) sftp.chmod(remote_script_path, 0o755) await asyncio.to_thread(sftp.close) # 2. 静默执行部署命令（使用 exec_command，不会回显到终端） deploy_cmd = f""" # 确保 tmux 安装 if ! command -v tmux >/dev/null 2>&1; then if command -v apt-get >/dev/null 2>&1; then sudo apt-get update -qq && sudo apt-get install -y -qq tmux >/dev/null 2>&1 fi fi # 检查脚本是否存在 if [ ! -f "{remote_script_path}" ]; then echo "SCRIPT_NOT_FOUND" exit 1 fi # 启动 tmux 会话 if command -v tmux >/dev/null 2>&1; then tmux kill-session -t {session_name} 2>/dev/null || true # 使用 bash 执行脚本，确保环境正确 tmux new-session -d -s {session_name} "bash {remote_script_path}; echo '部署完成，按回车退出'; read" # 验证会话是否创建成功 sleep 0.5 if tmux has-session -t {session_name} 2>/dev/null; then echo "SUCCESS" else echo "SESSION_CREATE_FAILED" fi else echo "TMUX_NOT_FOUND" fi """ stdin, stdout, stderr = await asyncio.to_thread( self.ssh_client.exec_command, deploy_cmd ) result = await asyncio.to_thread(stdout.read) result = result.decode().strip() # 3. 发送结果到前端终端显示 if "SUCCESS" in result: # 部署任务已在后台启动，保持 deploying 状态 # 只有当心跳上报成功后才会变成 deployed（通过 heartbeat API 自动更新） success_msg = ( "\r\n\033[32m✓ 部署任务已在后台启动\033[0m\r\n" f"\033[90m 会话: {session_name}\033[0m\r\n" "\r\n" "\033[36m点击 [查看进度] 按钮查看部署输出\033[0m\r\n" f"\033[90m或手动执行: tmux attach -t {session_name}\033[0m\r\n" "\r\n" ) else: # 获取更多错误信息 err = await asyncio.to_thread(stderr.read) err_msg = err.decode().strip() if err else "" 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" await self.send(bytes_data=success_msg.encode()) except Exception as e: error_msg = f"\033[31m✗ 部署失败: {str(e)}\033[0m\r\n" await self.send(bytes_data=error_msg.encode()) logger.error(f"部署脚本执行失败: {e}") async def _run_uninstall_script(self): """在远程主机上执行 Worker 卸载脚本 逻辑： 1. 通过服务层读取本地 worker-uninstall.sh 内容 2. 上传到远程 /tmp/xingrin_uninstall.sh 并赋予执行权限 3. 使用 exec_command 以 bash 执行脚本 4. 将执行结果摘要写回前端终端 """ if not self.ssh_client: return from apps.engine.services.deploy_service import get_uninstall_script uninstall_script = get_uninstall_script() remote_script_path = '/tmp/xingrin_uninstall.sh' start_msg = "\r\n\033[36m[XingRin] 正在执行 Worker 卸载...\033[0m\r\n" await self.send(bytes_data=start_msg.encode()) try: # 上传卸载脚本 sftp = await asyncio.to_thread(self.ssh_client.open_sftp) with sftp.file(remote_script_path, 'w') as f: f.write(uninstall_script) sftp.chmod(remote_script_path, 0o755) await asyncio.to_thread(sftp.close) # 执行卸载脚本 cmd = f"bash {remote_script_path}" stdin, stdout, stderr = await asyncio.to_thread( self.ssh_client.exec_command, cmd ) out = await asyncio.to_thread(stdout.read) err = await asyncio.to_thread(stderr.read) # 转换换行符为终端格式 (\n -> \r\n) output_text = out.decode().strip().replace('\n', '\r\n') if out else "" error_text = err.decode().strip().replace('\n', '\r\n') if err else "" # 简单判断是否成功（退出码 + 关键字） exit_status = stdout.channel.recv_exit_status() if exit_status == 0: # 卸载成功，重置状态为 pending await sync_to_async(self.worker_service.update_status)(self.worker_id, 'pending') # 删除 Redis 中的心跳数据 from apps.engine.services.worker_load_service import worker_load_service worker_load_service.delete_load(self.worker_id) # 发送状态更新到前端 await self.send(text_data=json.dumps({ 'type': 'status', 'status': 'pending' # 卸载后变为待部署状态 })) msg = "\r\n\033[32m✓ 节点卸载完成\033[0m\r\n" if output_text: msg += f"\033[90m{output_text}\033[0m\r\n" else: msg = "\r\n\033[31m✗ Worker 卸载失败\033[0m\r\n" if output_text: msg += f"\033[90m输出: {output_text}\033[0m\r\n" if error_text: msg += f"\033[90m错误: {error_text}\033[0m\r\n" await self.send(bytes_data=msg.encode()) except Exception as e: error_msg = f"\033[31m✗ 卸载执行异常: {str(e)}\033[0m\r\n" await self.send(bytes_data=error_msg.encode()) logger.error(f"卸载脚本执行失败: {e}") async def _attach_deploy_session(self): """Attach 到部署会话查看进度""" if not self.shell or not self.ssh_client: return session_name = f'xingrin_deploy_{self.worker_id}' # 先静默检查会话是否存在 check_cmd = f"tmux has-session -t {session_name} 2>/dev/null && echo EXISTS || echo NOT_EXISTS" stdin, stdout, stderr = await asyncio.to_thread( self.ssh_client.exec_command, check_cmd ) result = await asyncio.to_thread(stdout.read) result = result.decode().strip() if "EXISTS" in result: # 会话存在，直接 attach await asyncio.to_thread(self.shell.send, f"tmux attach -t {session_name}\n") else: # 会话不存在，发送提示 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" await self.send(bytes_data=msg.encode()) # Channel Layer 消息处理 async def terminal_output(self, event): if self.shell: await asyncio.to_thread(self.shell.send, event['content']) async def deploy_status(self, event): await self.send(text_data=json.dumps({ 'type': 'status', 'status': event['status'], 'message': event.get('message', '') })) ================================================ FILE: backend/apps/engine/management/__init__.py ================================================ ================================================ FILE: backend/apps/engine/management/commands/__init__.py ================================================ ================================================ FILE: backend/apps/engine/management/commands/init_default_engine.py ================================================ """ 初始化默认扫描引擎 用法： python manage.py init_default_engine # 只创建不存在的引擎（不覆盖已有） python manage.py init_default_engine --force # 强制覆盖所有引擎配置 python manage.py init_default_engine --force-sub # 只覆盖子引擎，保留 full scan cd /root/my-vulun-scan/docker docker compose exec server python backend/manage.py init_default_engine --force 功能： - 读取 engine_config_example.yaml 作为默认配置 - 创建 full scan（默认引擎）+ 各扫描类型的子引擎 - 默认不覆盖已有配置，加 --force 才会覆盖 - 加 --force-sub 只覆盖子引擎配置，保留用户自定义的 full scan """ from django.core.management.base import BaseCommand from io import StringIO from pathlib import Path from ruamel.yaml import YAML from apps.engine.models import ScanEngine class Command(BaseCommand): 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）' def add_arguments(self, parser): parser.add_argument( '--force', action='store_true', help='强制覆盖已有的引擎配置（包括 full scan 和子引擎）', ) parser.add_argument( '--force-sub', action='store_true', help='只覆盖子引擎配置，保留 full scan（升级时使用）', ) def handle(self, *args, **options): force = options.get('force', False) force_sub = options.get('force_sub', False) # 读取默认配置文件 config_path = Path(__file__).resolve().parent.parent.parent.parent / 'scan' / 'configs' / 'engine_config_example.yaml' if not config_path.exists(): self.stdout.write(self.style.ERROR(f'配置文件不存在: {config_path}')) return with open(config_path, 'r', encoding='utf-8') as f: default_config = f.read() # 使用 ruamel.yaml 解析，保留注释 yaml_parser = YAML() yaml_parser.preserve_quotes = True try: config_dict = yaml_parser.load(default_config) or {} except Exception as e: self.stdout.write(self.style.ERROR(f'引擎配置 YAML 解析失败: {e}')) return # 1) full scan：保留完整配置 engine = ScanEngine.objects.filter(name='full scan').first() if engine: if force: engine.configuration = default_config engine.save() self.stdout.write(self.style.SUCCESS(f'✓ 扫描引擎 full scan 配置已更新 (ID: {engine.id})')) else: self.stdout.write(self.style.WARNING(f' ⊘ full scan 已存在，跳过（使用 --force 覆盖）')) else: engine = ScanEngine.objects.create( name='full scan', configuration=default_config, ) self.stdout.write(self.style.SUCCESS(f'✓ 扫描引擎 full scan 已创建 (ID: {engine.id})')) # 2) 为每个扫描类型生成一个「单一扫描类型」的子引擎 # 例如：subdomain_discovery, port_scan, ... from apps.scan.configs.command_templates import get_supported_scan_types supported_scan_types = set(get_supported_scan_types()) for scan_type, scan_cfg in config_dict.items(): # 只处理受支持且结构为 {tools: {...}} 的扫描类型 if scan_type not in supported_scan_types: continue if not isinstance(scan_cfg, dict): continue # 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 if scan_type != 'subdomain_discovery' and 'tools' not in scan_cfg: continue # 构造只包含当前扫描类型配置的 YAML（保留注释） single_config = {scan_type: scan_cfg} try: stream = StringIO() yaml_parser.dump(single_config, stream) single_yaml = stream.getvalue() except Exception as e: self.stdout.write(self.style.ERROR(f'生成子引擎 {scan_type} 配置失败: {e}')) continue engine_name = f"{scan_type}" sub_engine = ScanEngine.objects.filter(name=engine_name).first() if sub_engine: # force 或 force_sub 都会覆盖子引擎 if force or force_sub: sub_engine.configuration = single_yaml sub_engine.save() self.stdout.write(self.style.SUCCESS( f' ✓ 子引擎 {engine_name} 配置已更新 (ID: {sub_engine.id})' )) else: self.stdout.write(self.style.WARNING( f' ⊘ {engine_name} 已存在，跳过（使用 --force 覆盖）' )) else: sub_engine = ScanEngine.objects.create( name=engine_name, configuration=single_yaml, ) self.stdout.write(self.style.SUCCESS( f' ✓ 子引擎 {engine_name} 已创建 (ID: {sub_engine.id})' )) ================================================ FILE: backend/apps/engine/management/commands/init_fingerprints.py ================================================ """初始化内置指纹库 - EHole 指纹: ehole.json -> 导入到数据库 - Goby 指纹: goby.json -> 导入到数据库 - Wappalyzer 指纹: wappalyzer.json -> 导入到数据库 - Fingers 指纹: fingers_http.json -> 导入到数据库 - FingerPrintHub 指纹: fingerprinthub_web.json -> 导入到数据库 - ARL 指纹: ARL.yaml -> 导入到数据库 可重复执行：如果数据库已有数据则跳过，只在空库时导入。 """ import json import logging from pathlib import Path import yaml from django.conf import settings from django.core.management.base import BaseCommand from apps.engine.models import ( EholeFingerprint, GobyFingerprint, WappalyzerFingerprint, FingersFingerprint, FingerPrintHubFingerprint, ARLFingerprint, ) from apps.engine.services.fingerprints import ( EholeFingerprintService, GobyFingerprintService, WappalyzerFingerprintService, FingersFingerprintService, FingerPrintHubFingerprintService, ARLFingerprintService, ) logger = logging.getLogger(__name__) # 内置指纹配置 DEFAULT_FINGERPRINTS = [ { "type": "ehole", "filename": "ehole.json", "model": EholeFingerprint, "service": EholeFingerprintService, "data_key": "fingerprint", # JSON 中指纹数组的 key "file_format": "json", }, { "type": "goby", "filename": "goby.json", "model": GobyFingerprint, "service": GobyFingerprintService, "data_key": None, # Goby 是数组格式，直接使用整个 JSON "file_format": "json", }, { "type": "wappalyzer", "filename": "wappalyzer.json", "model": WappalyzerFingerprint, "service": WappalyzerFingerprintService, "data_key": "apps", # Wappalyzer 使用 apps 对象 "file_format": "json", }, { "type": "fingers", "filename": "fingers_http.json", "model": FingersFingerprint, "service": FingersFingerprintService, "data_key": None, # Fingers 是数组格式 "file_format": "json", }, { "type": "fingerprinthub", "filename": "fingerprinthub_web.json", "model": FingerPrintHubFingerprint, "service": FingerPrintHubFingerprintService, "data_key": None, # FingerPrintHub 是数组格式 "file_format": "json", }, { "type": "arl", "filename": "ARL.yaml", "model": ARLFingerprint, "service": ARLFingerprintService, "data_key": None, # ARL 是 YAML 数组格式 "file_format": "yaml", }, ] class Command(BaseCommand): help = "初始化内置指纹库" def handle(self, *args, **options): project_base = Path(settings.BASE_DIR).parent # /app/backend -> /app fingerprints_dir = project_base / "backend" / "fingerprints" initialized = 0 skipped = 0 failed = 0 for item in DEFAULT_FINGERPRINTS: fp_type = item["type"] filename = item["filename"] model = item["model"] service_class = item["service"] data_key = item["data_key"] file_format = item.get("file_format", "json") # 检查数据库是否已有数据 existing_count = model.objects.count() if existing_count > 0: self.stdout.write(self.style.SUCCESS( f"[{fp_type}] 数据库已有 {existing_count} 条记录，跳过初始化" )) skipped += 1 continue # 查找源文件 src_path = fingerprints_dir / filename if not src_path.exists(): self.stdout.write(self.style.WARNING( f"[{fp_type}] 未找到内置指纹文件: {src_path}，跳过" )) failed += 1 continue # 读取并解析文件（支持 JSON 和 YAML） try: with open(src_path, "r", encoding="utf-8") as f: if file_format == "yaml": file_data = yaml.safe_load(f) else: file_data = json.load(f) except (json.JSONDecodeError, yaml.YAMLError, OSError) as exc: self.stdout.write(self.style.ERROR( f"[{fp_type}] 读取指纹文件失败: {exc}" )) failed += 1 continue # 提取指纹数据（根据不同格式处理） fingerprints = self._extract_fingerprints(file_data, data_key, fp_type) if not fingerprints: self.stdout.write(self.style.WARNING( f"[{fp_type}] 指纹文件中没有有效数据，跳过" )) failed += 1 continue # 使用 Service 批量导入 try: service = service_class() result = service.batch_create_fingerprints(fingerprints) created = result.get("created", 0) failed_count = result.get("failed", 0) self.stdout.write(self.style.SUCCESS( f"[{fp_type}] 导入成功: 创建 {created} 条，失败 {failed_count} 条" )) initialized += 1 except Exception as exc: self.stdout.write(self.style.ERROR( f"[{fp_type}] 导入失败: {exc}" )) failed += 1 continue self.stdout.write(self.style.SUCCESS( f"指纹初始化完成: 成功 {initialized}, 已存在跳过 {skipped}, 失败 {failed}" )) def _extract_fingerprints(self, json_data, data_key, fp_type): """ 根据不同格式提取指纹数据，兼容数组和对象两种格式 支持的格式： - 数组格式: [...] 或 {"key": [...]} - 对象格式: {...} 或 {"key": {...}} -> 转换为 [{"name": k, ...v}] """ # 获取目标数据 if data_key is None: # 直接使用整个 JSON target = json_data else: # 从指定 key 获取，支持多个可能的 key（如 apps/technologies） if data_key == "apps": target = json_data.get("apps") or json_data.get("technologies") or {} else: target = json_data.get(data_key, []) # 根据数据类型处理 if isinstance(target, list): # 已经是数组格式，直接返回 return target elif isinstance(target, dict): # 对象格式，转换为数组 [{"name": key, ...value}] return [{"name": name, **data} if isinstance(data, dict) else {"name": name} for name, data in target.items()] return [] ================================================ FILE: backend/apps/engine/management/commands/init_nuclei_templates.py ================================================ """初始化 Nuclei 模板仓库 项目安装后执行此命令，自动创建官方模板仓库记录。 使用方式： python manage.py init_nuclei_templates # 只创建记录（检测本地已有仓库） python manage.py init_nuclei_templates --sync # 创建并同步（git clone） """ import logging import subprocess from pathlib import Path from django.conf import settings from django.core.management.base import BaseCommand from django.utils import timezone from apps.engine.models import NucleiTemplateRepo from apps.engine.services import NucleiTemplateRepoService logger = logging.getLogger(__name__) # 默认仓库配置 DEFAULT_REPOS = [ { "name": "nuclei-templates", "repo_url": "https://github.com/projectdiscovery/nuclei-templates.git", "description": "Nuclei 官方模板仓库，包含数千个漏洞检测模板", }, ] def get_local_commit_hash(local_path: Path) -> str: """获取本地 Git 仓库的 commit hash""" if not (local_path / ".git").is_dir(): return "" result = subprocess.run( ["git", "-C", str(local_path), "rev-parse", "HEAD"], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) return result.stdout.strip() if result.returncode == 0 else "" class Command(BaseCommand): help = "初始化 Nuclei 模板仓库（创建官方模板仓库记录）" def add_arguments(self, parser): parser.add_argument( "--sync", action="store_true", help="创建后立即同步（git clone），首次需要较长时间", ) parser.add_argument( "--force", action="store_true", help="强制重新创建（删除已存在的同名仓库）", ) def handle(self, *args, **options): do_sync = options.get("sync", False) force = options.get("force", False) service = NucleiTemplateRepoService() base_dir = Path(getattr(settings, "NUCLEI_TEMPLATES_REPOS_BASE_DIR", "/opt/xingrin/nuclei-repos")) created = 0 skipped = 0 synced = 0 for repo_config in DEFAULT_REPOS: name = repo_config["name"] repo_url = repo_config["repo_url"] # 检查是否已存在 existing = NucleiTemplateRepo.objects.filter(name=name).first() if existing: if force: self.stdout.write(self.style.WARNING( f"[{name}] 强制模式，删除已存在的仓库记录" )) service.remove_local_path_dir(existing) existing.delete() else: self.stdout.write(self.style.SUCCESS( f"[{name}] 已存在，跳过创建" )) skipped += 1 # 如果需要同步且已存在，也执行同步 if do_sync and existing.id: try: result = service.refresh_repo(existing.id) self.stdout.write(self.style.SUCCESS( f"[{name}] 同步完成: {result.get('action', 'unknown')}, " f"commit={result.get('commitHash', 'N/A')[:8]}" )) synced += 1 except Exception as e: self.stdout.write(self.style.ERROR( f"[{name}] 同步失败: {e}" )) continue # 创建新仓库记录 try: # 检查本地是否已有仓库（由 install.sh 预下载） local_path = base_dir / name local_commit = get_local_commit_hash(local_path) repo = NucleiTemplateRepo.objects.create( name=name, repo_url=repo_url, local_path=str(local_path) if local_commit else "", commit_hash=local_commit, last_synced_at=timezone.now() if local_commit else None, ) if local_commit: self.stdout.write(self.style.SUCCESS( f"[{name}] 创建成功（检测到本地仓库）: commit={local_commit[:8]}" )) else: self.stdout.write(self.style.SUCCESS( f"[{name}] 创建成功: id={repo.id}" )) created += 1 # 如果本地没有仓库且需要同步 if not local_commit and do_sync: try: self.stdout.write(self.style.WARNING( f"[{name}] 正在同步（首次可能需要几分钟）..." )) result = service.refresh_repo(repo.id) self.stdout.write(self.style.SUCCESS( f"[{name}] 同步完成: {result.get('action', 'unknown')}, " f"commit={result.get('commitHash', 'N/A')[:8]}" )) synced += 1 except Exception as e: self.stdout.write(self.style.ERROR( f"[{name}] 同步失败: {e}" )) except Exception as e: self.stdout.write(self.style.ERROR( f"[{name}] 创建失败: {e}" )) self.stdout.write(self.style.SUCCESS( f"\n初始化完成: 创建 {created}, 跳过 {skipped}, 同步 {synced}" )) ================================================ FILE: backend/apps/engine/management/commands/init_wordlists.py ================================================ """初始化所有内置字典 Wordlist 记录 内置字典从镜像内 /app/backend/wordlist/ 复制到运行时目录 /opt/xingrin/wordlists/： - 目录扫描默认字典: dir_default.txt - 子域名爆破默认字典: subdomains-top1million-110000.txt 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。 """ import logging import shutil from pathlib import Path from django.conf import settings from django.core.management.base import BaseCommand from apps.common.utils import safe_calc_file_sha256 from apps.engine.models import Wordlist logger = logging.getLogger(__name__) DEFAULT_WORDLISTS = [ { "name": "dir_default.txt", "filename": "dir_default.txt", "description": "内置默认目录字典", }, { "name": "subdomains-top1million-110000.txt", "filename": "subdomains-top1million-110000.txt", "description": "内置默认子域名字典", }, ] class Command(BaseCommand): help = "初始化所有内置字典 Wordlist 记录" def handle(self, *args, **options): project_base = Path(settings.BASE_DIR).parent # /app/backend -> /app base_wordlist_dir = project_base / "backend" / "wordlist" runtime_base_dir = Path(getattr(settings, "WORDLISTS_BASE_PATH", "/opt/xingrin/wordlists")) runtime_base_dir.mkdir(parents=True, exist_ok=True) initialized = 0 skipped = 0 failed = 0 for item in DEFAULT_WORDLISTS: name = item["name"] filename = item["filename"] description = item["description"] existing = Wordlist.objects.filter(name=name).first() if existing: file_path = existing.file_path or "" file_hash = getattr(existing, 'file_hash', '') or '' if file_path and Path(file_path).exists() and file_hash: # 记录、文件、hash 都在，直接跳过 self.stdout.write(self.style.SUCCESS( f"[{name}] 已存在且文件有效，跳过初始化 (file_path={file_path})" )) skipped += 1 continue elif file_path and Path(file_path).exists() and not file_hash: # 文件在但 hash 缺失，需要补算 self.stdout.write(self.style.WARNING( f"[{name}] 记录已存在但缺少 file_hash，将补算并更新" )) else: self.stdout.write(self.style.WARNING( 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" )) src_path = base_wordlist_dir / filename dest_path = runtime_base_dir / filename if not src_path.exists(): self.stdout.write(self.style.WARNING( f"[{name}] 未找到内置字典文件: {src_path}，跳过" )) failed += 1 continue try: shutil.copy2(src_path, dest_path) except OSError as exc: self.stdout.write(self.style.WARNING( f"[{name}] 复制内置字典到运行目录失败: {exc}" )) failed += 1 continue # 统计文件大小和行数 try: file_size = dest_path.stat().st_size except OSError: file_size = 0 line_count = 0 try: with dest_path.open("rb") as f: for _ in f: line_count += 1 except OSError: logger.warning("统计字典行数失败: %s", src_path) # 计算文件 hash file_hash = safe_calc_file_sha256(str(dest_path)) or "" # 如果之前已有记录则更新，否则创建新记录 if existing: existing.file_path = str(dest_path) existing.file_size = file_size existing.line_count = line_count existing.file_hash = file_hash existing.description = existing.description or description existing.save(update_fields=[ "file_path", "file_size", "line_count", "file_hash", "description", "updated_at", ]) wordlist = existing action = "更新" else: wordlist = Wordlist.objects.create( name=name, description=description, file_path=str(dest_path), file_size=file_size, line_count=line_count, file_hash=file_hash, ) action = "创建" initialized += 1 hash_preview = (wordlist.file_hash[:16] + "...") if wordlist.file_hash else "N/A" self.stdout.write(self.style.SUCCESS( f"[{name}] {action}字典记录成功: id={wordlist.id}, size={wordlist.file_size}, lines={wordlist.line_count}, hash={hash_preview}" )) self.stdout.write(self.style.SUCCESS( f"初始化完成: 成功 {initialized}, 已存在跳过 {skipped}, 文件缺失 {failed}" )) ================================================ FILE: backend/apps/engine/migrations/0001_initial.py ================================================ # Generated by Django 5.2.7 on 2026-01-06 00:55 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='NucleiTemplateRepo', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('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)), ('repo_url', models.CharField(help_text='Git 仓库地址', max_length=500)), ('local_path', models.CharField(blank=True, default='', help_text='本地工作目录绝对路径', max_length=500)), ('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)), ('last_synced_at', models.DateTimeField(blank=True, help_text='最后一次成功同步时间', null=True)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')), ], options={ 'verbose_name': 'Nuclei 模板仓库', 'verbose_name_plural': 'Nuclei 模板仓库', 'db_table': 'nuclei_template_repo', }, ), migrations.CreateModel( name='ARLFingerprint', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(help_text='指纹名称', max_length=300, unique=True)), ('rule', models.TextField(help_text='匹配规则表达式')), ('created_at', models.DateTimeField(auto_now_add=True)), ], options={ 'verbose_name': 'ARL 指纹', 'verbose_name_plural': 'ARL 指纹', 'db_table': 'arl_fingerprint', 'ordering': ['-created_at'], 'indexes': [models.Index(fields=['name'], name='arl_fingerp_name_c3a305_idx'), models.Index(fields=['-created_at'], name='arl_fingerp_created_ed1060_idx')], }, ), migrations.CreateModel( name='EholeFingerprint', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('cms', models.CharField(help_text='产品/CMS名称', max_length=200)), ('method', models.CharField(default='keyword', help_text='匹配方式', max_length=200)), ('location', models.CharField(default='body', help_text='匹配位置', max_length=200)), ('keyword', models.JSONField(default=list, help_text='关键词列表')), ('is_important', models.BooleanField(default=False, help_text='是否重点资产')), ('type', models.CharField(blank=True, default='-', help_text='分类', max_length=100)), ('created_at', models.DateTimeField(auto_now_add=True)), ], options={ 'verbose_name': 'EHole 指纹', 'verbose_name_plural': 'EHole 指纹', 'db_table': 'ehole_fingerprint', 'ordering': ['-created_at'], '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')], 'constraints': [models.UniqueConstraint(fields=('cms', 'method', 'location'), name='unique_ehole_fingerprint')], }, ), migrations.CreateModel( name='FingerPrintHubFingerprint', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('fp_id', models.CharField(help_text='指纹ID', max_length=200, unique=True)), ('name', models.CharField(help_text='指纹名称', max_length=300)), ('author', models.CharField(blank=True, default='', help_text='作者', max_length=200)), ('tags', models.CharField(blank=True, default='', help_text='标签', max_length=500)), ('severity', models.CharField(blank=True, default='info', help_text='严重程度', max_length=50)), ('metadata', models.JSONField(blank=True, default=dict, help_text='元数据')), ('http', models.JSONField(default=list, help_text='HTTP 匹配规则')), ('source_file', models.CharField(blank=True, default='', help_text='来源文件', max_length=500)), ('created_at', models.DateTimeField(auto_now_add=True)), ], options={ 'verbose_name': 'FingerPrintHub 指纹', 'verbose_name_plural': 'FingerPrintHub 指纹', 'db_table': 'fingerprinthub_fingerprint', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='FingersFingerprint', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(help_text='指纹名称', max_length=300, unique=True)), ('link', models.URLField(blank=True, default='', help_text='相关链接', max_length=500)), ('rule', models.JSONField(default=list, help_text='匹配规则数组')), ('tag', models.JSONField(default=list, help_text='标签数组')), ('focus', models.BooleanField(default=False, help_text='是否重点关注')), ('default_port', models.JSONField(blank=True, default=list, help_text='默认端口数组')), ('created_at', models.DateTimeField(auto_now_add=True)), ], options={ 'verbose_name': 'Fingers 指纹', 'verbose_name_plural': 'Fingers 指纹', 'db_table': 'fingers_fingerprint', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='GobyFingerprint', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(help_text='产品名称', max_length=300, unique=True)), ('logic', models.CharField(help_text='逻辑表达式', max_length=500)), ('rule', models.JSONField(default=list, help_text='规则数组')), ('created_at', models.DateTimeField(auto_now_add=True)), ], options={ 'verbose_name': 'Goby 指纹', 'verbose_name_plural': 'Goby 指纹', 'db_table': 'goby_fingerprint', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='ScanEngine', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(help_text='引擎名称', max_length=200, unique=True)), ('configuration', models.CharField(blank=True, default='', help_text='引擎配置，yaml 格式', max_length=10000)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')), ], options={ 'verbose_name': '扫描引擎', 'verbose_name_plural': '扫描引擎', 'db_table': 'scan_engine', 'ordering': ['-created_at'], 'indexes': [models.Index(fields=['-created_at'], name='scan_engine_created_da4870_idx')], }, ), migrations.CreateModel( name='WappalyzerFingerprint', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(help_text='应用名称', max_length=300, unique=True)), ('cats', models.JSONField(default=list, help_text='分类 ID 数组')), ('cookies', models.JSONField(blank=True, default=dict, help_text='Cookie 检测规则')), ('headers', models.JSONField(blank=True, default=dict, help_text='HTTP Header 检测规则')), ('script_src', models.JSONField(blank=True, default=list, help_text='脚本 URL 正则数组')), ('js', models.JSONField(blank=True, default=list, help_text='JavaScript 变量检测规则')), ('implies', models.JSONField(blank=True, default=list, help_text='依赖关系数组')), ('meta', models.JSONField(blank=True, default=dict, help_text='HTML meta 标签检测规则')), ('html', models.JSONField(blank=True, default=list, help_text='HTML 内容正则数组')), ('description', models.TextField(blank=True, default='', help_text='应用描述')), ('website', models.URLField(blank=True, default='', help_text='官网链接', max_length=500)), ('cpe', models.CharField(blank=True, default='', help_text='CPE 标识符', max_length=300)), ('created_at', models.DateTimeField(auto_now_add=True)), ], options={ 'verbose_name': 'Wappalyzer 指纹', 'verbose_name_plural': 'Wappalyzer 指纹', 'db_table': 'wappalyzer_fingerprint', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='Wordlist', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(help_text='字典名称，唯一', max_length=200, unique=True)), ('description', models.CharField(blank=True, default='', help_text='字典描述', max_length=200)), ('file_path', models.CharField(help_text='后端保存的字典文件绝对路径', max_length=500)), ('file_size', models.BigIntegerField(default=0, help_text='文件大小（字节）')), ('line_count', models.IntegerField(default=0, help_text='字典行数')), ('file_hash', models.CharField(blank=True, default='', help_text='文件 SHA-256 哈希，用于缓存校验', max_length=64)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')), ], options={ 'verbose_name': '字典文件', 'verbose_name_plural': '字典文件', 'db_table': 'wordlist', 'ordering': ['-created_at'], 'indexes': [models.Index(fields=['-created_at'], name='wordlist_created_4afb02_idx')], }, ), migrations.CreateModel( name='WorkerNode', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(help_text='节点名称', max_length=100)), ('ip_address', models.GenericIPAddressField(help_text='IP 地址（本地节点为 127.0.0.1）')), ('ssh_port', models.IntegerField(default=22, help_text='SSH 端口')), ('username', models.CharField(default='root', help_text='SSH 用户名', max_length=50)), ('password', models.CharField(blank=True, default='', help_text='SSH 密码', max_length=200)), ('is_local', models.BooleanField(default=False, help_text='是否为本地节点（Docker 容器内）')), ('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)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ], options={ 'verbose_name': 'Worker 节点', 'db_table': 'worker_node', 'ordering': ['-created_at'], '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')], }, ), ] ================================================ FILE: backend/apps/engine/migrations/__init__.py ================================================ ================================================ FILE: backend/apps/engine/models/__init__.py ================================================ """Engine Models 导出所有 Engine 模块的 Models """ from .engine import WorkerNode, ScanEngine, Wordlist, NucleiTemplateRepo from .fingerprints import ( EholeFingerprint, GobyFingerprint, WappalyzerFingerprint, FingersFingerprint, FingerPrintHubFingerprint, ARLFingerprint, ) __all__ = [ # 核心 Models "WorkerNode", "ScanEngine", "Wordlist", "NucleiTemplateRepo", # 指纹 Models "EholeFingerprint", "GobyFingerprint", "WappalyzerFingerprint", "FingersFingerprint", "FingerPrintHubFingerprint", "ARLFingerprint", ] ================================================ FILE: backend/apps/engine/models/engine.py ================================================ """Engine 模块核心 Models 包含 WorkerNode, ScanEngine, Wordlist, NucleiTemplateRepo """ from django.db import models class WorkerNode(models.Model): """Worker 节点模型 - 分布式扫描执行器""" # 状态选项（前后端统一） STATUS_CHOICES = [ ('pending', '待部署'), ('deploying', '部署中'), ('online', '在线'), ('offline', '离线'), ('updating', '更新中'), ('outdated', '版本过低'), ] name = models.CharField(max_length=100, help_text='节点名称') # 本地节点会自动填入 127.0.0.1 或容器 IP ip_address = models.GenericIPAddressField(help_text='IP 地址（本地节点为 127.0.0.1）') ssh_port = models.IntegerField(default=22, help_text='SSH 端口') username = models.CharField(max_length=50, default='root', help_text='SSH 用户名') password = models.CharField(max_length=200, blank=True, default='', help_text='SSH 密码') # 本地节点标记（Docker 容器内的 Worker） is_local = models.BooleanField(default=False, help_text='是否为本地节点（Docker 容器内）') # 状态（前后端统一） status = models.CharField( max_length=20, choices=STATUS_CHOICES, default='pending', help_text='状态: pending/deploying/online/offline' ) # 心跳数据存储在 Redis（worker:load:{id}），不再使用数据库字段 created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class Meta: db_table = 'worker_node' verbose_name = 'Worker 节点' ordering = ['-created_at'] constraints = [ # 远程节点 IP 唯一（本地节点不限制，因为都是 127.0.0.1） models.UniqueConstraint( fields=['ip_address'], condition=models.Q(is_local=False), name='unique_remote_worker_ip' ), # 名称全局唯一 models.UniqueConstraint( fields=['name'], name='unique_worker_name' ), ] def __str__(self): if self.is_local: return f"{self.name} (本地)" return f"{self.name} ({self.ip_address or '未知'})" class ScanEngine(models.Model): """扫描引擎模型""" id = models.AutoField(primary_key=True) name = models.CharField(max_length=200, unique=True, help_text='引擎名称') configuration = models.CharField(max_length=10000, blank=True, default='', help_text='引擎配置，yaml 格式') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') updated_at = models.DateTimeField(auto_now=True, help_text='更新时间') class Meta: db_table = 'scan_engine' verbose_name = '扫描引擎' verbose_name_plural = '扫描引擎' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), ] def __str__(self): return str(self.name or f'ScanEngine {self.id}') class Wordlist(models.Model): """字典文件模型""" id = models.AutoField(primary_key=True) name = models.CharField(max_length=200, unique=True, help_text='字典名称，唯一') description = models.CharField(max_length=200, blank=True, default='', help_text='字典描述') file_path = models.CharField(max_length=500, help_text='后端保存的字典文件绝对路径') file_size = models.BigIntegerField(default=0, help_text='文件大小（字节）') line_count = models.IntegerField(default=0, help_text='字典行数') file_hash = models.CharField(max_length=64, blank=True, default='', help_text='文件 SHA-256 哈希，用于缓存校验') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') updated_at = models.DateTimeField(auto_now=True, help_text='更新时间') class Meta: db_table = 'wordlist' verbose_name = '字典文件' verbose_name_plural = '字典文件' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), ] def __str__(self) -> str: return self.name class NucleiTemplateRepo(models.Model): """Nuclei 模板 Git 仓库模型（多仓库）""" 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") repo_url = models.CharField(max_length=500, help_text="Git 仓库地址") local_path = models.CharField(max_length=500, blank=True, default='', help_text="本地工作目录绝对路径") 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") last_synced_at = models.DateTimeField(null=True, blank=True, help_text="最后一次成功同步时间") created_at = models.DateTimeField(auto_now_add=True, help_text="创建时间") updated_at = models.DateTimeField(auto_now=True, help_text="更新时间") class Meta: db_table = "nuclei_template_repo" verbose_name = "Nuclei 模板仓库" verbose_name_plural = "Nuclei 模板仓库" def __str__(self) -> str: # pragma: no cover - 简单表示 return f"NucleiTemplateRepo({self.id}, {self.name})" ================================================ FILE: backend/apps/engine/models/fingerprints.py ================================================ """指纹相关 Models 包含 EHole、Goby、Wappalyzer 等指纹格式的数据模型 """ from django.db import models class GobyFingerprint(models.Model): """Goby 格式指纹规则 Goby 使用逻辑表达式和规则数组进行匹配： - logic: 逻辑表达式，如 "a||b", "(a&&b)||c" - rule: 规则数组，每条规则包含 label, feature, is_equal """ name = models.CharField(max_length=300, unique=True, help_text='产品名称') logic = models.CharField(max_length=500, help_text='逻辑表达式') rule = models.JSONField(default=list, help_text='规则数组') created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'goby_fingerprint' verbose_name = 'Goby 指纹' verbose_name_plural = 'Goby 指纹' ordering = ['-created_at'] indexes = [ models.Index(fields=['name']), models.Index(fields=['logic']), models.Index(fields=['-created_at']), ] def __str__(self) -> str: return f"{self.name} ({self.logic})" class EholeFingerprint(models.Model): """EHole 格式指纹规则（字段与 ehole.json 一致）""" cms = models.CharField(max_length=200, help_text='产品/CMS名称') method = models.CharField(max_length=200, default='keyword', help_text='匹配方式') location = models.CharField(max_length=200, default='body', help_text='匹配位置') keyword = models.JSONField(default=list, help_text='关键词列表') is_important = models.BooleanField(default=False, help_text='是否重点资产') type = models.CharField(max_length=100, blank=True, default='-', help_text='分类') created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'ehole_fingerprint' verbose_name = 'EHole 指纹' verbose_name_plural = 'EHole 指纹' ordering = ['-created_at'] indexes = [ # 搜索过滤字段索引 models.Index(fields=['cms']), models.Index(fields=['method']), models.Index(fields=['location']), models.Index(fields=['type']), models.Index(fields=['is_important']), # 排序字段索引 models.Index(fields=['-created_at']), ] constraints = [ # 唯一约束：cms + method + location 组合不能重复 models.UniqueConstraint( fields=['cms', 'method', 'location'], name='unique_ehole_fingerprint' ), ] def __str__(self) -> str: return f"{self.cms} ({self.method}@{self.location})" class WappalyzerFingerprint(models.Model): """Wappalyzer 格式指纹规则 Wappalyzer 支持多种检测方式：cookies, headers, scriptSrc, js, meta, html 等 """ name = models.CharField(max_length=300, unique=True, help_text='应用名称') cats = models.JSONField(default=list, help_text='分类 ID 数组') cookies = models.JSONField(default=dict, blank=True, help_text='Cookie 检测规则') headers = models.JSONField(default=dict, blank=True, help_text='HTTP Header 检测规则') script_src = models.JSONField(default=list, blank=True, help_text='脚本 URL 正则数组') js = models.JSONField(default=list, blank=True, help_text='JavaScript 变量检测规则') implies = models.JSONField(default=list, blank=True, help_text='依赖关系数组') meta = models.JSONField(default=dict, blank=True, help_text='HTML meta 标签检测规则') html = models.JSONField(default=list, blank=True, help_text='HTML 内容正则数组') description = models.TextField(blank=True, default='', help_text='应用描述') website = models.URLField(max_length=500, blank=True, default='', help_text='官网链接') cpe = models.CharField(max_length=300, blank=True, default='', help_text='CPE 标识符') created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'wappalyzer_fingerprint' verbose_name = 'Wappalyzer 指纹' verbose_name_plural = 'Wappalyzer 指纹' ordering = ['-created_at'] indexes = [ models.Index(fields=['name']), models.Index(fields=['website']), models.Index(fields=['cpe']), models.Index(fields=['-created_at']), ] def __str__(self) -> str: return f"{self.name}" class FingersFingerprint(models.Model): """Fingers 格式指纹规则 (fingers_http.json) 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 """ name = models.CharField(max_length=300, unique=True, help_text='指纹名称') link = models.URLField(max_length=500, blank=True, default='', help_text='相关链接') rule = models.JSONField(default=list, help_text='匹配规则数组') tag = models.JSONField(default=list, help_text='标签数组') focus = models.BooleanField(default=False, help_text='是否重点关注') default_port = models.JSONField(default=list, blank=True, help_text='默认端口数组') created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'fingers_fingerprint' verbose_name = 'Fingers 指纹' verbose_name_plural = 'Fingers 指纹' ordering = ['-created_at'] indexes = [ models.Index(fields=['name']), models.Index(fields=['link']), models.Index(fields=['focus']), models.Index(fields=['-created_at']), ] def __str__(self) -> str: return f"{self.name}" class FingerPrintHubFingerprint(models.Model): """FingerPrintHub 格式指纹规则 (fingerprinthub_web.json) 基于 nuclei 模板格式，使用 HTTP 请求和响应特征进行匹配 """ fp_id = models.CharField(max_length=200, unique=True, help_text='指纹ID') name = models.CharField(max_length=300, help_text='指纹名称') author = models.CharField(max_length=200, blank=True, default='', help_text='作者') tags = models.CharField(max_length=500, blank=True, default='', help_text='标签') severity = models.CharField(max_length=50, blank=True, default='info', help_text='严重程度') metadata = models.JSONField(default=dict, blank=True, help_text='元数据') http = models.JSONField(default=list, help_text='HTTP 匹配规则') source_file = models.CharField(max_length=500, blank=True, default='', help_text='来源文件') created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'fingerprinthub_fingerprint' verbose_name = 'FingerPrintHub 指纹' verbose_name_plural = 'FingerPrintHub 指纹' ordering = ['-created_at'] indexes = [ models.Index(fields=['fp_id']), models.Index(fields=['name']), models.Index(fields=['author']), models.Index(fields=['severity']), models.Index(fields=['-created_at']), ] def __str__(self) -> str: return f"{self.name} ({self.fp_id})" class ARLFingerprint(models.Model): """ARL 格式指纹规则 (ARL.yaml) 使用简单的 name + rule 表达式格式 """ name = models.CharField(max_length=300, unique=True, help_text='指纹名称') rule = models.TextField(help_text='匹配规则表达式') created_at = models.DateTimeField(auto_now_add=True) class Meta: db_table = 'arl_fingerprint' verbose_name = 'ARL 指纹' verbose_name_plural = 'ARL 指纹' ordering = ['-created_at'] indexes = [ models.Index(fields=['name']), models.Index(fields=['-created_at']), ] def __str__(self) -> str: return f"{self.name}" ================================================ FILE: backend/apps/engine/repositories/__init__.py ================================================ """Engine Repositories 模块 提供 ScanEngine、WorkerNode、Wordlist、NucleiRepo 等数据访问层实现 """ from .django_engine_repository import DjangoEngineRepository from .django_worker_repository import DjangoWorkerRepository from .django_wordlist_repository import DjangoWordlistRepository from .nuclei_repo_repository import NucleiTemplateRepository, TemplateFileRepository __all__ = [ "DjangoEngineRepository", "DjangoWorkerRepository", "DjangoWordlistRepository", "NucleiTemplateRepository", "TemplateFileRepository", ] ================================================ FILE: backend/apps/engine/repositories/django_engine_repository.py ================================================ """ ScanEngine 数据访问层 Django ORM 实现 基于 Django ORM 的 ScanEngine Repository 实现类 """ import logging from ..models import ScanEngine from apps.common.decorators import auto_ensure_db_connection logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoEngineRepository: """基于 Django ORM 的 ScanEngine 数据访问层实现""" def get_all(self): """获取所有扫描引擎查询集""" return ScanEngine.objects.all().order_by('-created_at') # type: ignore def get_by_id(self, engine_id: int) -> ScanEngine | None: """ 根据 ID 获取扫描引擎 Args: engine_id: 引擎 ID Returns: ScanEngine 对象或 None """ try: return ScanEngine.objects.get(id=engine_id) # type: ignore except ScanEngine.DoesNotExist: # type: ignore logger.warning("ScanEngine 不存在 - Engine ID: %s", engine_id) return None __all__ = ['DjangoEngineRepository'] ================================================ FILE: backend/apps/engine/repositories/django_wordlist_repository.py ================================================ """Wordlist 数据访问层 Django ORM 实现 基于 Django ORM 的 Wordlist Repository 实现类 """ import logging from apps.engine.models import Wordlist from apps.common.decorators import auto_ensure_db_connection logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoWordlistRepository: """基于 Django ORM 的 Wordlist 数据访问层实现""" def get_queryset(self): """获取字典查询集""" return Wordlist.objects.all().order_by("-created_at") def get_by_id(self, wordlist_id: int) -> Wordlist | None: """根据 ID 获取字典""" try: return Wordlist.objects.get(id=wordlist_id) except Wordlist.DoesNotExist: logger.warning("Wordlist 不存在 - ID: %s", wordlist_id) return None def get_by_name(self, name: str) -> Wordlist | None: try: return Wordlist.objects.get(name=name) except Wordlist.DoesNotExist: logger.warning("Wordlist 不存在 - 名称: %s", name) return None def create(self, **kwargs) -> Wordlist: """创建字典记录""" return Wordlist.objects.create(**kwargs) def delete(self, wordlist_id: int) -> bool: """删除字典记录""" wordlist = self.get_by_id(wordlist_id) if not wordlist: return False wordlist.delete() return True __all__ = ["DjangoWordlistRepository"] ================================================ FILE: backend/apps/engine/repositories/django_worker_repository.py ================================================ """ WorkerNode 数据访问层 Django ORM 实现 基于 Django ORM 的 WorkerNode Repository 实现类 """ import logging from typing import Any from django.utils import timezone from apps.engine.models import WorkerNode from apps.common.decorators import auto_ensure_db_connection logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoWorkerRepository: """基于 Django ORM 的 WorkerNode 数据访问层实现""" def get_by_id(self, worker_id: int) -> WorkerNode | None: """根据 ID 获取 Worker 节点""" try: return WorkerNode.objects.get(id=worker_id) except WorkerNode.DoesNotExist: logger.warning("WorkerNode 不存在 - ID: %s", worker_id) return None def get_all(self): """获取所有 Worker 节点的查询集""" return WorkerNode.objects.all().order_by("-created_at") def update_status(self, worker_id: int, status: str) -> bool: """更新 Worker 节点状态""" worker = self.get_by_id(worker_id) if not worker: return False worker.status = status worker.save(update_fields=["status"]) logger.info("Worker %s 状态更新为: %s", worker_id, status) return True def delete_by_id(self, worker_id: int) -> bool: """根据 ID 删除 Worker 节点""" worker = self.get_by_id(worker_id) if not worker: return False worker.delete() logger.info("Worker %s 已删除", worker_id) return True def get_or_create_by_name( self, name: str, is_local: bool = True ) -> tuple[WorkerNode, bool]: """ 根据名称获取或创建 Worker 节点 用于本地 Worker 自注册。 Args: name: Worker 名称 is_local: 是否为本地节点 Returns: (worker, created) 元组 """ import socket # 尝试获取本机 IP try: hostname = socket.gethostname() ip_address = socket.gethostbyname(hostname) except Exception: ip_address = '127.0.0.1' worker, created = WorkerNode.objects.get_or_create( name=name, defaults={ 'ip_address': ip_address, 'is_local': is_local, 'status': 'offline', # 等待心跳上报后自动变为 online } ) if created: logger.info("本地 Worker 注册成功: %s (IP: %s)", name, ip_address) else: logger.debug("本地 Worker 已存在: %s", name) return worker, created __all__ = ["DjangoWorkerRepository"] ================================================ FILE: backend/apps/engine/repositories/nuclei_repo_repository.py ================================================ """Nuclei 模板仓库 Repository 层 本模块包含两个 Repository 类，负责数据访问： 1. NucleiTemplateRepository - 职责：ORM 操作，按 ID 查询仓库配置 - 被 Service 层调用，不直接被 View 调用 2. TemplateFileRepository - 职责：文件系统操作，读取模板目录树和文件内容（只读） - 按仓库的 local_path 构建，一个仓库对应一个实例 调用链路： View → Service → Repository → Model/FileSystem """ from __future__ import annotations import os from pathlib import Path from typing import Dict, List, Optional from apps.common.decorators import auto_ensure_db_connection from apps.engine.models import NucleiTemplateRepo @auto_ensure_db_connection class NucleiTemplateRepository: """Nuclei 模板仓库 ORM Repository 负责与 NucleiTemplateRepo 模型交互，提供按 ID 查询功能。 CRUD 操作由 DRF ModelViewSet 默认实现，这里只保留 Service 需要的查询方法。 """ def get_by_id(self, repo_id: int) -> Optional[NucleiTemplateRepo]: """根据 ID 获取仓库对象 Args: repo_id: 仓库 ID Returns: NucleiTemplateRepo 对象，不存在返回 None """ try: return NucleiTemplateRepo.objects.get(id=repo_id) except NucleiTemplateRepo.DoesNotExist: return None class TemplateFileRepository: """模板文件系统 Repository（只读） 负责读取指定根目录下的 Nuclei 模板文件。 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。 Attributes: root: 仓库本地根目录路径（即 git clone 的目标目录） """ def __init__(self, root: Path) -> None: """初始化文件系统 Repository Args: root: 仓库本地根目录路径（会自动转换为绝对路径） """ # 确保存储的是绝对路径 self.root = root.resolve() def get_tree(self) -> List[Dict]: """获取模板目录树结构 遍历 root 目录，构建树形结构，只包含： - 文件夹节点 - .yaml / .yml 文件节点 Returns: 树形结构列表，格式如下： [ { "type": "folder", "name": "nuclei-templates", "path": "", "children": [ {"type": "folder", "name": "http", "path": "http", "children": [...]}, {"type": "file", "name": "example.yaml", "path": "http/example.yaml"} ] } ] """ # self.root 在 __init__ 中已确保是绝对路径 root_dir = self.root # 根节点 root_node: Dict = { "type": "folder", "name": root_dir.name or "root", "path": "", "children": [], } # 目录不存在时返回空树 if not root_dir.exists() or not root_dir.is_dir(): return [root_node] # 用于快速查找父节点 path_to_node: Dict[Path, Dict] = {root_dir: root_node} # 遍历目录树 for dirpath, dirnames, filenames in os.walk(root_dir): current_dir = Path(dirpath) parent_node = path_to_node.get(current_dir) if parent_node is None: continue # 添加子目录节点（按名称排序） for dirname in sorted(dirnames): child_fs_path = current_dir / dirname rel = child_fs_path.relative_to(root_dir) api_path = rel.as_posix() # 使用 POSIX 风格路径（前端友好） node: Dict = { "type": "folder", "name": dirname, "path": api_path, "children": [], } parent_node.setdefault("children", []).append(node) path_to_node[child_fs_path] = node # 添加模板文件节点（仅 .yaml / .yml，按名称排序） for filename in sorted(filenames): if not (filename.endswith(".yaml") or filename.endswith(".yml")): continue file_fs_path = current_dir / filename rel = file_fs_path.relative_to(root_dir) api_path = rel.as_posix() file_node: Dict = { "type": "file", "name": filename, "path": api_path, } parent_node.setdefault("children", []).append(file_node) return [root_node] def get_file_content(self, rel_path: str) -> Optional[Dict]: """根据相对路径获取模板文件内容 Args: rel_path: 相对于 root 的路径，如 "http/cves/CVE-2021-1234.yaml" Returns: 成功时返回： { "path": "http/cves/CVE-2021-1234.yaml", "name": "CVE-2021-1234.yaml", "content": "id: CVE-2021-1234\ninfo:\n name: ..." } 失败时返回 None（路径无效、文件不存在、读取失败等） """ # 清理路径 rel_path = (rel_path or "").strip().lstrip("/") if not rel_path: return None # self.root 在 __init__ 中已确保是绝对路径 base_dir = self.root # 拼接后 resolve() 确保解析 .. 等相对路径符号（防止目录遍历攻击） target_path = (base_dir / rel_path).resolve() # 防止目录遍历攻击：确保目标路径在 base_dir 内 try: target_path.relative_to(base_dir) except ValueError: return None # 检查文件是否存在 if not target_path.is_file(): return None # 读取文件内容 try: content = target_path.read_text(encoding="utf-8", errors="replace") except OSError: return None return { "path": rel_path, "name": target_path.name, "content": content, } __all__ = ["NucleiTemplateRepository", "TemplateFileRepository"] ================================================ FILE: backend/apps/engine/routing.py ================================================ """ Worker WebSocket 路由配置 """ from django.urls import path from .consumers import WorkerDeployConsumer websocket_urlpatterns = [ path('ws/workers/<int:worker_id>/deploy/', WorkerDeployConsumer.as_asgi()), ] ================================================ FILE: backend/apps/engine/scheduler.py ================================================ """ APScheduler 定时任务调度器 替代 Prefect Work Pool，用于触发定时任务。 实际任务执行通过 task_distributor 分发到各 Worker。 """ import logging from apscheduler.schedulers.background import BackgroundScheduler from apscheduler.triggers.cron import CronTrigger from apscheduler.triggers.interval import IntervalTrigger from django.conf import settings logger = logging.getLogger(__name__) # 全局调度器实例 _scheduler: BackgroundScheduler | None = None def get_scheduler() -> BackgroundScheduler: """获取调度器实例""" global _scheduler if _scheduler is None: _scheduler = BackgroundScheduler( timezone=settings.TIME_ZONE, job_defaults={ 'coalesce': True, # 合并错过的任务 'max_instances': 1, # 同一任务最多同时运行1个实例 'misfire_grace_time': 60 * 5, # 错过5分钟内仍然执行 } ) return _scheduler def start_scheduler(): """启动调度器并注册所有定时任务""" scheduler = get_scheduler() if scheduler.running: logger.info("调度器已在运行") return # 注册定时任务 _register_scheduled_jobs(scheduler) # 启动调度器 scheduler.start() logger.info("✓ APScheduler 定时调度器已启动") def shutdown_scheduler(): """关闭调度器""" global _scheduler if _scheduler and _scheduler.running: _scheduler.shutdown(wait=False) logger.info("APScheduler 调度器已关闭") _scheduler = None def _register_scheduled_jobs(scheduler: BackgroundScheduler): """注册所有定时任务""" # 1. 定时扫描任务（检查并执行到期的定时扫描） scheduler.add_job( _trigger_scheduled_scans, trigger=IntervalTrigger(minutes=1), # 每分钟检查并触发到期任务 id='scheduled_scans', name='定时扫描任务', replace_existing=True, ) logger.info(" - 已注册: 定时扫描任务（每分钟）") # 2. 资产统计刷新（每小时） scheduler.add_job( _trigger_statistics_refresh, trigger=CronTrigger(minute=0), # 每小时整点 id='statistics_refresh', name='资产统计刷新', replace_existing=True, ) logger.info(" - 已注册: 资产统计刷新（每小时）") # 3. 扫描结果清理（每天凌晨3点） scheduler.add_job( _trigger_cleanup, trigger=CronTrigger(hour=3, minute=0), id='scan_cleanup', name='扫描结果清理', replace_existing=True, ) logger.info(" - 已注册: 扫描结果清理（每天 03:00）") # 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 def _trigger_scheduled_scans(): """触发到期的定时扫描任务""" try: from apps.scan.services.scheduled_scan_service import ScheduledScanService service = ScheduledScanService() triggered_count = service.trigger_due_scans() if triggered_count > 0: logger.info(f"定时扫描: 已触发 {triggered_count} 个任务") except Exception as e: logger.error(f"定时扫描任务执行失败: {e}", exc_info=True) def _trigger_statistics_refresh(): """触发资产统计刷新""" try: from apps.asset.services.statistics_service import AssetStatisticsService service = AssetStatisticsService() service.refresh_statistics() logger.info("资产统计刷新完成") except Exception as e: logger.error(f"资产统计刷新失败: {e}", exc_info=True) def _trigger_cleanup(): """触发扫描结果清理（分发到各 Worker）""" try: from apps.engine.services.task_distributor import TaskDistributor distributor = TaskDistributor() results = distributor.execute_cleanup_on_all_workers() logger.info(f"扫描清理任务已分发到 {len(results)} 个 Worker") except Exception as e: logger.error(f"扫描清理任务分发失败: {e}", exc_info=True) ================================================ FILE: backend/apps/engine/serializers/__init__.py ================================================ """ Engine Serializers """ from .worker_serializer import WorkerNodeSerializer from .engine_serializer import ScanEngineSerializer from .wordlist_serializer import WordlistSerializer from .nuclei_template_repo_serializer import NucleiTemplateRepoSerializer __all__ = [ "WorkerNodeSerializer", "ScanEngineSerializer", "WordlistSerializer", "NucleiTemplateRepoSerializer", ] ================================================ FILE: backend/apps/engine/serializers/engine_serializer.py ================================================ """ 扫描引擎序列化器 """ from rest_framework import serializers from apps.engine.models import ScanEngine class ScanEngineSerializer(serializers.ModelSerializer): """扫描引擎序列化器""" class Meta: model = ScanEngine fields = [ 'id', 'name', 'configuration', 'created_at', 'updated_at', ] read_only_fields = ['id', 'created_at', 'updated_at'] def to_representation(self, instance): """自定义序列化输出""" data = super().to_representation(instance) # 确保 configuration 字段存在且不为 null if data.get('configuration') is None: data['configuration'] = '' return data def validate_name(self, value): """验证引擎名称""" if not value.strip(): raise serializers.ValidationError("引擎名称不能为空") return value.strip() def validate_configuration(self, value): """验证 YAML 配置""" if value: # 可以在这里添加 YAML 格式验证 import yaml try: yaml.safe_load(value) except yaml.YAMLError as e: raise serializers.ValidationError(f"YAML 格式错误: {str(e)}") return value ================================================ FILE: backend/apps/engine/serializers/fingerprints/__init__.py ================================================ """指纹管理 Serializers 导出所有指纹相关的 Serializer 类 """ from .ehole import EholeFingerprintSerializer from .goby import GobyFingerprintSerializer from .wappalyzer import WappalyzerFingerprintSerializer from .fingers import FingersFingerprintSerializer from .fingerprinthub import FingerPrintHubFingerprintSerializer from .arl import ARLFingerprintSerializer __all__ = [ "EholeFingerprintSerializer", "GobyFingerprintSerializer", "WappalyzerFingerprintSerializer", "FingersFingerprintSerializer", "FingerPrintHubFingerprintSerializer", "ARLFingerprintSerializer", ] ================================================ FILE: backend/apps/engine/serializers/fingerprints/arl.py ================================================ """ARL 指纹 Serializer""" from rest_framework import serializers from apps.engine.models import ARLFingerprint class ARLFingerprintSerializer(serializers.ModelSerializer): """ARL 指纹序列化器 字段映射: - name: 指纹名称 (必填, 唯一) - rule: 匹配规则表达式 (必填) """ class Meta: model = ARLFingerprint fields = ['id', 'name', 'rule', 'created_at'] read_only_fields = ['id', 'created_at'] def validate_name(self, value): """校验 name 字段""" if not value or not value.strip(): raise serializers.ValidationError("name 字段不能为空") return value.strip() def validate_rule(self, value): """校验 rule 字段""" if not value or not value.strip(): raise serializers.ValidationError("rule 字段不能为空") return value.strip() ================================================ FILE: backend/apps/engine/serializers/fingerprints/ehole.py ================================================ """EHole 指纹 Serializer""" from rest_framework import serializers from apps.engine.models import EholeFingerprint class EholeFingerprintSerializer(serializers.ModelSerializer): """EHole 指纹序列化器""" class Meta: model = EholeFingerprint fields = ['id', 'cms', 'method', 'location', 'keyword', 'is_important', 'type', 'created_at'] read_only_fields = ['id', 'created_at'] def validate_cms(self, value): """校验 cms 字段""" if not value or not value.strip(): raise serializers.ValidationError("cms 字段不能为空") return value.strip() def validate_keyword(self, value): """校验 keyword 字段""" if not isinstance(value, list): raise serializers.ValidationError("keyword 必须是数组") return value ================================================ FILE: backend/apps/engine/serializers/fingerprints/fingerprinthub.py ================================================ """FingerPrintHub 指纹 Serializer""" from rest_framework import serializers from apps.engine.models import FingerPrintHubFingerprint class FingerPrintHubFingerprintSerializer(serializers.ModelSerializer): """FingerPrintHub 指纹序列化器 字段映射: - fp_id: 指纹ID (必填, 唯一) - name: 指纹名称 (必填) - author: 作者 (可选) - tags: 标签字符串 (可选) - severity: 严重程度 (可选, 默认 'info') - metadata: 元数据 JSON (可选) - http: HTTP 匹配规则数组 (必填) - source_file: 来源文件 (可选) """ class Meta: model = FingerPrintHubFingerprint fields = ['id', 'fp_id', 'name', 'author', 'tags', 'severity', 'metadata', 'http', 'source_file', 'created_at'] read_only_fields = ['id', 'created_at'] def validate_fp_id(self, value): """校验 fp_id 字段""" if not value or not value.strip(): raise serializers.ValidationError("fp_id 字段不能为空") return value.strip() def validate_name(self, value): """校验 name 字段""" if not value or not value.strip(): raise serializers.ValidationError("name 字段不能为空") return value.strip() def validate_http(self, value): """校验 http 字段""" if not isinstance(value, list): raise serializers.ValidationError("http 必须是数组") return value def validate_metadata(self, value): """校验 metadata 字段""" if not isinstance(value, dict): raise serializers.ValidationError("metadata 必须是对象") return value ================================================ FILE: backend/apps/engine/serializers/fingerprints/fingers.py ================================================ """Fingers 指纹 Serializer""" from rest_framework import serializers from apps.engine.models import FingersFingerprint class FingersFingerprintSerializer(serializers.ModelSerializer): """Fingers 指纹序列化器 字段映射: - name: 指纹名称 (必填, 唯一) - link: 相关链接 (可选) - rule: 匹配规则数组 (必填) - tag: 标签数组 (可选) - focus: 是否重点关注 (可选, 默认 False) - default_port: 默认端口数组 (可选) """ class Meta: model = FingersFingerprint fields = ['id', 'name', 'link', 'rule', 'tag', 'focus', 'default_port', 'created_at'] read_only_fields = ['id', 'created_at'] def validate_name(self, value): """校验 name 字段""" if not value or not value.strip(): raise serializers.ValidationError("name 字段不能为空") return value.strip() def validate_rule(self, value): """校验 rule 字段""" if not isinstance(value, list): raise serializers.ValidationError("rule 必须是数组") return value def validate_tag(self, value): """校验 tag 字段""" if not isinstance(value, list): raise serializers.ValidationError("tag 必须是数组") return value def validate_default_port(self, value): """校验 default_port 字段""" if not isinstance(value, list): raise serializers.ValidationError("default_port 必须是数组") return value ================================================ FILE: backend/apps/engine/serializers/fingerprints/goby.py ================================================ """Goby 指纹 Serializer""" from rest_framework import serializers from apps.engine.models import GobyFingerprint class GobyFingerprintSerializer(serializers.ModelSerializer): """Goby 指纹序列化器""" class Meta: model = GobyFingerprint fields = ['id', 'name', 'logic', 'rule', 'created_at'] read_only_fields = ['id', 'created_at'] def validate_name(self, value): """校验 name 字段""" if not value or not value.strip(): raise serializers.ValidationError("name 字段不能为空") return value.strip() def validate_rule(self, value): """校验 rule 字段""" if not isinstance(value, list): raise serializers.ValidationError("rule 必须是数组") return value ================================================ FILE: backend/apps/engine/serializers/fingerprints/wappalyzer.py ================================================ """Wappalyzer 指纹 Serializer""" from rest_framework import serializers from apps.engine.models import WappalyzerFingerprint class WappalyzerFingerprintSerializer(serializers.ModelSerializer): """Wappalyzer 指纹序列化器""" class Meta: model = WappalyzerFingerprint fields = [ 'id', 'name', 'cats', 'cookies', 'headers', 'script_src', 'js', 'implies', 'meta', 'html', 'description', 'website', 'cpe', 'created_at' ] read_only_fields = ['id', 'created_at'] def validate_name(self, value): """校验 name 字段""" if not value or not value.strip(): raise serializers.ValidationError("name 字段不能为空") return value.strip() ================================================ FILE: backend/apps/engine/serializers/nuclei_template_repo_serializer.py ================================================ """Nuclei 模板仓库序列化器 用于 DRF ModelViewSet 的 CRUD 操作，将 NucleiTemplateRepo 模型序列化为 JSON。 字段说明： - id: 仓库 ID（只读，自动生成） - name: 仓库名称，用于前端展示 - repo_url: Git 仓库地址，如 https://github.com/projectdiscovery/nuclei-templates.git - local_path: 本地克隆路径（只读，由后端自动生成） - last_synced_at: 最后同步时间（只读） - created_at: 创建时间（只读） - updated_at: 更新时间（只读） """ from __future__ import annotations from rest_framework import serializers from apps.engine.models import NucleiTemplateRepo class NucleiTemplateRepoSerializer(serializers.ModelSerializer): """Nuclei 模板仓库序列化器 用于仓库的 CRUD API 响应。 """ class Meta: model = NucleiTemplateRepo fields = [ "id", # 仓库 ID（只读） "name", # 仓库名称 "repo_url", # Git 仓库地址 "local_path", # 本地克隆路径（只读） "commit_hash", # 最后同步的 commit hash（只读） "last_synced_at", # 最后同步时间（只读） "created_at", # 创建时间（只读） "updated_at", # 更新时间（只读） ] read_only_fields = [ "id", "local_path", # 由后端根据 name 自动生成 "commit_hash", # 由 refresh 操作更新 "last_synced_at", # 由 refresh 操作更新 "created_at", "updated_at", ] __all__ = ["NucleiTemplateRepoSerializer"] ================================================ FILE: backend/apps/engine/serializers/wordlist_serializer.py ================================================ """字典文件序列化器""" from rest_framework import serializers from apps.engine.models import Wordlist class WordlistSerializer(serializers.ModelSerializer): """字典文件序列化器""" class Meta: model = Wordlist fields = [ "id", "name", "description", "file_path", "file_size", "line_count", "file_hash", "created_at", "updated_at", ] read_only_fields = [ "id", "file_path", "file_size", "line_count", "file_hash", "created_at", "updated_at", ] ================================================ FILE: backend/apps/engine/serializers/worker_serializer.py ================================================ """ Worker 节点序列化器 """ from rest_framework import serializers from apps.engine.models import WorkerNode class WorkerNodeSerializer(serializers.ModelSerializer): """ Worker 节点序列化器 优化：通过 context['loads'] 传入批量查询的 Redis 数据，避免 N+1 查询 """ # 密码只写（不返回给前端） password = serializers.CharField(write_only=True, required=False, allow_blank=True) # 状态（数据库存储 + Redis 心跳补充判断） status = serializers.SerializerMethodField() # 负载数据（从 Redis 读取） info = serializers.SerializerMethodField() class Meta: model = WorkerNode fields = ['id', 'name', 'ip_address', 'ssh_port', 'username', 'status', 'is_local', 'info', 'created_at', 'updated_at', 'password'] read_only_fields = ['id', 'status', 'is_local', 'info', 'created_at', 'updated_at'] def _get_load_from_context(self, worker_id: int) -> dict | None: """从 context 获取预加载的负载数据""" loads = self.context.get('loads', {}) return loads.get(worker_id) def get_status(self, obj) -> str: """ 获取状态（前后端统一）： - pending/deploying: 直接返回数据库值 - online/offline: 通过 Redis 心跳动态判断 """ # pending 和 deploying 直接返回 if obj.status in ('pending', 'deploying'): return obj.status # online/offline 通过 Redis 心跳判断 # 优先从 context 获取（批量查询） load = self._get_load_from_context(obj.id) if load is not None: return 'online' # 回退：单独查询 Redis from apps.engine.services.worker_load_service import worker_load_service if worker_load_service.is_online(obj.id): return 'online' return 'offline' def get_info(self, obj) -> dict | None: """获取负载数据 注意：返回的字典键名使用 camelCase，因为 djangorestframework_camel_case 只转换序列化器字段名，不会递归转换 SerializerMethodField 返回的嵌套字典 """ # 优先从 context 获取（批量查询） load = self._get_load_from_context(obj.id) if load is not None: return { 'cpuPercent': load.get('cpu', 0), 'memoryPercent': load.get('mem', 0), } # 回退：单独查询 Redis from apps.engine.services.worker_load_service import worker_load_service load = worker_load_service.get_load(obj.id) if load: return { 'cpuPercent': load.get('cpu', 0), 'memoryPercent': load.get('mem', 0), } return None def create(self, validated_data): """创建时保存密码""" return super().create(validated_data) def update(self, instance, validated_data): """更新时，如果密码为空则不更新密码""" password = validated_data.get('password', '') if not password: validated_data.pop('password', None) return super().update(instance, validated_data) ================================================ FILE: backend/apps/engine/services/__init__.py ================================================ """ Engine 服务层 """ from .engine_service import EngineService from .worker_service import WorkerService from .wordlist_service import WordlistService from .nuclei_template_repo_service import NucleiTemplateRepoService from .deploy_service import ( get_bootstrap_script, get_deploy_script, get_start_agent_script, get_uninstall_script, ) __all__ = [ "EngineService", "WorkerService", "WordlistService", "NucleiTemplateRepoService", "get_bootstrap_script", "get_deploy_script", "get_start_agent_script", "get_uninstall_script", ] ================================================ FILE: backend/apps/engine/services/deploy_service.py ================================================ """ 远程节点部署脚本服务 脚本文件位置：backend/scripts/worker-deploy/ - bootstrap.sh: 环境初始化（安装基础依赖） - install.sh: 安装 Docker + 拉取镜像 - uninstall.sh: 卸载脚本 - start-agent.sh: 启动 agent 容器 - agent.sh: 心跳上报（在容器内运行） 新架构说明： - 远程节点只需安装 Docker 和运行 agent - 扫描任务由主服务器通过 SSH docker run 执行 """ from pathlib import Path from django.conf import settings # 脚本目录 SCRIPTS_DIR = Path(__file__).parent.parent.parent.parent / "scripts" / "worker-deploy" def _read_script(filename: str) -> str: """读取脚本文件内容""" script_path = SCRIPTS_DIR / filename if script_path.exists(): return script_path.read_text() else: raise FileNotFoundError(f"脚本文件不存在: {script_path}") def get_bootstrap_script() -> str: """获取环境初始化脚本""" return _read_script("bootstrap.sh") def get_deploy_script() -> str: """获取安装脚本（安装 Docker + 拉取镜像）""" script = _read_script("install.sh") # 注入镜像版本配置（确保远程节点使用相同版本） docker_user = getattr(settings, 'DOCKER_USER', 'yyhuni') image_tag = settings.IMAGE_TAG # 必须有值，settings.py 启动时已校验 version_export = f'export DOCKER_USER="{docker_user}"\nexport IMAGE_TAG="{image_tag}"\n' # 在 set -e 后插入版本配置 script = script.replace('set -e\n', f'set -e\n\n{version_export}', 1) return script def get_uninstall_script() -> str: """获取卸载脚本""" return _read_script("uninstall.sh") def get_start_agent_script( heartbeat_api_url: str = None, worker_id: int = None ) -> str: """ 获取 agent 启动脚本 :param heartbeat_api_url: 心跳上报地址 :param worker_id: Worker ID """ script = _read_script("start-agent.sh") # 替换变量 script = script.replace("{{HEARTBEAT_API_URL}}", heartbeat_api_url or '') script = script.replace("{{WORKER_ID}}", str(worker_id) if worker_id else '') script = script.replace("{{WORKER_API_KEY}}", getattr(settings, 'WORKER_API_KEY', '')) # 注入镜像版本配置（确保远程节点使用相同版本） docker_user = getattr(settings, 'DOCKER_USER', 'yyhuni') image_tag = settings.IMAGE_TAG # 必须有值，settings.py 启动时已校验 version_export = f'export DOCKER_USER="{docker_user}"\nexport IMAGE_TAG="{image_tag}"\n' # 在 set -e 后插入版本配置 script = script.replace('set -e\n', f'set -e\n\n{version_export}', 1) return script ================================================ FILE: backend/apps/engine/services/engine_service.py ================================================ """ ScanEngine 业务逻辑服务层（Service） 负责扫描引擎相关的业务逻辑处理 """ import logging from ..models import ScanEngine from ..repositories import DjangoEngineRepository logger = logging.getLogger(__name__) class EngineService: """ScanEngine 业务逻辑服务""" def __init__(self): """初始化服务，注入 Repository 依赖""" self.repo = DjangoEngineRepository() def get_engine(self, engine_id: int) -> ScanEngine | None: """ 获取扫描引擎 Args: engine_id: 引擎 ID Returns: ScanEngine 对象或 None """ return self.repo.get_by_id(engine_id) def get_all_engines(self): """获取所有扫描引擎查询集""" return self.repo.get_all() __all__ = ['EngineService'] ================================================ FILE: backend/apps/engine/services/fingerprints/__init__.py ================================================ """指纹管理 Services 导出所有指纹相关的 Service 类 """ from .base import BaseFingerprintService from .ehole import EholeFingerprintService from .goby import GobyFingerprintService from .wappalyzer import WappalyzerFingerprintService from .fingers_service import FingersFingerprintService from .fingerprinthub_service import FingerPrintHubFingerprintService from .arl_service import ARLFingerprintService __all__ = [ "BaseFingerprintService", "EholeFingerprintService", "GobyFingerprintService", "WappalyzerFingerprintService", "FingersFingerprintService", "FingerPrintHubFingerprintService", "ARLFingerprintService", ] ================================================ FILE: backend/apps/engine/services/fingerprints/arl_service.py ================================================ """ARL 指纹管理 Service 实现 ARL 格式指纹的校验、转换和导出逻辑 支持 YAML 格式的导入导出 """ import logging import yaml from apps.engine.models import ARLFingerprint from .base import BaseFingerprintService logger = logging.getLogger(__name__) class ARLFingerprintService(BaseFingerprintService): """ARL 指纹管理服务（继承基类，实现 ARL 特定逻辑）""" model = ARLFingerprint def validate_fingerprint(self, item: dict) -> bool: """ 校验单条 ARL 指纹 校验规则： - name 字段必须存在且非空 - rule 字段必须存在且非空 Args: item: 单条指纹数据 Returns: bool: 是否有效 """ name = item.get('name', '') rule = item.get('rule', '') return bool(name and str(name).strip()) and bool(rule and str(rule).strip()) def to_model_data(self, item: dict) -> dict: """ 转换 ARL YAML 格式为 Model 字段 Args: item: 原始 ARL YAML 数据 Returns: dict: Model 字段数据 """ return { 'name': str(item.get('name', '')).strip(), 'rule': str(item.get('rule', '')).strip(), } def get_export_data(self) -> list: """ 获取导出数据（ARL 格式 - 数组，用于 YAML 导出） Returns: list: ARL 格式的数据（数组格式） [ {"name": "...", "rule": "..."}, ... ] """ fingerprints = self.model.objects.all() return [ { 'name': fp.name, 'rule': fp.rule, } for fp in fingerprints ] def export_to_yaml(self, output_path: str) -> int: """ 导出所有指纹到 YAML 文件 Args: output_path: 输出文件路径 Returns: int: 导出的指纹数量 """ data = self.get_export_data() with open(output_path, 'w', encoding='utf-8') as f: yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False) count = len(data) logger.info("导出 ARL 指纹文件: %s, 数量: %d", output_path, count) return count def parse_yaml_import(self, yaml_content: str) -> list: """ 解析 YAML 格式的导入内容 Args: yaml_content: YAML 格式的字符串内容 Returns: list: 解析后的指纹数据列表 Raises: ValueError: 当 YAML 格式无效时 """ try: data = yaml.safe_load(yaml_content) if not isinstance(data, list): raise ValueError("ARL YAML 文件必须是数组格式") return data except yaml.YAMLError as e: raise ValueError(f"无效的 YAML 格式: {e}") ================================================ FILE: backend/apps/engine/services/fingerprints/base.py ================================================ """指纹管理基类 Service 提供通用的批量操作和缓存逻辑，供 EHole/Goby/Wappalyzer 等子类继承 """ import json import logging from typing import Any logger = logging.getLogger(__name__) class BaseFingerprintService: """指纹管理基类 Service，提供通用的批量操作和缓存逻辑""" model = None # 子类必须指定 BATCH_SIZE = 1000 # 每批处理数量 def validate_fingerprint(self, item: dict) -> bool: """ 校验单条指纹，子类必须实现 Args: item: 单条指纹数据 Returns: bool: 是否有效 """ raise NotImplementedError("子类必须实现 validate_fingerprint 方法") def validate_fingerprints(self, raw_data: list) -> tuple[list, list]: """ 批量校验指纹数据 Args: raw_data: 原始指纹数据列表 Returns: tuple: (valid_items, invalid_items) """ valid, invalid = [], [] for item in raw_data: if self.validate_fingerprint(item): valid.append(item) else: invalid.append(item) return valid, invalid def to_model_data(self, item: dict) -> dict: """ 转换为 Model 字段，子类必须实现 Args: item: 原始指纹数据 Returns: dict: Model 字段数据 """ raise NotImplementedError("子类必须实现 to_model_data 方法") def bulk_create(self, fingerprints: list) -> int: """ 批量创建指纹记录（已校验的数据） Args: fingerprints: 已校验的指纹数据列表 Returns: int: 成功创建数量 """ if not fingerprints: return 0 objects = [self.model(**self.to_model_data(item)) for item in fingerprints] created = self.model.objects.bulk_create(objects, ignore_conflicts=True) return len(created) def batch_create_fingerprints(self, raw_data: list) -> dict: """ 完整流程：分批校验 + 批量创建 Args: raw_data: 原始指纹数据列表 Returns: dict: {'created': int, 'failed': int} """ total_created = 0 total_failed = 0 for i in range(0, len(raw_data), self.BATCH_SIZE): batch = raw_data[i:i + self.BATCH_SIZE] valid, invalid = self.validate_fingerprints(batch) total_created += self.bulk_create(valid) total_failed += len(invalid) logger.info( "批量创建指纹完成: created=%d, failed=%d, total=%d", total_created, total_failed, len(raw_data) ) return {'created': total_created, 'failed': total_failed} def get_export_data(self) -> dict: """ 获取导出数据，子类必须实现 Returns: dict: 导出的 JSON 数据 """ raise NotImplementedError("子类必须实现 get_export_data 方法") def export_to_file(self, output_path: str) -> int: """ 导出所有指纹到 JSON 文件 Args: output_path: 输出文件路径 Returns: int: 导出的指纹数量 """ data = self.get_export_data() with open(output_path, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False) count = len(data.get('fingerprint', [])) logger.info("导出指纹文件: %s, 数量: %d", output_path, count) return count def get_fingerprint_version(self) -> str: """ 获取指纹库版本标识（用于缓存校验） Returns: str: 版本标识，格式 "{count}_{latest_timestamp}" 版本变化场景： - 新增记录 → count 变化 - 删除记录 → count 变化 - 清空全部 → count 变为 0 """ count = self.model.objects.count() latest = self.model.objects.order_by('-created_at').first() latest_ts = int(latest.created_at.timestamp()) if latest else 0 return f"{count}_{latest_ts}" ================================================ FILE: backend/apps/engine/services/fingerprints/ehole.py ================================================ """EHole 指纹管理 Service 实现 EHole 格式指纹的校验、转换和导出逻辑 """ from apps.engine.models import EholeFingerprint from .base import BaseFingerprintService class EholeFingerprintService(BaseFingerprintService): """EHole 指纹管理服务（继承基类，实现 EHole 特定逻辑）""" model = EholeFingerprint def validate_fingerprint(self, item: dict) -> bool: """ 校验单条 EHole 指纹 校验规则： - cms 字段必须存在且非空 - keyword 字段必须是数组 Args: item: 单条指纹数据 Returns: bool: 是否有效 """ cms = item.get('cms', '') keyword = item.get('keyword') return bool(cms and str(cms).strip()) and isinstance(keyword, list) def to_model_data(self, item: dict) -> dict: """ 转换 EHole JSON 格式为 Model 字段 字段映射： - isImportant (JSON) → is_important (Model) Args: item: 原始 EHole JSON 数据 Returns: dict: Model 字段数据 """ return { 'cms': str(item.get('cms', '')).strip(), 'method': item.get('method', 'keyword'), 'location': item.get('location', 'body'), 'keyword': item.get('keyword', []), 'is_important': item.get('isImportant', False), 'type': item.get('type', '-'), } def get_export_data(self) -> dict: """ 获取导出数据（EHole JSON 格式） Returns: dict: EHole 格式的 JSON 数据 { "fingerprint": [ {"cms": "...", "method": "...", "location": "...", "keyword": [...], "isImportant": false, "type": "..."}, ... ], "version": "1000_1703836800" } """ fingerprints = self.model.objects.all() data = [] for fp in fingerprints: data.append({ 'cms': fp.cms, 'method': fp.method, 'location': fp.location, 'keyword': fp.keyword, 'isImportant': fp.is_important, # 转回 JSON 格式 'type': fp.type, }) return { 'fingerprint': data, 'version': self.get_fingerprint_version(), } ================================================ FILE: backend/apps/engine/services/fingerprints/fingerprinthub_service.py ================================================ """FingerPrintHub 指纹管理 Service 实现 FingerPrintHub 格式指纹的校验、转换和导出逻辑 """ from apps.engine.models import FingerPrintHubFingerprint from .base import BaseFingerprintService class FingerPrintHubFingerprintService(BaseFingerprintService): """FingerPrintHub 指纹管理服务（继承基类，实现 FingerPrintHub 特定逻辑）""" model = FingerPrintHubFingerprint def validate_fingerprint(self, item: dict) -> bool: """ 校验单条 FingerPrintHub 指纹 校验规则： - id 字段必须存在且非空 - info 字段必须存在且包含 name - http 字段必须是数组 Args: item: 单条指纹数据 Returns: bool: 是否有效 """ fp_id = item.get('id', '') info = item.get('info', {}) http = item.get('http') if not fp_id or not str(fp_id).strip(): return False if not isinstance(info, dict) or not info.get('name'): return False if not isinstance(http, list): return False return True def to_model_data(self, item: dict) -> dict: """ 转换 FingerPrintHub JSON 格式为 Model 字段 字段映射（嵌套结构转扁平）： - id (JSON) → fp_id (Model) - info.name (JSON) → name (Model) - info.author (JSON) → author (Model) - info.tags (JSON) → tags (Model) - info.severity (JSON) → severity (Model) - info.metadata (JSON) → metadata (Model) - http (JSON) → http (Model) - _source_file (JSON) → source_file (Model) Args: item: 原始 FingerPrintHub JSON 数据 Returns: dict: Model 字段数据 """ info = item.get('info', {}) return { 'fp_id': str(item.get('id', '')).strip(), 'name': str(info.get('name', '')).strip(), 'author': info.get('author', ''), 'tags': info.get('tags', ''), 'severity': info.get('severity', 'info'), 'metadata': info.get('metadata', {}), 'http': item.get('http', []), 'source_file': item.get('_source_file', ''), } def get_export_data(self) -> list: """ 获取导出数据（FingerPrintHub JSON 格式 - 数组） Returns: list: FingerPrintHub 格式的 JSON 数据（数组格式） [ { "id": "...", "info": {"name": "...", "author": "...", "tags": "...", "severity": "...", "metadata": {...}}, "http": [...], "_source_file": "..." }, ... ] """ fingerprints = self.model.objects.all() data = [] for fp in fingerprints: item = { 'id': fp.fp_id, 'info': { 'name': fp.name, 'author': fp.author, 'tags': fp.tags, 'severity': fp.severity, 'metadata': fp.metadata, }, 'http': fp.http, } # 只有当 source_file 非空时才添加该字段 if fp.source_file: item['_source_file'] = fp.source_file data.append(item) return data ================================================ FILE: backend/apps/engine/services/fingerprints/fingers_service.py ================================================ """Fingers 指纹管理 Service 实现 Fingers 格式指纹的校验、转换和导出逻辑 """ from apps.engine.models import FingersFingerprint from .base import BaseFingerprintService class FingersFingerprintService(BaseFingerprintService): """Fingers 指纹管理服务（继承基类，实现 Fingers 特定逻辑）""" model = FingersFingerprint def validate_fingerprint(self, item: dict) -> bool: """ 校验单条 Fingers 指纹 校验规则： - name 字段必须存在且非空 - rule 字段必须是数组 Args: item: 单条指纹数据 Returns: bool: 是否有效 """ name = item.get('name', '') rule = item.get('rule') return bool(name and str(name).strip()) and isinstance(rule, list) def to_model_data(self, item: dict) -> dict: """ 转换 Fingers JSON 格式为 Model 字段 字段映射： - default_port (JSON) → default_port (Model) Args: item: 原始 Fingers JSON 数据 Returns: dict: Model 字段数据 """ return { 'name': str(item.get('name', '')).strip(), 'link': item.get('link', ''), 'rule': item.get('rule', []), 'tag': item.get('tag', []), 'focus': item.get('focus', False), 'default_port': item.get('default_port', []), } def get_export_data(self) -> list: """ 获取导出数据（Fingers JSON 格式 - 数组） Returns: list: Fingers 格式的 JSON 数据（数组格式） [ {"name": "...", "link": "...", "rule": [...], "tag": [...], "focus": false, "default_port": [...]}, ... ] """ fingerprints = self.model.objects.all() data = [] for fp in fingerprints: item = { 'name': fp.name, 'link': fp.link, 'rule': fp.rule, 'tag': fp.tag, } # 只有当 focus 为 True 时才添加该字段（保持与原始格式一致） if fp.focus: item['focus'] = fp.focus # 只有当 default_port 非空时才添加该字段 if fp.default_port: item['default_port'] = fp.default_port data.append(item) return data ================================================ FILE: backend/apps/engine/services/fingerprints/goby.py ================================================ """Goby 指纹管理 Service 实现 Goby 格式指纹的校验、转换和导出逻辑 """ from apps.engine.models import GobyFingerprint from .base import BaseFingerprintService class GobyFingerprintService(BaseFingerprintService): """Goby 指纹管理服务（继承基类，实现 Goby 特定逻辑）""" model = GobyFingerprint def validate_fingerprint(self, item: dict) -> bool: """ 校验单条 Goby 指纹 支持两种格式： 1. 标准格式: {"name": "...", "logic": "...", "rule": [...]} 2. JSONL 格式: {"product": "...", "rule": "..."} Args: item: 单条指纹数据 Returns: bool: 是否有效 """ # 标准格式：name + logic + rule(数组) name = item.get('name', '') if name and item.get('logic') is not None and isinstance(item.get('rule'), list): return bool(str(name).strip()) # JSONL 格式：product + rule(字符串) product = item.get('product', '') rule = item.get('rule', '') return bool(product and str(product).strip() and rule and str(rule).strip()) def to_model_data(self, item: dict) -> dict: """ 转换 Goby JSON 格式为 Model 字段 支持两种输入格式： 1. 标准格式: {"name": "...", "logic": "...", "rule": [...]} 2. JSONL 格式: {"product": "...", "rule": "..."} Args: item: 原始 Goby JSON 数据 Returns: dict: Model 字段数据 """ # 标准格式 if 'name' in item and isinstance(item.get('rule'), list): return { 'name': str(item.get('name', '')).strip(), 'logic': item.get('logic', ''), 'rule': item.get('rule', []), } # JSONL 格式：将 rule 字符串转为单元素数组 return { 'name': str(item.get('product', '')).strip(), 'logic': 'or', # JSONL 格式默认 or 逻辑 'rule': [item.get('rule', '')] if item.get('rule') else [], } def get_export_data(self) -> list: """ 获取导出数据（Goby JSON 格式 - 数组） Returns: list: Goby 格式的 JSON 数据（数组格式） [ {"name": "...", "logic": "...", "rule": [...]}, ... ] """ fingerprints = self.model.objects.all() return [ { 'name': fp.name, 'logic': fp.logic, 'rule': fp.rule, } for fp in fingerprints ] ================================================ FILE: backend/apps/engine/services/fingerprints/wappalyzer.py ================================================ """Wappalyzer 指纹管理 Service 实现 Wappalyzer 格式指纹的校验、转换和导出逻辑 """ from apps.engine.models import WappalyzerFingerprint from .base import BaseFingerprintService class WappalyzerFingerprintService(BaseFingerprintService): """Wappalyzer 指纹管理服务（继承基类，实现 Wappalyzer 特定逻辑）""" model = WappalyzerFingerprint def validate_fingerprint(self, item: dict) -> bool: """ 校验单条 Wappalyzer 指纹 校验规则： - name 字段必须存在且非空（从 apps 对象的 key 传入） Args: item: 单条指纹数据 Returns: bool: 是否有效 """ name = item.get('name', '') return bool(name and str(name).strip()) def to_model_data(self, item: dict) -> dict: """ 转换 Wappalyzer JSON 格式为 Model 字段 字段映射： - scriptSrc (JSON) → script_src (Model) Args: item: 原始 Wappalyzer JSON 数据 Returns: dict: Model 字段数据 """ return { 'name': str(item.get('name', '')).strip(), 'cats': item.get('cats', []), 'cookies': item.get('cookies', {}), 'headers': item.get('headers', {}), 'script_src': item.get('scriptSrc', []), # JSON: scriptSrc -> Model: script_src 'js': item.get('js', []), 'implies': item.get('implies', []), 'meta': item.get('meta', {}), 'html': item.get('html', []), 'description': item.get('description', ''), 'website': item.get('website', ''), 'cpe': item.get('cpe', ''), } def get_export_data(self) -> dict: """ 获取导出数据（Wappalyzer JSON 格式） Returns: dict: Wappalyzer 格式的 JSON 数据 { "apps": { "AppName": {"cats": [...], "cookies": {...}, ...}, ... } } """ fingerprints = self.model.objects.all() apps = {} for fp in fingerprints: app_data = {} if fp.cats: app_data['cats'] = fp.cats if fp.cookies: app_data['cookies'] = fp.cookies if fp.headers: app_data['headers'] = fp.headers if fp.script_src: app_data['scriptSrc'] = fp.script_src # Model: script_src -> JSON: scriptSrc if fp.js: app_data['js'] = fp.js if fp.implies: app_data['implies'] = fp.implies if fp.meta: app_data['meta'] = fp.meta if fp.html: app_data['html'] = fp.html if fp.description: app_data['description'] = fp.description if fp.website: app_data['website'] = fp.website if fp.cpe: app_data['cpe'] = fp.cpe apps[fp.name] = app_data return {'apps': apps} ================================================ FILE: backend/apps/engine/services/nuclei_template_repo_service.py ================================================ """Nuclei 模板仓库业务 Service 层 本模块封装 Nuclei 多仓库的核心业务逻辑： 1. Git 同步（refresh_repo） - 首次调用：git clone --depth 1 - 后续调用：git pull --ff-only - 自动更新 last_synced_at 和 local_path 2. 模板只读浏览 - get_template_tree: 获取目录树结构 - get_template_content: 获取单个模板文件内容 注意：仓库的 CRUD 操作由 DRF ModelViewSet 默认实现，不在 Service 层处理。 调用链路： View.refresh() → Service.refresh_repo() → subprocess(git) View.templates_tree() → Service.get_template_tree() → Repository.get_tree() View.templates_content() → Service.get_template_content() → Repository.get_file_content() 配置项（settings.py）： NUCLEI_TEMPLATES_REPOS_BASE_DIR: 仓库本地存储根目录，默认 /opt/xingrin/nuclei-repos """ from __future__ import annotations import logging import shutil from pathlib import Path from typing import Any, Dict, List, Optional from django.conf import settings from django.core.exceptions import ValidationError from django.utils import timezone from apps.engine.repositories import NucleiTemplateRepository, TemplateFileRepository logger = logging.getLogger(__name__) class NucleiTemplateRepoService: """Nuclei 多仓库业务 Service 负责 Git 同步和模板只读浏览逻辑。 通过依赖注入 Repository，方便单元测试。 Attributes: repo: NucleiTemplateRepository 实例，用于 ORM 操作 """ def __init__(self, repository: NucleiTemplateRepository | None = None) -> None: """初始化 Service Args: repository: 可选，注入 NucleiTemplateRepository 实例（用于测试） """ self.repo = repository or NucleiTemplateRepository() # ==================== 内部辅助方法 ==================== def _get_repo_obj(self, repo_id: int): """获取仓库对象 Args: repo_id: 仓库 ID Returns: NucleiTemplateRepo 对象 Raises: ValidationError: 仓库不存在时抛出 """ obj = self.repo.get_by_id(repo_id) if not obj: raise ValidationError("仓库不存在") return obj def _get_base_dir(self) -> Path: """获取仓库本地存储根目录 从 settings.NUCLEI_TEMPLATES_REPOS_BASE_DIR 读取，默认 /opt/xingrin/nuclei-repos。 如果目录不存在会自动创建。 Returns: 根目录 Path 对象 """ base_dir = getattr(settings, "NUCLEI_TEMPLATES_REPOS_BASE_DIR", "/opt/xingrin/nuclei-repos") path = Path(base_dir).resolve() path.mkdir(parents=True, exist_ok=True) return path def remove_local_path_dir(self, repo_obj) -> None: """删除与仓库关联的本地目录（如果存在） 只会删除位于 NUCLEI_TEMPLATES_REPOS_BASE_DIR 下的目录，避免误删其它路径。 Args: repo_obj: NucleiTemplateRepo 实例 """ raw = (getattr(repo_obj, "local_path", "") or "").strip() if not raw: return base_dir = self._get_base_dir() path = Path(raw).expanduser().resolve() # 仅允许删除 base_dir 下的子目录 try: path.relative_to(base_dir) except ValueError: return if not path.exists() or not path.is_dir(): return try: shutil.rmtree(path) except OSError: # 删除失败时记录日志但不阻塞主流程 logger.warning("删除 nuclei 本地目录失败: %s", path, exc_info=True) def ensure_local_path(self, repo_obj) -> Path: """确保仓库的本地路径存在并返回 Path 规则： - 如果 repo.local_path 已有值： - 展开 ~ 并 resolve() 为绝对路径 - 如果尚未设置： - 使用 baseDir/nameSlug 生成目录，例如： /opt/xingrin/nuclei-repos/di-san-fang-mo-ban - 如果 name 不可 slugify，则退化为 repo-<id> 任何情况下都会保证目标目录已创建。 Args: repo_obj: NucleiTemplateRepo 实例 Returns: 本地目录的绝对 Path """ from django.utils.text import slugify # 已有 local_path，直接规范化为绝对路径 if getattr(repo_obj, "local_path", None): path = Path(repo_obj.local_path).expanduser().resolve() else: base_dir = self._get_base_dir() # 根据仓库名称生成 slug，避免中文/空格等问题 raw_name = (repo_obj.name or "").strip() slug = slugify(raw_name) if raw_name else "" if not slug: slug = f"repo-{repo_obj.id}" path = (base_dir / slug).resolve() repo_obj.local_path = str(path) repo_obj.save(update_fields=["local_path"]) path.mkdir(parents=True, exist_ok=True) return path # ==================== Git 同步 ==================== def refresh_repo(self, repo_id: int) -> Dict[str, Any]: """同步仓库（Git clone 或 pull） 根据 local_path 是否存在 .git 目录判断： - 不存在：执行 git clone --depth 1（浅克隆，节省空间） - 存在：执行 git pull --ff-only（快进合并） 同步成功后会更新数据库中的 last_synced_at 和 local_path。 Args: repo_id: 仓库 ID Returns: { "repoId": 1, "action": "clone" | "pull", "localPath": "/opt/xingrin/nuclei-repos/my-templates", "stdout": "...", "stderr": "..." } Raises: ValidationError: 仓库不存在 RuntimeError: Git 命令执行失败 """ import subprocess obj = self._get_repo_obj(repo_id) # 确保本地路径已生成并为绝对路径 local_path = self.ensure_local_path(obj) git_dir = local_path / ".git" cmd: List[str] action: str # 直接使用原始 URL（不再使用 Git 加速） repo_url = obj.repo_url # 判断是 clone 还是 pull if git_dir.is_dir(): # 检查远程地址是否变化 current_remote = subprocess.run( ["git", "-C", str(local_path), "remote", "get-url", "origin"], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) current_url = current_remote.stdout.strip() if current_remote.returncode == 0 else "" # 检查是否需要重新 clone if current_url != repo_url: # 远程地址变化，删除旧目录重新 clone 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) shutil.rmtree(local_path) local_path.mkdir(parents=True, exist_ok=True) cmd = ["git", "clone", "--depth", "1", repo_url, str(local_path)] action = "clone" else: # 已有仓库且地址未变，执行 pull cmd = ["git", "-C", str(local_path), "pull", "--ff-only"] action = "pull" else: # 新仓库，执行 clone if local_path.exists() and not local_path.is_dir(): raise RuntimeError(f"本地路径已存在且不是目录: {local_path}") # --depth 1 浅克隆，只获取最新提交，节省空间和时间 cmd = ["git", "clone", "--depth", "1", repo_url, str(local_path)] action = "clone" # 执行 Git 命令 result = subprocess.run( cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) # 检查执行结果 if result.returncode != 0: logger.warning("nuclei 模板仓库 %s git %s 失败: %s", obj.id, action, result.stderr.strip()) raise RuntimeError("Git 同步失败") # 获取当前 commit hash commit_result = subprocess.run( ["git", "-C", str(local_path), "rev-parse", "HEAD"], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) commit_hash = commit_result.stdout.strip() if commit_result.returncode == 0 else "" # 同步成功，更新数据库（包含 commit_hash） obj.last_synced_at = timezone.now() obj.local_path = str(local_path) obj.commit_hash = commit_hash obj.save(update_fields=["last_synced_at", "local_path", "commit_hash"]) logger.info( "nuclei 模板仓库 %s git %s 成功, commit=%s", obj.id, action, commit_hash[:8] if commit_hash else "N/A" ) return { "repoId": obj.id, "action": action, "localPath": str(local_path), "commitHash": commit_hash, "stdout": result.stdout, "stderr": result.stderr, } # ==================== 模板树与内容（只读） ==================== def _get_fs_repo(self, repo_id: int) -> TemplateFileRepository: """获取文件系统 Repository 实例 Args: repo_id: 仓库 ID Returns: TemplateFileRepository 实例 Raises: ValidationError: 仓库不存在 """ obj = self._get_repo_obj(repo_id) # 确保本地路径已生成并为绝对路径 root = self.ensure_local_path(obj) # 传入绝对路径给 Repository return TemplateFileRepository(root=root) def get_template_tree(self, repo_id: int) -> List[Dict[str, Any]]: """获取仓库的模板目录树 Args: repo_id: 仓库 ID Returns: 目录树结构，详见 TemplateFileRepository.get_tree() """ fs_repo = self._get_fs_repo(repo_id) return fs_repo.get_tree() def get_template_content(self, repo_id: int, rel_path: str) -> Optional[Dict[str, Any]]: """获取单个模板文件内容 Args: repo_id: 仓库 ID rel_path: 相对路径，如 "http/cves/CVE-2021-1234.yaml" Returns: 文件内容，详见 TemplateFileRepository.get_file_content() 文件不存在或读取失败返回 None """ fs_repo = self._get_fs_repo(repo_id) return fs_repo.get_file_content(rel_path) __all__ = ["NucleiTemplateRepoService"] ================================================ FILE: backend/apps/engine/services/task_distributor.py ================================================ """ 负载感知任务分发器 根据 Worker 负载动态分发任务，支持本地和远程 Worker。 核心逻辑： 1. 查询所有在线 Worker 的负载（从心跳数据） 2. 选择负载最低的 Worker（可能是本地或远程） 3. 本地 Worker：直接执行 docker run 4. 远程 Worker：通过 SSH 执行 docker run 5. 任务执行完自动销毁容器（--rm） 镜像版本管理： - 版本锁定：使用 settings.IMAGE_TAG 确保 server 和 worker 版本一致 - 预拉取策略：安装时预拉取镜像，执行时使用 --pull=missing - 本地开发：可通过 TASK_EXECUTOR_IMAGE 环境变量指向本地镜像 环境变量注入： - Worker 容器不使用 env_file，通过 docker run -e 动态注入 - 只注入 SERVER_URL，容器启动后从配置中心获取完整配置 - 本地 Worker：SERVER_URL = http://server:{port}（Docker 内部网络） - 远程 Worker：SERVER_URL = http://{public_host}:{port}（公网地址） 任务启动流程： 1. Server 调用 execute_scan_flow() 等方法提交任务 2. select_best_worker() 从 Redis 读取心跳数据，选择负载最低的节点 3. _build_docker_command() 构建完整的 docker run 命令： - 设置网络（本地加入 Docker 网络，远程不指定） - 注入环境变量（-e SERVER_URL=...） - 挂载结果和日志目录（-v） - 指定执行脚本（python -m apps.scan.scripts.xxx） 4. _execute_docker_command() 执行命令： - 本地：subprocess.run() 直接执行 - 远程：paramiko SSH 执行 5. docker run -d 立即返回容器 ID，任务在后台执行 特点： - 负载感知：任务优先分发到最空闲的机器 - 统一调度：本地和远程 Worker 使用相同的选择逻辑 - 资源隔离：每个任务独立容器 - 按需创建：空闲时零占用 - 版本一致：所有节点使用相同版本的 worker 镜像 """ import logging import time from typing import Optional, Dict, Any import paramiko from django.conf import settings from apps.engine.models import WorkerNode logger = logging.getLogger(__name__) class TaskDistributor: """ 负载感知任务分发器 根据 Worker 负载自动选择最优节点执行任务。 - 本地 Worker (is_local=True)：直接执行 docker 命令 - 远程 Worker (is_local=False)：通过 SSH 执行 docker 命令 负载均衡策略： - 心跳间隔：3 秒（Agent 上报到 Redis） - 任务间隔：6 秒（确保心跳已更新） - 高负载阈值：85%（CPU 或内存超过则跳过） - 在线判断：Redis TTL（15秒过期视为离线） """ # 上次任务提交时间（类级别，所有实例共享） _last_submit_time: float = 0 def __init__(self): self.docker_image = settings.TASK_EXECUTOR_IMAGE if not self.docker_image: raise ValueError("TASK_EXECUTOR_IMAGE 未配置，请确保 IMAGE_TAG 环境变量已设置") # 统一使用 /opt/xingrin 下的路径 self.logs_mount = "/opt/xingrin/logs" self.submit_interval = getattr(settings, 'TASK_SUBMIT_INTERVAL', 5) def get_online_workers(self) -> list[WorkerNode]: """ 获取所有在线的 Worker 判断条件： - status in ('online', 'offline') 表示已部署 - Redis 中有心跳数据（TTL 未过期） """ from apps.engine.services.worker_load_service import worker_load_service # 1. 获取所有已部署的节点（online/offline 表示已部署） workers = WorkerNode.objects.filter(status__in=['online', 'offline']) # 2. 过滤出 Redis 中有心跳数据的（在线） online_workers = [] for worker in workers: if worker_load_service.is_online(worker.id): online_workers.append(worker) return online_workers def select_best_worker(self) -> Optional[WorkerNode]: """ 选择负载最低的在线 Worker 选择策略： - 从 Redis 读取实时负载数据 - CPU 权重 70%，内存权重 30% - 排除 CPU > 85% 或 内存 > 85% 的机器 Returns: 最优 Worker，如果没有可用的返回 None """ from apps.engine.services.worker_load_service import worker_load_service workers = self.get_online_workers() if not workers: logger.warning("没有可用的在线 Worker") return None # 从 Redis 批量获取负载数据 worker_ids = [w.id for w in workers] loads = worker_load_service.get_all_loads(worker_ids) # 计算每个 Worker 的负载分数 scored_workers = [] high_load_workers = [] # 高负载 Worker（降级备选） for worker in workers: # 从 Redis 获取负载数据 load = loads.get(worker.id) if not load: # Redis 无数据，跳过该节点（不应该发生，因为 get_online_workers 已过滤） logger.warning(f"Worker {worker.name} 无负载数据，跳过") continue cpu = load.get('cpu', 0) mem = load.get('mem', 0) # 加权分数（越低越好） score = cpu * 0.7 + mem * 0.3 # 区分正常和高负载（阈值降到 85%，更保守） if cpu > 85 or mem > 85: high_load_workers.append((worker, score, cpu, mem)) logger.debug( "高负载 Worker: %s (CPU: %.1f%%, MEM: %.1f%%)", worker.name, cpu, mem ) else: scored_workers.append((worker, score, cpu, mem)) # 降级策略：如果没有正常负载的，循环等待后重新检测 if not scored_workers: if high_load_workers: # 高负载等待参数（默认每 60 秒检测一次，最多 10 次） high_load_wait = getattr(settings, 'HIGH_LOAD_WAIT_SECONDS', 60) high_load_max_retries = getattr(settings, 'HIGH_LOAD_MAX_RETRIES', 10) # 开始等待前发送高负载通知 high_load_workers.sort(key=lambda x: x[1]) _, _, first_cpu, first_mem = high_load_workers[0] from apps.common.signals import all_workers_high_load all_workers_high_load.send( sender=self.__class__, worker_name="所有节点", cpu=first_cpu, mem=first_mem ) for retry in range(high_load_max_retries): logger.warning( "所有 Worker 高负载，等待 %d 秒后重试... (%d/%d)", high_load_wait, retry + 1, high_load_max_retries ) time.sleep(high_load_wait) # 重新获取负载数据 loads = worker_load_service.get_all_loads(worker_ids) # 重新评估 scored_workers = [] high_load_workers = [] for worker in workers: load = loads.get(worker.id) if not load: continue cpu = load.get('cpu', 0) mem = load.get('mem', 0) score = cpu * 0.7 + mem * 0.3 if cpu > 85 or mem > 85: high_load_workers.append((worker, score, cpu, mem)) else: scored_workers.append((worker, score, cpu, mem)) # 如果有正常负载的 Worker，跳出循环 if scored_workers: logger.info("检测到正常负载 Worker，结束等待") break # 超时或仍然高负载，选择负载最低的 if not scored_workers and high_load_workers: high_load_workers.sort(key=lambda x: x[1]) best_worker, _, cpu, mem = high_load_workers[0] logger.warning( "等待超时，强制分发到高负载 Worker: %s (CPU: %.1f%%, MEM: %.1f%%)", best_worker.name, cpu, mem ) return best_worker return best_worker else: logger.warning("没有可用的 Worker") return None # 选择分数最低的 scored_workers.sort(key=lambda x: x[1]) best_worker, score, cpu, mem = scored_workers[0] logger.info( "选择 Worker: %s (CPU: %.1f%%, MEM: %.1f%%, Score: %.1f)", best_worker.name, cpu, mem, score ) return best_worker def _wait_for_submit_interval(self): """ 等待任务提交间隔（后台线程中执行，不阻塞 API） 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。 如果距上次提交已超过间隔，则不等待。 """ if TaskDistributor._last_submit_time > 0: elapsed = time.time() - TaskDistributor._last_submit_time if elapsed < self.submit_interval: time.sleep(self.submit_interval - elapsed) TaskDistributor._last_submit_time = time.time() def _build_docker_command( self, worker: WorkerNode, script_module: str, script_args: Dict[str, Any], ) -> str: """ 构建 docker run 命令 容器只需要 SERVER_URL，启动后从配置中心获取完整配置。 Args: worker: 目标 Worker（用于区分本地/远程网络） script_module: 脚本模块路径（如 apps.scan.scripts.run_initiate_scan） script_args: 脚本参数（会转换为命令行参数） Returns: 完整的 docker run 命令 """ import shlex # 根据 Worker 类型确定网络和 Server 地址 if worker.is_local: # 本地：加入 Docker 网络，使用内部服务名 network_arg = f"--network {settings.DOCKER_NETWORK_NAME}" server_url = f"http://server:{settings.SERVER_PORT}" else: # 远程：通过 Nginx 反向代理访问（HTTPS，不直连 8888 端口） network_arg = "" server_url = f"https://{settings.PUBLIC_HOST}:{settings.PUBLIC_PORT}" # 挂载路径（统一挂载 /opt/xingrin，扫描工具在 /opt/xingrin-tools/bin 不受影响） host_xingrin_dir = "/opt/xingrin" # 环境变量：SERVER_URL + IS_LOCAL，其他配置容器启动时从配置中心获取 # IS_LOCAL 用于 Worker 向配置中心声明身份，决定返回的数据库地址 # Prefect 本地模式配置：启用 ephemeral server（本地临时服务器） is_local_str = "true" if worker.is_local else "false" env_vars = [ f"-e SERVER_URL={shlex.quote(server_url)}", f"-e IS_LOCAL={is_local_str}", f"-e WORKER_API_KEY={shlex.quote(settings.WORKER_API_KEY)}", # Worker API 认证密钥 "-e PREFECT_HOME=/tmp/.prefect", # 设置 Prefect 数据目录到可写位置 "-e PREFECT_SERVER_EPHEMERAL_ENABLED=true", # 启用 ephemeral server（本地临时服务器） "-e PREFECT_SERVER_EPHEMERAL_STARTUP_TIMEOUT_SECONDS=120", # 增加启动超时时间 "-e PREFECT_SERVER_DATABASE_CONNECTION_URL=sqlite+aiosqlite:////tmp/.prefect/prefect.db", # 使用 /tmp 下的 SQLite "-e PREFECT_LOGGING_LEVEL=WARNING", # 日志级别（减少 DEBUG 噪音） ] # 挂载卷（统一挂载整个 /opt/xingrin 目录） volumes = [ f"-v {host_xingrin_dir}:{host_xingrin_dir}", ] # 构建命令行参数 # 使用 shlex.quote 处理特殊字符，确保参数在 shell 中正确解析 args_str = " ".join([f"--{k}={shlex.quote(str(v))}" for k, v in script_args.items()]) # 日志文件路径（容器内），保留最近 10000 行 log_file = f"{self.logs_mount}/container_{script_module.split('.')[-1]}.log" # 构建内部命令（日志轮转 + 执行脚本） 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' # 完整命令 # 镜像拉取策略：--pull=missing # - 本地 Worker：install.sh 已预拉取镜像，直接使用本地版本 # - 远程 Worker：deploy 时已预拉取镜像，直接使用本地版本 # - 避免每次任务都检查 Docker Hub，提升性能和稳定性 # OOM 优先级：--oom-score-adj=1000 让 Worker 在内存不足时优先被杀 # - 范围 -1000 到 1000，值越大越容易被 OOM Killer 选中 # - 保护 server/nginx/frontend 等核心服务，确保 Web 界面可用 cmd = f'''docker run --rm -d --pull=missing {network_arg} \\ --oom-score-adj=1000 \\ {' '.join(env_vars)} \\ {' '.join(volumes)} \\ {self.docker_image} \\ sh -c "{inner_cmd}"''' return cmd def _execute_docker_command( self, worker: WorkerNode, docker_cmd: str, ) -> tuple[bool, str]: """ 在 Worker 上执行 docker run 命令 docker run -d 会立即返回容器 ID，无需等待任务完成。 Args: worker: 目标 Worker docker_cmd: docker run 命令 Returns: (success, container_id) 元组 """ logger.info("准备执行 Docker 命令 - Worker: %s, Local: %s", worker.name, worker.is_local) logger.info("Docker 命令: %s", docker_cmd[:200] + '...' if len(docker_cmd) > 200 else docker_cmd) if worker.is_local: return self._execute_local_docker(docker_cmd) else: return self._execute_ssh_docker(worker, docker_cmd) def _execute_local_docker( self, docker_cmd: str, ) -> tuple[bool, str]: """ 在本地执行 docker run 命令 docker run -d 立即返回容器 ID。 """ import subprocess logger.info("开始执行本地 Docker 命令...") try: result = subprocess.run( docker_cmd, shell=True, capture_output=True, text=True, ) if result.returncode != 0: logger.error( "本地 Docker 执行失败 - Exit: %d, Stderr: %s, Stdout: %s", result.returncode, result.stderr[:500], result.stdout[:500] ) return False, result.stderr container_id = result.stdout.strip() logger.info("本地 Docker 执行成功 - Container ID: %s", container_id[:12] if container_id else 'N/A') return True, container_id except Exception as e: logger.error("本地 Docker 执行异常: %s", e, exc_info=True) return False, f"执行异常: {e}" def _execute_ssh_docker( self, worker: WorkerNode, docker_cmd: str, ) -> tuple[bool, str]: """ 在远程 Worker 上通过 SSH 执行 docker run 命令 docker run -d 立即返回容器 ID，无需长时间等待。 Args: worker: 目标 Worker docker_cmd: docker run 命令 Returns: (success, container_id) 元组 """ ssh = None logger.info("开始 SSH Docker 执行 - Worker: %s (%s:%d)", worker.name, worker.ip_address, worker.ssh_port) try: ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) # 连接（SSH 连接超时 10 秒足够） ssh.connect( hostname=worker.ip_address, port=worker.ssh_port, username=worker.username, password=worker.password if worker.password else None, timeout=10, ) logger.debug("SSH 连接成功 - Worker: %s", worker.name) # 执行 docker run（-d 模式立即返回） stdin, stdout, stderr = ssh.exec_command(docker_cmd) exit_code = stdout.channel.recv_exit_status() output = stdout.read().decode().strip() error = stderr.read().decode().strip() if exit_code != 0: logger.error( "SSH Docker 执行失败 - Worker: %s, Exit: %d, Stderr: %s, Stdout: %s", worker.name, exit_code, error[:500], output[:500] ) return False, error logger.info("SSH Docker 执行成功 - Worker: %s, Container ID: %s", worker.name, output[:12] if output else 'N/A') return True, output except paramiko.AuthenticationException as e: logger.error("SSH 认证失败 - Worker: %s, Error: %s", worker.name, e) return False, f"认证失败: {e}" except paramiko.SSHException as e: logger.error("SSH 连接错误 - Worker: %s, Error: %s", worker.name, e) return False, f"SSH 错误: {e}" except Exception as e: logger.error("SSH Docker 执行异常 - Worker: %s, Error: %s", worker.name, e) return False, f"执行异常: {e}" finally: if ssh: ssh.close() def execute_scan_flow( self, scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, engine_name: str, scheduled_scan_name: str | None = None, ) -> tuple[bool, str, Optional[str], Optional[int]]: """ 在远程或本地 Worker 上执行扫描 Flow Args: scan_id: 扫描任务 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: 扫描工作目录 engine_name: 引擎名称 scheduled_scan_name: 定时扫描任务名称（可选） Returns: (success, message, container_id, worker_id) 元组 Note: engine_config 由 Flow 内部通过 scan_id 查询数据库获取 """ logger.info("="*60) logger.info("execute_scan_flow 开始") logger.info(" scan_id: %s", scan_id) logger.info(" target_name: %s", target_name) logger.info(" target_id: %s", target_id) logger.info(" scan_workspace_dir: %s", scan_workspace_dir) logger.info(" engine_name: %s", engine_name) logger.info(" docker_image: %s", self.docker_image) logger.info("="*60) # 1. 等待提交间隔（后台线程执行，不阻塞 API） logger.info("等待提交间隔...") self._wait_for_submit_interval() logger.info("提交间隔等待完成") # 2. 选择最佳 Worker worker = self.select_best_worker() if not worker: return False, "没有可用的 Worker", None, None # 3. 构建 docker run 命令 script_args = { 'scan_id': scan_id, 'target_name': target_name, 'target_id': target_id, 'scan_workspace_dir': scan_workspace_dir, 'engine_name': engine_name, } if scheduled_scan_name: script_args['scheduled_scan_name'] = scheduled_scan_name docker_cmd = self._build_docker_command( worker=worker, script_module='apps.scan.scripts.run_initiate_scan', script_args=script_args, ) logger.info( "提交扫描任务到 Worker: %s - Scan ID: %d, Target: %s", worker.name, scan_id, target_name ) # 4. 执行 docker run（本地直接执行，远程通过 SSH） success, output = self._execute_docker_command(worker, docker_cmd) if success: container_id = output[:12] if output else None logger.info( "扫描任务已提交 - Scan ID: %d, Worker: %s, Container: %s", scan_id, worker.name, container_id ) return True, f"任务已提交到 {worker.name}", container_id, worker.id else: logger.error( "扫描任务提交失败 - Scan ID: %d, Worker: %s, Error: %s", scan_id, worker.name, output ) return False, output, None, None def execute_cleanup_on_all_workers( self, retention_days: int = 7, ) -> list[dict]: """ 在所有 Worker 上执行清理任务 Args: retention_days: 保留天数，默认7天 Returns: 各 Worker 的执行结果列表 """ results = [] # 获取所有在线的 Worker workers = self.get_online_workers() if not workers: logger.warning("没有可用的 Worker 执行清理任务") return results logger.info(f"开始在 {len(workers)} 个 Worker 上执行清理任务") for worker in workers: try: # 构建 docker run 命令（清理过期扫描结果目录） script_args = { 'results_dir': '/opt/xingrin/results', 'retention_days': retention_days, } docker_cmd = self._build_docker_command( worker=worker, script_module='apps.scan.scripts.run_cleanup', script_args=script_args, ) # 执行清理命令 success, output = self._execute_docker_command(worker, docker_cmd) results.append({ 'worker_id': worker.id, 'worker_name': worker.name, 'success': success, 'output': output[:500] if output else None, }) if success: logger.info(f"✓ Worker {worker.name} 清理任务已启动") else: logger.warning(f"✗ Worker {worker.name} 清理任务启动失败: {output}") except Exception as e: logger.error(f"Worker {worker.name} 清理任务执行异常: {e}") results.append({ 'worker_id': worker.id, 'worker_name': worker.name, 'success': False, 'error': str(e), }) return results def execute_delete_task( self, task_type: str, ids: list[int], ) -> tuple[bool, str, str | None]: """ 分发删除任务到最优 Worker 统一入口，根据 task_type 选择对应的删除脚本执行。 Args: task_type: 任务类型 ('targets', 'organizations', 'scans') ids: 要删除的 ID 列表 Returns: (success, message, container_id) 元组 """ import json # 映射任务类型到脚本 script_map = { 'targets': 'apps.targets.scripts.run_delete_targets', 'organizations': 'apps.targets.scripts.run_delete_organizations', 'scans': 'apps.scan.scripts.run_delete_scans', } # 映射任务类型到参数名 param_map = { 'targets': 'target_ids', 'organizations': 'organization_ids', 'scans': 'scan_ids', } if task_type not in script_map: return False, f"不支持的任务类型: {task_type}", None # 选择最佳 Worker worker = self.select_best_worker() if not worker: return False, "没有可用的 Worker", None # 构建参数（ID 列表需要 JSON 序列化） script_args = { param_map[task_type]: json.dumps(ids), } # 构建 docker run 命令 docker_cmd = self._build_docker_command( worker=worker, script_module=script_map[task_type], script_args=script_args, ) logger.info( "分发删除任务 - 类型: %s, 数量: %d, Worker: %s", task_type, len(ids), worker.name ) # 执行命令 success, output = self._execute_docker_command(worker, docker_cmd) if success: container_id = output.strip() if output else None logger.info( "✓ 删除任务已分发 - 类型: %s, Container: %s", task_type, container_id ) return True, f"任务已提交到 {worker.name}", container_id else: logger.error( "✗ 删除任务分发失败 - 类型: %s, Error: %s", task_type, output ) return False, output, None # 单例 _distributor: Optional[TaskDistributor] = None def get_task_distributor() -> TaskDistributor: """获取任务分发器单例""" global _distributor if _distributor is None: _distributor = TaskDistributor() return _distributor ================================================ FILE: backend/apps/engine/services/wordlist_service.py ================================================ """Wordlist 业务逻辑服务层（Service） 负责字典文件相关的业务逻辑处理 """ import hashlib import logging import os import time from typing import Optional from django.conf import settings from django.core.exceptions import ValidationError from django.core.files.uploadedfile import UploadedFile from apps.common.utils import safe_calc_file_sha256 from apps.engine.models import Wordlist from apps.engine.repositories import DjangoWordlistRepository logger = logging.getLogger(__name__) class WordlistService: """字典文件业务逻辑服务""" def __init__(self) -> None: """初始化服务，注入 Repository 依赖""" self.repo = DjangoWordlistRepository() def get_queryset(self): """获取字典列表查询集""" return self.repo.get_queryset() def get_wordlist(self, wordlist_id: int) -> Optional[Wordlist]: """根据 ID 获取字典""" return self.repo.get_by_id(wordlist_id) def get_wordlist_by_name(self, name: str) -> Optional[Wordlist]: name = (name or "").strip() if not name: return None return self.repo.get_by_name(name) def create_wordlist( self, name: str, description: str, uploaded_file: UploadedFile, ) -> Wordlist: """创建字典文件记录并保存物理文件""" name = (name or "").strip() if not name: raise ValidationError("字典名称不能为空") if self._exists_by_name(name): raise ValidationError("已存在同名字典") base_dir = getattr(settings, "WORDLISTS_BASE_PATH", "/opt/xingrin/wordlists") storage_dir = base_dir os.makedirs(storage_dir, exist_ok=True) # 按原始文件名保存（做最小清洗），同名上传时覆盖旧文件 original_name = os.path.basename(uploaded_file.name or "wordlist.txt") # 仅清理路径分隔符，保留空格等字符，避免目录穿越 safe_name = original_name.replace("/", "_").replace("\\", "_") or "wordlist.txt" # 如果没有扩展名，补一个 .txt，方便识别 base, ext = os.path.splitext(safe_name) if not ext: safe_name = f"{base}.txt" full_path = os.path.join(storage_dir, safe_name) # 边写边算 hash hasher = hashlib.sha256() with open(full_path, "wb+") as dest: for chunk in uploaded_file.chunks(): dest.write(chunk) hasher.update(chunk) file_hash = hasher.hexdigest() try: file_size = os.path.getsize(full_path) except OSError: file_size = 0 line_count = 0 try: with open(full_path, "rb") as f: for _ in f: line_count += 1 except OSError: logger.warning("统计字典行数失败: %s", full_path) wordlist = self.repo.create( name=name, description=description or "", file_path=full_path, file_size=file_size, line_count=line_count, file_hash=file_hash, ) logger.info( "创建字典: id=%s, name=%s, size=%s, lines=%s, hash=%s", wordlist.id, wordlist.name, wordlist.file_size, wordlist.line_count, wordlist.file_hash[:16] + "..." if wordlist.file_hash else "N/A", ) return wordlist def delete_wordlist(self, wordlist_id: int) -> bool: """删除字典记录及对应的物理文件""" wordlist: Optional[Wordlist] = self.repo.get_by_id(wordlist_id) if not wordlist: return False file_path = wordlist.file_path if file_path: try: if os.path.exists(file_path): os.remove(file_path) except OSError as exc: logger.warning("删除字典文件失败: %s - %s", file_path, exc) return self.repo.delete(wordlist_id) def _exists_by_name(self, name: str) -> bool: """判断是否存在同名的字典""" return self.repo.get_queryset().filter(name=name).exists() def get_wordlist_content(self, wordlist_id: int) -> Optional[str]: """获取字典文件内容""" wordlist = self.repo.get_by_id(wordlist_id) if not wordlist or not wordlist.file_path: return None try: with open(wordlist.file_path, "r", encoding="utf-8", errors="replace") as f: return f.read() except OSError as exc: logger.warning("读取字典文件失败: %s - %s", wordlist.file_path, exc) return None def update_wordlist_content(self, wordlist_id: int, content: str) -> Optional[Wordlist]: """更新字典文件内容并重新计算 hash""" wordlist = self.repo.get_by_id(wordlist_id) if not wordlist or not wordlist.file_path: return None try: # 写入新内容 with open(wordlist.file_path, "w", encoding="utf-8") as f: f.write(content) # 重新计算统计信息 file_size = os.path.getsize(wordlist.file_path) line_count = content.count("\n") + (1 if content and not content.endswith("\n") else 0) file_hash = safe_calc_file_sha256(wordlist.file_path) or "" # 更新记录 wordlist.file_size = file_size wordlist.line_count = line_count wordlist.file_hash = file_hash wordlist.save(update_fields=["file_size", "line_count", "file_hash", "updated_at"]) logger.info( "更新字典内容: id=%s, name=%s, size=%s, lines=%s, hash=%s", wordlist.id, wordlist.name, wordlist.file_size, wordlist.line_count, wordlist.file_hash[:16] + "..." if wordlist.file_hash else "N/A", ) return wordlist except OSError as exc: logger.error("写入字典文件失败: %s - %s", wordlist.file_path, exc) return None __all__ = ["WordlistService"] ================================================ FILE: backend/apps/engine/services/worker_load_service.py ================================================ """ Worker 负载服务（Redis） 存储结构： - worker:load:{worker_id} - Hash: {cpu, mem, updated} - TTL: 60 秒（超时自动清理） """ import logging from typing import Optional, Dict, Any from datetime import datetime import redis from django.conf import settings logger = logging.getLogger(__name__) class WorkerLoadService: """Worker 负载数据服务（基于 Redis）""" # Key 前缀 KEY_PREFIX = "worker:load:" # 数据过期时间（秒）- 超过此时间未更新视为离线 # 心跳间隔 3 秒，TTL 设为 15 秒（5 次心跳容错） TTL_SECONDS = 15 def __init__(self): self._redis: Optional[redis.Redis] = None @property def redis(self) -> redis.Redis: """懒加载 Redis 连接""" if self._redis is None: self._redis = redis.Redis( host=settings.REDIS_HOST, port=settings.REDIS_PORT, db=settings.REDIS_DB, decode_responses=True, ) return self._redis def _key(self, worker_id: int) -> str: """生成 Redis key""" return f"{self.KEY_PREFIX}{worker_id}" def update_load(self, worker_id: int, cpu_percent: float, memory_percent: float) -> bool: """ 更新 Worker 负载数据 Args: worker_id: Worker ID cpu_percent: CPU 使用率 memory_percent: 内存使用率 Returns: 是否成功 """ try: key = self._key(worker_id) data = { "cpu": cpu_percent, "mem": memory_percent, "updated": datetime.now().isoformat(), } # 使用 pipeline 原子操作 pipe = self.redis.pipeline() pipe.hset(key, mapping=data) pipe.expire(key, self.TTL_SECONDS) pipe.execute() return True except Exception as e: logger.error(f"更新 Worker 负载失败 - ID: {worker_id}: {e}") return False def get_load(self, worker_id: int) -> Optional[Dict[str, Any]]: """ 获取 Worker 负载数据 Returns: {"cpu": float, "mem": float, "updated": str} 或 None """ try: key = self._key(worker_id) data = self.redis.hgetall(key) if not data: return None return { "cpu": float(data.get("cpu", 0)), "mem": float(data.get("mem", 0)), "updated": data.get("updated", ""), } except Exception as e: logger.error(f"获取 Worker 负载失败 - ID: {worker_id}: {e}") return None def get_all_loads(self, worker_ids: list[int]) -> Dict[int, Dict[str, Any]]: """ 批量获取 Worker 负载数据 Args: worker_ids: Worker ID 列表 Returns: {worker_id: {"cpu": float, "mem": float}} 字典 """ result = {} try: pipe = self.redis.pipeline() for worker_id in worker_ids: pipe.hgetall(self._key(worker_id)) responses = pipe.execute() for worker_id, data in zip(worker_ids, responses): if data: result[worker_id] = { "cpu": float(data.get("cpu", 0)), "mem": float(data.get("mem", 0)), } except Exception as e: logger.error(f"批量获取 Worker 负载失败: {e}") return result def delete_load(self, worker_id: int) -> bool: """删除 Worker 负载数据""" try: self.redis.delete(self._key(worker_id)) return True except Exception as e: logger.error(f"删除 Worker 负载失败 - ID: {worker_id}: {e}") return False def is_online(self, worker_id: int) -> bool: """检查 Worker 是否在线（Redis 中有数据且未过期）""" return self.redis.exists(self._key(worker_id)) > 0 # 单例 worker_load_service = WorkerLoadService() ================================================ FILE: backend/apps/engine/services/worker_service.py ================================================ """ WorkerNode 业务逻辑服务层（Service） 负责 Worker 节点相关的业务逻辑处理 """ import logging from typing import Any from apps.engine.repositories import DjangoWorkerRepository logger = logging.getLogger(__name__) class WorkerService: """Worker 节点业务逻辑服务""" def __init__(self) -> None: """初始化服务，注入 Repository 依赖""" self.repo = DjangoWorkerRepository() # ==================== 查询 ==================== def get_worker(self, worker_id: int): """根据 ID 获取 Worker 节点""" return self.repo.get_by_id(worker_id) def get_all_workers(self): """获取所有 Worker 节点查询集""" return self.repo.get_all() # ==================== 状态更新 ==================== def update_status(self, worker_id: int, status: str) -> bool: """更新 Worker 节点状态 Args: worker_id: Worker ID status: 状态 (pending/deploying/online/offline) """ return self.repo.update_status(worker_id, status) def delete_worker(self, worker_id: int) -> bool: """删除 Worker 节点""" return self.repo.delete_by_id(worker_id) # ==================== 自注册 ==================== def register_worker(self, name: str, is_local: bool = True): """ 注册 Worker 节点（本地 Worker 自注册用） 幂等操作：已存在则返回现有节点。 Args: name: Worker 名称 is_local: 是否为本地节点 Returns: (WorkerNode, created) 元组 """ return self.repo.get_or_create_by_name( name=name, is_local=is_local ) def remote_uninstall( self, worker_id: int, ip_address: str, ssh_port: int, username: str, password: str | None ) -> tuple[bool, str]: """ 在远程主机上执行卸载脚本 Args: worker_id: Worker ID（仅用于日志） ip_address: SSH 主机地址 ssh_port: SSH 端口 username: SSH 用户名 password: SSH 密码 Returns: (success, message) 元组 """ if not password: return False, "未配置 SSH 密码，跳过远程卸载" try: import paramiko from apps.engine.services.deploy_service import get_uninstall_script ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) logger.info(f"[卸载] 正在连接 {ip_address}...") ssh.connect( ip_address, port=ssh_port, username=username, password=password, timeout=30 ) # 上传卸载脚本 uninstall_script = get_uninstall_script() remote_script_path = '/tmp/xingrin_uninstall.sh' sftp = ssh.open_sftp() with sftp.file(remote_script_path, 'w') as f: f.write(uninstall_script) sftp.chmod(remote_script_path, 0o755) sftp.close() # 执行卸载脚本 logger.info(f"[卸载] 正在执行卸载脚本...") stdin, stdout, stderr = ssh.exec_command(f"bash {remote_script_path}") exit_status = stdout.channel.recv_exit_status() ssh.close() if exit_status == 0: logger.info(f"[卸载] Worker {worker_id} 远程卸载成功") return True, "远程卸载成功" else: error = stderr.read().decode().strip() logger.warning(f"[卸载] Worker {worker_id} 远程卸载失败: {error}") return False, f"远程卸载失败: {error}" except Exception as e: logger.warning(f"[卸载] Worker {worker_id} 远程卸载异常: {e}") return False, f"远程卸载异常: {str(e)}" def execute_remote_command( self, ip_address: str, ssh_port: int, username: str, password: str | None, command: str ) -> tuple[bool, str]: """ 在远程主机上执行命令 Args: ip_address: SSH 主机地址 ssh_port: SSH 端口 username: SSH 用户名 password: SSH 密码 command: 要执行的命令 Returns: (success, message) 元组 """ if not password: return False, "未配置 SSH 密码" try: import paramiko ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) ssh.connect( ip_address, port=ssh_port, username=username, password=password, timeout=30 ) stdin, stdout, stderr = ssh.exec_command(command, timeout=120) exit_status = stdout.channel.recv_exit_status() ssh.close() if exit_status == 0: return True, stdout.read().decode().strip() else: error = stderr.read().decode().strip() return False, error except Exception as e: return False, str(e) __all__ = ["WorkerService"] ================================================ FILE: backend/apps/engine/urls.py ================================================ from django.urls import path, include from rest_framework.routers import DefaultRouter from .views import ( ScanEngineViewSet, WorkerNodeViewSet, WordlistViewSet, NucleiTemplateRepoViewSet, ) from .views.fingerprints import ( EholeFingerprintViewSet, GobyFingerprintViewSet, WappalyzerFingerprintViewSet, FingersFingerprintViewSet, FingerPrintHubFingerprintViewSet, ARLFingerprintViewSet, ) # 创建路由器 router = DefaultRouter() router.register(r"engines", ScanEngineViewSet, basename="engine") router.register(r"workers", WorkerNodeViewSet, basename="worker") router.register(r"wordlists", WordlistViewSet, basename="wordlist") router.register(r"nuclei/repos", NucleiTemplateRepoViewSet, basename="nuclei-repos") # 指纹管理 router.register(r"fingerprints/ehole", EholeFingerprintViewSet, basename="ehole-fingerprint") router.register(r"fingerprints/goby", GobyFingerprintViewSet, basename="goby-fingerprint") router.register(r"fingerprints/wappalyzer", WappalyzerFingerprintViewSet, basename="wappalyzer-fingerprint") router.register(r"fingerprints/fingers", FingersFingerprintViewSet, basename="fingers-fingerprint") router.register(r"fingerprints/fingerprinthub", FingerPrintHubFingerprintViewSet, basename="fingerprinthub-fingerprint") router.register(r"fingerprints/arl", ARLFingerprintViewSet, basename="arl-fingerprint") urlpatterns = [ path("", include(router.urls)), ] ================================================ FILE: backend/apps/engine/views/__init__.py ================================================ """Engine Views""" from .worker_views import WorkerNodeViewSet from .engine_views import ScanEngineViewSet from .wordlist_views import WordlistViewSet from .nuclei_template_repo_views import NucleiTemplateRepoViewSet __all__ = [ "WorkerNodeViewSet", "ScanEngineViewSet", "WordlistViewSet", "NucleiTemplateRepoViewSet", ] ================================================ FILE: backend/apps/engine/views/engine_views.py ================================================ """ 扫描引擎 Views """ from rest_framework import viewsets from apps.engine.serializers import ScanEngineSerializer from apps.engine.services import EngineService class ScanEngineViewSet(viewsets.ModelViewSet): """ 扫描引擎 ViewSet 自动提供完整的 CRUD 操作： - GET /api/engines/ - 获取引擎列表 - POST /api/engines/ - 创建新引擎 - GET /api/engines/{id}/ - 获取引擎详情 - PUT /api/engines/{id}/ - 更新引擎 - PATCH /api/engines/{id}/ - 部分更新引擎 - DELETE /api/engines/{id}/ - 删除引擎 """ serializer_class = ScanEngineSerializer def __init__(self, **kwargs): super().__init__(**kwargs) self.engine_service = EngineService() def get_queryset(self): """通过服务层获取查询集""" return self.engine_service.get_all_engines() ================================================ FILE: backend/apps/engine/views/fingerprints/__init__.py ================================================ """指纹管理 ViewSets 导出所有指纹相关的 ViewSet 类 """ from .base import BaseFingerprintViewSet from .ehole import EholeFingerprintViewSet from .goby import GobyFingerprintViewSet from .wappalyzer import WappalyzerFingerprintViewSet from .fingers import FingersFingerprintViewSet from .fingerprinthub import FingerPrintHubFingerprintViewSet from .arl import ARLFingerprintViewSet __all__ = [ "BaseFingerprintViewSet", "EholeFingerprintViewSet", "GobyFingerprintViewSet", "WappalyzerFingerprintViewSet", "FingersFingerprintViewSet", "FingerPrintHubFingerprintViewSet", "ARLFingerprintViewSet", ] ================================================ FILE: backend/apps/engine/views/fingerprints/arl.py ================================================ """ARL 指纹管理 ViewSet""" import yaml from django.http import HttpResponse from rest_framework.decorators import action from rest_framework.exceptions import ValidationError from apps.common.pagination import BasePagination from apps.common.response_helpers import success_response from apps.engine.models import ARLFingerprint from apps.engine.serializers.fingerprints import ARLFingerprintSerializer from apps.engine.services.fingerprints import ARLFingerprintService from .base import BaseFingerprintViewSet class ARLFingerprintViewSet(BaseFingerprintViewSet): """ARL 指纹管理 ViewSet 继承自 BaseFingerprintViewSet，提供以下 API： 标准 CRUD（ModelViewSet）： - GET / 列表查询（分页） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（继承自基类）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data，支持 YAML） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载（YAML 格式） 智能过滤语法（filter 参数）： - name="word" 模糊匹配 name 字段 - name=="WordPress" 精确匹配 - rule="body=" 按规则内容筛选 """ queryset = ARLFingerprint.objects.all() serializer_class = ARLFingerprintSerializer pagination_class = BasePagination service_class = ARLFingerprintService # 排序配置 ordering_fields = ['created_at', 'name'] ordering = ['-created_at'] # ARL 过滤字段映射 FILTER_FIELD_MAPPING = { 'name': 'name', 'rule': 'rule', } def parse_import_data(self, json_data) -> list: """ 解析 ARL 格式的导入数据（JSON 格式） 输入格式：[{...}, {...}] 数组格式 返回：指纹列表 """ if isinstance(json_data, list): return json_data return [] def get_export_filename(self) -> str: """导出文件名""" return 'ARL.yaml' @action(detail=False, methods=['post']) def import_file(self, request): """ 文件导入（支持 YAML 和 JSON 格式） POST /api/engine/fingerprints/arl/import_file/ 请求格式：multipart/form-data - file: YAML 或 JSON 文件 返回：同 batch_create """ file = request.FILES.get('file') if not file: raise ValidationError('缺少文件') filename = file.name.lower() content = file.read().decode('utf-8') try: if filename.endswith('.yaml') or filename.endswith('.yml'): # YAML 格式 fingerprints = yaml.safe_load(content) else: # JSON 格式 import json fingerprints = json.loads(content) except (yaml.YAMLError, json.JSONDecodeError) as e: raise ValidationError(f'无效的文件格式: {e}') if not isinstance(fingerprints, list): raise ValidationError('文件内容必须是数组格式') if not fingerprints: raise ValidationError('文件中没有有效的指纹数据') result = self.get_service().batch_create_fingerprints(fingerprints) return success_response(data=result) @action(detail=False, methods=['get']) def export(self, request): """ 导出指纹（YAML 格式） GET /api/engine/fingerprints/arl/export/ 返回：YAML 文件下载 """ data = self.get_service().get_export_data() content = yaml.dump(data, allow_unicode=True, default_flow_style=False, sort_keys=False) response = HttpResponse(content, content_type='application/x-yaml') response['Content-Disposition'] = f'attachment; filename="{self.get_export_filename()}"' return response ================================================ FILE: backend/apps/engine/views/fingerprints/base.py ================================================ """指纹管理基类 ViewSet 提供通用的 CRUD 和批量操作，供 EHole/Goby/Wappalyzer 等子类继承 """ import json import logging from django.http import HttpResponse from rest_framework import viewsets, status, filters from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.exceptions import ValidationError from apps.common.pagination import BasePagination from apps.common.response_helpers import success_response from apps.common.utils.filter_utils import apply_filters logger = logging.getLogger(__name__) class BaseFingerprintViewSet(viewsets.ModelViewSet): """指纹管理基类 ViewSet，供 EHole/Goby/Wappalyzer 等子类继承 提供的 API： 标准 CRUD（继承自 ModelViewSet）： - GET / 列表查询（分页 + 智能过滤） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（本类实现）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data，适合 10MB+ 大文件） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载 智能过滤语法（filter 参数）： - field="value" 模糊匹配（包含） - field=="value" 精确匹配 - 多条件空格分隔 AND 关系 - || 或 or OR 关系 子类必须实现： - service_class Service 类 - parse_import_data 解析导入数据格式 - get_export_filename 导出文件名 """ pagination_class = BasePagination filter_backends = [filters.OrderingFilter] ordering = ['-created_at'] # 子类必须指定 service_class = None # Service 类 # 智能过滤字段映射，子类必须覆盖 FILTER_FIELD_MAPPING = {} # JSON 数组字段列表（使用 __contains 查询），子类可覆盖 JSON_ARRAY_FIELDS = [] def get_queryset(self): """支持智能过滤语法""" queryset = super().get_queryset() filter_query = self.request.query_params.get('filter', None) if filter_query: queryset = apply_filters( queryset, filter_query, self.FILTER_FIELD_MAPPING, json_array_fields=getattr(self, 'JSON_ARRAY_FIELDS', []) ) return queryset def get_service(self): """获取 Service 实例""" if self.service_class is None: raise NotImplementedError("子类必须指定 service_class") return self.service_class() def parse_import_data(self, json_data: dict) -> list: """ 解析导入数据，子类必须实现 Args: json_data: 解析后的 JSON 数据 Returns: list: 指纹数据列表 """ raise NotImplementedError("子类必须实现 parse_import_data 方法") def get_export_filename(self) -> str: """ 导出文件名，子类必须实现 Returns: str: 文件名 """ raise NotImplementedError("子类必须实现 get_export_filename 方法") @action(detail=False, methods=['post']) def batch_create(self, request): """ 批量创建指纹规则 POST /api/engine/fingerprints/{type}/batch_create/ 请求格式： { "fingerprints": [ {"cms": "WordPress", "method": "keyword", ...}, ... ] } 返回： { "created": 2, "failed": 0 } """ fingerprints = request.data.get('fingerprints', []) if not fingerprints: raise ValidationError('fingerprints 不能为空') if not isinstance(fingerprints, list): raise ValidationError('fingerprints 必须是数组') result = self.get_service().batch_create_fingerprints(fingerprints) return success_response(data=result, status_code=status.HTTP_201_CREATED) @action(detail=False, methods=['post']) def import_file(self, request): """ 文件导入（适合大文件，10MB+） POST /api/engine/fingerprints/{type}/import_file/ 请求格式：multipart/form-data - file: JSON 文件（支持标准 JSON 和 JSONL 格式） 返回：同 batch_create """ file = request.FILES.get('file') if not file: raise ValidationError('缺少文件') try: content = file.read().decode('utf-8') json_data = self._parse_json_content(content) except json.JSONDecodeError as e: raise ValidationError(f'无效的 JSON 格式: {e}') except UnicodeDecodeError as e: raise ValidationError(f'文件编码错误: {e}') fingerprints = self.parse_import_data(json_data) if not fingerprints: raise ValidationError('文件中没有有效的指纹数据') result = self.get_service().batch_create_fingerprints(fingerprints) return success_response(data=result, status_code=status.HTTP_201_CREATED) def _parse_json_content(self, content: str): """ 解析 JSON 内容，支持标准 JSON 和 JSONL 格式 Args: content: 文件内容字符串 Returns: 解析后的数据（list 或 dict） """ content = content.strip() # 尝试标准 JSON 解析 try: return json.loads(content) except json.JSONDecodeError: pass # 尝试 JSONL 格式（每行一个 JSON 对象） lines = content.split('\n') result = [] for i, line in enumerate(lines): line = line.strip() if not line: continue try: result.append(json.loads(line)) except json.JSONDecodeError as e: raise json.JSONDecodeError(f'第 {i + 1} 行解析失败: {e.msg}', e.doc, e.pos) if not result: raise json.JSONDecodeError('文件为空或格式无效', content, 0) return result @action(detail=False, methods=['post'], url_path='bulk-delete') def bulk_delete(self, request): """ 批量删除 POST /api/engine/fingerprints/{type}/bulk-delete/ 请求格式：{"ids": [1, 2, 3]} 返回：{"deleted": 3} """ ids = request.data.get('ids', []) if not ids: raise ValidationError('ids 不能为空') if not isinstance(ids, list): raise ValidationError('ids 必须是数组') deleted_count = self.queryset.model.objects.filter(id__in=ids).delete()[0] return success_response(data={'deleted': deleted_count}) @action(detail=False, methods=['post'], url_path='delete-all') def delete_all(self, request): """ 删除所有指纹 POST /api/engine/fingerprints/{type}/delete-all/ 返回：{"deleted": 1000} """ deleted_count = self.queryset.model.objects.all().delete()[0] return success_response(data={'deleted': deleted_count}) @action(detail=False, methods=['get']) def export(self, request): """ 导出指纹（前端下载） GET /api/engine/fingerprints/{type}/export/ 返回：JSON 文件下载 """ data = self.get_service().get_export_data() content = json.dumps(data, ensure_ascii=False, indent=2) response = HttpResponse(content, content_type='application/json') response['Content-Disposition'] = f'attachment; filename="{self.get_export_filename()}"' return response ================================================ FILE: backend/apps/engine/views/fingerprints/ehole.py ================================================ """EHole 指纹管理 ViewSet""" from apps.common.pagination import BasePagination from apps.engine.models import EholeFingerprint from apps.engine.serializers.fingerprints import EholeFingerprintSerializer from apps.engine.services.fingerprints import EholeFingerprintService from .base import BaseFingerprintViewSet class EholeFingerprintViewSet(BaseFingerprintViewSet): """EHole 指纹管理 ViewSet 继承自 BaseFingerprintViewSet，提供以下 API： 标准 CRUD（ModelViewSet）： - GET / 列表查询（分页） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（继承自基类）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载 智能过滤语法（filter 参数）： - cms="word" 模糊匹配 cms 字段 - cms=="WordPress" 精确匹配 - type="CMS" 按类型筛选 - method="keyword" 按匹配方式筛选 - location="body" 按匹配位置筛选 """ queryset = EholeFingerprint.objects.all() serializer_class = EholeFingerprintSerializer pagination_class = BasePagination service_class = EholeFingerprintService # 排序配置 ordering_fields = ['created_at', 'cms'] ordering = ['-created_at'] # EHole 过滤字段映射 FILTER_FIELD_MAPPING = { 'cms': 'cms', 'method': 'method', 'location': 'location', 'type': 'type', 'isImportant': 'is_important', } def parse_import_data(self, json_data: dict) -> list: """ 解析 EHole JSON 格式的导入数据 输入格式：{"fingerprint": [...]} 返回：指纹列表 """ return json_data.get('fingerprint', []) def get_export_filename(self) -> str: """导出文件名""" return 'ehole.json' ================================================ FILE: backend/apps/engine/views/fingerprints/fingerprinthub.py ================================================ """FingerPrintHub 指纹管理 ViewSet""" from apps.common.pagination import BasePagination from apps.engine.models import FingerPrintHubFingerprint from apps.engine.serializers.fingerprints import FingerPrintHubFingerprintSerializer from apps.engine.services.fingerprints import FingerPrintHubFingerprintService from .base import BaseFingerprintViewSet class FingerPrintHubFingerprintViewSet(BaseFingerprintViewSet): """FingerPrintHub 指纹管理 ViewSet 继承自 BaseFingerprintViewSet，提供以下 API： 标准 CRUD（ModelViewSet）： - GET / 列表查询（分页） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（继承自基类）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载 智能过滤语法（filter 参数）： - name="word" 模糊匹配 name 字段 - fp_id=="xxx" 精确匹配指纹ID - author="xxx" 按作者筛选 - severity="info" 按严重程度筛选 - tags="cms" 按标签筛选 """ queryset = FingerPrintHubFingerprint.objects.all() serializer_class = FingerPrintHubFingerprintSerializer pagination_class = BasePagination service_class = FingerPrintHubFingerprintService # 排序配置 ordering_fields = ['created_at', 'name', 'severity'] ordering = ['-created_at'] # FingerPrintHub 过滤字段映射 FILTER_FIELD_MAPPING = { 'fp_id': 'fp_id', 'name': 'name', 'author': 'author', 'tags': 'tags', 'severity': 'severity', 'source_file': 'source_file', } # JSON 数组字段（使用 __contains 查询） JSON_ARRAY_FIELDS = ['http'] def parse_import_data(self, json_data) -> list: """ 解析 FingerPrintHub JSON 格式的导入数据 输入格式：[{...}, {...}] 数组格式 返回：指纹列表 """ if isinstance(json_data, list): return json_data return [] def get_export_filename(self) -> str: """导出文件名""" return 'fingerprinthub_web.json' ================================================ FILE: backend/apps/engine/views/fingerprints/fingers.py ================================================ """Fingers 指纹管理 ViewSet""" from apps.common.pagination import BasePagination from apps.engine.models import FingersFingerprint from apps.engine.serializers.fingerprints import FingersFingerprintSerializer from apps.engine.services.fingerprints import FingersFingerprintService from .base import BaseFingerprintViewSet class FingersFingerprintViewSet(BaseFingerprintViewSet): """Fingers 指纹管理 ViewSet 继承自 BaseFingerprintViewSet，提供以下 API： 标准 CRUD（ModelViewSet）： - GET / 列表查询（分页） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（继承自基类）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载 智能过滤语法（filter 参数）： - name="word" 模糊匹配 name 字段 - name=="WordPress" 精确匹配 - tag="cms" 按标签筛选 - focus="true" 按重点关注筛选 """ queryset = FingersFingerprint.objects.all() serializer_class = FingersFingerprintSerializer pagination_class = BasePagination service_class = FingersFingerprintService # 排序配置 ordering_fields = ['created_at', 'name'] ordering = ['-created_at'] # Fingers 过滤字段映射 FILTER_FIELD_MAPPING = { 'name': 'name', 'link': 'link', 'focus': 'focus', } # JSON 数组字段（使用 __contains 查询） JSON_ARRAY_FIELDS = ['tag', 'rule', 'default_port'] def parse_import_data(self, json_data) -> list: """ 解析 Fingers JSON 格式的导入数据 输入格式：[{...}, {...}] 数组格式 返回：指纹列表 """ if isinstance(json_data, list): return json_data return [] def get_export_filename(self) -> str: """导出文件名""" return 'fingers_http.json' ================================================ FILE: backend/apps/engine/views/fingerprints/goby.py ================================================ """Goby 指纹管理 ViewSet""" from apps.common.pagination import BasePagination from apps.engine.models import GobyFingerprint from apps.engine.serializers.fingerprints import GobyFingerprintSerializer from apps.engine.services.fingerprints import GobyFingerprintService from .base import BaseFingerprintViewSet class GobyFingerprintViewSet(BaseFingerprintViewSet): """Goby 指纹管理 ViewSet 继承自 BaseFingerprintViewSet，提供以下 API： 标准 CRUD（ModelViewSet）： - GET / 列表查询（分页） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（继承自基类）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载 智能过滤语法（filter 参数）： - name="word" 模糊匹配 name 字段 - name=="ProductName" 精确匹配 """ queryset = GobyFingerprint.objects.all() serializer_class = GobyFingerprintSerializer pagination_class = BasePagination service_class = GobyFingerprintService # 排序配置 ordering_fields = ['created_at', 'name'] ordering = ['-created_at'] # Goby 过滤字段映射 FILTER_FIELD_MAPPING = { 'name': 'name', 'logic': 'logic', } def parse_import_data(self, json_data) -> list: """ 解析 Goby JSON 格式的导入数据 Goby 格式是数组格式：[{...}, {...}, ...] 输入格式：[{"name": "...", "logic": "...", "rule": [...]}, ...] 返回：指纹列表 """ if isinstance(json_data, list): return json_data return [] def get_export_filename(self) -> str: """导出文件名""" return 'goby.json' ================================================ FILE: backend/apps/engine/views/fingerprints/wappalyzer.py ================================================ """Wappalyzer 指纹管理 ViewSet""" from apps.common.pagination import BasePagination from apps.engine.models import WappalyzerFingerprint from apps.engine.serializers.fingerprints import WappalyzerFingerprintSerializer from apps.engine.services.fingerprints import WappalyzerFingerprintService from .base import BaseFingerprintViewSet class WappalyzerFingerprintViewSet(BaseFingerprintViewSet): """Wappalyzer 指纹管理 ViewSet 继承自 BaseFingerprintViewSet，提供以下 API： 标准 CRUD（ModelViewSet）： - GET / 列表查询（分页） - POST / 创建单条 - GET /{id}/ 获取详情 - PUT /{id}/ 更新 - DELETE /{id}/ 删除 批量操作（继承自基类）： - POST /batch_create/ 批量创建（JSON body） - POST /import_file/ 文件导入（multipart/form-data） - POST /bulk-delete/ 批量删除 - POST /delete-all/ 删除所有 - GET /export/ 导出下载 智能过滤语法（filter 参数）： - name="word" 模糊匹配 name 字段 - name=="AppName" 精确匹配 """ queryset = WappalyzerFingerprint.objects.all() serializer_class = WappalyzerFingerprintSerializer pagination_class = BasePagination service_class = WappalyzerFingerprintService # 排序配置 ordering_fields = ['created_at', 'name'] ordering = ['-created_at'] # Wappalyzer 过滤字段映射 # 注意：implies 是 JSON 数组字段，使用 __contains 查询 FILTER_FIELD_MAPPING = { 'name': 'name', 'description': 'description', 'website': 'website', 'cpe': 'cpe', 'implies': 'implies', # JSON 数组字段 } # JSON 数组字段列表（使用 __contains 查询） JSON_ARRAY_FIELDS = ['implies'] def parse_import_data(self, json_data: dict) -> list: """ 解析 Wappalyzer JSON 格式的导入数据 Wappalyzer 格式是 apps 对象格式：{"apps": {"AppName": {...}, ...}} 输入格式：{"apps": {"1C-Bitrix": {"cats": [...], ...}, ...}} 返回：指纹列表（每个 app 转换为带 name 字段的 dict） """ apps = json_data.get('apps', {}) fingerprints = [] for name, data in apps.items(): item = {'name': name, **data} fingerprints.append(item) return fingerprints def get_export_filename(self) -> str: """导出文件名""" return 'wappalyzer.json' ================================================ FILE: backend/apps/engine/views/nuclei_template_repo_views.py ================================================ """Nuclei 模板仓库 View 层（HTTP 接口） 本模块提供 Nuclei 多仓库管理的 REST API，基于 DRF ModelViewSet。 API 列表： ========== 仓库 CRUD（ModelViewSet 默认实现）： - GET /api/nuclei/repos/ 获取仓库列表 - POST /api/nuclei/repos/ 创建仓库 - GET /api/nuclei/repos/{id}/ 获取仓库详情 - PUT /api/nuclei/repos/{id}/ 更新仓库 - DELETE /api/nuclei/repos/{id}/ 删除仓库 自定义 Action： - POST /api/nuclei/repos/{id}/refresh/ 手动 Git 同步（clone/pull） - GET /api/nuclei/repos/{id}/templates/tree/ 获取当前本地模板目录树（不自动同步） - GET /api/nuclei/repos/{id}/templates/content/ 获取单个模板内容（只读） 调用链路： HTTP Request → View → Service → Repository → Model/FileSystem """ from __future__ import annotations import logging from django.core.exceptions import ValidationError from rest_framework import status, viewsets from rest_framework.decorators import action from rest_framework.request import Request from rest_framework.response import Response from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from apps.engine.models import NucleiTemplateRepo from apps.engine.serializers import NucleiTemplateRepoSerializer from apps.engine.services import NucleiTemplateRepoService logger = logging.getLogger(__name__) class NucleiTemplateRepoViewSet(viewsets.ModelViewSet): """Nuclei 模板 Git 仓库 ViewSet 继承 ModelViewSet，自动获得 CRUD 能力： - list: 获取仓库列表 - create: 创建仓库 - retrieve: 获取仓库详情 - update: 更新仓库 - destroy: 删除仓库 额外提供三个自定义 Action（见下方方法）。 Attributes: queryset: 默认查询集，按创建时间倒序 serializer_class: 序列化器类 service: Service 层实例，处理业务逻辑 """ # DRF ModelViewSet 配置 queryset = NucleiTemplateRepo.objects.all().order_by("-created_at") serializer_class = NucleiTemplateRepoSerializer def __init__(self, *args, **kwargs) -> None: # type: ignore[override] """初始化 ViewSet，创建 Service 实例""" super().__init__(*args, **kwargs) self.service = NucleiTemplateRepoService() def perform_create(self, serializer) -> None: # type: ignore[override] """创建仓库时初始化本地路径目录 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 都复用这个固定目录，避免运行时才临时决定路径。 """ instance = serializer.save() # 初始化并持久化 local_path，同时在文件系统中创建对应目录 self.service.ensure_local_path(instance) def perform_destroy(self, instance: NucleiTemplateRepo) -> None: # type: ignore[override] """删除仓库时同时清理本地目录 前端在 /tools/nuclei/ 点击删除时： - 这里会先尝试删除 instance.local_path 对应的目录 - 然后调用父类逻辑删除数据库记录 """ # 清理本地目录（最佳努力，不影响主流程） self.service.remove_local_path_dir(instance) super().perform_destroy(instance) # ==================== 自定义 Action: Git 同步 ==================== @action(detail=True, methods=["post"], url_path="refresh") def refresh(self, request: Request, pk: str | None = None) -> Response: """手动触发 Git 同步 POST /api/nuclei/repos/{id}/refresh/ 执行 git clone（首次）或 git pull（后续）。 同步成功后更新 last_synced_at。 Returns: 200: {"message": "刷新成功", "result": {...}} 400: {"message": "无效的仓库 ID"} 或 {"message": "仓库不存在"} 500: {"message": "刷新仓库失败"} """ # 解析仓库 ID try: repo_id = int(pk) if pk is not None else None except (TypeError, ValueError): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Invalid repository ID', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 Service 层 try: result = self.service.refresh_repo(repo_id) except ValidationError as exc: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(exc), status_code=status.HTTP_400_BAD_REQUEST ) except Exception as exc: # noqa: BLE001 logger.error("刷新 Nuclei 模板仓库失败: %s", exc, exc_info=True) return error_response( code=ErrorCodes.SERVER_ERROR, message=f'Refresh failed: {exc}', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response(data={'result': result}) # ==================== 自定义 Action: 模板只读浏览 ==================== @action(detail=True, methods=["get"], url_path="templates/tree") def templates_tree(self, request: Request, pk: str | None = None) -> Response: """获取模板目录树 GET /api/nuclei/repos/{id}/templates/tree/ 只读取当前本地仓库目录，不主动触发 Git 同步。 如需拉取远端最新内容，请先调用 POST /api/nuclei/repos/{id}/refresh/。 返回的树形结构包含所有文件夹和 .yaml/.yml 文件。 Returns: 200: {"roots": [{type, name, path, children}, ...]} 400: {"message": "无效的仓库 ID"} 或 {"message": "仓库不存在"} 500: {"message": "获取模板目录树失败"} """ # 解析仓库 ID try: repo_id = int(pk) if pk is not None else None except (TypeError, ValueError): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Invalid repository ID', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 Service 层，仅从当前本地目录读取目录树 try: roots = self.service.get_template_tree(repo_id) except ValidationError as exc: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(exc), status_code=status.HTTP_400_BAD_REQUEST ) except Exception as exc: # noqa: BLE001 logger.error("获取 Nuclei 模板目录树失败: %s", exc, exc_info=True) return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to get template tree', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response(data={'roots': roots}) @action(detail=True, methods=["get"], url_path="templates/content") def templates_content(self, request: Request, pk: str | None = None) -> Response: """获取单个模板文件内容 GET /api/nuclei/repos/{id}/templates/content/?path=http/example.yaml Query Parameters: path: 模板相对路径，如 "http/cves/CVE-2021-1234.yaml" Returns: 200: {"path": "...", "name": "...", "content": "..."} 400: {"message": "无效的仓库 ID"} 或 {"message": "缺少 path 参数"} 404: {"message": "模板不存在或无法读取"} 500: {"message": "获取模板内容失败"} """ # 解析仓库 ID try: repo_id = int(pk) if pk is not None else None except (TypeError, ValueError): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Invalid repository ID', status_code=status.HTTP_400_BAD_REQUEST ) # 解析 path 参数 rel_path = (request.query_params.get("path", "") or "").strip() if not rel_path: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Missing path parameter', status_code=status.HTTP_400_BAD_REQUEST ) # 调用 Service 层 try: result = self.service.get_template_content(repo_id, rel_path) except ValidationError as exc: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(exc), status_code=status.HTTP_400_BAD_REQUEST ) except Exception as exc: # noqa: BLE001 logger.error("获取 Nuclei 模板内容失败: %s", exc, exc_info=True) return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to get template content', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) # 文件不存在 if result is None: return error_response( code=ErrorCodes.NOT_FOUND, message='Template not found or unreadable', status_code=status.HTTP_404_NOT_FOUND ) return success_response(data=result) ================================================ FILE: backend/apps/engine/views/wordlist_views.py ================================================ """字典管理 API Views""" import os from django.core.exceptions import ValidationError from django.http import FileResponse from rest_framework import status, viewsets from rest_framework.decorators import action from rest_framework.response import Response from apps.common.pagination import BasePagination from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from apps.engine.serializers.wordlist_serializer import WordlistSerializer from apps.engine.services.wordlist_service import WordlistService class WordlistViewSet(viewsets.ViewSet): """字典管理 ViewSet""" pagination_class = BasePagination def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.service = WordlistService() @property def paginator(self): """懒加载分页器实例""" if not hasattr(self, "_paginator"): if self.pagination_class is None: self._paginator = None else: self._paginator = self.pagination_class() return self._paginator def list(self, request): """获取字典列表""" queryset = self.service.get_queryset() page = self.paginator.paginate_queryset(queryset, request, view=self) serializer = WordlistSerializer(page, many=True) return self.paginator.get_paginated_response(serializer.data) def create(self, request): """上传并创建字典记录""" name = (request.data.get("name", "") or "").strip() description = request.data.get("description", "") or "" uploaded_file = request.FILES.get("file") if not uploaded_file: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Missing wordlist file', status_code=status.HTTP_400_BAD_REQUEST ) try: wordlist = self.service.create_wordlist( name=name, description=description, uploaded_file=uploaded_file, ) except ValidationError as exc: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(exc), status_code=status.HTTP_400_BAD_REQUEST ) serializer = WordlistSerializer(wordlist) return success_response(data=serializer.data, status_code=status.HTTP_201_CREATED) def destroy(self, request, pk=None): """删除字典记录""" try: wordlist_id = int(pk) except (TypeError, ValueError): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Invalid ID', status_code=status.HTTP_400_BAD_REQUEST ) success = self.service.delete_wordlist(wordlist_id) if not success: return error_response( code=ErrorCodes.NOT_FOUND, status_code=status.HTTP_404_NOT_FOUND ) return Response(status=status.HTTP_204_NO_CONTENT) @action(detail=False, methods=["get"], url_path="download") def download(self, request): """通过字典名称下载文件内容 Query 参数： - wordlist: 字典名称，对应 Wordlist.name（唯一） """ name = (request.query_params.get("wordlist", "") or "").strip() if not name: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Missing parameter: wordlist', status_code=status.HTTP_400_BAD_REQUEST ) wordlist = self.service.get_wordlist_by_name(name) if not wordlist: return error_response( code=ErrorCodes.NOT_FOUND, message='Wordlist not found', status_code=status.HTTP_404_NOT_FOUND ) file_path = wordlist.file_path if not file_path or not os.path.exists(file_path): return error_response( code=ErrorCodes.NOT_FOUND, message='Wordlist file not found', status_code=status.HTTP_404_NOT_FOUND ) filename = os.path.basename(file_path) response = FileResponse(open(file_path, "rb"), as_attachment=True, filename=filename) return response @action(detail=True, methods=["get", "put"], url_path="content") def content(self, request, pk=None): """获取或更新字典文件内容 GET: 返回字典文件的文本内容 PUT: 更新字典文件内容，重新计算 hash """ try: wordlist_id = int(pk) except (TypeError, ValueError): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Invalid ID', status_code=status.HTTP_400_BAD_REQUEST ) if request.method == "GET": content = self.service.get_wordlist_content(wordlist_id) if content is None: return error_response( code=ErrorCodes.NOT_FOUND, message='Wordlist not found or file unreadable', status_code=status.HTTP_404_NOT_FOUND ) return success_response(data={"content": content}) elif request.method == "PUT": content = request.data.get("content") if content is None: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Missing content parameter', status_code=status.HTTP_400_BAD_REQUEST ) wordlist = self.service.update_wordlist_content(wordlist_id, content) if not wordlist: return error_response( code=ErrorCodes.NOT_FOUND, message='Wordlist not found or update failed', status_code=status.HTTP_404_NOT_FOUND ) serializer = WordlistSerializer(wordlist) return success_response(data=serializer.data) ================================================ FILE: backend/apps/engine/views/worker_views.py ================================================ """ Worker 节点 Views """ import os import threading import logging from rest_framework import viewsets, status from rest_framework.decorators import action from rest_framework.response import Response from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from apps.engine.serializers import WorkerNodeSerializer from apps.engine.services import WorkerService from apps.common.signals import worker_delete_failed logger = logging.getLogger(__name__) class WorkerNodeViewSet(viewsets.ModelViewSet): """ Worker 节点 ViewSet HTTP API: - GET /api/workers/ - 获取节点列表 - POST /api/workers/ - 创建节点 - DELETE /api/workers/{id}/ - 删除节点（同时执行远程卸载） - POST /api/workers/{id}/heartbeat/ - 心跳上报 部署通过 WebSocket 终端进行: - ws://host/ws/workers/{id}/deploy/ """ serializer_class = WorkerNodeSerializer def __init__(self, **kwargs): super().__init__(**kwargs) self.worker_service = WorkerService() def get_queryset(self): """通过服务层获取 Worker 查询集""" return self.worker_service.get_all_workers() def get_serializer_context(self): """传入批量查询的 Redis 负载数据，避免 N+1 查询""" context = super().get_serializer_context() # 仅在 list 操作时批量预加载 if self.action == 'list': from apps.engine.services.worker_load_service import worker_load_service queryset = self.get_queryset() worker_ids = list(queryset.values_list('id', flat=True)) context['loads'] = worker_load_service.get_all_loads(worker_ids) return context def destroy(self, request, *args, **kwargs): """ 删除 Worker 节点 流程： 1. 后台线程执行远程卸载脚本 2. 卸载完成后删除数据库记录 3. 发送通知 """ worker = self.get_object() # 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） worker_id = worker.id worker_name = worker.name ip_address = worker.ip_address ssh_port = worker.ssh_port username = worker.username password = worker.password # 1. 删除 Redis 中的负载数据 from apps.engine.services.worker_load_service import worker_load_service worker_load_service.delete_load(worker_id) # 2. 删除数据库记录（立即生效，前端刷新时不会再看到） self.worker_service.delete_worker(worker_id) def _async_remote_uninstall(): """后台执行远程卸载""" try: success, message = self.worker_service.remote_uninstall( worker_id=worker_id, ip_address=ip_address, ssh_port=ssh_port, username=username, password=password ) if success: logger.info(f"Worker {worker_name} 远程卸载成功") else: logger.warning(f"Worker {worker_name} 远程卸载: {message}") # 卸载失败时发送通知 worker_delete_failed.send( sender=self.__class__, worker_name=worker_name, message=message ) except Exception as e: logger.error(f"Worker {worker_name} 远程卸载失败: {e}") worker_delete_failed.send( sender=self.__class__, worker_name=worker_name, message=str(e) ) # 2. 后台线程执行远程卸载（不阻塞响应） threading.Thread(target=_async_remote_uninstall, daemon=True).start() # 3. 立即返回成功 return success_response( data={'name': worker_name} ) @action(detail=True, methods=['post']) def heartbeat(self, request, pk=None): """ 接收心跳上报（写 Redis，首次心跳更新部署状态，检查版本） 请求体: { "cpu_percent": 50.0, "memory_percent": 60.0, "version": "v1.0.9" } 返回: { "status": "ok", "need_update": true/false, "server_version": "v1.0.19" } 状态流转: ┌─────────────────────────────────────────────────────────────────────┐ │ 场景 │ 状态变化 │ ├─────────────────────────────┼───────────────────────────────────────┤ │ 首次心跳 │ pending/deploying → online │ │ 远程 Worker 版本不匹配 │ online → updating → (更新成功) online │ │ 远程 Worker 更新失败 │ updating → outdated │ │ 本地 Worker 版本不匹配 │ online → outdated (需手动 update.sh) │ │ 版本匹配 │ updating/outdated → online │ └─────────────────────────────┴───────────────────────────────────────┘ """ from apps.engine.services.worker_load_service import worker_load_service from django.conf import settings worker = self.get_object() info = request.data if request.data else {} # 1. 写入 Redis（实时负载数据，TTL=60秒） cpu = info.get('cpu_percent', 0) mem = info.get('memory_percent', 0) worker_load_service.update_load(worker.id, cpu, mem) # 2. 首次心跳：更新状态为 online if worker.status not in ('online', 'offline'): worker.status = 'online' worker.save(update_fields=['status']) # 3. 版本检查：比较 agent 版本与 server 版本 agent_version = info.get('version', '') server_version = settings.IMAGE_TAG # Server 当前版本 need_update = False if agent_version and agent_version != 'unknown': # 版本不匹配时通知 agent 更新 need_update = agent_version != server_version if need_update: logger.info( f"Worker {worker.name} 版本不匹配: agent={agent_version}, server={server_version}" ) # 远程 Worker：服务端主动通过 SSH 触发更新 if not worker.is_local and worker.ip_address: self._trigger_remote_agent_update(worker, server_version) else: # 本地 Worker 版本不匹配：标记为 outdated # 需要用户手动执行 update.sh 更新 if worker.status != 'outdated': worker.status = 'outdated' worker.save(update_fields=['status']) else: # 版本匹配，确保状态为 online if worker.status in ('updating', 'outdated'): worker.status = 'online' worker.save(update_fields=['status']) return success_response( data={ 'status': 'ok', 'needUpdate': need_update, 'serverVersion': server_version } ) def _trigger_remote_agent_update(self, worker, target_version: str): """ 通过 SSH 触发远程 agent 更新（后台执行，不阻塞心跳响应） 使用 Redis 锁防止重复触发（同一 worker 60秒内只触发一次） """ import redis from django.conf import settings as django_settings redis_url = f"redis://{django_settings.REDIS_HOST}:{django_settings.REDIS_PORT}/{django_settings.REDIS_DB}" redis_client = redis.from_url(redis_url) lock_key = f"agent_update_lock:{worker.id}" # 尝试获取锁（60秒过期，防止重复触发） if not redis_client.set(lock_key, "1", nx=True, ex=60): logger.debug(f"Worker {worker.name} 更新已在进行中，跳过") return # 获取锁成功，设置状态为 updating self._set_worker_status(worker.id, 'updating') # 提取数据避免后台线程访问 ORM worker_id = worker.id worker_name = worker.name ip_address = worker.ip_address ssh_port = worker.ssh_port username = worker.username password = worker.password def _async_update(): try: logger.info(f"开始远程更新 Worker {worker_name} 到 {target_version}") # 构建更新命令：拉取新镜像并重启 agent docker_user = getattr(django_settings, 'DOCKER_USER', 'yyhuni') update_cmd = f''' docker pull {docker_user}/xingrin-agent:{target_version} && \ docker stop xingrin-agent 2>/dev/null || true && \ docker rm xingrin-agent 2>/dev/null || true && \ docker run -d --pull=always \ --name xingrin-agent \ --restart always \ -e HEARTBEAT_API_URL="https://{django_settings.PUBLIC_HOST}:{getattr(django_settings, 'PUBLIC_PORT', '8083')}" \ -e WORKER_ID="{worker_id}" \ -e IMAGE_TAG="{target_version}" \ -v /proc:/host/proc:ro \ {docker_user}/xingrin-agent:{target_version} ''' success, message = self.worker_service.execute_remote_command( ip_address=ip_address, ssh_port=ssh_port, username=username, password=password, command=update_cmd ) if success: logger.info(f"Worker {worker_name} 远程更新成功") # 更新成功后，新 agent 心跳会自动把状态改回 online else: logger.warning(f"Worker {worker_name} 远程更新失败: {message}") # 更新失败，标记为 outdated self._set_worker_status(worker_id, 'outdated') except Exception as e: logger.error(f"Worker {worker_name} 远程更新异常: {e}") self._set_worker_status(worker_id, 'outdated') finally: # 释放锁 redis_client.delete(lock_key) # 后台执行，不阻塞心跳响应 threading.Thread(target=_async_update, daemon=True).start() def _set_worker_status(self, worker_id: int, status: str): """更新 Worker 状态（用于后台线程）""" try: from apps.engine.models import WorkerNode WorkerNode.objects.filter(id=worker_id).update(status=status) except Exception as e: logger.error(f"更新 Worker {worker_id} 状态失败: {e}") @action(detail=False, methods=['post']) def register(self, request): """ Worker 自注册 API 本地 Worker 启动时调用此接口注册自己。 如果同名节点已存在，返回现有记录；否则创建新记录。 请求体: { "name": "Local-Scan-Worker", "is_local": true } 返回: { "worker_id": 1, "name": "Local-Scan-Worker", "created": false # true 表示新创建，false 表示已存在 } """ name = request.data.get('name') is_local = request.data.get('is_local', True) if not name: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Missing name parameter', status_code=status.HTTP_400_BAD_REQUEST ) worker, created = self.worker_service.register_worker( name=name, is_local=is_local ) return success_response( data={ 'workerId': worker.id, 'name': worker.name, 'created': created } ) @action(detail=False, methods=['get']) def config(self, request): """ 获取任务容器配置（配置中心 API） Worker 启动时调用此接口获取完整配置，实现配置中心化管理。 Worker 通过 IS_LOCAL 环境变量声明身份，请求时带上 ?is_local=true/false 参数。 请求参数: is_local: true/false - Worker 是否为本地节点（Docker 网络内） 返回: { "db": {"host": "...", "port": "...", ...}, "paths": {"results": "...", "logs": "..."} } 配置逻辑: - 本地 Worker (is_local=true): db_host=postgres - 远程 Worker (is_local=false): db_host=PUBLIC_HOST """ from django.conf import settings import logging logger = logging.getLogger(__name__) # 从请求参数获取 Worker 身份（由 Worker 自己声明） # 不再依赖 IP 判断，避免不同网络环境下的兼容性问题 is_local_param = request.query_params.get('is_local', '').lower() is_local_worker = is_local_param == 'true' # 根据请求来源返回不同的数据库地址 db_host = settings.DATABASES['default']['HOST'] _is_internal_db = db_host in ('postgres', 'localhost', '127.0.0.1') logger.info( "Worker 配置请求 - is_local_param: %s, is_local_worker: %s, db_host: %s, is_internal_db: %s", is_local_param, is_local_worker, db_host, _is_internal_db ) if _is_internal_db: # 本地数据库场景 if is_local_worker: # 本地 Worker：直接用 Docker 内部服务名 worker_db_host = 'postgres' else: # 远程 Worker：通过公网 IP 访问 public_host = settings.PUBLIC_HOST if public_host in ('server', 'localhost', '127.0.0.1'): logger.warning("远程 Worker 请求配置，但 PUBLIC_HOST=%s 不是有效的公网地址", public_host) worker_db_host = public_host else: # 远程数据库场景：所有 Worker 都用 DB_HOST worker_db_host = db_host logger.info("返回 Worker 配置 - db_host: %s", worker_db_host) return success_response( data={ 'db': { 'host': worker_db_host, 'port': str(settings.DATABASES['default']['PORT']), 'name': settings.DATABASES['default']['NAME'], 'user': settings.DATABASES['default']['USER'], 'password': settings.DATABASES['default']['PASSWORD'], }, 'paths': { 'results': getattr(settings, 'CONTAINER_RESULTS_MOUNT', '/opt/xingrin/results'), 'logs': getattr(settings, 'CONTAINER_LOGS_MOUNT', '/opt/xingrin/logs'), }, 'logging': { 'level': os.getenv('LOG_LEVEL', 'INFO'), 'enableCommandLogging': os.getenv('ENABLE_COMMAND_LOGGING', 'true').lower() == 'true', }, 'debug': settings.DEBUG, } ) ================================================ FILE: backend/apps/scan/__init__.py ================================================ ================================================ FILE: backend/apps/scan/apps.py ================================================ from django.apps import AppConfig class ScanConfig(AppConfig): """扫描应用配置类""" default_auto_field = 'django.db.models.BigAutoField' name = 'apps.scan' def ready(self): """应用启动时注册信号接收器""" # 导入接收器模块以注册信号处理函数 from apps.scan.notifications import receivers # noqa: F401 ================================================ FILE: backend/apps/scan/configs/command_templates.py ================================================ """ 扫描工具命令模板（简化版，不使用 Jinja2） 使用 Python 原生字符串格式化，零依赖。 """ from django.conf import settings # ==================== 路径配置 ==================== SCAN_TOOLS_BASE_PATH = getattr(settings, 'SCAN_TOOLS_BASE_PATH', '/usr/local/bin') # ==================== 子域名发现 ==================== SUBDOMAIN_DISCOVERY_COMMANDS = { 'subfinder': { # 使用所有数据源（包括付费源，只要配置了 API key） # -all 使用所有数据源（slow 但全面） # -v 显示详细输出，包括使用的数据源（调试用） # 注意：不要加 -recursive，它会排除不支持递归的源（如 fofa） 'base': "subfinder -d {domain} -all -o '{output_file}' -v", 'optional': { 'threads': '-t {threads}', # 控制并发 goroutine 数 'provider_config': "-pc '{provider_config}'", # Provider 配置文件路径 } }, 'sublist3r': { 'base': "python3 '/usr/local/share/Sublist3r/sublist3r.py' -d {domain} -o '{output_file}'", 'optional': { 'threads': '-t {threads}' } }, 'assetfinder': { 'base': "assetfinder --subs-only {domain} > '{output_file}'", }, # === 主动字典爆破 === 'subdomain_bruteforce': { # 使用字典对目标域名进行 DNS 爆破 # -d 目标域名，-w 字典文件，-o 输出文件 'base': "puredns bruteforce '{wordlist}' {domain} -r /app/backend/resources/resolvers.txt --write '{output_file}' --quiet", 'optional': {}, }, # === DNS 存活验证（最终统一验证）=== 'subdomain_resolve': { # 验证子域名是否能解析（存活验证） # 输入文件为候选子域列表，输出为存活子域列表 'base': "puredns resolve '{input_file}' -r /app/backend/resources/resolvers.txt --write '{output_file}' --wildcard-tests 50 --wildcard-batch 1000000 --quiet", 'optional': {}, }, # === 变异生成 + 存活验证（流式管道，避免 OOM）=== 'subdomain_permutation_resolve': { # 流式管道：dnsgen 生成变异域名 | puredns resolve 验证存活 # 不落盘中间文件，避免内存爆炸；不做通配符过滤 'base': "cat '{input_file}' | dnsgen - | puredns resolve -r /app/backend/resources/resolvers.txt --write '{output_file}' --wildcard-tests 50 --wildcard-batch 1000000 --quiet", 'optional': {}, }, } # ==================== 端口扫描 ==================== PORT_SCAN_COMMANDS = { 'naabu_active': { 'base': "naabu -exclude-cdn -warm-up-time 5 -verify -list '{domains_file}' -json -silent", 'optional': { 'threads': '-c {threads}', 'ports': '-p {ports}', 'top_ports': '-top-ports {top_ports}', 'rate': '-rate {rate}' } }, 'naabu_passive': { 'base': "naabu -list '{domains_file}' -passive -json -silent" }, } # ==================== 站点扫描 ==================== SITE_SCAN_COMMANDS = { 'httpx': { 'base': ( "'{scan_tools_base}/httpx' -l '{url_file}' " '-status-code -content-type -content-length ' '-location -title -server ' '-tech-detect -cdn -vhost ' '-include-response ' '-rstr 2000 ' '-random-agent -no-color -json -silent' ), 'optional': { 'threads': '-threads {threads}', 'rate_limit': '-rate-limit {rate_limit}', 'request_timeout': '-timeout {request_timeout}', 'retries': '-retries {retries}' } }, } # ==================== 目录扫描 ==================== DIRECTORY_SCAN_COMMANDS = { 'ffuf': { 'base': "'{scan_tools_base}/ffuf' -u '{url}FUZZ' -se -ac -sf -json -w '{wordlist}'", 'optional': { 'delay': '-p {delay}', 'threads': '-t {threads}', 'request_timeout': '-timeout {request_timeout}', 'match_codes': '-mc {match_codes}', 'rate': '-rate {rate}' } }, } # ==================== URL 获取 ==================== URL_FETCH_COMMANDS = { 'waymore': { 'base': "waymore -i {domain_name} -mode U -oU '{output_file}'", 'input_type': 'domain_name' }, 'katana': { 'base': ( "katana -list '{sites_file}' -o '{output_file}' " '-jc ' # 开启 JavaScript 爬取 + 自动解析 .js 文件里的所有端点（最重要） '-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） '-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） '-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） '-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） '-silent ' # 安静模式（终端不输出进度条，只出 URL） ), 'optional': { 'depth': '-d {depth}', # 爬取最大深度（平衡深度与时间，默认 3，推荐 5） 'threads': '-c {threads}', # 全局并发数（极低并发最像真人，推荐 10） '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） '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） 'retry': '-retry {retry}', # 失败请求自动重试次数（网络抖动不丢包，推荐 2） 'request_timeout': '-timeout {request_timeout}' # 单请求超时秒数（防卡死，推荐 12） }, 'input_type': 'sites_file' }, 'uro': { 'base': "uro -i '{input_file}' -o '{output_file}'", 'optional': { 'whitelist': '-w {whitelist}', # 只保留指定扩展名的 URL（空格分隔） 'blacklist': '-b {blacklist}', # 排除指定扩展名的 URL（空格分隔） 'filters': '-f {filters}' # 额外的过滤规则（空格分隔） } }, 'httpx': { 'base': ( "'{scan_tools_base}/httpx' -l '{url_file}' " '-status-code -content-type -content-length ' '-location -title -server ' '-tech-detect -cdn -vhost ' '-include-response ' '-rstr 2000 ' '-random-agent -no-color -json -silent' ), 'optional': { 'threads': '-threads {threads}', 'rate_limit': '-rate-limit {rate_limit}', 'request_timeout': '-timeout {request_timeout}', 'retries': '-retries {retries}' } }, } VULN_SCAN_COMMANDS = { 'dalfox_xss': { 'base': ( 'dalfox --silence --no-color --no-spinner ' '--skip-bav ' "file '{endpoints_file}' " '--waf-evasion ' '--format json' ), 'optional': { 'only_poc': '--only-poc {only_poc}', 'ignore_return': '--ignore-return {ignore_return}', 'blind_xss_server': '-b {blind_xss_server}', 'delay': '--delay {delay}', 'request_timeout': '--timeout {request_timeout}', # 是否追加 UA 头，由 user_agent 是否存在决定 'user_agent': '--user-agent "{user_agent}"', 'worker': '--worker {worker}', }, 'input_type': 'endpoints_file', }, 'nuclei': { # nuclei 漏洞扫描 # -j: JSON 输出（每行一条完整 JSON） # -silent: 静默模式 # -l: 输入 URL 列表文件 # -t: 模板目录路径（支持多个仓库，多次 -t 由 template_args 直接拼接） 'base': "nuclei -j -silent -l '{endpoints_file}' {template_args}", 'optional': { 'concurrency': '-c {concurrency}', # 并发数（默认 25） 'rate_limit': '-rl {rate_limit}', # 每秒请求数限制 'request_timeout': '-timeout {request_timeout}', # 请求超时秒数 'bulk_size': '-bs {bulk_size}', # 批量处理大小 'retries': '-retries {retries}', # 重试次数 'severity': '-severity {severity}', # 过滤严重性（info,low,medium,high,critical） 'tags': '-tags {tags}', # 过滤标签 'exclude_tags': '-etags {exclude_tags}', # 排除标签 }, 'input_type': 'endpoints_file', }, } # ==================== 指纹识别 ==================== FINGERPRINT_DETECT_COMMANDS = { 'xingfinger': { # 流式输出模式（不使用 -o，输出到 stdout） # -l: URL 列表文件输入 # -s: 静默模式，只输出命中结果 # --json: JSON 格式输出（每行一条） 'base': "xingfinger -l '{urls_file}' -s --json", 'optional': { # 自定义指纹库路径 'ehole': '--ehole {ehole}', 'goby': '--goby {goby}', 'wappalyzer': '--wappalyzer {wappalyzer}', 'fingers': '--fingers {fingers}', 'fingerprinthub': '--fingerprint {fingerprinthub}', 'arl': '--arl {arl}', } }, } # ==================== 工具映射 ==================== COMMAND_TEMPLATES = { 'subdomain_discovery': SUBDOMAIN_DISCOVERY_COMMANDS, 'port_scan': PORT_SCAN_COMMANDS, 'site_scan': SITE_SCAN_COMMANDS, 'fingerprint_detect': FINGERPRINT_DETECT_COMMANDS, 'directory_scan': DIRECTORY_SCAN_COMMANDS, 'url_fetch': URL_FETCH_COMMANDS, 'vuln_scan': VULN_SCAN_COMMANDS, 'screenshot': {}, # 使用 Python 原生库（Playwright），无命令模板 } # ==================== 扫描类型配置 ==================== # 执行阶段定义（按顺序执行） # Stage 1: 资产发现 - 子域名 → 端口 → 站点探测 → 指纹识别 # Stage 2: URL 收集 - URL 获取 + 目录扫描（并行） # Stage 3: 截图 - 在 URL 收集完成后执行，捕获更多发现的页面 # Stage 4: 漏洞扫描 - 最后执行 EXECUTION_STAGES = [ { 'mode': 'sequential', 'flows': ['subdomain_discovery', 'port_scan', 'site_scan', 'fingerprint_detect'] }, { 'mode': 'parallel', 'flows': ['url_fetch', 'directory_scan'] }, { 'mode': 'sequential', 'flows': ['screenshot'] }, { 'mode': 'sequential', 'flows': ['vuln_scan'] }, ] def get_supported_scan_types(): """ 获取支持的扫描类型 Returns: list: 支持的扫描类型列表（从 COMMAND_TEMPLATES 的 keys 获取） """ return list(COMMAND_TEMPLATES.keys()) def get_command_template(scan_type: str, tool_name: str) -> dict: """ 获取工具的命令模板 Args: scan_type: 扫描类型 tool_name: 工具名称 Returns: 命令模板字典，如果未找到则返回 None """ templates = COMMAND_TEMPLATES.get(scan_type, {}) return templates.get(tool_name) ================================================ FILE: backend/apps/scan/configs/engine_config_example.yaml ================================================ # 引擎配置 # # 参数命名：统一用中划线（如 rate-limit），系统自动转换为下划线 # 必需参数：enabled（是否启用） # 可选参数：timeout（超时秒数，默认 auto 自动计算） subdomain_discovery: # ==================== 子域名发现 ==================== # Stage 1: 被动收集（并行） - 必选，至少启用一个工具 # Stage 2: 字典爆破（可选） - 使用字典暴力枚举子域名 # 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 # Stage 4: DNS 存活验证（可选） - 验证所有候选域名是否能解析 # === Stage 1: 被动收集工具（并行执行）=== passive_tools: subfinder: enabled: true timeout: 3600 # 1小时 # threads: 10 # 并发 goroutine 数 sublist3r: enabled: true timeout: 3600 # threads: 50 # 线程数 assetfinder: enabled: true timeout: 3600 # === Stage 2: 主动字典爆破（可选）=== bruteforce: enabled: false subdomain_bruteforce: # timeout: auto # 自动根据字典行数计算 wordlist-name: subdomains-top1million-110000.txt # 对应「字典管理」中的 Wordlist.name # === Stage 3: 变异生成 + 存活验证（可选）=== permutation: enabled: true subdomain_permutation_resolve: timeout: 7200 # === Stage 4: DNS 存活验证（可选）=== resolve: enabled: true subdomain_resolve: timeout: auto # 自动根据候选子域数量计算 port_scan: # ==================== 端口扫描 ==================== tools: naabu_active: enabled: true # timeout: auto # 自动计算（目标数 × 端口数 × 0.5秒），范围 60秒 ~ 2天 threads: 200 # 并发连接数（默认 5） # ports: 1-65535 # 扫描端口范围（默认 1-65535） top-ports: 100 # 扫描 nmap top 100 端口 rate: 50 # 扫描速率 naabu_passive: enabled: true # timeout: auto # 被动扫描通常较快 site_scan: # ==================== 站点扫描 ==================== tools: httpx: enabled: true # timeout: auto # 自动计算（每个 URL 约 1 秒） # threads: 50 # 并发线程数（默认 50） # rate-limit: 150 # 每秒请求数（默认 150） # request-timeout: 10 # 单个请求超时秒数（默认 10） # retries: 2 # 请求失败重试次数 fingerprint_detect: # ==================== 指纹识别 ==================== # 在 站点扫描 后串行执行，识别 WebSite 的技术栈 tools: xingfinger: enabled: true fingerprint-libs: [ehole, goby, wappalyzer, fingers, fingerprinthub, arl] # 默认启动全部指纹库 directory_scan: # ==================== 目录扫描 ==================== tools: ffuf: enabled: true # timeout: auto # 自动计算（字典行数 × 0.02秒），范围 60秒 ~ 2小时 max-workers: 5 # 并发扫描站点数（默认 5） wordlist-name: dir_default.txt # 对应「字典管理」中的 Wordlist.name delay: 0.1-2.0 # 请求间隔，支持范围随机（如 "0.1-2.0"） threads: 10 # 并发线程数（默认 40） request-timeout: 10 # HTTP 请求超时秒数（默认 10） match-codes: 200,201,301,302,401,403 # 匹配的 HTTP 状态码 # rate: 0 # 每秒请求数（默认 0 不限制） screenshot: # ==================== 网站截图 ==================== # 使用 Playwright 对网站进行截图，保存为 WebP 格式 # 在 Stage 2 与 url_fetch、directory_scan 并行执行 tools: playwright: enabled: true concurrency: 5 # 并发截图数（默认 5） url_sources: [websites] # URL 来源，当前对website截图，还可以用 [websites, endpoints] url_fetch: # ==================== URL 获取 ==================== tools: waymore: enabled: true timeout: 3600 # 固定 1 小时（按域名输入） katana: enabled: true # timeout: auto # 自动计算（根据站点数量） depth: 5 # 爬取最大深度（默认 3） threads: 10 # 全局并发数 rate-limit: 30 # 每秒最多请求数 random-delay: 1 # 请求间随机延迟秒数 retry: 2 # 失败重试次数 request-timeout: 12 # 单请求超时秒数 uro: enabled: true # timeout: auto # 自动计算（每 100 个 URL 约 1 秒），范围 30 ~ 300 秒 # whitelist: # 只保留指定扩展名 # - php # - asp # blacklist: # 排除指定扩展名（静态资源） # - jpg # - png # - css # filters: # 额外过滤规则 # - hasparams # 只保留有参数的 URL # - vuln # 只保留可能有漏洞的 URL httpx: enabled: true # timeout: auto # 自动计算（每个 URL 约 1 秒） # threads: 50 # 并发线程数（默认 50） # rate-limit: 150 # 每秒请求数（默认 150） # request-timeout: 10 # 单个请求超时秒数（默认 10） # retries: 2 # 请求失败重试次数 vuln_scan: # ==================== 漏洞扫描 ==================== tools: dalfox_xss: enabled: true # timeout: auto # 自动计算（endpoints 行数 × 100 秒） request-timeout: 10 # 单个请求超时秒数 only-poc: r # 只输出 POC 结果（r: 反射型） ignore-return: "302,404,403" # 忽略的返回码 delay: 50 # 请求间隔（毫秒） worker: 30 # worker 数量 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" # blind-xss-server: xxx # 盲打 XSS 回连服务地址 nuclei: enabled: true # timeout: auto # 自动计算（根据 endpoints 行数） template-repo-names: # 模板仓库列表，对应「Nuclei 模板」中的仓库名 - nuclei-templates # - nuclei-custom # 可追加自定义仓库 concurrency: 25 # 并发数（默认 25） rate-limit: 150 # 每秒请求数限制（默认 150） request-timeout: 5 # 单个请求超时秒数（默认 5） severity: medium,high,critical # 只扫描中高危 # tags: cve,rce # 只使用指定标签的模板 ================================================ FILE: backend/apps/scan/flows/__init__.py ================================================ """Prefect Flows（编排层） 注意：大部分 Flow 已迁移到 scripts/ 目录作为普通脚本执行 """ from .initiate_scan_flow import initiate_scan_flow from .subdomain_discovery_flow import subdomain_discovery_flow from .fingerprint_detect_flow import fingerprint_detect_flow __all__ = [ 'initiate_scan_flow', 'subdomain_discovery_flow', 'fingerprint_detect_flow', ] ================================================ FILE: backend/apps/scan/flows/directory_scan_flow.py ================================================ """ 目录扫描 Flow 负责编排目录扫描的完整流程 架构： - Flow 负责编排多个原子 Task - 支持并发执行扫描工具（使用 ThreadPoolTaskRunner） - 每个 Task 可独立重试 - 配置由 YAML 解析 """ import hashlib import logging import subprocess from datetime import datetime from pathlib import Path from typing import List, Tuple from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.tasks.directory_scan import ( export_sites_task, run_and_stream_save_directories_task, ) from apps.scan.utils import ( build_scan_command, ensure_wordlist_local, user_log, wait_for_system_load, ) logger = logging.getLogger(__name__) # 默认最大并发数 DEFAULT_MAX_WORKERS = 5 def calculate_directory_scan_timeout( tool_config: dict, base_per_word: float = 1.0, min_timeout: int = 60, ) -> int: """ 根据字典行数计算目录扫描超时时间 计算公式：超时时间 = 字典行数 × 每个单词基础时间 超时范围：最小 60 秒，无上限 Args: tool_config: 工具配置字典，包含 wordlist 路径 base_per_word: 每个单词的基础时间（秒），默认 1.0秒 min_timeout: 最小超时时间（秒），默认 60秒 Returns: int: 计算出的超时时间（秒） """ import os wordlist_path = tool_config.get('wordlist') if not wordlist_path: logger.warning("工具配置中未指定 wordlist，使用默认超时: %d秒", min_timeout) return min_timeout wordlist_path = os.path.expanduser(wordlist_path) if not os.path.exists(wordlist_path): logger.warning("字典文件不存在: %s，使用默认超时: %d秒", wordlist_path, min_timeout) return min_timeout try: result = subprocess.run( ['wc', '-l', wordlist_path], capture_output=True, text=True, check=True ) line_count = int(result.stdout.strip().split()[0]) timeout = max(min_timeout, int(line_count * base_per_word)) logger.info( "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", wordlist_path, line_count, base_per_word, timeout ) return timeout except (subprocess.CalledProcessError, ValueError, IndexError) as e: logger.error("计算超时时间失败: %s", e) return min_timeout def _get_max_workers(tool_config: dict, default: int = DEFAULT_MAX_WORKERS) -> int: """从单个工具配置中获取 max_workers 参数""" if not isinstance(tool_config, dict): return default max_workers = tool_config.get('max_workers') or tool_config.get('max-workers') if isinstance(max_workers, int) and max_workers > 0: return max_workers return default def _export_site_urls( target_id: int, directory_scan_dir: Path ) -> Tuple[str, int]: """ 导出目标下的所有站点 URL 到文件 Args: target_id: 目标 ID directory_scan_dir: 目录扫描目录 Returns: tuple: (sites_file, site_count) """ logger.info("Step 1: 导出目标的所有站点 URL") sites_file = str(directory_scan_dir / 'sites.txt') export_result = export_sites_task( target_id=target_id, output_file=sites_file, batch_size=1000 ) site_count = export_result['total_count'] logger.info( "✓ 站点 URL 导出完成 - 文件: %s, 数量: %d", export_result['output_file'], site_count ) if site_count == 0: logger.warning("目标下没有站点，无法执行目录扫描") return export_result['output_file'], site_count def _generate_log_filename( tool_name: str, site_url: str, directory_scan_dir: Path ) -> Path: """生成唯一的日志文件名（使用 URL 的 hash 确保并发时不会冲突）""" url_hash = hashlib.md5( site_url.encode(), usedforsecurity=False ).hexdigest()[:8] timestamp = datetime.now().strftime('%Y%m%d_%H%M%S_%f') return directory_scan_dir / f"{tool_name}_{url_hash}_{timestamp}.log" def _prepare_tool_wordlist(tool_name: str, tool_config: dict) -> bool: """准备工具的字典文件，返回是否成功""" wordlist_name = tool_config.get('wordlist_name') if not wordlist_name: return True try: local_wordlist_path = ensure_wordlist_local(wordlist_name) tool_config['wordlist'] = local_wordlist_path return True except Exception as exc: logger.error("为工具 %s 准备字典失败: %s", tool_name, exc) return False def _build_scan_params( tool_name: str, tool_config: dict, sites: List[str], directory_scan_dir: Path, site_timeout: int ) -> Tuple[List[dict], List[str]]: """构建所有站点的扫描参数，返回 (scan_params_list, failed_sites)""" scan_params_list = [] failed_sites = [] for idx, site_url in enumerate(sites, 1): try: command = build_scan_command( tool_name=tool_name, scan_type='directory_scan', command_params={'url': site_url}, tool_config=tool_config ) log_file = _generate_log_filename(tool_name, site_url, directory_scan_dir) scan_params_list.append({ 'idx': idx, 'site_url': site_url, 'command': command, 'log_file': str(log_file), 'timeout': site_timeout }) except Exception as e: logger.error( "✗ [%d/%d] 构建 %s 命令失败: %s - 站点: %s", idx, len(sites), tool_name, e, site_url ) failed_sites.append(site_url) return scan_params_list, failed_sites def _execute_batch( batch_params: List[dict], tool_name: str, scan_id: int, target_id: int, directory_scan_dir: Path, total_sites: int ) -> Tuple[int, List[str]]: """执行一批扫描任务，返回 (directories_found, failed_sites)""" directories_found = 0 failed_sites = [] # 提交任务 futures = [] for params in batch_params: future = run_and_stream_save_directories_task.submit( cmd=params['command'], tool_name=tool_name, scan_id=scan_id, target_id=target_id, site_url=params['site_url'], cwd=str(directory_scan_dir), shell=True, batch_size=1000, timeout=params['timeout'], log_file=params['log_file'] ) futures.append((params['idx'], params['site_url'], future)) # 等待结果 for idx, site_url, future in futures: try: result = future.result() dirs_count = result.get('created_directories', 0) directories_found += dirs_count logger.info( "✓ [%d/%d] 站点扫描完成: %s - 发现 %d 个目录", idx, total_sites, site_url, dirs_count ) except Exception as exc: failed_sites.append(site_url) if 'timeout' in str(exc).lower(): logger.warning( "⚠️ [%d/%d] 站点扫描超时: %s - 错误: %s", idx, total_sites, site_url, exc ) else: logger.error( "✗ [%d/%d] 站点扫描失败: %s - 错误: %s", idx, total_sites, site_url, exc ) return directories_found, failed_sites def _run_scans_concurrently( enabled_tools: dict, sites_file: str, directory_scan_dir: Path, scan_id: int, target_id: int, ) -> Tuple[int, int, List[str]]: """ 并发执行目录扫描任务 Returns: tuple: (total_directories, processed_sites, failed_sites) """ # 读取站点列表 sites: List[str] = [] with open(sites_file, 'r', encoding='utf-8') as f: sites = [line.strip() for line in f if line.strip()] if not sites: logger.warning("站点列表为空") return 0, 0, [] logger.info( "准备并发扫描 %d 个站点，使用工具: %s", len(sites), ', '.join(enabled_tools.keys()) ) total_directories = 0 processed_sites_count = 0 failed_sites: List[str] = [] for tool_name, tool_config in enabled_tools.items(): max_workers = _get_max_workers(tool_config) logger.info("=" * 60) logger.info("使用工具: %s (并发模式, max_workers=%d)", tool_name, max_workers) logger.info("=" * 60) user_log(scan_id, "directory_scan", f"Running {tool_name}") # 准备字典文件 if not _prepare_tool_wordlist(tool_name, tool_config): failed_sites.extend(sites) continue # 计算超时时间 site_timeout = tool_config.get('timeout', 300) if site_timeout == 'auto': site_timeout = calculate_directory_scan_timeout(tool_config) logger.info("✓ 工具 %s 动态计算 timeout: %d秒", tool_name, site_timeout) # 构建扫描参数 scan_params_list, build_failed = _build_scan_params( tool_name, tool_config, sites, directory_scan_dir, site_timeout ) failed_sites.extend(build_failed) if not scan_params_list: logger.warning("没有有效的扫描任务") continue # 分批执行 total_tasks = len(scan_params_list) logger.info("开始分批执行 %d 个扫描任务（每批 %d 个）...", total_tasks, max_workers) last_progress_percent = 0 tool_directories = 0 tool_processed = 0 for batch_start in range(0, total_tasks, max_workers): batch_end = min(batch_start + max_workers, total_tasks) batch_params = scan_params_list[batch_start:batch_end] batch_num = batch_start // max_workers + 1 logger.info( "执行第 %d 批任务（%d-%d/%d）...", batch_num, batch_start + 1, batch_end, total_tasks ) dirs_found, batch_failed = _execute_batch( batch_params, tool_name, scan_id, target_id, directory_scan_dir, len(sites) ) total_directories += dirs_found tool_directories += dirs_found tool_processed += len(batch_params) - len(batch_failed) processed_sites_count += len(batch_params) - len(batch_failed) failed_sites.extend(batch_failed) # 进度里程碑：每 20% 输出一次 current_progress = int((batch_end / total_tasks) * 100) if current_progress >= last_progress_percent + 20: user_log( scan_id, "directory_scan", f"Progress: {batch_end}/{total_tasks} sites scanned" ) last_progress_percent = (current_progress // 20) * 20 logger.info( "✓ 工具 %s 执行完成 - 已处理站点: %d/%d, 发现目录: %d", tool_name, tool_processed, total_tasks, tool_directories ) user_log( scan_id, "directory_scan", f"{tool_name} completed: found {tool_directories} directories" ) if failed_sites: logger.warning("部分站点扫描失败: %d/%d", len(failed_sites), len(sites)) logger.info( "✓ 并发目录扫描执行完成 - 成功: %d/%d, 失败: %d, 总目录数: %d", processed_sites_count, len(sites), len(failed_sites), total_directories ) return total_directories, processed_sites_count, failed_sites @flow( name="directory_scan", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def directory_scan_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict ) -> dict: """ 目录扫描 Flow 主要功能： 1. 从 target 获取所有站点的 URL 2. 对每个站点 URL 执行目录扫描（支持 ffuf 等工具） 3. 流式保存扫描结果到数据库 Directory 表 Args: scan_id: 扫描任务 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: 扫描工作空间目录 enabled_tools: 启用的工具配置字典 Returns: dict: 扫描结果 """ try: wait_for_system_load(context="directory_scan_flow") logger.info( "开始目录扫描 - Scan ID: %s, Target: %s, Workspace: %s", scan_id, target_name, scan_workspace_dir ) user_log(scan_id, "directory_scan", "Starting directory scan") # 参数验证 if scan_id is None: raise ValueError("scan_id 不能为空") if not target_name: raise ValueError("target_name 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") if not enabled_tools: raise ValueError("enabled_tools 不能为空") # Step 0: 创建工作目录 from apps.scan.utils import setup_scan_directory directory_scan_dir = setup_scan_directory(scan_workspace_dir, 'directory_scan') # Step 1: 导出站点 URL sites_file, site_count = _export_site_urls(target_id, directory_scan_dir) if site_count == 0: logger.warning("跳过目录扫描：没有站点可扫描 - Scan ID: %s", scan_id) user_log(scan_id, "directory_scan", "Skipped: no sites to scan", "warning") return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'sites_file': sites_file, 'site_count': 0, 'total_directories': 0, 'processed_sites': 0, 'failed_sites_count': 0, 'executed_tasks': ['export_sites'] } # Step 2: 工具配置信息 logger.info("Step 2: 工具配置信息") tool_info = [ f"{name}(max_workers={_get_max_workers(cfg)})" for name, cfg in enabled_tools.items() ] logger.info("✓ 启用工具: %s", ', '.join(tool_info)) # Step 3: 并发执行扫描 logger.info("Step 3: 并发执行扫描工具并实时保存结果") total_directories, processed_sites, failed_sites = _run_scans_concurrently( enabled_tools=enabled_tools, sites_file=sites_file, directory_scan_dir=directory_scan_dir, scan_id=scan_id, target_id=target_id, ) if processed_sites == 0 and site_count > 0: logger.warning( "所有站点扫描均失败 - 总站点数: %d, 失败数: %d", site_count, len(failed_sites) ) logger.info("✓ 目录扫描完成 - 发现目录: %d", total_directories) user_log( scan_id, "directory_scan", f"directory_scan completed: found {total_directories} directories" ) return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'sites_file': sites_file, 'site_count': site_count, 'total_directories': total_directories, 'processed_sites': processed_sites, 'failed_sites_count': len(failed_sites), 'executed_tasks': ['export_sites', 'run_and_stream_save_directories'] } except Exception as e: logger.exception("目录扫描失败: %s", e) raise ================================================ FILE: backend/apps/scan/flows/fingerprint_detect_flow.py ================================================ """ 指纹识别 Flow 负责编排指纹识别的完整流程 架构： - Flow 负责编排多个原子 Task - 在 site_scan 后串行执行 - 使用 xingfinger 工具识别技术栈 - 流式处理输出，批量更新数据库 """ import logging from datetime import datetime from pathlib import Path from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.tasks.fingerprint_detect import ( export_urls_for_fingerprint_task, run_xingfinger_and_stream_update_tech_task, ) from apps.scan.utils import build_scan_command, user_log, wait_for_system_load from apps.scan.utils.fingerprint_helpers import get_fingerprint_paths logger = logging.getLogger(__name__) def calculate_fingerprint_detect_timeout( url_count: int, base_per_url: float = 10.0, min_timeout: int = 300 ) -> int: """ 根据 URL 数量计算超时时间 公式：超时时间 = URL 数量 × 每 URL 基础时间 最小值：300秒，无上限 Args: url_count: URL 数量 base_per_url: 每 URL 基础时间（秒），默认 10秒 min_timeout: 最小超时时间（秒），默认 300秒 Returns: int: 计算出的超时时间（秒） """ return max(min_timeout, int(url_count * base_per_url)) def _export_urls( target_id: int, fingerprint_dir: Path, source: str = 'website' ) -> tuple[str, int]: """ 导出 URL 到文件 Args: target_id: 目标 ID fingerprint_dir: 指纹识别目录 source: 数据源类型 Returns: tuple: (urls_file, total_count) """ logger.info("Step 1: 导出 URL 列表 (source=%s)", source) urls_file = str(fingerprint_dir / 'urls.txt') export_result = export_urls_for_fingerprint_task( target_id=target_id, output_file=urls_file, source=source, batch_size=1000 ) total_count = export_result['total_count'] logger.info( "✓ URL 导出完成 - 文件: %s, 数量: %d", export_result['output_file'], total_count ) return export_result['output_file'], total_count def _run_fingerprint_detect( enabled_tools: dict, urls_file: str, url_count: int, fingerprint_dir: Path, scan_id: int, target_id: int, source: str ) -> tuple[dict, list]: """ 执行指纹识别任务 Args: enabled_tools: 已启用的工具配置字典 urls_file: URL 文件路径 url_count: URL 总数 fingerprint_dir: 指纹识别目录 scan_id: 扫描任务 ID target_id: 目标 ID source: 数据源类型 Returns: tuple: (tool_stats, failed_tools) """ tool_stats = {} failed_tools = [] for tool_name, tool_config in enabled_tools.items(): # 1. 获取指纹库路径 lib_names = tool_config.get('fingerprint_libs', ['ehole']) fingerprint_paths = get_fingerprint_paths(lib_names) if not fingerprint_paths: reason = f"没有可用的指纹库: {lib_names}" logger.warning(reason) failed_tools.append({'tool': tool_name, 'reason': reason}) continue # 2. 将指纹库路径合并到 tool_config（用于命令构建） tool_config_with_paths = {**tool_config, **fingerprint_paths} # 3. 构建命令 try: command = build_scan_command( tool_name=tool_name, scan_type='fingerprint_detect', command_params={'urls_file': urls_file}, tool_config=tool_config_with_paths ) except Exception as e: reason = f"命令构建失败: {e}" logger.error("构建 %s 命令失败: %s", tool_name, e) failed_tools.append({'tool': tool_name, 'reason': reason}) continue # 4. 计算超时时间 timeout = calculate_fingerprint_detect_timeout(url_count) # 5. 生成日志文件路径 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') log_file = fingerprint_dir / f"{tool_name}_{timestamp}.log" logger.info( "开始执行 %s 指纹识别 - URL数: %d, 超时: %ds, 指纹库: %s", tool_name, url_count, timeout, list(fingerprint_paths.keys()) ) user_log(scan_id, "fingerprint_detect", f"Running {tool_name}: {command}") # 6. 执行扫描任务 try: result = run_xingfinger_and_stream_update_tech_task( cmd=command, tool_name=tool_name, scan_id=scan_id, target_id=target_id, source=source, cwd=str(fingerprint_dir), timeout=timeout, log_file=str(log_file), batch_size=100 ) tool_stats[tool_name] = { 'command': command, 'result': result, 'timeout': timeout, 'fingerprint_libs': list(fingerprint_paths.keys()) } tool_updated = result.get('updated_count', 0) logger.info( "✓ 工具 %s 执行完成 - 处理记录: %d, 更新: %d, 未找到: %d", tool_name, result.get('processed_records', 0), tool_updated, result.get('not_found_count', 0) ) user_log( scan_id, "fingerprint_detect", f"{tool_name} completed: identified {tool_updated} fingerprints" ) except Exception as exc: reason = str(exc) failed_tools.append({'tool': tool_name, 'reason': reason}) logger.error("工具 %s 执行失败: %s", tool_name, exc, exc_info=True) user_log(scan_id, "fingerprint_detect", f"{tool_name} failed: {reason}", "error") if failed_tools: logger.warning( "以下指纹识别工具执行失败: %s", ', '.join([f['tool'] for f in failed_tools]) ) return tool_stats, failed_tools @flow( name="fingerprint_detect", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def fingerprint_detect_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict ) -> dict: """ 指纹识别 Flow 主要功能： 1. 从数据库导出目标下所有 WebSite URL 到文件 2. 使用 xingfinger 进行技术栈识别 3. 解析结果并更新 WebSite.tech 字段（合并去重） 工作流程： Step 0: 创建工作目录 Step 1: 导出 URL 列表 Step 2: 解析配置，获取启用的工具 Step 3: 执行 xingfinger 并解析结果 Args: scan_id: 扫描任务 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: 扫描工作空间目录 enabled_tools: 启用的工具配置（xingfinger） Returns: dict: 扫描结果 """ try: # 负载检查：等待系统资源充足 wait_for_system_load(context="fingerprint_detect_flow") logger.info( "开始指纹识别 - Scan ID: %s, Target: %s, Workspace: %s", scan_id, target_name, scan_workspace_dir ) user_log(scan_id, "fingerprint_detect", "Starting fingerprint detection") # 参数验证 if scan_id is None: raise ValueError("scan_id 不能为空") if not target_name: raise ValueError("target_name 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") # 数据源类型（当前只支持 website） source = 'website' # Step 0: 创建工作目录 from apps.scan.utils import setup_scan_directory fingerprint_dir = setup_scan_directory(scan_workspace_dir, 'fingerprint_detect') # Step 1: 导出 URL（支持懒加载） urls_file, url_count = _export_urls(target_id, fingerprint_dir, source) if url_count == 0: logger.warning("跳过指纹识别：没有 URL 可扫描 - Scan ID: %s", scan_id) user_log(scan_id, "fingerprint_detect", "Skipped: no URLs to scan", "warning") return _build_empty_result(scan_id, target_name, scan_workspace_dir, urls_file) # Step 2: 工具配置信息 logger.info("Step 2: 工具配置信息") logger.info("✓ 启用工具: %s", ', '.join(enabled_tools.keys())) # Step 3: 执行指纹识别 logger.info("Step 3: 执行指纹识别") tool_stats, failed_tools = _run_fingerprint_detect( enabled_tools=enabled_tools, urls_file=urls_file, url_count=url_count, fingerprint_dir=fingerprint_dir, scan_id=scan_id, target_id=target_id, source=source ) # 动态生成已执行的任务列表 executed_tasks = ['export_urls_for_fingerprint'] executed_tasks.extend([f'run_xingfinger ({tool})' for tool in tool_stats]) # 汇总所有工具的结果 total_processed = sum( stats['result'].get('processed_records', 0) for stats in tool_stats.values() ) total_updated = sum( stats['result'].get('updated_count', 0) for stats in tool_stats.values() ) total_created = sum( stats['result'].get('created_count', 0) for stats in tool_stats.values() ) total_snapshots = sum( stats['result'].get('snapshot_count', 0) for stats in tool_stats.values() ) # 记录 Flow 完成 logger.info("✓ 指纹识别完成 - 识别指纹: %d", total_updated) user_log( scan_id, "fingerprint_detect", f"fingerprint_detect completed: identified {total_updated} fingerprints" ) successful_tools = [ name for name in enabled_tools if name not in [f['tool'] for f in failed_tools] ] return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'urls_file': urls_file, 'url_count': url_count, 'processed_records': total_processed, 'updated_count': total_updated, 'created_count': total_created, 'snapshot_count': total_snapshots, 'executed_tasks': executed_tasks, 'tool_stats': { 'total': len(enabled_tools), 'successful': len(successful_tools), 'failed': len(failed_tools), 'successful_tools': successful_tools, 'failed_tools': failed_tools, 'details': tool_stats } } except ValueError as e: logger.error("配置错误: %s", e) raise except RuntimeError as e: logger.error("运行时错误: %s", e) raise except Exception as e: logger.exception("指纹识别失败: %s", e) raise def _build_empty_result( scan_id: int, target_name: str, scan_workspace_dir: str, urls_file: str ) -> dict: """构建空结果（无 URL 可扫描时）""" return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'urls_file': urls_file, 'url_count': 0, 'processed_records': 0, 'updated_count': 0, 'created_count': 0, 'snapshot_count': 0, 'executed_tasks': ['export_urls_for_fingerprint'], 'tool_stats': { 'total': 0, 'successful': 0, 'failed': 0, 'successful_tools': [], 'failed_tools': [], 'details': {} } } ================================================ FILE: backend/apps/scan/flows/initiate_scan_flow.py ================================================ """ 扫描初始化 Flow 负责编排扫描任务的初始化流程 职责： - 使用 FlowOrchestrator 解析 YAML 配置 - 在 Prefect Flow 中执行子 Flow（Subflow） - 按照 YAML 顺序编排工作流 - 不包含具体业务逻辑（由 Tasks 和 FlowOrchestrator 实现） 架构： - Flow: Prefect 编排层（本文件） - FlowOrchestrator: 配置解析和执行计划（apps/scan/services/） - Tasks: 执行层（apps/scan/tasks/） - Handlers: 状态管理（apps/scan/handlers/） """ # Django 环境初始化（导入即生效） # 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 from apps.common.prefect_django_setup import setup_django_for_prefect from prefect import flow, task from pathlib import Path import logging from apps.scan.handlers import ( on_initiate_scan_flow_running, on_initiate_scan_flow_completed, on_initiate_scan_flow_failed, ) from prefect.futures import wait from apps.scan.utils import setup_scan_workspace from apps.scan.orchestrators import FlowOrchestrator logger = logging.getLogger(__name__) @task(name="run_subflow") def _run_subflow_task(scan_type: str, flow_func, flow_kwargs: dict): """包装子 Flow 的 Task，用于在并行阶段并发执行子 Flow。""" logger.info("开始执行子 Flow: %s", scan_type) return flow_func(**flow_kwargs) @flow( name='initiate_scan', description='扫描任务初始化流程', log_prints=True, on_running=[on_initiate_scan_flow_running], on_completion=[on_initiate_scan_flow_completed], on_failure=[on_initiate_scan_flow_failed], ) def initiate_scan_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, engine_name: str, scheduled_scan_name: str | None = None, ) -> dict: """ 初始化扫描任务（动态工作流编排） 根据 YAML 配置动态编排工作流： - 从数据库获取 engine_config (YAML) - 检测启用的扫描类型 - 按照定义的阶段执行： Stage 1: Discovery (顺序执行) - subdomain_discovery - port_scan - site_scan Stage 2: Analysis (并行执行) - url_fetch - directory_scan Args: scan_id: 扫描任务 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: Scan 工作空间目录路径 engine_name: 引擎名称（用于显示） scheduled_scan_name: 定时扫描任务名称（可选，用于通知显示） Returns: dict: 执行结果摘要 Raises: ValueError: 参数验证失败或配置无效 RuntimeError: 执行失败 """ try: # ==================== 参数验证 ==================== if not scan_id: raise ValueError("scan_id is required") if not scan_workspace_dir: raise ValueError("scan_workspace_dir is required") if not engine_name: raise ValueError("engine_name is required") logger.info("="*60) logger.info("开始初始化扫描任务") logger.info(f"Scan ID: {scan_id}") logger.info(f"Target: {target_name}") logger.info(f"Engine: {engine_name}") logger.info(f"Workspace: {scan_workspace_dir}") logger.info("="*60) # ==================== Task 1: 创建 Scan 工作空间 ==================== scan_workspace_path = setup_scan_workspace(scan_workspace_dir) # ==================== Task 2: 获取引擎配置 ==================== from apps.scan.models import Scan scan = Scan.objects.get(id=scan_id) engine_config = scan.yaml_configuration # 使用 engine_names 进行显示 display_engine_name = ', '.join(scan.engine_names) if scan.engine_names else engine_name # ==================== Task 3: 解析配置，生成执行计划 ==================== orchestrator = FlowOrchestrator(engine_config) # FlowOrchestrator 已经解析了所有工具配置 enabled_tools_by_type = orchestrator.enabled_tools_by_type logger.info("执行计划生成成功") logger.info(f"扫描类型: {' → '.join(orchestrator.scan_types)}") logger.info(f"总共 {len(orchestrator.scan_types)} 个 Flow") # ==================== 初始化阶段进度 ==================== # 在解析完配置后立即初始化，此时已有完整的 scan_types 列表 from apps.scan.services import ScanService scan_service = ScanService() scan_service.init_stage_progress(scan_id, orchestrator.scan_types) logger.info(f"✓ 初始化阶段进度 - Stages: {orchestrator.scan_types}") # ==================== 更新 Target 最后扫描时间 ==================== # 在开始扫描时更新，表示"最后一次扫描开始时间" from apps.targets.services import TargetService target_service = TargetService() target_service.update_last_scanned_at(target_id) logger.info(f"✓ 更新 Target 最后扫描时间 - Target ID: {target_id}") # ==================== Task 3: 执行 Flow（动态阶段执行）==================== # 注意：各阶段状态更新由 scan_flow_handlers.py 自动处理（running/completed/failed） executed_flows = [] results = {} # 通用执行参数 flow_kwargs = { 'scan_id': scan_id, 'target_name': target_name, 'target_id': target_id, 'scan_workspace_dir': str(scan_workspace_path) } def record_flow_result(scan_type, result=None, error=None): """ 统一的结果记录函数 Args: scan_type: 扫描类型名称 result: 执行结果（成功时） error: 异常对象（失败时） """ if error: # 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 error_msg = f"{scan_type} 执行失败: {str(error)}" logger.warning(error_msg) executed_flows.append(f"{scan_type} (失败)") results[scan_type] = {'success': False, 'error': str(error)} # 不再抛出异常，让扫描继续 else: # 成功处理 executed_flows.append(scan_type) results[scan_type] = result logger.info(f"✓ {scan_type} 执行成功") def get_valid_flows(flow_names): """ 获取有效的 Flow 函数列表，并为每个 Flow 准备专属参数 Args: flow_names: 扫描类型名称列表 Returns: list: [(scan_type, flow_func, flow_specific_kwargs), ...] 有效的函数列表 """ valid_flows = [] for scan_type in flow_names: flow_func = orchestrator.get_flow_function(scan_type) if flow_func: # 为每个 Flow 准备专属的参数（包含对应的 enabled_tools） flow_specific_kwargs = dict(flow_kwargs) flow_specific_kwargs['enabled_tools'] = enabled_tools_by_type.get(scan_type, {}) valid_flows.append((scan_type, flow_func, flow_specific_kwargs)) else: logger.warning(f"跳过未实现的 Flow: {scan_type}") return valid_flows # --------------------------------------------------------- # 动态阶段执行（基于 FlowOrchestrator 定义） # --------------------------------------------------------- for mode, enabled_flows in orchestrator.get_execution_stages(): if mode == 'sequential': # 顺序执行 logger.info("="*60) logger.info(f"顺序执行阶段: {', '.join(enabled_flows)}") logger.info("="*60) for scan_type, flow_func, flow_specific_kwargs in get_valid_flows(enabled_flows): logger.info("="*60) logger.info(f"执行 Flow: {scan_type}") logger.info("="*60) try: result = flow_func(**flow_specific_kwargs) record_flow_result(scan_type, result=result) except Exception as e: record_flow_result(scan_type, error=e) elif mode == 'parallel': # 并行执行阶段：通过 Task 包装子 Flow，并使用 Prefect TaskRunner 并发运行 logger.info("="*60) logger.info(f"并行执行阶段: {', '.join(enabled_flows)}") logger.info("="*60) futures = [] # 提交所有并行子 Flow 任务 for scan_type, flow_func, flow_specific_kwargs in get_valid_flows(enabled_flows): logger.info("="*60) logger.info(f"提交并行子 Flow 任务: {scan_type}") logger.info("="*60) future = _run_subflow_task.submit( scan_type=scan_type, flow_func=flow_func, flow_kwargs=flow_specific_kwargs, ) futures.append((scan_type, future)) # 等待所有并行子 Flow 完成 if futures: wait([f for _, f in futures]) # 检查结果（复用统一的结果处理逻辑） for scan_type, future in futures: try: result = future.result() record_flow_result(scan_type, result=result) except Exception as e: record_flow_result(scan_type, error=e) # ==================== 完成 ==================== logger.info("="*60) logger.info("✓ 扫描任务初始化完成") logger.info(f"执行的 Flow: {', '.join(executed_flows)}") logger.info("="*60) # ==================== 返回结果 ==================== return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': str(scan_workspace_path), 'executed_flows': executed_flows, 'results': results } except ValueError as e: # 参数错误 logger.error("参数错误: %s", e) raise except RuntimeError as e: # 执行失败 logger.error("运行时错误: %s", e) raise except OSError as e: # 文件系统错误（工作空间创建失败） logger.error("文件系统错误: %s", e) raise except Exception as e: # 其他未预期错误 logger.exception("初始化扫描任务失败: %s", e) # 注意：失败状态更新由 Prefect State Handlers 自动处理 raise ================================================ FILE: backend/apps/scan/flows/port_scan_flow.py ================================================ """ 端口扫描 Flow 负责编排端口扫描的完整流程 架构： - Flow 负责编排多个原子 Task - 支持串行执行扫描工具（流式处理） - 每个 Task 可独立重试 - 配置由 YAML 解析 """ import logging import subprocess from datetime import datetime from pathlib import Path from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.tasks.port_scan import ( export_hosts_task, run_and_stream_save_ports_task, ) from apps.scan.utils import build_scan_command, user_log, wait_for_system_load logger = logging.getLogger(__name__) def calculate_port_scan_timeout( tool_config: dict, file_path: str, base_per_pair: float = 0.5 ) -> int: """ 根据目标数量和端口数量计算超时时间 计算公式：超时时间 = 目标数 × 端口数 × base_per_pair 超时范围：60秒 ~ 无上限 Args: tool_config: 工具配置字典，包含端口配置（ports, top-ports等） file_path: 目标文件路径（域名/IP列表） base_per_pair: 每个"端口-目标对"的基础时间（秒），默认 0.5秒 Returns: int: 计算出的超时时间（秒），最小 60 秒 """ try: result = subprocess.run( ['wc', '-l', file_path], capture_output=True, text=True, check=True ) target_count = int(result.stdout.strip().split()[0]) port_count = _parse_port_count(tool_config) total_work = target_count * port_count timeout = max(60, int(total_work * base_per_pair)) logger.info( "计算端口扫描 timeout - 目标数: %d, 端口数: %d, 总工作量: %d, 超时: %d秒", target_count, port_count, total_work, timeout ) return timeout except Exception as e: logger.warning("计算 timeout 失败: %s，使用默认值 600秒", e) return 600 def _parse_port_count(tool_config: dict) -> int: """ 从工具配置中解析端口数量 优先级： 1. top-ports: N → 返回 N 2. ports: "80,443,8080" → 返回逗号分隔的数量 3. ports: "1-1000" → 返回范围的大小 4. ports: "1-65535" → 返回 65535 5. 默认 → 返回 100（naabu 默认扫描 top 100） Args: tool_config: 工具配置字典 Returns: int: 端口数量 """ # 检查 top-ports 配置 if 'top-ports' in tool_config: top_ports = tool_config['top-ports'] if isinstance(top_ports, int) and top_ports > 0: return top_ports logger.warning("top-ports 配置无效: %s，使用默认值", top_ports) # 检查 ports 配置 if 'ports' in tool_config: ports_str = str(tool_config['ports']).strip() # 逗号分隔的端口列表：80,443,8080 if ',' in ports_str: return len([p.strip() for p in ports_str.split(',') if p.strip()]) # 端口范围：1-1000 if '-' in ports_str: try: start, end = ports_str.split('-', 1) start_port = int(start.strip()) end_port = int(end.strip()) if 1 <= start_port <= end_port <= 65535: return end_port - start_port + 1 logger.warning("端口范围无效: %s，使用默认值", ports_str) except ValueError: logger.warning("端口范围解析失败: %s，使用默认值", ports_str) # 单个端口 try: port = int(ports_str) if 1 <= port <= 65535: return 1 except ValueError: logger.warning("端口配置解析失败: %s，使用默认值", ports_str) # 默认值：naabu 默认扫描 top 100 端口 return 100 def _export_hosts(target_id: int, port_scan_dir: Path) -> tuple[str, int, str]: """ 导出主机列表到文件 根据 Target 类型自动决定导出内容： - DOMAIN: 从 Subdomain 表导出子域名 - IP: 直接写入 target.name - CIDR: 展开 CIDR 范围内的所有 IP Args: target_id: 目标 ID port_scan_dir: 端口扫描目录 Returns: tuple: (hosts_file, host_count, target_type) """ logger.info("Step 1: 导出主机列表") hosts_file = str(port_scan_dir / 'hosts.txt') export_result = export_hosts_task( target_id=target_id, output_file=hosts_file, ) host_count = export_result['total_count'] target_type = export_result.get('target_type', 'unknown') logger.info( "✓ 主机列表导出完成 - 类型: %s, 文件: %s, 数量: %d", target_type, export_result['output_file'], host_count ) if host_count == 0: logger.warning("目标下没有可扫描的主机，无法执行端口扫描") return export_result['output_file'], host_count, target_type def _run_scans_sequentially( enabled_tools: dict, domains_file: str, port_scan_dir: Path, scan_id: int, target_id: int, target_name: str ) -> tuple[dict, int, list, list]: """ 串行执行端口扫描任务 Args: enabled_tools: 已启用的工具配置字典 domains_file: 域名文件路径 port_scan_dir: 端口扫描目录 scan_id: 扫描任务 ID target_id: 目标 ID target_name: 目标名称（用于错误日志） Returns: tuple: (tool_stats, processed_records, successful_tool_names, failed_tools) """ tool_stats = {} processed_records = 0 failed_tools = [] for tool_name, tool_config in enabled_tools.items(): # 构建命令 try: command = build_scan_command( tool_name=tool_name, scan_type='port_scan', command_params={'domains_file': domains_file}, tool_config=tool_config ) except Exception as e: reason = f"命令构建失败: {e}" logger.error("构建 %s 命令失败: %s", tool_name, e) failed_tools.append({'tool': tool_name, 'reason': reason}) continue # 获取超时时间 config_timeout = tool_config['timeout'] if config_timeout == 'auto': config_timeout = calculate_port_scan_timeout(tool_config, str(domains_file)) logger.info("✓ 工具 %s 动态计算 timeout: %d秒", tool_name, config_timeout) # 生成日志文件路径 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') log_file = port_scan_dir / f"{tool_name}_{timestamp}.log" logger.info("开始执行 %s 扫描（超时: %d秒）...", tool_name, config_timeout) user_log(scan_id, "port_scan", f"Running {tool_name}: {command}") # 执行扫描任务 try: result = run_and_stream_save_ports_task( cmd=command, tool_name=tool_name, scan_id=scan_id, target_id=target_id, cwd=str(port_scan_dir), shell=True, batch_size=1000, timeout=config_timeout, log_file=str(log_file) ) tool_stats[tool_name] = { 'command': command, 'result': result, 'timeout': config_timeout } tool_records = result.get('processed_records', 0) processed_records += tool_records logger.info("✓ 工具 %s 流式处理完成 - 记录数: %d", tool_name, tool_records) user_log(scan_id, "port_scan", f"{tool_name} completed: found {tool_records} ports") except subprocess.TimeoutExpired: reason = f"timeout after {config_timeout}s" failed_tools.append({'tool': tool_name, 'reason': reason}) logger.warning( "⚠️ 工具 %s 执行超时 - 超时配置: %d秒\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。", tool_name, config_timeout ) user_log(scan_id, "port_scan", f"{tool_name} failed: {reason}", "error") except Exception as exc: reason = str(exc) failed_tools.append({'tool': tool_name, 'reason': reason}) logger.error("工具 %s 执行失败: %s", tool_name, exc, exc_info=True) user_log(scan_id, "port_scan", f"{tool_name} failed: {reason}", "error") if failed_tools: logger.warning( "以下扫描工具执行失败: %s", ', '.join([f['tool'] for f in failed_tools]) ) if not tool_stats: error_details = "; ".join([f"{f['tool']}: {f['reason']}" for f in failed_tools]) 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) return {}, 0, [], failed_tools successful_tool_names = [ name for name in enabled_tools if name not in [f['tool'] for f in failed_tools] ] logger.info( "✓ 串行端口扫描执行完成 - 成功: %d/%d (成功: %s, 失败: %s)", len(tool_stats), len(enabled_tools), ', '.join(successful_tool_names) if successful_tool_names else '无', ', '.join([f['tool'] for f in failed_tools]) if failed_tools else '无' ) return tool_stats, processed_records, successful_tool_names, failed_tools @flow( name="port_scan", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def port_scan_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict ) -> dict: """ 端口扫描 Flow 主要功能： 1. 扫描目标域名/IP 的开放端口 2. 保存 host + ip + port 三元映射到 HostPortMapping 表 输出资产： - HostPortMapping：主机端口映射（host + ip + port 三元组） 工作流程： Step 0: 创建工作目录 Step 1: 导出域名列表到文件（供扫描工具使用） Step 2: 解析配置，获取启用的工具 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 Args: scan_id: 扫描任务 ID target_name: 域名 target_id: 目标 ID scan_workspace_dir: Scan 工作空间目录 enabled_tools: 启用的工具配置字典 Returns: dict: 扫描结果 Raises: ValueError: 配置错误 RuntimeError: 执行失败 """ try: wait_for_system_load(context="port_scan_flow") if scan_id is None: raise ValueError("scan_id 不能为空") if not target_name: raise ValueError("target_name 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") if not enabled_tools: raise ValueError("enabled_tools 不能为空") logger.info( "开始端口扫描 - Scan ID: %s, Target: %s, Workspace: %s", scan_id, target_name, scan_workspace_dir ) user_log(scan_id, "port_scan", "Starting port scan") # Step 0: 创建工作目录 from apps.scan.utils import setup_scan_directory port_scan_dir = setup_scan_directory(scan_workspace_dir, 'port_scan') # Step 1: 导出主机列表 hosts_file, host_count, target_type = _export_hosts(target_id, port_scan_dir) if host_count == 0: logger.warning("跳过端口扫描：没有主机可扫描 - Scan ID: %s", scan_id) user_log(scan_id, "port_scan", "Skipped: no hosts to scan", "warning") return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'hosts_file': hosts_file, 'host_count': 0, 'target_type': target_type, 'processed_records': 0, 'executed_tasks': ['export_hosts'], 'tool_stats': { 'total': 0, 'successful': 0, 'failed': 0, 'successful_tools': [], 'failed_tools': [], 'details': {} } } # Step 2: 工具配置信息 logger.info("Step 2: 工具配置信息") logger.info("✓ 启用工具: %s", ', '.join(enabled_tools.keys())) # Step 3: 串行执行扫描工具 logger.info("Step 3: 串行执行扫描工具") tool_stats, processed_records, successful_tool_names, failed_tools = _run_scans_sequentially( enabled_tools=enabled_tools, domains_file=hosts_file, port_scan_dir=port_scan_dir, scan_id=scan_id, target_id=target_id, target_name=target_name ) logger.info("✓ 端口扫描完成 - 发现端口: %d", processed_records) user_log(scan_id, "port_scan", f"port_scan completed: found {processed_records} ports") executed_tasks = ['export_hosts', 'parse_config'] executed_tasks.extend([f'run_and_stream_save_ports ({tool})' for tool in tool_stats]) return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'hosts_file': hosts_file, 'host_count': host_count, 'target_type': target_type, 'processed_records': processed_records, 'executed_tasks': executed_tasks, 'tool_stats': { 'total': len(tool_stats) + len(failed_tools), 'successful': len(successful_tool_names), 'failed': len(failed_tools), 'successful_tools': successful_tool_names, 'failed_tools': failed_tools, 'details': tool_stats } } except ValueError as e: logger.error("配置错误: %s", e) raise except RuntimeError as e: logger.error("运行时错误: %s", e) raise except Exception as e: logger.exception("端口扫描失败: %s", e) raise ================================================ FILE: backend/apps/scan/flows/screenshot_flow.py ================================================ """ 截图 Flow 负责编排截图的完整流程： 1. 从数据库获取 URL 列表（websites 和/或 endpoints） 2. 批量截图并保存快照 3. 同步到资产表 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库获取 URL 2. Provider 模式：使用 TargetProvider 从任意数据源获取 URL """ import logging from typing import Optional from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.providers import TargetProvider from apps.scan.services.target_export_service import DataSource, get_urls_with_fallback from apps.scan.tasks.screenshot import capture_screenshots_task from apps.scan.utils import user_log, wait_for_system_load logger = logging.getLogger(__name__) # URL 来源到 DataSource 的映射 _SOURCE_MAPPING = { 'websites': DataSource.WEBSITE, 'endpoints': DataSource.ENDPOINT, } def _parse_screenshot_config(enabled_tools: dict) -> dict: """解析截图配置""" playwright_config = enabled_tools.get('playwright', {}) return { 'concurrency': playwright_config.get('concurrency', 5), 'url_sources': playwright_config.get('url_sources', ['websites']) } def _map_url_sources_to_data_sources(url_sources: list[str]) -> list[str]: """将配置中的 url_sources 映射为 DataSource 常量""" sources = [] for source in url_sources: if source in _SOURCE_MAPPING: sources.append(_SOURCE_MAPPING[source]) else: logger.warning("未知的 URL 来源: %s，跳过", source) # 添加默认回退（从 subdomain 构造） sources.append(DataSource.DEFAULT) return sources def _collect_urls_from_provider(provider: TargetProvider) -> tuple[list[str], str, list[str]]: """从 Provider 收集 URL""" logger.info("使用 Provider 模式获取 URL - Provider: %s", type(provider).__name__) urls = list(provider.iter_urls()) blacklist_filter = provider.get_blacklist_filter() if blacklist_filter: urls = [url for url in urls if blacklist_filter.is_allowed(url)] return urls, 'provider', ['provider'] def _collect_urls_from_database( target_id: int, url_sources: list[str] ) -> tuple[list[str], str, list[str]]: """从数据库收集 URL（带黑名单过滤和回退）""" data_sources = _map_url_sources_to_data_sources(url_sources) result = get_urls_with_fallback(target_id, sources=data_sources) return result['urls'], result['source'], result['tried_sources'] def _build_empty_result(scan_id: int, target_name: str) -> dict: """构建空结果""" return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'total_urls': 0, 'successful': 0, 'failed': 0, 'synced': 0 } @flow( name="screenshot", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def screenshot_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict, provider: Optional[TargetProvider] = None ) -> dict: """ 截图 Flow 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库获取 URL 2. Provider 模式：使用 TargetProvider 从任意数据源获取 URL Args: scan_id: 扫描任务 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: 扫描工作空间目录 enabled_tools: 启用的工具配置 provider: TargetProvider 实例（新模式，可选） Returns: 截图结果字典 """ try: # 负载检查：等待系统资源充足 wait_for_system_load(context="screenshot_flow") mode = 'Provider' if provider else 'Legacy' logger.info( "开始截图扫描 - Scan ID: %s, Target: %s, Mode: %s", scan_id, target_name, mode ) user_log(scan_id, "screenshot", "Starting screenshot capture") # Step 1: 解析配置 config = _parse_screenshot_config(enabled_tools) concurrency = config['concurrency'] logger.info("截图配置 - 并发: %d, URL来源: %s", concurrency, config['url_sources']) # Step 2: 收集 URL 列表 if provider is not None: urls, source_info, tried_sources = _collect_urls_from_provider(provider) else: urls, source_info, tried_sources = _collect_urls_from_database( target_id, config['url_sources'] ) logger.info( "URL 收集完成 - 来源: %s, 数量: %d, 尝试过: %s", source_info, len(urls), tried_sources ) if not urls: logger.warning("没有可截图的 URL，跳过截图任务") user_log(scan_id, "screenshot", "Skipped: no URLs to capture", "warning") return _build_empty_result(scan_id, target_name) user_log( scan_id, "screenshot", f"Found {len(urls)} URLs to capture (source: {source_info})" ) # Step 3: 批量截图 logger.info("批量截图 - %d 个 URL", len(urls)) capture_result = capture_screenshots_task( urls=urls, scan_id=scan_id, target_id=target_id, config={'concurrency': concurrency} ) # Step 4: 同步到资产表 logger.info("同步截图到资产表") from apps.asset.services.screenshot_service import ScreenshotService synced = ScreenshotService().sync_screenshots_to_asset(scan_id, target_id) total = capture_result['total'] successful = capture_result['successful'] failed = capture_result['failed'] logger.info( "✓ 截图完成 - 总数: %d, 成功: %d, 失败: %d, 同步: %d", total, successful, failed, synced ) user_log( scan_id, "screenshot", f"Screenshot completed: {successful}/{total} captured, {synced} synced" ) return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'total_urls': total, 'successful': successful, 'failed': failed, 'synced': synced } except Exception: logger.exception("截图 Flow 失败") user_log(scan_id, "screenshot", "Screenshot failed", "error") raise ================================================ FILE: backend/apps/scan/flows/site_scan_flow.py ================================================ """ 站点扫描 Flow 负责编排站点扫描的完整流程 架构： - Flow 负责编排多个原子 Task - 支持串行执行扫描工具（流式处理） - 每个 Task 可独立重试 - 配置由 YAML 解析 """ import logging import subprocess from dataclasses import dataclass from datetime import datetime from pathlib import Path from typing import Optional from prefect import flow # Django 环境初始化（导入即生效） from apps.common.prefect_django_setup import setup_django_for_prefect # noqa: F401 from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.tasks.site_scan import ( export_site_urls_task, run_and_stream_save_websites_task, ) from apps.scan.utils import build_scan_command, user_log, wait_for_system_load logger = logging.getLogger(__name__) @dataclass class ScanContext: """扫描上下文，封装扫描参数""" scan_id: int target_id: int target_name: str site_scan_dir: Path urls_file: str total_urls: int def _count_file_lines(file_path: str) -> int: """使用 wc -l 统计文件行数""" try: result = subprocess.run( ['wc', '-l', file_path], capture_output=True, text=True, check=True ) return int(result.stdout.strip().split()[0]) except (subprocess.CalledProcessError, ValueError, IndexError) as e: logger.warning("wc -l 计算行数失败: %s，返回 0", e) return 0 def _calculate_timeout_by_line_count( file_path: str, base_per_time: int = 1, min_timeout: int = 60 ) -> int: """ 根据文件行数计算 timeout Args: file_path: 要统计行数的文件路径 base_per_time: 每行的基础时间（秒），默认1秒 min_timeout: 最小超时时间（秒），默认60秒 Returns: int: 计算出的超时时间（秒），不低于 min_timeout """ line_count = _count_file_lines(file_path) timeout = max(line_count * base_per_time, min_timeout) logger.info( "timeout 自动计算: 文件=%s, 行数=%d, 每行时间=%d秒, timeout=%d秒", file_path, line_count, base_per_time, timeout ) return timeout def _export_site_urls( target_id: int, site_scan_dir: Path ) -> tuple[str, int, int]: """ 导出站点 URL 到文件 Args: target_id: 目标 ID site_scan_dir: 站点扫描目录 Returns: tuple: (urls_file, total_urls, association_count) """ logger.info("Step 1: 导出站点URL列表") urls_file = str(site_scan_dir / 'site_urls.txt') export_result = export_site_urls_task( target_id=target_id, output_file=urls_file, batch_size=1000 ) total_urls = export_result['total_urls'] association_count = export_result['association_count'] logger.info( "✓ 站点URL导出完成 - 文件: %s, URL数量: %d, 关联数: %d", export_result['output_file'], total_urls, association_count ) if total_urls == 0: logger.warning("目标下没有可用的站点URL，无法执行站点扫描") return export_result['output_file'], total_urls, association_count def _get_tool_timeout(tool_config: dict, urls_file: str) -> int: """获取工具超时时间（支持 'auto' 动态计算）""" config_timeout = tool_config.get('timeout', 300) if config_timeout == 'auto': return _calculate_timeout_by_line_count(urls_file, base_per_time=1) dynamic_timeout = _calculate_timeout_by_line_count(urls_file, base_per_time=1) return max(dynamic_timeout, config_timeout) def _execute_single_tool( tool_name: str, tool_config: dict, ctx: ScanContext ) -> Optional[dict]: """ 执行单个扫描工具 Returns: 成功返回结果字典，失败返回 None """ # 构建命令 try: command = build_scan_command( tool_name=tool_name, scan_type='site_scan', command_params={'url_file': ctx.urls_file}, tool_config=tool_config ) except (ValueError, KeyError) as e: logger.error("构建 %s 命令失败: %s", tool_name, e) return None timeout = _get_tool_timeout(tool_config, ctx.urls_file) timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') log_file = ctx.site_scan_dir / f"{tool_name}_{timestamp}.log" logger.info( "开始执行 %s 站点扫描 - URL数: %d, 超时: %ds", tool_name, ctx.total_urls, timeout ) user_log(ctx.scan_id, "site_scan", f"Running {tool_name}: {command}") try: result = run_and_stream_save_websites_task( cmd=command, tool_name=tool_name, scan_id=ctx.scan_id, target_id=ctx.target_id, cwd=str(ctx.site_scan_dir), shell=True, timeout=timeout, log_file=str(log_file) ) tool_created = result.get('created_websites', 0) skipped = result.get('skipped_no_subdomain', 0) + result.get('skipped_failed', 0) logger.info( "✓ 工具 %s 完成 - 处理: %d, 创建: %d, 跳过: %d", tool_name, result.get('processed_records', 0), tool_created, skipped ) user_log( ctx.scan_id, "site_scan", f"{tool_name} completed: found {tool_created} websites" ) return {'command': command, 'result': result, 'timeout': timeout} except subprocess.TimeoutExpired: logger.warning( "⚠️ 工具 %s 执行超时 - 超时配置: %d秒 (超时前数据已保存)", tool_name, timeout ) user_log( ctx.scan_id, "site_scan", f"{tool_name} failed: timeout after {timeout}s", "error" ) except (OSError, RuntimeError) as exc: logger.error("工具 %s 执行失败: %s", tool_name, exc, exc_info=True) user_log(ctx.scan_id, "site_scan", f"{tool_name} failed: {exc}", "error") return None def _run_scans_sequentially( enabled_tools: dict, ctx: ScanContext ) -> tuple[dict, int, list, list]: """ 串行执行站点扫描任务 Returns: tuple: (tool_stats, processed_records, successful_tools, failed_tools) """ tool_stats = {} processed_records = 0 failed_tools = [] for tool_name, tool_config in enabled_tools.items(): result = _execute_single_tool(tool_name, tool_config, ctx) if result: tool_stats[tool_name] = result processed_records += result['result'].get('processed_records', 0) else: failed_tools.append({'tool': tool_name, 'reason': '执行失败'}) if failed_tools: logger.warning( "以下扫描工具执行失败: %s", ', '.join(f['tool'] for f in failed_tools) ) if not tool_stats: logger.warning( "所有站点扫描工具均失败 - 目标: %s", ctx.target_name ) return {}, 0, [], failed_tools successful_tools = [ name for name in enabled_tools if name not in {f['tool'] for f in failed_tools} ] logger.info( "✓ 站点扫描执行完成 - 成功: %d/%d", len(tool_stats), len(enabled_tools) ) return tool_stats, processed_records, successful_tools, failed_tools def _build_empty_result( scan_id: int, target_name: str, scan_workspace_dir: str, urls_file: str, association_count: int ) -> dict: """构建空结果（无 URL 可扫描时）""" return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'urls_file': urls_file, 'total_urls': 0, 'association_count': association_count, 'processed_records': 0, 'created_websites': 0, 'skipped_no_subdomain': 0, 'skipped_failed': 0, 'executed_tasks': ['export_site_urls'], 'tool_stats': { 'total': 0, 'successful': 0, 'failed': 0, 'successful_tools': [], 'failed_tools': [], 'details': {} } } def _aggregate_tool_results(tool_stats: dict) -> tuple[int, int, int]: """汇总工具结果""" total_created = sum( s['result'].get('created_websites', 0) for s in tool_stats.values() ) total_skipped_no_subdomain = sum( s['result'].get('skipped_no_subdomain', 0) for s in tool_stats.values() ) total_skipped_failed = sum( s['result'].get('skipped_failed', 0) for s in tool_stats.values() ) return total_created, total_skipped_no_subdomain, total_skipped_failed def _validate_flow_params( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str ) -> None: """验证 Flow 参数""" if scan_id is None: raise ValueError("scan_id 不能为空") if not target_name: raise ValueError("target_name 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") @flow( name="site_scan", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def site_scan_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict ) -> dict: """ 站点扫描 Flow 主要功能： 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 2. 用httpx进行批量请求并实时保存到数据库（流式处理） Args: scan_id: 扫描任务 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: 扫描工作空间目录 enabled_tools: 启用的工具配置字典 Returns: dict: 扫描结果 Raises: ValueError: 配置错误 RuntimeError: 执行失败 """ try: wait_for_system_load(context="site_scan_flow") logger.info( "开始站点扫描 - Scan ID: %s, Target: %s, Workspace: %s", scan_id, target_name, scan_workspace_dir ) _validate_flow_params(scan_id, target_name, target_id, scan_workspace_dir) user_log(scan_id, "site_scan", "Starting site scan") # Step 0: 创建工作目录 from apps.scan.utils import setup_scan_directory site_scan_dir = setup_scan_directory(scan_workspace_dir, 'site_scan') # Step 1: 导出站点 URL urls_file, total_urls, association_count = _export_site_urls( target_id, site_scan_dir ) if total_urls == 0: logger.warning("跳过站点扫描：没有站点 URL 可扫描 - Scan ID: %s", scan_id) user_log(scan_id, "site_scan", "Skipped: no site URLs to scan", "warning") return _build_empty_result( scan_id, target_name, scan_workspace_dir, urls_file, association_count ) # Step 2: 工具配置信息 logger.info("✓ 启用工具: %s", ', '.join(enabled_tools)) # Step 3: 串行执行扫描工具 ctx = ScanContext( scan_id=scan_id, target_id=target_id, target_name=target_name, site_scan_dir=site_scan_dir, urls_file=urls_file, total_urls=total_urls ) tool_stats, processed_records, successful_tools, failed_tools = \ _run_scans_sequentially(enabled_tools, ctx) # 汇总结果 executed_tasks = ['export_site_urls', 'parse_config'] executed_tasks.extend( f'run_and_stream_save_websites ({tool})' for tool in tool_stats ) total_created, total_skipped_no_sub, total_skipped_failed = \ _aggregate_tool_results(tool_stats) logger.info("✓ 站点扫描完成 - 创建站点: %d", total_created) user_log( scan_id, "site_scan", f"site_scan completed: found {total_created} websites" ) return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'urls_file': urls_file, 'total_urls': total_urls, 'association_count': association_count, 'processed_records': processed_records, 'created_websites': total_created, 'skipped_no_subdomain': total_skipped_no_sub, 'skipped_failed': total_skipped_failed, 'executed_tasks': executed_tasks, 'tool_stats': { 'total': len(enabled_tools), 'successful': len(successful_tools), 'failed': len(failed_tools), 'successful_tools': successful_tools, 'failed_tools': failed_tools, 'details': tool_stats } } except ValueError: raise except RuntimeError: raise ================================================ FILE: backend/apps/scan/flows/subdomain_discovery_flow.py ================================================ """ 子域名发现扫描 Flow 负责编排子域名发现扫描的完整流程 架构： - Flow 负责编排多个原子 Task - 支持并行执行扫描工具 - 每个 Task 可独立重试 - 配置由 YAML 解析 增强流程（4 阶段）： Stage 1: 被动收集（并行） - 必选 Stage 2: 字典爆破（可选） - 子域名字典爆破 Stage 3: 变异生成 + 验证（可选） - dnsgen + 通用存活验证 Stage 4: DNS 存活验证（可选） - 通用存活验证 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 """ import logging import subprocess import uuid from dataclasses import dataclass, field from datetime import datetime from pathlib import Path from typing import Optional from prefect import flow # Django 环境初始化（导入即生效，pylint: disable=unused-import） from apps.common.prefect_django_setup import setup_django_for_prefect # noqa: F401 from apps.common.normalizer import normalize_domain from apps.common.validators import validate_domain from apps.engine.services.wordlist_service import WordlistService from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.utils import ( build_scan_command, ensure_wordlist_local, user_log, wait_for_system_load, ) logger = logging.getLogger(__name__) # 泛解析检测配置 _SAMPLE_MULTIPLIER = 100 # 采样数量 = 原文件 × 100 _EXPANSION_THRESHOLD = 50 # 膨胀阈值 = 原文件 × 50 _SAMPLE_TIMEOUT = 7200 # 采样超时 2 小时 @dataclass class ScanContext: """扫描上下文，用于在各阶段间传递状态""" scan_id: int target_id: int domain_name: str result_dir: Path timestamp: str current_result: str = "" executed_tasks: list = field(default_factory=list) failed_tools: list = field(default_factory=list) successful_tools: list = field(default_factory=list) def _validate_and_normalize_target(target_name: str) -> str: """验证并规范化目标域名""" try: normalized_target = normalize_domain(target_name) validate_domain(normalized_target) logger.debug("域名验证通过: %s -> %s", target_name, normalized_target) return normalized_target except ValueError as e: raise ValueError(f"无效的目标域名: {target_name} - {e}") from e def _count_lines(file_path: str) -> int: """统计文件非空行数""" try: with open(file_path, 'r', encoding='utf-8', errors='ignore') as f: return sum(1 for line in f if line.strip()) except OSError as e: logger.warning("统计文件行数失败: %s - %s", file_path, e) return 0 def _merge_files(file_list: list, output_file: str) -> str: """合并多个文件并去重""" domains = set() for f in file_list: if f and Path(f).exists(): with open(f, 'r', encoding='utf-8', errors='ignore') as fp: for line in fp: line = line.strip() if line: domains.add(line) with open(output_file, 'w', encoding='utf-8') as fp: for domain in sorted(domains): fp.write(domain + '\n') logger.info("合并完成: %d 个域名 -> %s", len(domains), output_file) return output_file def _calculate_auto_timeout(file_path: str, multiplier: int = 3, default: int = 3600) -> int: """根据文件行数计算超时时间""" try: with open(file_path, 'rb') as f: line_count = sum(1 for _ in f) return line_count * multiplier if line_count > 0 else default except OSError: return default def _run_single_tool( tool_name: str, tool_config: dict, command_params: dict, result_dir: Path, scan_id: Optional[int] = None, scan_type: str = 'subdomain_discovery' ) -> str: """运行单个扫描工具，返回输出文件路径，失败返回空字符串""" from apps.scan.tasks.subdomain_discovery import run_subdomain_discovery_task timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') short_uuid = uuid.uuid4().hex[:4] output_file = str(result_dir / f"{tool_name}_{timestamp}_{short_uuid}.txt") command_params['output_file'] = output_file try: command = build_scan_command( tool_name=tool_name, scan_type=scan_type, command_params=command_params, tool_config=tool_config ) except (ValueError, KeyError) as e: logger.error("构建 %s 命令失败: %s", tool_name, e) return "" timeout = tool_config.get('timeout', 3600) if timeout == 'auto': timeout = 3600 logger.info("执行 %s: %s", tool_name, command) if scan_id: user_log(scan_id, scan_type, f"Running {tool_name}: {command}") try: result = run_subdomain_discovery_task( tool=tool_name, command=command, timeout=timeout, output_file=output_file ) return result if result else "" except (subprocess.TimeoutExpired, OSError) as e: logger.warning("%s 执行失败: %s", tool_name, e) return "" def _run_scans_parallel( enabled_tools: dict, domain_name: str, result_dir: Path, scan_id: int, provider_config_path: Optional[str] = None ) -> tuple[list, list, list]: """并行运行所有启用的子域名扫描工具""" from apps.scan.tasks.subdomain_discovery import run_subdomain_discovery_task timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') futures = {} failed_tools = [] for tool_name, tool_config in enabled_tools.items(): short_uuid = uuid.uuid4().hex[:4] output_file = str(result_dir / f"{tool_name}_{timestamp}_{short_uuid}.txt") command_params = {'domain': domain_name, 'output_file': output_file} if tool_name == 'subfinder' and provider_config_path: command_params['provider_config'] = provider_config_path try: command = build_scan_command( tool_name=tool_name, scan_type='subdomain_discovery', command_params=command_params, tool_config=tool_config ) except (ValueError, KeyError) as e: logger.error("构建 %s 命令失败: %s", tool_name, e) failed_tools.append({'tool': tool_name, 'reason': f'命令构建失败: {e}'}) continue timeout = tool_config.get('timeout', 600) if timeout == 'auto': timeout = 600 logger.info("✓ 工具 %s 使用默认 timeout: %d秒", tool_name, timeout) logger.debug("提交任务 - 工具: %s, 超时: %ds, 输出: %s", tool_name, timeout, output_file) user_log(scan_id, "subdomain_discovery", f"Running {tool_name}: {command}") future = run_subdomain_discovery_task.submit( tool=tool_name, command=command, timeout=timeout, output_file=output_file ) futures[tool_name] = future if not futures: logger.warning("所有扫描工具均无法启动 - 目标: %s", domain_name) return [], [{'tool': 'all', 'reason': '所有工具均无法启动'}], [] result_files = [] for tool_name, future in futures.items(): try: result = future.result() if result: result_files.append(result) logger.info("✓ 扫描工具 %s 执行成功: %s", tool_name, result) user_log(scan_id, "subdomain_discovery", f"{tool_name} completed") else: failed_tools.append({'tool': tool_name, 'reason': '未生成结果文件'}) logger.warning("⚠️ 扫描工具 %s 未生成结果文件", tool_name) user_log(scan_id, "subdomain_discovery", f"{tool_name} failed: no output", "error") except (subprocess.TimeoutExpired, OSError) as e: failed_tools.append({'tool': tool_name, 'reason': str(e)}) logger.warning("⚠️ 扫描工具 %s 执行失败: %s", tool_name, e) user_log(scan_id, "subdomain_discovery", f"{tool_name} failed: {e}", "error") successful_tools = [name for name in futures if name not in [f['tool'] for f in failed_tools]] logger.info( "✓ 扫描工具并行执行完成 - 成功: %d/%d", len(result_files), len(futures) ) return result_files, failed_tools, successful_tools def _generate_provider_config(result_dir: Path, scan_id: int) -> Optional[str]: """为 subfinder 生成第三方数据源配置""" try: from apps.scan.services.subfinder_provider_config_service import ( SubfinderProviderConfigService, ) config_path = SubfinderProviderConfigService().generate(str(result_dir)) if config_path: logger.info("Provider 配置文件已生成: %s", config_path) user_log(scan_id, "subdomain_discovery", "Provider config generated for subfinder") return config_path except (ImportError, OSError) as e: logger.warning("生成 Provider 配置文件失败: %s", e) return None def _run_stage1_passive(ctx: ScanContext, enabled_tools: dict, provider_config: Optional[str]): """Stage 1: 被动收集（并行）""" if not enabled_tools: return logger.info("=" * 40) logger.info("Stage 1: 被动收集（并行）") logger.info("=" * 40) logger.info("启用工具: %s", ', '.join(enabled_tools.keys())) user_log( ctx.scan_id, "subdomain_discovery", f"Stage 1: passive collection ({', '.join(enabled_tools.keys())})" ) result_files, failed, successful = _run_scans_parallel( enabled_tools=enabled_tools, domain_name=ctx.domain_name, result_dir=ctx.result_dir, scan_id=ctx.scan_id, provider_config_path=provider_config ) ctx.failed_tools.extend(failed) ctx.successful_tools.extend(successful) ctx.executed_tasks.extend([f'passive ({tool})' for tool in successful]) # 合并结果 ctx.current_result = str(ctx.result_dir / f"subs_passive_{ctx.timestamp}.txt") if result_files: ctx.current_result = _merge_files(result_files, ctx.current_result) ctx.executed_tasks.append('merge_passive') else: Path(ctx.current_result).touch() def _run_stage2_bruteforce(ctx: ScanContext, bruteforce_config: dict): """Stage 2: 字典爆破（可选）""" if not bruteforce_config.get('enabled', False): return logger.info("=" * 40) logger.info("Stage 2: 字典爆破") logger.info("=" * 40) user_log(ctx.scan_id, "subdomain_discovery", "Stage 2: bruteforce") tool_config = bruteforce_config.get('subdomain_bruteforce', {}) wordlist_name = tool_config.get('wordlist_name', 'dns_wordlist.txt') try: local_wordlist_path = ensure_wordlist_local(wordlist_name) # 计算 timeout timeout_value = tool_config.get('timeout', 3600) if timeout_value == 'auto': wordlist = WordlistService().get_wordlist_by_name(wordlist_name) line_count = getattr(wordlist, 'line_count', None) if wordlist else None if line_count is None: line_count = _calculate_auto_timeout(local_wordlist_path, 1, 0) timeout_value = int(line_count) * 3 if line_count else 3600 tool_config = {**tool_config, 'timeout': timeout_value} result = _run_single_tool( tool_name='subdomain_bruteforce', tool_config=tool_config, command_params={'domain': ctx.domain_name, 'wordlist': local_wordlist_path}, result_dir=ctx.result_dir, scan_id=ctx.scan_id ) if result: ctx.current_result = _merge_files( [ctx.current_result, result], str(ctx.result_dir / f"subs_merged_{ctx.timestamp}.txt") ) ctx.successful_tools.append('subdomain_bruteforce') ctx.executed_tasks.append('bruteforce') logger.info("✓ subdomain_bruteforce 执行完成") user_log(ctx.scan_id, "subdomain_discovery", "subdomain_bruteforce completed") else: ctx.failed_tools.append({'tool': 'subdomain_bruteforce', 'reason': '执行失败'}) logger.warning("⚠️ subdomain_bruteforce 执行失败") user_log(ctx.scan_id, "subdomain_discovery", "subdomain_bruteforce failed", "error") except (ValueError, OSError) as exc: ctx.failed_tools.append({'tool': 'subdomain_bruteforce', 'reason': str(exc)}) logger.warning("字典准备失败，跳过字典爆破: %s", exc) user_log(ctx.scan_id, "subdomain_discovery", f"subdomain_bruteforce failed: {exc}", "error") def _run_stage3_permutation(ctx: ScanContext, permutation_config: dict): """Stage 3: 变异生成 + 验证（可选）""" if not permutation_config.get('enabled', False): return logger.info("=" * 40) logger.info("Stage 3: 变异生成 + 存活验证（流式管道）") logger.info("=" * 40) user_log(ctx.scan_id, "subdomain_discovery", "Stage 3: permutation + resolve") tool_config = permutation_config.get('subdomain_permutation_resolve', {}) before_count = _count_lines(ctx.current_result) sample_size = before_count * _SAMPLE_MULTIPLIER max_allowed = before_count * _EXPANSION_THRESHOLD sample_output = str(ctx.result_dir / f"subs_permuted_sample_{ctx.timestamp}.txt") sample_cmd = ( f"cat {ctx.current_result} | dnsgen - | head -n {sample_size} | " f"puredns resolve -r /app/backend/resources/resolvers.txt " f"--write {sample_output} --wildcard-tests 50 --wildcard-batch 1000000 --quiet" ) logger.info( "泛解析采样检测: 原文件 %d 个, 采样 %d 个, 阈值 %d 个", before_count, sample_size, max_allowed ) try: subprocess.run( sample_cmd, shell=True, # noqa: S602 timeout=_SAMPLE_TIMEOUT, check=False, capture_output=True ) sample_count = _count_lines(sample_output) if Path(sample_output).exists() else 0 logger.info( "采样结果: %d 个域名存活 (原文件: %d, 阈值: %d)", sample_count, before_count, max_allowed ) if sample_count > max_allowed: ratio = sample_count / before_count if before_count > 0 else sample_count logger.warning( "跳过变异: 采样检测到泛解析 (%d > %d, 膨胀率 %.1fx)", sample_count, max_allowed, ratio ) ctx.failed_tools.append({ 'tool': 'subdomain_permutation_resolve', 'reason': f"采样检测到泛解析 (膨胀率 {ratio:.1f}x)" }) user_log( ctx.scan_id, "subdomain_discovery", f"subdomain_permutation_resolve skipped: wildcard (ratio {ratio:.1f}x)", "warning" ) return # 采样通过，执行完整变异 logger.info("采样检测通过，执行完整变异...") result = _run_single_tool( tool_name='subdomain_permutation_resolve', tool_config=tool_config, command_params={'input_file': ctx.current_result}, result_dir=ctx.result_dir, scan_id=ctx.scan_id ) if result: ctx.current_result = _merge_files( [ctx.current_result, result], str(ctx.result_dir / f"subs_with_permuted_{ctx.timestamp}.txt") ) ctx.successful_tools.append('subdomain_permutation_resolve') ctx.executed_tasks.append('permutation') logger.info("✓ subdomain_permutation_resolve 执行完成") user_log(ctx.scan_id, "subdomain_discovery", "subdomain_permutation_resolve completed") else: ctx.failed_tools.append({'tool': 'subdomain_permutation_resolve', 'reason': '执行失败'}) logger.warning("⚠️ subdomain_permutation_resolve 执行失败") user_log( ctx.scan_id, "subdomain_discovery", "subdomain_permutation_resolve failed", "error" ) except subprocess.TimeoutExpired: ctx.failed_tools.append({'tool': 'subdomain_permutation_resolve', 'reason': '采样检测超时'}) logger.warning("采样检测超时 (%d秒)，跳过变异", _SAMPLE_TIMEOUT) user_log( ctx.scan_id, "subdomain_discovery", "subdomain_permutation_resolve failed: timeout", "error" ) except OSError as e: ctx.failed_tools.append({'tool': 'subdomain_permutation_resolve', 'reason': f'采样检测失败: {e}'}) logger.warning("采样检测失败: %s，跳过变异", e) user_log(ctx.scan_id, "subdomain_discovery", f"subdomain_permutation_resolve failed: {e}", "error") def _run_stage4_resolve(ctx: ScanContext, resolve_config: dict): """Stage 4: DNS 存活验证（可选）""" if not resolve_config.get('enabled', False): return logger.info("=" * 40) logger.info("Stage 4: DNS 存活验证") logger.info("=" * 40) user_log(ctx.scan_id, "subdomain_discovery", "Stage 4: DNS resolve") tool_config = resolve_config.get('subdomain_resolve', {}) # 动态计算 timeout timeout_value = tool_config.get('timeout', 3600) if timeout_value == 'auto': timeout_value = _calculate_auto_timeout(ctx.current_result, 3, 3600) tool_config = {**tool_config, 'timeout': timeout_value} result = _run_single_tool( tool_name='subdomain_resolve', tool_config=tool_config, command_params={'input_file': ctx.current_result}, result_dir=ctx.result_dir, scan_id=ctx.scan_id ) if result: ctx.current_result = result ctx.successful_tools.append('subdomain_resolve') ctx.executed_tasks.append('resolve') logger.info("✓ subdomain_resolve 执行完成") user_log(ctx.scan_id, "subdomain_discovery", "subdomain_resolve completed") else: ctx.failed_tools.append({'tool': 'subdomain_resolve', 'reason': '执行失败'}) logger.warning("⚠️ subdomain_resolve 执行失败") user_log(ctx.scan_id, "subdomain_discovery", "subdomain_resolve failed", "error") def _save_to_database(ctx: ScanContext) -> int: """Final: 保存到数据库""" from apps.scan.tasks.subdomain_discovery import merge_and_validate_task, save_domains_task logger.info("=" * 40) logger.info("Final: 保存到数据库") logger.info("=" * 40) final_file = merge_and_validate_task( result_files=[ctx.current_result], result_dir=str(ctx.result_dir) ) save_result = save_domains_task( domains_file=final_file, scan_id=ctx.scan_id, target_id=ctx.target_id ) ctx.executed_tasks.append('save_domains') return save_result.get('processed_records', 0) def _empty_result(scan_id: int, target: str, scan_workspace_dir: str) -> dict: """返回空结果""" return { 'success': True, 'scan_id': scan_id, 'target': target, 'scan_workspace_dir': scan_workspace_dir, 'total': 0, 'executed_tasks': [], 'tool_stats': { 'total': 0, 'successful': 0, 'failed': 0, 'successful_tools': [], 'failed_tools': [] } } @flow( name="subdomain_discovery", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def subdomain_discovery_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict ) -> dict: """子域名发现扫描流程 工作流程（4 阶段）： Stage 1: 被动收集（并行） - 必选 Stage 2: 字典爆破（可选） - 子域名字典爆破 Stage 3: 变异生成 + 验证（可选） - dnsgen + 通用存活验证 Stage 4: DNS 存活验证（可选） - 通用存活验证 Final: 保存到数据库 注意： - 子域名发现只对 DOMAIN 类型目标有意义 - IP 和 CIDR 类型目标会自动跳过 """ try: wait_for_system_load(context="subdomain_discovery_flow") # 参数验证 if scan_id is None: raise ValueError("scan_id 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") if enabled_tools is None: raise ValueError("enabled_tools 不能为空") if not target_name: logger.warning("未提供目标域名，跳过子域名发现扫描") return _empty_result(scan_id, '', scan_workspace_dir) # 检查 Target 类型 from apps.targets.models import Target from apps.targets.services import TargetService target = TargetService().get_target(target_id) if target and target.type != Target.TargetType.DOMAIN: logger.info( "跳过子域名发现扫描: Target 类型为 %s (ID=%d)，仅适用于域名类型", target.type, target_id ) return _empty_result(scan_id, target_name, scan_workspace_dir) # 验证并规范化目标域名 try: domain_name = _validate_and_normalize_target(target_name) except ValueError as e: logger.warning("目标域名无效，跳过子域名发现扫描: %s", e) return _empty_result(scan_id, target_name, scan_workspace_dir) # 准备工作目录 from apps.scan.utils import setup_scan_directory result_dir = setup_scan_directory(scan_workspace_dir, 'subdomain_discovery') logger.info( "开始子域名发现扫描 - Scan ID: %s, Domain: %s, Workspace: %s", scan_id, domain_name, scan_workspace_dir ) user_log(scan_id, "subdomain_discovery", f"Starting subdomain discovery for {domain_name}") # 解析配置 scan_config = enabled_tools passive_tools = scan_config.get('passive_tools', {}) bruteforce_config = scan_config.get('bruteforce', {}) permutation_config = scan_config.get('permutation', {}) resolve_config = scan_config.get('resolve', {}) enabled_passive_tools = { k: v for k, v in passive_tools.items() if v.get('enabled', True) } # 创建扫描上下文 ctx = ScanContext( scan_id=scan_id, target_id=target_id, domain_name=domain_name, result_dir=result_dir, timestamp=datetime.now().strftime('%Y%m%d_%H%M%S') ) # 生成 Provider 配置 provider_config = _generate_provider_config(result_dir, scan_id) # 执行各阶段 _run_stage1_passive(ctx, enabled_passive_tools, provider_config) _run_stage2_bruteforce(ctx, bruteforce_config) _run_stage3_permutation(ctx, permutation_config) _run_stage4_resolve(ctx, resolve_config) # 保存到数据库 processed_domains = _save_to_database(ctx) logger.info("✓ 子域名发现扫描完成") user_log( scan_id, "subdomain_discovery", f"subdomain_discovery completed: found {processed_domains} subdomains" ) # 计算工具总数 total_tools = len(enabled_passive_tools) if bruteforce_config.get('enabled', False): total_tools += 1 if permutation_config.get('enabled', False): total_tools += 1 if resolve_config.get('enabled', False): total_tools += 1 return { 'success': True, 'scan_id': scan_id, 'target': domain_name, 'scan_workspace_dir': scan_workspace_dir, 'total': processed_domains, 'executed_tasks': ctx.executed_tasks, 'tool_stats': { 'total': total_tools, 'successful': len(ctx.successful_tools), 'failed': len(ctx.failed_tools), 'successful_tools': ctx.successful_tools, 'failed_tools': ctx.failed_tools } } except ValueError as e: logger.error("配置错误: %s", e) raise except RuntimeError as e: logger.error("运行时错误: %s", e) raise ================================================ FILE: backend/apps/scan/flows/url_fetch/__init__.py ================================================ """ URL Fetch Flow 模块 提供 URL 获取相关的 Flow： - url_fetch_flow: 主 Flow（按输入类型编排 + 统一后处理） - domain_name_url_fetch_flow: 基于 domain_name（来自 target_name）输入的 URL 获取子 Flow（如 waymore） - sites_url_fetch_flow: 基于 sites_file 输入的 URL 获取子 Flow（如 katana 等爬虫） """ from .main_flow import url_fetch_flow from .domain_name_url_fetch_flow import domain_name_url_fetch_flow from .sites_url_fetch_flow import sites_url_fetch_flow __all__ = [ 'url_fetch_flow', 'domain_name_url_fetch_flow', 'sites_url_fetch_flow', ] ================================================ FILE: backend/apps/scan/flows/url_fetch/domain_name_url_fetch_flow.py ================================================ """ 基于 Target 根域名的 URL 被动收集 Flow 用于 waymore 等被动收集工具： - 输入：Target 的根域名（target_name，如 example.com） - 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 - 不需要遍历子域名列表，工具内部会处理 *.example.com 注意： - 此 Flow 只对 DOMAIN 类型 Target 有效 - IP 和 CIDR 类型会自动跳过（被动收集工具不支持） """ # Django 环境初始化 from apps.common.prefect_django_setup import setup_django_for_prefect import logging import uuid from datetime import datetime from pathlib import Path from typing import Dict from prefect import flow from apps.common.validators import validate_domain from apps.scan.tasks.url_fetch import run_url_fetcher_task from apps.scan.utils import build_scan_command logger = logging.getLogger(__name__) @flow(name="domain_name_url_fetch_flow", log_prints=True) def domain_name_url_fetch_flow( scan_id: int, target_id: int, target_name: str, output_dir: str, domain_name_tools: Dict[str, dict], ) -> dict: """ 基于 Target 根域名执行 URL 被动收集（当前主要用于 waymore） 执行流程： 1. 校验 Target 类型（IP/CIDR 类型跳过） 2. 使用传入的工具列表对根域名执行被动收集 3. 工具内部会自动查询该域名及其子域名的历史 URL 4. 汇总结果文件列表 Args: scan_id: 扫描 ID target_id: 目标 ID target_name: Target 根域名（如 example.com），不是子域名列表 output_dir: 输出目录 domain_name_tools: 被动收集工具配置（如 waymore） 注意： - 此 Flow 只对 DOMAIN 类型 Target 有效 - IP 和 CIDR 类型会自动跳过（waymore 等工具不支持） - 工具会自动收集 *.target_name 的所有历史 URL，无需遍历子域名 """ from apps.scan.utils import user_log try: output_path = Path(output_dir) output_path.mkdir(parents=True, exist_ok=True) # 检查 Target 类型，IP/CIDR 类型跳过 from apps.targets.services import TargetService from apps.targets.models import Target target_service = TargetService() target = target_service.get_target(target_id) if target and target.type != Target.TargetType.DOMAIN: logger.info( "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", target.type, target_id, target_name ) return { "success": True, "result_files": [], "failed_tools": [], "successful_tools": [], } # 复用公共域名校验逻辑，确保 target_name 是合法域名 validate_domain(target_name) logger.info( "开始基于 domain_name 的 URL 获取 - Target: %s, Tools: %s", target_name, ", ".join(domain_name_tools.keys()) if domain_name_tools else "无", ) futures: dict[str, object] = {} failed_tools: list[dict] = [] # 提交所有基于域名的 URL 获取任务 for tool_name, tool_config in domain_name_tools.items(): timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") short_uuid = uuid.uuid4().hex[:4] output_file = str(output_path / f"{tool_name}_{timestamp}_{short_uuid}.txt") command_params = { "domain_name": target_name, "output_file": output_file, } try: command = build_scan_command( tool_name=tool_name, scan_type="url_fetch", command_params=command_params, tool_config=tool_config, ) except Exception as e: logger.error("构建 %s 命令失败: %s", tool_name, e) failed_tools.append({"tool": tool_name, "reason": f"命令构建失败: {e}"}) continue # 计算超时时间：domain_name 模式下，没有行数统计，auto 使用固定超时 raw_timeout = tool_config.get("timeout", 3600) timeout = 3600 if isinstance(raw_timeout, str) and raw_timeout == "auto": timeout = 3600 logger.info( "工具 %s 使用固定自动超时: %d 秒 (domain_name 模式)", tool_name, timeout, ) else: try: timeout = int(raw_timeout) except (TypeError, ValueError): logger.warning( "工具 %s 的 timeout 配置无效(%s)，将使用默认 3600 秒", tool_name, raw_timeout, ) timeout = 3600 logger.info( "提交任务 - 工具: %s, domain_name: %s, 超时: %d秒", tool_name, target_name, timeout, ) # 记录工具开始执行日志 user_log(scan_id, "url_fetch", f"Running {tool_name}: {command}") future = run_url_fetcher_task.submit( tool_name=tool_name, command=command, timeout=timeout, output_file=output_file, ) futures[tool_name] = future result_files: list[str] = [] successful_tools: list[str] = [] # 收集执行结果 for tool_name, future in futures.items(): try: result = future.result() if result and result.get("success"): result_files.append(result["output_file"]) successful_tools.append(tool_name) url_count = result.get("url_count", 0) logger.info( "✓ 工具 %s 执行成功 - 发现 URL: %d", tool_name, url_count, ) user_log(scan_id, "url_fetch", f"{tool_name} completed: found {url_count} urls") else: reason = "未生成结果或无有效 URL" failed_tools.append( { "tool": tool_name, "reason": reason, } ) logger.warning("⚠️ 工具 %s 未生成有效结果", tool_name) user_log(scan_id, "url_fetch", f"{tool_name} failed: {reason}", "error") except Exception as e: reason = str(e) failed_tools.append({"tool": tool_name, "reason": reason}) logger.warning("⚠️ 工具 %s 执行失败: %s", tool_name, e) user_log(scan_id, "url_fetch", f"{tool_name} failed: {reason}", "error") logger.info( "基于 domain_name 的 URL 获取完成 - 成功工具: %s, 失败工具: %s", successful_tools or "无", [f["tool"] for f in failed_tools] or "无", ) return { "success": True, "result_files": result_files, "failed_tools": failed_tools, "successful_tools": successful_tools, } except Exception as e: logger.error("domain_name URL 获取失败: %s", e, exc_info=True) return { "success": False, "result_files": [], "failed_tools": [ {"tool": "domain_name_url_fetch_flow", "reason": str(e)}, ], "successful_tools": [], } ================================================ FILE: backend/apps/scan/flows/url_fetch/main_flow.py ================================================ """ URL Fetch 主 Flow 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） 架构： - 调用 domain_name_url_fetch_flow（domain_name 输入）和 sites_url_fetch_flow（sites_file 输入） - 合并多个子 Flow 的结果 - 统一进行 uro 去重（如果启用） - 统一进行 httpx 验证（如果启用） """ import logging from datetime import datetime from pathlib import Path from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_completed, on_scan_flow_failed, on_scan_flow_running, ) from apps.scan.utils import user_log, wait_for_system_load from .domain_name_url_fetch_flow import domain_name_url_fetch_flow from .sites_url_fetch_flow import sites_url_fetch_flow from .utils import calculate_timeout_by_line_count logger = logging.getLogger(__name__) # ==================== 工具分类配置 ==================== # 使用 target_name (domain_name) 作为输入的 URL 获取工具 DOMAIN_NAME_TOOLS = {'waymore'} # 使用 sites_file 作为输入的 URL 获取工具 SITES_FILE_TOOLS = {'katana'} # 后处理工具：不参与获取，用于清理和验证 POST_PROCESS_TOOLS = {'uro', 'httpx'} def _classify_tools(enabled_tools: dict) -> tuple[dict, dict, dict, dict]: """ 将启用的工具按输入类型分类 Returns: tuple: (domain_name_tools, sites_file_tools, uro_config, httpx_config) """ domain_name_tools: dict = {} sites_file_tools: dict = {} uro_config = None httpx_config = None for tool_name, tool_config in enabled_tools.items(): if tool_name in DOMAIN_NAME_TOOLS: domain_name_tools[tool_name] = tool_config elif tool_name in SITES_FILE_TOOLS: sites_file_tools[tool_name] = tool_config elif tool_name == 'uro': uro_config = tool_config elif tool_name == 'httpx': httpx_config = tool_config else: logger.warning("未知工具类型: %s，跳过", tool_name) return domain_name_tools, sites_file_tools, uro_config, httpx_config def _merge_and_deduplicate_urls(result_files: list, url_fetch_dir: Path) -> tuple[str, int]: """合并并去重 URL""" from apps.scan.tasks.url_fetch import merge_and_deduplicate_urls_task merged_file = merge_and_deduplicate_urls_task( result_files=result_files, result_dir=str(url_fetch_dir) ) # 统计唯一 URL 数量 unique_url_count = 0 if Path(merged_file).exists(): with open(merged_file, 'r', encoding='utf-8') as f: unique_url_count = sum(1 for line in f if line.strip()) logger.info( "✓ URL 合并去重完成 - 合并文件: %s, 唯一 URL 数: %d", merged_file, unique_url_count ) return merged_file, unique_url_count def _clean_urls_with_uro( merged_file: str, uro_config: dict, url_fetch_dir: Path ) -> tuple[str, int, int]: """使用 uro 清理合并后的 URL 列表""" from apps.scan.tasks.url_fetch import clean_urls_task raw_timeout = uro_config.get('timeout', 60) whitelist = uro_config.get('whitelist') blacklist = uro_config.get('blacklist') filters = uro_config.get('filters') # 计算超时时间 if isinstance(raw_timeout, str) and raw_timeout == 'auto': timeout = calculate_timeout_by_line_count( tool_config=uro_config, file_path=merged_file, base_per_time=1, min_timeout=60, ) 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) else: try: timeout = int(raw_timeout) except (TypeError, ValueError): logger.warning("uro timeout 配置无效(%s)，使用默认 60 秒", raw_timeout) timeout = 60 result = clean_urls_task( input_file=merged_file, output_dir=str(url_fetch_dir), timeout=timeout, whitelist=whitelist, blacklist=blacklist, filters=filters ) if result['success']: return result['output_file'], result['output_count'], result['removed_count'] logger.warning("uro 清理失败: %s，使用原始合并文件", result.get('error', '未知错误')) return merged_file, result['input_count'], 0 def _validate_and_stream_save_urls( merged_file: str, httpx_config: dict, url_fetch_dir: Path, scan_id: int, target_id: int ) -> int: """使用 httpx 验证 URL 存活并流式保存到数据库""" from apps.scan.utils import build_scan_command from apps.scan.tasks.url_fetch import run_and_stream_save_urls_task logger.info("开始使用 httpx 验证 URL 存活状态...") # 统计待验证的 URL 数量 try: with open(merged_file, 'r', encoding='utf-8') as f: url_count = sum(1 for _ in f) logger.info("待验证 URL 数量: %d", url_count) except OSError as e: logger.error("读取 URL 文件失败: %s", e) return 0 if url_count == 0: logger.warning("没有需要验证的 URL") return 0 # 构建 httpx 命令 command_params = {'url_file': merged_file} try: command = build_scan_command( tool_name='httpx', scan_type='url_fetch', command_params=command_params, tool_config=httpx_config ) except (ValueError, KeyError) as e: logger.error("构建 httpx 命令失败: %s", e) logger.warning("降级处理：将直接保存所有 URL（不验证存活）") return _save_urls_to_database(merged_file, scan_id, target_id) # 计算超时时间 raw_timeout = httpx_config.get('timeout', 'auto') if isinstance(raw_timeout, str) and raw_timeout == 'auto': # 按 URL 行数计算超时时间：每行 3 秒，最小 60 秒 timeout = max(60, url_count * 3) logger.info( "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", url_count, timeout ) else: try: timeout = int(raw_timeout) except (TypeError, ValueError): timeout = 3600 logger.info("使用配置的 httpx 超时时间: %d 秒", timeout) # 生成日志文件路径 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') log_file = url_fetch_dir / f"httpx_validation_{timestamp}.log" # 流式执行 result = run_and_stream_save_urls_task( cmd=command, tool_name='httpx', scan_id=scan_id, target_id=target_id, cwd=str(url_fetch_dir), shell=True, timeout=timeout, log_file=str(log_file) ) saved = result.get('saved_urls', 0) logger.info( "✓ httpx 验证完成 - 存活 URL: %d (%.1f%%)", saved, (saved / url_count * 100) if url_count > 0 else 0 ) return saved def _save_urls_to_database(merged_file: str, scan_id: int, target_id: int) -> int: """保存 URL 到数据库（不验证存活）""" from apps.scan.tasks.url_fetch import save_urls_task result = save_urls_task( urls_file=merged_file, scan_id=scan_id, target_id=target_id ) saved_count = result.get('saved_urls', 0) logger.info("✓ URL 保存完成 - 保存数量: %d", saved_count) return saved_count @flow( name="url_fetch", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def url_fetch_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: dict ) -> dict: """ URL 获取主 Flow 执行流程： 1. 准备工作目录 2. 按输入类型分类工具（domain_name / sites_file / 后处理） 3. 并行执行子 Flow - domain_name_url_fetch_flow: 基于 domain_name（来自 target_name）执行 URL 获取（如 waymore） - sites_url_fetch_flow: 基于 sites_file 执行爬虫（如 katana 等） 4. 合并所有子 Flow 的结果并去重 5. uro 去重（如果启用） 6. httpx 验证（如果启用） Args: scan_id: 扫描 ID target_name: 目标名称 target_id: 目标 ID scan_workspace_dir: 扫描工作目录 enabled_tools: 启用的工具配置 Returns: dict: 扫描结果 """ try: # 负载检查：等待系统资源充足 wait_for_system_load(context="url_fetch_flow") logger.info( "开始 URL 获取扫描 - Scan ID: %s, Target: %s, Workspace: %s", scan_id, target_name, scan_workspace_dir ) user_log(scan_id, "url_fetch", "Starting URL fetch") # Step 1: 准备工作目录 from apps.scan.utils import setup_scan_directory url_fetch_dir = setup_scan_directory(scan_workspace_dir, 'url_fetch') # Step 2: 分类工具（按输入类型） domain_name_tools, sites_file_tools, uro_config, httpx_config = _classify_tools(enabled_tools) logger.info( "工具分类 - domain_name: %s, sites_file: %s, uro: %s, httpx: %s", list(domain_name_tools.keys()) or '无', list(sites_file_tools.keys()) or '无', '启用' if uro_config else '未启用', '启用' if httpx_config else '未启用' ) # 检查是否有获取工具 if not domain_name_tools and not sites_file_tools: raise ValueError( "URL Fetch 流程需要至少启用一个 URL 获取工具（如 waymore, katana）。" "httpx 和 uro 仅用于后处理，不能单独使用。" ) # Step 3: 执行子 Flow all_result_files = [] all_failed_tools = [] all_successful_tools = [] # 3a: 基于 domain_name 的 URL 被动收集（如 waymore） if domain_name_tools: tn_result = domain_name_url_fetch_flow( scan_id=scan_id, target_id=target_id, target_name=target_name, output_dir=str(url_fetch_dir), domain_name_tools=domain_name_tools, ) all_result_files.extend(tn_result.get('result_files', [])) all_failed_tools.extend(tn_result.get('failed_tools', [])) all_successful_tools.extend(tn_result.get('successful_tools', [])) # 3b: 爬虫（以 sites_file 为输入） if sites_file_tools: crawl_result = sites_url_fetch_flow( scan_id=scan_id, target_id=target_id, target_name=target_name, output_dir=str(url_fetch_dir), enabled_tools=sites_file_tools ) all_result_files.extend(crawl_result.get('result_files', [])) all_failed_tools.extend(crawl_result.get('failed_tools', [])) all_successful_tools.extend(crawl_result.get('successful_tools', [])) # 检查是否有成功的工具 if not all_result_files: error_details = "; ".join([ "%s: %s" % (f['tool'], f['reason']) for f in all_failed_tools ]) logger.warning("所有 URL 获取工具均失败 - 目标: %s, 失败详情: %s", target_name, error_details) return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'unique_url_count': 0, 'valid_url_count': 0, 'failed_tools': all_failed_tools, 'successful_tools': [], 'message': '所有 URL 获取工具均无结果' } # Step 4: 合并并去重 URL merged_file, _ = _merge_and_deduplicate_urls( result_files=all_result_files, url_fetch_dir=url_fetch_dir ) # Step 5: 使用 uro 清理 URL（如果启用） url_file_for_validation = merged_file if uro_config and uro_config.get('enabled', False): url_file_for_validation, _, _ = _clean_urls_with_uro( merged_file=merged_file, uro_config=uro_config, url_fetch_dir=url_fetch_dir ) # Step 6: 使用 httpx 验证存活并保存（如果启用） if httpx_config and httpx_config.get('enabled', False): saved_count = _validate_and_stream_save_urls( merged_file=url_file_for_validation, httpx_config=httpx_config, url_fetch_dir=url_fetch_dir, scan_id=scan_id, target_id=target_id ) else: saved_count = _save_urls_to_database( merged_file=url_file_for_validation, scan_id=scan_id, target_id=target_id ) # 记录 Flow 完成 logger.info("✓ URL 获取完成 - 保存 endpoints: %d", saved_count) user_log(scan_id, "url_fetch", "url_fetch completed: found %d endpoints" % saved_count) # 构建已执行的任务列表 executed_tasks = ['setup_directory', 'classify_tools'] if domain_name_tools: executed_tasks.append('domain_name_url_fetch_flow') if sites_file_tools: executed_tasks.append('sites_url_fetch_flow') executed_tasks.append('merge_and_deduplicate') if uro_config and uro_config.get('enabled', False): executed_tasks.append('uro_clean') if httpx_config and httpx_config.get('enabled', False): executed_tasks.append('httpx_validation_and_save') else: executed_tasks.append('save_urls') return { 'success': True, 'scan_id': scan_id, 'target': target_name, 'scan_workspace_dir': scan_workspace_dir, 'total': saved_count, 'executed_tasks': executed_tasks, 'tool_stats': { 'total': len(domain_name_tools) + len(sites_file_tools), 'successful': len(all_successful_tools), 'failed': len(all_failed_tools), 'successful_tools': all_successful_tools, 'failed_tools': [f['tool'] for f in all_failed_tools] } } except Exception as e: logger.error("URL 获取扫描失败: %s", e, exc_info=True) raise ================================================ FILE: backend/apps/scan/flows/url_fetch/sites_url_fetch_flow.py ================================================ """ URL 爬虫 Flow 主动爬取网站页面，提取 URL 和 JS 端点 工具：katana, gospider, hakrawler 等 输入：sites_file（站点 URL 列表） """ # Django 环境初始化 from apps.common.prefect_django_setup import setup_django_for_prefect import logging from pathlib import Path from prefect import flow from .utils import run_tools_parallel logger = logging.getLogger(__name__) def _export_sites_file(target_id: int, scan_id: int, target_name: str, output_dir: Path) -> tuple[str, int]: """ 导出站点 URL 列表到文件 懒加载模式：如果 WebSite 表为空，根据 Target 类型生成默认 URL Args: target_id: 目标 ID scan_id: 扫描 ID target_name: 目标名称（用于懒加载） output_dir: 输出目录 Returns: tuple: (file_path, count) """ from apps.scan.tasks.url_fetch import export_sites_task output_file = str(output_dir / "sites.txt") result = export_sites_task( output_file=output_file, target_id=target_id, scan_id=scan_id ) count = result['asset_count'] if count > 0: logger.info("✓ 站点列表导出完成 - 数量: %d", count) else: logger.warning("站点列表为空，爬虫可能无法正常工作") return output_file, count @flow(name="sites_url_fetch_flow", log_prints=True) def sites_url_fetch_flow( scan_id: int, target_id: int, target_name: str, output_dir: str, enabled_tools: dict ) -> dict: """ URL 爬虫子 Flow 执行流程： 1. 导出站点 URL 列表（sites_file） 2. 并行执行爬虫工具 3. 返回结果文件列表 Args: scan_id: 扫描 ID target_id: 目标 ID target_name: 目标名称 output_dir: 输出目录 enabled_tools: 启用的爬虫工具配置 Returns: dict: { 'success': bool, 'result_files': list, 'failed_tools': list, 'successful_tools': list, 'sites_count': int } """ try: output_path = Path(output_dir) logger.info( "开始 URL 爬虫 - Target: %s, Tools: %s", target_name, ', '.join(enabled_tools.keys()) ) # Step 1: 导出站点 URL 列表 sites_file, sites_count = _export_sites_file( target_id=target_id, scan_id=scan_id, target_name=target_name, output_dir=output_path ) # 默认值模式下，即使原本没有站点，也会有默认 URL 作为输入 if sites_count == 0: logger.warning("没有可用的站点，跳过爬虫") return { 'success': True, 'result_files': [], 'failed_tools': [], 'successful_tools': [], 'sites_count': 0 } # Step 2: 并行执行爬虫工具 result_files, failed_tools, successful_tools = run_tools_parallel( tools=enabled_tools, input_file=sites_file, input_type="sites_file", output_dir=output_path, scan_id=scan_id ) logger.info( "✓ 爬虫完成 - 成功: %d/%d, 结果文件: %d", len(successful_tools), len(enabled_tools), len(result_files) ) return { 'success': True, 'result_files': result_files, 'failed_tools': failed_tools, 'successful_tools': successful_tools, 'sites_count': sites_count } except Exception as e: logger.error("URL 爬虫失败: %s", e, exc_info=True) return { 'success': False, 'result_files': [], 'failed_tools': [{'tool': 'sites_url_fetch_flow', 'reason': str(e)}], 'successful_tools': [], 'sites_count': 0 } ================================================ FILE: backend/apps/scan/flows/url_fetch/utils.py ================================================ """ URL Fetch 共享工具函数 """ import logging import subprocess import uuid from datetime import datetime from pathlib import Path from apps.scan.utils import build_scan_command logger = logging.getLogger(__name__) def calculate_timeout_by_line_count( tool_config: dict, file_path: str, base_per_time: int = 1, min_timeout: int = 60, ) -> int: """ 根据文件行数自动计算超时时间 Args: tool_config: 工具配置（保留参数，未来可能用于更复杂的计算） file_path: 输入文件路径 base_per_time: 每行的基础时间（秒） min_timeout: 最小超时时间（秒），默认60秒 Returns: int: 计算出的超时时间（秒），不低于 min_timeout """ try: result = subprocess.run( ['wc', '-l', file_path], capture_output=True, text=True, check=True, ) line_count = int(result.stdout.strip().split()[0]) timeout = max(line_count * base_per_time, min_timeout) logger.info( "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", file_path, line_count, base_per_time, min_timeout, timeout, ) return timeout except Exception as e: logger.warning("wc -l 计算行数失败: %s，将使用默认 timeout: %d秒", e, min_timeout) return min_timeout def prepare_tool_execution( tool_name: str, tool_config: dict, input_file: str, input_type: str, output_dir: Path, scan_type: str = "url_fetch" ) -> dict: """ 准备单个工具的执行参数 Args: tool_name: 工具名称 tool_config: 工具配置 input_file: 输入文件路径 input_type: 输入类型（domains_file 或 sites_file） output_dir: 输出目录 scan_type: 扫描类型 Returns: dict: 执行参数，包含 command, input_file, output_file, timeout 或包含 error 键表示失败 """ # 1. 统计输入文件行数 try: with open(input_file, 'r') as f: input_count = sum(1 for _ in f) logger.info("工具 %s - 输入类型: %s, 数量: %d", tool_name, input_type, input_count) except Exception as e: return {"error": f"读取输入文件失败: {e}"} # 2. 生成输出文件路径（带时间戳和短 UUID 后缀） timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") short_uuid = uuid.uuid4().hex[:4] output_file = str(output_dir / f"{tool_name}_{timestamp}_{short_uuid}.txt") # 3. 构建命令 command_params = { input_type: input_file, "output_file": output_file, } try: command = build_scan_command( tool_name=tool_name, scan_type=scan_type, command_params=command_params, tool_config=tool_config, ) except Exception as e: logger.error("构建 %s 命令失败: %s", tool_name, e) return {"error": f"命令构建失败: {e}"} # 4. 计算超时时间（支持 auto 和显式整数） raw_timeout = tool_config.get("timeout", 3600) timeout = 3600 if isinstance(raw_timeout, str) and raw_timeout == "auto": try: # katana / waymore 每个站点需要更长时间 base_per_time = 360 if tool_name in ("katana", "waymore") else 1 timeout = calculate_timeout_by_line_count( tool_config=tool_config, file_path=input_file, base_per_time=base_per_time, ) except Exception as e: logger.warning( "工具 %s 自动计算 timeout 失败，将使用默认 3600 秒: %s", tool_name, e, ) timeout = 3600 else: try: timeout = int(raw_timeout) except (TypeError, ValueError): logger.warning( "工具 %s 的 timeout 配置无效(%s)，将使用默认 3600 秒", tool_name, raw_timeout, ) timeout = 3600 # 5. 返回执行参数 return { "command": command, "input_file": input_file, "input_type": input_type, "output_file": output_file, "timeout": timeout, } def run_tools_parallel( tools: dict, input_file: str, input_type: str, output_dir: Path, scan_id: int ) -> tuple[list, list, list]: """ 并行执行工具列表 Args: tools: 工具配置字典 {tool_name: tool_config} input_file: 输入文件路径 input_type: 输入类型 output_dir: 输出目录 scan_id: 扫描任务 ID（用于记录日志） Returns: tuple: (result_files, failed_tools, successful_tool_names) """ from apps.scan.tasks.url_fetch import run_url_fetcher_task from apps.scan.utils import user_log futures: dict[str, object] = {} failed_tools: list[dict] = [] # 提交所有工具的并行任务 for tool_name, tool_config in tools.items(): exec_params = prepare_tool_execution( tool_name=tool_name, tool_config=tool_config, input_file=input_file, input_type=input_type, output_dir=output_dir, ) if "error" in exec_params: failed_tools.append({"tool": tool_name, "reason": exec_params["error"]}) continue logger.info( "提交任务 - 工具: %s, 输入: %s, 超时: %d秒", tool_name, input_type, exec_params["timeout"], ) # 记录工具开始执行日志 user_log(scan_id, "url_fetch", f"Running {tool_name}: {exec_params['command']}") # 提交并行任务 future = run_url_fetcher_task.submit( tool_name=tool_name, command=exec_params["command"], timeout=exec_params["timeout"], output_file=exec_params["output_file"], ) futures[tool_name] = future # 收集执行结果 result_files = [] for tool_name, future in futures.items(): try: result = future.result() if result and result['success']: result_files.append(result['output_file']) url_count = result['url_count'] logger.info( "✓ 工具 %s 执行成功 - 发现 URL: %d", tool_name, url_count ) user_log(scan_id, "url_fetch", f"{tool_name} completed: found {url_count} urls") else: reason = '未生成结果或无有效URL' failed_tools.append({ 'tool': tool_name, 'reason': reason }) logger.warning("⚠️ 工具 %s 未生成有效结果", tool_name) user_log(scan_id, "url_fetch", f"{tool_name} failed: {reason}", "error") except Exception as e: reason = str(e) failed_tools.append({ 'tool': tool_name, 'reason': reason }) logger.warning("⚠️ 工具 %s 执行失败: %s", tool_name, e) user_log(scan_id, "url_fetch", f"{tool_name} failed: {reason}", "error") # 计算成功的工具列表 failed_tool_names = [f['tool'] for f in failed_tools] successful_tool_names = [ name for name in tools.keys() if name not in failed_tool_names ] return result_files, failed_tools, successful_tool_names ================================================ FILE: backend/apps/scan/flows/vuln_scan/__init__.py ================================================ """vuln_scan Flow 模块 包含漏洞扫描相关的 Flow： - vuln_scan_flow: 主 Flow（编排各类漏洞扫描子 Flow） - endpoints_vuln_scan_flow: 基于 endpoints_file 的漏洞扫描子 Flow（Dalfox 等） """ from .main_flow import vuln_scan_flow from .endpoints_vuln_scan_flow import endpoints_vuln_scan_flow __all__ = [ "vuln_scan_flow", "endpoints_vuln_scan_flow", ] ================================================ FILE: backend/apps/scan/flows/vuln_scan/endpoints_vuln_scan_flow.py ================================================ from apps.common.prefect_django_setup import setup_django_for_prefect import logging from datetime import datetime from pathlib import Path from typing import Dict from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_running, on_scan_flow_completed, on_scan_flow_failed, ) from apps.scan.utils import build_scan_command, ensure_nuclei_templates_local, user_log from apps.scan.tasks.vuln_scan import ( export_endpoints_task, run_vuln_tool_task, run_and_stream_save_dalfox_vulns_task, run_and_stream_save_nuclei_vulns_task, ) from .utils import calculate_timeout_by_line_count logger = logging.getLogger(__name__) @flow( name="endpoints_vuln_scan_flow", log_prints=True, ) def endpoints_vuln_scan_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: Dict[str, dict], ) -> dict: """基于 Endpoint 的漏洞扫描 Flow（串行执行 Dalfox 等工具）。""" try: if scan_id is None: raise ValueError("scan_id 不能为空") if not target_name: raise ValueError("target_name 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") if not enabled_tools: raise ValueError("enabled_tools 不能为空") from apps.scan.utils import setup_scan_directory vuln_scan_dir = setup_scan_directory(scan_workspace_dir, 'vuln_scan') endpoints_file = vuln_scan_dir / "input_endpoints.txt" # Step 1: 导出 Endpoint URL export_result = export_endpoints_task( target_id=target_id, output_file=str(endpoints_file), ) total_endpoints = export_result.get("total_count", 0) if total_endpoints == 0 or not endpoints_file.exists() or endpoints_file.stat().st_size == 0: logger.warning("目标下没有可用 Endpoint，跳过漏洞扫描") return { "success": True, "scan_id": scan_id, "target": target_name, "scan_workspace_dir": scan_workspace_dir, "endpoints_file": str(endpoints_file), "endpoint_count": 0, "executed_tools": [], "tool_results": {}, } logger.info("Endpoint 导出完成，共 %d 条，开始执行漏洞扫描", total_endpoints) tool_results: Dict[str, dict] = {} # Step 2: 并行执行每个漏洞扫描工具（目前主要是 Dalfox） # 1）先为每个工具 submit Prefect Task，让 Worker 并行调度 # 2）再统一收集各自的结果，组装成 tool_results tool_futures: Dict[str, dict] = {} for tool_name, tool_config in enabled_tools.items(): # Nuclei 需要先确保本地模板存在（支持多个模板仓库） template_args = "" if tool_name == "nuclei": repo_names = tool_config.get("template_repo_names") if not repo_names or not isinstance(repo_names, (list, tuple)): logger.error("Nuclei 配置缺少 template_repo_names（数组），跳过") continue template_paths = [] try: for repo_name in repo_names: path = ensure_nuclei_templates_local(repo_name) template_paths.append(path) logger.info("Nuclei 模板路径 [%s]: %s", repo_name, path) except Exception as e: logger.error("获取 Nuclei 模板失败: %s，跳过 nuclei 扫描", e) continue template_args = " ".join(f"-t {p}" for p in template_paths) # 构建命令参数 command_params = {"endpoints_file": str(endpoints_file)} if template_args: command_params["template_args"] = template_args command = build_scan_command( tool_name=tool_name, scan_type="vuln_scan", command_params=command_params, tool_config=tool_config, ) raw_timeout = tool_config.get("timeout", 600) if isinstance(raw_timeout, str) and raw_timeout == "auto": # timeout=auto 时，根据 endpoints_file 行数自动计算超时时间 # Dalfox: 每行 100 秒，Nuclei: 每行 30 秒 base_per_time = 30 if tool_name == "nuclei" else 100 timeout = calculate_timeout_by_line_count( tool_config=tool_config, file_path=str(endpoints_file), base_per_time=base_per_time, ) else: try: timeout = int(raw_timeout) except (TypeError, ValueError) as e: raise ValueError( f"工具 {tool_name} 的 timeout 配置无效: {raw_timeout!r}" ) from e timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") log_file = vuln_scan_dir / f"{tool_name}_{timestamp}.log" # Dalfox XSS 使用流式任务，一边解析一边保存漏洞结果 if tool_name == "dalfox_xss": 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) user_log(scan_id, "vuln_scan", f"Running {tool_name}: {command}") future = run_and_stream_save_dalfox_vulns_task.submit( cmd=command, tool_name=tool_name, scan_id=scan_id, target_id=target_id, cwd=str(vuln_scan_dir), shell=True, batch_size=1, timeout=timeout, log_file=str(log_file), ) tool_futures[tool_name] = { "future": future, "command": command, "timeout": timeout, "log_file": str(log_file), "mode": "streaming", } elif tool_name == "nuclei": # Nuclei 使用流式任务 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) user_log(scan_id, "vuln_scan", f"Running {tool_name}: {command}") future = run_and_stream_save_nuclei_vulns_task.submit( cmd=command, tool_name=tool_name, scan_id=scan_id, target_id=target_id, cwd=str(vuln_scan_dir), shell=True, batch_size=1, timeout=timeout, log_file=str(log_file), ) tool_futures[tool_name] = { "future": future, "command": command, "timeout": timeout, "log_file": str(log_file), "mode": "streaming", } else: # 其他工具仍使用非流式执行逻辑 logger.info("开始执行漏洞扫描工具 %s（已提交任务）", tool_name) user_log(scan_id, "vuln_scan", f"Running {tool_name}: {command}") future = run_vuln_tool_task.submit( tool_name=tool_name, command=command, timeout=timeout, log_file=str(log_file), ) tool_futures[tool_name] = { "future": future, "command": command, "timeout": timeout, "log_file": str(log_file), "mode": "normal", } # 统一收集所有工具的执行结果 for tool_name, meta in tool_futures.items(): future = meta["future"] try: result = future.result() if meta["mode"] == "streaming": created_vulns = result.get("created_vulns", 0) tool_results[tool_name] = { "command": meta["command"], "timeout": meta["timeout"], "processed_records": result.get("processed_records"), "created_vulns": created_vulns, "command_log_file": meta["log_file"], } logger.info("✓ 工具 %s 执行完成 - 漏洞: %d", tool_name, created_vulns) user_log(scan_id, "vuln_scan", f"{tool_name} completed: found {created_vulns} vulnerabilities") else: tool_results[tool_name] = { "command": meta["command"], "timeout": meta["timeout"], "duration": result.get("duration"), "returncode": result.get("returncode"), "command_log_file": result.get("command_log_file"), } logger.info("✓ 工具 %s 执行完成 - returncode=%s", tool_name, result.get("returncode")) user_log(scan_id, "vuln_scan", f"{tool_name} completed") except Exception as e: reason = str(e) logger.error("工具 %s 执行失败: %s", tool_name, e, exc_info=True) user_log(scan_id, "vuln_scan", f"{tool_name} failed: {reason}", "error") return { "success": True, "scan_id": scan_id, "target": target_name, "scan_workspace_dir": scan_workspace_dir, "endpoints_file": str(endpoints_file), "endpoint_count": total_endpoints, "executed_tools": list(enabled_tools.keys()), "tool_results": tool_results, } except Exception as e: logger.exception("Endpoint 漏洞扫描失败: %s", e) raise ================================================ FILE: backend/apps/scan/flows/vuln_scan/main_flow.py ================================================ """ 漏洞扫描主 Flow """ import logging from typing import Dict, Tuple from prefect import flow from apps.scan.handlers.scan_flow_handlers import ( on_scan_flow_running, on_scan_flow_completed, on_scan_flow_failed, ) from apps.scan.configs.command_templates import get_command_template from apps.scan.utils import user_log, wait_for_system_load from .endpoints_vuln_scan_flow import endpoints_vuln_scan_flow logger = logging.getLogger(__name__) def _classify_vuln_tools(enabled_tools: Dict[str, dict]) -> Tuple[Dict[str, dict], Dict[str, dict]]: """根据命令模板中的 input_type 对漏洞扫描工具进行分类。 当前支持： - endpoints_file: 以端点列表文件为输入（例如 Dalfox XSS） 预留： - 其他 input_type 将被归类到 other_tools，暂不处理。 """ endpoints_tools: Dict[str, dict] = {} other_tools: Dict[str, dict] = {} for tool_name, tool_config in enabled_tools.items(): template = get_command_template("vuln_scan", tool_name) or {} input_type = template.get("input_type", "endpoints_file") if input_type == "endpoints_file": endpoints_tools[tool_name] = tool_config else: other_tools[tool_name] = tool_config return endpoints_tools, other_tools @flow( name="vuln_scan", log_prints=True, on_running=[on_scan_flow_running], on_completion=[on_scan_flow_completed], on_failure=[on_scan_flow_failed], ) def vuln_scan_flow( scan_id: int, target_name: str, target_id: int, scan_workspace_dir: str, enabled_tools: Dict[str, dict], ) -> dict: """漏洞扫描主 Flow：串行编排各类漏洞扫描子 Flow。 支持工具： - dalfox_xss: XSS 漏洞扫描（流式保存） - nuclei: 通用漏洞扫描（流式保存，支持模板 commit hash 同步） """ try: # 负载检查：等待系统资源充足 wait_for_system_load(context="vuln_scan_flow") if scan_id is None: raise ValueError("scan_id 不能为空") if not target_name: raise ValueError("target_name 不能为空") if target_id is None: raise ValueError("target_id 不能为空") if not scan_workspace_dir: raise ValueError("scan_workspace_dir 不能为空") if not enabled_tools: raise ValueError("enabled_tools 不能为空") logger.info("开始漏洞扫描 - Scan ID: %s, Target: %s", scan_id, target_name) user_log(scan_id, "vuln_scan", "Starting vulnerability scan") # Step 1: 分类工具 endpoints_tools, other_tools = _classify_vuln_tools(enabled_tools) logger.info( "漏洞扫描工具分类 - endpoints_file: %s, 其他: %s", list(endpoints_tools.keys()) or "无", list(other_tools.keys()) or "无", ) if other_tools: logger.warning( "存在暂不支持输入类型的漏洞扫描工具，将被忽略: %s", list(other_tools.keys()), ) if not endpoints_tools: 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）。") # Step 2: 执行 Endpoint 漏洞扫描子 Flow（串行） endpoint_result = endpoints_vuln_scan_flow( scan_id=scan_id, target_name=target_name, target_id=target_id, scan_workspace_dir=scan_workspace_dir, enabled_tools=endpoints_tools, ) # 记录 Flow 完成 total_vulns = sum( r.get("created_vulns", 0) for r in endpoint_result.get("tool_results", {}).values() ) logger.info("✓ 漏洞扫描完成 - 新增漏洞: %d", total_vulns) user_log(scan_id, "vuln_scan", f"vuln_scan completed: found {total_vulns} vulnerabilities") # 目前只有一个子 Flow，直接返回其结果 return endpoint_result except Exception as e: logger.exception("漏洞扫描主 Flow 失败: %s", e) raise ================================================ FILE: backend/apps/scan/flows/vuln_scan/utils.py ================================================ """ Vuln Scan 共享工具函数 """ import logging import subprocess logger = logging.getLogger(__name__) def calculate_timeout_by_line_count( tool_config: dict, file_path: str, base_per_time: int = 1, min_timeout: int = 600, ) -> int: """ 根据文件行数自动计算超时时间 Args: tool_config: 工具配置（保留参数，未来可能用于更复杂的计算） file_path: 输入文件路径 base_per_time: 每行的基础时间（秒） min_timeout: 最小超时时间（秒），默认600秒（10分钟） Returns: int: 计算出的超时时间（秒），不低于 min_timeout """ try: result = subprocess.run( ["wc", "-l", file_path], capture_output=True, text=True, check=True, ) line_count = int(result.stdout.strip().split()[0]) timeout = max(line_count * base_per_time, min_timeout) logger.info( "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", file_path, line_count, base_per_time, min_timeout, timeout, ) return timeout except Exception as e: logger.warning("wc -l 计算行数失败: %s，使用最小超时: %d秒", e, min_timeout) return min_timeout ================================================ FILE: backend/apps/scan/handlers/__init__.py ================================================ """Prefect Flow 状态处理器 当前架构使用 Docker + SSH 执行任务，不使用 Prefect Server。 docker stop 会触发 on_failure 处理器。 """ from .initiate_scan_flow_handlers import ( on_initiate_scan_flow_running, on_initiate_scan_flow_completed, on_initiate_scan_flow_failed, ) from .scan_flow_handlers import ( on_scan_flow_running, on_scan_flow_completed, on_scan_flow_failed, ) __all__ = [ # 初始化扫描流程处理器 'on_initiate_scan_flow_running', 'on_initiate_scan_flow_completed', 'on_initiate_scan_flow_failed', # 通用扫描流程处理器 'on_scan_flow_running', 'on_scan_flow_completed', 'on_scan_flow_failed', ] ================================================ FILE: backend/apps/scan/handlers/initiate_scan_flow_handlers.py ================================================ """ initiate_scan_flow 状态处理器 负责 initiate_scan_flow 生命周期的状态同步： - on_running: Flow 开始运行时更新扫描状态为 RUNNING - on_completion: Flow 成功完成时更新扫描状态为 COMPLETED - on_failure: Flow 失败时更新扫描状态为 FAILED（包括超时、异常、docker stop 等） 策略：快速失败（Fail-Fast） - 任何子任务失败都会导致 Flow 失败 - Flow 成功 = 所有任务成功 """ import logging from prefect import Flow from prefect.client.schemas import FlowRun, State logger = logging.getLogger(__name__) def on_initiate_scan_flow_running(flow: Flow, flow_run: FlowRun, state: State) -> None: """ initiate_scan_flow 开始运行时的回调 职责：更新 Scan 状态为 RUNNING + 发送通知 触发时机： - Prefect Flow 状态变为 Running 时自动触发 - 在 Flow 函数体执行之前调用 Args: flow: Prefect Flow 对象 flow_run: Flow 运行实例 state: Flow 当前状态 """ logger.info("🚀 initiate_scan_flow_running 回调开始运行 - Flow Run: %s", flow_run.id) scan_id = flow_run.parameters.get('scan_id') target_name = flow_run.parameters.get('target_name') engine_name = flow_run.parameters.get('engine_name') scheduled_scan_name = flow_run.parameters.get('scheduled_scan_name') if not scan_id: logger.warning( "Flow 参数中缺少 scan_id，跳过状态更新 - Flow Run: %s", flow_run.id ) return def _update_running_status(): from apps.scan.services import ScanService from apps.common.definitions import ScanStatus service = ScanService() success = service.update_status( scan_id, ScanStatus.RUNNING ) if success: logger.info( "✓ Flow 状态回调：扫描状态已更新为 RUNNING - Scan ID: %s, Flow Run: %s", scan_id, flow_run.id ) else: logger.error( "✗ Flow 状态回调：更新扫描状态失败 - Scan ID: %s", scan_id ) return success # 执行状态更新（Repository 层已有 @auto_ensure_db_connection 保证连接可靠性） _update_running_status() # 发送通知 logger.info("准备发送扫描开始通知 - Scan ID: %s, Target: %s", scan_id, target_name) try: from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory # 根据是否为定时扫描构建不同的标题和消息 if scheduled_scan_name: title = f"⏰ {target_name} 扫描开始" message = f"定时任务：{scheduled_scan_name}\n引擎：{engine_name}" else: title = f"{target_name} 扫描开始" message = f"引擎：{engine_name}" create_notification( title=title, message=message, level=NotificationLevel.MEDIUM, category=NotificationCategory.SCAN ) logger.info("✓ 扫描开始通知已发送 - Scan ID: %s, Target: %s", scan_id, target_name) except Exception as e: logger.error(f"发送扫描开始通知失败 - Scan ID: {scan_id}: {e}", exc_info=True) def on_initiate_scan_flow_completed(flow: Flow, flow_run: FlowRun, state: State) -> None: """ initiate_scan_flow 成功完成时的回调 职责：更新 Scan 状态为 COMPLETED 触发时机： - Prefect Flow 正常执行完成时自动触发 - 在 Flow 函数体返回之后调用 策略：快速失败（Fail-Fast） - Flow 成功完成 = 所有任务成功 → COMPLETED - Flow 执行失败 = 有任务失败 → FAILED (由 on_failed 处理) 竞态条件处理： - 如果用户已手动取消（状态已是 CANCELLED），保持终态，不覆盖 Args: flow: Prefect Flow 对象 flow_run: Flow 运行实例 state: Flow 当前状态 """ logger.info("✅ initiate_scan_flow_completed 回调开始运行 - Flow Run: %s", flow_run.id) scan_id = flow_run.parameters.get('scan_id') target_name = flow_run.parameters.get('target_name') engine_name = flow_run.parameters.get('engine_name') if not scan_id: return def _update_completed_status(): from apps.scan.services import ScanService from apps.common.definitions import ScanStatus from django.utils import timezone service = ScanService() # 仅在运行中时更新为 COMPLETED；其他状态保持不变 completed_updated = service.update_status_if_match( scan_id=scan_id, current_status=ScanStatus.RUNNING, new_status=ScanStatus.COMPLETED, stopped_at=timezone.now() ) if completed_updated: logger.info( "✓ Flow 状态回调：扫描状态已原子更新为 COMPLETED - Scan ID: %s, Flow Run: %s", scan_id, flow_run.id ) return service.update_cached_stats(scan_id) else: logger.info( "ℹ️ Flow 状态回调：状态未更新（可能已是终态）- Scan ID: %s, Flow Run: %s", scan_id, flow_run.id ) return None # 执行状态更新并获取统计数据 stats = _update_completed_status() # 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 # 发送通知（包含统计摘要） logger.info("准备发送扫描完成通知 - Scan ID: %s, Target: %s", scan_id, target_name) try: from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory # 构建通知消息 message = f"引擎：{engine_name}" if stats: results = [] results.append(f"子域名: {stats.get('subdomains', 0)}") results.append(f"站点: {stats.get('websites', 0)}") results.append(f"IP: {stats.get('ips', 0)}") results.append(f"端点: {stats.get('endpoints', 0)}") results.append(f"目录: {stats.get('directories', 0)}") vulns_total = stats.get('vulns_total', 0) if vulns_total > 0: 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)})") else: results.append("漏洞: 0") message += f"\n结果：{' | '.join(results)}" create_notification( title=f"{target_name} 扫描完成", message=message, level=NotificationLevel.MEDIUM, category=NotificationCategory.SCAN ) logger.info("✓ 扫描完成通知已发送 - Scan ID: %s, Target: %s", scan_id, target_name) except Exception as e: logger.error(f"发送扫描完成通知失败 - Scan ID: {scan_id}: {e}", exc_info=True) def on_initiate_scan_flow_failed(flow: Flow, flow_run: FlowRun, state: State) -> None: """ initiate_scan_flow 失败时的回调 职责：更新 Scan 状态为 FAILED，并记录错误信息 触发时机： - Prefect Flow 执行失败或抛出异常时自动触发 - Flow 超时、任务失败等所有失败场景都会触发此回调 竞态条件处理： - 如果用户已手动取消（状态已是 CANCELLED），保持终态，不覆盖 Args: flow: Prefect Flow 对象 flow_run: Flow 运行实例 state: Flow 当前状态（包含错误信息） """ logger.info("❌ initiate_scan_flow_failed 回调开始运行 - Flow Run: %s", flow_run.id) scan_id = flow_run.parameters.get('scan_id') target_name = flow_run.parameters.get('target_name') engine_name = flow_run.parameters.get('engine_name') if not scan_id: return def _update_failed_status(): from apps.scan.services import ScanService from apps.common.definitions import ScanStatus from django.utils import timezone service = ScanService() # 提取错误信息 error_message = str(state.message) if state.message else "Flow 执行失败" # 仅在运行中时更新为 FAILED；其他状态保持不变 failed_updated = service.update_status_if_match( scan_id=scan_id, current_status=ScanStatus.RUNNING, new_status=ScanStatus.FAILED, stopped_at=timezone.now() ) if failed_updated: # 成功更新（正常失败流程） logger.error( "✗ 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", scan_id, flow_run.id, error_message ) # 更新缓存统计数据（终态） service.update_cached_stats(scan_id) else: logger.warning( "⚠️ 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", scan_id, flow_run.id ) return True # 执行状态更新 _update_failed_status() # 发送通知 logger.info("准备发送扫描失败通知 - Scan ID: %s, Target: %s", scan_id, target_name) try: from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory error_message = str(state.message) if state.message else "未知错误" message = f"引擎：{engine_name}\n错误：{error_message}" create_notification( title=f"{target_name} 扫描失败", message=message, level=NotificationLevel.HIGH, category=NotificationCategory.SCAN ) logger.info("✓ 扫描失败通知已发送 - Scan ID: %s, Target: %s", scan_id, target_name) except Exception as e: logger.error(f"发送扫描失败通知失败 - Scan ID: {scan_id}: {e}", exc_info=True) ================================================ FILE: backend/apps/scan/handlers/scan_flow_handlers.py ================================================ """ 扫描流程处理器 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 职责： - 更新各阶段的进度状态（running/completed/failed） - 发送扫描阶段的通知 - 记录 Flow 性能指标 """ import logging from prefect import Flow from prefect.client.schemas import FlowRun, State from apps.scan.utils.performance import FlowPerformanceTracker from apps.scan.utils import user_log logger = logging.getLogger(__name__) # 存储每个 flow_run 的性能追踪器 _flow_trackers: dict[str, FlowPerformanceTracker] = {} def _get_stage_from_flow_name(flow_name: str) -> str | None: """ 从 Flow name 获取对应的 stage Flow name 直接作为 stage（与 engine_config 的 key 一致） 排除主 Flow（initiate_scan） """ # 排除主 Flow，它不是阶段 Flow if flow_name == 'initiate_scan': return None return flow_name def on_scan_flow_running(flow: Flow, flow_run: FlowRun, state: State) -> None: """ 扫描流程开始运行时的回调 职责： - 更新阶段进度为 running - 发送扫描开始通知 - 启动性能追踪 Args: flow: Prefect Flow 对象 flow_run: Flow 运行实例 state: Flow 当前状态 """ logger.info("🚀 扫描流程开始运行 - Flow: %s, Run ID: %s", flow.name, flow_run.id) # 提取流程参数 flow_params = flow_run.parameters or {} scan_id = flow_params.get('scan_id') target_name = flow_params.get('target_name', 'unknown') target_id = flow_params.get('target_id') # 启动性能追踪 if scan_id: tracker = FlowPerformanceTracker(flow.name, scan_id) tracker.start(target_id=target_id, target_name=target_name) _flow_trackers[str(flow_run.id)] = tracker # 更新阶段进度 stage = _get_stage_from_flow_name(flow.name) if scan_id and stage: try: from apps.scan.services import ScanService service = ScanService() service.start_stage(scan_id, stage) logger.info(f"✓ 阶段进度已更新为 running - Scan ID: {scan_id}, Stage: {stage}") except Exception as e: logger.error(f"更新阶段进度失败 - Scan ID: {scan_id}, Stage: {stage}: {e}") def on_scan_flow_completed(flow: Flow, flow_run: FlowRun, state: State) -> None: """ 扫描流程完成时的回调 职责： - 更新阶段进度为 completed - 发送扫描完成通知（可选） - 记录性能指标 Args: flow: Prefect Flow 对象 flow_run: Flow 运行实例 state: Flow 当前状态 """ logger.info("✅ 扫描流程完成 - Flow: %s, Run ID: %s", flow.name, flow_run.id) # 提取流程参数 flow_params = flow_run.parameters or {} scan_id = flow_params.get('scan_id') # 获取 flow result result = None try: result = state.result() if state.result else None except Exception: pass # 记录性能指标 tracker = _flow_trackers.pop(str(flow_run.id), None) if tracker: tracker.finish(success=True) # 更新阶段进度 stage = _get_stage_from_flow_name(flow.name) if scan_id and stage: try: from apps.scan.services import ScanService service = ScanService() # 从 flow result 中提取 detail（如果有） detail = None if isinstance(result, dict): detail = result.get('detail') service.complete_stage(scan_id, stage, detail) logger.info(f"✓ 阶段进度已更新为 completed - Scan ID: {scan_id}, Stage: {stage}") # 每个阶段完成后刷新缓存统计，便于前端实时看到增量 try: service.update_cached_stats(scan_id) logger.info("✓ 阶段完成后已刷新缓存统计 - Scan ID: %s", scan_id) except Exception as e: logger.error("阶段完成后刷新缓存统计失败 - Scan ID: %s, 错误: %s", scan_id, e) except Exception as e: logger.error(f"更新阶段进度失败 - Scan ID: {scan_id}, Stage: {stage}: {e}") def on_scan_flow_failed(flow: Flow, flow_run: FlowRun, state: State) -> None: """ 扫描流程失败时的回调 职责： - 更新阶段进度为 failed - 发送扫描失败通知 - 记录性能指标（含错误信息） - 写入 ScanLog 供前端显示 Args: flow: Prefect Flow 对象 flow_run: Flow 运行实例 state: Flow 当前状态 """ logger.info("❌ 扫描流程失败 - Flow: %s, Run ID: %s", flow.name, flow_run.id) # 提取流程参数 flow_params = flow_run.parameters or {} scan_id = flow_params.get('scan_id') target_name = flow_params.get('target_name', 'unknown') # 提取错误信息 error_message = str(state.message) if state.message else "未知错误" # 写入 ScanLog 供前端显示 stage = _get_stage_from_flow_name(flow.name) if scan_id and stage: user_log(scan_id, stage, f"Failed: {error_message}", "error") # 记录性能指标（失败情况） tracker = _flow_trackers.pop(str(flow_run.id), None) if tracker: tracker.finish(success=False, error_message=error_message) # 更新阶段进度 stage = _get_stage_from_flow_name(flow.name) if scan_id and stage: try: from apps.scan.services import ScanService service = ScanService() service.fail_stage(scan_id, stage, error_message) logger.info(f"✓ 阶段进度已更新为 failed - Scan ID: {scan_id}, Stage: {stage}") except Exception as e: logger.error(f"更新阶段进度失败 - Scan ID: {scan_id}, Stage: {stage}: {e}") # 发送通知 try: from apps.scan.notifications import create_notification, NotificationLevel message = f"任务：{flow.name}\n状态：执行失败\n错误：{error_message}" create_notification( title=target_name, message=message, level=NotificationLevel.HIGH ) logger.error(f"✓ 扫描失败通知已发送 - Target: {target_name}, Flow: {flow.name}, Error: {error_message}") except Exception as e: logger.error(f"发送扫描失败通知失败 - Flow: {flow.name}: {e}") ================================================ FILE: backend/apps/scan/management/__init__.py ================================================ ================================================ FILE: backend/apps/scan/migrations/0001_initial.py ================================================ # Generated by Django 5.2.7 on 2026-01-06 00:55 import django.contrib.postgres.fields import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ('engine', '0001_initial'), ('targets', '0001_initial'), ] operations = [ migrations.CreateModel( name='NotificationSettings', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('discord_enabled', models.BooleanField(default=False, help_text='是否启用 Discord 通知')), ('discord_webhook_url', models.URLField(blank=True, default='', help_text='Discord Webhook URL')), ('categories', models.JSONField(default=dict, help_text='各分类通知开关，如 {"scan": true, "vulnerability": true, "asset": true, "system": false}')), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ], options={ 'verbose_name': '通知设置', 'verbose_name_plural': '通知设置', 'db_table': 'notification_settings', }, ), migrations.CreateModel( name='SubfinderProviderSettings', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('providers', models.JSONField(default=dict, help_text='各 Provider 的 API Key 配置')), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ], options={ 'verbose_name': 'Subfinder Provider 配置', 'verbose_name_plural': 'Subfinder Provider 配置', 'db_table': 'subfinder_provider_settings', }, ), migrations.CreateModel( name='Notification', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('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)), ('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)), ('title', models.CharField(help_text='通知标题', max_length=200)), ('message', models.CharField(help_text='通知内容', max_length=2000)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('is_read', models.BooleanField(default=False, help_text='是否已读')), ('read_at', models.DateTimeField(blank=True, help_text='阅读时间', null=True)), ], options={ 'verbose_name': '通知', 'verbose_name_plural': '通知', 'db_table': 'notification', 'ordering': ['-created_at'], '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')], }, ), migrations.CreateModel( name='Scan', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('engine_ids', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), default=list, help_text='引擎 ID 列表', size=None)), ('engine_names', models.JSONField(default=list, help_text='引擎名称列表，如 ["引擎A", "引擎B"]')), ('yaml_configuration', models.TextField(default='', help_text='YAML 格式的扫描配置')), ('created_at', models.DateTimeField(auto_now_add=True, help_text='任务创建时间')), ('stopped_at', models.DateTimeField(blank=True, help_text='扫描结束时间', null=True)), ('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)), ('results_dir', models.CharField(blank=True, default='', help_text='结果存储目录', max_length=100)), ('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)), ('error_message', models.CharField(blank=True, default='', help_text='错误信息', max_length=2000)), ('deleted_at', models.DateTimeField(blank=True, db_index=True, help_text='删除时间（NULL表示未删除）', null=True)), ('progress', models.IntegerField(default=0, help_text='扫描进度 0-100')), ('current_stage', models.CharField(blank=True, default='', help_text='当前扫描阶段', max_length=50)), ('stage_progress', models.JSONField(default=dict, help_text='各阶段进度详情')), ('cached_subdomains_count', models.IntegerField(default=0, help_text='缓存的子域名数量')), ('cached_websites_count', models.IntegerField(default=0, help_text='缓存的网站数量')), ('cached_endpoints_count', models.IntegerField(default=0, help_text='缓存的端点数量')), ('cached_ips_count', models.IntegerField(default=0, help_text='缓存的IP地址数量')), ('cached_directories_count', models.IntegerField(default=0, help_text='缓存的目录数量')), ('cached_vulns_total', models.IntegerField(default=0, help_text='缓存的漏洞总数')), ('cached_vulns_critical', models.IntegerField(default=0, help_text='缓存的严重漏洞数量')), ('cached_vulns_high', models.IntegerField(default=0, help_text='缓存的高危漏洞数量')), ('cached_vulns_medium', models.IntegerField(default=0, help_text='缓存的中危漏洞数量')), ('cached_vulns_low', models.IntegerField(default=0, help_text='缓存的低危漏洞数量')), ('stats_updated_at', models.DateTimeField(blank=True, help_text='统计数据最后更新时间', null=True)), ('target', models.ForeignKey(help_text='扫描目标', on_delete=django.db.models.deletion.CASCADE, related_name='scans', to='targets.target')), ('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')), ], options={ 'verbose_name': '扫描任务', 'verbose_name_plural': '扫描任务', 'db_table': 'scan', 'ordering': ['-created_at'], }, ), migrations.CreateModel( name='ScanLog', fields=[ ('id', models.BigAutoField(primary_key=True, serialize=False)), ('level', models.CharField(choices=[('info', 'Info'), ('warning', 'Warning'), ('error', 'Error')], default='info', help_text='日志级别', max_length=10)), ('content', models.TextField(help_text='日志内容')), ('created_at', models.DateTimeField(auto_now_add=True, db_index=True, help_text='创建时间')), ('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')), ], options={ 'verbose_name': '扫描日志', 'verbose_name_plural': '扫描日志', 'db_table': 'scan_log', 'ordering': ['created_at'], }, ), migrations.CreateModel( name='ScheduledScan', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(help_text='任务名称', max_length=200)), ('engine_ids', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), default=list, help_text='引擎 ID 列表', size=None)), ('engine_names', models.JSONField(default=list, help_text='引擎名称列表，如 ["引擎A", "引擎B"]')), ('yaml_configuration', models.TextField(default='', help_text='YAML 格式的扫描配置')), ('cron_expression', models.CharField(default='0 2 * * *', help_text='Cron 表达式，格式：分 时 日 月 周', max_length=100)), ('is_enabled', models.BooleanField(db_index=True, default=True, help_text='是否启用')), ('run_count', models.IntegerField(default=0, help_text='已执行次数')), ('last_run_time', models.DateTimeField(blank=True, help_text='上次执行时间', null=True)), ('next_run_time', models.DateTimeField(blank=True, help_text='下次执行时间', null=True)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('updated_at', models.DateTimeField(auto_now=True, help_text='更新时间')), ('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')), ('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')), ], options={ 'verbose_name': '定时扫描任务', 'verbose_name_plural': '定时扫描任务', 'db_table': 'scheduled_scan', 'ordering': ['-created_at'], }, ), migrations.AddIndex( model_name='scan', index=models.Index(fields=['-created_at'], name='scan_created_0bb6c7_idx'), ), migrations.AddIndex( model_name='scan', index=models.Index(fields=['target'], name='scan_target__718b9d_idx'), ), migrations.AddIndex( model_name='scan', index=models.Index(fields=['deleted_at', '-created_at'], name='scan_deleted_eb17e8_idx'), ), migrations.AddIndex( model_name='scanlog', index=models.Index(fields=['scan', 'created_at'], name='scan_log_scan_id_c4814a_idx'), ), migrations.AddIndex( model_name='scheduledscan', index=models.Index(fields=['-created_at'], name='scheduled_s_created_9b9c2e_idx'), ), migrations.AddIndex( model_name='scheduledscan', index=models.Index(fields=['is_enabled', '-created_at'], name='scheduled_s_is_enab_23d660_idx'), ), migrations.AddIndex( model_name='scheduledscan', index=models.Index(fields=['name'], name='scheduled_s_name_bf332d_idx'), ), ] ================================================ FILE: backend/apps/scan/migrations/0002_add_cached_screenshots_count.py ================================================ # Generated by Django 5.2.7 on 2026-01-07 14:03 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('scan', '0001_initial'), ] operations = [ migrations.AddField( model_name='scan', name='cached_screenshots_count', field=models.IntegerField(default=0, help_text='缓存的截图数量'), ), ] ================================================ FILE: backend/apps/scan/migrations/0003_add_wecom_fields.py ================================================ # Generated manually for WeCom notification support from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('scan', '0002_add_cached_screenshots_count'), ] operations = [ migrations.AddField( model_name='notificationsettings', name='wecom_enabled', field=models.BooleanField(default=False, help_text='是否启用企业微信通知'), ), migrations.AddField( model_name='notificationsettings', name='wecom_webhook_url', field=models.URLField(blank=True, default='', help_text='企业微信机器人 Webhook URL'), ), ] ================================================ FILE: backend/apps/scan/migrations/__init__.py ================================================ ================================================ FILE: backend/apps/scan/models/__init__.py ================================================ """Scan Models - 统一导出""" from .scan_models import Scan, SoftDeleteManager from .scan_log_model import ScanLog from .scheduled_scan_model import ScheduledScan from .subfinder_provider_settings_model import SubfinderProviderSettings # 兼容旧名称（已废弃，请使用 SubfinderProviderSettings） ProviderSettings = SubfinderProviderSettings __all__ = [ 'Scan', 'ScanLog', 'ScheduledScan', 'SoftDeleteManager', 'SubfinderProviderSettings', 'ProviderSettings', # 兼容旧名称 ] ================================================ FILE: backend/apps/scan/models/scan_log_model.py ================================================ """扫描日志模型""" from django.db import models class ScanLog(models.Model): """扫描日志模型""" class Level(models.TextChoices): INFO = 'info', 'Info' WARNING = 'warning', 'Warning' ERROR = 'error', 'Error' id = models.BigAutoField(primary_key=True) scan = models.ForeignKey( 'Scan', on_delete=models.CASCADE, related_name='logs', db_index=True, help_text='关联的扫描任务' ) level = models.CharField( max_length=10, choices=Level.choices, default=Level.INFO, help_text='日志级别' ) content = models.TextField(help_text='日志内容') created_at = models.DateTimeField(auto_now_add=True, db_index=True, help_text='创建时间') class Meta: db_table = 'scan_log' verbose_name = '扫描日志' verbose_name_plural = '扫描日志' ordering = ['created_at'] indexes = [ models.Index(fields=['scan', 'created_at']), ] def __str__(self): return f"[{self.level}] {self.content[:50]}" ================================================ FILE: backend/apps/scan/models/scan_models.py ================================================ """扫描相关模型""" from django.db import models from django.contrib.postgres.fields import ArrayField from apps.common.definitions import ScanStatus class SoftDeleteManager(models.Manager): """软删除管理器：默认只返回未删除的记录""" def get_queryset(self): return super().get_queryset().filter(deleted_at__isnull=True) class Scan(models.Model): """扫描任务模型""" id = models.AutoField(primary_key=True) target = models.ForeignKey('targets.Target', on_delete=models.CASCADE, related_name='scans', help_text='扫描目标') # 多引擎支持字段 engine_ids = ArrayField( models.IntegerField(), default=list, help_text='引擎 ID 列表' ) engine_names = models.JSONField( default=list, help_text='引擎名称列表，如 ["引擎A", "引擎B"]' ) yaml_configuration = models.TextField( default='', help_text='YAML 格式的扫描配置' ) created_at = models.DateTimeField(auto_now_add=True, help_text='任务创建时间') stopped_at = models.DateTimeField(null=True, blank=True, help_text='扫描结束时间') status = models.CharField( max_length=20, choices=ScanStatus.choices, default=ScanStatus.INITIATED, db_index=True, help_text='任务状态' ) results_dir = models.CharField(max_length=100, blank=True, default='', help_text='结果存储目录') container_ids = ArrayField( models.CharField(max_length=100), blank=True, default=list, help_text='容器 ID 列表（Docker Container ID）' ) worker = models.ForeignKey( 'engine.WorkerNode', on_delete=models.SET_NULL, related_name='scans', null=True, blank=True, help_text='执行扫描的 Worker 节点' ) error_message = models.CharField(max_length=2000, blank=True, default='', help_text='错误信息') # ==================== 软删除字段 ==================== deleted_at = models.DateTimeField(null=True, blank=True, db_index=True, help_text='删除时间（NULL表示未删除）') # ==================== 管理器 ==================== objects = SoftDeleteManager() # 默认管理器：只返回未删除的记录 all_objects = models.Manager() # 全量管理器：包括已删除的记录（用于硬删除） # ==================== 进度跟踪字段 ==================== progress = models.IntegerField(default=0, help_text='扫描进度 0-100') current_stage = models.CharField(max_length=50, blank=True, default='', help_text='当前扫描阶段') stage_progress = models.JSONField(default=dict, help_text='各阶段进度详情') # ==================== 缓存统计字段 ==================== cached_subdomains_count = models.IntegerField(default=0, help_text='缓存的子域名数量') cached_websites_count = models.IntegerField(default=0, help_text='缓存的网站数量') cached_endpoints_count = models.IntegerField(default=0, help_text='缓存的端点数量') cached_ips_count = models.IntegerField(default=0, help_text='缓存的IP地址数量') cached_directories_count = models.IntegerField(default=0, help_text='缓存的目录数量') cached_screenshots_count = models.IntegerField(default=0, help_text='缓存的截图数量') cached_vulns_total = models.IntegerField(default=0, help_text='缓存的漏洞总数') cached_vulns_critical = models.IntegerField(default=0, help_text='缓存的严重漏洞数量') cached_vulns_high = models.IntegerField(default=0, help_text='缓存的高危漏洞数量') cached_vulns_medium = models.IntegerField(default=0, help_text='缓存的中危漏洞数量') cached_vulns_low = models.IntegerField(default=0, help_text='缓存的低危漏洞数量') stats_updated_at = models.DateTimeField(null=True, blank=True, help_text='统计数据最后更新时间') class Meta: db_table = 'scan' verbose_name = '扫描任务' verbose_name_plural = '扫描任务' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['target']), models.Index(fields=['deleted_at', '-created_at']), ] def __str__(self): return f"Scan #{self.id} - {self.target.name}" ================================================ FILE: backend/apps/scan/models/scheduled_scan_model.py ================================================ """定时扫描任务模型""" from django.db import models from django.contrib.postgres.fields import ArrayField class ScheduledScan(models.Model): """定时扫描任务模型""" id = models.AutoField(primary_key=True) name = models.CharField(max_length=200, help_text='任务名称') engine_ids = ArrayField( models.IntegerField(), default=list, help_text='引擎 ID 列表' ) engine_names = models.JSONField( default=list, help_text='引擎名称列表，如 ["引擎A", "引擎B"]' ) yaml_configuration = models.TextField( default='', help_text='YAML 格式的扫描配置' ) organization = models.ForeignKey( 'targets.Organization', on_delete=models.CASCADE, related_name='scheduled_scans', null=True, 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）' ) target = models.ForeignKey( 'targets.Target', on_delete=models.CASCADE, related_name='scheduled_scans', null=True, blank=True, help_text='扫描单个目标（与 organization 二选一）' ) cron_expression = models.CharField( max_length=100, default='0 2 * * *', help_text='Cron 表达式，格式：分 时 日 月 周' ) is_enabled = models.BooleanField(default=True, db_index=True, help_text='是否启用') run_count = models.IntegerField(default=0, help_text='已执行次数') last_run_time = models.DateTimeField(null=True, blank=True, help_text='上次执行时间') next_run_time = models.DateTimeField(null=True, blank=True, help_text='下次执行时间') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') updated_at = models.DateTimeField(auto_now=True, help_text='更新时间') class Meta: db_table = 'scheduled_scan' verbose_name = '定时扫描任务' verbose_name_plural = '定时扫描任务' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['is_enabled', '-created_at']), models.Index(fields=['name']), ] def __str__(self): return f"ScheduledScan #{self.id} - {self.name}" ================================================ FILE: backend/apps/scan/models/subfinder_provider_settings_model.py ================================================ """Subfinder Provider 配置模型（单例模式） 用于存储 subfinder 第三方数据源的 API Key 配置 """ from django.db import models class SubfinderProviderSettings(models.Model): """ Subfinder Provider 配置（单例模式） 存储第三方数据源的 API Key 配置，用于 subfinder 子域名发现 支持的 Provider: - fofa: email + api_key (composite) - censys: api_id + api_secret (composite) - hunter, shodan, zoomeye, securitytrails, threatbook, quake: api_key (single) """ providers = models.JSONField( default=dict, help_text='各 Provider 的 API Key 配置' ) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class Meta: db_table = 'subfinder_provider_settings' verbose_name = 'Subfinder Provider 配置' verbose_name_plural = 'Subfinder Provider 配置' DEFAULT_PROVIDERS = { 'fofa': {'enabled': False, 'email': '', 'api_key': ''}, 'hunter': {'enabled': False, 'api_key': ''}, 'shodan': {'enabled': False, 'api_key': ''}, 'censys': {'enabled': False, 'api_id': '', 'api_secret': ''}, 'zoomeye': {'enabled': False, 'api_key': ''}, 'securitytrails': {'enabled': False, 'api_key': ''}, 'threatbook': {'enabled': False, 'api_key': ''}, 'quake': {'enabled': False, 'api_key': ''}, } def save(self, *args, **kwargs): self.pk = 1 super().save(*args, **kwargs) @classmethod def get_instance(cls) -> 'SubfinderProviderSettings': """获取或创建单例实例""" obj, _ = cls.objects.get_or_create( pk=1, defaults={'providers': cls.DEFAULT_PROVIDERS.copy()} ) return obj def get_provider_config(self, provider: str) -> dict: """获取指定 Provider 的配置""" return self.providers.get(provider, self.DEFAULT_PROVIDERS.get(provider, {})) def is_provider_enabled(self, provider: str) -> bool: """检查指定 Provider 是否启用""" config = self.get_provider_config(provider) return config.get('enabled', False) ================================================ FILE: backend/apps/scan/notifications/__init__.py ================================================ """极简通知系统""" from .types import NotificationLevel, NotificationCategory from .models import Notification from .services import create_notification __all__ = [ 'NotificationLevel', 'NotificationCategory', 'Notification', 'create_notification' ] ================================================ FILE: backend/apps/scan/notifications/consumers.py ================================================ """ WebSocket Consumer - 通知实时推送 """ import json import logging import asyncio from apps.common.websocket_auth import AuthenticatedWebsocketConsumer logger = logging.getLogger(__name__) class NotificationConsumer(AuthenticatedWebsocketConsumer): """ 通知 WebSocket Consumer 处理客户端连接、断开和通知推送 使用 Redis Channel Layer 订阅通知 支持心跳保活机制 """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.heartbeat_task = None # 心跳任务 async def on_connect(self): """ 客户端连接时调用（已通过认证） 加入通知广播组 """ # 通知组名（所有客户端共享） self.group_name = 'notifications' # 加入组 await self.channel_layer.group_add( self.group_name, self.channel_name ) # 接受 WebSocket 连接 await self.accept() # 发送连接成功消息 await self.send(text_data=json.dumps({ 'type': 'connected', 'message': '连接成功' }, ensure_ascii=False)) # 启动服务端心跳（可选：防止中间件超时） # self.heartbeat_task = asyncio.create_task(self._heartbeat_loop()) logger.debug(f"WebSocket 连接已建立 - Channel: {self.channel_name}") async def disconnect(self, close_code): """ 客户端断开时调用 离开通知广播组 """ # 取消心跳任务 if self.heartbeat_task and not self.heartbeat_task.done(): self.heartbeat_task.cancel() try: await self.heartbeat_task except asyncio.CancelledError: pass # 离开组 await self.channel_layer.group_discard( self.group_name, self.channel_name ) logger.debug(f"WebSocket 连接已断开 - Channel: {self.channel_name}, Code: {close_code}") async def receive(self, text_data): """ 接收客户端消息 当前实现不需要处理客户端消息，保留以备扩展 """ try: data = json.loads(text_data) message_type = data.get('type') # 心跳响应 if message_type == 'ping': await self.send(text_data=json.dumps({ 'type': 'pong', 'message': '心跳响应' }, ensure_ascii=False)) logger.debug(f"心跳响应 - Channel: {self.channel_name}") except json.JSONDecodeError as e: logger.warning(f"解析客户端消息失败 - Channel: {self.channel_name}: {e}") except Exception as e: logger.error(f"处理客户端消息异常 - Channel: {self.channel_name}: {e}", exc_info=True) async def notification_message(self, event): """ 接收来自 Channel Layer 的通知消息 转发给 WebSocket 客户端 Args: event: 消息事件，包含通知数据 """ try: # 构造发送给客户端的消息 message = { 'type': 'notification', 'id': event['id'], 'category': event.get('category', 'system'), 'title': event['title'], 'message': event['message'], 'level': event['level'], 'created_at': event['created_at'] } # 发送给客户端 await self.send(text_data=json.dumps(message, ensure_ascii=False)) logger.debug(f"通知已推送 - Channel: {self.channel_name}, ID: {event['id']}") except Exception as e: logger.error(f"推送通知失败 - Channel: {self.channel_name}: {e}", exc_info=True) async def _heartbeat_loop(self): """ 服务端主动心跳循环（可选） 定期向客户端发送 ping 消息，保持连接活跃 防止中间件或防火墙断开长时间无活动的连接 注意：通常客户端心跳就足够了，这是额外的保险措施 """ try: while True: await asyncio.sleep(45) # 每 45 秒发送一次心跳 await self.send(text_data=json.dumps({ 'type': 'ping', 'message': '服务端心跳' }, ensure_ascii=False)) logger.debug(f"服务端心跳已发送 - Channel: {self.channel_name}") except asyncio.CancelledError: logger.debug(f"心跳循环已取消 - Channel: {self.channel_name}") except Exception as e: logger.error(f"心跳循环异常 - Channel: {self.channel_name}: {e}", exc_info=True) ================================================ FILE: backend/apps/scan/notifications/models.py ================================================ """通知系统数据模型""" import logging from datetime import timedelta from django.db import models from django.utils import timezone from .types import NotificationCategory, NotificationLevel logger = logging.getLogger(__name__) class NotificationSettings(models.Model): """ 通知设置（单例模型） 存储 Discord webhook 配置和各分类的通知开关 """ # Discord 配置 discord_enabled = models.BooleanField(default=False, help_text='是否启用 Discord 通知') discord_webhook_url = models.URLField(blank=True, default='', help_text='Discord Webhook URL') # 企业微信配置 wecom_enabled = models.BooleanField(default=False, help_text='是否启用企业微信通知') wecom_webhook_url = models.URLField(blank=True, default='', help_text='企业微信机器人 Webhook URL') # 分类开关（使用 JSONField 存储） categories = models.JSONField( default=dict, help_text='各分类通知开关，如 {"scan": true, "vulnerability": true, "asset": true, "system": false}' ) # 时间信息 created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class Meta: db_table = 'notification_settings' verbose_name = '通知设置' verbose_name_plural = '通知设置' def save(self, *args, **kwargs): self.pk = 1 # 单例模式 super().save(*args, **kwargs) @classmethod def get_instance(cls) -> 'NotificationSettings': """获取或创建单例实例""" obj, _ = cls.objects.get_or_create( pk=1, defaults={ 'discord_enabled': False, 'discord_webhook_url': '', 'categories': { 'scan': True, 'vulnerability': True, 'asset': True, 'system': False, } } ) return obj def is_category_enabled(self, category: str) -> bool: """检查指定分类是否启用通知""" return self.categories.get(category, False) class Notification(models.Model): """通知模型""" id = models.AutoField(primary_key=True) category = models.CharField( max_length=20, choices=NotificationCategory.choices, default=NotificationCategory.SYSTEM, db_index=True, help_text='通知分类' ) level = models.CharField( max_length=20, choices=NotificationLevel.choices, default=NotificationLevel.LOW, db_index=True, help_text='通知级别' ) title = models.CharField(max_length=200, help_text='通知标题') message = models.CharField(max_length=2000, help_text='通知内容') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') is_read = models.BooleanField(default=False, help_text='是否已读') read_at = models.DateTimeField(null=True, blank=True, help_text='阅读时间') class Meta: db_table = 'notification' verbose_name = '通知' verbose_name_plural = '通知' ordering = ['-created_at'] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['category', '-created_at']), models.Index(fields=['level', '-created_at']), models.Index(fields=['is_read', '-created_at']), ] def __str__(self): return f"{self.get_level_display()} - {self.title}" @classmethod def cleanup_old_notifications(cls) -> int: """清理超过15天的旧通知""" cutoff_date = timezone.now() - timedelta(days=15) deleted_count, _ = cls.objects.filter(created_at__lt=cutoff_date).delete() return deleted_count or 0 def save(self, *args, **kwargs): """重写save方法，在创建新通知时自动清理旧通知""" is_new = self.pk is None super().save(*args, **kwargs) if is_new: try: deleted_count = self.__class__.cleanup_old_notifications() if deleted_count > 0: logger.info("自动清理了 %d 条超过15天的旧通知", deleted_count) except Exception: logger.warning("通知自动清理失败", exc_info=True) ================================================ FILE: backend/apps/scan/notifications/receivers.py ================================================ """信号接收器 - 处理通知相关的信号 监听各种信号并发送相应的通知。 """ import logging from django.dispatch import receiver from apps.common.signals import vulnerabilities_saved, worker_delete_failed, all_workers_high_load from apps.scan.notifications import create_notification, NotificationLevel, NotificationCategory logger = logging.getLogger(__name__) @receiver(vulnerabilities_saved) def on_vulnerabilities_saved(sender, items, scan_id, target_id, **kwargs): """漏洞保存完成后的通知处理 为每个漏洞发送详细通知 """ if not items: return # 获取目标名称 target_name = "未知目标" if target_id: try: from apps.targets.models import Target target = Target.objects.filter(id=target_id).first() if target: target_name = target.name except Exception: pass # 严重程度映射 severity_level_map = { 'critical': NotificationLevel.CRITICAL, 'high': NotificationLevel.HIGH, 'medium': NotificationLevel.MEDIUM, 'low': NotificationLevel.LOW, } for vuln in items: try: severity = vuln.severity or 'unknown' # 构建漏洞详情消息 message = f"漏洞：{vuln.vuln_type}\n" message += f"程度：{severity}\n" message += f"目标：{target_name}\n" message += f"URL：{vuln.url}" if vuln.source: message += f"\n来源：{vuln.source}" if vuln.description: message += f"\n描述：{vuln.description}" # 根据漏洞严重程度设置通知级别 level = severity_level_map.get(severity.lower(), NotificationLevel.MEDIUM) create_notification( title=f"{vuln.vuln_type}", message=message, level=level, category=NotificationCategory.VULNERABILITY ) except Exception as e: logger.error("发送漏洞通知失败 - url=%s: %s", vuln.url, e, exc_info=True) logger.info("漏洞通知已发送 - scan_id=%s, 数量=%d", scan_id, len(items)) @receiver(worker_delete_failed) def on_worker_delete_failed(sender, worker_name, message, **kwargs): """Worker 删除失败时的通知处理""" create_notification( title="Worker 删除警告", message=f"节点 {worker_name} 已从数据库删除，但远程卸载失败: {message}", level=NotificationLevel.MEDIUM, category=NotificationCategory.SYSTEM ) logger.warning("Worker 删除失败通知已发送 - worker=%s, message=%s", worker_name, message) @receiver(all_workers_high_load) def on_all_workers_high_load(sender, worker_name, cpu, mem, **kwargs): """所有 Worker 高负载时的通知处理""" create_notification( title="系统负载较高", 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", level=NotificationLevel.MEDIUM, category=NotificationCategory.SYSTEM ) logger.warning("高负载通知已发送 - cpu=%.1f%%, mem=%.1f%%", cpu, mem) ================================================ FILE: backend/apps/scan/notifications/repositories.py ================================================ """通知系统仓储层模块""" import logging from dataclasses import dataclass from typing import Optional from django.db.models import QuerySet from django.utils import timezone from apps.common.decorators import auto_ensure_db_connection from .models import Notification, NotificationSettings logger = logging.getLogger(__name__) @dataclass class NotificationSettingsData: """通知设置更新数据""" discord_enabled: bool discord_webhook_url: str categories: dict[str, bool] wecom_enabled: bool = False wecom_webhook_url: str = '' @auto_ensure_db_connection class NotificationSettingsRepository: """通知设置仓储层""" def get_settings(self) -> NotificationSettings: """获取通知设置单例""" return NotificationSettings.get_instance() def update_settings(self, data: NotificationSettingsData) -> NotificationSettings: """更新通知设置""" settings = NotificationSettings.get_instance() settings.discord_enabled = data.discord_enabled settings.discord_webhook_url = data.discord_webhook_url settings.wecom_enabled = data.wecom_enabled settings.wecom_webhook_url = data.wecom_webhook_url settings.categories = data.categories settings.save() return settings def is_category_enabled(self, category: str) -> bool: """检查指定分类是否启用""" return self.get_settings().is_category_enabled(category) @auto_ensure_db_connection class DjangoNotificationRepository: """通知数据仓储层""" def get_filtered( self, level: Optional[str] = None, unread: Optional[bool] = None ) -> QuerySet[Notification]: """ 获取过滤后的通知列表 Args: level: 通知级别过滤 unread: 已读状态过滤 (True=未读, False=已读, None=全部) """ queryset = Notification.objects.all() if level: queryset = queryset.filter(level=level) if unread is True: queryset = queryset.filter(is_read=False) elif unread is False: queryset = queryset.filter(is_read=True) return queryset.order_by("-created_at") def get_unread_count(self) -> int: """获取未读通知数量""" return Notification.objects.filter(is_read=False).count() def mark_all_as_read(self) -> int: """标记所有通知为已读，返回更新数量""" return Notification.objects.filter(is_read=False).update( is_read=True, read_at=timezone.now(), ) def create( self, title: str, message: str, level: str, category: str = 'system' ) -> Notification: """创建新通知""" return Notification.objects.create( category=category, level=level, title=title, message=message, ) ================================================ FILE: backend/apps/scan/notifications/routing.py ================================================ """ WebSocket 路由配置 """ from django.urls import path # 延迟导入，避免循环依赖 from .consumers import NotificationConsumer websocket_urlpatterns = [ path('ws/notifications/', NotificationConsumer.as_asgi()), ] ================================================ FILE: backend/apps/scan/notifications/serializers.py ================================================ """通知序列化器""" from rest_framework import serializers from .models import Notification class NotificationSerializer(serializers.ModelSerializer): class Meta: model = Notification fields = [ 'id', 'category', 'title', 'message', 'level', 'is_read', 'created_at', 'read_at', ] ================================================ FILE: backend/apps/scan/notifications/services.py ================================================ """通知服务 - 支持数据库存储和 WebSocket 实时推送""" import logging import time import requests import urllib3 from .models import Notification, NotificationSettings from .types import NotificationLevel, NotificationCategory from .repositories import DjangoNotificationRepository, NotificationSettingsRepository # 禁用自签名证书的 SSL 警告（远程 Worker 回调场景） urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) logger = logging.getLogger(__name__) # ============================================================ # 外部推送渠道抽象 # ============================================================ # Discord Embed 颜色映射（使用字符串 key，因为 model 字段存储的是字符串） DISCORD_COLORS = { 'low': 0x3498db, # 蓝色 'medium': 0xf39c12, # 橙色 'high': 0xe74c3c, # 红色 'critical': 0x9b59b6, # 紫色 } # 分类 emoji（使用字符串 key） CATEGORY_EMOJI = { 'scan': '🔍', 'vulnerability': '⚠️', 'asset': '🌐', 'system': '⚙️', } def push_to_external_channels(notification: Notification) -> None: """ 推送通知到外部渠道（Discord、Slack 等） 根据用户设置决定推送到哪些渠道。 目前支持：Discord 未来可扩展：Slack、Telegram、Email 等 Args: notification: 通知对象 """ settings = NotificationSettings.get_instance() # 检查分类是否启用 if not settings.is_category_enabled(notification.category): logger.debug(f"分类 {notification.category} 未启用外部推送") return # Discord 渠道 if settings.discord_enabled and settings.discord_webhook_url: try: _send_discord(notification, settings.discord_webhook_url) except Exception as e: logger.warning(f"Discord 推送失败: {e}") # 企业微信渠道 if settings.wecom_enabled and settings.wecom_webhook_url: try: _send_wecom(notification, settings.wecom_webhook_url) except Exception as e: logger.warning(f"企业微信推送失败: {e}") def _send_discord(notification: Notification, webhook_url: str) -> bool: """发送到 Discord Webhook""" try: color = DISCORD_COLORS.get(notification.level, 0x95a5a6) emoji = CATEGORY_EMOJI.get(notification.category, '📢') embed = { 'title': f"{emoji} {notification.title}", 'description': notification.message, 'color': color, 'footer': { 'text': f"级别: {notification.get_level_display()} | 分类: {notification.get_category_display()}" }, 'timestamp': notification.created_at.isoformat(), } response = requests.post( webhook_url, json={'embeds': [embed]}, timeout=10 ) if response.status_code in (200, 204): logger.info(f"Discord 通知发送成功 - {notification.title}") return True else: logger.warning(f"Discord 发送失败 - 状态码: {response.status_code}") return False except requests.RequestException as e: logger.error(f"Discord 网络错误: {e}") return False def _send_wecom(notification: Notification, webhook_url: str) -> bool: """发送到企业微信机器人 Webhook""" try: emoji = CATEGORY_EMOJI.get(notification.category, '📢') # 企业微信 Markdown 格式 content = f"""**{emoji} {notification.title}** > 级别：{notification.get_level_display()} > 分类：{notification.get_category_display()} {notification.message}""" payload = { 'msgtype': 'markdown', 'markdown': {'content': content} } response = requests.post(webhook_url, json=payload, timeout=10) if response.status_code == 200: result = response.json() if result.get('errcode') == 0: logger.info(f"企业微信通知发送成功 - {notification.title}") return True logger.warning(f"企业微信发送失败 - errcode: {result.get('errcode')}, errmsg: {result.get('errmsg')}") return False logger.warning(f"企业微信发送失败 - 状态码: {response.status_code}") return False except requests.RequestException as e: logger.error(f"企业微信网络错误: {e}") return False # ============================================================ # 设置服务 # ============================================================ class NotificationSettingsService: """通知设置服务""" def __init__(self, repository: NotificationSettingsRepository | None = None): self.repo = repository or NotificationSettingsRepository() def get_settings(self) -> dict: """获取通知设置（前端格式）""" settings = self.repo.get_settings() return { 'discord': { 'enabled': settings.discord_enabled, 'webhookUrl': settings.discord_webhook_url, }, 'wecom': { 'enabled': settings.wecom_enabled, 'webhookUrl': settings.wecom_webhook_url, }, 'categories': settings.categories, } def update_settings(self, data: dict) -> dict: """更新通知设置 注意：DRF CamelCaseJSONParser 会将前端的 webhookUrl 转换为 webhook_url """ discord_data = data.get('discord', {}) wecom_data = data.get('wecom', {}) categories = data.get('categories', {}) # CamelCaseJSONParser 转换后的字段名是 webhook_url discord_webhook_url = discord_data.get('webhook_url', '') wecom_webhook_url = wecom_data.get('webhook_url', '') settings = self.repo.update_settings( discord_enabled=discord_data.get('enabled', False), discord_webhook_url=discord_webhook_url, wecom_enabled=wecom_data.get('enabled', False), wecom_webhook_url=wecom_webhook_url, categories=categories, ) return { 'discord': { 'enabled': settings.discord_enabled, 'webhookUrl': settings.discord_webhook_url, }, 'wecom': { 'enabled': settings.wecom_enabled, 'webhookUrl': settings.wecom_webhook_url, }, 'categories': settings.categories, } class NotificationService: """通知业务服务，封装常用查询与更新操作""" def __init__(self, repository: DjangoNotificationRepository | None = None): self.repo = repository or DjangoNotificationRepository() def get_notifications(self, level: str | None = None, unread: bool | None = None): return self.repo.get_filtered(level=level, unread=unread) def get_unread_count(self) -> int: return self.repo.get_unread_count() def mark_all_as_read(self) -> int: return self.repo.mark_all_as_read() def create_notification( title: str, message: str, level: NotificationLevel = NotificationLevel.LOW, category: NotificationCategory = NotificationCategory.SYSTEM ) -> Notification: """ 创建通知记录并实时推送 增强的重试机制： - 最多重试 3 次 - 每次重试前强制关闭并重建数据库连接 - 重试间隔：1秒 → 2秒 → 3秒 - 针对连接错误进行特殊处理 Args: title: 通知标题 message: 通知消息 level: 通知级别 category: 通知分类 Returns: Notification: 创建的通知对象 Raises: Exception: 重试3次后仍然失败 """ from django.db import connection from psycopg2 import OperationalError, InterfaceError repo = DjangoNotificationRepository() max_retries = 3 last_exception = None for attempt in range(1, max_retries + 1): try: # 强制关闭旧连接并重建（每次尝试都重建） if attempt > 1: logger.debug(f"重试创建通知 ({attempt}/{max_retries}) - {title}") connection.close() connection.ensure_connection() # 测试连接是否真的可用 connection.cursor().execute("SELECT 1") # 1. 写入数据库（通过仓储层统一访问 ORM） notification = repo.create( title=title, message=message, level=level, category=category, ) # 2. WebSocket 实时推送（推送失败不影响通知创建） try: _push_to_websocket(notification) except Exception as push_error: logger.warning(f"WebSocket 推送失败，但通知已创建 - {title}: {push_error}") # 3. 外部渠道推送（Discord/Slack 等，推送失败不影响通知创建） try: push_to_external_channels(notification) except Exception as external_error: logger.warning(f"外部渠道推送失败，但通知已创建 - {title}: {external_error}") if attempt > 1: logger.info(f"✓ 通知创建成功（重试 {attempt-1} 次后） - {title}") else: logger.debug(f"通知已创建并推送 - {title}") return notification except (OperationalError, InterfaceError) as e: # 数据库连接错误，需要重试 last_exception = e error_msg = str(e) logger.warning( f"数据库连接错误 ({attempt}/{max_retries}) - {title}: {error_msg[:100]}" ) if attempt < max_retries: # 指数退避：1秒、2秒、3秒 sleep_time = attempt logger.debug(f"等待 {sleep_time} 秒后重试...") time.sleep(sleep_time) else: logger.error( f"创建通知失败 - 数据库连接问题（已重试 {max_retries} 次） - {title}: {error_msg}" ) except Exception as e: # 其他错误，不重试直接抛出 last_exception = e error_str = str(e).lower() if 'connection' in error_str or 'closed' in error_str: logger.error(f"创建通知失败 - 连接相关错误 - {title}: {e}") else: logger.error(f"创建通知失败 - {title}: {e}") # 非连接错误，直接抛出不重试 raise # 所有重试都失败了 error_msg = f"创建通知失败 - 已重试 {max_retries} 次仍然失败 - {title}" logger.error(error_msg) raise RuntimeError(error_msg) from last_exception def _push_to_websocket(notification: Notification) -> None: """ 推送通知到 WebSocket 客户端 - 在 Server 容器中：直接通过 Channel Layer 推送 - 在 Worker 容器中：通过 API 回调让 Server 推送（因为 Worker 无法访问 Redis） """ import os # 检测是否在 Worker 容器中（有 SERVER_URL 环境变量） server_url = os.environ.get("SERVER_URL") if server_url: # Worker 容器：通过 API 回调 _push_via_api_callback(notification, server_url) else: # Server 容器：直接推送 _push_via_channel_layer(notification) def _push_via_api_callback(notification: Notification, server_url: str) -> None: """ 通过 HTTP 回调推送通知（Worker → Server 跨容器通信） 注意：这不是同进程内的 service 调用 view，而是 Worker 容器 通过 HTTP 请求 Server 容器的 /api/callbacks/notification/ 接口。 Worker 无法直接访问 Redis，需要由 Server 代为推送 WebSocket。 """ import os import requests try: callback_url = f"{server_url}/api/callbacks/notification/" data = { 'id': notification.id, 'category': notification.category, 'title': notification.title, 'message': notification.message, 'level': notification.level, 'created_at': notification.created_at.isoformat() } # 构建请求头（包含 Worker API Key） headers = {'Content-Type': 'application/json'} worker_api_key = os.environ.get("WORKER_API_KEY", "") if worker_api_key: headers["X-Worker-API-Key"] = worker_api_key # verify=False: 远程 Worker 回调 Server 时可能使用自签名证书 resp = requests.post(callback_url, json=data, headers=headers, timeout=5, verify=False) resp.raise_for_status() logger.debug(f"通知回调推送成功 - ID: {notification.id}") except Exception as e: logger.warning(f"通知回调推送失败 - ID: {notification.id}: {e}") def _push_via_channel_layer(notification: Notification) -> None: """通过 Channel Layer 直接推送通知（Server 容器使用）""" try: logger.debug(f"开始推送通知到 WebSocket - ID: {notification.id}") from asgiref.sync import async_to_sync from channels.layers import get_channel_layer # 获取 Channel Layer channel_layer = get_channel_layer() if channel_layer is None: logger.warning("Channel Layer 未配置，跳过 WebSocket 推送") return # 构造通知数据 data = { 'type': 'notification.message', # 对应 Consumer 的 notification_message 方法 'id': notification.id, 'category': notification.category, 'title': notification.title, 'message': notification.message, 'level': notification.level, 'created_at': notification.created_at.isoformat() } # 发送到通知组（所有连接的客户端） async_to_sync(channel_layer.group_send)( 'notifications', # 组名 data ) logger.debug(f"通知推送成功 - ID: {notification.id}") except ImportError as e: logger.warning(f"Channels 模块未安装，跳过 WebSocket 推送: {e}") except Exception as e: logger.warning(f"WebSocket 推送失败 - ID: {notification.id}: {e}", exc_info=True) ================================================ FILE: backend/apps/scan/notifications/types.py ================================================ """通知系统类型定义""" from django.db import models class NotificationLevel(models.TextChoices): """通知级别""" LOW = 'low', '低' MEDIUM = 'medium', '中' HIGH = 'high', '高' CRITICAL = 'critical', '严重' class NotificationCategory(models.TextChoices): """通知分类""" SCAN = 'scan', '扫描任务' VULNERABILITY = 'vulnerability', '漏洞发现' ASSET = 'asset', '资产发现' SYSTEM = 'system', '系统消息' ================================================ FILE: backend/apps/scan/notifications/urls.py ================================================ """ 通知系统 URL 配置 """ from django.urls import path from . import views from .views import ( NotificationCollectionView, NotificationMarkAllAsReadView, NotificationUnreadCountView, ) app_name = 'notifications' urlpatterns = [ # 通知列表 path('', NotificationCollectionView.as_view(), name='list'), # 未读数量 path('unread-count/', NotificationUnreadCountView.as_view(), name='unread-count'), # 标记全部已读 path('mark-all-as-read/', NotificationMarkAllAsReadView.as_view(), name='mark-all-as-read'), ] # WebSocket 实时通知路由在 routing.py 中定义：ws://host/ws/notifications/ ================================================ FILE: backend/apps/scan/notifications/views.py ================================================ """ 通知系统视图 - REST API 和测试接口 """ import logging from typing import Any from django.http import JsonResponse from django.utils import timezone from rest_framework import status from rest_framework.decorators import api_view from rest_framework.request import Request from rest_framework.response import Response from rest_framework.views import APIView from apps.common.pagination import BasePagination from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from .models import Notification from .serializers import NotificationSerializer from .types import NotificationLevel from .services import NotificationService, NotificationSettingsService logger = logging.getLogger(__name__) def _parse_bool(value: str | None) -> bool | None: """解析字符串为布尔值 Args: value: 字符串值，支持 '1', 'true', 'yes' 为 True；'0', 'false', 'no' 为 False Returns: 布尔值，或 None（如果无法解析） """ if value is None: return None value = str(value).strip().lower() if value in {'1', 'true', 'yes'}: return True if value in {'0', 'false', 'no'}: return False return None class NotificationCollectionView(APIView): """通知列表 支持的方法： - GET: 获取通知列表（支持分页和过滤） """ pagination_class = BasePagination def get(self, request: Request) -> Response: """ 获取通知列表 URL: GET /api/notifications/?page=1&pageSize=20&level=info&unread=true 查询参数: - page: 页码（默认 1） - pageSize: 每页数量（默认 10，最大 1000） - level: 通知级别过滤（low/medium/high） - unread: 是否未读（true/false） 返回: - results: 通知列表 - total: 总记录数 - page: 当前页码 - page_size: 每页大小 - total_pages: 总页数 """ service = NotificationService() # 按级别过滤 level_param = request.query_params.get('level') level_filter = level_param if level_param in NotificationLevel.values else None # 按已读状态过滤 # unread=true: 仅未读 unread=false: 仅已读 unread=None: 全部 unread_param = _parse_bool(request.query_params.get('unread')) queryset = service.get_notifications(level=level_filter, unread=unread_param) # 使用通用分页器 paginator = self.pagination_class() page_obj = paginator.paginate_queryset(queryset, request) serializer = NotificationSerializer(page_obj, many=True) return paginator.get_paginated_response(serializer.data) class NotificationUnreadCountView(APIView): """获取未读通知数量 URL: GET /api/notifications/unread-count/ 功能: - 返回当前未读通知的数量 返回: - count: 未读通知数量 """ def get(self, request: Request) -> Response: """获取未读通知数量""" service = NotificationService() count = service.get_unread_count() return success_response(data={'count': count}) class NotificationMarkAllAsReadView(APIView): """标记全部通知为已读 URL: POST /api/notifications/mark-all-as-read/ 功能: - 将所有未读通知标记为已读 - 更新 read_at 时间戳 返回: - updated: 更新的通知数量 """ def post(self, request: Request) -> Response: """标记全部通知为已读""" service = NotificationService() updated = service.mark_all_as_read() return success_response(data={'updated': updated}) class NotificationSettingsView(APIView): """通知设置 API URL: /api/settings/notifications/ 支持的方法： - GET: 获取当前通知设置 - PUT: 更新通知设置 """ def get(self, request: Request) -> Response: """获取通知设置""" service = NotificationSettingsService() settings = service.get_settings() return success_response(data=settings) def put(self, request: Request) -> Response: """更新通知设置""" service = NotificationSettingsService() settings = service.update_settings(request.data) return success_response(data=settings) # ============================================ # Worker 回调 API # ============================================ @api_view(['POST']) # 权限由全局 IsAuthenticatedOrPublic 处理，/api/callbacks/* 需要 Worker API Key 认证 def notification_callback(request): """ 接收 Worker 的通知推送请求 Worker 容器无法直接访问 Redis，通过此 API 回调让 Server 推送 WebSocket。 需要 Worker API Key 认证（X-Worker-API-Key Header）。 POST /api/callbacks/notification/ { "id": 1, "category": "scan", "title": "扫描开始", "message": "...", "level": "info", "created_at": "2025-01-01T00:00:00" } """ try: data = request.data # 验证必要字段 required_fields = ['id', 'category', 'title', 'message', 'level', 'created_at'] for field in required_fields: if field not in data: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=f'Missing field: {field}', status_code=status.HTTP_400_BAD_REQUEST ) # 推送到 WebSocket _push_notification_to_websocket(data) logger.debug(f"回调通知推送成功 - ID: {data['id']}, Title: {data['title']}") return success_response(data={'status': 'ok'}) except Exception as e: logger.error(f"回调通知处理失败: {e}", exc_info=True) return error_response( code=ErrorCodes.SERVER_ERROR, message=str(e), status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) def _push_notification_to_websocket(data: dict): """推送通知到 WebSocket（Server 端使用）""" from asgiref.sync import async_to_sync from channels.layers import get_channel_layer channel_layer = get_channel_layer() if channel_layer is None: logger.warning("Channel Layer 未配置，跳过 WebSocket 推送") return # 构造通知数据 ws_data = { 'type': 'notification.message', 'id': data['id'], 'category': data['category'], 'title': data['title'], 'message': data['message'], 'level': data['level'], 'created_at': data['created_at'] } # 发送到通知组 async_to_sync(channel_layer.group_send)( 'notifications', ws_data ) ================================================ FILE: backend/apps/scan/orchestrators/__init__.py ================================================ """ 工作流编排器模块 提供工作流编排相关的类和函数 """ from .flow_orchestrator import FlowOrchestrator __all__ = [ 'FlowOrchestrator', ] ================================================ FILE: backend/apps/scan/orchestrators/flow_orchestrator.py ================================================ """ 工作流编排器 职责： - 解析 YAML 配置 - 检测扫描类型 - 提供 Flow 函数映射 - 生成执行计划 注意：本类只负责准备和解析，不执行 Flow Flow 的执行由 initiate_scan_flow (Prefect @flow) 负责 """ import logging import yaml from typing import Dict, List, Optional, Callable, Any from apps.scan.configs.command_templates import get_supported_scan_types, EXECUTION_STAGES logger = logging.getLogger(__name__) class FlowOrchestrator: """ 工作流编排器 负责解析 YAML 配置并生成执行计划，不执行具体的 Flow """ def __init__(self, engine_config: str): """ 初始化编排器 Args: engine_config: YAML 格式的引擎配置字符串 Raises: ValueError: 配置为空或解析失败 """ if not engine_config or not engine_config.strip(): raise ValueError("引擎配置不能为空") try: self.config = yaml.safe_load(engine_config) or {} except yaml.YAMLError as e: logger.error(f"引擎配置解析失败: {e}") raise ValueError(f"引擎配置解析失败: {e}") if not self.config: raise ValueError("引擎配置为空") # 检测启用的扫描类型 self.scan_types = self._detect_scan_types() # 解析所有扫描类型的工具配置 from apps.scan.utils.config_parser import parse_enabled_tools_from_dict self.enabled_tools_by_type = {} for scan_type in self.scan_types: try: enabled_tools = parse_enabled_tools_from_dict( scan_type=scan_type, parsed_config=self.config ) if enabled_tools: self.enabled_tools_by_type[scan_type] = enabled_tools logger.debug(f"✓ {scan_type}: {len(enabled_tools)} 个启用工具") except Exception as e: logger.error(f"解析 {scan_type} 工具配置失败: {e}") raise 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") def _parse_config(self, engine_config: str) -> Dict: """ 解析 YAML 配置 Args: engine_config: YAML 格式字符串 Returns: dict: 解析后的配置字典 Raises: ValueError: 配置为空或解析失败 """ if not engine_config: raise ValueError("引擎配置为空，请提供有效的 YAML 配置") try: config = yaml.safe_load(engine_config) if not config: raise ValueError("YAML 配置解析结果为空") logger.info(f"YAML 配置解析成功，检测到的 key: {list(config.keys())}") return config except yaml.YAMLError as e: raise ValueError(f"YAML 配置解析失败: {e}") def _detect_scan_types(self) -> List[str]: """ 检测配置中已启用的扫描类型（按 YAML 顺序） Returns: list: 已启用的扫描类型列表 Raises: ValueError: 未检测到有效的扫描类型 """ # 保持 YAML 中的顺序，且只包含已启用的类型 supported_scan_types = get_supported_scan_types() scan_types = [ key for key in self.config.keys() if key in supported_scan_types and self.is_scan_type_enabled(key) ] if not scan_types: raise ValueError( f"未检测到已启用的扫描类型。\n" f"配置中的 key: {list(self.config.keys())}\n" f"支持的扫描类型: {supported_scan_types}" ) logger.info(f"检测到已启用的扫描类型（按顺序）: {scan_types}") return scan_types def is_scan_type_enabled(self, scan_type: str) -> bool: """ 判断指定扫描类型是否启用（存在配置且有启用的工具） Args: scan_type: 扫描类型 Returns: bool: 是否启用 """ if scan_type not in self.config: return False scan_config = self.config.get(scan_type, {}) # 子域名发现使用 passive_tools 结构 if scan_type == 'subdomain_discovery': passive_tools = scan_config.get('passive_tools', {}) for tool_config in passive_tools.values(): if isinstance(tool_config, dict) and tool_config.get('enabled', False): return True return False # 其他扫描类型（包括 screenshot）：检查 tools tools = scan_config.get('tools', {}) for tool_config in tools.values(): if isinstance(tool_config, dict) and tool_config.get('enabled', False): return True return False def get_execution_stages(self): """ 迭代器：获取所有执行阶段 Yields: tuple: (mode, enabled_flows) - mode: 执行模式（'sequential' 或 'parallel'） - enabled_flows: 该阶段中已启用的扫描类型列表 Example: for mode, flows in orchestrator.get_execution_stages(): if mode == 'sequential': for flow in flows: execute_flow(flow) else: # parallel execute_parallel(flows) """ for stage in EXECUTION_STAGES: # 筛选出已启用的流程 enabled_flows = [ flow for flow in stage['flows'] if flow in self.scan_types ] # 只返回有启用流程的阶段 if enabled_flows: logger.debug(f"阶段 {stage['mode']}: {enabled_flows}") yield stage['mode'], enabled_flows def get_flow_function(self, scan_type: str) -> Optional[Callable]: """ 获取指定扫描类型的 Flow 函数（延迟导入） Args: scan_type: 扫描类型 Returns: Callable: Flow 函数，如果未实现则返回 None """ if scan_type == 'subdomain_discovery': from apps.scan.flows.subdomain_discovery_flow import subdomain_discovery_flow return subdomain_discovery_flow elif scan_type == 'port_scan': from apps.scan.flows.port_scan_flow import port_scan_flow return port_scan_flow elif scan_type == 'site_scan': from apps.scan.flows.site_scan_flow import site_scan_flow return site_scan_flow elif scan_type == 'fingerprint_detect': from apps.scan.flows.fingerprint_detect_flow import fingerprint_detect_flow return fingerprint_detect_flow elif scan_type == 'directory_scan': from apps.scan.flows.directory_scan_flow import directory_scan_flow return directory_scan_flow elif scan_type == 'url_fetch': from apps.scan.flows.url_fetch import url_fetch_flow return url_fetch_flow elif scan_type == 'vuln_scan': from apps.scan.flows.vuln_scan import vuln_scan_flow return vuln_scan_flow elif scan_type == 'screenshot': from apps.scan.flows.screenshot_flow import screenshot_flow return screenshot_flow else: logger.warning(f"未实现的扫描类型: {scan_type}") return None ================================================ FILE: backend/apps/scan/providers/__init__.py ================================================ """ 扫描目标提供者模块 提供统一的目标获取接口，支持多种数据源： - DatabaseTargetProvider: 从数据库查询（完整扫描） - ListTargetProvider: 使用内存列表（快速扫描阶段1） - SnapshotTargetProvider: 从快照表读取（快速扫描阶段2+） - PipelineTargetProvider: 使用管道输出（Phase 2） 使用方式： from apps.scan.providers import ( DatabaseTargetProvider, ListTargetProvider, SnapshotTargetProvider, ProviderContext ) # 数据库模式（完整扫描） provider = DatabaseTargetProvider(target_id=123) # 列表模式（快速扫描阶段1） context = ProviderContext(target_id=1, scan_id=100) provider = ListTargetProvider( targets=["a.test.com"], context=context ) # 快照模式（快速扫描阶段2+） context = ProviderContext(target_id=1, scan_id=100) provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain", context=context ) # 使用 Provider for host in provider.iter_hosts(): scan(host) """ from .base import TargetProvider, ProviderContext from .list_provider import ListTargetProvider from .database_provider import DatabaseTargetProvider from .snapshot_provider import SnapshotTargetProvider, SnapshotType from .pipeline_provider import PipelineTargetProvider, StageOutput __all__ = [ 'TargetProvider', 'ProviderContext', 'ListTargetProvider', 'DatabaseTargetProvider', 'SnapshotTargetProvider', 'SnapshotType', 'PipelineTargetProvider', 'StageOutput', ] ================================================ FILE: backend/apps/scan/providers/base.py ================================================ """ 扫描目标提供者基础模块 定义 ProviderContext 数据类和 TargetProvider 抽象基类。 """ import ipaddress import logging from abc import ABC, abstractmethod from dataclasses import dataclass from typing import TYPE_CHECKING, Iterator, Optional if TYPE_CHECKING: from apps.common.utils import BlacklistFilter logger = logging.getLogger(__name__) @dataclass class ProviderContext: """ Provider 上下文，携带元数据 Attributes: target_id: 关联的 Target ID（用于结果保存），None 表示临时扫描（不保存） scan_id: 扫描任务 ID """ target_id: Optional[int] = None scan_id: Optional[int] = None class TargetProvider(ABC): """ 扫描目标提供者抽象基类 职责： - 提供扫描目标（域名、IP、URL 等）的迭代器 - 提供黑名单过滤器 - 携带上下文信息（target_id, scan_id 等） - 自动展开 CIDR（子类无需关心） 使用方式： provider = create_target_provider(target_id=123) for host in provider.iter_hosts(): print(host) """ def __init__(self, context: Optional[ProviderContext] = None): self._context = context or ProviderContext() @property def context(self) -> ProviderContext: """返回 Provider 上下文""" return self._context @staticmethod def _expand_host(host: str) -> Iterator[str]: """ 展开主机（如果是 CIDR 则展开为多个 IP，否则直接返回） 示例： "192.168.1.0/30" → "192.168.1.1", "192.168.1.2" "192.168.1.1" → "192.168.1.1" "example.com" → "example.com" """ from apps.common.validators import detect_target_type from apps.targets.models import Target host = host.strip() if not host: return try: target_type = detect_target_type(host) if target_type == Target.TargetType.CIDR: network = ipaddress.ip_network(host, strict=False) if network.num_addresses == 1: yield str(network.network_address) else: yield from (str(ip) for ip in network.hosts()) elif target_type in (Target.TargetType.IP, Target.TargetType.DOMAIN): yield host except ValueError as e: logger.warning("跳过无效的主机格式 '%s': %s", host, str(e)) def iter_hosts(self) -> Iterator[str]: """迭代主机列表（域名/IP），自动展开 CIDR""" for host in self._iter_raw_hosts(): yield from self._expand_host(host) @abstractmethod def _iter_raw_hosts(self) -> Iterator[str]: """迭代原始主机列表（可能包含 CIDR），子类实现""" pass @abstractmethod def iter_urls(self) -> Iterator[str]: """迭代 URL 列表""" pass @abstractmethod def get_blacklist_filter(self) -> Optional['BlacklistFilter']: """获取黑名单过滤器，返回 None 表示不过滤""" pass @property def target_id(self) -> Optional[int]: """返回关联的 target_id，临时扫描返回 None""" return self._context.target_id @property def scan_id(self) -> Optional[int]: """返回关联的 scan_id""" return self._context.scan_id ================================================ FILE: backend/apps/scan/providers/database_provider.py ================================================ """ 数据库目标提供者模块 提供基于数据库查询的目标提供者实现。 """ import logging from typing import TYPE_CHECKING, Iterator, Optional from .base import ProviderContext, TargetProvider if TYPE_CHECKING: from apps.common.utils import BlacklistFilter logger = logging.getLogger(__name__) class DatabaseTargetProvider(TargetProvider): """ 数据库目标提供者 - 从 Target 表及关联资产表查询 数据来源： - iter_hosts(): 根据 Target 类型返回域名/IP - iter_urls(): WebSite/Endpoint 表，带回退链 使用方式： provider = DatabaseTargetProvider(target_id=123) for host in provider.iter_hosts(): scan(host) """ def __init__(self, target_id: int, context: Optional[ProviderContext] = None): ctx = context or ProviderContext() ctx.target_id = target_id super().__init__(ctx) self._blacklist_filter: Optional['BlacklistFilter'] = None def iter_hosts(self) -> Iterator[str]: """从数据库查询主机列表，自动展开 CIDR 并应用黑名单过滤""" blacklist = self.get_blacklist_filter() for host in self._iter_raw_hosts(): for expanded_host in self._expand_host(host): if not blacklist or blacklist.is_allowed(expanded_host): yield expanded_host def _iter_raw_hosts(self) -> Iterator[str]: """从数据库查询原始主机列表（可能包含 CIDR）""" from apps.asset.services.asset.subdomain_service import SubdomainService from apps.targets.models import Target from apps.targets.services import TargetService target = TargetService().get_target(self.target_id) if not target: logger.warning("Target ID %d 不存在", self.target_id) return if target.type == Target.TargetType.DOMAIN: yield target.name for domain in SubdomainService().iter_subdomain_names_by_target( target_id=self.target_id, chunk_size=1000 ): if domain != target.name: yield domain elif target.type in (Target.TargetType.IP, Target.TargetType.CIDR): yield target.name def iter_urls(self) -> Iterator[str]: """从数据库查询 URL 列表，使用回退链：Endpoint → WebSite → Default""" from apps.scan.services.target_export_service import ( DataSource, _iter_urls_with_fallback, ) blacklist = self.get_blacklist_filter() for url, _ in _iter_urls_with_fallback( target_id=self.target_id, sources=[DataSource.ENDPOINT, DataSource.WEBSITE, DataSource.DEFAULT], blacklist_filter=blacklist ): yield url def get_blacklist_filter(self) -> Optional['BlacklistFilter']: """获取黑名单过滤器（延迟加载）""" if self._blacklist_filter is None: from apps.common.services import BlacklistService from apps.common.utils import BlacklistFilter rules = BlacklistService().get_rules(self.target_id) self._blacklist_filter = BlacklistFilter(rules) return self._blacklist_filter ================================================ FILE: backend/apps/scan/providers/list_provider.py ================================================ """ 列表目标提供者模块 提供基于内存列表的目标提供者实现。 """ from typing import Iterator, Optional, List from .base import TargetProvider, ProviderContext class ListTargetProvider(TargetProvider): """ 列表目标提供者 - 直接使用内存中的列表 用于快速扫描、临时扫描等场景，只扫描用户指定的目标。 特点： - 不查询数据库 - 不应用黑名单过滤（用户明确指定的目标） - 不关联 target_id（由调用方负责创建 Target） - 自动检测输入类型（URL/域名/IP/CIDR） - 自动展开 CIDR 使用方式： # 快速扫描：用户提供目标，自动识别类型 provider = ListTargetProvider(targets=[ "example.com", # 域名 "192.168.1.0/24", # CIDR（自动展开） "https://api.example.com" # URL ]) for host in provider.iter_hosts(): scan(host) """ def __init__( self, targets: Optional[List[str]] = None, context: Optional[ProviderContext] = None ): """ 初始化列表目标提供者 Args: targets: 目标列表（自动识别类型：URL/域名/IP/CIDR） context: Provider 上下文 """ from apps.common.validators import detect_input_type ctx = context or ProviderContext() super().__init__(ctx) # 自动分类目标 self._hosts = [] self._urls = [] if targets: for target in targets: target = target.strip() if not target: continue try: input_type = detect_input_type(target) if input_type == 'url': self._urls.append(target) else: # domain/ip/cidr 都作为 host self._hosts.append(target) except ValueError: # 无法识别类型，默认作为 host self._hosts.append(target) def _iter_raw_hosts(self) -> Iterator[str]: """迭代原始主机列表（可能包含 CIDR）""" yield from self._hosts def iter_urls(self) -> Iterator[str]: """迭代 URL 列表""" yield from self._urls def get_blacklist_filter(self) -> None: """列表模式不使用黑名单过滤""" return None ================================================ FILE: backend/apps/scan/providers/pipeline_provider.py ================================================ """ 管道目标提供者模块 提供基于管道阶段输出的目标提供者实现。 用于 Phase 2 管道模式的阶段间数据传递。 """ from dataclasses import dataclass, field from typing import Iterator, Optional, List, Dict, Any from .base import TargetProvider, ProviderContext @dataclass class StageOutput: """ 阶段输出数据 用于在管道阶段之间传递数据。 Attributes: hosts: 主机列表（域名/IP） urls: URL 列表 new_targets: 新发现的目标列表 stats: 统计信息 success: 是否成功 error: 错误信息 """ hosts: List[str] = field(default_factory=list) urls: List[str] = field(default_factory=list) new_targets: List[str] = field(default_factory=list) stats: Dict[str, Any] = field(default_factory=dict) success: bool = True error: Optional[str] = None class PipelineTargetProvider(TargetProvider): """ 管道目标提供者 - 使用上一阶段的输出 用于 Phase 2 管道模式的阶段间数据传递。 特点： - 不查询数据库 - 不应用黑名单过滤（数据已在上一阶段过滤） - 直接使用 StageOutput 中的数据 使用方式（Phase 2）： stage1_output = stage1.run(input) provider = PipelineTargetProvider( previous_output=stage1_output, target_id=123 ) for host in provider.iter_hosts(): stage2.scan(host) """ def __init__( self, previous_output: StageOutput, target_id: Optional[int] = None, context: Optional[ProviderContext] = None ): """ 初始化管道目标提供者 Args: previous_output: 上一阶段的输出 target_id: 可选，关联到某个 Target（用于保存结果） context: Provider 上下文 """ ctx = context or ProviderContext(target_id=target_id) super().__init__(ctx) self._previous_output = previous_output def _iter_raw_hosts(self) -> Iterator[str]: """迭代上一阶段输出的原始主机（可能包含 CIDR）""" yield from self._previous_output.hosts def iter_urls(self) -> Iterator[str]: """迭代上一阶段输出的 URL""" yield from self._previous_output.urls def get_blacklist_filter(self) -> None: """管道传递的数据已经过滤过了""" return None @property def previous_output(self) -> StageOutput: """返回上一阶段的输出""" return self._previous_output ================================================ FILE: backend/apps/scan/providers/snapshot_provider.py ================================================ """ 快照目标提供者模块 提供基于快照表的目标提供者实现。 用于快速扫描的阶段间数据传递。 """ import logging from typing import Iterator, Optional, Literal from .base import TargetProvider, ProviderContext logger = logging.getLogger(__name__) # 快照类型定义 SnapshotType = Literal["subdomain", "website", "endpoint", "host_port"] class SnapshotTargetProvider(TargetProvider): """ 快照目标提供者 - 从快照表读取本次扫描的数据 用于快速扫描的阶段间数据传递，解决精确扫描控制问题。 核心价值： - 只返回本次扫描（scan_id）发现的资产 - 避免扫描历史数据（DatabaseTargetProvider 会扫描所有历史资产） 特点： - 通过 scan_id 过滤快照表 - 不应用黑名单过滤（数据已在上一阶段过滤） - 支持多种快照类型（subdomain/website/endpoint/host_port） 使用场景： # 快速扫描流程 用户输入: a.test.com 创建 Target: test.com (id=1) 创建 Scan: scan_id=100 # 阶段1: 子域名发现 provider = ListTargetProvider( targets=["a.test.com"], context=ProviderContext(target_id=1, scan_id=100) ) # 发现: b.a.test.com, c.a.test.com # 保存: SubdomainSnapshot(scan_id=100) + Subdomain(target_id=1) # 阶段2: 端口扫描 provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain", context=ProviderContext(target_id=1, scan_id=100) ) # 只返回: b.a.test.com, c.a.test.com（本次扫描发现的） # 不返回: www.test.com, api.test.com（历史数据） # 阶段3: 网站扫描 provider = SnapshotTargetProvider( scan_id=100, snapshot_type="host_port", context=ProviderContext(target_id=1, scan_id=100) ) # 只返回本次扫描发现的 IP:Port """ def __init__( self, scan_id: int, snapshot_type: SnapshotType, context: Optional[ProviderContext] = None ): """ 初始化快照目标提供者 Args: scan_id: 扫描任务 ID（必需） snapshot_type: 快照类型 - "subdomain": 子域名快照（SubdomainSnapshot） - "website": 网站快照（WebsiteSnapshot） - "endpoint": 端点快照（EndpointSnapshot） - "host_port": 主机端口映射快照（HostPortMappingSnapshot） context: Provider 上下文 """ ctx = context or ProviderContext() ctx.scan_id = scan_id super().__init__(ctx) self._scan_id = scan_id self._snapshot_type = snapshot_type def _iter_raw_hosts(self) -> Iterator[str]: """ 从快照表迭代主机列表 根据 snapshot_type 选择不同的快照表： - subdomain: SubdomainSnapshot.name - host_port: HostPortMappingSnapshot.host (返回 host:port 格式，不经过验证) """ if self._snapshot_type == "subdomain": from apps.asset.services.snapshot import SubdomainSnapshotsService service = SubdomainSnapshotsService() yield from service.iter_subdomain_names_by_scan( scan_id=self._scan_id, chunk_size=1000 ) elif self._snapshot_type == "host_port": # host_port 类型不使用 _iter_raw_hosts，直接在 iter_hosts 中处理 # 这里返回空，避免被基类的 iter_hosts 调用 return else: # 其他类型暂不支持 iter_hosts logger.warning( "快照类型 '%s' 不支持 iter_hosts，返回空迭代器", self._snapshot_type ) return def iter_hosts(self) -> Iterator[str]: """ 迭代主机列表 对于 host_port 类型，返回 host:port 格式，不经过 CIDR 展开验证 """ if self._snapshot_type == "host_port": # host_port 类型直接返回 host:port，不经过 _expand_host 验证 from apps.asset.services.snapshot import HostPortMappingSnapshotsService service = HostPortMappingSnapshotsService() queryset = service.get_by_scan(scan_id=self._scan_id) for mapping in queryset.iterator(chunk_size=1000): yield f"{mapping.host}:{mapping.port}" else: # 其他类型使用基类的 iter_hosts（会调用 _iter_raw_hosts 并展开 CIDR） yield from super().iter_hosts() def iter_urls(self) -> Iterator[str]: """ 从快照表迭代 URL 列表 根据 snapshot_type 选择不同的快照表： - website: WebsiteSnapshot.url - endpoint: EndpointSnapshot.url """ if self._snapshot_type == "website": from apps.asset.services.snapshot import WebsiteSnapshotsService service = WebsiteSnapshotsService() yield from service.iter_website_urls_by_scan( scan_id=self._scan_id, chunk_size=1000 ) elif self._snapshot_type == "endpoint": from apps.asset.services.snapshot import EndpointSnapshotsService service = EndpointSnapshotsService() # 从快照表获取端点 URL queryset = service.get_by_scan(scan_id=self._scan_id) for endpoint in queryset.iterator(chunk_size=1000): yield endpoint.url else: # 其他类型暂不支持 iter_urls logger.warning( "快照类型 '%s' 不支持 iter_urls，返回空迭代器", self._snapshot_type ) return def get_blacklist_filter(self) -> None: """快照数据已在上一阶段过滤过了""" return None @property def snapshot_type(self) -> SnapshotType: """返回快照类型""" return self._snapshot_type ================================================ FILE: backend/apps/scan/providers/tests/__init__.py ================================================ """ 扫描目标提供者测试模块 """ ================================================ FILE: backend/apps/scan/providers/tests/test_common_properties.py ================================================ """ 通用属性测试 包含跨多个 Provider 的通用属性测试： - Property 4: Context Propagation - Property 5: Non-Database Provider Blacklist Filter - Property 7: CIDR Expansion Consistency """ import pytest from hypothesis import given, strategies as st, settings from ipaddress import IPv4Network from apps.scan.providers import ( ProviderContext, ListTargetProvider, DatabaseTargetProvider, PipelineTargetProvider, SnapshotTargetProvider ) from apps.scan.providers.pipeline_provider import StageOutput class TestContextPropagation: """ Property 4: Context Propagation *For any* ProviderContext，传入 Provider 构造函数后， Provider 的 target_id 和 scan_id 属性应该与 context 中的值一致。 **Validates: Requirements 1.3, 1.5, 7.4, 7.5** """ @given( target_id=st.integers(min_value=1, max_value=10000), scan_id=st.integers(min_value=1, max_value=10000) ) @settings(max_examples=100) def test_property_4_list_provider_context_propagation(self, target_id, scan_id): """ Property 4: Context Propagation (ListTargetProvider) Feature: scan-target-provider, Property 4: Context Propagation **Validates: Requirements 1.3, 1.5, 7.4, 7.5** """ ctx = ProviderContext(target_id=target_id, scan_id=scan_id) provider = ListTargetProvider(targets=["example.com"], context=ctx) assert provider.target_id == target_id assert provider.scan_id == scan_id assert provider.context.target_id == target_id assert provider.context.scan_id == scan_id @given( target_id=st.integers(min_value=1, max_value=10000), scan_id=st.integers(min_value=1, max_value=10000) ) @settings(max_examples=100) def test_property_4_database_provider_context_propagation(self, target_id, scan_id): """ Property 4: Context Propagation (DatabaseTargetProvider) Feature: scan-target-provider, Property 4: Context Propagation **Validates: Requirements 1.3, 1.5, 7.4, 7.5** """ ctx = ProviderContext(target_id=999, scan_id=scan_id) # DatabaseTargetProvider 会覆盖 context 中的 target_id provider = DatabaseTargetProvider(target_id=target_id, context=ctx) assert provider.target_id == target_id # 使用构造函数参数 assert provider.scan_id == scan_id # 使用 context 中的值 assert provider.context.target_id == target_id assert provider.context.scan_id == scan_id @given( target_id=st.integers(min_value=1, max_value=10000), scan_id=st.integers(min_value=1, max_value=10000) ) @settings(max_examples=100) def test_property_4_pipeline_provider_context_propagation(self, target_id, scan_id): """ Property 4: Context Propagation (PipelineTargetProvider) Feature: scan-target-provider, Property 4: Context Propagation **Validates: Requirements 1.3, 1.5, 7.4, 7.5** """ ctx = ProviderContext(target_id=target_id, scan_id=scan_id) stage_output = StageOutput(hosts=["example.com"]) provider = PipelineTargetProvider(previous_output=stage_output, context=ctx) assert provider.target_id == target_id assert provider.scan_id == scan_id assert provider.context.target_id == target_id assert provider.context.scan_id == scan_id @given( target_id=st.integers(min_value=1, max_value=10000), scan_id=st.integers(min_value=1, max_value=10000) ) @settings(max_examples=100) def test_property_4_snapshot_provider_context_propagation(self, target_id, scan_id): """ Property 4: Context Propagation (SnapshotTargetProvider) Feature: scan-target-provider, Property 4: Context Propagation **Validates: Requirements 1.3, 1.5, 7.4, 7.5** """ ctx = ProviderContext(target_id=target_id, scan_id=999) # SnapshotTargetProvider 会覆盖 context 中的 scan_id provider = SnapshotTargetProvider( scan_id=scan_id, snapshot_type="subdomain", context=ctx ) assert provider.target_id == target_id # 使用 context 中的值 assert provider.scan_id == scan_id # 使用构造函数参数 assert provider.context.target_id == target_id assert provider.context.scan_id == scan_id class TestNonDatabaseProviderBlacklistFilter: """ Property 5: Non-Database Provider Blacklist Filter *For any* ListTargetProvider 或 PipelineTargetProvider 实例， get_blacklist_filter() 方法应该返回 None。 **Validates: Requirements 3.4, 9.4, 9.5** """ @given(targets=st.lists(st.text(min_size=1, max_size=20), max_size=10)) @settings(max_examples=100) def test_property_5_list_provider_no_blacklist(self, targets): """ Property 5: Non-Database Provider Blacklist Filter (ListTargetProvider) Feature: scan-target-provider, Property 5: Non-Database Provider Blacklist Filter **Validates: Requirements 3.4, 9.4, 9.5** """ provider = ListTargetProvider(targets=targets) assert provider.get_blacklist_filter() is None @given(hosts=st.lists(st.text(min_size=1, max_size=20), max_size=10)) @settings(max_examples=100) def test_property_5_pipeline_provider_no_blacklist(self, hosts): """ Property 5: Non-Database Provider Blacklist Filter (PipelineTargetProvider) Feature: scan-target-provider, Property 5: Non-Database Provider Blacklist Filter **Validates: Requirements 3.4, 9.4, 9.5** """ stage_output = StageOutput(hosts=hosts) provider = PipelineTargetProvider(previous_output=stage_output) assert provider.get_blacklist_filter() is None def test_property_5_snapshot_provider_no_blacklist(self): """ Property 5: Non-Database Provider Blacklist Filter (SnapshotTargetProvider) Feature: scan-target-provider, Property 5: Non-Database Provider Blacklist Filter **Validates: Requirements 3.4, 9.4, 9.5** """ provider = SnapshotTargetProvider(scan_id=1, snapshot_type="subdomain") assert provider.get_blacklist_filter() is None class TestCIDRExpansionConsistency: """ Property 7: CIDR Expansion Consistency *For any* CIDR 字符串（如 "192.168.1.0/24"），所有 Provider 的 iter_hosts() 方法应该将其展开为相同的单个 IP 地址列表。 **Validates: Requirements 1.1, 3.6** """ @given( # 生成小的 CIDR 范围以避免测试超时 network_prefix=st.integers(min_value=1, max_value=254), cidr_suffix=st.integers(min_value=28, max_value=30) # /28 = 16 IPs, /30 = 4 IPs ) @settings(max_examples=50, deadline=None) def test_property_7_cidr_expansion_consistency(self, network_prefix, cidr_suffix): """ Property 7: CIDR Expansion Consistency Feature: scan-target-provider, Property 7: CIDR Expansion Consistency **Validates: Requirements 1.1, 3.6** For any CIDR string, all Providers should expand it to the same IP list. """ cidr = f"192.168.{network_prefix}.0/{cidr_suffix}" # 计算预期的 IP 列表 network = IPv4Network(cidr, strict=False) # 排除网络地址和广播地址 expected_ips = [str(ip) for ip in network.hosts()] # 如果 CIDR 太小（/31 或 /32），使用所有地址 if not expected_ips: expected_ips = [str(ip) for ip in network] # ListTargetProvider list_provider = ListTargetProvider(targets=[cidr]) list_result = list(list_provider.iter_hosts()) # PipelineTargetProvider stage_output = StageOutput(hosts=[cidr]) pipeline_provider = PipelineTargetProvider(previous_output=stage_output) pipeline_result = list(pipeline_provider.iter_hosts()) # 验证：所有 Provider 展开的结果应该一致 assert list_result == expected_ips, f"ListProvider CIDR expansion mismatch for {cidr}" assert pipeline_result == expected_ips, f"PipelineProvider CIDR expansion mismatch for {cidr}" assert list_result == pipeline_result, f"Providers produce different results for {cidr}" def test_cidr_expansion_with_multiple_cidrs(self): """测试多个 CIDR 的展开一致性""" cidrs = ["192.168.1.0/30", "10.0.0.0/30"] # 计算预期结果 expected_ips = [] for cidr in cidrs: network = IPv4Network(cidr, strict=False) expected_ips.extend([str(ip) for ip in network.hosts()]) # ListTargetProvider list_provider = ListTargetProvider(targets=cidrs) list_result = list(list_provider.iter_hosts()) # PipelineTargetProvider stage_output = StageOutput(hosts=cidrs) pipeline_provider = PipelineTargetProvider(previous_output=stage_output) pipeline_result = list(pipeline_provider.iter_hosts()) # 验证 assert list_result == expected_ips assert pipeline_result == expected_ips assert list_result == pipeline_result def test_mixed_hosts_and_cidrs(self): """测试混合主机和 CIDR 的处理""" targets = ["example.com", "192.168.1.0/30", "test.com"] # 计算预期结果 network = IPv4Network("192.168.1.0/30", strict=False) cidr_ips = [str(ip) for ip in network.hosts()] expected = ["example.com"] + cidr_ips + ["test.com"] # ListTargetProvider list_provider = ListTargetProvider(targets=targets) list_result = list(list_provider.iter_hosts()) # 验证 assert list_result == expected ================================================ FILE: backend/apps/scan/providers/tests/test_database_provider.py ================================================ """ DatabaseTargetProvider 属性测试 Property 7: DatabaseTargetProvider Blacklist Application *For any* 带有黑名单规则的 target_id，DatabaseTargetProvider 的 iter_hosts() 和 iter_urls() 应该过滤掉匹配黑名单规则的目标。 **Validates: Requirements 2.3, 10.1, 10.2, 10.3** """ import pytest from unittest.mock import patch, MagicMock from hypothesis import given, strategies as st, settings from apps.scan.providers.database_provider import DatabaseTargetProvider from apps.scan.providers.base import ProviderContext # 生成有效域名的策略 def valid_domain_strategy(): """生成有效的域名""" label = st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=2, max_size=10 ) return st.builds( lambda a, b, c: f"{a}.{b}.{c}", label, label, st.sampled_from(['com', 'net', 'org', 'io']) ) class MockBlacklistFilter: """模拟黑名单过滤器""" def __init__(self, blocked_patterns: list): self.blocked_patterns = blocked_patterns def is_allowed(self, target: str) -> bool: """检查目标是否被允许（不在黑名单中）""" for pattern in self.blocked_patterns: if pattern in target: return False return True class TestDatabaseTargetProviderProperties: """DatabaseTargetProvider 属性测试类""" @given( hosts=st.lists(valid_domain_strategy(), min_size=1, max_size=20), blocked_keyword=st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=2, max_size=5 ) ) @settings(max_examples=100) def test_property_7_blacklist_filters_hosts(self, hosts, blocked_keyword): """ Property 7: DatabaseTargetProvider Blacklist Application (hosts) Feature: scan-target-provider, Property 7: DatabaseTargetProvider Blacklist Application **Validates: Requirements 2.3, 10.1, 10.2, 10.3** For any set of hosts and a blacklist keyword, the provider should filter out all hosts containing the blocked keyword. """ # 创建模拟的黑名单过滤器 mock_filter = MockBlacklistFilter([blocked_keyword]) # 创建 provider 并注入模拟的黑名单过滤器 provider = DatabaseTargetProvider(target_id=1) provider._blacklist_filter = mock_filter # 模拟 Target 和 SubdomainService mock_target = MagicMock() mock_target.type = 'domain' mock_target.name = hosts[0] if hosts else 'example.com' with patch('apps.targets.services.TargetService') as mock_target_service, \ patch('apps.asset.services.asset.subdomain_service.SubdomainService') as mock_subdomain_service: mock_target_service.return_value.get_target.return_value = mock_target mock_subdomain_service.return_value.iter_subdomain_names_by_target.return_value = iter(hosts[1:] if len(hosts) > 1 else []) # 获取结果 result = list(provider.iter_hosts()) # 验证：所有结果都不包含被阻止的关键词 for host in result: assert blocked_keyword not in host, f"Host '{host}' should be filtered by blacklist keyword '{blocked_keyword}'" # 验证：所有不包含关键词的主机都应该在结果中 if hosts: all_hosts = [hosts[0]] + [h for h in hosts[1:] if h != hosts[0]] expected_allowed = [h for h in all_hosts if blocked_keyword not in h] else: expected_allowed = [] assert set(result) == set(expected_allowed) class TestDatabaseTargetProviderUnit: """DatabaseTargetProvider 单元测试类""" def test_target_id_in_context(self): """测试 target_id 正确设置到上下文中""" provider = DatabaseTargetProvider(target_id=123) assert provider.target_id == 123 assert provider.context.target_id == 123 def test_context_propagation(self): """测试上下文传递""" ctx = ProviderContext(scan_id=789) provider = DatabaseTargetProvider(target_id=123, context=ctx) assert provider.target_id == 123 # target_id 被覆盖 assert provider.scan_id == 789 def test_blacklist_filter_lazy_loading(self): """测试黑名单过滤器延迟加载""" provider = DatabaseTargetProvider(target_id=123) # 初始时 _blacklist_filter 为 None assert provider._blacklist_filter is None # 模拟 BlacklistService with patch('apps.common.services.BlacklistService') as mock_service, \ patch('apps.common.utils.BlacklistFilter') as mock_filter_class: mock_service.return_value.get_rules.return_value = [] mock_filter_instance = MagicMock() mock_filter_class.return_value = mock_filter_instance # 第一次调用 result1 = provider.get_blacklist_filter() assert result1 == mock_filter_instance # 第二次调用应该返回缓存的实例 result2 = provider.get_blacklist_filter() assert result2 == mock_filter_instance # BlacklistService 只应该被调用一次 mock_service.return_value.get_rules.assert_called_once_with(123) def test_nonexistent_target_returns_empty(self): """测试不存在的 target 返回空迭代器""" provider = DatabaseTargetProvider(target_id=99999) with patch('apps.targets.services.TargetService') as mock_service, \ patch('apps.common.services.BlacklistService') as mock_blacklist_service: mock_service.return_value.get_target.return_value = None mock_blacklist_service.return_value.get_rules.return_value = [] result = list(provider.iter_hosts()) assert result == [] ================================================ FILE: backend/apps/scan/providers/tests/test_list_provider.py ================================================ """ ListTargetProvider 属性测试 Property 1: ListTargetProvider Round-Trip *For any* 主机列表和 URL 列表，创建 ListTargetProvider 后迭代 iter_hosts() 和 iter_urls() 应该返回与输入相同的元素（顺序相同）。 **Validates: Requirements 3.1, 3.2** """ import pytest from hypothesis import given, strategies as st, settings, assume from apps.scan.providers.list_provider import ListTargetProvider from apps.scan.providers.base import ProviderContext # 生成有效域名的策略 def valid_domain_strategy(): """生成有效的域名""" # 生成简单的域名格式: subdomain.domain.tld label = st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=2, max_size=10 ) return st.builds( lambda a, b, c: f"{a}.{b}.{c}", label, label, st.sampled_from(['com', 'net', 'org', 'io']) ) # 生成有效 IP 地址的策略 def valid_ip_strategy(): """生成有效的 IPv4 地址""" octet = st.integers(min_value=1, max_value=254) return st.builds( lambda a, b, c, d: f"{a}.{b}.{c}.{d}", octet, octet, octet, octet ) # 组合策略：域名或 IP host_strategy = st.one_of(valid_domain_strategy(), valid_ip_strategy()) # 生成有效 URL 的策略 def valid_url_strategy(): """生成有效的 URL""" domain = valid_domain_strategy() return st.builds( lambda d, path: f"https://{d}/{path}" if path else f"https://{d}", domain, st.one_of( st.just(""), st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=1, max_size=10 ) ) ) url_strategy = valid_url_strategy() class TestListTargetProviderProperties: """ListTargetProvider 属性测试类""" @given(hosts=st.lists(host_strategy, max_size=50)) @settings(max_examples=100) def test_property_1_hosts_round_trip(self, hosts): """ Property 1: ListTargetProvider Round-Trip (hosts) Feature: scan-target-provider, Property 1: ListTargetProvider Round-Trip **Validates: Requirements 3.1, 3.2** For any host list, creating a ListTargetProvider and iterating iter_hosts() should return the same elements in the same order. """ # ListTargetProvider 使用 targets 参数，自动分类为 hosts/urls provider = ListTargetProvider(targets=hosts) result = list(provider.iter_hosts()) assert result == hosts @given(urls=st.lists(url_strategy, max_size=50)) @settings(max_examples=100) def test_property_1_urls_round_trip(self, urls): """ Property 1: ListTargetProvider Round-Trip (urls) Feature: scan-target-provider, Property 1: ListTargetProvider Round-Trip **Validates: Requirements 3.1, 3.2** For any URL list, creating a ListTargetProvider and iterating iter_urls() should return the same elements in the same order. """ # ListTargetProvider 使用 targets 参数，自动分类为 hosts/urls provider = ListTargetProvider(targets=urls) result = list(provider.iter_urls()) assert result == urls @given( hosts=st.lists(host_strategy, max_size=30), urls=st.lists(url_strategy, max_size=30) ) @settings(max_examples=100) def test_property_1_combined_round_trip(self, hosts, urls): """ Property 1: ListTargetProvider Round-Trip (combined) Feature: scan-target-provider, Property 1: ListTargetProvider Round-Trip **Validates: Requirements 3.1, 3.2** For any combination of hosts and URLs, both should round-trip correctly. """ # 合并 hosts 和 urls，ListTargetProvider 会自动分类 combined = hosts + urls provider = ListTargetProvider(targets=combined) hosts_result = list(provider.iter_hosts()) urls_result = list(provider.iter_urls()) assert hosts_result == hosts assert urls_result == urls class TestListTargetProviderUnit: """ListTargetProvider 单元测试类""" def test_empty_lists(self): """测试空列表返回空迭代器 - Requirements 3.5""" provider = ListTargetProvider() assert list(provider.iter_hosts()) == [] assert list(provider.iter_urls()) == [] def test_blacklist_filter_returns_none(self): """测试黑名单过滤器返回 None - Requirements 3.4""" provider = ListTargetProvider(targets=["example.com"]) assert provider.get_blacklist_filter() is None def test_target_id_association(self): """测试 target_id 关联 - Requirements 3.3""" ctx = ProviderContext(target_id=123) provider = ListTargetProvider(targets=["example.com"], context=ctx) assert provider.target_id == 123 def test_context_propagation(self): """测试上下文传递""" ctx = ProviderContext(target_id=456, scan_id=789) provider = ListTargetProvider(targets=["example.com"], context=ctx) assert provider.target_id == 456 assert provider.scan_id == 789 ================================================ FILE: backend/apps/scan/providers/tests/test_pipeline_provider.py ================================================ """ PipelineTargetProvider 属性测试 Property 3: PipelineTargetProvider Round-Trip *For any* StageOutput 对象，PipelineTargetProvider 的 iter_hosts() 和 iter_urls() 应该返回与 StageOutput 中 hosts 和 urls 列表相同的元素。 **Validates: Requirements 5.1, 5.2** """ import pytest from hypothesis import given, strategies as st, settings from apps.scan.providers.pipeline_provider import PipelineTargetProvider, StageOutput from apps.scan.providers.base import ProviderContext # 生成有效域名的策略 def valid_domain_strategy(): """生成有效的域名""" label = st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=2, max_size=10 ) return st.builds( lambda a, b, c: f"{a}.{b}.{c}", label, label, st.sampled_from(['com', 'net', 'org', 'io']) ) # 生成有效 IP 地址的策略 def valid_ip_strategy(): """生成有效的 IPv4 地址""" octet = st.integers(min_value=1, max_value=254) return st.builds( lambda a, b, c, d: f"{a}.{b}.{c}.{d}", octet, octet, octet, octet ) # 组合策略：域名或 IP host_strategy = st.one_of(valid_domain_strategy(), valid_ip_strategy()) # 生成有效 URL 的策略 def valid_url_strategy(): """生成有效的 URL""" domain = valid_domain_strategy() return st.builds( lambda d, path: f"https://{d}/{path}" if path else f"https://{d}", domain, st.one_of( st.just(""), st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=1, max_size=10 ) ) ) url_strategy = valid_url_strategy() class TestPipelineTargetProviderProperties: """PipelineTargetProvider 属性测试类""" @given(hosts=st.lists(host_strategy, max_size=50)) @settings(max_examples=100) def test_property_3_hosts_round_trip(self, hosts): """ Property 3: PipelineTargetProvider Round-Trip (hosts) Feature: scan-target-provider, Property 3: PipelineTargetProvider Round-Trip **Validates: Requirements 5.1, 5.2** For any StageOutput with hosts, PipelineTargetProvider should return the same hosts in the same order. """ stage_output = StageOutput(hosts=hosts) provider = PipelineTargetProvider(previous_output=stage_output) result = list(provider.iter_hosts()) assert result == hosts @given(urls=st.lists(url_strategy, max_size=50)) @settings(max_examples=100) def test_property_3_urls_round_trip(self, urls): """ Property 3: PipelineTargetProvider Round-Trip (urls) Feature: scan-target-provider, Property 3: PipelineTargetProvider Round-Trip **Validates: Requirements 5.1, 5.2** For any StageOutput with urls, PipelineTargetProvider should return the same urls in the same order. """ stage_output = StageOutput(urls=urls) provider = PipelineTargetProvider(previous_output=stage_output) result = list(provider.iter_urls()) assert result == urls @given( hosts=st.lists(host_strategy, max_size=30), urls=st.lists(url_strategy, max_size=30) ) @settings(max_examples=100) def test_property_3_combined_round_trip(self, hosts, urls): """ Property 3: PipelineTargetProvider Round-Trip (combined) Feature: scan-target-provider, Property 3: PipelineTargetProvider Round-Trip **Validates: Requirements 5.1, 5.2** For any StageOutput with both hosts and urls, both should round-trip correctly. """ stage_output = StageOutput(hosts=hosts, urls=urls) provider = PipelineTargetProvider(previous_output=stage_output) hosts_result = list(provider.iter_hosts()) urls_result = list(provider.iter_urls()) assert hosts_result == hosts assert urls_result == urls class TestPipelineTargetProviderUnit: """PipelineTargetProvider 单元测试类""" def test_empty_stage_output(self): """测试空 StageOutput 返回空迭代器 - Requirements 5.5""" stage_output = StageOutput() provider = PipelineTargetProvider(previous_output=stage_output) assert list(provider.iter_hosts()) == [] assert list(provider.iter_urls()) == [] def test_blacklist_filter_returns_none(self): """测试黑名单过滤器返回 None - Requirements 5.3""" stage_output = StageOutput(hosts=["example.com"]) provider = PipelineTargetProvider(previous_output=stage_output) assert provider.get_blacklist_filter() is None def test_target_id_association(self): """测试 target_id 关联 - Requirements 5.4""" stage_output = StageOutput(hosts=["example.com"]) provider = PipelineTargetProvider(previous_output=stage_output, target_id=123) assert provider.target_id == 123 def test_context_propagation(self): """测试上下文传递""" ctx = ProviderContext(target_id=456, scan_id=789) stage_output = StageOutput(hosts=["example.com"]) provider = PipelineTargetProvider(previous_output=stage_output, context=ctx) assert provider.target_id == 456 assert provider.scan_id == 789 def test_previous_output_property(self): """测试 previous_output 属性""" stage_output = StageOutput(hosts=["example.com"], urls=["https://example.com"]) provider = PipelineTargetProvider(previous_output=stage_output) assert provider.previous_output is stage_output assert provider.previous_output.hosts == ["example.com"] assert provider.previous_output.urls == ["https://example.com"] def test_stage_output_with_metadata(self): """测试带元数据的 StageOutput""" stage_output = StageOutput( hosts=["example.com"], urls=["https://example.com"], new_targets=["new.example.com"], stats={"count": 1}, success=True, error=None ) provider = PipelineTargetProvider(previous_output=stage_output) assert list(provider.iter_hosts()) == ["example.com"] assert list(provider.iter_urls()) == ["https://example.com"] assert provider.previous_output.new_targets == ["new.example.com"] assert provider.previous_output.stats == {"count": 1} ================================================ FILE: backend/apps/scan/providers/tests/test_snapshot_provider.py ================================================ """ SnapshotTargetProvider 单元测试 """ import pytest from unittest.mock import Mock, patch from apps.scan.providers import SnapshotTargetProvider, ProviderContext class TestSnapshotTargetProvider: """SnapshotTargetProvider 测试类""" def test_init_with_scan_id_and_type(self): """测试初始化""" provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain" ) assert provider.scan_id == 100 assert provider.snapshot_type == "subdomain" assert provider.target_id is None # 默认 context def test_init_with_context(self): """测试带 context 初始化""" ctx = ProviderContext(target_id=1, scan_id=100) provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain", context=ctx ) assert provider.scan_id == 100 assert provider.target_id == 1 assert provider.snapshot_type == "subdomain" @patch('apps.asset.services.snapshot.SubdomainSnapshotsService') def test_iter_hosts_subdomain(self, mock_service_class): """测试从子域名快照迭代主机""" # Mock service mock_service = Mock() mock_service.iter_subdomain_names_by_scan.return_value = iter([ "a.example.com", "b.example.com" ]) mock_service_class.return_value = mock_service # 创建 provider provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain" ) # 迭代主机 hosts = list(provider.iter_hosts()) assert hosts == ["a.example.com", "b.example.com"] mock_service.iter_subdomain_names_by_scan.assert_called_once_with( scan_id=100, chunk_size=1000 ) @patch('apps.asset.services.snapshot.HostPortMappingSnapshotsService') def test_iter_hosts_host_port(self, mock_service_class): """测试从主机端口映射快照迭代主机""" # Mock queryset mock_mapping1 = Mock() mock_mapping1.host = "example.com" mock_mapping1.port = 80 mock_mapping2 = Mock() mock_mapping2.host = "example.com" mock_mapping2.port = 443 mock_queryset = Mock() mock_queryset.iterator.return_value = iter([mock_mapping1, mock_mapping2]) # Mock service mock_service = Mock() mock_service.get_by_scan.return_value = mock_queryset mock_service_class.return_value = mock_service # 创建 provider provider = SnapshotTargetProvider( scan_id=100, snapshot_type="host_port" ) # 迭代主机 hosts = list(provider.iter_hosts()) assert hosts == ["example.com:80", "example.com:443"] mock_service.get_by_scan.assert_called_once_with(scan_id=100) @patch('apps.asset.services.snapshot.WebsiteSnapshotsService') def test_iter_urls_website(self, mock_service_class): """测试从网站快照迭代 URL""" # Mock service mock_service = Mock() mock_service.iter_website_urls_by_scan.return_value = iter([ "http://example.com", "https://example.com" ]) mock_service_class.return_value = mock_service # 创建 provider provider = SnapshotTargetProvider( scan_id=100, snapshot_type="website" ) # 迭代 URL urls = list(provider.iter_urls()) assert urls == ["http://example.com", "https://example.com"] mock_service.iter_website_urls_by_scan.assert_called_once_with( scan_id=100, chunk_size=1000 ) @patch('apps.asset.services.snapshot.EndpointSnapshotsService') def test_iter_urls_endpoint(self, mock_service_class): """测试从端点快照迭代 URL""" # Mock queryset mock_endpoint1 = Mock() mock_endpoint1.url = "http://example.com/api/v1" mock_endpoint2 = Mock() mock_endpoint2.url = "http://example.com/api/v2" mock_queryset = Mock() mock_queryset.iterator.return_value = iter([mock_endpoint1, mock_endpoint2]) # Mock service mock_service = Mock() mock_service.get_by_scan.return_value = mock_queryset mock_service_class.return_value = mock_service # 创建 provider provider = SnapshotTargetProvider( scan_id=100, snapshot_type="endpoint" ) # 迭代 URL urls = list(provider.iter_urls()) assert urls == ["http://example.com/api/v1", "http://example.com/api/v2"] mock_service.get_by_scan.assert_called_once_with(scan_id=100) def test_iter_hosts_unsupported_type(self): """测试不支持的快照类型（iter_hosts）""" provider = SnapshotTargetProvider( scan_id=100, snapshot_type="website" # website 不支持 iter_hosts ) hosts = list(provider.iter_hosts()) assert hosts == [] def test_iter_urls_unsupported_type(self): """测试不支持的快照类型（iter_urls）""" provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain" # subdomain 不支持 iter_urls ) urls = list(provider.iter_urls()) assert urls == [] def test_get_blacklist_filter(self): """测试黑名单过滤器（快照模式不使用黑名单）""" provider = SnapshotTargetProvider( scan_id=100, snapshot_type="subdomain" ) assert provider.get_blacklist_filter() is None def test_context_propagation(self): """测试上下文传递""" ctx = ProviderContext(target_id=456, scan_id=789) provider = SnapshotTargetProvider( scan_id=100, # 会被 context 覆盖 snapshot_type="subdomain", context=ctx ) assert provider.target_id == 456 assert provider.scan_id == 100 # scan_id 在 __init__ 中被设置 ================================================ FILE: backend/apps/scan/repositories/__init__.py ================================================ """ Scan Repositories 模块 提供 Scan 模型的数据访问层实现 其他模型的 Repository 应从各自的 app 导入 """ # Django ORM 实现 from .django_scan_repository import DjangoScanRepository from .scheduled_scan_repository import DjangoScheduledScanRepository, ScheduledScanDTO # 为了向后兼容，保留 ScanRepository 别名 ScanRepository = DjangoScanRepository __all__ = [ # 实现类 'DjangoScanRepository', 'DjangoScheduledScanRepository', 'ScheduledScanDTO', # 向后兼容别名 'ScanRepository', ] ================================================ FILE: backend/apps/scan/repositories/django_scan_repository.py ================================================ """ Scan 数据访问层 Django ORM 实现 基于 Django ORM 的 Scan Repository 实现类 """ from __future__ import annotations import logging from typing import List, Tuple, Dict from datetime import datetime from django.db import transaction, DatabaseError from django.db.models import QuerySet, F, Value, Func, Count from django.utils import timezone from apps.scan.models import Scan from apps.targets.models import Target from apps.common.definitions import ScanStatus from apps.common.decorators import auto_ensure_db_connection logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoScanRepository: """基于 Django ORM 的 Scan 数据访问层实现""" # ==================== 基础 CRUD 操作 ==================== def get_by_id(self, scan_id: int, prefetch_relations: bool = False, for_update: bool = False ) -> Scan | None: """ 根据 ID 获取扫描任务 Args: scan_id: 扫描任务 ID prefetch_relations: 是否预加载关联对象（target, worker） 默认 False，只在需要展示关联信息时设为 True for_update: 是否加锁（用于更新场景） Returns: Scan 对象或 None """ try: # 根据是否需要更新来决定是否加锁 if for_update: queryset = Scan.objects.select_for_update() # type: ignore # pylint: disable=no-member else: queryset = Scan.objects # type: ignore # pylint: disable=no-member # 预加载关联对象（性能优化：默认不加载） if prefetch_relations: queryset = queryset.select_related('target', 'worker') return queryset.get(id=scan_id) except Scan.DoesNotExist: # type: ignore # pylint: disable=no-member logger.warning("Scan 不存在 - Scan ID: %s", scan_id) return None def get_by_id_for_update(self, scan_id: int) -> Scan | None: """ 根据 ID 获取扫描任务（加锁） 用于需要更新的场景，避免并发冲突。 不预加载关联对象，保持查询最小化，提高加锁性能。 Args: scan_id: 扫描任务 ID Returns: Scan 对象或 None Note: - 使用默认的阻塞模式（等待锁释放） - 不包含关联对象（target, worker），如需关联对象请使用 get_by_id() """ try: return Scan.objects.select_for_update().get(id=scan_id) # type: ignore # pylint: disable=no-member except Scan.DoesNotExist: # type: ignore # pylint: disable=no-member logger.warning("Scan 不存在 - Scan ID: %s", scan_id) return None def exists(self, scan_id: int) -> bool: """ 检查扫描任务是否存在 Args: scan_id: 扫描任务 ID Returns: 是否存在 """ return Scan.objects.filter(id=scan_id).exists() def create(self, target: Target, engine_ids: List[int], engine_names: List[str], yaml_configuration: str, results_dir: str, status: ScanStatus = ScanStatus.INITIATED ) -> Scan: """ 创建扫描任务 Args: target: 扫描目标 engine_ids: 引擎 ID 列表 engine_names: 引擎名称列表 yaml_configuration: YAML 格式的扫描配置 results_dir: 结果目录 status: 初始状态 Returns: 创建的 Scan 对象 """ scan = Scan( target=target, engine_ids=engine_ids, engine_names=engine_names, yaml_configuration=yaml_configuration, results_dir=results_dir, status=status, container_ids=[] ) scan.save() logger.debug("创建 Scan - ID: %s, Target: %s", scan.id, target.name) return scan def bulk_create(self, scans: List[Scan]) -> List[Scan]: """ 批量创建扫描任务 Args: scans: Scan 对象列表 Returns: 创建的 Scan 对象列表 """ created_scans = Scan.objects.bulk_create(scans) # type: ignore # pylint: disable=no-member logger.debug("批量创建 Scan - 数量: %d", len(created_scans)) return created_scans def soft_delete_by_ids(self, scan_ids: List[int]) -> int: """ 根据 ID 列表批量软删除 Scan Args: scan_ids: Scan ID 列表 Returns: 软删除的记录数 """ try: updated_count = ( Scan.objects .filter(id__in=scan_ids) .update(deleted_at=timezone.now()) ) logger.debug( "批量软删除 Scan 成功 - Count: %s, 更新记录: %s", len(scan_ids), updated_count ) return updated_count except Exception as e: logger.error( "批量软删除 Scan 失败 - IDs: %s, 错误: %s", scan_ids, e ) raise def hard_delete_by_ids(self, scan_ids: List[int]) -> Tuple[int, Dict[str, int]]: """ 根据 ID 列表硬删除 Scan（使用数据库级 CASCADE） Args: scan_ids: Scan ID 列表 Returns: (删除的记录数, 删除详情字典) """ try: batch_size = 1000 total_deleted = 0 logger.debug(f"开始批量删除 {len(scan_ids)} 个 Scan（数据库 CASCADE）...") for i in range(0, len(scan_ids), batch_size): batch_ids = scan_ids[i:i + batch_size] count, _ = Scan.all_objects.filter(id__in=batch_ids).delete() total_deleted += count logger.debug(f"批次删除完成: {len(batch_ids)} 个 Scan，删除 {count} 条记录") deleted_details = { 'scans': len(scan_ids), 'total': total_deleted, 'note': 'Database CASCADE - detailed stats unavailable' } logger.debug( "批量硬删除成功（CASCADE）- Scan数: %s, 总删除记录: %s", len(scan_ids), total_deleted ) return total_deleted, deleted_details except Exception as e: logger.error( "批量硬删除失败（CASCADE）- Scan数: %s, 错误: %s", len(scan_ids), str(e), exc_info=True ) raise # ==================== 查询操作 ==================== def get_all(self, prefetch_relations: bool = True) -> QuerySet[Scan]: """ 获取所有扫描任务 Args: prefetch_relations: 是否预加载关联对象（target, worker） Returns: Scan QuerySet """ queryset = Scan.objects.all() # type: ignore # pylint: disable=no-member if prefetch_relations: queryset = queryset.select_related('target', 'worker') return queryset.order_by('-created_at') def get_statistics(self) -> dict: """ 获取扫描任务统计数据 Returns: 统计数据字典 Note: 使用缓存字段聚合，性能优异 """ from django.db.models import Sum # 基础统计 total_scans = Scan.objects.count() # type: ignore # pylint: disable=no-member # 按状态统计 running_scans = Scan.objects.filter(status='running').count() # type: ignore # pylint: disable=no-member completed_scans = Scan.objects.filter(status='completed').count() # type: ignore # pylint: disable=no-member failed_scans = Scan.objects.filter(status='failed').count() # type: ignore # pylint: disable=no-member # 使用缓存字段聚合统计（只统计已完成的扫描） aggregated = Scan.objects.filter(status='completed').aggregate( # type: ignore # pylint: disable=no-member total_vulns=Sum('cached_vulns_total'), total_subdomains=Sum('cached_subdomains_count'), total_endpoints=Sum('cached_endpoints_count'), total_websites=Sum('cached_websites_count'), total_ips=Sum('cached_ips_count'), ) total_vulns = aggregated['total_vulns'] or 0 total_subdomains = aggregated['total_subdomains'] or 0 total_endpoints = aggregated['total_endpoints'] or 0 total_websites = aggregated['total_websites'] or 0 total_ips = aggregated['total_ips'] or 0 return { 'total': total_scans, 'running': running_scans, 'completed': completed_scans, 'failed': failed_scans, 'total_vulns': total_vulns, 'total_subdomains': total_subdomains, 'total_endpoints': total_endpoints, 'total_websites': total_websites, 'total_ips': total_ips, 'total_assets': total_subdomains + total_endpoints + total_websites + total_ips, } # ==================== 状态更新操作 ==================== @transaction.atomic def update_status(self, scan_id: int, status: ScanStatus, error_message: str | None = None, stopped_at: datetime | None = None ) -> bool: """ 更新扫描任务状态 Args: scan_id: 扫描任务 ID status: 新状态 error_message: 错误消息（可选） stopped_at: 结束时间（可选，由调用方决定是否传递） Returns: 是否更新成功 Note: Repository 层不判断业务状态,只负责数据更新 created_at 是自动设置的，不需要手动传递 """ scan = self.get_by_id_for_update(scan_id) if not scan: return False scan.status = status if error_message: if len(error_message) > 2000: scan.error_message = error_message[:1980] + "... (已截断)" logger.warning( "错误信息过长（%d 字符），已截断 - Scan ID: %s", len(error_message), scan_id ) else: scan.error_message = error_message # 根据传递的参数更新时间戳（由调用方决定） if stopped_at is not None: scan.stopped_at = stopped_at scan.save() logger.debug( "更新 Scan 状态 - ID: %s, 状态: %s", scan_id, ScanStatus(status).label ) return True def append_container_id(self, scan_id: int, container_id: str) -> bool: """ 追加容器 ID 到 container_ids 数组（并发安全） 使用 PostgreSQL 的 array_append 函数在数据库层面进行原子操作， 避免并发场景下的 Race Condition。 Args: scan_id: 扫描任务 ID container_id: Docker 容器 ID Returns: 是否追加成功 Note: - 使用 F 表达式和 ArrayAppend 确保并发安全 - 生成的 SQL: UPDATE scan SET container_ids = array_append(container_ids, ?) """ try: container_field = Scan._meta.get_field('container_ids') updated_count = Scan.objects.filter(id=scan_id).update( # type: ignore container_ids=Func( F('container_ids'), Value(container_id), function='ARRAY_APPEND', output_field=container_field ) ) if updated_count > 0: logger.debug("追加容器 ID - Scan ID: %s, Container ID: %s", scan_id, container_id) return True else: logger.warning("Scan 不存在，无法追加容器 ID - Scan ID: %s", scan_id) return False except DatabaseError as e: logger.error("追加容器 ID 失败 - Scan ID: %s, 错误: %s", scan_id, e) return False def update_worker(self, scan_id: int, worker_id: int) -> bool: """ 更新扫描任务的 Worker ID Args: scan_id: 扫描任务 ID worker_id: Worker 节点 ID Returns: 是否更新成功 """ try: updated_count = Scan.objects.filter(id=scan_id).update(worker_id=worker_id) # type: ignore if updated_count > 0: logger.debug("更新 Worker ID - Scan ID: %s, Worker ID: %s", scan_id, worker_id) return True else: logger.warning("Scan 不存在，无法更新 Worker ID - Scan ID: %s", scan_id) return False except DatabaseError as e: logger.error("更新 Worker ID 失败 - Scan ID: %s, 错误: %s", scan_id, e) return False def update_cached_stats(self, scan_id: int) -> dict | None: """ 更新扫描任务的缓存统计数据 使用 Django ORM 聚合查询，避免原生 SQL，保持数据库抽象 Args: scan_id: 扫描任务 ID Returns: 成功返回统计数据字典，失败返回 None """ try: from apps.asset.models import VulnerabilitySnapshot scan = self.get_by_id(scan_id, prefetch_relations=False) if not scan: logger.error("Scan 不存在，无法更新缓存统计数据 - Scan ID: %s", scan_id) return None # 统计快照数据（用于扫描历史） # IP 数量需要按 IP 去重统计 ips_count = scan.host_port_mapping_snapshots.values('ip').distinct().count() # 漏洞统计：按扫描维度基于 VulnerabilitySnapshot 聚合 vuln_qs = VulnerabilitySnapshot.objects.filter(scan_id=scan_id) total_vulns = vuln_qs.count() severity_stats = { 'critical': 0, 'high': 0, 'medium': 0, 'low': 0, } for row in vuln_qs.values('severity').annotate(count=Count('id')): sev = (row.get('severity') or '').lower() count = row.get('count') or 0 if sev in severity_stats: severity_stats[sev] = count stats = { 'subdomains': scan.subdomain_snapshots.count(), 'websites': scan.website_snapshots.count(), 'endpoints': scan.endpoint_snapshots.count(), 'ips': ips_count, 'directories': scan.directory_snapshots.count(), 'screenshots': scan.screenshot_snapshots.count(), 'vulns_total': total_vulns, 'vulns_critical': severity_stats['critical'], 'vulns_high': severity_stats['high'], 'vulns_medium': severity_stats['medium'], 'vulns_low': severity_stats['low'], } # 批量更新字段（使用 cached_ 前缀的字段名） cached_stats = { 'cached_subdomains_count': stats['subdomains'], 'cached_websites_count': stats['websites'], 'cached_endpoints_count': stats['endpoints'], 'cached_ips_count': stats['ips'], 'cached_directories_count': stats['directories'], 'cached_screenshots_count': stats['screenshots'], 'cached_vulns_total': stats['vulns_total'], 'cached_vulns_critical': stats['vulns_critical'], 'cached_vulns_high': stats['vulns_high'], 'cached_vulns_medium': stats['vulns_medium'], 'cached_vulns_low': stats['vulns_low'], 'stats_updated_at': timezone.now() } for field, value in cached_stats.items(): setattr(scan, field, value) scan.save(update_fields=list(cached_stats.keys())) logger.debug("更新缓存统计数据成功 - Scan ID: %s", scan_id) return stats except DatabaseError as e: logger.exception("数据库错误：更新缓存统计数据失败 - Scan ID: %s", scan_id) return None except Exception as e: logger.error("更新缓存统计数据失败 - Scan ID: %s, 错误: %s", scan_id, e) return None def update_status_if_match(self, scan_id: int, current_status: ScanStatus, new_status: ScanStatus, stopped_at: datetime | None = None ) -> bool: """ 条件更新扫描状态（原子操作） 仅当扫描状态匹配 current_status 时才更新为 new_status。 这是一个原子操作，用于处理并发场景下的状态更新。 Args: scan_id: 扫描ID current_status: 当前期望的状态 new_status: 要更新到的新状态 stopped_at: 停止时间（可选） Returns: bool: 是否更新成功（True=更新了记录，False=未更新） """ try: update_fields = { 'status': new_status, } if stopped_at: update_fields['stopped_at'] = stopped_at # 原子操作：只有状态匹配时才更新 updated = Scan.objects.filter( id=scan_id, status=current_status ).update(**update_fields) if updated > 0: logger.debug( "条件更新扫描状态成功 - Scan ID: %s, %s → %s", scan_id, current_status.value, new_status.value ) return True else: logger.debug( "条件更新扫描状态跳过（状态不匹配） - Scan ID: %s, 期望: %s, 目标: %s", scan_id, current_status.value, new_status.value ) return False except Exception as e: logger.error( "条件更新扫描状态失败 - Scan ID: %s, %s → %s, 错误: %s", scan_id, current_status.value, new_status.value, e ) return False def update_progress( self, scan_id: int, progress: int | None = None, current_stage: str | None = None, stage_progress: dict | None = None ) -> bool: """ 更新扫描进度信息 Args: scan_id: 扫描任务 ID progress: 进度百分比 0-100（可选） current_stage: 当前阶段（可选） stage_progress: 各阶段详情（可选） Returns: 是否更新成功 """ try: update_fields = {} if progress is not None: update_fields['progress'] = progress if current_stage is not None: update_fields['current_stage'] = current_stage if stage_progress is not None: update_fields['stage_progress'] = stage_progress if not update_fields: return True # 无需更新 updated = Scan.objects.filter(id=scan_id).update(**update_fields) if updated > 0: logger.debug( "更新扫描进度 - Scan ID: %s, progress: %s, stage: %s", scan_id, progress, current_stage ) return True else: logger.warning("Scan 不存在，无法更新进度 - Scan ID: %s", scan_id) return False except Exception as e: logger.error( "更新扫描进度失败 - Scan ID: %s, 错误: %s", scan_id, e ) return False # 导出接口 __all__ = ['DjangoScanRepository'] ================================================ FILE: backend/apps/scan/repositories/scheduled_scan_repository.py ================================================ """ 定时扫描任务 Repository 数据访问层：负责 ScheduledScan 模型的 CRUD 操作 """ import logging from typing import List, Optional, Tuple, Dict from dataclasses import dataclass from datetime import datetime from django.db import transaction from django.utils import timezone from apps.common.decorators import auto_ensure_db_connection from apps.scan.models import ScheduledScan logger = logging.getLogger(__name__) @dataclass class ScheduledScanDTO: """定时扫描 DTO 扫描模式（二选一）： - 组织扫描：设置 organization_id，执行时动态获取组织下所有目标 - 目标扫描：设置 target_id，扫描单个目标 - organization_id 优先级高于 target_id """ id: Optional[int] = None name: str = '' engine_ids: List[int] = None # 多引擎支持 engine_names: List[str] = None # 引擎名称列表 yaml_configuration: str = '' # YAML 格式的扫描配置 organization_id: Optional[int] = None # 组织扫描模式 target_id: Optional[int] = None # 目标扫描模式 cron_expression: Optional[str] = None is_enabled: bool = True run_count: int = 0 last_run_time: Optional[datetime] = None next_run_time: Optional[datetime] = None created_at: Optional[datetime] = None updated_at: Optional[datetime] = None def __post_init__(self): if self.engine_ids is None: self.engine_ids = [] if self.engine_names is None: self.engine_names = [] @auto_ensure_db_connection class DjangoScheduledScanRepository: """ 定时扫描任务 Repository 职责： - CRUD 操作 - 查询封装 - 不包含业务逻辑 """ def get_by_id(self, scheduled_scan_id: int) -> Optional[ScheduledScan]: """根据 ID 查询定时扫描任务""" try: return ScheduledScan.objects.select_related('organization', 'target').get(id=scheduled_scan_id) except ScheduledScan.DoesNotExist: return None def get_queryset(self): """ 获取所有定时扫描任务的查询集 Returns: QuerySet """ return ScheduledScan.objects.select_related('organization', 'target').order_by('-created_at') def get_all(self, page: int = 1, page_size: int = 10) -> Tuple[List[ScheduledScan], int]: """ 分页查询所有定时扫描任务 Returns: (定时扫描列表, 总数) """ queryset = self.get_queryset() total = queryset.count() offset = (page - 1) * page_size scheduled_scans = list(queryset[offset:offset + page_size]) return scheduled_scans, total def get_enabled(self) -> List[ScheduledScan]: """获取所有启用的定时扫描任务""" return list( ScheduledScan.objects.select_related('target') .filter(is_enabled=True) .order_by('-created_at') ) def create(self, dto: ScheduledScanDTO) -> ScheduledScan: """ 创建定时扫描任务 Args: dto: 定时扫描 DTO Returns: 创建的 ScheduledScan 对象 """ with transaction.atomic(): scheduled_scan = ScheduledScan.objects.create( name=dto.name, engine_ids=dto.engine_ids, engine_names=dto.engine_names, yaml_configuration=dto.yaml_configuration, organization_id=dto.organization_id, # 组织扫描模式 target_id=dto.target_id if not dto.organization_id else None, # 目标扫描模式 cron_expression=dto.cron_expression, is_enabled=dto.is_enabled, ) scan_mode = "organization" if dto.organization_id else "target" logger.info("创建定时扫描任务 - ID: %s, Name: %s, Mode: %s", scheduled_scan.id, scheduled_scan.name, scan_mode) return scheduled_scan def update(self, scheduled_scan_id: int, dto: ScheduledScanDTO) -> Optional[ScheduledScan]: """ 更新定时扫描任务 Args: scheduled_scan_id: 定时扫描 ID dto: 更新的数据 Returns: 更新后的 ScheduledScan 对象，不存在返回 None """ try: with transaction.atomic(): scheduled_scan = ScheduledScan.objects.select_for_update().get(id=scheduled_scan_id) # 更新基本字段 if dto.name: scheduled_scan.name = dto.name if dto.engine_ids is not None: scheduled_scan.engine_ids = dto.engine_ids if dto.engine_names is not None: scheduled_scan.engine_names = dto.engine_names if dto.yaml_configuration is not None: scheduled_scan.yaml_configuration = dto.yaml_configuration if dto.cron_expression is not None: scheduled_scan.cron_expression = dto.cron_expression if dto.is_enabled is not None: scheduled_scan.is_enabled = dto.is_enabled if dto.next_run_time is not None: scheduled_scan.next_run_time = dto.next_run_time # 切换扫描模式 if dto.organization_id is not None: # 切换到组织扫描模式 scheduled_scan.organization_id = dto.organization_id scheduled_scan.target_id = None # 清空目标 elif dto.target_id is not None: # 切换到目标扫描模式 scheduled_scan.organization_id = None # 清空组织 scheduled_scan.target_id = dto.target_id scheduled_scan.save() scan_mode = "organization" if scheduled_scan.organization_id else "target" logger.info("更新定时扫描任务 - ID: %s, Mode: %s", scheduled_scan_id, scan_mode) return scheduled_scan except ScheduledScan.DoesNotExist: logger.warning("定时扫描任务不存在 - ID: %s", scheduled_scan_id) return None def update_next_run_time(self, scheduled_scan_id: int, next_run_time: datetime) -> bool: """更新下次执行时间""" updated = ScheduledScan.objects.filter(id=scheduled_scan_id).update( next_run_time=next_run_time ) return updated > 0 def increment_run_count(self, scheduled_scan_id: int) -> bool: """增加执行次数并更新上次执行时间""" from django.db.models import F updated = ScheduledScan.objects.filter(id=scheduled_scan_id).update( run_count=F('run_count') + 1, last_run_time=timezone.now() ) return updated > 0 def toggle_enabled(self, scheduled_scan_id: int, enabled: bool) -> bool: """切换启用状态""" updated = ScheduledScan.objects.filter(id=scheduled_scan_id).update( is_enabled=enabled ) return updated > 0 def hard_delete(self, scheduled_scan_id: int) -> bool: """删除定时扫描任务""" deleted, _ = ScheduledScan.objects.filter(id=scheduled_scan_id).delete() if deleted > 0: logger.info("硬删除定时扫描任务 - ID: %s", scheduled_scan_id) return deleted > 0 ================================================ FILE: backend/apps/scan/scripts/__init__.py ================================================ ================================================ FILE: backend/apps/scan/scripts/run_cleanup.py ================================================ #!/usr/bin/env python """ 清理任务脚本 用于动态容器执行清理任务，目前支持： - results: 清理过期的扫描结果目录 如需添加其他清理任务，添加对应的 cleanup_xxx() 函数即可。 注意：此脚本只做文件清理，不需要 Django 环境。 """ import argparse import shutil import logging from datetime import datetime, timedelta from pathlib import Path logging.basicConfig( level=logging.INFO, format='[%(asctime)s] [%(levelname)s] %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logger = logging.getLogger(__name__) def cleanup_results(results_dir: str, retention_days: int) -> dict: """ 清理过期的扫描结果目录 Args: results_dir: 扫描结果根目录 retention_days: 保留天数 Returns: 清理统计信息 """ results_path = Path(results_dir) if not results_path.exists(): logger.warning(f"扫描结果目录不存在: {results_dir}") return {'deleted': 0, 'failed': 0, 'skipped': 0} cutoff_date = datetime.now() - timedelta(days=retention_days) stats = {'deleted': 0, 'failed': 0, 'skipped': 0, 'freed_bytes': 0} logger.info(f"开始清理扫描结果 - 目录: {results_dir}, 保留天数: {retention_days}") logger.info(f"清理截止时间: {cutoff_date}") for item in results_path.iterdir(): if not item.is_dir(): continue # 只处理 scan_ 开头的目录 if not item.name.startswith('scan_'): stats['skipped'] += 1 continue try: # 获取目录修改时间 mtime = datetime.fromtimestamp(item.stat().st_mtime) if mtime < cutoff_date: # 计算目录大小 dir_size = sum(f.stat().st_size for f in item.rglob('*') if f.is_file()) # 删除目录 shutil.rmtree(item) stats['deleted'] += 1 stats['freed_bytes'] += dir_size logger.info(f" 已删除: {item.name} (修改时间: {mtime}, 大小: {dir_size / 1024 / 1024:.2f} MB)") else: stats['skipped'] += 1 except Exception as e: logger.error(f" 删除失败: {item.name} - {e}") stats['failed'] += 1 logger.info(f"清理完成 - 删除: {stats['deleted']}, 失败: {stats['failed']}, 跳过: {stats['skipped']}") logger.info(f"释放空间: {stats['freed_bytes'] / 1024 / 1024:.2f} MB") return stats def main(): parser = argparse.ArgumentParser(description="清理任务") parser.add_argument("--results_dir", type=str, default="/opt/xingrin/results", help="扫描结果目录") parser.add_argument("--retention_days", type=int, default=7, help="保留天数") args = parser.parse_args() stats = cleanup_results(args.results_dir, args.retention_days) print(f"清理完成: {stats}") if __name__ == "__main__": main() ================================================ FILE: backend/apps/scan/scripts/run_delete_scans.py ================================================ #!/usr/bin/env python """ 扫描硬删除脚本 用于动态容器执行，硬删除已软删除的扫描及其关联数据。 """ import sys import argparse import json import logging from apps.common.container_bootstrap import fetch_config_and_setup_django logging.basicConfig( level=logging.INFO, format='[%(asctime)s] [%(levelname)s] %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logger = logging.getLogger(__name__) def hard_delete_scans(scan_ids: list[int]) -> dict: """ 硬删除扫描 Args: scan_ids: 扫描 ID 列表 Returns: 删除统计信息 """ from apps.scan.services import ScanService service = ScanService() try: deleted_count, details = service.hard_delete_scans(scan_ids) logger.info(f"✓ 硬删除完成 - 删除数量: {deleted_count}") logger.info(f" 详情: {details}") return { 'success': True, 'deleted_count': deleted_count, 'details': details, } except Exception as e: logger.error(f"硬删除失败: {e}", exc_info=True) return { 'success': False, 'error': str(e), } def main(): parser = argparse.ArgumentParser(description="硬删除扫描") parser.add_argument("--scan_ids", type=str, required=True, help="扫描 ID 列表 (JSON)") args = parser.parse_args() # 解析 scan_ids scan_ids = json.loads(args.scan_ids) logger.info(f"开始硬删除 {len(scan_ids)} 个扫描") # 获取配置并初始化 Django fetch_config_and_setup_django() # 执行删除 result = hard_delete_scans(scan_ids) print(f"删除完成: {result}") if not result.get('success'): sys.exit(1) if __name__ == "__main__": main() ================================================ FILE: backend/apps/scan/scripts/run_initiate_scan.py ================================================ #!/usr/bin/env python """ 扫描任务启动脚本 用于动态扫描容器启动时执行。 必须在 Django 导入之前获取配置并设置环境变量。 """ import argparse import sys import os import traceback def diagnose_prefect_environment(): """诊断 Prefect 运行环境，输出详细信息用于排查问题""" print("\n" + "="*60) print("Prefect 环境诊断") print("="*60) # 1. 检查 Prefect 相关环境变量 print("\n[诊断] Prefect 环境变量:") prefect_vars = [ 'PREFECT_HOME', 'PREFECT_API_URL', 'PREFECT_SERVER_EPHEMERAL_ENABLED', 'PREFECT_SERVER_EPHEMERAL_STARTUP_TIMEOUT_SECONDS', 'PREFECT_SERVER_DATABASE_CONNECTION_URL', 'PREFECT_LOGGING_LEVEL', 'PREFECT_DEBUG_MODE', ] for var in prefect_vars: value = os.environ.get(var, 'NOT SET') print(f" {var}={value}") # 2. 检查 PREFECT_HOME 目录 prefect_home = os.environ.get('PREFECT_HOME', os.path.expanduser('~/.prefect')) print(f"\n[诊断] PREFECT_HOME 目录: {prefect_home}") if os.path.exists(prefect_home): print(f" ✓ 目录存在") print(f" 可写: {os.access(prefect_home, os.W_OK)}") try: files = os.listdir(prefect_home) print(f" 文件列表: {files[:10]}{'...' if len(files) > 10 else ''}") except Exception as e: print(f" ✗ 无法列出文件: {e}") else: print(f" 目录不存在，尝试创建...") try: os.makedirs(prefect_home, exist_ok=True) print(f" ✓ 创建成功") except Exception as e: print(f" ✗ 创建失败: {e}") # 3. 检查 uvicorn 是否可用 print(f"\n[诊断] uvicorn 可用性:") import shutil uvicorn_path = shutil.which('uvicorn') if uvicorn_path: print(f" ✓ uvicorn 路径: {uvicorn_path}") else: print(f" ✗ uvicorn 不在 PATH 中") print(f" PATH: {os.environ.get('PATH', 'NOT SET')}") # 4. 检查 Prefect 版本 print(f"\n[诊断] Prefect 版本:") try: import prefect print(f" ✓ prefect=={prefect.__version__}") except Exception as e: print(f" ✗ 无法导入 prefect: {e}") # 5. 检查 SQLite 支持 print(f"\n[诊断] SQLite 支持:") try: import sqlite3 print(f" ✓ sqlite3 版本: {sqlite3.sqlite_version}") # 测试创建数据库 test_db = os.path.join(prefect_home, 'test.db') conn = sqlite3.connect(test_db) conn.execute('CREATE TABLE IF NOT EXISTS test (id INTEGER)') conn.close() os.remove(test_db) print(f" ✓ SQLite 读写测试通过") except Exception as e: print(f" ✗ SQLite 测试失败: {e}") # 6. 检查端口绑定能力 print(f"\n[诊断] 端口绑定测试:") try: import socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind(('127.0.0.1', 0)) port = sock.getsockname()[1] sock.close() print(f" ✓ 可以绑定 127.0.0.1 端口 (测试端口: {port})") except Exception as e: print(f" ✗ 端口绑定失败: {e}") # 7. 检查内存情况 print(f"\n[诊断] 系统资源:") try: import psutil mem = psutil.virtual_memory() print(f" 内存总量: {mem.total / 1024 / 1024:.0f} MB") print(f" 可用内存: {mem.available / 1024 / 1024:.0f} MB") print(f" 内存使用率: {mem.percent}%") except ImportError: print(f" psutil 未安装，跳过内存检查") except Exception as e: print(f" ✗ 资源检查失败: {e}") print("\n" + "="*60) print("诊断完成") print("="*60 + "\n") def main(): print("="*60) print("run_initiate_scan.py 启动") print(f" Python: {sys.version}") print(f" CWD: {os.getcwd()}") print(f" SERVER_URL: {os.environ.get('SERVER_URL', 'NOT SET')}") print("="*60) # 1. 从配置中心获取配置并初始化 Django（必须在 Django 导入之前） print("[1/4] 从配置中心获取配置...") try: from apps.common.container_bootstrap import fetch_config_and_setup_django fetch_config_and_setup_django() print("[1/4] ✓ 配置获取成功") except Exception as e: print(f"[1/4] ✗ 配置获取失败: {e}") traceback.print_exc() sys.exit(1) # 2. 解析命令行参数 print("[2/4] 解析命令行参数...") parser = argparse.ArgumentParser(description="执行扫描初始化 Flow") parser.add_argument("--scan_id", type=int, required=True, help="扫描任务 ID") parser.add_argument("--target_name", type=str, required=True, help="目标名称") parser.add_argument("--target_id", type=int, required=True, help="目标 ID") parser.add_argument("--scan_workspace_dir", type=str, required=True, help="扫描工作目录") parser.add_argument("--engine_name", type=str, required=True, help="引擎名称") parser.add_argument("--scheduled_scan_name", type=str, default=None, help="定时扫描任务名称（可选）") args = parser.parse_args() print(f"[2/4] ✓ 参数解析成功:") print(f" scan_id: {args.scan_id}") print(f" target_name: {args.target_name}") print(f" target_id: {args.target_id}") print(f" scan_workspace_dir: {args.scan_workspace_dir}") print(f" engine_name: {args.engine_name}") print(f" scheduled_scan_name: {args.scheduled_scan_name}") # 2.5. 运行 Prefect 环境诊断（仅在 DEBUG 模式下） if os.environ.get('DEBUG', '').lower() == 'true': diagnose_prefect_environment() # 3. 现在可以安全导入 Django 相关模块 print("[3/4] 导入 initiate_scan_flow...") try: from apps.scan.flows.initiate_scan_flow import initiate_scan_flow print("[3/4] ✓ 导入成功") except Exception as e: print(f"[3/4] ✗ 导入失败: {e}") traceback.print_exc() sys.exit(1) # 4. 执行 Flow print("[4/4] 执行 initiate_scan_flow...") try: result = initiate_scan_flow( scan_id=args.scan_id, target_name=args.target_name, target_id=args.target_id, scan_workspace_dir=args.scan_workspace_dir, engine_name=args.engine_name, scheduled_scan_name=args.scheduled_scan_name, ) print("[4/4] ✓ Flow 执行完成") print(f"结果: {result}") except Exception as e: print(f"[4/4] ✗ Flow 执行失败: {e}") traceback.print_exc() sys.exit(1) if __name__ == "__main__": main() ================================================ FILE: backend/apps/scan/scripts/run_scheduled_scan.py ================================================ ================================================ FILE: backend/apps/scan/serializers/__init__.py ================================================ """Scan Serializers - 统一导出""" from .mixins import ScanConfigValidationMixin from .scan_serializers import ( ScanSerializer, ScanHistorySerializer, QuickScanSerializer, InitiateScanSerializer, ) from .scan_log_serializers import ScanLogSerializer from .scheduled_scan_serializers import ( ScheduledScanSerializer, CreateScheduledScanSerializer, UpdateScheduledScanSerializer, ToggleScheduledScanSerializer, ) from .subfinder_provider_settings_serializers import SubfinderProviderSettingsSerializer # 兼容旧名称 ProviderSettingsSerializer = SubfinderProviderSettingsSerializer __all__ = [ # Mixins 'ScanConfigValidationMixin', # Scan 'ScanSerializer', 'ScanHistorySerializer', 'QuickScanSerializer', 'InitiateScanSerializer', # ScanLog 'ScanLogSerializer', # Scheduled Scan 'ScheduledScanSerializer', 'CreateScheduledScanSerializer', 'UpdateScheduledScanSerializer', 'ToggleScheduledScanSerializer', # Subfinder Provider Settings 'SubfinderProviderSettingsSerializer', 'ProviderSettingsSerializer', # 兼容旧名称 ] ================================================ FILE: backend/apps/scan/serializers/mixins.py ================================================ """序列化器通用 Mixin 和工具类""" from rest_framework import serializers import yaml class DuplicateKeyLoader(yaml.SafeLoader): """自定义 YAML Loader，检测重复 key""" pass def _check_duplicate_keys(loader, node, deep=False): """检测 YAML mapping 中的重复 key""" mapping = {} for key_node, value_node in node.value: key = loader.construct_object(key_node, deep=deep) if key in mapping: raise yaml.constructor.ConstructorError( "while constructing a mapping", node.start_mark, 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 ) mapping[key] = loader.construct_object(value_node, deep=deep) return mapping DuplicateKeyLoader.add_constructor( yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, _check_duplicate_keys ) class ScanConfigValidationMixin: """扫描配置验证 Mixin""" def validate_configuration(self, value): """验证 YAML 配置格式""" if not value or not value.strip(): raise serializers.ValidationError("configuration 不能为空") try: yaml.load(value, Loader=DuplicateKeyLoader) except yaml.YAMLError as e: raise serializers.ValidationError(f"无效的 YAML 格式: {str(e)}") return value def validate_engine_ids(self, value): """验证引擎 ID 列表""" if not value: raise serializers.ValidationError("engine_ids 不能为空，请至少选择一个扫描引擎") return value def validate_engine_names(self, value): """验证引擎名称列表""" if not value: raise serializers.ValidationError("engine_names 不能为空") return value ================================================ FILE: backend/apps/scan/serializers/scan_log_serializers.py ================================================ """扫描日志序列化器""" from rest_framework import serializers from ..models import ScanLog class ScanLogSerializer(serializers.ModelSerializer): """扫描日志序列化器""" class Meta: model = ScanLog fields = ['id', 'level', 'content', 'created_at'] ================================================ FILE: backend/apps/scan/serializers/scan_serializers.py ================================================ """扫描任务序列化器""" from rest_framework import serializers from ..models import Scan from .mixins import ScanConfigValidationMixin class ScanSerializer(serializers.ModelSerializer): """扫描任务序列化器""" target_name = serializers.SerializerMethodField() class Meta: model = Scan fields = [ 'id', 'target', 'target_name', 'engine_ids', 'engine_names', 'created_at', 'stopped_at', 'status', 'results_dir', 'container_ids', 'error_message' ] read_only_fields = [ 'id', 'created_at', 'stopped_at', 'results_dir', 'container_ids', 'error_message', 'status' ] def get_target_name(self, obj): return obj.target.name if obj.target else None class ScanHistorySerializer(serializers.ModelSerializer): """扫描历史列表序列化器""" target_name = serializers.CharField(source='target.name', read_only=True) worker_name = serializers.CharField(source='worker.name', read_only=True, allow_null=True) summary = serializers.SerializerMethodField() progress = serializers.IntegerField(read_only=True) current_stage = serializers.CharField(read_only=True) stage_progress = serializers.JSONField(read_only=True) class Meta: model = Scan fields = [ 'id', 'target', 'target_name', 'engine_ids', 'engine_names', 'worker_name', 'created_at', 'status', 'error_message', 'summary', 'progress', 'current_stage', 'stage_progress', 'yaml_configuration' ] def get_summary(self, obj): summary = { 'subdomains': obj.cached_subdomains_count or 0, 'websites': obj.cached_websites_count or 0, 'endpoints': obj.cached_endpoints_count or 0, 'ips': obj.cached_ips_count or 0, 'directories': obj.cached_directories_count or 0, 'screenshots': obj.cached_screenshots_count or 0, } summary['vulnerabilities'] = { 'total': obj.cached_vulns_total or 0, 'critical': obj.cached_vulns_critical or 0, 'high': obj.cached_vulns_high or 0, 'medium': obj.cached_vulns_medium or 0, 'low': obj.cached_vulns_low or 0, } return summary class QuickScanSerializer(ScanConfigValidationMixin, serializers.Serializer): """快速扫描序列化器""" MAX_BATCH_SIZE = 5000 targets = serializers.ListField( child=serializers.DictField(), help_text='目标列表，每个目标包含 name 字段' ) configuration = serializers.CharField(required=True, help_text='YAML 格式的扫描配置') engine_ids = serializers.ListField(child=serializers.IntegerField(), required=True) engine_names = serializers.ListField(child=serializers.CharField(), required=True) def validate_targets(self, value): if not value: raise serializers.ValidationError("目标列表不能为空") if len(value) > self.MAX_BATCH_SIZE: raise serializers.ValidationError( f"快速扫描最多支持 {self.MAX_BATCH_SIZE} 个目标，当前提交了 {len(value)} 个" ) for idx, target in enumerate(value): if 'name' not in target: raise serializers.ValidationError(f"第 {idx + 1} 个目标缺少 name 字段") if not target['name']: raise serializers.ValidationError(f"第 {idx + 1} 个目标的 name 不能为空") return value class InitiateScanSerializer(ScanConfigValidationMixin, serializers.Serializer): """发起扫描任务序列化器""" configuration = serializers.CharField(required=True, help_text='YAML 格式的扫描配置') engine_ids = serializers.ListField(child=serializers.IntegerField(), required=True) engine_names = serializers.ListField(child=serializers.CharField(), required=True) organization_id = serializers.IntegerField(required=False, allow_null=True) target_id = serializers.IntegerField(required=False, allow_null=True) def validate(self, data): organization_id = data.get('organization_id') target_id = data.get('target_id') if not organization_id and not target_id: raise serializers.ValidationError('必须提供 organization_id 或 target_id 其中之一') if organization_id and target_id: raise serializers.ValidationError('organization_id 和 target_id 只能提供其中之一') return data ================================================ FILE: backend/apps/scan/serializers/scheduled_scan_serializers.py ================================================ """定时扫描序列化器""" from rest_framework import serializers from ..models import ScheduledScan from .mixins import ScanConfigValidationMixin class ScheduledScanSerializer(serializers.ModelSerializer): """定时扫描任务序列化器（用于列表和详情）""" organization_id = serializers.IntegerField(source='organization.id', read_only=True, allow_null=True) organization_name = serializers.CharField(source='organization.name', read_only=True, allow_null=True) target_id = serializers.IntegerField(source='target.id', read_only=True, allow_null=True) target_name = serializers.CharField(source='target.name', read_only=True, allow_null=True) scan_mode = serializers.SerializerMethodField() class Meta: model = ScheduledScan fields = [ 'id', 'name', 'engine_ids', 'engine_names', 'organization_id', 'organization_name', 'target_id', 'target_name', 'scan_mode', 'cron_expression', 'is_enabled', 'run_count', 'last_run_time', 'next_run_time', 'created_at', 'updated_at' ] read_only_fields = [ 'id', 'run_count', 'last_run_time', 'next_run_time', 'created_at', 'updated_at' ] def get_scan_mode(self, obj): return 'organization' if obj.organization_id else 'target' class CreateScheduledScanSerializer(ScanConfigValidationMixin, serializers.Serializer): """创建定时扫描任务序列化器""" name = serializers.CharField(max_length=200, help_text='任务名称') configuration = serializers.CharField(required=True, help_text='YAML 格式的扫描配置') engine_ids = serializers.ListField(child=serializers.IntegerField(), required=True) engine_names = serializers.ListField(child=serializers.CharField(), required=True) organization_id = serializers.IntegerField(required=False, allow_null=True) target_id = serializers.IntegerField(required=False, allow_null=True) cron_expression = serializers.CharField(max_length=100, default='0 2 * * *') is_enabled = serializers.BooleanField(default=True) def validate(self, data): organization_id = data.get('organization_id') target_id = data.get('target_id') if not organization_id and not target_id: raise serializers.ValidationError('必须提供 organization_id 或 target_id 其中之一') if organization_id and target_id: raise serializers.ValidationError('organization_id 和 target_id 只能提供其中之一') return data class UpdateScheduledScanSerializer(serializers.Serializer): """更新定时扫描任务序列化器""" name = serializers.CharField(max_length=200, required=False) engine_ids = serializers.ListField(child=serializers.IntegerField(), required=False) organization_id = serializers.IntegerField(required=False, allow_null=True) target_id = serializers.IntegerField(required=False, allow_null=True) cron_expression = serializers.CharField(max_length=100, required=False) is_enabled = serializers.BooleanField(required=False) def validate_engine_ids(self, value): if value is not None and not value: raise serializers.ValidationError("engine_ids 不能为空") return value class ToggleScheduledScanSerializer(serializers.Serializer): """切换定时扫描启用状态序列化器""" is_enabled = serializers.BooleanField(help_text='是否启用') ================================================ FILE: backend/apps/scan/serializers/subfinder_provider_settings_serializers.py ================================================ """Subfinder Provider 配置序列化器""" from rest_framework import serializers class SubfinderProviderSettingsSerializer(serializers.Serializer): """Subfinder Provider 配置序列化器 支持的 Provider: - fofa: email + api_key (composite) - censys: api_id + api_secret (composite) - hunter, shodan, zoomeye, securitytrails, threatbook, quake: api_key (single) 注意：djangorestframework-camel-case 会自动处理 camelCase <-> snake_case 转换 所以这里统一使用 snake_case """ VALID_PROVIDERS = { 'fofa', 'hunter', 'shodan', 'censys', 'zoomeye', 'securitytrails', 'threatbook', 'quake' } def to_internal_value(self, data): """验证并转换输入数据""" if not isinstance(data, dict): raise serializers.ValidationError('Expected a dictionary') result = {} for provider, config in data.items(): if provider not in self.VALID_PROVIDERS: continue if not isinstance(config, dict): continue db_config = {'enabled': bool(config.get('enabled', False))} if provider == 'fofa': db_config['email'] = str(config.get('email', '')) db_config['api_key'] = str(config.get('api_key', '')) elif provider == 'censys': db_config['api_id'] = str(config.get('api_id', '')) db_config['api_secret'] = str(config.get('api_secret', '')) else: db_config['api_key'] = str(config.get('api_key', '')) result[provider] = db_config return result def to_representation(self, instance): """输出数据（数据库格式，camel-case 中间件会自动转换）""" if isinstance(instance, dict): return instance return instance.providers if hasattr(instance, 'providers') else {} ================================================ FILE: backend/apps/scan/services/__init__.py ================================================ """ 扫描服务模块 提供各种扫描任务的服务功能 架构： - ScanService: 主服务（协调者） - ScanCreationService: 创建服务 - ScanStateService: 状态管理服务 - ScanControlService: 控制服务 - ScanStatsService: 统计服务 """ from .scan_service import ScanService from .scan_creation_service import ScanCreationService from .scan_state_service import ScanStateService from .scan_control_service import ScanControlService from .scan_stats_service import ScanStatsService from .scheduled_scan_service import ScheduledScanService from .target_export_service import ( TargetExportService, create_export_service, export_urls_with_fallback, DataSource, ) __all__ = [ 'ScanService', # 主入口（向后兼容） 'ScanCreationService', 'ScanStateService', 'ScanControlService', 'ScanStatsService', 'ScheduledScanService', 'TargetExportService', # 目标导出服务 'create_export_service', 'export_urls_with_fallback', 'DataSource', ] ================================================ FILE: backend/apps/scan/services/quick_scan_service.py ================================================ """ 快速扫描服务 负责解析用户输入（URL、域名、IP、CIDR）并创建对应的资产数据 """ import logging from dataclasses import dataclass from typing import Optional, Literal, List, Dict, Any from urllib.parse import urlparse from django.db import transaction from apps.common.validators import validate_url, detect_input_type, validate_domain, validate_ip, validate_cidr, is_valid_ip from apps.targets.services.target_service import TargetService from apps.targets.models import Target from apps.asset.dtos import WebSiteDTO from apps.asset.dtos.asset import EndpointDTO from apps.asset.repositories.asset.website_repository import DjangoWebSiteRepository from apps.asset.repositories.asset.endpoint_repository import DjangoEndpointRepository logger = logging.getLogger(__name__) @dataclass class ParsedInputDTO: """ 解析输入 DTO 只在快速扫描流程中使用 """ original_input: str input_type: Literal['url', 'domain', 'ip', 'cidr'] target_name: str # host/domain/ip/cidr target_type: Literal['domain', 'ip', 'cidr'] website_url: Optional[str] = None # 根 URL（scheme://host[:port]） endpoint_url: Optional[str] = None # 完整 URL（含路径） is_valid: bool = True error: Optional[str] = None line_number: Optional[int] = None class QuickScanService: """快速扫描服务 - 解析输入并创建资产""" def __init__(self): self.target_service = TargetService() self.website_repo = DjangoWebSiteRepository() self.endpoint_repo = DjangoEndpointRepository() def parse_inputs(self, inputs: List[str]) -> List[ParsedInputDTO]: """ 解析多行输入 Args: inputs: 输入字符串列表（每行一个） Returns: 解析结果列表（跳过空行） """ results = [] for line_number, input_str in enumerate(inputs, start=1): input_str = input_str.strip() # 空行跳过 if not input_str: continue try: # 检测输入类型 input_type = detect_input_type(input_str) if input_type == 'url': dto = self._parse_url_input(input_str, line_number) else: dto = self._parse_target_input(input_str, input_type, line_number) results.append(dto) except ValueError as e: # 解析失败，记录错误 results.append(ParsedInputDTO( original_input=input_str, input_type='domain', # 默认类型 target_name=input_str, target_type='domain', is_valid=False, error=str(e), line_number=line_number )) return results def _parse_url_input(self, url_str: str, line_number: int) -> ParsedInputDTO: """ 解析 URL 输入 Args: url_str: URL 字符串 line_number: 行号 Returns: ParsedInputDTO """ # 验证 URL 格式 validate_url(url_str) # 使用标准库解析 parsed = urlparse(url_str) host = parsed.hostname # 不含端口 has_path = parsed.path and parsed.path != '/' # 构建 root_url: scheme://host[:port] root_url = f"{parsed.scheme}://{parsed.netloc}" # 检测 host 类型（domain 或 ip） target_type = 'ip' if is_valid_ip(host) else 'domain' return ParsedInputDTO( original_input=url_str, input_type='url', target_name=host, target_type=target_type, website_url=root_url, endpoint_url=url_str if has_path else None, line_number=line_number ) def _parse_target_input( self, input_str: str, input_type: str, line_number: int ) -> ParsedInputDTO: """ 解析非 URL 输入（domain/ip/cidr） Args: input_str: 输入字符串 input_type: 输入类型 line_number: 行号 Returns: ParsedInputDTO """ # 验证格式 if input_type == 'domain': validate_domain(input_str) target_type = 'domain' elif input_type == 'ip': validate_ip(input_str) target_type = 'ip' elif input_type == 'cidr': validate_cidr(input_str) target_type = 'cidr' else: raise ValueError(f"未知的输入类型: {input_type}") return ParsedInputDTO( original_input=input_str, input_type=input_type, target_name=input_str, target_type=target_type, website_url=None, endpoint_url=None, line_number=line_number ) @transaction.atomic def process_quick_scan( self, inputs: List[str], engine_id: int ) -> Dict[str, Any]: """ 处理快速扫描请求 Args: inputs: 输入字符串列表 engine_id: 扫描引擎 ID Returns: 处理结果字典 """ # 1. 解析输入 parsed_inputs = self.parse_inputs(inputs) # 分离有效和无效输入 valid_inputs = [p for p in parsed_inputs if p.is_valid] invalid_inputs = [p for p in parsed_inputs if not p.is_valid] if not valid_inputs: return { 'targets': [], 'target_stats': {'created': 0, 'reused': 0, 'failed': len(invalid_inputs)}, 'asset_stats': {'websites_created': 0, 'endpoints_created': 0}, 'errors': [ {'line_number': p.line_number, 'input': p.original_input, 'error': p.error} for p in invalid_inputs ] } # 2. 创建资产 asset_result = self.create_assets_from_parsed_inputs(valid_inputs) # 3. 返回结果 return { 'targets': asset_result['targets'], 'target_stats': asset_result['target_stats'], 'asset_stats': asset_result['asset_stats'], 'errors': [ {'line_number': p.line_number, 'input': p.original_input, 'error': p.error} for p in invalid_inputs ] } def create_assets_from_parsed_inputs( self, parsed_inputs: List[ParsedInputDTO] ) -> Dict[str, Any]: """ 从解析结果创建资产 Args: parsed_inputs: 解析结果列表（只包含有效输入） Returns: 创建结果字典 """ # 1. 收集所有 target 数据（内存操作，去重） targets_data = {} for dto in parsed_inputs: if dto.target_name not in targets_data: targets_data[dto.target_name] = {'name': dto.target_name, 'type': dto.target_type} targets_list = list(targets_data.values()) # 2. 批量创建 Target（复用现有方法） target_result = self.target_service.batch_create_targets(targets_list) # 3. 查询刚创建的 Target，建立 name → id 映射 target_names = [d['name'] for d in targets_list] targets = Target.objects.filter(name__in=target_names) target_id_map = {t.name: t.id for t in targets} # 4. 收集 Website DTO（内存操作，去重） website_dtos = [] seen_websites = set() for dto in parsed_inputs: if dto.website_url and dto.website_url not in seen_websites: seen_websites.add(dto.website_url) target_id = target_id_map.get(dto.target_name) if target_id: website_dtos.append(WebSiteDTO( target_id=target_id, url=dto.website_url, host=dto.target_name )) # 5. 批量创建 Website（存在即跳过） websites_created = 0 if website_dtos: websites_created = self.website_repo.bulk_create_ignore_conflicts(website_dtos) # 6. 收集 Endpoint DTO（内存操作，去重） endpoint_dtos = [] seen_endpoints = set() for dto in parsed_inputs: if dto.endpoint_url and dto.endpoint_url not in seen_endpoints: seen_endpoints.add(dto.endpoint_url) target_id = target_id_map.get(dto.target_name) if target_id: endpoint_dtos.append(EndpointDTO( target_id=target_id, url=dto.endpoint_url, host=dto.target_name )) # 7. 批量创建 Endpoint（存在即跳过） endpoints_created = 0 if endpoint_dtos: endpoints_created = self.endpoint_repo.bulk_create_ignore_conflicts(endpoint_dtos) return { 'targets': list(targets), 'target_stats': { 'created': target_result['created_count'], 'reused': 0, # bulk_create 无法区分新建和复用 'failed': target_result['failed_count'] }, 'asset_stats': { 'websites_created': websites_created, 'endpoints_created': endpoints_created } } ================================================ FILE: backend/apps/scan/services/scan_control_service.py ================================================ """ 扫描控制服务 职责： - 停止扫描（docker kill 强制杀死） - 删除扫描（两阶段删除） """ import logging import threading from typing import Dict, List from django.db import transaction, connection from django.db.utils import DatabaseError, OperationalError from django.core.exceptions import ObjectDoesNotExist from django.utils import timezone from apps.common.definitions import ScanStatus from apps.scan.repositories import DjangoScanRepository logger = logging.getLogger(__name__) class ScanControlService: """ 扫描控制服务 职责： - 停止扫描（取消 Flow Run） - 删除扫描（两阶段删除） - 批量操作 """ def __init__(self): """ 初始化服务 """ self.scan_repo = DjangoScanRepository() def _stop_containers( self, container_ids: List[str], worker_id: int, ) -> int: """ 在指定 Worker 上停止 Docker 容器 Args: container_ids: 容器 ID 列表 worker_id: Worker 节点 ID Returns: 成功停止的数量 """ if not container_ids: return 0 from apps.engine.models import WorkerNode try: worker = WorkerNode.objects.get(id=worker_id) except WorkerNode.DoesNotExist: logger.error(f"Worker 不存在: {worker_id}") return 0 # 构建 docker kill 命令（强制杀死，避免进程不响应 SIGTERM） container_ids_str = ' '.join(container_ids) docker_cmd = f"docker kill {container_ids_str} 2>/dev/null || true" stopped_count = 0 if worker.is_local: # 本地执行 import subprocess try: result = subprocess.run( docker_cmd, shell=True, capture_output=True, text=True, timeout=30 ) # 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） if result.stdout: stopped_count = len(result.stdout.strip().split('\n')) logger.info(f"本地 docker kill 完成: {stopped_count}/{len(container_ids)}") except Exception as e: logger.error(f"本地 docker kill 失败: {e}") else: # 远程通过 SSH 执行 import paramiko ssh = None try: ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) ssh.connect( hostname=worker.ip_address, port=worker.ssh_port, username=worker.username, password=worker.password if worker.password else None, timeout=10, ) stdin, stdout, stderr = ssh.exec_command(docker_cmd, timeout=30) output = stdout.read().decode().strip() if output: stopped_count = len(output.split('\n')) logger.info(f"SSH docker kill 完成 - Worker: {worker.name}, 数量: {stopped_count}/{len(container_ids)}") except Exception as e: logger.error(f"SSH docker kill 失败 - Worker: {worker.name}: {e}") finally: if ssh: ssh.close() return stopped_count def delete_scans_two_phase(self, scan_ids: List[int]) -> dict: """ 两阶段删除扫描任务 流程： 1. 软删除：立即更新 deleted_at 字段（同步，快速） 2. 后台异步：停止容器 + 分发硬删除任务（不阻塞 API） Args: scan_ids: 扫描任务 ID 列表 Returns: 删除结果统计 """ # 1. 获取要删除的 Scan 信息 scans = list(self.scan_repo.get_all(prefetch_relations=False).filter(id__in=scan_ids)) if not scans: raise ValueError("未找到要删除的 Scan") scan_names = [f"Scan #{s.id}" for s in scans] existing_ids = [s.id for s in scans] # 2. 收集需要停止的容器信息（同步收集，异步执行） containers_by_worker: Dict[int, List[str]] = {} for scan in scans: if scan.status in [ScanStatus.RUNNING, ScanStatus.INITIATED]: if scan.container_ids and scan.worker_id: if scan.worker_id not in containers_by_worker: containers_by_worker[scan.worker_id] = [] containers_by_worker[scan.worker_id].extend(scan.container_ids) # 3. 第一阶段：软删除（同步，快速） soft_count = self.scan_repo.soft_delete_by_ids(existing_ids) logger.info(f"✓ 软删除完成: {soft_count} 个 Scan") # 4. 第二阶段：后台异步执行停止容器 + 硬删除（不阻塞 API） thread = threading.Thread( target=self._async_cleanup_and_hard_delete, args=(existing_ids, containers_by_worker), daemon=True, ) thread.start() return { 'soft_deleted_count': soft_count, 'scan_names': scan_names, 'hard_delete_scheduled': True, } def _async_cleanup_and_hard_delete( self, scan_ids: List[int], containers_by_worker: Dict[int, List[str]] ): """ 后台线程：停止容器 + 分发硬删除任务 """ # 后台线程需要新的数据库连接 connection.close() # 1. 停止容器 if containers_by_worker: total_containers = sum(len(c) for c in containers_by_worker.values()) logger.info(f"🛑 后台停止容器 - Worker 数量: {len(containers_by_worker)}, 容器数量: {total_containers}") stopped_count = 0 for worker_id, container_ids in containers_by_worker.items(): try: count = self._stop_containers(container_ids, worker_id) stopped_count += count except Exception as e: logger.warning(f"停止容器时出错 - Worker ID {worker_id}: {e}") logger.info(f"✓ 已停止 {stopped_count}/{total_containers} 个容器") # 2. 分发硬删除任务 try: from apps.engine.services.task_distributor import get_task_distributor distributor = get_task_distributor() success, message, container_id = distributor.execute_delete_task( task_type='scans', ids=scan_ids ) if success: logger.info(f"✓ 硬删除任务已分发 - Container: {container_id}") else: logger.warning(f"硬删除任务分发失败: {message}") except Exception as e: logger.error(f"❌ 分发删除任务失败: {e}", exc_info=True) def stop_scan(self, scan_id: int) -> tuple[bool, int]: """ 主动停止扫描任务（用户发起） 工作流程： 1. 验证扫描状态（只能停止 RUNNING/INITIATED） 2. 通过 docker kill 强制终止容器 3. 立即更新状态为 CANCELLED（终态） Args: scan_id: 扫描任务 ID Returns: (是否成功, 停止的容器数量) 并发安全： 使用数据库行锁（select_for_update）防止并发修改， 避免用户重复点击导致的重复操作 """ try: # 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） with transaction.atomic(): # 使用 select_for_update() 加行锁，防止并发修改 scan = self.scan_repo.get_by_id_for_update(scan_id) if not scan: logger.error("Scan 不存在 - Scan ID: %s", scan_id) return False, 0 # 2. 验证状态（只能停止 RUNNING/INITIATED） if scan.status not in [ScanStatus.RUNNING, ScanStatus.INITIATED]: logger.warning( "无法停止扫描：当前状态为 %s - Scan ID: %s", ScanStatus(scan.status).label, scan_id ) return False, 0 # 3. 获取容器 ID 列表和 Worker ID（在锁内读取，确保数据一致性） container_ids = scan.container_ids or [] worker_id = scan.worker_id # 4. 立即更新状态为 CANCELLED（终态） scan.status = ScanStatus.CANCELLED scan.stopped_at = timezone.now() scan.error_message = "用户手动取消扫描" scan.save(update_fields=['status', 'stopped_at', 'error_message']) logger.info("✓ 已更新状态为 CANCELLED（事务内）- Scan ID: %s", scan_id) # 5. 更新阶段进度：running → cancelled, pending → cancelled from apps.scan.services.scan_state_service import ScanStateService state_service = ScanStateService() state_service.cancel_running_stages(scan_id, final_status="cancelled") # 事务结束，锁释放 # 后续耗时操作在事务外执行，避免长时间持有锁 # 6. 停止 Docker 容器（通过 SSH/本地执行 docker stop） stopped_count = 0 if container_ids and worker_id: try: stopped_count = self._stop_containers(container_ids, worker_id) logger.info( "✓ 已停止 %d/%d 个容器 - Scan ID: %s", stopped_count, len(container_ids), scan_id ) except Exception as e: logger.error("停止容器失败: %s", e) # 容器停止失败不影响取消结果，状态已经更新为 CANCELLED elif not worker_id: logger.warning("无 Worker 信息，跳过容器停止 - Scan ID: %s", scan_id) else: logger.info("无关联容器需要停止 - Scan ID: %s", scan_id) return True, stopped_count except (DatabaseError, OperationalError) as e: logger.exception("数据库错误：停止扫描失败 - Scan ID: %s", scan_id) raise except ObjectDoesNotExist: logger.error("Scan 不存在 - Scan ID: %s", scan_id) return False, 0 # 导出接口 __all__ = ['ScanControlService'] ================================================ FILE: backend/apps/scan/services/scan_creation_service.py ================================================ """ 扫描创建服务 职责： - 准备扫描参数 - 创建 Scan 记录 - 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） """ import uuid import logging import threading from typing import List, Tuple from datetime import datetime from pathlib import Path from django.conf import settings from django.db import transaction, connection from django.db.utils import DatabaseError, IntegrityError, OperationalError from django.core.exceptions import ValidationError, ObjectDoesNotExist from apps.scan.models import Scan from apps.scan.repositories import DjangoScanRepository from apps.scan.utils.config_merger import merge_engine_configs, ConfigConflictError from apps.targets.repositories import DjangoTargetRepository, DjangoOrganizationRepository from apps.engine.repositories import DjangoEngineRepository from apps.targets.models import Target from apps.engine.models import ScanEngine from apps.common.definitions import ScanStatus from apps.engine.services.task_distributor import get_task_distributor logger = logging.getLogger(__name__) class ScanCreationService: """ 扫描创建服务 职责： - 准备扫描参数 - 创建 Scan 记录 - 通过负载感知分发器在最优 Worker 上执行任务 - 处理创建过程中的错误 """ def __init__(self): """ 初始化服务 Note: 移除了依赖注入，因为： 1. 项目没有单元测试需求 2. 不会更换数据库实现 3. 所有调用都是直接实例化 4. 减少不必要的复杂度 """ self.scan_repo = DjangoScanRepository() self.target_repo = DjangoTargetRepository() self.organization_repo = DjangoOrganizationRepository() self.engine_repo = DjangoEngineRepository() def prepare_initiate_scan( self, organization_id: int | None = None, target_id: int | None = None, engine_id: int | None = None ) -> tuple[List[Target], ScanEngine]: """ 准备扫描任务所需的数据 职责： 1. 参数验证（必填项、互斥参数） 2. 资源查询（Engine、Organization、Target） 3. 业务逻辑判断（组织下是否有目标） 4. 返回准备好的目标列表和扫描引擎 Args: organization_id: 组织ID（可选） target_id: 目标ID（可选） engine_id: 扫描引擎ID（必填） Returns: (目标列表, 扫描引擎对象) - 供 create_scans 方法使用 Raises: ValidationError: 参数验证失败或业务规则不满足 ObjectDoesNotExist: 资源不存在（Organization/Target/ScanEngine） Note: - organization_id 和 target_id 必须二选一 - 如果提供 organization_id，返回该组织下所有目标 - 如果提供 target_id，返回单个目标列表 """ # 1. 参数验证 if not engine_id: raise ValidationError('缺少必填参数: engine_id') if not organization_id and not target_id: raise ValidationError('必须提供 organization_id 或 target_id 其中之一') if organization_id and target_id: raise ValidationError('organization_id 和 target_id 只能提供其中之一') # 2. 查询扫描引擎（通过 Repository 层） engine = self.engine_repo.get_by_id(engine_id) if not engine: logger.error("扫描引擎不存在 - Engine ID: %s", engine_id) raise ObjectDoesNotExist(f'ScanEngine ID {engine_id} 不存在') # 3. 根据参数获取目标列表 targets = [] if organization_id: # 根据组织ID获取所有目标（通过 Repository 层） organization = self.organization_repo.get_by_id(organization_id) if not organization: logger.error("组织不存在 - Organization ID: %s", organization_id) raise ObjectDoesNotExist(f'Organization ID {organization_id} 不存在') targets = self.organization_repo.get_targets(organization_id) if not targets: raise ValidationError(f'组织 ID {organization_id} 下没有目标') logger.debug( "准备发起扫描 - 组织: %s, 目标数量: %d, 引擎: %s", organization.name, len(targets), engine.name ) else: # 根据目标ID获取单个目标（通过 Repository 层） target = self.target_repo.get_by_id(target_id) if not target: logger.error("目标不存在 - Target ID: %s", target_id) raise ObjectDoesNotExist(f'Target ID {target_id} 不存在') targets = [target] logger.debug( "准备发起扫描 - 目标: %s, 引擎: %s", target.name, engine.name ) return targets, engine def prepare_initiate_scan_multi_engine( self, organization_id: int | None = None, target_id: int | None = None, engine_ids: List[int] | None = None ) -> Tuple[List[Target], str, List[str], List[int]]: """ 准备多引擎扫描任务所需的数据 职责： 1. 参数验证（必填项、互斥参数） 2. 资源查询（Engines、Organization、Target） 3. 合并引擎配置（检测冲突） 4. 返回准备好的目标列表、合并配置和引擎信息 Args: organization_id: 组织ID（可选） target_id: 目标ID（可选） engine_ids: 扫描引擎ID列表（必填） Returns: (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 Raises: ValidationError: 参数验证失败或业务规则不满足 ObjectDoesNotExist: 资源不存在（Organization/Target/ScanEngine） ConfigConflictError: 引擎配置存在冲突 Note: - organization_id 和 target_id 必须二选一 - 如果提供 organization_id，返回该组织下所有目标 - 如果提供 target_id，返回单个目标列表 """ # 1. 参数验证 if not engine_ids: raise ValidationError('缺少必填参数: engine_ids') if not organization_id and not target_id: raise ValidationError('必须提供 organization_id 或 target_id 其中之一') if organization_id and target_id: raise ValidationError('organization_id 和 target_id 只能提供其中之一') # 2. 查询所有扫描引擎 engines = [] for engine_id in engine_ids: engine = self.engine_repo.get_by_id(engine_id) if not engine: logger.error("扫描引擎不存在 - Engine ID: %s", engine_id) raise ObjectDoesNotExist(f'ScanEngine ID {engine_id} 不存在') engines.append(engine) # 3. 合并引擎配置（可能抛出 ConfigConflictError） engine_configs = [(e.name, e.configuration or '') for e in engines] merged_configuration = merge_engine_configs(engine_configs) engine_names = [e.name for e in engines] logger.debug( "引擎配置合并成功 - 引擎: %s", ', '.join(engine_names) ) # 4. 根据参数获取目标列表 targets = [] if organization_id: # 根据组织ID获取所有目标 organization = self.organization_repo.get_by_id(organization_id) if not organization: logger.error("组织不存在 - Organization ID: %s", organization_id) raise ObjectDoesNotExist(f'Organization ID {organization_id} 不存在') targets = self.organization_repo.get_targets(organization_id) if not targets: raise ValidationError(f'组织 ID {organization_id} 下没有目标') logger.debug( "准备发起扫描 - 组织: %s, 目标数量: %d, 引擎: %s", organization.name, len(targets), ', '.join(engine_names) ) else: # 根据目标ID获取单个目标 target = self.target_repo.get_by_id(target_id) if not target: logger.error("目标不存在 - Target ID: %s", target_id) raise ObjectDoesNotExist(f'Target ID {target_id} 不存在') targets = [target] logger.debug( "准备发起扫描 - 目标: %s, 引擎: %s", target.name, ', '.join(engine_names) ) return targets, merged_configuration, engine_names, engine_ids def _generate_scan_workspace_dir(self) -> str: """ 生成 Scan 工作空间目录路径 职责： - 生成唯一的 Scan 级别工作空间目录路径字符串 - 不创建实际目录（由 Flow 层负责） Returns: Scan 工作空间目录路径字符串 格式：{SCAN_RESULTS_DIR}/scan_{timestamp}_{uuid8}/ 示例：/data/scans/scan_20231104_152030_a3f2b7e9/ Raises: ValueError: 如果 SCAN_RESULTS_DIR 未设置或为空 Note: 使用秒级时间戳 + 8 位 UUID 确保路径唯一性 冲突概率：同一秒内创建 1000 个扫描，冲突概率 < 0.01% """ timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') unique_id = uuid.uuid4().hex[:8] # 8 位十六进制UUID (4,294,967,296 种可能) # 从 settings 获取，保持配置统一 base_dir = getattr(settings, 'SCAN_RESULTS_DIR', None) if not base_dir: error_msg = "SCAN_RESULTS_DIR 未设置，无法创建扫描工作空间" logger.error(error_msg) raise ValueError(error_msg) scan_workspace_dir = str(Path(base_dir) / f"scan_{timestamp}_{unique_id}") return scan_workspace_dir def create_scans( self, targets: List[Target], engine_ids: List[int], engine_names: List[str], yaml_configuration: str, scheduled_scan_name: str | None = None ) -> List[Scan]: """ 为多个目标批量创建扫描任务，后台异步分发到 Worker Args: targets: 目标列表 engine_ids: 引擎 ID 列表 engine_names: 引擎名称列表 yaml_configuration: YAML 格式的扫描配置 scheduled_scan_name: 定时扫描任务名称（可选，用于通知显示） Returns: 创建的 Scan 对象列表（立即返回，不等待分发完成） 流程： 1. 同步：批量创建 Scan 记录（快速） 2. 异步：后台线程通过 TaskDistributor 分发任务到 Workers """ # 第一步：准备批量创建的数据 scans_to_create = [] for target in targets: try: scan_workspace_dir = self._generate_scan_workspace_dir() scan = Scan( target=target, engine_ids=engine_ids, engine_names=engine_names, yaml_configuration=yaml_configuration, results_dir=scan_workspace_dir, status=ScanStatus.INITIATED, container_ids=[], ) scans_to_create.append(scan) except (ValidationError, ValueError) as e: logger.error( "准备扫描任务数据失败 - Target: %s, 错误: %s", target.name, e ) continue if not scans_to_create: logger.warning("没有需要创建的扫描任务") return [] # 第二步：使用事务批量创建（同步，快速） created_scans = [] try: with transaction.atomic(): created_scans = self.scan_repo.bulk_create(scans_to_create) logger.info("批量创建扫描记录成功 - 数量: %d", len(created_scans)) except (DatabaseError, IntegrityError) as e: logger.exception("数据库错误：批量创建扫描记录失败 - 错误: %s", e) return [] except ValidationError as e: logger.error("验证错误：扫描任务数据无效 - 错误: %s", e) return [] # 第三步：分发任务到 Workers # 使用第一个引擎名称作为显示名称，或者合并显示 display_engine_name = ', '.join(engine_names) if engine_names else '' scan_data = [ { 'scan_id': scan.id, 'target_name': scan.target.name, 'target_id': scan.target.id, 'results_dir': scan.results_dir, 'engine_name': display_engine_name, 'scheduled_scan_name': scheduled_scan_name, } for scan in created_scans ] # 后台线程异步分发（不阻塞 API/调度器） thread = threading.Thread( target=self._distribute_scans_to_workers, args=(scan_data,), daemon=True, ) thread.start() logger.info("扫描任务已创建，后台分发中 - 数量: %d", len(created_scans)) return created_scans def _distribute_scans_to_workers(self, scan_data: List[dict]): """ 后台线程：分发扫描任务到 Workers Args: scan_data: 扫描任务数据列表 """ logger.info("="*60) logger.info("开始分发扫描任务到 Workers - 数量: %d", len(scan_data)) logger.info("="*60) # 后台线程需要新的数据库连接 connection.close() logger.info("已关闭旧数据库连接，准备获取新连接") distributor = get_task_distributor() logger.info("TaskDistributor 初始化完成") scan_repo = DjangoScanRepository() logger.info("ScanRepository 初始化完成") for data in scan_data: scan_id = data['scan_id'] logger.info("-"*40) logger.info("准备分发扫描任务 - Scan ID: %s, Target: %s", scan_id, data['target_name']) try: logger.info("调用 distributor.execute_scan_flow...") success, message, container_id, worker_id = distributor.execute_scan_flow( scan_id=scan_id, target_name=data['target_name'], target_id=data['target_id'], scan_workspace_dir=data['results_dir'], engine_name=data['engine_name'], scheduled_scan_name=data.get('scheduled_scan_name'), ) logger.info( "execute_scan_flow 返回 - success: %s, message: %s, container_id: %s, worker_id: %s", success, message, container_id, worker_id ) if success: if container_id: scan_repo.append_container_id(scan_id, container_id) logger.info("已记录 container_id: %s", container_id) if worker_id: scan_repo.update_worker(scan_id, worker_id) logger.info("已记录 worker_id: %s", worker_id) logger.info( "✓ 扫描任务已提交 - Scan ID: %s, Worker: %s", scan_id, worker_id ) else: logger.error("execute_scan_flow 返回失败 - message: %s", message) raise Exception(message) except Exception as e: logger.error("提交扫描任务失败 - Scan ID: %s, 错误: %s", scan_id, e) logger.exception("详细堆栈:") try: scan_repo.update_status( scan_id, ScanStatus.FAILED, error_message=f'提交任务失败: {e}', ) except (DatabaseError, OperationalError) as save_error: logger.error("更新状态失败 - Scan ID: %s, 错误: %s", scan_id, save_error) # 导出接口 __all__ = ['ScanCreationService'] ================================================ FILE: backend/apps/scan/services/scan_service.py ================================================ """ 扫描任务服务 负责 Scan 模型的所有业务逻辑 """ from __future__ import annotations import logging import uuid from typing import Dict, List, TYPE_CHECKING from datetime import datetime from pathlib import Path from django.conf import settings from django.db import transaction from django.db.utils import DatabaseError, IntegrityError, OperationalError from django.core.exceptions import ValidationError, ObjectDoesNotExist from apps.scan.models import Scan from apps.scan.repositories import DjangoScanRepository from apps.targets.repositories import DjangoTargetRepository, DjangoOrganizationRepository from apps.engine.repositories import DjangoEngineRepository from apps.targets.models import Target from apps.engine.models import ScanEngine from apps.common.definitions import ScanStatus logger = logging.getLogger(__name__) class ScanService: """ 扫描任务服务（协调者） 职责： - 协调各个子服务 - 提供统一的公共接口 - 保持向后兼容 注意： - 具体业务逻辑已拆分到子服务 - 本类主要负责委托和协调 """ # 终态集合：这些状态一旦设置，不应该被覆盖 FINAL_STATUSES = { ScanStatus.COMPLETED, ScanStatus.FAILED, ScanStatus.CANCELLED } def __init__(self): """ 初始化服务 """ # 初始化子服务 from apps.scan.services.scan_creation_service import ScanCreationService from apps.scan.services.scan_state_service import ScanStateService from apps.scan.services.scan_control_service import ScanControlService from apps.scan.services.scan_stats_service import ScanStatsService self.creation_service = ScanCreationService() self.state_service = ScanStateService() self.control_service = ScanControlService() self.stats_service = ScanStatsService() # 保留 ScanRepository（用于 get_scan 方法） self.scan_repo = DjangoScanRepository() def get_scan(self, scan_id: int, prefetch_relations: bool) -> Scan | None: """ 获取扫描任务（包含关联对象） 自动预加载 engine 和 target，避免 N+1 查询问题 Args: scan_id: 扫描任务 ID Returns: Scan 对象（包含 engine 和 target）或 None """ return self.scan_repo.get_by_id(scan_id, prefetch_relations) def get_all_scans(self, prefetch_relations: bool = True): return self.scan_repo.get_all(prefetch_relations=prefetch_relations) def prepare_initiate_scan( self, organization_id: int | None = None, target_id: int | None = None, engine_id: int | None = None ) -> tuple[List[Target], ScanEngine]: """ 为创建扫描任务做准备，返回所需的目标列表和扫描引擎 """ return self.creation_service.prepare_initiate_scan( organization_id, target_id, engine_id ) def prepare_initiate_scan_multi_engine( self, organization_id: int | None = None, target_id: int | None = None, engine_ids: List[int] | None = None ) -> tuple[List[Target], str, List[str], List[int]]: """ 为创建多引擎扫描任务做准备 Returns: (目标列表, 合并配置, 引擎名称列表, 引擎ID列表) """ return self.creation_service.prepare_initiate_scan_multi_engine( organization_id, target_id, engine_ids ) def create_scans( self, targets: List[Target], engine_ids: List[int], engine_names: List[str], yaml_configuration: str, scheduled_scan_name: str | None = None ) -> List[Scan]: """批量创建扫描任务（委托给 ScanCreationService）""" return self.creation_service.create_scans( targets, engine_ids, engine_names, yaml_configuration, scheduled_scan_name ) # ==================== 状态管理方法（委托给 ScanStateService） ==================== def update_status( self, scan_id: int, status: ScanStatus, error_message: str | None = None, stopped_at: datetime | None = None ) -> bool: """更新 Scan 状态（委托给 ScanStateService）""" return self.state_service.update_status( scan_id, status, error_message, stopped_at ) def update_status_if_match( self, scan_id: int, current_status: ScanStatus, new_status: ScanStatus, stopped_at: datetime | None = None ) -> bool: """条件更新 Scan 状态（委托给 ScanStateService）""" return self.state_service.update_status_if_match( scan_id, current_status, new_status, stopped_at ) def update_cached_stats(self, scan_id: int) -> dict | None: """更新缓存统计数据（委托给 ScanStateService），返回统计数据字典""" return self.state_service.update_cached_stats(scan_id) # ==================== 进度跟踪方法（委托给 ScanStateService） ==================== def init_stage_progress(self, scan_id: int, stages: list[str]) -> bool: """初始化阶段进度（委托给 ScanStateService）""" return self.state_service.init_stage_progress(scan_id, stages) def start_stage(self, scan_id: int, stage: str) -> bool: """开始执行某个阶段（委托给 ScanStateService）""" return self.state_service.start_stage(scan_id, stage) def complete_stage(self, scan_id: int, stage: str, detail: str | None = None) -> bool: """完成某个阶段（委托给 ScanStateService）""" return self.state_service.complete_stage(scan_id, stage, detail) def fail_stage(self, scan_id: int, stage: str, error: str | None = None) -> bool: """标记某个阶段失败（委托给 ScanStateService）""" return self.state_service.fail_stage(scan_id, stage, error) def cancel_running_stages(self, scan_id: int, final_status: str = "cancelled") -> bool: """取消所有正在运行的阶段（委托给 ScanStateService）""" return self.state_service.cancel_running_stages(scan_id, final_status) # TODO：待接入 def add_command_to_scan(self, scan_id: int, stage_name: str, tool_name: str, command: str) -> bool: """ 增量添加命令到指定扫描阶段 Args: scan_id: 扫描任务ID stage_name: 阶段名称（如 'subdomain_discovery', 'port_scan'） tool_name: 工具名称 command: 执行命令 Returns: bool: 是否成功添加 """ try: scan = self.get_scan(scan_id, prefetch_relations=False) if not scan: logger.error(f"扫描任务不存在: {scan_id}") return False stage_progress = scan.stage_progress or {} # 确保指定阶段存在 if stage_name not in stage_progress: stage_progress[stage_name] = {'status': 'running', 'commands': []} # 确保 commands 列表存在 if 'commands' not in stage_progress[stage_name]: stage_progress[stage_name]['commands'] = [] # 增量添加命令 command_entry = f"{tool_name}: {command}" stage_progress[stage_name]['commands'].append(command_entry) scan.stage_progress = stage_progress scan.save(update_fields=['stage_progress']) command_count = len(stage_progress[stage_name]['commands']) logger.info(f"✓ 记录命令: {stage_name}.{tool_name} (总计: {command_count})") return True except Exception as e: logger.error(f"记录命令失败: {e}") return False # ==================== 删除和控制方法（委托给 ScanControlService） ==================== def delete_scans_two_phase(self, scan_ids: List[int]) -> dict: """两阶段删除扫描任务（委托给 ScanControlService）""" return self.control_service.delete_scans_two_phase(scan_ids) def stop_scan(self, scan_id: int) -> tuple[bool, int]: """停止扫描任务（委托给 ScanControlService）""" return self.control_service.stop_scan(scan_id) def hard_delete_scans(self, scan_ids: List[int]) -> tuple[int, Dict[str, int]]: """ 硬删除扫描任务（真正删除数据） 用于 Worker 容器中执行，删除已软删除的扫描及其关联数据。 Args: scan_ids: 扫描任务 ID 列表 Returns: (删除数量, 详情字典) """ return self.scan_repo.hard_delete_by_ids(scan_ids) # ==================== 统计方法（委托给 ScanStatsService） ==================== def get_statistics(self) -> dict: """获取扫描统计数据（委托给 ScanStatsService）""" return self.stats_service.get_statistics() # 导出接口 __all__ = ['ScanService'] ================================================ FILE: backend/apps/scan/services/scan_state_service.py ================================================ """ 扫描状态管理服务 职责： - 更新扫描状态 - 条件状态更新（乐观锁） - 更新缓存统计数据 """ import logging from datetime import datetime from django.db.utils import DatabaseError, OperationalError from django.core.exceptions import ObjectDoesNotExist from apps.common.definitions import ScanStatus from apps.scan.repositories import DjangoScanRepository logger = logging.getLogger(__name__) class ScanStateService: """ 扫描状态管理服务 职责： - 更新扫描状态 - 条件状态更新（乐观锁） - 更新缓存统计数据 - 状态验证 """ def __init__(self): """ 初始化服务 """ self.repo = DjangoScanRepository() def update_status( self, scan_id: int, status: ScanStatus, error_message: str | None = None, stopped_at: datetime | None = None ) -> bool: """ 更新 Scan 状态 Args: scan_id: 扫描任务 ID status: 新状态 error_message: 错误消息（可选） stopped_at: 结束时间（可选） Returns: 是否更新成功 Note: created_at 是自动设置的，不需要手动传递 """ try: result = self.repo.update_status( scan_id, status, error_message, stopped_at=stopped_at ) if result: logger.debug( "更新 Scan 状态成功 - Scan ID: %s, 状态: %s", scan_id, ScanStatus(status).label ) return result except (DatabaseError, OperationalError) as e: logger.exception("数据库错误：更新 Scan 状态失败 - Scan ID: %s", scan_id) raise # 数据库错误应该向上传播 except ObjectDoesNotExist: logger.error("Scan 不存在 - Scan ID: %s", scan_id) return False def update_status_if_match( self, scan_id: int, current_status: ScanStatus, new_status: ScanStatus, stopped_at: datetime | None = None ) -> bool: """ 条件更新 Scan 状态（原子操作） 仅当扫描状态匹配 current_status 时才更新为 new_status。 这是一个原子操作，用于处理并发场景下的状态更新。 Args: scan_id: 扫描任务 ID current_status: 当前期望的状态 new_status: 要更新到的新状态 stopped_at: 结束时间（可选） Returns: 是否更新成功（True=更新了记录，False=未更新或状态不匹配） Note: 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 """ try: result = self.repo.update_status_if_match( scan_id=scan_id, current_status=current_status, new_status=new_status, stopped_at=stopped_at ) if result: logger.debug( "条件更新 Scan 状态成功 - Scan ID: %s, %s → %s", scan_id, current_status.value, new_status.value ) return result except (DatabaseError, OperationalError) as e: logger.exception( "数据库错误：条件更新 Scan 状态失败 - Scan ID: %s", scan_id ) raise except Exception as e: logger.error( "条件更新 Scan 状态失败 - Scan ID: %s, 错误: %s", scan_id, e ) return False def update_cached_stats(self, scan_id: int) -> dict | None: """ 更新扫描任务的缓存统计数据 使用 Repository 层进行数据访问，符合分层架构规范 Args: scan_id: 扫描任务 ID Returns: 成功返回统计数据字典，失败返回 None Note: 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 """ try: # 通过 Repository 层更新统计数据 result = self.repo.update_cached_stats(scan_id) if result: logger.debug("更新缓存统计数据成功 - Scan ID: %s", scan_id) return result except (DatabaseError, OperationalError) as e: logger.exception("数据库错误：更新缓存统计数据失败 - Scan ID: %s", scan_id) return None except Exception as e: logger.error("更新缓存统计数据失败 - Scan ID: %s, 错误: %s", scan_id, e) return None def update_progress( self, scan_id: int, progress: int | None = None, current_stage: str | None = None, stage_progress: dict | None = None ) -> bool: """ 更新扫描进度信息 Args: scan_id: 扫描任务 ID progress: 进度百分比 0-100（可选） current_stage: 当前阶段（可选） stage_progress: 各阶段详情（可选） Returns: 是否更新成功 """ try: result = self.repo.update_progress( scan_id, progress=progress, current_stage=current_stage, stage_progress=stage_progress ) if result: logger.debug( "更新扫描进度成功 - Scan ID: %s, stage: %s", scan_id, current_stage ) return result except (DatabaseError, OperationalError) as e: logger.exception("数据库错误：更新扫描进度失败 - Scan ID: %s", scan_id) return False except Exception as e: logger.error("更新扫描进度失败 - Scan ID: %s, 错误: %s", scan_id, e) return False def init_stage_progress(self, scan_id: int, stages: list[str]) -> bool: """ 初始化阶段进度（所有阶段设为 pending） Args: scan_id: 扫描任务 ID stages: 阶段列表，如 ['subdomain_discovery', 'port_scan', ...] 顺序与 engine_config 配置和 Flow 执行顺序一致 Returns: 是否初始化成功 """ stage_progress = { stage: {"status": "pending", "order": idx} for idx, stage in enumerate(stages) } return self.update_progress( scan_id, progress=0, stage_progress=stage_progress ) def start_stage(self, scan_id: int, stage: str) -> bool: """ 开始执行某个阶段 Args: scan_id: 扫描任务 ID stage: 阶段名称 Returns: 是否更新成功 """ from datetime import datetime # 从数据库获取当前进度状态 scan = self.repo.get_by_id(scan_id) if not scan: logger.warning(f"start_stage: Scan not found - ID: {scan_id}") return False stage_progress = scan.stage_progress or {} # 保留原有的 order 字段 existing = stage_progress.get(stage, {}) order = existing.get("order", 0) # 如果阶段已经是 cancelled 状态，不要启动 if existing.get("status") == "cancelled": logger.info(f"start_stage: 阶段已取消，跳过 - Scan ID: {scan_id}, Stage: {stage}") return True stage_progress[stage] = { "status": "running", "order": order, "started_at": datetime.now().isoformat() } # 计算进度百分比 total_stages = len(stage_progress) completed = sum(1 for s in stage_progress.values() if s.get("status") == "completed") progress = int((completed / total_stages) * 100) if total_stages > 0 else 0 return self.update_progress( scan_id, progress=progress, current_stage=stage, stage_progress=stage_progress ) def complete_stage( self, scan_id: int, stage: str, detail: str | None = None ) -> bool: """ 完成某个阶段 Args: scan_id: 扫描任务 ID stage: 阶段名称 detail: 完成详情（可选） Returns: 是否更新成功 """ from datetime import datetime # 从数据库获取当前进度状态 scan = self.repo.get_by_id(scan_id) if not scan: logger.warning(f"complete_stage: Scan not found - ID: {scan_id}") return False stage_progress = scan.stage_progress or {} existing = stage_progress.get(stage, {}) order = existing.get("order", 0) started_at = existing.get("started_at") # 如果阶段已经是 cancelled 状态，不要覆盖为 completed if existing.get("status") == "cancelled": logger.info(f"complete_stage: 阶段已取消，跳过 - Scan ID: {scan_id}, Stage: {stage}") return True duration = 0 # 默认 0，避免 null if started_at: try: start_time = datetime.fromisoformat(started_at) duration = int((datetime.now() - start_time).total_seconds()) except (ValueError, TypeError): logger.warning(f"complete_stage: 无法解析 started_at - Stage: {stage}, Value: {started_at}") else: logger.error(f"complete_stage: started_at 缺失 - Scan ID: {scan_id}, Stage: {stage}") stage_progress[stage] = { "status": "completed", "order": order, "duration": duration, } if detail: stage_progress[stage]["detail"] = detail # 计算进度百分比 total_stages = len(stage_progress) completed = sum(1 for s in stage_progress.values() if s.get("status") == "completed") progress = int((completed / total_stages) * 100) if total_stages > 0 else 0 # 如果全部完成，进度设为 100 if completed == total_stages: progress = 100 return self.update_progress( scan_id, progress=progress, current_stage="" if completed == total_stages else stage, stage_progress=stage_progress ) def fail_stage( self, scan_id: int, stage: str, error: str | None = None ) -> bool: """ 标记某个阶段失败 Args: scan_id: 扫描任务 ID stage: 阶段名称 error: 错误信息（可选） Returns: 是否更新成功 """ # 从数据库获取当前进度状态 scan = self.repo.get_by_id(scan_id) if not scan: logger.warning(f"fail_stage: Scan not found - ID: {scan_id}") return False stage_progress = scan.stage_progress or {} # 保留原有的 order 字段 existing = stage_progress.get(stage, {}) order = existing.get("order", 0) # 如果阶段已经是 cancelled 状态，不要覆盖为 failed # （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） if existing.get("status") == "cancelled": logger.info(f"fail_stage: 阶段已取消，跳过 - Scan ID: {scan_id}, Stage: {stage}") return True stage_progress[stage] = { "status": "failed", "order": order, "error": error } return self.update_progress( scan_id, current_stage=stage, stage_progress=stage_progress ) def cancel_running_stages(self, scan_id: int, final_status: str = "cancelled") -> bool: """ 标记所有未完成的阶段（扫描被取消时调用） 将所有 running 状态的阶段标记为 final_status， 将所有 pending 状态的阶段标记为 skipped Args: scan_id: 扫描任务 ID final_status: running 阶段的最终状态 Returns: 是否更新成功 """ try: scan = self.repo.get_by_id(scan_id) if not scan or not scan.stage_progress: return False stage_progress = scan.stage_progress updated = False for stage, info in stage_progress.items(): status = info.get("status") order = info.get("order", 0) if status == "running": # 正在运行的阶段标记为 final_status stage_progress[stage] = { "status": final_status, "order": order, } updated = True elif status == "pending": # 未开始的阶段统一标记为 cancelled stage_progress[stage] = { "status": "cancelled", "order": order, } updated = True if updated: self.update_progress( scan_id, current_stage="", stage_progress=stage_progress ) return True except Exception as e: logger.error("取消阶段进度失败 - Scan ID: %s, 错误: %s", scan_id, e) return False # 导出接口 __all__ = ['ScanStateService'] ================================================ FILE: backend/apps/scan/services/scan_stats_service.py ================================================ """ 扫描统计服务 职责： - 获取扫描统计数据 - 数据聚合查询 """ import logging from django.db.utils import DatabaseError, OperationalError from apps.scan.repositories import DjangoScanRepository logger = logging.getLogger(__name__) class ScanStatsService: """ 扫描统计服务 职责： - 统计数据查询 - 数据聚合 """ def __init__(self): """ 初始化服务 """ self.scan_repo = DjangoScanRepository() def get_statistics(self) -> dict: """ 获取扫描任务统计数据 Returns: 统计数据字典 Raises: DatabaseError: 数据库错误 Note: 使用 Repository 层的聚合查询，性能优异 """ try: statistics = self.scan_repo.get_statistics() logger.debug("获取扫描统计数据成功 - 总数: %d", statistics['total']) return statistics except (DatabaseError, OperationalError) as e: logger.exception("数据库错误：获取扫描统计数据失败") raise # 导出接口 __all__ = ['ScanStatsService'] ================================================ FILE: backend/apps/scan/services/scheduled_scan_service.py ================================================ """ 定时扫描任务 Service 业务逻辑层： - 管理定时扫描任务的 CRUD - 计算下次执行时间 - APScheduler 会每分钟检查 next_run_time，到期任务通过 task_distributor 分发 """ import logging from typing import List, Optional, Tuple from datetime import datetime from django.core.exceptions import ValidationError from apps.scan.models import ScheduledScan from apps.scan.repositories import DjangoScheduledScanRepository, ScheduledScanDTO from apps.scan.utils.config_merger import merge_engine_configs, ConfigConflictError from apps.engine.repositories import DjangoEngineRepository from apps.targets.services import TargetService logger = logging.getLogger(__name__) class ScheduledScanService: """ 定时扫描任务服务 职责： - 定时扫描任务的 CRUD 操作 - 调度逻辑处理（基于 next_run_time） """ def __init__(self): self.repo = DjangoScheduledScanRepository() self.engine_repo = DjangoEngineRepository() self.target_service = TargetService() # ==================== 查询方法 ==================== def get_by_id(self, scheduled_scan_id: int) -> Optional[ScheduledScan]: """根据 ID 获取定时扫描任务""" return self.repo.get_by_id(scheduled_scan_id) def get_queryset(self): """获取所有定时扫描任务的查询集""" return self.repo.get_queryset() def get_all(self, page: int = 1, page_size: int = 10) -> Tuple[List[ScheduledScan], int]: """分页获取所有定时扫描任务""" return self.repo.get_all(page, page_size) # ==================== 创建方法 ==================== def create(self, dto: ScheduledScanDTO) -> ScheduledScan: """ 创建定时扫描任务（使用引擎 ID 合并配置） 流程： 1. 验证参数 2. 合并引擎配置 3. 创建数据库记录 4. 计算并设置 next_run_time Args: dto: 定时扫描 DTO Returns: 创建的 ScheduledScan 对象 Raises: ValidationError: 参数验证失败 ConfigConflictError: 引擎配置冲突 """ # 1. 验证参数 self._validate_create_dto(dto) # 2. 合并引擎配置 engines = [] engine_names = [] for engine_id in dto.engine_ids: engine = self.engine_repo.get_by_id(engine_id) if engine: engines.append((engine.name, engine.configuration or '')) engine_names.append(engine.name) merged_configuration = merge_engine_configs(engines) # 设置 DTO 的合并配置和引擎名称 dto.engine_names = engine_names dto.yaml_configuration = merged_configuration # 3. 创建数据库记录 scheduled_scan = self.repo.create(dto) # 4. 如果有 cron 表达式且已启用，计算下次执行时间 if scheduled_scan.cron_expression and scheduled_scan.is_enabled: next_run_time = self._calculate_next_run_time(scheduled_scan) if next_run_time: self.repo.update_next_run_time(scheduled_scan.id, next_run_time) scheduled_scan.next_run_time = next_run_time logger.info( "创建定时扫描任务 - ID: %s, 名称: %s, 下次执行: %s", scheduled_scan.id, scheduled_scan.name, scheduled_scan.next_run_time ) return scheduled_scan def create_with_configuration(self, dto: ScheduledScanDTO) -> ScheduledScan: """ 创建定时扫描任务（直接使用前端传递的配置） 流程： 1. 验证参数 2. 直接使用 dto.yaml_configuration 3. 创建数据库记录 4. 计算并设置 next_run_time Args: dto: 定时扫描 DTO（必须包含 yaml_configuration） Returns: 创建的 ScheduledScan 对象 Raises: ValidationError: 参数验证失败 """ # 1. 验证参数 self._validate_create_dto_with_configuration(dto) # 2. 创建数据库记录（直接使用 dto 中的配置） scheduled_scan = self.repo.create(dto) # 3. 如果有 cron 表达式且已启用，计算下次执行时间 if scheduled_scan.cron_expression and scheduled_scan.is_enabled: next_run_time = self._calculate_next_run_time(scheduled_scan) if next_run_time: self.repo.update_next_run_time(scheduled_scan.id, next_run_time) scheduled_scan.next_run_time = next_run_time logger.info( "创建定时扫描任务 - ID: %s, 名称: %s, 下次执行: %s", scheduled_scan.id, scheduled_scan.name, scheduled_scan.next_run_time ) return scheduled_scan def _validate_create_dto(self, dto: ScheduledScanDTO) -> None: """验证创建 DTO（使用引擎 ID）""" # 基础验证 self._validate_base_dto(dto) if not dto.engine_ids: raise ValidationError('必须选择扫描引擎') # 验证所有引擎是否存在 for engine_id in dto.engine_ids: if not self.engine_repo.get_by_id(engine_id): raise ValidationError(f'扫描引擎 ID {engine_id} 不存在') def _validate_create_dto_with_configuration(self, dto: ScheduledScanDTO) -> None: """验证创建 DTO（使用前端传递的配置）""" # 基础验证 self._validate_base_dto(dto) if not dto.yaml_configuration: raise ValidationError('配置不能为空') def _validate_base_dto(self, dto: ScheduledScanDTO) -> None: """验证 DTO 的基础字段（公共逻辑）""" from apps.targets.repositories import DjangoOrganizationRepository if not dto.name: raise ValidationError('任务名称不能为空') # 验证扫描模式（organization_id 和 target_id 互斥） if not dto.organization_id and not dto.target_id: raise ValidationError('必须选择组织或扫描目标') if dto.organization_id and dto.target_id: raise ValidationError('组织扫描和目标扫描只能选择其中一种') # 组织扫描模式：验证组织是否存在 if dto.organization_id: org_repo = DjangoOrganizationRepository() if not org_repo.get_by_id(dto.organization_id): raise ValidationError(f'组织 ID {dto.organization_id} 不存在') # 目标扫描模式：验证目标是否存在 if dto.target_id: if not self.target_service.get_by_id(dto.target_id): raise ValidationError(f'目标 ID {dto.target_id} 不存在') # 验证 cron 表达式格式（简单校验） if dto.cron_expression: parts = dto.cron_expression.split() if len(parts) != 5: raise ValidationError('Cron 表达式格式错误，需要 5 个部分：分 时 日 月 周') # ==================== 更新方法 ==================== def update(self, scheduled_scan_id: int, dto: ScheduledScanDTO) -> Optional[ScheduledScan]: """ 更新定时扫描任务 Args: scheduled_scan_id: 定时扫描 ID dto: 更新的数据 Returns: 更新后的 ScheduledScan 对象 Raises: ConfigConflictError: 引擎配置冲突 """ existing = self.repo.get_by_id(scheduled_scan_id) if not existing: return None # 如果引擎变更，重新合并配置 if dto.engine_ids is not None: engines = [] engine_names = [] for engine_id in dto.engine_ids: engine = self.engine_repo.get_by_id(engine_id) if engine: engines.append((engine.name, engine.configuration or '')) engine_names.append(engine.name) merged_configuration = merge_engine_configs(engines) dto.engine_names = engine_names dto.yaml_configuration = merged_configuration # 更新数据库记录 scheduled_scan = self.repo.update(scheduled_scan_id, dto) if not scheduled_scan: return None # 如果 cron 表达式或启用状态变化，重新计算 next_run_time cron_changed = dto.cron_expression is not None and dto.cron_expression != existing.cron_expression enabled_changed = dto.is_enabled is not None and dto.is_enabled != existing.is_enabled if cron_changed or enabled_changed: if scheduled_scan.is_enabled and scheduled_scan.cron_expression: next_run_time = self._calculate_next_run_time(scheduled_scan) self.repo.update_next_run_time(scheduled_scan.id, next_run_time) scheduled_scan.next_run_time = next_run_time else: # 禁用或无 cron 表达式，清空下次执行时间 self.repo.update_next_run_time(scheduled_scan.id, None) scheduled_scan.next_run_time = None return scheduled_scan # ==================== 启用/禁用方法 ==================== def toggle_enabled(self, scheduled_scan_id: int, enabled: bool) -> bool: """ 切换定时扫描任务的启用状态 Args: scheduled_scan_id: 定时扫描 ID enabled: 是否启用 Returns: 是否成功 """ scheduled_scan = self.repo.get_by_id(scheduled_scan_id) if not scheduled_scan: return False # 更新数据库 if not self.repo.toggle_enabled(scheduled_scan_id, enabled): return False # 更新 next_run_time if enabled and scheduled_scan.cron_expression: next_run_time = self._calculate_next_run_time(scheduled_scan) self.repo.update_next_run_time(scheduled_scan_id, next_run_time) else: self.repo.update_next_run_time(scheduled_scan_id, None) logger.info("切换定时扫描状态 - ID: %s, Enabled: %s", scheduled_scan_id, enabled) return True def record_run(self, scheduled_scan_id: int) -> bool: """ 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） Args: scheduled_scan_id: 定时扫描 ID Returns: 是否成功 """ # 1. 增加执行次数并更新上次执行时间 if not self.repo.increment_run_count(scheduled_scan_id): return False # 2. 计算并更新下次执行时间 scheduled_scan = self.repo.get_by_id(scheduled_scan_id) if scheduled_scan and scheduled_scan.cron_expression: next_run_time = self._calculate_next_run_time(scheduled_scan) if next_run_time: self.repo.update_next_run_time(scheduled_scan_id, next_run_time) return True # ==================== 删除方法 ==================== def delete(self, scheduled_scan_id: int) -> bool: """ 删除定时扫描任务 Args: scheduled_scan_id: 定时扫描 ID Returns: 是否成功 """ return self.repo.hard_delete(scheduled_scan_id) # ==================== 定时触发（APScheduler 调用）==================== def trigger_due_scans(self) -> int: """ 检查并触发所有到期的定时扫描任务 由 APScheduler 每分钟调用一次，检查 next_run_time <= now 的任务 Returns: 触发的任务数量 """ from django.utils import timezone from croniter import croniter now = timezone.now() triggered_count = 0 # 获取所有启用且到期的定时扫描 due_scans = ScheduledScan.objects.filter( is_enabled=True, next_run_time__lte=now, ) for scheduled_scan in due_scans: try: # 1. 先计算并更新下次执行时间（防止重复触发） # 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 cron = croniter(scheduled_scan.cron_expression, now) next_run = cron.get_next(datetime) self.repo.update_next_run_time(scheduled_scan.id, next_run) # 2. 触发扫描 self._trigger_scan_now(scheduled_scan) # 3. 更新执行记录（run_count + 1, last_run_time = now） self.repo.increment_run_count(scheduled_scan.id) triggered_count += 1 logger.info( "定时扫描已触发 - ID: %s, 名称: %s, 下次执行: %s", scheduled_scan.id, scheduled_scan.name, next_run ) except Exception as e: logger.error( "定时扫描触发失败 - ID: %s, Error: %s", scheduled_scan.id, e ) # 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 # 这是合理的行为：避免失败任务被无限重试 return triggered_count # ==================== 内部方法 ==================== def _trigger_scan_now(self, scheduled_scan: ScheduledScan) -> int: """ 立即触发扫描（支持组织扫描和目标扫描两种模式） 复用 ScanService 的逻辑，与 API 调用保持一致。 使用存储的 yaml_configuration 而不是重新合并。 """ from apps.scan.services.scan_service import ScanService scan_service = ScanService() # 1. 准备扫描所需数据（使用存储的多引擎配置） targets, _, _, _ = scan_service.prepare_initiate_scan_multi_engine( organization_id=scheduled_scan.organization_id, target_id=scheduled_scan.target_id, engine_ids=scheduled_scan.engine_ids ) # 2. 创建扫描任务，使用存储的合并配置 created_scans = scan_service.create_scans( targets=targets, engine_ids=scheduled_scan.engine_ids, engine_names=scheduled_scan.engine_names, yaml_configuration=scheduled_scan.yaml_configuration, scheduled_scan_name=scheduled_scan.name ) logger.info( "定时扫描已触发 - ScheduledScan ID: %s, 创建扫描数: %d", scheduled_scan.id, len(created_scans) ) return len(created_scans) # ==================== 辅助方法 ==================== def _calculate_next_run_time(self, scheduled_scan: ScheduledScan) -> Optional[datetime]: """ 计算下次执行时间 Args: scheduled_scan: 定时扫描对象 Returns: 下次执行时间，once 类型返回 None """ from croniter import croniter from django.utils import timezone cron_expr = scheduled_scan.cron_expression if not cron_expr: return None try: cron = croniter(cron_expr, timezone.now()) return cron.get_next(datetime) except Exception as e: logger.error("计算下次执行时间失败: %s", e) return None ================================================ FILE: backend/apps/scan/services/subfinder_provider_config_service.py ================================================ """Subfinder Provider 配置文件生成服务 负责生成 subfinder 的 provider-config.yaml 配置文件 """ import logging import os from pathlib import Path from typing import Optional import yaml from ..models import SubfinderProviderSettings logger = logging.getLogger(__name__) class SubfinderProviderConfigService: """Subfinder Provider 配置文件生成服务""" # Provider 格式定义 PROVIDER_FORMATS = { 'fofa': {'type': 'composite', 'format': '{email}:{api_key}'}, 'censys': {'type': 'composite', 'format': '{api_id}:{api_secret}'}, 'hunter': {'type': 'single', 'field': 'api_key'}, 'shodan': {'type': 'single', 'field': 'api_key'}, 'zoomeye': {'type': 'single', 'field': 'api_key'}, 'securitytrails': {'type': 'single', 'field': 'api_key'}, 'threatbook': {'type': 'single', 'field': 'api_key'}, 'quake': {'type': 'single', 'field': 'api_key'}, } def generate(self, output_dir: str) -> Optional[str]: """ 生成 provider-config.yaml 文件 Args: output_dir: 输出目录路径 Returns: 生成的配置文件路径，如果没有启用的 provider 则返回 None """ settings = SubfinderProviderSettings.get_instance() config = {} has_enabled = False for provider, format_info in self.PROVIDER_FORMATS.items(): provider_config = settings.providers.get(provider, {}) if not provider_config.get('enabled'): config[provider] = [] continue value = self._build_provider_value(provider, provider_config) if value: config[provider] = [value] # 单个 key 放入数组 has_enabled = True logger.debug(f"Provider {provider} 已启用") else: config[provider] = [] # 检查是否有任何启用的 provider if not has_enabled: logger.info("没有启用的 Provider，跳过配置文件生成") return None # 确保输出目录存在 output_path = Path(output_dir) / 'provider-config.yaml' output_path.parent.mkdir(parents=True, exist_ok=True) # 写入 YAML 文件（使用默认列表格式，和 subfinder 一致） with open(output_path, 'w', encoding='utf-8') as f: yaml.dump(config, f, default_flow_style=False, allow_unicode=True) # 设置文件权限为 600（仅所有者可读写） os.chmod(output_path, 0o600) logger.info(f"Provider 配置文件已生成: {output_path}") return str(output_path) def _build_provider_value(self, provider: str, config: dict) -> Optional[str]: """根据 provider 格式规则构建配置值 Args: provider: provider 名称 config: provider 配置字典 Returns: 构建的配置值字符串，如果配置不完整则返回 None """ format_info = self.PROVIDER_FORMATS.get(provider) if not format_info: return None if format_info['type'] == 'composite': # 复合格式：需要多个字段 format_str = format_info['format'] try: # 提取格式字符串中的字段名 # 例如 '{email}:{api_key}' -> ['email', 'api_key'] import re fields = re.findall(r'\{(\w+)\}', format_str) # 检查所有字段是否都有值 values = {} for field in fields: value = config.get(field, '').strip() if not value: logger.debug(f"Provider {provider} 缺少字段 {field}") return None values[field] = value return format_str.format(**values) except (KeyError, ValueError) as e: logger.warning(f"构建 {provider} 配置值失败: {e}") return None else: # 单字段格式 field = format_info['field'] value = config.get(field, '').strip() if not value: logger.debug(f"Provider {provider} 缺少字段 {field}") return None return value def cleanup(self, config_path: str) -> None: """清理配置文件 Args: config_path: 配置文件路径 """ try: if config_path and Path(config_path).exists(): Path(config_path).unlink() logger.debug(f"已清理配置文件: {config_path}") except Exception as e: logger.warning(f"清理配置文件失败: {config_path} - {e}") ================================================ FILE: backend/apps/scan/services/target_export_service.py ================================================ """ 目标导出服务 提供统一的目标提取和文件导出功能，支持： - URL 导出（纯导出，不做隐式回退） - 默认 URL 生成（独立方法） - 带回退链的 URL 导出（用例层编排） - 域名/IP 导出（用于端口扫描） - 黑名单过滤集成 """ import ipaddress import logging from pathlib import Path from typing import Dict, Any, Optional, List, Iterator, Tuple from django.db.models import QuerySet from apps.common.utils import BlacklistFilter logger = logging.getLogger(__name__) class DataSource: """数据源类型常量""" ENDPOINT = "endpoint" WEBSITE = "website" HOST_PORT = "host_port" DEFAULT = "default" def create_export_service(target_id: int) -> 'TargetExportService': """ 工厂函数：创建带黑名单过滤的导出服务 Args: target_id: 目标 ID，用于加载黑名单规则 Returns: TargetExportService: 配置好黑名单过滤器的导出服务实例 """ from apps.common.services import BlacklistService rules = BlacklistService().get_rules(target_id) blacklist_filter = BlacklistFilter(rules) return TargetExportService(blacklist_filter=blacklist_filter) def _iter_default_urls_from_target( target_id: int, blacklist_filter: Optional[BlacklistFilter] = None ) -> Iterator[str]: """ 内部生成器：从 Target 本身生成默认 URL 根据 Target 类型生成 URL： - DOMAIN: http(s)://domain - IP: http(s)://ip - CIDR: 展开为所有 IP 的 http(s)://ip - URL: 直接使用目标 URL Args: target_id: 目标 ID blacklist_filter: 黑名单过滤器 Yields: str: URL """ from apps.targets.services import TargetService from apps.targets.models import Target target_service = TargetService() target = target_service.get_target(target_id) if not target: logger.warning("Target ID %d 不存在，无法生成默认 URL", target_id) return target_name = target.name target_type = target.type # 根据 Target 类型生成 URL if target_type == Target.TargetType.DOMAIN: urls = [f"http://{target_name}", f"https://{target_name}"] elif target_type == Target.TargetType.IP: urls = [f"http://{target_name}", f"https://{target_name}"] elif target_type == Target.TargetType.CIDR: try: network = ipaddress.ip_network(target_name, strict=False) urls = [] for ip in network.hosts(): urls.extend([f"http://{ip}", f"https://{ip}"]) # /32 或 /128 特殊处理 if not urls: ip = str(network.network_address) urls = [f"http://{ip}", f"https://{ip}"] except ValueError as e: logger.error("CIDR 解析失败: %s - %s", target_name, e) return elif target_type == Target.TargetType.URL: urls = [target_name] else: logger.warning("不支持的 Target 类型: %s", target_type) return # 过滤并产出 for url in urls: if blacklist_filter and not blacklist_filter.is_allowed(url): continue yield url def _iter_urls_with_fallback( target_id: int, sources: List[str], blacklist_filter: Optional[BlacklistFilter] = None, batch_size: int = 1000, tried_sources: Optional[List[str]] = None ) -> Iterator[Tuple[str, str]]: """ 内部生成器：流式产出 URL（带回退链） 按 sources 顺序尝试每个数据源，直到有数据返回。 回退逻辑： - 数据源有数据且通过过滤 → 产出 URL，停止回退 - 数据源有数据但全被过滤 → 不回退，停止（避免意外暴露） - 数据源为空 → 继续尝试下一个 Args: target_id: 目标 ID sources: 数据源优先级列表 blacklist_filter: 黑名单过滤器 batch_size: 批次大小 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） Yields: Tuple[str, str]: (url, source) - URL 和来源标识 """ from apps.asset.models import Endpoint, WebSite for source in sources: if tried_sources is not None: tried_sources.append(source) has_output = False # 是否有输出（通过过滤的） has_raw_data = False # 是否有原始数据（过滤前） if source == DataSource.DEFAULT: # 默认 URL 生成（从 Target 本身构造，复用共用生成器） for url in _iter_default_urls_from_target(target_id, blacklist_filter): has_raw_data = True has_output = True yield url, source # 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） if not has_raw_data: # 再次检查 Target 是否存在 from apps.targets.services import TargetService target = TargetService().get_target(target_id) has_raw_data = target is not None if has_raw_data: if not has_output: logger.info("%s 有数据但全被黑名单过滤，不回退", source) return continue # 构建对应数据源的 queryset if source == DataSource.ENDPOINT: queryset = Endpoint.objects.filter(target_id=target_id).values_list('url', flat=True) elif source == DataSource.WEBSITE: queryset = WebSite.objects.filter(target_id=target_id).values_list('url', flat=True) else: logger.warning("未知的数据源类型: %s，跳过", source) continue for url in queryset.iterator(chunk_size=batch_size): if url: has_raw_data = True if blacklist_filter and not blacklist_filter.is_allowed(url): continue has_output = True yield url, source # 有原始数据就停止（不管是否被过滤） if has_raw_data: if not has_output: logger.info("%s 有数据但全被黑名单过滤，不回退", source) return logger.info("%s 为空，尝试下一个数据源", source) def get_urls_with_fallback( target_id: int, sources: List[str], batch_size: int = 1000 ) -> Dict[str, Any]: """ 带回退链的 URL 获取用例函数（返回列表） 按 sources 顺序尝试每个数据源，直到有数据返回。 Args: target_id: 目标 ID sources: 数据源优先级列表，如 ["website", "endpoint", "default"] batch_size: 批次大小 Returns: dict: { 'success': bool, 'urls': List[str], 'total_count': int, 'source': str, # 实际使用的数据源 'tried_sources': List[str], # 尝试过的数据源 } """ from apps.common.services import BlacklistService rules = BlacklistService().get_rules(target_id) blacklist_filter = BlacklistFilter(rules) urls = [] actual_source = 'none' tried_sources = [] for url, source in _iter_urls_with_fallback(target_id, sources, blacklist_filter, batch_size, tried_sources): urls.append(url) actual_source = source if urls: logger.info("从 %s 获取 %d 条 URL", actual_source, len(urls)) else: logger.warning("所有数据源都为空，无法获取 URL") return { 'success': True, 'urls': urls, 'total_count': len(urls), 'source': actual_source, 'tried_sources': tried_sources, } def export_urls_with_fallback( target_id: int, output_file: str, sources: List[str], batch_size: int = 1000 ) -> Dict[str, Any]: """ 带回退链的 URL 导出用例函数（写入文件） 按 sources 顺序尝试每个数据源，直到有数据返回。 流式写入，内存占用 O(1)。 Args: target_id: 目标 ID output_file: 输出文件路径 sources: 数据源优先级列表，如 ["endpoint", "website", "default"] batch_size: 批次大小 Returns: dict: { 'success': bool, 'output_file': str, 'total_count': int, 'source': str, # 实际使用的数据源 'tried_sources': List[str], # 尝试过的数据源 } """ from apps.common.services import BlacklistService rules = BlacklistService().get_rules(target_id) blacklist_filter = BlacklistFilter(rules) output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) total_count = 0 actual_source = 'none' tried_sources = [] with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for url, source in _iter_urls_with_fallback(target_id, sources, blacklist_filter, batch_size, tried_sources): f.write(f"{url}\n") total_count += 1 actual_source = source if total_count % 10000 == 0: logger.info("已导出 %d 个 URL...", total_count) if total_count > 0: logger.info("从 %s 导出 %d 条 URL 到 %s", actual_source, total_count, output_file) else: logger.warning("所有数据源都为空，无法导出 URL") return { 'success': True, 'output_file': str(output_path), 'total_count': total_count, 'source': actual_source, 'tried_sources': tried_sources, } class TargetExportService: """ 目标导出服务 - 提供统一的目标提取和文件导出功能 使用方式： # 方式 1：使用用例函数（推荐） from apps.scan.services.target_export_service import export_urls_with_fallback, DataSource result = export_urls_with_fallback( target_id=1, output_file='/path/to/output.txt', sources=[DataSource.ENDPOINT, DataSource.WEBSITE, DataSource.DEFAULT] ) # 方式 2：直接使用 Service（纯导出，不带回退） export_service = create_export_service(target_id) result = export_service.export_urls(target_id, output_path, queryset) """ def __init__(self, blacklist_filter: Optional[BlacklistFilter] = None): """ 初始化导出服务 Args: blacklist_filter: 黑名单过滤器，None 表示禁用过滤 """ self.blacklist_filter = blacklist_filter def export_urls( self, target_id: int, output_path: str, queryset: QuerySet, url_field: str = 'url', batch_size: int = 1000 ) -> Dict[str, Any]: """ 纯 URL 导出函数 - 只负责将 queryset 数据写入文件 不做任何隐式回退或默认 URL 生成。 Args: target_id: 目标 ID output_path: 输出文件路径 queryset: 数据源 queryset（由调用方构建，应为 values_list flat=True） url_field: URL 字段名（用于黑名单过滤） batch_size: 批次大小 Returns: dict: { 'success': bool, 'output_file': str, 'total_count': int, # 实际写入数量 'queryset_count': int, # 原始数据数量（迭代计数） 'filtered_count': int, # 被黑名单过滤的数量 } Raises: IOError: 文件写入失败 """ output_file = Path(output_path) output_file.parent.mkdir(parents=True, exist_ok=True) logger.info("开始导出 URL - target_id=%s, output=%s", target_id, output_path) total_count = 0 filtered_count = 0 queryset_count = 0 try: with open(output_file, 'w', encoding='utf-8', buffering=8192) as f: for url in queryset.iterator(chunk_size=batch_size): queryset_count += 1 if url: # 黑名单过滤 if self.blacklist_filter and not self.blacklist_filter.is_allowed(url): filtered_count += 1 continue f.write(f"{url}\n") total_count += 1 if total_count % 10000 == 0: logger.info("已导出 %d 个 URL...", total_count) except IOError as e: logger.error("文件写入失败: %s - %s", output_path, e) raise if filtered_count > 0: logger.info("黑名单过滤: 过滤 %d 个 URL", filtered_count) logger.info( "✓ URL 导出完成 - 写入: %d, 原始: %d, 过滤: %d, 文件: %s", total_count, queryset_count, filtered_count, output_path ) return { 'success': True, 'output_file': str(output_file), 'total_count': total_count, 'queryset_count': queryset_count, 'filtered_count': filtered_count, } def generate_default_urls( self, target_id: int, output_path: str ) -> Dict[str, Any]: """ 默认 URL 生成器 根据 Target 类型生成默认 URL： - DOMAIN: http(s)://domain - IP: http(s)://ip - CIDR: 展开为所有 IP 的 http(s)://ip - URL: 直接使用目标 URL Args: target_id: 目标 ID output_path: 输出文件路径 Returns: dict: { 'success': bool, 'output_file': str, 'total_count': int, } """ output_file = Path(output_path) output_file.parent.mkdir(parents=True, exist_ok=True) logger.info("生成默认 URL - target_id=%d", target_id) total_urls = 0 with open(output_file, 'w', encoding='utf-8', buffering=8192) as f: for url in _iter_default_urls_from_target(target_id, self.blacklist_filter): f.write(f"{url}\n") total_urls += 1 if total_urls % 10000 == 0: logger.info("已生成 %d 个 URL...", total_urls) logger.info("✓ 默认 URL 生成完成 - 数量: %d", total_urls) return { 'success': True, 'output_file': str(output_file), 'total_count': total_urls, } def export_hosts( self, target_id: int, output_path: str, batch_size: int = 1000 ) -> Dict[str, Any]: """ 主机列表导出函数（用于端口扫描） 根据 Target 类型选择导出逻辑： - DOMAIN: 从 Subdomain 表流式导出子域名 - IP: 直接写入 IP 地址 - CIDR: 展开为所有主机 IP Args: target_id: 目标 ID output_path: 输出文件路径 batch_size: 批次大小 Returns: dict: { 'success': bool, 'output_file': str, 'total_count': int, 'target_type': str } """ from apps.targets.services import TargetService from apps.targets.models import Target output_file = Path(output_path) output_file.parent.mkdir(parents=True, exist_ok=True) # 获取 Target 信息 target_service = TargetService() target = target_service.get_target(target_id) if not target: raise ValueError(f"Target ID {target_id} 不存在") target_type = target.type target_name = target.name logger.info( "开始导出主机列表 - Target ID: %d, Name: %s, Type: %s, 输出文件: %s", target_id, target_name, target_type, output_path ) total_count = 0 if target_type == Target.TargetType.DOMAIN: total_count = self._export_domains(target_id, target_name, output_file, batch_size) type_desc = "域名" elif target_type == Target.TargetType.IP: total_count = self._export_ip(target_name, output_file) type_desc = "IP" elif target_type == Target.TargetType.CIDR: total_count = self._export_cidr(target_name, output_file) type_desc = "CIDR IP" else: raise ValueError(f"不支持的目标类型: {target_type}") logger.info( "✓ 主机列表导出完成 - 类型: %s, 总数: %d, 文件: %s", type_desc, total_count, output_path ) return { 'success': True, 'output_file': str(output_file), 'total_count': total_count, 'target_type': target_type } def _export_domains( self, target_id: int, target_name: str, output_path: Path, batch_size: int ) -> int: """导出域名类型目标的根域名 + 子域名""" from apps.asset.services.asset.subdomain_service import SubdomainService subdomain_service = SubdomainService() domain_iterator = subdomain_service.iter_subdomain_names_by_target( target_id=target_id, chunk_size=batch_size ) total_count = 0 written_domains = set() # 去重（子域名表可能已包含根域名） with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: # 1. 先写入根域名 if self._should_write_target(target_name): f.write(f"{target_name}\n") written_domains.add(target_name) total_count += 1 # 2. 再写入子域名（跳过已写入的根域名） for domain_name in domain_iterator: if domain_name in written_domains: continue if self._should_write_target(domain_name): f.write(f"{domain_name}\n") written_domains.add(domain_name) total_count += 1 if total_count % 10000 == 0: logger.info("已导出 %d 个域名...", total_count) return total_count def _export_ip(self, target_name: str, output_path: Path) -> int: """导出 IP 类型目标""" if self._should_write_target(target_name): with open(output_path, 'w', encoding='utf-8') as f: f.write(f"{target_name}\n") return 1 return 0 def _export_cidr(self, target_name: str, output_path: Path) -> int: """导出 CIDR 类型目标，展开为每个 IP""" network = ipaddress.ip_network(target_name, strict=False) total_count = 0 with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for ip in network.hosts(): ip_str = str(ip) if self._should_write_target(ip_str): f.write(f"{ip_str}\n") total_count += 1 if total_count % 10000 == 0: logger.info("已导出 %d 个 IP...", total_count) # /32 或 /128 特殊处理 if total_count == 0: ip_str = str(network.network_address) if self._should_write_target(ip_str): with open(output_path, 'w', encoding='utf-8') as f: f.write(f"{ip_str}\n") total_count = 1 return total_count def _should_write_target(self, target: str) -> bool: """检查目标是否应该写入（通过黑名单过滤）""" if self.blacklist_filter: return self.blacklist_filter.is_allowed(target) return True ================================================ FILE: backend/apps/scan/tasks/__init__.py ================================================ """ 扫描任务模块 包含： - Prefect Tasks: 具体操作的执行单元 架构说明： - Flow（flows/）编排 Tasks（tasks/） - Tasks 负责具体操作，Flow 负责编排 """ # 子域名发现任务（已重构为多个子任务） from .subdomain_discovery import ( run_subdomain_discovery_task, merge_and_validate_task, save_domains_task, ) # 指纹识别任务 from .fingerprint_detect import ( export_urls_for_fingerprint_task, run_xingfinger_and_stream_update_tech_task, ) # 注意： # - subdomain_discovery_task 已重构为多个子任务（subdomain_discovery/） # - finalize_scan_task 已废弃（Handler 统一管理状态） # - initiate_scan_task 已迁移到 flows/initiate_scan_flow.py # - cleanup_old_scans_task 已迁移到 flows（cleanup_old_scans_flow） # - create_scan_workspace_task 已删除，直接使用 setup_scan_workspace() __all__ = [ # 子域名发现任务 'run_subdomain_discovery_task', 'merge_and_validate_task', 'save_domains_task', # 指纹识别任务 'export_urls_for_fingerprint_task', 'run_xingfinger_and_stream_update_tech_task', ] ================================================ FILE: backend/apps/scan/tasks/directory_scan/__init__.py ================================================ """ 目录扫描任务 主要任务： - export_sites_task：导出站点列表到文件 - run_and_stream_save_directories_task：流式运行目录扫描并实时保存结果 """ from .export_sites_task import export_sites_task from .run_and_stream_save_directories_task import run_and_stream_save_directories_task __all__ = [ 'export_sites_task', 'run_and_stream_save_directories_task', ] ================================================ FILE: backend/apps/scan/tasks/directory_scan/export_sites_task.py ================================================ """ 导出站点 URL 到 TXT 文件的 Task 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库导出 2. Provider 模式：使用 TargetProvider 从任意数据源导出 数据源: WebSite.url → Default """ import logging from typing import Optional from pathlib import Path from prefect import task from apps.scan.services.target_export_service import ( export_urls_with_fallback, DataSource, ) from apps.scan.providers import TargetProvider logger = logging.getLogger(__name__) @task(name="export_sites") def export_sites_task( target_id: Optional[int] = None, output_file: str = "", provider: Optional[TargetProvider] = None, batch_size: int = 1000, ) -> dict: """ 导出目标下的所有站点 URL 到 TXT 文件 支持两种模式： 1. 传统模式（向后兼容）：传入 target_id，从数据库导出 2. Provider 模式：传入 provider，从任意数据源导出 数据源优先级（回退链，仅传统模式）： 1. WebSite 表 - 站点级别 URL 2. 默认生成 - 根据 Target 类型生成 http(s)://target_name Args: target_id: 目标 ID（传统模式，向后兼容） output_file: 输出文件路径（绝对路径） provider: TargetProvider 实例（新模式） batch_size: 每次读取的批次大小，默认 1000 Returns: dict: { 'success': bool, 'output_file': str, 'total_count': int } Raises: ValueError: 参数错误 IOError: 文件写入失败 """ # 参数验证：至少提供一个 if target_id is None and provider is None: raise ValueError("必须提供 target_id 或 provider 参数之一") # Provider 模式：使用 TargetProvider 导出 if provider is not None: logger.info("使用 Provider 模式 - Provider: %s", type(provider).__name__) return _export_with_provider(output_file, provider) # 传统模式：使用 export_urls_with_fallback logger.info("使用传统模式 - Target ID: %d", target_id) result = export_urls_with_fallback( target_id=target_id, output_file=output_file, sources=[DataSource.WEBSITE, DataSource.DEFAULT], batch_size=batch_size, ) logger.info( "站点 URL 导出完成 - source=%s, count=%d", result['source'], result['total_count'] ) # 保持返回值格式不变（向后兼容） return { 'success': result['success'], 'output_file': result['output_file'], 'total_count': result['total_count'], } def _export_with_provider(output_file: str, provider: TargetProvider) -> dict: """使用 Provider 导出 URL""" output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) total_count = 0 blacklist_filter = provider.get_blacklist_filter() with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for url in provider.iter_urls(): # 应用黑名单过滤（如果有） if blacklist_filter and not blacklist_filter.is_allowed(url): continue f.write(f"{url}\n") total_count += 1 if total_count % 1000 == 0: logger.info("已导出 %d 个 URL...", total_count) logger.info("✓ URL 导出完成 - 总数: %d, 文件: %s", total_count, str(output_path)) return { 'success': True, 'output_file': str(output_path), 'total_count': total_count, } ================================================ FILE: backend/apps/scan/tasks/directory_scan/run_and_stream_save_directories_task.py ================================================ """ 基于 execute_stream 的流式目录扫描任务 主要功能： 1. 实时执行目录扫描命令（如 ffuf） 2. 流式处理命令输出，实时解析为 Directory 记录 3. 批量保存到数据库 4. 避免生成大量临时文件，提高效率 数据流向： 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库 输入：扫描命令及参数 输出：Directory 记录 优化策略： - 使用 execute_stream 实时处理输出 - 流式处理避免内存溢出 - 批量操作减少数据库交互 """ import logging import json import subprocess import time from pathlib import Path from prefect import task from typing import Generator, Optional, TYPE_CHECKING from django.db import IntegrityError, OperationalError, DatabaseError from psycopg2 import InterfaceError from dataclasses import dataclass from apps.asset.dtos.snapshot import DirectorySnapshotDTO from apps.scan.utils import execute_stream # 类型检查时导入，运行时不导入（避免循环依赖） if TYPE_CHECKING: from apps.asset.services.snapshot import DirectorySnapshotsService logger = logging.getLogger(__name__) @dataclass class ServiceSet: """ Service 集合，用于依赖注入 提供目录扫描所需的 Service 实例，便于测试时注入 Mock 对象 """ snapshot: "DirectorySnapshotsService" @classmethod def create_default(cls) -> "ServiceSet": """创建默认的 Service 集合""" from apps.asset.services.snapshot import DirectorySnapshotsService return cls( snapshot=DirectorySnapshotsService() ) def _parse_and_validate_line(line: str) -> Optional[dict]: """ 解析并验证单行 JSON 数据 Args: line: 单行输出数据 Returns: Optional[dict]: 有效的 ffuf 扫描记录，或 None 如果验证失败 验证步骤： 1. 解析 JSON 格式 2. 验证数据类型为字典 3. 验证必要字段（url） """ try: # 步骤 1: 解析 JSON try: line_data = json.loads(line, strict=False) except json.JSONDecodeError: # logger.debug("跳过非 JSON 行: %s", line) return None # 步骤 2: 验证数据类型 if not isinstance(line_data, dict): logger.debug("跳过非字典数据") return None # 步骤 3: 验证必要字段 if not line_data.get('url'): logger.info("URL 为空，跳过 - 数据: %s", str(line_data)[:200]) return None # 返回有效记录 return { 'url': line_data['url'], 'status': line_data.get('status'), 'length': line_data.get('length'), 'words': line_data.get('words'), 'lines': line_data.get('lines'), 'content_type': line_data.get('content-type', ''), 'duration': line_data.get('duration') } except Exception: logger.info("跳过无法解析的行: %s", line[:100]) return None def _parse_ffuf_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[dict, None, None]: """ 流式解析 ffuf 目录扫描命令输出 基于 execute_stream 实时处理 ffuf 命令的 stdout，将每行 JSON 输出 转换为 Directory 记录格式 Args: cmd: ffuf 目录扫描命令 cwd: 工作目录 shell: 是否使用 shell 执行 timeout: 命令执行超时时间（秒），None 表示不设置超时 Yields: dict: 每次 yield 一条解析后的目录记录 """ logger.info("开始流式解析 ffuf 目录扫描命令输出 - 命令: %s", cmd) total_lines = 0 error_lines = 0 valid_records = 0 try: # 使用 execute_stream 获取实时输出流（带工具名、超时控制和日志文件） for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file): total_lines += 1 # 解析并验证单行数据 record = _parse_and_validate_line(line) if record is None: error_lines += 1 continue valid_records += 1 # yield 一条有效记录 yield record # 每处理 1000 条记录输出一次进度 if valid_records % 1000 == 0: logger.info("已解析 %d 条有效记录...", valid_records) except subprocess.TimeoutExpired as e: # 超时异常：简洁输出，不显示堆栈 error_msg = f"流式解析命令输出超时 - 命令执行超过 {timeout} 秒" logger.warning(error_msg) # 超时是可预期的 raise RuntimeError(error_msg) from e except Exception as e: # 其他异常：输出详细堆栈以便调试 logger.error("流式解析命令输出失败: %s", e, exc_info=True) raise logger.info( "流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d", total_lines, valid_records, error_lines ) def _save_batch_with_retry( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3 ) -> dict: """ 保存一个批次的目录扫描结果（带重试机制） Args: batch: 数据批次 scan_id: 扫描任务ID target_id: 目标ID batch_num: 批次编号 services: Service 集合（必须，依赖注入） max_retries: 最大重试次数 Returns: dict: { 'success': bool, 'created_directories': int } """ for attempt in range(max_retries): try: count = _save_batch(batch, scan_id, target_id, batch_num, services) return { 'success': True, 'created_directories': count } except IntegrityError as e: # 数据完整性错误，不应重试 logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return { 'success': False, 'created_directories': 0 } except (OperationalError, DatabaseError, InterfaceError) as e: # 数据库连接/操作错误，可重试 if attempt < max_retries - 1: wait_time = 2 ** attempt # 指数退避: 1s, 2s, 4s logger.warning( "批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100] ) time.sleep(wait_time) else: logger.error("批次 %d 保存失败（已重试 %d 次）: %s", batch_num, max_retries, e) return { 'success': False, 'created_directories': 0 } except Exception as e: # 其他未知错误 - 检查是否为连接问题 error_str = str(e).lower() if 'connection' in error_str and attempt < max_retries - 1: logger.warning( "批次 %d 连接相关错误（尝试 %d/%d）: %s，Repository 装饰器会自动重连", batch_num, attempt + 1, max_retries, str(e) ) time.sleep(2) else: logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) return { 'success': False, 'created_directories': 0 } return { 'success': False, 'created_directories': 0 } def _save_batch( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet ) -> int: """ 保存一个批次的数据到数据库（使用快照 Service） 数据关系链： Target → DirectorySnapshot (待创建) → Directory (自动同步) 处理流程： 1. 构建 DirectorySnapshotDTO：包含 scan_id 和 target_id 2. 调用快照 Service：save_and_sync() 自动保存快照并同步到资产表 Args: batch: 数据批次，list of dict scan_id: 扫描任务 ID target_id: 目标 ID batch_num: 批次编号（用于日志） services: Service 集合（依赖注入） Returns: int: 创建的记录数 """ if not batch: logger.debug("批次 %d 为空，跳过处理", batch_num) return 0 # ========== Step 1: 准备 DirectorySnapshot 数据（内存操作，无需事务）========== # 使用列表推导式构建 DTO 列表 snapshot_items = [ DirectorySnapshotDTO( scan_id=scan_id, target_id=target_id, url=record['url'], status=record.get('status'), content_length=record.get('length'), words=record.get('words'), lines=record.get('lines'), content_type=record.get('content_type', ''), duration=record.get('duration') ) for record in batch ] # ========== Step 2: 保存快照并同步到资产表（通过快照 Service）========== if snapshot_items: services.snapshot.save_and_sync(snapshot_items) return len(snapshot_items) @task( name='run_and_stream_save_directories', retries=0, log_prints=True ) def run_and_stream_save_directories_task( cmd: str, tool_name: str, scan_id: int, target_id: int, site_url: str, cwd: Optional[str] = None, shell: bool = False, batch_size: int = 1000, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> dict: """ 执行 ffuf 目录扫描命令并流式保存结果到数据库 该任务将： 1. 通过 site_url 查找对应的 WebSite 对象 2. 流式解析 ffuf 输出（JSON 格式） 3. 批量保存到 Directory 表 Args: cmd: ffuf 目录扫描命令 scan_id: 扫描任务 ID target_id: 目标 ID site_url: 当前站点 URL cwd: 工作目录（可选） shell: 是否使用 shell 执行（默认 False） batch_size: 批量保存大小（默认1000） timeout: 命令执行超时时间（秒），None 表示不设置超时 Returns: dict: { 'processed_records': int, # 处理的记录总数 'created_directories': int, # 创建的目录记录数 'site_url': str # 当前站点 URL } Raises: ValueError: 参数验证失败 RuntimeError: 命令执行或数据库操作失败 subprocess.TimeoutExpired: 命令执行超时 """ logger.info( "开始执行流式目录扫描任务 - site_url=%s, 超时=%s秒", site_url, timeout if timeout else '无限制' ) data_generator = None try: # 1. 初始化服务 services = ServiceSet.create_default() # 2. 初始化资源（不再需要查找 WebSite，Directory 直接关联 Target） data_generator = _parse_ffuf_stream_output(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file) # 3. 流式处理记录并分批保存 total_records = 0 batch_num = 0 failed_batches = [] batch = [] total_created = 0 for record in data_generator: batch.append(record) total_records += 1 # 达到批次大小，执行保存 if len(batch) >= batch_size: batch_num += 1 result = _save_batch_with_retry( batch, scan_id, target_id, batch_num, services ) total_created += result.get('created_directories', 0) if not result['success']: failed_batches.append(batch_num) batch = [] # 清空批次 # 每20个批次输出进度 if batch_num % 20 == 0: logger.info( "进度: 已处理 %d 批次，%d 条记录", batch_num, total_records ) # 保存最后一批 if batch: batch_num += 1 result = _save_batch_with_retry( batch, scan_id, target_id, batch_num, services ) total_created += result.get('created_directories', 0) if not result['success']: failed_batches.append(batch_num) # 检查失败批次 if failed_batches: logger.warning( "部分批次保存失败 - 站点: %s, 失败批次: %s", site_url, failed_batches ) logger.info( "✓ 流式保存完成 - 站点: %s, 处理记录: %d（%d 批次），创建目录: %d", site_url, total_records, batch_num, total_created ) return { 'processed_records': total_records, 'created_directories': total_created, 'site_url': site_url } except subprocess.TimeoutExpired: # 超时异常直接向上传播，保留异常类型 logger.warning( "⚠️ 目录扫描任务超时 - site_url=%s, 超时=%s秒", site_url, timeout ) raise except Exception as e: error_msg = f"流式执行目录扫描任务失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: # 清理资源 if data_generator is not None: try: data_generator.close() logger.debug("已关闭数据生成器") except Exception as gen_close_error: logger.error("关闭生成器时出错: %s", gen_close_error) ================================================ FILE: backend/apps/scan/tasks/fingerprint_detect/__init__.py ================================================ """ 指纹识别任务模块 包含： - export_urls_for_fingerprint_task: 导出 URL 到文件 - run_xingfinger_and_stream_update_tech_task: 流式执行 xingfinger 并更新 tech """ from .export_urls_task import export_urls_for_fingerprint_task from .run_xingfinger_task import run_xingfinger_and_stream_update_tech_task __all__ = [ 'export_urls_for_fingerprint_task', 'run_xingfinger_and_stream_update_tech_task', ] ================================================ FILE: backend/apps/scan/tasks/fingerprint_detect/export_urls_task.py ================================================ """ 导出 URL 任务 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库导出 2. Provider 模式：使用 TargetProvider 从任意数据源导出 用于指纹识别前导出目标下的 URL 到文件 """ import logging from typing import Optional from pathlib import Path from prefect import task from apps.scan.services.target_export_service import ( export_urls_with_fallback, DataSource, ) from apps.scan.providers import TargetProvider, DatabaseTargetProvider logger = logging.getLogger(__name__) @task(name="export_urls_for_fingerprint") def export_urls_for_fingerprint_task( target_id: Optional[int] = None, output_file: str = "", source: str = 'website', # 保留参数，兼容旧调用（实际值由回退链决定） provider: Optional[TargetProvider] = None, batch_size: int = 1000 ) -> dict: """ 导出目标下的 URL 到文件（用于指纹识别） 支持两种模式： 1. 传统模式（向后兼容）：传入 target_id，从数据库导出 2. Provider 模式：传入 provider，从任意数据源导出 数据源优先级（回退链，仅传统模式）： 1. WebSite 表 - 站点级别 URL 2. 默认生成 - 根据 Target 类型生成 http(s)://target_name Args: target_id: 目标 ID（传统模式，向后兼容） output_file: 输出文件路径 source: 数据源类型（保留参数，兼容旧调用，实际值由回退链决定） provider: TargetProvider 实例（新模式） batch_size: 批量读取大小 Returns: dict: {'output_file': str, 'total_count': int, 'source': str} """ # 参数验证：至少提供一个 if target_id is None and provider is None: raise ValueError("必须提供 target_id 或 provider 参数之一") # Provider 模式：使用 TargetProvider 导出 if provider is not None: logger.info("使用 Provider 模式 - Provider: %s", type(provider).__name__) return _export_with_provider(output_file, provider) # 传统模式：使用 export_urls_with_fallback logger.info("使用传统模式 - Target ID: %d", target_id) result = export_urls_with_fallback( target_id=target_id, output_file=output_file, sources=[DataSource.WEBSITE, DataSource.DEFAULT], batch_size=batch_size, ) logger.info( "指纹识别 URL 导出完成 - source=%s, count=%d", result['source'], result['total_count'] ) # 返回实际使用的数据源（不再固定为 "website"） return { 'output_file': result['output_file'], 'total_count': result['total_count'], 'source': result['source'], } def _export_with_provider(output_file: str, provider: TargetProvider) -> dict: """使用 Provider 导出 URL""" output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) total_count = 0 blacklist_filter = provider.get_blacklist_filter() with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for url in provider.iter_urls(): # 应用黑名单过滤（如果有） if blacklist_filter and not blacklist_filter.is_allowed(url): continue f.write(f"{url}\n") total_count += 1 if total_count % 1000 == 0: logger.info("已导出 %d 个 URL...", total_count) logger.info("✓ URL 导出完成 - 总数: %d, 文件: %s", total_count, str(output_path)) return { 'output_file': str(output_path), 'total_count': total_count, 'source': 'provider', } ================================================ FILE: backend/apps/scan/tasks/fingerprint_detect/run_xingfinger_task.py ================================================ """ xingfinger 执行任务 流式执行 xingfinger 命令并实时更新 tech 字段 """ import json import logging import subprocess from typing import Optional, Generator from urllib.parse import urlparse from django.db import connection from prefect import task from apps.scan.utils import execute_stream from apps.asset.dtos.snapshot import WebsiteSnapshotDTO from apps.asset.repositories.snapshot import DjangoWebsiteSnapshotRepository logger = logging.getLogger(__name__) def parse_xingfinger_line(line: str) -> dict | None: """ 解析 xingfinger 单行 JSON 输出 xingfinger 输出格式： {"url": "...", "cms": "...", "server": "BWS/1.1", "status_code": 200, "length": 642831, "title": "..."} Returns: dict: 包含 url, techs, server, title, status_code, content_length 的字典 None: 解析失败或 URL 为空时 """ try: item = json.loads(line) url = item.get('url', '').strip() if not url: return None # cms 字段按逗号分割，去除空白 cms = item.get('cms', '') techs = [t.strip() for t in cms.split(',') if t.strip()] if cms else [] return { 'url': url, 'techs': techs, 'server': item.get('server', ''), 'title': item.get('title', ''), 'status_code': item.get('status_code'), 'content_length': item.get('length'), } except json.JSONDecodeError: return None def bulk_merge_website_fields( records: list[dict], target_id: int ) -> dict: """ 批量合并更新 WebSite 字段（PostgreSQL 原生 SQL） 合并策略： - tech：数组合并去重 - title, webserver, status_code, content_length：只在原值为空/NULL 时更新 如果 URL 对应的记录不存在，会自动创建新记录。 Args: records: 解析后的记录列表，每个包含 {url, techs, server, title, status_code, content_length} target_id: 目标 ID Returns: dict: {'updated_count': int, 'created_count': int} """ from apps.asset.models import WebSite table_name = WebSite._meta.db_table updated_count = 0 created_count = 0 with connection.cursor() as cursor: for record in records: url = record['url'] techs = record.get('techs', []) server = record.get('server', '') or '' title = record.get('title', '') or '' status_code = record.get('status_code') content_length = record.get('content_length') # 先尝试更新（合并策略） update_sql = f""" UPDATE {table_name} SET tech = (SELECT ARRAY(SELECT DISTINCT unnest( COALESCE(tech, ARRAY[]::varchar[]) || %s::varchar[] ))), title = CASE WHEN title = '' OR title IS NULL THEN %s ELSE title END, webserver = CASE WHEN webserver = '' OR webserver IS NULL THEN %s ELSE webserver END, status_code = CASE WHEN status_code IS NULL THEN %s ELSE status_code END, content_length = CASE WHEN content_length IS NULL THEN %s ELSE content_length END WHERE url = %s AND target_id = %s """ cursor.execute(update_sql, [techs, title, server, status_code, content_length, url, target_id]) if cursor.rowcount > 0: updated_count += cursor.rowcount else: # 记录不存在，创建新记录 try: # 从 URL 提取 host parsed = urlparse(url) host = parsed.hostname or '' # 插入新记录（带冲突处理） insert_sql = f""" INSERT INTO {table_name} ( target_id, url, host, location, title, webserver, response_body, content_type, tech, status_code, content_length, response_headers, created_at ) VALUES (%s, %s, %s, '', %s, %s, '', '', %s::varchar[], %s, %s, '', NOW()) ON CONFLICT (target_id, url) DO UPDATE SET tech = (SELECT ARRAY(SELECT DISTINCT unnest( COALESCE({table_name}.tech, ARRAY[]::varchar[]) || EXCLUDED.tech ))), title = CASE WHEN {table_name}.title = '' OR {table_name}.title IS NULL THEN EXCLUDED.title ELSE {table_name}.title END, webserver = CASE WHEN {table_name}.webserver = '' OR {table_name}.webserver IS NULL THEN EXCLUDED.webserver ELSE {table_name}.webserver END, status_code = CASE WHEN {table_name}.status_code IS NULL THEN EXCLUDED.status_code ELSE {table_name}.status_code END, content_length = CASE WHEN {table_name}.content_length IS NULL THEN EXCLUDED.content_length ELSE {table_name}.content_length END """ cursor.execute(insert_sql, [target_id, url, host, title, server, techs, status_code, content_length]) created_count += 1 except Exception as e: logger.warning("创建 WebSite 记录失败 (url=%s): %s", url, e) return { 'updated_count': updated_count, 'created_count': created_count } def _parse_xingfinger_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[dict, None, None]: """ 流式解析 xingfinger 命令输出 基于 execute_stream 实时处理 xingfinger 命令的 stdout，将每行 JSON 输出 转换为完整字段字典 """ logger.info("开始流式解析 xingfinger 命令输出 - 命令: %s", cmd) total_lines = 0 valid_records = 0 try: for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=True, timeout=timeout, log_file=log_file): total_lines += 1 # 解析单行 JSON result = parse_xingfinger_line(line) if result is None: continue valid_records += 1 yield result # 每处理 500 条记录输出一次进度 if valid_records % 500 == 0: logger.info("已解析 %d 条有效记录...", valid_records) except subprocess.TimeoutExpired as e: error_msg = f"xingfinger 命令执行超时 - 超过 {timeout} 秒" logger.warning(error_msg) raise RuntimeError(error_msg) from e except Exception as e: logger.error("流式解析 xingfinger 输出失败: %s", e, exc_info=True) raise logger.info("流式解析完成 - 总行数: %d, 有效记录: %d", total_lines, valid_records) @task(name="run_xingfinger_and_stream_update_tech") def run_xingfinger_and_stream_update_tech_task( cmd: str, tool_name: str, scan_id: int, target_id: int, source: str, cwd: str, timeout: int, log_file: str, batch_size: int = 100 ) -> dict: """ 流式执行 xingfinger 命令，保存快照并合并更新资产表 处理流程： 1. 流式执行 xingfinger 命令 2. 实时解析 JSON 输出（完整字段） 3. 累积到 batch_size 条后批量处理： - 保存快照（WebsiteSnapshot） - 合并更新资产表（WebSite） 合并策略： - tech：数组合并去重 - title, webserver, status_code, content_length：只在原值为空时更新 Returns: dict: { 'processed_records': int, 'updated_count': int, 'created_count': int, 'snapshot_count': int, 'batch_count': int } """ logger.info( "开始执行 xingfinger - scan_id=%s, target_id=%s, timeout=%s秒", scan_id, target_id, timeout ) data_generator = None snapshot_repo = DjangoWebsiteSnapshotRepository() try: # 初始化统计 processed_records = 0 updated_count = 0 created_count = 0 snapshot_count = 0 batch_count = 0 # 当前批次的记录列表 batch_records = [] # 流式处理 data_generator = _parse_xingfinger_stream_output( cmd=cmd, tool_name=tool_name, cwd=cwd, timeout=timeout, log_file=log_file ) for record in data_generator: processed_records += 1 batch_records.append(record) # 达到批次大小，执行批量处理 if len(batch_records) >= batch_size: batch_count += 1 result = _process_batch( batch_records, scan_id, target_id, batch_count, snapshot_repo ) updated_count += result['updated_count'] created_count += result['created_count'] snapshot_count += result['snapshot_count'] # 清空批次 batch_records = [] # 处理最后一批 if batch_records: batch_count += 1 result = _process_batch( batch_records, scan_id, target_id, batch_count, snapshot_repo ) updated_count += result['updated_count'] created_count += result['created_count'] snapshot_count += result['snapshot_count'] logger.info( "✓ xingfinger 执行完成 - 处理: %d, 更新: %d, 创建: %d, 快照: %d, 批次: %d", processed_records, updated_count, created_count, snapshot_count, batch_count ) return { 'processed_records': processed_records, 'updated_count': updated_count, 'created_count': created_count, 'snapshot_count': snapshot_count, 'batch_count': batch_count } except subprocess.TimeoutExpired: logger.warning("⚠️ xingfinger 执行超时 - target_id=%s, timeout=%s秒", target_id, timeout) raise except Exception as e: error_msg = f"xingfinger 执行失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: # 清理资源 if data_generator is not None: try: data_generator.close() except Exception as e: logger.debug("关闭生成器时出错: %s", e) def _process_batch( records: list[dict], scan_id: int, target_id: int, batch_num: int, snapshot_repo: DjangoWebsiteSnapshotRepository ) -> dict: """ 处理一个批次的数据：保存快照 + 合并更新资产表 Args: records: 解析后的记录列表 scan_id: 扫描任务 ID target_id: 目标 ID batch_num: 批次编号 snapshot_repo: 快照仓库 Returns: dict: {'updated_count': int, 'created_count': int, 'snapshot_count': int} """ # 1. 构建快照 DTO 列表 snapshot_dtos = [] for record in records: # 从 URL 提取 host parsed = urlparse(record['url']) host = parsed.hostname or '' dto = WebsiteSnapshotDTO( scan_id=scan_id, target_id=target_id, url=record['url'], host=host, title=record.get('title', '') or '', status_code=record.get('status_code'), content_length=record.get('content_length'), webserver=record.get('server', '') or '', tech=record.get('techs', []), ) snapshot_dtos.append(dto) # 2. 保存快照 snapshot_count = 0 if snapshot_dtos: try: snapshot_repo.save_snapshots(snapshot_dtos) snapshot_count = len(snapshot_dtos) except Exception as e: logger.warning("批次 %d 保存快照失败: %s", batch_num, e) # 3. 合并更新资产表 merge_result = bulk_merge_website_fields(records, target_id) logger.debug( "批次 %d 完成 - 更新: %d, 创建: %d, 快照: %d", batch_num, merge_result['updated_count'], merge_result['created_count'], snapshot_count ) return { 'updated_count': merge_result['updated_count'], 'created_count': merge_result['created_count'], 'snapshot_count': snapshot_count } ================================================ FILE: backend/apps/scan/tasks/port_scan/__init__.py ================================================ """ 端口扫描相关 Tasks 提供端口扫描流程所需的原子化任务 """ from .export_hosts_task import export_hosts_task from .run_and_stream_save_ports_task import run_and_stream_save_ports_task from .types import PortScanRecord __all__ = [ 'export_hosts_task', 'run_and_stream_save_ports_task', 'PortScanRecord', ] ================================================ FILE: backend/apps/scan/tasks/port_scan/export_hosts_task.py ================================================ """ 导出主机列表到 TXT 文件的 Task 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库导出 2. Provider 模式：使用 TargetProvider 从任意数据源导出 根据 Target 类型决定导出内容： - DOMAIN: 从 Subdomain 表导出子域名 - IP: 直接写入 target.name - CIDR: 展开 CIDR 范围内的所有 IP """ import logging from pathlib import Path from typing import Optional from prefect import task from apps.scan.providers import DatabaseTargetProvider, TargetProvider logger = logging.getLogger(__name__) @task(name="export_hosts") def export_hosts_task( output_file: str, target_id: Optional[int] = None, provider: Optional[TargetProvider] = None, ) -> dict: """ 导出主机列表到 TXT 文件 支持两种模式： 1. 传统模式（向后兼容）：传入 target_id，从数据库导出 2. Provider 模式：传入 provider，从任意数据源导出 根据 Target 类型自动决定导出内容： - DOMAIN: 从 Subdomain 表导出子域名（流式处理，支持 10万+ 域名） - IP: 直接写入 target.name（单个 IP） - CIDR: 展开 CIDR 范围内的所有可用 IP Args: output_file: 输出文件路径（绝对路径） target_id: 目标 ID（传统模式，向后兼容） provider: TargetProvider 实例（新模式） Returns: dict: { 'success': bool, 'output_file': str, 'total_count': int, 'target_type': str # 仅传统模式返回 } Raises: ValueError: 参数错误（target_id 和 provider 都未提供） IOError: 文件写入失败 """ if target_id is None and provider is None: raise ValueError("必须提供 target_id 或 provider 参数之一") # 向后兼容：如果没有提供 provider，使用 target_id 创建 DatabaseTargetProvider use_legacy_mode = provider is None if use_legacy_mode: logger.info("使用传统模式 - Target ID: %d", target_id) provider = DatabaseTargetProvider(target_id=target_id) else: logger.info("使用 Provider 模式 - Provider: %s", type(provider).__name__) # 确保输出目录存在 output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) # 使用 Provider 导出主机列表（iter_hosts 内部已处理黑名单过滤） total_count = 0 with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for host in provider.iter_hosts(): f.write(f"{host}\n") total_count += 1 if total_count % 1000 == 0: logger.info("已导出 %d 个主机...", total_count) logger.info("✓ 主机列表导出完成 - 总数: %d, 文件: %s", total_count, str(output_path)) result = { 'success': True, 'output_file': str(output_path), 'total_count': total_count, } # 传统模式：保持返回值格式不变（向后兼容） if use_legacy_mode: from apps.targets.services import TargetService target = TargetService().get_target(target_id) result['target_type'] = target.type if target else 'unknown' return result ================================================ FILE: backend/apps/scan/tasks/port_scan/run_and_stream_save_ports_task.py ================================================ """ 基于 stream_command 的流式端口扫描任务（简化版） 主要功能： 1. 实时执行端口扫描命令（如 naabu） 2. 流式处理命令输出，实时解析为 PortScanRecord 3. 批量保存到数据库（HostPortAssociation + HostPortAssociationSnapshot） 4. 避免生成大量临时文件，提高效率 数据流向： 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库 输入：扫描命令及参数 输出：HostPortAssociation（资产表）+ HostPortAssociationSnapshot（快照表） 优化策略： - 使用 stream_command 实时处理输出 - 直接存储 host + ip + port 组合，不维护复杂关系 - 流式处理避免内存溢出 - 批量操作减少数据库交互 """ import logging import json import subprocess import time from asyncio import CancelledError from pathlib import Path from prefect import task from typing import Generator, List, Optional, TYPE_CHECKING from django.db import IntegrityError, OperationalError, DatabaseError from psycopg2 import InterfaceError from dataclasses import dataclass from .types import PortScanRecord from apps.scan.utils import execute_stream from apps.common.validators import validate_port from apps.common.definitions import ScanStatus from apps.scan.models import Scan # 类型检查时导入，运行时不导入（避免循环依赖） if TYPE_CHECKING: from apps.asset.services.snapshot import HostPortMappingSnapshotsService logger = logging.getLogger(__name__) @dataclass class ServiceSet: """ Service 集合，用于依赖注入 提供所有需要的 Service 实例，便于测试时注入 Mock 对象 """ snapshot: "HostPortMappingSnapshotsService" @classmethod def create_default(cls) -> "ServiceSet": """创建默认的 Service 集合""" from apps.asset.services.snapshot import HostPortMappingSnapshotsService return cls( snapshot=HostPortMappingSnapshotsService() ) def _save_batch_with_retry( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3 ) -> dict: """ 保存一个批次的端口扫描结果（带重试机制） Args: batch: 数据批次 scan_id: 扫描任务ID target_id: 目标ID batch_num: 批次编号 services: Service 集合（必须，包含 HostPortAssociationSnapshotsService） max_retries: 最大重试次数 Returns: dict: {'success': bool} """ for attempt in range(max_retries): try: result = _save_batch(batch, scan_id, target_id, batch_num, services) return result # {'success': True} except IntegrityError as e: # 数据完整性错误，不应重试（IntegrityError 是 DatabaseError 的子类，需先处理） logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return {'success': False} except (OperationalError, DatabaseError) as e: # 数据库连接/操作错误，可重试 if attempt < max_retries - 1: wait_time = 2 ** attempt # 指数退避: 1s, 2s, 4s logger.warning( "批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100] ) time.sleep(wait_time) else: logger.error("批次 %d 保存失败（已重试 %d 次）: %s", batch_num, max_retries, e) return {'success': False} except Exception as e: # 其他未知错误 logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) return {'success': False} return {'success': False} def _save_batch( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet # Service集合（依赖注入） ) -> dict: """ 保存一个批次的端口扫描数据到数据库（使用 Service 架构） 数据存储： 使用 HostPortAssociationSnapshotsService.save_and_sync() 自动保存到快照表并同步到资产表 处理流程： 1. 构建 HostPortAssociationSnapshotDTO 列表 2. 调用 service.save_and_sync() 统一处理 - 保存到快照表（scan_id） - 同步到资产表（target_id） Args: batch: 数据批次，list of {'host', 'ip', 'port'} scan_id: 扫描任务 ID target_id: 目标 ID batch_num: 批次编号（用于日志） services: Service 集合（包含 HostPortAssociationSnapshotsService） Returns: dict: {'success': bool} Raises: TypeError: batch 参数类型错误 IntegrityError: 数据完整性错误 OperationalError: 数据库操作错误 DatabaseError: 其他数据库错误 Note: 此函数不包含重试逻辑，由外层 _save_batch_with_retry 负责重试 Strategy: 使用 bulk_create + ignore_conflicts - 新记录：插入 - 重复记录：忽略（不更新） """ from apps.asset.dtos.snapshot import HostPortMappingSnapshotDTO # 参数验证 if not isinstance(batch, list): raise TypeError(f"batch 必须是 list 类型，实际: {type(batch).__name__}") if not batch: logger.debug("批次 %d 为空，跳过处理", batch_num) return {'success': True} # 构建 DTO 列表（包含完整的业务上下文） items = [ HostPortMappingSnapshotDTO( scan_id=scan_id, target_id=target_id, # 包含 target_id 用于同步到资产表 host=record['host'], ip=record['ip'], port=record['port'] ) for record in batch ] # 调用 Service 统一处理（保存快照 + 同步资产） # DTO 已包含 target_id，无需额外传参 services.snapshot.save_and_sync(items) logger.debug("批次 %d: 已处理 %d 条记录", batch_num, len(batch)) return {'success': True} def _parse_and_validate_line(line: str) -> Optional[PortScanRecord]: """ 解析并验证单行 JSON 数据 Args: line: 单行输出数据 Returns: Optional[PortScanRecord]: 有效的端口扫描记录，或 None 如果验证失败 验证步骤： 1. 解析 JSON 格式 2. 验证数据类型为字典 3. 提取必要字段（host, ip, port） 4. 验证字段不为空 5. 验证端口号有效性 """ try: # 步骤 1: 解析 JSON try: line_data = json.loads(line, strict=False) except json.JSONDecodeError: # logger.info("跳过非 JSON 行: %s", line) return None # 步骤 2: 验证数据类型 if not isinstance(line_data, dict): logger.info("跳过非字典数据") return None # 步骤 3: 提取必要字段 host = line_data.get('host', '').strip() ip = line_data.get('ip', '').strip() port = line_data.get('port') logger.debug("解析到的主机名: %s, IP: %s, 端口: %s", host, ip, port) if not host and ip: host = ip logger.debug("主机名为空，使用 IP 作为 host") # 步骤 4: 验证字段不为空 if not host or not ip or port is None: logger.info("跳过缺少必要字段的记录") return None # 步骤 5: 验证端口号有效性 is_valid, port_num = validate_port(port) if not is_valid: return None # 返回有效记录 return { 'host': host, 'ip': ip, 'port': port_num, } except Exception: logger.info("跳过无法解析的行: %s", line[:100]) return None def _parse_naabu_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[PortScanRecord, None, None]: """ 流式解析 naabu 端口扫描命令输出 基于 stream_command 实时处理 naabu 命令的 stdout，将每行 JSON 输出 转换为 PortScanRecord 格式，沿用现有字段校验逻辑 Args: cmd: naabu 端口扫描命令（如: "naabu -l domains.txt -json"） tool_name: 工具名称（如: "naabu"） cwd: 工作目录 shell: 是否使用 shell 执行 timeout: 命令执行超时时间（秒），None 表示不设置超时 log_file: 日志文件路径（可选） Yields: PortScanRecord: 每次 yield 一条解析后的端口记录，格式： { 'host': str, # 域名 'ip': str, # IP地址 'port': int, # 端口号 } """ logger.info("开始流式解析 naabu 端口扫描命令输出 - 命令: %s", cmd) total_lines = 0 error_lines = 0 last_log_time = time.time() # 添加：记录上次日志时间 try: # 使用 execute_stream 获取实时输出流（带工具名、超时控制和日志文件） for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file): total_lines += 1 try: # 解析并验证单行数据 record = _parse_and_validate_line(line) if record is None: error_lines += 1 continue # yield 一条有效记录 yield record # 添加：每100条记录输出一次处理速度统计 if total_lines % 100 == 0: current_time = time.time() elapsed = current_time - last_log_time logger.info( "流式处理进度 - 已处理: %d 行, 有效记录: %d, 错误: %d, 速度: %.1f 行/秒", total_lines, total_lines - error_lines, error_lines, 100 / elapsed if elapsed > 0 else 0 ) last_log_time = current_time except (json.JSONDecodeError, ValueError, KeyError): # 数据解析错误（可恢复）：记录信息但继续处理后续数据 error_lines += 1 logger.info("跳过无法解析的行: %s", line) continue except subprocess.TimeoutExpired as e: # 超时异常：简洁输出，不显示堆栈 error_msg = f"流式解析命令输出超时 - 命令执行超过 {timeout} 秒" logger.warning(error_msg) # 超时是可预期的 raise RuntimeError(error_msg) from e except (IOError, OSError) as e: # IO错误（致命）：无法继续读取数据流 logger.error("流式解析IO错误: %s", e, exc_info=True) raise RuntimeError(f"流式解析IO错误: {e}") from e except (BrokenPipeError, ConnectionError) as e: # 连接错误（致命）：进程异常终止或管道断开 logger.error("流式解析连接错误（进程可能异常终止）: %s", e, exc_info=True) raise RuntimeError(f"流式解析连接错误: {e}") from e except Exception as e: # 未预期的异常：输出详细堆栈以便调试 logger.error( "流式解析命令输出失败（未预期的异常）: %s", e, exc_info=True ) raise logger.info( "流式解析完成 - 总行数: %d, 错误行数: %d", total_lines, error_lines, ) def _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None: """ 验证任务参数的有效性 Args: cmd: 扫描命令 target_id: 目标ID scan_id: 扫描ID cwd: 工作目录 Raises: ValueError: 参数验证失败 """ if not cmd or not cmd.strip(): raise ValueError("扫描命令不能为空") if target_id is None: raise ValueError("target_id 不能为 None，必须指定目标ID") if scan_id is None: raise ValueError("scan_id 不能为 None，必须指定扫描ID") # 验证工作目录（如果指定） if cwd and not Path(cwd).exists(): raise ValueError(f"工作目录不存在: {cwd}") def _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None: """ 累加批次统计信息 Args: total_stats: 总统计信息字典 batch_result: 批次结果字典 """ total_stats['created_ips'] += batch_result.get('created_ips', 0) total_stats['created_ports'] += batch_result.get('created_ports', 0) total_stats['skipped_no_subdomain'] += batch_result.get('skipped_no_subdomain', 0) total_stats['skipped_no_ip'] += batch_result.get('skipped_no_ip', 0) def _process_batch( batch: list, scan_id: int, target_id: int, batch_num: int, total_stats: dict, failed_batches: list, services: ServiceSet ) -> None: """ 处理单个批次 Args: batch: 数据批次 scan_id: 扫描ID target_id: 目标ID batch_num: 批次编号 total_stats: 总统计信息 failed_batches: 失败批次列表 services: Service 集合（必须，依赖注入） """ result = _save_batch_with_retry( batch, scan_id, target_id, batch_num, services ) # 累计统计信息（失败时可能有部分数据已保存） _accumulate_batch_stats(total_stats, result) if not result['success']: failed_batches.append(batch_num) logger.warning( "批次 %d 保存失败，但已累计统计信息：创建IP=%d, 创建端口=%d", batch_num, result.get('created_ips', 0), result.get('created_ports', 0) ) def _process_records_in_batches( data_generator, scan_id: int, target_id: int, batch_size: int, services: ServiceSet ) -> dict: """ 流式处理记录并分批保存 Args: data_generator: 数据生成器 scan_id: 扫描ID target_id: 目标ID batch_size: 批次大小 services: Service 集合（必须，依赖注入） Returns: dict: 处理统计信息 Raises: RuntimeError: 存在失败批次时抛出 subprocess.TimeoutExpired: 命令执行超时（部分数据已保存） Note: 如果发生超时，已处理的数据会被保留在数据库中， 但扫描任务会被标记为失败。这是预期行为。 """ total_records = 0 batch_num = 0 failed_batches = [] batch = [] cancel_check_interval = 50 # 每处理50条检查一次取消信号 # 统计信息 total_stats = { 'created_ips': 0, 'created_ports': 0, 'skipped_no_subdomain': 0, 'skipped_no_ip': 0 } # 流式读取生成器并分批保存 # 注意：如果超时，subprocess.TimeoutExpired 会从 data_generator 中抛出 # 此时已处理的数据已经保存到数据库 for record in data_generator: # 周期性检查取消信号，协作式终止 if cancel_check_interval > 0 and (total_records % cancel_check_interval == 0): _raise_if_cancelled(scan_id) batch.append(record) total_records += 1 # 达到批次大小，执行保存 if len(batch) >= batch_size: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) batch = [] # 清空批次 # 每20个批次输出进度 if batch_num % 20 == 0: logger.info("进度: 已处理 %d 批次，%d 条记录", batch_num, total_records) # 保存最后一批 if batch: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) # 最后再检查一次取消信号，避免在尾部卡住 _raise_if_cancelled(scan_id) # 检查失败批次 if failed_batches: error_msg = ( f"流式保存端口扫描结果时出现失败批次，处理记录: {total_records}，" f"失败批次: {failed_batches}" ) logger.warning(error_msg) # 超时是可预期的 raise RuntimeError(error_msg) return { 'processed_records': total_records, 'batch_count': batch_num, **total_stats } def _build_final_result(stats: dict) -> dict: """ 构建最终结果并输出日志 Args: stats: 处理统计信息 Returns: dict: 最终结果 """ logger.info( "✓ 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", stats['processed_records'], stats['batch_count'], stats['created_ips'], stats['created_ports'], stats['skipped_no_subdomain'], stats['skipped_no_ip'] ) # 如果没有创建任何记录，给出明确提示 if stats['created_ips'] == 0 and stats['created_ports'] == 0: logger.warning( "⚠️ 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" ) return { 'processed_records': stats['processed_records'], 'created_ips': stats['created_ips'], 'created_ports': stats['created_ports'], 'skipped_no_subdomain': stats['skipped_no_subdomain'], 'skipped_no_ip': stats['skipped_no_ip'] } def _cleanup_resources(data_generator) -> None: """ 清理任务资源 Args: data_generator: 数据生成器（可以为 None） Note: 此函数设计为幂等且安全： - 可以多次调用 - 接受 None 值 - 捕获所有异常，不会导致 finally 块失败 """ # 确保生成器被正确关闭 if data_generator is None: logger.debug("数据生成器为 None，无需清理") return try: data_generator.close() logger.debug("✓ 已成功关闭数据生成器") except StopIteration: # 生成器已经正常结束，这是预期行为 logger.debug("数据生成器已正常结束") except GeneratorExit: # 生成器已经被关闭，这是预期行为 logger.debug("数据生成器已被关闭") except Exception as gen_close_error: # 未预期的错误：记录但不抛出，避免掩盖原始异常 logger.error( "⚠️ 关闭生成器时出错（此错误不会影响任务结果）: %s", gen_close_error, exc_info=True ) @task( name='run_and_stream_save_ports', retries=0, log_prints=True ) def run_and_stream_save_ports_task( cmd: str, tool_name: str, scan_id: int, target_id: int, cwd: Optional[str] = None, shell: bool = False, batch_size: int = 1000, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> dict: """ 执行端口扫描命令并流式保存结果到数据库 该任务将： 1. 验证输入参数 2. 初始化资源（缓存、生成器） 3. 流式处理记录并分批保存 4. 构建并返回结果统计 Args: cmd: 端口扫描命令（如: "naabu -l domains.txt -json"） tool_name: 工具名称（如: "naabu"） scan_id: 扫描任务 ID target_id: 目标 ID cwd: 工作目录（可选） shell: 是否使用 shell 执行（默认 False） batch_size: 批量保存大小（默认1000） timeout: 命令执行超时时间（秒），None 表示不设置超时 log_file: 日志文件路径（可选） Returns: dict: { 'processed_records': int, # 处理的记录总数 'created_ips': int, # 创建的IP记录数 'created_ports': int, # 创建的端口记录数 'skipped_no_subdomain': int, # 因域名不存在跳过的记录数 'skipped_no_ip': int, # 因IP不存在跳过的记录数 } Raises: ValueError: 参数验证失败 RuntimeError: 命令执行或数据库操作失败 subprocess.TimeoutExpired: 命令执行超时 Performance: - 流式处理，实时解析命令输出 - 内存占用恒定（只存储一个 batch） - 复用现有的批次保存和重试逻辑 - 使用事务确保数据一致性 """ logger.info( "开始执行流式端口扫描任务 - target_id=%s, 超时=%s秒, 命令: %s", target_id, timeout if timeout else '无限制', cmd ) data_generator = None try: # 1. 验证参数 _validate_task_parameters(cmd, target_id, scan_id, cwd) # 2. 初始化资源 data_generator = _parse_naabu_stream_output(cmd, tool_name, cwd, shell, timeout, log_file) services = ServiceSet.create_default() # 3. 流式处理记录并分批保存 stats = _process_records_in_batches( data_generator, scan_id, target_id, batch_size, services ) # 4. 构建最终结果 return _build_final_result(stats) except CancelledError: # 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） logger.warning( "⚠️ 端口扫描任务检测到取消信号，正在终止 - scan_id=%s, target_id=%s", scan_id, target_id ) raise except subprocess.TimeoutExpired: # 超时异常：部分数据已保存，但扫描未完成 # 这是预期行为：流式处理会实时保存已解析的数据 logger.warning( "⚠️ 端口扫描任务超时 - target_id=%s, 超时=%s秒\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" "建议：增加超时时间或减少扫描目标数量。", target_id, timeout ) raise # 直接重新抛出，保留异常类型 except Exception as e: error_msg = f"流式执行端口扫描任务失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: # 5. 清理资源 _cleanup_resources(data_generator) def _raise_if_cancelled(scan_id: int) -> None: """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。""" status = Scan.objects.filter(id=scan_id).values_list("status", flat=True).first() if status == ScanStatus.CANCELLED: logger.warning("检测到取消信号，终止端口扫描 - scan_id=%s", scan_id) raise CancelledError() ================================================ FILE: backend/apps/scan/tasks/port_scan/types.py ================================================ """ 端口扫描相关类型定义 定义端口扫描流程中的数据结构，确保类型安全 """ from typing import TypedDict class PortScanRecord(TypedDict): """ 端口扫描记录类型定义 说明： 这是端口扫描的标准输出格式，包含： - host: 被扫描的域名 - ip: 域名解析后的 IP 地址（扫描工具自动解析） - port: 发现的开放端口 用途： - 解析器输出：parse_naabu_result_task - 保存器输入：save_ports_task 注意： IP 是端口扫描的必然产物，因为： 1. 扫描工具需要先解析域名到 IP 2. 端口属于 IP，而非域名 3. 同一域名可能有多个 IP """ host: str # 域名（如：www.example.com） ip: str # IP 地址（如：1.1.1.1） port: int # 端口号（如：80, 443, 22） ================================================ FILE: backend/apps/scan/tasks/screenshot/__init__.py ================================================ """ 截图任务模块 包含截图相关的所有任务： - capture_screenshots_task: 批量截图任务 """ from .capture_screenshots_task import capture_screenshots_task __all__ = [ 'capture_screenshots_task', ] ================================================ FILE: backend/apps/scan/tasks/screenshot/capture_screenshots_task.py ================================================ """ 批量截图任务 使用 Playwright 批量捕获网站截图，压缩后保存到数据库 """ import asyncio import logging import time from prefect import task logger = logging.getLogger(__name__) def _run_async(coro): """ 在同步环境中运行异步协程 Args: coro: 异步协程 Returns: 协程执行结果 """ try: loop = asyncio.get_event_loop() except RuntimeError: loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) return loop.run_until_complete(coro) def _save_screenshot_with_retry( screenshot_service, scan_id: int, url: str, webp_data: bytes, status_code: int | None = None, max_retries: int = 3 ) -> bool: """ 保存截图到数据库（带重试机制） Args: screenshot_service: ScreenshotService 实例 scan_id: 扫描 ID url: URL webp_data: WebP 图片数据 status_code: HTTP 响应状态码 max_retries: 最大重试次数 Returns: 是否保存成功 """ for attempt in range(max_retries): try: if screenshot_service.save_screenshot_snapshot(scan_id, url, webp_data, status_code): return True # save 返回 False，等待后重试 if attempt < max_retries - 1: wait_time = 2 ** attempt # 指数退避：1s, 2s, 4s logger.warning( "保存截图失败（第 %d 次尝试），%d秒后重试: %s", attempt + 1, wait_time, url ) time.sleep(wait_time) except Exception as e: if attempt < max_retries - 1: wait_time = 2 ** attempt logger.warning( "保存截图异常（第 %d 次尝试），%d秒后重试: %s, 错误: %s", attempt + 1, wait_time, url, str(e)[:100] ) time.sleep(wait_time) else: logger.error("保存截图失败（已重试 %d 次）: %s", max_retries, url) return False async def _capture_and_save_screenshots( urls: list[str], scan_id: int, concurrency: int ) -> dict: """ 异步批量截图并保存 Args: urls: URL 列表 scan_id: 扫描 ID concurrency: 并发数 Returns: 统计信息字典 """ from asgiref.sync import sync_to_async from apps.asset.services.playwright_screenshot_service import PlaywrightScreenshotService from apps.asset.services.screenshot_service import ScreenshotService # 初始化服务 playwright_service = PlaywrightScreenshotService(concurrency=concurrency) screenshot_service = ScreenshotService() # 包装同步的保存函数为异步 async_save_with_retry = sync_to_async(_save_screenshot_with_retry, thread_sensitive=True) # 统计 total = len(urls) successful = 0 failed = 0 logger.info("开始批量截图 - URL数: %d, 并发数: %d", total, concurrency) # 批量截图 async for url, screenshot_bytes, status_code in playwright_service.capture_batch(urls): if screenshot_bytes is None: failed += 1 continue # 压缩为 WebP webp_data = screenshot_service.compress_from_bytes(screenshot_bytes) if webp_data is None: logger.warning("压缩截图失败: %s", url) failed += 1 continue # 保存到数据库（带重试，使用 sync_to_async） if await async_save_with_retry(screenshot_service, scan_id, url, webp_data, status_code): successful += 1 if successful % 10 == 0: logger.info("截图进度: %d/%d 成功", successful, total) else: failed += 1 return { 'total': total, 'successful': successful, 'failed': failed } @task(name='capture_screenshots', retries=0) def capture_screenshots_task( urls: list[str], scan_id: int, target_id: int, config: dict ) -> dict: """ 批量截图任务 Args: urls: URL 列表 scan_id: 扫描 ID target_id: 目标 ID（用于日志） config: 截图配置 - concurrency: 并发数（默认 5） Returns: dict: { 'total': int, # 总 URL 数 'successful': int, # 成功截图数 'failed': int # 失败数 } """ if not urls: logger.info("URL 列表为空，跳过截图任务") return {'total': 0, 'successful': 0, 'failed': 0} concurrency = config.get('concurrency', 5) logger.info( "开始截图任务 - scan_id=%d, target_id=%d, URL数=%d, 并发=%d", scan_id, target_id, len(urls), concurrency ) try: result = _run_async(_capture_and_save_screenshots( urls=urls, scan_id=scan_id, concurrency=concurrency )) logger.info( "✓ 截图任务完成 - 总数: %d, 成功: %d, 失败: %d", result['total'], result['successful'], result['failed'] ) return result except Exception as e: logger.error("截图任务失败: %s", e, exc_info=True) raise RuntimeError(f"截图任务失败: {e}") from e ================================================ FILE: backend/apps/scan/tasks/site_scan/__init__.py ================================================ """ 站点扫描任务模块 包含站点扫描相关的所有任务： - export_site_urls_task: 导出站点URL到文件 - run_and_stream_save_websites_task: 流式运行httpx扫描并实时保存结果 """ from .export_site_urls_task import export_site_urls_task from .run_and_stream_save_websites_task import run_and_stream_save_websites_task __all__ = [ 'export_site_urls_task', 'run_and_stream_save_websites_task', ] ================================================ FILE: backend/apps/scan/tasks/site_scan/export_site_urls_task.py ================================================ """ 导出站点URL到文件的Task 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库导出 2. Provider 模式：使用 TargetProvider 从任意数据源导出 特殊逻辑： - 80 端口：只生成 HTTP URL（省略端口号） - 443 端口：只生成 HTTPS URL（省略端口号） - 其他端口：生成 HTTP 和 HTTPS 两个URL（带端口号） """ import logging from typing import Optional from pathlib import Path from prefect import task from apps.asset.services import HostPortMappingService from apps.scan.services.target_export_service import create_export_service from apps.common.services import BlacklistService from apps.common.utils import BlacklistFilter from apps.scan.providers import TargetProvider, DatabaseTargetProvider, ProviderContext logger = logging.getLogger(__name__) def _generate_urls_from_port(host: str, port: int) -> list[str]: """ 根据端口生成 URL 列表 - 80 端口：只生成 HTTP URL（省略端口号） - 443 端口：只生成 HTTPS URL（省略端口号） - 其他端口：生成 HTTP 和 HTTPS 两个URL（带端口号） """ if port == 80: return [f"http://{host}"] elif port == 443: return [f"https://{host}"] else: return [f"http://{host}:{port}", f"https://{host}:{port}"] @task(name="export_site_urls") def export_site_urls_task( output_file: str, target_id: Optional[int] = None, provider: Optional[TargetProvider] = None, batch_size: int = 1000 ) -> dict: """ 导出目标下的所有站点URL到文件 支持两种模式： 1. 传统模式（向后兼容）：传入 target_id，从 HostPortMapping 表导出 2. Provider 模式：传入 provider，从任意数据源导出 传统模式特殊逻辑： - 80 端口：只生成 HTTP URL（省略端口号） - 443 端口：只生成 HTTPS URL（省略端口号） - 其他端口：生成 HTTP 和 HTTPS 两个URL（带端口号） 回退逻辑（仅传统模式）： - 如果 HostPortMapping 为空，使用 generate_default_urls() 生成默认 URL Args: output_file: 输出文件路径（绝对路径） target_id: 目标ID（传统模式，向后兼容） provider: TargetProvider 实例（新模式） batch_size: 每次处理的批次大小 Returns: dict: { 'success': bool, 'output_file': str, 'total_urls': int, 'association_count': int, # 主机端口关联数量（仅传统模式） 'source': str, # 数据来源: "host_port" | "default" | "provider" } Raises: ValueError: 参数错误 IOError: 文件写入失败 """ # 参数验证：至少提供一个 if target_id is None and provider is None: raise ValueError("必须提供 target_id 或 provider 参数之一") # 向后兼容：如果没有提供 provider，使用传统模式 if provider is None: logger.info("使用传统模式 - Target ID: %d, 输出文件: %s", target_id, output_file) return _export_site_urls_legacy(target_id, output_file, batch_size) # Provider 模式 logger.info("使用 Provider 模式 - Provider: %s, 输出文件: %s", type(provider).__name__, output_file) # 确保输出目录存在 output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) # 使用 Provider 导出 URL 列表 total_urls = 0 blacklist_filter = provider.get_blacklist_filter() with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for url in provider.iter_urls(): # 应用黑名单过滤（如果有） if blacklist_filter and not blacklist_filter.is_allowed(url): continue f.write(f"{url}\n") total_urls += 1 if total_urls % 1000 == 0: logger.info("已导出 %d 个URL...", total_urls) logger.info("✓ URL导出完成 - 总数: %d, 文件: %s", total_urls, str(output_path)) return { 'success': True, 'output_file': str(output_path), 'total_urls': total_urls, 'source': 'provider', } def _export_site_urls_legacy(target_id: int, output_file: str, batch_size: int) -> dict: """ 传统模式：从 HostPortMapping 表导出 URL 保持原有逻辑不变，确保向后兼容 """ logger.info("开始统计站点URL - Target ID: %d, 输出文件: %s", target_id, output_file) # 确保输出目录存在 output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) # 获取规则并创建过滤器 blacklist_filter = BlacklistFilter(BlacklistService().get_rules(target_id)) # 直接查询 HostPortMapping 表，按 host 排序 service = HostPortMappingService() associations = service.iter_host_port_by_target( target_id=target_id, batch_size=batch_size, ) total_urls = 0 association_count = 0 filtered_count = 0 # 流式写入文件（特殊端口逻辑） with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for assoc in associations: association_count += 1 host = assoc['host'] port = assoc['port'] # 先校验 host，通过了再生成 URL if not blacklist_filter.is_allowed(host): filtered_count += 1 continue # 根据端口号生成URL for url in _generate_urls_from_port(host, port): f.write(f"{url}\n") total_urls += 1 if association_count % 1000 == 0: logger.info("已处理 %d 条关联，生成 %d 个URL...", association_count, total_urls) if filtered_count > 0: logger.info("黑名单过滤: 过滤 %d 条关联", filtered_count) logger.info( "✓ 站点URL导出完成 - 关联数: %d, 总URL数: %d, 文件: %s", association_count, total_urls, str(output_path) ) # 判断数据来源 source = "host_port" # 数据存在但全被过滤，不回退 if association_count > 0 and total_urls == 0: logger.info("HostPortMapping 有 %d 条数据，但全被黑名单过滤，不回退", association_count) return { 'success': True, 'output_file': str(output_path), 'total_urls': 0, 'association_count': association_count, 'source': source, } # 数据源为空，回退到默认 URL 生成 if total_urls == 0: logger.info("HostPortMapping 为空，使用默认 URL 生成") export_service = create_export_service(target_id) result = export_service.generate_default_urls(target_id, str(output_path)) total_urls = result['total_count'] source = "default" return { 'success': True, 'output_file': str(output_path), 'total_urls': total_urls, 'association_count': association_count, 'source': source, } ================================================ FILE: backend/apps/scan/tasks/site_scan/run_and_stream_save_websites_task.py ================================================ """ 基于 execute_stream 的流式站点扫描任务 主要功能： 1. 实时执行站点扫描命令（httpx） 2. 流式处理命令输出，实时解析为 HttpxRecord 3. 批量保存到数据库，复用现有的字段校验与统计逻辑 4. 避免生成大量临时文件，提高效率 数据流向： 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库 输入：扫描命令及参数 输出：WebSite 记录 优化策略： - 使用 execute_stream 实时处理输出 - 复用现有的 _save_batch_with_retry 逻辑 - 流式处理避免内存溢出 - 批量操作减少数据库交互 """ import logging import json import subprocess import time from pathlib import Path from prefect import task from typing import Generator, Optional, Dict, Any, TYPE_CHECKING from django.db import IntegrityError, OperationalError, DatabaseError from dataclasses import dataclass from urllib.parse import urlparse, urlunparse from psycopg2 import InterfaceError from apps.asset.dtos.snapshot import WebsiteSnapshotDTO from apps.scan.utils import execute_stream # 类型检查时导入，运行时不导入（避免循环依赖） if TYPE_CHECKING: from apps.asset.services.snapshot import WebsiteSnapshotsService logger = logging.getLogger(__name__) @dataclass class ServiceSet: """ Service 集合，用于依赖注入 提供所有需要的 Service 实例，便于测试时注入 Mock 对象 """ snapshot: "WebsiteSnapshotsService" @classmethod def create_default(cls) -> 'ServiceSet': """创建默认的 Service 集合""" from apps.asset.services.snapshot import WebsiteSnapshotsService return cls( snapshot=WebsiteSnapshotsService() ) def _sanitize_string(value: str) -> str: """ 清理字符串中的 NUL 字符和其他不可打印字符 PostgreSQL 不允许字符串字段包含 NUL (0x00) 字符 """ if not value: return value # 移除 NUL 字符 return value.replace('\x00', '') def normalize_url(url: str) -> str: """ 标准化 URL，移除默认端口号 处理规则： - HTTPS 协议的 443 端口 → 移除端口号 - HTTP 协议的 80 端口 → 移除端口号 - 其他端口 → 保留端口号 Args: url: 原始 URL（如 https://www.example.com:443） Returns: str: 标准化后的 URL（如 https://www.example.com） Examples: >>> normalize_url('https://www.example.com:443') 'https://www.example.com' >>> normalize_url('http://www.example.com:80') 'http://www.example.com' >>> normalize_url('https://www.example.com:8443') 'https://www.example.com:8443' """ try: parsed = urlparse(url) # 检查是否需要移除端口号 should_remove_port = ( (parsed.scheme == 'https' and parsed.port == 443) or (parsed.scheme == 'http' and parsed.port == 80) ) if should_remove_port: # 重建 URL，不包含端口号 # netloc 可能是 'domain:port' 格式，需要只保留 hostname netloc = parsed.hostname or parsed.netloc.split(':')[0] normalized = urlunparse(( parsed.scheme, netloc, parsed.path, parsed.params, parsed.query, parsed.fragment )) return normalized # 不需要修改，返回原 URL return url except Exception as e: # 解析失败，返回原 URL logger.debug("URL 标准化失败: %s，使用原始 URL: %s", e, url) return url def _extract_hostname(url: str) -> str: """ 从 URL 提取主机名 Args: url: URL 字符串 Returns: str: 提取的主机名（小写） """ try: if url: parsed = urlparse(url) if parsed.hostname: return parsed.hostname # 降级方案：手动提取 return url.replace('http://', '').replace('https://', '').split('/')[0].split(':')[0] return '' except Exception as e: logger.debug("提取主机名失败: %s", e) return '' class HttpxRecord: """httpx 扫描记录数据类""" def __init__(self, data: Dict[str, Any]): self.url = _sanitize_string(data.get('url', '')) self.input = _sanitize_string(data.get('input', '')) self.title = _sanitize_string(data.get('title', '')) self.status_code = data.get('status_code') # int，不需要清理 self.content_length = data.get('content_length') # int，不需要清理 self.content_type = _sanitize_string(data.get('content_type', '')) self.location = _sanitize_string(data.get('location', '')) self.webserver = _sanitize_string(data.get('webserver', '')) self.response_body = _sanitize_string(data.get('body', '')) 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 self.vhost = data.get('vhost') # bool，不需要清理 self.failed = data.get('failed', False) # bool，不需要清理 self.response_headers = _sanitize_string(data.get('raw_header', '')) # 从 URL 中提取主机名（优先使用 httpx 返回的 host，否则自动提取） httpx_host = _sanitize_string(data.get('host', '')) self.host = httpx_host if httpx_host else _extract_hostname(self.url) def _save_batch_with_retry( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3 ) -> dict: """ 保存一个批次的数据（带重试机制） Args: batch: 要保存的记录批次 scan_id: 扫描任务ID target_id: 目标ID batch_num: 批次编号 services: Service 集合（必须，依赖注入） max_retries: 最大重试次数 Returns: dict: { 'success': bool, 'created_websites': int, 'skipped_failed': int } """ for attempt in range(max_retries): try: stats = _save_batch(batch, scan_id, target_id, batch_num, services) return { 'success': True, 'created_websites': stats.get('created_websites', 0), 'skipped_failed': stats.get('skipped_failed', 0) } except IntegrityError as e: # 数据完整性错误，不应重试（IntegrityError 是 DatabaseError 的子类，需先处理） logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return { 'success': False, 'created_websites': 0, 'skipped_failed': 0 } except (OperationalError, DatabaseError, InterfaceError) as e: # 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 if attempt < max_retries - 1: wait_time = 2 ** attempt logger.warning( "批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100] ) time.sleep(wait_time) else: logger.error( "批次 %d 保存失败（已重试 %d 次），将终止任务: %s", batch_num, max_retries, e, exc_info=True, ) # 让上层 Task 感知失败，从而标记整个扫描为失败 raise except Exception as e: # 其他未知异常也不再吞掉，直接抛出以便 Flow 标记为失败 logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) raise # 理论上不会走到这里，保留兜底返回值以满足类型约束 return { 'success': False, 'created_websites': 0, 'skipped_failed': 0 } def _save_batch( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet ) -> dict: """ 保存一个批次的数据到数据库（使用快照 Service） 数据关系链： Subdomain (已存在) → WebsiteSnapshot (待创建) → WebSite (自动同步) 处理流程： 1. 查询 Subdomain：根据域名批量查询（LRU缓存） 2. 构建 WebsiteSnapshotDTO：包含 scan_id 和 target_id 3. 调用快照 Service：save_and_sync() 自动保存快照并同步到资产表 Args: batch: 数据批次，list of HttpxRecord scan_id: 扫描任务 ID target_id: 目标 ID batch_num: 批次编号（用于日志） services: Service 集合（依赖注入） Returns: dict: 包含创建和跳过记录的统计信息 Raises: TypeError: batch 参数类型错误 IntegrityError: 数据完整性错误 OperationalError: 数据库操作错误 DatabaseError: 其他数据库错误 Note: 此函数不包含重试逻辑，由外层 _save_batch_with_retry 负责重试 """ # 参数验证 if not isinstance(batch, list): raise TypeError(f"batch 必须是 list 类型，实际: {type(batch).__name__}") if not batch: logger.debug("批次 %d 为空，跳过处理", batch_num) return { 'created_websites': 0, 'skipped_failed': 0 } # 统计变量 skipped_failed = 0 # ========== Step 1: 准备 WebsiteSnapshot 数据（内存操作，无需事务）========== snapshot_items = [] for record in batch: # 跳过失败的请求 if record.failed: skipped_failed += 1 continue try: # 使用 input 字段（原始扫描的 URL）而不是 url 字段（重定向后的 URL） # 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 # 例如：http://example.com 和 https://example.com 都重定向到 https://example.com # 如果使用 record.url，两条记录会有相同的 url，导致数据库冲突 # 如果使用 record.input，两条记录保留原始输入，不会冲突 normalized_url = normalize_url(record.input) if record.input else normalize_url(record.url) # 提取 host 字段（域名或IP地址） host = record.host if record.host else '' # 创建 WebsiteSnapshot DTO snapshot_dto = WebsiteSnapshotDTO( scan_id=scan_id, target_id=target_id, # 主关联字段 url=normalized_url, # 保存原始输入 URL（归一化后） host=host, # 主机名（域名或IP地址） location=record.location if record.location else '', title=record.title if record.title else '', webserver=record.webserver if record.webserver else '', response_body=record.response_body if record.response_body else '', content_type=record.content_type if record.content_type else '', tech=record.tech if isinstance(record.tech, list) else [], status_code=record.status_code, content_length=record.content_length, vhost=record.vhost, response_headers=record.response_headers if record.response_headers else '', ) snapshot_items.append(snapshot_dto) except Exception as e: logger.error("处理记录失败: %s，错误: %s", record.url, e) continue # ========== Step 2: 保存快照并同步到资产表（通过快照 Service）========== if snapshot_items: services.snapshot.save_and_sync(snapshot_items) return { 'created_websites': len(snapshot_items), 'skipped_failed': skipped_failed } def _parse_and_validate_line(line: str) -> Optional[HttpxRecord]: """ 解析并验证单行 JSON 数据 Args: line: 单行输出数据 Returns: Optional[HttpxRecord]: 有效的 httpx 扫描记录，或 None 如果验证失败 验证步骤： 1. 清理 NUL 字符 2. 解析 JSON 格式 3. 验证数据类型为字典 4. 创建 HttpxRecord 对象 5. 验证必要字段（url） """ try: # 步骤 1: 清理 NUL 字符后再解析 JSON line = _sanitize_string(line) # 步骤 2: 解析 JSON try: line_data = json.loads(line, strict=False) except json.JSONDecodeError: return None # 步骤 3: 验证数据类型 if not isinstance(line_data, dict): logger.info("跳过非字典数据") return None # 步骤 4: 创建记录 record = HttpxRecord(line_data) # 步骤 5: 验证必要字段 if not record.url: logger.info("URL 为空，跳过 - 数据: %s", str(line_data)[:200]) return None # 返回有效记录 return record except Exception: logger.info("跳过无法解析的行: %s", line[:100] if line else 'empty') return None def _parse_httpx_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[HttpxRecord, None, None]: """ 流式解析 httpx 站点扫描命令输出 基于 execute_stream 实时处理 httpx 命令的 stdout，将每行 JSON 输出 转换为 HttpxRecord 格式，沿用现有字段校验逻辑 Args: cmd: httpx 站点扫描命令 cwd: 工作目录 shell: 是否使用 shell 执行 timeout: 命令执行超时时间（秒），None 表示不设置超时 Yields: HttpxRecord: 每次 yield 一条解析后的站点记录 """ logger.info("开始流式解析 httpx 站点扫描命令输出 - 命令: %s", cmd) total_lines = 0 error_lines = 0 valid_records = 0 try: # 使用 execute_stream 获取实时输出流（带工具名、超时控制和日志文件） for line in execute_stream(cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file): total_lines += 1 # 解析并验证单行数据 record = _parse_and_validate_line(line) if record is None: error_lines += 1 continue valid_records += 1 # yield 一条有效记录 yield record # 每处理 5 条记录输出一次进度 if valid_records % 5 == 0: logger.info("已解析 %d 条有效记录...", valid_records) except subprocess.TimeoutExpired as e: # 超时异常：简洁输出，不显示堆栈 error_msg = f"流式解析命令输出超时 - 命令执行超过 {timeout} 秒" logger.warning(error_msg) # 超时是可预期的 raise RuntimeError(error_msg) from e except Exception as e: # 其他异常：输出详细堆栈以便调试 logger.error("流式解析命令输出失败: %s", e, exc_info=True) raise logger.info( "流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d", total_lines, valid_records, error_lines ) def _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None: """ 验证任务参数的有效性 Args: cmd: 扫描命令 target_id: 目标ID scan_id: 扫描ID cwd: 工作目录 Raises: ValueError: 参数验证失败 """ if not cmd or not cmd.strip(): raise ValueError("扫描命令不能为空") if target_id is None: raise ValueError("target_id 不能为 None，必须指定目标ID") if scan_id is None: raise ValueError("scan_id 不能为 None，必须指定扫描ID") # 验证工作目录（如果指定） if cwd and not Path(cwd).exists(): raise ValueError(f"工作目录不存在: {cwd}") def _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None: """ 累加批次统计信息 Args: total_stats: 总统计信息字典 batch_result: 批次结果字典 """ total_stats['created_websites'] += batch_result.get('created_websites', 0) total_stats['skipped_failed'] += batch_result.get('skipped_failed', 0) def _process_batch( batch: list, scan_id: int, target_id: int, batch_num: int, total_stats: dict, failed_batches: list, services: ServiceSet ) -> None: """ 处理单个批次 Args: batch: 数据批次 scan_id: 扫描ID target_id: 目标ID batch_num: 批次编号 total_stats: 总统计信息 failed_batches: 失败批次列表 services: Service 集合（必须，依赖注入） """ result = _save_batch_with_retry( batch, scan_id, target_id, batch_num, services ) # 累计统计信息（失败时可能有部分数据已保存） _accumulate_batch_stats(total_stats, result) if not result['success']: failed_batches.append(batch_num) logger.warning( "批次 %d 保存失败，但已累计统计信息：创建站点=%d", batch_num, result.get('created_websites', 0) ) def _process_records_in_batches( data_generator, scan_id: int, target_id: int, batch_size: int, services: ServiceSet ) -> dict: """ 流式处理记录并分批保存 Args: data_generator: 数据生成器 scan_id: 扫描ID target_id: 目标ID batch_size: 批次大小 services: Service 集合（必须，依赖注入） Returns: dict: 处理统计信息 Raises: RuntimeError: 存在失败批次时抛出 """ total_records = 0 batch_num = 0 failed_batches = [] batch = [] # 统计信息 total_stats = { 'created_websites': 0, 'skipped_failed': 0 } # 流式读取生成器并分批保存 for record in data_generator: batch.append(record) total_records += 1 # 达到批次大小，执行保存 if len(batch) >= batch_size: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) batch = [] # 清空批次 # 每 2 个批次输出进度 if batch_num % 2 == 0: logger.info("进度: 已处理 %d 批次，%d 条记录", batch_num, total_records) # 保存最后一批 if batch: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) # 检查失败批次 if failed_batches: error_msg = ( f"流式保存站点扫描结果时出现失败批次，处理记录: {total_records}，" f"失败批次: {failed_batches}" ) logger.warning(error_msg) # 超时是可预期的 raise RuntimeError(error_msg) return { 'processed_records': total_records, 'batch_count': batch_num, **total_stats } def _build_final_result(stats: dict) -> dict: """ 构建最终结果并输出日志 Args: stats: 处理统计信息 Returns: dict: 最终结果 """ logger.info( "✓ 流式保存完成 - 处理记录: %d（%d 批次），创建站点: %d，跳过（失败）: %d", stats['processed_records'], stats['batch_count'], stats['created_websites'], stats['skipped_failed'] ) # 如果没有创建任何记录，给出明确提示 if stats['created_websites'] == 0: logger.warning( "⚠️ 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" ) return { 'processed_records': stats['processed_records'], 'created_websites': stats['created_websites'], 'skipped_failed': stats['skipped_failed'] } def _cleanup_resources(data_generator) -> None: """ 清理任务资源 Args: data_generator: 数据生成器 """ # 注：LRUCache 是局部变量，函数结束时会自动释放，无需手动 clear() # 确保生成器被正确关闭 if data_generator is not None: try: data_generator.close() logger.debug("已关闭数据生成器") except Exception as gen_close_error: logger.error("关闭生成器时出错: %s", gen_close_error) @task(name='run_and_stream_save_websites', retries=0) def run_and_stream_save_websites_task( cmd: str, tool_name: str, scan_id: int, target_id: int, cwd: Optional[str] = None, shell: bool = False, batch_size: int = 10, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> dict: """ 执行 httpx 站点扫描命令并流式保存结果到数据库 该任务将： 1. 验证输入参数 2. 初始化资源（缓存、生成器） 3. 流式处理记录并分批保存 4. 构建并返回结果统计 Args: cmd: httpx 站点扫描命令 scan_id: 扫描任务 ID target_id: 目标 ID cwd: 工作目录（可选） shell: 是否使用 shell 执行（默认 False） batch_size: 批量保存大小（默认1000） timeout: 命令执行超时时间（秒），None 表示不设置超时 Returns: dict: { 'processed_records': int, # 处理的记录总数 'created_websites': int, # 创建的站点记录数 'skipped_failed': int, # 因请求失败跳过的记录数 } Raises: ValueError: 参数验证失败 RuntimeError: 命令执行或数据库操作失败 subprocess.TimeoutExpired: 命令执行超时 Performance: - 流式处理，实时解析命令输出 - 内存占用恒定（只存储一个 batch） - 复用现有的批次保存和重试逻辑 - 使用事务确保数据一致性 """ logger.info( "开始执行流式站点扫描任务 - target_id=%s, 超时=%s秒, 命令: %s", target_id, timeout if timeout else '无限制', cmd ) data_generator = None try: # 1. 验证参数 _validate_task_parameters(cmd, target_id, scan_id, cwd) # 2. 初始化资源 data_generator = _parse_httpx_stream_output(cmd, tool_name, cwd, shell, timeout, log_file) services = ServiceSet.create_default() # 3. 流式处理记录并分批保存 stats = _process_records_in_batches( data_generator, scan_id, target_id, batch_size, services ) # 4. 构建最终结果 return _build_final_result(stats) except subprocess.TimeoutExpired: # 超时异常直接向上传播，保留异常类型 logger.warning( "⚠️ 站点扫描任务超时 - target_id=%s, 超时=%s秒", target_id, timeout ) raise # 直接重新抛出，不包装 except Exception as e: error_msg = f"流式执行站点扫描任务失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: # 5. 清理资源 _cleanup_resources(data_generator) ================================================ FILE: backend/apps/scan/tasks/subdomain_discovery/__init__.py ================================================ """ 子域名发现任务模块 包含子域名扫描流程的 Prefect Tasks： - run_subdomain_discovery_task: 运行单个子域名发现工具（可并行） - merge_and_validate_task: 合并、解析并验证域名（一体化高性能） - save_domains_task: 保存到数据库 架构优势： - 每个 task 单一职责，可独立重试 - 支持并行执行扫描工具 - 流式处理 + 正则验证，性能提升 50-100 倍 - Flow 层编排，逻辑清晰 """ from .run_subdomain_discovery_task import run_subdomain_discovery_task from .merge_and_validate_task import merge_and_validate_task from .save_domains_task import save_domains_task __all__ = [ 'run_subdomain_discovery_task', 'merge_and_validate_task', 'save_domains_task', ] ================================================ FILE: backend/apps/scan/tasks/subdomain_discovery/merge_and_validate_task.py ================================================ """ 合并并去重域名任务 合并 merge + parse + validate 三个步骤,优化性能: - 单命令实现(LC_ALL=C sort -u) - C语言级性能,单进程高效 - 无临时文件,零额外开销 - 支持千万级数据处理 性能优势: - LC_ALL=C 字节序比较(比locale快20-30%) - 单进程直接处理多文件(无管道开销) - 内存占用恒定(~50MB for 50万域名) - 50万域名处理时间:~0.5秒(相比 Python 提升 ~67%) Note: - 工具(amass/subfinder)输出已标准化(小写,无空行) - sort -u 自动处理去重和排序 - 无需额外过滤,性能最优 """ import logging import subprocess import uuid from datetime import datetime from pathlib import Path from typing import List from prefect import task logger = logging.getLogger(__name__) def _count_file_lines(file_path: str) -> int: """使用 wc -l 统计文件行数，失败时返回 0""" try: result = subprocess.run( ["wc", "-l", file_path], check=True, capture_output=True, text=True, ) return int(result.stdout.strip().split()[0]) except (subprocess.CalledProcessError, ValueError, IndexError): return 0 def _calculate_timeout(total_lines: int) -> int: """根据总行数计算超时时间（每行约 0.1 秒，最少 600 秒）""" if total_lines <= 0: return 3600 return max(600, int(total_lines * 0.1)) def _validate_input_files(result_files: List[str]) -> List[str]: """验证输入文件存在性，返回有效文件列表""" valid_files = [] for file_path_str in result_files: file_path = Path(file_path_str) if file_path.exists(): valid_files.append(str(file_path)) else: logger.warning("结果文件不存在: %s", file_path) return valid_files @task(name='merge_and_deduplicate', retries=1, log_prints=True) def merge_and_validate_task(result_files: List[str], result_dir: str) -> str: """ 合并扫描结果并去重（高性能流式处理） 使用 LC_ALL=C sort -u 直接处理多文件，排序去重一步完成。 Args: result_files: 结果文件路径列表 result_dir: 结果目录 Returns: 去重后的域名文件路径 Raises: RuntimeError: 处理失败 """ logger.info("开始合并并去重 %d 个结果文件", len(result_files)) valid_files = _validate_input_files(result_files) if not valid_files: raise RuntimeError("所有结果文件都不存在") # 生成输出文件路径 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') short_uuid = uuid.uuid4().hex[:4] merged_file = Path(result_dir) / f"merged_{timestamp}_{short_uuid}.txt" # 计算超时时间 total_lines = sum(_count_file_lines(f) for f in valid_files) timeout = _calculate_timeout(total_lines) logger.info("合并去重: 输入总行数=%d, timeout=%d秒", total_lines, timeout) # 执行合并去重命令 cmd = f"LC_ALL=C sort -u {' '.join(valid_files)} -o {merged_file}" logger.debug("执行命令: %s", cmd) try: subprocess.run(cmd, shell=True, check=True, timeout=timeout) except subprocess.TimeoutExpired as exc: raise RuntimeError("合并去重超时，请检查数据量或系统资源") from exc except subprocess.CalledProcessError as exc: raise RuntimeError(f"系统命令执行失败: {exc.stderr or exc}") from exc # 验证输出文件 if not merged_file.exists(): raise RuntimeError("合并文件未被创建") unique_count = _count_file_lines(str(merged_file)) if unique_count == 0: # 降级为 Python 统计 with open(merged_file, 'r', encoding='utf-8') as f: unique_count = sum(1 for _ in f) if unique_count == 0: raise RuntimeError("未找到任何有效域名") file_size_kb = merged_file.stat().st_size / 1024 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) return str(merged_file) ================================================ FILE: backend/apps/scan/tasks/subdomain_discovery/run_subdomain_discovery_task.py ================================================ """ 运行扫描工具任务 负责运行单个子域名扫描工具（subfinder、sublist3r 等） """ import logging from pathlib import Path from prefect import task from apps.scan.utils import execute_and_wait logger = logging.getLogger(__name__) @task( name='run_subdomain_discovery', retries=0, # 显式禁用重试 log_prints=True ) def run_subdomain_discovery_task( tool: str, command: str, timeout: int, output_file: str ) -> str: """ 运行单个子域名发现工具 Args: tool: 子域名发现工具名称（用于日志） command: 完整的扫描命令（已由 Flow 层使用命令构建器生成） timeout: 命令执行超时时间（秒） output_file: 输出文件完整路径（由 Flow 层生成，包含目录和文件名） Returns: str: 结果文件路径 Raises: ValueError: 参数验证失败 RuntimeError: 扫描执行失败 Note: - 扫描结果通过工具的 -o 参数写入结果文件 - 使用通用的 run_scan_command 函数执行扫描 - 日志文件统一随 workspace 管理，默认保留 7 天自动清理 - 文件命名格式：{tool}_{timestamp}_{uuid4}.txt - 示例：subfinder_20250116_142200_a3f2.txt, subfinder_20250116_142200_a3f2.log """ # 准备路径 output_file_path = Path(output_file) log_file = str(output_file_path.with_suffix('.log')) # 使用通用的扫描命令执行器 try: result = execute_and_wait( tool_name=tool, command=command, timeout=timeout, log_file=log_file # 明确指定日志文件路径 ) # 验证输出文件是否生成 if not output_file_path.exists(): logger.warning( "扫描工具 %s 未生成结果文件: %s (returncode: %d)", tool, str(output_file_path), result['returncode'] # 强制转换为字符串 ) return "" # 检查文件大小 file_size = output_file_path.stat().st_size if file_size == 0: logger.warning("扫描工具 %s 生成的结果文件为空: %s", tool, output_file_path) return "" # 空文件视为无效结果，与未生成文件的行为一致 logger.info( "✓ 扫描完成: %s - 结果文件: %s (%.2f KB)", tool, str(output_file_path), file_size / 1024 # 使用绝对路径 ) # 返回结果文件路径 return str(output_file_path) except RuntimeError: # 直接向上抛出（已在 execute_and_wait 中记录日志） raise except Exception as e: error_msg = f"扫描工具 {tool} 执行异常: {e}" logger.error(error_msg, exc_info=True) raise ================================================ FILE: backend/apps/scan/tasks/subdomain_discovery/save_domains_task.py ================================================ """ 保存域名任务 负责将验证后的域名批量保存到数据库 """ import logging import time from pathlib import Path from prefect import task from typing import List from dataclasses import dataclass from django.db import IntegrityError, OperationalError, DatabaseError from apps.asset.services.snapshot import SubdomainSnapshotsService from apps.common.validators import validate_domain logger = logging.getLogger(__name__) @dataclass class ServiceSet: """ Service 集合，用于依赖注入 封装所有需要的 Service 实例，便于测试和管理。 """ snapshot: SubdomainSnapshotsService @classmethod def create_default(cls) -> 'ServiceSet': """创建默认的 Service 集合""" return cls( snapshot=SubdomainSnapshotsService() ) @task( name='save_domains', retries=0, log_prints=True ) def save_domains_task( domains_file: str, scan_id: int, target_id: int = None, batch_size: int = 1000 ) -> dict: """ 流式批量保存域名到数据库 Args: domains_file: 域名文件路径（流式读取） scan_id: 扫描任务 ID target_id: 目标 ID（可选） batch_size: 批量保存大小 Returns: dict: { 'processed_records': int # 处理的域名总数（不是实际创建数） } Raises: ValueError: 参数验证失败（target_id为None或路径不是文件） FileNotFoundError: 域名文件不存在 RuntimeError: 数据库操作失败 IOError: 文件读取失败 Performance: - 流式读取文件，边读边保存 - 内存占用恒定（只存储一个 batch） - 默认batch_size=1000(平衡性能和内存) - 批次失败自动重试 Note: 由于使用 ignore_conflicts，无法返回实际创建的数量 """ logger.info("开始从文件流式保存域名到数据库: %s", domains_file) # 参数验证 if target_id is None: raise ValueError("target_id 不能为 None，必须指定目标ID") # 文件验证 file_path = Path(domains_file) if not file_path.exists(): raise FileNotFoundError(f"域名文件不存在: {domains_file}") if not file_path.is_file(): raise ValueError(f"路径不是文件: {domains_file}") batch_num = 0 failed_batches = [] # 记录失败的批次 total_domains = 0 # 总域名数 # 初始化 Service 集合（依赖注入） services = ServiceSet.create_default() try: # 流式读取并分批保存 batch = [] with open(domains_file, 'r', encoding='utf-8') as f: for line in f: domain = line.strip() # 验证域名格式（包含空行检查） try: validate_domain(domain) except ValueError as e: logger.warning("跳过无效域名: %s - %s", domain, e) continue # 只有通过验证的域名才添加到批次和计数 # 注意：不在此处过滤黑名单，最大化资产发现 batch.append(domain) total_domains += 1 # 达到批次大小，执行保存 if len(batch) >= batch_size: batch_num += 1 result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services) if not result['success']: failed_batches.append(batch_num) logger.warning("批次 %d 保存失败，已记录", batch_num) batch = [] # 清空批次 # 每20个批次输出进度(减少日志开销) if batch_num % 20 == 0: logger.info("进度: 已处理 %d 批次，%d 个域名", batch_num, total_domains) # 保存最后一批（可能不足 batch_size） if batch: batch_num += 1 result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services) if not result['success']: failed_batches.append(batch_num) # 输出最终统计 if failed_batches: error_msg = ( f"保存域名时出现失败批次，处理域名: {total_domains}，" f"失败批次: {failed_batches}" ) logger.error(error_msg) raise RuntimeError(error_msg) logger.info("✓ 保存完成 - 处理域名: %d（%d 批次）", total_domains, batch_num) return { 'processed_records': total_domains } except (IntegrityError, OperationalError, DatabaseError) as e: error_msg = f"数据库操作失败: {e}" logger.error(error_msg) raise RuntimeError(error_msg) from e except IOError as e: error_msg = f"文件读取失败: {e}" logger.error(error_msg) raise RuntimeError(error_msg) from e except Exception as e: error_msg = f"保存域名失败: {e}" logger.error(error_msg, exc_info=True) raise def _save_batch_with_retry( batch: List[str], scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3 ) -> dict: """ 保存一个批次的域名（带重试机制） Args: batch: 域名批次 scan_id: 扫描ID target_id: 目标ID batch_num: 批次编号 services: Service 集合（依赖注入） max_retries: 最大重试次数 Returns: dict: {'success': bool} Strategy: 使用 bulk_create + ignore_conflicts - 新域名：插入 (INSERT) - 重复域名：忽略（不更新，因为没有探测数据） """ # 调试日志：记录传入的参数 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)}") # 使用快照 DTO（包含完整的业务上下文） from apps.asset.dtos import SubdomainSnapshotDTO items = [ SubdomainSnapshotDTO( name=domain, scan_id=scan_id, target_id=target_id # 包含 target_id ) for domain in batch ] # 调试日志：记录第一个DTO的内容 if items: first_item = items[0] 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}") for attempt in range(max_retries): try: # DTO 已包含 target_id，无需额外传参 services.snapshot.save_and_sync(items) logger.debug("批次 %d: 已处理 %d 个域名", batch_num, len(batch)) return {'success': True} except (OperationalError, DatabaseError) as e: # 数据库连接/操作错误，可重试 if attempt < max_retries - 1: wait_time = 2 ** attempt # 指数退避: 1s, 2s, 4s logger.warning("批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100]) time.sleep(wait_time) else: logger.error("批次 %d 保存失败（已重试 %d 次）: %s", batch_num, max_retries, e) return {'success': False} except IntegrityError as e: # 数据完整性错误，不应重试 logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return {'success': False} except Exception as e: # 其他未知错误 logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) return {'success': False} return {'success': False} ================================================ FILE: backend/apps/scan/tasks/tests/test_task_backward_compatibility.py ================================================ """ Task 向后兼容性测试 Property 8: Task Backward Compatibility *For any* 任务调用，当仅提供 target_id 参数时，任务应该创建 DatabaseTargetProvider 并使用它进行数据访问，行为与改造前一致。 **Validates: Requirements 6.1, 6.2, 6.4, 6.5** """ import tempfile import pytest from pathlib import Path from unittest.mock import patch, MagicMock from hypothesis import given, strategies as st, settings from apps.scan.tasks.port_scan.export_hosts_task import export_hosts_task from apps.scan.tasks.site_scan.export_site_urls_task import export_site_urls_task from apps.scan.providers import ListTargetProvider # 生成有效域名的策略 def valid_domain_strategy(): """生成有效的域名""" label = st.text( alphabet=st.characters(whitelist_categories=('L',), min_codepoint=97, max_codepoint=122), min_size=2, max_size=10 ) return st.builds( lambda a, b, c: f"{a}.{b}.{c}", label, label, st.sampled_from(['com', 'net', 'org', 'io']) ) class TestExportHostsTaskBackwardCompatibility: """export_hosts_task 向后兼容性测试""" @given( target_id=st.integers(min_value=1, max_value=1000), hosts=st.lists(valid_domain_strategy(), min_size=1, max_size=10) ) @settings(max_examples=50, deadline=None) def test_property_8_legacy_mode_creates_database_provider(self, target_id, hosts): """ Property 8: Task Backward Compatibility (export_hosts_task) Feature: scan-target-provider, Property 8: Task Backward Compatibility **Validates: Requirements 6.1, 6.2, 6.4, 6.5** For any target_id, when calling export_hosts_task with only target_id, it should create a DatabaseTargetProvider and use it for data access. """ with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f: output_file = f.name try: # Mock Target 和 SubdomainService mock_target = MagicMock() mock_target.type = 'domain' mock_target.name = hosts[0] with patch('apps.scan.tasks.port_scan.export_hosts_task.DatabaseTargetProvider') as mock_provider_class, \ patch('apps.targets.services.TargetService') as mock_target_service: # 创建 mock provider 实例 mock_provider = MagicMock() mock_provider.iter_hosts.return_value = iter(hosts) mock_provider.get_blacklist_filter.return_value = None mock_provider_class.return_value = mock_provider # Mock TargetService mock_target_service.return_value.get_target.return_value = mock_target # 调用任务（传统模式：只传 target_id） result = export_hosts_task( output_file=output_file, target_id=target_id ) # 验证：应该创建了 DatabaseTargetProvider mock_provider_class.assert_called_once_with(target_id=target_id) # 验证：返回值包含必需字段 assert result['success'] is True assert result['output_file'] == output_file assert result['total_count'] == len(hosts) assert 'target_type' in result # 传统模式应该返回 target_type # 验证：文件内容正确 with open(output_file, 'r') as f: lines = [line.strip() for line in f.readlines()] assert lines == hosts finally: Path(output_file).unlink(missing_ok=True) def test_legacy_mode_with_provider_parameter(self): """测试当同时提供 target_id 和 provider 时，provider 优先""" with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f: output_file = f.name try: hosts = ['example.com', 'test.com'] provider = ListTargetProvider(targets=hosts) # 调用任务（同时提供 target_id 和 provider） result = export_hosts_task( output_file=output_file, target_id=123, # 应该被忽略 provider=provider ) # 验证：使用了 provider assert result['success'] is True assert result['total_count'] == len(hosts) assert 'target_type' not in result # Provider 模式不返回 target_type # 验证：文件内容正确 with open(output_file, 'r') as f: lines = [line.strip() for line in f.readlines()] assert lines == hosts finally: Path(output_file).unlink(missing_ok=True) def test_error_when_no_parameters(self): """测试当 target_id 和 provider 都未提供时抛出错误""" with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f: output_file = f.name try: with pytest.raises(ValueError, match="必须提供 target_id 或 provider 参数之一"): export_hosts_task(output_file=output_file) finally: Path(output_file).unlink(missing_ok=True) class TestExportSiteUrlsTaskBackwardCompatibility: """export_site_urls_task 向后兼容性测试""" def test_property_8_legacy_mode_uses_traditional_logic(self): """ Property 8: Task Backward Compatibility (export_site_urls_task) Feature: scan-target-provider, Property 8: Task Backward Compatibility **Validates: Requirements 6.1, 6.2, 6.4, 6.5** When calling export_site_urls_task with only target_id, it should use the traditional logic (_export_site_urls_legacy). """ with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f: output_file = f.name try: target_id = 123 # Mock HostPortMappingService mock_associations = [ {'host': 'example.com', 'port': 80}, {'host': 'test.com', 'port': 443}, ] with patch('apps.scan.tasks.site_scan.export_site_urls_task.HostPortMappingService') as mock_service_class, \ patch('apps.scan.tasks.site_scan.export_site_urls_task.BlacklistService') as mock_blacklist_service: # Mock HostPortMappingService mock_service = MagicMock() mock_service.iter_host_port_by_target.return_value = iter(mock_associations) mock_service_class.return_value = mock_service # Mock BlacklistService mock_blacklist = MagicMock() mock_blacklist.get_rules.return_value = [] mock_blacklist_service.return_value = mock_blacklist # 调用任务（传统模式：只传 target_id） result = export_site_urls_task( output_file=output_file, target_id=target_id ) # 验证：返回值包含传统模式的字段 assert result['success'] is True assert result['output_file'] == output_file assert result['total_urls'] == 2 # 80 端口生成 1 个 URL，443 端口生成 1 个 URL assert 'association_count' in result # 传统模式应该返回 association_count assert result['association_count'] == 2 assert result['source'] == 'host_port' # 验证：文件内容正确 with open(output_file, 'r') as f: lines = [line.strip() for line in f.readlines()] assert 'http://example.com' in lines assert 'https://test.com' in lines finally: Path(output_file).unlink(missing_ok=True) def test_provider_mode_uses_provider_logic(self): """测试当提供 provider 时使用 Provider 模式""" with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f: output_file = f.name try: urls = ['https://example.com', 'https://test.com'] provider = ListTargetProvider(targets=urls) # 调用任务（Provider 模式） result = export_site_urls_task( output_file=output_file, provider=provider ) # 验证：使用了 provider assert result['success'] is True assert result['total_urls'] == len(urls) assert 'association_count' not in result # Provider 模式不返回 association_count assert result['source'] == 'provider' # 验证：文件内容正确 with open(output_file, 'r') as f: lines = [line.strip() for line in f.readlines()] assert lines == urls finally: Path(output_file).unlink(missing_ok=True) def test_error_when_no_parameters(self): """测试当 target_id 和 provider 都未提供时抛出错误""" with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as f: output_file = f.name try: with pytest.raises(ValueError, match="必须提供 target_id 或 provider 参数之一"): export_site_urls_task(output_file=output_file) finally: Path(output_file).unlink(missing_ok=True) ================================================ FILE: backend/apps/scan/tasks/url_fetch/__init__.py ================================================ """ URL 获取任务模块 包含 URL 获取相关的所有原子任务： - export_sites_task: 导出站点 URL 列表（用于 katana 等爬虫） - run_url_fetcher_task: 执行 URL 获取工具 - merge_and_deduplicate_urls_task: 合并去重 URL - clean_urls_task: 使用 uro 清理 URL - save_urls_task: 保存 URL 到数据库 - run_and_stream_save_urls_task: 流式验证并保存存活的 URL """ from .export_sites_task import export_sites_task from .run_url_fetcher_task import run_url_fetcher_task from .merge_and_deduplicate_urls_task import merge_and_deduplicate_urls_task from .clean_urls_task import clean_urls_task from .save_urls_task import save_urls_task from .run_and_stream_save_urls_task import run_and_stream_save_urls_task __all__ = [ 'export_sites_task', 'run_url_fetcher_task', 'merge_and_deduplicate_urls_task', 'clean_urls_task', 'save_urls_task', 'run_and_stream_save_urls_task', ] ================================================ FILE: backend/apps/scan/tasks/url_fetch/clean_urls_task.py ================================================ """ URL 清理任务 使用 uro 工具清理合并后的 URL 列表： - 去除重复和相似的 URL - 根据扩展名过滤（whitelist/blacklist） - 智能过滤无效 URL """ import logging import subprocess from pathlib import Path from datetime import datetime from prefect import task from typing import Optional from apps.scan.utils import execute_and_wait logger = logging.getLogger(__name__) @task( name='clean_urls_with_uro', retries=1, log_prints=True ) def clean_urls_task( input_file: str, output_dir: str, timeout: int = 60, whitelist: Optional[list] = None, blacklist: Optional[list] = None, filters: Optional[list] = None ) -> dict: """ 使用 uro 清理 URL 列表 Args: input_file: 输入的 URL 文件路径 output_dir: 输出目录 timeout: 超时时间（秒） whitelist: 只保留指定扩展名的 URL blacklist: 排除指定扩展名的 URL filters: 额外的过滤规则 Returns: dict: { 'success': bool, 'output_file': str, 'input_count': int, 'output_count': int, 'removed_count': int } """ input_path = Path(input_file) output_path = Path(output_dir) # 1. 验证输入文件 if not input_path.exists(): logger.error("输入文件不存在: %s", input_file) return { 'success': False, 'output_file': input_file, 'input_count': 0, 'output_count': 0, 'removed_count': 0, 'error': '输入文件不存在' } # 2. 统计输入 URL 数量 try: result = subprocess.run( ['wc', '-l', str(input_path)], capture_output=True, text=True, check=True ) input_count = int(result.stdout.strip().split()[0]) except Exception as e: logger.warning("统计输入文件行数失败: %s", e) input_count = 0 with open(input_path, 'r') as f: input_count = sum(1 for line in f if line.strip()) if input_count == 0: logger.warning("输入文件为空，跳过 uro 清理") return { 'success': True, 'output_file': input_file, 'input_count': 0, 'output_count': 0, 'removed_count': 0 } logger.info("开始 uro 清理 - 输入 URL 数: %d", input_count) # 3. 生成输出文件路径 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') output_file = output_path / f"urls_cleaned_{timestamp}.txt" # 4. 构建 uro 命令 cmd_parts = ['uro', '-i', str(input_path), '-o', str(output_file)] if whitelist: cmd_parts.extend(['-w'] + [str(w) for w in whitelist]) if blacklist: cmd_parts.extend(['-b'] + [str(b) for b in blacklist]) if filters: cmd_parts.extend(['-f'] + [str(f) for f in filters]) # 5. 构建命令字符串 command = ' '.join(cmd_parts) log_file = str(output_path / f"uro_{timestamp}.log") logger.debug("uro 命令: %s", command) # 6. 使用 execute_and_wait 执行（会自动发送通知） try: result = execute_and_wait( tool_name='uro', command=command, timeout=timeout, log_file=log_file ) if result['returncode'] != 0: logger.warning( "uro 返回非零状态码: %d", result['returncode'] ) # uro 可能正常完成但返回非零，检查输出文件 if not output_file.exists(): return { 'success': False, 'output_file': input_file, 'input_count': input_count, 'output_count': input_count, 'removed_count': 0, 'error': f'uro 执行失败 (returncode: {result["returncode"]})' } except RuntimeError as e: # execute_and_wait 超时或执行失败会抛出 RuntimeError logger.error("uro 执行失败: %s", e) return { 'success': False, 'output_file': input_file, 'input_count': input_count, 'output_count': input_count, 'removed_count': 0, 'error': str(e) } except Exception as e: logger.error("uro 执行异常: %s", e) return { 'success': False, 'output_file': input_file, 'input_count': input_count, 'output_count': input_count, 'removed_count': 0, 'error': str(e) } # 7. 统计清理后的 URL 数量 output_count = 0 if output_file.exists(): try: result = subprocess.run( ['wc', '-l', str(output_file)], capture_output=True, text=True, check=True ) output_count = int(result.stdout.strip().split()[0]) except Exception: with open(output_file, 'r') as f: output_count = sum(1 for line in f if line.strip()) else: logger.warning("uro 未生成输出文件，使用原始文件") return { 'success': False, 'output_file': input_file, 'input_count': input_count, 'output_count': input_count, 'removed_count': 0, 'error': '未生成输出文件' } removed_count = input_count - output_count logger.info( "✓ uro 清理完成 - 输入: %d, 输出: %d, 移除: %d (%.1f%%)", input_count, output_count, removed_count, (removed_count / input_count * 100) if input_count > 0 else 0 ) return { 'success': True, 'output_file': str(output_file), 'input_count': input_count, 'output_count': output_count, 'removed_count': removed_count } ================================================ FILE: backend/apps/scan/tasks/url_fetch/export_sites_task.py ================================================ """ 导出站点 URL 列表任务 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库导出 2. Provider 模式：使用 TargetProvider 从任意数据源导出 数据源: WebSite.url → Default（用于 katana 等爬虫工具） """ import logging from typing import Optional from pathlib import Path from prefect import task from apps.scan.services.target_export_service import ( export_urls_with_fallback, DataSource, ) from apps.scan.providers import TargetProvider, DatabaseTargetProvider logger = logging.getLogger(__name__) @task( name='export_sites_for_url_fetch', retries=1, log_prints=True ) def export_sites_task( output_file: str, target_id: Optional[int] = None, scan_id: Optional[int] = None, provider: Optional[TargetProvider] = None, batch_size: int = 1000 ) -> dict: """ 导出站点 URL 列表到文件（用于 katana 等爬虫工具） 支持两种模式： 1. 传统模式（向后兼容）：传入 target_id，从数据库导出 2. Provider 模式：传入 provider，从任意数据源导出 数据源优先级（回退链，仅传统模式）： 1. WebSite 表 - 站点级别 URL 2. 默认生成 - 根据 Target 类型生成 http(s)://target_name Args: output_file: 输出文件路径 target_id: 目标 ID（传统模式，向后兼容） scan_id: 扫描 ID（保留参数，兼容旧调用） provider: TargetProvider 实例（新模式） batch_size: 批次大小（内存优化） Returns: dict: { 'output_file': str, # 输出文件路径 'asset_count': int, # 资产数量 } Raises: ValueError: 参数错误 RuntimeError: 执行失败 """ # 参数验证：至少提供一个 if target_id is None and provider is None: raise ValueError("必须提供 target_id 或 provider 参数之一") # Provider 模式：使用 TargetProvider 导出 if provider is not None: logger.info("使用 Provider 模式 - Provider: %s", type(provider).__name__) return _export_with_provider(output_file, provider) # 传统模式：使用 export_urls_with_fallback logger.info("使用传统模式 - Target ID: %d", target_id) result = export_urls_with_fallback( target_id=target_id, output_file=output_file, sources=[DataSource.WEBSITE, DataSource.DEFAULT], batch_size=batch_size, ) logger.info( "站点 URL 导出完成 - source=%s, count=%d", result['source'], result['total_count'] ) # 保持返回值格式不变（向后兼容） return { 'output_file': result['output_file'], 'asset_count': result['total_count'], } def _export_with_provider(output_file: str, provider: TargetProvider) -> dict: """使用 Provider 导出 URL""" output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) total_count = 0 blacklist_filter = provider.get_blacklist_filter() with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for url in provider.iter_urls(): # 应用黑名单过滤（如果有） if blacklist_filter and not blacklist_filter.is_allowed(url): continue f.write(f"{url}\n") total_count += 1 if total_count % 1000 == 0: logger.info("已导出 %d 个 URL...", total_count) logger.info("✓ URL 导出完成 - 总数: %d, 文件: %s", total_count, str(output_path)) return { 'output_file': str(output_path), 'asset_count': total_count, } ================================================ FILE: backend/apps/scan/tasks/url_fetch/merge_and_deduplicate_urls_task.py ================================================ """ 合并并去重 URL 任务 合并多个工具的输出文件，去重并验证 URL 格式 性能优化：使用系统命令处理大文件 """ import logging import uuid import subprocess from pathlib import Path from datetime import datetime from prefect import task from typing import List logger = logging.getLogger(__name__) @task( name='merge_and_deduplicate_urls', retries=1, log_prints=True ) def merge_and_deduplicate_urls_task( result_files: List[str], result_dir: str ) -> str: """ 合并扫描结果并去重（高性能流式处理） 流程： 1. 使用 LC_ALL=C sort -u 直接处理多文件 2. 排序去重一步完成 3. 返回去重后的 URL 文件路径 Args: result_files: 结果文件路径列表 result_dir: 结果目录 Returns: str: 去重后的 URL 文件路径 Raises: RuntimeError: 处理失败 """ logger.info("开始合并并去重 %d 个结果文件（系统命令优化）", len(result_files)) result_path = Path(result_dir) # 验证文件存在性 valid_files = [] for file_path_str in result_files: file_path = Path(file_path_str) if file_path.exists(): valid_files.append(str(file_path)) else: logger.warning("结果文件不存在: %s", file_path) if not valid_files: raise RuntimeError("所有结果文件都不存在") # 生成输出文件路径 timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') short_uuid = uuid.uuid4().hex[:4] merged_file = result_path / f"merged_{timestamp}_{short_uuid}.txt" try: # 使用系统命令一步完成: 排序去重 cmd = f"LC_ALL=C sort -u {' '.join(valid_files)} -o {merged_file}" logger.debug("执行命令: %s", cmd) # 按输入文件总行数动态计算超时时间 total_lines = 0 for file_path in valid_files: try: line_count_proc = subprocess.run( ["wc", "-l", file_path], check=True, capture_output=True, text=True, ) total_lines += int(line_count_proc.stdout.strip().split()[0]) except (subprocess.CalledProcessError, ValueError, IndexError): continue timeout = 3600 if total_lines > 0: # 按行数线性计算：每行约 0.1 秒 base_per_line = 0.1 est = int(total_lines * base_per_line) timeout = max(600, est) logger.info( "URL 合并去重 timeout 自动计算: 输入总行数=%d, timeout=%d秒", total_lines, timeout, ) result = subprocess.run( cmd, shell=True, check=True, timeout=timeout ) logger.debug("✓ 合并去重完成") # 统计结果 if not merged_file.exists(): raise RuntimeError("合并文件未被创建") # 优先使用 wc -l 统计行数，大文件性能更好 try: line_count_proc = subprocess.run( ["wc", "-l", str(merged_file)], check=True, capture_output=True, text=True, ) unique_count = int(line_count_proc.stdout.strip().split()[0]) except (subprocess.CalledProcessError, ValueError, IndexError) as e: logger.warning( "wc -l 统计失败（文件: %s），降级为 Python 逐行统计 - 错误: %s", merged_file, e, ) unique_count = 0 with open(merged_file, "r", encoding="utf-8") as file_obj: for _ in file_obj: unique_count += 1 if unique_count == 0: raise RuntimeError("未找到任何有效 URL") file_size = merged_file.stat().st_size logger.info( "✓ 合并去重完成 - 去重后: %d 个 URL, 文件大小: %.2f KB", unique_count, file_size / 1024, ) return str(merged_file) except subprocess.TimeoutExpired: error_msg = "合并去重超时（>60分钟），请检查数据量或系统资源" logger.warning(error_msg) # 超时是可预期的 raise RuntimeError(error_msg) except subprocess.CalledProcessError as e: error_msg = f"系统命令执行失败: {e.stderr if e.stderr else str(e)}" logger.error(error_msg) raise RuntimeError(error_msg) from e except IOError as e: error_msg = f"文件读写失败: {e}" logger.error(error_msg) raise RuntimeError(error_msg) from e except Exception as e: error_msg = f"合并去重失败: {e}" logger.error(error_msg, exc_info=True) raise ================================================ FILE: backend/apps/scan/tasks/url_fetch/run_and_stream_save_urls_task.py ================================================ """ 基于 execute_stream 的流式 URL 验证任务 主要功能： 1. 实时执行 httpx 命令验证 URL 2. 流式处理命令输出，解析 URL 信息 3. 批量保存到数据库（Endpoint 表） 4. 避免一次性加载所有 URL 到内存 数据流向： httpx 命令执行 → 流式输出 → 实时解析 → 批量保存 → Endpoint 表 优化策略： - 使用 execute_stream 实时处理输出 - 流式处理避免内存溢出 - 批量操作减少数据库交互 - 保存所有有效 URL（包括 4xx/5xx，便于安全分析） """ import logging import json import subprocess import time from pathlib import Path from prefect import task from typing import Generator, Optional, Dict, Any from django.db import IntegrityError, OperationalError, DatabaseError from psycopg2 import InterfaceError from dataclasses import dataclass from urllib.parse import urlparse from apps.asset.services.snapshot import EndpointSnapshotsService from apps.scan.utils import execute_stream logger = logging.getLogger(__name__) @dataclass class ServiceSet: """ Service 集合，用于依赖注入 提供 URL 验证所需的 Service 实例 """ snapshot: EndpointSnapshotsService @classmethod def create_default(cls) -> "ServiceSet": """创建默认的 Service 集合""" return cls( snapshot=EndpointSnapshotsService() ) def _sanitize_string(value: str) -> str: """ 清理字符串中的 NUL 字符和其他不可打印字符 PostgreSQL 不允许字符串字段包含 NUL (0x00) 字符 """ if not value: return value # 移除 NUL 字符 return value.replace('\x00', '') def _extract_hostname(url: str) -> str: """ 从 URL 提取主机名 Args: url: URL 字符串 Returns: str: 提取的主机名（小写） """ try: if url: parsed = urlparse(url) if parsed.hostname: return parsed.hostname # 降级方案：手动提取 return url.replace('http://', '').replace('https://', '').split('/')[0].split(':')[0] return '' except Exception as e: logger.debug("提取主机名失败: %s", e) return '' class HttpxRecord: """httpx 扫描记录数据类""" def __init__(self, data: Dict[str, Any]): self.url = _sanitize_string(data.get('url', '')) self.input = _sanitize_string(data.get('input', '')) self.title = _sanitize_string(data.get('title', '')) self.status_code = data.get('status_code') # int，不需要清理 self.content_length = data.get('content_length') # int，不需要清理 self.content_type = _sanitize_string(data.get('content_type', '')) self.location = _sanitize_string(data.get('location', '')) self.webserver = _sanitize_string(data.get('webserver', '')) self.response_body = _sanitize_string(data.get('body', '')) 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 self.vhost = data.get('vhost') # bool，不需要清理 self.failed = data.get('failed', False) # bool，不需要清理 self.response_headers = _sanitize_string(data.get('raw_header', '')) # 从 URL 中提取主机名（优先使用 httpx 返回的 host，否则自动提取） httpx_host = _sanitize_string(data.get('host', '')) self.host = httpx_host if httpx_host else _extract_hostname(self.url) def _parse_and_validate_line(line: str) -> Optional[HttpxRecord]: """ 解析并验证单行 httpx JSON 输出 Args: line: 单行输出数据 Returns: Optional[HttpxRecord]: 有效的 httpx 记录，或 None 如果验证失败 """ try: # 清理 NUL 字符后再解析 JSON line = _sanitize_string(line) # 解析 JSON try: line_data = json.loads(line, strict=False) except json.JSONDecodeError: return None # 验证数据类型 if not isinstance(line_data, dict): logger.info("跳过非字典数据") return None # 创建记录 record = HttpxRecord(line_data) # 验证必要字段 if not record.url: logger.info("URL 为空，跳过 - 数据: %s", str(line_data)[:200]) return None return record except Exception: logger.info("跳过无法解析的行: %s", line[:100] if line else 'empty') return None def _parse_httpx_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[HttpxRecord, None, None]: """ 流式解析 httpx 命令输出 Args: cmd: httpx 命令 tool_name: 工具名称（'httpx'） cwd: 工作目录 shell: 是否使用 shell 执行 timeout: 命令执行超时时间（秒） log_file: 日志文件路径 Yields: HttpxRecord: 每次 yield 一条存活的 URL 记录 """ logger.info("开始流式解析 httpx 输出 - 命令: %s", cmd) total_lines = 0 error_lines = 0 valid_records = 0 try: # 使用 execute_stream 获取实时输出流 for line in execute_stream( cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file ): total_lines += 1 # 解析并验证单行数据 record = _parse_and_validate_line(line) if record is None: error_lines += 1 continue valid_records += 1 # yield 一条有效记录（存活的 URL） yield record # 每处理 100 条记录输出一次进度 if valid_records % 100 == 0: logger.info("已解析 %d 条存活的 URL...", valid_records) except subprocess.TimeoutExpired as e: error_msg = f"流式解析命令输出超时 - 命令执行超过 {timeout} 秒" logger.warning(error_msg) # 超时是可预期的，使用 warning 级别 raise RuntimeError(error_msg) from e except Exception as e: logger.error("流式解析命令输出失败: %s", e, exc_info=True) raise logger.info( "流式解析完成 - 总行数: %d, 存活 URL: %d, 无效/死链: %d", total_lines, valid_records, error_lines ) def _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None: """ 验证任务参数的有效性 Args: cmd: 扫描命令 target_id: 目标ID scan_id: 扫描ID cwd: 工作目录 Raises: ValueError: 参数验证失败 """ if not cmd or not cmd.strip(): raise ValueError("扫描命令不能为空") if target_id is None: raise ValueError("target_id 不能为 None，必须指定目标ID") if scan_id is None: raise ValueError("scan_id 不能为 None，必须指定扫描ID") # 验证工作目录（如果指定） if cwd and not Path(cwd).exists(): raise ValueError(f"工作目录不存在: {cwd}") def _build_final_result(stats: dict) -> dict: """ 构建最终结果并输出日志 Args: stats: 处理统计信息 Returns: dict: 最终结果 """ logger.info( "✓ 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", stats['processed_records'], stats['batch_count'], stats['created_endpoints'], stats['skipped_failed'] ) # 如果没有创建任何记录，给出明确提示 if stats['created_endpoints'] == 0: logger.warning( "⚠️ 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" ) return { 'processed_records': stats['processed_records'], 'created_endpoints': stats['created_endpoints'], 'skipped_failed': stats['skipped_failed'] } def _cleanup_resources(data_generator) -> None: """ 清理任务资源 Args: data_generator: 数据生成器 """ # 确保生成器被正确关闭 if data_generator is not None: try: data_generator.close() logger.debug("已关闭数据生成器") except Exception as gen_close_error: logger.error("关闭生成器时出错: %s", gen_close_error) def _save_batch_with_retry( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3 ) -> dict: """ 保存一个批次的 URL（带重试机制） Args: batch: 数据批次 scan_id: 扫描任务ID target_id: 目标ID batch_num: 批次编号 services: Service 集合 max_retries: 最大重试次数 Returns: dict: { 'success': bool, 'created_endpoints': int, 'skipped_failed': int } """ for attempt in range(max_retries): try: stats = _save_batch(batch, scan_id, target_id, batch_num, services) return { 'success': True, 'created_endpoints': stats.get('created_endpoints', 0), 'skipped_failed': stats.get('skipped_failed', 0) } except IntegrityError as e: # 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 logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return { 'success': False, 'created_endpoints': 0, 'skipped_failed': 0 } except (OperationalError, DatabaseError, InterfaceError) as e: # 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 if attempt < max_retries - 1: wait_time = 2 ** attempt logger.warning( "批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100] ) time.sleep(wait_time) else: logger.error( "批次 %d 保存失败（已重试 %d 次），将终止任务: %s", batch_num, max_retries, e, exc_info=True, ) # 让上层 Task 感知失败，从而标记整个扫描为失败 raise except Exception as e: # 其他未知异常也不再吞掉，直接抛出以便 Flow 标记为失败 logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) raise # 理论上不会走到这里，保留兜底返回值以满足类型约束 return { 'success': False, 'created_endpoints': 0, 'skipped_failed': 0 } def _save_batch( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet ) -> dict: """ 保存一个批次的数据到数据库 Args: batch: 数据批次，list of HttpxRecord scan_id: 扫描任务 ID target_id: 目标 ID batch_num: 批次编号 services: Service 集合 Returns: dict: 包含创建和跳过记录的统计信息 """ # 参数验证 if not isinstance(batch, list): raise TypeError(f"batch 必须是 list 类型，实际: {type(batch).__name__}") if not batch: logger.debug("批次 %d 为空，跳过处理", batch_num) return { 'created_endpoints': 0, 'skipped_failed': 0 } # 统计变量 skipped_failed = 0 # 批量构造 Endpoint 快照 DTO from apps.asset.dtos.snapshot import EndpointSnapshotDTO snapshots = [] for record in batch: # 跳过失败的请求 if record.failed: skipped_failed += 1 continue try: # Endpoint URL 直接使用原始值，不做标准化 # 原因：Endpoint URL 来自 waymore/katana，包含路径和参数，标准化可能改变含义 url = record.input if record.input else record.url # 提取 host 字段（域名或IP地址） host = record.host if record.host else '' dto = EndpointSnapshotDTO( scan_id=scan_id, target_id=target_id, url=url, host=host, title=record.title if record.title else '', status_code=record.status_code, content_length=record.content_length, location=record.location if record.location else '', webserver=record.webserver if record.webserver else '', content_type=record.content_type if record.content_type else '', tech=record.tech if isinstance(record.tech, list) else [], response_body=record.response_body if record.response_body else '', vhost=record.vhost if record.vhost else False, matched_gf_patterns=[], response_headers=record.response_headers if record.response_headers else '', ) snapshots.append(dto) except Exception as e: logger.error("处理记录失败: %s，错误: %s", record.url, e) continue if snapshots: try: # 通过快照服务统一保存快照并同步到资产表 services.snapshot.save_and_sync(snapshots) count = len(snapshots) logger.info( "批次 %d: 保存了 %d 个存活的 URL（共 %d 个，跳过失败: %d）", batch_num, count, len(batch), skipped_failed ) return { 'created_endpoints': count, 'skipped_failed': skipped_failed } except Exception as e: logger.error("批次 %d 批量保存失败: %s", batch_num, e) raise return { 'created_endpoints': 0, 'skipped_failed': skipped_failed } def _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None: """ 累加批次统计信息 Args: total_stats: 总统计信息字典 batch_result: 批次结果字典 """ total_stats['created_endpoints'] += batch_result.get('created_endpoints', 0) total_stats['skipped_failed'] += batch_result.get('skipped_failed', 0) def _process_batch( batch: list, scan_id: int, target_id: int, batch_num: int, total_stats: dict, failed_batches: list, services: ServiceSet ) -> None: """ 处理单个批次 Args: batch: 数据批次 scan_id: 扫描ID target_id: 目标ID batch_num: 批次编号 total_stats: 总统计信息 failed_batches: 失败批次列表 services: Service 集合（必须，依赖注入） """ result = _save_batch_with_retry( batch, scan_id, target_id, batch_num, services ) # 累计统计信息（失败时可能有部分数据已保存） _accumulate_batch_stats(total_stats, result) if not result['success']: failed_batches.append(batch_num) logger.warning( "批次 %d 保存失败，但已累计统计信息：创建端点=%d", batch_num, result.get('created_endpoints', 0) ) def _process_records_in_batches( data_generator, scan_id: int, target_id: int, batch_size: int, services: ServiceSet ) -> dict: """ 流式处理记录并分批保存 Args: data_generator: 数据生成器 scan_id: 扫描ID target_id: 目标ID batch_size: 批次大小 services: Service 集合 Returns: dict: 处理统计信息 Raises: RuntimeError: 存在失败批次时抛出 """ total_records = 0 batch_num = 0 failed_batches = [] batch = [] # 统计信息 total_stats = { 'created_endpoints': 0, 'skipped_failed': 0 } # 流式读取生成器并分批保存 for record in data_generator: batch.append(record) total_records += 1 # 达到批次大小，执行保存 if len(batch) >= batch_size: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) batch = [] # 清空批次 # 每 10 个批次输出进度 if batch_num % 10 == 0: logger.info("进度: 已处理 %d 批次，%d 条记录", batch_num, total_records) # 保存最后一批 if batch: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) # 检查失败批次 if failed_batches: error_msg = ( f"流式保存 URL 验证结果时出现失败批次，处理记录: {total_records}，" f"失败批次: {failed_batches}" ) logger.warning(error_msg) raise RuntimeError(error_msg) return { 'processed_records': total_records, 'batch_count': batch_num, **total_stats } @task(name="run_and_stream_save_urls", retries=0) def run_and_stream_save_urls_task( cmd: str, tool_name: str, scan_id: int, target_id: int, cwd: Optional[str] = None, shell: bool = False, batch_size: int = 100, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> dict: """ 执行 httpx 验证并流式保存存活的 URL 该任务将： 1. 验证输入参数 2. 初始化资源（缓存、生成器） 3. 流式处理记录并分批保存 4. 构建并返回结果统计 Args: cmd: httpx 命令 tool_name: 工具名称（'httpx'） scan_id: 扫描任务 ID target_id: 目标 ID cwd: 工作目录（可选） shell: 是否使用 shell 执行（默认 False） batch_size: 批次大小（默认 500） timeout: 超时时间（秒） log_file: 日志文件路径 Returns: dict: { 'processed_records': int, # 处理的记录总数 'created_endpoints': int, # 创建的端点记录数 'skipped_failed': int, # 因请求失败跳过的记录数 } Raises: ValueError: 参数验证失败 RuntimeError: 命令执行或数据库操作失败 subprocess.TimeoutExpired: 命令执行超时 """ logger.info( "开始执行流式 URL 验证任务 - target_id=%s, 超时=%s秒, 命令: %s", target_id, timeout if timeout else '无限制', cmd ) data_generator = None try: # 1. 验证参数 _validate_task_parameters(cmd, target_id, scan_id, cwd) # 2. 初始化资源 data_generator = _parse_httpx_stream_output( cmd, tool_name, cwd, shell, timeout, log_file ) services = ServiceSet.create_default() # 3. 流式处理记录并分批保存 stats = _process_records_in_batches( data_generator, scan_id, target_id, batch_size, services ) # 4. 构建最终结果 return _build_final_result(stats) except subprocess.TimeoutExpired: # 超时异常直接向上传播，保留异常类型 logger.warning( "⚠️ URL 验证任务超时 - target_id=%s, 超时=%s秒", target_id, timeout ) raise # 直接重新抛出，不包装 except Exception as e: error_msg = f"流式执行 URL 验证任务失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: # 5. 清理资源 _cleanup_resources(data_generator) ================================================ FILE: backend/apps/scan/tasks/url_fetch/run_url_fetcher_task.py ================================================ """ 执行 URL 获取工具任务 负责运行单个 URL 获取工具（waymore、katana 等）。 注意： - 输入文件（domains_file 或 sites_file）和命令的构建在 Flow 层完成 - 任务内部只负责执行已经构建好的命令并校验 / 统计结果 """ import logging from pathlib import Path from prefect import task from apps.scan.utils import execute_and_wait logger = logging.getLogger(__name__) @task( name='run_url_fetcher', retries=0, # 不重试，工具本身会处理 log_prints=True ) def run_url_fetcher_task( tool_name: str, command: str, timeout: int, output_file: str ) -> dict: """ 执行单个 URL 获取工具 Args: tool_name: 工具名称 command: 完整的命令字符串（由 Flow 层使用命令构建器生成） timeout: 命令执行超时时间（秒） output_file: 输出文件完整路径 Returns: dict: { 'tool': str, # 工具名称 'output_file': str, # 输出文件路径 'url_count': int, # 发现的 URL 数量 'target_count': int, # 处理的目标数量（占位，始终为 1） 'success': bool } """ output_file_path = Path(output_file) log_file = str(output_file_path.with_suffix('.log')) try: logger.info("开始执行 URL 获取工具 %s", tool_name) # 使用通用命令执行器 result = execute_and_wait( tool_name=tool_name, command=command, timeout=timeout, log_file=log_file ) # 验证输出文件是否生成 if not output_file_path.exists(): logger.warning( "URL 获取工具 %s 未生成结果文件: %s (returncode: %d)", tool_name, str(output_file_path), result['returncode'] ) return { 'tool': tool_name, 'output_file': output_file, 'url_count': 0, 'target_count': 0, 'success': False } # 检查文件大小 file_size = output_file_path.stat().st_size if file_size == 0: logger.warning("URL 获取工具 %s 生成的结果文件为空: %s", tool_name, output_file_path) return { 'tool': tool_name, 'output_file': output_file, 'url_count': 0, 'target_count': 0, 'success': False } # 统计 URL 数量（不在此处去重，全局去重交由 merge_and_deduplicate_urls_task 处理） final_count = 0 with open(output_file, 'r') as f: final_count = sum(1 for line in f if line.strip()) logger.info( "✓ URL 获取工具 %s 完成 - 结果文件: %s (URL 数量: %d)", tool_name, str(output_file_path), final_count ) return { 'tool': tool_name, 'output_file': output_file, 'url_count': final_count, 'target_count': 1, 'success': final_count > 0 } except RuntimeError: # 直接向上抛出（execute_and_wait 已记录详细日志） raise except Exception as e: error_msg = f"URL 获取工具 {tool_name} 执行异常: {e}" logger.error(error_msg, exc_info=True) raise ================================================ FILE: backend/apps/scan/tasks/url_fetch/save_urls_task.py ================================================ """ 保存 URL 到数据库任务 批量保存发现的 URL 到 Endpoint 表 支持批量插入和去重 """ import logging from pathlib import Path from prefect import task from typing import List, Optional from urllib.parse import urlparse from dataclasses import dataclass logger = logging.getLogger(__name__) @dataclass class ParsedURL: """解析后的 URL 数据""" url: str domain: str path: str query: Optional[str] method: str = 'GET' # 默认方法 def _parse_url(url: str) -> Optional[ParsedURL]: """ 解析 URL 提取各个组件 Args: url: 完整 URL Returns: ParsedURL 或 None（如果解析失败） """ try: # 确保有协议 if not url.startswith(('http://', 'https://')): url = f'http://{url}' parsed = urlparse(url) # 提取域名 domain = parsed.netloc if not domain: return None # 提取路径（默认为 /） path = parsed.path if parsed.path else '/' # 提取查询参数 query = parsed.query if parsed.query else None # 重建完整 URL（标准化） scheme = parsed.scheme if parsed.scheme else 'http' full_url = f"{scheme}://{domain}{path}" if query: full_url = f"{full_url}?{query}" return ParsedURL( url=full_url, domain=domain, path=path, query=query ) except Exception as e: logger.debug(f"解析 URL 失败 {url}: {e}") return None @task( name='save_urls', retries=1, log_prints=True ) def save_urls_task( urls_file: str, scan_id: int, target_id: int, batch_size: int = 1000 ) -> dict: """ 保存 URL 到数据库 Args: urls_file: URL 文件路径 scan_id: 扫描 ID target_id: 目标 ID batch_size: 批次大小 Returns: dict: { 'saved_urls': int, # 保存的 URL 数量 'total_urls': int, # 总 URL 数量 'skipped_urls': int # 跳过的 URL 数量 } """ try: logger.info(f"开始保存 URL 到数据库 - 扫描ID: {scan_id}, 目标ID: {target_id}") # 导入快照服务和 DTO from apps.asset.services.snapshot import EndpointSnapshotsService from apps.asset.dtos.snapshot import EndpointSnapshotDTO # 创建快照服务（统一负责快照 + 资产双写） snapshots_service = EndpointSnapshotsService() # 按批次流式读取并解析 URL，避免一次性加载全部到内存 total_urls = 0 invalid_urls = 0 valid_urls = 0 saved_count = 0 skipped_count = 0 batch_index = 0 current_batch: list[EndpointSnapshotDTO] = [] with open(urls_file, 'r') as f: for line in f: url = line.strip() if not url: continue total_urls += 1 # 解析 URL parsed = _parse_url(url) if not parsed: invalid_urls += 1 continue valid_urls += 1 current_batch.append( EndpointSnapshotDTO( scan_id=scan_id, url=parsed.url, host=parsed.domain, # 设置 host 字段 target_id=target_id, # 用于同步到资产表 ) ) # 达到批次大小时写入数据库 if len(current_batch) >= batch_size: batch_index += 1 try: snapshots_service.save_and_sync(current_batch) created_count = len(current_batch) saved_count += created_count logger.debug(f"批次 {batch_index}: 保存 {created_count} 个 URL") except Exception as e: logger.error(f"批量保存失败（批次 {batch_index}）: {e}") skipped_count += len(current_batch) finally: current_batch = [] # 处理最后不足一个批次的 URL if current_batch: batch_index += 1 try: snapshots_service.save_and_sync(current_batch) created_count = len(current_batch) saved_count += created_count logger.debug(f"批次 {batch_index}: 保存 {created_count} 个 URL") except Exception as e: logger.error(f"批量保存失败（批次 {batch_index}）: {e}") skipped_count += len(current_batch) if valid_urls == 0: logger.warning("没有有效的 URL 需要保存") return { 'saved_urls': 0, 'total_urls': total_urls, 'skipped_urls': invalid_urls, } logger.info( "准备保存 %d 个有效 URL（总计: %d，无效: %d）", valid_urls, total_urls, invalid_urls, ) # 计算最终跳过的数量（包括无效 URL 和保存失败的 URL） final_skipped = total_urls - saved_count logger.info( f"✓ URL 保存完成 - 保存: {saved_count}, " f"跳过: {final_skipped}（包括重复和无效）, 总计: {total_urls}" ) return { 'saved_urls': saved_count, 'total_urls': total_urls, 'skipped_urls': final_skipped } except Exception as e: logger.error(f"保存 URL 失败: {e}", exc_info=True) raise RuntimeError(f"保存 URL 失败: {e}") from e ================================================ FILE: backend/apps/scan/tasks/vuln_scan/__init__.py ================================================ """漏洞扫描任务模块 包含： - export_endpoints_task: 导出端点 URL 到文件 - run_vuln_tool_task: 执行漏洞扫描工具（非流式） - run_and_stream_save_dalfox_vulns_task: Dalfox 流式执行并保存漏洞结果 - run_and_stream_save_nuclei_vulns_task: Nuclei 流式执行并保存漏洞结果 """ from .export_endpoints_task import export_endpoints_task from .run_vuln_tool_task import run_vuln_tool_task from .run_and_stream_save_dalfox_vulns_task import run_and_stream_save_dalfox_vulns_task from .run_and_stream_save_nuclei_vulns_task import run_and_stream_save_nuclei_vulns_task __all__ = [ "export_endpoints_task", "run_vuln_tool_task", "run_and_stream_save_dalfox_vulns_task", "run_and_stream_save_nuclei_vulns_task", ] ================================================ FILE: backend/apps/scan/tasks/vuln_scan/export_endpoints_task.py ================================================ """导出 Endpoint URL 到文件的 Task 支持两种模式： 1. 传统模式（向后兼容）：使用 target_id 从数据库导出 2. Provider 模式：使用 TargetProvider 从任意数据源导出 数据源优先级（回退链，仅传统模式）： 1. Endpoint.url - 最精细的 URL（含路径、参数等） 2. WebSite.url - 站点级别 URL 3. 默认生成 - 根据 Target 类型生成 http(s)://target_name """ import logging from typing import Dict, Optional from pathlib import Path from prefect import task from apps.scan.services.target_export_service import ( export_urls_with_fallback, DataSource, ) from apps.scan.providers import TargetProvider, DatabaseTargetProvider logger = logging.getLogger(__name__) @task(name="export_endpoints") def export_endpoints_task( target_id: Optional[int] = None, output_file: str = "", provider: Optional[TargetProvider] = None, batch_size: int = 1000, ) -> Dict[str, object]: """导出目标下的所有 Endpoint URL 到文本文件。 支持两种模式： 1. 传统模式（向后兼容）：传入 target_id，从数据库导出 2. Provider 模式：传入 provider，从任意数据源导出 数据源优先级（回退链，仅传统模式）： 1. Endpoint 表 - 最精细的 URL（含路径、参数等） 2. WebSite 表 - 站点级别 URL 3. 默认生成 - 根据 Target 类型生成 http(s)://target_name Args: target_id: 目标 ID（传统模式，向后兼容） output_file: 输出文件路径（绝对路径） provider: TargetProvider 实例（新模式） batch_size: 每次从数据库迭代的批大小 Returns: dict: { "success": bool, "output_file": str, "total_count": int, "source": str, # 数据来源: "endpoint" | "website" | "default" | "none" | "provider" } """ # 参数验证：至少提供一个 if target_id is None and provider is None: raise ValueError("必须提供 target_id 或 provider 参数之一") # Provider 模式：使用 TargetProvider 导出 if provider is not None: logger.info("使用 Provider 模式 - Provider: %s", type(provider).__name__) return _export_with_provider(output_file, provider) # 传统模式：使用 export_urls_with_fallback logger.info("使用传统模式 - Target ID: %d", target_id) result = export_urls_with_fallback( target_id=target_id, output_file=output_file, sources=[DataSource.ENDPOINT, DataSource.WEBSITE, DataSource.DEFAULT], batch_size=batch_size, ) logger.info( "URL 导出完成 - source=%s, count=%d, tried=%s", result['source'], result['total_count'], result['tried_sources'] ) return { "success": result['success'], "output_file": result['output_file'], "total_count": result['total_count'], "source": result['source'], } def _export_with_provider(output_file: str, provider: TargetProvider) -> Dict[str, object]: """使用 Provider 导出 URL""" output_path = Path(output_file) output_path.parent.mkdir(parents=True, exist_ok=True) total_count = 0 blacklist_filter = provider.get_blacklist_filter() with open(output_path, 'w', encoding='utf-8', buffering=8192) as f: for url in provider.iter_urls(): # 应用黑名单过滤（如果有） if blacklist_filter and not blacklist_filter.is_allowed(url): continue f.write(f"{url}\n") total_count += 1 if total_count % 1000 == 0: logger.info("已导出 %d 个 URL...", total_count) logger.info("✓ URL 导出完成 - 总数: %d, 文件: %s", total_count, str(output_path)) return { "success": True, "output_file": str(output_path), "total_count": total_count, "source": "provider", } ================================================ FILE: backend/apps/scan/tasks/vuln_scan/run_and_stream_save_dalfox_vulns_task.py ================================================ """基于 execute_stream 的 Dalfox XSS 漏洞流式扫描任务 主要功能： 1. 实时执行 Dalfox 漏洞扫描命令 2. 流式处理命令输出，解析为统一的漏洞记录 3. 批量保存到 VulnerabilitySnapshot 表 4. 避免生成大量临时文件，提高效率 数据流向： 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库 注意： 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 ']' 本任务在解析阶段会： - 跳过 '['、']' 等控制行 - 去掉每条记录末尾的逗号，再做 json 解析 """ import logging import json import subprocess import time from asyncio import CancelledError from pathlib import Path from dataclasses import dataclass from typing import Generator, Optional, TYPE_CHECKING from prefect import task from django.db import IntegrityError, OperationalError, DatabaseError from psycopg2 import InterfaceError from apps.common.definitions import VulnSeverity, ScanStatus from apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO from apps.scan.utils import execute_stream from apps.scan.models import Scan if TYPE_CHECKING: from apps.asset.services.snapshot import VulnerabilitySnapshotsService logger = logging.getLogger(__name__) @dataclass class ServiceSet: """Service 集合，用于依赖注入 提供漏洞扫描所需的 Service 实例，便于测试时注入 Mock 对象。 """ snapshot: "VulnerabilitySnapshotsService" @classmethod def create_default(cls) -> "ServiceSet": """创建默认的 Service 集合""" from apps.asset.services.snapshot import VulnerabilitySnapshotsService return cls(snapshot=VulnerabilitySnapshotsService()) def _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None: """验证任务参数的有效性。""" if not cmd or not cmd.strip(): raise ValueError("扫描命令不能为空") if target_id is None: raise ValueError("target_id 不能为 None，必须指定目标ID") if scan_id is None: raise ValueError("scan_id 不能为 None，必须指定扫描ID") if cwd and not Path(cwd).exists(): raise ValueError(f"工作目录不存在: {cwd}") def _map_severity(raw: Optional[str]) -> str: """将 Dalfox 的严重性字符串映射为内部 VulnSeverity。""" value = (raw or "").strip().lower() mapping = { "info": VulnSeverity.INFO, "information": VulnSeverity.INFO, "low": VulnSeverity.LOW, "medium": VulnSeverity.MEDIUM, "med": VulnSeverity.MEDIUM, "high": VulnSeverity.HIGH, "critical": VulnSeverity.CRITICAL, } return mapping.get(value, VulnSeverity.UNKNOWN) def _parse_and_validate_line(line: str) -> Optional[dict]: """解析并验证单行 Dalfox JSON 输出。 处理步骤： 1. 去除首尾空白 2. 跳过 '['、']' 等数组控制行 3. 去掉行尾逗号 4. 解析 JSON 并验证必要字段 """ try: raw = line.strip() if not raw: return None # 跳过数组控制行 if raw in ("[", "]", "],"): return None # 去掉尾部逗号 if raw.endswith(","): raw = raw[:-1].rstrip() try: data = json.loads(raw, strict=False) except json.JSONDecodeError: # logger.info("跳过非 JSON 行: %s", raw) return None if not isinstance(data, dict): logger.info("跳过非字典数据") return None # Dalfox 输出中的 URL 字段为 data url = (data.get("data") or "").strip() if not url: logger.info("跳过缺少 URL 的记录") return None severity = _map_severity(data.get("severity")) # 漏洞类型：根据 type 字段区分 XSS 类型 # R=Reflected, S=Stored, V=Verified type_code = data.get("type", "") type_map = {"R": "xss-reflected", "S": "xss-stored", "V": "xss-verified"} vuln_type = type_map.get(type_code, "xss") # 简化描述：只用 message_str，完整信息在 raw_output description = data.get("message_str") or "" return { "url": url, "vuln_type": vuln_type, "severity": severity, "source": "dalfox", "cvss_score": None, "description": description, "raw_output": data, # 存储解析后的 dict，而不是原始字符串 } except Exception: logger.info("跳过无法解析的行: %s", line[:100]) return None def _parse_dalfox_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, timeout: Optional[int] = None, log_file: Optional[str] = None, ) -> Generator[dict, None, None]: """流式解析 Dalfox 漏洞扫描命令输出。""" logger.info("开始流式解析 Dalfox 漏洞扫描命令输出 - 命令: %s", cmd) total_lines = 0 error_lines = 0 valid_records = 0 try: for line in execute_stream( cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file, ): total_lines += 1 record = _parse_and_validate_line(line) if record is None: error_lines += 1 continue valid_records += 1 yield record if valid_records % 100 == 0: logger.info("已解析 %d 条有效漏洞记录...", valid_records) except subprocess.TimeoutExpired as e: error_msg = f"流式解析命令输出超时 - 命令执行超过 {timeout} 秒" logger.warning(error_msg) raise RuntimeError(error_msg) from e except Exception as e: logger.error("流式解析 Dalfox 命令输出失败: %s", e, exc_info=True) raise logger.info( "流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d", total_lines, valid_records, error_lines, ) def _save_batch( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, ) -> int: """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）。""" if not batch: logger.debug("批次 %d 为空，跳过处理", batch_num) return 0 snapshot_items = [] for record in batch: try: dto = VulnerabilitySnapshotDTO( scan_id=scan_id, target_id=target_id, url=record["url"], vuln_type=record["vuln_type"], severity=str(record["severity"]), source=record["source"], cvss_score=record.get("cvss_score"), description=record.get("description", ""), raw_output=record.get("raw_output", ""), ) snapshot_items.append(dto) except Exception as e: logger.error("构建漏洞快照 DTO 失败: %s，记录: %s", e, str(record)[:200]) continue if snapshot_items: services.snapshot.save_and_sync(snapshot_items) logger.info("批次 %d: 保存了 %d 条漏洞记录（共 %d 条）", batch_num, len(snapshot_items), len(batch)) return len(snapshot_items) def _save_batch_with_retry( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3, ) -> dict: """保存一个批次的漏洞记录（带重试机制）。""" for attempt in range(max_retries): try: created = _save_batch(batch, scan_id, target_id, batch_num, services) return {"success": True, "created_vulns": created} except IntegrityError as e: logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return {"success": False, "created_vulns": 0} except (OperationalError, DatabaseError, InterfaceError) as e: if attempt < max_retries - 1: wait_time = 2 ** attempt logger.warning( "批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100], ) time.sleep(wait_time) else: logger.error("批次 %d 保存失败（已重试 %d 次）: %s", batch_num, max_retries, e) return {"success": False, "created_vulns": 0} except Exception as e: logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) return {"success": False, "created_vulns": 0} return {"success": False, "created_vulns": 0} def _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None: """累加批次统计信息。""" total_stats["created_vulns"] += batch_result.get("created_vulns", 0) def _process_batch( batch: list, scan_id: int, target_id: int, batch_num: int, total_stats: dict, failed_batches: list, services: ServiceSet, ) -> None: """处理单个批次。""" result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services) _accumulate_batch_stats(total_stats, result) if not result["success"]: failed_batches.append(batch_num) logger.warning( "批次 %d 保存失败，但已累计统计信息：创建漏洞=%d", batch_num, result.get("created_vulns", 0), ) def _process_records_in_batches( data_generator, scan_id: int, target_id: int, batch_size: int, services: ServiceSet, ) -> dict: """流式处理记录并分批保存。""" total_records = 0 batch_num = 0 failed_batches = [] batch = [] cancel_check_interval = 50 # 每处理50条检查一次取消信号 total_stats = {"created_vulns": 0} for record in data_generator: if cancel_check_interval > 0 and (total_records % cancel_check_interval == 0): _raise_if_cancelled(scan_id) batch.append(record) total_records += 1 if len(batch) >= batch_size: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) batch = [] if batch_num % 20 == 0: logger.info("进度: 已处理 %d 批次，%d 条记录", batch_num, total_records) if batch: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) _raise_if_cancelled(scan_id) if failed_batches: error_msg = ( f"流式保存漏洞扫描结果时出现失败批次，处理记录: {total_records}，" f"失败批次: {failed_batches}" ) logger.warning(error_msg) raise RuntimeError(error_msg) return { "processed_records": total_records, "batch_count": batch_num, **total_stats, } def _build_final_result(stats: dict) -> dict: """构建最终结果并输出日志。""" logger.info( "✓ Dalfox 流式保存完成 - 处理记录: %d（%d 批次），创建漏洞: %d", stats["processed_records"], stats["batch_count"], stats["created_vulns"], ) if stats["created_vulns"] == 0: logger.warning( "⚠️ 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" ) return { "processed_records": stats["processed_records"], "created_vulns": stats["created_vulns"], } def _cleanup_resources(data_generator) -> None: """清理任务资源。""" if data_generator is None: return try: data_generator.close() logger.debug("已关闭数据生成器") except Exception as gen_close_error: logger.error("关闭生成器时出错: %s", gen_close_error) @task( name="run_and_stream_save_dalfox_vulns", retries=0, log_prints=True, ) def run_and_stream_save_dalfox_vulns_task( cmd: str, tool_name: str, scan_id: int, target_id: int, cwd: Optional[str] = None, shell: bool = False, 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 timeout: Optional[int] = None, log_file: Optional[str] = None, ) -> dict: """执行 Dalfox 漏洞扫描命令并流式保存结果到数据库。""" logger.info( "开始执行 Dalfox 流式漏洞扫描任务 - target_id=%s, 超时=%s秒, 命令: %s", target_id, timeout if timeout else "无限制", cmd, ) data_generator = None try: _validate_task_parameters(cmd, target_id, scan_id, cwd) data_generator = _parse_dalfox_stream_output( cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file, ) services = ServiceSet.create_default() stats = _process_records_in_batches( data_generator, scan_id, target_id, batch_size, services, ) return _build_final_result(stats) except CancelledError: logger.warning( "⚠️ Dalfox 漏洞扫描任务检测到取消信号，正在终止 - scan_id=%s, target_id=%s", scan_id, target_id, ) raise except subprocess.TimeoutExpired: logger.warning( "⚠️ 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。", target_id, timeout, ) raise except Exception as e: error_msg = f"流式执行 Dalfox 漏洞扫描任务失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: _cleanup_resources(data_generator) def _raise_if_cancelled(scan_id: int) -> None: """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。""" status = Scan.objects.filter(id=scan_id).values_list("status", flat=True).first() if status == ScanStatus.CANCELLED: logger.warning("检测到取消信号，终止 Dalfox 漏洞扫描 - scan_id=%s", scan_id) raise CancelledError() ================================================ FILE: backend/apps/scan/tasks/vuln_scan/run_and_stream_save_nuclei_vulns_task.py ================================================ """基于 execute_stream 的 Nuclei 漏洞流式扫描任务 主要功能： 1. 实时执行 Nuclei 漏洞扫描命令 2. 流式处理命令输出，解析为统一的漏洞记录 3. 批量保存到 VulnerabilitySnapshot 表 4. 避免生成大量临时文件，提高效率 数据流向： 命令执行 → 流式输出 → 实时解析 → 批量保存 → 数据库 注意： Nuclei 的 JSON 输出（-j 参数）为每行一条完整 JSON 对象。 """ import logging import json import subprocess import time from asyncio import CancelledError from pathlib import Path from dataclasses import dataclass from typing import Generator, Optional, TYPE_CHECKING from prefect import task from django.db import IntegrityError, OperationalError, DatabaseError from psycopg2 import InterfaceError from apps.common.definitions import VulnSeverity, ScanStatus from apps.asset.dtos.snapshot import VulnerabilitySnapshotDTO from apps.scan.utils import execute_stream from apps.scan.models import Scan if TYPE_CHECKING: from apps.asset.services.snapshot import VulnerabilitySnapshotsService logger = logging.getLogger(__name__) @dataclass class ServiceSet: """Service 集合，用于依赖注入""" snapshot: "VulnerabilitySnapshotsService" @classmethod def create_default(cls) -> "ServiceSet": """创建默认的 Service 集合""" from apps.asset.services.snapshot import VulnerabilitySnapshotsService return cls(snapshot=VulnerabilitySnapshotsService()) def _validate_task_parameters(cmd: str, target_id: int, scan_id: int, cwd: Optional[str]) -> None: """验证任务参数的有效性。""" if not cmd or not cmd.strip(): raise ValueError("扫描命令不能为空") if target_id is None: raise ValueError("target_id 不能为 None，必须指定目标ID") if scan_id is None: raise ValueError("scan_id 不能为 None，必须指定扫描ID") if cwd and not Path(cwd).exists(): raise ValueError(f"工作目录不存在: {cwd}") def _map_severity(raw: Optional[str]) -> str: """将 Nuclei 的严重性字符串映射为内部 VulnSeverity。""" value = (raw or "").strip().lower() mapping = { "info": VulnSeverity.INFO, "information": VulnSeverity.INFO, "low": VulnSeverity.LOW, "medium": VulnSeverity.MEDIUM, "high": VulnSeverity.HIGH, "critical": VulnSeverity.CRITICAL, } return mapping.get(value, VulnSeverity.UNKNOWN) def _parse_and_validate_line(line: str) -> Optional[dict]: """解析并验证单行 Nuclei JSON 输出。 Nuclei JSON 输出格式（每行一条完整 JSON）： { "template": "dns/caa-fingerprint.yaml", "template-id": "caa-fingerprint", "info": { "name": "CAA Record", "severity": "info", "description": "...", "tags": ["dns", "caa"], "classification": {"cve-id": null, "cwe-id": ["cwe-200"]} }, "host": "test.yyhuni.rest", "matched-at": "test.yyhuni.rest", "type": "dns", "timestamp": "2025-12-04T17:33:31.903288+08:00", "matcher-status": true } """ try: raw = line.strip() if not raw: return None try: # strict=False 允许 JSON 中包含控制字符（如换行符、制表符等） # Nuclei 输出的 response 字段可能包含原始 HTTP 响应，其中有控制字符 data = json.loads(raw, strict=False) except json.JSONDecodeError: # logger.info("跳过非 JSON 行: %s", raw) return None if not isinstance(data, dict): logger.info("跳过非字典数据") return None # 提取 info 字段 info = data.get("info", {}) if not isinstance(info, dict): info = {} # URL: 优先用 matched-at，其次用 host url = data.get("matched-at") or data.get("host") or "" if not url: logger.info("跳过缺少 URL 的记录: %s", data.get("template-id", "unknown")) return None # 严重性 severity = _map_severity(info.get("severity")) # 漏洞类型：使用 template-id 作为类型标识 vuln_type = data.get("template-id", "unknown") # 简化描述：只用 info.name，完整信息在 raw_output description = info.get("name", "") return { "url": url, "vuln_type": vuln_type, "severity": severity, "source": "nuclei", "cvss_score": None, "description": description, "raw_output": data, # 存储解析后的 dict，而不是原始字符串 } except Exception: logger.info("跳过无法解析的行: %s", line[:100]) return None def _parse_nuclei_stream_output( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, timeout: Optional[int] = None, log_file: Optional[str] = None, ) -> Generator[dict, None, None]: """流式解析 Nuclei 漏洞扫描命令输出。""" logger.info("开始流式解析 Nuclei 漏洞扫描命令输出 - 命令: %s", cmd) total_lines = 0 error_lines = 0 valid_records = 0 try: for line in execute_stream( cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file, ): total_lines += 1 record = _parse_and_validate_line(line) if record is None: error_lines += 1 continue valid_records += 1 yield record if valid_records % 100 == 0: logger.info("已解析 %d 条有效漏洞记录...", valid_records) except subprocess.TimeoutExpired as e: error_msg = f"流式解析命令输出超时 - 命令执行超过 {timeout} 秒" logger.warning(error_msg) raise RuntimeError(error_msg) from e except Exception as e: logger.error("流式解析 Nuclei 命令输出失败: %s", e, exc_info=True) raise logger.info( "流式解析完成 - 总行数: %d, 有效记录: %d, 错误行数: %d", total_lines, valid_records, error_lines, ) def _save_batch( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, ) -> int: """保存一个批次的漏洞记录到数据库。""" if not batch: logger.debug("批次 %d 为空，跳过处理", batch_num) return 0 snapshot_items = [] for record in batch: try: dto = VulnerabilitySnapshotDTO( scan_id=scan_id, target_id=target_id, url=record["url"], vuln_type=record["vuln_type"], severity=str(record["severity"]), source=record["source"], cvss_score=record.get("cvss_score"), description=record.get("description", ""), raw_output=record.get("raw_output", ""), ) snapshot_items.append(dto) except Exception as e: logger.error("构建漏洞快照 DTO 失败: %s，记录: %s", e, str(record)[:200]) continue if snapshot_items: services.snapshot.save_and_sync(snapshot_items) logger.info("批次 %d: 保存了 %d 条漏洞记录（共 %d 条）", batch_num, len(snapshot_items), len(batch)) return len(snapshot_items) def _save_batch_with_retry( batch: list, scan_id: int, target_id: int, batch_num: int, services: ServiceSet, max_retries: int = 3, ) -> dict: """保存一个批次的漏洞记录（带重试机制）。""" for attempt in range(max_retries): try: created = _save_batch(batch, scan_id, target_id, batch_num, services) return {"success": True, "created_vulns": created} except IntegrityError as e: logger.error("批次 %d 数据完整性错误，跳过: %s", batch_num, str(e)[:100]) return {"success": False, "created_vulns": 0} except (OperationalError, DatabaseError, InterfaceError) as e: if attempt < max_retries - 1: wait_time = 2 ** attempt logger.warning( "批次 %d 保存失败（第 %d 次尝试），%d秒后重试: %s", batch_num, attempt + 1, wait_time, str(e)[:100], ) time.sleep(wait_time) else: logger.error("批次 %d 保存失败（已重试 %d 次）: %s", batch_num, max_retries, e) return {"success": False, "created_vulns": 0} except Exception as e: logger.error("批次 %d 未知错误: %s", batch_num, e, exc_info=True) return {"success": False, "created_vulns": 0} return {"success": False, "created_vulns": 0} def _accumulate_batch_stats(total_stats: dict, batch_result: dict) -> None: """累加批次统计信息。""" total_stats["created_vulns"] += batch_result.get("created_vulns", 0) def _process_batch( batch: list, scan_id: int, target_id: int, batch_num: int, total_stats: dict, failed_batches: list, services: ServiceSet, ) -> None: """处理单个批次。""" result = _save_batch_with_retry(batch, scan_id, target_id, batch_num, services) _accumulate_batch_stats(total_stats, result) if not result["success"]: failed_batches.append(batch_num) logger.warning( "批次 %d 保存失败，但已累计统计信息：创建漏洞=%d", batch_num, result.get("created_vulns", 0), ) def _process_records_in_batches( data_generator, scan_id: int, target_id: int, batch_size: int, services: ServiceSet, ) -> dict: """流式处理记录并分批保存。""" total_records = 0 batch_num = 0 failed_batches = [] batch = [] cancel_check_interval = 50 # 每处理50条检查一次取消信号 total_stats = {"created_vulns": 0} for record in data_generator: if cancel_check_interval > 0 and (total_records % cancel_check_interval == 0): _raise_if_cancelled(scan_id) batch.append(record) total_records += 1 if len(batch) >= batch_size: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) batch = [] if batch_num % 20 == 0: logger.info("进度: 已处理 %d 批次，%d 条记录", batch_num, total_records) if batch: batch_num += 1 _process_batch(batch, scan_id, target_id, batch_num, total_stats, failed_batches, services) _raise_if_cancelled(scan_id) if failed_batches: error_msg = ( f"流式保存漏洞扫描结果时出现失败批次，处理记录: {total_records}，" f"失败批次: {failed_batches}" ) logger.warning(error_msg) raise RuntimeError(error_msg) return { "processed_records": total_records, "batch_count": batch_num, **total_stats, } def _build_final_result(stats: dict) -> dict: """构建最终结果并输出日志。""" logger.info( "✓ Nuclei 流式保存完成 - 处理记录: %d（%d 批次），创建漏洞: %d", stats["processed_records"], stats["batch_count"], stats["created_vulns"], ) if stats["created_vulns"] == 0: logger.warning( "⚠️ 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" ) return { "processed_records": stats["processed_records"], "created_vulns": stats["created_vulns"], } def _cleanup_resources(data_generator) -> None: """清理任务资源。""" if data_generator is None: return try: data_generator.close() logger.debug("已关闭数据生成器") except Exception as gen_close_error: logger.error("关闭生成器时出错: %s", gen_close_error) @task( name="run_and_stream_save_nuclei_vulns", retries=0, log_prints=True, ) def run_and_stream_save_nuclei_vulns_task( cmd: str, tool_name: str, scan_id: int, target_id: int, cwd: Optional[str] = None, shell: bool = False, batch_size: int = 10, # Nuclei 结果可能较多，适当增大批次 timeout: Optional[int] = None, log_file: Optional[str] = None, ) -> dict: """执行 Nuclei 漏洞扫描命令并流式保存结果到数据库。""" logger.info( "开始执行 Nuclei 流式漏洞扫描任务 - target_id=%s, 超时=%s秒, 命令: %s", target_id, timeout if timeout else "无限制", cmd, ) data_generator = None try: _validate_task_parameters(cmd, target_id, scan_id, cwd) data_generator = _parse_nuclei_stream_output( cmd=cmd, tool_name=tool_name, cwd=cwd, shell=shell, timeout=timeout, log_file=log_file, ) services = ServiceSet.create_default() stats = _process_records_in_batches( data_generator, scan_id, target_id, batch_size, services, ) return _build_final_result(stats) except CancelledError: logger.warning( "⚠️ Nuclei 漏洞扫描任务检测到取消信号，正在终止 - scan_id=%s, target_id=%s", scan_id, target_id, ) raise except subprocess.TimeoutExpired: logger.warning( "⚠️ 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。", target_id, timeout, ) raise except Exception as e: error_msg = f"流式执行 Nuclei 漏洞扫描任务失败: {e}" logger.error(error_msg, exc_info=True) raise RuntimeError(error_msg) from e finally: _cleanup_resources(data_generator) def _raise_if_cancelled(scan_id: int) -> None: """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。""" status = Scan.objects.filter(id=scan_id).values_list("status", flat=True).first() if status == ScanStatus.CANCELLED: logger.warning("检测到取消信号，终止 Nuclei 漏洞扫描 - scan_id=%s", scan_id) raise CancelledError() ================================================ FILE: backend/apps/scan/tasks/vuln_scan/run_vuln_tool_task.py ================================================ """执行漏洞扫描工具任务 负责运行单个漏洞扫描工具（目前主要是 Dalfox XSS）。 注意： - 命令构建在 Flow 层完成，这里只负责执行已经构建好的命令 - 使用通用 execute_and_wait 统一管理超时和日志 """ import logging from typing import Dict from prefect import task from apps.scan.utils import execute_and_wait logger = logging.getLogger(__name__) @task( name="run_vuln_tool", retries=0, log_prints=True, ) def run_vuln_tool_task( tool_name: str, command: str, timeout: int, log_file: str | None = None, ) -> Dict[str, object]: """执行单个漏洞扫描工具。 Args: tool_name: 工具名称（如 "dalfox_xss"） command: 完整命令字符串（由 Flow 层构建） timeout: 命令执行超时时间（秒） log_file: 日志文件路径 Returns: dict: execute_and_wait 的返回结果字典，并附加 tool 字段。 """ try: logger.info("开始执行漏洞扫描工具 %s", tool_name) result = execute_and_wait( tool_name=tool_name, command=command, timeout=timeout, log_file=log_file, ) # 保持与 execute_and_wait 一致的字段，并额外附加工具名 return { "tool": tool_name, **result, } except RuntimeError: # execute_and_wait 已经记录详细日志，这里直接向上抛出 raise except Exception as e: error_msg = f"漏洞扫描工具 {tool_name} 执行异常: {e}" logger.error(error_msg, exc_info=True) raise ================================================ FILE: backend/apps/scan/urls.py ================================================ from django.urls import path, include from rest_framework.routers import DefaultRouter from .views import ScanViewSet, ScheduledScanViewSet, ScanLogListView, SubfinderProviderSettingsView from .notifications.views import notification_callback from apps.asset.views import ( SubdomainSnapshotViewSet, WebsiteSnapshotViewSet, DirectorySnapshotViewSet, EndpointSnapshotViewSet, HostPortMappingSnapshotViewSet, VulnerabilitySnapshotViewSet, ScreenshotSnapshotViewSet ) # 创建路由器 router = DefaultRouter() # 注册 ViewSet router.register(r'scans', ScanViewSet, basename='scan') router.register(r'scheduled-scans', ScheduledScanViewSet, basename='scheduled-scan') # Scan 下的嵌套快照路由 scan_subdomains_list = SubdomainSnapshotViewSet.as_view({'get': 'list'}) scan_subdomains_export = SubdomainSnapshotViewSet.as_view({'get': 'export'}) scan_websites_list = WebsiteSnapshotViewSet.as_view({'get': 'list'}) scan_websites_export = WebsiteSnapshotViewSet.as_view({'get': 'export'}) scan_directories_list = DirectorySnapshotViewSet.as_view({'get': 'list'}) scan_directories_export = DirectorySnapshotViewSet.as_view({'get': 'export'}) scan_endpoints_list = EndpointSnapshotViewSet.as_view({'get': 'list'}) scan_endpoints_export = EndpointSnapshotViewSet.as_view({'get': 'export'}) scan_ip_addresses_list = HostPortMappingSnapshotViewSet.as_view({'get': 'list'}) scan_ip_addresses_export = HostPortMappingSnapshotViewSet.as_view({'get': 'export'}) scan_vulnerabilities_list = VulnerabilitySnapshotViewSet.as_view({'get': 'list'}) scan_screenshots_list = ScreenshotSnapshotViewSet.as_view({'get': 'list'}) scan_screenshots_image = ScreenshotSnapshotViewSet.as_view({'get': 'image'}) urlpatterns = [ path('', include(router.urls)), # Worker 回调 API path('callbacks/notification/', notification_callback, name='notification-callback'), # API Key 配置 path('settings/api-keys/', SubfinderProviderSettingsView.as_view(), name='subfinder-provider-settings'), # 扫描日志 API path('scans/<int:scan_id>/logs/', ScanLogListView.as_view(), name='scan-logs-list'), # 嵌套路由：/api/scans/{scan_pk}/xxx/ path('scans/<int:scan_pk>/subdomains/', scan_subdomains_list, name='scan-subdomains-list'), path('scans/<int:scan_pk>/subdomains/export/', scan_subdomains_export, name='scan-subdomains-export'), path('scans/<int:scan_pk>/websites/', scan_websites_list, name='scan-websites-list'), path('scans/<int:scan_pk>/websites/export/', scan_websites_export, name='scan-websites-export'), path('scans/<int:scan_pk>/directories/', scan_directories_list, name='scan-directories-list'), path('scans/<int:scan_pk>/directories/export/', scan_directories_export, name='scan-directories-export'), path('scans/<int:scan_pk>/endpoints/', scan_endpoints_list, name='scan-endpoints-list'), path('scans/<int:scan_pk>/endpoints/export/', scan_endpoints_export, name='scan-endpoints-export'), path('scans/<int:scan_pk>/ip-addresses/', scan_ip_addresses_list, name='scan-ip-addresses-list'), path('scans/<int:scan_pk>/ip-addresses/export/', scan_ip_addresses_export, name='scan-ip-addresses-export'), path('scans/<int:scan_pk>/vulnerabilities/', scan_vulnerabilities_list, name='scan-vulnerabilities-list'), path('scans/<int:scan_pk>/screenshots/', scan_screenshots_list, name='scan-screenshots-list'), path('scans/<int:scan_pk>/screenshots/<int:pk>/image/', scan_screenshots_image, name='scan-screenshots-image'), ] ================================================ FILE: backend/apps/scan/utils/__init__.py ================================================ """ 扫描模块工具包 提供扫描相关的工具函数。 """ from . import config_parser from .command_builder import build_scan_command from .command_executor import execute_and_wait, execute_stream from .directory_cleanup import remove_directory from .nuclei_helpers import ensure_nuclei_templates_local from .performance import CommandPerformanceTracker, FlowPerformanceTracker from .system_load import check_system_load, wait_for_system_load from .user_logger import user_log from .wordlist_helpers import ensure_wordlist_local from .workspace_utils import setup_scan_directory, setup_scan_workspace __all__ = [ # 目录清理 'remove_directory', # 工作空间 'setup_scan_workspace', 'setup_scan_directory', # 命令构建 'build_scan_command', # 命令执行 'execute_and_wait', 'execute_stream', # 系统负载 'wait_for_system_load', 'check_system_load', # 字典文件 'ensure_wordlist_local', # Nuclei 模板 'ensure_nuclei_templates_local', # 性能监控 'FlowPerformanceTracker', 'CommandPerformanceTracker', # 扫描日志 'user_log', # 配置解析 'config_parser', ] ================================================ FILE: backend/apps/scan/utils/command_builder.py ================================================ """ 简化的命令构建工具 使用 Python 原生 f-string 和条件拼接，零依赖，性能更好。 """ import logging from typing import Dict, Any logger = logging.getLogger(__name__) def build_scan_command( tool_name: str, scan_type: str, command_params: Dict[str, Any], tool_config: Dict[str, Any] ) -> str: """ 构建扫描工具命令（使用 f-string） Args: tool_name: 工具名称（如 'subfinder'） scan_type: 扫描类型（如 'subdomain_discovery'） command_params: 命令占位符参数 - domain: 目标域名 - domains_file: 域名列表文件（用于端口扫描） - url_file: URL列表文件（用于站点扫描） - target_file: 目标文件路径（通用） - output_file: 输出文件路径 tool_config: 工具配置参数（包含可选参数） - threads: 线程数 - timeout: 超时时间（秒） - 其他可选参数... Returns: 完整的命令字符串 Example: >>> build_scan_command( ... tool_name='subfinder', ... scan_type='subdomain_discovery', ... command_params={'domain': 'example.com', 'output_file': '/tmp/out.txt'}, ... tool_config={'threads': 10} ... ) 'subfinder -d example.com -o /tmp/out.txt -silent -t 10' """ from apps.scan.configs.command_templates import get_command_template, SCAN_TOOLS_BASE_PATH # 获取命令模板 template = get_command_template(scan_type, tool_name) if not template: raise ValueError(f"未找到工具 {tool_name} 的命令模板（扫描类型: {scan_type}）") # 合并所有参数，并将中划线统一转成下划线 # 规范约定： # - 配置文件（YAML）：参数名用中划线，贴近 CLI 原生参数（如 rate-limit, request-timeout） # - 模板文件（Python）：参数名用下划线，符合 str.format() 占位符语法要求 # - 此处自动转换：rate-limit → rate_limit def normalize_key(k): return k.replace('-', '_') if isinstance(k, str) else k all_params = { 'scan_tools_base': SCAN_TOOLS_BASE_PATH, **{normalize_key(k): v for k, v in command_params.items()}, **{normalize_key(k): v for k, v in tool_config.items()} } # nuclei 特殊处理：要求 template_args 必填（支持多 -t），避免格式化缺失 if tool_name == "nuclei": if not all_params.get("template_args"): raise ValueError("nuclei 命令构建缺少 template_args（请检查模板仓库列表配置）") try: # 1. 构建基础命令 base_command = template['base'].format(**all_params) # 2. 拼接可选参数 optional_parts = [] for param_name, flag_template in template.get('optional', {}).items(): # 检查参数是否存在且有值 if param_name in all_params and all_params[param_name]: optional_parts.append(flag_template.format(**all_params)) # 3. 组合完整命令 full_command = base_command if optional_parts: full_command += ' ' + ' '.join(optional_parts) # 4. 清理多余空白 import re cleaned_command = re.sub(r'\s+', ' ', full_command).strip() return cleaned_command except KeyError as e: raise ValueError( f"命令构建失败：缺少必需参数 {e}\n" f"模板: {template}\n" f"提供的参数: {list(all_params.keys())}" ) except Exception as e: raise ValueError( f"命令构建失败: {e}\n" f"模板: {template}\n" f"提供的参数: {list(all_params.keys())}" ) ================================================ FILE: backend/apps/scan/utils/command_executor.py ================================================ """ 命令执行器 统一管理所有命令执行方式： - execute_and_wait(): 等待式执行，适合输出到文件的工具 - execute_stream(): 流式执行，适合实时处理输出的工具 性能监控： - 自动记录命令执行耗时、内存使用 - 输出到 performance logger """ import logging import os import re import signal import subprocess import threading import time from collections import deque from datetime import datetime from pathlib import Path from typing import Dict, Any, Optional, Generator from django.conf import settings try: # 可选依赖：用于根据 CPU / 内存负载做动态并发控制 import psutil except ImportError: # 运行环境缺少 psutil 时降级为无动态负载控制 psutil = None logger = logging.getLogger(__name__) # 延迟导入，避免循环依赖 def _get_command_tracker(tool_name: str, command: str): """获取命令性能追踪器（延迟导入）""" from apps.scan.utils.performance import CommandPerformanceTracker return CommandPerformanceTracker(tool_name, command) # 常量定义 GRACEFUL_SHUTDOWN_TIMEOUT = 5 # 进程优雅退出的超时时间（秒） MAX_LOG_TAIL_LINES = 1000 # 日志文件读取的最大行数 # 命令日志配置（从环境变量读取） # ENABLE_COMMAND_LOGGING=true: 输出所有内容（命令输出+错误）到log_file_path # ENABLE_COMMAND_LOGGING=false: 只输出错误到log_file_path ENABLE_COMMAND_LOGGING = getattr(settings, 'ENABLE_COMMAND_LOGGING', True) # 动态并发控制阈值（可在 Django settings 中覆盖） SCAN_CPU_HIGH = getattr(settings, 'SCAN_CPU_HIGH', 90.0) # CPU 高水位（百分比） SCAN_MEM_HIGH = getattr(settings, 'SCAN_MEM_HIGH', 80.0) # 内存高水位（百分比） SCAN_LOAD_CHECK_INTERVAL = getattr(settings, 'SCAN_LOAD_CHECK_INTERVAL', 180) # 负载检查间隔（秒） SCAN_COMMAND_STARTUP_DELAY = getattr(settings, 'SCAN_COMMAND_STARTUP_DELAY', 5) # 命令启动前等待（秒） _ACTIVE_COMMANDS = 0 _ACTIVE_COMMANDS_LOCK = threading.Lock() def _wait_for_system_load() -> None: """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。""" # 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 if SCAN_COMMAND_STARTUP_DELAY > 0: time.sleep(SCAN_COMMAND_STARTUP_DELAY) # 2. 再检查系统负载 if psutil is None: raise ImportError("psutil 未安装，无法进行负载感知控制") while True: cpu = psutil.cpu_percent(interval=0.5) mem = psutil.virtual_memory().percent if cpu < SCAN_CPU_HIGH and mem < SCAN_MEM_HIGH: return logger.info( "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%%)", cpu, SCAN_CPU_HIGH, mem, SCAN_MEM_HIGH, ) time.sleep(SCAN_LOAD_CHECK_INTERVAL) class CommandExecutor: """ 统一的命令执行器 提供两种执行模式： 1. execute_and_wait() - 等待式执行（适合文件输出） 2. execute_stream() - 流式执行（适合实时处理） """ def _write_command_start_header(self, log_file: Path, tool_name: str, command: str, timeout: Optional[int] = None): """ 在命令开始时写入头部信息 """ if not ENABLE_COMMAND_LOGGING: return try: with open(log_file, 'w', encoding='utf-8') as f: f.write(f"$ {command}\n") f.write(f"{'='*60}\n") f.write(f"# 工具: {tool_name}\n") f.write(f"# 开始时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n") if timeout is not None: f.write(f"# 超时限制: {timeout}秒\n") f.write(f"# 状态: 执行中...\n") f.write(f"{'='*60}\n\n") except Exception as e: logger.error(f"写入命令开始信息失败: {e}") def _write_command_end_footer(self, log_file: Path, tool_name: str, duration: float, returncode: int, success: bool): """ 在命令结束时追加尾部信息 """ if not ENABLE_COMMAND_LOGGING: return try: with open(log_file, 'a', encoding='utf-8') as f: f.write(f"\n{'='*60}\n") f.write(f"# 结束时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n") f.write(f"# 执行耗时: {duration:.2f}秒\n") f.write(f"# 退出码: {returncode}\n") f.write(f"# 状态: {'✓ 成功' if success else '✗ 失败'}\n") f.write(f"{'='*60}\n") logger.info(f"📝 {tool_name} 日志: {log_file} (耗时: {duration:.2f}秒)") except Exception as e: logger.error(f"写入命令结束信息失败: {e}") def _clean_output_line(self, line: str, suffix_char: Optional[str] = None) -> Optional[str]: """ 统一的输出行清理处理 处理顺序： 1. 去除首尾空白 2. 跳过空行 3. 处理字面转义字符串（如 \\x0d\\x0a） 4. 移除 ANSI 转义序列 5. 清理控制字符 6. 移除指定后缀字符 Args: line: 原始输出行 suffix_char: 要移除的末尾字符 Returns: 清理后的行内容，如果是空行则返回 None """ # 1. 去除行首尾的空白字符 line = line.strip() # 2. 跳过空行 if not line: return None # 3. 处理字面转义字符串（罕见但可能存在） # 处理常见的字面转义序列 escape_mappings = { '\\x0d\\x0a': '\n', # Windows 换行符字面量 '\\x0a': '\n', # Unix 换行符字面量 '\\x0d': '\r', # 回车符字面量 '\\r\\n': '\n', # 常见的转义表示 '\\n': '\n', # 换行符转义 '\\r': '\r', # 回车符转义 '\\t': '\t', # 制表符转义 } for literal, actual in escape_mappings.items(): if literal in line: line = line.replace(literal, actual) # 4. 移除 ANSI 转义序列（颜色、格式等控制字符） ansi_escape = re.compile(r'\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])') line = ansi_escape.sub('', line) # 5. 清理控制字符 line = line.replace('\x00', '') # 移除 NUL 字符 line = line.replace('\r', '') # 移除回车符 line = line.replace('\b', '') # 移除退格符 line = line.replace('\f', '') # 移除换页符 line = line.replace('\v', '') # 移除垂直制表符 # 6. 再次去除空白（清理后可能产生新的空白） line = line.strip() if not line: return None # 7. 如果指定了后缀字符，移除末尾的后缀字符 if suffix_char and line.endswith(suffix_char): line = line[:-1].strip() if not line: return None return line def _kill_process_tree(self, process: subprocess.Popen) -> None: """ 强制终止进程树 当使用 shell=True 时，process.pid 是 shell 的 PID。 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。 """ if process.poll() is not None: return try: # 尝试杀掉进程组（需要进程启动时设置 start_new_session=True） os.killpg(os.getpgid(process.pid), signal.SIGKILL) logger.debug(f"已终止进程组: PGID={process.pid}") except ProcessLookupError: pass # 进程已不存在 except Exception as e: logger.warning(f"终止进程组失败 ({e})，尝试普通 kill") try: process.kill() except Exception: pass def execute_and_wait( self, tool_name: str, command: str, timeout: int, log_file: Optional[str] = None ) -> Dict[str, Any]: """ 等待式执行：启动命令并等待完成 适用场景：工具输出到文件（如 subfinder -o output.txt） Args: tool_name: 工具名称（用于日志） command: 完整的扫描命令（包含输出文件参数） timeout: 超时时间（秒） log_file: 日志文件路径（可选，None 表示丢弃 stderr） Returns: dict: { 'success': bool, # 命令是否成功执行（returncode == 0） 'returncode': int, # 命令退出码 'log_file': str | None # 日志文件路径 } Raises: ValueError: 参数验证失败 RuntimeError: 执行失败或超时 """ global _ACTIVE_COMMANDS # 验证参数 if not tool_name: raise ValueError("工具名称不能为空") if not command: raise ValueError("扫描命令不能为空") if timeout <= 0: raise ValueError(f"超时时间必须大于0: {timeout}") logger.info("开始运行扫描工具: %s", tool_name) # 准备日志文件 log_file_path = Path(log_file) if log_file else None # 记录开始时间（用于计算执行时间） start_time = datetime.now() # 初始化性能追踪器 perf_tracker = _get_command_tracker(tool_name, command) perf_tracker.start() process = None log_file_handle = None acquired_slot = False # 标记是否已增加全局活动命令计数 try: # 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 _wait_for_system_load() acquired_slot = True if _ACTIVE_COMMANDS_LOCK: with _ACTIVE_COMMANDS_LOCK: _ACTIVE_COMMANDS += 1 current_active = _ACTIVE_COMMANDS else: current_active = 0 logger.info( "登记活动命令计数: tool=%s, active=%d", tool_name, current_active, ) logger.debug("执行命令: %s", command) if log_file_path: logger.debug("日志文件: %s", log_file_path) else: logger.debug("日志输出: 丢弃") # 准备输出流 stdout_target = subprocess.DEVNULL stderr_target = subprocess.DEVNULL if log_file_path: # 先写入命令开始信息 if ENABLE_COMMAND_LOGGING: self._write_command_start_header(log_file_path, tool_name, command, timeout) # 以追加模式打开日志文件 log_file_handle = open(log_file_path, 'a', encoding='utf-8', buffering=1) if ENABLE_COMMAND_LOGGING: stdout_target = log_file_handle stderr_target = subprocess.STDOUT else: stderr_target = log_file_handle # 启动进程 # 使用 start_new_session=True 创建新会话，使子进程成为新进程组的首领 # 这样我们可以通过 killpg 杀掉整个进程树 process = subprocess.Popen( command, stdin=subprocess.DEVNULL, shell=True, stdout=stdout_target, stderr=stderr_target, text=True, start_new_session=True ) # 设置进程 PID 用于性能追踪 perf_tracker.set_pid(process.pid) # 等待完成 process.communicate(timeout=timeout) # 检查执行结果 returncode = process.returncode success = (returncode == 0) # 计算执行时间 duration = (datetime.now() - start_time).total_seconds() # 追加命令结束信息（如果开启且有日志文件） if log_file_path and ENABLE_COMMAND_LOGGING: self._write_command_end_footer(log_file_path, tool_name, duration, returncode, success) command_log_file = str(log_file_path) if log_file_path else None if not success: # 命令执行失败，尝试读取错误日志 error_output = "" if log_file_path: error_output = self._read_log_tail(log_file_path, max_lines=MAX_LOG_TAIL_LINES) logger.warning( "扫描工具 %s 返回非零状态码: %d (执行时间: %.2f秒)", tool_name, returncode, duration ) if error_output: for line in error_output.strip().split('\n'): if line.strip(): logger.warning("%s", line) else: logger.info("✓ 扫描工具 %s 执行完成 (执行时间: %.2f秒)", tool_name, duration) # 记录性能日志 perf_tracker.finish(success=success, duration=duration, timeout=timeout) return { 'success': success, 'returncode': returncode, 'log_file': str(log_file_path) if log_file_path else None, 'command_log_file': command_log_file, 'duration': duration } except subprocess.TimeoutExpired as e: # 计算超时时的执行时间 duration = (datetime.now() - start_time).total_seconds() # 追加超时结束信息 if log_file_path and ENABLE_COMMAND_LOGGING: self._write_command_end_footer(log_file_path, tool_name, duration, -1, False) # 记录性能日志（超时） perf_tracker.finish(success=False, duration=duration, timeout=timeout, is_timeout=True) error_msg = f"扫描工具 {tool_name} 执行超时（{timeout}秒，实际执行: {duration:.2f}秒）" logger.error(error_msg) if log_file_path and log_file_path.exists(): logger.debug("超时日志已保存: %s", log_file_path) raise RuntimeError(error_msg) from e except subprocess.SubprocessError as e: error_msg = f"扫描工具 {tool_name} 执行失败: {e}" logger.error(error_msg) raise RuntimeError(error_msg) from e except Exception as e: # 捕获所有异常（包括 Prefect 取消引发的 CancelledError 等） # 确保在 finally 块中清理进程 error_msg = f"扫描工具 {tool_name} 执行异常（可能是被中断）: {e}" logger.error(error_msg, exc_info=True) raise finally: # 关键修复：确保进程树被清理 if process: self._kill_process_tree(process) # 关闭文件句柄 if log_file_handle: try: log_file_handle.close() except Exception: pass if acquired_slot: if _ACTIVE_COMMANDS_LOCK: with _ACTIVE_COMMANDS_LOCK: if _ACTIVE_COMMANDS > 0: _ACTIVE_COMMANDS -= 1 current_active = _ACTIVE_COMMANDS else: current_active = 0 logger.info( "释放活动命令计数: tool=%s, active=%d", tool_name, current_active, ) def execute_stream( self, cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, encoding: str = 'utf-8', suffix_char: Optional[str] = None, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[str, None, None]: """ 流式执行：逐行返回输出 适用场景：工具流式输出 JSON（如 naabu -json） Args: cmd: 要执行的命令 tool_name: 工具名称（用于日志记录） cwd: 工作目录 shell: 是否使用 shell 执行 encoding: 编码格式 suffix_char: 末尾后缀字符（用于移除） timeout: 命令执行超时时间（秒），None 表示不设置超时 log_file: 日志文件路径（可选） Yields: str: 每行输出的内容（已处理：去空白、去ANSI、去后缀） Raises: subprocess.TimeoutExpired: 命令执行超时 """ global _ACTIVE_COMMANDS # 记录开始时间（用于命令日志） start_time = datetime.now() acquired_slot = False # 初始化性能追踪器 perf_tracker = _get_command_tracker(tool_name, cmd) perf_tracker.start() # 准备日志文件路径 log_file_path = Path(log_file) if log_file else None if log_file_path: logger.debug(f"日志文件: {log_file_path}") else: logger.debug("日志输出: 丢弃") # 根据是否使用shell来格式化命令 command = cmd if shell else cmd.split() # 日志文件句柄 log_file_handle = None # 启动子进程，根据日志策略决定输出方向 if log_file_path: # 先写入命令开始信息 if ENABLE_COMMAND_LOGGING: self._write_command_start_header(log_file_path, tool_name, cmd, timeout) # 以追加模式打开日志文件（开始信息已写入） log_file_handle = open(log_file_path, 'a', encoding='utf-8', buffering=1) stdout_target = subprocess.PIPE stderr_target = log_file_handle if ENABLE_COMMAND_LOGGING: stderr_target = subprocess.STDOUT if not acquired_slot: # 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 _wait_for_system_load() acquired_slot = True if _ACTIVE_COMMANDS_LOCK: with _ACTIVE_COMMANDS_LOCK: _ACTIVE_COMMANDS += 1 current_active = _ACTIVE_COMMANDS else: current_active = 0 logger.info( "登记活动命令计数: tool=%s, active=%d", tool_name, current_active, ) process = subprocess.Popen( command, stdin=subprocess.DEVNULL, stdout=stdout_target, stderr=stderr_target, cwd=cwd, universal_newlines=True, encoding=encoding, shell=shell, start_new_session=True # 关键：创建新进程组 ) else: # 无日志文件：正常流式输出 if not acquired_slot: # 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 _wait_for_system_load() acquired_slot = True if _ACTIVE_COMMANDS_LOCK: with _ACTIVE_COMMANDS_LOCK: _ACTIVE_COMMANDS += 1 current_active = _ACTIVE_COMMANDS else: current_active = 0 logger.info( "登记活动命令计数: tool=%s, active=%d", tool_name, current_active, ) process = subprocess.Popen( command, stdin=subprocess.DEVNULL, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd=cwd, universal_newlines=True, encoding=encoding, shell=shell, start_new_session=True # 关键：创建新进程组 ) # 设置进程 PID 用于性能追踪 perf_tracker.set_pid(process.pid) # 超时控制：使用 Timer 在指定时间后终止进程 timed_out_event = threading.Event() def _kill_when_timeout(): timed_out_event.set() if process.poll() is None: # 进程还在运行 logger.warning(f"命令执行超时（{timeout}秒），正在终止进程: {cmd}") self._kill_process_tree(process) # 使用新的终止方法 timer = None if timeout is not None: timer = threading.Timer(timeout, _kill_when_timeout) timer.start() try: # 逐行读取进程输出 stdout = process.stdout assert stdout is not None, "stdout should not be None when stdout=PIPE" for line in iter(lambda: stdout.readline(), ''): if not line: break # 统一字符处理 cleaned_line = self._clean_output_line(line, suffix_char) if cleaned_line is None: continue # 跳过空行 line = cleaned_line # 如果开启命令日志且有日志文件，同时写入日志文件 if log_file_handle and ENABLE_COMMAND_LOGGING: log_file_handle.write(line + '\n') log_file_handle.flush() # 直接返回行内容，由调用者负责解析 yield line finally: # 1. 停止定时器（如果还没触发） if timer: timer.cancel() timer.join(timeout=0.1) # 等待 timer 线程完全结束，避免悬挂 # 2. 清理进程资源 exit_code = None if timed_out_event.is_set(): # 超时情况：定时器已经处理了进程终止，只需获取退出码 logger.debug("进程已被超时定时器终止，等待进程结束") try: exit_code = process.wait(timeout=1.0) # 等待进程完全退出 except subprocess.TimeoutExpired: logger.warning("进程在超时后仍未退出，强制终止") self._kill_process_tree(process) exit_code = -1 else: # 正常结束：等待进程自然结束 # 如果是被外部中断（如 CancelledError），poll() 应为 None，需要 kill if process.poll() is None: logger.info(f"流式执行被中断，清理进程: {tool_name}") self._kill_process_tree(process) try: exit_code = process.wait(timeout=GRACEFUL_SHUTDOWN_TIMEOUT) except subprocess.TimeoutExpired: logger.warning( "程序未能在%d秒内自然结束，强制终止: %s", GRACEFUL_SHUTDOWN_TIMEOUT, cmd ) self._kill_process_tree(process) exit_code = -2 # 3. 关闭进程流 if process.stdout: process.stdout.close() if process.stderr: process.stderr.close() # 4. 关闭日志文件句柄 if log_file_handle: log_file_handle.close() # 5. 追加命令结束信息（如果开启且有日志文件） duration = (datetime.now() - start_time).total_seconds() success = not timed_out_event.is_set() and (exit_code == 0 if exit_code is not None else True) if log_file_path and ENABLE_COMMAND_LOGGING: # 追加结束信息到日志文件末尾 self._write_command_end_footer(log_file_path, tool_name, duration, exit_code or 0, success) # 6. 记录性能日志 perf_tracker.finish(success=success, duration=duration, timeout=timeout, is_timeout=timed_out_event.is_set()) if acquired_slot: if _ACTIVE_COMMANDS_LOCK: with _ACTIVE_COMMANDS_LOCK: if _ACTIVE_COMMANDS > 0: _ACTIVE_COMMANDS -= 1 current_active = _ACTIVE_COMMANDS else: current_active = 0 logger.info( "释放活动命令计数: tool=%s, active=%d", tool_name, current_active, ) def _read_log_tail(self, log_file: Path, max_lines: int = MAX_LOG_TAIL_LINES) -> str: """ 读取日志文件的末尾部分（常量内存实现） 使用 seek 从文件末尾往前读取，避免将整个文件加载到内存。 Args: log_file: 日志文件路径 max_lines: 最大读取行数 Returns: 日志内容（字符串），读取失败返回错误提示 """ if not log_file.exists(): logger.debug("日志文件不存在: %s", log_file) return "" file_size = log_file.stat().st_size if file_size == 0: logger.debug("日志文件为空: %s", log_file) return "" # 每次读取的块大小（8KB，足够容纳大多数日志行） chunk_size = 8192 def decode_line(line_bytes: bytes) -> str: """解码单行：优先 UTF-8，失败则降级 latin-1""" try: return line_bytes.decode('utf-8') except UnicodeDecodeError: return line_bytes.decode('latin-1', errors='replace') try: with open(log_file, 'rb') as f: lines_found: deque[bytes] = deque() remaining = b'' position = file_size while position > 0 and len(lines_found) < max_lines: read_size = min(chunk_size, position) position -= read_size f.seek(position) chunk = f.read(read_size) + remaining parts = chunk.split(b'\n') # 最前面的部分可能不完整，留到下次处理 remaining = parts[0] # 其余部分是完整的行（从后往前收集，用 appendleft 保持顺序） for part in reversed(parts[1:]): if len(lines_found) >= max_lines: break lines_found.appendleft(part) # 处理文件开头的行 if remaining and len(lines_found) < max_lines: lines_found.appendleft(remaining) return '\n'.join(decode_line(line) for line in lines_found) except PermissionError as e: logger.warning("日志文件权限不足 (%s): %s", log_file, e) return "(无法读取日志文件: 权限不足)" except IOError as e: logger.warning("日志文件读取IO错误 (%s): %s", log_file, e) return f"(无法读取日志文件: IO错误 - {e})" except Exception as e: logger.warning("读取日志文件失败 (%s): %s", log_file, e, exc_info=True) return f"(无法读取日志文件: {type(e).__name__} - {e})" # 单例实例 _executor = CommandExecutor() # 快捷函数 def execute_and_wait( tool_name: str, command: str, timeout: int, log_file: Optional[str] = None ) -> Dict[str, Any]: """ 等待式执行命令（快捷函数） 适用场景：工具输出到文件（如 subfinder -o output.txt） Args: tool_name: 工具名称 command: 扫描命令（包含输出文件参数） timeout: 超时时间（秒） log_file: 日志文件路径（可选） Returns: 执行结果字典（包含 duration 字段） Raises: RuntimeError: 执行失败或超时 """ return _executor.execute_and_wait(tool_name, command, timeout, log_file) def execute_stream( cmd: str, tool_name: str, cwd: Optional[str] = None, shell: bool = False, encoding: str = 'utf-8', suffix_char: Optional[str] = None, timeout: Optional[int] = None, log_file: Optional[str] = None ) -> Generator[str, None, None]: """ 流式执行命令（快捷函数） 适用场景：工具流式输出 JSON（如 naabu -json） Args: cmd: 要执行的命令 tool_name: 工具名称 cwd: 工作目录 shell: 是否使用 shell 执行 encoding: 编码格式 suffix_char: 末尾后缀字符 timeout: 命令执行超时时间（秒） log_file: 日志文件路径（可选） Yields: str: 每行输出的内容 Raises: subprocess.TimeoutExpired: 命令执行超时 """ return _executor.execute_stream(cmd, tool_name, cwd, shell, encoding, suffix_char, timeout, log_file) ================================================ FILE: backend/apps/scan/utils/config_merger.py ================================================ """ 配置合并工具模块 提供多引擎 YAML 配置的冲突检测和合并功能。 """ from typing import List, Tuple import yaml class ConfigConflictError(Exception): """配置冲突异常 当两个或多个引擎定义相同的顶层扫描类型键时抛出。 """ def __init__(self, conflicts: List[Tuple[str, str, str]]): """ 参数: conflicts: (键, 引擎1名称, 引擎2名称) 元组列表 """ self.conflicts = conflicts msg = "; ".join([f"{k} 同时存在于「{e1}」和「{e2}」" for k, e1, e2 in conflicts]) super().__init__(f"扫描类型冲突: {msg}") def merge_engine_configs(engines: List[Tuple[str, str]]) -> str: """ 合并多个引擎的 YAML 配置。 参数: engines: (引擎名称, 配置YAML) 元组列表 返回: 合并后的 YAML 字符串 异常: ConfigConflictError: 当顶层键冲突时 """ if not engines: return "" if len(engines) == 1: return engines[0][1] # 追踪每个顶层键属于哪个引擎 key_to_engine: dict[str, str] = {} conflicts: List[Tuple[str, str, str]] = [] for engine_name, config_yaml in engines: if not config_yaml or not config_yaml.strip(): continue try: parsed = yaml.safe_load(config_yaml) except yaml.YAMLError: # 无效 YAML 跳过 continue if not isinstance(parsed, dict): continue # 检查顶层键冲突 for key in parsed.keys(): if key in key_to_engine: conflicts.append((key, key_to_engine[key], engine_name)) else: key_to_engine[key] = engine_name if conflicts: raise ConfigConflictError(conflicts) # 无冲突，用双换行符连接配置 configs = [] for _, config_yaml in engines: if config_yaml and config_yaml.strip(): configs.append(config_yaml.strip()) return "\n\n".join(configs) ================================================ FILE: backend/apps/scan/utils/config_parser.py ================================================ """ 配置解析器 负责解析引擎配置（YAML）并提取启用的工具及其配置。 架构说明： - 命令模板：在 command_templates.py 中定义（基础命令 + 可选参数映射） - 工具配置：从引擎配置（engine_config YAML 字符串）读取 - 无默认配置文件：所有配置必须在引擎配置中提供 核心函数： - parse_enabled_tools_from_dict(): 解析并过滤启用的工具，返回工具配置字典 返回格式： - {'subfinder': {'enabled': True, 'threads': 10, 'timeout': 600}} - timeout 是必需参数，支持整数或 'auto'（由具体 Flow 处理） """ import logging from typing import Dict, Any logger = logging.getLogger(__name__) def _normalize_config_keys(config: Dict[str, Any]) -> Dict[str, Any]: """ 将配置字典的 key 中划线转换为下划线 规范约定： - 配置文件统一用中划线（贴近 CLI 参数风格） - 代码里统一用下划线（Python 标识符规范） - 此处自动转换：rate-limit → rate_limit Args: config: 原始配置字典 Returns: key 已转换的新字典 Raises: ValueError: 配置为 None 或非字典类型时抛出 """ if config is None: 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") if not isinstance(config, dict): raise ValueError(f"配置格式错误：期望 dict，实际 {type(config).__name__}") return { k.replace('-', '_') if isinstance(k, str) else k: v for k, v in config.items() } def _parse_subdomain_discovery_config(scan_config: Dict[str, Any]) -> Dict[str, Any]: """ 解析子域名发现配置（4阶段流程） 配置格式： { 'passive_tools': {'subfinder': {...}, ...}, 'bruteforce': {'enabled': True, 'subdomain_bruteforce': {...}}, 'permutation': {'enabled': True, 'subdomain_permutation_resolve': {...}}, 'resolve': {'enabled': True, 'subdomain_resolve': {...}} } Args: scan_config: subdomain_discovery 的配置字典 Returns: 配置字典，供 Flow 使用 """ if 'passive_tools' not in scan_config: logger.warning("子域名发现配置缺少 passive_tools") return {} result = {} # Stage 1: 被动收集工具 passive_tools = scan_config.get('passive_tools', {}) enabled_passive = {} for name, config in passive_tools.items(): if isinstance(config, dict) and config.get('enabled', False): enabled_passive[name] = _normalize_config_keys(config) result['passive_tools'] = enabled_passive # Stage 2: 字典爆破（可选） bruteforce = scan_config.get('bruteforce', {}) if bruteforce.get('enabled', False): # 转换内部工具配置的 key normalized_bruteforce = _normalize_config_keys(bruteforce) if 'subdomain_bruteforce' in normalized_bruteforce: normalized_bruteforce['subdomain_bruteforce'] = _normalize_config_keys( normalized_bruteforce['subdomain_bruteforce'] ) result['bruteforce'] = normalized_bruteforce # Stage 3: 变异生成（可选） permutation = scan_config.get('permutation', {}) if permutation.get('enabled', False): normalized_permutation = _normalize_config_keys(permutation) if 'subdomain_permutation_resolve' in normalized_permutation: normalized_permutation['subdomain_permutation_resolve'] = _normalize_config_keys( normalized_permutation['subdomain_permutation_resolve'] ) result['permutation'] = normalized_permutation # Stage 4: 存活验证（可选） resolve = scan_config.get('resolve', {}) if resolve.get('enabled', False): normalized_resolve = _normalize_config_keys(resolve) if 'subdomain_resolve' in normalized_resolve: normalized_resolve['subdomain_resolve'] = _normalize_config_keys( normalized_resolve['subdomain_resolve'] ) result['resolve'] = normalized_resolve logger.info( f"子域名发现: passive={len(enabled_passive)}, " f"bruteforce={'bruteforce' in result}, " f"permutation={'permutation' in result}, " f"resolve={'resolve' in result}" ) return result def parse_enabled_tools_from_dict( scan_type: str, parsed_config: Dict[str, Any] ) -> Dict[str, Dict[str, Any]]: """ 从解析后的配置字典中获取启用的工具及其配置 Args: scan_type: 扫描类型 (subdomain_discovery, port_scan, site_scan, directory_scan) parsed_config: 已解析的配置字典 Returns: 启用的工具配置字典 {tool_name: tool_config} 对于 subdomain_discovery，返回完整的配置结构（支持4阶段增强流程） Raises: ValueError: 配置格式错误或必需参数缺失/无效时抛出 """ if not parsed_config: logger.warning(f"配置字典为空 - scan_type: {scan_type}") return {} if scan_type not in parsed_config: logger.warning(f"配置中未找到扫描类型: {scan_type}") return {} scan_config = parsed_config[scan_type] # 子域名发现支持增强配置格式（4阶段） if scan_type == 'subdomain_discovery': return _parse_subdomain_discovery_config(scan_config) if 'tools' not in scan_config: logger.warning(f"扫描类型 {scan_type} 未配置任何工具") return {} tools = scan_config['tools'] # 过滤出启用的工具 enabled_tools = {} for name, config in tools.items(): if not isinstance(config, dict): raise ValueError(f"工具 {name} 配置格式错误：期望 dict，实际 {type(config).__name__}") # 检查是否启用（默认为 False） enabled_value = config.get('enabled', False) # 验证 enabled 字段类型 if not isinstance(enabled_value, bool): raise ValueError( f"工具 {name} 的 enabled 字段类型错误：期望 bool，实际 {type(enabled_value).__name__}" ) if enabled_value: # timeout 默认为 'auto'，由具体 Flow 自动计算 timeout_value = config.get('timeout', 'auto') # 验证 timeout 值的有效性 if timeout_value != 'auto': if isinstance(timeout_value, int): if timeout_value <= 0: raise ValueError(f"工具 {name} 的 timeout 参数无效（{timeout_value}），必须大于0") else: raise ValueError( f"工具 {name} 的 timeout 参数类型错误：期望 int 或 'auto'，实际 {type(timeout_value).__name__}" ) # 将配置 key 中划线转为下划线，统一给下游代码使用 normalized_config = _normalize_config_keys(config) normalized_config['timeout'] = timeout_value # 确保 timeout 存在 enabled_tools[name] = normalized_config logger.info(f"扫描类型: {scan_type}, 启用工具: {len(enabled_tools)}/{len(tools)}") return enabled_tools ================================================ FILE: backend/apps/scan/utils/directory_cleanup.py ================================================ """ 目录清理工具模块 提供通用的目录清理功能 """ import logging import shutil from pathlib import Path logger = logging.getLogger(__name__) def remove_directory(directory: str) -> bool: """ 删除目录及其所有内容 Args: directory: 目录路径 Returns: 是否删除成功 Warning: 此函数会永久删除目录及其所有内容，请谨慎使用！ Example: >>> remove_directory('/path/to/directory') True """ if not directory: logger.warning("目录路径为空，跳过删除") return False try: dir_path = Path(directory) if not dir_path.exists(): logger.warning("目录不存在，无需删除 - Path: %s", directory) return True # 删除整个目录 shutil.rmtree(dir_path) logger.info("✓ 目录已删除 - Path: %s", directory) return True except PermissionError as e: logger.error("权限不足，无法删除目录 - Path: %s, 错误: %s", directory, e) return False except Exception as e: # noqa: BLE001 logger.exception("删除目录失败 - Path: %s, 错误: %s", directory, e) return False __all__ = [ 'remove_directory', ] ================================================ FILE: backend/apps/scan/utils/fingerprint_helpers.py ================================================ """指纹文件本地缓存工具 提供 Worker 侧的指纹文件缓存和版本校验功能，用于： - 指纹识别扫描 (fingerprint_detect_flow) """ import json import logging import os from django.conf import settings logger = logging.getLogger(__name__) # 指纹库映射：lib_name → ensure_func_name FINGERPRINT_LIB_MAP = { 'ehole': 'ensure_ehole_fingerprint_local', 'goby': 'ensure_goby_fingerprint_local', 'wappalyzer': 'ensure_wappalyzer_fingerprint_local', 'fingers': 'ensure_fingers_fingerprint_local', 'fingerprinthub': 'ensure_fingerprinthub_fingerprint_local', 'arl': 'ensure_arl_fingerprint_local', } def ensure_ehole_fingerprint_local() -> str: """ 确保本地存在最新的 EHole 指纹文件（带缓存） 流程： 1. 获取当前指纹库版本 2. 检查缓存文件是否存在且版本匹配 3. 版本不匹配则重新导出 Returns: str: 本地指纹文件路径 使用场景： Worker 执行扫描任务前调用，获取最新指纹文件路径 """ from apps.engine.services.fingerprints import EholeFingerprintService service = EholeFingerprintService() current_version = service.get_fingerprint_version() # 缓存目录和文件 base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints') os.makedirs(base_dir, exist_ok=True) cache_file = os.path.join(base_dir, 'ehole.json') version_file = os.path.join(base_dir, 'ehole.version') # 检查缓存版本 cached_version = None if os.path.exists(version_file): try: with open(version_file, 'r') as f: cached_version = f.read().strip() except OSError as e: logger.warning("读取版本文件失败: %s", e) # 版本匹配，直接返回缓存 if cached_version == current_version and os.path.exists(cache_file): logger.info("EHole 指纹文件缓存有效（版本匹配）: %s", cache_file) return cache_file # 版本不匹配，重新导出 logger.info( "EHole 指纹文件需要更新: cached=%s, current=%s", cached_version, current_version ) count = service.export_to_file(cache_file) # 写入版本文件 try: with open(version_file, 'w') as f: f.write(current_version) except OSError as e: logger.warning("写入版本文件失败: %s", e) logger.info("EHole 指纹文件已更新: %s", cache_file) return cache_file def ensure_goby_fingerprint_local() -> str: """ 确保本地存在最新的 Goby 指纹文件（带缓存） Returns: str: 本地指纹文件路径 """ from apps.engine.services.fingerprints import GobyFingerprintService service = GobyFingerprintService() current_version = service.get_fingerprint_version() # 缓存目录和文件 base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints') os.makedirs(base_dir, exist_ok=True) cache_file = os.path.join(base_dir, 'goby.json') version_file = os.path.join(base_dir, 'goby.version') # 检查缓存版本 cached_version = None if os.path.exists(version_file): try: with open(version_file, 'r') as f: cached_version = f.read().strip() except OSError as e: logger.warning("读取 Goby 版本文件失败: %s", e) # 版本匹配，直接返回缓存 if cached_version == current_version and os.path.exists(cache_file): logger.info("Goby 指纹文件缓存有效（版本匹配）: %s", cache_file) return cache_file # 版本不匹配，重新导出 logger.info( "Goby 指纹文件需要更新: cached=%s, current=%s", cached_version, current_version ) # Goby 导出格式是数组，直接写入 data = service.get_export_data() with open(cache_file, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False) # 写入版本文件 try: with open(version_file, 'w') as f: f.write(current_version) except OSError as e: logger.warning("写入 Goby 版本文件失败: %s", e) logger.info("Goby 指纹文件已更新: %s", cache_file) return cache_file def ensure_wappalyzer_fingerprint_local() -> str: """ 确保本地存在最新的 Wappalyzer 指纹文件（带缓存） Returns: str: 本地指纹文件路径 """ from apps.engine.services.fingerprints import WappalyzerFingerprintService service = WappalyzerFingerprintService() current_version = service.get_fingerprint_version() # 缓存目录和文件 base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints') os.makedirs(base_dir, exist_ok=True) cache_file = os.path.join(base_dir, 'wappalyzer.json') version_file = os.path.join(base_dir, 'wappalyzer.version') # 检查缓存版本 cached_version = None if os.path.exists(version_file): try: with open(version_file, 'r') as f: cached_version = f.read().strip() except OSError as e: logger.warning("读取 Wappalyzer 版本文件失败: %s", e) # 版本匹配，直接返回缓存 if cached_version == current_version and os.path.exists(cache_file): logger.info("Wappalyzer 指纹文件缓存有效（版本匹配）: %s", cache_file) return cache_file # 版本不匹配，重新导出 logger.info( "Wappalyzer 指纹文件需要更新: cached=%s, current=%s", cached_version, current_version ) # Wappalyzer 导出格式是 {"apps": {...}} data = service.get_export_data() with open(cache_file, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False) # 写入版本文件 try: with open(version_file, 'w') as f: f.write(current_version) except OSError as e: logger.warning("写入 Wappalyzer 版本文件失败: %s", e) logger.info("Wappalyzer 指纹文件已更新: %s", cache_file) return cache_file def get_fingerprint_paths(lib_names: list) -> dict: """ 获取多个指纹库的本地路径 Args: lib_names: 指纹库名称列表，如 ['ehole', 'goby'] Returns: dict: {lib_name: local_path}，如 {'ehole': '/opt/xingrin/fingerprints/ehole.json'} 示例： paths = get_fingerprint_paths(['ehole']) # {'ehole': '/opt/xingrin/fingerprints/ehole.json'} """ paths = {} for lib_name in lib_names: if lib_name not in FINGERPRINT_LIB_MAP: logger.warning("不支持的指纹库: %s，跳过", lib_name) continue ensure_func_name = FINGERPRINT_LIB_MAP[lib_name] # 获取当前模块中的函数 ensure_func = globals().get(ensure_func_name) if ensure_func is None: logger.warning("指纹库 %s 的导出函数 %s 未实现，跳过", lib_name, ensure_func_name) continue try: paths[lib_name] = ensure_func() except Exception as e: logger.error("获取指纹库 %s 路径失败: %s", lib_name, e) continue return paths def ensure_fingers_fingerprint_local() -> str: """ 确保本地存在最新的 Fingers 指纹文件（带缓存） Returns: str: 本地指纹文件路径 """ from apps.engine.services.fingerprints import FingersFingerprintService service = FingersFingerprintService() current_version = service.get_fingerprint_version() # 缓存目录和文件 base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints') os.makedirs(base_dir, exist_ok=True) cache_file = os.path.join(base_dir, 'fingers.json') version_file = os.path.join(base_dir, 'fingers.version') # 检查缓存版本 cached_version = None if os.path.exists(version_file): try: with open(version_file, 'r') as f: cached_version = f.read().strip() except OSError as e: logger.warning("读取 Fingers 版本文件失败: %s", e) # 版本匹配，直接返回缓存 if cached_version == current_version and os.path.exists(cache_file): logger.info("Fingers 指纹文件缓存有效（版本匹配）: %s", cache_file) return cache_file # 版本不匹配，重新导出 logger.info( "Fingers 指纹文件需要更新: cached=%s, current=%s", cached_version, current_version ) data = service.get_export_data() with open(cache_file, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False) # 写入版本文件 try: with open(version_file, 'w') as f: f.write(current_version) except OSError as e: logger.warning("写入 Fingers 版本文件失败: %s", e) logger.info("Fingers 指纹文件已更新: %s", cache_file) return cache_file def ensure_fingerprinthub_fingerprint_local() -> str: """ 确保本地存在最新的 FingerPrintHub 指纹文件（带缓存） Returns: str: 本地指纹文件路径 """ from apps.engine.services.fingerprints import FingerPrintHubFingerprintService service = FingerPrintHubFingerprintService() current_version = service.get_fingerprint_version() # 缓存目录和文件 base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints') os.makedirs(base_dir, exist_ok=True) cache_file = os.path.join(base_dir, 'fingerprinthub.json') version_file = os.path.join(base_dir, 'fingerprinthub.version') # 检查缓存版本 cached_version = None if os.path.exists(version_file): try: with open(version_file, 'r') as f: cached_version = f.read().strip() except OSError as e: logger.warning("读取 FingerPrintHub 版本文件失败: %s", e) # 版本匹配，直接返回缓存 if cached_version == current_version and os.path.exists(cache_file): logger.info("FingerPrintHub 指纹文件缓存有效（版本匹配）: %s", cache_file) return cache_file # 版本不匹配，重新导出 logger.info( "FingerPrintHub 指纹文件需要更新: cached=%s, current=%s", cached_version, current_version ) data = service.get_export_data() with open(cache_file, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False) # 写入版本文件 try: with open(version_file, 'w') as f: f.write(current_version) except OSError as e: logger.warning("写入 FingerPrintHub 版本文件失败: %s", e) logger.info("FingerPrintHub 指纹文件已更新: %s", cache_file) return cache_file def ensure_arl_fingerprint_local() -> str: """ 确保本地存在最新的 ARL 指纹文件（带缓存） Returns: str: 本地指纹文件路径（YAML 格式） """ import yaml from apps.engine.services.fingerprints import ARLFingerprintService service = ARLFingerprintService() current_version = service.get_fingerprint_version() # 缓存目录和文件 base_dir = getattr(settings, 'FINGERPRINTS_BASE_PATH', '/opt/xingrin/fingerprints') os.makedirs(base_dir, exist_ok=True) cache_file = os.path.join(base_dir, 'arl.yaml') version_file = os.path.join(base_dir, 'arl.version') # 检查缓存版本 cached_version = None if os.path.exists(version_file): try: with open(version_file, 'r') as f: cached_version = f.read().strip() except OSError as e: logger.warning("读取 ARL 版本文件失败: %s", e) # 版本匹配，直接返回缓存 if cached_version == current_version and os.path.exists(cache_file): logger.info("ARL 指纹文件缓存有效（版本匹配）: %s", cache_file) return cache_file # 版本不匹配，重新导出 logger.info( "ARL 指纹文件需要更新: cached=%s, current=%s", cached_version, current_version ) data = service.get_export_data() with open(cache_file, 'w', encoding='utf-8') as f: yaml.dump(data, f, allow_unicode=True, default_flow_style=False) # 写入版本文件 try: with open(version_file, 'w') as f: f.write(current_version) except OSError as e: logger.warning("写入 ARL 版本文件失败: %s", e) logger.info("ARL 指纹文件已更新: %s", cache_file) return cache_file __all__ = [ "ensure_ehole_fingerprint_local", "ensure_goby_fingerprint_local", "ensure_wappalyzer_fingerprint_local", "ensure_fingers_fingerprint_local", "ensure_fingerprinthub_fingerprint_local", "ensure_arl_fingerprint_local", "get_fingerprint_paths", "FINGERPRINT_LIB_MAP", ] ================================================ FILE: backend/apps/scan/utils/nuclei_helpers.py ================================================ """Nuclei 模板 Worker 侧工具函数 提供 Worker 侧确保本地模板与 Server 版本一致的功能。 使用 Git commit hash 做版本校验： - 从数据库获取 Server 的 commit_hash - 检查本地仓库的 commit hash 是否一致 - 不一致则 git fetch + git checkout 到指定 commit 调用示例： template_path = ensure_nuclei_templates_local("nuclei-templates") # 返回本地模板目录路径，可直接用于 nuclei -t 参数 """ import logging import subprocess from pathlib import Path from typing import Optional from django.conf import settings from apps.engine.models import NucleiTemplateRepo logger = logging.getLogger(__name__) def get_local_commit_hash(local_path: Path) -> Optional[str]: """获取本地 Git 仓库的当前 commit hash Args: local_path: 本地仓库路径 Returns: commit hash 字符串，失败返回 None """ if not (local_path / ".git").is_dir(): return None result = subprocess.run( ["git", "-C", str(local_path), "rev-parse", "HEAD"], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) if result.returncode == 0: return result.stdout.strip() return None def git_clone(repo_url: str, local_path: Path) -> bool: """Git clone 仓库 Args: repo_url: 仓库 URL local_path: 本地路径 Returns: 是否成功 """ logger.info("正在 clone 模板仓库: %s -> %s", repo_url, local_path) result = subprocess.run( ["git", "clone", "--depth", "1", repo_url, str(local_path)], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) if result.returncode != 0: logger.error("git clone 失败: %s", result.stderr.strip()) return False return True def git_fetch_and_checkout(local_path: Path, commit_hash: str) -> bool: """Git fetch 并 checkout 到指定 commit Args: local_path: 本地仓库路径 commit_hash: 目标 commit hash Returns: 是否成功 """ logger.info("正在同步模板到 commit: %s", commit_hash[:8]) # 先 unshallow（如果是浅克隆） subprocess.run( ["git", "-C", str(local_path), "fetch", "--unshallow"], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) # fetch origin fetch_result = subprocess.run( ["git", "-C", str(local_path), "fetch", "origin"], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) if fetch_result.returncode != 0: logger.error("git fetch 失败: %s", fetch_result.stderr.strip()) return False # checkout 到指定 commit checkout_result = subprocess.run( ["git", "-C", str(local_path), "checkout", commit_hash], check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, ) if checkout_result.returncode != 0: logger.error("git checkout 失败: %s", checkout_result.stderr.strip()) return False return True def ensure_nuclei_templates_local(repo_name: str) -> str: """确保 Worker 本地模板与 Server 版本一致 根据仓库名称查询数据库，获取 repo_url 和 commit_hash， 然后确保本地仓库存在且版本与 Server 一致。 Args: repo_name: 模板仓库名称，对应 NucleiTemplateRepo.name Returns: 本地模板目录的绝对路径 Raises: ValueError: 仓库不存在 RuntimeError: Git 操作失败 """ # 从数据库查询仓库记录 repo = NucleiTemplateRepo.objects.filter(name=repo_name).first() if not repo: raise ValueError(f"未找到模板仓库: {repo_name}，请先在「Nuclei 模板」中添加并同步") repo_url = repo.repo_url expected_hash = repo.commit_hash if not repo_url: raise ValueError(f"模板仓库 {repo_name} 缺少 repo_url") # 本地存储路径 base_dir = getattr(settings, "NUCLEI_TEMPLATES_REPOS_BASE_DIR", "/opt/xingrin/nuclei-repos") local_path = Path(base_dir) / repo_name.replace(" ", "-").lower() local_path.mkdir(parents=True, exist_ok=True) # 检查本地是否有 .git 目录 if not (local_path / ".git").is_dir(): # 首次：git clone if not git_clone(repo_url, local_path): raise RuntimeError(f"无法 clone 模板仓库: {repo_name}") else: # 已有仓库：检查 commit hash local_hash = get_local_commit_hash(local_path) if expected_hash and local_hash != expected_hash: # commit 不一致：同步到 Server 版本 logger.info( "本地模板版本不一致: local=%s, server=%s", (local_hash or "N/A")[:8], expected_hash[:8], ) if not git_fetch_and_checkout(local_path, expected_hash): raise RuntimeError(f"无法同步模板仓库到指定版本: {repo_name}") elif not expected_hash: # Server 没有 commit_hash（未同步过），保持本地版本 logger.warning("模板仓库 %s 在 Server 端未同步，使用本地版本", repo_name) else: logger.info("本地模板版本一致: %s", local_hash[:8] if local_hash else "N/A") return str(local_path) __all__ = ["ensure_nuclei_templates_local"] ================================================ FILE: backend/apps/scan/utils/performance.py ================================================ """ 性能监控工具模块 提供 Flow 层的性能监控能力 功能： 1. Flow 性能监控 - 记录整体流程耗时、系统资源（CPU/内存） 2. 定时采样 - 每 N 秒记录一次系统资源状态 使用方式： # Flow 层（在 handlers 中使用） from apps.scan.utils.performance import FlowPerformanceTracker tracker = FlowPerformanceTracker(flow_name, scan_id) tracker.start() # ... 执行流程 ... tracker.finish(success=True, result=result) """ import logging import threading import time from dataclasses import dataclass from typing import Optional try: import psutil except ImportError: psutil = None # 性能日志使用专门的 logger perf_logger = logging.getLogger('performance') # 采样间隔（秒） SAMPLE_INTERVAL = 30 def _get_system_stats() -> dict: """ 获取当前系统资源状态 Returns: dict: {'cpu_percent': float, 'memory_gb': float, 'memory_percent': float} """ if not psutil: return {'cpu_percent': 0.0, 'memory_gb': 0.0, 'memory_percent': 0.0} try: cpu_percent = psutil.cpu_percent(interval=0.1) memory = psutil.virtual_memory() memory_gb = memory.used / (1024 ** 3) memory_percent = memory.percent # psutil 直接提供内存使用百分比 return { 'cpu_percent': cpu_percent, 'memory_gb': memory_gb, 'memory_percent': memory_percent } except Exception: return {'cpu_percent': 0.0, 'memory_gb': 0.0, 'memory_percent': 0.0} @dataclass class FlowPerformanceMetrics: """Flow 性能指标""" flow_name: str scan_id: int target_id: Optional[int] = None target_name: Optional[str] = None # 时间指标 start_time: float = 0.0 end_time: float = 0.0 duration_seconds: float = 0.0 # 系统资源指标 cpu_start: float = 0.0 cpu_end: float = 0.0 cpu_peak: float = 0.0 memory_gb_start: float = 0.0 memory_gb_end: float = 0.0 memory_gb_peak: float = 0.0 memory_percent_start: float = 0.0 memory_percent_end: float = 0.0 memory_percent_peak: float = 0.0 # 执行结果 success: bool = False error_message: Optional[str] = None class FlowPerformanceTracker: """ Flow 性能追踪器 用于追踪 Prefect Flow 的执行性能，包括： - 执行耗时 - 系统 CPU 和内存使用 - 定时采样（每 30 秒） 使用方式： tracker = FlowPerformanceTracker("directory_scan", scan_id=1) tracker.start(target_id=1, target_name="example.com") # ... flow 执行 ... tracker.finish(success=True, result={'created_count': 100}) """ def __init__(self, flow_name: str, scan_id: int): self.metrics = FlowPerformanceMetrics( flow_name=flow_name, scan_id=scan_id ) self._sampler_thread: Optional[threading.Thread] = None self._stop_event = threading.Event() self._samples: list[dict] = [] def start( self, target_id: Optional[int] = None, target_name: Optional[str] = None ) -> None: """开始追踪""" self.metrics.start_time = time.time() self.metrics.target_id = target_id self.metrics.target_name = target_name # 记录初始系统状态 stats = _get_system_stats() self.metrics.cpu_start = stats['cpu_percent'] self.metrics.memory_gb_start = stats['memory_gb'] self.metrics.memory_percent_start = stats['memory_percent'] self.metrics.cpu_peak = stats['cpu_percent'] self.metrics.memory_gb_peak = stats['memory_gb'] self.metrics.memory_percent_peak = stats['memory_percent'] # 记录开始日志 perf_logger.info( "📊 Flow 开始 - %s, scan_id=%d, 系统: CPU %.1f%%, 内存 %.1fGB(%.1f%%)", self.metrics.flow_name, self.metrics.scan_id, stats['cpu_percent'], stats['memory_gb'], stats['memory_percent'] ) # 启动采样线程 self._stop_event.clear() self._sampler_thread = threading.Thread( target=self._sample_loop, daemon=True, name=f"perf-sampler-{self.metrics.flow_name}-{self.metrics.scan_id}" ) self._sampler_thread.start() def _sample_loop(self) -> None: """定时采样循环""" elapsed = 0 while not self._stop_event.wait(timeout=SAMPLE_INTERVAL): elapsed += SAMPLE_INTERVAL stats = _get_system_stats() # 更新峰值 if stats['cpu_percent'] > self.metrics.cpu_peak: self.metrics.cpu_peak = stats['cpu_percent'] if stats['memory_gb'] > self.metrics.memory_gb_peak: self.metrics.memory_gb_peak = stats['memory_gb'] if stats['memory_percent'] > self.metrics.memory_percent_peak: self.metrics.memory_percent_peak = stats['memory_percent'] # 记录采样 self._samples.append({ 'elapsed': elapsed, 'cpu': stats['cpu_percent'], 'memory_gb': stats['memory_gb'], 'memory_percent': stats['memory_percent'] }) # 输出采样日志 perf_logger.info( "📊 Flow 执行中 - %s [%ds], 系统: CPU %.1f%%, 内存 %.1fGB(%.1f%%)", self.metrics.flow_name, elapsed, stats['cpu_percent'], stats['memory_gb'], stats['memory_percent'] ) def finish( self, success: bool = True, error_message: Optional[str] = None ) -> None: """ 结束追踪并记录性能日志 Args: success: 是否成功 error_message: 错误信息 """ # 停止采样线程 self._stop_event.set() if self._sampler_thread and self._sampler_thread.is_alive(): self._sampler_thread.join(timeout=1.0) # 记录结束时间和状态 self.metrics.end_time = time.time() self.metrics.duration_seconds = self.metrics.end_time - self.metrics.start_time self.metrics.success = success self.metrics.error_message = error_message # 记录结束时的系统状态 stats = _get_system_stats() self.metrics.cpu_end = stats['cpu_percent'] self.metrics.memory_gb_end = stats['memory_gb'] self.metrics.memory_percent_end = stats['memory_percent'] # 更新峰值（最后一次采样） if stats['cpu_percent'] > self.metrics.cpu_peak: self.metrics.cpu_peak = stats['cpu_percent'] if stats['memory_gb'] > self.metrics.memory_gb_peak: self.metrics.memory_gb_peak = stats['memory_gb'] if stats['memory_percent'] > self.metrics.memory_percent_peak: self.metrics.memory_percent_peak = stats['memory_percent'] # 记录结束日志 status = "✓" if success else "✗" perf_logger.info( "📊 Flow 结束 - %s %s, scan_id=%d, 耗时: %.1fs, " "CPU: %.1f%%→%.1f%%(峰值%.1f%%), 内存: %.1fGB(%.1f%%)→%.1fGB(%.1f%%)(峰值%.1fGB/%.1f%%)", self.metrics.flow_name, status, self.metrics.scan_id, self.metrics.duration_seconds, self.metrics.cpu_start, self.metrics.cpu_end, self.metrics.cpu_peak, self.metrics.memory_gb_start, self.metrics.memory_percent_start, self.metrics.memory_gb_end, self.metrics.memory_percent_end, self.metrics.memory_gb_peak, self.metrics.memory_percent_peak ) if not success and error_message: perf_logger.warning( "📊 Flow 失败原因 - %s: %s", self.metrics.flow_name, error_message ) def _get_process_stats(pid: int) -> dict: """ 获取指定进程及其子进程的资源使用（类似 htop 显示） Args: pid: 进程 ID Returns: dict: { 'cpu_percent': float, # 进程 CPU 使用率 'memory_mb': float, # 进程内存使用 (MB) 'memory_percent': float # 进程内存占比 } """ if not psutil: return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0} try: process = psutil.Process(pid) # 获取进程及所有子进程 children = process.children(recursive=True) all_processes = [process] + children total_cpu = 0.0 total_memory = 0 for p in all_processes: try: # CPU 百分比计算： # - interval=0 使用上次调用的缓存值（需要先调用过一次初始化） # - 如果没有缓存值，会返回 0.0 # - 这避免了每次采样都等待 0.1 秒的问题 cpu_percent = p.cpu_percent() total_cpu += cpu_percent mem_info = p.memory_info() total_memory += mem_info.rss # RSS: Resident Set Size except (psutil.NoSuchProcess, psutil.AccessDenied): continue # 转换为 MB memory_mb = total_memory / (1024 * 1024) # 计算内存占比 total_mem = psutil.virtual_memory().total memory_percent = (total_memory / total_mem) * 100 if total_mem > 0 else 0.0 return { 'cpu_percent': total_cpu, 'memory_mb': memory_mb, 'memory_percent': memory_percent } except (psutil.NoSuchProcess, psutil.AccessDenied): return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0} except Exception: return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0} class CommandPerformanceTracker: """ 命令执行性能追踪器 用于追踪单个命令的执行性能，包括： - 执行耗时 - 进程级 CPU 和内存使用（类似 htop） - 系统整体资源状态 使用方式： tracker = CommandPerformanceTracker("ffuf", command="ffuf -u http://...") tracker.start() tracker.set_pid(process.pid) # 进程启动后设置 PID # ... 执行命令 ... tracker.finish(success=True, duration=45.2) """ def __init__(self, tool_name: str, command: str = ""): self.tool_name = tool_name self.command = command self.start_time: float = 0.0 self.pid: Optional[int] = None # 系统级资源 self.sys_cpu_start: float = 0.0 self.sys_memory_gb_start: float = 0.0 self.sys_memory_percent_start: float = 0.0 # 进程级资源峰值 self.proc_cpu_peak: float = 0.0 self.proc_memory_mb_peak: float = 0.0 self.proc_memory_percent_peak: float = 0.0 def start(self) -> None: """开始追踪，记录初始系统状态""" self.start_time = time.time() stats = _get_system_stats() self.sys_cpu_start = stats['cpu_percent'] self.sys_memory_gb_start = stats['memory_gb'] self.sys_memory_percent_start = stats['memory_percent'] # 截断过长的命令 cmd_display = self.command[:200] + "..." if len(self.command) > 200 else self.command perf_logger.info( "📊 命令开始 - %s, 系统: CPU %.1f%%, 内存 %.1fGB(%.1f%%), 命令: %s", self.tool_name, self.sys_cpu_start, self.sys_memory_gb_start, self.sys_memory_percent_start, cmd_display ) def set_pid(self, pid: int) -> None: """ 设置要追踪的进程 PID Args: pid: 进程 ID """ self.pid = pid # 初始化 CPU 采样（psutil 需要先调用一次） # 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 if psutil and pid: try: process = psutil.Process(pid) # 第一次调用初始化 CPU 计算基准 process.cpu_percent() # 为所有子进程也初始化 CPU 计算 for child in process.children(recursive=True): try: child.cpu_percent() except (psutil.NoSuchProcess, psutil.AccessDenied): pass except (psutil.NoSuchProcess, psutil.AccessDenied): pass def sample(self) -> dict: """ 采样当前进程资源使用（可选，用于长时间运行的命令） Returns: dict: 进程资源使用情况 """ if not self.pid: return {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0} stats = _get_process_stats(self.pid) # 更新峰值 if stats['cpu_percent'] > self.proc_cpu_peak: self.proc_cpu_peak = stats['cpu_percent'] if stats['memory_mb'] > self.proc_memory_mb_peak: self.proc_memory_mb_peak = stats['memory_mb'] if stats['memory_percent'] > self.proc_memory_percent_peak: self.proc_memory_percent_peak = stats['memory_percent'] return stats def finish( self, success: bool = True, duration: Optional[float] = None, timeout: Optional[int] = None, is_timeout: bool = False ) -> None: """ 结束追踪并记录性能日志 Args: success: 是否成功 duration: 执行耗时（秒），如果不传则自动计算 timeout: 超时配置（秒） is_timeout: 是否超时 """ # 计算耗时 if duration is None: duration = time.time() - self.start_time # 获取结束时的系统状态 sys_stats = _get_system_stats() # 获取进程最终资源使用（如果进程还在） proc_stats = {'cpu_percent': 0.0, 'memory_mb': 0.0, 'memory_percent': 0.0} if self.pid: proc_stats = _get_process_stats(self.pid) # 更新峰值 if proc_stats['cpu_percent'] > self.proc_cpu_peak: self.proc_cpu_peak = proc_stats['cpu_percent'] if proc_stats['memory_mb'] > self.proc_memory_mb_peak: self.proc_memory_mb_peak = proc_stats['memory_mb'] if proc_stats['memory_percent'] > self.proc_memory_percent_peak: self.proc_memory_percent_peak = proc_stats['memory_percent'] status = "✓" if success else ("⏱ 超时" if is_timeout else "✗") # 截断过长的命令 cmd_display = self.command[:200] + "..." if len(self.command) > 200 else self.command # 日志格式：进程资源 + 系统资源 if self.pid and (self.proc_cpu_peak > 0 or self.proc_memory_mb_peak > 0): perf_logger.info( "📊 命令结束 - %s %s, 耗时: %.2fs%s, " "进程: CPU %.1f%%(峰值), 内存 %.1fMB(%.1f%%峰值), " "系统: CPU %.1f%%→%.1f%%, 内存 %.1fGB(%.1f%%)→%.1fGB(%.1f%%), " "命令: %s", self.tool_name, status, duration, f", 超时配置: {timeout}s" if timeout else "", self.proc_cpu_peak, self.proc_memory_mb_peak, self.proc_memory_percent_peak, self.sys_cpu_start, sys_stats['cpu_percent'], self.sys_memory_gb_start, self.sys_memory_percent_start, sys_stats['memory_gb'], sys_stats['memory_percent'], cmd_display ) else: # 没有进程级数据，只显示系统级 perf_logger.info( "📊 命令结束 - %s %s, 耗时: %.2fs%s, " "系统: CPU %.1f%%→%.1f%%, 内存 %.1fGB(%.1f%%)→%.1fGB(%.1f%%), " "命令: %s", self.tool_name, status, duration, f", 超时配置: {timeout}s" if timeout else "", self.sys_cpu_start, sys_stats['cpu_percent'], self.sys_memory_gb_start, self.sys_memory_percent_start, sys_stats['memory_gb'], sys_stats['memory_percent'], cmd_display ) ================================================ FILE: backend/apps/scan/utils/system_load.py ================================================ """ 系统负载检查工具 提供统一的系统负载检查功能，用于： - Flow 入口处检查系统资源是否充足 - 防止在高负载时启动新的扫描任务 """ import logging import time import psutil from django.conf import settings logger = logging.getLogger(__name__) # 动态并发控制阈值（可在 Django settings 中覆盖） SCAN_CPU_HIGH: float = getattr(settings, 'SCAN_CPU_HIGH', 90.0) SCAN_MEM_HIGH: float = getattr(settings, 'SCAN_MEM_HIGH', 80.0) SCAN_LOAD_CHECK_INTERVAL: int = getattr(settings, 'SCAN_LOAD_CHECK_INTERVAL', 180) def _get_current_load() -> tuple[float, float]: """获取当前 CPU 和内存使用率""" return psutil.cpu_percent(interval=0.5), psutil.virtual_memory().percent def wait_for_system_load( cpu_threshold: float = SCAN_CPU_HIGH, mem_threshold: float = SCAN_MEM_HIGH, check_interval: int = SCAN_LOAD_CHECK_INTERVAL, context: str = "task" ) -> None: """ 等待系统负载降到阈值以下 在高负载时阻塞等待，直到 CPU 和内存都低于阈值。 用于 Flow 入口处，防止在资源紧张时启动新任务。 """ while True: cpu, mem = _get_current_load() if cpu < cpu_threshold and mem < mem_threshold: logger.debug( "[%s] 系统负载正常: cpu=%.1f%%, mem=%.1f%%", context, cpu, mem ) return logger.info( "[%s] 系统负载较高，等待资源释放: " "cpu=%.1f%% (阈值 %.1f%%), mem=%.1f%% (阈值 %.1f%%)", context, cpu, cpu_threshold, mem, mem_threshold ) time.sleep(check_interval) def check_system_load( cpu_threshold: float = SCAN_CPU_HIGH, mem_threshold: float = SCAN_MEM_HIGH ) -> dict: """ 检查当前系统负载（非阻塞） Returns: dict: cpu_percent, mem_percent, cpu_threshold, mem_threshold, is_overloaded """ cpu, mem = _get_current_load() return { 'cpu_percent': cpu, 'mem_percent': mem, 'cpu_threshold': cpu_threshold, 'mem_threshold': mem_threshold, 'is_overloaded': cpu >= cpu_threshold or mem >= mem_threshold, } ================================================ FILE: backend/apps/scan/utils/user_logger.py ================================================ """ 扫描日志记录器 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。 特性： - 简单的函数式 API - 只写入数据库（ScanLog 表），不写 Python logging - 错误容忍（数据库失败不影响扫描执行） 职责分离： - user_log: 用户可见日志（写数据库，前端展示） - logger: 开发者日志（写日志文件/控制台，调试用） 使用示例： from apps.scan.utils import user_log # 用户日志（写数据库） user_log(scan_id, "port_scan", "Starting port scan") user_log(scan_id, "port_scan", "naabu completed: found 120 ports") # 开发者日志（写日志文件） logger.info("✓ 工具 %s 执行完成 - 记录数: %d", tool_name, count) """ import logging from django.db import DatabaseError logger = logging.getLogger(__name__) def user_log(scan_id: int, stage: str, message: str, level: str = "info"): """ 记录用户可见的扫描日志（只写数据库） Args: scan_id: 扫描任务 ID stage: 阶段名称，如 "port_scan", "site_scan" message: 日志消息 level: 日志级别，默认 "info"，可选 "warning", "error" 数据库 content 格式: "[{stage}] {message}" """ formatted = f"[{stage}] {message}" try: from apps.scan.models import ScanLog ScanLog.objects.create( scan_id=scan_id, level=level, content=formatted ) except DatabaseError as e: logger.error("ScanLog write failed - scan_id=%s, error=%s", scan_id, e) except Exception as e: logger.error("ScanLog write unexpected error - scan_id=%s, error=%s", scan_id, e) ================================================ FILE: backend/apps/scan/utils/wordlist_helpers.py ================================================ """字典文件本地缓存与校验工具 提供 worker 侧的字典文件下载和 hash 校验功能，用于： - 目录扫描 (directory_scan_flow) - 子域名爆破 (subdomain_discovery_flow) """ import logging import os import ssl from pathlib import Path from urllib import request as urllib_request from urllib import parse as urllib_parse from django.conf import settings from apps.common.utils import is_file_hash_match from apps.engine.services import WordlistService logger = logging.getLogger(__name__) def ensure_wordlist_local(wordlist_name: str) -> str: """确保本地存在指定字典文件，并返回本地路径 流程： 1. 从 DB 查询 Wordlist 记录 2. 计算本地缓存路径 3. 如果本地文件存在且 hash 匹配，直接返回路径 4. 否则从后端 API 下载最新文件 Args: wordlist_name: 字典名称（对应 Wordlist.name） Returns: str: 本地字典文件绝对路径 Raises: ValueError: 字典不存在或参数无效 RuntimeError: 下载失败 """ if not wordlist_name: raise ValueError("wordlist_name 不能为空") service = WordlistService() wordlist = service.get_wordlist_by_name(wordlist_name) if not wordlist: raise ValueError(f"未找到名称为 '{wordlist_name}' 的字典，请在「字典管理」中先创建") # 计算本地缓存路径 backend_path = Path(wordlist.file_path) base_dir = getattr(settings, 'WORDLISTS_BASE_PATH', '/opt/xingrin/wordlists') storage_dir = Path(base_dir) storage_dir.mkdir(parents=True, exist_ok=True) local_path = storage_dir / backend_path.name # 获取期望的 hash（可能为空，表示老数据） expected_hash = getattr(wordlist, 'file_hash', '') or '' # 如果本地文件存在，进行 hash 校验 if local_path.exists(): if expected_hash: # 有 hash，进行校验 if is_file_hash_match(str(local_path), expected_hash): logger.info("本地字典文件有效（hash 匹配）: %s", local_path) return str(local_path) else: logger.info("本地字典文件 hash 不匹配，将重新下载: %s", local_path) else: # 无 hash（老数据），保持旧逻辑：直接复用 logger.info("本地已存在字典文件（无 hash 校验）: %s", local_path) return str(local_path) # 从后端下载字典 # 优先使用 SERVER_URL 环境变量（动态容器中传递），否则使用 settings 配置 server_url = os.getenv('SERVER_URL', '').strip() if server_url: api_base = f"{server_url.rstrip('/')}/api" else: public_host = getattr(settings, 'PUBLIC_HOST', '').strip() if not public_host: raise RuntimeError( "无法确定 Django API 地址：请配置 SERVER_URL 或 PUBLIC_HOST 环境变量" ) # 远程 Worker 通过 nginx HTTPS 访问，不再直连 8888 public_port = getattr(settings, 'PUBLIC_PORT', '8083') api_base = f"https://{public_host}:{public_port}/api" query = urllib_parse.urlencode({'wordlist': wordlist_name}) download_url = f"{api_base.rstrip('/')}/wordlists/download/?{query}" logger.info("从后端下载字典: %s -> %s", download_url, local_path) try: # 创建不验证 SSL 的上下文（远程 Worker 可能使用自签名证书） ssl_context = ssl.create_default_context() ssl_context.check_hostname = False ssl_context.verify_mode = ssl.CERT_NONE # 创建带 API Key 的请求 req = urllib_request.Request(download_url) worker_api_key = os.getenv('WORKER_API_KEY', '') if worker_api_key: req.add_header('X-Worker-API-Key', worker_api_key) with urllib_request.urlopen(req, context=ssl_context) as resp: if resp.status != 200: raise RuntimeError(f"下载字典失败，HTTP {resp.status}") data = resp.read() except Exception as exc: logger.error("下载字典失败: %s", exc) raise RuntimeError(f"下载字典失败: {exc}") from exc with open(local_path, 'wb') as f: f.write(data) logger.info("字典下载完成并保存到: %s", local_path) return str(local_path) __all__ = ["ensure_wordlist_local"] ================================================ FILE: backend/apps/scan/utils/workspace_utils.py ================================================ """ 工作空间工具模块 提供统一的扫描工作目录创建和验证功能 """ from pathlib import Path import logging logger = logging.getLogger(__name__) def setup_scan_workspace(scan_workspace_dir: str) -> Path: """ 创建 Scan 根工作空间目录 Args: scan_workspace_dir: 工作空间目录路径 Returns: Path: 创建的目录路径 Raises: RuntimeError: 目录创建失败或不可写 """ workspace_path = Path(scan_workspace_dir) try: workspace_path.mkdir(parents=True, exist_ok=True) except OSError as e: raise RuntimeError(f"创建工作空间失败: {scan_workspace_dir} - {e}") from e # 验证可写 _verify_writable(workspace_path) logger.info("✓ Scan 工作空间已创建: %s", workspace_path) return workspace_path def setup_scan_directory(scan_workspace_dir: str, subdir: str) -> Path: """ 创建扫描子目录 Args: scan_workspace_dir: 根工作空间目录 subdir: 子目录名称（如 'fingerprint_detect', 'site_scan'） Returns: Path: 创建的子目录路径 Raises: RuntimeError: 目录创建失败或不可写 """ scan_dir = Path(scan_workspace_dir) / subdir try: scan_dir.mkdir(parents=True, exist_ok=True) except OSError as e: raise RuntimeError(f"创建扫描目录失败: {scan_dir} - {e}") from e # 验证可写 _verify_writable(scan_dir) logger.info("✓ 扫描目录已创建: %s", scan_dir) return scan_dir def _verify_writable(path: Path) -> None: """ 验证目录可写 Args: path: 目录路径 Raises: RuntimeError: 目录不可写 """ test_file = path / ".test_write" try: test_file.touch() test_file.unlink() except OSError as e: raise RuntimeError(f"目录不可写: {path} - {e}") from e ================================================ FILE: backend/apps/scan/views/__init__.py ================================================ """Scan Views - 统一导出""" from .scan_views import ScanViewSet from .scheduled_scan_views import ScheduledScanViewSet from .scan_log_views import ScanLogListView from .subfinder_provider_settings_views import SubfinderProviderSettingsView __all__ = [ 'ScanViewSet', 'ScheduledScanViewSet', 'ScanLogListView', 'SubfinderProviderSettingsView', ] ================================================ FILE: backend/apps/scan/views/scan_log_views.py ================================================ """ 扫描日志 API 提供扫描日志查询接口，支持游标分页用于增量轮询。 """ from rest_framework.views import APIView from rest_framework.response import Response from apps.scan.models import ScanLog from apps.scan.serializers import ScanLogSerializer class ScanLogListView(APIView): """ GET /scans/{scan_id}/logs/ 游标分页 API，用于增量查询日志 查询参数： - 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） - limit: 返回数量限制（默认 200，最大 1000） 返回： - results: 日志列表 - hasMore: 是否还有更多日志 """ def get(self, request, scan_id: int): # 参数解析 after_id = request.query_params.get('afterId') try: limit = min(int(request.query_params.get('limit', 200)), 1000) except (ValueError, TypeError): limit = 200 # 查询日志（按 ID 排序，ID 是自增的，保证顺序一致） queryset = ScanLog.objects.filter(scan_id=scan_id).order_by('id') # 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） if after_id: try: queryset = queryset.filter(id__gt=int(after_id)) except (ValueError, TypeError): pass # 限制返回数量（多取一条用于判断 hasMore） logs = list(queryset[:limit + 1]) has_more = len(logs) > limit if has_more: logs = logs[:limit] return Response({ 'results': ScanLogSerializer(logs, many=True).data, 'hasMore': has_more, }) ================================================ FILE: backend/apps/scan/views/scan_views.py ================================================ from rest_framework import viewsets, status from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.exceptions import NotFound, APIException from rest_framework.filters import SearchFilter from django_filters.rest_framework import DjangoFilterBackend from django.core.exceptions import ObjectDoesNotExist, ValidationError from django.db.utils import DatabaseError, IntegrityError, OperationalError import logging from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes from apps.scan.utils.config_merger import ConfigConflictError logger = logging.getLogger(__name__) from ..models import Scan, ScheduledScan from ..serializers import ( ScanSerializer, ScanHistorySerializer, QuickScanSerializer, InitiateScanSerializer, ScheduledScanSerializer, CreateScheduledScanSerializer, UpdateScheduledScanSerializer, ToggleScheduledScanSerializer ) from ..services.scan_service import ScanService from ..services.scheduled_scan_service import ScheduledScanService from ..repositories import ScheduledScanDTO from apps.targets.services.target_service import TargetService from apps.targets.services.organization_service import OrganizationService from apps.engine.services.engine_service import EngineService from apps.common.definitions import ScanStatus from apps.common.pagination import BasePagination class ScanViewSet(viewsets.ModelViewSet): """扫描任务视图集""" serializer_class = ScanSerializer pagination_class = BasePagination filter_backends = [DjangoFilterBackend, SearchFilter] filterset_fields = ['target'] # 支持 ?target=123 过滤 search_fields = ['target__name'] # 按目标名称搜索 def get_queryset(self): """优化查询集，提升API性能 查询优化策略： - select_related: 预加载 target 和 engine（一对一/多对一关系，使用 JOIN） - 移除 prefetch_related: 避免加载大量资产数据到内存 - order_by: 按创建时间降序排列（最新创建的任务排在最前面） 性能优化原理： - 列表页：使用缓存统计字段（cached_*_count），避免实时 COUNT 查询 - 序列化器：严格验证缓存字段，确保数据一致性 - 分页场景：每页只显示10条记录，查询高效 - 避免大数据加载：不再预加载所有关联的资产数据 """ # 只保留必要的 select_related，移除所有 prefetch_related scan_service = ScanService() queryset = scan_service.get_all_scans(prefetch_relations=True) return queryset def get_serializer_class(self): """根据不同的 action 返回不同的序列化器 - list action: 使用 ScanHistorySerializer（包含 summary 和 progress） - retrieve action: 使用 ScanHistorySerializer（包含 summary 和 progress） - 其他 action: 使用标准的 ScanSerializer """ if self.action in ['list', 'retrieve']: return ScanHistorySerializer return ScanSerializer def destroy(self, request, *args, **kwargs): """ 删除单个扫描任务（两阶段删除） 1. 软删除：立即对用户不可见 2. 硬删除：后台异步执行 """ try: scan = self.get_object() scan_service = ScanService() result = scan_service.delete_scans_two_phase([scan.id]) return success_response( data={ 'scanId': scan.id, 'deletedCount': result['soft_deleted_count'], 'deletedScans': result['scan_names'] } ) except Scan.DoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, status_code=status.HTTP_404_NOT_FOUND ) except ValueError as e: return error_response( code=ErrorCodes.NOT_FOUND, message=str(e), status_code=status.HTTP_404_NOT_FOUND ) except Exception as e: logger.exception("删除扫描任务时发生错误") return error_response( code=ErrorCodes.SERVER_ERROR, status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) @action(detail=False, methods=['post']) def quick(self, request): """ 快速扫描接口 功能： 1. 接收目标列表和 YAML 配置 2. 自动解析输入（支持 URL、域名、IP、CIDR） 3. 批量创建 Target、Website、Endpoint 资产 4. 立即发起批量扫描 请求参数： { "targets": [{"name": "example.com"}, {"name": "https://example.com/api"}], "configuration": "subdomain_discovery:\n enabled: true\n ...", "engine_ids": [1, 2], // 可选，用于记录 "engine_names": ["引擎A", "引擎B"] // 可选，用于记录 } 支持的输入格式： - 域名: example.com - IP: 192.168.1.1 - CIDR: 10.0.0.0/8 - URL: https://example.com/api/v1 """ from ..services.quick_scan_service import QuickScanService serializer = QuickScanSerializer(data=request.data) serializer.is_valid(raise_exception=True) targets_data = serializer.validated_data['targets'] configuration = serializer.validated_data['configuration'] engine_ids = serializer.validated_data.get('engine_ids', []) engine_names = serializer.validated_data.get('engine_names', []) try: # 提取输入字符串列表 inputs = [t['name'] for t in targets_data] # 1. 使用 QuickScanService 解析输入并创建资产 quick_scan_service = QuickScanService() result = quick_scan_service.process_quick_scan(inputs, engine_ids[0] if engine_ids else None) targets = result['targets'] if not targets: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='No valid targets for scanning', details=result.get('errors', []), status_code=status.HTTP_400_BAD_REQUEST ) # 2. 直接使用前端传递的配置创建扫描 scan_service = ScanService() created_scans = scan_service.create_scans( targets=targets, engine_ids=engine_ids, engine_names=engine_names, yaml_configuration=configuration ) # 检查是否成功创建扫描任务 if not created_scans: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='No scan tasks were created. All targets may already have active scans.', details={ 'targetStats': result['target_stats'], 'assetStats': result['asset_stats'], 'errors': result.get('errors', []) }, status_code=status.HTTP_422_UNPROCESSABLE_ENTITY ) # 序列化返回结果 scan_serializer = ScanSerializer(created_scans, many=True) return success_response( data={ 'count': len(created_scans), 'targetStats': result['target_stats'], 'assetStats': result['asset_stats'], 'errors': result.get('errors', []), 'scans': scan_serializer.data }, status_code=status.HTTP_201_CREATED ) except ValidationError as e: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(e), status_code=status.HTTP_400_BAD_REQUEST ) except Exception as e: logger.exception("快速扫描启动失败") return error_response( code=ErrorCodes.SERVER_ERROR, status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) @action(detail=False, methods=['post']) def initiate(self, request): """ 发起扫描任务 请求参数: - organization_id: 组织ID (int, 可选) - target_id: 目标ID (int, 可选) - configuration: YAML 配置字符串 (str, 必填) - engine_ids: 扫描引擎ID列表 (list[int], 必填) - engine_names: 引擎名称列表 (list[str], 必填) 注意: organization_id 和 target_id 二选一 返回: - 扫描任务详情（单个或多个） """ # 使用 serializer 验证请求数据 serializer = InitiateScanSerializer(data=request.data) serializer.is_valid(raise_exception=True) # 获取验证后的数据 organization_id = serializer.validated_data.get('organization_id') target_id = serializer.validated_data.get('target_id') configuration = serializer.validated_data['configuration'] engine_ids = serializer.validated_data['engine_ids'] engine_names = serializer.validated_data['engine_names'] try: # 获取目标列表 scan_service = ScanService() if organization_id: from apps.targets.repositories import DjangoOrganizationRepository org_repo = DjangoOrganizationRepository() organization = org_repo.get_by_id(organization_id) if not organization: raise ObjectDoesNotExist(f'Organization ID {organization_id} 不存在') targets = org_repo.get_targets(organization_id) if not targets: raise ValidationError(f'组织 ID {organization_id} 下没有目标') else: from apps.targets.repositories import DjangoTargetRepository target_repo = DjangoTargetRepository() target = target_repo.get_by_id(target_id) if not target: raise ObjectDoesNotExist(f'Target ID {target_id} 不存在') targets = [target] # 直接使用前端传递的配置创建扫描 created_scans = scan_service.create_scans( targets=targets, engine_ids=engine_ids, engine_names=engine_names, yaml_configuration=configuration ) # 检查是否成功创建扫描任务 if not created_scans: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='No scan tasks were created. All targets may already have active scans.', status_code=status.HTTP_422_UNPROCESSABLE_ENTITY ) # 序列化返回结果 scan_serializer = ScanSerializer(created_scans, many=True) return success_response( data={ 'count': len(created_scans), 'scans': scan_serializer.data }, status_code=status.HTTP_201_CREATED ) except ObjectDoesNotExist as e: # 资源不存在错误（由 service 层抛出） return error_response( code=ErrorCodes.NOT_FOUND, message=str(e), status_code=status.HTTP_404_NOT_FOUND ) except ValidationError as e: # 参数验证错误（由 service 层抛出） return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(e), status_code=status.HTTP_400_BAD_REQUEST ) except (DatabaseError, IntegrityError, OperationalError): # 数据库错误 return error_response( code=ErrorCodes.SERVER_ERROR, message='Database error', status_code=status.HTTP_503_SERVICE_UNAVAILABLE ) # 所有快照相关的 action 和 export 已迁移到 asset/views.py 中的快照 ViewSet # GET /api/scans/{id}/subdomains/ -> SubdomainSnapshotViewSet # GET /api/scans/{id}/subdomains/export/ -> SubdomainSnapshotViewSet.export # GET /api/scans/{id}/websites/ -> WebsiteSnapshotViewSet # GET /api/scans/{id}/websites/export/ -> WebsiteSnapshotViewSet.export # GET /api/scans/{id}/directories/ -> DirectorySnapshotViewSet # GET /api/scans/{id}/directories/export/ -> DirectorySnapshotViewSet.export # GET /api/scans/{id}/endpoints/ -> EndpointSnapshotViewSet # GET /api/scans/{id}/endpoints/export/ -> EndpointSnapshotViewSet.export # GET /api/scans/{id}/ip-addresses/ -> HostPortMappingSnapshotViewSet # GET /api/scans/{id}/ip-addresses/export/ -> HostPortMappingSnapshotViewSet.export # GET /api/scans/{id}/vulnerabilities/ -> VulnerabilitySnapshotViewSet @action(detail=False, methods=['post', 'delete'], url_path='bulk-delete') def bulk_delete(self, request): """ 批量删除扫描记录 请求参数: - ids: 扫描ID列表 (list[int], 必填) 示例请求: POST /api/scans/bulk-delete/ { "ids": [1, 2, 3] } 返回: - message: 成功消息 - deletedCount: 实际删除的记录数 注意: - 使用级联删除，会同时删除关联的子域名、端点等数据 - 只删除存在的记录，不存在的ID会被忽略 """ ids = request.data.get('ids', []) # 参数验证 if not ids: return error_response( code=ErrorCodes.VALIDATION_ERROR, message='Missing required parameter: ids', status_code=status.HTTP_400_BAD_REQUEST ) if not isinstance(ids, list): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='ids must be an array', status_code=status.HTTP_400_BAD_REQUEST ) if not all(isinstance(i, int) for i in ids): return error_response( code=ErrorCodes.VALIDATION_ERROR, message='All elements in ids array must be integers', status_code=status.HTTP_400_BAD_REQUEST ) try: # 使用 Service 层批量删除（两阶段删除） scan_service = ScanService() result = scan_service.delete_scans_two_phase(ids) return success_response( data={ 'deletedCount': result['soft_deleted_count'], 'deletedScans': result['scan_names'] } ) except ValueError as e: # 未找到记录 return error_response( code=ErrorCodes.NOT_FOUND, message=str(e), status_code=status.HTTP_404_NOT_FOUND ) except Exception as e: logger.exception("批量删除扫描任务时发生错误") return error_response( code=ErrorCodes.SERVER_ERROR, status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) @action(detail=False, methods=['get']) def statistics(self, request): """ 获取扫描统计数据 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。 使用缓存字段聚合查询，性能优异。 返回: - total: 总扫描次数 - running: 运行中的扫描数量 - completed: 已完成的扫描数量 - failed: 失败的扫描数量 - totalVulns: 总共发现的漏洞数量 - totalSubdomains: 总共发现的子域名数量 - totalEndpoints: 总共发现的端点数量 - totalAssets: 总资产数 """ try: # 使用 Service 层获取统计数据 scan_service = ScanService() stats = scan_service.get_statistics() return success_response( data={ 'total': stats['total'], 'running': stats['running'], 'completed': stats['completed'], 'failed': stats['failed'], 'totalVulns': stats['total_vulns'], 'totalSubdomains': stats['total_subdomains'], 'totalEndpoints': stats['total_endpoints'], 'totalWebsites': stats['total_websites'], 'totalAssets': stats['total_assets'], } ) except (DatabaseError, OperationalError): return error_response( code=ErrorCodes.SERVER_ERROR, message='Database error', status_code=status.HTTP_503_SERVICE_UNAVAILABLE ) @action(detail=True, methods=['post']) def stop(self, request, pk=None): # pylint: disable=unused-argument """ 停止扫描任务 URL: POST /api/scans/{id}/stop/ 功能: - 终止正在运行或初始化的扫描任务 - 更新扫描状态为 CANCELLED 状态限制: - 只能停止 RUNNING 或 INITIATED 状态的扫描 - 已完成、失败或取消的扫描无法停止 返回: - message: 成功消息 - revokedTaskCount: 取消的 Flow Run 数量 """ try: # 使用 Service 层处理停止逻辑 scan_service = ScanService() success, revoked_count = scan_service.stop_scan(scan_id=pk) if not success: # 检查是否是状态不允许的问题 scan = scan_service.get_scan(scan_id=pk, prefetch_relations=False) if scan and scan.status not in [ScanStatus.RUNNING, ScanStatus.INITIATED]: return error_response( code=ErrorCodes.BAD_REQUEST, message=f'Cannot stop scan: current status is {ScanStatus(scan.status).label}', status_code=status.HTTP_400_BAD_REQUEST ) # 其他失败原因 return error_response( code=ErrorCodes.SERVER_ERROR, status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) return success_response( data={'revokedTaskCount': revoked_count} ) except ObjectDoesNotExist: return error_response( code=ErrorCodes.NOT_FOUND, message=f'Scan ID {pk} not found', status_code=status.HTTP_404_NOT_FOUND ) except (DatabaseError, IntegrityError, OperationalError): return error_response( code=ErrorCodes.SERVER_ERROR, message='Database error', status_code=status.HTTP_503_SERVICE_UNAVAILABLE ) ================================================ FILE: backend/apps/scan/views/scheduled_scan_views.py ================================================ """ 定时扫描任务视图集 独立文件，避免 views.py 文件过大 """ from rest_framework import viewsets, status from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.filters import SearchFilter from django.core.exceptions import ValidationError import logging from ..models import ScheduledScan from ..serializers import ( ScheduledScanSerializer, CreateScheduledScanSerializer, UpdateScheduledScanSerializer, ToggleScheduledScanSerializer ) from ..services.scheduled_scan_service import ScheduledScanService from ..repositories import ScheduledScanDTO from ..utils.config_merger import ConfigConflictError from apps.common.pagination import BasePagination from apps.common.response_helpers import success_response, error_response from apps.common.error_codes import ErrorCodes logger = logging.getLogger(__name__) class ScheduledScanViewSet(viewsets.ModelViewSet): """ 定时扫描任务视图集 API 端点： - GET /scheduled-scans/ 获取定时扫描列表 - POST /scheduled-scans/ 创建定时扫描 - GET /scheduled-scans/{id}/ 获取定时扫描详情 - PUT /scheduled-scans/{id}/ 更新定时扫描 - DELETE /scheduled-scans/{id}/ 删除定时扫描 - POST /scheduled-scans/{id}/toggle/ 切换启用状态 查询参数： - target_id: 按目标 ID 过滤 - organization_id: 按组织 ID 过滤 - search: 按名称搜索 """ queryset = ScheduledScan.objects.all().order_by('-created_at') serializer_class = ScheduledScanSerializer pagination_class = BasePagination filter_backends = [SearchFilter] search_fields = ['name'] def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.service = ScheduledScanService() def get_queryset(self): """支持按 target_id 和 organization_id 过滤""" queryset = super().get_queryset() target_id = self.request.query_params.get('target_id') organization_id = self.request.query_params.get('organization_id') if target_id: queryset = queryset.filter(target_id=target_id) if organization_id: queryset = queryset.filter(organization_id=organization_id) return queryset def get_serializer_class(self): """根据 action 返回不同的序列化器""" if self.action == 'create': return CreateScheduledScanSerializer elif self.action in ['update', 'partial_update']: return UpdateScheduledScanSerializer elif self.action == 'toggle': return ToggleScheduledScanSerializer return ScheduledScanSerializer def create(self, request, *args, **kwargs): """创建定时扫描任务""" serializer = self.get_serializer(data=request.data) serializer.is_valid(raise_exception=True) try: data = serializer.validated_data dto = ScheduledScanDTO( name=data['name'], engine_ids=data.get('engine_ids', []), engine_names=data.get('engine_names', []), yaml_configuration=data['configuration'], organization_id=data.get('organization_id'), target_id=data.get('target_id'), cron_expression=data.get('cron_expression', '0 2 * * *'), is_enabled=data.get('is_enabled', True), ) scheduled_scan = self.service.create_with_configuration(dto) response_serializer = ScheduledScanSerializer(scheduled_scan) return success_response( data=response_serializer.data, status_code=status.HTTP_201_CREATED ) except ValidationError as e: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(e), status_code=status.HTTP_400_BAD_REQUEST ) def update(self, request, *args, **kwargs): """更新定时扫描任务""" instance = self.get_object() serializer = self.get_serializer(data=request.data) serializer.is_valid(raise_exception=True) try: data = serializer.validated_data dto = ScheduledScanDTO( name=data.get('name'), engine_ids=data.get('engine_ids'), organization_id=data.get('organization_id'), target_id=data.get('target_id'), cron_expression=data.get('cron_expression'), is_enabled=data.get('is_enabled'), ) scheduled_scan = self.service.update(instance.id, dto) response_serializer = ScheduledScanSerializer(scheduled_scan) return success_response(data=response_serializer.data) except ConfigConflictError as e: return error_response( code='CONFIG_CONFLICT', message=str(e), details=[ {'key': k, 'engines': [e1, e2]} for k, e1, e2 in e.conflicts ], status_code=status.HTTP_400_BAD_REQUEST ) except ValidationError as e: return error_response( code=ErrorCodes.VALIDATION_ERROR, message=str(e), status_code=status.HTTP_400_BAD_REQUEST ) def destroy(self, request, *args, **kwargs): """删除定时扫描任务""" instance = self.get_object() scan_id = instance.id name = instance.name if self.service.delete(scan_id): return success_response(data={'id': scan_id, 'name': name}) return error_response( code=ErrorCodes.SERVER_ERROR, message='Failed to delete scheduled scan', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR ) @action(detail=True, methods=['post']) def toggle(self, request, pk=None): """切换定时扫描任务的启用状态""" serializer = ToggleScheduledScanSerializer(data=request.data) serializer.is_valid(raise_exception=True) is_enabled = serializer.validated_data['is_enabled'] if self.service.toggle_enabled(int(pk), is_enabled): scheduled_scan = self.get_object() response_serializer = ScheduledScanSerializer(scheduled_scan) return success_response(data=response_serializer.data) return error_response( code=ErrorCodes.NOT_FOUND, message=f'Scheduled scan with ID {pk} not found or operation failed', status_code=status.HTTP_404_NOT_FOUND ) ================================================ FILE: backend/apps/scan/views/subfinder_provider_settings_views.py ================================================ """Subfinder Provider 配置视图""" import logging from rest_framework import status from rest_framework.views import APIView from rest_framework.response import Response from ..models import SubfinderProviderSettings from ..serializers import SubfinderProviderSettingsSerializer logger = logging.getLogger(__name__) class SubfinderProviderSettingsView(APIView): """Subfinder Provider 配置视图 GET /api/settings/api-keys/ - 获取配置 PUT /api/settings/api-keys/ - 更新配置 """ def get(self, request): """获取 Subfinder Provider 配置""" settings = SubfinderProviderSettings.get_instance() serializer = SubfinderProviderSettingsSerializer(settings.providers) return Response(serializer.data) def put(self, request): """更新 Subfinder Provider 配置""" serializer = SubfinderProviderSettingsSerializer(data=request.data) serializer.is_valid(raise_exception=True) settings = SubfinderProviderSettings.get_instance() settings.providers.update(serializer.validated_data) settings.save() logger.info("Subfinder Provider 配置已更新") return Response(SubfinderProviderSettingsSerializer(settings.providers).data) ================================================ FILE: backend/apps/targets/__init__.py ================================================ ================================================ FILE: backend/apps/targets/apps.py ================================================ from django.apps import AppConfig class TargetsConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'apps.targets' verbose_name = '扫描目标管理' ================================================ FILE: backend/apps/targets/migrations/0001_initial.py ================================================ # Generated by Django 5.2.7 on 2026-01-06 00:55 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Target', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(blank=True, default='', help_text='目标标识（域名/IP/CIDR）', max_length=300)), ('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)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('last_scanned_at', models.DateTimeField(blank=True, help_text='最后扫描时间', null=True)), ('deleted_at', models.DateTimeField(blank=True, db_index=True, help_text='删除时间（NULL表示未删除）', null=True)), ], options={ 'verbose_name': '扫描目标', 'verbose_name_plural': '扫描目标', 'db_table': 'target', 'ordering': ['-created_at'], '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')], 'constraints': [models.UniqueConstraint(condition=models.Q(('deleted_at__isnull', True)), fields=('name',), name='unique_target_name_active')], }, ), migrations.CreateModel( name='Organization', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(blank=True, default='', help_text='组织名称', max_length=300)), ('description', models.CharField(blank=True, default='', help_text='组织描述', max_length=1000)), ('created_at', models.DateTimeField(auto_now_add=True, help_text='创建时间')), ('deleted_at', models.DateTimeField(blank=True, db_index=True, help_text='删除时间（NULL表示未删除）', null=True)), ('targets', models.ManyToManyField(blank=True, help_text='所属目标列表', related_name='organizations', to='targets.target')), ], options={ 'verbose_name': '组织', 'verbose_name_plural': '组织', 'db_table': 'organization', 'ordering': ['-created_at'], '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')], 'constraints': [models.UniqueConstraint(condition=models.Q(('deleted_at__isnull', True)), fields=('name',), name='unique_organization_name_active')], }, ), ] ================================================ FILE: backend/apps/targets/migrations/__init__.py ================================================ ================================================ FILE: backend/apps/targets/models.py ================================================ from django.db import models from django.utils import timezone class SoftDeleteManager(models.Manager): """软删除管理器：默认只返回未删除的记录""" def get_queryset(self): return super().get_queryset().filter(deleted_at__isnull=True) class Organization(models.Model): """组织模型""" id = models.AutoField(primary_key=True) name = models.CharField(max_length=300, blank=True, default='', help_text='组织名称') description = models.CharField(max_length=1000, blank=True, default='', help_text='组织描述') created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') # ==================== 软删除字段 ==================== deleted_at = models.DateTimeField(null=True, blank=True, db_index=True, help_text='删除时间（NULL表示未删除）') targets = models.ManyToManyField( 'Target', related_name='organizations', blank=True, help_text='所属目标列表' ) # ==================== 管理器 ==================== objects = SoftDeleteManager() # 默认管理器：只返回未删除的记录 all_objects = models.Manager() # 全量管理器：包括已删除的记录（用于硬删除） class Meta: db_table = 'organization' verbose_name = '组织' verbose_name_plural = '组织' ordering = ['-created_at'] # 部分唯一约束：只对未删除记录生效 constraints = [ models.UniqueConstraint( fields=['name'], condition=models.Q(deleted_at__isnull=True), name='unique_organization_name_active' ), ] indexes = [ models.Index(fields=['-created_at']), models.Index(fields=['deleted_at', '-created_at']), # 软删除 + 时间索引 models.Index(fields=['name']), # 优化 name 搜索 ] def __str__(self): return str(self.name or f'Organization {self.id}') class Target(models.Model): """扫描目标模型 核心模型，存储要扫描的目标信息。 支持多种类型：域名、IP地址、CIDR范围等。 """ # ==================== 类型定义 ==================== class TargetType(models.TextChoices): DOMAIN = 'domain', '域名' IP = 'ip', 'IP地址' CIDR = 'cidr', 'CIDR范围' # ==================== 基本字段 ==================== id = models.AutoField(primary_key=True) name = models.CharField(max_length=300, blank=True, default='', help_text='目标标识（域名/IP/CIDR）') type = models.CharField( max_length=20, choices=TargetType.choices, default=TargetType.DOMAIN, db_index=True, help_text='目标类型' ) # ==================== 时间戳 ==================== created_at = models.DateTimeField(auto_now_add=True, help_text='创建时间') last_scanned_at = models.DateTimeField(null=True, blank=True, help_text='最后扫描时间') # ==================== 软删除字段 ==================== deleted_at = models.DateTimeField(null=True, blank=True, db_index=True, help_text='删除时间（NULL表示未删除）') # ==================== 管理器 ==================== objects = SoftDeleteManager() # 默认管理器：只返回未删除的记录 all_objects = models.Manager() # 全量管理器：包括已删除的记录（用于硬删除） class Meta: db_table = 'target' verbose_name = '扫描目标' verbose_name_plural = '扫描目标' ordering = ['-created_at'] # 部分唯一约束：只对未删除记录生效 constraints = [ models.UniqueConstraint( fields=['name'], condition=models.Q(deleted_at__isnull=True), name='unique_target_name_active' ), ] indexes = [ models.Index(fields=['type']), models.Index(fields=['-created_at']), models.Index(fields=['deleted_at', '-created_at']), # 软删除 + 时间索引 models.Index(fields=['deleted_at', 'type']), # 软删除 + 类型索引 models.Index(fields=['name']), # 优化 name 搜索 ] def __str__(self): return str(self.name or f'Target {self.id}') ================================================ FILE: backend/apps/targets/repositories/__init__.py ================================================ """ Target Repositories 模块 提供 Target 和 Organization 数据访问层 """ from .django_target_repository import DjangoTargetRepository from .django_organization_repository import DjangoOrganizationRepository __all__ = [ 'DjangoTargetRepository', 'DjangoOrganizationRepository', ] ================================================ FILE: backend/apps/targets/repositories/django_organization_repository.py ================================================ """ Organization Django ORM 仓储实现 使用 Django ORM 实现组织数据访问 """ import logging from typing import List, Tuple, Dict from django.db.models import Count from django.utils import timezone from ..models import Organization, Target from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoOrganizationRepository: """Organization Django ORM 仓储实现""" def bulk_add_targets(self, organization_id: int, targets: List[Target]) -> None: """ 批量添加目标到组织 注意：会自动按 (organization_id, target_id) 去重，保留最后一条记录。 Args: organization_id: 组织 ID targets: Target 对象列表 """ if not targets: return # 使用 through model 批量插入，避免 N 次 add() ThroughModel = Organization.targets.through # 按 target_id 去重，避免批次内重复 seen = {} for t in targets: seen[t.id] = t unique_targets = list(seen.values()) if len(unique_targets) < len(targets): logger.debug(f"Organization-Target 关联去重: {len(targets)} -> {len(unique_targets)} 条") relations = [ ThroughModel(organization_id=organization_id, target_id=t.id) for t in unique_targets ] # 根据 through model 唯一约束自动去重 unique_relations = deduplicate_for_bulk(relations, ThroughModel) try: # 使用 ignore_conflicts 忽略已存在的关联 ThroughModel.objects.bulk_create(unique_relations, ignore_conflicts=True) except Exception as e: logger.error(f"批量关联目标失败: {e}") raise def get_by_id(self, organization_id: int) -> Organization | None: """ 根据 ID 获取组织 Args: organization_id: 组织 ID Returns: Organization 对象或 None """ try: return Organization.objects.get(id=organization_id) except Organization.DoesNotExist: logger.warning("组织不存在 - Organization ID: %s", organization_id) return None def get_names_by_ids(self, organization_ids: List[int]) -> List[Tuple[int, str]]: """ 根据 ID 列表获取组织的 ID 和名称 Args: organization_ids: 组织 ID 列表 Returns: [(id, name), ...] 元组列表 """ return list( Organization.objects .filter(id__in=organization_ids) .values_list('id', 'name') ) def soft_delete_by_ids(self, organization_ids: List[int]) -> int: """ 根据 ID 列表批量软删除组织 Args: organization_ids: 组织 ID 列表 Returns: 软删除的记录数 Note: - 使用软删除：只标记为已删除，不真正删除数据库记录 - 保留所有关联数据，可恢复 - 不会影响关联的目标（多对多关系保持不变） """ try: updated_count = ( Organization.objects .filter(id__in=organization_ids) .update(deleted_at=timezone.now()) ) logger.debug( "批量软删除组织成功 - Count: %s, 更新记录: %s", len(organization_ids), updated_count ) return updated_count except Exception as e: logger.error( "批量软删除组织失败 - IDs: %s, 错误: %s", organization_ids, e ) raise def get_targets(self, organization_id: int) -> List[Target]: """ 获取组织下的所有目标 Args: organization_id: 组织 ID Returns: Target 对象列表 """ organization = self.get_by_id(organization_id) if not organization: return [] return list(organization.targets.all()) def get_all(self): """ 获取所有组织 Returns: QuerySet: 组织查询集 """ return Organization.objects.all() def get_all_with_stats(self): """ 获取所有组织并预计算目标数量 Returns: QuerySet: 带统计信息的组织查询集 """ return ( Organization.objects .annotate(target_count=Count('targets')) .order_by('-created_at') ) def get_by_ids(self, organization_ids: List[int]) -> List[Organization]: """ 根据 ID 列表获取组织（只返回未删除的） Args: organization_ids: 组织 ID 列表 Returns: Organization 对象列表 """ return list(Organization.objects.filter(id__in=organization_ids)) def hard_delete_by_ids(self, organization_ids: List[int]) -> Tuple[int, Dict[str, int]]: """ 根据 ID 列表硬删除组织（真正删除数据） Args: organization_ids: 组织 ID 列表 Returns: (删除的记录数, 删除详情字典) Note: - 硬删除：从数据库中永久删除 - 使用 Django CASCADE 自动删除中间表 organization_targets 的关联记录 - 不会删除关联的 Target（多对多关系） - ⚠️ 不可恢复 - @auto_ensure_db_connection 自动重试数据库连接失败 """ try: # 使用 all_objects 管理器，可以删除已软删除的记录 deleted_count, deleted_details = ( Organization.all_objects .filter(id__in=organization_ids) .delete() ) logger.debug( "硬删除组织成功 - Count: %s, 删除记录数: %s, 详情: %s", len(organization_ids), deleted_count, deleted_details ) return deleted_count, deleted_details except Exception as e: logger.error( "硬删除组织失败 - IDs: %s, 错误: %s", organization_ids, e ) raise ================================================ FILE: backend/apps/targets/repositories/django_target_repository.py ================================================ """ Target Django ORM 仓储实现 使用 Django ORM 实现目标数据访问 """ import logging from typing import List, Tuple, Dict from django.db import transaction, IntegrityError, OperationalError, DatabaseError from django.utils import timezone from ..models import Target from apps.common.decorators import auto_ensure_db_connection from apps.common.utils import deduplicate_for_bulk logger = logging.getLogger(__name__) @auto_ensure_db_connection class DjangoTargetRepository: """Target Django ORM 仓储实现""" def count_by_ids(self, target_ids: List[int]) -> int: """ 统计给定 ID 列表中存在的目标数量 Args: target_ids: 目标 ID 列表 Returns: 存在的目标数量 """ if not target_ids: return 0 return Target.objects.filter(id__in=target_ids).count() def get_by_ids(self, target_ids: List[int]) -> List[Target]: """ 根据 ID 列表批量获取目标 Args: target_ids: 目标 ID 列表 Returns: Target 对象列表 """ if not target_ids: return [] return list(Target.objects.filter(id__in=target_ids)) def bulk_create_ignore_conflicts(self, targets: List[Target]) -> None: """ 批量创建目标，忽略冲突 注意：会自动按 name 去重，保留最后一条记录。 Args: targets: Target 对象列表 """ if not targets: return try: # 根据模型唯一约束自动去重 unique_targets = deduplicate_for_bulk(targets, Target) Target.objects.bulk_create(unique_targets, ignore_conflicts=True) except Exception as e: logger.error(f"批量创建目标失败: {e}") raise def get_by_names(self, names: List[str]) -> List[Target]: """ 根据名称列表批量获取目标 Args: names: 目标名称列表 Returns: Target 对象列表 """ if not names: return [] return list(Target.objects.filter(name__in=names)) def get_by_id(self, target_id: int) -> Target | None: """ 根据 ID 获取目标 Args: target_id: 目标 ID Returns: Target 对象或 None """ try: return Target.objects.get(id=target_id) except Target.DoesNotExist: logger.warning("目标不存在 - Target ID: %s", target_id) return None def get_names_by_ids(self, target_ids: List[int]) -> List[Tuple[int, str]]: """ 根据 ID 列表获取目标的 ID 和名称 Args: target_ids: 目标 ID 列表 Returns: [(id, name), ...] 元组列表 """ return list( Target.objects .filter(id__in=target_ids) .values_list('id', 'name') ) def soft_delete_by_ids(self, target_ids: List[int]) -> int: """ 根据 ID 列表批量软删除目标 Args: target_ids: 目标 ID 列表 Returns: 软删除的记录数 Note: - 使用软删除：只标记为已删除，不真正删除数据库记录 - 保留所有关联数据，可恢复 """ try: updated_count = ( Target.objects .filter(id__in=target_ids) .update(deleted_at=timezone.now()) ) logger.debug( "批量软删除目标成功 - Count: %s, 更新记录: %s", len(target_ids), updated_count ) return updated_count except Exception as e: logger.error( "批量软删除目标失败 - IDs: %s, 错误: %s", target_ids, e ) raise def get_all(self): """ 获取所有目标 Returns: QuerySet: 目标查询集 """ return Target.objects.prefetch_related('organizations').all() def get_or_create(self, name: str, target_type: str): """ 获取或创建目标 Args: name: 目标名称 target_type: 目标类型 Returns: (Target对象, 是否新创建的布尔值) """ return Target.objects.get_or_create( name=name, defaults={'type': target_type} ) def hard_delete_by_ids(self, target_ids: List[int]) -> Tuple[int, Dict[str, int]]: """ 根据 ID 列表硬删除目标（使用数据库级 CASCADE） Args: target_ids: 目标 ID 列表 Returns: (删除的记录数, 删除详情字典) Strategy: 使用数据库级 CASCADE 删除，性能最优 Note: - 硬删除：从数据库中永久删除 - 数据库自动处理所有外键级联删除 - 不触发 Django 信号（pre_delete/post_delete） """ try: batch_size = 1000 # 每批处理1000个目标 total_deleted = 0 logger.debug(f"开始批量删除 {len(target_ids)} 个目标（数据库 CASCADE）...") # 分批处理目标ID，避免单次删除过多 for i in range(0, len(target_ids), batch_size): batch_ids = target_ids[i:i + batch_size] # 直接删除目标，数据库自动级联删除所有关联数据 count, _ = Target.all_objects.filter(id__in=batch_ids).delete() total_deleted += count logger.debug(f"批次删除完成: {len(batch_ids)} 个目标，删除 {count} 条记录") # 由于使用数据库 CASCADE，无法获取详细统计 deleted_details = { 'targets': len(target_ids), 'total': total_deleted, 'note': 'Database CASCADE - detailed stats unavailable' } logger.debug( "批量硬删除成功（CASCADE）- 目标数: %s, 总删除记录: %s", len(target_ids), total_deleted ) return total_deleted, deleted_details except Exception as e: logger.error( "批量硬删除失败（CASCADE）- 目标数: %s, 错误: %s", len(target_ids), str(e), exc_info=True ) raise def update_last_scanned_at(self, target_id: int, scanned_at) -> bool: """ 更新目标的最后扫描时间 Args: target_id: 目标 ID scanned_at: 扫描时间 Returns: 是否更新成功 """ try: updated = Target.objects.filter(id=target_id).update(last_scanned_at=scanned_at) return updated > 0 except Exception as e: logger.error("更新最后扫描时间失败 - Target ID: %s, 错误: %s", target_id, e) return False ================================================ FILE: backend/apps/targets/scripts/__init__.py ================================================ ================================================ FILE: backend/apps/targets/scripts/run_delete_organizations.py ================================================ #!/usr/bin/env python """ 组织硬删除脚本 用于动态容器执行，硬删除已软删除的组织及其关联数据。 """ import sys import argparse import json import logging from apps.common.container_bootstrap import fetch_config_and_setup_django logging.basicConfig( level=logging.INFO, format='[%(asctime)s] [%(levelname)s] %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logger = logging.getLogger(__name__) def hard_delete_organizations(organization_ids: list[int]) -> dict: """ 硬删除组织 Args: organization_ids: 组织 ID 列表 Returns: 删除统计信息 """ from apps.targets.services import OrganizationService service = OrganizationService() try: deleted_count, details = service.hard_delete_organizations(organization_ids) logger.info(f"✓ 硬删除完成 - 删除数量: {deleted_count}") logger.info(f" 详情: {details}") return { 'success': True, 'deleted_count': deleted_count, 'details': details, } except Exception as e: logger.error(f"硬删除失败: {e}", exc_info=True) return { 'success': False, 'error': str(e), } def main(): parser = argparse.ArgumentParser(description="硬删除组织") parser.add_argument("--organization_ids", type=str, required=True, help="组织 ID 列表 (JSON)") args = parser.parse_args() # 解析 organization_ids organization_ids = json.loads(args.organization_ids) logger.info(f"开始硬删除 {len(organization_ids)} 个组织") # 获取配置并初始化 Django fetch_config_and_setup_django() # 执行删除 result = hard_delete_organizations(organization_ids) print(f"删除完成: {result}") if not result.get('success'): sys.exit(1) if __name__ == "__main__": main() ================================================ FILE: backend/apps/targets/scripts/run_delete_targets.py ================================================ #!/usr/bin/env python """ 目标硬删除脚本 用于动态容器执行，硬删除已软删除的目标。 """ import sys import argparse import json import logging from apps.common.container_bootstrap import fetch_config_and_setup_django logging.basicConfig( level=logging.INFO, format='[%(asctime)s] [%(levelname)s] %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logger = logging.getLogger(__name__) def hard_delete_targets(target_ids: list[int]) -> dict: """ 硬删除目标 Args: target_ids: 目标 ID 列表 Returns: 删除统计信息 """ from apps.targets.services import TargetService service = TargetService() try: deleted_count, details = service.hard_delete_targets(target_ids) logger.info(f"✓ 硬删除完成 - 删除数量: {deleted_count}") logger.info(f" 详情: {details}") return { 'success': True, 'deleted_count': deleted_count, 'details': details, } except Exception as e: logger.error(f"硬删除失败: {e}", exc_info=True) return { 'success': False, 'error': str(e), } def main(): parser = argparse.ArgumentParser(description="硬删除目标") parser.add_argument("--target_ids", type=str, required=True, help="目标 ID 列表 (JSON)") args = parser.parse_args() # 解析 target_ids target_ids = json.loads(args.target_ids) logger.info(f"开始硬删除 {len(target_ids)} 个目标") # 获取配置并初始化 Django fetch_config_and_setup_django() # 执行删除 result = hard_delete_targets(target_ids) print(f"删除完成: {result}") if not result.get('success'): sys.exit(1) if __name__ == "__main__": main() ================================================ FILE: backend/apps/targets/serializers.py ================================================ from rest_framework import serializers from django.db import IntegrityError from django.db.models import Count from .models import Organization, Target from apps.common.normalizer import normalize_target from apps.common.validators import detect_target_type from apps.asset.models import Vulnerability class SimpleOrganizationSerializer(serializers.ModelSerializer): """ 简化版组织序列化器 - 用于嵌套在其他序列化器中 注意事项: 1. 只包含基本字段 (id, name)，不嵌套 targets 2. 避免循环引用：Organization ↔ Target 是多对多关系 如果双向嵌套会导致无限递归 3. 适用场景： - 在 TargetSerializer 中显示所属组织列表 - 在其他需要显示组织基本信息的地方 """ class Meta: model = Organization fields = ['id', 'name'] class TargetSerializer(serializers.ModelSerializer): """ 目标序列化器 性能优化说明: 1. 使用嵌套序列化器 SimpleOrganizationSerializer 显示关联的组织 2. ⚠️ 重要：ViewSet 必须使用 prefetch_related('organizations') 否则会产生 N+1 查询问题： - 没有预加载：100 个目标 = 1 + 100 = 101 次查询 - 正确预加载：100 个目标 = 1 + 1 = 2 次查询 已优化的视图: - TargetViewSet: queryset = Target.objects.prefetch_related('organizations') - OrganizationViewSet.targets(): queryset.prefetch_related('organizations') """ organizations = SimpleOrganizationSerializer(many=True, read_only=True) class Meta: model = Target fields = ['id', 'name', 'type', 'created_at', 'last_scanned_at', 'organizations'] read_only_fields = ['id', 'created_at', 'type'] def create(self, validated_data): """创建目标时自动规范化、检测目标类型""" name = validated_data.get('name', '') try: # 1. 规范化 normalized_name = normalize_target(name) # 2. 验证并检测类型 target_type = detect_target_type(normalized_name) # 3. 写入 validated_data['name'] = normalized_name validated_data['type'] = target_type return super().create(validated_data) except ValueError as e: raise serializers.ValidationError({'name': str(e)}) except IntegrityError: # 处理唯一性约束冲突 raise serializers.ValidationError({ 'name': f'目标 "{normalized_name}" 已存在' }) def update(self, instance, validated_data): """更新目标时，如果 name 变化则重新规范化和检测类型""" # 如果 name 发生变化，重新规范化和检测类型 if 'name' in validated_data and validated_data['name'] != instance.name: try: # 1. 规范化 normalized_name = normalize_target(validated_data['name']) # 2. 验证并检测类型 target_type = detect_target_type(normalized_name) # 3. 写入 validated_data['name'] = normalized_name validated_data['type'] = target_type except ValueError as e: raise serializers.ValidationError({'name': str(e)}) try: return super().update(instance, validated_data) except IntegrityError: # 处理唯一性约束冲突 raise serializers.ValidationError({ 'name': f'目标 "{validated_data.get("name", instance.name)}" 已存在' }) class TargetDetailSerializer(serializers.ModelSerializer): """ 目标详情序列化器 - 包含统计数据 用于单个目标详情页面（只读），包含各类资产的统计数量 Note: - 此序列化器只用于 retrieve action（只读操作） - 不包含 create/update 方法，因为详情页不需要修改功能 - 所有字段都是只读的，包括 name """ organizations = SimpleOrganizationSerializer(many=True, read_only=True) summary = serializers.SerializerMethodField() class Meta: model = Target fields = ['id', 'name', 'type', 'created_at', 'last_scanned_at', 'organizations', 'summary'] read_only_fields = ['id', 'name', 'type', 'created_at', 'last_scanned_at', 'summary'] def get_summary(self, obj): """计算目标资产统计数据 统计该目标下的资产数量： - subdomains: 子域名数量 - websites: 网站数量 - endpoints: 端点数量 - ips: IP地址数量 - directories: 目录数量 - screenshots: 截图数量 - vulnerabilities: 漏洞统计（暂时返回 0，待后续实现） 性能说明： - 使用 .count() 查询获取统计数据 - 每个统计字段执行一次数据库查询 - 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 - 对于详情页单条记录，直接 .count() 查询性能可接受 - ips 统计使用 distinct() 去重，因为 HostPortMapping 中同一 IP 可能有多个端口 """ # 基础资产统计（直接使用关联关系 count） subdomains_count = obj.subdomains.count() websites_count = obj.websites.count() endpoints_count = obj.endpoints.count() ips_count = obj.host_port_mappings.values('ip').distinct().count() directories_count = obj.directories.count() screenshots_count = obj.screenshots.count() # 漏洞统计：按目标维度实时统计 Vulnerability 资产表 vuln_qs = obj.vulnerabilities.all() total = vuln_qs.count() severity_stats = { 'critical': 0, 'high': 0, 'medium': 0, 'low': 0, } for row in vuln_qs.values('severity').annotate(count=Count('id')): sev = row['severity'] or '' count = row['count'] or 0 if sev in severity_stats: severity_stats[sev] = count return { 'subdomains': subdomains_count, 'websites': websites_count, 'endpoints': endpoints_count, 'ips': ips_count, 'directories': directories_count, 'screenshots': screenshots_count, 'vulnerabilities': { 'total': total, **severity_stats, } } class OrganizationSerializer(serializers.ModelSerializer): # 使用 IntegerField 接收由 annotate 预计算的 target_count # 避免 N+1 查询问题（在 ViewSet 的 get_queryset 中使用 annotate 预计算） target_count = serializers.IntegerField(read_only=True) class Meta: model = Organization fields = ['id', 'name', 'description', 'created_at', 'target_count'] read_only_fields = ['id', 'created_at', 'target_count'] class BatchCreateTargetSerializer(serializers.Serializer): """ 批量创建目标的序列化器 安全限制： - 最多支持 5000 个目标的批量创建 - 防止恶意用户提交大量数据导致服务器过载 """ # 批量创建的最大数量限制 MAX_BATCH_SIZE = 5000 # 目标列表 targets = serializers.ListField( child=serializers.DictField(), help_text='目标列表，每个目标包含 name 字段（type 会自动检测）' ) # 可选：关联的组织ID organization_id = serializers.IntegerField( required=False, allow_null=True, help_text='可选：关联到指定组织的ID' ) def validate_targets(self, value): """验证目标列表""" if not value: raise serializers.ValidationError("目标列表不能为空") # 检查数量限制，防止服务器过载 if len(value) > self.MAX_BATCH_SIZE: raise serializers.ValidationError( f"批量创建最多支持 {self.MAX_BATCH_SIZE} 个目标，当前提交了 {len(value)} 个" ) # 验证每个目标的必填字段 for idx, target in enumerate(value): if 'name' not in target: raise serializers.ValidationError(f"第 {idx + 1} 个目标缺少 name 字段") if not target['name']: raise serializers.ValidationError(f"第 {idx + 1} 个目标的 name 不能为空") return value ================================================ FILE: backend/apps/targets/services/__init__.py ================================================ """Target Services""" from .target_service import TargetService __all__ = ['TargetService'] ================================================ FILE: backend/apps/targets/services/organization_service.py ================================================ """ Organization 业务逻辑服务层（Service） 负责组织相关的业务逻辑处理 """ import logging from typing import List, Tuple, Dict from ..models import Organization from ..repositories.django_organization_repository import DjangoOrganizationRepository logger = logging.getLogger(__name__) class OrganizationService: """Organization 业务逻辑服务""" def __init__(self): """初始化服务，注入 Repository 依赖""" self.repo = DjangoOrganizationRepository() # ==================== 查询操作 ==================== def get_organization(self, organization_id: int) -> Organization | None: """ 获取组织 Args: organization_id: 组织 ID Returns: Organization 对象或 None """ return self.repo.get_by_id(organization_id) def get_all(self): """ 获取所有组织 Returns: QuerySet: 组织查询集 """ return self.repo.get_all() def get_all_with_stats(self): """ 获取所有组织（带统计信息） Returns: QuerySet: 带统计信息的组织查询集 """ return self.repo.get_all_with_stats() # ==================== 创建操作 ==================== def bulk_add_targets(self, organization_id: int, targets: List) -> None: """ 批量添加目标到组织 Args: organization_id: 组织 ID targets: Target 对象列表 """ logger.debug("批量关联目标到组织 - Org ID: %s, Targets: %s", organization_id, len(targets)) self.repo.bulk_add_targets(organization_id, targets) # ==================== 删除操作 ==================== def delete_organizations_two_phase(self, organization_ids: List[int]) -> Dict: """ 两阶段删除组织（业务方法） Args: organization_ids: 组织 ID 列表 Returns: { 'soft_deleted_count': int, 'hard_delete_scheduled': bool } Raises: ValueError: 未找到要删除的组织 Note: - 阶段 1：软删除（立即），用户立即看不到数据 - 阶段 2：硬删除（后台），真正删除数据和中间表 """ # 0. 先获取组织名称（用于返回给前端） org_names = [name for _, name in self.repo.get_names_by_ids(organization_ids)] # 1. 软删除（如果 ID 不存在，update 返回 0） soft_count = self.soft_delete_organizations(organization_ids) # 2. 检查是否有记录被删除 if soft_count == 0: raise ValueError("未找到要删除的组织") logger.info(f"✓ 软删除完成: {soft_count} 个组织") # 3. 使用 task_distributor 分发硬删除任务到 Worker try: from apps.engine.services.task_distributor import get_task_distributor distributor = get_task_distributor() success, message, container_id = distributor.execute_delete_task( task_type='organizations', ids=organization_ids ) if success: logger.info(f"✓ 硬删除任务已分发 - Container: {container_id}") else: logger.warning(f"硬删除任务分发失败: {message}") except Exception as e: logger.error(f"❌ 分发删除任务失败: {e}", exc_info=True) logger.warning("硬删除可能未成功提交，请检查 Worker 状态") return { 'soft_deleted_count': soft_count, 'organization_names': org_names, 'hard_delete_scheduled': True } def soft_delete_organizations(self, organization_ids: List[int]) -> int: """ 软删除组织 Args: organization_ids: 组织 ID 列表 Returns: 软删除的记录数 Note: - 返回值是实际更新的记录数，不是传入的 ID 数量 - 如果某些 ID 不存在，返回值会小于传入的 ID 数量 """ logger.info("软删除 %d 个组织", len(organization_ids)) try: deleted_count = self.repo.soft_delete_by_ids(organization_ids) logger.info("✓ 软删除成功 - 数量: %d", deleted_count) return deleted_count except Exception as e: logger.error("软删除失败: %s", e) raise def hard_delete_organizations(self, organization_ids: List[int]) -> Tuple[int, Dict[str, int]]: """ 硬删除组织（真正删除数据，使用 Django CASCADE） Args: organization_ids: 组织 ID 列表 Returns: (删除的记录数, 删除详情字典) Note: - 从数据库中永久删除 - Django CASCADE 自动删除 organization_targets 中间表记录 - 不会删除关联的 Target（多对多） """ logger.info("硬删除 %d 个组织", len(organization_ids)) try: deleted_count, deleted_details = self.repo.hard_delete_by_ids(organization_ids) logger.info("✓ 硬删除成功 - 数量: %d, 删除记录数: %d", len(organization_ids), deleted_count) return deleted_count, deleted_details except Exception as e: logger.error("❌ 硬删除失败 - IDs: %s, 错误: %s", organization_ids, e) raise ================================================ FILE: backend/apps/targets/services/target_service.py ================================================ """ Target 业务逻辑服务层（Service） 负责目标相关的业务逻辑处理 """ import logging from typing import List, Tuple, Dict, Any, Optional from django.db import transaction from ..models import Target from ..repositories.django_target_repository import DjangoTargetRepository logger = logging.getLogger(__name__) class TargetService: """Target 业务逻辑服务""" def __init__(self): """初始化服务，注入 Repository 依赖""" self.repo = DjangoTargetRepository() # ==================== 查询方法 ==================== def count_existing_ids(self, target_ids: List[int]) -> int: """ 统计给定 ID 列表中实际存在的目标数量 Args: target_ids: 目标 ID 列表 Returns: 存在的目标数量 """ return self.repo.count_by_ids(target_ids) # ==================== 查询操作 ==================== def get_target(self, target_id: int) -> Target | None: """ 获取目标 Args: target_id: 目标 ID Returns: Target 对象或 None """ return self.repo.get_by_id(target_id) def get_by_id(self, target_id: int) -> Target | None: """ 根据 ID 获取目标（get_target 别名） Args: target_id: 目标 ID Returns: Target 对象或 None """ return self.repo.get_by_id(target_id) def get_all(self): """ 获取所有目标 Returns: QuerySet: 目标查询集 """ return self.repo.get_all() def get_targets_by_names(self, names: List[str]) -> List[Target]: """ 根据名称批量获取目标 Args: names: 目标名称列表 Returns: Target 对象列表 """ return self.repo.get_by_names(names) def update_last_scanned_at(self, target_id: int) -> bool: """ 更新目标的最后扫描时间 Args: target_id: 目标 ID Returns: 是否更新成功 """ from django.utils import timezone return self.repo.update_last_scanned_at(target_id, timezone.now()) # ==================== 创建操作 ==================== def batch_create_targets( self, targets_data: List[Dict[str, Any]], organization_id: Optional[int] = None ) -> Dict[str, Any]: """ 批量创建目标 Args: targets_data: 目标数据列表，每个元素包含 name 字段 organization_id: 可选，关联到指定组织的 ID Returns: { 'created_count': int, # 处理的目标数量 'failed_count': int, 'failed_targets': List[Dict], 'message': str } Performance: 使用 bulk_create(ignore_conflicts=True) 直接创建，无需先查询。 1000个目标：~30ms """ from apps.targets.models import Target from apps.common.normalizer import normalize_target from apps.common.validators import detect_target_type from .organization_service import OrganizationService # ==================== 步骤 1：预处理数据 ==================== # 目的：规范化目标名称、检测类型、去重、过滤无效数据 valid_targets_map = {} # {name: type} failed_targets = [] for data in targets_data: name = data.get('name') if not name: continue try: norm_name = normalize_target(name) t_type = detect_target_type(norm_name) valid_targets_map[norm_name] = t_type except ValueError as e: failed_targets.append({'name': name, 'reason': str(e)}) if not valid_targets_map: return { 'created_count': 0, 'failed_count': len(failed_targets), 'failed_targets': failed_targets, 'message': "没有有效的目标" } # 验证组织是否存在 if organization_id: org_service = OrganizationService() organization = org_service.get_organization(organization_id) if not organization: raise ValueError(f'组织 ID {organization_id} 不存在') target_names = list(valid_targets_map.keys()) with transaction.atomic(): # ==================== 步骤 2：批量创建 Target（忽略冲突）==================== target_objs = [ Target(name=name, type=t_type) for name, t_type in valid_targets_map.items() ] self.repo.bulk_create_ignore_conflicts(target_objs) # ==================== 步骤 3：处理关联组织 ==================== if organization_id: # 重新查询获取所有涉及的 Target 对象（含 ID） all_targets = self.repo.get_by_names(target_names) org_service = OrganizationService() org_service.bulk_add_targets(organization_id, all_targets) # ==================== 懒加载模式：不预创建任何资产 ==================== # Subdomain/Website/Endpoint 将在各扫描流程中按需创建 created_count = len(valid_targets_map) logger.info( "批量创建目标完成（懒加载模式）- 处理: %d, 失败: %d", created_count, len(failed_targets) ) return { 'created_count': created_count, 'failed_count': len(failed_targets), 'failed_targets': failed_targets, 'message': f"成功处理 {created_count} 个目标" } # ==================== 删除操作 ==================== def delete_targets_two_phase(self, target_ids: List[int]) -> Dict: """ 两阶段删除目标（业务方法） Args: target_ids: 目标 ID 列表 Returns: { 'soft_deleted_count': int, 'hard_delete_scheduled': bool } Raises: ValueError: 未找到要删除的目标 Note: - 阶段 1：软删除（立即），用户立即看不到数据 - 阶段 2：硬删除（后台），真正删除数据和关联 """ # 0. 先获取目标名称（用于返回给前端） target_names = [name for _, name in self.repo.get_names_by_ids(target_ids)] # 1. 软删除（如果 ID 不存在，update 返回 0） soft_count = self.soft_delete_targets(target_ids) # 2. 检查是否有记录被删除 if soft_count == 0: raise ValueError("未找到要删除的目标") logger.info(f"✓ 软删除完成: {soft_count} 个目标") # 3. 使用 task_distributor 分发硬删除任务到 Worker try: from apps.engine.services.task_distributor import get_task_distributor distributor = get_task_distributor() success, message, container_id = distributor.execute_delete_task( task_type='targets', ids=target_ids ) if success: logger.info(f"✓ 硬删除任务已分发 - Container: {container_id}") else: logger.warning(f"硬删除任务分发失败: {message}") except Exception as e: logger.error(f"❌ 分发删除任务失败: {e}", exc_info=True) logger.warning("硬删除可能未成功提交，请检查 Worker 状态") return { 'soft_deleted_count': soft_count, 'target_names': target_names, 'hard_delete_scheduled': True } def soft_delete_targets(self, target_ids: List[int]) -> int: """ 软删除目标 Args: target_ids: 目标 ID 列表 Returns: 软删除的记录数 Note: - 返回值是实际更新的记录数，不是传入的 ID 数量 - 如果某些 ID 不存在，返回值会小于传入的 ID 数量 """ logger.info("软删除 %d 个目标", len(target_ids)) try: deleted_count = self.repo.soft_delete_by_ids(target_ids) logger.info("✓ 软删除成功 - 数量: %d", deleted_count) return deleted_count except Exception as e: logger.error("软删除失败: %s", e) raise def hard_delete_targets(self, target_ids: List[int]) -> Tuple[int, Dict[str, int]]: """ 硬删除目标（真正删除数据）- 使用数据库级 CASCADE Args: target_ids: 目标 ID 列表 Returns: (删除的记录数, 删除详情字典) Strategy: 使用数据库级 CASCADE 删除，性能最优 Note: - 硬删除：从数据库中永久删除 - 数据库自动级联删除所有关联数据 - 不触发 Django 信号（pre_delete/post_delete） """ logger.debug("准备硬删除目标（CASCADE）- Count: %s, IDs: %s", len(target_ids), target_ids) deleted_count, details = self.repo.hard_delete_by_ids(target_ids) logger.info( "硬删除目标成功（CASCADE）- Count: %s, 删除记录数: %s", len(target_ids), deleted_count ) return deleted_count, details ================================================ FILE: backend/apps/targets/urls.py ================================================ from django.urls import path, include from rest_framework.routers import DefaultRouter from .views import OrganizationViewSet, TargetViewSet from apps.asset.views import ( SubdomainViewSet, WebSiteViewSet, DirectoryViewSet, EndpointViewSet, HostPortMappingViewSet, VulnerabilityViewSet, ScreenshotViewSet ) # 创建路由器 router = DefaultRouter() # 注册 ViewSet router.register(r'organizations', OrganizationViewSet, basename='organization') router.register(r'targets', TargetViewSet, basename='target') # Target 下的嵌套资产路由 target_subdomains_list = SubdomainViewSet.as_view({'get': 'list'}) target_subdomains_export = SubdomainViewSet.as_view({'get': 'export'}) target_subdomains_bulk_create = SubdomainViewSet.as_view({'post': 'bulk_create'}) target_websites_list = WebSiteViewSet.as_view({'get': 'list'}) target_websites_export = WebSiteViewSet.as_view({'get': 'export'}) target_websites_bulk_create = WebSiteViewSet.as_view({'post': 'bulk_create'}) target_directories_list = DirectoryViewSet.as_view({'get': 'list'}) target_directories_export = DirectoryViewSet.as_view({'get': 'export'}) target_directories_bulk_create = DirectoryViewSet.as_view({'post': 'bulk_create'}) target_endpoints_list = EndpointViewSet.as_view({'get': 'list'}) target_endpoints_export = EndpointViewSet.as_view({'get': 'export'}) target_endpoints_bulk_create = EndpointViewSet.as_view({'post': 'bulk_create'}) target_ip_addresses_list = HostPortMappingViewSet.as_view({'get': 'list'}) target_ip_addresses_export = HostPortMappingViewSet.as_view({'get': 'export'}) target_vulnerabilities_list = VulnerabilityViewSet.as_view({'get': 'list'}) target_screenshots_list = ScreenshotViewSet.as_view({'get': 'list'}) target_screenshots_bulk_delete = ScreenshotViewSet.as_view({'post': 'bulk_delete'}) urlpatterns = [ path('', include(router.urls)), # 嵌套路由：/api/targets/{target_pk}/xxx/ path('targets/<int:target_pk>/subdomains/', target_subdomains_list, name='target-subdomains-list'), path('targets/<int:target_pk>/subdomains/export/', target_subdomains_export, name='target-subdomains-export'), path('targets/<int:target_pk>/subdomains/bulk-create/', target_subdomains_bulk_create, name='target-subdomains-bulk-create'), path('targets/<int:target_pk>/websites/', target_websites_list, name='target-websites-list'), path('targets/<int:target_pk>/websites/export/', target_websites_export, name='target-websites-export'), path('targets/<int:target_pk>/websites/bulk-create/', target_websites_bulk_create, name='target-websites-bulk-create'), path('targets/<int:target_pk>/directories/', target_directories_list, name='target-directories-list'), path('targets/<int:target_pk>/directories/export/', target_directories_export, name='target-directories-export'), path('targets/<int:target_pk>/directories/bulk-create/', target_directories_bulk_create, name='target-directories-bulk-create'), path('targets/<int:target_pk>/endpoints/', target_endpoints_list, name='target-endpoints-list'), path('targets/<int:target_pk>/endpoints/export/', target_endpoints_export, name='target-endpoints-export'), path('targets/<int:target_pk>/endpoints/bulk-create/', target_endpoints_bulk_create, name='target-endpoints-bulk-create'), path('targets/<int:target_pk>/ip-addresses/', target_ip_addresses_list, name='target-ip-addresses-list'), path('targets/<int:target_pk>/ip-addresses/export/', target_ip_addresses_export, name='target-ip-addresses-export'), path('targets/<int:target_pk>/vulnerabilities/', target_vulnerabilities_list, name='target-vulnerabilities-list'), path('targets/<int:target_pk>/screenshots/', target_screenshots_list, name='target-screenshots-list'), path('targets/<int:target_pk>/screenshots/bulk-delete/', target_screenshots_bulk_delete, name='target-screenshots-bulk-delete'), ] ================================================ FILE: backend/apps/targets/views.py ================================================ import logging from rest_framework import viewsets, status, filters from rest_framework.decorators import action from rest_framework.response import Response from rest_framework.exceptions import ValidationError, NotFound, APIException from django.db import transaction from django.db.models import Count from .models import Organization, Target from .serializers import OrganizationSerializer, TargetSerializer, TargetDetailSerializer, BatchCreateTargetSerializer from .services.target_service import TargetService from .services.organization_service import OrganizationService from apps.common.pagination import BasePagination from apps.common.response_helpers import success_response from apps.common.models import BlacklistRule from apps.common.serializers import TargetBlacklistRuleSerializer logger = logging.getLogger(__name__) class OrganizationViewSet(viewsets.ModelViewSet): """组织管理 - 增删改查""" serializer_class = OrganizationSerializer pagination_class = BasePagination filter_backends = [filters.SearchFilter, filters.OrderingFilter] search_fields = ['name'] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.org_service = OrganizationService() def get_queryset(self): """优化查询,预计算目标数量，避免 N+1 查询""" return self.org_service.get_all_with_stats() @action(detail=True, methods=['get']) def targets(self, request, pk=None): """ 获取组织的目标列表 GET /api/organizations/{id}/targets/?page=1&pageSize=10 """ organization = self.get_object() # 获取组织的目标（优化：使用 prefetch_related 预加载 organizations，避免 N+1 查询） queryset = organization.targets.prefetch_related('organizations').all() # 使用分页器 paginator = self.paginator page = paginator.paginate_queryset(queryset, request, view=self) if page is not None: serializer = TargetSerializer(page, many=True) return paginator.get_paginated_response(serializer.data) # 如果没有分页参数，抛出异常 raise ValidationError('必须提供分页参数 page 和 pageSize') @action(detail=True, methods=['post']) def unlink_targets(self, request, pk=None): """ 解除组织与目标的关联 POST /api/organizations/{id}/unlink_targets/ 请求格式： { "target_ids": [1, 2, 3] } 返回： { "unlinked_count": 3, "message": "成功解除 3 个目标的关联" } 注意：此操作只解除关联关系，不会删除目标本身 """ organization = self.get_object() target_ids = request.data.get('target_ids', []) if not target_ids: raise ValidationError('目标ID列表不能为空') if not isinstance(target_ids, list): raise ValidationError('target_ids 必须是数组') # 使用事务保护 with transaction.atomic(): # 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） existing_target_ids = list( organization.targets.filter(id__in=target_ids).values_list('id', flat=True) ) existing_count = len(existing_target_ids) if existing_count == 0: raise ValidationError('未找到要解除关联的目标') # 批量解除关联（直接使用 ID，避免查询对象） organization.targets.remove(*existing_target_ids) return success_response(data={ 'unlinkedCount': existing_count }) def destroy(self, request, *args, **kwargs): """ 删除单个组织（复用批量删除逻辑） DELETE /api/organizations/{id}/ 功能: - 复用 bulk_delete 的两阶段删除逻辑 - 立即返回 200 OK，软删除完成，硬删除在后台执行 返回: - 200 OK: 软删除完成，硬删除已在后台启动 - 404 Not Found: 组织不存在 注意: - 两阶段删除：软删除（立即）+ 硬删除（后台任务） - 硬删除会清理 organization_targets 中间表 - 不会删除关联的 Target（多对多关系） """ try: organization = self.get_object() # 直接调用 Service 层的业务方法（软删除 + 分发硬删除任务） result = self.org_service.delete_organizations_two_phase([organization.id]) return success_response(data={ 'organizationId': organization.id, 'organizationName': organization.name, 'deletedCount': result['soft_deleted_count'], 'deletedOrganizations': result['organization_names'] }) except Organization.DoesNotExist: raise NotFound('组织不存在') except ValueError as e: raise NotFound(str(e)) except Exception as e: logger.exception("删除组织时发生错误") raise APIException('服务器错误，请稍后重试') @action(detail=False, methods=['post', 'delete'], url_path='bulk-delete') def bulk_delete(self, request): """ 批量删除组织（两阶段删除） POST/DELETE /api/organizations/bulk-delete/ 请求格式: { "ids": [1, 2, 3] } 功能: - 阶段 1：立即软删除（用户立即看不到数据） - 阶段 2：后台硬删除（真正删除数据和中间表） 返回: - 200 OK: 删除成功 - 400 Bad Request: 参数错误 - 404 Not Found: 未找到要删除的组织 注意: - 软删除：用户立即看不到 - 硬删除：清理数据库和 organization_targets 中间表 - 不会删除关联的 Target（多对多关系） - 硬删除任务通过 task_distributor 分发到动态容器执行 """ ids = request.data.get('ids', []) # 参数验证 if not ids: raise ValidationError('缺少必填参数: ids') if not isinstance(ids, list): raise ValidationError('ids 必须是数组') if not all(isinstance(i, int) for i in ids): raise ValidationError('ids 数组中的所有元素必须是整数') try: # 调用 Service 层的业务方法（软删除 + 分发硬删除任务） result = self.org_service.delete_organizations_two_phase(ids) return success_response(data={ 'deletedCount': result['soft_deleted_count'], 'deletedOrganizations': result['organization_names'] }) except ValueError as e: raise NotFound(str(e)) except Exception as e: logger.exception("删除组织时发生错误") raise APIException('服务器错误，请稍后重试') class TargetViewSet(viewsets.ModelViewSet): """ 目标管理 - 增删改查 性能优化说明: 1. 使用 prefetch_related('organizations') 预加载关联的组织 2. 配合 TargetSerializer 中的嵌套序列化器 SimpleOrganizationSerializer 3. 避免 N+1 查询问题： - 优化前：100 个目标 = 1 + 100 = 101 次查询 - 优化后：100 个目标 = 1 + 1 = 2 次查询 ⚠️ 重要：如果在其他地方使用 TargetSerializer，必须确保查询时使用了 prefetch_related('organizations')，否则仍会产生 N+1 查询 """ serializer_class = TargetSerializer pagination_class = BasePagination filter_backends = [filters.SearchFilter, filters.OrderingFilter] search_fields = ['name'] ordering = ['-created_at'] def __init__(self, **kwargs): super().__init__(**kwargs) self.target_service = TargetService() def get_queryset(self): """获取目标查询集 注意：不在这里使用 .annotate() 预聚合统计数据 原因： - 列表页（list action）：需要分页 + 高性能统计 - 详情页（retrieve action）：只需要一条记录的统计 统计策略： - 列表页：在 serializer 中用 .count() 单次查询（高性能） - 详情页：同样用 .count() 单次查询 ⚠️ 为什么不用 .annotate(): - 原因：多个 Count(distinct=True) 在大数据量时很慢（特别是目录数据） """ # 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()） return self.target_service.get_all() def get_serializer_class(self): """根据不同的 action 返回不同的序列化器 - retrieve action: 使用 TargetDetailSerializer（包含 summary 统计数据） - 其他 action: 使用标准的 TargetSerializer """ if self.action == 'retrieve': return TargetDetailSerializer return TargetSerializer def destroy(self, request, *args, **kwargs): """ 删除单个目标（复用批量删除逻辑） DELETE /api/targets/{id}/ 功能: - 复用 bulk_delete 的两阶段删除逻辑 - 立即返回 200 OK，软删除完成，硬删除在后台执行 返回: - 200 OK: 软删除完成，硬删除已在后台启动 - 404 Not Found: 目标不存在 注意: - 两阶段删除：软删除（立即）+ 硬删除（后台任务） - 硬删除会使用分批删除策略处理大数据量 """ try: target = self.get_object() # 直接调用 Service 层的业务方法（软删除 + 分发硬删除任务） result = self.target_service.delete_targets_two_phase([target.id]) return success_response(data={ 'targetId': target.id, 'targetName': target.name, 'deletedCount': result['soft_deleted_count'] }) except Target.DoesNotExist: raise NotFound('目标不存在') except ValueError as e: raise NotFound(str(e)) except Exception as e: logger.exception("删除目标时发生错误") raise APIException('服务器错误，请稍后重试') @action(detail=False, methods=['post', 'delete'], url_path='bulk-delete') def bulk_delete(self, request): """ 批量删除目标（两阶段删除策略） POST/DELETE /api/targets/bulk-delete/ 请求格式: { "ids": [1, 2, 3] } 两阶段删除策略： 1. 阶段 1（立即）：软删除目标，用户立即看不到数据 2. 阶段 2（后台）：硬删除任务，真正清理数据 功能: - 立即软删除：用户立即看不到数据（响应快） - 后台硬删除：使用分批删除策略处理大数据量 返回: - 200 OK: 删除成功 - 400 Bad Request: 参数错误 - 404 Not Found: 未找到目标 注意: - 软删除：数据可恢复（deleted_at 不为 NULL） - 硬删除：数据不可恢复（真正从数据库删除） - 硬删除任务通过 task_distributor 分发到动态容器执行 """ ids = request.data.get('ids', []) # 参数验证 if not ids: raise ValidationError('缺少必填参数: ids') if not isinstance(ids, list): raise ValidationError('ids 必须是数组') if not all(isinstance(i, int) for i in ids): raise ValidationError('ids 数组中的所有元素必须是整数') try: # 调用 Service 层的业务方法（软删除 + 分发硬删除任务） result = self.target_service.delete_targets_two_phase(ids) return success_response(data={ 'deletedCount': result['soft_deleted_count'], 'deletedTargets': result['target_names'] }) except ValueError as e: raise NotFound(str(e)) except Exception as e: logger.exception("删除目标时发生错误") raise APIException('服务器错误，请稍后重试') @action(detail=False, methods=['post']) def batch_create(self, request): """ 批量创建目标 POST /api/targets/batch_create/ 请求格式： { "targets": [ {"name": "example.com"}, {"name": "192.168.1.1"}, {"name": "192.168.1.0/24"} ], "organization_id": 1 // 可选，关联到指定组织 } 限制： - 最多支持 1000 个目标的批量创建 - type 会根据 name 自动检测（域名/IP/CIDR） 返回： { "created_count": 2, "failed_count": 0, "failed_targets": [ {"name": "xxx", "reason": "无法识别的目标格式"} ], "message": "成功创建 2 个目标" } """ # 1. 参数验证 serializer = BatchCreateTargetSerializer(data=request.data) serializer.is_valid(raise_exception=True) targets_data = serializer.validated_data['targets'] organization_id = serializer.validated_data.get('organization_id') # 2. 调用 Service 层处理业务逻辑 try: result = self.target_service.batch_create_targets( targets_data=targets_data, organization_id=organization_id ) except ValueError as e: raise ValidationError(str(e)) # 3. 返回响应 return success_response(data=result, status_code=status.HTTP_201_CREATED) # subdomains action 已迁移到 SubdomainViewSet 嵌套路由 # GET /api/targets/{id}/subdomains/ -> SubdomainViewSet # vulnerabilities action 已迁移到 VulnerabilityViewSet 嵌套路由 # GET /api/targets/{id}/vulnerabilities/ -> VulnerabilityViewSet # 所有资产相关的 action 和 export 已迁移到 asset/views.py 中的各 ViewSet # GET /api/targets/{id}/subdomains/ -> SubdomainViewSet # GET /api/targets/{id}/subdomains/export/ -> SubdomainViewSet.export # GET /api/targets/{id}/websites/ -> WebSiteViewSet # GET /api/targets/{id}/websites/export/ -> WebSiteViewSet.export # GET /api/targets/{id}/endpoints/ -> EndpointViewSet # GET /api/targets/{id}/endpoints/export/ -> EndpointViewSet.export # GET /api/targets/{id}/directories/ -> DirectoryViewSet # GET /api/targets/{id}/directories/export/ -> DirectoryViewSet.export # GET /api/targets/{id}/ip-addresses/ -> HostPortMappingViewSet # GET /api/targets/{id}/ip-addresses/export/ -> HostPortMappingViewSet.export # GET /api/targets/{id}/vulnerabilities/ -> VulnerabilityViewSet # ==================== 黑名单管理 ==================== @action(detail=True, methods=['get', 'put'], url_path='blacklist') def blacklist(self, request, pk=None): """ Target 黑名单规则管理 GET /api/targets/{id}/blacklist/ - 获取 Target 黑名单列表 PUT /api/targets/{id}/blacklist/ - 全量替换规则（文本框保存场景） 设计说明： - 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 - 用户编辑文本框 -> 点击保存 -> 后端全量替换 架构：MVS 模式 - View: 参数验证、响应格式化 - Service: 业务逻辑（BlacklistService） - Model: 数据持久化（BlacklistRule） """ from apps.common.services import BlacklistService target = self.get_object() blacklist_service = BlacklistService() if request.method == 'GET': # 获取 Target 的黑名单规则 rules = blacklist_service.get_target_rules(target.id) patterns = list(rules.values_list('pattern', flat=True)) return success_response(data={'patterns': patterns}) elif request.method == 'PUT': # 全量替换 patterns = request.data.get('patterns', []) if not isinstance(patterns, list): return Response( {'error': {'code': 'VALIDATION_ERROR', 'message': 'patterns 必须是数组'}}, status=status.HTTP_400_BAD_REQUEST ) # 调用 Service 层全量替换 result = blacklist_service.replace_target_rules(target, patterns) return success_response(data=result) ================================================ FILE: backend/config/__init__.py ================================================ """ 配置包初始化 确保 Prefect 配置在 Django 启动时被加载 """ # 延迟导入，避免在 ASGI 启动时出现循环依赖 # configure_prefect() 会在 Django 应用就绪时自动调用 __all__ = ('configure_prefect',) ================================================ FILE: backend/config/asgi.py ================================================ """ ASGI config for config project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/5.2/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application from channels.routing import ProtocolTypeRouter, URLRouter from channels.auth import AuthMiddlewareStack os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') # 初始化 Django ASGI 应用（必须在导入路由之前） django_asgi_app = get_asgi_application() # 导入 WebSocket 路由 from apps.scan.notifications.routing import websocket_urlpatterns as notification_ws from apps.engine.routing import websocket_urlpatterns as worker_ws application = ProtocolTypeRouter({ 'http': django_asgi_app, 'websocket': AuthMiddlewareStack( URLRouter(notification_ws + worker_ws) ), }) ================================================ FILE: backend/config/logging_config.py ================================================ """ 日志配置模块（改进版 v2） 根据环境（开发/生产）和环境变量配置 Django 日志系统 改进内容： 1. ✅ 结构化日志 - JSON 格式便于日志分析和监控 2. ✅ 性能指标日志 - 专门记录性能相关信息 3. ⚠️ 异步日志处理 - 需要额外配置（见下方说明） 环境变量： - LOG_LEVEL: 全局日志级别 (DEBUG/INFO/WARNING/ERROR/CRITICAL) - LOG_DIR: 日志文件目录（留空则不输出文件） 开发环境特性： - 默认 DEBUG 级别 - 控制台彩色输出 - 可选文件输出 生产环境特性： - 默认 INFO 级别 - 控制台 + 文件输出（配置 LOG_DIR） - 文件自动轮转（10MB，保留5个备份） - JSON 结构化日志 - 性能指标日志 依赖安装： - pip install python-json-logger # JSON 格式化器 异步日志说明： - 当前使用标准 RotatingFileHandler（同步写入） - 如需异步处理，可使用 logging_config_new.py 中的 QueueHandler 方案 - 异步方案需要额外的 QueueListener 配置和生命周期管理 设计说明： - 直接从环境变量读取配置，避免与 settings.py 循环依赖 - settings.py 在加载时会调用此模块，此时 settings 对象尚未完全初始化 - 这是 Django 配置模块的常见模式 """ import os from pathlib import Path def get_logging_config(debug: bool = False): """ 获取日志配置字典 Args: debug: 是否为 DEBUG 模式 Returns: dict: Django LOGGING 配置字典 """ # 获取日志配置 log_level = os.getenv('LOG_LEVEL', 'DEBUG' if debug else 'INFO') log_dir = os.getenv('LOG_DIR', '') # 构建 handlers 配置 log_handlers = ['console'] logging_handlers = { 'console': { 'class': 'logging.StreamHandler', 'formatter': 'colored' if debug else 'standard', 'stream': 'ext://sys.stdout', } } # 如果配置了日志目录，添加文件 handler if log_dir: log_path = Path(log_dir) log_path.mkdir(parents=True, exist_ok=True) # 标准文件日志 log_handlers.append('file') logging_handlers['file'] = { 'class': 'logging.handlers.RotatingFileHandler', 'formatter': 'standard', 'filename': str(log_path / 'xingrin.log'), 'maxBytes': 100 * 1024 * 1024, # 100MB 'backupCount': 5, 'encoding': 'utf-8', } # 错误日志单独记录 log_handlers.append('error_file') logging_handlers['error_file'] = { 'class': 'logging.handlers.RotatingFileHandler', 'formatter': 'standard', 'filename': str(log_path / 'xingrin_error.log'), 'maxBytes': 100 * 1024 * 1024, # 100MB 'backupCount': 5, 'encoding': 'utf-8', 'level': 'ERROR', # 只记录 ERROR 及以上级别 } # JSON 结构化日志（暂时关闭，需要时再开启） # log_handlers.append('json_file') # logging_handlers['json_file'] = { # 'class': 'logging.handlers.RotatingFileHandler', # 'formatter': 'json', # 'filename': str(log_path / 'xingrin_json.log'), # 'maxBytes': 100 * 1024 * 1024, # 100MB # 'backupCount': 5, # 'encoding': 'utf-8', # } # 性能指标日志（可读格式，便于人工查看） logging_handlers['performance_file'] = { 'class': 'logging.handlers.RotatingFileHandler', 'formatter': 'standard', # 使用可读格式，不用 JSON 'filename': str(log_path / 'performance.log'), 'maxBytes': 100 * 1024 * 1024, # 100MB 'backupCount': 5, 'encoding': 'utf-8', } # 构建完整的 LOGGING 配置 logging_config = { 'version': 1, 'disable_existing_loggers': False, # 格式化器 'formatters': { 'standard': { 'format': '[%(asctime)s] [%(levelname)s] [%(name)s:%(lineno)d] %(message)s', 'datefmt': '%Y-%m-%d %H:%M:%S', }, 'colored': { 'format': '%(log_color)s[%(asctime)s] [%(levelname)s] [%(name)s:%(lineno)d]%(reset)s %(message)s', 'datefmt': '%Y-%m-%d %H:%M:%S', '()': 'colorlog.ColoredFormatter', 'log_colors': { 'DEBUG': 'cyan', 'INFO': 'green', 'WARNING': 'yellow', 'ERROR': 'red', 'CRITICAL': 'red,bg_white', }, }, # JSON 格式化器（结构化日志） 'json': { '()': 'pythonjsonlogger.jsonlogger.JsonFormatter', 'format': '%(asctime)s %(name)s %(levelname)s %(message)s %(pathname)s %(lineno)d', 'datefmt': '%Y-%m-%d %H:%M:%S', }, }, # 处理器 'handlers': logging_handlers, # 日志记录器 'loggers': { # Django 核心日志 'django': { 'handlers': log_handlers, 'level': 'INFO', # Django 框架日志，通常不需要 DEBUG 'propagate': False, }, 'django.request': { 'handlers': log_handlers, 'level': 'WARNING', # 请求错误日志 'propagate': False, }, 'django.server': { 'handlers': log_handlers, 'level': 'WARNING', # Django 开发服务器日志 'propagate': False, }, 'django.db.backends': { 'handlers': log_handlers, 'level': 'WARNING' if not debug else 'DEBUG', # SQL 查询日志（开发环境可启用） 'propagate': False, }, # 应用日志 - 扫描模块 'apps.scan': { 'handlers': log_handlers, 'level': log_level, 'propagate': False, }, # 应用日志 - 其他模块（统一级别） 'apps.asset': { 'handlers': log_handlers, 'level': log_level, 'propagate': False, }, 'apps.targets': { 'handlers': log_handlers, 'level': log_level, 'propagate': False, }, 'apps.engine': { 'handlers': log_handlers, 'level': log_level, 'propagate': False, }, 'apps.common': { 'handlers': log_handlers, 'level': log_level, 'propagate': False, }, # 第三方库日志控制 'websockets': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 WebSocket 的 DEBUG/INFO 日志 'propagate': False, }, 'websockets.client': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 WebSocket 客户端的调试日志 'propagate': False, }, 'httpx': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 HTTP 客户端的详细日志 'propagate': False, }, 'httpcore': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 HTTP 核心库的调试日志 'propagate': False, }, 'httpcore.connection': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 HTTP 连接的调试日志 'propagate': False, }, 'httpcore.http11': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 HTTP/1.1 协议的调试日志 'propagate': False, }, 'prefect': { 'handlers': log_handlers, 'level': 'INFO', # Prefect 框架日志保持 INFO 级别 'propagate': False, }, 'apscheduler': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭定时任务的 INFO 日志（每分钟执行） 'propagate': False, }, 'apscheduler.scheduler': { 'handlers': log_handlers, 'level': 'WARNING', 'propagate': False, }, 'apscheduler.executors': { 'handlers': log_handlers, 'level': 'WARNING', 'propagate': False, }, 'graphviz': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 graphviz 的 DEBUG 日志 'propagate': False, }, 'graphviz._tools': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 graphviz._tools 的 DEBUG 日志 'propagate': False, }, # Django 框架日志控制 'django.db.backends': { 'handlers': log_handlers, 'level': 'INFO', # 关闭数据库查询的 DEBUG 日志 'propagate': False, }, 'django.db.backends.schema': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭数据库模式的 DEBUG 日志 'propagate': False, }, 'django.utils.autoreload': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭自动重载的 DEBUG 日志 'propagate': False, }, 'django.request': { 'handlers': log_handlers, 'level': 'WARNING', # 只记录 WARNING 以上的请求日志（错误请求） 'propagate': False, }, 'django.server': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭服务器的 INFO 日志（如访问日志） 'propagate': False, }, # 其他第三方库日志控制 'asyncio': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 asyncio 的 DEBUG 日志 'propagate': False, }, 'urllib3': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭 urllib3 的详细日志 'propagate': False, }, 'urllib3.connectionpool': { 'handlers': log_handlers, 'level': 'WARNING', # 关闭连接池的详细日志 'propagate': False, }, # 性能指标日志（专门记录性能相关信息） 'performance': { 'handlers': ['performance_file'] if log_dir else ['console'], 'level': 'INFO', 'propagate': False, }, }, # 根日志记录器（兜底配置） 'root': { 'level': log_level, 'handlers': log_handlers, }, } return logging_config ================================================ FILE: backend/config/settings.py ================================================ """ Django settings for config project. Generated by 'django-admin startproject' using Django 5.2.7. For more information on this file, see https://docs.djangoproject.com/en/5.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/5.2/ref/settings/ """ from pathlib import Path import os from dotenv import load_dotenv # 加载环境变量 load_dotenv() def get_bool_env(key: str, default: bool = False) -> bool: """获取布尔值环境变量，兼容多种写法（true/True/TRUE/1/yes）""" value = os.getenv(key, str(default)).lower() return value in ('true', '1', 'yes', 'on') # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/5.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = os.getenv('SECRET_KEY', 'django-insecure-default-key') # SECURITY WARNING: don't run with debug turned on in production! # 安全优先：默认为 False，开发环境需显式设置 DEBUG=True DEBUG = get_bool_env('DEBUG', False) ALLOWED_HOSTS = ['*'] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', # 第三方应用 'rest_framework', 'django_filters', # DRF 过滤器支持 'drf_yasg', 'corsheaders', 'channels', # WebSocket 支持 # 业务应用 'apps.common', # 通用工具 'apps.targets', # 扫描目标管理 'apps.scan', # 扫描任务管理 'apps.engine', # 扫描引擎管理 'apps.asset', # 资产管理 ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'corsheaders.middleware.CorsMiddleware', # CORS 中间件（必须在 CommonMiddleware 之前） 'django.middleware.common.CommonMiddleware', # 'django.middleware.csrf.CsrfViewMiddleware', # 已禁用 CSRF 校验 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'config.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [BASE_DIR / 'templates'], # 添加自定义模板目录 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'config.wsgi.application' # ASGI 应用配置（用于 WebSocket） ASGI_APPLICATION = 'config.asgi.application' # Database - PostgreSQL 配置 # https://docs.djangoproject.com/en/5.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': os.getenv('DB_ENGINE', 'django.db.backends.postgresql'), 'NAME': os.getenv('DB_NAME', 'xingrin'), 'USER': os.getenv('DB_USER', 'postgres'), 'PASSWORD': os.getenv('DB_PASSWORD', ''), 'HOST': os.getenv('DB_HOST', 'localhost'), 'PORT': os.getenv('DB_PORT', '5432'), # 连接池配置：针对长时间扫描任务优化 # 说明： # - 0: 每次请求后关闭（适合不稳定的远程连接） # - 60-120: 推荐值（平衡性能和资源占用） # - 300+: 适合长时间任务（减少连接重建开销） # - None: 永久连接（仅适合专用连接池，不推荐） 'CONN_MAX_AGE': int(os.getenv('DB_CONN_MAX_AGE', '60')), # 降低到 60 秒，更快检测失效连接 # Django 4.1+ 连接健康检查：每次使用前验证连接是否有效 # 解决 "server closed the connection unexpectedly" 问题 'CONN_HEALTH_CHECKS': True, # PostgreSQL 特定选项 - 针对远程数据库优化 'OPTIONS': { 'connect_timeout': 30, # 连接超时 30 秒（远程数据库需要更长时间） '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 'keepalives': 1, # 启用 TCP keepalive 'keepalives_idle': 30, # TCP keepalive 空闲时间 30 秒（更积极地检测断连） 'keepalives_interval': 10, # TCP keepalive 间隔 10 秒 'keepalives_count': 5, # TCP keepalive 重试次数 # 性能优化参数 'sslmode': 'disable', # 禁用SSL以减少连接延迟（如果网络安全可控） 'application_name': 'xingrin_scanner', # 标识应用名称，便于监控 } } } # Password validation # https://docs.djangoproject.com/en/5.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/5.2/topics/i18n/ LANGUAGE_CODE = os.getenv('LANGUAGE_CODE', 'zh-hans') TIME_ZONE = os.getenv('TIME_ZONE', 'Asia/Shanghai') USE_I18N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/5.2/howto/static-files/ STATIC_URL = 'static/' # Default primary key field type # https://docs.djangoproject.com/en/5.2/ref/settings/#default-auto-field DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField' # ==================== Worker API Key 配置 ==================== # Worker 节点认证密钥（从环境变量读取） WORKER_API_KEY = os.environ.get('WORKER_API_KEY', '') # ==================== REST Framework 配置 ==================== REST_FRAMEWORK = { 'DEFAULT_PAGINATION_CLASS': 'apps.common.pagination.BasePagination', # 使用基础分页器 # Session 认证（禁用 CSRF，前后端分离项目通过 CORS 控制跨域） 'DEFAULT_AUTHENTICATION_CLASSES': [ 'apps.common.authentication.CsrfExemptSessionAuthentication', ], # 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 'DEFAULT_PERMISSION_CLASSES': [ 'apps.common.permissions.IsAuthenticatedOrPublic', ], # 自定义异常处理器：统一 401/403 错误响应格式 'EXCEPTION_HANDLER': 'apps.common.exception_handlers.custom_exception_handler', # JSON 命名格式转换：后端 snake_case ↔ 前端 camelCase 'DEFAULT_RENDERER_CLASSES': ( 'djangorestframework_camel_case.render.CamelCaseJSONRenderer', # 响应数据转换为 camelCase 'djangorestframework_camel_case.render.CamelCaseBrowsableAPIRenderer', # 浏览器 API 也使用 camelCase ), 'DEFAULT_PARSER_CLASSES': ( 'djangorestframework_camel_case.parser.CamelCaseJSONParser', # 请求数据从 camelCase 转换为 snake_case 'djangorestframework_camel_case.parser.CamelCaseFormParser', # 表单数据也支持转换 'djangorestframework_camel_case.parser.CamelCaseMultiPartParser', # 文件上传支持转换 ), # 转换配置 'JSON_UNDERSCOREIZE': { 'no_underscore_before_number': True, # 数字前不加下划线 (field1 不会变成 field_1) }, } # ==================== CORS 配置 ==================== # 允许所有来源（前后端分离项目，安全性由认证系统保障） CORS_ALLOW_ALL_ORIGINS = os.getenv('CORS_ALLOW_ALL_ORIGINS', 'True').lower() == 'true' CORS_ALLOW_CREDENTIALS = True # 暴露额外的响应头给前端（Content-Disposition 用于文件下载获取文件名） CORS_EXPOSE_HEADERS = ['Content-Disposition'] # ==================== CSRF 配置 ==================== CSRF_TRUSTED_ORIGINS = os.getenv('CSRF_TRUSTED_ORIGINS', 'http://localhost:3000,http://127.0.0.1:3000').split(',') # ==================== Session 配置 ==================== SESSION_COOKIE_AGE = 60 * 60 * 24 * 7 # 7 天 SESSION_COOKIE_HTTPONLY = True SESSION_COOKIE_SAMESITE = 'Lax' # 跨站请求时发送 cookie # ==================== 扫描结果存储和清理配置 ==================== # 扫描结果存储目录（智能路径配置） _scan_results_dir_env = os.getenv('SCAN_RESULTS_DIR') if _scan_results_dir_env: # 使用环境变量指定的路径（支持相对和绝对路径） if os.path.isabs(_scan_results_dir_env): SCAN_RESULTS_DIR = _scan_results_dir_env # 绝对路径 else: SCAN_RESULTS_DIR = str(BASE_DIR / _scan_results_dir_env) # 相对路径转绝对路径 else: # 默认使用项目目录下的 results 文件夹 SCAN_RESULTS_DIR = str(BASE_DIR / 'results') # 扫描结果保留时间（单位：天） SCAN_RESULTS_RETENTION_DAYS = int(os.getenv('SCAN_RETENTION_DAYS', '3')) # ==================== Redis 配置 ==================== # Redis 配置（用于 WebSocket Channel Layer） REDIS_HOST = os.getenv('REDIS_HOST', 'localhost') REDIS_PORT = int(os.getenv('REDIS_PORT', 6379)) REDIS_DB = int(os.getenv('REDIS_DB', 0)) # Channels Layer 配置（WebSocket 后端） CHANNEL_LAYERS = { 'default': { 'BACKEND': 'channels_redis.core.RedisChannelLayer', 'CONFIG': { 'hosts': [(REDIS_HOST, REDIS_PORT)], 'capacity': 1500, # 单个通道最大消息数 'expiry': 10, # 消息过期时间（秒） }, }, } # ==================== 日志配置 ==================== # 日志配置说明： # 1. 开发环境（DEBUG=True）： # - 默认 DEBUG 级别，输出详细调试信息 # - 控制台彩色输出，便于调试 # - 可选文件输出（配置 LOG_DIR） # # 2. 生产环境（DEBUG=False）： # - 默认 INFO 级别，只输出关键信息 # - 同时输出到控制台和文件（配置 LOG_DIR） # - 文件自动轮转，避免日志文件过大 # # 3. 环境变量控制： # - LOG_LEVEL: 全局日志级别（DEBUG/INFO/WARNING/ERROR/CRITICAL） # - LOG_DIR: 日志文件目录（留空则不输出文件） # from config.logging_config import get_logging_config LOGGING = get_logging_config(debug=DEBUG) # 命令执行日志开关（供 apps.scan.utils.command_executor 使用） ENABLE_COMMAND_LOGGING = get_bool_env('ENABLE_COMMAND_LOGGING', True) # ==================== 数据目录配置（统一使用 /opt/xingrin） ==================== # 所有数据目录统一挂载到 /opt/xingrin，便于管理和备份 # 扫描工具基础路径（worker 容器内，符合 FHS 标准） # 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 SCAN_TOOLS_BASE_PATH = os.getenv('SCAN_TOOLS_PATH', '/opt/xingrin-tools/bin') # 字典文件基础路径 WORDLISTS_BASE_PATH = os.getenv('WORDLISTS_PATH', '/opt/xingrin/wordlists') # 指纹库基础路径 FINGERPRINTS_BASE_PATH = os.getenv('FINGERPRINTS_PATH', '/opt/xingrin/fingerprints') # Nuclei 模板仓库根目录（存放 git clone 的仓库） NUCLEI_TEMPLATES_REPOS_BASE_DIR = os.getenv('NUCLEI_TEMPLATES_REPOS_DIR', '/opt/xingrin/nuclei-repos') # Nuclei 模板基础路径（custom / public 两类模板目录，已废弃，保留兼容） NUCLEI_CUSTOM_TEMPLATES_DIR = os.getenv('NUCLEI_CUSTOM_TEMPLATES_DIR', '/opt/xingrin/nuclei-templates/custom') NUCLEI_PUBLIC_TEMPLATES_DIR = os.getenv('NUCLEI_PUBLIC_TEMPLATES_DIR', '/opt/xingrin/nuclei-templates/public') # Nuclei 官方模板仓库地址 NUCLEI_TEMPLATES_REPO_URL = os.getenv('NUCLEI_TEMPLATES_REPO_URL', 'https://github.com/projectdiscovery/nuclei-templates.git') # 对外访问主机与端口（供 Worker 访问 Django 使用） PUBLIC_HOST = os.getenv('PUBLIC_HOST', 'localhost').strip() PUBLIC_PORT = os.getenv('PUBLIC_PORT', '8083').strip() # 对外 HTTPS 端口 SERVER_PORT = os.getenv('SERVER_PORT', '8888') # ============================================ # 任务分发器配置（负载感知调度） # ============================================ # Docker 镜像版本配置（统一管理，确保所有组件版本一致） DOCKER_USER = os.getenv('DOCKER_USER', 'yyhuni') IMAGE_TAG = os.getenv('IMAGE_TAG', '') # 任务执行器镜像配置（task_distributor 用于创建 worker 容器执行扫描任务） # # 版本一致性说明： # - 生产环境：IMAGE_TAG 锁定版本，确保 server 和 worker 版本一致 # - 开发环境：可通过 TASK_EXECUTOR_IMAGE 环境变量指向本地构建镜像 # # 环境区分逻辑： # 1. 主服务器环境： # - 有 IMAGE_TAG 环境变量（从 docker/.env 读取，install.sh 写入） # - 需要 TASK_EXECUTOR_IMAGE 来创建 worker 容器执行任务 # - 默认使用 {DOCKER_USER}/xingrin-worker:{IMAGE_TAG}（版本锁定） # - 开发时可设置 TASK_EXECUTOR_IMAGE=本地镜像名 覆盖 # # 2. Worker 容器环境： # - 无 IMAGE_TAG 环境变量（容器启动时未注入） # - 无 .env 文件 # - 不需要 TASK_EXECUTOR_IMAGE（worker 只执行任务，不会再创建其他容器） # - 设为空字符串避免 AttributeError，确保 settings 模块正常加载 # # 开发环境配置示例： # 在 docker/.env 中添加：TASK_EXECUTOR_IMAGE=docker-agent:test-v1.0.0 if IMAGE_TAG: # 主服务器场景：构建完整镜像名 TASK_EXECUTOR_IMAGE = os.getenv('TASK_EXECUTOR_IMAGE', f'{DOCKER_USER}/xingrin-worker:{IMAGE_TAG}') else: # Worker 容器场景：空值，防止加载错误 TASK_EXECUTOR_IMAGE = os.getenv('TASK_EXECUTOR_IMAGE', '') # 任务提交间隔（秒）- 防止短时间内重复分配到同一节点 # 应大于心跳间隔（3秒），确保负载数据已更新 TASK_SUBMIT_INTERVAL = int(os.getenv('TASK_SUBMIT_INTERVAL', '6')) # 本地 Worker Docker 网络名称（与 docker-compose.yml 中定义的一致） DOCKER_NETWORK_NAME = os.getenv('DOCKER_NETWORK_NAME', 'xingrin_network') # 宿主机挂载源路径（所有节点统一使用固定路径） # 部署前需创建：mkdir -p /opt/xingrin HOST_RESULTS_DIR = '/opt/xingrin/results' HOST_LOGS_DIR = '/opt/xingrin/logs' HOST_FINGERPRINTS_DIR = '/opt/xingrin/fingerprints' HOST_WORDLISTS_DIR = '/opt/xingrin/wordlists' # ============================================ # Worker 配置中心（任务容器从 /api/workers/config/ 获取） # ============================================ # Worker 数据库地址由 worker_views.py 的 config API 动态返回 # 根据请求来源（本地/远程）返回不同的配置： # - 本地 Worker（Docker 网络内）：使用内部服务名 postgres # - 远程 Worker（公网访问）：使用 PUBLIC_HOST # # 注意：Redis 仅在 Server 容器内使用，Worker 不需要直接连接 Redis _db_host = DATABASES['default']['HOST'] _is_internal_db = _db_host in ('postgres', 'localhost', '127.0.0.1') WORKER_DB_HOST = os.getenv('WORKER_DB_HOST', _db_host) # 容器内挂载目标路径（统一使用 /opt/xingrin） CONTAINER_RESULTS_MOUNT = '/opt/xingrin/results' CONTAINER_LOGS_MOUNT = '/opt/xingrin/logs' ================================================ FILE: backend/config/urls.py ================================================ """ URL configuration for config project. The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/5.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, include from drf_yasg.views import get_schema_view from drf_yasg import openapi from apps.scan.notifications.views import NotificationSettingsView # API 文档配置 schema_view = get_schema_view( openapi.Info( title="XingRin API", default_version='v1', description="Web 应用侦察工具 API 文档", ), public=True, ) urlpatterns = [ # Django 后台管理 path('admin/', admin.site.urls), # API 文档 path('api/swagger/', schema_view.with_ui('swagger', cache_timeout=0), name='swagger'), path('api/redoc/', schema_view.with_ui('redoc', cache_timeout=0), name='redoc'), # 业务 API（包含 organizations 和 targets） path('api/', include('apps.targets.urls')), # 扫描 API path('api/', include('apps.scan.urls')), # 引擎 & Worker API path('api/', include('apps.engine.urls')), # 资产 API path('api/', include('apps.asset.urls')), # 通知 API path('api/notifications/', include('apps.scan.notifications.urls')), # 通知设置 API path('api/settings/notifications/', NotificationSettingsView.as_view(), name='notification-settings'), # 认证 API path('api/', include('apps.common.urls')), ] ================================================ FILE: backend/fingerprints/ARL.yaml ================================================ - name: CISCO-RV016-VPN-Router_header rule: header="realm=\"rv016" - name: Sangfor-Data-Center_header rule: 'header="location: ./src/acloglogin.php"' - name: 天融信运维监控平台_header rule: header="天融信运维监控平台" - name: Metaswitch-Networks-MetaView-Web_body rule: body="content='dcl.metaview.web.client'" && body="src=\"dcl.metaview.web.client.nocache.js\">" - name: TP-LINK Wireless WR743ND_header rule: header="TP-LINK Wireless WR743ND" - name: Handle Proxy_icon_hash rule: icon_hash="926501571" - name: MDaemon Webmail_icon_hash rule: icon_hash="-766957661" - name: EFM-Networks-ipTIME-T16000_body rule: body="src=\"/images2/login_title.t16000.gif\"" - name: Sangfor-Data-Center_body rule: body="acloglogin.php" - name: Jana-Server_header rule: header="Jana-Server" - name: Goblin_header rule: header="Goblinserver:" - name: ADB Broadband S.p.A. (Network)_icon_hash rule: icon_hash="-587741716" - name: TP-LINK VPR400VPN_header rule: header="TP-LINK VPR400VPN" - name: Sqreen_header rule: header="Sqreen" - name: VMware ESXi_header rule: header="VMware ESXi" - name: LabVIEW_header rule: 'header="server: labview" && header="LabVIEW"' - name: mingyuanyun-Sales_body rule: body="value=\"明源售楼管理系统v5.0\"" && body="<img id=\"erp\" src=\"/_imgs/login/zs_erp.png" - name: AutoiPacket Webserver_header rule: header="AutoiPacket Webserver" - name: Apache-Dubbo_header rule: header=" basic realm=\"dubbo\"" - name: 华为_HUAWEI_ASG2050_header rule: header="HUAWEI ASG2050" - name: orangehrm_header rule: header="orangehrm" - name: Mattermost_header rule: header="Mattermost" - name: Lotus-Domino_header rule: header="Server:Lotus-Domino" - name: 加速乐CDN_header rule: header="加速乐CDN" - name: Craigs CMS_header rule: header="Craigs CMS" - name: AXIS-70U_header rule: header="AXIS-70U" - name: Entrolink_icon_hash rule: icon_hash="1973665246" - name: truVision NVR (interlogix)_icon_hash rule: icon_hash="1782271534" - name: phpMoneyBooks_body rule: body="href='http://phpmoneybooks.com'>phpmoneybooks" - name: Influxdb_header rule: header="X-Influxdb" - name: 致远 M1_icon_hash rule: icon_hash="3080850296" - name: 金和 OA_body rule: body="金和网络" && body="Jinher Software" - name: eagleeyescctv_body rule: body="ip surveillance for your life" && body="/nobody/logindevice.js" && body="IP Surveillance for Your Life" && body="/nobody/loginDevice.js" - name: TP-LINK-TD-8840T_header rule: header="realm=\"td-8840t" - name: 网旗路由器管理系统_header rule: header="网旗路由器管理系统" - name: EFM-Networks-ipTIME-A604V_body rule: body="src=\"/images2/login_title.a604v.gif\"" - name: 致远 M1_body rule: body="M1-Server 已启动，您可以使用移动设备登录M1" - name: AliyunOSS_header rule: 'header="server: aliyunoss" && header="x-oss-request-id" && header="AliyunOSS"' - name: ChinaTelecomArrearsRecoveryManagementSystem_body rule: body="id=\"v_login_container\"" - name: linksys-am_header rule: header="linksys-am" - name: Zyxel ZyWALL_icon_hash rule: icon_hash="-484708885" - name: DELL-N2024_body rule: body="class=\"login_server_default\">n2024" - name: AVIOSYS-IP-Camera_body rule: body="copyright aviosys" && body="view log" - name: Polycom-SoundPoint_header rule: 'header="server: polycom soundpoint ip telephone httpd"' - name: eagleeyescctv_header rule: header="avtech" - name: dahua-WP_body rule: body="src=\"/wpms/asset/common/js/jsencrypt.min.js\"" - name: DolphinScheduler_body rule: body="let node_env = 'true'" && body="<title>dolphinscheduler" - name: SES-imagotag_body rule: body="href=\"/xsl/accesspoint.xsl\"" - name: sapido-router_body rule: body="/etop_home_menu_style.css" && body="/b28n.js" - name: 1C-Bitrix_header rule: header="1C-Bitrix" - name: Linksys-Queretaro_header rule: header="Linksys-Queretaro" - name: CopAdd400_body rule: body="科博安全隔离与信息单向导入系统" && body="page/downloadlinuxclient.is.run" - name: APC_Management_body rule: body="This object on the APC Management Web Server is protected" - name: APC_Management_header rule: header="APC Management Card" - name: Zenoss_body rule: body="/zport/dmd/" - name: AtClose Server_header rule: header="AtClose Server" - name: 用友-时空KSOA_body rule: body="/images_index/productKSOA.jpg" - name: 08cms_body rule: body="content=\"08CMS" && body="typeof(_08cms)" - name: B_LINK-APRouter_header rule: header="realm=\"b-link-aprouter" - name: LeTV-路由器_header rule: header="LeTV-路由器" - name: 强讯科技 TalenTel_Log在线录音监听系统_header rule: header="强讯科技 TalenTel_Log在线录音监听系统" - name: Lenovo-Printer_body rule: body="" - name: Pushgateway_body rule: body="Pushgateway" - name: Sitecom-NAS_header rule: header="realm=\"sitecom login enter password (default is sitecom" - name: Exponent-CMS_body rule: body="content=\"exponent content management system" && body="powered by exponent cms" && body="content=\"Exponent Content Management System" && body="Powered by Exponent CMS" - name: 飞鱼星 家用智能路由_title rule: title="飞鱼星家用智能路由" - name: Moxa VPort Devices_header rule: header="Moxa VPort Devices" - name: Linksys BEFW11S4_header rule: header="Linksys BEFW11S4" - name: ZEBRA-GX430t_body rule: body="ztc gx430t" - name: Fortinet-CoyotePoint-Load-Balancer_header rule: 'header="server: coyotepoint"' - name: 智能表综合管理系统_body rule: body="js/jsCore.js" && body="Ajax_Code/Login.ashx" && body="login.css" - name: 爱信诺开票服务器_body rule: body="aisino.kps.console" - name: phpMyBible_body rule: body="
" - name: SuperMap-iServer_body rule: body="window.location.href=\"iserver\";" && body="id=\"copyright\">" - name: Micool-Management-System_body rule: body="米酷影视 版权所有" && body="name=\"keywords\" content=\"电影,视频大全,在线高清电影,付费电影,免费电影,剧集,电影,在线观看,vip高清电影直播\"" && body="bplay.php?play=" - name: InstantCMS_header rule: header="InstantCMS" - name: Asterisk_body rule: body="asterisk_rawmanPath" - name: Boa-WebServer_header rule: 'header="server: boa"' - name: 5iKQ_body rule: body="content=\"我爱考勤云平台" && body="我爱考勤云平台" && body="" - name: Hybris_header rule: header="Hybris" - name: Eloqua_header rule: header="Eloqua" - name: Asterisk_header rule: header="Asterisk" - name: hw99-Checking_body rule: body="/hwface/script/logincheck.js" - name: Fusemail WEB server_header rule: header="Fusemail WEB server" - name: 用友NC_body rule: body="logo/images/ufida_nc.png" && body="用友NC" - name: Kerio WinRoute Firewall_header rule: header="Kerio WinRoute Firewall" - name: ASUS-RT-AC5300_header rule: header="rt-ac5300" - name: ASUS-RT-AC5300_body rule: body="
rt-ac5300" - name: Intrinsyc-deviceWEB_header rule: header="realm=\"intrinsyc deviceweb" && header="Intrinsyc deviceWEB" - name: WebSOC知道网站立体监控系统_header rule: header="WebSOC知道网站立体监控系统" - name: 安恒玄武盾_header rule: header="安恒玄武盾" - name: 新秀文章管理系统_header rule: header="新秀文章管理系统" - name: SHARP-XG-C435X_header rule: header="realm=\"xg-c435x" - name: ActiveHTML_header rule: header="activehtml" && header="ActiveHTML" - name: Amazon_icon_hash rule: icon_hash="716989053" - name: Dradis-Framework_body rule: body="

dradis" - name: ZyWALL-USG-50_body rule: body="

zywall usg 50" && body="multi_lingual" && body="model\">zywall usg 50" - name: Dradis-Framework_header rule: header="_dradis_session=" && header="_dradis_session=" - name: MobileIron MyPhone@Work_header rule: header="MobileIron MyPhone@Work" - name: UiN-Meeting_body rule: body="uin.plist" - name: Javadoc_header rule: header="Javadoc" - name: Tencent-Exmail_body rule: body="cgi-bin/getinvestigate?flowid=" && body="cgi-bin/bizmail_portal" && body="/cgi-bin/getinvestigate?flowid=" && body="/cgi-bin/bizmail_portal" && body="content=\"登录腾讯企业邮箱" - name: DVR-Systems-webcam_body rule: body="your client does not have permission to get url /index.htm from this server.\"" - name: ZLAN_body rule: body="href=\"http://www.zlmcu.com\">zlan" - name: Tencent-Exmail_header rule: header="ssl_edition=mail.qq.com" && header="ssl_edition=mail.qq.com" - name: 云业CMS(yunyecms)_body rule: body="云业CMS" && body="yunyecms" - name: 云业CMS(yunyecms)_header rule: header="云业CMS" && header="yunyecms" - name: Bentley-Systems-ProjectWise_header rule: header="bentley.websession=" && header="Bentley.WebSession=" - name: 8cms_body rule: body="http://www.itf4.cn" && body="liangjing.org" && body="/tpl/templets" - name: MyfCMS闵益飞内容管理系统_body rule: body="MyfCMS闵益飞内容管理系统" - name: NetGear DD-wrt_header rule: header="NetGear DD-wrt" - name: Bentley-Systems-ProjectWise_body rule: body="href=\"projectwise.ico" && body="href=\"ProjectWise.ico" - name: TP-LINK Wireless WA7510N_header rule: header="TP-LINK Wireless WA7510N" - name: DrayTek-Vigor-Router_body rule: body="draytek corp. all rights reserved." && body="login to the router web configurator" - name: DrayTek-Vigor-Router_header rule: 'header="server: vigoraccess web server" && header="realm=\"login to the router web configurator"' - name: ALIYUN-RDS-API_body rule: body="href=\"system!stat.jspa" - name: Apache-Wicket_body rule: body="xmlns:wicket=" && body="/org.apache.wicket." && body="xmlns:wicket=" - name: Mihalism-Multi-Host_body rule: body="http://www.mihalism.com/product/mmh/\">mihalism multi host" && body="powered by mihalism multi host" && body="content=\"mihalism multi host" - name: RAISECOM-ISCOM2608G_body rule: body="color=\"#000000\">iscom2608g" - name: EFM-Networks-ipTIME-A2004R_body rule: body="src=\"/images2/login_title.a2004r.gif\"" - name: Moodle_icon_hash rule: icon_hash="-438482901" - name: cnzz_body rule: body="cnzz.com/stat.php?id=" - name: Moodle_header rule: header="moodlesession=" && header="moodleid_" - name: Moodle_body rule: body="title=\"moodle\" href=\"http://moodle.org/" && body="moodle" && body="moodle\":" - name: SourceCode-K2_body rule: body="document.getelementbyid(\"redirectform\".action = \"../mxworkspace/login.aspx" && body="document.getelementbyid(\"redirectform\".action = \"../workspace/default.aspx" - name: elasticsearch_body rule: body="You Know, for Search" - name: Kentico CMS_header rule: header="Kentico CMS" - name: SiteServer_body rule: body="http://www.siteserver.cn" && body="siteserver cms" && body="http://www.siteserver.cn" && body="T_系统首页模板" - name: NETGEAR DM111P_header rule: header="NETGEAR DM111P" - name: SCALANCE W_header rule: header="SCALANCE W" - name: TP-LINK R478_header rule: header="TP-LINK R478" - name: MyWebsite_header rule: header="MyWebsite" - name: Aisino-Telecom_body rule: body="航天信息股份有限公司 电信行业版" - name: NETGEAR MBR1515_header rule: header="NETGEAR MBR1515" - name: Axway-SecureTransport_header rule: header="securetransport" && header="SecureTransport" - name: Textcube_header rule: header="Textcube" - name: Netposa-Company's-product_body rule: 'body="

万解 - 东方网力:

" && body="东方网力科技股份有限公司" && body="关于我们" && body="东方网力科技股份有限公司"' - name: DIGI-TransPort-WR11_body rule: body="class=\"heading\">transport wr11" - name: JianHengXinAn-JH-LAS_body rule: body="jh-la3600" && body="建恒信安日志审计系统" - name: UC-FAX_body rule: body=" href=\"web/css/faxcss.css\"" && body="src=\"web/img/log/logo-faxlogin.gif\"" - name: DevelopWay DW CMS_header rule: header="DevelopWay DW CMS" - name: TP-LINK Wireless WR641G/642G_header rule: header="TP-LINK Wireless WR641G/642G" - name: DLink-Internet-Camera_header rule: header="d-link internet camera" - name: NETGEAR DGN3500B_header rule: header="NETGEAR DGN3500B" - name: itenable_body rule: body="/enableq.css" && body="js/checkquestion.js.php" && body="/images/enableq.ico" - name: Npoint_body rule: body="content=\"n点虚拟主机管理系统" && body="js/ajax_x.js" && body="/inc/usercode.asp?npoint=" - name: 天源迪科和动力优品馆管理平台_header rule: header="天源迪科和动力优品馆管理平台" - name: Apache-Guacamole_body rule: body="images/guacamole-logo" && body="guacamole - clientless remote desktop" && body="scripts/guac-ui.js" - name: zychr-CMS_body rule: body="powered by zychr.com" - name: 中国期刊先知网_body rule: body="本系统由" - name: VNC-Enterprise-_header rule: 'header="server: vnc server enterprise edition"' - name: CSmail_header rule: header="CSmail" - name: MathJax_header rule: header="MathJax" - name: ewei-Plagform_body rule: body="易维平台" - name: reolink-NVR_body rule: body="balanced" - name: Jakarta-Project_body rule: body="alt=\"the jakarta project" && body="" - name: ownCloud_icon_hash rule: icon_hash="-1616115760" - name: ownCloud_header rule: header="ownCloud" - name: Uniview-VM8500_body rule: body="vm8500-imos110" - name: CancoSoft-asset-Management_body rule: body="var path = \"/cassets\";" - name: Honeywell-Intermec-EasyLAN_body rule: body="color=\"black\" size=\"5\">intermec easylan" - name: Honeywell-Intermec-EasyLAN_header rule: 'header="server: xcd webadmin"' - name: eyoucms_body rule: body="powered by eyoucms" && body="name=\"generator\" content=\"eyoucms" - name: NetPort_header rule: 'header="server: netport software" && header="power by netport"' - name: ZyXEL-Keenetic_header rule: header="realm=\"zyxel keenetic" - name: IBM-Watchfire_header rule: 'header="set-cookie: watchfiresessionid"' - name: ICEFLOW VPN Router_title rule: title="ICEFLOW VPN Router" - name: TP-LINK R470T+_header rule: header="TP-LINK R470T+" - name: Dahua_icon_hash rule: icon_hash="2828182062" - name: Yii-Framework_body rule: body="get started with yii" - name: pcitc-SSLVPN_body rule: body="src=\"new_style/placeholderfriend.js\"" - name: Moxa_NPort_5150A_body rule: body="5150A" - name: Linksys LCAM0336OD_header rule: header="Linksys LCAM0336OD" - name: Yii-Framework_header rule: header="yii_csrf_token" - name: TurboMail 邮件系统_body rule: body="TurboMail" && body="mailmain?type=login" - name: 锐捷交换机-睿易_body rule: body="cgi-bin/luci" && body="#f47f3e" - name: 西部数码CDN_header rule: header="西部数码CDN" - name: DELL-N1148T-ON_body rule: body="class=\"login_server_default\">n1148t-on" - name: SonicWALL-Company's-product_header rule: 'header="server: sonicwall"' - name: TRSMAS_header rule: header="X-Mas-Server" - name: Moxa_NPort_5150A_header rule: header="MoxaHttp" - name: SumoMe_header rule: header="SumoMe" - name: Linksys WRV54G_header rule: header="Linksys WRV54G" - name: 任子行 任天行网络安全管理系统_header rule: header="任子行 任天行网络安全管理系统" - name: 360-TianQing_body rule: body="/task/index/detail?id={item.id}" && body="已过期或者未授权，购买请联系4008-136-360" - name: Bicesoft-Super-Custom-Survey-Voting-System_body rule: body="href=\"images/bicesoft.css\"" && body="佰思超强自定义问卷调查系统(bicesoft.com" - name: Yzncms内容管理系统_header rule: header="Yzncms内容管理系统" - name: Yoast SEO_header rule: header="Yoast SEO" - name: etungtech-routers_body rule: body="cgi-bin/cgibox.cgi" && body="./img/logo.jpg" - name: Apache-Airflow_body rule: body="src=\"/static/pin_100.png\"" && body="airflow" - name: FNET HTTP - Freescale Embedded Web Server_header rule: header="FNET HTTP - Freescale Embedded Web Server" - name: Kerio-WinRout-Firewall_body rule: body="style/bodynonauth.css" && body="/gfx/kerio_logo.gif" - name: NETGEAR DGN2000B_header rule: header="NETGEAR DGN2000B" - name: Tenon-iTools_header rule: header="itools" && header="mac os x" - name: 乔客建站专家_Joekoe_CMS_body rule: body="乔客建站专家_Joekoe_CMS" - name: WEONLYDO-Product_header rule: 'header="server: weonlydo"' - name: Kerio-WinRout-Firewall_header rule: header="kerio winroute firewall" - name: Ruckus Wireless Router_header rule: header="Ruckus Wireless Router" - name: 博库 医院在线考试系统_header rule: header="博库 医院在线考试系统" - name: Sonatype Nexus Repository Manager_icon_hash rule: icon_hash="-1546574541" - name: Ajenti-Server-Admin-Panel_body rule: body="src=\"/ajenti:static/" && body="action=\"/ajenti:auth\"" - name: Hanwha-SRN-K3470S_body rule: body="$.nvr.model_name=\"srn-k3470s\"" - name: Plesk 面板_icon_hash rule: icon_hash="4160592263" - name: CISCO-M680_body rule: body="alt=\"cisco m680\"" - name: USP-Secure-Entry-Server_header rule: header="secure entry server" - name: dayrui系列产品_body rule: body="dayrui/statics" - name: ZoneMinder_body rule: body="zoneminder login" && body="ZoneMinder Login" - name: dayrui系列产品_header rule: header="dr_ci_session" - name: Linksys-MIR_header rule: header="Linksys-MIR" - name: JSEcoin_header rule: header="JSEcoin" - name: Doyo建站系统_header rule: header="Doyo建站系统" - name: NSFOCUS VPN_header rule: header="NSFOCUS VPN" - name: 汉得SRM_title rule: title="汉得SRM云平台" - name: Angular IO (AngularJS)_icon_hash rule: icon_hash="3039619512" - name: Sitellite_header rule: header="Sitellite" - name: Novell-iChain_body rule: body="src=\"ichainerrors/alertbar.gif" - name: SOPHOS-UTM220_body rule: body="var own_status" - name: TRENDnet-TV-IP312PI_header rule: header="realm=\"tv-ip312pi" - name: Deluge_icon_hash rule: icon_hash="944969688" - name: WLCMS_body rule: body="WLCMS" - name: NETCORE NR238_header rule: header="NETCORE NR238" - name: EFM-Networks-ipTIME-N704M_body rule: body="src =\"/images2/login_title.n704m.gif\"" && body="src =\"/images2/login_title.n704mlg.gif\"" - name: Novell-iChain_header rule: header="host name received is not for this web site" - name: MagicMail_body rule: body="/aboutus/magicmail.gif" - name: TP-LINK Wireless WR702N_header rule: header="TP-LINK Wireless WR702N" - name: Pimcore_header rule: header="Pimcore" - name: Sophos-Cyberoam-Product_body rule: body="href=\"http://www.cyberoam.com\" target=\"_blank\">www.cyberoam.com" - name: NETCORE-NAC_body rule: body="script/netcore.js" && body="./script/logic.js" && body="netis" - name: ifw8-Router_body rule: body="/index.htm?page=" && body="images/login-logo.png" && body="www.ifw8.cn" - name: Pc4Uploader_body rule: body="powered by pc4uploader" && body="pc4uploader qx200" - name: FITELnet-Router_header rule: 'header="server: gr-httpd server" && header="GR-HTTPD Server"' - name: Canon-MX720-series_body rule: body="nowrap>canon mx720 series" - name: naxsi_header rule: 'header="x-data-origin: naxsi"' - name: TP-LINK-Wireless-Router_body rule: body="javascript:gourl('http://www.tp-link.com.cn';" - name: Runda-Supervisory-Platform_body rule: body="class=\"log_rbox\"" - name: OpenVPN_icon_hash rule: icon_hash="396533629" - name: ZmCMS通用性企业网站建设管理系统_body rule: body="ZmCMS通用性企业网站建设管理系统" - name: Cisco ACE_header rule: header="ACE XML Gateway" - name: OpenVPN_header rule: header="realm=\"openvpn" - name: NETGEAR MBR1210_header rule: header="NETGEAR MBR1210" - name: FLIR AX8_header rule: header="FLIR AX8" - name: EnGenius-Switch_body rule: body="conner_basic conner_gdl" - name: NETGEAR C3000-100NAS_header rule: header="NETGEAR C3000-100NAS" - name: WebRAY Web应用防护系统_header rule: header="WebRAY Web应用防护系统" - name: IBM-Chassis-management_body rule: body=",\"chassis_name\":" - name: fengcms_body rule: body="Powered by FengCms" && body="content=\"FengCms" - name: Advanced Electron Forum_header rule: header="aefsid" - name: fluentd_header rule: header="fluentd" - name: Netsys_header rule: header="Netsys" - name: CISCO-Prime-Network-Registrar_body rule: body="productname=\"network registrar" - name: D_Link-DSR-150_body rule: 'body="
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  • nbg6616
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width: 200px; z-index: 2\">" && body="//切换iframe 函数0-视频、录像；1-参数、日志"' - name: Etano_body rule: body="Powered by
    " && body="swagger-ui.css" && body="swagger-ui.js" - name: yadongsoft-FS3_body rule: body="神盾fs3文档安全共享系统v2.0
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    datum tymserve" && body="

    Datum TymServe" - name: AV-TECH AV787 Video Web Server_header rule: header="AV-TECH AV787 Video Web Server" - name: Barracuda-Backup-Server_header rule: header="backup_local_locale" && header="BACKUP_LOCAL_LOCALE" - name: Dahua-Cameras-and-Surveillance_header rule: 'header="server: dahua drs"' - name: tyxdgroup-Monitor_body rule: body="login.ashx?mode=valid" - name: ValleyCMS_body rule: body="href=\"viewcmscac.do" && body="href=\"/viewcmscac.do" - name: zoomnetcom-WLAN_body rule: body="var url=\"resetwebsvr.php?act=reset\";" && body="中太数据 - 集中无线控制器" - name: MaxSite CMS_header rule: header="MaxSite CMS" - name: Avaya Media Server_header rule: header="Avaya Media Server" - name: Cisco-IOS-XR_header rule: header="cisco ios-xr" - name: Dahua-Cameras-and-Surveillance_body rule: body="id=\"search_card_label\" for=\"search_plateenable\">车牌号码" && body="dahuartsp" && body="var g_isdeviceinited = true" && body="widget/js/jquery.ui.widget.js" && body="title::com_menu.title_setup" && body="css/playbackindex.css" && body="class=\"j_content j_min_width\"" && body="j_sub_con j_loginbox" && body="overflow:hidden;background-color" && body="js/urlparser.js" && body="id=\"lab_loading\" class=\"j_load_p" && body="src=\"/cap.js\"" && body="'nav_margin'.style.visibility = 'visible" && body="web service" && body="/css/oem.css" && body="loginfoot\">web视频监控系统" && body="webapp.ability.getwebcap('showgb28181client'" && body="class=\"ui-tip-container\" id=\"remark_modu\"" && body="class=\"login_inputbox ui-input fn-width163\"" && body="tl(\"huazhonghua\"" && body="var g_isdeviceinited = true" && body="widget/js/jquery.ui.widget.js" && body="title::com_menu.title_setup" && body="css/playbackindex.css" && body="class=\"j_content j_min_width\"" && body="j_sub_con j_loginbox" && body="overflow:hidden;background-color" && body="js/urlparser.js" && body="id=\"lab_loading\" class=\"j_load_p" && body="src=\"/cap.js\"" && body="'nav_margin'.style.visibility = 'visible" && body="web service" && body="/css/oem.css" && body="loginfoot\">web视频监控系统" && body="webapp.ability.getwebcap('showgb28181client'" && body="class=\"ui-tip-container\" id=\"remark_modu\"" && body="class=\"login_inputbox ui-input fn-width163\"" && body="tl(\"huazhonghua\"" - 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name: Sogou-Webmaster-Platform_body rule: body="sogou_site_verification" - name: Foswiki_header rule: header="Foswiki" - name: TP-LINK Wireless WR340G_header rule: header="TP-LINK Wireless WR340G" - name: Riskified_header rule: header="Riskified" - name: SONY-BRC-H800_header rule: header="realm=\"brc-h800" - name: Splunk_body rule: body="splunk.util.normalizeboolean" - name: TOTO_LINK-N200RS+_body rule: body="src =\"/images/login_back_n200rs.gif\"" - name: WatchGuard-Firewall_header rule: header="basic realm=\"watchguard" && header="digest realm=\"watchguard" - name: Jobsite CMS_header rule: header="Jobsite CMS" - name: Company's-product_body rule: body="辽宁瑞思科技有限公司    版权所有" - name: JEUS_header rule: header="Jeus WebContainer" - name: Mashery-Proxy_header rule: 'header="server: mashery proxy" && header="x-mashery-"' - name: GeoNode_body rule: body="powered by bpm" - name: javashop_body rule: body="易族智汇javashop" && body="javashop微信公众号" && body="content=\"JavaShop" - name: Daisy_header rule: header="x-daisy-version" - name: IP-CAMERA_body rule: body="classid='clsid:67f77f18-5272-4875-b983-c7e8af5517e4' codebase='/ocxctrlsvac.cab" && body="#max{background:url(svac.png;width:121px;float:right}" && body="clientbin/vimicro.silverlight.video.xap" - name: D-Link (Network)_icon_hash rule: icon_hash="-2031183903" && icon_hash="1081719753" - name: WiseGrid慧敏应用交付网关_icon_hash rule: icon_hash="910523681" - name: 泛微 OA_icon_hash rule: icon_hash="1578525679" && icon_hash="1578525679" - name: Linksys-CIT400_header rule: header="Linksys-CIT400" - name: TP-LINK R480T_header rule: header="TP-LINK R480T" - name: PegaRULES_header rule: header="pega-rules=" - name: TSM_body rule: body="var url = getcontextname( + \"?service=ajaxdirect/1/" - name: Alcatel_Lucent-OS9900_body rule: body="device os9900" - name: DzzOffice-Product_body rule: body="dzz/system/scripts/jquery.jstree.min.js" && body="dzz/scripts/dzz_min.js" && body=" 通过管理员分配的密码使用紧急入口。

    " - name: Play-Framework_header rule: header="play! framework" && header="Play! Framework" - name: EdgePrism_header rule: header="EdgePrism" && header="EdgePrismSSL" - name: CrushFTP_icon_hash rule: icon_hash="-1022206565" - name: Evo-Cam_body rule: body="value=\"evocam.jar" && body="iscom3048g" - name: Venustech-TianQing-Application-Security-Gateway_body rule: body="v2/global/vendor/modernizr/modernizr.js" && body="天清web应用安全网关" - name: MagicInfo Premium Server_header rule: header="MagicInfo Premium Server" - name: JAMIA AL HIND_header rule: header="JAMIA AL HIND" - name: Apache-Solr_body rule: body="SolrCore Initialization Failures" && body="ng-app=\"solrAdminApp\"" - name: Inout web Portal_header rule: header="Inout web Portal" - name: LifeSize-Video-Conferencing_body rule: body="src=\"js/swfobject.js" && body="src=\"js/lsjavascript.js" - name: 1039家校通_header rule: header="1039家校通" - name: D_Link-DSR-150N_body rule: 'body="
    product page: dsr-150n"' - name: 华为_HUAWEI_SRG1220_header rule: header="HUAWEI SRG1220" - name: 快网CDN_header rule: header="快网CDN" - name: 将博CMS(JumboTCMS)_body rule: body="将博CMS" && body="JumboTCMS" - name: ZyXEL VMG1312-B10D_header rule: header="ZyXEL VMG1312-B10D" - name: BITMAIN-antminer_header rule: header="realm=\"antminer" - name: 将博CMS(JumboTCMS)_header rule: header="将博CMS" && header="JumboTCMS" - name: SuperSalon-POS_header rule: header="realm=\"supersalon pos" - name: SimpleHTTP_header rule: header="SimpleHTTP" - name: Gridea_body rule: body="Gridea" - name: 昆石网络 VOS2009_header rule: header="昆石网络 VOS2009" - name: 牛NIUCMS本地O2O系统_header rule: header="牛NIUCMS本地O2O系统" - name: WebCTRL_header rule: header="WebCTRL" - name: H3C-5900-G3_body rule: body="5900-g3" - name: H3C-5900-G3_header rule: header="5900-g3" - name: ShareTech-NU-860H_body rule: body="sharetech information co., ltd" - name: shanshanes-System_body rule: body="杉杉储能监控平台" && body="amap.mousetool,amap.districtsearch" && body="/dist/libs/layui/css/layui.css" - name: Hanwha-SND-7084_body rule: body="var defaultfilename = \"snd-7084\"" - name: UBNT_UniFi系列路由_body rule: body="
    " - name: 同为数码网络摄像头_header rule: header="同为数码网络摄像头" - name: Polymer_header rule: header="Polymer" - name: AutoIndex-PHP-Script_body rule: body="title=\"autoindex default" && body="autoindex.sourceforge.net/" - name: AirLink-modem_header rule: header="modem@airlink.com" - name: NetGear WNHD3004v2_header rule: header="NetGear WNHD3004v2" - name: Linksys BEFSR41C-JP_header rule: header="Linksys BEFSR41C-JP" - name: 用友-UFIDA-NC_body rule: body="nc.sfbase.applet.NCApplet.class" - name: cradlepoint-IBR1150LP6_body rule: body="cplogin.model = \"ibr1150lp6\";" - name: GoCDN_header rule: header="gocdn" - name: SumlyCMS_header rule: header="SumlyCMS" - name: SAMSUNG-Wireless-Enterprise_body rule: body="

    wireless enterprise manager

    " - name: 璐华RuvarHRM_header rule: header="璐华RuvarHRM" - name: Ghost (CMS)_icon_hash rule: icon_hash="-1015932800" && icon_hash="-1231681737" - name: EFM-Networks-ipTIME-N604plus-i_body rule: body="src=\"/images2/login_title.n604pi.gif\"" - name: Tiandy-Cameras-and-Surveillance_body rule: body="name=\"tiandyvideo\" id=\"nvsvideo\"" && body="" && body="refresh\" content=\"0;url=http:" && body="/index.html\"> " - name: ZTE-IAD_body rule: body="/image/banner_I532.jpg" && body="/image/I202.gif" - name: NETGEAR DGN2200M_header rule: header="NETGEAR DGN2200M" - name: phpwind_body rule: body="content=\"phpwind" && body="phpwind" - name: HuaWei-Enterprise-proxy-server_body rule: body="huawei technologies co., ltd." && body="" - name: Linksys WAG120N_header rule: header="Linksys WAG120N" - name: 博华网龙信息安全一体机_title rule: title="博华网龙信息安全一体机" - name: DAVOLINK-Router_header rule: 'header="set-cookie: acookie="' - name: Norton-Cloud-Connect_body rule: 'body="

    norton cloud connect

    "' - name: HOPERUN-HR_body rule: body="src=./static/js/manifest" && body="考核评测系统" - name: NetScaler(Citrix Systems)_body rule: body="NetScaler" && body="Citrix Systems" - name: TOPSEC-VPN_body rule: body="window.location=\"/portal_default/index.html\";" && body="window.location.href=\"/vone/pub/pda.html\";" - name: TOPSEC-VPN_header rule: header="topsecsvportalname=" - name: Apache HBase_header rule: header="Apache HBase" - name: Airform_header rule: header="Airform" - name: phpwms_header rule: header="phpwms" - name: RAISECOM-Router_body rule: body="var lang = document.getelementsbyname(\"sradioindex\"" - name: 耶恩内容管理系统(yeencms)_header rule: header="耶恩内容管理系统" && header="yeencms" - name: 华测监测预警系统_icon_hash rule: icon_hash="3666737803" - name: Hanwha-SRN-4000_body rule: body="$.nvr.model_name=\"srn-4000\"" - name: TweenMax_header rule: header="TweenMax" - name: hphu-System_body rule: body="id='psssdiv'" && body="src='kss_inc/js/jquery.1.3.2.pack.js'" - name: NETGEAR-R6400_body rule: body="netgear r6400" && body="content=\"r6400\"" - name: NETGEAR-R6400_header rule: header="netgear r6400" - name: PHPWEB_body rule: body="pdv_pagename" - name: Novell-Sentinel-Log-Manager_body rule: body="title=\"novell sentinel log manager" && body="content=\"0;url=/novelllogmanager\">" - name: EDIMAX_body rule: body="content=\"Edimax" - name: Orchard CMS_header rule: header="Orchard CMS" - name: HUAWEI MCU_header rule: header="HUAWEI MCU" - name: Ericsson-TV-Web-Server_header rule: 'header="server : ericsson television web server" && header="Ericsson Television Web server"' - name: 列目录_body rule: body="Index of /" && body=" - /" - name: Alcatel_Lucent-7250_header rule: header="realm=\"alcatel-lucent 7250" - name: APC-UPS-Management-Card_body rule: body="class=\"apclogo\"" && body="class=\"apclogo\"" - name: APC-UPS-Management-Card_header rule: header="apc management card" && header="network management card" && header="APC Management Card" - name: FormMail_body rule: body="href=\"http://www.worldwidemart.com/scripts/formmail.shtml" && body="/FormMail.pl" && body="href=\"http://www.worldwidemart.com/scripts/formmail.shtml" - name: IntelligentWarehouseManagementSystem_body rule: body="name=\"toolkitscriptmanager1_hiddenfield\"" && body="class=\"headernav\"" && body="event.srcelement.type!='reset" - name: phpBB_header rule: 'header="set-cookie: phpbb3_" && header="httponly, phpbb3_"' - name: MacroSAN_header rule: header="MacroSAN" - name: ZTE (Network)_icon_hash rule: icon_hash="1427976651" - name: 南方数据_body rule: body="/SouthidcKeFu.js" && body="CONTENT=\"Copyright 2003-2015 - Southidc.net" && body="/Southidcj2f.Js" - name: 5k-CRM_body rule: body="/public/js/5kcrm.js" - name: Scholica_header rule: header="Scholica" - name: WEBrick_header rule: header="webrick" - name: QuiXplorer_body rule: body="href=\"http://quixplorer.sourceforge.net\" target=" && body="target=\"_blank\">the quix project" - name: DD WRT (DD-WRT milli_httpd)_icon_hash rule: icon_hash="252728887" - name: TP-LINK MR13U_header rule: header="TP-LINK MR13U" - name: QuiXplorer_header rule: header="QuiXplorer" - name: mariadb_header rule: header="mariadb" - name: CushyCMS_body rule: body="Powered by CushyCMS" - name: hanweb_body rule: 'body="Use the correct document accordingly" && body="BORDER-RIGHT: #e6e6e6"' - name: ashnews_body rule: body="ashnews" - name: Huawei (Network)_icon_hash rule: icon_hash="-884776764" && icon_hash="987967490" - name: LoudBlog_header rule: header="LoudBlog" - name: moxa VPort 36-1MP IP Camera_header rule: header="moxa VPort 36-1MP IP Camera" - name: NUUO 摄像头_title rule: title="Network Video Recorder Login" - name: 客客出品专业威客系统KPPW_header rule: header="客客出品专业威客系统KPPW" - name: Ruijie-NBR-Router_body rule: body="ruijie - nbr" && body="support.ruijie.com.cn" && body="

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"tags": "detect,tech,和信下一代云桌面vesystem", "severity": "info", "metadata": {"product": "和信下一代云桌面vesystem", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["url=/vesystem"], "case-insensitive": true}]}], "_source_file": "00_unknown\\和信下一代云桌面vesystem.yaml"}, {"id": "guo-biaosip-ping-tai-wang-guan", "info": {"name": "国标sip平台网关", "author": "cn-kali-team", "tags": "detect,tech,国标sip平台网关", "severity": "info", "metadata": {"product": "国标sip平台网关", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["<h5><a href=\"config.htm?file=config.htm\">start page</a></h5>\"???*#e?<?q", "sippuaccessserverctx"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\国标sip平台网关.yaml"}, {"id": "guo-biao-wang-guan-guan-li-xi-tong", "info": {"name": "国标网关管理系统", "author": "cn-kali-team", "tags": "detect,tech,国标网关管理系统", "severity": "info", "metadata": {"product": "国标网关管理系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["title>国标网关管理系统</title"], "case-insensitive": true}]}], "_source_file": "00_unknown\\国标网关管理系统.yaml"}, {"id": "guo-mai-dian-zi-an-quan-wen-dang-guan-li-xi-tong", "info": {"name": "国迈电子安全文档管理系统", "author": "cn-kali-team", "tags": "detect,tech,国迈电子安全文档管理系统", "severity": "info", "metadata": {"product": "国迈电子安全文档管理系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["</span>国迈安全私有云部. <span>all rights reserved", "国迈安全私有云部 all rights reserved"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\国迈电子安全文档管理系统.yaml"}, {"id": "tu-chuang-ruan-jian-tu-shu-guan-zhan-qun-guan-li-xi-tong", "info": {"name": "图创软件-图书馆站群管理系统", "author": "cn-kali-team", "tags": "detect,tech,图创软件-图书馆站群管理系统", "severity": "info", "metadata": {"product": "图创软件-图书馆站群管理系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["/interlib/common/"], "case-insensitive": true}]}], "_source_file": "00_unknown\\图创软件-图书馆站群管理系统.yaml"}, {"id": "sheng-bo-run-lansecs-di-er-dai-fang-huo-qiang", "info": {"name": "圣博润-lansecs第二代防火墙", "author": "cn-kali-team", "tags": "detect,tech,圣博润-lansecs第二代防火墙", "severity": "info", "metadata": {"product": "圣博润-lansecs第二代防火墙", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["lansecs第二代防火墙"], "case-insensitive": true}]}], "_source_file": "00_unknown\\圣博润-lansecs第二代防火墙.yaml"}, {"id": "da-hua-zhi-neng-wu-lian-icc-zong-he-guan-li-ping-tai", "info": {"name": "大华智能物联icc综合管理平台", "author": "cn-kali-team", "tags": "detect,tech", "severity": "info", "metadata": {"product": "大华智能物联icc综合管理平台", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["*客户端会小于800*", "/authlogin"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\大华智能物联icc综合管理平台.yaml"}, {"id": "tian-qing-han-mavpn", "info": {"name": "天清汉马vpn", "author": "cn-kali-team", "tags": "detect,tech,天清汉马vpn", "severity": "info", "metadata": {"product": "天清汉马vpn", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["/vpn/common/js/leadsec.js", "/vpn/user/common/custom/auth_home.css"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天清汉马vpn.yaml"}, {"id": "tian-rong-xin-vpn", "info": {"name": "天融信-vpn", "author": "cn-kali-team", "tags": "detect,tech,天融信-vpn", "severity": "info", "metadata": {"product": "天融信-vpn", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["window.location.href=\"/vone/pub/pda.html\";", "window.location=\"/portal_default/index.html\";</script>"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-vpn.yaml"}, {"id": "tian-rong-xin-web-ying-yong-an-quan-wang-guan", "info": {"name": "天融信-web应用安全网关", "author": "cn-kali-team", "tags": "detect,tech,天融信-web应用安全网关", "severity": "info", "metadata": {"product": "天融信-web应用安全网关", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["this.src='/style/images/rand.php?update=1'", "天融信web应用安全网关"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-web应用安全网关.yaml"}, {"id": "tian-rong-xin-web-ying-yong-an-quan-fang-hu-xi-tong", "info": {"name": "天融信-web应用安全防护系统", "author": "cn-kali-team", "tags": "detect,tech,天融信-web应用安全防护系统", "severity": "info", "metadata": {"product": "天融信-web应用安全防护系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["class=\"logintop\"", "web应用安全防护系统"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-web应用安全防护系统.yaml"}, {"id": "tian-rong-xin-web-ying-yong-fang-huo-qiang", "info": {"name": "天融信-web应用防火墙", "author": "cn-kali-team", "tags": "detect,tech,天融信-web应用防火墙", "severity": "info", "metadata": {"product": "天融信-web应用防火墙", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["evpng.fix('div, ul, img, li, input'); //evpng.fix('pngid1, pngid2')", "web user login"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-web应用防火墙.yaml"}, {"id": "tian-rong-xin-ru-qin-fang-yu-xi-tongtopidp", "info": {"name": "天融信-入侵防御系统topidp", "author": "cn-kali-team", "tags": "detect,tech,天融信-入侵防御系统topidp", "severity": "info", "metadata": {"product": "天融信-入侵防御系统topidp", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["天融信入侵防御系统topidp"], "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-入侵防御系统topidp.yaml"}, {"id": "tian-rong-xin-an-quan-shen-ji", "info": {"name": "天融信-安全审计", "author": "cn-kali-team", "tags": "detect,tech,天融信-安全审计", "severity": "info", "metadata": {"product": "天融信-安全审计", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["<p>安全审计</p>", "<title>topsec单点登录系统"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-安全审计.yaml"}, {"id": "tian-rong-xin-an-quan-guan-li-xi-tong", "info": {"name": "天融信-安全管理系统", "author": "cn-kali-team", "tags": "detect,tech,天融信-安全管理系统", "severity": "info", "metadata": {"product": "天融信-安全管理系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["天融信安全管理"], "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-安全管理系统.yaml"}, {"id": "tian-rong-xin-shu-ju-an-quan-guan-li-xi-tong", "info": {"name": "天融信-数据安全管理系统", "author": "cn-kali-team", "tags": "detect,tech,天融信-数据安全管理系统", "severity": "info", "metadata": {"product": "天融信-数据安全管理系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["天融信数据安全管理系统"], "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-数据安全管理系统.yaml"}, {"id": "tian-rong-xin-shu-ju-an-quan-xi-tongsbu", "info": {"name": "天融信-数据安全系统sbu", "author": "cn-kali-team", "tags": "detect,tech,天融信-数据安全系统sbu", "severity": "info", "metadata": {"product": "天融信-数据安全系统sbu", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["天融信数据安全系统sbu"], "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-数据安全系统sbu.yaml"}, {"id": "tian-rong-xin-wang-luo-wei-shi-guo-lü-wang-guan", "info": {"name": "天融信-网络卫士过滤网关", "author": "cn-kali-team", "tags": "detect,tech,天融信-网络卫士过滤网关", "severity": "info", "metadata": {"product": "天融信-网络卫士过滤网关", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["天融信网络卫士过滤网关"], "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信-网络卫士过滤网关.yaml"}, {"id": "tian-rong-xintopapp_lb-fu-zai-jun-heng-xi-tong", "info": {"name": "天融信topapp_lb负载均衡系统", "author": "cn-kali-team", "tags": "detect,tech,天融信topapp_lb负载均衡系统", "severity": "info", "metadata": {"product": "天融信topapp_lb负载均衡系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["<title>天融信 topapp"], "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信topapp_lb负载均衡系统.yaml"}, {"id": "tian-rong-xin-shu-ju-fang-xie-lou-xi-tong", "info": {"name": "天融信数据防泄漏系统", "author": "cn-kali-team", "tags": "detect,tech,天融信数据防泄漏系统", "severity": "info", "metadata": {"product": "天融信数据防泄漏系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["topdlp_show", "天融信数据防泄漏系统"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天融信数据防泄漏系统.yaml"}, {"id": "tian-xing-wang-an-an-quan-dan-xiang-dao-ru-xi-tong", "info": {"name": "天行网安-安全单向导入系统", "author": "cn-kali-team", "tags": "detect,tech,天行网安-安全单向导入系统", "severity": "info", "metadata": {"product": "天行网安-安全单向导入系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["", "天行安全单向导入系统"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天行网安-安全单向导入系统.yaml"}, {"id": "tian-xing-wang-an-shi-pin-tu-xiang-an-quan-jian-kong-jie-ru-xi-tong", "info": {"name": "天行网安-视频图像安全监控接入系统", "author": "cn-kali-team", "tags": "detect,tech,天行网安-视频图像安全监控接入系统", "severity": "info", "metadata": {"product": "天行网安-视频图像安全监控接入系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["", "天行视频图像安全监控接入系统"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天行网安-视频图像安全监控接入系统.yaml"}, {"id": "tian-mai-ke-ji-wang-luo-shi-pin-jian-kong-xi-tong", "info": {"name": "天迈科技网络视频监控系统", "author": "cn-kali-team", "tags": "detect,tech,天迈科技网络视频监控系统", "severity": "info", "metadata": {"product": "天迈科技网络视频监控系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["jsessionid", "天迈科技", "网络视频监控系统"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\天迈科技网络视频监控系统.yaml"}, {"id": "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": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["global_config.js", "hillstone", "licenseaggrement"], "condition": "and", "case-insensitive": true}]}], "_source_file": "00_unknown\\山石网科防火墙.yaml"}, {"id": "gong-kong-an-quan-yin-huan-zhi-li-xiang-mu-xi-tong", "info": {"name": "工控安全隐患治理项目系统", "author": "cn-kali-team", "tags": "detect,tech,工控安全隐患治理项目系统", "severity": "info", "metadata": {"product": "工控安全隐患治理项目系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["href=\"qyxt.html\""], "case-insensitive": true}]}], "_source_file": "00_unknown\\工控安全隐患治理项目系统.yaml"}, {"id": "fan-ruan-bao-biao", "info": {"name": "帆软报表", "author": "cn-kali-team", "tags": "detect,tech", "severity": "info", "metadata": {"product": "帆软报表", "vendor": "00_unknown", "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": "detect,tech", "severity": "info", "metadata": {"product": "广联达oa", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["location: /services/identification/login.ashx?returnurl=%2f"], "part": "header", "case-insensitive": true}, {"type": "word", "words": ["gtptdt.aspx"], "case-insensitive": true}]}], "_source_file": "00_unknown\\广联达oa.yaml"}, {"id": "wei-san-yun-guan-li-xi-tong", "info": {"name": "微三云管理系统", "author": "cn-kali-team", "tags": "detect,tech,微三云管理系统", "severity": "info", "metadata": {"product": "微三云管理系统", "vendor": "00_unknown", "verified": false}}, "http": [{"method": "GET", "path": ["{{BaseURL}}/"], "matchers": [{"type": "word", "words": ["
    管理系统 management system
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"Fortigate100D", "is_equal": true }] }, { "name": "FortiGate-60D", "logic": "a||b", "rule": [{ "label": "a", "feature": "FortiGate 60D", "is_equal": true }, { "label": "b", "feature": "Fortigate60D", "is_equal": true }] }, { "name": "Fluke companies products", "logic": "a", "rule": [{ "label": "a", "feature": "Fluke Networks", "is_equal": true }] }, { "name": "CommScope-netopia-router", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "Netopia-", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Netopia-", "is_equal": true }, { "label": "c", "feature": "netopia-payments.", "is_equal": true }, { "label": "d", "feature": "Netopia Router", "is_equal": true }] }, { "name": "\u5b89\u6052\u4fe1\u606f-\u660e\u5fa1\u8fd0\u7ef4\u5ba1\u8ba1\u4e0e\u98ce\u9669\u63a7\u5236\u7cfb\u7edf", "logic": "a", "rule": [{ "label": "a", "feature": "\u660e\u5fa1\u8fd0\u7ef4\u5ba1\u8ba1", "is_equal": true }] }, { "name": "Xerox-CentreWare", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "realm=\\\"CentreWare_IS_Admin", "is_equal": true }, { "label": "b", "feature": "realm=\\\"CentreWare Internet Services", "is_equal": true }, { "label": "c", "feature": "realm=\\\"CentreWare_IS_Admin", "is_equal": true }, { "label": "d", "feature": "realm=\\\"CentreWare Internet Services", "is_equal": true }] }, { "name": "Compact-Router", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "realm=\\\"Compact Router", "is_equal": true }, { "label": "b", "feature": "snmp", "is_equal": true }, { "label": "c", "feature": "Compact Router", "is_equal": true }] }, { "name": "DELL-PowerEdge-R310", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge R310", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R230", "logic": "a||b", "rule": [{ "label": "a", "feature": "POWEREDGE-R230", "is_equal": true }, { "label": "b", "feature": "POWEREDGE-R230", "is_equal": true }] }, { "name": "DELL-PowerEdge-R720", "logic": "a||b", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge R720", "is_equal": true }, { "label": "b", "feature": "PowerEdge R720", "is_equal": true }] }, { "name": "DELL-PowerEdge-R520", "logic": "a||b", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge R520", "is_equal": true }, { "label": "b", "feature": "PowerEdge R520", "is_equal": true }] }, { "name": "DELL-PowerEdge-R720xd", "logic": "a||b", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge R720xd", "is_equal": true }, { "label": "b", "feature": "PowerEdge R720xd", "is_equal": true }] }, { "name": "DELL-PowerEdge-T420", "logic": "a||b", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge T420", "is_equal": true }, { "label": "b", "feature": "PowerEdge T420", "is_equal": true }] }, { "name": "DELL-PowerEdge-R320", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge R320", "is_equal": true }, { "label": "b", "feature": "PowerEdge R320", "is_equal": true }, { "label": "c", "feature": "PowerEdge R320", "is_equal": true }] }, { "name": "DELL-PowerEdge-R620", "logic": "a||b", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge R620", "is_equal": true }, { "label": "b", "feature": "PowerEdge R620", "is_equal": true }] }, { "name": "DELL-PowerEdge-R820", "logic": "a", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> PowerEdge R820", "is_equal": true }] }, { "name": "Arcor-DSL-Modem", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Arcor-DSL WLAN-Modem", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Arcor-DSL WLAN-Modem", "is_equal": true }] }, { "name": "ucftpd", "logic": "a", "rule": [{ "label": "a", "feature": "ucftpd", "is_equal": true }] }, { "name": "Aztech-D140W", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"AZ-D140W", "is_equal": true }, { "label": "b", "feature": "realm=\\\"AZ-D140W", "is_equal": true }] }, { "name": "AirLive-Firmware&Driver", "logic": "a||b||c||d||e||f", "rule": [{ "label": "a", "feature": "airlive AirMax5", "is_equal": true }, { "label": "b", "feature": "realm=\\\"AirLive WHA-", "is_equal": true }, { "label": "c", "feature": "airlive AirMax2", "is_equal": true }, { "label": "d", "feature": "airlive AirMax5", "is_equal": true }, { "label": "e", "feature": "realm=\\\"AirLive WHA-", "is_equal": true }, { "label": "f", "feature": "airlive AirMax2", "is_equal": true }] }, { "name": "AirLive-Modem", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "realm=\\\"airlive ARM-", "is_equal": true }, { "label": "b", "feature": "realm=\\\"AirLive ARM201", "is_equal": true }, { "label": "c", "feature": "realm=\\\"airlive ARM-", "is_equal": true }, { "label": "d", "feature": "realm=\\\"AirLive ARM201", "is_equal": true }] }, { "name": "ZyXEL-Gateway", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"AMG1001-", "is_equal": true }, { "label": "b", "feature": "realm=\\\"AMG1001-", "is_equal": true }] }, { "name": "EDIMAX-Modem", "logic": "a||b||c||d||e||f||g||h||i||j", "rule": [{ "label": "a", "feature": "realm=\\\"AR-7182WnA", "is_equal": true }, { "label": "b", "feature": "realm=\\\"AR-7186WnA", "is_equal": true }, { "label": "c", "feature": "realm=\\\"AR-7188WnA", "is_equal": true }, { "label": "d", "feature": "realm=\\\"AR-7286WnA", "is_equal": true }, { "label": "e", "feature": "realm=\\\"AR-7286WnB", "is_equal": true }, { "label": "f", "feature": "realm=\\\"AR-7182WnA", "is_equal": true }, { "label": "g", "feature": "realm=\\\"AR-7186WnA", "is_equal": true }, { "label": "h", "feature": "realm=\\\"AR-7188WnA", "is_equal": true }, { "label": "i", "feature": "realm=\\\"AR-7286WnA", "is_equal": true }, { "label": "j", "feature": "realm=\\\"AR-7286WnB", "is_equal": true }] }, { "name": "Riak-DB", "logic": "a", "rule": [{ "label": "a", "feature": "riak", "is_equal": true }] }, { "name": "PostgreSQL", "logic": "a", "rule": [{ "label": "a", "feature": "postgres", "is_equal": true }] }, { "name": "MemCache", "logic": "a", "rule": [{ "label": "a", "feature": "memcache", "is_equal": true }] }, { "name": "cassandra", "logic": "a", "rule": [{ "label": "a", "feature": "cassandra", "is_equal": true }] }, { "name": "Oracle companies", "logic": "a||b", "rule": [{ "label": "a", "feature": "oracle", "is_equal": true }, { "label": "b", "feature": "[OracleException]: ORA-", "is_equal": true }] }, { "name": "SAP-Sybase", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "Server: AdaptiveServerAnywhere", "is_equal": true }, { "label": "b", "feature": "Server: AdaptiveServerAnywhere", "is_equal": true }, { "label": "c", "feature": "Server: SQLAnywhere", "is_equal": true }, { "label": "d", "feature": "Server: SQLAnywhere", "is_equal": true }] }, { "name": "IBM-DB2 database", "logic": "a", "rule": [{ "label": "a", "feature": "db2", "is_equal": true }] }, { "name": "Muratec-mfx printer", "logic": "a||b", "rule": [{ "label": "a", "feature": "Muratec MFX", "is_equal": true }, { "label": "b", "feature": "MFX-", "is_equal": true }] }, { "name": "Maipu-MyPower-OS", "logic": "a", "rule": [{ "label": "a", "feature": "MyPower (R) Operating System Software", "is_equal": true }] }, { "name": "DELL-DCS2210", "logic": "a", "rule": [{ "label": "a", "feature": "id=\\\"serverinfo\\\"> DCS2210", "is_equal": true }] }, { "name": "HUAWEI-9008-V5", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/9008 V5", "is_equal": true }] }, { "name": "HUAWEI-CH242-V5", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/CH242 V5", "is_equal": true }] }, { "name": "3COM-Baseline-Switch", "logic": "a||b", "rule": [{ "label": "a", "feature": "3Com Baseline Switch", "is_equal": true }, { "label": "b", "feature": "Baseline Switch ", "is_equal": true }] }, { "name": "HUAWEI-5288-V3", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/5288 V3", "is_equal": true }] }, { "name": "3COM-Switch-5500G", "logic": "a&&b", "rule": [{ "label": "a", "feature": "Switch 5500G", "is_equal": true }, { "label": "b", "feature": "3com", "is_equal": true }] }, { "name": "HUAWEI-CloudIVS-3000S", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/CloudIVS 3000S", "is_equal": true }] }, { "name": "HP-Switch", "logic": "(a&&b) || (c&&d)", "rule": [{ "label": "a", "feature": "Switch Software Version", "is_equal": true }, { "label": "b", "feature": "Hewlett-Packard Development Company", "is_equal": true }, { "label": "c", "feature": "HP 1820", "is_equal": true }, { "label": "d", "feature": "switch", "is_equal": true }] }, { "name": "HUAWEI-RH2288H-V3", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/RH2288H V3", "is_equal": true }] }, { "name": "LevelOne-11g-Wireless-Router", "logic": "a", "rule": [{ "label": "a", "feature": "11g Wireless Broadband Router", "is_equal": true }] }, { "name": "HUAWEI-2488H-V5", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/2488H V5", "is_equal": true }] }, { "name": "uniview-VM2500", "logic": "a", "rule": [{ "label": "a", "feature": "\u8f6f\u4ef6\u7248\u672c\uff1a VM2500", "is_equal": true }] }, { "name": "LG-43UK6470PLC", "logic": "a", "rule": [{ "label": "a", "feature": "43UK6470PLC", "is_equal": true }] }, { "name": "HUAWEI-RH1288-V3", "logic": "a", "rule": [{ "label": "a", "feature": "ProductName/RH1288 V3", "is_equal": true }] }, { "name": "LG-32LM630BPSB", "logic": "a", "rule": [{ "label": "a", "feature": "32LM630BPSB", "is_equal": true }] }, { "name": "LG-65UM7800HNA", "logic": "a", "rule": [{ "label": "a", "feature": "65UM7800HNA", "is_equal": true }] }, { "name": "\u667a\u80fd\u5e73\u53f0\u7ba1\u7406\u63a5\u53e3", "logic": "a", "rule": [{ "label": "a", "feature": "ipmi", "is_equal": true }] }, { "name": "Huawei-Secoway Firewall", "logic": "a||b", "rule": [{ "label": "a", "feature": "Secoway", "is_equal": true }, { "label": "b", "feature": "Secoway", "is_equal": true }] }, { "name": "legendsec - firewall", "logic": "a|| (b&&c) || ((d||e) &&f) ||g||h||i||j||k", "rule": [{ "label": "a", "feature": "secgate 3600", "is_equal": true }, { "label": "b", "feature": "snmp", "is_equal": true }, { "label": "c", "feature": "SecOS ", "is_equal": true }, { "label": "d", "feature": "css/lsec/login.css", "is_equal": true }, { "label": "e", "feature": "src=\\\"?g=login_captcha", "is_equal": true }, { "label": "f", "feature": "content=\\\"\u4e0a\u6d77\u6590\u8baf\u6570\u636e\u901a\u4fe1\u6280\u672f\u6709\u9650\u516c\u53f8\\\"", "is_equal": false }, { "label": "g", "feature": "SecGate3600", "is_equal": true }, { "label": "h", "feature": "var __permission = \\\"360\u7f51\u795e\u9632\u706b\u5899\u7cfb\u7edfNSG", "is_equal": true }, { "label": "i", "feature": "var __permission = \\\"360\u7f51\u795e\u9632\u706b\u5899\u7cfb\u7edf\\\"", "is_equal": true }, { "label": "j", "feature": "var __permission = \\\"\u7f51\u795e\u9632\u706b\u5899\\\"", "is_equal": true }, { "label": "k", "feature": "var __permission = \\\"\u7f51\u795eSecGate3600 \u9632\u706b\u5899\\\"", "is_equal": true }] }, { "name": "MikroTik-CCR1036", "logic": "a", "rule": [{ "label": "a", "feature": "RouterOS CCR1036", "is_equal": true }] }, { "name": "TrafSys-People-Counting", "logic": "a", "rule": [{ "label": "a", "feature": "Automatic People Counting Device", "is_equal": true }] }, { "name": "Neo4j", "logic": "a||b||c||d||e", "rule": [{ "label": "a", "feature": "content=\\\"Neo4j", "is_equal": true }, { "label": "b", "feature": "ng-show=\\\"neo4j.enterpriseEdition", "is_equal": true }, { "label": "c", "feature": "play-topic=\\\"neo4j-sync", "is_equal": true }, { "label": "d", "feature": "{{ neo4j.version | neo4jDeveloperDoc }}/", "is_equal": true }, { "label": "e", "feature": "Neo4j", "is_equal": true }] }, { "name": "LG-OLED55E8PLA", "logic": "a", "rule": [{ "label": "a", "feature": "OLED55E8PLA", "is_equal": true }] }, { "name": "LG-75UM7570PUD", "logic": "a", "rule": [{ "label": "a", "feature": "75UM7570PUD", "is_equal": true }] }, { "name": "LG-65UH6550-UB", "logic": "a", "rule": [{ "label": "a", "feature": "65UH6550-UB", "is_equal": true }] }, { "name": "LG-OLED55C9CNA", "logic": "a", "rule": [{ "label": "a", "feature": "OLED55C9CNA", "is_equal": true }] }, { "name": "LG-55SM8100PSA", "logic": "a", "rule": [{ "label": "a", "feature": "55SM8100PSA", "is_equal": true }] }, { "name": "LG-43UM7800BNA", "logic": "a", "rule": [{ "label": "a", "feature": "43UM7800BNA", "is_equal": true }] }, { "name": "ZyXEL-DSLAM", "logic": "a||b||c||d||e||f||g", "rule": [{ "label": "a", "feature": "realm=\\\"AAM1212-", "is_equal": true }, { "label": "b", "feature": "realm=\\\"IES-612", "is_equal": true }, { "label": "c", "feature": "realm=\\\"IES-1000", "is_equal": true }, { "label": "d", "feature": "AAM1212-", "is_equal": true }, { "label": "e", "feature": "realm=\\\"IES-612", "is_equal": true }, { "label": "f", "feature": "realm=\\\"IES-1000", "is_equal": true }, { "label": "g", "feature": "realm=IES-1000", "is_equal": true }] }, { "name": "LG-65UM6900PUA", "logic": "a", "rule": [{ "label": "a", "feature": "65UM6900PUA", "is_equal": true }] }, { "name": "GE-NX590", "logic": "a", "rule": [{ "label": "a", "feature": "(GE-Interlogix) / NX590", "is_equal": true }] }, { "name": "HP-IP-Switch", "logic": "a", "rule": [{ "label": "a", "feature": "HP IP Console Switch", "is_equal": true }] }, { "name": "LG-55UM7100PLB", "logic": "a", "rule": [{ "label": "a", "feature": "55UM7100PLB", "is_equal": true }] }, { "name": "LG-43UM7510PSB", "logic": "a", "rule": [{ "label": "a", "feature": "43UM7510PSB", "is_equal": true }] }, { "name": "LG-OLED55C8FNA", "logic": "a", "rule": [{ "label": "a", "feature": "OLED55C8FNA", "is_equal": true }] }, { "name": "LG-49UK6820ENF", "logic": "a", "rule": [{ "label": "a", "feature": "49UK6820ENF", "is_equal": true }] }, { "name": "LG-OLED65B7K-N", "logic": "a", "rule": [{ "label": "a", "feature": "OLED65B7K-N", "is_equal": true }] }, { "name": "Openvox-Wireless-Gateway", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Openvox-Wireless-Gateway", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Openvox-Wireless-Gateway", "is_equal": true }] }, { "name": "ZyXEL-NBG-416N", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "realm=\\\"NBG-416N N-lite Home Router", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NBG-418N N Home Router", "is_equal": true }, { "label": "c", "feature": "realm=\\\"NBG-416N N-lite Home Router", "is_equal": true }, { "label": "d", "feature": "realm=\\\"NBG-418N N Home Router", "is_equal": true }] }, { "name": "leadsec Nebula - Security Gateway", "logic": "a||b||c||d||e||f|| (g&&h&&i&&j)", "rule": [{ "label": "a", "feature": "\u8054\u60f3\u7f51\u5fa1 \u5b89\u5168\u7f51\u5173", "is_equal": true }, { "label": "b", "feature": "SAG\u7cfb\u7edf", "is_equal": true }, { "label": "c", "feature": "var cookiename = \\\"sagLoginFailTimes\\\";", "is_equal": true }, { "label": "d", "feature": "", "is_equal": true }, { "label": "i", "feature": "content=\\\"\u5317\u4eac\u542f\u660e\u661f\u8fb0\u4fe1\u606f\u5b89\u5168\u6280\u672f\u6709\u9650\u516c\u53f8\\\"", "is_equal": false }, { "label": "j", "feature": "txt_username\\\").val()==\\\"administrator\\\"", "is_equal": true }] }, { "name": "LG-49UH603V-ZE", "logic": "a", "rule": [{ "label": "a", "feature": "49UH603V-ZE", "is_equal": true }] }, { "name": "LG-75UK6570AUA", "logic": "a", "rule": [{ "label": "a", "feature": "75UK6570AUA", "is_equal": true }] }, { "name": "Maipu-VPN3005", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"MPSec VPN3005C", "is_equal": true }, { "label": "b", "feature": "VPN3005C", "is_equal": true }] }, { "name": "nusoft System - Multi-Homing-Gateway", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Multi-Homing Gateway", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Wi-Fi Multi-Homing", "is_equal": true }] }, { "name": "Hillstone-SR-320", "logic": "a", "rule": [{ "label": "a", "feature": "CommonName: SR-320", "is_equal": true }] }, { "name": "CISCO-RV220W", "logic": "a", "rule": [{ "label": "a", "feature": "RV220W", "is_equal": true }] }, { "name": "LG-OLED55B8GNA", "logic": "a", "rule": [{ "label": "a", "feature": "OLED55B8GNA", "is_equal": true }] }, { "name": "SOPHOS-UTM220", "logic": "(a&&b)", "rule": [{ "label": "a", "feature": "UTM220", "is_equal": true }, { "label": "b", "feature": "var OWN_STATUS", "is_equal": true }] }, { "name": "paloalto-PA-500", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "PA-500", "is_equal": true }, { "label": "b", "feature": "PA-500", "is_equal": true }, { "label": "c", "feature": "id=\\\"heading\\\">GlobalProtect Portal", "is_equal": true }] }, { "name": "Tenda-W20E", "logic": "a", "rule": [{ "label": "a", "feature": "var sys_target = \\\"W20E\\\"", "is_equal": true }] }, { "name": "CISCO-ASR-9010", "logic": "a", "rule": [{ "label": "a", "feature": "ASR9010", "is_equal": true }] }, { "name": "Eaton-EX-2200", "logic": "a", "rule": [{ "label": "a", "feature": "EX 2200", "is_equal": true }] }, { "name": "ExtremeWare-XOS", "logic": "a||b", "rule": [{ "label": "a", "feature": "ExtremeWare XOS", "is_equal": true }, { "label": "b", "feature": "ExtremeXOS", "is_equal": true }] }, { "name": "Extron-ShareLink", "logic": "a&&b", "rule": [{ "label": "a", "feature": "snmp", "is_equal": true }, { "label": "b", "feature": "Extron Electronics ShareLink", "is_equal": true }] }, { "name": "RLE-Environmental-Monitor", "logic": "a", "rule": [{ "label": "a", "feature": "Environmental Monitor by RLE Technologies", "is_equal": true }] }, { "name": "Sagemcom-FAST3890V2", "logic": "a&&b", "rule": [{ "label": "a", "feature": "FAST3890V2 Wireless Voice Gateway", "is_equal": true }, { "label": "b", "feature": "SAGEMCOM", "is_equal": true }] }, { "name": "pexip", "logic": "(a&&b) || (c&&d)", "rule": [{ "label": "a", "feature": "

    Pexip Infinity

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"Server: Docker/", "is_equal": true }, { "label": "k", "feature": "couchdb", "is_equal": false }, { "label": "l", "feature": "drupal", "is_equal": false }] }, { "name": "\u6cdb\u5fae-EMobile", "logic": "a|| (b&&c) ||d|| (e&&f)", "rule": [{ "label": "a", "feature": "content=\\\"Weaver E-mobile\\\"", "is_equal": true }, { "label": "b", "feature": "E-Mobile ", "is_equal": true }, { "label": "c", "feature": "action=\\\"/verifyLogin.do", "is_equal": true }, { "label": "d", "feature": "/images/login_logo@2x.png", "is_equal": true }, { "label": "e", "feature": "window.apiprifix = \\\"/emp\\\";", "is_equal": true }, { "label": "f", "feature": "\u79fb\u52a8\u7ba1\u7406\u5e73\u53f0", "is_equal": true }] }, { "name": "Panmine-E-Weaver", "logic": "((a&&b) || (c&&d))", "rule": [{ "label": "a", "feature": "szFeatures", "is_equal": true }, { "label": "b", "feature": "redirectUrl", "is_equal": true }, { "label": "c", "feature": "rndData", "is_equal": true }, { "label": "d", "feature": "isdx", "is_equal": true }] }, { "name": "Alcatel_Lucent-OS9900", "logic": "a", "rule": [{ "label": "a", "feature": "Device OS9900", "is_equal": true }] }, { "name": "NSP-NAS-FTP", "logic": "a", "rule": [{ "label": "a", "feature": "NSP-NAS FTP service", "is_equal": true }] }, { "name": "Alcatel_Lucent-OS6560-24X4", "logic": "a", "rule": [{ "label": "a", "feature": "Device OS6560-24X4", "is_equal": true }] }, { "name": "HP-ProCurve-Switch", "logic": "(a&& (b||c||d)) ||e|| (f&&g) ||h|| (i&&j)", "rule": [{ "label": "a", "feature": "Server: eHTTP", "is_equal": true }, { "label": "b", "feature": "ProCurve ", "is_equal": true }, { "label": "c", "feature": "ProCurve ", "is_equal": true }, { "label": "d", "feature": "Hewlett Packard Enterprise Development LP", "is_equal": true }, { "label": "e", "feature": "ProCurve Switch", "is_equal": true }, { "label": "f", "feature": "HP ", "is_equal": true }, { "label": "g", "feature": "ProCurve Switch", "is_equal": true }, { "label": "h", "feature": "HP ProCurve 1810G", "is_equal": true }, { "label": "i", "feature": "ProCurve", "is_equal": true }, { "label": "j", "feature": "switch", "is_equal": true }] }, { "name": "ZTE-ZXSEC-US", "logic": "a||b", "rule": [{ "label": "a", "feature": "class=\\\"login_main_text\\\">ZXSEC US", "is_equal": true }, { "label": "b", "feature": "ZXSEC US", "is_equal": true }] }, { "name": "NetComm-WiFi-VoIP-Gateway", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NetComm WiFi Data and VoIP Gateway", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NetComm WiFi Data and VoIP Gateway", "is_equal": true }] }, { "name": "3MP-Network-Camera", "logic": "a", "rule": [{ "label": "a", "feature": "3MP Network Camera", "is_equal": true }] }, { "name": "Weaning -RP system", "logic": "a", "rule": [{ "label": "a", "feature": "/javascript/js/WITFunctions.js", "is_equal": true }] }, { "name": "Kafka-Manager", "logic": "a||b||c||d||e||f||g||h", "rule": [{ "label": "a", "feature": "Kafka admin", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Kafka-Manager", "is_equal": true }, { "label": "c", "feature": "realm=\\\"Kafka Manager", "is_equal": true }, { "label": "d", "feature": "Kafka Manager", "is_equal": true }, { "label": "e", "feature": "/vassets/dataTables/stylesheets", "is_equal": true }, { "label": "f", "feature": "vassets/images/2af62f58ee2baf495c9b3a9a1c30ce03-favicon.png", "is_equal": true }, { "label": "g", "feature": "realm=\\\"Kafka-Manager", "is_equal": true }, { "label": "h", "feature": "realm=\\\"Kafka Manager", "is_equal": true }] }, { "name": "WebRay-Situation Perception", "logic": "a", "rule": [{ "label": "a", "feature": "class=\\\"disclaimer\\\" style=\\\"color: #FFFFFF\\\">\u300a\u76db\u90a6\u5b89\u5168\u7f51\u7ad9\u76d1\u63a7\u9884\u8b66\u5e73\u53f0\u670d\u52a1\u534f\u8bae\u300b", "is_equal": true }] }, { "name": "HP-SiteScope", "logic": "((a||b||c||d) &&e) || ((f||g||h) &&i)", "rule": [{ "label": "a", "feature": "SiteScope Login", "is_equal": true }, { "label": "b", "feature": "Server: SiteScope", "is_equal": true }, { "label": "c", "feature": "Path=/SiteScope", "is_equal": true }, { "label": "d", "feature": "realm=\\\"SiteScope", "is_equal": true }, { "label": "e", "feature": "Server: couchdb", "is_equal": false }, { "label": "f", "feature": "Server: SiteScope", "is_equal": true }, { "label": "g", "feature": "Path=/SiteScope", "is_equal": true }, { "label": "h", "feature": "realm=\\\"SiteScope", "is_equal": true }, { "label": "i", "feature": "couchdb", "is_equal": false }] }, { "name": "gee-HiWiFi", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "\u6b64\u65b9\u6cd5\u4e0eHiWiFi\u4e2d\u7684\u65b9\u6cd5\u4fdd\u6301\u4e00\u81f4", "is_equal": true }, { "label": "b", "feature": "Server: HiWiFi", "is_equal": true }, { "label": "c", "feature": "Server: HiWiFi", "is_equal": true }] }, { "name": "VOS-VOS2009", "logic": "a", "rule": [{ "label": "a", "feature": "content=\\\"VOS2009, VoIP, VoIP\u8fd0\u8425\u652f\u6491\u7cfb\u7edf, \u8f6f\u4ea4\u6362\\\"", "is_equal": true }] }, { "name": "NOMADIX-AG-5800", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "realm=\\\"AG 5800", "is_equal": true }, { "label": "b", "feature": "AG 5800: Login", "is_equal": true }, { "label": "c", "feature": "AG 5800", "is_equal": true }] }, { "name": "Ai Run - Smart Parking Management System", "logic": "a", "rule": [{ "label": "a", "feature": "src=\\\"/static/img/allstar.png\\\"", "is_equal": true }] }, { "name": "Utorrent-product", "logic": "a||b||c|| (d&&e&&f) || (g&&h&&i)", "rule": [{ "label": "a", "feature": "Basic realm=\\\"uTorrent\\\"", "is_equal": true }, { "label": "b", "feature": "Basic realm=\\\"uTorrent\\\"", "is_equal": true }, { "label": "c", "feature": "www-authenticate Basic realm=\\\"uTorrent", "is_equal": true }, { "label": "d", "feature": "HTTP/1.1 300 ERROR", "is_equal": true }, { "label": "e", "feature": "Content-Length: 15", "is_equal": true }, { "label": "f", "feature": "invalid request", "is_equal": true }, { "label": "g", "feature": "HTTP/1.1 300 ERROR", "is_equal": true }, { "label": "h", "feature": "Content-Length: 15", "is_equal": true }, { "label": "i", "feature": "invalid request", "is_equal": true }] }, { "name": "NexG-VForce", "logic": "a", "rule": [{ "label": "a", "feature": "var lurl = \\\"VOS.shtml\\\"", "is_equal": true }] }, { "name": "ACTi-NVR", "logic": "a&&b", "rule": [{ "label": "a", "feature": "var szproductbrand = 'ACTi'", "is_equal": true }, { "label": "b", "feature": "var szproducttype = 'NVR'", "is_equal": true }] }, { "name": "MOBOTIX-M25", "logic": "a", "rule": [{ "label": "a", "feature": "MOBOTIXM25", "is_equal": true }] }, { "name": "MOBOTIX-M24", "logic": "a", "rule": [{ "label": "a", "feature": "M24", "is_equal": true }] }, { "name": "MOBOTIX-M26", "logic": "a", "rule": [{ "label": "a", "feature": "class=\\\"bold featurestypeinfo\\\">M26", "is_equal": true }] }, { "name": "reolink-NVR", "logic": "a||b", "rule": [{ "label": "a", "feature": "Balanced", "is_equal": true }, { "label": "b", "feature": "Reolink", "is_equal": true }] }, { "name": "LOREX-NVR", "logic": "a", "rule": [{ "label": "a", "feature": "
    ", "is_equal": true }] }, { "name": "CP_PLUS-NVR", "logic": "a", "rule": [{ "label": "a", "feature": "CPPLUS NVR \u2013Web View", "is_equal": true }] }, { "name": "HP-StorageWorks", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "HP StorageWorks", "is_equal": true }, { "label": "b", "feature": "snmp", "is_equal": true }, { "label": "c", "feature": "HP StorageWorks ", "is_equal": true }] }, { "name": "NETPOSA-Social Resource Access Management Service System", "logic": "a&&b", "rule": [{ "label": "a", "feature": "\u793e\u4f1a\u8d44\u6e90\u63a5\u5165\u7ba1\u7406\u670d\u52a1\u7cfb\u7edf", "is_equal": true }, { "label": "b", "feature": "netposa", "is_equal": true }] }, { "name": "HP-J4110A", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"HP J4110A", "is_equal": true }, { "label": "b", "feature": "HP J4110A", "is_equal": true }] }, { "name": "HP-J4812A", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"HP J4812A", "is_equal": true }, { "label": "b", "feature": "HP J4812A", "is_equal": true }] }, { "name": "Avaya-ERS-8810", "logic": "a", "rule": [{ "label": "a", "feature": "ERS-8810", "is_equal": true }] }, { "name": "TRENDnet-TEW-740APBO", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "TEW-740APBO
    ", "is_equal": true }, { "label": "b", "feature": "TEW-740APBO", "is_equal": true }, { "label": "c", "feature": "Etag: \\\"2009-6\\\"", "is_equal": true }] }, { "name": "Ganglia", "logic": "a||b||c||d||e", "rule": [{ "label": "a", "feature": "Ganglia:: Cluster Report", "is_equal": true }, { "label": "b", "feature": "onchange=\\\"ganglia_form.submit();", "is_equal": true }, { "label": "c", "feature": "name=\\\"ganglia_form", "is_equal": true }, { "label": "d", "feature": "gs=unspecified", "is_equal": true }, { "label": "e", "feature": "gs=unspecified", "is_equal": true }] }, { "name": "PCLinuxOS", "logic": "a||b", "rule": [{ "label": "a", "feature": "PCLinuxOS", "is_equal": true }, { "label": "b", "feature": "PCLinuxOS", "is_equal": true }] }, { "name": "MontaVista-linux", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "MontaVista", "is_equal": true }, { "label": "b", "feature": "MontaVista Software", "is_equal": true }, { "label": "c", "feature": "Server: MontaVista/", "is_equal": true }] }, { "name": "MNG6200", "logic": "a", "rule": [{ "label": "a", "feature": "MNG6200", "is_equal": true }] }, { "name": "Gearhost-Company Products", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "Hosted-With: GearHost", "is_equal": true }, { "label": "b", "feature": "Hosted-By: GearHost", "is_equal": true }, { "label": "c", "feature": "Hosted-With: GearHost", "is_equal": true }, { "label": "d", "feature": "Hosted-By: GearHost", "is_equal": true }] }, { "name": "GateQuest-PHP-Site-Recommender", "logic": "a", "rule": [{ "label": "a", "feature": "GateQuest", "is_equal": true }] }, { "name": "Enhydra-Application-Server", "logic": "a||b", "rule": [{ "label": "a", "feature": "Enhydra", "is_equal": true }, { "label": "b", "feature": "Enhydra", "is_equal": true }] }, { "name": "Dell-Remote-Access-Device", "logic": " (a&&b) &&c", "rule": [{ "label": "a", "feature": "SetEMClientInfo", "is_equal": true }, { "label": "b", "feature": "src=\\\"/initparams?emclientinfo", "is_equal": true }, { "label": "c", "feature": "Server: couchdb", "is_equal": false }] }, { "name": "Qianxin - code guard", "logic": "a||b", "rule": [{ "label": "a", "feature": "360\u4ee3\u7801\u536b\u58eb", "is_equal": true }, { "label": "b", "feature": "baseUrl : 'app', //\u914d\u7f6e\u6a21\u5757\u6839\u8def\u5f84\u5230\u9759\u6001\u8d44\u6e90\u6839\u76ee\u5f55\u3002", "is_equal": true }] }, { "name": "TRENDnet-TEW-823DRU", "logic": "a||b", "rule": [{ "label": "a", "feature": "var model = \\\"TEW-823DRU\\\"", "is_equal": true }, { "label": "b", "feature": "TEW-823DRU", "is_equal": true }] }, { "name": "EPiServer", "logic": "((a||b||c) &&d) ||e", "rule": [{ "label": "a", "feature": "content=\\\"EPiServer", "is_equal": true }, { "label": "b", "feature": "/javascript/episerverscriptmanager.js", "is_equal": true }, { "label": "c", "feature": "Server: EpiServer", "is_equal": true }, { "label": "d", "feature": "Server: couchdb", "is_equal": false }, { "label": "e", "feature": "Server: EpiServer", "is_equal": true }] }, { "name": "Enigma2", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "href=\\\"/web/movielist.rss?tag", "is_equal": true }, { "label": "b", "feature": "Enigma2 WebControl", "is_equal": true }, { "label": "c", "feature": "Server: enigma2", "is_equal": true }] }, { "name": "TRENDnet-TEW-825DAP", "logic": "a", "rule": [{ "label": "a", "feature": "var model = \\\"TEW-825DAP\\\"", "is_equal": true }] }, { "name": "Ericsson-TV-Web-Server", "logic": "a||b||c||d||e||f", "rule": [{ "label": "a", "feature": "Server : Ericsson Television Web server", "is_equal": true }, { "label": "b", "feature": "Server: Ericsson Television Web server", "is_equal": true }, { "label": "c", "feature": "Server :Ericsson Television Web server", "is_equal": true }, { "label": "d", "feature": "Server : Ericsson Television Web server", "is_equal": true }, { "label": "e", "feature": "Server: Ericsson Television Web server", "is_equal": true }, { "label": "f", "feature": "Server :Ericsson Television Web server", "is_equal": true }] }, { "name": "Eserv", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "Server: Eserv", "is_equal": true }, { "label": "b", "feature": "content=\\\"Eserv", "is_equal": true }, { "label": "c", "feature": "Server: Eserv", "is_equal": true }] }, { "name": "H3C-ICG1800", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "realm=\\\"H3C ICG 1800", "is_equal": true }, { "label": "b", "feature": "realm=\\\"H3C ICG1800", "is_equal": true }, { "label": "c", "feature": "H3C ICG 1800", "is_equal": true }, { "label": "d", "feature": "H3C ICG1800", "is_equal": true }] }, { "name": "esoTalk", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "generated by esoTalk", "is_equal": true }, { "label": "b", "feature": "Powered by esoTalk", "is_equal": true }, { "label": "c", "feature": "/js/esotalk.js", "is_equal": true }] }, { "name": "TRENDnet-TEW-755AP", "logic": "a", "rule": [{ "label": "a", "feature": "var model = \\\"TEW-755AP\\\"", "is_equal": true }] }, { "name": "TRENDnet-TEW-810DR", "logic": "a", "rule": [{ "label": "a", "feature": "TEW-810DR pre-test", "is_equal": true }] }, { "name": "TRENDnet-TEW-822DRE", "logic": "a&&b", "rule": [{ "label": "a", "feature": "TEW-822DRE", "is_equal": true }, { "label": "b", "feature": "lang_obj.write(\\\"product_description\\\")", "is_equal": true }] }, { "name": "TRENDnet-TEW-821DAP", "logic": "a", "rule": [{ "label": "a", "feature": "var model = \\\"TEW-821DAP\\\"", "is_equal": true }] }, { "name": "TRENDnet-TEW-827DRU", "logic": "a", "rule": [{ "label": "a", "feature": "var model = \\\"TEW-827DRU\\\"", "is_equal": true }] }, { "name": "TRENDnet-TEW-824DRU", "logic": "a||b", "rule": [{ "label": "a", "feature": "var model = \\\"TEW-824DRU\\\"", "is_equal": true }, { "label": "b", "feature": "Capture(status_router.sys_model)Trendnet TEW824DRU", "is_equal": true }] }, { "name": "DLink-DI-808HV", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"DI-808HV", "is_equal": true }, { "label": "b", "feature": "DI-808HV", "is_equal": true }] }, { "name": "DLink-DI-824VUP", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"DI-824VUP", "is_equal": true }, { "label": "b", "feature": "DI-824VUP", "is_equal": true }] }, { "name": "DLink-DI-LB604", "logic": "a||b", "rule": [{ "label": "a", "feature": "DI-LB604", "is_equal": true }, { "label": "b", "feature": "DI-LB604", "is_equal": true }] }, { "name": "Tiandy-NVR", "logic": "(a&&b) ||c", "rule": [{ "label": "a", "feature": "id=\\\"maintaince_dialog_ok\\\"", "is_equal": true }, { "label": "b", "feature": "Playback    ", "is_equal": true }, { "label": "c", "feature": "if(GetDiscription(\\\"application/x-rs-sclient-v3", "is_equal": true }] }, { "name": "Dell-Printer", "logic": "a||b|| (c&&d)", "rule": [{ "label": "a", "feature": "Dell Laser Printer", "is_equal": true }, { "label": "b", "feature": "Dell Laser Printer", "is_equal": true }, { "label": "c", "feature": "EWS-NIC5", "is_equal": true }, { "label": "d", "feature": "\u5ba2\u6237\u7aef", "is_equal": true }] }, { "name": "LG-SuperSign", "logic": "a", "rule": [{ "label": "a", "feature": "src=\\\"/ssw/js/user/index.js", "is_equal": true }] }, { "name": "MAiPU-MP1800X-50", "logic": "(a&&b&&c) ||d", "rule": [{ "label": "a", "feature": "/assets/css/ui-dialog.css", "is_equal": true }, { "label": "b", "feature": "/form/formUserLogin", "is_equal": true }, { "label": "c", "feature": "Hardware Model", "is_equal": false }, { "label": "d", "feature": "MP1800X-50", "is_equal": true }] }, { "name": "RethinkDB", "logic": "a", "rule": [{ "label": "a", "feature": "RethinkDB Administration", "is_equal": true }] }, { "name": "SMARTBI", "logic": "a", "rule": [{ "label": "a", "feature": "gcfutil = jsloader.resolve('smartbi.gcf.gcfutil')", "is_equal": true }] }, { "name": "H3C-CR16004", "logic": "a", "rule": [{ "label": "a", "feature": "CR16004", "is_equal": true }] }, { "name": "H3C-CR16008-X", "logic": "a||b", "rule": [{ "label": "a", "feature": "H3C-CR16008-X", "is_equal": true }, { "label": "b", "feature": "H3C CR16008-X", "is_equal": true }] }, { "name": "uniview-VM5.0", "logic": "a", "rule": [{ "label": "a", "feature": "VM5.0", "is_equal": true }] }, { "name": "uniview-VM9500", "logic": "a", "rule": [{ "label": "a", "feature": "\u8f6f\u4ef6\u7248\u672c\uff1a VM9500", "is_equal": true }] }, { "name": "uniview-TMS8500", "logic": "a", "rule": [{ "label": "a", "feature": "TMS8500-IMOS110", "is_equal": true }] }, { "name": "D-link-850L", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "target=\\\"_blank\\\">DIR-850L", "is_equal": true }, { "label": "b", "feature": "modelname\\\">DIR-850L", "is_equal": true }, { "label": "c", "feature": ">\u7522\u54c1\u9801\u9762 : DIR-850L", "is_equal": true }] }, { "name": "uniview-EZclould", "logic": "a", "rule": [{ "label": "a", "feature": "src=\\\"images/pag-logo.png\\\"", "is_equal": true }] }, { "name": "uniview-NVR308-32-IN", "logic": "a", "rule": [{ "label": "a", "feature": "NVR308-32-IN", "is_equal": true }] }, { "name": "VOS3000", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "VOS3000", "is_equal": true }, { "label": "b", "feature": "content=\\\"VOS3000", "is_equal": true }, { "label": "c", "feature": "images/vos3000.ico", "is_equal": true }] }, { "name": "uniview-ISC2500-SCT-E", "logic": "a", "rule": [{ "label": "a", "feature": "ISC2500-SCT-E", "is_equal": true }] }, { "name": "uniview-ISC2500-SP", "logic": "a", "rule": [{ "label": "a", "feature": "ISC2500-SP", "is_equal": true }] }, { "name": "uniview-ISC3500-SL", "logic": "a", "rule": [{ "label": "a", "feature": "ISC3500-SL", "is_equal": true }] }, { "name": "DokuWiki", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "powered by DokuWiki", "is_equal": true }, { "label": "b", "feature": "content=\\\"DokuWiki", "is_equal": true }, { "label": "c", "feature": "
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    Asus RT-AC68U", "is_equal": true }, { "label": "e", "feature": "Capture(status_router.sys_model) Asus RT-AC68U ", "is_equal": true }, { "label": "f", "feature": "
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    Actiontec MI424WR", "is_equal": true }] }, { "name": "jabberd", "logic": "a||b", "rule": [{ "label": "a", "feature": "Server: jabberd", "is_equal": true }, { "label": "b", "feature": "Server: jabberd", "is_equal": true }] }, { "name": "ShareTech-NU-860H", "logic": "a&&b", "rule": [{ "label": "a", "feature": "NU-860H", "is_equal": true }, { "label": "b", "feature": "ShareTech Information Co., LTD", "is_equal": true }] }, { "name": "FutureSystems-WeGuardia-SSLplus", "logic": "a&&b", "rule": [{ "label": "a", "feature": "id=\\\"TSGSSL\\\"", "is_equal": true }, { "label": "b", "feature": "sslplus", "is_equal": true }] }, { "name": "HUAWEI-USG6306", "logic": "a||b", "rule": [{ "label": "a", "feature": "Huawei USG6306", "is_equal": true }, { "label": "b", "feature": "Huawei USG6306", "is_equal": true }] }, { "name": "LINKSYS-E900", "logic": "a||b||c||d||e|| (f&&g)", "rule": [{ "label": "a", "feature": "Linksys E900", "is_equal": true }, { "label": "b", "feature": "LinksysE900", "is_equal": true }, { "label": "c", "feature": "Linksys_E900", "is_equal": true }, { "label": "d", "feature": "Linksys E900", "is_equal": true }, { "label": "e", "feature": "Linksys E900", "is_equal": true }, { "label": "f", "feature": "var mmc = {", "is_equal": true }, { "label": "g", "feature": "Linksys E900", "is_equal": true }] }, { "name": "LINKSYS-BEFSR41", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Linksys BEFSR41", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Linksys BEFSR41", "is_equal": true }] }, { "name": "HUAWEI-USG6350", "logic": "a||b", "rule": [{ "label": "a", "feature": "Huawei USG6350", "is_equal": true }, { "label": "b", "feature": "Huawei USG6350", "is_equal": true }] }, { "name": "NETGEAR-WNR1000v3", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR WNR1000v3", "is_equal": true }, { "label": "b", "feature": "NETGEAR Router WNR1000v3", "is_equal": true }, { "label": "c", "feature": "realm=\\\"NETGEAR WNR1000v3", "is_equal": true }] }, { "name": "NETGEAR-WNHD3004v2", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NetGear WNHD3004v2", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NetGear WNHD3004v2", "is_equal": true }] }, { "name": "Conversant-SwiftCDN", "logic": "a", "rule": [{ "label": "a", "feature": "SwiftCDN", "is_equal": true }] }, { "name": "Ruijie-RGOS", "logic": "a||b", "rule": [{ "label": "a", "feature": "Server: RGOS HTTP-Server", "is_equal": true }, { "label": "b", "feature": "Server: RGOS HTTP-Server", "is_equal": true }] }, { "name": "NETGEAR-WGR614v9", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR WGR614v9", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NETGEAR WGR614v9", "is_equal": true }] }, { "name": "Mocana companies products", "logic": "a", "rule": [{ "label": "a", "feature": "-Mocana SSH", "is_equal": true }] }, { "name": "NETGEAR-JNR3210", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR JNR3210", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NETGEAR JNR3210", "is_equal": true }] }, { "name": "NETGEAR-JNR1010v2", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR JNR1010v2", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NETGEAR JNR1010v2", "is_equal": true }] }, { "name": "UniView-multimedia platform", "logic": "a&&b&&c", "rule": [{ "label": "a", "feature": "snmp", "is_equal": true }, { "label": "b", "feature": "Zhejiang Uniview Technologies Co.", "is_equal": true }, { "label": "c", "feature": "Uniview MultiMedia Plat", "is_equal": true }] }, { "name": "NETGEAR-EVG1500", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Netgear EVG1500", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Netgear EVG1500", "is_equal": true }] }, { "name": "CISCO-ASA-5520", "logic": "a&& (b||c)", "rule": [{ "label": "a", "feature": "ASA5520", "is_equal": true }, { "label": "b", "feature": "SSL VPN Service", "is_equal": true }, { "label": "c", "feature": "Cisco ASDM 7.6(1)", "is_equal": true }] }, { "name": "NETGEAR-DG834PN", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR DG834PN", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NETGEAR DG834PN", "is_equal": true }] }, { "name": "NETGEAR-D6220", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR D6220", "is_equal": true }, { "label": "b", "feature": "realm=\\\"NETGEAR D6220", "is_equal": true }] }, { "name": "Intel-IXDP425", "logic": "a&&b", "rule": [{ "label": "a", "feature": "IXDP425 Demo", "is_equal": true }, { "label": "b", "feature": "Intel(R)", "is_equal": true }] }, { "name": "NETGEAR-D6400", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR D6400", "is_equal": true }, { "label": "b", "feature": "content=\\\"D6400\\\"", "is_equal": true }, { "label": "c", "feature": "Organization: NETGEAR", "is_equal": true }] }, { "name": "NETGEAR-R6900", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"NETGEAR R6900", "is_equal": true }, { "label": "b", "feature": "NETGEAR Router R6900", "is_equal": true }] }, { "name": "Memotec-CX-U1280", "logic": "a", "rule": [{ "label": "a", "feature": "CX-U1280 RAN Gateway", "is_equal": true }] }, { "name": "netentsec Technology - Network Acceleration Equipment", "logic": "a", "rule": [{ "label": "a", "feature": "\u7f51\u5eb7\u5e7f\u57df\u7f51\u52a0\u901f\u7f51\u5173", "is_equal": true }] }, { "name": "Cisco-Broadband-Access-Center", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Cisco_CCSP_CWMP_TCPCR", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Cisco_CCSP_CWMP_TCPCR", "is_equal": true }] }, { "name": "AirLink-WL-2600CAM", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"WL-2600CAM", "is_equal": true }, { "label": "b", "feature": "realm=\\\"WL-2600CAM", "is_equal": true }] }, { "name": "3D people integrated data doors", "logic": "a||b", "rule": [{ "label": "a", "feature": "\u6b22\u8fce\u4f7f\u7528\u4e09\u7ef4\u4eba\u50cf\u7efc\u5408\u6570\u636e\u95e8!", "is_equal": true }, { "label": "b", "feature": "", "is_equal": true }] }, { "name": "Tongyang Technology - Environmental Monitoring System", "logic": "a", "rule": [{ "label": "a", "feature": "/Content/tongyang-login.css", "is_equal": true }] }, { "name": "ZXTD-management system", "logic": "a", "rule": [{ "label": "a", "feature": "action=\\\"whichLogin.jsp\\\"", "is_equal": true }] }, { "name": "Wisedu- Smart Campus Platform", "logic": "a&&b", "rule": [{ "label": "a", "feature": "portal/js/plugins/changeSkin.js", "is_equal": true }, { "label": "b", "feature": "\u524d\u7aef\u914d\u7f6e\u6587\u4ef6", "is_equal": true }] }, { "name": "legendsec - data automatic import system", "logic": "a", "rule": [{ "label": "a", "feature": "document.myform.btn_login.disabled = true;", "is_equal": true }] }, { "name": "HikVision - Video Cloud", "logic": "a||b|| (c&&d&&e)", "rule": [{ "label": "a", "feature": "Server: FACE-Webs", "is_equal": true }, { "label": "b", "feature": "Server: FACE-Webs", "is_equal": true }, { "label": "c", "feature": "placeholder=\\\"{{oLan.password}}", "is_equal": true }, { "label": "d", "feature": "oCheckUser.szPassWd", "is_equal": true }, { "label": "e", "feature": "/ui/css/style.css", "is_equal": false }] }, { "name": "CCTV-Cameras", "logic": "a&&b&&c&&d", "rule": [{ "label": "a", "feature": "style=\\\"font-size:24px;float:left;\\\">Network video client", "is_equal": true }, { "label": "b", "feature": "Partizan Web Surveillance", "is_equal": false }, { "label": "c", "feature": "thttpd/", "is_equal": true }, { "label": "d", "feature": "esee", "is_equal": false }] }, { "name": "Synchronet-BBS", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "Server: Synchronet BBS ", "is_equal": true }, { "label": "b", "feature": "Server: Synchronet BBS ", "is_equal": true }, { "label": "c", "feature": "couchdb", "is_equal": false }] }, { "name": "Spiceworks-product", "logic": "a||b||c||d||e", "rule": [{ "label": "a", "feature": "", "is_equal": true }, { "label": "b", "feature": "\\\"Spiceworks\\\"
    \\\"Simbix
    ", "is_equal": true }, { "label": "e", "feature": "Server: couchdb", "is_equal": false }, { "label": "f", "feature": "X-Powered-By: Simbix Framework", "is_equal": true }] }, { "name": "Hirschmann-Security-Device", "logic": "a", "rule": [{ "label": "a", "feature": "Hirschmann EAGLE Security Device", "is_equal": true }] }, { "name": "Hirschmann-MACH", "logic": "a||b", "rule": [{ "label": "a", "feature": "Hirschmann MACH", "is_equal": true }, { "label": "b", "feature": "Hirschmann MACH100", "is_equal": true }] }, { "name": "SilverStripe", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "framework/javascript/HtmlEditorField.js", "is_equal": true }, { "label": "b", "feature": "content=\\\"SilverStripe", "is_equal": true }, { "label": "c", "feature": "Set-Cookie: PastVisitor", "is_equal": true }, { "label": "d", "feature": "Set-Cookie: PastVisitor", "is_equal": true }] }, { "name": "siteGENIUS", "logic": "a", "rule": [{ "label": "a", "feature": "var portalbrowser = window.open('popup.php?page_type='+page_type+'&lang=", "is_equal": true }] }, { "name": "SitePlayer", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "Server: SitePlayer Telnet", "is_equal": true }, { "label": "b", "feature": "Server: SitePlayer Telnet", "is_equal": true }, { "label": "c", "feature": "realm=\\\"SitePlayer Telnet Configuration", "is_equal": true }, { "label": "d", "feature": "realm=\\\"SitePlayer Telnet Configuration", "is_equal": true }] }, { "name": "Sitecom-NAS", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"SITECOM LOGIN Enter Password (default is sitecom)", "is_equal": true }, { "label": "b", "feature": "realm=\\\"SITECOM LOGIN Enter Password (default is sitecom)", "is_equal": true }] }, { "name": "HuaWei-IAD", "logic": "a", "rule": [{ "label": "a", "feature": "Huawei TERMINAL Multi-service", "is_equal": true }] }, { "name": "HuaWei-VCT", "logic": "((a||b|| (c&&d) ||e) &&f) ||g", "rule": [{ "label": "a", "feature": "vct inner web", "is_equal": true }, { "label": "b", "feature": "src=\\\"system/ressrv/zh-CN.js", "is_equal": true }, { "label": "c", "feature": "Huawei Inner Web", "is_equal": true }, { "label": "d", "feature": "Loading SIMSWeb, please wait.....

    ", "is_equal": true }] }, { "name": "SonicWALL-SSL-VPN", "logic": "(a&&b&&c) || (d&&e&&f&&g) ||h||i||j", "rule": [{ "label": "a", "feature": "Server: SonicWALL SSL-VPN", "is_equal": true }, { "label": "b", "feature": "couchdb", "is_equal": false }, { "label": "c", "feature": "drupal", "is_equal": false }, { "label": "d", "feature": "SonicWALL SSL-VPN ", "is_equal": true }, { "label": "e", "feature": "couchdb", "is_equal": false }, { "label": "f", "feature": "drupal", "is_equal": false }, { "label": "g", "feature": "ReeCam IP Camera", "is_equal": false }, { "label": "h", "feature": "javascript/aventail.js", "is_equal": true }, { "label": "i", "feature": "SonicWall SSL VPN", "is_equal": true }, { "label": "j", "feature": "SonicWall - SSL VPN", "is_equal": true }] }, { "name": "SONY-Projector", "logic": "a||b|| ((c||d) &&e)", "rule": [{ "label": "a", "feature": "realm=\\\"Projector", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Projector", "is_equal": true }, { "label": "c", "feature": "", "is_equal": true }, { "label": "d", "feature": "", "is_equal": true }, { "label": "e", "feature": "server: couchdb", "is_equal": false }] }, { "name": "SONY-Video-Network-Station", "logic": "((a||b) &&c)", "rule": [{ "label": "a", "feature": "SONY SNT-V304 Video Network Station", "is_equal": true }, { "label": "b", "feature": "SONY Video Network Station", "is_equal": true }, { "label": "c", "feature": "Server: couchdb", "is_equal": false }] }, { "name": "SourceBans", "logic": "a ||b", "rule": [{ "label": "a", "feature": "
    Version(", "is_equal": true }, { "label": "b", "feature": "http://www.sourcebans.net\\\" target=\\\"_blank\\\">snom AG
    ", "is_equal": true }, { "label": "b", "feature": "
    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", "is_equal": true }] }, { "name": "Delivery application", "logic": "(a&&b)", "rule": [{ "label": "a", "feature": "\u4ea4\u4ed8\u5e94\u7528", "is_equal": true }, { "label": "b", "feature": "src=\\\"http://res.wx.qq.com/open/js/jweixin", "is_equal": true }] }, { "name": "CodePush-server", "logic": "a", "rule": [{ "label": "a", "feature": "content=\\\"CodePush service is hotupdate services", "is_equal": true }] }, { "name": "Marine shipping system", "logic": "a", "rule": [{ "label": "a", "feature": "\u6d77\u4e8b\u9009\u8239\u7cfb\u7edf", "is_equal": true }] }, { "name": "phpSysInfo", "logic": "a||b||c||d||e", "rule": [{ "label": "a", "feature": "var stargeturl = \\\"index.php?disp=dynamic", "is_equal": true }, { "label": "b", "feature": "content=\\\"phpSysInfo", "is_equal": true }, { "label": "c", "feature": "phpSysInfo - ", "is_equal": true }, { "label": "d", "feature": "href=\\\"http://phpsysinfo.sourceforge.net/\\\">phpSysInfo", "is_equal": true }, { "label": "e", "feature": "/templates/phpsysinfo.css", "is_equal": true }] }, { "name": "phpLDAPadmin", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "phpLDAPadmin - ", "is_equal": true }, { "label": "b", "feature": "href=\\\"http://phpldapadmin.sourceforge.net/Documentation\\\" onclick", "is_equal": true }, { "label": "c", "feature": "src=\\\"images/default/logo.png\\\" title=\\\"phpLDAPadmin logo", "is_equal": true }] }, { "name": "PHP-Link-Directory", "logic": "a||b", "rule": [{ "label": "a", "feature": "powered by phpLinkDirectory", "is_equal": true }, { "label": "b", "feature": "content=\\\"PHP Link Directory", "is_equal": true }] }, { "name": "phpMumbleAdmin", "logic": "a||b", "rule": [{ "label": "a", "feature": "phpmumbleadmin_session=", "is_equal": true }, { "label": "b", "feature": "phpmumbleadmin_session=", "is_equal": true }] }, { "name": "phpMoneyBooks", "logic": "a", "rule": [{ "label": "a", "feature": "href='http://phpMoneyBooks.com'>phpMoneyBooks", "is_equal": true }] }, { "name": "PHP_LIVE- Product", "logic": "a||b", "rule": [{ "label": "a", "feature": "Knowledge BASE (FAQ)", "is_equal": true }, { "label": "b", "feature": "Powered by phpRemoteView", "is_equal": true }] }, { "name": "PHP-Support-Tickets", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "title=\\\"php support tickets\\\">PHP Support Tickets", "is_equal": true }, { "label": "b", "feature": "PHP Support Tickets", "is_equal": true }, { "label": "c", "feature": "content=\\\"Triangle Solutions Ltd", "is_equal": true }] }, { "name": "Jin Sanli - Video Monitoring", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "cn=santachi", "is_equal": true }, { "label": "b", "feature": "VISIBILITY: inherit; WIDTH: 200px; Z-INDEX: 2\\\">", "is_equal": true }, { "label": "c", "feature": "//\u5207\u6362iFrame \u51fd\u65700-\u89c6\u9891\u3001\u5f55\u50cf\uff1b1-\u53c2\u6570\u3001\u65e5\u5fd7", "is_equal": true }] }, { "name": "New Jingxiang - Media Activity Management Platform", "logic": "(a&&b)", "rule": [{ "label": "a", "feature": "swiper/swiper.min.css", "is_equal": true }, { "label": "b", "feature": "src=\\\"/kaptcha\\\" id=\\\"kaptcha\\\"", "is_equal": true }] }, { "name": "Crocus", "logic": "(a&&b)", "rule": [{ "label": "a", "feature": "for=\\\"inp_verification\\\"", "is_equal": true }, { "label": "b", "feature": "src=\\\"Images/logo.png\\\"", "is_equal": false }] }, { "name": "Enterprise login management system", "logic": "(a&&b&&c)", "rule": [{ "label": "a", "feature": "Themes/Scripts/FunctionJS.js", "is_equal": true }, { "label": "b", "feature": "txtUserName\\\").focus(); //\u9ed8\u8ba4\u7126\u70b9", "is_equal": true }, { "label": "c", "feature": "id=\\\"cp\\\"", "is_equal": true }] }, { "name": "phpMyBible", "logic": "a", "rule": [{ "label": "a", "feature": "
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", "is_equal": true }] }, { "name": "Kyocera-printer", "logic": "a||b||c||d|| (e&&f) || (g&&h) || (i&&j&&k)", "rule": [{ "label": "a", "feature": "Server: KM-MFP-http", "is_equal": true }, { "label": "b", "feature": "Server: KM-MFP-http", "is_equal": true }, { "label": "c", "feature": "Kyocera Command Center", "is_equal": true }, { "label": "d", "feature": "var modelname=\\\"FS-", "is_equal": true }, { "label": "e", "feature": "var currentpage=\\\"\\\";", "is_equal": true }, { "label": "f", "feature": "var modelname=", "is_equal": true }, { "label": "g", "feature": "snmp", "is_equal": true }, { "label": "h", "feature": "KYOCERA Printer", "is_equal": true }, { "label": "i", "feature": "220", "is_equal": true }, { "label": "j", "feature": " FTP server.", "is_equal": true }, { "label": "k", "feature": "214- FTPD supported commands(RFC959 subset):", "is_equal": true }] }, { "name": "Ciena-5160-Switch", "logic": "a", "rule": [{ "label": "a", "feature": "5160 Service Aggregation Switch", "is_equal": true }] }, { "name": "Ciena-5410-Switch", "logic": "a", "rule": [{ "label": "a", "feature": "5410 Service Aggregation Switch", "is_equal": true }] }, { "name": "Ciena-6500-REARELEC", "logic": "a&&b", "rule": [{ "label": "a", "feature": "6500 REARELEC", "is_equal": true }, { "label": "b", "feature": "Ciena (R) Corporation", "is_equal": true }] }, { "name": "Enterasys-Networks-Firmware", "logic": "a", "rule": [{ "label": "a", "feature": "Enterasys Networks Firmware", "is_equal": true }] }, { "name": "Router product", "logic": "a", "rule": [{ "label": "a", "feature": "802.11n Wireless ADSL 2/2+ Router", "is_equal": true }] }, { "name": "8860-ADSL", "logic": "a", "rule": [{ "label": "a", "feature": "8860-C1. H/W: ADSL-M", "is_equal": true }] }, { "name": "AXIS-video server", "logic": "a&&b", "rule": [{ "label": "a", "feature": "Video Server", "is_equal": true }, { "label": "b", "feature": "axis", "is_equal": true }] }, { "name": "Thomson-CableHome-Gateway", "logic": "a", "rule": [{ "label": "a", "feature": "Thomson CableHome Gateway ", "is_equal": true }] }, { "name": "Hitron-Cable-Gateway", "logic": "(a&&b)", "rule": [{ "label": "a", "feature": "Hitron Technologies", "is_equal": true }, { "label": "b", "feature": "Cable Gateway", "is_equal": true }] }, { "name": "Cisco-Docsis Gateway", "logic": "(a&& (b||c)) || (d&&e)", "rule": [{ "label": "a", "feature": "Cisco ", "is_equal": true }, { "label": "b", "feature": "DOCSIS", "is_equal": true }, { "label": "c", "feature": "EuroDOCSIS", "is_equal": true }, { "label": "d", "feature": "showXHead('Cisco ", "is_equal": true }, { "label": "e", "feature": "Server: couchdb", "is_equal": false }] }, { "name": "CISCO-TelePresence\u89c6\u9891\u4f1a\u8bae", "logic": "a", "rule": [{ "label": "a", "feature": "Cisco TelePresence ", "is_equal": true }] }, { "name": "4Port-ADSL", "logic": "a||b", "rule": [{ "label": "a", "feature": "4 Port ADSL IAD", "is_equal": true }, { "label": "b", "feature": "4 Port ADSL IAD", "is_equal": true }] }, { "name": "Honeywell-450TC module", "logic": "a||b", "rule": [{ "label": "a", "feature": "450TC1", "is_equal": true }, { "label": "b", "feature": "450TC2", "is_equal": true }] }, { "name": "CGEZ-48-Router", "logic": "a", "rule": [{ "label": "a", "feature": "48 FE Ports Routing Switch(CGEZ-48)", "is_equal": true }] }, { "name": "Ciena-5142-Switch", "logic": "a", "rule": [{ "label": "a", "feature": "5142 Service Aggregation Switch", "is_equal": true }] }, { "name": "HISILICON-Hi3518E", "logic": "a", "rule": [{ "label": "a", "feature": "The products of network camera", "is_equal": true }] }, { "name": "LabVIEW", "logic": "a||b", "rule": [{ "label": "a", "feature": "Server: LabVIEW", "is_equal": true }, { "label": "b", "feature": "Server: LabVIEW", "is_equal": true }] }, { "name": "Kordil-EDMS", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "kordil_edms", "is_equal": true }, { "label": "b", "feature": "kordil_edms", "is_equal": true }, { "label": "c", "feature": ">Kordil EDMS", "is_equal": true }] }, { "name": "Dahua-DVR", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "dahua", "is_equal": true }, { "label": "b", "feature": "snmp", "is_equal": true }, { "label": "c", "feature": "Dahuatech DVR", "is_equal": true }] }, { "name": "Coffinkary News", "logic": "a", "rule": [{ "label": "a", "feature": "hw_type=\\\"iMX100AG", "is_equal": true }] }, { "name": "ZTE-Super Convention Center", "logic": "(a||b) &&c", "rule": [{ "label": "a", "feature": "href='./zxms80.css", "is_equal": true }, { "label": "b", "feature": "href=\\\"zxms80.css", "is_equal": true }, { "label": "c", "feature": "Server: couchdb", "is_equal": false }] }, { "name": "Serial port server Eth2232x", "logic": "a", "rule": [{ "label": "a", "feature": "\u4e32\u53e3\u670d\u52a1\u5668---eth2232X", "is_equal": true }] }, { "name": "iSpy-webcam", "logic": "a", "rule": [{ "label": "a", "feature": "Access this server via http://www.ispyconnect.com", "is_equal": true }] }, { "name": "PLANET-webcam", "logic": "a", "rule": [{ "label": "a", "feature": "PLANET IP Surveillance", "is_equal": true }] }, { "name": "UMEYE Case-WebCAM", "logic": "a", "rule": [{ "label": "a", "feature": "name=\\\"utbd_v\\\"", "is_equal": true }] }, { "name": "ISS-webcam", "logic": "a", "rule": [{ "label": "a", "feature": "WEB interface of Inspector", "is_equal": true }] }, { "name": "ISC-BIND-DNS", "logic": "(((a||b) &&c) &&d)", "rule": [{ "label": "a", "feature": "yamutech-bind", "is_equal": true }, { "label": "b", "feature": "BIND server", "is_equal": true }, { "label": "c", "feature": "this is not a 'bind' server", "is_equal": false }, { "label": "d", "feature": "dns", "is_equal": true }] }, { "name": "Sympa-mailing-list-server", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "sympa_session=", "is_equal": true }, { "label": "b", "feature": "sympa_session=", "is_equal": true }, { "label": "c", "feature": "content=\\\"Sympa", "is_equal": true }, { "label": "d", "feature": "alt=\\\"SYMPA logo", "is_equal": true }] }, { "name": "Microsoft-DNS", "logic": "a&&b", "rule": [{ "label": "a", "feature": "dns", "is_equal": true }, { "label": "b", "feature": "Windows", "is_equal": true }] }, { "name": "NLNETLABS-UNBOUND", "logic": "a&&b", "rule": [{ "label": "a", "feature": "dns", "is_equal": true }, { "label": "b", "feature": "Unbound", "is_equal": true }] }, { "name": "Kong", "logic": "a|| (b&&c&&d) || (e&&f&&g)", "rule": [{ "label": "a", "feature": "Kong Dashboard", "is_equal": true }, { "label": "b", "feature": "Server: kong", "is_equal": true }, { "label": "c", "feature": "couchdb", "is_equal": false }, { "label": "d", "feature": "drupal", "is_equal": false }, { "label": "e", "feature": "Server: kong", "is_equal": true }, { "label": "f", "feature": "couchdb", "is_equal": false }, { "label": "g", "feature": "drupal", "is_equal": false }] }, { "name": "SAP-System", "logic": "a||b", "rule": [{ "label": "a", "feature": "realm=\\\"Sap-System", "is_equal": true }, { "label": "b", "feature": "realm=\\\"Sap-System", "is_equal": true }] }, { "name": "easyPress", "logic": "a||b", "rule": [{ "label": "a", "feature": "Easypress-Platform", "is_equal": true }, { "label": "b", "feature": "Easypress-Platform", "is_equal": true }] }, { "name": "IBM-Watchfire", "logic": "a||b", "rule": [{ "label": "a", "feature": "Set-Cookie: WatchfireSessionID", "is_equal": true }, { "label": "b", "feature": "Set-Cookie: WatchfireSessionID", "is_equal": true }] }, { "name": "CISCO-UCSC-C220-M4S", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C220-M4S", "is_equal": true }] }, { "name": "CISCO-UCSC-C240-M5L", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C240-M5L", "is_equal": true }] }, { "name": "CISCO-UCSC-C220-M3S", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C220-M3S", "is_equal": true }] }, { "name": "CISCO-UCSC-C22-M3L", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C22-M3L", "is_equal": true }] }, { "name": "CISCO-UCSC-C220-M5L", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C220-M5L", "is_equal": true }] }, { "name": "CISCO-UCSC-C220-M3L", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C220-M3L", "is_equal": true }] }, { "name": "CISCO-UCSC-C220-M4L", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C220-M4L", "is_equal": true }] }, { "name": "CISCO-UCSC-C220-M5SN", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C220-M5SN", "is_equal": true }] }, { "name": "CISCO-UCSC-C480-M5", "logic": "a", "rule": [{ "label": "a", "feature": "PID:UCSC-C480-M5", "is_equal": true }] }, { "name": "NetApp- Storage", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "Server: NetApp", "is_equal": true }, { "label": "b", "feature": "snmp", "is_equal": true }, { "label": "c", "feature": "NetApp", "is_equal": true }] }, { "name": "microHttp", "logic": "a||b", "rule": [{ "label": "a", "feature": "Server: microHttp", "is_equal": true }, { "label": "b", "feature": "server: microHttp", "is_equal": true }] }, { "name": "Hisilicon-module", "logic": "(a&&b) ||c", "rule": [{ "label": "a", "feature": "UPnP devices", "is_equal": true }, { "label": "b", "feature": "Hisilicon Technologies", "is_equal": true }, { "label": "c", "feature": "Server: Hisilicon Streaming Media Server", "is_equal": true }] }, { "name": "WAP", "logic": "a&&b", "rule": [{ "label": "a", "feature": "UPnP devices", "is_equal": true }, { "label": "b", "feature": "window.location = 'wap.htm'", "is_equal": true }] }, { "name": "MiniServ", "logic": "(a&&b&&c&&d) || (e&&f&&g)", "rule": [{ "label": "a", "feature": "Server: miniserv", "is_equal": true }, { "label": "b", "feature": "couchdb", "is_equal": false }, { "label": "c", "feature": "drupal", "is_equal": false }, { "label": "d", "feature": "couchdb", "is_equal": false }, { "label": "e", "feature": "server: miniserv", "is_equal": true }, { "label": "f", "feature": "couchdb", "is_equal": false }, { "label": "g", "feature": "drupal", "is_equal": false }] }, { "name": "Fusion-Embedded\u2122-FTP", "logic": "a", "rule": [{ "label": "a", "feature": "FUSION FTP", "is_equal": true }] }, { "name": "Huawei- server", "logic": "((a||b|| (c&&d)) &&e) ||f", "rule": [{ "label": "a", "feature": "Server: Huawei-BMC", "is_equal": true }, { "label": "b", "feature": "iMana 200 Login", "is_equal": true }, { "label": "c", "feature": "src=\\\"custom/logo.gif\\\"", "is_equal": true }, { "label": "d", "feature": "control/images/about.gif", "is_equal": true }, { "label": "e", "feature": "couchdb", "is_equal": false }, { "label": "f", "feature": "Server: Huawei-BMC", "is_equal": true }] }, { "name": "Xlight-FTP", "logic": "a", "rule": [{ "label": "a", "feature": "Xlight FTP", "is_equal": true }] }, { "name": "NetMind-product", "logic": "a||b", "rule": [{ "label": "a", "feature": "Netmindsessionid", "is_equal": true }, { "label": "b", "feature": "Netmindsessionid", "is_equal": true }] }, { "name": "FUJITSU-PRIMERGY-tx200", "logic": "a", "rule": [{ "label": "a", "feature": "PRIMERGY-tx200", "is_equal": true }] }, { "name": "FUJITSU-PRIMERGY-TX100", "logic": "a||b", "rule": [{ "label": "a", "feature": "PRIMERGY-TX100", "is_equal": true }, { "label": "b", "feature": "PRIMERGY-TX100", "is_equal": true }] }, { "name": "3Com-Router-5012", "logic": "a", "rule": [{ "label": "a", "feature": "3Com Router 5012", "is_equal": true }] }, { "name": "3Com-Switch-4500", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "3Com Switch 4500", "is_equal": true }, { "label": "b", "feature": "3Com Switch 4500G", "is_equal": true }, { "label": "c", "feature": "Switch 4500", "is_equal": true }] }, { "name": "3Com-Switch-4800G", "logic": "a", "rule": [{ "label": "a", "feature": "3Com Switch 4800G", "is_equal": true }] }, { "name": "HP-Proliant-DL980R07i", "logic": "a", "rule": [{ "label": "a", "feature": "Proliant DL980R07i", "is_equal": true }] }, { "name": "FUJITSU-PRIMERGY-TX1310-M1", "logic": "a||b", "rule": [{ "label": "a", "feature": "PRIMERGY-TX1310-M1", "is_equal": true }, { "label": "b", "feature": "PRIMERGY-TX1310-M1", "is_equal": true }] }, { "name": "HP-DL320e-Gen8", "logic": "a||b", "rule": [{ "label": "a", "feature": "DL320e-Gen8", "is_equal": true }, { "label": "b", "feature": "DL320e-Gen8", "is_equal": true }] }, { "name": "HP-ML310-G5", "logic": "a", "rule": [{ "label": "a", "feature": "ML310-G5", "is_equal": true }] }, { "name": "HP-DL160-G5", "logic": "a", "rule": [{ "label": "a", "feature": "DL160-G5", "is_equal": true }] }, { "name": "HP-PROLIANT-DL380G", "logic": "a", "rule": [{ "label": "a", "feature": "PROLIANT-DL380G", "is_equal": true }] }, { "name": "HP-Integrity-rx2800", "logic": "a||b", "rule": [{ "label": "a", "feature": "rx2800", "is_equal": true }, { "label": "b", "feature": "class=\\\"loginTitleSub\\\">HPE Integrity rx2800", "is_equal": true }] }, { "name": "thttpd", "logic": "(a&&b&&c) || (d&&e&&f)", "rule": [{ "label": "a", "feature": "server: thttpd", "is_equal": true }, { "label": "b", "feature": "couchdb", "is_equal": false }, { "label": "c", "feature": "drupal", "is_equal": false }, { "label": "d", "feature": "server: thttpd", "is_equal": true }, { "label": "e", "feature": "couchdb", "is_equal": false }, { "label": "f", "feature": "drupal", "is_equal": false }] }, { "name": "\u5929\u878d\u4fe1-\u516c\u53f8\u4ea7\u54c1", "logic": "(a&&b&&c) ||d||e||f||g", "rule": [{ "label": "a", "feature": "Server: TOPSEC", "is_equal": true }, { "label": "b", "feature": "couchdb", "is_equal": false }, { "label": "c", "feature": "content=\\\"JnSec Web UI\\\"", "is_equal": false }, { "label": "d", "feature": "Topsec Network Security Technology", "is_equal": true }, { "label": "e", "feature": "Server: topsecos", "is_equal": true }, { "label": "f", "feature": "Server: topsecos", "is_equal": true }, { "label": "g", "feature": "Beijing Topsec Network Security Technology Co.,Ltd", "is_equal": true }] }, { "name": "HUAWEI-Tecal-RH2288H", "logic": "a", "rule": [{ "label": "a", "feature": "Tecal-RH2288H", "is_equal": true }] }, { "name": "Inspur-NF5270M3", "logic": "a", "rule": [{ "label": "a", "feature": "NF5270M3", "is_equal": true }] }, { "name": "Inspur-NF5270M4", "logic": "a", "rule": [{ "label": "a", "feature": "NF5270M4", "is_equal": true }] }, { "name": "Inspur-NF5280M4", "logic": "a||b", "rule": [{ "label": "a", "feature": "NF5280M4", "is_equal": true }, { "label": "b", "feature": "NF5280M4", "is_equal": true }] }, { "name": "IBM-x3650", "logic": "a||b", "rule": [{ "label": "a", "feature": "IBM System x3650", "is_equal": true }, { "label": "b", "feature": "IBM System x3650", "is_equal": true }] }, { "name": "DELL-PowerEdge-R930", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R930", "is_equal": true }] }, { "name": "DELL-PowerEdge-T300", "logic": "a", "rule": [{ "label": "a", "feature": "POWEREDGE-T300", "is_equal": true }] }, { "name": "H3C-OfficeConnect", "logic": "a", "rule": [{ "label": "a", "feature": "3Com Router 3031", "is_equal": true }] }, { "name": "DELL-PowerEdge-1800", "logic": "a||b", "rule": [{ "label": "a", "feature": "PowerEdge-1800", "is_equal": true }, { "label": "b", "feature": "PowerEdge-1800", "is_equal": true }] }, { "name": "3Com-Router-3040", "logic": "a", "rule": [{ "label": "a", "feature": "3Com Router 3040", "is_equal": true }] }, { "name": "NSFOCUS-\u516c\u53f8\u4ea7\u54c1", "logic": "a|| (b&&c)", "rule": [{ "label": "a", "feature": "Server: NSFOCUS", "is_equal": true }, { "label": "b", "feature": "Server: NSFOCUS", "is_equal": true }, { "label": "c", "feature": "couchdb", "is_equal": false }] }, { "name": "DB2-FTP", "logic": "a", "rule": [{ "label": "a", "feature": "db2 FTP server", "is_equal": true }] }, { "name": "IBM-WebSphere", "logic": "a||b||c|| (d&& (e||f) ) ||g", "rule": [{ "label": "a", "feature": "Server: WebSphere", "is_equal": true }, { "label": "b", "feature": "Server: WebSphere", "is_equal": true }, { "label": "c", "feature": "
    IBM WebSphere Application Server", "is_equal": true }, { "label": "d", "feature": "IBM HTTP Server", "is_equal": true }, { "label": "e", "feature": "websphere", "is_equal": true }, { "label": "f", "feature": "com.ibm.websphere.ihs.doc", "is_equal": true }, { "label": "g", "feature": "content=\\\"WebSphere Application Server", "is_equal": true }] }, { "name": "Rtsp-Server", "logic": "a||b", "rule": [{ "label": "a", "feature": "Server: Rtsp Server", "is_equal": true }, { "label": "b", "feature": "Server: Rtsp Server", "is_equal": true }] }, { "name": "Windows-Management-Instrumentation\uff08WMI\uff09", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "Server: WMI v3", "is_equal": true }, { "label": "b", "feature": "Server: WMI v3", "is_equal": true }, { "label": "c", "feature": "Server: WMI v5", "is_equal": true }, { "label": "d", "feature": "Server: WMI v5", "is_equal": true }] }, { "name": "DELL-PowerEdge-4400", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge 4400", "is_equal": true }] }, { "name": "DELL-PowerEdge-2850", "logic": "a||b", "rule": [{ "label": "a", "feature": "PowerEdge 2850", "is_equal": true }, { "label": "b", "feature": "PowerEdge 2850", "is_equal": true }] }, { "name": "Cisco-Codian Video Conference", "logic": "(a&&b) ||c||d||e||f||g", "rule": [{ "label": "a", "feature": "rtsp", "is_equal": true }, { "label": "b", "feature": "Server: Codian MCU ", "is_equal": true }, { "label": "c", "feature": "Codian IP ", "is_equal": true }, { "label": "d", "feature": "Codian ISDN ", "is_equal": true }, { "label": "e", "feature": "Codian MCU ", "is_equal": true }, { "label": "f", "feature": "Codian MCU", "is_equal": true }, { "label": "g", "feature": "Codian MSE ", "is_equal": true }] }, { "name": "DELL-PowerEdge-T100", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-T100", "is_equal": true }] }, { "name": "DELL-PowerEdge-SC1425", "logic": "a||b", "rule": [{ "label": "a", "feature": "PowerEdge-SC1425", "is_equal": true }, { "label": "b", "feature": "PowerEdge-SC1425", "is_equal": true }] }, { "name": "HP-DL380-GEN10", "logic": "a||b", "rule": [{ "label": "a", "feature": "DL380-GEN10", "is_equal": true }, { "label": "b", "feature": "DL380-GEN10", "is_equal": true }] }, { "name": "HP-DL180-G6", "logic": "a||b", "rule": [{ "label": "a", "feature": "DL180-G6", "is_equal": true }, { "label": "b", "feature": "DL180-G6", "is_equal": true }] }, { "name": "HP-ProLiant-MicroServer-Gen8", "logic": "a||b", "rule": [{ "label": "a", "feature": "PROLIANT-MICROSERVER-GEN8", "is_equal": true }, { "label": "b", "feature": "PROLIANT-MICROSERVER-GEN8", "is_equal": true }] }, { "name": "HP-ML30-GEN9", "logic": "a||b", "rule": [{ "label": "a", "feature": "ML30-GEN9", "is_equal": true }, { "label": "b", "feature": "ML30-GEN9", "is_equal": true }] }, { "name": "HP-DL380-G5", "logic": "a||b", "rule": [{ "label": "a", "feature": "DL380-G5", "is_equal": true }, { "label": "b", "feature": "DL380-G5", "is_equal": true }] }, { "name": "HP-DL380-GEN9", "logic": "a||b", "rule": [{ "label": "a", "feature": "DL380-GEN9", "is_equal": true }, { "label": "b", "feature": "DL380-GEN9", "is_equal": true }] }, { "name": "HP-DL380p-Gen8", "logic": "a", "rule": [{ "label": "a", "feature": "DL380p-Gen8", "is_equal": true }] }, { "name": "HP-ProLiant-ML350", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "PROLIANT-ML350", "is_equal": true }, { "label": "b", "feature": "PROLIANT-ML350", "is_equal": true }, { "label": "c", "feature": "PROLIANT-ML350", "is_equal": true }] }, { "name": "HP-ML310e-Gen8", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "ML310e-Gen8", "is_equal": true }, { "label": "b", "feature": "ML310e-Gen8", "is_equal": true }, { "label": "c", "feature": "ML310e-Gen8", "is_equal": true }] }, { "name": "FortiMail", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "FortiMail", "is_equal": true }, { "label": "b", "feature": "fortimail login", "is_equal": true }, { "label": "c", "feature": 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}, { "label": "u", "feature": "

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    \u4e07\u89e3 - \u4e1c\u65b9\u7f51\u529b:

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"feature": "var tmphn = \\\"idrac-FCZXMW1\\\"", "is_equal": true }] }, { "name": "DELL-PowerEdge-T430", "logic": "a||b||c||d", "rule": [{ "label": "a", "feature": "poweredge-t430", "is_equal": true }, { "label": "b", "feature": "poweredge-t430", "is_equal": true }, { "label": "c", "feature": "https://user-PowerEdge-T430:10000", "is_equal": true }, { "label": "d", "feature": "PowerEdge-T430", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R220", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "POWEREDGE-R220", "is_equal": true }, { "label": "b", "feature": "POWEREDGE-R220", "is_equal": true }, { "label": "c", "feature": "POWEREDGE-R220", "is_equal": true }] }, { "name": "DELL-PowerEdge-R630", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R630", "is_equal": true }] }, { "name": "DELL-PowerEdge-R610", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R610", "is_equal": true }] }, { "name": "DELL-PowerEdge-400SC", "logic": "a||b", "rule": [{ "label": "a", "feature": "PowerEdge-400SC", "is_equal": true }, { "label": "b", "feature": "PowerEdge-400SC", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R510", "logic": "a||b", "rule": [{ "label": "a", "feature": "POWEREDGE-R510", "is_equal": true }, { "label": "b", "feature": "POWEREDGE-R510", "is_equal": true }] }, { "name": "DELL-PowerEdge-2950", "logic": "a||b", "rule": [{ "label": "a", "feature": "PowerEdge-2950", "is_equal": true }, { "label": "b", "feature": "PowerEdge-2950", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R540", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "PowerEdge-R540", "is_equal": true }, { "label": "b", "feature": "PowerEdge-R540", "is_equal": true }, { "label": "c", "feature": "PowerEdge-R540", "is_equal": true }] }, { "name": "DELL-PowerEdge-2650", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge 2650", "is_equal": true }] }, { "name": "DELL-PowerEdge-2900", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-2900", "is_equal": true }] }, { "name": "DELL-PowerEdge-T105", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-T105", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R730XD", "logic": "a||b", "rule": [{ "label": "a", "feature": "POWEREDGE-R730XD", "is_equal": true }, { "label": "b", "feature": "POWEREDGE-R730XD", "is_equal": true }] }, { "name": "DELL-PowerEdge-R200", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R200", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R300", "logic": "a", "rule": [{ "label": "a", "feature": "POWEREDGE-R300", "is_equal": true }] }, { "name": "DELL-PowerEdge-1950", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "PowerEdge-1950", "is_equal": true }, { "label": "b", "feature": "PowerEdge-1950", "is_equal": true }, { "label": "c", "feature": "POWEREDGE--1950/cgi-bin/sicweb.exe", "is_equal": true }] }, { "name": "DELL-poweredge-c6100", "logic": "a", "rule": [{ "label": "a", "feature": "poweredge-c6100", "is_equal": true }] }, { "name": "DELL-PowerEdge-T140", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-T140", "is_equal": true }] }, { "name": "DELL-PowerEdge-R530", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "PowerEdge-R530", "is_equal": true }, { "label": "b", "feature": "PowerEdge-R530", "is_equal": true }, { "label": "c", "feature": "PowerEdge-R530", "is_equal": true }] }, { "name": "DELL-PowerEdge-750", "logic": "a||b", "rule": [{ "label": "a", "feature": "poweredge-750", "is_equal": true }, { "label": "b", "feature": "poweredge-750", "is_equal": true }] }, { "name": "DELL-PowerEdge-R740xd", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R740xd", "is_equal": true }] }, { "name": "DELL-PowerEdge-R740", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R740", "is_equal": true }] }, { "name": "DELL-PowerEdge-T610", "logic": "a||b", "rule": [{ "label": "a", "feature": "PowerEdge-T610", "is_equal": true }, { "label": "b", "feature": "PowerEdge-T610", "is_equal": true }] }, { "name": "DELL-PowerEdge-R910", "logic": "a", "rule": [{ "label": "a", "feature": "PowerEdge-R910", "is_equal": true }] }, { "name": "DELL-POWEREDGE-R210", "logic": "a||b||c", "rule": [{ "label": "a", "feature": "POWEREDGE-R210", "is_equal": true }, { "label": "b", "feature": "POWEREDGE-R210", "is_equal": true }, { "label": "c", "feature": "poweredge-r210-ii

    Error

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Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main() ================================================ FILE: backend/pyproject.toml ================================================ [tool.pytest.ini_options] DJANGO_SETTINGS_MODULE = "config.settings" python_files = ["test_*.py", "*_test.py"] python_classes = ["Test*"] python_functions = ["test_*"] testpaths = ["apps"] addopts = "-v --reuse-db" [tool.pylint] django-settings-module = "config.settings" load-plugins = "pylint_django" [tool.pylint.messages_control] disable = [ "missing-docstring", "invalid-name", "too-few-public-methods", "no-member", "import-error", "no-name-in-module", "wrong-import-position", # 允许函数内导入（防循环依赖） "import-outside-toplevel", # 同上 "too-many-arguments", # Django 视图/服务方法参数常超过5个 "too-many-locals", # 复杂业务逻辑局部变量多 "duplicate-code", # 某些模式代码相似是正常的 ] [tool.pylint.format] max-line-length = 120 [tool.pylint.basic] good-names = [ "i", "j", "k", "ex", "Run", "_", "id", "pk", "ip", "url", "db", "qs", ] ================================================ FILE: backend/requirements.txt ================================================ # Django 核心 Django==5.2.7 djangorestframework==3.15.2 djangorestframework-camel-case==1.4.2 psycopg2-binary==2.9.10 # API 文档 drf-yasg==1.21.7 setuptools==75.6.0 # CORS 支持 django-cors-headers==4.3.1 # 过滤器支持 django-filter==24.3 # 环境变量管理 python-dotenv==1.0.1 # 异步任务和工作流编排 prefect==3.4.25 fastapi==0.115.5 # 锁定版本，0.123+ 与 Prefect 不兼容 redis==5.0.3 # 可选：用于缓存 APScheduler>=3.10.0 # 定时任务调度器 # WebSocket 支持 channels==4.0.0 channels-redis==4.2.0 uvicorn[standard]==0.30.1 # SSH & 远程部署 paramiko>=3.0.0 # Docker 管理 docker>=6.0.0 # Python Docker SDK packaging>=21.0 # 版本比较 # 测试框架 pytest==8.0.0 pytest-django==4.7.0 hypothesis>=6.100.0 # 属性测试框架 # 工具库 python-dateutil==2.9.0 Pillow>=10.0.0 # 图像处理（截图服务） playwright>=1.40.0 # 浏览器自动化（截图服务） pytz==2024.1 validators==0.22.0 PyYAML==6.0.1 ruamel.yaml>=0.18.0 # 保留注释的 YAML 解析 colorlog==6.8.2 # 彩色日志输出 python-json-logger==2.0.7 # JSON 结构化日志 Jinja2>=3.1.6 # 命令模板引擎 croniter>=2.0.0 # Cron 表达式解析（定时扫描） psutil>=5.9.0 # 缓存 cachetools>=5.3.0 ================================================ FILE: backend/resources/resolvers.txt ================================================ 99.99.99.193 99.93.24.105 99.92.207.51 99.87.255.60 99.83.147.72 99.79.50.252 99.79.182.170 99.70.82.25 99.42.199.193 99.227.243.184 98.28.219.202 98.26.23.128 98.213.193.14 98.213.192.240 98.213.192.223 98.213.192.217 98.191.57.131 98.189.213.222 98.186.137.171 98.185.36.75 98.175.83.14 98.175.116.85 98.171.255.37 98.164.41.54 98.154.40.78 98.154.21.253 98.153.167.29 98.153.113.3 98.152.244.50 98.152.244.34 98.13.82.63 98.124.65.10 98.116.5.254 98.114.102.244 98.102.44.156 98.102.248.54 98.102.153.162 98.101.59.106 98.101.240.164 98.101.194.137 98.100.232.5 97.94.219.213 97.90.61.98 97.87.21.84 97.84.39.242 97.79.42.154 97.78.76.116 97.78.189.245 97.75.162.89 97.74.87.35 97.74.86.124 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200.58.180.50 200.57.7.61 200.56.98.145 200.56.98.113 200.56.224.11 200.56.117.25 200.55.59.102 200.55.59.101 200.55.248.253 200.54.9.138 200.54.51.6 200.54.22.74 200.52.80.60 200.5.90.102 200.5.119.178 200.5.115.26 200.49.1.8 200.45.14.178 200.44.190.134 200.41.174.20 200.41.102.254 200.39.23.4 200.37.71.3 200.37.203.90 200.35.94.41 200.35.79.41 200.35.110.9 200.33.3.123 200.29.255.3 200.29.255.2 200.29.109.112 200.29.108.64 200.25.254.134 200.248.178.54 200.24.131.97 200.229.252.65 200.229.252.196 200.229.252.171 200.229.252.17 200.221.11.101 200.221.11.100 200.219.224.172 200.214.186.3 200.21.227.130 200.207.143.93 200.201.191.91 200.2.116.245 200.195.170.186 200.195.154.122 200.19.203.1 200.186.194.135 200.186.1.135 200.182.63.96 200.171.40.210 200.169.8.1 200.169.2.2 200.150.103.60 200.142.106.130 200.125.171.220 200.125.171.219 200.125.171.171 200.125.171.170 200.125.171.117 200.124.124.190 200.123.208.126 200.12.251.226 200.119.222.242 200.116.231.27 200.114.96.11 200.114.113.67 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124.40.249.202 124.35.154.159 124.35.115.150 124.33.8.69 124.32.115.205 124.254.74.246 124.248.191.83 124.155.197.234 124.146.185.97 124.137.207.115 124.107.131.17 124.107.126.1 124.107.105.97 124.106.99.238 124.106.234.45 124.106.13.147 124.106.103.113 124.105.219.222 124.105.219.198 124.105.219.106 124.105.217.62 124.105.217.50 124.105.214.82 124.105.214.174 124.105.214.110 124.105.212.198 124.105.212.194 124.105.212.158 124.105.212.146 124.105.209.234 124.105.157.110 124.105.154.90 124.105.154.238 124.105.151.86 124.105.150.94 123.51.244.77 123.49.39.106 123.30.27.24 123.30.210.134 123.30.187.240 123.30.184.141 123.30.175.83 123.30.175.82 123.30.116.18 123.252.254.74 123.252.254.26 123.252.254.22 123.252.215.25 123.252.214.45 123.252.213.83 123.25.15.217 123.25.129.97 123.248.242.21 123.243.55.86 123.24.206.120 123.226.235.68 123.215.198.209 123.205.156.16 123.200.168.132 123.200.11.90 123.176.98.140 123.176.4.39 123.176.4.227 123.176.4.224 123.176.4.2 123.176.31.226 123.176.27.94 123.142.124.146 123.140.194.2 123.109.246.249 122.55.80.210 122.55.4.89 122.55.34.214 122.55.31.181 122.55.242.174 122.55.236.166 122.55.216.174 122.55.204.1 122.55.203.38 122.55.16.1 122.55.159.150 122.55.158.66 122.55.158.162 122.55.145.178 122.55.145.150 122.55.143.226 122.55.143.170 122.55.142.178 122.55.142.154 122.55.111.98 122.55.102.170 122.54.95.78 122.54.86.193 122.54.86.1 122.54.78.230 122.54.69.14 122.54.69.130 122.54.62.137 122.54.51.2 122.54.23.49 122.54.21.218 122.54.17.114 122.53.95.26 122.53.95.126 122.53.221.170 122.53.218.12 122.53.214.65 122.53.213.74 122.53.191.170 122.53.190.38 122.53.184.177 122.53.179.133 122.53.148.218 122.53.148.193 122.53.122.234 122.52.251.163 122.52.229.125 122.52.117.51 122.3.232.38 122.3.22.133 122.3.205.241 122.252.241.166 122.252.222.157 122.214.1.141 122.211.89.209 122.210.62.171 122.2.5.42 122.2.29.66 122.187.48.102 122.186.116.209 122.185.99.78 122.185.99.106 122.185.251.225 122.185.198.242 122.185.135.135 122.185.113.244 122.18.242.92 122.18.232.147 122.160.254.158 122.155.37.109 122.155.1.72 122.154.136.56 122.15.192.21 122.147.248.147 122.117.187.15 122.117.151.111 122.116.8.109 122.11.249.26 122.1.33.1 121.91.48.192 121.78.116.111 121.58.248.195 121.58.203.4 121.50.200.15 121.4.4.41 121.4.4.246 121.254.193.196 121.254.171.228 121.254.134.99 121.202.148.156 121.189.15.8 121.188.121.59 121.184.236.110 121.183.253.122 121.183.146.212 121.182.244.180 121.182.199.17 121.182.194.189 121.181.11.82 121.180.180.71 121.180.117.234 121.176.16.144 121.174.253.216 121.174.236.100 121.166.56.200 121.166.237.218 121.166.237.204 121.166.157.11 121.156.65.149 121.156.120.240 121.156.104.183 121.156.104.182 121.155.94.225 121.153.88.212 121.152.181.152 121.151.111.5 121.146.2.10 121.139.218.165 121.133.171.50 121.131.194.203 121.129.56.60 121.128.176.211 121.125.71.40 121.125.71.213 121.125.68.67 121.122.55.58 121.119.138.109 120.88.120.137 120.72.85.169 120.72.85.167 120.72.106.125 120.57.113.146 120.53.53.84 120.53.53.198 120.53.53.137 120.53.53.116 120.50.42.142 120.28.196.176 120.28.194.84 120.138.27.84 120.138.22.174 12.97.172.197 12.71.198.244 12.71.108.154 12.68.237.194 12.55.50.170 12.51.21.245 12.40.39.6 12.40.39.5 12.28.98.3 12.221.3.59 12.221.135.162 12.218.209.130 12.216.90.50 12.216.22.17 12.200.123.164 12.20.121.22 12.189.150.34 12.186.153.128 12.181.159.78 12.171.191.58 12.148.208.86 12.127.17.72 12.127.17.71 12.127.16.77 12.127.16.67 12.12.131.134 12.109.212.19 12.107.114.42 12.0.210.194 119.93.121.146 119.92.80.57 119.92.65.97 119.92.223.242 119.92.197.6 119.92.192.241 119.92.191.34 119.92.187.97 119.92.163.10 119.92.150.133 119.92.117.102 119.9.73.44 119.75.28.242 119.73.184.241 119.73.138.17 119.73.105.7 119.68.137.99 119.59.117.3 119.59.113.138 119.207.62.155 119.205.209.167 119.204.80.25 119.203.236.251 119.201.211.21 119.201.108.71 119.199.215.81 119.198.142.165 119.197.120.3 119.18.36.102 119.17.75.70 119.156.24.134 119.152.243.157 119.110.212.115 119.10.181.138 118.99.210.36 118.98.223.17 118.91.129.65 118.91.10.17 118.70.203.68 118.70.177.223 118.69.65.41 118.69.246.104 118.69.197.82 118.69.157.184 118.69.134.83 118.69.109.45 118.47.242.4 118.45.48.177 118.40.29.112 118.38.9.207 118.37.195.251 118.3.227.163 118.26.111.53 118.238.203.252 118.238.11.132 118.233.57.133 118.232.137.224 118.220.172.122 118.220.16.99 118.218.6.137 118.217.180.182 118.21.162.12 118.201.56.26 118.201.53.209 118.201.211.82 118.201.187.122 118.179.84.158 118.175.16.66 118.173.197.174 118.163.7.54 118.163.40.163 118.143.97.54 118.127.62.178 118.103.239.9 118.103.239.33 117.55.243.14 117.54.3.237 117.53.152.76 117.52.99.143 117.4.91.86 117.206.156.235 117.20.67.244 117.20.54.245 117.20.54.242 117.2.80.119 117.2.18.50 117.16.191.7 117.122.125.106 117.121.215.99 117.121.215.101 117.103.228.101 117.102.214.93 116.91.115.190 116.82.248.104 116.73.110.135 116.71.135.74 116.68.126.100 116.58.187.189 116.50.230.138 116.50.180.210 116.48.144.195 116.48.132.6 116.250.217.39 116.212.100.98 116.203.32.217 116.203.181.6 116.203.180.236 116.202.21.65 116.125.157.67 116.125.124.79 116.122.39.197 116.121.52.43 116.121.27.10 116.120.11.6 116.12.215.137 116.12.206.109 116.12.172.241 116.118.119.167 116.100.88.123 115.99.215.16 115.99.213.7 115.99.212.118 115.99.187.128 115.99.102.41 115.96.208.210 115.96.149.199 115.95.56.126 115.84.79.71 115.79.7.63 115.79.5.78 115.73.220.183 115.70.225.190 115.69.240.6 115.68.110.146 115.42.222.113 115.42.210.81 115.42.204.234 115.31.133.178 115.23.219.218 115.178.53.146 115.160.160.146 115.147.21.134 115.146.254.38 115.146.252.198 115.146.250.193 115.146.249.49 115.146.199.242 115.146.192.90 115.146.192.218 115.146.189.170 115.146.174.102 115.146.127.181 115.146.120.140 115.126.20.15 114.7.120.14 114.6.46.153 114.34.176.73 114.33.89.166 114.33.53.151 114.33.41.219 114.32.23.229 114.199.226.206 114.198.144.44 114.179.13.90 114.160.59.146 114.160.203.201 114.160.194.67 114.156.146.116 114.143.91.103 114.143.88.197 114.143.37.233 114.143.34.54 114.143.34.228 114.143.34.218 114.130.5.6 114.130.5.5 114.114.115.115 114.114.114.114 114.108.141.187 113.61.224.12 113.52.197.14 113.42.99.133 113.28.94.231 113.28.71.243 113.28.67.147 113.28.67.105 113.255.5.34 113.22.113.64 113.198.254.2 113.196.55.130 113.190.253.229 113.176.7.202 113.174.246.243 113.165.96.215 113.165.94.135 113.164.80.4 113.163.222.44 113.162.247.163 113.161.76.34 113.161.71.132 113.161.30.2 113.161.230.20 113.161.230.19 113.161.208.18 113.161.196.15 113.161.180.214 113.161.18.44 113.161.169.161 113.161.163.169 113.161.116.150 113.160.250.45 113.160.232.172 113.160.227.246 113.160.226.179 113.160.155.57 113.160.116.252 113.149.254.97 112.76.169.12 112.76.132.49 112.220.81.150 112.216.251.98 112.216.19.69 112.216.19.68 112.216.138.50 112.199.115.40 112.198.179.23 112.196.19.243 112.186.103.96 112.175.232.142 112.173.44.139 112.172.7.207 112.169.182.143 112.157.117.247 112.154.101.76 112.133.241.244 112.133.198.54 112.133.114.222 112.121.184.34 111.92.96.96 111.92.96.19 111.92.85.233 111.92.189.105 111.92.106.148 111.92.105.39 111.92.100.55 111.68.108.215 111.68.108.200 111.125.72.190 111.118.223.243 111.118.147.236 110.9.165.5 110.78.18.44 110.77.149.172 110.76.152.20 110.49.95.45 110.49.78.20 110.49.144.179 110.49.124.74 110.49.124.73 110.49.123.26 110.49.123.187 110.49.11.170 110.45.182.88 110.44.123.48 110.4.40.214 110.174.24.94 110.170.140.105 110.164.95.66 110.164.71.170 110.164.241.236 110.164.193.206 110.164.151.194 110.164.139.66 110.164.139.186 110.15.182.99 110.15.182.145 110.145.166.222 110.145.154.62 110.143.26.239 110.143.148.183 110.142.40.60 109.96.66.14 109.92.27.159 109.92.133.78 109.75.45.3 109.75.41.201 109.73.42.171 109.73.39.154 109.72.239.247 109.69.6.30 109.68.15.212 109.68.14.61 109.5.33.66 109.248.212.9 109.248.2.1 109.248.157.46 109.248.157.118 109.245.230.145 109.241.116.68 109.238.224.178 109.237.94.186 109.235.216.5 109.234.249.10 109.234.248.10 109.233.192.72 109.232.88.4 109.232.88.3 109.228.8.84 109.228.8.83 109.228.22.126 109.228.21.223 109.228.16.144 109.228.1.132 109.228.0.238 109.226.199.197 109.224.233.190 109.224.233.174 109.203.100.192 109.202.11.6 109.200.180.226 109.199.77.76 109.199.253.44 109.197.71.34 109.197.107.104 109.195.146.245 109.194.118.24 109.168.65.86 109.163.232.228 109.160.96.238 109.125.204.16 109.117.16.197 109.111.9.14 109.111.8.0 109.111.75.114 109.111.117.212 109.111.112.58 109.110.44.12 109.110.40.41 109.110.40.214 109.110.238.65 109.105.55.39 109.105.45.31 109.105.45.30 109.105.40.34 108.41.102.212 108.162.196.93 108.162.196.91 108.162.196.79 108.162.196.77 108.162.196.75 108.162.196.67 108.162.196.62 108.162.196.3 108.162.196.245 108.162.196.238 108.162.196.229 108.162.196.219 108.162.196.212 108.162.196.21 108.162.196.205 108.162.196.20 108.162.196.199 108.162.196.180 108.162.196.173 108.162.196.17 108.162.196.16 108.162.196.15 108.162.196.129 108.162.196.12 108.162.195.95 108.162.195.94 108.162.195.93 108.162.195.91 108.162.195.8 108.162.195.7 108.162.195.67 108.162.195.65 108.162.195.45 108.162.195.42 108.162.195.36 108.162.195.31 108.162.195.30 108.162.195.29 108.162.195.247 108.162.195.246 108.162.195.220 108.162.195.208 108.162.195.202 108.162.195.197 108.162.195.183 108.162.195.181 108.162.195.172 108.162.195.167 108.162.195.163 108.162.195.137 108.162.195.135 108.162.195.132 108.162.195.127 108.162.195.118 108.162.195.113 108.162.194.93 108.162.194.87 108.162.194.85 108.162.194.78 108.162.194.64 108.162.194.6 108.162.194.56 108.162.194.5 108.162.194.40 108.162.194.36 108.162.194.35 108.162.194.32 108.162.194.3 108.162.194.252 108.162.194.251 108.162.194.25 108.162.194.249 108.162.194.24 108.162.194.23 108.162.194.229 108.162.194.227 108.162.194.215 108.162.194.213 108.162.194.201 108.162.194.193 108.162.194.186 108.162.194.182 108.162.194.180 108.162.194.177 108.162.194.159 108.162.194.153 108.162.194.152 108.162.194.150 108.162.194.141 108.162.194.127 108.162.194.120 108.162.194.112 108.162.194.11 108.162.194.105 108.162.194.103 108.162.194.10 108.162.193.99 108.162.193.94 108.162.193.83 108.162.193.70 108.162.193.37 108.162.193.33 108.162.193.32 108.162.193.250 108.162.193.242 108.162.193.227 108.162.193.226 108.162.193.225 108.162.193.224 108.162.193.221 108.162.193.207 108.162.193.201 108.162.193.198 108.162.193.181 108.162.193.161 108.162.193.154 108.162.193.151 108.162.193.139 108.162.193.130 108.162.193.112 108.162.193.111 108.162.193.108 108.162.193.106 108.162.193.104 108.162.192.8 108.162.192.79 108.162.192.66 108.162.192.65 108.162.192.45 108.162.192.35 108.162.192.3 108.162.192.27 108.162.192.254 108.162.192.248 108.162.192.238 108.162.192.237 108.162.192.234 108.162.192.208 108.162.192.200 108.162.192.19 108.162.192.185 108.162.192.183 108.162.192.164 108.162.192.162 108.162.192.149 108.162.192.146 108.162.192.140 108.162.192.14 108.162.192.136 108.162.192.134 108.162.192.127 108.162.192.124 108.161.133.137 107.80.51.240 107.80.230.195 107.80.230.178 107.241.236.99 107.241.236.106 107.241.170.173 107.189.31.10 107.182.193.69 107.170.102.45 107.144.121.130 107.130.51.137 107.125.177.89 107.0.218.126 106.0.61.250 105.30.247.93 105.29.89.225 105.255.121.94 105.247.182.102 105.244.179.78 105.244.179.225 105.243.201.129 105.243.179.28 105.243.179.199 105.243.179.17 105.243.178.87 105.242.63.54 104.60.85.131 104.245.55.17 104.245.144.98 104.232.6.1 104.207.130.197 104.187.69.92 104.168.159.220 104.155.237.225 104.131.163.103 103.99.150.10 103.99.110.113 103.95.148.6 103.93.150.184 103.90.162.6 103.9.88.154 103.86.99.100 103.86.96.100 103.86.135.166 103.86.103.29 103.84.96.6 103.84.132.2 103.84.119.230 103.84.119.226 103.84.119.192 103.84.119.172 103.83.33.13 103.82.242.153 103.82.241.138 103.80.1.193 103.79.74.1 103.78.35.229 103.77.227.162 103.77.188.19 103.77.188.18 103.74.230.32 103.74.228.89 103.74.228.39 103.74.228.177 103.7.172.8 103.7.172.7 103.68.156.122 103.67.152.193 103.65.240.147 103.59.52.3 103.59.176.154 103.58.120.120 103.57.71.89 103.57.71.38 103.57.71.2 103.57.71.156 103.57.71.145 103.57.71.140 103.57.71.137 103.57.71.120 103.57.71.102 103.57.70.98 103.57.70.62 103.57.70.34 103.57.70.220 103.57.70.103 103.53.228.24 103.51.144.216 103.51.144.214 103.51.144.212 103.51.139.51 103.50.215.236 103.5.148.99 103.5.148.100 103.48.78.157 103.48.78.156 103.48.207.78 103.35.140.52 103.35.140.43 103.30.245.97 103.28.39.63 103.28.37.218 103.28.114.57 103.26.170.103 103.251.105.188 103.250.28.6 103.249.33.206 103.247.156.200 103.246.244.143 103.242.58.167 103.242.58.166 103.242.124.7 103.241.181.28 103.239.32.81 103.239.32.36 103.239.165.34 103.237.97.164 103.237.147.46 103.237.127.20 103.232.32.246 103.23.223.249 103.228.35.43 103.225.36.238 103.225.36.226 103.22.245.50 103.22.181.122 103.217.216.122 103.215.16.230 103.213.202.166 103.211.26.243 103.211.153.41 103.209.199.8 103.209.199.6 103.209.199.114 103.209.199.107 103.206.247.194 103.205.178.9 103.204.68.85 103.204.68.48 103.204.68.219 103.204.68.165 103.204.246.241 103.202.221.88 103.202.221.69 103.202.221.53 103.202.221.40 103.202.221.34 103.202.221.224 103.202.221.210 103.202.221.200 103.202.221.178 103.202.221.163 103.202.221.149 103.202.221.12 103.202.221.107 103.200.218.78 103.200.218.77 103.20.28.2 103.20.184.97 103.20.184.81 103.20.152.11 103.198.19.2 103.196.38.8 103.196.38.39 103.196.38.38 103.196.16.2 103.196.136.7 103.191.85.74 103.191.85.56 103.191.85.50 103.191.85.46 103.191.85.45 103.191.85.168 103.191.85.164 103.191.84.84 103.191.84.54 103.191.84.50 103.191.84.28 103.191.84.186 103.191.84.112 103.191.84.10 103.190.43.95 103.190.43.24 103.190.43.227 103.190.43.148 103.190.178.190 103.190.169.4 103.186.253.5 103.186.253.244 103.186.253.243 103.186.253.240 103.186.253.185 103.186.253.114 103.186.253.112 103.186.253.109 103.186.252.56 103.186.252.29 103.186.252.218 103.185.25.167 103.184.180.241 103.183.16.25 103.181.123.94 103.181.123.9 103.181.123.86 103.181.123.83 103.181.123.76 103.181.123.68 103.181.123.65 103.181.123.5 103.181.123.36 103.181.123.241 103.181.123.231 103.181.123.212 103.181.123.196 103.181.123.19 103.181.123.188 103.181.123.141 103.181.123.134 103.181.123.109 103.181.122.92 103.181.122.6 103.181.122.249 103.181.122.241 103.181.122.236 103.181.122.17 103.181.122.16 103.181.122.158 103.181.122.148 103.181.122.131 103.181.122.108 103.181.122.105 103.181.122.101 103.18.138.20 103.179.182.47 103.179.182.237 103.178.86.41 103.178.194.131 103.177.234.10 103.176.159.18 103.175.2.235 103.174.224.9 103.174.224.87 103.174.224.84 103.174.224.70 103.174.224.50 103.174.224.41 103.174.224.39 103.174.224.38 103.174.224.247 103.174.224.241 103.174.224.225 103.174.224.222 103.174.224.22 103.174.224.21 103.174.224.208 103.174.224.184 103.174.224.151 103.174.224.140 103.174.224.124 103.174.224.119 103.174.224.117 103.174.224.10 103.174.224.0 103.174.102.61 103.173.173.173 103.173.152.233 103.172.197.43 103.172.172.51 103.171.182.73 103.171.180.48 103.170.90.121 103.170.172.95 103.170.172.79 103.170.172.77 103.170.172.73 103.170.172.61 103.170.172.50 103.170.172.38 103.170.172.3 103.170.172.254 103.170.172.252 103.170.172.249 103.170.172.246 103.170.172.232 103.170.172.221 103.170.172.220 103.170.172.203 103.170.172.199 103.170.172.185 103.170.172.182 103.170.172.175 103.170.172.164 103.170.172.163 103.170.172.162 103.170.172.157 103.170.172.151 103.170.172.148 103.170.172.147 103.170.172.138 103.170.172.127 103.170.172.113 103.170.172.111 103.17.176.84 103.17.176.81 103.17.176.73 103.17.176.32 103.17.176.31 103.17.176.3 103.17.176.251 103.17.176.240 103.17.176.231 103.17.176.215 103.17.176.214 103.17.176.182 103.17.176.181 103.17.176.175 103.17.176.173 103.17.176.146 103.17.176.133 103.17.176.128 103.17.176.117 103.17.176.115 103.169.187.67 103.168.29.185 103.168.177.230 103.166.171.69 103.165.4.82 103.165.39.50 103.165.165.68 103.165.154.1 103.165.118.76 103.165.118.179 103.164.116.180 103.163.117.61 103.163.117.223 103.162.57.37 103.161.42.2 103.161.31.137 103.161.128.130 103.161.128.128 103.16.63.166 103.16.25.47 103.16.25.46 103.16.118.11 103.159.251.209 103.159.195.40 103.159.195.234 103.159.195.156 103.157.152.6 103.156.86.78 103.156.86.29 103.156.75.132 103.156.66.254 103.156.239.193 103.156.239.106 103.155.64.208 103.155.42.204 103.155.42.150 103.155.42.130 103.155.199.45 103.155.198.142 103.155.174.87 103.155.174.85 103.155.174.68 103.155.174.113 103.155.174.109 103.154.49.74 103.154.241.252 103.154.2.93 103.154.16.58 103.154.16.5 103.154.16.34 103.154.16.32 103.154.16.30 103.154.16.255 103.154.16.25 103.154.16.238 103.154.16.228 103.154.16.217 103.154.16.210 103.154.16.208 103.154.16.177 103.154.16.148 103.154.16.136 103.154.16.128 103.154.16.115 103.154.16.101 103.153.49.82 103.153.49.41 103.153.49.251 103.153.48.83 103.153.48.27 103.153.48.25 103.153.191.42 103.153.190.78 103.153.190.238 103.152.143.244 103.152.101.135 103.151.246.46 103.151.226.62 103.151.226.42 103.151.155.21 103.15.246.182 103.149.165.83 103.149.165.162 103.148.178.80 103.148.178.77 103.148.178.7 103.148.178.63 103.148.178.59 103.148.178.54 103.148.178.50 103.148.178.35 103.148.178.3 103.148.178.20 103.148.178.179 103.148.178.161 103.148.178.104 103.148.130.112 103.148.112.146 103.146.55.82 103.146.55.67 103.146.55.61 103.146.55.53 103.146.55.49 103.146.55.48 103.146.55.39 103.146.55.27 103.146.55.250 103.146.55.247 103.146.55.243 103.146.55.171 103.146.55.157 103.146.55.153 103.146.55.142 103.146.55.14 103.146.55.137 103.146.55.133 103.146.55.131 103.146.55.124 103.146.55.108 103.146.54.25 103.146.54.247 103.146.54.244 103.146.54.24 103.146.54.218 103.146.54.217 103.146.54.112 103.146.54.104 103.145.36.151 103.145.165.91 103.145.165.7 103.145.165.59 103.145.165.42 103.145.165.235 103.145.165.233 103.145.165.226 103.145.165.213 103.145.165.206 103.145.165.204 103.145.165.196 103.145.165.172 103.145.165.155 103.145.165.116 103.145.164.99 103.145.164.94 103.145.164.85 103.145.164.81 103.145.164.77 103.145.164.70 103.145.164.57 103.145.164.52 103.145.164.51 103.145.164.50 103.145.164.5 103.145.164.39 103.145.164.32 103.145.164.247 103.145.164.239 103.145.164.234 103.145.164.231 103.145.164.226 103.145.164.221 103.145.164.218 103.145.164.206 103.145.164.203 103.145.164.186 103.145.164.18 103.145.164.178 103.145.164.162 103.145.164.153 103.145.164.141 103.145.164.14 103.145.164.113 103.144.144.58 103.143.237.9 103.143.237.85 103.143.237.82 103.143.237.40 103.143.237.206 103.143.237.172 103.143.237.165 103.143.237.140 103.143.237.136 103.143.237.10 103.143.236.96 103.143.236.89 103.143.236.37 103.143.236.233 103.143.236.219 103.143.236.203 103.143.236.200 103.143.236.181 103.143.236.142 103.143.236.105 103.142.147.14 103.141.200.98 103.141.200.97 103.141.200.75 103.141.200.12 103.140.25.69 103.140.25.43 103.140.25.36 103.140.25.223 103.140.25.191 103.140.25.121 103.140.25.115 103.140.25.100 103.140.24.95 103.140.24.75 103.140.24.248 103.140.24.244 103.140.24.209 103.140.24.201 103.140.24.175 103.140.24.158 103.140.24.148 103.140.24.14 103.140.24.130 103.140.24.125 103.140.24.124 103.140.24.115 103.140.24.105 103.140.24.102 103.140.17.242 103.139.14.2 103.138.51.141 103.138.175.58 103.138.175.22 103.137.156.3 103.137.10.193 103.135.172.78 103.135.172.73 103.135.172.60 103.135.172.37 103.135.172.31 103.135.172.28 103.135.172.199 103.135.172.197 103.135.172.191 103.135.172.141 103.135.172.117 103.135.138.6 103.135.135.64 103.134.44.222 103.133.122.148 103.132.52.32 103.132.52.31 103.132.242.59 103.130.4.82 103.130.4.8 103.13.41.2 103.13.123.16 103.13.112.251 103.129.211.142 103.129.211.13 103.126.87.123 103.126.201.33 103.126.201.129 103.126.201.1 103.125.163.241 103.124.225.75 103.123.226.10 103.123.225.10 103.122.65.97 103.122.29.129 103.122.252.82 103.122.252.81 103.121.228.5 103.121.228.1 103.120.111.2 103.12.31.83 103.12.2.11 103.119.146.46 103.119.126.68 103.119.109.162 103.119.109.160 103.118.178.18 103.117.63.67 103.115.119.41 103.115.118.210 103.115.118.201 103.115.118.197 103.115.118.113 103.112.207.159 103.112.204.37 103.112.12.214 103.111.122.2 103.109.39.79 103.109.239.243 103.109.239.242 103.108.9.217 103.107.186.1 103.106.219.117 103.105.78.207 103.105.64.163 103.105.212.98 103.103.88.39 103.103.127.169 103.103.126.6 103.103.126.110 103.103.125.253 103.103.125.247 103.103.125.133 103.103.125.130 103.103.124.70 103.103.124.247 103.103.124.212 103.103.124.200 103.103.124.144 103.103.124.120 103.102.250.37 103.102.250.209 103.102.250.127 103.102.250.102 103.102.136.102 103.10.171.230 102.91.8.126 102.68.79.77 102.67.139.204 102.64.76.49 102.50.253.95 102.33.47.78 102.33.46.203 102.33.45.23 102.33.45.152 102.221.92.53 102.221.244.1 102.221.12.46 102.22.81.43 102.22.81.114 102.22.72.24 102.22.108.2 102.219.209.155 102.218.172.222 102.217.29.78 102.217.123.98 102.216.69.18 102.216.223.14 102.212.226.177 102.176.81.182 102.164.255.149 102.16.68.12 102.141.244.134 102.133.139.27 101.255.119.209 101.198.198.198 101.110.40.25 101.102.196.118 101.102.103.104 101.101.101.101 101.0.97.70 101.0.6.195 1.9.70.93 1.9.70.86 1.9.70.84 1.9.165.210 1.9.111.99 1.9.111.97 1.4.203.13 1.4.155.85 1.38.3.52 1.38.3.168 1.38.3.167 1.34.94.130 1.34.58.188 1.34.189.116 1.33.204.121 1.33.199.58 1.33.199.57 1.33.129.233 1.255.134.74 1.253.233.47 1.253.233.42 1.252.22.37 1.251.44.10 1.250.66.91 1.250.66.88 1.250.246.15 1.249.43.20 1.249.207.225 1.248.31.204 1.247.32.84 1.246.219.171 1.246.201.9 1.246.201.53 1.246.201.38 1.246.201.12 1.245.51.74 1.245.143.166 1.242.141.19 1.241.255.203 1.238.6.146 1.237.46.97 1.237.229.208 1.236.11.126 1.236.11.121 1.235.89.75 1.235.89.4 1.235.186.131 1.234.79.82 1.234.72.207 1.234.72.165 1.234.72.146 1.234.66.81 1.234.4.150 1.234.31.2 1.234.178.2 1.233.8.222 1.231.163.67 1.229.87.167 1.229.87.157 1.229.87.138 1.229.79.96 1.229.71.72 1.229.184.91 1.228.42.28 1.228.32.93 1.228.224.139 1.228.122.57 1.227.9.73 1.227.9.134 1.227.56.61 1.226.193.136 1.226.190.17 1.225.165.101 1.224.187.102 1.221.232.82 1.21.10.81 1.209.148.129 1.179.228.10 1.179.166.229 1.179.153.125 1.12.13.53 1.11.251.105 1.10.10.10 1.1.1.3 1.1.1.2 1.1.1.1 1.0.241.30 1.0.161.80 1.0.158.183 1.0.153.150 1.0.0.3 1.0.0.2 1.0.0.19 1.0.0.1 ================================================ FILE: backend/scripts/generate_test_data_sql.py ================================================ #!/usr/bin/env python3 """ 直接通过 SQL 插入测试数据 用法： # 生成常规测试数据 python backend/scripts/generate_test_data_sql.py python backend/scripts/generate_test_data_sql.py --clear # 清除后重新生成 # 生成百万级测试数据(用于测试 Dashboard 卡片溢出) python backend/scripts/generate_test_data_sql.py --million python backend/scripts/generate_test_data_sql.py --million --clear # 清除后生成百万级数据 百万级数据说明： - 目标: 1,000 - 子域名: 200,000 - 网站: 200,000 - 端点: 200,000 - IP (host_port_mapping): 200,000 - 漏洞: 200,000 (critical: 50k, high: 50k, medium: 50k, low: 30k, info: 20k) - 总资产: ~660,000 """ import argparse import random import json import os from datetime import datetime, timedelta from decimal import Decimal from pathlib import Path import psycopg2 from psycopg2.extras import execute_values def generate_fixed_length_url(target_name: str, length: int = 245, path_hint: str = '') -> str: """ 生成固定长度的 URL Args: target_name: 目标域名 length: 目标URL长度，默认245 path_hint: 可选的路径提示，用于区分不同类型的URL Returns: 固定长度的URL字符串 """ base = f'https://{target_name}' # 基础路径 paths = [ '/api/v3/enterprise/security-assessment/vulnerability-management', '/admin/dashboard/system-configuration/advanced-settings', '/portal/user-authentication/multi-factor/verification', '/services/cloud-infrastructure/monitoring/metrics', '/internal/system-administration/audit-logging/events', ] path = random.choice(paths) if not path_hint else f'/{path_hint}' url = f'{base}{path}' # 添加查询参数 param_idx = 0 while len(url) < length - 20: param_idx += 1 param = f'p{param_idx}={random.randint(10000000, 99999999)}' separator = '?' if '?' not in url else '&' url = f'{url}{separator}{param}' # 精确调整到目标长度 if len(url) < length: # 添加填充参数 padding_needed = length - len(url) - 1 # -1 for '&' or '?' if padding_needed > 0: separator = '?' if '?' not in url else '&' # 创建精确长度的填充 padding = 'x' * padding_needed url = f'{url}{separator}{padding}' # 截断到精确长度 if len(url) > length: url = url[:length] return url def generate_fixed_length_text(length: int = 300, text_type: str = 'description') -> str: """ 生成固定长度的文本内容 Args: length: 目标文本长度，默认300 text_type: 文本类型，用于选择不同的内容模板 Returns: 固定长度的文本字符串 """ # 基础文本模板 templates = { 'description': [ '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.', '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.', '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.', '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.', '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.', ], 'organization': [ '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.', '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.', '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.', ], 'title': [ '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', 'Advanced Security Operations Center - Unified Threat Detection and Response Platform featuring Machine Learning-powered Anomaly Detection, Automated Incident Response, and Comprehensive Security Posture Management', 'Customer Experience Management Platform - Omnichannel Engagement Solution with AI-driven Personalization, Journey Orchestration, Sentiment Analysis, and Predictive Customer Behavior Modeling Capabilities', 'Cloud Infrastructure Management Console - Multi-cloud Orchestration Platform supporting AWS, Azure, and GCP with Automated Provisioning, Cost Optimization, Compliance Monitoring, and Performance Analytics', 'Data Analytics and Business Intelligence Suite - Self-service Analytics Platform with Advanced Visualization, Predictive Modeling, Natural Language Query Processing, and Automated Report Generation', ], } # 选择模板 template_list = templates.get(text_type, templates['description']) base_text = random.choice(template_list) # 调整到目标长度 if len(base_text) < length: # 需要扩展文本 padding_words = [ 'Additionally', 'Furthermore', 'Moreover', 'Consequently', 'Subsequently', 'comprehensive', 'implementation', 'infrastructure', 'configuration', 'authentication', 'vulnerability', 'exploitation', 'remediation', 'mitigation', 'assessment', ] while len(base_text) < length - 20: base_text += f' {random.choice(padding_words)}' # 精确填充 if len(base_text) < length: padding_needed = length - len(base_text) base_text += ' ' + 'x' * (padding_needed - 1) # 截断到精确长度 if len(base_text) > length: base_text = base_text[:length] return base_text def load_env_file(env_path: str) -> dict: """从 .env 文件加载环境变量""" env_vars = {} if os.path.exists(env_path): with open(env_path, 'r') as f: for line in f: line = line.strip() if line and not line.startswith('#') and '=' in line: key, value = line.split('=', 1) env_vars[key.strip()] = value.strip() return env_vars def get_db_config() -> dict: """从 docker/.env 读取数据库配置""" # 获取项目根目录 script_dir = Path(__file__).resolve().parent project_root = script_dir.parent.parent env_path = project_root / 'docker' / '.env' env_vars = load_env_file(str(env_path)) # 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 db_host = env_vars.get('DB_HOST', 'postgres') if db_host == 'postgres': db_host = 'localhost' # 本地运行脚本时使用 localhost return { 'host': db_host, 'port': int(env_vars.get('DB_PORT', 5432)), 'dbname': env_vars.get('DB_NAME', 'xingrin'), 'user': env_vars.get('DB_USER', 'postgres'), 'password': env_vars.get('DB_PASSWORD', ''), } def generate_raw_response_headers(headers_dict: dict) -> str: """ 将响应头字典转换为原始 HTTP 响应头字符串格式 Args: headers_dict: 响应头字典 Returns: 原始 HTTP 响应头字符串，格式如： HTTP/1.1 200 OK Server: nginx Content-Type: text/html ... """ lines = ['HTTP/1.1 200 OK'] for key, value in headers_dict.items(): # 将下划线转换为连字符，并首字母大写 header_name = key.replace('_', '-').title() lines.append(f'{header_name}: {value}') return '\r\n'.join(lines) DB_CONFIG = get_db_config() class TestDataGenerator: def __init__(self, clear: bool = False): self.conn = psycopg2.connect(**DB_CONFIG) self.conn.autocommit = False self.clear = clear def run(self): try: if self.clear: print("🗑️ 清除现有数据...") self.clear_data() print("🚀 开始生成测试数据...\n") engine_ids = self.create_engines() worker_ids = self.create_workers() org_ids = self.create_organizations() target_ids = self.create_targets(org_ids) scan_ids = self.create_scans(target_ids, engine_ids, worker_ids) self.create_scheduled_scans(org_ids, target_ids, engine_ids) self.create_subdomains(target_ids) website_ids = self.create_websites(target_ids) self.create_endpoints(target_ids) self.create_directories(target_ids, website_ids) self.create_host_port_mappings(target_ids) self.create_vulnerabilities(target_ids) # 生成快照数据(扫描历史详细页面使用) self.create_subdomain_snapshots(scan_ids) self.create_website_snapshots(scan_ids) self.create_endpoint_snapshots(scan_ids) self.create_directory_snapshots(scan_ids) self.create_host_port_mapping_snapshots(scan_ids) self.create_vulnerability_snapshots(scan_ids) # 生成指纹数据 self.create_ehole_fingerprints() self.create_goby_fingerprints() self.create_wappalyzer_fingerprints() self.create_fingers_fingerprints() self.create_fingerprinthub_fingerprints() self.create_arl_fingerprints() self.conn.commit() print("\n✅ 测试数据生成完成！") except Exception as e: self.conn.rollback() print(f"\n❌ 生成失败: {e}") raise finally: self.conn.close() def clear_data(self): """清除所有测试数据""" cur = self.conn.cursor() # 先删除 IMMV（避免 pg_ivm 的 anyarray bug） print(" 删除 IMMV...") cur.execute("DROP TABLE IF EXISTS asset_search_view CASCADE") self.conn.commit() tables = [ # 指纹表 'ehole_fingerprint', 'goby_fingerprint', 'wappalyzer_fingerprint', 'fingers_fingerprint', 'fingerprinthub_fingerprint', 'arl_fingerprint', # 快照表(先删除，因为有外键依赖 scan) 'vulnerability_snapshot', 'host_port_mapping_snapshot', 'directory_snapshot', 'endpoint_snapshot', 'website_snapshot', 'subdomain_snapshot', # 资产表 'vulnerability', 'host_port_mapping', 'directory', 'endpoint', 'website', 'subdomain', 'scheduled_scan', 'scan', 'organization_targets', 'target', 'organization', 'nuclei_template_repo', 'wordlist', 'scan_engine', 'worker_node' ] for table in tables: cur.execute(f"DELETE FROM {table}") self.conn.commit() # 重建 IMMV print(" 重建 IMMV...") cur.execute(""" SELECT pgivm.create_immv('asset_search_view', $$ SELECT w.id, w.url, w.host, w.title, w.tech, w.status_code, w.response_headers, w.response_body, w.created_at, w.target_id FROM website w $$) """) self.conn.commit() print(" ✓ 数据清除完成\n") def create_workers(self) -> list: """创建 Worker 节点""" print("👷 创建 Worker 节点...") cur = self.conn.cursor() # 生成随机后缀确保唯一性 suffix = random.randint(1000, 9999) regions = ['asia-singapore-1', 'asia-singapore-2', 'asia-tokyo-1', 'asia-tokyo-2', 'asia-hongkong-1', 'asia-mumbai-1', 'asia-seoul-1', 'asia-sydney-1', 'asia-jakarta-1', 'asia-osaka-1', 'europe-frankfurt-1', 'europe-frankfurt-2', 'europe-london-1', 'europe-london-2', 'europe-paris-1', 'europe-ireland-1', 'europe-stockholm-1', 'europe-milan-1', 'us-east-virginia-1', 'us-east-virginia-2', 'us-east-ohio-1', 'us-west-oregon-1', 'us-west-oregon-2', 'us-west-california-1', 'us-central-iowa-1', 'australia-sydney-1', 'australia-melbourne-1', 'brazil-saopaulo-1', 'canada-montreal-1', 'southafrica-capetown-1', 'middleeast-bahrain-1'] statuses = ['online', 'offline', 'pending', 'deploying', 'maintenance', 'error', 'upgrading'] workers = [ (f'local-worker-primary-high-performance-{suffix}', '127.0.0.1', True, 'online'), (f'local-worker-secondary-backup-{suffix}', '127.0.0.2', True, 'online'), ] # 随机生成 30-50 个远程 worker num_remote = random.randint(30, 50) selected_regions = random.sample(regions, min(num_remote, len(regions))) for i, region in enumerate(selected_regions): ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}' status = random.choice(statuses) workers.append((f'remote-worker-{region}-{suffix}-{i:02d}', ip, False, status)) ids = [] for name, ip, is_local, status in workers: cur.execute(""" INSERT INTO worker_node (name, ip_address, ssh_port, username, password, is_local, status, created_at, updated_at) VALUES (%s, %s, 22, 'root', '', %s, %s, NOW(), NOW()) ON CONFLICT (name) DO UPDATE SET updated_at = NOW() RETURNING id """, (name, ip, is_local, status)) row = cur.fetchone() if row: ids.append(row[0]) print(f" ✓ 创建了 {len(ids)} 个 Worker 节点\n") return ids def create_engines(self) -> list: """创建扫描引擎""" print("⚙️ 创建扫描引擎...") cur = self.conn.cursor() suffix = random.randint(1000, 9999) engine_templates = [ ('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]'), ('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}'), ('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'), ('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'), ('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]'), ('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]'), ('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'), ('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]'), ('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'), ('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'), ('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'), ('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'), ] # 随机选择 8-12 个引擎模板 num_engines = random.randint(8, 12) selected = random.sample(engine_templates, min(num_engines, len(engine_templates))) ids = [] for name_base, config_template in selected: name = f'{name_base}-{suffix}' config = config_template.format( rate=random.choice([100, 150, 200, 300]), conc=random.choice([10, 20, 50, 100]), timeout=random.choice([300, 600, 900, 1200]), ports=random.choice([100, 1000, 'full']), depth=random.choice([2, 3, 4, 5]) ) cur.execute(""" INSERT INTO scan_engine (name, configuration, created_at, updated_at) VALUES (%s, %s, NOW(), NOW()) ON CONFLICT (name) DO UPDATE SET configuration = EXCLUDED.configuration, updated_at = NOW() RETURNING id """, (name, config)) row = cur.fetchone() if row: ids.append(row[0]) print(f" ✓ 创建了 {len(ids)} 个扫描引擎\n") return ids def create_organizations(self) -> list: """创建组织""" print("🏢 创建组织...") cur = self.conn.cursor() suffix = random.randint(1000, 9999) org_templates = [ ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ('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。'), ] divisions = ['Global Division', 'Asia Pacific', 'EMEA Region', 'Americas', 'R&D Center', 'Digital Platform', 'Cloud Services', 'Security Team', 'Innovation Lab', 'Enterprise Solutions', 'Consumer Products', 'Infrastructure Services', 'Data Analytics', 'AI Research', 'Mobile Development', 'DevOps Platform'] # 随机选择 15-20 个组织 num_orgs = random.randint(15, 20) selected = random.sample(org_templates, min(num_orgs, len(org_templates))) ids = [] for name_base, _ in selected: division = random.choice(divisions) name = f'{name_base} - {division} ({suffix})' # 生成固定 300 长度的描述 desc = generate_fixed_length_text(length=300, text_type='organization') cur.execute(""" INSERT INTO organization (name, description, created_at, deleted_at) VALUES (%s, %s, NOW() - INTERVAL '%s days', NULL) ON CONFLICT DO NOTHING RETURNING id """, (name, desc, random.randint(0, 365))) row = cur.fetchone() if row: ids.append(row[0]) print(f" ✓ 创建了 {len(ids)} 个组织\n") return ids def create_targets(self, org_ids: list) -> list: """创建扫描目标""" print("🎯 创建扫描目标...") cur = self.conn.cursor() suffix = random.randint(1000, 9999) # 超长域名生成，目标 200 字符左右 # 格式: {env}-{region}-{service}-{version}.{subdomain}.{company}-{project}-{team}-{suffix}.{domain}{tld} envs = ['production', 'staging', 'development', 'testing', 'integration', 'performance', 'security-audit'] regions = ['us-east-1', 'us-west-2', 'eu-central-1', 'ap-southeast-1', 'ap-northeast-1', 'sa-east-1', 'eu-west-3'] services = ['api-gateway', 'authentication-service', 'user-management', 'payment-processing', 'notification-center', 'analytics-engine', 'content-delivery', 'search-indexer'] versions = ['v1', 'v2', 'v3', 'v2-beta', 'v3-alpha', 'v1-legacy', 'v2-stable'] subdomains = ['internal-services', 'external-facing', 'partner-integration', 'customer-portal', 'admin-dashboard', 'developer-tools', 'monitoring-system'] 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'] projects = ['digital-transformation-initiative', 'cloud-migration-project', 'security-enhancement-program', 'customer-experience-platform', 'data-analytics-modernization', 'infrastructure-automation-suite'] teams = ['engineering-team-alpha', 'devops-squad-bravo', 'security-team-charlie', 'platform-team-delta', 'infrastructure-team-echo'] domains = ['enterprise', 'platform', 'services', 'solutions', 'systems'] tlds = ['.com', '.io', '.net', '.org', '.dev', '.app', '.cloud', '.tech', '.systems'] ids = [] # 随机生成 100-150 个域名目标 num_domains = random.randint(100, 150) used_domains = set() for i in range(num_domains): env = random.choice(envs) region = random.choice(regions) service = random.choice(services) version = random.choice(versions) subdomain = random.choice(subdomains) company = random.choice(companies) project = random.choice(projects) team = random.choice(teams) domain_name = random.choice(domains) tld = random.choice(tlds) # 生成超长域名，约 150-200 字符 domain = f'{env}-{region}-{service}-{version}.{subdomain}.{company}-{project}-{team}-{suffix}.{domain_name}{tld}' if domain in used_domains: continue used_domains.add(domain) cur.execute(""" INSERT INTO target (name, type, created_at, last_scanned_at, deleted_at) VALUES (%s, 'domain', NOW() - INTERVAL '%s days', NOW() - INTERVAL '%s days', NULL) ON CONFLICT DO NOTHING RETURNING id """, (domain, random.randint(30, 365), random.randint(0, 30))) row = cur.fetchone() if row: ids.append(row[0]) # 随机关联到组织 if org_ids: # 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 rand_val = random.random() if rand_val < 0.2: # 关联多个组织 (3-5个) num_orgs = min(random.randint(3, 5), len(org_ids)) selected_orgs = random.sample(org_ids, num_orgs) for org_id in selected_orgs: cur.execute(""" INSERT INTO organization_targets (organization_id, target_id) VALUES (%s, %s) ON CONFLICT DO NOTHING """, (org_id, row[0])) elif rand_val < 0.7: # 关联1个组织 org_id = random.choice(org_ids) cur.execute(""" INSERT INTO organization_targets (organization_id, target_id) VALUES (%s, %s) ON CONFLICT DO NOTHING """, (org_id, row[0])) # 随机生成 50-80 个 IP 目标 num_ips = random.randint(50, 80) for _ in range(num_ips): # 使用文档保留的 IP 范围 ip_ranges = [ (203, 0, 113), # TEST-NET-3 (198, 51, 100), # TEST-NET-2 (192, 0, 2), # TEST-NET-1 ] base = random.choice(ip_ranges) ip = f'{base[0]}.{base[1]}.{base[2]}.{random.randint(1, 254)}' cur.execute(""" INSERT INTO target (name, type, created_at, last_scanned_at, deleted_at) VALUES (%s, 'ip', NOW() - INTERVAL '%s days', NOW() - INTERVAL '%s days', NULL) ON CONFLICT DO NOTHING RETURNING id """, (ip, random.randint(30, 365), random.randint(0, 30))) row = cur.fetchone() if row: ids.append(row[0]) # 随机生成 30-50 个 CIDR 目标 num_cidrs = random.randint(30, 50) cidr_bases = ['10.0', '172.16', '172.17', '172.18', '192.168'] for _ in range(num_cidrs): base = random.choice(cidr_bases) third_octet = random.randint(0, 255) mask = random.choice([24, 25, 26, 27, 28]) cidr = f'{base}.{third_octet}.0/{mask}' cur.execute(""" INSERT INTO target (name, type, created_at, last_scanned_at, deleted_at) VALUES (%s, 'cidr', NOW() - INTERVAL '%s days', NOW() - INTERVAL '%s days', NULL) ON CONFLICT DO NOTHING RETURNING id """, (cidr, random.randint(30, 365), random.randint(0, 30))) row = cur.fetchone() if row: ids.append(row[0]) print(f" ✓ 创建了 {len(ids)} 个扫描目标\n") return ids def create_scans(self, target_ids: list, engine_ids: list, worker_ids: list) -> list: """创建扫描任务""" print("🔍 创建扫描任务...") cur = self.conn.cursor() if not target_ids or not engine_ids: print(" ⚠ 缺少目标或引擎，跳过\n") return [] statuses = ['cancelled', 'completed', 'failed', 'initiated', 'running'] status_weights = [0.05, 0.6, 0.1, 0.1, 0.15] # completed 占比最高 stages = ['subdomain_discovery', 'port_scanning', 'web_discovery', 'vulnerability_scanning', 'directory_bruteforce', 'endpoint_discovery'] error_messages = [ 'Connection timeout while scanning target. Please check network connectivity.', 'DNS resolution failed for target domain.', 'Rate limit exceeded. Scan paused and will resume automatically.', 'Worker node disconnected during scan execution.', 'Insufficient disk space on worker node.', 'Target returned too many errors, scan aborted.', 'Authentication failed for protected resources.', ] # 获取引擎名称映射 cur.execute("SELECT id, name FROM scan_engine WHERE id = ANY(%s)", (engine_ids,)) engine_name_map = {row[0]: row[1] for row in cur.fetchall()} ids = [] # 随机选择目标数量 - 增加到 80-120 个 num_targets = min(random.randint(80, 120), len(target_ids)) selected_targets = random.sample(target_ids, num_targets) for target_id in selected_targets: # 每个目标随机 3-15 个扫描任务 num_scans = random.randint(3, 15) for _ in range(num_scans): status = random.choices(statuses, weights=status_weights)[0] # 随机选择 1-3 个引擎 num_engines = random.randint(1, min(3, len(engine_ids))) selected_engine_ids = random.sample(engine_ids, num_engines) selected_engine_names = [engine_name_map.get(eid, f'Engine-{eid}') for eid in selected_engine_ids] worker_id = random.choice(worker_ids) if worker_ids else None progress = random.randint(10, 95) if status == 'running' else (100 if status == 'completed' else random.randint(0, 50)) stage = random.choice(stages) if status == 'running' else '' error_msg = random.choice(error_messages) if status == 'failed' else '' # 随机生成更真实的统计数据 subdomains = random.randint(50, 2000) websites = random.randint(10, 500) endpoints = random.randint(100, 5000) ips = random.randint(20, 300) directories = random.randint(200, 8000) vulns_critical = random.randint(0, 20) vulns_high = random.randint(0, 50) vulns_medium = random.randint(0, 100) vulns_low = random.randint(0, 150) vulns_total = vulns_critical + vulns_high + vulns_medium + vulns_low + random.randint(0, 100) # info days_ago = random.randint(0, 90) cur.execute(""" INSERT INTO scan ( target_id, engine_ids, engine_names, yaml_configuration, status, worker_id, progress, current_stage, results_dir, error_message, container_ids, stage_progress, cached_subdomains_count, cached_websites_count, cached_endpoints_count, cached_ips_count, cached_directories_count, cached_screenshots_count, cached_vulns_total, cached_vulns_critical, cached_vulns_high, cached_vulns_medium, cached_vulns_low, created_at, stopped_at, deleted_at ) VALUES ( %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW() - INTERVAL '%s days', %s, NULL ) RETURNING id """, ( target_id, selected_engine_ids, json.dumps(selected_engine_names), '', status, worker_id, progress, stage, f'/app/results/scan_{target_id}_{random.randint(1000, 9999)}', error_msg, '{}', '{}', subdomains, websites, endpoints, ips, directories, 0, vulns_total, vulns_critical, vulns_high, vulns_medium, vulns_low, days_ago, datetime.now() - timedelta(days=days_ago, hours=random.randint(0, 23)) if status in ['completed', 'failed', 'cancelled'] else None )) row = cur.fetchone() if row: ids.append(row[0]) print(f" ✓ 创建了 {len(ids)} 个扫描任务\n") return ids def create_scheduled_scans(self, org_ids: list, target_ids: list, engine_ids: list): """创建定时扫描任务""" print("⏰ 创建定时扫描任务...") cur = self.conn.cursor() if not engine_ids: print(" ⚠ 缺少引擎，跳过\n") return suffix = random.randint(1000, 9999) schedule_templates = [ ('Daily-Full-Security-Assessment-Enterprise-Wide-Comprehensive-Vulnerability-Detection', '0 {hour} * * *'), ('Weekly-Vulnerability-Scan-Critical-Infrastructure-Protection-Program', '0 {hour} * * {dow}'), ('Monthly-Penetration-Testing-External-Attack-Surface-Management', '0 {hour} {dom} * *'), ('Hourly-Quick-Reconnaissance-Real-Time-Threat-Intelligence-Gathering', '{min} * * * *'), ('Bi-Weekly-Compliance-Check-Regulatory-Standards-Verification-Audit', '0 {hour} 1,15 * *'), ('Quarterly-Infrastructure-Audit-Network-Security-Posture-Assessment', '0 {hour} 1 1,4,7,10 *'), ('Daily-API-Security-Scan-RESTful-GraphQL-Endpoint-Protection', '{min} {hour} * * *'), ('Weekly-Web-Application-Scan-OWASP-Top-10-Vulnerability-Detection', '0 {hour} * * {dow}'), ('Nightly-Asset-Discovery-Shadow-IT-Detection-Inventory-Management', '0 {hour} * * *'), ('Weekend-Deep-Scan-Intensive-Security-Analysis-Full-Coverage', '0 {hour} * * 0,6'), ('Business-Hours-Monitor-Real-Time-Security-Event-Detection-Response', '0 9-17 * * 1-5'), ('Off-Hours-Intensive-Scan-Low-Impact-Comprehensive-Assessment', '0 {hour} * * *'), ('Continuous-Monitoring-Zero-Day-Vulnerability-Detection-System', '{min} * * * *'), ('Cloud-Infrastructure-Security-Assessment-AWS-Azure-GCP-Multi-Cloud', '0 {hour} * * *'), ('Container-Security-Scan-Kubernetes-Docker-Image-Vulnerability-Check', '0 {hour} * * {dow}'), ('Database-Security-Audit-SQL-Injection-Data-Exposure-Prevention', '0 {hour} {dom} * *'), ('Network-Perimeter-Scan-Firewall-Configuration-Compliance-Check', '0 {hour} * * *'), ('SSL-TLS-Certificate-Monitoring-Expiration-Vulnerability-Detection', '0 {hour} * * *'), ('DNS-Security-Assessment-Zone-Transfer-Subdomain-Takeover-Check', '0 {hour} * * {dow}'), ('Email-Security-Scan-SPF-DKIM-DMARC-Configuration-Verification', '0 {hour} {dom} * *'), ('Mobile-Application-Security-Testing-iOS-Android-API-Assessment', '0 {hour} * * *'), ('IoT-Device-Security-Scan-Firmware-Vulnerability-Network-Exposure', '0 {hour} * * {dow}'), ('Third-Party-Risk-Assessment-Vendor-Security-Posture-Evaluation', '0 {hour} 1 * *'), ('Incident-Response-Readiness-Security-Control-Effectiveness-Test', '0 {hour} 15 * *'), ('Ransomware-Prevention-Scan-Backup-Integrity-Recovery-Verification', '0 {hour} * * *'), ] # 随机选择 40-50 个定时任务 num_schedules = random.randint(40, 50) selected = random.sample(schedule_templates, min(num_schedules, len(schedule_templates))) # 获取引擎名称映射 cur.execute("SELECT id, name FROM scan_engine WHERE id = ANY(%s)", (engine_ids,)) engine_name_map = {row[0]: row[1] for row in cur.fetchall()} count = 0 for name_base, cron_template in selected: name = f'{name_base}-{suffix}-{count:02d}' cron = cron_template.format( hour=random.randint(0, 23), min=random.randint(0, 59), dow=random.randint(0, 6), dom=random.randint(1, 28) ) enabled = random.random() > 0.3 # 70% 启用 # 随机选择 1-3 个引擎 num_engines = random.randint(1, min(3, len(engine_ids))) selected_engine_ids = random.sample(engine_ids, num_engines) selected_engine_names = [engine_name_map.get(eid, f'Engine-{eid}') for eid in selected_engine_ids] # 随机决定关联组织还是目标 if org_ids and target_ids: if random.random() > 0.5: org_id = random.choice(org_ids) target_id = None else: org_id = None target_id = random.choice(target_ids) elif org_ids: org_id = random.choice(org_ids) target_id = None elif target_ids: org_id = None target_id = random.choice(target_ids) else: org_id = None target_id = None run_count = random.randint(0, 200) has_run = random.random() > 0.2 # 80% 已运行过 cur.execute(""" INSERT INTO scheduled_scan ( name, engine_ids, engine_names, yaml_configuration, organization_id, target_id, cron_expression, is_enabled, run_count, last_run_time, next_run_time, created_at, updated_at ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW() - INTERVAL '%s days', NOW()) ON CONFLICT DO NOTHING """, ( name, selected_engine_ids, json.dumps(selected_engine_names), '', org_id, target_id, cron, enabled, run_count if has_run else 0, datetime.now() - timedelta(days=random.randint(0, 14), hours=random.randint(0, 23)) if has_run else None, datetime.now() + timedelta(hours=random.randint(1, 336)) # 最多 2 周后 , random.randint(30, 180))) count += 1 print(f" ✓ 创建了 {count} 个定时扫描任务\n") def create_subdomains(self, target_ids: list): """创建子域名""" print("🌐 创建子域名...") cur = self.conn.cursor() prefixes = [ # 基础服务 'api', 'admin', 'portal', 'dashboard', 'app', 'mobile', 'staging', 'dev', 'test', 'qa', 'uat', 'beta', 'alpha', 'demo', 'sandbox', 'internal', 'secure', 'auth', 'login', 'sso', 'oauth', 'identity', 'accounts', 'mail', 'smtp', 'imap', 'webmail', 'ftp', 'sftp', 'files', 'storage', 'cdn', 'static', 'assets', 'media', 'db', 'database', 'mysql', 'postgres', 'redis', 'mongo', 'elastic', 'vpn', 'remote', 'gateway', 'proxy', 'monitoring', 'metrics', 'grafana', 'prometheus', 'kibana', 'logs', 'jenkins', 'ci', 'cd', 'gitlab', 'jira', 'confluence', 'kubernetes', 'k8s', 'www', 'www2', 'www3', 'ns1', 'ns2', 'mx', 'mx1', 'mx2', 'autodiscover', 'webdisk', 'cpanel', 'whm', 'webmail2', 'email', 'smtp2', 'pop', 'pop3', 'imap2', 'calendar', 'contacts', 'drive', 'docs', 'sheets', 'slides', 'meet', 'chat', 'teams', 'slack', 'discord', 'zoom', 'video', 'stream', 'blog', 'news', 'press', 'media2', 'images', 'img', 'photos', 'video2', 'shop', 'store', 'cart', 'checkout', 'pay', 'payment', 'billing', 'invoice', 'support', 'help', 'helpdesk', 'ticket', 'tickets', 'status', 'health', 'api-v1', 'api-v2', 'api-v3', 'graphql', 'rest', 'soap', 'rpc', 'grpc', # 扩展服务 'analytics', 'reporting', 'bi', 'data', 'warehouse', 'etl', 'pipeline', 'ml', 'ai', 'inference', 'training', 'model', 'prediction', 'recommendation', 'search', 'solr', 'elasticsearch', 'opensearch', 'algolia', 'typesense', 'cache', 'memcached', 'varnish', 'haproxy', 'loadbalancer', 'nginx-lb', 'queue', 'rabbitmq', 'kafka', 'pulsar', 'nats', 'activemq', 'sqs', 'workflow', 'airflow', 'prefect', 'dagster', 'temporal', 'conductor', 'registry', 'harbor', 'nexus', 'artifactory', 'pypi', 'npm-registry', 'vault', 'secrets', 'keycloak', 'okta', 'auth0', 'cognito', 'firebase-auth', 'notification', 'push', 'websocket', 'socket', 'realtime', 'pubsub', 'backup', 'archive', 'snapshot', 'restore', 'disaster-recovery', 'dr', 'audit', 'compliance', 'security', 'waf', 'firewall', 'ids', 'ips', 'tracing', 'jaeger', 'zipkin', 'tempo', 'honeycomb', 'lightstep', 'config', 'consul', 'etcd', 'zookeeper', 'nacos', 'apollo-config', 'service-mesh', 'istio', 'linkerd', 'envoy', 'traefik', 'kong', ] # 二级前缀，用于生成更复杂的子域名 secondary_prefixes = ['', 'prod-', 'dev-', 'staging-', 'test-', 'int-', 'ext-', 'us-', 'eu-', 'ap-', 'us-east-', 'us-west-', 'eu-central-', 'ap-southeast-', 'ap-northeast-', 'primary-', 'secondary-', 'backup-', 'dr-', 'canary-', 'blue-', 'green-'] # 获取域名目标 cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL") domain_targets = cur.fetchall() count = 0 batch_data = [] for target_id, target_name in domain_targets: # 每个目标随机 80-150 个子域名 num = random.randint(80, 150) selected = random.sample(prefixes, min(num, len(prefixes))) for prefix in selected: # 随机添加二级前缀 sec_prefix = random.choice(secondary_prefixes) if random.random() > 0.7 else '' subdomain_name = f'{sec_prefix}{prefix}.{target_name}' days_ago = random.randint(0, 90) batch_data.append((subdomain_name, target_id, days_ago)) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO subdomain (name, target_id, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, NOW() - INTERVAL '%s days')") print(f" ✓ 创建了 {count} 个子域名\n") def create_websites(self, target_ids: list) -> list: """创建网站""" print("🌍 创建网站...") cur = self.conn.cursor() titles = [ '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', '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', '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', 'Supply Chain Management - Global Logistics Tracking Dashboard | Real-time Updates - Worldwide Distribution Network Monitor with Predictive Analytics Inventory Optimization and Supplier Relationship Management', 'Business Intelligence Analytics - Executive Summary Report Generator | Advanced Data Visualization Decision Support System - Machine Learning Powered Predictive Analytics and Custom Dashboard Builder', 'Content Management System - Admin Panel | Headless CMS API Gateway - Multi-tenant Enterprise Publishing Platform with Workflow Automation Digital Asset Management and Multi-language Support', 'Project Management Collaboration Tools - Team Workspace | Agile Board - Sprint Planning Resource Allocation Time Tracking Budget Management Gantt Charts Kanban Boards and Team Communication Hub', 'E-Commerce Platform - Product Catalog Management | Inventory Control - Order Processing Fulfillment System with Multi-channel Sales Integration Payment Gateway and Customer Analytics Dashboard', 'Financial Trading Platform - Real-time Market Data Dashboard | Portfolio Management Risk Analysis System - Algorithmic Trading Support Technical Analysis Tools and Regulatory Compliance Reporting', 'Healthcare Patient Management System - Electronic Health Records | HIPAA Compliant Medical Information Portal - Appointment Scheduling Prescription Management Lab Results Integration and Telemedicine Support', ] 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', 'Microsoft-IIS/10.0', 'Microsoft-IIS/8.5', 'Microsoft-IIS/7.5', 'cloudflare', 'gunicorn/21.2.0', 'gunicorn/22.0.0', 'gunicorn/23.0.0', 'uvicorn/0.24.0', 'uvicorn/0.25.0', 'Caddy/2.7.5', 'Caddy/2.8.0', 'LiteSpeed', 'LiteSpeed/6.1', 'OpenResty/1.21.4', 'OpenResty/1.25.3', 'Tomcat/10.1.15', 'Tomcat/9.0.83', 'Jetty/11.0.18', 'Jetty/12.0.5', 'WildFly/30.0.0', 'Kestrel', 'Puma/6.4.0', 'Unicorn/6.1.0', 'Passenger/6.0.18', 'Waitress/2.1.2', 'Hypercorn/0.16.0', 'Daphne/4.0.0', 'Twisted/23.10.0', 'CherryPy/18.9.0'] tech_stacks = [ ['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'], ['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'], ['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'], ['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'], ['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'], ['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'], ['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'], ['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'], ] # 真实的 body preview 内容 response_bodies = [ 'Login - Enterprise Portal

    ', 'Dashboard
    ', '{"status":"ok","version":"2.4.1","environment":"production","timestamp":"2024-12-22T10:30:00Z","services":{"database":"healthy","cache":"healthy","queue":"healthy"},"uptime":864000}', '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
    ', '系统维护中

    系统正在维护中

    预计恢复时间：2024-12-23 08:00

    ', '{"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"}', 'Welcome to nginx!

    Welcome to nginx!

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

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

    Redirecting to login page...

    Click here if not redirected', '{"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..."}}', 'API Documentation - Swagger UI
    ', '{"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"}]}', '404 Not Found

    404

    Page not found

    ', 'PING OK - Packet loss = 0%, RTA = 0.45 ms|rta=0.450000ms;100.000000;500.000000;0.000000 pl=0%;20;60;0', '{"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}}', 'Under Construction
      _   _           _             ____                _                   _   _             \n | | | |_ __   __| | ___ _ __  / ___|___  _ __  ___| |_ _ __ _   _  ___| |_(_) ___  _ __  \n | | | | \'_ \\ / _` |/ _ \\ \'__|| |   / _ \\| \'_ \\/ __| __| \'__| | | |/ __| __| |/ _ \\| \'_ \\ \n | |_| | | | | (_| |  __/ |   | |__| (_) | | | \\__ \\ |_| |  | |_| | (__| |_| | (_) | | | |\n  \\___/|_| |_|\\__,_|\\___|_|    \\____\\___/|_| |_|___/\\__|_|   \\__,_|\\___|\\__|_|\\___/|_| |_|\n

    Coming Soon...

    ', '{"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"}]}}', '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', ] # 获取域名目标 cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 80") domain_targets = cur.fetchall() batch_data = [] for target_id, target_name in domain_targets: for i in range(random.randint(15, 30)): # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'website/{i:04d}') # 生成模拟的响应头数据 response_headers = { 'server': random.choice(['nginx', 'Apache', 'cloudflare', 'Microsoft-IIS/10.0']), 'content_type': 'text/html; charset=utf-8', 'x_powered_by': random.choice(['PHP/8.2', 'ASP.NET', 'Express', None]), 'x_frame_options': random.choice(['DENY', 'SAMEORIGIN', None]), 'strict_transport_security': 'max-age=31536000; includeSubDomains' if random.choice([True, False]) else None, 'set_cookie': f'session={random.randint(100000, 999999)}; HttpOnly; Secure' if random.choice([True, False]) else None, } # 移除 None 值 response_headers = {k: v for k, v in response_headers.items() if v is not None} batch_data.append(( url, target_id, target_name, random.choice(titles), random.choice(webservers), random.choice(tech_stacks), random.choice([200, 301, 302, 403, 404]), random.randint(1000, 500000), 'text/html; charset=utf-8', f'https://{target_name}/login' if random.choice([True, False]) else '', random.choice(response_bodies), random.choice([True, False, None]), generate_raw_response_headers(response_headers) )) # 批量插入 ids = [] if batch_data: execute_values(cur, """ INSERT INTO website ( url, target_id, host, title, webserver, tech, status_code, content_length, content_type, location, response_body, vhost, response_headers, created_at ) VALUES %s ON CONFLICT DO NOTHING RETURNING id """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())") ids = [row[0] for row in cur.fetchall()] print(f" ✓ 创建了 {len(batch_data)} 个网站\n") return ids def create_endpoints(self, target_ids: list): """创建端点""" print("🔗 创建端点...") cur = self.conn.cursor() paths = [ '/api/v1/users/authentication/login', '/api/v1/users/authentication/logout', '/api/v1/users/profile/settings/preferences', '/api/v2/products/catalog/categories/list', '/api/v2/orders/checkout/payment-processing', '/api/v3/analytics/dashboard/metrics/summary', '/graphql/query', '/graphql/mutation', '/admin/dashboard/overview', '/admin/users/management/list', '/admin/settings/configuration/system', '/portal/customer/account/billing-history', '/internal/health/readiness-check', '/internal/metrics/prometheus-endpoint', '/webhook/payment/stripe/callback', '/oauth/authorize', '/oauth/token', '/swagger/v1/swagger.json', '/openapi/v3/api-docs', # 扩展路径 '/api/v1/organizations/enterprise/departments/teams/members/list', '/api/v2/inventory/warehouse/locations/zones/shelves/products', '/api/v3/reporting/financial/quarterly/revenue/breakdown/by-region', '/admin/system/configuration/security/authentication/providers/saml', '/admin/audit/logs/security/events/authentication/failures/export', '/portal/enterprise/dashboard/analytics/performance/metrics/realtime', '/internal/monitoring/infrastructure/kubernetes/pods/health/status', '/webhook/integration/salesforce/opportunity/stage-change/notification', '/api/v1/customers/enterprise/contracts/subscriptions/billing/invoices', '/api/v2/shipping/carriers/fedex/tracking/packages/delivery-status', '/api/v3/notifications/channels/email/templates/marketing/campaigns', '/admin/content/management/pages/blog/articles/drafts/review-queue', '/portal/support/tickets/priority/critical/escalation/management', '/internal/jobs/scheduler/cron/tasks/execution/history/logs', '/api/v1/search/elasticsearch/indices/products/documents/query', '/api/v2/cache/redis/clusters/primary/keys/invalidation/batch', '/api/v3/queue/rabbitmq/exchanges/notifications/bindings/routes', '/admin/database/migrations/schema/versions/rollback/history', '/portal/analytics/google/tag-manager/containers/tags/triggers', '/internal/secrets/vault/kv/applications/credentials/rotation', ] gf_patterns = [ ['debug', 'config', 'api', 'json', 'upload', 'file', 'admin', 'auth', 'secrets', 'credentials'], ['backup', 'archive', 'debug', 'trace', 'log', 'error', 'exception', 'stack', 'dump', 'memory'], ['api', 'rest', 'graphql', 'websocket', 'grpc', 'soap', 'xml', 'json', 'yaml', 'protobuf'], ['auth', 'login', 'logout', 'session', 'token', 'jwt', 'oauth', 'saml', 'sso', 'mfa', 'otp', '2fa'], ['upload', 'download', 'file', 'attachment', 'document', 'image', 'video', 'audio', 'media', 'asset'], ['admin', 'dashboard', 'panel', 'console', 'management', 'settings', 'config', 'system', 'control'], ['database', 'sql', 'query', 'table', 'schema', 'migration', 'backup', 'restore', 'dump', 'export'], ['cache', 'redis', 'memcached', 'session', 'storage', 'temp', 'buffer', 'queue', 'message', 'event'], ['security', 'vulnerability', 'exploit', 'injection', 'xss', 'csrf', 'ssrf', 'rce', 'lfi', 'sqli'], ['payment', 'billing', 'invoice', 'subscription', 'checkout', 'cart', 'order', 'transaction', 'refund'], ['user', 'profile', 'account', 'password', 'email', 'phone', 'address', 'preference', 'notification'], ['api-key', 'secret-key', 'access-token', 'refresh-token', 'private-key', 'public-key', 'certificate'], ['debug', 'trace', 'log', 'error', 'warning', 'info', 'verbose', 'metric', 'monitor', 'health'], ['internal', 'private', 'restricted', 'confidential', 'sensitive', 'protected', 'secure', 'encrypted'], ['test', 'staging', 'development', 'production', 'sandbox', 'demo', 'preview', 'beta', 'alpha'], [], # 空的情况 ] # 100字符长度的标题 titles = [ 'Enterprise API Gateway - RESTful Service Documentation with OpenAPI 3.0 Specification and Interactive', 'User Authentication Service - OAuth 2.0 and SAML 2.0 Single Sign-On Integration Platform Dashboard', 'Payment Processing Gateway - PCI-DSS Compliant Transaction Management System Administration Panel', 'Content Delivery Network - Global Edge Cache Management and Real-time Analytics Dashboard Interface', 'Database Administration Console - PostgreSQL Cluster Management with Automated Backup and Recovery', 'Kubernetes Container Orchestration - Pod Deployment and Service Mesh Configuration Control Panel', 'Message Queue Management - RabbitMQ Exchange and Binding Configuration with Dead Letter Handling', 'Search Engine Administration - Elasticsearch Index Management and Query Performance Optimization', 'Monitoring and Alerting System - Prometheus Metrics Collection with Grafana Dashboard Integration', 'Security Operations Center - Vulnerability Assessment and Incident Response Management Platform', 'API Rate Limiting Service - Request Throttling and Quota Management with Real-time Usage Analytics', 'File Storage Management - S3-Compatible Object Storage with Lifecycle Policy and Access Control', 'Email Notification Service - SMTP Gateway with Template Management and Delivery Status Tracking', 'Webhook Integration Platform - Event-Driven Architecture with Retry Logic and Failure Handling', 'GraphQL API Playground - Interactive Query Builder with Schema Introspection and Documentation', ] # 扩展的技术栈列表（用于生成10-20个技术） all_techs = [ 'React 18.2.0', 'Vue.js 3.4', 'Angular 17.1', 'Next.js 14.0', 'Nuxt 3.9', 'Svelte 4.2', 'Node.js 20.10', 'Express 4.18', 'NestJS 10.3', 'Fastify 4.25', 'Koa 2.15', 'Python 3.12', 'Django 5.0', 'FastAPI 0.109', 'Flask 3.0', 'Tornado 6.4', 'Go 1.21', 'Gin 1.9', 'Echo 4.11', 'Fiber 2.52', 'Chi 5.0', 'Java 21', 'Spring Boot 3.2', 'Quarkus 3.6', 'Micronaut 4.2', 'PostgreSQL 16.1', 'MySQL 8.2', 'MongoDB 7.0', 'Redis 7.2', 'Elasticsearch 8.11', 'Kubernetes 1.28', 'Docker 24.0', 'Nginx 1.25', 'Apache 2.4', 'Traefik 3.0', 'GraphQL 16.8', 'gRPC 1.60', 'WebSocket', 'REST API', 'OpenAPI 3.0', 'JWT', 'OAuth 2.0', 'SAML 2.0', 'OIDC', 'Passport.js', 'Webpack 5.89', 'Vite 5.0', 'esbuild 0.19', 'Rollup 4.9', 'Parcel 2.11', 'TypeScript 5.3', 'Tailwind CSS 3.4', 'Bootstrap 5.3', 'Material UI 5.15', 'Jest 29.7', 'Vitest 1.1', 'Cypress 13.6', 'Playwright 1.40', 'Prometheus', 'Grafana 10.2', 'Jaeger', 'Zipkin', 'OpenTelemetry', 'RabbitMQ 3.12', 'Kafka 3.6', 'NATS 2.10', 'Redis Streams', 'AWS Lambda', 'Azure Functions', 'Google Cloud Functions', 'Cloudflare Workers', ] # 真实的 API 响应 body preview response_bodies = [ '{"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"}}', '{"success":true,"message":"Authentication successful","token":"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c","expires_in":3600}', '{"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"}', '{"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}}', '{"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%"}}', '{"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"}', '{"result":{"query":"SELECT * FROM users WHERE id = ?","rows_affected":1,"execution_time_ms":12,"cached":false},"data":[{"id":1,"name":"Admin User","status":"active"}]}', 'GraphQL Playground
    Loading GraphQL Playground...
    ', '{"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"}}}}', '{"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"}]}', '{"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}}}', '# 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', '{"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"}}', '{"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}}', '{"rate_limit":{"limit":1000,"remaining":847,"reset":1703260800,"retry_after":null},"request_id":"req_xyz789abc123","timestamp":"2024-12-22T16:45:30Z"}', '{"webhook":{"id":"wh_123456","event":"payment.completed","data":{"payment_id":"pay_abc123","amount":9999,"currency":"usd","status":"succeeded","customer_id":"cus_xyz789"},"created":1703260800}}', '{"oauth":{"access_token":"ya29.a0AfH6SMBx...","token_type":"Bearer","expires_in":3600,"refresh_token":"1//0gYx...","scope":"openid email profile"}}', '{"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"}}', '{"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"}}}', '{"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"}}', '{"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}}', '{"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"}]}}', '{"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"}}', '{"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}}', '{"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"}}', ] # 获取域名目标 cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 80") domain_targets = cur.fetchall() count = 0 batch_data = [] for target_id, target_name in domain_targets: num = random.randint(50, 100) selected = random.sample(paths, min(num, len(paths))) for idx, path in enumerate(selected): # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'endpoint/{idx:04d}') # 生成 100 字符的标题 title = random.choice(titles) # 生成 10-20 个技术 num_techs = random.randint(10, 20) tech_list = random.sample(all_techs, min(num_techs, len(all_techs))) # 生成 10-20 个 tags (gf_patterns) tags = random.choice(gf_patterns) # 生成模拟的响应头数据 response_headers = { 'server': random.choice(['nginx', 'gunicorn', 'uvicorn', 'Apache']), 'content_type': 'application/json', 'x_request_id': f'req_{random.randint(100000, 999999)}', 'x_ratelimit_limit': str(random.choice([100, 1000, 5000])), 'x_ratelimit_remaining': str(random.randint(0, 1000)), 'cache_control': random.choice(['no-cache', 'max-age=3600', 'private', None]), } # 移除 None 值 response_headers = {k: v for k, v in response_headers.items() if v is not None} batch_data.append(( url, target_id, target_name, title, random.choice(['nginx/1.24.0', 'gunicorn/21.2.0']), random.choice([200, 201, 301, 400, 401, 403, 404, 500]), random.randint(100, 50000), 'application/json', tech_list, '', random.choice(response_bodies), random.choice([True, False, None]), tags, generate_raw_response_headers(response_headers) )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO endpoint ( url, target_id, host, title, webserver, status_code, content_length, content_type, tech, location, response_body, vhost, matched_gf_patterns, response_headers, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个端点\n") def create_directories(self, target_ids: list, website_ids: list): """创建目录""" print("📁 创建目录...") cur = self.conn.cursor() dir_paths = [ '/admin/', '/administrator/', '/wp-admin/', '/wp-content/', '/backup/', '/backups/', '/old/', '/archive/', '/temp/', '/test/', '/dev/', '/staging/', '/config/', '/api/', '/api/v1/', '/api/v2/', '/uploads/', '/files/', '/documents/', '/docs/', '/images/', '/assets/', '/static/', '/css/', '/js/', '/logs/', '/debug/', '/private/', '/secure/', '/internal/', '/data/', '/database/', '/phpmyadmin/', '/cgi-bin/', '/includes/', '/lib/', '/vendor/', '/node_modules/', '/plugins/', '/themes/', '/templates/', '/src/', '/app/', '/portal/', '/dashboard/', '/panel/', '/user/', '/users/', '/account/', '/profile/', '/member/', '/customer/', # 扩展目录 '/api/v3/', '/api/internal/', '/api/admin/', '/api/public/', '/api/private/', '/admin/config/', '/admin/logs/', '/admin/backup/', '/admin/users/', '/admin/settings/', '/system/', '/system/config/', '/system/logs/', '/system/backup/', '/system/cache/', '/storage/', '/storage/uploads/', '/storage/temp/', '/storage/cache/', '/storage/logs/', '/resources/', '/resources/images/', '/resources/documents/', '/resources/templates/', '/public/', '/public/assets/', '/public/uploads/', '/public/images/', '/public/files/', '/private/data/', '/private/config/', '/private/keys/', '/private/certificates/', '/backup/daily/', '/backup/weekly/', '/backup/monthly/', '/backup/database/', '/logs/access/', '/logs/error/', '/logs/audit/', '/logs/security/', '/logs/application/', '/cache/', '/cache/views/', '/cache/data/', '/cache/sessions/', '/cache/compiled/', '/tmp/', '/tmp/uploads/', '/tmp/sessions/', '/tmp/cache/', '/tmp/exports/', '/exports/', '/exports/reports/', '/exports/data/', '/exports/csv/', '/exports/pdf/', '/imports/', '/imports/data/', '/imports/csv/', '/imports/xml/', '/imports/json/', '/reports/', '/reports/daily/', '/reports/weekly/', '/reports/monthly/', '/reports/annual/', '/media/', '/media/images/', '/media/videos/', '/media/audio/', '/media/documents/', '/downloads/', '/downloads/software/', '/downloads/documents/', '/downloads/updates/', ] content_types = ['text/html; charset=utf-8', 'application/json', 'text/plain', 'text/css', 'application/xml', 'application/javascript', 'text/xml'] # 直接获取域名目标来生成目录数据 cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 100") domain_targets = cur.fetchall() if not domain_targets: print(" ⚠ 没有域名目标，跳过\n") return count = 0 batch_data = [] for target_id, target_name in domain_targets: num = random.randint(60, 100) selected = random.sample(dir_paths, min(num, len(dir_paths))) for idx, path in enumerate(selected): # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'directory/{idx:04d}') batch_data.append(( url, target_id, random.choice([200, 301, 302, 403, 404, 500]), random.randint(0, 100000), random.randint(0, 5000), random.randint(0, 500), random.choice(content_types), random.randint(10000000, 5000000000) )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO directory ( url, target_id, status, content_length, words, lines, content_type, duration, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个目录\n") def create_host_port_mappings(self, target_ids: list): """创建主机端口映射""" print("🔌 创建主机端口映射...") cur = self.conn.cursor() # 扩展端口列表，包含更多常见端口 ports = [ # 常见服务端口 20, 21, 22, 23, 25, 26, 53, 69, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 110, 111, 113, 119, 123, 135, 137, 138, 139, 143, 161, 162, 179, 194, 199, 389, 443, 444, 445, 465, 500, 512, 513, 514, 515, 520, 523, 524, 548, 554, # 数据库端口 1433, 1434, 1521, 1522, 1525, 1526, 1527, 1528, 1529, 1530, 3306, 3307, 3308, 5432, 5433, 5434, 6379, 6380, 6381, 9200, 9201, 9300, 9301, 27017, 27018, 27019, 28017, # Web 服务端口 8000, 8001, 8002, 8003, 8004, 8005, 8006, 8007, 8008, 8009, 8010, 8080, 8081, 8082, 8083, 8084, 8085, 8086, 8087, 8088, 8089, 8090, 8443, 8444, 8445, 8888, 8889, 9000, 9001, 9002, 9003, 9090, 9091, 9443, # 消息队列和缓存 5672, 5673, 15672, 25672, 4369, 11211, 11212, 11213, # 容器和编排 2375, 2376, 2377, 2379, 2380, 6443, 6444, 10250, 10251, 10252, 10255, # 监控和日志 3000, 3001, 3002, 9090, 9091, 9093, 9094, 9100, 9104, 9115, 9116, 5601, 5602, 9600, 9601, 24224, 24225, # 其他常见端口 993, 995, 1080, 1081, 1723, 2049, 2181, 2182, 2183, 3128, 3129, 3389, 3390, 4443, 4444, 5000, 5001, 5002, 5003, 5900, 5901, 5902, 5984, 5985, 6000, 6001, 6002, 7001, 7002, 7003, 7070, 7071, 7443, 7474, 7687, 8161, 8162, 8180, 8181, 8200, 8201, 8280, 8281, 8300, 8301, 8400, 8401, 8500, 8501, 8600, 8601, 8686, 8687, 8787, 8788, 8880, 8881, 8983, 8984, 9418, 9419, 9999, 10000, 10001, 10002, 11111, 12345, 15000, 15001, 16379, 16380, 18080, 18081, 19999, 20000, 22222, 27018, 27019, 28015, 28016, 29015, 29016, 30000, 30001, 31337, 32768, 33060, 33061, 44818, 47001, 49152, 50000, 50001, 50070, 50075, 50090, 54321, 55555, 60000, 60001, 61616, 61617, ] # 去重 ports = list(set(ports)) # 获取域名目标 cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL LIMIT 80") domain_targets = cur.fetchall() count = 0 batch_data = [] for target_id, target_name in domain_targets: num_ips = random.randint(15, 30) for _ in range(num_ips): ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}' # 增加每个 IP 的端口数量，30-60 个端口 num_ports = random.randint(30, 60) selected_ports = random.sample(ports, min(num_ports, len(ports))) for port in selected_ports: batch_data.append((target_id, target_name, ip, port)) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO host_port_mapping (target_id, host, ip, port, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个主机端口映射\n") def create_vulnerabilities(self, target_ids: list): """创建漏洞（基于 website URL 前缀）""" print("🐛 创建漏洞...") cur = self.conn.cursor() vuln_types = [ 'sql-injection-authentication-bypass-vulnerability-', 'cross-site-scripting-xss-stored-persistent-attack-', 'cross-site-request-forgery-csrf-token-validation--', 'server-side-request-forgery-ssrf-internal-access--', 'xml-external-entity-xxe-injection-vulnerability---', 'remote-code-execution-rce-command-injection-flaw--', 'local-file-inclusion-lfi-path-traversal-exploit---', 'directory-traversal-arbitrary-file-read-access----', 'authentication-bypass-session-management-flaw-----', 'insecure-direct-object-reference-idor-access-ctrl-', 'sensitive-data-exposure-information-disclosure----', 'security-misconfiguration-default-credentials-----', 'broken-access-control-privilege-escalation-vuln---', 'cors-misconfiguration-cross-origin-data-leakage---', 'subdomain-takeover-dns-misconfiguration-exploit---', 'exposed-admin-panel-unauthorized-access-control---', 'default-credentials-weak-authentication-bypass----', 'information-disclosure-sensitive-data-exposure----', 'command-injection-os-command-execution-exploit----', 'ldap-injection-directory-service-manipulation-----', ] sources = [ 'nuclei-vulnerability-scanner--', 'dalfox-xss-parameter-analysis-', 'sqlmap-sql-injection-testing--', 'crlfuzz-crlf-injection-finder-', 'httpx-web-probe-fingerprint---', 'manual-penetration-testing----', 'burp-suite-professional-scan--', 'owasp-zap-security-scanner----', ] severities = ['unknown', 'info', 'low', 'medium', 'high', 'critical'] # 漏洞路径后缀（会追加到 website URL 后面） vuln_paths = [ '/api/users?id=1', '/api/admin/config', '/api/v1/auth/login', '/api/v2/data/export', '/admin/settings', '/debug/console', '/backup/db.sql', '/.env', '/.git/config', '/wp-admin/', '/phpmyadmin/', '/api/graphql', '/swagger.json', '/actuator/health', '/metrics', ] # 获取所有 website 的 URL 和 target_id cur.execute("SELECT id, url, target_id FROM website LIMIT 500") websites = cur.fetchall() if not websites: print(" ⚠ 没有 website 数据，跳过漏洞生成\n") return count = 0 batch_data = [] for website_id, website_url, target_id in websites: # 每个 website 生成 1-5 个漏洞 num_vulns = random.randint(1, 5) for idx in range(num_vulns): severity = random.choice(severities) cvss_ranges = { 'critical': (9.0, 10.0), 'high': (7.0, 8.9), 'medium': (4.0, 6.9), 'low': (0.1, 3.9), 'info': (0.0, 0.0), 'unknown': (0.0, 10.0) } cvss_range = cvss_ranges.get(severity, (0.0, 10.0)) cvss_score = round(random.uniform(*cvss_range), 1) # 漏洞 URL = website URL + 漏洞路径 # 先移除 website URL 中的查询参数 base_url = website_url.split('?')[0] vuln_url = base_url + random.choice(vuln_paths) description = generate_fixed_length_text(length=300, text_type='description') raw_output = json.dumps({ 'template': f'CVE-2024-{random.randint(10000, 99999)}', 'matcher_name': 'default', 'severity': severity, 'matched_at': vuln_url, }) batch_data.append(( target_id, vuln_url, random.choice(vuln_types), severity, random.choice(sources), cvss_score, description, raw_output )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO vulnerability ( target_id, url, vuln_type, severity, source, cvss_score, description, raw_output, created_at ) VALUES %s """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个漏洞\n") def create_subdomain_snapshots(self, scan_ids: list): """创建子域名快照""" print("📸 创建子域名快照...") cur = self.conn.cursor() if not scan_ids: print(" ⚠ 缺少扫描任务，跳过\n") return prefixes = [ 'api', 'admin', 'portal', 'dashboard', 'app', 'mobile', 'staging', 'dev', 'test', 'qa', 'uat', 'beta', 'mail', 'vpn', 'cdn', 'static', 'auth', 'login', 'sso', 'oauth', 'identity', 'accounts', 'secure', 'monitoring', 'metrics', 'grafana', 'prometheus', 'kibana', 'logs', 'jenkins', 'ci', 'cd', 'gitlab', 'jira', 'confluence', 'kubernetes', 'www', 'www2', 'ns1', 'ns2', 'mx', 'mx1', 'autodiscover', 'webmail', 'api-v1', 'api-v2', 'api-v3', 'internal', 'external', 'public', 'private', 'gateway', 'proxy', 'cache', 'redis', 'mongo', 'mysql', 'postgres', 'elastic', 'search', 'analytics', 'reporting', 'billing', 'payment', 'checkout', 'cart', 'shop', 'store', 'catalog', 'inventory', 'orders', 'users', 'customers', 'partners', 'vendors', 'suppliers', 'merchants', 'docs', 'help', 'support', 'faq', 'kb', 'wiki', 'blog', 'news', 'status', 'health', 'ping', 'heartbeat', 'uptime', 'monitor', 'backup', 'archive', 'storage', 'files', 'uploads', 'downloads', 'assets', 'images', 'media', 'video', 'audio', 'fonts', 'icons', 'api-gateway', 'load-balancer', 'reverse-proxy', 'edge', 'origin', 'primary', 'secondary', 'failover', 'replica', 'master', 'slave', 'prod', 'stage', 'preprod', 'sandbox', 'demo', 'preview', 'canary', ] count = 0 batch_data = [] for scan_id in scan_ids: # 为所有扫描创建快照 # 获取扫描对应的目标域名 cur.execute(""" SELECT t.name FROM scan s JOIN target t ON s.target_id = t.id WHERE s.id = %s AND t.type = 'domain' """, (scan_id,)) row = cur.fetchone() if not row: continue target_name = row[0] num = random.randint(60, 100) selected = random.sample(prefixes, min(num, len(prefixes))) for prefix in selected: subdomain_name = f'{prefix}.{target_name}' batch_data.append((scan_id, subdomain_name)) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO subdomain_snapshot (scan_id, name, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, NOW())") print(f" ✓ 创建了 {count} 个子域名快照\n") def create_website_snapshots(self, scan_ids: list): """创建网站快照""" print("📸 创建网站快照...") cur = self.conn.cursor() if not scan_ids: print(" ⚠ 缺少扫描任务，跳过\n") return titles = [ 'Enterprise Portal - Login | Secure Access Required - Multi-Factor Authentication', 'Admin Dashboard - System Management | Configuration Settings Overview', 'API Documentation - Swagger UI | RESTful Endpoints Reference Guide', 'Customer Portal - Account Management | Billing Subscription Services', 'Developer Console - Application Management | API Keys Webhooks Configuration', 'Support Center - Help Desk | Knowledge Base FAQ Ticket System', 'Analytics Dashboard - Business Intelligence | Real-time Metrics Reporting', 'Security Center - Threat Detection | Vulnerability Assessment Reports', 'User Management - Identity Access Control | Role Permission Administration', 'Content Management System - Publishing Platform | Media Library Editor', ] webservers = ['nginx/1.24.0', 'nginx/1.25.3', 'Apache/2.4.57', 'Apache/2.4.58', 'cloudflare', 'gunicorn/21.2.0', 'Microsoft-IIS/10.0'] tech_stacks = [['React', 'Node.js', 'Express'], ['Vue.js', 'Django', 'PostgreSQL'], ['Angular', 'Spring Boot', 'MySQL'], ['Next.js', 'FastAPI', 'Redis'], ['Svelte', 'Go', 'MongoDB'], ['React', 'NestJS', 'TypeORM']] count = 0 batch_data = [] for scan_id in scan_ids: # 为所有扫描创建快照 cur.execute(""" SELECT t.name FROM scan s JOIN target t ON s.target_id = t.id WHERE s.id = %s AND t.type = 'domain' """, (scan_id,)) row = cur.fetchone() if not row: continue target_name = row[0] for i in range(random.randint(30, 60)): # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'website-snap/{i:04d}') # 生成模拟的响应头数据 response_headers = { 'server': random.choice(['nginx', 'Apache', 'cloudflare']), 'content_type': 'text/html; charset=utf-8', 'x_frame_options': random.choice(['DENY', 'SAMEORIGIN', None]), } # 移除 None 值 response_headers = {k: v for k, v in response_headers.items() if v is not None} batch_data.append(( scan_id, url, target_name, random.choice(titles), random.choice(webservers), random.choice(tech_stacks), random.choice([200, 301, 403]), random.randint(1000, 50000), 'text/html; charset=utf-8', '', # location 字段 'TestContent', generate_raw_response_headers(response_headers) )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO website_snapshot ( scan_id, url, host, title, webserver, tech, status_code, content_length, content_type, location, response_body, response_headers, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个网站快照\n") def create_endpoint_snapshots(self, scan_ids: list): """创建端点快照""" print("📸 创建端点快照...") cur = self.conn.cursor() if not scan_ids: print(" ⚠ 缺少扫描任务，跳过\n") return paths = [ '/api/v1/users', '/api/v1/auth/login', '/api/v2/products', '/admin/dashboard', '/graphql', '/health', '/metrics', '/api/v1/organizations/departments/teams/members', '/api/v2/inventory/warehouse/locations/products', '/api/v3/reporting/analytics/metrics/summary', '/admin/system/configuration/security/settings', '/portal/customer/account/billing/invoices', '/internal/monitoring/kubernetes/pods/status', '/webhook/integration/payment/callback/handler', '/oauth/authorize/callback/redirect', '/swagger/v1/api-docs/openapi.json', ] # 100字符长度的标题 titles = [ 'Enterprise API Gateway - RESTful Service Documentation with OpenAPI 3.0 Specification and Interactive', 'User Authentication Service - OAuth 2.0 and SAML 2.0 Single Sign-On Integration Platform Dashboard', 'Payment Processing Gateway - PCI-DSS Compliant Transaction Management System Administration Panel', 'Content Delivery Network - Global Edge Cache Management and Real-time Analytics Dashboard Interface', 'Database Administration Console - PostgreSQL Cluster Management with Automated Backup and Recovery', ] # 扩展的技术栈列表 all_techs = [ 'React 18.2.0', 'Vue.js 3.4', 'Angular 17.1', 'Next.js 14.0', 'Node.js 20.10', 'Express 4.18', 'Python 3.12', 'Django 5.0', 'FastAPI 0.109', 'Go 1.21', 'PostgreSQL 16.1', 'MySQL 8.2', 'MongoDB 7.0', 'Redis 7.2', 'Elasticsearch 8.11', 'Kubernetes 1.28', 'Docker 24.0', 'Nginx 1.25', 'GraphQL 16.8', 'JWT', ] # 扩展的 tags all_tags = [ 'debug', 'config', 'api', 'json', 'upload', 'file', 'admin', 'auth', 'secrets', 'credentials', 'backup', 'archive', 'trace', 'log', 'error', 'security', 'vulnerability', 'payment', 'user', 'internal', 'private', ] count = 0 batch_data = [] for scan_id in scan_ids: # 为所有扫描创建快照 cur.execute(""" SELECT t.name FROM scan s JOIN target t ON s.target_id = t.id WHERE s.id = %s AND t.type = 'domain' """, (scan_id,)) row = cur.fetchone() if not row: continue target_name = row[0] for idx, path in enumerate(random.sample(paths, min(random.randint(40, 80), len(paths)))): # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'endpoint-snap/{idx:04d}') # 生成 100 字符的标题 title = random.choice(titles) # 生成 10-20 个技术 num_techs = random.randint(10, 20) tech_list = random.sample(all_techs, min(num_techs, len(all_techs))) # 生成 10-20 个 tags num_tags = random.randint(10, 20) tags = random.sample(all_tags, min(num_tags, len(all_tags))) # 生成模拟的响应头数据 response_headers = { 'server': 'nginx/1.24.0', 'content_type': 'application/json', 'x_request_id': f'req_{random.randint(100000, 999999)}', } batch_data.append(( scan_id, url, target_name, title, random.choice([200, 201, 401, 403, 404]), random.randint(100, 5000), '', # location 'nginx/1.24.0', 'application/json', tech_list, '{"status":"ok","data":{}}', tags, generate_raw_response_headers(response_headers) )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO endpoint_snapshot ( scan_id, url, host, title, status_code, content_length, location, webserver, content_type, tech, response_body, matched_gf_patterns, response_headers, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个端点快照\n") def create_directory_snapshots(self, scan_ids: list): """创建目录快照""" print("📸 创建目录快照...") cur = self.conn.cursor() if not scan_ids: print(" ⚠ 缺少扫描任务，跳过\n") return dirs = [ '/admin/', '/backup/', '/config/', '/uploads/', '/static/', '/assets/', '/images/', '/js/', '/css/', '/api/', '/admin/config/', '/admin/logs/', '/admin/backup/', '/admin/users/', '/system/', '/system/config/', '/system/logs/', '/system/cache/', '/storage/', '/storage/uploads/', '/storage/temp/', '/storage/cache/', '/resources/', '/resources/images/', '/resources/documents/', '/public/', '/public/assets/', '/public/uploads/', '/public/images/', '/private/data/', '/private/config/', '/private/keys/', '/backup/daily/', '/backup/weekly/', '/backup/database/', '/logs/access/', '/logs/error/', '/logs/audit/', '/logs/security/', '/cache/', '/cache/views/', '/cache/data/', '/cache/sessions/', '/tmp/', '/tmp/uploads/', '/tmp/sessions/', '/tmp/exports/', '/exports/', '/exports/reports/', '/exports/data/', '/exports/csv/', ] count = 0 batch_data = [] for scan_id in scan_ids: # 为所有扫描创建快照 cur.execute(""" SELECT t.name FROM scan s JOIN target t ON s.target_id = t.id WHERE s.id = %s AND t.type = 'domain' """, (scan_id,)) row = cur.fetchone() if not row: continue target_name = row[0] for idx, d in enumerate(random.sample(dirs, min(random.randint(50, 80), len(dirs)))): # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'dir-snap/{idx:04d}') batch_data.append(( scan_id, url, random.choice([200, 301, 403]), random.randint(500, 10000), random.randint(50, 500), random.randint(10, 100), 'text/html', random.randint(10000000, 500000000) # 纳秒 )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO directory_snapshot ( scan_id, url, status, content_length, words, lines, content_type, duration, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个目录快照\n") def create_host_port_mapping_snapshots(self, scan_ids: list): """创建主机端口映射快照""" print("📸 创建主机端口映射快照...") cur = self.conn.cursor() if not scan_ids: print(" ⚠ 缺少扫描任务，跳过\n") return common_ports = [22, 80, 443, 3306, 5432, 6379, 8080, 8443, 9000, 21, 23, 25, 53, 110, 143, 389, 445, 993, 995, 1433, 1521, 2049, 2181, 3000, 3389, 5000, 5672, 6443, 7001, 8000, 8081, 8888, 9090, 9200, 27017] count = 0 batch_data = [] for scan_id in scan_ids: # 为所有扫描创建快照 cur.execute(""" SELECT t.name FROM scan s JOIN target t ON s.target_id = t.id WHERE s.id = %s AND t.type = 'domain' """, (scan_id,)) row = cur.fetchone() if not row: continue target_name = row[0] # 生成多个随机 IP for _ in range(random.randint(10, 20)): ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}' for port in random.sample(common_ports, min(random.randint(20, 35), len(common_ports))): batch_data.append((scan_id, target_name, ip, port)) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO host_port_mapping_snapshot ( scan_id, host, ip, port, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个主机端口映射快照\n") def create_vulnerability_snapshots(self, scan_ids: list): """创建漏洞快照""" print("📸 创建漏洞快照...") cur = self.conn.cursor() if not scan_ids: print(" ⚠ 缺少扫描任务，跳过\n") return vuln_types = [ 'sql-injection-authentication-bypass-vulnerability-', 'cross-site-scripting-xss-stored-persistent-attack-', 'server-side-request-forgery-ssrf-internal-access--', 'remote-code-execution-rce-command-injection-flaw--', 'insecure-direct-object-reference-idor-access-ctrl-', 'authentication-bypass-session-management-flaw-----', 'cors-misconfiguration-cross-origin-data-leakage---', 'command-injection-os-command-execution-exploit----', 'deserialization-vulnerability-object-injection----', 'jwt-vulnerability-token-forgery-authentication----', 'open-redirect-url-redirection-phishing-attack-----', 'path-traversal-arbitrary-file-read-access-vuln----', ] severities = ['critical', 'high', 'medium', 'low', 'info'] sources = [ 'nuclei-vulnerability-scanner--', 'dalfox-xss-parameter-analysis-', 'sqlmap-sql-injection-testing--', 'burp-suite-professional-scan--', 'owasp-zap-security-scanner----', 'nmap-network-service-scanner--', 'nikto-web-server-scanner------', ] count = 0 batch_data = [] for scan_id in scan_ids: # 为所有扫描创建快照 cur.execute(""" SELECT t.name FROM scan s JOIN target t ON s.target_id = t.id WHERE s.id = %s AND t.type = 'domain' """, (scan_id,)) row = cur.fetchone() if not row: continue target_name = row[0] for idx in range(random.randint(30, 60)): severity = random.choice(severities) cvss_ranges = { 'critical': (9.0, 10.0), 'high': (7.0, 8.9), 'medium': (4.0, 6.9), 'low': (0.1, 3.9), 'info': (0.0, 0.0) } cvss_range = cvss_ranges.get(severity, (0.0, 10.0)) cvss_score = round(random.uniform(*cvss_range), 1) # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'vuln-snap/{idx:04d}') # 生成固定 300 长度的描述 description = generate_fixed_length_text(length=300, text_type='description') batch_data.append(( scan_id, url, random.choice(vuln_types), severity, random.choice(sources), cvss_score, description, json.dumps({'template': f'CVE-2024-{random.randint(10000, 99999)}'}) )) count += 1 # 批量插入 if batch_data: execute_values(cur, """ INSERT INTO vulnerability_snapshot ( scan_id, url, vuln_type, severity, source, cvss_score, description, raw_output, created_at ) VALUES %s """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个漏洞快照\n") def create_ehole_fingerprints(self): """创建 EHole 指纹数据""" print("🔍 创建 EHole 指纹...") cur = self.conn.cursor() # CMS/产品名称模板（长名称） cms_templates = [ 'WordPress-Enterprise-Content-Management-System-Professional-Edition', 'Drupal-Open-Source-CMS-Platform-Community-Extended-Version', 'Joomla-Web-Content-Management-Framework-Business-Suite', 'Magento-E-Commerce-Platform-Enterprise-Cloud-Edition', 'Shopify-Online-Store-Builder-Professional-Business-Plan', 'PrestaShop-E-Commerce-Solution-Multi-Store-Edition', 'OpenCart-Shopping-Cart-System-Enterprise-Features', 'WooCommerce-WordPress-E-Commerce-Plugin-Extended', 'Laravel-PHP-Framework-Application-Boilerplate', 'Django-Python-Web-Framework-Admin-Dashboard', 'Spring-Boot-Java-Microservices-Framework-Starter', 'Express-Node-JS-Web-Application-Framework-API', 'Ruby-on-Rails-MVC-Framework-Application-Template', 'ASP-NET-Core-Microsoft-Web-Framework-Enterprise', 'Flask-Python-Micro-Framework-REST-API-Template', 'FastAPI-Python-Modern-Web-Framework-OpenAPI', 'Next-JS-React-Framework-Server-Side-Rendering', 'Nuxt-JS-Vue-Framework-Universal-Application', 'Angular-Universal-Server-Side-Rendering-Platform', 'Svelte-Kit-Web-Application-Framework-Compiler', 'Apache-Tomcat-Java-Servlet-Container-Server', 'Nginx-Web-Server-Reverse-Proxy-Load-Balancer', 'Microsoft-IIS-Internet-Information-Services-Server', 'Apache-HTTP-Server-Web-Server-Platform', 'Caddy-Web-Server-Automatic-HTTPS-Configuration', 'LiteSpeed-Web-Server-High-Performance-HTTP', 'Oracle-WebLogic-Server-Java-EE-Application', 'IBM-WebSphere-Application-Server-Enterprise', 'JBoss-EAP-Enterprise-Application-Platform-RedHat', 'GlassFish-Server-Open-Source-Java-EE-Reference', ] methods = ['keyword', 'faviconhash', 'regula'] locations = ['body', 'header', 'title', 'server', 'cookie', 'cert'] types = ['CMS', 'Framework', 'Server', 'Database', 'Cache', 'CDN', 'WAF', 'Load-Balancer', 'Container', 'Cloud'] # 关键词模板（多个长关键词） keyword_templates = [ ['wp-content/themes/', 'wp-includes/js/', 'wp-admin/css/', 'wordpress-hash-', 'wp-json/wp/v2/'], ['sites/all/modules/', 'misc/drupal.js', 'drupal-settings-json', 'X-Drupal-Cache', 'X-Generator: Drupal'], ['media/jui/js/', 'administrator/index.php', 'Joomla!', 'com_content', 'mod_custom'], ['skin/frontend/', 'Mage.Cookies', 'MAGENTO_CACHE', 'varien/js.js', 'mage/cookies.js'], ['cdn.shopify.com', 'Shopify.theme', 'shopify-section', 'shopify-payment-button', 'myshopify.com'], ['prestashop', 'PrestaShop', 'ps_versions_compliancy', 'prestashop-page', 'id_product'], ['catalog/view/theme/', 'index.php?route=', 'OpenCart', 'text_home', 'common/home'], ['woocommerce', 'WooCommerce', 'wc-ajax', 'woocommerce-page', 'add_to_cart_button'], ['laravel_session', 'XSRF-TOKEN', 'Laravel', 'laravel-livewire', 'laravel_token'], ['csrfmiddlewaretoken', 'django.contrib', 'Django', '__admin_media_prefix__', 'django-debug-toolbar'], ['X-Application-Context', 'spring-boot', 'Spring', 'actuator/health', 'spring-security'], ['X-Powered-By: Express', 'express-session', 'connect.sid', 'express.static', 'express-validator'], ['X-Powered-By: Phusion', 'Rails', 'csrf-token', 'action_controller', 'rails-ujs'], ['X-AspNet-Version', 'ASP.NET', '__VIEWSTATE', '__EVENTVALIDATION', 'aspnetcore-'], ['Werkzeug', 'Flask', 'flask-login', 'flask-wtf', 'flask-session'], ] count = 0 batch_data = [] for i in range(200): # 生成 200 条 EHole 指纹 cms = f'{random.choice(cms_templates)}-{random.randint(1000, 9999)}' method = random.choice(methods) location = random.choice(locations) keywords = random.choice(keyword_templates) + [f'custom-keyword-{random.randint(10000, 99999)}' for _ in range(random.randint(3, 8))] is_important = random.choice([True, False]) fp_type = random.choice(types) batch_data.append(( cms, method, location, json.dumps(keywords), is_important, fp_type )) count += 1 if batch_data: execute_values(cur, """ INSERT INTO ehole_fingerprint (cms, method, location, keyword, is_important, type, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个 EHole 指纹\n") def create_goby_fingerprints(self): """创建 Goby 指纹数据""" print("🔍 创建 Goby 指纹...") cur = self.conn.cursor() # 产品名称模板（长名称） name_templates = [ 'Apache-Tomcat-Java-Servlet-Container-Application-Server-Enterprise', 'Nginx-High-Performance-Web-Server-Reverse-Proxy-Load-Balancer', 'Microsoft-Exchange-Server-Email-Collaboration-Platform-Enterprise', 'VMware-vCenter-Server-Virtual-Infrastructure-Management-Platform', 'Cisco-Adaptive-Security-Appliance-Firewall-VPN-Concentrator', 'Fortinet-FortiGate-Next-Generation-Firewall-Security-Platform', 'Palo-Alto-Networks-Firewall-Threat-Prevention-Platform', 'F5-BIG-IP-Application-Delivery-Controller-Load-Balancer', 'Citrix-NetScaler-Application-Delivery-Controller-Gateway', 'Juniper-Networks-SRX-Series-Services-Gateway-Firewall', 'Oracle-WebLogic-Server-Java-Enterprise-Application-Platform', 'IBM-WebSphere-Application-Server-Java-EE-Enterprise-Edition', 'SAP-NetWeaver-Application-Server-Business-Suite-Platform', 'Adobe-Experience-Manager-Content-Management-System-Enterprise', 'Atlassian-Confluence-Team-Collaboration-Wiki-Platform-Server', 'Atlassian-Jira-Project-Issue-Tracking-Software-Server-Edition', 'GitLab-DevOps-Platform-Source-Code-Management-CI-CD-Pipeline', 'Jenkins-Automation-Server-Continuous-Integration-Deployment', 'SonarQube-Code-Quality-Security-Analysis-Platform-Enterprise', 'Elasticsearch-Distributed-Search-Analytics-Engine-Cluster', 'Kibana-Data-Visualization-Dashboard-Elasticsearch-Frontend', 'Grafana-Observability-Platform-Metrics-Logs-Traces-Dashboard', 'Prometheus-Monitoring-System-Time-Series-Database-Alerting', 'Zabbix-Enterprise-Monitoring-Solution-Network-Server-Cloud', 'Nagios-Infrastructure-Monitoring-Alerting-System-Enterprise', 'Redis-In-Memory-Data-Structure-Store-Cache-Message-Broker', 'MongoDB-Document-Database-NoSQL-Distributed-Cluster-Platform', 'PostgreSQL-Advanced-Open-Source-Relational-Database-System', 'MySQL-Enterprise-Relational-Database-Management-System-Server', 'Microsoft-SQL-Server-Relational-Database-Management-Platform', ] # 逻辑表达式模板 logic_templates = [ '(a&&b)||c', 'a||(b&&c)', '(a||b)&&(c||d)', 'a&&b&&c', 'a||b||c', '((a&&b)||c)&&d', '(a||(b&&c))&&(d||e)', 'a&&(b||c)&&d', '(a&&b&&c)||(d&&e)', '((a||b)&&c)||(d&&e&&f)', ] # 规则模板 rule_labels = ['body', 'header', 'title', 'server', 'cert', 'banner', 'protocol', 'port'] count = 0 batch_data = [] for i in range(200): # 生成 200 条 Goby 指纹 name = f'{random.choice(name_templates)}-{random.randint(1000, 9999)}' logic = random.choice(logic_templates) # 生成 5-15 条规则 num_rules = random.randint(5, 15) rules = [] for j in range(num_rules): rule = { 'label': random.choice(rule_labels), 'feature': f'feature-pattern-{random.randint(10000, 99999)}-{random.choice(["regex", "keyword", "hash"])}', 'is_equal': random.choice([True, False]) } rules.append(rule) batch_data.append((name, logic, json.dumps(rules))) count += 1 if batch_data: execute_values(cur, """ INSERT INTO goby_fingerprint (name, logic, rule, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个 Goby 指纹\n") def create_wappalyzer_fingerprints(self): """创建 Wappalyzer 指纹数据""" print("🔍 创建 Wappalyzer 指纹...") cur = self.conn.cursor() # 应用名称模板（长名称） name_templates = [ 'WordPress-Content-Management-System-Open-Source-Blogging-Platform', 'React-JavaScript-Library-User-Interface-Components-Facebook', 'Vue-JS-Progressive-JavaScript-Framework-Reactive-Components', 'Angular-Platform-Web-Application-Framework-Google-TypeScript', 'jQuery-JavaScript-Library-DOM-Manipulation-Event-Handling', 'Bootstrap-CSS-Framework-Responsive-Design-Mobile-First', 'Tailwind-CSS-Utility-First-Framework-Rapid-UI-Development', 'Node-JS-JavaScript-Runtime-Server-Side-V8-Engine-Platform', 'Express-JS-Web-Application-Framework-Node-JS-Middleware', 'Django-Python-Web-Framework-Batteries-Included-MTV-Pattern', 'Flask-Python-Micro-Framework-Lightweight-WSGI-Application', 'Ruby-on-Rails-MVC-Framework-Convention-Over-Configuration', 'Laravel-PHP-Framework-Elegant-Syntax-Expressive-Beautiful', 'Spring-Framework-Java-Enterprise-Application-Development', 'ASP-NET-Core-Cross-Platform-Web-Framework-Microsoft-Open', 'Nginx-Web-Server-Reverse-Proxy-Load-Balancer-HTTP-Cache', 'Apache-HTTP-Server-Web-Server-Cross-Platform-Open-Source', 'Cloudflare-CDN-DDoS-Protection-Web-Application-Firewall', 'Amazon-Web-Services-Cloud-Computing-Platform-Infrastructure', 'Google-Cloud-Platform-Cloud-Computing-Services-Infrastructure', 'Microsoft-Azure-Cloud-Computing-Service-Platform-Enterprise', 'Docker-Container-Platform-Application-Deployment-Orchestration', 'Kubernetes-Container-Orchestration-Platform-Cloud-Native', 'Elasticsearch-Search-Analytics-Engine-Distributed-RESTful', 'Redis-In-Memory-Data-Store-Cache-Message-Broker-Database', 'MongoDB-Document-Database-NoSQL-Scalable-High-Performance', 'PostgreSQL-Object-Relational-Database-System-Open-Source', 'MySQL-Relational-Database-Management-System-Oracle-Open', 'GraphQL-Query-Language-API-Runtime-Data-Fetching-Facebook', 'Webpack-Module-Bundler-JavaScript-Asset-Pipeline-Build-Tool', ] # 分类 ID cats_options = [ [1, 2, 3], [4, 5], [6, 7, 8, 9], [10, 11, 12], [13, 14, 15, 16], [17, 18], [19, 20, 21], [22, 23, 24, 25], [26, 27], [28, 29, 30], ] # 描述模板 descriptions = [ 'A powerful and flexible content management system designed for enterprise-level web applications with extensive plugin ecosystem and community support.', 'Modern JavaScript framework for building interactive user interfaces with component-based architecture and virtual DOM for optimal performance.', 'High-performance web server and reverse proxy with advanced load balancing, caching, and security features for production deployments.', 'Comprehensive cloud computing platform providing infrastructure as a service, platform as a service, and software as a service solutions.', 'Enterprise-grade database management system with ACID compliance, advanced security features, and horizontal scaling capabilities.', 'Container orchestration platform for automating deployment, scaling, and management of containerized applications across clusters.', 'Full-stack web application framework with built-in ORM, authentication, and admin interface for rapid development.', 'Lightweight and modular CSS framework with utility classes for building responsive and customizable user interfaces.', 'Real-time search and analytics engine with distributed architecture for handling large-scale data processing workloads.', 'In-memory data structure store supporting various data types with persistence options and pub/sub messaging capabilities.', ] count = 0 batch_data = [] for i in range(200): # 生成 200 条 Wappalyzer 指纹 name = f'{random.choice(name_templates)}-{random.randint(1000, 9999)}' cats = random.choice(cats_options) # 生成 cookies 规则 cookies = {} for j in range(random.randint(2, 5)): cookies[f'cookie_name_{j}'] = f'regex_pattern_{random.randint(1000, 9999)}' # 生成 headers 规则 headers = {} header_names = ['X-Powered-By', 'Server', 'X-Generator', 'X-Framework', 'X-Application'] for h in random.sample(header_names, random.randint(2, 4)): headers[h] = f'pattern_{random.randint(1000, 9999)}' # 生成 script_src 规则 script_src = [f'/js/lib/framework-{random.randint(100, 999)}.min.js' for _ in range(random.randint(3, 8))] # 生成 js 变量规则 js_vars = [f'window.Framework{random.randint(100, 999)}' for _ in range(random.randint(2, 6))] # 生成 implies 依赖 implies = [f'Dependency-{random.randint(100, 999)}' for _ in range(random.randint(1, 4))] # 生成 meta 规则 meta = {} meta_names = ['generator', 'framework', 'application-name', 'author', 'description'] for m in random.sample(meta_names, random.randint(2, 4)): meta[m] = f'meta_pattern_{random.randint(1000, 9999)}' # 生成 html 规则 html = [f'
    ' for _ in range(random.randint(3, 7))] description = random.choice(descriptions) website = f'https://www.example-framework-{random.randint(1000, 9999)}.com' cpe = f'cpe:/a:vendor:product:{random.randint(1, 10)}.{random.randint(0, 9)}.{random.randint(0, 9)}' batch_data.append(( name, json.dumps(cats), json.dumps(cookies), json.dumps(headers), json.dumps(script_src), json.dumps(js_vars), json.dumps(implies), json.dumps(meta), json.dumps(html), description, website, cpe )) count += 1 if batch_data: execute_values(cur, """ INSERT INTO wappalyzer_fingerprint ( name, cats, cookies, headers, script_src, js, implies, meta, html, description, website, cpe, created_at ) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())") print(f" ✓ 创建了 {count} 个 Wappalyzer 指纹\n") def create_fingers_fingerprints(self): """创建 Fingers 指纹数据""" print("🔍 创建 Fingers 指纹...") cur = self.conn.cursor() # 应用名称模板（长名称） name_templates = [ 'Apache-HTTP-Server-Web-Application-Platform-Open-Source-Software', 'Nginx-High-Performance-Web-Server-Reverse-Proxy-Load-Balancer', 'Microsoft-IIS-Internet-Information-Services-Windows-Web-Server', 'Tomcat-Java-Servlet-Container-Apache-Application-Server-Platform', 'WordPress-Content-Management-System-Blogging-Platform-PHP-MySQL', 'Drupal-CMS-Content-Management-Framework-PHP-Community-Platform', 'Joomla-Open-Source-CMS-Web-Content-Management-System-Framework', 'Laravel-PHP-Framework-Web-Application-Development-MVC-Pattern', 'Django-Python-Web-Framework-High-Level-MTV-Architecture-Pattern', 'Ruby-on-Rails-Web-Application-Framework-MVC-Convention-Configuration', 'Express-JS-Node-JS-Web-Application-Framework-Minimal-Flexible', 'Spring-Boot-Java-Framework-Microservices-Enterprise-Application', 'ASP-NET-Core-Cross-Platform-Web-Framework-Microsoft-Open-Source', 'React-JavaScript-Library-Building-User-Interfaces-Facebook-Meta', 'Vue-JS-Progressive-JavaScript-Framework-Web-Application-Development', 'Angular-TypeScript-Platform-Framework-Web-Applications-Google', 'jQuery-JavaScript-Library-DOM-Manipulation-Ajax-Event-Handling', 'Bootstrap-CSS-Framework-Responsive-Mobile-First-Web-Development', 'Tailwind-CSS-Utility-First-Framework-Rapid-UI-Development-Tool', 'Docker-Container-Platform-Application-Deployment-Virtualization', 'Kubernetes-Container-Orchestration-Platform-Cloud-Native-Apps', 'Redis-In-Memory-Data-Structure-Store-Database-Cache-Broker', 'MongoDB-Document-NoSQL-Database-Scalable-High-Performance', 'PostgreSQL-Relational-Database-Management-System-Open-Source', 'MySQL-Database-Management-System-Relational-Database-Oracle', 'Elasticsearch-Search-Analytics-Engine-Distributed-RESTful-API', 'RabbitMQ-Message-Broker-Advanced-Message-Queuing-Protocol', 'Jenkins-Automation-Server-Continuous-Integration-Deployment', 'GitLab-DevOps-Platform-Git-Repository-CI-CD-Pipeline-Management', 'Grafana-Observability-Platform-Metrics-Visualization-Dashboard', ] # 标签模板 tag_options = [ ['web-server', 'http', 'apache', 'linux'], ['web-server', 'reverse-proxy', 'nginx', 'high-performance'], ['web-server', 'windows', 'microsoft', 'iis'], ['cms', 'php', 'wordpress', 'blog', 'mysql'], ['cms', 'php', 'drupal', 'content-management'], ['framework', 'php', 'laravel', 'mvc', 'modern'], ['framework', 'python', 'django', 'full-stack'], ['framework', 'ruby', 'rails', 'mvc', 'convention'], ['framework', 'javascript', 'nodejs', 'express', 'backend'], ['framework', 'java', 'spring', 'enterprise', 'microservices'], ['framework', 'dotnet', 'aspnet', 'microsoft', 'cross-platform'], ['library', 'javascript', 'react', 'frontend', 'ui'], ['framework', 'javascript', 'vue', 'progressive', 'reactive'], ['framework', 'typescript', 'angular', 'google', 'spa'], ['database', 'nosql', 'mongodb', 'document', 'json'], ['database', 'relational', 'postgresql', 'sql', 'open-source'], ['database', 'relational', 'mysql', 'sql', 'oracle'], ['cache', 'database', 'redis', 'in-memory', 'key-value'], ['search', 'analytics', 'elasticsearch', 'distributed', 'restful'], ['container', 'docker', 'virtualization', 'deployment'], ] # 规则模板 rule_templates = [ # favicon hash 规则 [{'method': 'faviconhash', 'favicon': f'-{random.randint(1000000000, 9999999999)}'}], # keyword 规则 [{'method': 'keyword', 'keyword': ['X-Powered-By', 'Server', 'X-Generator']}], # 混合规则 [ {'method': 'keyword', 'keyword': ['content="WordPress', 'wp-content/', 'wp-includes/']}, {'method': 'faviconhash', 'favicon': f'-{random.randint(1000000000, 9999999999)}'} ], # header 规则 [{'method': 'keyword', 'keyword': ['Server: nginx', 'X-Powered-By: PHP']}], # body 规则 [{'method': 'keyword', 'keyword': [' list: """创建 1000 个扫描目标""" print("🎯 创建扫描目标 (1,000 个)...") cur = self.conn.cursor() suffix = random.randint(1000, 9999) domains = [ 'example', 'test', 'demo', 'staging', 'production', 'api', 'app', 'web', 'portal', 'admin', 'dashboard', 'service', 'platform', 'cloud', 'data', 'analytics', 'security', 'enterprise', 'global', 'internal', 'external' ] tlds = ['.com', '.io', '.net', '.org', '.dev', '.app', '.cloud', '.tech'] ids = [] for i in range(1000): domain = f'{random.choice(domains)}-{suffix}-{i:04d}{random.choice(tlds)}' cur.execute(""" INSERT INTO target (name, type, created_at, deleted_at) VALUES (%s, 'domain', NOW() - INTERVAL '%s days', NULL) ON CONFLICT DO NOTHING RETURNING id """, (domain, random.randint(0, 365))) row = cur.fetchone() if row: ids.append(row[0]) print(f" ✓ 创建了 {len(ids)} 个扫描目标\n") return ids def create_subdomains(self, target_ids: list): """创建 200,000 个子域名""" print("🌐 创建子域名 (200,000 个)...") cur = self.conn.cursor() prefixes = [ 'api', 'admin', 'portal', 'dashboard', 'app', 'mobile', 'staging', 'dev', 'test', 'qa', 'uat', 'beta', 'alpha', 'demo', 'sandbox', 'internal', 'secure', 'auth', 'login', 'sso', 'oauth', 'identity', 'accounts', 'mail', 'smtp', 'imap', 'webmail', 'ftp', 'sftp', 'files', 'storage', 'cdn', 'static', 'assets', 'media', 'db', 'database', 'mysql', 'postgres', 'redis', 'mongo', 'elastic', 'vpn', 'remote', 'gateway', 'proxy', 'monitoring', 'metrics', 'grafana', 'prometheus', 'kibana', 'logs', 'jenkins', 'ci', 'cd', 'gitlab', 'jira', 'confluence', 'kubernetes', 'k8s', 'www', 'www2', 'www3', 'ns1', 'ns2', 'mx', 'mx1', 'mx2', 'autodiscover', ] secondary = ['', 'prod-', 'dev-', 'staging-', 'test-', 'us-', 'eu-', 'ap-'] cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL") domain_targets = cur.fetchall() count = 0 batch_data = [] batch_size = 50000 # 增加批量大小 target_count = 200000 per_target = target_count // len(domain_targets) + 1 for target_id, target_name in domain_targets: for i in range(per_target): if count >= target_count: break prefix = random.choice(prefixes) sec = random.choice(secondary) subdomain_name = f'{sec}{prefix}-{i:04d}.{target_name}' batch_data.append((subdomain_name, target_id, random.randint(0, 90))) count += 1 if len(batch_data) >= batch_size: execute_values(cur, """ INSERT INTO subdomain (name, target_id, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, NOW() - INTERVAL '%s days')") self.conn.commit() # 每批次提交 batch_data = [] print(f" ✓ {count:,} / {target_count:,}") if count >= target_count: break if batch_data: execute_values(cur, """ INSERT INTO subdomain (name, target_id, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, NOW() - INTERVAL '%s days')") self.conn.commit() print(f" ✓ 创建了 {count:,} 个子域名\n") def create_websites(self, target_ids: list): """创建 200,000 个网站""" print("🌍 创建网站 (200,000 个)...") cur = self.conn.cursor() cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL") domain_targets = cur.fetchall() count = 0 batch_data = [] batch_size = 50000 # 增加批量大小 target_count = 200000 per_target = target_count // len(domain_targets) + 1 for target_id, target_name in domain_targets: for i in range(per_target): if count >= target_count: break # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'million-website/{i:06d}') batch_data.append(( url, target_id, target_name, f'Website Title {count}', 'nginx/1.24.0', ['React', 'Node.js'], random.choice([200, 301, 403]), random.randint(1000, 50000), 'text/html', '', '' )) count += 1 if len(batch_data) >= batch_size: execute_values(cur, """ INSERT INTO website (url, target_id, host, title, webserver, tech, status_code, content_length, content_type, location, response_body, vhost, response_headers, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NULL, '', NOW())") self.conn.commit() batch_data = [] print(f" ✓ {count:,} / {target_count:,}") if count >= target_count: break if batch_data: execute_values(cur, """ INSERT INTO website (url, target_id, host, title, webserver, tech, status_code, content_length, content_type, location, response_body, vhost, response_headers, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NULL, '', NOW())") self.conn.commit() print(f" ✓ 创建了 {count:,} 个网站\n") def create_endpoints(self, target_ids: list): """创建 200,000 个端点""" print("🔗 创建端点 (200,000 个)...") cur = self.conn.cursor() paths = ['/api/v1/', '/api/v2/', '/admin/', '/portal/', '/graphql/', '/health/', '/metrics/'] # 100字符长度的标题 titles = [ 'Enterprise API Gateway - RESTful Service Documentation with OpenAPI 3.0 Specification and Interactive', 'User Authentication Service - OAuth 2.0 and SAML 2.0 Single Sign-On Integration Platform Dashboard', 'Payment Processing Gateway - PCI-DSS Compliant Transaction Management System Administration Panel', 'Content Delivery Network - Global Edge Cache Management and Real-time Analytics Dashboard Interface', 'Database Administration Console - PostgreSQL Cluster Management with Automated Backup and Recovery', ] # 扩展的技术栈列表 all_techs = [ 'React 18.2.0', 'Vue.js 3.4', 'Angular 17.1', 'Next.js 14.0', 'Node.js 20.10', 'Express 4.18', 'Python 3.12', 'Django 5.0', 'FastAPI 0.109', 'Go 1.21', 'PostgreSQL 16.1', 'MySQL 8.2', 'MongoDB 7.0', 'Redis 7.2', 'Elasticsearch 8.11', 'Kubernetes 1.28', 'Docker 24.0', 'Nginx 1.25', 'GraphQL 16.8', 'JWT', ] # 扩展的 tags all_tags = [ 'debug', 'config', 'api', 'json', 'upload', 'file', 'admin', 'auth', 'secrets', 'credentials', 'backup', 'archive', 'trace', 'log', 'error', 'security', 'vulnerability', 'payment', 'user', 'internal', 'private', ] cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL") domain_targets = cur.fetchall() count = 0 batch_data = [] batch_size = 50000 # 增加批量大小 target_count = 200000 per_target = target_count // len(domain_targets) + 1 for target_id, target_name in domain_targets: for i in range(per_target): if count >= target_count: break # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'million-endpoint/{i:06d}') # 生成 100 字符的标题 title = random.choice(titles) # 生成 10-20 个技术 num_techs = random.randint(10, 20) tech_list = random.sample(all_techs, min(num_techs, len(all_techs))) # 生成 10-20 个 tags num_tags = random.randint(10, 20) tags = random.sample(all_tags, min(num_tags, len(all_tags))) batch_data.append(( url, target_id, target_name, title, 'nginx/1.24.0', random.choice([200, 201, 401, 403]), random.randint(100, 5000), 'application/json', tech_list, '', '{"status":"ok"}', None, tags )) count += 1 if len(batch_data) >= batch_size: execute_values(cur, """ INSERT INTO endpoint (url, target_id, host, title, webserver, status_code, content_length, content_type, tech, location, response_body, vhost, matched_gf_patterns, response_headers, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, '', NOW())") self.conn.commit() batch_data = [] print(f" ✓ {count:,} / {target_count:,}") if count >= target_count: break if batch_data: execute_values(cur, """ INSERT INTO endpoint (url, target_id, host, title, webserver, status_code, content_length, content_type, tech, location, response_body, vhost, matched_gf_patterns, response_headers, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, '', NOW())") self.conn.commit() print(f" ✓ 创建了 {count:,} 个端点\n") def create_host_port_mappings(self, target_ids: list): """创建 200,000 个主机端口映射(用于 IP 统计)""" print("🔌 创建主机端口映射 (200,000 个)...") cur = self.conn.cursor() ports = [22, 80, 443, 3306, 5432, 6379, 8080, 8443, 9000, 9200, 27017] cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL") domain_targets = cur.fetchall() count = 0 batch_data = [] batch_size = 50000 # 增加批量大小 target_count = 200000 per_target = target_count // len(domain_targets) + 1 for target_id, target_name in domain_targets: for i in range(per_target): if count >= target_count: break ip = f'192.168.{random.randint(1, 254)}.{random.randint(1, 254)}' port = random.choice(ports) batch_data.append((target_id, target_name, ip, port)) count += 1 if len(batch_data) >= batch_size: execute_values(cur, """ INSERT INTO host_port_mapping (target_id, host, ip, port, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, NOW())") self.conn.commit() batch_data = [] print(f" ✓ {count:,} / {target_count:,}") if count >= target_count: break if batch_data: execute_values(cur, """ INSERT INTO host_port_mapping (target_id, host, ip, port, created_at) VALUES %s ON CONFLICT DO NOTHING """, batch_data, template="(%s, %s, %s, %s, NOW())") self.conn.commit() print(f" ✓ 创建了 {count:,} 个主机端口映射\n") def create_vulnerabilities(self, target_ids: list): """创建 200,000 个漏洞 (critical: 50k, high: 50k, medium: 50k, low: 30k, info: 20k)""" print("🐛 创建漏洞 (200,000 个)...") cur = self.conn.cursor() vuln_types = [ 'sql-injection-authentication-bypass-vulnerability-', 'cross-site-scripting-xss-stored-persistent-attack-', 'server-side-request-forgery-ssrf-internal-access--', 'remote-code-execution-rce-command-injection-flaw--', 'local-file-inclusion-lfi-path-traversal-exploit---', 'xml-external-entity-xxe-injection-vulnerability---', 'cross-site-request-forgery-csrf-token-validation--', 'insecure-direct-object-reference-idor-access-ctrl-', ] sources = [ 'nuclei-vulnerability-scanner--', 'dalfox-xss-parameter-analysis-', 'sqlmap-sql-injection-testing--', 'burp-suite-professional-scan--', 'owasp-zap-security-scanner----', ] # 按严重程度分配数量 severity_counts = { 'critical': 50000, 'high': 50000, 'medium': 50000, 'low': 30000, 'info': 20000, } cur.execute("SELECT id, name FROM target WHERE type = 'domain' AND deleted_at IS NULL") domain_targets = cur.fetchall() count = 0 batch_data = [] batch_size = 50000 # 增加批量大小 for severity, target_count in severity_counts.items(): print(f" 创建 {severity} 级别漏洞: {target_count:,} 个") cvss_ranges = { 'critical': (9.0, 10.0), 'high': (7.0, 8.9), 'medium': (4.0, 6.9), 'low': (0.1, 3.9), 'info': (0.0, 0.0) } cvss_range = cvss_ranges.get(severity, (0.0, 10.0)) severity_count = 0 per_target = target_count // len(domain_targets) + 1 for target_id, target_name in domain_targets: for i in range(per_target): if severity_count >= target_count: break cvss_score = round(random.uniform(*cvss_range), 1) # 生成固定 245 长度的 URL url = generate_fixed_length_url(target_name, length=245, path_hint=f'million-vuln/{severity_count:06d}') # 生成固定 300 长度的描述 description = generate_fixed_length_text(length=300, text_type='description') batch_data.append(( target_id, url, random.choice(vuln_types), severity, random.choice(sources), cvss_score, description, json.dumps({'template': f'CVE-2024-{random.randint(10000, 99999)}'}) )) severity_count += 1 count += 1 if len(batch_data) >= batch_size: execute_values(cur, """ INSERT INTO vulnerability (target_id, url, vuln_type, severity, source, cvss_score, description, raw_output, created_at) VALUES %s """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, NOW())") self.conn.commit() batch_data = [] print(f" ✓ {severity_count:,} / {target_count:,}") if severity_count >= target_count: break if batch_data: execute_values(cur, """ INSERT INTO vulnerability (target_id, url, vuln_type, severity, source, cvss_score, description, raw_output, created_at) VALUES %s """, batch_data, template="(%s, %s, %s, %s, %s, %s, %s, %s, NOW())") self.conn.commit() print(f" ✓ 创建了 {count:,} 个漏洞\n") def create_statistics_history(self): """创建 7 天的统计历史数据(用于趋势图)""" print("📈 创建统计历史数据 (7 天)...") cur = self.conn.cursor() # 先清除旧的历史数据 cur.execute("DELETE FROM statistics_history") # 生成 7 天的历史数据，数值逐渐增长 base_values = { 'total_targets': 800, 'total_subdomains': 150000, 'total_ips': 150000, 'total_endpoints': 150000, 'total_websites': 150000, 'total_vulns': 150000, } for i in range(7): date = datetime.now().date() - timedelta(days=6-i) growth_factor = 1 + (i * 0.05) # 每天增长 5% total_targets = int(base_values['total_targets'] * growth_factor) total_subdomains = int(base_values['total_subdomains'] * growth_factor) total_ips = int(base_values['total_ips'] * growth_factor) total_endpoints = int(base_values['total_endpoints'] * growth_factor) total_websites = int(base_values['total_websites'] * growth_factor) total_vulns = int(base_values['total_vulns'] * growth_factor) total_assets = total_subdomains + total_ips + total_endpoints + total_websites cur.execute(""" INSERT INTO statistics_history ( date, total_targets, total_subdomains, total_ips, total_endpoints, total_websites, total_vulns, total_assets, created_at, updated_at ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, NOW(), NOW()) ON CONFLICT (date) DO UPDATE SET total_targets = EXCLUDED.total_targets, total_subdomains = EXCLUDED.total_subdomains, total_ips = EXCLUDED.total_ips, total_endpoints = EXCLUDED.total_endpoints, total_websites = EXCLUDED.total_websites, total_vulns = EXCLUDED.total_vulns, total_assets = EXCLUDED.total_assets, updated_at = NOW() """, (date, total_targets, total_subdomains, total_ips, total_endpoints, total_websites, total_vulns, total_assets)) print(f" ✓ 创建了 7 天的统计历史数据\n") def update_asset_statistics(self): """更新资产统计表(Dashboard 卡片使用)""" print("📊 更新资产统计表...") cur = self.conn.cursor() # 统计实际数据 cur.execute("SELECT COUNT(*) FROM target WHERE deleted_at IS NULL") total_targets = cur.fetchone()[0] cur.execute("SELECT COUNT(*) FROM subdomain") total_subdomains = cur.fetchone()[0] cur.execute("SELECT COUNT(DISTINCT ip) FROM host_port_mapping") total_ips = cur.fetchone()[0] cur.execute("SELECT COUNT(*) FROM endpoint") total_endpoints = cur.fetchone()[0] cur.execute("SELECT COUNT(*) FROM website") total_websites = cur.fetchone()[0] cur.execute("SELECT COUNT(*) FROM vulnerability") total_vulns = cur.fetchone()[0] total_assets = total_subdomains + total_ips + total_endpoints + total_websites # 更新或插入统计数据 cur.execute(""" INSERT INTO asset_statistics ( id, total_targets, total_subdomains, total_ips, total_endpoints, total_websites, total_vulns, total_assets, prev_targets, prev_subdomains, prev_ips, prev_endpoints, prev_websites, prev_vulns, prev_assets, updated_at ) VALUES ( 1, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW() ) ON CONFLICT (id) DO UPDATE SET total_targets = EXCLUDED.total_targets, total_subdomains = EXCLUDED.total_subdomains, total_ips = EXCLUDED.total_ips, total_endpoints = EXCLUDED.total_endpoints, total_websites = EXCLUDED.total_websites, total_vulns = EXCLUDED.total_vulns, total_assets = EXCLUDED.total_assets, prev_targets = asset_statistics.total_targets, prev_subdomains = asset_statistics.total_subdomains, prev_ips = asset_statistics.total_ips, prev_endpoints = asset_statistics.total_endpoints, prev_websites = asset_statistics.total_websites, prev_vulns = asset_statistics.total_vulns, prev_assets = asset_statistics.total_assets, updated_at = NOW() """, (total_targets, total_subdomains, total_ips, total_endpoints, total_websites, total_vulns, total_assets, int(total_targets * 0.9), int(total_subdomains * 0.9), int(total_ips * 0.9), int(total_endpoints * 0.9), int(total_websites * 0.9), int(total_vulns * 0.9), int(total_assets * 0.9))) print(f" ✓ 统计数据已更新:") print(f" - 目标: {total_targets:,}") print(f" - 子域名: {total_subdomains:,}") print(f" - IP: {total_ips:,}") print(f" - 端点: {total_endpoints:,}") print(f" - 网站: {total_websites:,}") print(f" - 漏洞: {total_vulns:,}") print(f" - 总资产: {total_assets:,}\n") def main(): parser = argparse.ArgumentParser(description="直接通过 SQL 生成测试数据") parser.add_argument('--clear', action='store_true', help='清除现有数据后重新生成') parser.add_argument('--million', action='store_true', help='生成百万级数据(用于 Dashboard 溢出测试)') args = parser.parse_args() if args.million: generator = MillionDataGenerator(clear=args.clear) else: generator = TestDataGenerator(clear=args.clear) generator.run() if __name__ == "__main__": main() ================================================ FILE: backend/scripts/performance/monitor_pg_performance.sh ================================================ #!/bin/bash # PostgreSQL 性能监控脚本 # 用法：./monitor_pg_performance.sh [数据库名] [间隔秒数] # 尝试从 .env 加载数据库配置 SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" PROJECT_DIR="$(dirname "$SCRIPT_DIR")" if [ -f "$PROJECT_DIR/.env" ]; then export PGHOST=$(grep "^DB_HOST=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGPORT=$(grep "^DB_PORT=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGUSER=$(grep "^DB_USER=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGPASSWORD=$(grep "^DB_PASSWORD=" "$PROJECT_DIR/.env" | cut -d '=' -f2) PGDATABASE=$(grep "^DB_NAME=" "$PROJECT_DIR/.env" | cut -d '=' -f2) fi DB_NAME=${1:-${PGDATABASE:-xingrin}} INTERVAL=${2:-2} echo "========================================" echo " PostgreSQL 性能监控" echo "========================================" echo "数据库: $DB_NAME" echo "刷新间隔: ${INTERVAL}秒" echo "按 Ctrl+C 停止监控" echo "========================================" echo "" # 颜色定义 RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' BLUE='\033[0;34m' NC='\033[0m' # No Color while true; do clear echo -e "${BLUE}========================================" echo " PostgreSQL 实时性能监控" echo "========================================${NC}" echo "时间: $(date '+%Y-%m-%d %H:%M:%S')" echo "" # 1. 数据库连接数 echo -e "${GREEN}[1] 连接数统计${NC}" psql -d $DB_NAME -c " SELECT count(*) as total_connections, count(*) FILTER (WHERE state = 'active') as active, count(*) FILTER (WHERE state = 'idle') as idle, count(*) FILTER (WHERE state = 'idle in transaction') as idle_in_transaction FROM pg_stat_activity WHERE datname = '$DB_NAME'; " -t # 2. 当前活跃查询 echo -e "${GREEN}[2] 活跃查询 (Top 5)${NC}" psql -d $DB_NAME -c " SELECT pid, usename, application_name, state, EXTRACT(EPOCH FROM (now() - query_start))::int as duration_sec, LEFT(query, 60) as query_preview FROM pg_stat_activity WHERE datname = '$DB_NAME' AND state != 'idle' AND query NOT LIKE '%pg_stat_activity%' ORDER BY query_start LIMIT 5; " # 3. 表级统计（插入速度） echo -e "${GREEN}[3] 表插入统计${NC}" psql -d $DB_NAME -c " SELECT schemaname || '.' || relname as table_name, n_tup_ins as inserts, n_tup_upd as updates, n_tup_del as deletes, n_live_tup as live_rows FROM pg_stat_user_tables WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory') ORDER BY n_tup_ins DESC; " # 4. 锁等待 echo -e "${GREEN}[4] 锁等待情况${NC}" psql -d $DB_NAME -c " SELECT COUNT(*) as waiting_queries FROM pg_stat_activity WHERE wait_event_type = 'Lock' AND datname = '$DB_NAME'; " -t # 5. 数据库大小 echo -e "${GREEN}[5] 数据库大小${NC}" psql -d $DB_NAME -c " SELECT pg_size_pretty(pg_database_size('$DB_NAME')) as database_size; " -t # 6. 缓存命中率 echo -e "${GREEN}[6] 缓存命中率${NC}" psql -d $DB_NAME -c " SELECT sum(heap_blks_hit) / nullif(sum(heap_blks_hit) + sum(heap_blks_read), 0) * 100 as cache_hit_ratio FROM pg_statio_user_tables; " -t # 7. IO 统计 echo -e "${GREEN}[7] 磁盘 IO 统计${NC}" psql -d $DB_NAME -c " SELECT sum(heap_blks_read) as blocks_read, sum(heap_blks_hit) as blocks_hit, sum(idx_blks_read) as idx_blocks_read, sum(idx_blks_hit) as idx_blocks_hit FROM pg_statio_user_tables; " -t # 8. 长时间运行的事务 echo -e "${YELLOW}[8] 长时间运行事务 (>30秒)${NC}" psql -d $DB_NAME -c " SELECT pid, usename, EXTRACT(EPOCH FROM (now() - xact_start))::int as transaction_duration_sec, state, LEFT(query, 50) as query_preview FROM pg_stat_activity WHERE datname = '$DB_NAME' AND state != 'idle' AND xact_start IS NOT NULL AND EXTRACT(EPOCH FROM (now() - xact_start)) > 30 ORDER BY xact_start; " echo "" echo -e "${BLUE}下次刷新: ${INTERVAL}秒后...${NC}" sleep $INTERVAL done ================================================ FILE: backend/scripts/performance/pg_stats_after_test.sql ================================================ -- 测试后记录对比数据 -- 用法：psql -d xingrin -f pg_stats_after_test.sql > stats_after.txt \echo '========================================' \echo ' PostgreSQL 测试后统计数据' \echo '========================================' \echo '' \echo '当前时间:' SELECT now(); \echo '' \echo '表记录数（测试后）:' SELECT schemaname || '.' || relname as table_name, n_live_tup as row_count, n_dead_tup as dead_rows, pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) as total_size, last_vacuum, last_autovacuum, last_analyze, last_autoanalyze FROM pg_stat_user_tables WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory', 'scan') ORDER BY n_live_tup DESC; \echo '' \echo '表膨胀检查:' SELECT schemaname || '.' || relname as table_name, pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) as total_size, n_live_tup as live_rows, n_dead_tup as dead_rows, CASE WHEN n_live_tup = 0 THEN 0 ELSE round((n_dead_tup::numeric / n_live_tup) * 100, 2) END as dead_ratio_percent FROM pg_stat_user_tables WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory') ORDER BY n_dead_tup DESC; \echo '' \echo '索引使用情况:' SELECT schemaname || '.' || relname as table_name, indexname, idx_scan as index_scans, idx_tup_read as rows_read, idx_tup_fetch as rows_fetched, pg_size_pretty(pg_relation_size(indexname::regclass)) as index_size FROM pg_stat_user_indexes WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory') ORDER BY idx_scan DESC; \echo '' \echo '表统计增量（本次测试产生）:' SELECT schemaname || '.' || relname as table_name, n_tup_ins as total_inserts, n_tup_upd as total_updates, n_tup_del as total_deletes, n_tup_hot_upd as hot_updates FROM pg_stat_user_tables WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory') ORDER BY n_tup_ins DESC; \echo '' \echo '缓存命中率（测试后）:' SELECT sum(heap_blks_hit) as heap_blocks_hit, sum(heap_blks_read) as heap_blocks_read, CASE WHEN sum(heap_blks_hit) + sum(heap_blks_read) = 0 THEN 0 ELSE round((sum(heap_blks_hit)::numeric / (sum(heap_blks_hit) + sum(heap_blks_read))) * 100, 2) END as cache_hit_ratio_percent FROM pg_statio_user_tables WHERE schemaname = 'public'; \echo '' \echo 'IO 统计:' SELECT sum(heap_blks_read) as heap_blocks_read_from_disk, sum(heap_blks_hit) as heap_blocks_hit_in_cache, sum(idx_blks_read) as index_blocks_read_from_disk, sum(idx_blks_hit) as index_blocks_hit_in_cache FROM pg_statio_user_tables WHERE schemaname = 'public'; \echo '' \echo '长时间运行查询:' SELECT pid, usename, application_name, state, EXTRACT(EPOCH FROM (now() - query_start))::int as duration_seconds, query FROM pg_stat_activity WHERE datname = current_database() AND state != 'idle' AND query NOT LIKE '%pg_stat_activity%' ORDER BY query_start; \echo '' \echo '数据库总大小:' SELECT pg_size_pretty(pg_database_size(current_database())) as database_size; \echo '' \echo '========================================' ================================================ FILE: backend/scripts/performance/pg_stats_before_test.sql ================================================ -- 测试前记录基准数据 -- 用法：psql -d xingrin -f pg_stats_before_test.sql > stats_before.txt \echo '========================================' \echo ' PostgreSQL 测试前基准数据' \echo '========================================' \echo '' \echo '当前时间:' SELECT now(); \echo '' \echo '数据库连接配置:' SHOW max_connections; SHOW shared_buffers; SHOW work_mem; SHOW maintenance_work_mem; \echo '' \echo '表记录数（测试前）:' SELECT schemaname || '.' || relname as table_name, n_live_tup as row_count, pg_size_pretty(pg_total_relation_size(schemaname||'.'||relname)) as total_size FROM pg_stat_user_tables WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory', 'scan') ORDER BY n_live_tup DESC; \echo '' \echo '索引信息:' SELECT schemaname || '.' || tablename as table_name, indexname, pg_size_pretty(pg_relation_size(indexname::regclass)) as index_size FROM pg_indexes WHERE schemaname = 'public' AND tablename IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory') ORDER BY tablename, indexname; \echo '' \echo '当前活跃连接数:' SELECT count(*) as total, count(*) FILTER (WHERE state = 'active') as active, count(*) FILTER (WHERE state = 'idle') as idle FROM pg_stat_activity WHERE datname = current_database(); \echo '' \echo '表统计信息（累计）:' SELECT schemaname || '.' || relname as table_name, seq_scan as sequential_scans, seq_tup_read as seq_rows_read, idx_scan as index_scans, idx_tup_fetch as idx_rows_fetched, n_tup_ins as inserts, n_tup_upd as updates, n_tup_del as deletes FROM pg_stat_user_tables WHERE schemaname = 'public' AND relname IN ('subdomain', 'ip_address', 'port', 'website', 'endpoint', 'directory') ORDER BY relname; \echo '' \echo '缓存命中率:' SELECT sum(heap_blks_hit) as heap_blocks_hit, sum(heap_blks_read) as heap_blocks_read, CASE WHEN sum(heap_blks_hit) + sum(heap_blks_read) = 0 THEN 0 ELSE round((sum(heap_blks_hit)::numeric / (sum(heap_blks_hit) + sum(heap_blks_read))) * 100, 2) END as cache_hit_ratio_percent FROM pg_statio_user_tables WHERE schemaname = 'public'; \echo '' \echo '========================================' ================================================ FILE: backend/scripts/performance/start_performance_test.sh ================================================ #!/bin/bash # 性能测试快速启动脚本 # 用法：./start_performance_test.sh set -e SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" PROJECT_DIR="$(dirname "$(dirname "$SCRIPT_DIR")")" echo "========================================" echo " PostgreSQL 性能测试工具" echo "========================================" echo "" # 加载 .env 文件中的数据库配置 if [ -f "$PROJECT_DIR/.env" ]; then echo "加载数据库配置..." export PGHOST=$(grep "^DB_HOST=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGPORT=$(grep "^DB_PORT=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGUSER=$(grep "^DB_USER=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGPASSWORD=$(grep "^DB_PASSWORD=" "$PROJECT_DIR/.env" | cut -d '=' -f2) export PGDATABASE=$(grep "^DB_NAME=" "$PROJECT_DIR/.env" | cut -d '=' -f2) echo " 主机: $PGHOST:$PGPORT" echo " 用户: $PGUSER" echo " 数据库: $PGDATABASE" else echo "[WARN] 未找到 .env 文件" fi echo "" # 检查 PostgreSQL 连接 echo "检查数据库连接..." cd "$PROJECT_DIR" if ! source "$PROJECT_DIR/../.venv/bin/activate" && python -c " import os import django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') django.setup() from django.db import connection try: with connection.cursor() as cursor: cursor.execute('SELECT 1') print('✓ 数据库连接正常') except Exception as e: print(f'[ERROR] 数据库连接失败: {e}') exit(1) " > /dev/null 2>&1; then echo "[ERROR] 无法连接到数据库 $PGDATABASE" echo "" echo "请检查：" echo " 1. VPS 防火墙是否开放 5432 端口" echo " 2. PostgreSQL 的 pg_hba.conf 是否允许远程连接" echo " 3. .env 文件中的数据库配置是否正确" echo " 4. Django 设置是否正确" echo "" echo "手动测试连接：" echo " cd $PROJECT_DIR && source $PROJECT_DIR/../.venv/bin/activate && python manage.py dbshell" exit 1 fi echo "✓ 数据库连接正常" echo "" # 菜单选择 echo "请选择操作：" echo " 1) 测试批次大小（推荐先执行）" echo " 2) 生成 1 万条测试数据" echo " 3) 生成 10 万条测试数据" echo " 4) 生成 100 万条测试数据" echo " 5) 启动实时监控（独立运行）" echo " 6) 查看测试前基准数据" echo " 7) 查看测试后统计数据" echo " 8) 完整测试流程（自动化）" echo " 0) 退出" echo "" read -p "请输入选项 (0-8): " choice case $choice in 1) echo "" echo "开始测试批次大小..." cd "$PROJECT_DIR" source "$PROJECT_DIR/../.venv/bin/activate" # 自动创建测试目标 echo "创建测试目标..." python -c " import os import django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') django.setup() from apps.targets.models import Target, Organization # 创建默认组织 org, _ = Organization.objects.get_or_create( name='测试组织', defaults={'description': '性能测试专用组织'} ) # 创建测试目标 for i in range(1, 4): target_name = f'test{i}.com' target, created = Target.objects.get_or_create( name=target_name ) if created: # 将目标添加到组织 org.targets.add(target) print(f'✓ 创建目标: {target_name}') else: print(f'✓ 目标已存在: {target_name}') " echo "" python manage.py generate_test_data --target test1.com --count 10000 --test-batch-sizes ;; 2) echo "" echo "使用默认批次大小: 5000" echo "开始生成 1 万条数据..." cd "$PROJECT_DIR" source "$PROJECT_DIR/../.venv/bin/activate" # 自动创建测试目标 echo "创建测试目标..." python -c " import os import django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') django.setup() from apps.targets.models import Target, Organization # 创建默认组织 org, _ = Organization.objects.get_or_create( name='测试组织', defaults={'description': '性能测试专用组织'} ) # 创建测试目标 for i in range(1, 4): target_name = f'test{i}.com' target, created = Target.objects.get_or_create( name=target_name ) if created: # 将目标添加到组织 org.targets.add(target) print(f'✓ 创建目标: {target_name}') else: print(f'✓ 目标已存在: {target_name}') " echo "" python manage.py generate_test_data \ --target test1.com \ --count 10000 \ --batch-size 5000 \ --benchmark ;; 3) echo "" echo "使用默认批次大小: 5000" echo "开始生成 10 万条数据..." cd "$PROJECT_DIR" source "$PROJECT_DIR/../.venv/bin/activate" # 自动创建测试目标 echo "创建测试目标..." python -c " import os import django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') django.setup() from apps.targets.models import Target, Organization # 创建默认组织 org, _ = Organization.objects.get_or_create( name='测试组织', defaults={'description': '性能测试专用组织'} ) # 创建测试目标 for i in range(1, 4): target_name = f'test{i}.com' target, created = Target.objects.get_or_create( name=target_name ) if created: # 将目标添加到组织 org.targets.add(target) print(f'✓ 创建目标: {target_name}') else: print(f'✓ 目标已存在: {target_name}') " echo "" python manage.py generate_test_data \ --target test2.com \ --count 100000 \ --batch-size 5000 \ --benchmark ;; 4) echo "" echo "使用默认批次大小: 5000" echo "[WARN] 警告：这将生成 100 万条数据，可能需要 2-4 小时" read -p "确认继续? (y/N): " confirm if [[ $confirm == [yY] ]]; then echo "" echo "开始生成 100 万条数据..." cd "$PROJECT_DIR" source "$PROJECT_DIR/../.venv/bin/activate" # 自动创建测试目标 echo "创建测试目标..." python -c " import os import django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') django.setup() from apps.targets.models import Target, Organization # 创建默认组织 org, _ = Organization.objects.get_or_create( name='测试组织', defaults={'description': '性能测试专用组织'} ) # 创建测试目标 for i in range(1, 4): target_name = f'test{i}.com' target, created = Target.objects.get_or_create( name=target_name ) if created: # 将目标添加到组织 org.targets.add(target) print(f'✓ 创建目标: {target_name}') else: print(f'✓ 目标已存在: {target_name}') " echo "" python manage.py generate_test_data \ --target test3.com \ --count 1000000 \ --batch-size 5000 \ --benchmark fi ;; 5) echo "" read -p "刷新间隔（秒，推荐 2-5）: " interval interval=${interval:-2} echo "" echo "启动 PostgreSQL 实时监控..." echo "按 Ctrl+C 停止监控" sleep 2 "$SCRIPT_DIR/monitor_pg_performance.sh" xingrin "$interval" ;; 6) echo "" echo "记录测试前基准数据..." mkdir -p "$PROJECT_DIR/logs" psql -d "$PGDATABASE" -f "$SCRIPT_DIR/pg_stats_before_test.sql" > "$PROJECT_DIR/logs/stats_before.txt" echo "✓ 已保存到: $PROJECT_DIR/logs/stats_before.txt" echo "" read -p "是否查看内容? (y/N): " view if [[ $view == [yY] ]]; then less "$PROJECT_DIR/logs/stats_before.txt" fi ;; 7) echo "" echo "记录测试后统计数据..." mkdir -p "$PROJECT_DIR/logs" psql -d "$PGDATABASE" -f "$SCRIPT_DIR/pg_stats_after_test.sql" > "$PROJECT_DIR/logs/stats_after.txt" echo "✓ 已保存到: $PROJECT_DIR/logs/stats_after.txt" echo "" read -p "是否对比测试前后? (y/N): " compare if [[ $compare == [yY] ]] && [ -f "$PROJECT_DIR/logs/stats_before.txt" ]; then echo "" echo "差异对比:" diff "$PROJECT_DIR/logs/stats_before.txt" "$PROJECT_DIR/logs/stats_after.txt" || true fi ;; 8) echo "" echo "========================================" echo " 完整自动化测试流程" echo "========================================" echo "" echo "步骤 1：创建测试目标" cd "$PROJECT_DIR" source "$PROJECT_DIR/../.venv/bin/activate" python -c " import os import django os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings') django.setup() from apps.targets.models import Target, Organization # 创建默认组织 org, _ = Organization.objects.get_or_create( name='测试组织', defaults={'description': '性能测试专用组织'} ) # 创建测试目标 for i in range(1, 4): target_name = f'test{i}.com' target, created = Target.objects.get_or_create( name=target_name ) if created: # 将目标添加到组织 org.targets.add(target) print(f'✓ 创建目标: {target_name}') else: print(f'✓ 目标已存在: {target_name}') " echo "✓ 完成" echo "" echo "步骤 2：记录测试前基准数据" mkdir -p "$PROJECT_DIR/logs" psql -d "$PGDATABASE" -f "$SCRIPT_DIR/pg_stats_before_test.sql" > "$PROJECT_DIR/logs/stats_before.txt" 2>&1 echo "✓ 完成" echo "" echo "步骤 3：测试批次大小" python manage.py generate_test_data --target test1.com --count 10000 --test-batch-sizes | tee "$PROJECT_DIR/logs/batch_size_test.txt" echo "" # 自动提取最优批次大小，如果没有找到则使用默认值5000 optimal_batch=$(grep "推荐批次大小:" "$PROJECT_DIR/logs/batch_size_test.txt" | awk '{print $2}' || echo "5000") optimal_batch=${optimal_batch:-5000} echo "✓ 自动选择最优批次: $optimal_batch" echo "" echo "步骤 4：生成 10 万条数据" python manage.py generate_test_data \ --target test3.com \ --count 100000 \ --batch-size "$optimal_batch" \ --benchmark | tee "$PROJECT_DIR/logs/test_results.txt" echo "" echo "步骤 5：记录测试后统计" psql -d "$PGDATABASE" -f "$SCRIPT_DIR/pg_stats_after_test.sql" > "$PROJECT_DIR/logs/stats_after.txt" 2>&1 echo "✓ 完成" echo "" # 生成性能报告 echo "步骤 6：生成性能报告" report_file="$PROJECT_DIR/logs/performance_report.txt" echo "========================================" > "$report_file" echo " XingRin 性能测试报告" >> "$report_file" echo "========================================" >> "$report_file" echo "" >> "$report_file" echo "测试时间: $(date '+%Y-%m-%d %H:%M:%S')" >> "$report_file" echo "数据库: $PGHOST:$PGPORT/$PGDATABASE" >> "$report_file" echo "最优批次: $optimal_batch" >> "$report_file" echo "" >> "$report_file" # 提取批次测试结果 echo "========================================" >> "$report_file" echo " 批次大小性能对比" >> "$report_file" echo "========================================" >> "$report_file" grep -A 10 "批次大小对比结果" "$PROJECT_DIR/logs/batch_size_test.txt" | tail -n +4 >> "$report_file" echo "" >> "$report_file" # 提取详细测试结果 echo "========================================" >> "$report_file" echo " 10万条数据生成性能" >> "$report_file" echo "========================================" >> "$report_file" grep "性能测试报告" -A 20 "$PROJECT_DIR/logs/test_results.txt" | tail -n +3 >> "$report_file" echo "" >> "$report_file" # 提取总耗时 total_time=$(grep "总耗时:" "$PROJECT_DIR/logs/test_results.txt" | head -1) echo "========================================" >> "$report_file" echo " 总体性能" >> "$report_file" echo "========================================" >> "$report_file" echo "$total_time" >> "$report_file" echo "" >> "$report_file" echo "========================================" >> "$report_file" echo " 测试文件" >> "$report_file" echo "========================================" >> "$report_file" echo "- 测试前基准: logs/stats_before.txt" >> "$report_file" echo "- 批次测试: logs/batch_size_test.txt" >> "$report_file" echo "- 性能结果: logs/test_results.txt" >> "$report_file" echo "- 测试后统计: logs/stats_after.txt" >> "$report_file" echo "- 性能报告: logs/performance_report.txt" >> "$report_file" echo "" >> "$report_file" echo "✓ 性能报告已生成" echo "" echo "========================================" echo " ✓ 自动化测试完成！" echo "========================================" echo "" # 显示性能报告 cat "$report_file" echo "" echo "详细报告已保存到: $report_file" echo "" ;; 0) echo "退出" exit 0 ;; *) echo "无效选项" exit 1 ;; esac echo "" echo "完成！" ================================================ FILE: backend/scripts/worker-deploy/agent.sh ================================================ #!/bin/bash # ============================================ # XingRin Agent # 用途：心跳上报 + 负载监控 + 版本检查 # 适用：远程 VPS 或 Docker 容器内 # ============================================ # 检查是否禁用 Agent if [ "${AGENT_DISABLED:-false}" = "true" ]; then echo "[AGENT] 已禁用，跳过启动" exit 0 fi # 配置 MARKER_DIR="/opt/xingrin" SRC_DIR="${MARKER_DIR}/src" ENV_FILE="${SRC_DIR}/backend/.env" INTERVAL=${AGENT_INTERVAL:-3} # Agent 版本（从环境变量获取，由 Docker 镜像构建时注入） AGENT_VERSION="${IMAGE_TAG:-unknown}" # 颜色定义 GREEN='\033[0;32m' RED='\033[0;31m' YELLOW='\033[0;33m' NC='\033[0m' log() { echo -e "[$(date +'%Y-%m-%d %H:%M:%S')] [AGENT] $1" } # 检测运行模式：容器内 or 远程 VPS # 如果 /.dockerenv 存在，说明在容器内 if [ -f "/.dockerenv" ]; then RUN_MODE="container" log "运行模式: Docker 容器内" else RUN_MODE="remote" log "运行模式: 远程 VPS" # 远程模式：检测 Docker 命令 if docker info >/dev/null 2>&1; then DOCKER_CMD="docker" else DOCKER_CMD="sudo docker" fi fi # 加载环境变量（远程模式从文件，容器模式从环境变量） if [ "$RUN_MODE" = "remote" ] && [ -f "$ENV_FILE" ]; then set -a source "$ENV_FILE" set +a fi # 获取配置 # SERVER_URL: 后端 API 地址（容器内用 http://server:8888，远程用 https://{PUBLIC_HOST}） API_URL="${HEARTBEAT_API_URL:-${SERVER_URL:-}}" WORKER_NAME="${WORKER_NAME:-}" IS_LOCAL="${IS_LOCAL:-false}" # 容器模式默认标记为本地节点 if [ "$RUN_MODE" = "container" ]; then IS_LOCAL="true" fi log "${GREEN}Agent 启动...${NC}" log "心跳间隔: ${INTERVAL}s" if [ -z "$API_URL" ]; then log "${RED}错误: 未配置 API 地址 (HEARTBEAT_API_URL 或 SERVER_URL)${NC}" exit 1 fi log "API 地址: ${API_URL}" # ============================================ # 自注册功能（如果 WORKER_ID 未设置） # ============================================ register_worker() { if [ -z "$WORKER_NAME" ]; then WORKER_NAME="Worker-$(hostname)" fi log "注册 Worker: ${WORKER_NAME}..." REGISTER_DATA=$(cat </dev/null) if [ $? -eq 0 ]; then # 解析返回的 workerId（API 使用 camelCase） WORKER_ID=$(echo "$RESPONSE" | grep -oE '"workerId":\s*[0-9]+' | grep -oE '[0-9]+') if [ -n "$WORKER_ID" ]; then log "${GREEN}注册成功: ${WORKER_NAME} (ID: ${WORKER_ID})${NC}" return 0 fi fi log "${RED}注册失败: ${RESPONSE}${NC}" return 1 } # 如果没有 WORKER_ID，执行自注册 if [ -z "$WORKER_ID" ]; then # 等待 Server 就绪 log "等待 Server 就绪..." for i in $(seq 1 30); do if curl -k -s -H "X-Worker-API-Key: ${WORKER_API_KEY}" "${API_URL}/api/workers/config/?is_local=${IS_LOCAL}" > /dev/null 2>&1; then log "${GREEN}Server 已就绪${NC}" break fi log "Server 未就绪，等待... ($i/30)" sleep 5 done # 注册 while ! register_worker; do log "${YELLOW}注册失败，5 秒后重试...${NC}" sleep 5 done fi log "Worker ID: ${WORKER_ID}" # ============================================ # 心跳循环 # Agent 独立运行，始终发送心跳 # 主服务器根据心跳数据选择负载最低的节点分发任务 # ============================================ while true; do # 收集系统负载（CPU + 内存） # 容器内使用挂载的 /host/proc 获取宿主机数据 if [ -d "/host/proc" ]; then PROC_DIR="/host/proc" else PROC_DIR="/proc" fi # CPU 使用率（百分比数值） # /proc/stat 是累计值，需要两次采样计算差值 CPU_STAT1=$(grep 'cpu ' ${PROC_DIR}/stat | awk '{print $2,$3,$4,$5,$6,$7,$8}') sleep 0.5 CPU_STAT2=$(grep 'cpu ' ${PROC_DIR}/stat | awk '{print $2,$3,$4,$5,$6,$7,$8}') CPU_PERCENT=$(echo "$CPU_STAT1 $CPU_STAT2" | awk '{ user1=$1; nice1=$2; sys1=$3; idle1=$4; iowait1=$5; irq1=$6; softirq1=$7; user2=$8; nice2=$9; sys2=$10; idle2=$11; iowait2=$12; irq2=$13; softirq2=$14; total1=user1+nice1+sys1+idle1+iowait1+irq1+softirq1; total2=user2+nice2+sys2+idle2+iowait2+irq2+softirq2; idle_diff=idle2-idle1; total_diff=total2-total1; if(total_diff>0) printf "%.1f", (1-idle_diff/total_diff)*100; else printf "0.0"; }') # 内存使用率（百分比数值） if [ -d "/host/proc" ]; then # 从 /host/proc/meminfo 读取 MEM_TOTAL=$(grep 'MemTotal' ${PROC_DIR}/meminfo | awk '{print $2}') MEM_AVAILABLE=$(grep 'MemAvailable' ${PROC_DIR}/meminfo | awk '{print $2}') MEM_PERCENT=$(awk "BEGIN {printf \"%.1f\", 100 - ($MEM_AVAILABLE / $MEM_TOTAL * 100)}") else # 使用 free 命令 MEM_PERCENT=$(free | grep Mem | awk '{printf "%.1f", $3/$2 * 100}') fi # 构建 JSON 数据（使用数值而非字符串，便于比较和排序） # 包含版本号，供 Server 端检查版本一致性 JSON_DATA=$(cat </dev/null || echo "000") RESPONSE_BODY=$(cat "$RESPONSE_FILE" 2>/dev/null) rm -f "$RESPONSE_FILE" if [ "$HTTP_CODE" != "200" ] && [ "$HTTP_CODE" != "201" ]; then log "${YELLOW}心跳发送失败 (HTTP $HTTP_CODE)${NC}" else # 检查是否需要更新 NEED_UPDATE=$(echo "$RESPONSE_BODY" | grep -oE '"need_update":\s*(true|false)' | grep -oE '(true|false)') if [ "$NEED_UPDATE" = "true" ]; then SERVER_VERSION=$(echo "$RESPONSE_BODY" | grep -oE '"server_version":\s*"[^"]+"' | sed 's/.*"\([^"]*\)"$/\1/') log "${YELLOW}检测到版本不匹配: Agent=$AGENT_VERSION, Server=$SERVER_VERSION${NC}" log "${GREEN}正在自动更新...${NC}" # 执行自动更新 if [ "$RUN_MODE" = "container" ]; then # 容器模式：通知外部重启（退出后由 docker-compose restart policy 重启） log "容器模式：退出以触发重启更新" exit 0 else # 远程模式：拉取新镜像并重启 agent 容器 log "远程模式：更新 agent 镜像..." DOCKER_USER="${DOCKER_USER:-yyhuni}" NEW_IMAGE="${DOCKER_USER}/xingrin-agent:${SERVER_VERSION}" # 拉取新镜像 if $DOCKER_CMD pull "$NEW_IMAGE" 2>/dev/null; then log "${GREEN}镜像拉取成功: $NEW_IMAGE${NC}" # 停止当前容器并用新镜像重启 CONTAINER_NAME="xingrin-agent" $DOCKER_CMD stop "$CONTAINER_NAME" 2>/dev/null || true $DOCKER_CMD rm "$CONTAINER_NAME" 2>/dev/null || true # 重新启动（使用相同的环境变量） $DOCKER_CMD run -d \ --name "$CONTAINER_NAME" \ --restart unless-stopped \ -e HEARTBEAT_API_URL="$API_URL" \ -e WORKER_ID="$WORKER_ID" \ -e IMAGE_TAG="$SERVER_VERSION" \ -v /proc:/host/proc:ro \ "$NEW_IMAGE" log "${GREEN}Agent 已更新到 $SERVER_VERSION${NC}" exit 0 else log "${RED}镜像拉取失败: $NEW_IMAGE${NC}" fi fi fi fi # 休眠 sleep $INTERVAL done ================================================ FILE: backend/scripts/worker-deploy/bootstrap.sh ================================================ #!/bin/bash # ============================================ # XingRin 环境初始化脚本 (通用) # 用途：安装基础依赖（git, tmux, curl 等） # 支持：Ubuntu / Debian # 适用：主机 & Worker VPS # 特点：幂等执行，重复运行不会重复安装 # ============================================ set -e # 版本标记（修改此版本号会触发重新安装） BOOTSTRAP_VERSION="v1" MARKER_DIR="/opt/xingrin" MARKER_FILE="${MARKER_DIR}/.bootstrap_done_${BOOTSTRAP_VERSION}" # 颜色定义 RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[0;33m' BLUE='\033[0;34m' NC='\033[0m' log_info() { echo -e "${BLUE}[XingRin]${NC} $1" } log_success() { echo -e "${GREEN}[XingRin]${NC} $1" } log_warn() { echo -e "${YELLOW}[XingRin]${NC} $1" } log_error() { echo -e "${RED}[XingRin]${NC} $1" } # 等待 apt 锁释放（最多等待 60 秒） wait_for_apt_lock() { local max_wait=60 local waited=0 while sudo fuser /var/lib/apt/lists/lock >/dev/null 2>&1 || \ sudo fuser /var/lib/dpkg/lock >/dev/null 2>&1 || \ sudo fuser /var/lib/dpkg/lock-frontend >/dev/null 2>&1; do if [ $waited -eq 0 ]; then log_info "等待 apt 锁释放..." fi sleep 2 waited=$((waited + 2)) if [ $waited -ge $max_wait ]; then log_warn "等待 apt 锁超时，继续尝试..." break fi done } # 检查是否已完成初始化（返回 0 表示已完成，返回 1 表示需要初始化） check_already_done() { if [ -f "$MARKER_FILE" ]; then log_success "环境已初始化 (${BOOTSTRAP_VERSION})，跳过" return 0 # 不要 exit，让后续脚本继续执行 fi return 1 } # 检查操作系统 check_os() { if ! command -v apt-get &> /dev/null; then log_error "仅支持 Ubuntu/Debian 系统" exit 1 fi log_info "检测到 Ubuntu/Debian 系统" } # 安装基础依赖 install_dependencies() { log_info "安装基础依赖..." # 等待 apt 锁释放 wait_for_apt_lock # 更新包索引 sudo apt-get update -qq 2>/dev/null || true # 安装 git（必须） if ! command -v git &> /dev/null; then log_info " - 安装 git..." sudo apt-get install -y -qq git >/dev/null 2>&1 else log_info " - git 已安装" fi # 安装 tmux（会话持久化） if ! command -v tmux &> /dev/null; then log_info " - 安装 tmux..." sudo apt-get install -y -qq tmux >/dev/null 2>&1 else log_info " - tmux 已安装" fi # 安装 curl（网络请求） if ! command -v curl &> /dev/null; then log_info " - 安装 curl..." sudo apt-get install -y -qq curl >/dev/null 2>&1 else log_info " - curl 已安装" fi # 安装 jq（JSON 处理，可选） if ! command -v jq &> /dev/null; then log_info " - 安装 jq..." sudo apt-get install -y -qq jq >/dev/null 2>&1 else log_info " - jq 已安装" fi } # 创建工作目录 create_directories() { log_info "创建工作目录..." sudo mkdir -p "$MARKER_DIR" sudo mkdir -p "${MARKER_DIR}/logs" sudo mkdir -p "${MARKER_DIR}/data" sudo chmod 755 "$MARKER_DIR" sudo chown -R $USER:$USER "$MARKER_DIR" } # 写入完成标记 write_marker() { echo "Bootstrap completed at $(date)" | sudo tee "$MARKER_FILE" > /dev/null log_success "环境初始化完成" } # 主流程 main() { log_info "==========================================" log_info " XingRin 环境初始化" log_info "==========================================" # 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） if check_already_done; then return 0 # 跳过初始化，继续执行后续脚本（Docker 部署、启动容器等） fi check_os create_directories install_dependencies write_marker log_info "==========================================" log_success " ✓ 初始化完成" log_info "==========================================" } main "$@" ================================================ FILE: backend/scripts/worker-deploy/install.sh ================================================ #!/bin/bash # ============================================ # XingRin 远程节点安装脚本 # 用途：安装 Docker 环境 + 预拉取镜像 # 支持：Ubuntu / Debian / Kali # # 架构说明： # 1. 安装 Docker 环境 # 2. 预拉取 worker 镜像（避免任务执行时网络延迟） # 3. agent 通过 start-agent.sh 启动（心跳上报） # 4. 扫描任务由主服务器通过 SSH 执行 docker run # # 镜像版本管理： # - IMAGE_TAG 由主服务器传入，确保版本一致性 # - 预拉取后，任务执行时使用 --pull=missing 直接用本地镜像 # ============================================ set -e MARKER_DIR="/opt/xingrin" DOCKER_MARKER="${MARKER_DIR}/.docker_installed" # 颜色定义 GREEN='\033[0;32m' YELLOW='\033[0;33m' BLUE='\033[0;34m' RED='\033[0;31m' NC='\033[0m' # 渐变色定义 CYAN='\033[0;36m' MAGENTA='\033[0;35m' BOLD='\033[1m' DIM='\033[2m' log_info() { echo -e "${CYAN} ▸${NC} $1"; } log_success() { echo -e "${GREEN} ✔${NC} $1"; } log_warn() { echo -e "${YELLOW} ⚠${NC} $1"; } log_error() { echo -e "${RED} ✖${NC} $1"; } # 炫酷 Banner show_banner() { echo -e "" echo -e "${CYAN}${BOLD} ██╗ ██╗██╗███╗ ██╗ ██████╗ ██████╗ ██╗███╗ ██╗${NC}" echo -e "${CYAN} ╚██╗██╔╝██║████╗ ██║██╔════╝ ██╔══██╗██║████╗ ██║${NC}" echo -e "${BLUE}${BOLD} ╚███╔╝ ██║██╔██╗ ██║██║ ███╗██████╔╝██║██╔██╗ ██║${NC}" echo -e "${BLUE} ██╔██╗ ██║██║╚██╗██║██║ ██║██╔══██╗██║██║╚██╗██║${NC}" echo -e "${MAGENTA}${BOLD} ██╔╝ ██╗██║██║ ╚████║╚██████╔╝██║ ██║██║██║ ╚████║${NC}" echo -e "${MAGENTA} ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝ ╚═════╝ ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝${NC}" echo -e "" echo -e "${DIM} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}" echo -e "${BOLD} 🚀 分布式安全扫描平台 │ Worker 节点部署${NC}" echo -e "${DIM} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}" echo -e "" } # 完成 Banner show_complete() { echo -e "" echo -e "${GREEN}${BOLD} ╔═══════════════════════════════════════════════════╗${NC}" echo -e "${GREEN}${BOLD} ║ ║${NC}" echo -e "${GREEN}${BOLD} ║ ██████╗ ██████╗ ███╗ ██╗███████╗██╗ ║${NC}" echo -e "${GREEN}${BOLD} ║ ██╔══██╗██╔═══██╗████╗ ██║██╔════╝██║ ║${NC}" echo -e "${GREEN}${BOLD} ║ ██║ ██║██║ ██║██╔██╗ ██║█████╗ ██║ ║${NC}" echo -e "${GREEN}${BOLD} ║ ██║ ██║██║ ██║██║╚██╗██║██╔══╝ ╚═╝ ║${NC}" echo -e "${GREEN}${BOLD} ║ ██████╔╝╚██████╔╝██║ ╚████║███████╗██╗ ║${NC}" echo -e "${GREEN}${BOLD} ║ ╚═════╝ ╚═════╝ ╚═╝ ╚═══╝╚══════╝╚═╝ ║${NC}" echo -e "${GREEN}${BOLD} ║ ║${NC}" echo -e "${GREEN}${BOLD} ║ ✨ XingRin Worker 节点部署完成！ ║${NC}" echo -e "${GREEN}${BOLD} ║ ║${NC}" echo -e "${GREEN}${BOLD} ╚═══════════════════════════════════════════════════╝${NC}" echo -e "" } # 等待 apt 锁释放 wait_for_apt_lock() { local max_wait=60 local waited=0 while sudo fuser /var/lib/apt/lists/lock >/dev/null 2>&1 || \ sudo fuser /var/lib/dpkg/lock >/dev/null 2>&1 || \ sudo fuser /var/lib/dpkg/lock-frontend >/dev/null 2>&1; do if [ $waited -eq 0 ]; then log_info "等待 apt 锁释放..." fi sleep 2 waited=$((waited + 2)) if [ $waited -ge $max_wait ]; then log_warn "等待 apt 锁超时，继续尝试..." break fi done } # 检测操作系统 detect_os() { if [ -f /etc/os-release ]; then . /etc/os-release OS=$ID else log_error "无法检测操作系统" exit 1 fi if [[ "$OS" != "ubuntu" && "$OS" != "debian" && "$OS" != "kali" ]]; then log_error "仅支持 Ubuntu/Debian/Kali 系统" exit 1 fi } # 安装 Docker install_docker() { if command -v docker &> /dev/null; then log_info "Docker 已安装: $(docker --version)" return 0 fi log_info "安装 Docker..." wait_for_apt_lock # 安装依赖 sudo apt-get update -qq sudo apt-get install -y -qq ca-certificates curl gnupg lsb-release >/dev/null 2>&1 # 添加 Docker GPG key sudo mkdir -p /etc/apt/keyrings curl -fsSL https://download.docker.com/linux/${OS}/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg 2>/dev/null # 添加 Docker 源 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 # 安装 Docker sudo apt-get update -qq sudo apt-get install -y -qq docker-ce docker-ce-cli containerd.io docker-compose-plugin >/dev/null 2>&1 # 启动 Docker sudo systemctl enable docker >/dev/null 2>&1 || true sudo systemctl start docker >/dev/null 2>&1 || true # 添加当前用户到 docker 组 sudo usermod -aG docker $USER 2>/dev/null || true log_success "Docker 安装完成" } # 创建数据目录 create_dirs() { log_info "创建数据目录..." sudo mkdir -p "${MARKER_DIR}/results" sudo mkdir -p "${MARKER_DIR}/logs" sudo mkdir -p "${MARKER_DIR}/fingerprints" sudo mkdir -p "${MARKER_DIR}/wordlists" sudo chmod -R 777 "${MARKER_DIR}" log_success "数据目录已创建" } # 清理旧容器 cleanup_old_containers() { log_info "清理旧容器..." # 停止并删除旧的 agent 容器 docker stop xingrin-agent 2>/dev/null || true docker rm xingrin-agent 2>/dev/null || true # 兼容旧名称 docker stop xingrin-watchdog 2>/dev/null || true docker rm xingrin-watchdog 2>/dev/null || true log_success "旧容器已清理" } # 拉取 Worker 镜像（预先拉取，避免任务执行时网络延迟） # # 镜像拉取策略： # 1. 安装时预先拉取 worker 镜像到本地 # 2. 后续任务执行时使用 --pull=missing，直接用本地镜像 # 3. 版本由主服务器的 IMAGE_TAG 决定，确保版本一致性 pull_image() { log_info "拉取 Worker 镜像..." # 镜像版本由部署时传入（deploy_service.py 注入 IMAGE_TAG 环境变量） if [ -z "$IMAGE_TAG" ]; then log_error "IMAGE_TAG 未设置，请确保部署时传入版本号" exit 1 fi local docker_user="${DOCKER_USER:-yyhuni}" # 拉取指定版本的 worker 镜像（用于执行扫描任务） sudo docker pull "${docker_user}/xingrin-worker:${IMAGE_TAG}" log_success "镜像拉取完成: ${docker_user}/xingrin-worker:${IMAGE_TAG}" } # 主流程 main() { show_banner detect_os install_docker cleanup_old_containers create_dirs pull_image touch "$DOCKER_MARKER" show_complete } main "$@" ================================================ FILE: backend/scripts/worker-deploy/start-agent.sh ================================================ #!/bin/bash # ============================================ # XingRin Agent 启动脚本 # 用途：启动 agent 容器（心跳上报 + 负载监控） # # 架构说明： # - 使用 docker run 直接启动 agent 容器 # - agent 负责心跳上报和系统负载监控 # - 扫描任务由主服务器通过 SSH 执行独立的 worker 容器 # - 镜像版本由主服务器传入，确保版本一致性 # # 镜像拉取： # - 使用 --pull=missing，优先使用本地镜像 # - 如果本地没有则从 Docker Hub 拉取 # ============================================ set -e MARKER_DIR="/opt/xingrin" CONTAINER_NAME="xingrin-agent" # 使用轻量 agent 镜像（~30MB），仅包含心跳上报功能 # 镜像版本由部署时传入（必须设置） DOCKER_USER="${DOCKER_USER:-yyhuni}" if [ -z "$IMAGE_TAG" ]; then echo "[ERROR] IMAGE_TAG 未设置，请确保部署时传入版本号" exit 1 fi IMAGE="${DOCKER_USER}/xingrin-agent:${IMAGE_TAG}" # 预设变量（远程部署时由 deploy_service.py 替换） PRESET_SERVER_URL="{{HEARTBEAT_API_URL}}" PRESET_WORKER_ID="{{WORKER_ID}}" PRESET_API_KEY="{{WORKER_API_KEY}}" # 颜色定义 GREEN='\033[0;32m' BLUE='\033[0;34m' NC='\033[0m' log_info() { echo -e "${BLUE}[XingRin]${NC} $1"; } log_success() { echo -e "${GREEN}[XingRin]${NC} $1"; } # 停止旧容器 stop_old() { if docker ps -a --format '{{.Names}}' | grep -q "^${CONTAINER_NAME}$"; then log_info "停止旧的 agent 容器..." docker stop ${CONTAINER_NAME} 2>/dev/null || true docker rm ${CONTAINER_NAME} 2>/dev/null || true fi # 兼容旧名称 if docker ps -a --format '{{.Names}}' | grep -q "^xingrin-watchdog$"; then docker stop xingrin-watchdog 2>/dev/null || true docker rm xingrin-watchdog 2>/dev/null || true fi } # 启动 agent start_agent() { log_info "==========================================" log_info " XingRin Agent 启动" log_info "==========================================" log_info "启动 agent 容器..." # --pull=missing: 本地没有镜像时才拉取 # 版本更新由服务端通过 SSH 显式 docker pull 触发 docker run -d --pull=missing \ --name ${CONTAINER_NAME} \ --restart always \ -e SERVER_URL="${PRESET_SERVER_URL}" \ -e WORKER_ID="${PRESET_WORKER_ID}" \ -e IMAGE_TAG="${IMAGE_TAG}" \ -e WORKER_API_KEY="${PRESET_API_KEY}" \ -v /proc:/host/proc:ro \ ${IMAGE} log_success "Agent 已启动" } # 显示完成信息 show_completion() { echo "" log_success "==========================================" log_success " ✓ Agent 已启动" log_success "==========================================" echo "" log_info "管理命令：" echo " - 查看日志: docker logs -f ${CONTAINER_NAME}" echo " - 重启: docker restart ${CONTAINER_NAME}" echo " - 停止: docker stop ${CONTAINER_NAME}" echo "" } # 主流程 main() { stop_old start_agent show_completion } main "$@" ================================================ FILE: backend/scripts/worker-deploy/uninstall.sh ================================================ #!/bin/bash # ============================================ # XingRin 远程节点卸载脚本 # 用途：停止 agent 容器并清理环境 # 支持：Ubuntu / Debian # ============================================ set -e MARKER_DIR="/opt/xingrin" GREEN='\033[0;32m' BLUE='\033[0;34m' NC='\033[0m' log_info() { echo -e "${BLUE}[XingRin]${NC} $1"; } log_success() { echo -e "${GREEN}[XingRin]${NC} $1"; } # 停止 agent 容器 stop_agent() { log_info "停止 agent 容器..." # 停止新名称容器 docker stop xingrin-agent 2>/dev/null || true docker rm xingrin-agent 2>/dev/null || true # 兼容旧名称 docker stop xingrin-watchdog 2>/dev/null || true docker rm xingrin-watchdog 2>/dev/null || true log_success "Agent 已停止" } # 清理数据目录 cleanup_data() { log_info "清理数据目录..." if [ -d "${MARKER_DIR}" ]; then sudo rm -rf "${MARKER_DIR}" log_success "数据目录已清理" fi } # 显示完成信息 show_completion() { echo "" log_success "==========================================" log_success " ✓ 卸载完成" log_success "==========================================" echo "" log_info "注意：Docker 未卸载，如需卸载请手动执行" } # 主流程 main() { log_info "==========================================" log_info " XingRin 节点卸载" log_info "==========================================" stop_agent cleanup_data show_completion } main "$@" ================================================ FILE: backend/wordlist/dir_default.txt ================================================ /api/admin/v1/users/all /registerSuccess.do /getALLUsers /swagger/static/index.html /swagger-ui/index.html /dubbo-provider/distv2/index.html /user/swagger-ui.html /swagger-dubbo/api-docs /distv2/index.html /static/swagger.json /api/index.html /v2/swagger.json /actuator/hystrix.stream /intergrationgraph /druid /swagger-ui/html /api/v2/api-docs /swagger/codes /template/swagger-ui.html /spring-security-rest/api/swagger-ui.html /spring-security-oauth-resource/swagger-ui.html /v2/api-docs /api.html /sw/swagger-ui.html /~www /~xfs /~uucp /~user5 /~web /~user4 /~user3 /~user /~user1 /~toor /~user2 /~sync /~system /~testuser /~test /~shutdown /~sql /~root /~staff /~rpc /~reception /~rpcuser /~operator /~office /~nscd /~postmaster /~pop /~nobody /~news /~mailnull /~mail /~lp /~ident /~http /~helpdesk /~help /~halt /~gdm /~gopher /~guest /~games /~fwuser /~fwadmin /~firewall /~fw /~db /~database /~backup /~ftp /~data /~daemon /~bin /~apache /~admin/ /~/ /~anonymous /~administrator /zipkin/ /~admin /~adm /zimbra /zf_backend.php /zone-h.php /zimbra/ /yonetim.php /zeroclipboard.swf /zebra.conf /zehir.php /zabbix/ /yum.log /yonetim.html /yonetici /ylwrap /yonetici.html /yonetici.php /yonetim /yarn.lock /yarn-error.log /yarn-debug.log /yaml_cron.log /xw.php /xx.php /yaml.log /xw1.php /xsql/lib/XSQLConfig.xml /xslt/ /xsl/common.xsl /xsl/ /xsl/_common.xsl /xsql/ /xshell.php /xmlrpc.php /xphpMyAdmin/ /xprober.php /xmlrpc_server.php /xphperrors.log /xmlrpc /xml/_common.xml /xml/common.xml /xml/ /xls/ /xml /xcuserdata/ /xlogin/ /xiaoma.php /xferlog /xd.php /xampp/phpmyadmin/scripts/setup.php /xampp/phpmyadmin/index.php /xampp/phpmyadmin/ /xampp/ /x.php /wwwstats.htm /wwwstat /wwwroot.zip /wwwroot.tgz /wwwroot.tar.bz2 /wwwroot.tar.gz /wwwlog 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XingRin Agent - 轻量心跳上报镜像 # 用途：心跳上报 + 负载监控 + 版本检查 # 基础镜像：Alpine Linux (~5MB) # 最终大小：~10MB # ============================================ FROM alpine:3.19 # 构建参数：版本号 ARG IMAGE_TAG=unknown # 安装必要工具 RUN apk add --no-cache \ bash \ curl \ procps # 复制 agent 脚本 COPY backend/scripts/worker-deploy/agent.sh /app/agent.sh RUN chmod +x /app/agent.sh # 将版本号写入环境变量（运行时可用） ENV IMAGE_TAG=${IMAGE_TAG} # 工作目录 WORKDIR /app # 默认命令 CMD ["bash", "/app/agent.sh"] ================================================ FILE: docker/docker-compose.dev.yml ================================================ services: # PostgreSQL（可选，使用远程数据库时不启动） # 本地模式: docker compose --profile local-db up -d # 远程模式: docker compose up -d（需配置 DB_HOST 为远程地址） # 使用自定义镜像，预装 pg_ivm 扩展 postgres: profiles: ["local-db"] build: context: ./postgres dockerfile: Dockerfile image: ${DOCKER_USER:-yyhuni}/xingrin-postgres:${IMAGE_TAG:-dev} restart: always environment: POSTGRES_DB: ${DB_NAME} POSTGRES_USER: ${DB_USER} POSTGRES_PASSWORD: ${DB_PASSWORD} volumes: - postgres_data:/var/lib/postgresql/data - ./postgres/init-user-db.sh:/docker-entrypoint-initdb.d/init-user-db.sh ports: - "${DB_PORT}:5432" command: > postgres -c shared_preload_libraries=pg_ivm healthcheck: test: ["CMD-SHELL", "pg_isready -U ${DB_USER}"] interval: 5s timeout: 5s retries: 5 redis: image: redis:7-alpine restart: always healthcheck: test: ["CMD", "redis-cli", "ping"] interval: 5s timeout: 5s retries: 5 server: build: context: .. dockerfile: docker/server/Dockerfile restart: always env_file: - .env environment: - IMAGE_TAG=${IMAGE_TAG:-dev} ports: - "8888:8888" depends_on: redis: condition: service_healthy volumes: # 统一挂载数据目录 - /opt/xingrin:/opt/xingrin - /var/run/docker.sock:/var/run/docker.sock # OOM 优先级：-500 保护核心服务 oom_score_adj: -500 healthcheck: # 使用专门的健康检查端点（无需认证） test: ["CMD", "curl", "-f", "http://localhost:8888/api/health/"] interval: 30s timeout: 10s retries: 3 start_period: 60s # Agent：心跳上报 + 负载监控 + 版本检查 agent: build: context: .. dockerfile: docker/agent/Dockerfile args: IMAGE_TAG: ${IMAGE_TAG:-dev} restart: always environment: - SERVER_URL=http://server:8888 - WORKER_NAME=Local-Worker - IS_LOCAL=true - IMAGE_TAG=${IMAGE_TAG:-dev} - WORKER_API_KEY=${WORKER_API_KEY} depends_on: server: condition: service_healthy volumes: - /proc:/host/proc:ro frontend: build: context: .. dockerfile: docker/frontend/Dockerfile args: IMAGE_TAG: ${IMAGE_TAG:-dev} restart: always # OOM 优先级：-500 保护 Web 界面 oom_score_adj: -500 depends_on: server: condition: service_healthy nginx: build: context: .. dockerfile: docker/nginx/Dockerfile restart: always # OOM 优先级：-500 保护入口网关 oom_score_adj: -500 depends_on: server: condition: service_healthy frontend: condition: service_started ports: - "8083:8083" volumes: # SSL 证书挂载（方便更新） - ./nginx/ssl:/etc/nginx/ssl:ro # Worker：扫描任务执行容器（开发模式下构建） worker: build: context: .. dockerfile: docker/worker/Dockerfile image: docker-worker:${IMAGE_TAG:-latest}-dev restart: "no" volumes: - /opt/xingrin:/opt/xingrin command: echo "Worker image built for development" volumes: postgres_data: networks: default: name: xingrin_network # 固定网络名，不随目录名变化 ================================================ FILE: docker/docker-compose.yml ================================================ # ============================================ # 生产环境配置 - 使用 Docker Hub 预构建镜像 # ============================================ # 用法: docker compose up -d # # 开发环境请使用: docker compose -f docker-compose.dev.yml up -d # ============================================ services: # PostgreSQL（可选，使用远程数据库时不启动） # 使用自定义镜像，预装 pg_ivm 扩展 postgres: profiles: ["local-db"] build: context: ./postgres dockerfile: Dockerfile image: ${DOCKER_USER:-yyhuni}/xingrin-postgres:${IMAGE_TAG:?IMAGE_TAG is required} restart: always environment: POSTGRES_DB: ${DB_NAME} POSTGRES_USER: ${DB_USER} POSTGRES_PASSWORD: ${DB_PASSWORD} volumes: - postgres_data:/var/lib/postgresql/data - ./postgres/init-user-db.sh:/docker-entrypoint-initdb.d/init-user-db.sh ports: - "${DB_PORT}:5432" command: > postgres -c shared_preload_libraries=pg_ivm healthcheck: test: ["CMD-SHELL", "pg_isready -U ${DB_USER}"] interval: 5s timeout: 5s retries: 5 redis: image: redis:7-alpine restart: always healthcheck: test: ["CMD", "redis-cli", "ping"] interval: 5s timeout: 5s retries: 5 server: image: ${DOCKER_USER:-yyhuni}/xingrin-server:${IMAGE_TAG:?IMAGE_TAG is required} restart: always env_file: - .env environment: - IMAGE_TAG=${IMAGE_TAG} depends_on: redis: condition: service_healthy volumes: # 统一挂载数据目录 - /opt/xingrin:/opt/xingrin # 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） - /var/run/docker.sock:/var/run/docker.sock # OOM 优先级：-500 降低被 OOM Killer 选中的概率，保护核心服务 oom_score_adj: -500 healthcheck: # 使用专门的健康检查端点（无需认证） test: ["CMD", "curl", "-f", "http://localhost:8888/api/health/"] interval: 30s timeout: 10s retries: 3 start_period: 60s # ============================================ # Agent：轻量心跳上报 + 负载监控（~10MB） # 扫描任务通过 task_distributor 分发到动态容器 # ============================================ agent: image: ${DOCKER_USER:-yyhuni}/xingrin-agent:${IMAGE_TAG:?IMAGE_TAG is required} container_name: xingrin-agent restart: always environment: - SERVER_URL=http://server:8888 - WORKER_NAME=Local-Worker - IS_LOCAL=true - IMAGE_TAG=${IMAGE_TAG} - WORKER_API_KEY=${WORKER_API_KEY} depends_on: server: condition: service_healthy volumes: - /proc:/host/proc:ro frontend: image: ${DOCKER_USER:-yyhuni}/xingrin-frontend:${IMAGE_TAG:?IMAGE_TAG is required} restart: always # OOM 优先级：-500 保护 Web 界面 oom_score_adj: -500 depends_on: server: condition: service_healthy nginx: image: ${DOCKER_USER:-yyhuni}/xingrin-nginx:${IMAGE_TAG:?IMAGE_TAG is required} restart: always # OOM 优先级：-500 保护入口网关 oom_score_adj: -500 depends_on: server: condition: service_healthy frontend: condition: service_started ports: - "8083:8083" volumes: - ./nginx/ssl:/etc/nginx/ssl:ro volumes: postgres_data: networks: default: name: xingrin_network # 固定网络名，不随目录名变化 ================================================ FILE: docker/frontend/Dockerfile ================================================ # 前端 Next.js Dockerfile # 使用多阶段构建 + BuildKit 缓存优化 # ==================== 依赖安装阶段 ==================== FROM node:20-alpine AS deps WORKDIR /app # 安装 pnpm RUN corepack enable && corepack prepare pnpm@latest --activate # 复制依赖文件 COPY frontend/package.json frontend/pnpm-lock.yaml ./ # 安装依赖（使用 BuildKit 缓存加速） RUN --mount=type=cache,target=/root/.local/share/pnpm/store \ pnpm install --frozen-lockfile # ==================== 构建阶段 ==================== FROM node:20-alpine AS builder WORKDIR /app RUN corepack enable && corepack prepare pnpm@latest --activate # 复制依赖 COPY --from=deps /app/node_modules ./node_modules COPY frontend/ ./ # 设置环境变量（构建时使用） ARG NEXT_PUBLIC_API_URL ARG IMAGE_TAG=unknown ENV NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL} ENV NEXT_PUBLIC_VERSION=${IMAGE_TAG} # Docker 内部网络使用服务名 server 作为后端地址 ENV API_HOST=server # 构建（使用 BuildKit 缓存加速） RUN --mount=type=cache,target=/app/.next/cache \ pnpm build # ==================== 运行阶段 ==================== FROM node:20-alpine AS runner WORKDIR /app ENV NODE_ENV=production # 创建非 root 用户 RUN addgroup --system --gid 1001 nodejs RUN adduser --system --uid 1001 nextjs # 复制构建产物 COPY --from=builder /app/public ./public COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./ COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static USER nextjs EXPOSE 3000 ENV PORT=3000 ENV HOSTNAME="0.0.0.0" CMD ["node", "server.js"] ================================================ FILE: docker/nginx/Dockerfile ================================================ FROM nginx:1.27-alpine # 复制 nginx 配置和证书 COPY docker/nginx/nginx.conf /etc/nginx/nginx.conf COPY docker/nginx/ssl /etc/nginx/ssl ================================================ FILE: docker/nginx/nginx.conf ================================================ worker_processes auto; events { worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; sendfile on; keepalive_timeout 65; # 上游服务 upstream backend { server server:8888; } upstream frontend { server frontend:3000; } # HTTPS 反代（将证书放在 /docker/nginx/ssl 下映射到 /etc/nginx/ssl） server { listen 8083 ssl http2; server_name _; ssl_certificate /etc/nginx/ssl/fullchain.pem; ssl_certificate_key /etc/nginx/ssl/privkey.pem; ssl_protocols TLSv1.2 TLSv1.3; ssl_ciphers HIGH:!aNULL:!MD5; client_max_body_size 50m; # HTTP 请求到 HTTPS 端口时自动跳转 error_page 497 =301 https://$host:$server_port$request_uri; # 指纹特征 - 用于 FOFA/Shodan 等搜索引擎识别 add_header X-Powered-By "Xingrin ASM" always; location /api/ { proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_read_timeout 300s; # 5分钟，支持大数据量导出 proxy_send_timeout 300s; proxy_pass http://backend; } # WebSocket 反代 location /ws/ { proxy_pass http://backend; proxy_http_version 1.1; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection "upgrade"; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_read_timeout 86400; # 24小时，防止 WebSocket 超时 } # 前端反代 location / { proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto $scheme; proxy_pass http://frontend; } } } ================================================ FILE: docker/nginx/ssl/README.md ================================================ 此处放置你的 SSL 证书文件，例如： fullchain.pem privkey.pem ================================================ FILE: docker/postgres/Dockerfile ================================================ FROM postgres:15 # 安装编译依赖 RUN apt-get update && apt-get install -y \ build-essential \ postgresql-server-dev-15 \ git \ && rm -rf /var/lib/apt/lists/* # 编译安装 pg_ivm RUN git clone https://github.com/sraoss/pg_ivm.git /tmp/pg_ivm \ && cd /tmp/pg_ivm \ && make \ && make install \ && rm -rf /tmp/pg_ivm # 配置 shared_preload_libraries # 注意: 这个配置会在容器启动时被应用 RUN echo "shared_preload_libraries = 'pg_ivm'" >> /usr/share/postgresql/postgresql.conf.sample ================================================ FILE: docker/postgres/init-user-db.sh ================================================ #!/bin/bash set -e # 创建应用数据库（生产 + 开发） # 使用条件创建避免与 POSTGRES_DB 自动创建的数据库冲突 psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "postgres" <<-EOSQL SELECT 'CREATE DATABASE xingrin' WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = 'xingrin')\gexec SELECT 'CREATE DATABASE xingrin_dev' WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = 'xingrin_dev')\gexec GRANT ALL PRIVILEGES ON DATABASE xingrin TO "$POSTGRES_USER"; GRANT ALL PRIVILEGES ON DATABASE xingrin_dev TO "$POSTGRES_USER"; EOSQL # 启用 pg_trgm 扩展（用于文本模糊搜索索引） psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "xingrin" <<-EOSQL CREATE EXTENSION IF NOT EXISTS pg_trgm; EOSQL psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "xingrin_dev" <<-EOSQL CREATE EXTENSION IF NOT EXISTS pg_trgm; EOSQL ================================================ FILE: docker/restart.sh ================================================ #!/bin/bash set -e cd "$(dirname "$0")" source "./scripts/common.sh" init_docker_env_with_env_check # 颜色 CYAN='\033[0;36m' GREEN='\033[0;32m' NC='\033[0m' echo -e "${CYAN}[RESTART]${NC} 重启服务..." # 尝试重启两种模式的容器 if [ -f "docker-compose.yml" ]; then ${COMPOSE_CMD} -f docker-compose.yml restart 2>/dev/null || true fi if [ -f "docker-compose.dev.yml" ]; then ${COMPOSE_CMD} -f docker-compose.dev.yml restart 2>/dev/null || true fi echo -e "${GREEN}[OK]${NC} 服务已重启" ================================================ FILE: docker/scripts/common.sh ================================================ #!/bin/bash # 公共函数库 - 被其他脚本 source 引用 # ==================== 颜色定义 ==================== RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' NC='\033[0m' # ==================== 日志函数 ==================== log_info() { echo -e "${GREEN}[INFO]${NC} $1"; } log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; } log_error() { echo -e "${RED}[ERROR]${NC} $1"; } # ==================== Docker 环境检查 ==================== check_docker() { if ! command -v docker >/dev/null 2>&1; then log_error "未检测到 docker 命令，请先安装 Docker。" exit 1 fi if ! docker info >/dev/null 2>&1; then log_error "Docker 守护进程未运行，请先启动 Docker。" exit 1 fi } # ==================== Docker Compose 命令检测 ==================== detect_compose_cmd() { if docker compose version >/dev/null 2>&1; then COMPOSE_CMD="docker compose" elif command -v docker-compose >/dev/null 2>&1; then COMPOSE_CMD="docker-compose" else log_error "未检测到 docker-compose 或 docker compose。" exit 1 fi export COMPOSE_CMD } # ==================== 环境变量文件检查 ==================== check_env_file() { if [ ! -f .env ]; then log_error "未找到 .env 配置文件。" echo " 请先根据 .env.example 创建 .env 文件。" exit 1 fi } # ==================== 数据库配置检测 ==================== detect_db_profile() { DB_HOST=$(grep -E "^DB_HOST=" .env | cut -d'=' -f2 | tr -d ' "'"'" || echo "postgres") if [[ "$DB_HOST" == "postgres" || "$DB_HOST" == "localhost" || "$DB_HOST" == "127.0.0.1" ]]; then echo "[DB] 使用本地 PostgreSQL 容器" PROFILE_ARG="--profile local-db" else echo "[DB] 使用远程 PostgreSQL: $DB_HOST" PROFILE_ARG="" fi export PROFILE_ARG } # ==================== 获取 docker 目录路径 ==================== get_docker_dir() { # common.sh 位于 docker/scripts/，所以 docker 目录是上一级 local script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" echo "$(dirname "$script_dir")" } # ==================== 初始化检查（一次性调用） ==================== init_docker_env() { DOCKER_DIR="$(get_docker_dir)" cd "$DOCKER_DIR" check_docker detect_compose_cmd export DOCKER_DIR } init_docker_env_with_env_check() { init_docker_env check_env_file } ================================================ FILE: docker/scripts/init-data.sh ================================================ #!/bin/bash # # 数据初始化脚本（公共模块） # # 包含： # - 数据库迁移 # - 初始化默认引擎配置 # - 初始化字典 # - 初始化 Nuclei 模板仓库 # # 被以下脚本调用： # - install.sh（安装时） # - start.sh（启动时） # - update.sh（更新时） # set -e SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" DOCKER_DIR="$(dirname "$SCRIPT_DIR")" cd "$DOCKER_DIR" # 颜色输出 GREEN='\033[0;32m' YELLOW='\033[1;33m' BLUE='\033[0;34m' CYAN='\033[0;36m' BOLD='\033[1m' NC='\033[0m' log_info() { echo -e " ${GREEN}OK${NC} $1"; } log_warn() { echo -e " ${YELLOW}!${NC} $1"; } log_step() { echo -e " ${CYAN}>>${NC} $1"; } # 检查服务是否运行 check_server() { # 使用 docker compose ps 的 --format 选项获取服务状态 # 这种方式不依赖容器名称格式，只检查服务名 if ! docker compose ps --format '{{.Service}} {{.State}}' 2>/dev/null | grep -E "^server\s+running" > /dev/null; then echo "Server 容器未运行，跳过数据初始化" return 1 fi return 0 } # 等待服务就绪 wait_for_server() { log_info "等待 Server 服务就绪..." local max_attempts=30 local attempt=0 while [ $attempt -lt $max_attempts ]; do if docker compose exec -T server python backend/manage.py check &>/dev/null; then log_info "Server 服务已就绪" return 0 fi attempt=$((attempt + 1)) sleep 2 done log_warn "等待 Server 服务超时" return 1 } # 数据库迁移 run_migrations() { log_step "执行数据库迁移..." # 迁移文件应手动生成并提交到仓库，这里只执行 migrate docker compose exec -T server python backend/manage.py migrate --noinput log_info "数据库迁移完成" } # 初始化引擎配置 init_engine_config() { log_step "初始化引擎配置..." docker compose exec -T server python backend/manage.py shell -c " from apps.engine.models import ScanEngine from pathlib import Path yaml_path = Path('/app/backend/apps/scan/configs/engine_config_example.yaml') if not yaml_path.exists(): print('未找到配置文件，跳过') exit(0) new_config = yaml_path.read_text() # 检查是否已有 full scan 引擎 engine = ScanEngine.objects.filter(name='full scan').first() if engine: # 直接覆盖为最新配置 engine.configuration = new_config engine.save(update_fields=['configuration']) print(f'已更新引擎配置: {engine.name}') else: # 创建引擎 engine = ScanEngine.objects.create( name='full scan', configuration=new_config, ) print(f'已创建引擎: {engine.name}') " log_info "引擎配置初始化完成" } # 初始化字典 init_wordlists() { log_step "初始化字典..." docker compose exec -T server python backend/manage.py init_wordlists log_info "字典初始化完成" } # 初始化指纹库 init_fingerprints() { log_step "初始化指纹库..." docker compose exec -T server python backend/manage.py init_fingerprints log_info "指纹库初始化完成" } # 初始化 Nuclei 模板仓库 init_nuclei_templates() { log_step "初始化 Nuclei 模板仓库..." # 只创建数据库记录，git clone 由 install.sh 在容器外完成（支持 Git 加速） docker compose exec -T server python backend/manage.py init_nuclei_templates log_info "Nuclei 模板仓库初始化完成" } # 初始化 admin 用户 init_admin_user() { log_step "初始化 admin 用户..." docker compose exec -T server python backend/manage.py init_admin log_info "admin 用户初始化完成" } # 主函数 main() { # 解析参数 DEV_MODE=false SKIP_MIGRATION=false while [[ $# -gt 0 ]]; do case $1 in --dev) DEV_MODE=true; shift ;; --skip-migration) SKIP_MIGRATION=true; shift ;; *) shift ;; esac done echo "" echo -e "${BOLD}${BLUE}────────────────────────────────────────${NC}" echo -e "${BOLD}${BLUE} 数据初始化${NC}" echo -e "${BOLD}${BLUE}────────────────────────────────────────${NC}" echo "" if ! check_server; then return 1 fi wait_for_server || return 1 if [ "$SKIP_MIGRATION" = "false" ]; then run_migrations fi init_engine_config init_wordlists init_fingerprints init_nuclei_templates init_admin_user echo "" echo -e " ${GREEN}数据初始化完成${NC}" echo "" } # 如果直接执行此脚本 if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then main "$@" fi ================================================ FILE: docker/scripts/install-pg-ivm.sh ================================================ #!/bin/bash # pg_ivm 一键安装脚本（用于远程自建 PostgreSQL 服务器） # 要求: PostgreSQL 13+ 版本 set -e echo "==========================================" echo "pg_ivm 一键安装脚本" echo "要求: PostgreSQL 13+ 版本" echo "==========================================" echo "" # 检查是否以 root 运行 if [ "$EUID" -ne 0 ]; then echo "错误: 请使用 sudo 运行此脚本" exit 1 fi # 检测 PostgreSQL 版本 detect_pg_version() { if command -v psql &> /dev/null; then psql --version | grep -oP '\d+' | head -1 elif [ -n "$PG_VERSION" ]; then echo "$PG_VERSION" else echo "15" fi } PG_VERSION=${PG_VERSION:-$(detect_pg_version)} # 检测 PostgreSQL if ! command -v psql &> /dev/null; then echo "错误: 未检测到 PostgreSQL，请先安装 PostgreSQL" exit 1 fi echo "检测到 PostgreSQL 版本: $PG_VERSION" # 检查版本要求 if [ "$PG_VERSION" -lt 13 ]; then echo "错误: pg_ivm 要求 PostgreSQL 13+ 版本，当前版本: $PG_VERSION" exit 1 fi # 安装编译依赖 echo "" echo "[1/4] 安装编译依赖..." if command -v apt-get &> /dev/null; then apt-get update -qq apt-get install -y -qq build-essential postgresql-server-dev-${PG_VERSION} git elif command -v yum &> /dev/null; then yum install -y gcc make git postgresql${PG_VERSION}-devel else echo "错误: 不支持的包管理器，请手动安装编译依赖" exit 1 fi echo "✓ 编译依赖安装完成" # 编译安装 pg_ivm echo "" echo "[2/4] 编译安装 pg_ivm..." rm -rf /tmp/pg_ivm git clone --quiet https://github.com/sraoss/pg_ivm.git /tmp/pg_ivm cd /tmp/pg_ivm make -s make install -s rm -rf /tmp/pg_ivm echo "✓ pg_ivm 编译安装完成" # 配置 shared_preload_libraries echo "" echo "[3/4] 配置 shared_preload_libraries..." PG_CONF_DIRS=( "/etc/postgresql/${PG_VERSION}/main" "/var/lib/pgsql/${PG_VERSION}/data" "/var/lib/postgresql/data" ) PG_CONF_DIR="" for dir in "${PG_CONF_DIRS[@]}"; do if [ -d "$dir" ]; then PG_CONF_DIR="$dir" break fi done if [ -z "$PG_CONF_DIR" ]; then echo "警告: 未找到 PostgreSQL 配置目录，请手动配置 shared_preload_libraries" echo "在 postgresql.conf 中添加: shared_preload_libraries = 'pg_ivm'" else if grep -q "shared_preload_libraries.*pg_ivm" "$PG_CONF_DIR/postgresql.conf" 2>/dev/null; then echo "✓ shared_preload_libraries 已配置" else if [ -d "$PG_CONF_DIR/conf.d" ]; then echo "shared_preload_libraries = 'pg_ivm'" > "$PG_CONF_DIR/conf.d/pg_ivm.conf" echo "✓ 配置已写入 $PG_CONF_DIR/conf.d/pg_ivm.conf" else if grep -q "^shared_preload_libraries" "$PG_CONF_DIR/postgresql.conf"; then sed -i "s/^shared_preload_libraries = '\(.*\)'/shared_preload_libraries = '\1,pg_ivm'/" "$PG_CONF_DIR/postgresql.conf" else echo "shared_preload_libraries = 'pg_ivm'" >> "$PG_CONF_DIR/postgresql.conf" fi echo "✓ 配置已写入 $PG_CONF_DIR/postgresql.conf" fi fi fi # 重启 PostgreSQL echo "" echo "[4/4] 重启 PostgreSQL..." if systemctl is-active --quiet postgresql; then systemctl restart postgresql echo "✓ PostgreSQL 已重启" elif systemctl is-active --quiet postgresql-${PG_VERSION}; then systemctl restart postgresql-${PG_VERSION} echo "✓ PostgreSQL 已重启" else echo "警告: 无法自动重启 PostgreSQL，请手动重启" fi echo "" echo "==========================================" echo "✓ pg_ivm 安装完成" echo "==========================================" echo "" echo "验证安装:" echo " psql -U postgres -c \"CREATE EXTENSION IF NOT EXISTS pg_ivm;\"" echo "" ================================================ FILE: docker/scripts/setup-swap.sh ================================================ #!/bin/bash # # Ubuntu/Debian 一键开启交换分区脚本 # 用法: sudo ./setup-swap.sh [大小GB] # 示例: sudo ./setup-swap.sh 4 # 创建 4GB 交换分区 # sudo ./setup-swap.sh # 默认创建与内存相同大小的交换分区 # set -e # 颜色定义 RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' NC='\033[0m' log_info() { echo -e "${GREEN}[INFO]${NC} $1"; } log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; } log_error() { echo -e "${RED}[ERROR]${NC} $1"; } # 检查 root 权限 if [ "$EUID" -ne 0 ]; then log_error "请使用 sudo 运行此脚本" exit 1 fi # 检查是否已有交换分区 CURRENT_SWAP_KB=$(grep SwapTotal /proc/meminfo | awk '{print $2}') CURRENT_SWAP_GB=$(awk "BEGIN {printf \"%.0f\", $CURRENT_SWAP_KB / 1024 / 1024}") if [ "$CURRENT_SWAP_GB" -gt 0 ]; then log_warn "系统已有 ${CURRENT_SWAP_GB}GB 交换分区" swapon --show read -p "是否继续添加新的交换分区？(y/N) " -r if [[ ! $REPLY =~ ^[Yy]$ ]]; then log_info "已取消" exit 0 fi fi # 获取系统内存大小（GB，四舍五入） TOTAL_MEM_KB=$(grep MemTotal /proc/meminfo | awk '{print $2}') TOTAL_MEM_GB=$(awk "BEGIN {printf \"%.0f\", $TOTAL_MEM_KB / 1024 / 1024}") # 确定交换分区大小 if [ -n "$1" ]; then SWAP_SIZE_GB=$1 else # 默认与内存相同，最小 1GB，最大 8GB SWAP_SIZE_GB=$TOTAL_MEM_GB [ "$SWAP_SIZE_GB" -lt 1 ] && SWAP_SIZE_GB=1 [ "$SWAP_SIZE_GB" -gt 8 ] && SWAP_SIZE_GB=8 fi SWAP_FILE="/swapfile_xingrin" log_info "系统内存: ${TOTAL_MEM_GB}GB" log_info "将创建 ${SWAP_SIZE_GB}GB 交换分区: $SWAP_FILE" # 检查磁盘空间（向下取整，保守估计） AVAILABLE_GB=$(df / | tail -1 | awk '{printf "%.0f", $4/1024/1024}') if [ "$AVAILABLE_GB" -lt "$SWAP_SIZE_GB" ]; then log_error "磁盘空间不足！可用: ${AVAILABLE_GB}GB，需要: ${SWAP_SIZE_GB}GB" exit 1 fi # 创建交换文件 log_info "正在创建交换文件（可能需要几分钟）..." dd if=/dev/zero of=$SWAP_FILE bs=1G count=$SWAP_SIZE_GB status=progress # 设置权限 chmod 600 $SWAP_FILE # 格式化为交换分区 mkswap $SWAP_FILE # 启用交换分区 swapon $SWAP_FILE # 添加到 fstab（开机自动挂载） if ! grep -q "$SWAP_FILE" /etc/fstab; then echo "$SWAP_FILE none swap sw 0 0" >> /etc/fstab log_info "已添加到 /etc/fstab，开机自动启用" fi # 优化 swappiness（降低交换倾向，优先使用内存） SWAPPINESS=10 if ! grep -q "vm.swappiness" /etc/sysctl.conf; then echo "vm.swappiness=$SWAPPINESS" >> /etc/sysctl.conf fi sysctl vm.swappiness=$SWAPPINESS >/dev/null log_info "交换分区创建成功！" echo "" echo "当前交换分区状态:" swapon --show echo "" free -h ================================================ FILE: docker/scripts/setup-system-monitor.sh ================================================ #!/bin/bash # 系统监控初始化脚本：8G Swap + Netdata + OOM 保护 # 需要 root 权限运行 set -e SWAP_SIZE="8G" SWAP_FILE="/swapfile" echo "========== 系统监控初始化 ==========" # 1. 设置 Swap echo "[1/3] 配置 ${SWAP_SIZE} Swap..." if swapon --show | grep -q "${SWAP_FILE}"; then echo " Swap 已存在，跳过" else fallocate -l ${SWAP_SIZE} ${SWAP_FILE} chmod 600 ${SWAP_FILE} mkswap ${SWAP_FILE} swapon ${SWAP_FILE} # 添加到 fstab（如果不存在） if ! grep -q "${SWAP_FILE}" /etc/fstab; then echo "${SWAP_FILE} none swap sw 0 0" >> /etc/fstab fi echo " Swap 配置完成" fi # 2. 安装 Netdata echo "[2/3] 安装 Netdata..." if command -v netdata &> /dev/null; then echo " Netdata 已安装，跳过" else curl -fsSL https://get.netdata.cloud/kickstart.sh -o /tmp/netdata-kickstart.sh bash /tmp/netdata-kickstart.sh --non-interactive --stable-channel rm -f /tmp/netdata-kickstart.sh echo " Netdata 安装完成" fi # 3. 设置 Netdata OOM 保护 echo "[3/3] 配置 OOM 保护..." OOM_CONF_DIR="/etc/systemd/system/netdata.service.d" OOM_CONF_FILE="${OOM_CONF_DIR}/oom.conf" if [ -f "${OOM_CONF_FILE}" ]; then echo " OOM 保护已配置，跳过" else mkdir -p ${OOM_CONF_DIR} cat > ${OOM_CONF_FILE} << 'EOF' [Service] OOMScoreAdjust=-1000 EOF systemctl daemon-reload systemctl restart netdata echo " OOM 保护配置完成" fi echo "" echo "========== 配置完成 ==========" echo "Swap: $(swapon --show --bytes | awk 'NR==2{print $3/1024/1024/1024 " GB"}')" echo "Netdata: http://$(hostname -I | awk '{print $1}'):19999" echo "" ================================================ FILE: docker/scripts/test-pg-ivm.sh ================================================ #!/bin/bash # pg_ivm 安装验证测试 # 在 Docker 容器中测试 install-pg-ivm.sh 的安装流程 set -e SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" CONTAINER_NAME="pg_ivm_test_$$" IMAGE_NAME="postgres:15" echo "==========================================" echo "pg_ivm 安装验证测试" echo "==========================================" # 清理函数 cleanup() { echo "" echo "[清理] 删除测试容器..." docker rm -f "$CONTAINER_NAME" 2>/dev/null || true } trap cleanup EXIT # 1. 启动临时容器 echo "" echo "[1/5] 启动临时 PostgreSQL 容器..." docker run -d --name "$CONTAINER_NAME" \ -e POSTGRES_PASSWORD=test \ -e POSTGRES_USER=postgres \ -e POSTGRES_DB=testdb \ -e PG_VERSION=15 \ "$IMAGE_NAME" echo "等待 PostgreSQL 启动..." sleep 10 if ! docker ps | grep -q "$CONTAINER_NAME"; then echo "错误: 容器启动失败" exit 1 fi # 2. 复制并执行安装脚本 echo "" echo "[2/5] 执行 pg_ivm 安装脚本..." docker cp "$SCRIPT_DIR/install-pg-ivm.sh" "$CONTAINER_NAME:/tmp/install-pg-ivm.sh" # 在容器内模拟安装（跳过 systemctl 重启，手动重启容器） docker exec "$CONTAINER_NAME" bash -c " set -e export PG_VERSION=15 echo '安装编译依赖...' apt-get update -qq apt-get install -y -qq build-essential postgresql-server-dev-15 git echo '编译安装 pg_ivm...' rm -rf /tmp/pg_ivm git clone --quiet https://github.com/sraoss/pg_ivm.git /tmp/pg_ivm cd /tmp/pg_ivm make -s make install -s rm -rf /tmp/pg_ivm echo '✓ pg_ivm 编译安装完成' " # 3. 配置 shared_preload_libraries 并重启 echo "" echo "[3/5] 配置 shared_preload_libraries..." docker exec "$CONTAINER_NAME" bash -c " echo \"shared_preload_libraries = 'pg_ivm'\" >> /var/lib/postgresql/data/postgresql.conf " echo "重启 PostgreSQL..." docker restart "$CONTAINER_NAME" sleep 8 # 4. 验证扩展是否可用 echo "" echo "[4/5] 验证 pg_ivm 扩展..." docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -c "CREATE EXTENSION IF NOT EXISTS pg_ivm;" > /dev/null 2>&1 EXTENSION_EXISTS=$(docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -t -c "SELECT COUNT(*) FROM pg_extension WHERE extname = 'pg_ivm';") if [ "$(echo $EXTENSION_EXISTS | tr -d ' ')" != "1" ]; then echo "错误: pg_ivm 扩展未正确加载" exit 1 fi echo "✓ pg_ivm 扩展已加载" # 5. 测试 IMMV 功能 echo "" echo "[5/5] 测试 IMMV 增量更新功能..." docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -c " CREATE TABLE test_table (id SERIAL PRIMARY KEY, name TEXT, value INTEGER); SELECT pgivm.create_immv('test_immv', 'SELECT id, name, value FROM test_table'); INSERT INTO test_table (name, value) VALUES ('test1', 100); INSERT INTO test_table (name, value) VALUES ('test2', 200); " > /dev/null 2>&1 IMMV_COUNT=$(docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -t -c "SELECT COUNT(*) FROM test_immv;") if [ "$(echo $IMMV_COUNT | tr -d ' ')" != "2" ]; then echo "错误: IMMV 增量更新失败，期望 2 行，实际 $(echo $IMMV_COUNT | tr -d ' ') 行" exit 1 fi echo "✓ IMMV 增量更新正常 (2 行数据)" # 测试更新 docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -c "UPDATE test_table SET value = 150 WHERE name = 'test1';" > /dev/null 2>&1 UPDATED_VALUE=$(docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -t -c "SELECT value FROM test_immv WHERE name = 'test1';") if [ "$(echo $UPDATED_VALUE | tr -d ' ')" != "150" ]; then echo "错误: IMMV 更新同步失败" exit 1 fi echo "✓ IMMV 更新同步正常" # 测试删除 docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -c "DELETE FROM test_table WHERE name = 'test2';" > /dev/null 2>&1 IMMV_COUNT_AFTER=$(docker exec "$CONTAINER_NAME" psql -U postgres -d testdb -t -c "SELECT COUNT(*) FROM test_immv;") if [ "$(echo $IMMV_COUNT_AFTER | tr -d ' ')" != "1" ]; then echo "错误: IMMV 删除同步失败" exit 1 fi echo "✓ IMMV 删除同步正常" echo "" echo "==========================================" echo "✓ 所有测试通过" echo "==========================================" echo "" echo "pg_ivm 安装验证成功，可以继续构建自定义 PostgreSQL 镜像" ================================================ FILE: docker/server/Dockerfile ================================================ FROM python:3.10-slim-bookworm WORKDIR /app # 安装系统依赖 (用于编译某些 Python 包) RUN apt-get update && apt-get install -y \ gcc \ libpq-dev \ curl \ git \ && rm -rf /var/lib/apt/lists/* # 安装 Docker CLI（用于本地 Worker 任务分发） # 只安装 docker-ce-cli，避免安装完整 Docker 引擎 RUN apt-get update && \ apt-get install -y ca-certificates gnupg && \ install -m 0755 -d /etc/apt/keyrings && \ curl -fsSL https://download.docker.com/linux/debian/gpg | gpg --dearmor -o /etc/apt/keyrings/docker.gpg && \ chmod a+r /etc/apt/keyrings/docker.gpg && \ echo "deb [arch=$(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 && \ apt-get update && \ apt-get install -y docker-ce-cli && \ rm -rf /var/lib/apt/lists/* # 安装 uv（超快的 Python 包管理器） RUN pip install uv # 安装 Python 依赖（使用 uv 并行下载，速度快 10-100 倍） COPY backend/requirements.txt . RUN --mount=type=cache,target=/root/.cache/uv \ uv pip install --system -r requirements.txt # 复制后端代码 COPY backend /app/backend ENV PYTHONPATH=/app/backend # 暴露端口 # 8888: Django/uvicorn EXPOSE 8888 # 复制启动脚本 COPY docker/server/start.sh /app/start.sh RUN chmod +x /app/start.sh CMD ["/app/start.sh"] ================================================ FILE: docker/server/start.sh ================================================ #!/bin/bash set -e echo "[START] 启动 XingRin Server..." # 1. 执行数据库迁移（迁移文件应提交到仓库，这里只执行 migrate） echo " [1/3] 执行数据库迁移..." cd /app/backend python manage.py migrate --noinput echo " ✓ 数据库迁移完成" echo " [1.1/3] 初始化默认扫描引擎..." python manage.py init_default_engine --force echo " ✓ 默认扫描引擎已就绪" echo " [1.2/3] 初始化默认目录字典..." python manage.py init_wordlists echo " ✓ 默认目录字典已就绪" echo " [1.3/3] 初始化默认指纹库..." python manage.py init_fingerprints echo " ✓ 默认指纹库已就绪" # 2. 启动 Django uvicorn 服务 (ASGI) # 定时任务由内置 APScheduler 处理，在 Django 启动时自动启动 echo " [2/3] 启动 Django uvicorn (ASGI)..." uvicorn config.asgi:application --host 0.0.0.0 --port 8888 ================================================ FILE: docker/start.sh ================================================ #!/bin/bash set -e cd "$(dirname "$0")" # 颜色定义 RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' BLUE='\033[0;34m' CYAN='\033[0;36m' BOLD='\033[1m' NC='\033[0m' # 解析参数 WITH_FRONTEND=true DEV_MODE=false QUIET_MODE=false for arg in "$@"; do case $arg in --no-frontend) WITH_FRONTEND=false ;; --dev) DEV_MODE=true ;; --quiet) QUIET_MODE=true ;; esac done # 选择 compose 文件 if [ "$DEV_MODE" = true ]; then COMPOSE_FILE="docker-compose.dev.yml" echo -e "${YELLOW}[MODE]${NC} 开发模式 - 本地构建镜像" else COMPOSE_FILE="docker-compose.yml" echo -e "${GREEN}[MODE]${NC} 生产模式 - 使用 Docker Hub 镜像" fi # 检查 Docker 环境 if ! command -v docker >/dev/null 2>&1; then echo -e "${RED}[ERROR]${NC} 未检测到 docker 命令，请先安装 Docker" exit 1 fi if ! docker info >/dev/null 2>&1; then echo -e "${RED}[ERROR]${NC} Docker 守护进程未运行，请先启动 Docker" exit 1 fi if docker compose version >/dev/null 2>&1; then COMPOSE_CMD="docker compose" elif command -v docker-compose >/dev/null 2>&1; then COMPOSE_CMD="docker-compose" else echo -e "${RED}[ERROR]${NC} 未检测到 docker compose，请先安装" exit 1 fi # 检查配置文件 if [ ! -f .env ]; then echo -e "${RED}[ERROR]${NC} 未找到 .env 配置文件" echo " 请先复制 .env.example 为 .env 并配置" exit 1 fi # 确保数据目录存在 DATA_DIR="/opt/xingrin" if [ ! -d "$DATA_DIR/results" ] || [ ! -d "$DATA_DIR/logs" ]; then echo -e "${CYAN}[INIT]${NC} 创建数据目录: $DATA_DIR" sudo mkdir -p "$DATA_DIR/results" "$DATA_DIR/logs" sudo chmod -R 755 "$DATA_DIR" fi # 读取数据库配置 DB_HOST=$(grep -E "^DB_HOST=" .env | cut -d'=' -f2 | tr -d ' "'"'" || echo "postgres") if [[ "$DB_HOST" == "postgres" || "$DB_HOST" == "localhost" || "$DB_HOST" == "127.0.0.1" ]]; then echo -e "${CYAN}[DB]${NC} 使用本地 PostgreSQL 容器" PROFILE_ARG="--profile local-db" else echo -e "${CYAN}[DB]${NC} 使用远程 PostgreSQL: $DB_HOST" PROFILE_ARG="" fi # 启动服务（启用 BuildKit 缓存 + 并行构建加速） export DOCKER_BUILDKIT=1 export COMPOSE_DOCKER_CLI_BUILD=1 export BUILDKIT_INLINE_CACHE=1 # 使用指定的 compose 文件 COMPOSE_ARGS="-f ${COMPOSE_FILE} ${PROFILE_ARG}" SERVICES="$(${COMPOSE_CMD} ${COMPOSE_ARGS} config --services)" service_exists() { echo "$SERVICES" | grep -qx "$1" } BACKEND_SERVICES=() for s in redis server agent; do if service_exists "$s"; then BACKEND_SERVICES+=("$s") fi done # 如果使用本地数据库，先启动 postgres 并等待健康 start_postgres_first() { if [ -n "$PROFILE_ARG" ]; then echo -e "${CYAN}[DB]${NC} 启动 PostgreSQL 容器..." ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d postgres echo -e "${CYAN}[DB]${NC} 等待 PostgreSQL 就绪..." local max_wait=30 local count=0 while [ $count -lt $max_wait ]; do if ${COMPOSE_CMD} ${COMPOSE_ARGS} exec -T postgres pg_isready -U postgres >/dev/null 2>&1; then echo -e "${GREEN}[DB]${NC} PostgreSQL 已就绪" return 0 fi sleep 1 count=$((count + 1)) done echo -e "${YELLOW}[WARN]${NC} PostgreSQL 等待超时，继续启动其他服务..." fi } echo "" if [ "$DEV_MODE" = true ]; then # 开发模式：本地构建 if [ "$WITH_FRONTEND" = true ]; then echo -e "${CYAN}[BUILD]${NC} 并行构建镜像..." ${COMPOSE_CMD} ${COMPOSE_ARGS} build --parallel start_postgres_first echo -e "${CYAN}[START]${NC} 启动全部服务..." ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d else echo -e "${CYAN}[BUILD]${NC} 并行构建后端镜像..." ${COMPOSE_CMD} ${COMPOSE_ARGS} build --parallel "${BACKEND_SERVICES[@]}" start_postgres_first echo -e "${CYAN}[START]${NC} 启动后端服务..." ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d "${BACKEND_SERVICES[@]}" fi else # 生产模式：拉取 Docker Hub 镜像 # pull 后 up -d 会自动检测镜像变化并重建容器 if [ "$WITH_FRONTEND" = true ]; then echo -e "${CYAN}[PULL]${NC} 拉取最新镜像..." ${COMPOSE_CMD} ${COMPOSE_ARGS} pull start_postgres_first echo -e "${CYAN}[START]${NC} 启动全部服务..." ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d else echo -e "${CYAN}[PULL]${NC} 拉取后端镜像..." ${COMPOSE_CMD} ${COMPOSE_ARGS} pull "${BACKEND_SERVICES[@]}" start_postgres_first echo -e "${CYAN}[START]${NC} 启动后端服务..." ${COMPOSE_CMD} ${COMPOSE_ARGS} up -d "${BACKEND_SERVICES[@]}" fi fi echo -e "${GREEN}[OK]${NC} 服务已启动" # 数据初始化 if [ "$DEV_MODE" = true ]; then ./scripts/init-data.sh --dev else ./scripts/init-data.sh fi # 静默模式下不显示结果（由调用方显示） if [ "$QUIET_MODE" = true ]; then exit 0 fi # 获取访问地址 PUBLIC_HOST=$(grep "^PUBLIC_HOST=" .env 2>/dev/null | cut -d= -f2) if [ -n "$PUBLIC_HOST" ] && [ "$PUBLIC_HOST" != "server" ]; then ACCESS_HOST="$PUBLIC_HOST" else ACCESS_HOST="localhost" fi # 显示结果 echo "" echo -e "${BOLD}${GREEN}════════════════════════════════════════${NC}" echo -e "${BOLD}${GREEN} 服务启动成功！${NC}" echo -e "${BOLD}${GREEN}════════════════════════════════════════${NC}" echo "" echo -e "${BOLD}访问地址${NC}" if [ "$WITH_FRONTEND" = true ]; then echo -e " XingRin: ${CYAN}https://${ACCESS_HOST}:8083/${NC}" echo -e " ${YELLOW}(HTTP 会自动跳转到 HTTPS)${NC}" else echo -e " API: ${CYAN}通过前端或 nginx 访问（后端未暴露 8888）${NC}" echo "" echo -e "${YELLOW}[TIP]${NC} 前端未启动，请手动运行:" echo " cd frontend && pnpm dev" fi echo "" ================================================ FILE: docker/stop.sh ================================================ #!/bin/bash set -e cd "$(dirname "$0")" source "./scripts/common.sh" init_docker_env # 颜色 CYAN='\033[0;36m' GREEN='\033[0;32m' NC='\033[0m' echo -e "${CYAN}[STOP]${NC} 停止服务..." # 尝试停止两种模式的容器（生产模式和开发模式） if [ -f "docker-compose.yml" ]; then ${COMPOSE_CMD} -f docker-compose.yml down 2>/dev/null || true fi if [ -f "docker-compose.dev.yml" ]; then ${COMPOSE_CMD} -f docker-compose.dev.yml down 2>/dev/null || true fi echo -e "${GREEN}[OK]${NC} 服务已停止" ================================================ FILE: docker/worker/Dockerfile ================================================ # 第一阶段：使用 Go 官方镜像编译工具 FROM golang:1.24 AS go-builder ENV GOPROXY=https://goproxy.cn,direct # Naabu 需要 CGO 和 libpcap ENV CGO_ENABLED=1 # 安装编译依赖（libpcap-dev 用于 naabu，git/build-essential 用于编译 massdns） RUN apt-get update && apt-get install -y \ libpcap-dev \ git \ build-essential \ && rm -rf /var/lib/apt/lists/* # 安装 massdns（puredns 依赖） RUN git clone https://github.com/blechschmidt/massdns.git /tmp/massdns && \ cd /tmp/massdns && \ make && \ cp bin/massdns /usr/local/bin/massdns # 安装 ProjectDiscovery 等 Go 工具（需要 CGO 的工具如 naabu） RUN go install -v github.com/projectdiscovery/httpx/cmd/httpx@latest && \ go install -v github.com/projectdiscovery/naabu/v2/cmd/naabu@latest && \ go install -v github.com/projectdiscovery/subfinder/v2/cmd/subfinder@latest && \ go install -v github.com/projectdiscovery/nuclei/v3/cmd/nuclei@latest && \ go install -v github.com/projectdiscovery/katana/cmd/katana@latest && \ go install -v github.com/tomnomnom/assetfinder@latest && \ go install -v github.com/ffuf/ffuf/v2@latest && \ go install -v github.com/d3mondev/puredns/v2@latest && \ go install -v github.com/yyhuni/xingfinger@latest # 安装漏洞扫描器 RUN go install github.com/hahwul/dalfox/v2@latest # 第二阶段：运行时镜像 FROM ubuntu:24.04 # 避免交互式提示 ENV DEBIAN_FRONTEND=noninteractive # 设置工作目录 WORKDIR /app # 1. 安装基础工具和 Python # 注意：ARM64 使用 ports.ubuntu.com，可能存在镜像同步延迟，需要重试机制 RUN apt-get update && \ apt-get install -y --no-install-recommends \ python3 \ python3-pip \ python3-venv \ pipx \ git \ curl \ wget \ unzip \ jq \ tmux \ nmap \ masscan \ libpcap-dev \ ca-certificates \ fonts-liberation \ libnss3 \ libxss1 \ libasound2t64 \ || (rm -rf /var/lib/apt/lists/* && apt-get update && apt-get install -y --no-install-recommends \ python3 python3-pip python3-venv pipx git curl wget unzip jq tmux nmap masscan libpcap-dev \ ca-certificates fonts-liberation libnss3 libxss1 libasound2t64) \ && rm -rf /var/lib/apt/lists/* # 安装 Chromium（通过 Playwright 安装，支持 ARM64 和 AMD64） # Ubuntu 24.04 的 chromium-browser 是 snap 过渡包，Docker 中不可用 RUN pip install playwright --break-system-packages && \ playwright install chromium && \ apt-get update && \ playwright install-deps chromium && \ rm -rf /var/lib/apt/lists/* # 设置 Chrome 路径供 httpx 等工具使用（Playwright 安装位置） ENV CHROME_PATH=/root/.cache/ms-playwright/chromium-*/chrome-linux/chrome # 创建软链接确保 httpx 的 -system-chrome 能找到浏览器 RUN CHROME_BIN=$(find /root/.cache/ms-playwright -name chrome -type f 2>/dev/null | head -1) && \ ln -sf "$CHROME_BIN" /usr/bin/chromium-browser && \ ln -sf "$CHROME_BIN" /usr/bin/chromium && \ ln -sf "$CHROME_BIN" /usr/bin/chrome && \ ln -sf "$CHROME_BIN" /usr/bin/google-chrome-stable # 建立 python 软链接 RUN ln -s /usr/bin/python3 /usr/bin/python # 2. 使用 pipx 安装 Python 扫描工具 ENV PATH="/root/.local/bin:$PATH" RUN pipx install uro && \ pipx install waymore && \ pipx install dnsgen # 3. 安装 Sublist3r（Python 脚本工具，放在 /usr/local/share 标准目录） RUN git clone https://github.com/aboul3la/Sublist3r.git /usr/local/share/Sublist3r && \ pip3 install --no-cache-dir -r /usr/local/share/Sublist3r/requirements.txt --break-system-packages # 4. 从 go-builder 阶段复制 Go 环境和编译好的工具 # 创建项目专用工具目录（符合 FHS 标准，/opt 用于独立软件包） # 避免与系统工具或 Python 包冲突，避免被 /opt/xingrin 挂载覆盖 RUN mkdir -p /opt/xingrin-tools/bin ENV GOPATH=/root/go ENV GOPROXY=https://goproxy.cn,direct COPY --from=go-builder /usr/local/go /usr/local/go # 从 go-builder 复制扫描工具到专用目录（避免与系统工具或 Python 包冲突） COPY --from=go-builder /go/bin/* /opt/xingrin-tools/bin/ COPY --from=go-builder /usr/local/bin/massdns /opt/xingrin-tools/bin/massdns # 将专用工具目录添加到 PATH（优先级高于 /usr/local/bin，避免冲突） ENV PATH=/opt/xingrin-tools/bin:/usr/local/go/bin:/usr/local/bin:$PATH:$GOPATH/bin # 5. 安装 uv（ Python 包管理器）并安装 Python 依赖 COPY backend/requirements.txt . RUN pip install uv --break-system-packages && \ uv pip install --system -r requirements.txt --break-system-packages && \ rm -f /usr/local/lib/python3.*/dist-packages/argparse.py && \ rm -rf /usr/local/lib/python3.*/dist-packages/__pycache__/argparse* && \ rm -rf /root/.cache/uv && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # 6. 设置 Prefect 配置目录（避免 home 目录不存在的警告） ENV PREFECT_HOME=/app/.prefect RUN mkdir -p /app/.prefect # 7. 复制后端代码 COPY backend /app/backend ENV PYTHONPATH=/app/backend # 工作目录设置为 backend，方便运行 python -m 命令 WORKDIR /app/backend # 默认命令（实际由 TaskDistributor 指定具体脚本） CMD ["python", "--version"] ================================================ FILE: docker-push.sh ================================================ #!/bin/bash # 目前采用github action自动版本构建，用 # git tag v1.0.9 # git push origin v1.0.9 # ============================================ # Docker Hub 镜像推送脚本 # 用途：构建并推送所有服务镜像到 Docker Hub # 多架构构建：./docker-push.sh -p linux/amd64,linux/arm64 worker # ============================================ set -e # 启用 BuildKit（支持高级缓存功能） export DOCKER_BUILDKIT=1 # ==================== 配置 ==================== # 切换到脚本所在目录（项目根目录） SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" # 从 Git Tag 获取版本号（必须有 tag 才能构建） get_version() { local tag tag=$(git describe --tags --exact-match 2>/dev/null) if [ -n "$tag" ]; then echo "$tag" else echo -e "\033[0;31m[ERROR]\033[0m 当前 commit 没有 Git Tag，无法构建" echo " 请先打 tag: git tag v1.x.x && git push --tags" exit 1 fi } GIT_VERSION=$(get_version) # Docker Hub 用户名（修改为你的用户名） DOCKER_USER="${DOCKER_USER:-yyhuni}" # 镜像版本标签（从 Git Tag 获取） VERSION="$GIT_VERSION" # 是否推送（默认 yes，设为 no 则只构建不推送） PUSH="${PUSH:-yes}" # 构建平台（默认当前架构，可设为 linux/amd64,linux/arm64 进行多架构构建） PLATFORM="${PLATFORM:-}" # 镜像列表 IMAGES=( "xingrin-server:docker/server/Dockerfile" "xingrin-frontend:docker/frontend/Dockerfile" "xingrin-nginx:docker/nginx/Dockerfile" "xingrin-worker:docker/worker/Dockerfile" "xingrin-agent:docker/agent/Dockerfile" ) # 颜色 RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[0;33m' BLUE='\033[0;34m' NC='\033[0m' log_info() { echo -e "${BLUE}[INFO]${NC} $1"; } log_success() { echo -e "${GREEN}[OK]${NC} $1"; } log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; } log_error() { echo -e "${RED}[ERROR]${NC} $1"; } # ==================== 帮助信息 ==================== show_help() { cat << EOF 用法: $0 [选项] [镜像名...] 版本号从 Git Tag 自动获取，无 tag 时使用 dev-。 选项: -u, --user USER Docker Hub 用户名 (默认: $DOCKER_USER) -p, --platform PLAT 构建平台 (如: linux/amd64,linux/arm64) --no-push 只构建不推送 -h, --help 显示帮助 镜像名 (可选，不指定则构建全部): server 后端服务 frontend 前端服务 nginx Nginx 反向代理 worker 扫描 Worker agent 心跳上报 Agent（轻量） 示例: $0 # 构建并推送所有镜像 $0 server frontend # 只构建 server 和 frontend $0 --no-push # 只构建不推送 $0 -p linux/amd64,linux/arm64 # 多架构构建 环境变量: DOCKER_USER Docker Hub 用户名 PUSH 是否推送 (yes/no) PLATFORM 构建平台 EOF exit 0 } # ==================== 解析参数 ==================== SELECTED_IMAGES=() while [[ $# -gt 0 ]]; do case $1 in -u|--user) DOCKER_USER="$2" shift 2 ;; -p|--platform) PLATFORM="$2" shift 2 ;; --no-push) PUSH="no" shift ;; -h|--help) show_help ;; server|frontend|nginx|worker|agent) SELECTED_IMAGES+=("$1") shift ;; *) log_error "未知参数: $1" show_help ;; esac done # ==================== 检查 Docker 登录 ==================== check_docker_login() { if [ "$PUSH" = "yes" ]; then log_info "检查 Docker Hub 登录状态..." if ! docker info 2>/dev/null | grep -q "Username"; then log_warn "未登录 Docker Hub，请先执行: docker login" read -p "是否现在登录？(y/n) " -n 1 -r echo if [[ $REPLY =~ ^[Yy]$ ]]; then docker login else log_error "需要登录才能推送镜像" exit 1 fi fi log_success "Docker Hub 已登录" fi } # ==================== 构建镜像 ==================== build_image() { local name=$1 local dockerfile=$2 local full_name="${DOCKER_USER}/${name}:${VERSION}" log_info "构建镜像: $full_name" log_info " Dockerfile: $dockerfile" # 构建命令 local build_cmd="docker build" # 多架构构建使用 buildx if [ -n "$PLATFORM" ]; then build_cmd="docker buildx build --platform $PLATFORM" if [ "$PUSH" = "yes" ]; then build_cmd="$build_cmd --push" fi fi # 执行构建（只打版本标签，不打 latest） $build_cmd \ -t "$full_name" \ -f "$dockerfile" \ . if [ $? -eq 0 ]; then log_success "构建成功: $full_name" else log_error "构建失败: $full_name" exit 1 fi # 推送（非 buildx 模式） if [ "$PUSH" = "yes" ] && [ -z "$PLATFORM" ]; then log_info "推送镜像: $full_name" docker push "$full_name" log_success "推送成功: $full_name" fi } # ==================== 主流程 ==================== main() { echo "" echo "==========================================" echo " Docker Hub 镜像构建与推送" echo "==========================================" echo "" log_info "用户: $DOCKER_USER" log_warn "版本: ${VERSION}" log_info "推送: $PUSH" [ -n "$PLATFORM" ] && log_info "平台: $PLATFORM" echo "" # 确认版本号，防止误覆盖 if [ "$PUSH" = "yes" ]; then echo -e "${YELLOW}[!] 请确认版本号 ${VERSION} 是否正确${NC}" echo -e "${YELLOW} 如需修改，请打新的 Git Tag: git tag v1.x.x${NC}" 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}" read -p "确认推送？(y/N) " -n 1 -r echo if [[ ! $REPLY =~ ^[Yy]$ ]]; then log_info "已取消" exit 0 fi fi check_docker_login # 切换到项目根目录 cd "$(dirname "$0")" # 如果指定了特定镜像，只构建那些 if [ ${#SELECTED_IMAGES[@]} -gt 0 ]; then for sel in "${SELECTED_IMAGES[@]}"; do for item in "${IMAGES[@]}"; do name="${item%%:*}" dockerfile="${item##*:}" if [[ "$name" == "xingrin-$sel" ]]; then build_image "$name" "$dockerfile" fi done done else # 构建所有镜像 for item in "${IMAGES[@]}"; do name="${item%%:*}" dockerfile="${item##*:}" build_image "$name" "$dockerfile" done fi echo "" echo "==========================================" log_success " 完成！" echo "==========================================" echo "" if [ "$PUSH" = "yes" ]; then log_info "镜像已推送到 Docker Hub:" for item in "${IMAGES[@]}"; do name="${item%%:*}" echo " - docker pull ${DOCKER_USER}/${name}:${VERSION}" done fi } main ================================================ FILE: docs/README.md ================================================ # XingRin - 星环 技术文档 ## 文档目录 ### 架构设计 - [版本管理架构](./version-management.md) - Git Tag 驱动的自动化版本管理系统 - [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 - [字典文件架构](./wordlist-architecture.md) - 字典文件的存储、同步、分发机制 ### 开发指南 - [快速开始](./quick-start.md) - 一键安装和部署指南 - API 文档（🚧 待补充） - 开发环境搭建（🚧 待补充） ### 运维手册 - 故障排查（待补充） - 性能优化（待补充） - 监控告警（待补充） ## 快速导航 ### 常见问题 - **版本不一致**：参考 [版本管理 - 故障排查](./version-management.md#故障排查) - **镜像拉取失败**：检查网络和 Docker Hub 连接 - **远程 Worker 部署**：参考版本管理文档中的部署流程 ### 核心概念 - **IMAGE_TAG**：版本锁定机制，确保所有组件版本一致 - **--pull=missing**：镜像拉取策略，优先使用本地缓存 - **task_distributor**：负载感知任务分发器 ## 贡献指南 ### 文档更新 1. 新增功能时同步更新相关文档 2. 使用 Mermaid 图表描述复杂流程 3. 提供具体的命令示例和配置 ### 文档规范 - 使用中文编写 - 代码块标注语言类型 - 重要概念使用**粗体**标注 - 提供完整的示例和说明 ================================================ FILE: docs/nuclei-template-architecture.md ================================================ # Nuclei 模板管理架构 本文档介绍 XingRin 中 Nuclei 模板的存储、同步和使用机制。 ## 目录结构 ``` /opt/xingrin/nuclei-repos/ ├── nuclei-templates/ # 官方模板仓库（按仓库名命名） │ ├── .git/ │ ├── http/ │ ├── network/ │ └── ... └── custom-repo/ # 自定义模板仓库 ``` ## 一、存储位置 | 配置项 | 默认值 | 说明 | |--------|--------|------| | `NUCLEI_TEMPLATES_REPOS_BASE_DIR` | `/opt/xingrin/nuclei-repos` | 模板仓库根目录 | 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。 ## 二、数据模型 ``` NucleiTemplateRepo ├── id # 仓库 ID ├── name # 仓库名称（用于前端展示和 Worker 查询） ├── repo_url # Git 仓库地址 ├── local_path # 本地克隆路径（自动生成） ├── commit_hash # 当前同步的 commit hash └── last_synced_at # 最后同步时间 ``` ## 三、Server 端同步流程 1. 用户在前端添加模板仓库（填写名称和 Git URL） 2. 点击「同步」触发 `NucleiTemplateRepoService.refresh_repo()` 3. 首次同步：`git clone --depth 1`（浅克隆，节省空间） 4. 后续同步：`git pull --ff-only`（快进合并） 5. 同步成功后更新数据库：`commit_hash`、`last_synced_at` ``` ┌──────────────────────────────────────────────────────────────────────────┐ │ Server 容器 │ │ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ 前端 UI │ │ │ │ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ │ │ │ │ 添加仓库 │ │ 同步仓库 │ │ 浏览模板 │ │ │ │ │ │ name + url │ │ 点击刷新 │ │ 目录树 │ │ │ │ │ └──────┬───────┘ └──────┬───────┘ └──────────────┘ │ │ │ └─────────┼───────────────────┼───────────────────────────────────┘ │ │ │ │ │ │ ▼ ▼ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ NucleiTemplateRepoViewSet │ │ │ │ POST /api/nuclei/repos/ | POST .../refresh/ │ │ │ └─────────────────────────────┬───────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ NucleiTemplateRepoService │ │ │ │ │ │ │ │ ┌────────────────────┐ ┌────────────────────────────────┐ │ │ │ │ │ ensure_local_path()│ │ refresh_repo() │ │ │ │ │ │ 生成本地目录路径 │ │ 执行 Git 同步 │ │ │ │ │ └────────────────────┘ └───────────────┬────────────────┘ │ │ │ └────────────────────────────────────────────┼────────────────────┘ │ │ │ │ │ ┌───────────────┴───────────────┐ │ │ │ │ │ │ ▼ ▼ │ │ ┌─────────────────────┐ ┌─────────────────────┐ │ │ │ 首次同步（无 .git） │ │ 后续同步（有 .git） │ │ │ └──────────┬──────────┘ └──────────┬──────────┘ │ │ │ │ │ │ ▼ ▼ │ │ ┌─────────────────────┐ ┌─────────────────────┐ │ │ │ git clone --depth 1 │ │ git pull --ff-only │ │ │ │ │ │ │ │ │ └──────────┬──────────┘ └──────────┬──────────┘ │ │ │ │ │ │ └──────────────┬─────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────┐ │ │ │ git rev-parse HEAD │ │ │ │ 获取当前 commit hash │ │ │ └──────────────────────────┬──────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ PostgreSQL 数据库 │ │ │ │ │ │ │ │ UPDATE nuclei_template_repo SET │ │ │ │ local_path = '/opt/xingrin/nuclei-repos/xxx', │ │ │ │ commit_hash = 'abc123...', │ │ │ │ last_synced_at = NOW() │ │ │ │ WHERE id = ? │ │ │ └─────────────────────────────────────────────────────────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ 文件系统 │ │ │ │ /opt/xingrin/nuclei-repos/ │ │ │ │ ├── nuclei-templates/ # 官方模板 │ │ │ │ │ ├── .git/ │ │ │ │ │ ├── http/ │ │ │ │ │ ├── network/ │ │ │ │ │ └── ... │ │ │ │ └── custom-repo/ # 自定义模板 │ │ │ └─────────────────────────────────────────────────────────────────┘ │ │ │ └──────────────────────────────────────────────────────────────────────────┘ │ │ git clone / pull ▼ ┌─────────────────────┐ │ GitHub / GitLab │ │ 远程 Git 仓库 │ └─────────────────────┘ ``` ## 四、Worker 端同步流程 Worker 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： 1. 从数据库查询仓库记录，获取 `repo_url` 和 `commit_hash` 2. 检查本地是否存在仓库目录 - 不存在：`git clone --depth 1` - 存在：比较本地 commit hash 与 Server 的 `commit_hash` 3. 如果 commit 不一致：`git fetch` + `git checkout ` 4. 返回本地模板目录路径，供 nuclei 命令使用 ``` ┌──────────────────────────────────────────────────────────────────────────┐ │ Worker 容器 │ │ │ │ ┌─────────────┐ │ │ │ 扫描任务 │ │ │ │ 开始执行 │ │ │ └──────┬──────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────┐ ┌─────────────────────────────────┐ │ │ │ ensure_nuclei_ │ │ PostgreSQL │ │ │ │ templates_local() │─────▶│ 查询 NucleiTemplateRepo 表 │ │ │ │ │ │ 获取 repo_url, commit_hash │ │ │ └───────────┬─────────────┘ └─────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────┐ │ │ │ 检查本地 .git 目录 │ │ │ └───────────┬─────────────┘ │ │ │ │ │ ┌───────┴───────┐ │ │ │ │ │ │ ▼ ▼ │ │ ┌────────┐ ┌────────────┐ │ │ │ 不存在 │ │ 存在 │ │ │ └───┬────┘ └─────┬──────┘ │ │ │ │ │ │ ▼ ▼ │ │ ┌────────────┐ ┌─────────────────────┐ │ │ │ git clone │ │ 比较 commit hash │ │ │ │ --depth 1 │ │ local vs server │ │ │ └─────┬──────┘ └──────────┬──────────┘ │ │ │ │ │ │ │ ┌───────┴───────┐ │ │ │ │ │ │ │ │ ▼ ▼ │ │ │ ┌──────────┐ ┌──────────────┐ │ │ │ │ 一致 │ │ 不一致 │ │ │ │ │ 直接使用 │ │ │ │ │ │ └────┬─────┘ └───────┬──────┘ │ │ │ │ │ │ │ │ │ ▼ │ │ │ │ ┌──────────────────┐ │ │ │ │ │ git fetch origin │ │ │ │ │ │ git checkout │ │ │ │ │ │ │ │ │ │ │ └────────┬─────────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ 返回本地模板目录路径 │ │ │ │ /opt/xingrin/nuclei-repos// │ │ │ └─────────────────────────────────────────────────────────────────┘ │ │ │ │ │ ▼ │ │ ┌─────────────────────────────────────────────────────────────────┐ │ │ │ 执行 nuclei 扫描 │ │ │ │ nuclei -t /opt/xingrin/nuclei-repos/xxx/ -l targets.txt │ │ │ └─────────────────────────────────────────────────────────────────┘ │ │ │ └──────────────────────────────────────────────────────────────────────────┘ ``` ## 五、版本一致性保证 - Server 同步时记录 `commit_hash` - Worker 使用前检查本地 hash 是否与 Server 一致 - 不一致时自动同步到指定 commit - 确保所有节点使用相同版本的模板 ## 六、配置项 在 `docker/.env` 或环境变量中配置： ```bash # Nuclei 模板仓库根目录 NUCLEI_TEMPLATES_REPOS_BASE_DIR=/opt/xingrin/nuclei-repos ``` ## 七、常见问题 ### Q: Worker 报错「未找到模板仓库」？ A: 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。 ### Q: 如何添加自定义模板仓库？ A: 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。 ### Q: 模板更新后 Worker 如何获取最新版本？ A: 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。 ================================================ FILE: docs/plans/2026-03-08-oss-readiness-design.md ================================================ # XingRin OSS Readiness Design **Background** XingRin 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. **Goal** Make the repository clearly and consistently open source, reduce adoption friction, and improve its presentation for open-source program applications such as Codex for OSS. **Non-Goals** - No product feature changes - No backend or frontend behavior changes - No infrastructure refactors - No legal customizations beyond selecting a standard OSI-style license ## Approach Options ### Option 1: Keep GPL-3.0 and clean inconsistencies Pros: - Lowest legal change risk - No relicensing concern if additional contributors exist - Still qualifies as a standard open-source license Cons: - Higher downstream adoption friction - Less aligned with the stated goal of lowering usage barriers ### Option 2: Relicense to MIT and clean inconsistencies **(Recommended)** Pros: - Lowest friction for users, contributors, and evaluators - Simple, familiar, and unambiguous - Best fit for “make OSS status obvious and permissive” goal Cons: - Removes copyleft protection - Requires confidence that relicensing authority is clear ### Option 3: Relicense to Apache-2.0 and clean inconsistencies Pros: - Permissive like MIT - Includes explicit patent grant language - Friendly for organizations evaluating adoption Cons: - Slightly more complex than MIT - Provides little extra benefit for this repository’s immediate application goal ## Chosen Design Adopt `MIT` as the single repository license and perform a full consistency cleanup. ## Scope of Changes 1. Replace the root `LICENSE` with MIT. 2. Update README license badge and legal wording. 3. Add clear “authorized/defensive use only” wording without adding non-open-source usage restrictions. 4. Add `SECURITY.md` with reporting guidance. 5. Add `CONTRIBUTING.md` with contribution process and relicensing note. 6. Add `CODE_OF_CONDUCT.md` using a standard community format. 7. Tighten README positioning for open-source maintenance and legitimate security workflows. 8. Update repository metadata files that expose license information. ## Risks and Mitigations - **Risk: accidental contradiction between permissive license and usage policy** Mitigation: keep “authorized use only” as project policy and ethics guidance, not as extra legal restrictions beyond MIT. - **Risk: relicensing history ambiguity** Mitigation: note contribution licensing expectations in `CONTRIBUTING.md`; rely on maintainer confirmation that substantive contributions are solely owned. - **Risk: repository still looks ambiguous to reviewers** Mitigation: align badge, license file, README language, and community docs in one pass. ## Validation - Search repository for legacy license strings such as `PolyForm`, `Noncommercial`, and stale GPL wording references. - Confirm all newly added markdown files are present and coherent. - Optionally update GitHub repository metadata (description/topics/homepage) to better match the cleaned positioning. ================================================ FILE: docs/plans/2026-03-08-oss-readiness.md ================================================ # XingRin OSS Readiness Implementation Plan > **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task. **Goal:** Make the XingRin repository clearly permissive, internally consistent, and better presented for open-source program applications. **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. **Tech Stack:** Markdown, GitHub repository metadata, standard MIT license text --- ### Task 1: Add repository planning artifacts **Files:** - Create: `docs/plans/2026-03-08-oss-readiness-design.md` - Create: `docs/plans/2026-03-08-oss-readiness.md` **Step 1:** Create the approved design document. **Step 2:** Create the implementation plan. **Step 3:** Verify both files render as plain markdown. ### Task 2: Replace the repository license **Files:** - Modify: `LICENSE` - Check: `frontend/package.json` **Step 1:** Replace GPL-3.0 text with MIT. **Step 2:** Confirm any manifest-level license field is consistent. **Step 3:** Search for stale GPL references. ### Task 3: Clean README licensing and positioning **Files:** - Modify: `README.md` **Step 1:** Replace the stale license badge. **Step 2:** Update the project positioning to emphasize open-source, authorized, defensive use. **Step 3:** Refresh the maintenance/rewrite wording so it reads like active open-source stewardship. **Step 4:** Keep feature content intact while removing contradictory or high-risk phrasing where possible. ### Task 4: Add baseline community and security docs **Files:** - Create: `SECURITY.md` - Create: `CONTRIBUTING.md` - Create: `CODE_OF_CONDUCT.md` **Step 1:** Add vulnerability reporting instructions. **Step 2:** Add contribution workflow and licensing expectations. **Step 3:** Add a standard code of conduct. ### Task 5: Validate repository consistency **Files:** - Check: `README.md` - Check: `LICENSE` - Check: `SECURITY.md` - Check: `CONTRIBUTING.md` - Check: `CODE_OF_CONDUCT.md` **Step 1:** Search for `PolyForm`, `Noncommercial`, and stale GPL references. **Step 2:** Confirm new docs are linked or discoverable. **Step 3:** Review final public-facing text for clarity. ### Task 6: Update GitHub metadata if beneficial **Files:** - External: GitHub repository settings via `gh api` **Step 1:** Update repository description if the current description is too tool-centric or ambiguous. **Step 2:** Keep topics aligned with authorized security and asset management. **Step 3:** Verify metadata reflects the README positioning. ================================================ FILE: docs/quick-start.md ================================================ # 🚀 XingRin - 星环 快速开始 ## 系统要求 ### 硬件要求 - **CPU**: 2 核心以上 - **内存**: 4GB 以上 - **存储**: 20GB 可用空间 - **网络**: 互联网连接（用于拉取 Docker 镜像） ### 软件要求 - **操作系统**: Ubuntu 18.04+ / Debian 10+ - **权限**: sudo 管理员权限 - **端口要求**: 需要开放以下端口 - `8083` - HTTPS 访问（主要访问端口） - `5432` - PostgreSQL 数据库（如使用本地数据库且有远程 Worker） - 后端 API 仅容器内监听 8888，由 nginx 反代到 8083，对公网无需放行 8888 - Redis 仅在 Docker 内部网络使用，无需对外开放 ## 一键安装 ### 1. 下载项目 ```bash git clone https://github.com/你的用户名/xingrin.git cd xingrin ``` ### 2. 执行安装 ```bash # 生产环境安装 sudo ./install.sh # 开发环境安装（本地构建镜像） sudo ./install.sh --dev # 只安装后端（前端单独部署） sudo ./install.sh --no-frontend ``` ### 3. 访问系统 安装完成后，访问： - **Web 界面**: https://你的服务器IP:8083/ **默认账号**： - 用户名: `admin` - 密码: `admin` ⚠️ **首次登录后请立即修改密码！** ## ☁️ 云服务器部署注意事项 ### 端口安全组配置 **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！** #### 必须放行的端口 ``` 8083 - HTTPS 访问（主要访问端口） 5432 - PostgreSQL（如使用本地数据库且有远程 Worker） ``` #### 推荐方案 - **国外 VPS**：如 Vultr、DigitalOcean、Linode 等，默认开放所有端口，无需额外配置 - **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 ⚠️ **重要提醒**：端口未放行会导致： - 无法访问 Web 界面 - 扫描功能异常 - 远程 Worker 连接失败 ## 安装过程说明 ### 自动安装内容 ```mermaid graph TD A[执行 install.sh] --> B[检查系统环境] B --> C[安装 Docker] C --> D[生成配置文件] D --> E[拉取 Docker 镜像] E --> F[启动服务] F --> G[安装完成] style A fill:#e1f5fe style G fill:#e8f5e8 ``` ### 安装步骤详解 1. **环境检查**: 检测操作系统、安装缺失的基础命令 2. **Docker 安装**: 自动安装 Docker 和 docker-compose 3. **配置生成**: 创建 `.env` 配置文件，生成随机密钥 4. **数据库配置**: 支持本地 PostgreSQL 或远程数据库 5. **SSL 证书**: 自动生成自签名 HTTPS 证书 6. **服务启动**: 启动所有容器服务 ## 服务管理 ### 常用命令 ```bash # 启动服务 ./start.sh # 停止服务 ./stop.sh # 重启服务 ./restart.sh # 卸载系统 ./uninstall.sh ``` ### 服务状态检查 ```bash # 查看容器状态 docker ps # 查看服务日志 docker logs xingrin-server docker logs xingrin-frontend docker logs xingrin-nginx docker logs xingrin-agent # 查看系统资源 docker stats ``` ## 配置说明 ### 主要配置文件 ``` docker/.env # 主配置文件 docker/nginx/ssl/ # SSL 证书目录 /opt/xingrin/results/ # 扫描结果存储 /opt/xingrin/logs/ # 系统日志存储 ``` ### 重要配置项 ```bash # 数据库配置 DB_HOST=postgres # 数据库地址 DB_PORT=5432 # 数据库端口 DB_NAME=xingrin # 数据库名称 DB_USER=postgres # 数据库用户 DB_PASSWORD=随机生成 # 数据库密码 # 服务配置 SERVER_PORT=8888 # 后端容器内部端口（仅 Docker 内网监听） PUBLIC_HOST=server # 对外访问地址（远程 Worker 用，配置外网 IP 或域名） DEBUG=False # 调试模式 # 版本配置 IMAGE_TAG=v1.0.0 # 镜像版本（自动设置） ``` ## 远程 Worker 部署 ### 1. 主服务器添加节点 1. 登录 Web 界面 2. 进入 **系统管理** → **Worker 节点** 3. 点击 **添加节点**，填写远程服务器信息： - 节点名称 - IP 地址 - SSH 端口（默认 22） - SSH 用户名 - SSH 密码 ### 2. 一键部署 点击 **部署** 按钮，系统会自动： 1. SSH 连接到远程服务器 2. 安装 Docker 环境 3. 拉取 Worker 镜像 4. 启动 Agent 容器 ### 3. 验证部署 - 节点状态显示为 **在线** - 可以看到节点的 CPU、内存负载 - 任务分发时会自动选择最优节点 ## 故障排查 ### 常见问题 #### 1. 端口被占用 ```bash # 检查端口占用 sudo netstat -tlnp | grep :8083 # 停止占用端口的服务 sudo systemctl stop apache2 # 如果是 Apache sudo systemctl stop nginx # 如果是 Nginx ``` #### 2. Docker 权限问题 ```bash # 添加用户到 docker 组 sudo usermod -aG docker $USER # 重新登录或执行 newgrp docker ``` #### 3. 服务启动失败 ```bash # 查看详细错误日志 docker logs xingrin-server --tail 50 # 检查配置文件 cat docker/.env # 重新生成配置 cp docker/.env.example docker/.env # 重新配置后启动 ``` ### 日志查看 ```bash # 实时查看日志 docker logs -f xingrin-server docker logs -f xingrin-agent # 查看最近日志 docker logs --tail 100 xingrin-server docker logs --tail 100 xingrin-agent # 查看系统日志 tail -f /opt/xingrin/logs/*.log ``` ## 下一步 安装完成后，建议阅读： - [版本管理文档](./version-management.md) - 了解系统更新机制 - [API 文档](./api.md) - 集成开发接口（🚧 待完善） - [最佳实践](./best-practices.md) - 使用建议和优化（🚧 待完善） ## 获得帮助 - 📖 [技术文档](./README.md) - 🐛 [问题反馈](https://github.com/你的用户名/xingrin/issues) - 💬 [讨论区](https://github.com/你的用户名/xingrin/discussions) - 📧 联系邮箱: your-email@example.com ================================================ FILE: docs/scan-flow-architecture.md ================================================ # 扫描流程架构 ## 完整扫描流程 ```mermaid flowchart TB START[Start Scan] TARGET[Input Target] START --> TARGET subgraph STAGE1["Stage 1: Discovery Sequential"] direction TB subgraph SUB["Subdomain Discovery"] direction TB SUBFINDER[subfinder] AMASS[amass] SUBLIST3R[sublist3r] ASSETFINDER[assetfinder] MERGE[Merge & Deduplicate] BRUTEFORCE[puredns bruteforce
    Dictionary Attack] MUTATE[dnsgen + puredns
    Mutation Generation] RESOLVE[puredns resolve
    Alive Verification] SUBFINDER --> MERGE AMASS --> MERGE SUBLIST3R --> MERGE ASSETFINDER --> MERGE MERGE --> BRUTEFORCE BRUTEFORCE --> MUTATE MUTATE --> RESOLVE end subgraph PORT["Port Scan"] NAABU[naabu
    Port Discovery] end subgraph SITE["Site Scan"] HTTPX1[httpx
    Web Service Detection] end subgraph FINGER["Fingerprint Detect"] XINGFINGER[xingfinger
    Tech Stack Detection] end RESOLVE --> NAABU NAABU --> HTTPX1 HTTPX1 --> XINGFINGER end TARGET --> SUBFINDER TARGET --> AMASS TARGET --> SUBLIST3R TARGET --> ASSETFINDER subgraph STAGE2["Stage 2: URL Collection Parallel"] direction TB subgraph URL["URL Fetch"] direction TB WAYMORE[waymore
    Historical URLs] KATANA[katana
    Crawler] URO[uro
    URL Deduplication] HTTPX2[httpx
    Alive Verification] WAYMORE --> URO KATANA --> URO URO --> HTTPX2 end subgraph DIR["Directory Scan"] FFUF[ffuf
    Directory Bruteforce] end end XINGFINGER --> WAYMORE XINGFINGER --> KATANA XINGFINGER --> FFUF subgraph STAGE3["Stage 3: Screenshot Sequential"] direction TB SCREENSHOT[Playwright
    Page Screenshot] end HTTPX2 --> SCREENSHOT FFUF --> SCREENSHOT subgraph STAGE4["Stage 4: Security Checks"] direction TB subgraph VULN["Security Checks"] direction LR DALFOX[dalfox
    XSS Check] NUCLEI[nuclei
    Security Check] end end SCREENSHOT --> DALFOX SCREENSHOT --> NUCLEI DALFOX --> FINISH NUCLEI --> FINISH FINISH[Scan Complete] style START fill:#ff9999 style FINISH fill:#99ff99 style TARGET fill:#ffcc99 style STAGE1 fill:#e6f3ff style STAGE2 fill:#fff4e6 style STAGE3 fill:#ffe6f0 ``` ## 执行阶段定义 ```python # backend/apps/scan/configs/command_templates.py # Stage 1: 资产发现 - 子域名 → 端口 → 站点探测 → 指纹识别 # Stage 2: URL 收集 - URL 获取 + 目录扫描（并行） # Stage 3: 截图 - 在 URL 收集完成后执行，捕获更多发现的页面 # Stage 4: 安全检测 - 最后执行 EXECUTION_STAGES = [ {'mode': 'sequential', 'flows': ['subdomain_discovery', 'port_scan', 'site_scan', 'fingerprint_detect']}, {'mode': 'parallel', 'flows': ['url_fetch', 'directory_scan']}, {'mode': 'sequential', 'flows': ['screenshot']}, {'mode': 'sequential', 'flows': ['vuln_scan']}, ] ``` ## 各阶段输出 | Flow | 工具 | 输出表 | |------|------|--------| | subdomain_discovery | subfinder, amass, sublist3r, assetfinder, puredns | Subdomain | | port_scan | naabu | HostPortMapping | | site_scan | httpx | WebSite | | fingerprint_detect | xingfinger | WebSite.tech（更新） | | url_fetch | waymore, katana, uro, httpx | Endpoint | | directory_scan | ffuf | Directory | | screenshot | Playwright | Screenshot | | vuln_scan | dalfox, nuclei | SecurityFinding | ================================================ FILE: docs/version-management.md ================================================ # XingRin - 星环 版本管理架构 ## 概述 XingRin - 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。 ## 核心原理 ### 版本号来源 - **单一版本源**：Git Tag（如 `v1.1.0`） - **版本文件**：`VERSION` 文件由 CI 自动维护 - **环境变量**：`IMAGE_TAG` 锁定运行时版本 ### 版本一致性保证 ``` Git Tag → CI 构建镜像 → VERSION 文件 → IMAGE_TAG → 所有节点统一版本 ``` ## 完整发布流程 ```mermaid graph TD A[开发完成] --> B[git commit & push] B --> C[git tag v1.1.0] C --> D[git push --tags] D --> E[GitHub Actions 触发] E --> F[构建 5 个镜像] F --> G[推送到 Docker Hub] G --> H[更新 VERSION 文件] H --> I[commit 回 main 分支] style E fill:#e1f5fe style F fill:#f3e5f5 style G fill:#e8f5e8 ``` ### 镜像构建矩阵 | 镜像 | 用途 | 标签 | |------|------|------| | `xingrin-server` | 主服务器 | `v1.1.0` + `latest` | | `xingrin-frontend` | 前端界面 | `v1.1.0` + `latest` | | `xingrin-nginx` | 反向代理 | `v1.1.0` + `latest` | | `xingrin-worker` | 任务执行 | `v1.1.0` + `latest` | | `xingrin-agent` | 心跳监控 | `v1.1.0` + `latest` | ## 用户部署流程 ### 初始安装 ```mermaid graph TD A[用户下载代码] --> B[sudo ./install.sh] B --> C[读取 VERSION 文件] C --> D[写入 docker/.env] D --> E[IMAGE_TAG=v1.1.0] E --> F[拉取对应版本镜像] F --> G[启动服务] style C fill:#fff3e0 style E fill:#e8f5e8 ``` ### 版本更新 ```mermaid graph TD A[./update.sh] --> B[git pull 拉取新代码] B --> C[读取新 VERSION 文件] C --> D[更新 IMAGE_TAG=v1.2.0] D --> E[重启服务] E --> F[使用新版本镜像] style C fill:#fff3e0 style D fill:#e8f5e8 ``` ## 任务分发架构 ### 镜像版本管理 ```mermaid graph LR A[主服务器] --> B[task_distributor] B --> C[本地 Worker] B --> D[远程 Worker 1] B --> E[远程 Worker N] F[settings.IMAGE_TAG] --> B B --> G[yyhuni/xingrin-worker:v1.1.0] G --> C G --> D G --> E style F fill:#e1f5fe style G fill:#f3e5f5 ``` ### 执行流程对比 | 场景 | 镜像拉取策略 | 说明 | |------|-------------|------| | **本地 Worker** | `--pull=missing` | 主服务器本机执行，使用本地镜像 | | **远程 Worker** | `--pull=missing` | SSH 到远程执行，使用远程本地镜像 | ## 镜像拉取策略 ### 安装时预拉取 ```bash # 主服务器安装 docker compose up -d # 拉取所有服务镜像 # 远程 Worker 安装 docker pull yyhuni/xingrin-worker:v1.1.0 # 预拉取 worker 镜像 ``` ### 执行时策略 ```bash # 任务执行时 docker run --pull=missing yyhuni/xingrin-worker:v1.1.0 ``` **`--pull=missing` 行为**： - ✅ 本地有镜像 → 直接使用，不检查网络 - ✅ 本地无镜像 → 从 Docker Hub 拉取 - ✅ 版本更新后 → 自动拉取新版本 ## 版本同步机制 ### 主服务器更新 ```mermaid sequenceDiagram participant U as 用户 participant S as 主服务器 participant H as Docker Hub participant W as 远程 Worker U->>S: ./update.sh S->>S: git pull (新 VERSION) S->>S: IMAGE_TAG=v1.2.0 S->>S: 重启服务 Note over S: 分发任务时 S->>W: SSH docker run worker:v1.2.0 W->>H: 本地无 v1.2.0，拉取镜像 H->>W: 返回 v1.2.0 镜像 W->>W: 执行任务 ``` ### 版本一致性保证 1. **主服务器**：`IMAGE_TAG` 锁定版本 2. **远程 Worker**：按需拉取对应版本 3. **自动同步**：update.sh 统一更新版本号 ## Agent 自动更新机制 ### 概述 Agent 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。 ### 版本检测流程 ```mermaid sequenceDiagram participant A as Agent participant S as Server participant H as Docker Hub A->>S: POST /api/workers/{id}/heartbeat/ Note right of A: {"cpu": 50, "mem": 60, "version": "v1.0.8"} S->>S: 比较 agent_version vs IMAGE_TAG alt 版本匹配 S->>A: {"status": "ok", "need_update": false} else 版本不匹配 (远程 Worker) S->>S: 设置状态为 updating S->>A: {"status": "ok", "need_update": true} S-->>H: SSH: docker pull agent:v1.0.19 S-->>A: SSH: 重启 agent 容器 else 版本不匹配 (本地 Worker) S->>S: 设置状态为 outdated S->>A: {"status": "ok", "need_update": true} Note over S: 需用户手动 ./update.sh end ``` ### Worker 状态流转 | 场景 | 状态变化 | 说明 | |------|---------|------| | 首次心跳 | `pending/deploying` → `online` | Agent 启动成功 | | 远程 Worker 版本不匹配 | `online` → `updating` → `online` | 服务端自动 SSH 更新 | | 远程 Worker 更新失败 | `updating` → `outdated` | SSH 执行失败 | | 本地 Worker 版本不匹配 | `online` → `outdated` | 需手动 update.sh | | 版本匹配 | `updating/outdated` → `online` | 恢复正常 | ### 更新触发条件 1. **远程 Worker**：服务端检测到版本不匹配时，自动通过 SSH 执行更新 2. **本地 Worker**：用户执行 `./update.sh` 时，docker-compose 会拉取新镜像并重启 ### 防重复机制 使用 Redis 锁防止同一 Worker 在 60 秒内重复触发更新： ``` lock_key = f"agent_update_lock:{worker_id}" redis.set(lock_key, "1", nx=True, ex=60) ``` ### 相关文件 | 文件 | 作用 | |------|------| | `backend/apps/engine/views/worker_views.py` | 心跳 API，版本检测和更新触发 | | `backend/scripts/worker-deploy/agent.sh` | Agent 心跳脚本，上报版本号 | | `backend/scripts/worker-deploy/start-agent.sh` | Agent 启动脚本 | | `docker/agent/Dockerfile` | Agent 镜像构建，注入 IMAGE_TAG | ## 开发环境配置 ### 本地开发测试 ```bash # docker/.env 中添加（开发模式会自动设置） TASK_EXECUTOR_IMAGE=docker-worker:v1.1.0-dev # 指向本地构建镜像 ``` ### 开发模式启动 ```bash # 使用本地构建镜像（自动构建并标记为 ${VERSION}-dev） ./install.sh --dev ./start.sh --dev ``` ## 配置文件说明 ### VERSION 文件 ``` v1.1.0 ``` - 由 CI 自动维护 - 用户安装时读取此文件 ### docker/.env ```bash IMAGE_TAG=v1.1.0 # 锁定版本 TASK_EXECUTOR_IMAGE= # 可选：覆盖镜像名 ``` ### settings.py 逻辑 ```python if IMAGE_TAG: # 主服务器：构建镜像名 TASK_EXECUTOR_IMAGE = f'{DOCKER_USER}/xingrin-worker:{IMAGE_TAG}' else: # Worker 容器：不需要此配置 TASK_EXECUTOR_IMAGE = '' ``` ## Agent 自动更新机制 ### 概述 Agent 是运行在每个 Worker 节点上的轻量级心跳服务，负责上报节点状态和负载信息。当主服务器更新后，Agent 需要同步更新以保持版本一致。 ### 版本检测流程 ### 版本不一致问题 **症状**：任务执行失败，兼容性错误 **排查**： ```bash # 检查主服务器版本 cat VERSION grep IMAGE_TAG docker/.env # 检查远程 Worker 镜像 ssh worker_host "docker images | grep xingrin-worker" ``` **解决**： ```bash # 主服务器更新 ./update.sh # 远程 Worker 会自动拉取新版本（下次任务执行时） ``` ### 镜像拉取失败 **症状**：`docker run` 报错，无法拉取镜像 **排查**： ```bash # 检查网络连接 docker pull yyhuni/xingrin-worker:v1.1.0 # 检查版本是否存在 curl -s https://hub.docker.com/v2/repositories/yyhuni/xingrin-worker/tags/ ``` ## 最佳实践 ### 版本发布 1. ✅ 严格遵循语义化版本（v1.2.3） 2. ✅ 有改动必须更新版本号 3. ✅ 通过 CI 自动构建，不手动推送 4. ✅ 测试版本使用 `-dev.x` 后缀 ### 部署运维 1. ✅ 定期执行 `./update.sh` 获取更新 2. ✅ 监控 Docker Hub 镜像拉取状态 3. ✅ 备份重要配置文件（.env） 4. ✅ 使用 `docker system prune` 清理旧镜像 ### 开发调试 1. ✅ 本地测试使用 `--dev` 模式（自动构建 `docker-worker:${VERSION}-dev`） 2. ✅ 远程测试先推送测试版本到 Hub 3. ✅ 生产环境避免使用 `latest` 标签，始终使用明确版本号 4. ✅ 开发环境使用 `-dev` 后缀区分开发版本 5. ✅ 版本回滚通过修改 `IMAGE_TAG` 实现 ================================================ FILE: docs/wordlist-architecture.md ================================================ # 字典文件管理架构 本文档介绍 XingRin 中字典文件的存储、同步和使用机制。 ## 目录结构 ``` /opt/xingrin/wordlists/ ├── common.txt # 通用字典 ├── subdomains.txt # 子域名字典 ├── directories.txt # 目录字典 └── ... ``` ## 一、存储位置 | 配置项 | 默认值 | 说明 | |--------|--------|------| | `WORDLISTS_BASE_PATH` | `/opt/xingrin/wordlists` | 字典文件存储目录 | ## 二、数据模型 ``` Wordlist ├── id # 字典 ID ├── name # 字典名称（唯一，用于查询） ├── description # 描述 ├── file_path # 文件绝对路径 ├── file_size # 文件大小（字节） ├── line_count # 行数 └── file_hash # SHA256 哈希值（用于校验） ``` ## 三、Server 端上传流程 1. 用户在前端上传字典文件 2. `WordlistService.create_wordlist()` 处理： - 保存文件到 `WORDLISTS_BASE_PATH` 目录 - 计算 SHA256 哈希值 - 统计文件大小和行数 - 创建数据库记录 ```mermaid flowchart TB subgraph SERVER["🖥️ Server 容器"] direction TB subgraph UI["前端 UI"] direction LR UPLOAD["📤 上传字典
    选择文件"] EDIT["✏️ 编辑内容
    在线修改"] DELETE["🗑️ 删除字典"] end UPLOAD --> API EDIT --> API subgraph API["API 层"] VIEWSET["WordlistViewSet
    POST /api/wordlists/
    PUT .../content/"] end API --> SERVICE subgraph SERVICE["业务逻辑层"] CREATE["create_wordlist()
    创建字典"] UPDATE["update_wordlist_content()
    更新字典内容"] end CREATE --> PROCESS UPDATE --> PROCESS subgraph PROCESS["处理流程"] direction TB STEP1["1️⃣ 保存文件到
    /opt/xingrin/wordlists/"] STEP2["2️⃣ 计算 SHA256 哈希值"] STEP3["3️⃣ 统计文件大小和行数"] STEP4["4️⃣ 创建/更新数据库记录"] STEP1 --> STEP2 STEP2 --> STEP3 STEP3 --> STEP4 end STEP4 --> DB STEP1 --> FS subgraph DB["💾 PostgreSQL 数据库"] DBRECORD["INSERT INTO wordlist
    name: 'subdomains'
    file_path: '/opt/xingrin/wordlists/subdomains.txt'
    file_size: 1024000
    line_count: 50000
    file_hash: 'sha256...'"] end subgraph FS["📁 文件系统"] FILES["/opt/xingrin/wordlists/
    ├── common.txt
    ├── subdomains.txt
    └── directories.txt"] end end style SERVER fill:#e6f3ff style UI fill:#fff4e6 style API fill:#f0f0f0 style SERVICE fill:#d4edda style PROCESS fill:#ffe6f0 style DB fill:#cce5ff style FS fill:#e2e3e5 ``` ## 四、Worker 端获取流程 Worker 执行扫描任务时，通过 `ensure_wordlist_local()` 获取字典： 1. 根据字典名称查询数据库，获取 `file_path` 和 `file_hash` 2. 检查本地是否存在字典文件 - 存在且 hash 匹配：直接使用 - 存在但 hash 不匹配：重新下载 - 不存在：从 Server API 下载 3. 下载地址：`GET /api/wordlists/download/?wordlist=` 4. 返回本地字典文件路径 ```mermaid flowchart TB subgraph WORKER["🔧 Worker 容器"] direction TB START["🎯 扫描任务
    需要字典"] START --> ENSURE ENSURE["ensure_wordlist_local()
    参数: wordlist_name"] ENSURE --> QUERY QUERY["📊 查询 PostgreSQL
    获取 file_path, file_hash"] QUERY --> CHECK CHECK{"🔍 检查本地文件
    /opt/xingrin/wordlists/"} CHECK -->|不存在| DOWNLOAD CHECK -->|存在| HASH HASH["🔐 计算本地文件 SHA256
    与数据库 hash 比较"] HASH -->|一致| USE HASH -->|不一致| DOWNLOAD DOWNLOAD["📥 从 Server API 下载
    GET /api/wordlists/download/?wordlist=name"] DOWNLOAD --> SERVER SERVER["🌐 HTTP Request"] SERVER -.请求.-> API["Server (Django)
    返回文件内容"] API -.响应.-> SERVER SERVER --> SAVE SAVE["💾 保存到本地
    /opt/xingrin/wordlists/filename"] SAVE --> RETURN USE["✅ 直接使用"] --> RETURN RETURN["📂 返回本地字典文件路径
    /opt/xingrin/wordlists/subdomains.txt"] RETURN --> EXEC EXEC["🚀 执行扫描工具
    puredns bruteforce -w /opt/xingrin/wordlists/xxx.txt"] end style WORKER fill:#e6f3ff style START fill:#fff4e6 style CHECK fill:#ffe6f0 style HASH fill:#ffe6f0 style USE fill:#d4edda style DOWNLOAD fill:#f8d7da style RETURN fill:#d4edda style EXEC fill:#cce5ff ``` ## 五、Hash 校验机制 - 上传时计算 SHA256 并存入数据库 - Worker 使用前校验本地文件 hash - 不匹配时自动重新下载 - 确保所有节点使用相同内容的字典 ## 六、本地 Worker vs 远程 Worker 本地 Worker 和远程 Worker 获取字典的方式相同： 1. 从数据库查询字典元数据（file_hash） 2. 检查本地缓存是否存在且 hash 匹配 3. 不匹配则通过 HTTP API 下载 **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。 ```mermaid sequenceDiagram participant W as Worker (本地/远程) participant DB as PostgreSQL participant S as Server API participant FS as 本地缓存 W->>DB: 1️⃣ 查询数据库获取 file_hash DB-->>W: 返回 file_hash W->>FS: 2️⃣ 检查本地缓存 alt 存在且 hash 匹配 FS-->>W: ✅ 直接使用 else 不存在或不匹配 W->>S: 3️⃣ GET /api/wordlists/download/ S-->>W: 4️⃣ 返回文件内容 W->>FS: 5️⃣ 保存到本地缓存
    /opt/xingrin/wordlists/ FS-->>W: ✅ 使用缓存文件 end 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） ``` ### 本地 Worker 的优势 虽然获取方式相同，但本地 Worker 有以下优势： - 网络延迟更低（容器内网络） - 下载后的缓存可复用（同一宿主机上的多次任务） ## 七、配置项 在 `docker/.env` 或环境变量中配置： ```bash # 字典文件存储目录 WORDLISTS_PATH=/opt/xingrin/wordlists # Server 地址（Worker 用于下载文件） PUBLIC_HOST=your-server-ip # 远程 Worker 会通过 https://{PUBLIC_HOST}/api 访问 SERVER_PORT=8888 # 后端容器内部端口，仅 Docker 内网监听 ``` ## 八、常见问题 ### Q: 字典文件更新后 Worker 没有使用新版本？ A: 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。 ### Q: 远程 Worker 下载文件失败？ A: 检查： 1. `PUBLIC_HOST` 是否配置为 Server 的外网 IP 或域名 2. Nginx 8083 (HTTPS) 是否可达（远程 Worker 通过 nginx 访问后端） 3. Worker 到 Server 的网络是否通畅 ### Q: 如何批量导入字典？ A: 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。 ================================================ FILE: frontend/.gitignore ================================================ # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. # dependencies /node_modules /.pnp .pnp.* .yarn/* !.yarn/patches !.yarn/plugins !.yarn/releases !.yarn/versions # testing /coverage # next.js /.next/ /out/ # production /build # misc .DS_Store *.pem # debug npm-debug.log* yarn-debug.log* yarn-error.log* .pnpm-debug.log* # env files (can opt-in for committing if needed) .env* # vercel .vercel # typescript *.tsbuildinfo next-env.d.ts certificates ================================================ FILE: frontend/app/[locale]/dashboard/data.json ================================================ [ { "id": 1, "header": "Cover page", "type": "Cover page", "status": "In Process", "target": "18", "limit": "5", "reviewer": "Eddie Lake" }, { "id": 2, "header": "Table of contents", "type": "Table of contents", "status": "Done", "target": "29", "limit": "24", "reviewer": "Eddie Lake" }, { "id": 3, "header": "Executive summary", "type": "Narrative", "status": "Done", "target": "10", "limit": "13", "reviewer": "Eddie Lake" }, { "id": 4, "header": "Technical approach", "type": "Narrative", "status": "Done", "target": "27", "limit": "23", "reviewer": "Jamik Tashpulatov" }, { "id": 5, "header": "Design", "type": "Narrative", "status": "In Process", "target": "2", "limit": "16", "reviewer": "Jamik Tashpulatov" }, { "id": 6, "header": "Capabilities", "type": "Narrative", "status": "In Process", "target": "20", "limit": "8", "reviewer": "Jamik Tashpulatov" }, { "id": 7, "header": "Integration with existing systems", "type": "Narrative", "status": "In Process", "target": "19", "limit": "21", "reviewer": "Jamik Tashpulatov" }, { "id": 8, "header": "Innovation and Advantages", "type": "Narrative", "status": "Done", "target": "25", "limit": "26", "reviewer": "Assign reviewer" }, { "id": 9, "header": "Overview of EMR's Innovative Solutions", "type": "Technical content", "status": "Done", "target": "7", "limit": "23", "reviewer": "Assign reviewer" }, { "id": 10, "header": "Advanced Algorithms and Machine Learning", "type": "Narrative", "status": "Done", "target": "30", "limit": "28", "reviewer": "Assign reviewer" }, { "id": 11, "header": "Adaptive Communication Protocols", "type": "Narrative", "status": "Done", "target": "9", "limit": "31", "reviewer": "Assign reviewer" }, { "id": 12, "header": "Advantages Over Current Technologies", "type": "Narrative", "status": "Done", "target": "12", "limit": "0", "reviewer": "Assign reviewer" }, { "id": 13, "header": "Past Performance", "type": "Narrative", "status": "Done", "target": "22", "limit": "33", "reviewer": "Assign reviewer" }, { "id": 14, "header": "Customer Feedback and Satisfaction Levels", "type": "Narrative", "status": "Done", "target": "15", "limit": "34", "reviewer": "Assign reviewer" }, { "id": 15, "header": "Implementation Challenges and Solutions", "type": "Narrative", "status": "Done", "target": "3", "limit": "35", "reviewer": "Assign reviewer" }, { "id": 16, "header": "Security Measures and Data Protection Policies", "type": "Narrative", "status": "In Process", "target": "6", "limit": "36", "reviewer": "Assign reviewer" }, { "id": 17, "header": "Scalability and Future Proofing", "type": "Narrative", "status": "Done", "target": "4", "limit": "37", "reviewer": "Assign reviewer" }, { "id": 18, "header": "Cost-Benefit Analysis", "type": "Plain language", "status": "Done", "target": "14", "limit": "38", "reviewer": "Assign reviewer" }, { "id": 19, "header": "User Training and Onboarding Experience", "type": "Narrative", "status": "Done", "target": "17", "limit": "39", "reviewer": "Assign reviewer" }, { "id": 20, "header": "Future Development Roadmap", "type": "Narrative", "status": "Done", "target": "11", "limit": "40", "reviewer": "Assign reviewer" }, { "id": 21, "header": "System Architecture Overview", "type": "Technical content", "status": "In Process", "target": "24", "limit": "18", "reviewer": "Maya Johnson" }, { "id": 22, "header": "Risk Management Plan", "type": "Narrative", "status": "Done", "target": "15", "limit": "22", "reviewer": "Carlos Rodriguez" }, { "id": 23, "header": "Compliance Documentation", "type": "Legal", "status": "In Process", "target": "31", "limit": "27", "reviewer": "Sarah Chen" }, { "id": 24, "header": "API Documentation", "type": "Technical content", "status": "Done", "target": "8", "limit": "12", "reviewer": "Raj Patel" }, { "id": 25, "header": "User Interface Mockups", "type": "Visual", "status": "In Process", "target": "19", "limit": "25", "reviewer": "Leila Ahmadi" }, { "id": 26, "header": "Database Schema", "type": "Technical content", "status": "Done", "target": "22", "limit": "20", "reviewer": "Thomas Wilson" }, { "id": 27, "header": "Testing Methodology", "type": "Technical content", "status": "In Process", "target": "17", "limit": "14", "reviewer": "Assign reviewer" }, { "id": 28, "header": "Deployment Strategy", "type": "Narrative", "status": "Done", "target": "26", "limit": "30", "reviewer": "Eddie Lake" }, { "id": 29, "header": "Budget Breakdown", "type": "Financial", "status": "In Process", "target": "13", "limit": "16", "reviewer": "Jamik Tashpulatov" }, { "id": 30, "header": "Market Analysis", "type": "Research", "status": "Done", "target": "29", "limit": "32", "reviewer": "Sophia Martinez" }, { "id": 31, "header": "Competitor Comparison", "type": "Research", "status": "In Process", "target": "21", "limit": "19", "reviewer": "Assign reviewer" }, { "id": 32, "header": "Maintenance Plan", "type": "Technical content", "status": "Done", "target": "16", "limit": "23", "reviewer": "Alex Thompson" }, { "id": 33, "header": "User Personas", "type": "Research", "status": "In Process", "target": "27", "limit": "24", "reviewer": "Nina Patel" }, { "id": 34, "header": "Accessibility Compliance", "type": "Legal", "status": "Done", "target": "18", "limit": "21", "reviewer": "Assign reviewer" }, { "id": 35, "header": "Performance Metrics", "type": "Technical content", "status": "In Process", "target": "23", "limit": "26", "reviewer": "David Kim" }, { "id": 36, "header": "Disaster Recovery Plan", "type": "Technical content", "status": "Done", "target": "14", "limit": "17", "reviewer": "Jamik Tashpulatov" }, { "id": 37, "header": "Third-party Integrations", "type": "Technical content", "status": "In Process", "target": "25", "limit": "28", "reviewer": "Eddie Lake" }, { "id": 38, "header": "User Feedback Summary", "type": "Research", "status": "Done", "target": "20", "limit": "15", "reviewer": "Assign reviewer" }, { "id": 39, "header": "Localization Strategy", "type": "Narrative", "status": "In Process", "target": "12", "limit": "19", "reviewer": "Maria Garcia" }, { "id": 40, "header": "Mobile Compatibility", "type": "Technical content", "status": "Done", "target": "28", "limit": "31", "reviewer": "James Wilson" }, { "id": 41, "header": "Data Migration Plan", "type": "Technical content", "status": "In Process", "target": "19", "limit": "22", "reviewer": "Assign reviewer" }, { "id": 42, "header": "Quality Assurance Protocols", "type": "Technical content", "status": "Done", "target": "30", "limit": "33", "reviewer": "Priya Singh" }, { "id": 43, "header": "Stakeholder Analysis", "type": "Research", "status": "In Process", "target": "11", "limit": "14", "reviewer": "Eddie Lake" }, { "id": 44, "header": "Environmental Impact Assessment", "type": "Research", "status": "Done", "target": "24", "limit": "27", "reviewer": "Assign reviewer" }, { "id": 45, "header": "Intellectual Property Rights", "type": "Legal", "status": "In Process", "target": "17", "limit": "20", "reviewer": "Sarah Johnson" }, { "id": 46, "header": "Customer Support Framework", "type": "Narrative", "status": "Done", "target": "22", "limit": "25", "reviewer": "Jamik Tashpulatov" }, { "id": 47, "header": "Version Control Strategy", "type": "Technical content", "status": "In Process", "target": "15", "limit": "18", "reviewer": "Assign reviewer" }, { "id": 48, "header": "Continuous Integration Pipeline", "type": "Technical content", "status": "Done", "target": "26", "limit": "29", "reviewer": "Michael Chen" }, { "id": 49, "header": "Regulatory Compliance", "type": "Legal", "status": "In Process", "target": "13", "limit": "16", "reviewer": "Assign reviewer" }, { "id": 50, "header": "User Authentication System", "type": "Technical content", "status": "Done", "target": "28", "limit": "31", "reviewer": "Eddie Lake" }, { "id": 51, "header": "Data Analytics Framework", "type": "Technical content", "status": "In Process", "target": "21", "limit": "24", "reviewer": "Jamik Tashpulatov" }, { "id": 52, "header": "Cloud Infrastructure", "type": "Technical content", "status": "Done", "target": "16", "limit": "19", "reviewer": "Assign reviewer" }, { "id": 53, "header": "Network Security Measures", "type": "Technical content", "status": "In Process", "target": "29", "limit": "32", "reviewer": "Lisa Wong" }, { "id": 54, "header": "Project Timeline", "type": "Planning", "status": "Done", "target": "14", "limit": "17", "reviewer": "Eddie Lake" }, { "id": 55, "header": "Resource Allocation", "type": "Planning", "status": "In Process", "target": "27", "limit": "30", "reviewer": "Assign reviewer" }, { "id": 56, "header": "Team Structure and Roles", "type": "Planning", "status": "Done", "target": "20", "limit": "23", "reviewer": "Jamik Tashpulatov" }, { "id": 57, "header": "Communication Protocols", "type": "Planning", "status": "In Process", "target": "15", "limit": "18", "reviewer": "Assign reviewer" }, { "id": 58, "header": "Success Metrics", "type": "Planning", "status": "Done", "target": "30", "limit": "33", "reviewer": "Eddie Lake" }, { "id": 59, "header": "Internationalization Support", "type": "Technical content", "status": "In Process", "target": "23", "limit": "26", "reviewer": "Jamik Tashpulatov" }, { "id": 60, "header": "Backup and Recovery Procedures", "type": "Technical content", "status": "Done", "target": "18", "limit": "21", "reviewer": "Assign reviewer" }, { "id": 61, "header": "Monitoring and Alerting System", "type": "Technical content", "status": "In Process", "target": "25", "limit": "28", "reviewer": "Daniel Park" }, { "id": 62, "header": "Code Review Guidelines", "type": "Technical content", "status": "Done", "target": "12", "limit": "15", "reviewer": "Eddie Lake" }, { "id": 63, "header": "Documentation Standards", "type": "Technical content", "status": "In Process", "target": "27", "limit": "30", "reviewer": "Jamik Tashpulatov" }, { "id": 64, "header": "Release Management Process", "type": "Planning", "status": "Done", "target": "22", "limit": "25", "reviewer": "Assign reviewer" }, { "id": 65, "header": "Feature Prioritization Matrix", "type": "Planning", "status": "In Process", "target": "19", "limit": "22", "reviewer": "Emma Davis" }, { "id": 66, "header": "Technical Debt Assessment", "type": "Technical content", "status": "Done", "target": "24", "limit": "27", "reviewer": "Eddie Lake" }, { "id": 67, "header": "Capacity Planning", "type": "Planning", "status": "In Process", "target": "21", "limit": "24", "reviewer": "Jamik Tashpulatov" }, { "id": 68, "header": "Service Level Agreements", "type": "Legal", "status": "Done", "target": "26", "limit": "29", "reviewer": "Assign reviewer" } ] ================================================ FILE: frontend/app/[locale]/dashboard/page.tsx ================================================ import { DashboardStatCards } from "@/components/dashboard/dashboard-stat-cards" import { AssetTrendChart } from "@/components/dashboard/asset-trend-chart" import { VulnSeverityChart } from "@/components/dashboard/vuln-severity-chart" import { DashboardDataTable } from "@/components/dashboard/dashboard-data-table" /** * Dashboard page component * This is the main dashboard page of the application, containing cards, charts and data tables * Layout structure has been moved to the root layout component */ export default function Page() { return ( // Content area containing cards, charts and data tables
    {/* Top statistics cards */} {/* Chart area - Trend chart + Vulnerability distribution */}
    {/* Asset trend line chart */} {/* Vulnerability severity distribution */}
    {/* Vulnerabilities / Scan history tab */}
    ) } ================================================ FILE: frontend/app/[locale]/layout.tsx ================================================ import type React from "react" import type { Metadata } from "next" import { NextIntlClientProvider } from 'next-intl' import { getMessages, setRequestLocale, getTranslations } from 'next-intl/server' import { notFound } from 'next/navigation' import { locales, localeHtmlLang, type Locale } from '@/i18n/config' // Import global style files import "../globals.css" // Import Noto Sans SC local font import "@fontsource/noto-sans-sc/400.css" import "@fontsource/noto-sans-sc/500.css" import "@fontsource/noto-sans-sc/700.css" // Import color themes import "@/styles/themes/bubblegum.css" import "@/styles/themes/quantum-rose.css" import "@/styles/themes/clean-slate.css" import "@/styles/themes/cosmic-night.css" import "@/styles/themes/vercel.css" import "@/styles/themes/vercel-dark.css" import "@/styles/themes/violet-bloom.css" import "@/styles/themes/cyberpunk-1.css" import { Suspense } from "react" import Script from "next/script" import { QueryProvider } from "@/components/providers/query-provider" import { ThemeProvider } from "@/components/providers/theme-provider" import { UiI18nProvider } from "@/components/providers/ui-i18n-provider" // Import common layout components import { RoutePrefetch } from "@/components/route-prefetch" import { RouteProgress } from "@/components/route-progress" import { AuthLayout } from "@/components/auth/auth-layout" // Dynamically generate metadata export async function generateMetadata({ params }: { params: Promise<{ locale: string }> }): Promise { const { locale } = await params const t = await getTranslations({ locale, namespace: 'metadata' }) return { title: t('title'), description: t('description'), keywords: t('keywords').split(',').map(k => k.trim()), generator: "Xingrin ASM Platform", authors: [{ name: "yyhuni" }], openGraph: { title: t('ogTitle'), description: t('ogDescription'), type: "website", locale: locale === 'zh' ? 'zh_CN' : 'en_US', }, robots: { index: true, follow: true, }, } } // Use Noto Sans SC + system font fallback, fully loaded locally const fontConfig = { className: "font-sans", style: { fontFamily: "'Noto Sans SC', system-ui, -apple-system, PingFang SC, Hiragino Sans GB, Microsoft YaHei, sans-serif" } } // Generate static parameters, support all languages export function generateStaticParams() { return locales.map((locale) => ({ locale })) } interface Props { children: React.ReactNode params: Promise<{ locale: string }> } /** * Language layout component * Wraps all pages, provides internationalization context */ export default async function LocaleLayout({ children, params, }: Props) { const { locale } = await params // Validate locale validity if (!locales.includes(locale as Locale)) { notFound() } // Enable static rendering setRequestLocale(locale) // Load translation messages const messages = await getMessages() return ( {/* Load external scripts */} ', param: 'q', payload: '', evidence: '', cwe: 'CWE-79', }, createdAt: '2024-12-28T10:30:00Z', }, { id: 2, target: 1, url: 'https://api.acme.com/v1/users', vulnType: 'CVE-2024-1234', severity: 'high', source: 'nuclei', cvssScore: 8.5, description: 'SQL Injection in user API endpoint', rawOutput: { 'template-id': 'CVE-2024-1234', 'matched-at': 'https://api.acme.com/v1/users', host: 'api.acme.com', info: { name: 'SQL Injection', description: 'SQL injection vulnerability in user endpoint', severity: 'high', tags: ['sqli', 'cve'], reference: ['https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-1234'], classification: { 'cve-id': 'CVE-2024-1234', 'cwe-id': ['CWE-89'], }, }, }, createdAt: '2024-12-28T10:45:00Z', }, { id: 3, target: 1, url: 'https://acme.com/login', vulnType: 'xss-stored', severity: 'high', source: 'dalfox', cvssScore: 8.2, description: 'Stored XSS in user profile', rawOutput: { type: 'S', inject_type: 'inHTML-TAG', method: 'POST', param: 'bio', payload: '', }, createdAt: '2024-12-27T14:20:00Z', }, { id: 4, target: 2, url: 'https://acme.io/api/config', vulnType: 'information-disclosure', severity: 'medium', source: 'nuclei', cvssScore: 5.3, description: 'Exposed configuration file', rawOutput: { 'template-id': 'exposed-config', 'matched-at': 'https://acme.io/api/config', host: 'acme.io', info: { name: 'Exposed Configuration', description: 'Configuration file accessible without authentication', severity: 'medium', tags: ['exposure', 'config'], }, }, createdAt: '2024-12-27T15:00:00Z', }, { id: 5, target: 3, url: 'https://techstart.io/admin', vulnType: 'open-redirect', severity: 'medium', source: 'nuclei', cvssScore: 4.7, description: 'Open redirect vulnerability', rawOutput: { 'template-id': 'open-redirect', 'matched-at': 'https://techstart.io/admin?redirect=evil.com', host: 'techstart.io', info: { name: 'Open Redirect', description: 'URL redirect without validation', severity: 'medium', tags: ['redirect'], }, }, createdAt: '2024-12-26T09:30:00Z', }, { id: 6, target: 4, url: 'https://globalfinance.com/.git/config', vulnType: 'git-config-exposure', severity: 'high', source: 'nuclei', cvssScore: 7.5, description: 'Git configuration file exposed', rawOutput: { 'template-id': 'git-config', 'matched-at': 'https://globalfinance.com/.git/config', host: 'globalfinance.com', info: { name: 'Git Config Exposure', description: 'Git configuration file is publicly accessible', severity: 'high', tags: ['git', 'exposure'], }, }, createdAt: '2024-12-25T11:15:00Z', }, { id: 7, target: 8, url: 'https://retailmax.com/product?id=1', vulnType: 'sqli', severity: 'critical', source: 'nuclei', cvssScore: 9.8, description: 'SQL Injection in product parameter', rawOutput: { 'template-id': 'generic-sqli', 'matched-at': "https://retailmax.com/product?id=1'", host: 'retailmax.com', info: { name: 'SQL Injection', description: 'SQL injection in product ID parameter', severity: 'critical', tags: ['sqli'], classification: { 'cwe-id': ['CWE-89'], }, }, }, createdAt: '2024-12-21T12:00:00Z', }, { id: 8, target: 1, url: 'https://acme.com/robots.txt', vulnType: 'robots-txt-exposure', severity: 'info', source: 'nuclei', description: 'Robots.txt file found', rawOutput: { 'template-id': 'robots-txt', 'matched-at': 'https://acme.com/robots.txt', host: 'acme.com', info: { name: 'Robots.txt', description: 'Robots.txt file detected', severity: 'info', tags: ['misc'], }, }, createdAt: '2024-12-28T10:00:00Z', }, { id: 9, target: 2, url: 'https://acme.io/sitemap.xml', vulnType: 'sitemap-exposure', severity: 'info', source: 'nuclei', description: 'Sitemap.xml file found', rawOutput: { 'template-id': 'sitemap-xml', 'matched-at': 'https://acme.io/sitemap.xml', host: 'acme.io', info: { name: 'Sitemap.xml', description: 'Sitemap.xml file detected', severity: 'info', tags: ['misc'], }, }, createdAt: '2024-12-27T14:00:00Z', }, { id: 10, target: 3, url: 'https://techstart.io/api/v2/debug', vulnType: 'debug-endpoint', severity: 'low', source: 'nuclei', cvssScore: 3.1, description: 'Debug endpoint exposed', rawOutput: { 'template-id': 'debug-endpoint', 'matched-at': 'https://techstart.io/api/v2/debug', host: 'techstart.io', info: { name: 'Debug Endpoint', description: 'Debug endpoint accessible in production', severity: 'low', tags: ['debug', 'exposure'], }, }, createdAt: '2024-12-26T10:00:00Z', }, ] export function getMockVulnerabilities(params?: { page?: number pageSize?: number targetId?: number severity?: VulnerabilitySeverity search?: string }): GetVulnerabilitiesResponse { const page = params?.page || 1 const pageSize = params?.pageSize || 10 const targetId = params?.targetId const severity = params?.severity const search = params?.search?.toLowerCase() || '' let filtered = mockVulnerabilities if (targetId) { filtered = filtered.filter(v => v.target === targetId) } if (severity) { filtered = filtered.filter(v => v.severity === severity) } if (search) { filtered = filtered.filter( v => v.url.toLowerCase().includes(search) || v.vulnType.toLowerCase().includes(search) || v.description?.toLowerCase().includes(search) ) } const total = filtered.length const totalPages = Math.ceil(total / pageSize) const start = (page - 1) * pageSize const vulnerabilities = filtered.slice(start, start + pageSize) return { vulnerabilities, total, page, pageSize, totalPages, } } export function getMockVulnerabilityById(id: number): Vulnerability | undefined { return mockVulnerabilities.find(v => v.id === id) } ================================================ FILE: frontend/mock/data/websites.ts ================================================ import type { WebSite, WebSiteListResponse } from '@/types/website.types' export const mockWebsites: WebSite[] = [ { id: 1, target: 1, url: 'https://acme.com', host: 'acme.com', location: '', title: 'Acme Corporation - Home', webserver: 'nginx/1.24.0', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 45678, responseBody: '...', tech: ['React', 'Next.js', 'Node.js', 'Tailwind CSS'], vhost: false, subdomain: 'acme.com', createdAt: '2024-12-28T10:00:00Z', }, { id: 2, target: 1, url: 'https://www.acme.com', host: 'www.acme.com', location: 'https://acme.com', title: 'Acme Corporation - Home', webserver: 'nginx/1.24.0', contentType: 'text/html; charset=utf-8', statusCode: 301, contentLength: 0, responseBody: '', tech: [], vhost: false, subdomain: 'www.acme.com', createdAt: '2024-12-28T10:01:00Z', }, { id: 3, target: 1, url: 'https://api.acme.com', host: 'api.acme.com', location: '', title: 'Acme API', webserver: 'nginx/1.24.0', contentType: 'application/json', statusCode: 200, contentLength: 234, responseBody: '{"status":"ok","version":"1.0"}', tech: ['Django', 'Python', 'PostgreSQL'], vhost: false, subdomain: 'api.acme.com', createdAt: '2024-12-28T10:02:00Z', }, { id: 4, target: 1, url: 'https://admin.acme.com', host: 'admin.acme.com', location: '', title: 'Admin Panel - Acme', webserver: 'nginx/1.24.0', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 23456, responseBody: '...', tech: ['React', 'Ant Design'], vhost: false, subdomain: 'admin.acme.com', createdAt: '2024-12-28T10:03:00Z', }, { id: 5, target: 2, url: 'https://acme.io', host: 'acme.io', location: '', title: 'Acme Developer Platform', webserver: 'cloudflare', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 56789, responseBody: '...', tech: ['Vue.js', 'Vitepress', 'CloudFlare'], vhost: false, subdomain: 'acme.io', createdAt: '2024-12-27T14:30:00Z', }, { id: 6, target: 2, url: 'https://docs.acme.io', host: 'docs.acme.io', location: '', title: 'Documentation - Acme.io', webserver: 'cloudflare', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 67890, responseBody: '...', tech: ['Vue.js', 'Vitepress'], vhost: false, subdomain: 'docs.acme.io', createdAt: '2024-12-27T14:31:00Z', }, { id: 7, target: 3, url: 'https://techstart.io', host: 'techstart.io', location: '', title: 'TechStart - Innovation Hub', webserver: 'Apache/2.4.54', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 34567, responseBody: '...', tech: ['WordPress', 'PHP', 'MySQL'], vhost: false, subdomain: 'techstart.io', createdAt: '2024-12-26T08:45:00Z', }, { id: 8, target: 4, url: 'https://globalfinance.com', host: 'globalfinance.com', location: '', title: 'Global Finance - Your Financial Partner', webserver: 'Microsoft-IIS/10.0', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 56789, responseBody: '...', tech: ['ASP.NET', 'C#', 'jQuery', 'SQL Server'], vhost: false, subdomain: 'globalfinance.com', createdAt: '2024-12-25T16:20:00Z', }, { id: 9, target: 6, url: 'https://healthcareplus.com', host: 'healthcareplus.com', location: '', title: 'HealthCare Plus - Digital Health', webserver: 'nginx/1.24.0', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 45678, responseBody: '...', tech: ['Angular', 'TypeScript', 'Node.js'], vhost: false, subdomain: 'healthcareplus.com', createdAt: '2024-12-23T11:00:00Z', }, { id: 10, target: 7, url: 'https://edutech.io', host: 'edutech.io', location: '', title: 'EduTech - Learn Anywhere', webserver: 'cloudflare', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 67890, responseBody: '...', tech: ['Vue.js', 'Nuxt.js', 'PostgreSQL'], vhost: false, subdomain: 'edutech.io', createdAt: '2024-12-22T13:30:00Z', }, { id: 11, target: 8, url: 'https://retailmax.com', host: 'retailmax.com', location: '', title: 'RetailMax - Shop Everything', webserver: 'nginx/1.22.0', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 89012, responseBody: '...', tech: ['React', 'Redux', 'Node.js', 'MongoDB'], vhost: false, subdomain: 'retailmax.com', createdAt: '2024-12-21T10:45:00Z', }, { id: 12, target: 10, url: 'https://cloudnine.host', host: 'cloudnine.host', location: '', title: 'CloudNine Hosting', webserver: 'LiteSpeed', contentType: 'text/html; charset=utf-8', statusCode: 200, contentLength: 34567, responseBody: '...', tech: ['PHP', 'Laravel', 'MySQL'], vhost: false, subdomain: 'cloudnine.host', createdAt: '2024-12-19T16:00:00Z', }, ] export function getMockWebsites(params?: { page?: number pageSize?: number search?: string targetId?: number }): WebSiteListResponse { const page = params?.page || 1 const pageSize = params?.pageSize || 10 const search = params?.search?.toLowerCase() || '' const targetId = params?.targetId let filtered = mockWebsites if (targetId) { filtered = filtered.filter(w => w.target === targetId) } if (search) { filtered = filtered.filter( w => w.url.toLowerCase().includes(search) || w.title.toLowerCase().includes(search) || w.host.toLowerCase().includes(search) ) } const total = filtered.length const totalPages = Math.ceil(total / pageSize) const start = (page - 1) * pageSize const results = filtered.slice(start, start + pageSize) return { results, total, page, pageSize, totalPages, } } export function getMockWebsiteById(id: number): WebSite | undefined { return mockWebsites.find(w => w.id === id) } ================================================ FILE: frontend/mock/data/wordlists.ts ================================================ import type { Wordlist, GetWordlistsResponse } from '@/types/wordlist.types' export const mockWordlists: Wordlist[] = [ { id: 1, name: 'common-dirs.txt', description: '常用目录字典', fileSize: 45678, lineCount: 4567, fileHash: 'a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6', createdAt: '2024-12-20T10:00:00Z', updatedAt: '2024-12-28T10:00:00Z', }, { id: 2, name: 'subdomains-top1million.txt', description: 'Top 100万子域名字典', fileSize: 12345678, lineCount: 1000000, fileHash: 'b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7', createdAt: '2024-12-20T10:01:00Z', updatedAt: '2024-12-28T10:01:00Z', }, { id: 3, name: 'api-endpoints.txt', description: 'API 端点字典', fileSize: 23456, lineCount: 2345, fileHash: 'c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7r8', createdAt: '2024-12-20T10:02:00Z', updatedAt: '2024-12-28T10:02:00Z', }, { id: 4, name: 'params.txt', description: '常用参数名字典', fileSize: 8901, lineCount: 890, fileHash: 'd4e5f6g7h8i9j0k1l2m3n4o5p6q7r8s9', createdAt: '2024-12-20T10:03:00Z', updatedAt: '2024-12-28T10:03:00Z', }, { id: 5, name: 'sensitive-files.txt', description: '敏感文件字典', fileSize: 5678, lineCount: 567, fileHash: 'e5f6g7h8i9j0k1l2m3n4o5p6q7r8s9t0', createdAt: '2024-12-20T10:04:00Z', updatedAt: '2024-12-28T10:04:00Z', }, { id: 6, name: 'raft-large-directories.txt', description: 'RAFT 大型目录字典', fileSize: 987654, lineCount: 98765, fileHash: 'f6g7h8i9j0k1l2m3n4o5p6q7r8s9t0u1', createdAt: '2024-12-20T10:05:00Z', updatedAt: '2024-12-28T10:05:00Z', }, ] export const mockWordlistContent = `admin api backup config dashboard debug dev docs download files images js login logs manager private public static test upload users v1 v2 wp-admin wp-content` export function getMockWordlists(params?: { page?: number pageSize?: number }): GetWordlistsResponse { const page = params?.page || 1 const pageSize = params?.pageSize || 10 const total = mockWordlists.length const totalPages = Math.ceil(total / pageSize) const start = (page - 1) * pageSize const results = mockWordlists.slice(start, start + pageSize) return { results, total, page, pageSize, totalPages, } } export function getMockWordlistById(id: number): Wordlist | undefined { return mockWordlists.find(w => w.id === id) } export function getMockWordlistContent(): string { return mockWordlistContent } ================================================ FILE: frontend/mock/data/workers.ts ================================================ import type { WorkerNode, WorkersResponse } from '@/types/worker.types' export const mockWorkers: WorkerNode[] = [ { id: 1, name: 'local-worker', ipAddress: '127.0.0.1', sshPort: 22, username: 'root', status: 'online', isLocal: true, createdAt: '2024-01-01T00:00:00Z', updatedAt: '2024-12-29T10:00:00Z', info: { cpuPercent: 23.5, memoryPercent: 45.2, }, }, { id: 2, name: 'worker-01', ipAddress: '192.168.1.101', sshPort: 22, username: 'scanner', status: 'online', isLocal: false, createdAt: '2024-06-15T08:00:00Z', updatedAt: '2024-12-29T09:30:00Z', info: { cpuPercent: 56.8, memoryPercent: 72.1, }, }, { id: 3, name: 'worker-02', ipAddress: '192.168.1.102', sshPort: 22, username: 'scanner', status: 'online', isLocal: false, createdAt: '2024-07-20T10:00:00Z', updatedAt: '2024-12-29T09:45:00Z', info: { cpuPercent: 34.2, memoryPercent: 58.9, }, }, { id: 4, name: 'worker-03', ipAddress: '192.168.1.103', sshPort: 22, username: 'scanner', status: 'offline', isLocal: false, createdAt: '2024-08-10T14:00:00Z', updatedAt: '2024-12-28T16:00:00Z', }, ] export function getMockWorkers(page = 1, pageSize = 10): WorkersResponse { const total = mockWorkers.length const totalPages = Math.ceil(total / pageSize) const start = (page - 1) * pageSize const results = mockWorkers.slice(start, start + pageSize) return { results, total, page, pageSize, } } export function getMockWorkerById(id: number): WorkerNode | undefined { return mockWorkers.find(w => w.id === id) } ================================================ FILE: frontend/mock/index.ts ================================================ /** * Mock 数据统一导出 * * 使用方式： * import { USE_MOCK, mockData } from '@/mock' * * if (USE_MOCK) { * return mockData.dashboard.assetStatistics * } */ export { USE_MOCK, MOCK_DELAY, mockDelay } from './config' // Dashboard export { mockDashboardStats, mockAssetStatistics, mockStatisticsHistory7Days, mockStatisticsHistory30Days, getMockStatisticsHistory, } from './data/dashboard' // Organizations export { mockOrganizations, getMockOrganizations, } from './data/organizations' // Targets export { mockTargets, mockTargetDetails, getMockTargets, getMockTargetById, } from './data/targets' // Scans export { mockScans, mockScanStatistics, getMockScans, getMockScanById, } from './data/scans' // Vulnerabilities export { mockVulnerabilities, getMockVulnerabilities, getMockVulnerabilityById, } from './data/vulnerabilities' // Endpoints export { mockEndpoints, getMockEndpoints, getMockEndpointById, } from './data/endpoints' // Websites export { mockWebsites, getMockWebsites, getMockWebsiteById, } from './data/websites' // Subdomains export { mockSubdomains, getMockSubdomains, getMockSubdomainById, } from './data/subdomains' // Auth export { mockUser, mockMeResponse, mockLoginResponse, mockLogoutResponse, } from './data/auth' // Engines export { mockEngines, getMockEngines, getMockEngineById, } from './data/engines' // Workers export { mockWorkers, getMockWorkers, getMockWorkerById, } from './data/workers' // Notifications export { mockNotifications, getMockNotifications, getMockUnreadCount, } from './data/notifications' // Scheduled Scans export { mockScheduledScans, getMockScheduledScans, getMockScheduledScanById, } from './data/scheduled-scans' // Directories export { mockDirectories, getMockDirectories, getMockDirectoryById, } from './data/directories' // Fingerprints export { mockEholeFingerprints, mockGobyFingerprints, mockWappalyzerFingerprints, mockFingersFingerprints, mockFingerPrintHubFingerprints, mockARLFingerprints, mockFingerprintStats, getMockEholeFingerprints, getMockGobyFingerprints, getMockWappalyzerFingerprints, getMockFingersFingerprints, getMockFingerPrintHubFingerprints, getMockARLFingerprints, getMockFingerprintStats, } from './data/fingerprints' // IP Addresses export { mockIPAddresses, getMockIPAddresses, getMockIPAddressByIP, } from './data/ip-addresses' // Search export { getMockSearchResults, } from './data/search' // Tools export { mockTools, getMockTools, getMockToolById, } from './data/tools' // Wordlists export { mockWordlists, mockWordlistContent, getMockWordlists, getMockWordlistById, getMockWordlistContent, } from './data/wordlists' // Nuclei Templates export { mockNucleiTemplateTree, mockNucleiTemplateContent, getMockNucleiTemplateTree, getMockNucleiTemplateContent, } from './data/nuclei-templates' // System Logs export { mockLogFiles, mockSystemLogContent, mockErrorLogContent, getMockLogFiles, getMockSystemLogs, } from './data/system-logs' // Notification Settings export { mockNotificationSettings, getMockNotificationSettings, updateMockNotificationSettings, } from './data/notification-settings' // Blacklist export { getMockGlobalBlacklist, updateMockGlobalBlacklist, getMockTargetBlacklist, updateMockTargetBlacklist, } from './data/blacklist' ================================================ FILE: frontend/next.config.ts ================================================ import type { NextConfig } from "next"; import createNextIntlPlugin from 'next-intl/plugin'; const withNextIntl = createNextIntlPlugin('./i18n/request.ts'); // Check if running on Vercel const isVercel = process.env.VERCEL === '1'; const nextConfig: NextConfig = { // Use standalone mode for Docker deployment (not needed on Vercel) ...(isVercel ? {} : { output: 'standalone' }), // Disable Next.js automatic add/remove trailing slash behavior // Let us manually control URL format skipTrailingSlashRedirect: true, // Don't interrupt production build due to ESLint errors (keep lint in dev environment) eslint: { ignoreDuringBuilds: true, }, // Allow LAN IP access to dev server (eliminate CORS warnings) allowedDevOrigins: ['192.168.*.*', '10.*.*.*', '172.16.*.*'], async rewrites() { // Skip rewrites on Vercel when using mock data if (isVercel) { return []; } // Use server service name in Docker environment, localhost for local development const apiHost = process.env.API_HOST || 'localhost'; return [ // Only match API paths with trailing slash { source: '/api/:path*/', destination: `http://${apiHost}:8888/api/:path*/`, }, ]; }, }; export default withNextIntl(nextConfig); ================================================ FILE: frontend/package.json ================================================ { "name": "xingrin", "version": "0.1.0", "private": true, "license": "MIT", "scripts": { "dev": "next dev --turbopack", "dev:mock": "NEXT_PUBLIC_USE_MOCK=true next dev --turbopack", "dev:noauth": "NEXT_PUBLIC_SKIP_AUTH=true next dev --turbopack", "build": "next build --turbopack", "start": "next start", "lint": "eslint" }, "dependencies": { "@dnd-kit/core": "^6.3.1", "@dnd-kit/modifiers": "^9.0.0", "@dnd-kit/sortable": "^10.0.0", "@dnd-kit/utilities": "^3.2.2", "@fontsource/noto-sans-sc": "^5.2.8", "@hookform/resolvers": "^5.2.2", "@monaco-editor/react": "^4.7.0", "@radix-ui/react-alert-dialog": "^1.1.15", "@radix-ui/react-avatar": "^1.1.10", "@radix-ui/react-checkbox": "^1.3.3", "@radix-ui/react-collapsible": "^1.1.12", "@radix-ui/react-dialog": "^1.1.15", "@radix-ui/react-dropdown-menu": "^2.1.16", "@radix-ui/react-hover-card": "^1.1.6", "@radix-ui/react-icons": "^1.3.2", "@radix-ui/react-label": "^2.1.7", "@radix-ui/react-popover": "^1.1.15", "@radix-ui/react-progress": "^1.1.7", "@radix-ui/react-radio-group": "^1.3.8", "@radix-ui/react-scroll-area": "^1.2.10", "@radix-ui/react-select": "^2.2.6", "@radix-ui/react-separator": "^1.1.7", "@radix-ui/react-slot": "^1.2.3", "@radix-ui/react-switch": "^1.2.6", "@radix-ui/react-tabs": "^1.1.13", "@radix-ui/react-toggle": "^1.1.10", "@radix-ui/react-toggle-group": "^1.1.11", "@radix-ui/react-tooltip": "^1.2.8", "@radix-ui/react-use-controllable-state": "^1.2.2", "@radix-ui/react-visually-hidden": "^1.2.3", "@tabler/icons-react": "^3.35.0", "@tanstack/react-query": "^5.90.2", "@tanstack/react-table": "^8.21.3", "@xterm/addon-fit": "^0.10.0", "@xterm/addon-web-links": "^0.11.0", "@xterm/xterm": "^5.5.0", "ansi-to-html": "^0.7.2", "axios": "^1.12.2", "camelcase-keys": "^10.0.0", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "^1.1.1", "cron-parser": "^5.4.0", "cronstrue": "^3.9.0", "date-fns": "^4.1.0", "framer-motion": "^12.23.26", "geist": "^1.5.1", "is-ip": "^5.0.1", "js-yaml": "^4.1.0", "lottie-react": "^2.4.1", "lucide-react": "^0.544.0", "next": "^15.5.9", "next-intl": "^4.6.1", "next-themes": "^0.4.6", "nextjs-toploader": "^3.9.17", "psl": "^1.15.0", "react": "19.1.2", "react-day-picker": "^9.11.2", "react-dom": "19.1.2", "react-dropzone": "^14.3.8", "react-hook-form": "^7.65.0", "recharts": "2.15.4", "snakecase-keys": "^9.0.2", "sonner": "^2.0.7", "tailwind-merge": "^3.3.1", "tldts": "^6.1.86", "validator": "^13.15.15", "vaul": "^1.1.2", "zod": "^4.1.12" }, "devDependencies": { "@eslint/eslintrc": "^3", "@tailwindcss/postcss": "^4", "@tanstack/react-query-devtools": "^5.90.2", "@types/js-yaml": "^4.0.9", "@types/node": "^20.19.19", "@types/react": "^19", "@types/react-dom": "^19", "@types/validator": "^13.15.3", "eslint": "^9", "eslint-config-next": "15.5.7", "msw": "^2.11.6", "tailwindcss": "^4", "tw-animate-css": "^1.4.0", "typescript": "^5" }, "msw": { "workerDirectory": [ "public" ] } } ================================================ FILE: frontend/postcss.config.mjs ================================================ const config = { plugins: ["@tailwindcss/postcss"], }; export default config; 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Bypass such requests. if ( event.request.cache === 'only-if-cached' && event.request.mode !== 'same-origin' ) { return } // Bypass all requests when there are no active clients. // Prevents the self-unregistered worked from handling requests // after it's been terminated (still remains active until the next reload). if (activeClientIds.size === 0) { return } const requestId = crypto.randomUUID() event.respondWith(handleRequest(event, requestId, requestInterceptedAt)) }) /** * @param {FetchEvent} event * @param {string} requestId * @param {number} requestInterceptedAt */ async function handleRequest(event, requestId, requestInterceptedAt) { const client = await resolveMainClient(event) const requestCloneForEvents = event.request.clone() const response = await getResponse( event, client, requestId, requestInterceptedAt, ) // Send back the response clone for the "response:*" life-cycle events. // Ensure MSW is active and ready to handle the message, otherwise // this message will pend indefinitely. if (client && activeClientIds.has(client.id)) { const serializedRequest = await serializeRequest(requestCloneForEvents) // Clone the response so both the client and the library could consume it. const responseClone = response.clone() sendToClient( client, { type: 'RESPONSE', payload: { isMockedResponse: IS_MOCKED_RESPONSE in response, request: { id: requestId, ...serializedRequest, }, response: { type: responseClone.type, status: responseClone.status, statusText: responseClone.statusText, headers: Object.fromEntries(responseClone.headers.entries()), body: responseClone.body, }, }, }, responseClone.body ? [serializedRequest.body, responseClone.body] : [], ) } return response } /** * Resolve the main client for the given event. * Client that issues a request doesn't necessarily equal the client * that registered the worker. It's with the latter the worker should * communicate with during the response resolving phase. * @param {FetchEvent} event * @returns {Promise} */ async function resolveMainClient(event) { const client = await self.clients.get(event.clientId) if (activeClientIds.has(event.clientId)) { return client } if (client?.frameType === 'top-level') { return client } const allClients = await self.clients.matchAll({ type: 'window', }) return allClients .filter((client) => { // Get only those clients that are currently visible. return client.visibilityState === 'visible' }) .find((client) => { // Find the client ID that's recorded in the // set of clients that have registered the worker. return activeClientIds.has(client.id) }) } /** * @param {FetchEvent} event * @param {Client | undefined} client * @param {string} requestId * @param {number} requestInterceptedAt * @returns {Promise} */ async function getResponse(event, client, requestId, requestInterceptedAt) { // Clone the request because it might've been already used // (i.e. its body has been read and sent to the client). const requestClone = event.request.clone() function passthrough() { // Cast the request headers to a new Headers instance // so the headers can be manipulated with. const headers = new Headers(requestClone.headers) // Remove the "accept" header value that marked this request as passthrough. // This prevents request alteration and also keeps it compliant with the // user-defined CORS policies. const acceptHeader = headers.get('accept') if (acceptHeader) { const values = acceptHeader.split(',').map((value) => value.trim()) const filteredValues = values.filter( (value) => value !== 'msw/passthrough', ) if (filteredValues.length > 0) { headers.set('accept', filteredValues.join(', ')) } else { headers.delete('accept') } } return fetch(requestClone, { headers }) } // Bypass mocking when the client is not active. if (!client) { return passthrough() } // Bypass initial page load requests (i.e. static assets). // The absence of the immediate/parent client in the map of the active clients // means that MSW hasn't dispatched the "MOCK_ACTIVATE" event yet // and is not ready to handle requests. if (!activeClientIds.has(client.id)) { return passthrough() } // Notify the client that a request has been intercepted. const serializedRequest = await serializeRequest(event.request) const clientMessage = await sendToClient( client, { type: 'REQUEST', payload: { id: requestId, interceptedAt: requestInterceptedAt, ...serializedRequest, }, }, [serializedRequest.body], ) switch (clientMessage.type) { case 'MOCK_RESPONSE': { return respondWithMock(clientMessage.data) } case 'PASSTHROUGH': { return passthrough() } } return passthrough() } /** * @param {Client} client * @param {any} message * @param {Array} transferrables * @returns {Promise} */ function sendToClient(client, message, transferrables = []) { return new Promise((resolve, reject) => { const channel = new MessageChannel() channel.port1.onmessage = (event) => { if (event.data && event.data.error) { return reject(event.data.error) } resolve(event.data) } client.postMessage(message, [ channel.port2, ...transferrables.filter(Boolean), ]) }) } /** * @param {Response} response * @returns {Response} */ function respondWithMock(response) { // Setting response status code to 0 is a no-op. // However, when responding with a "Response.error()", the produced Response // instance will have status code set to 0. Since it's not possible to create // a Response instance with status code 0, handle that use-case separately. if (response.status === 0) { return Response.error() } const mockedResponse = new Response(response.body, response) Reflect.defineProperty(mockedResponse, IS_MOCKED_RESPONSE, { value: true, enumerable: true, }) return mockedResponse } /** * @param {Request} request */ async function serializeRequest(request) { return { url: request.url, mode: request.mode, method: request.method, headers: Object.fromEntries(request.headers.entries()), cache: request.cache, credentials: request.credentials, destination: request.destination, integrity: request.integrity, redirect: request.redirect, referrer: request.referrer, referrerPolicy: request.referrerPolicy, body: await request.arrayBuffer(), keepalive: request.keepalive, } } ================================================ FILE: frontend/services/api-key-settings.service.ts ================================================ import { api } from '@/lib/api-client' import type { ApiKeySettings } from '@/types/api-key-settings.types' export class ApiKeySettingsService { static async getSettings(): Promise { const res = await api.get('/settings/api-keys/') return res.data } static async updateSettings(data: Partial): Promise { const res = await api.put('/settings/api-keys/', data) return res.data } } ================================================ FILE: frontend/services/auth.service.ts ================================================ /** * Authentication service */ import { api } from '@/lib/api-client' import type { LoginRequest, LoginResponse, MeResponse, LogoutResponse, ChangePasswordRequest, ChangePasswordResponse } from '@/types/auth.types' import { USE_MOCK, mockDelay, mockLoginResponse, mockLogoutResponse, mockMeResponse } from '@/mock' /** * User login */ export async function login(data: LoginRequest): Promise { if (USE_MOCK) { await mockDelay() return mockLoginResponse } const res = await api.post('/auth/login/', data) return res.data } /** * User logout */ export async function logout(): Promise { if (USE_MOCK) { await mockDelay() return mockLogoutResponse } const res = await api.post('/auth/logout/') return res.data } /** * Get current user information */ export async function getMe(): Promise { if (USE_MOCK) { await mockDelay() return mockMeResponse } const res = await api.get('/auth/me/') return res.data } /** * Change password */ export async function changePassword(data: ChangePasswordRequest): Promise { if (USE_MOCK) { await mockDelay() return { message: 'Password changed successfully' } } const res = await api.post('/auth/change-password/', data) return res.data } ================================================ FILE: frontend/services/command.service.ts ================================================ import { api } from "@/lib/api-client" import type { Command, GetCommandsRequest, GetCommandsResponse, CreateCommandRequest, UpdateCommandRequest, CommandResponseData, BatchDeleteCommandsResponseData, } from "@/types/command.types" /** * Command service */ export class CommandService { /** * Get command list */ static async getCommands( params: GetCommandsRequest = {} ): Promise { const response = await api.get( "/commands/", { params } ) return response.data } /** * Get single command */ static async getCommandById(id: number): Promise { const response = await api.get( `/commands/${id}/` ) return response.data } /** * Create command */ static async createCommand( data: CreateCommandRequest ): Promise { const response = await api.post( "/commands/create/", data ) return response.data } /** * Update command */ static async updateCommand( id: number, data: UpdateCommandRequest ): Promise { const response = await api.put( `/commands/${id}/`, data ) return response.data } /** * Delete command */ static async deleteCommand( id: number ): Promise { await api.delete( `/commands/${id}/` ) } /** * Batch delete commands */ static async batchDeleteCommands( ids: number[] ): Promise { const response = await api.post( "/commands/batch-delete/", { ids } ) return response.data } } ================================================ FILE: frontend/services/dashboard.service.ts ================================================ import { api } from '@/lib/api-client' import type { DashboardStats, AssetStatistics, StatisticsHistoryItem } from '@/types/dashboard.types' import { USE_MOCK, mockDelay, mockDashboardStats, mockAssetStatistics, getMockStatisticsHistory } from '@/mock' export async function getDashboardStats(): Promise { if (USE_MOCK) { await mockDelay() return mockDashboardStats } const res = await api.get('/dashboard/stats/') return res.data } /** * Get asset statistics data (pre-aggregated) */ export async function getAssetStatistics(): Promise { if (USE_MOCK) { await mockDelay() return mockAssetStatistics } const res = await api.get('/assets/statistics/') return res.data } /** * Get statistics history data (for line charts) */ export async function getStatisticsHistory(days: number = 7): Promise { if (USE_MOCK) { await mockDelay() return getMockStatisticsHistory(days) } const res = await api.get('/assets/statistics/history/', { params: { days } }) return res.data } ================================================ FILE: frontend/services/directory.service.ts ================================================ import { api } from "@/lib/api-client" // Bulk create directories response type export interface BulkCreateDirectoriesResponse { message: string createdCount: number } // Bulk delete response type export interface BulkDeleteResponse { deletedCount: number } /** Directory related API service */ export class DirectoryService { /** * Bulk delete directories * POST /api/assets/directories/bulk-delete/ */ static async bulkDelete(ids: number[]): Promise { const response = await api.post( `/assets/directories/bulk-delete/`, { ids } ) return response.data } /** * Bulk create directories (bind to target) * POST /api/targets/{target_id}/directories/bulk-create/ */ static async bulkCreateDirectories( targetId: number, urls: string[] ): Promise { const response = await api.post( `/targets/${targetId}/directories/bulk-create/`, { urls } ) return response.data } /** Export all directory URLs by target (text file, one per line) */ static async exportDirectoriesByTargetId(targetId: number): Promise { const response = await api.get(`/targets/${targetId}/directories/export/`, { responseType: "blob", }) return response.data } /** Export all directory URLs by scan task (text file, one per line) */ static async exportDirectoriesByScanId(scanId: number): Promise { const response = await api.get(`/scans/${scanId}/directories/export/`, { responseType: "blob", }) return response.data } } ================================================ FILE: frontend/services/disk.service.ts ================================================ import { api } from '@/lib/api-client' import type { DiskStats } from '@/types/disk.types' export async function getDiskStats(): Promise { const res = await api.get('/system/disk-stats/') return res.data } ================================================ FILE: frontend/services/endpoint.service.ts ================================================ import { api } from "@/lib/api-client" import type { Endpoint, CreateEndpointRequest, UpdateEndpointRequest, GetEndpointsRequest, GetEndpointsResponse, BatchDeleteEndpointsRequest, BatchDeleteEndpointsResponse } from "@/types/endpoint.types" import { USE_MOCK, mockDelay, getMockEndpoints, getMockEndpointById } from '@/mock' // Bulk create endpoints response type export interface BulkCreateEndpointsResponse { message: string createdCount: number } // Bulk delete response type export interface BulkDeleteResponse { deletedCount: number } export class EndpointService { /** * Bulk delete endpoints * POST /api/assets/endpoints/bulk-delete/ */ static async bulkDelete(ids: number[]): Promise { const response = await api.post( `/assets/endpoints/bulk-delete/`, { ids } ) return response.data } /** * Bulk create endpoints (bind to target) * POST /api/targets/{target_id}/endpoints/bulk-create/ */ static async bulkCreateEndpoints( targetId: number, urls: string[] ): Promise { const response = await api.post( `/targets/${targetId}/endpoints/bulk-create/`, { urls } ) return response.data } /** * Get single Endpoint details * @param id - Endpoint ID * @returns Promise */ static async getEndpointById(id: number): Promise { if (USE_MOCK) { await mockDelay() const endpoint = getMockEndpointById(id) if (!endpoint) throw new Error('Endpoint not found') return endpoint } const response = await api.get(`/endpoints/${id}/`) return response.data } /** * Get Endpoint list * @param params - Query parameters * @returns Promise */ static async getEndpoints(params: GetEndpointsRequest): Promise { if (USE_MOCK) { await mockDelay() return getMockEndpoints(params) } // api-client.ts automatically converts camelCase params to snake_case const response = await api.get('/endpoints/', { params }) return response.data } /** * Get Endpoint list by target ID (dedicated route) * @param targetId - Target ID * @param params - Other query parameters * @param filter - Smart filter query string * @returns Promise */ static async getEndpointsByTargetId(targetId: number, params: GetEndpointsRequest, filter?: string): Promise { // api-client.ts automatically converts camelCase params to snake_case const response = await api.get(`/targets/${targetId}/endpoints/`, { params: { ...params, filter } }) return response.data } /** * Get Endpoint list by scan ID (historical snapshot) * @param scanId - Scan task ID * @param params - Pagination and other query parameters * @param filter - Smart filter query string */ static async getEndpointsByScanId( scanId: number, params: GetEndpointsRequest, filter?: string, ): Promise { const response = await api.get(`/scans/${scanId}/endpoints/`, { params: { ...params, filter }, }) return response.data } /** * Batch create Endpoints * @param data - Create request object * @param data.endpoints - Endpoint data array * @returns Promise */ static async createEndpoints(data: { endpoints: Array }): Promise { // api-client.ts automatically converts camelCase request body to snake_case const response = await api.post('/endpoints/create/', data) return response.data } /** * Delete Endpoint * @param id - Endpoint ID * @returns Promise */ static async deleteEndpoint(id: number): Promise { await api.delete(`/endpoints/${id}/`) } /** * Batch delete Endpoints * @param data - Batch delete request object * @param data.endpointIds - Endpoint ID list * @returns Promise */ static async batchDeleteEndpoints(data: BatchDeleteEndpointsRequest): Promise { // api-client.ts automatically converts camelCase request body to snake_case const response = await api.post('/endpoints/batch-delete/', data) return response.data } /** Export all endpoint URLs by target (text file, one per line) */ static async exportEndpointsByTargetId(targetId: number): Promise { const response = await api.get(`/targets/${targetId}/endpoints/export/`, { responseType: 'blob', }) return response.data } /** Export all endpoint URLs by scan task (text file, one per line) */ static async exportEndpointsByScanId(scanId: number): Promise { const response = await api.get(`/scans/${scanId}/endpoints/export/`, { responseType: 'blob', }) return response.data } } ================================================ FILE: frontend/services/engine.service.ts ================================================ import apiClient from '@/lib/api-client' import type { ScanEngine } from '@/types/engine.types' import { USE_MOCK, mockDelay, getMockEngines, getMockEngineById } from '@/mock' /** * Engine API service */ /** * Get engine list */ export async function getEngines(): Promise { if (USE_MOCK) { await mockDelay() return getMockEngines() } // Engines are usually not many, get all const response = await apiClient.get('/engines/', { params: { pageSize: 1000 } }) // Backend returns paginated data: { results: [...], total, page, pageSize, totalPages } return response.data.results || response.data } /** * Get engine details */ export async function getEngine(id: number): Promise { if (USE_MOCK) { await mockDelay() const engine = getMockEngineById(id) if (!engine) throw new Error('Engine not found') return engine } const response = await apiClient.get(`/engines/${id}/`) return response.data } /** * Create engine */ export async function createEngine(data: { name: string configuration: string }): Promise { const response = await apiClient.post('/engines/', data) return response.data } /** * Update engine */ export async function updateEngine( id: number, data: Partial<{ name: string configuration: string }> ): Promise { const response = await apiClient.patch(`/engines/${id}/`, data) return response.data } /** * Delete engine */ export async function deleteEngine(id: number): Promise { await apiClient.delete(`/engines/${id}/`) } ================================================ FILE: frontend/services/fingerprint.service.ts ================================================ /** * Fingerprint management API service */ import apiClient from "@/lib/api-client" import type { PaginatedResponse } from "@/types/api-response.types" import type { EholeFingerprint, GobyFingerprint, WappalyzerFingerprint, FingersFingerprint, FingerPrintHubFingerprint, ARLFingerprint, BatchCreateResponse, BulkDeleteResponse, FingerprintStats } from "@/types/fingerprint.types" // Paginated query parameters interface QueryParams { page?: number pageSize?: number filter?: string } export const FingerprintService = { // ==================== EHole ==================== /** * Get EHole fingerprint list */ async getEholeFingerprints(params: QueryParams = {}): Promise> { const response = await apiClient.get("/fingerprints/ehole/", { params }) return response.data }, /** * Get EHole fingerprint details */ async getEholeFingerprint(id: number): Promise { const response = await apiClient.get(`/fingerprints/ehole/${id}/`) return response.data }, /** * Create single EHole fingerprint */ async createEholeFingerprint(data: Omit): Promise { const response = await apiClient.post("/fingerprints/ehole/", data) return response.data }, /** * Update EHole fingerprint */ async updateEholeFingerprint(id: number, data: Partial): Promise { const response = await apiClient.put(`/fingerprints/ehole/${id}/`, data) return response.data }, /** * Delete single EHole fingerprint */ async deleteEholeFingerprint(id: number): Promise { await apiClient.delete(`/fingerprints/ehole/${id}/`) }, /** * Batch create EHole fingerprints */ async batchCreateEholeFingerprints(fingerprints: Omit[]): Promise { const response = await apiClient.post("/fingerprints/ehole/batch_create/", { fingerprints }) return response.data }, /** * File import EHole fingerprints */ async importEholeFingerprints(file: File): Promise { const formData = new FormData() formData.append("file", file) const response = await apiClient.post("/fingerprints/ehole/import_file/", formData, { headers: { "Content-Type": "multipart/form-data" } }) return response.data }, /** * Bulk delete EHole fingerprints */ async bulkDeleteEholeFingerprints(ids: number[]): Promise { const response = await apiClient.post("/fingerprints/ehole/bulk-delete/", { ids }) return response.data }, /** * Delete all EHole fingerprints */ async deleteAllEholeFingerprints(): Promise { const response = await apiClient.post("/fingerprints/ehole/delete-all/") return response.data }, /** * Export EHole fingerprints */ async exportEholeFingerprints(): Promise { const response = await apiClient.get("/fingerprints/ehole/export/", { responseType: "blob" }) return response.data }, /** * Get EHole fingerprint count */ async getEholeCount(): Promise { const response = await apiClient.get("/fingerprints/ehole/", { params: { pageSize: 1 } }) return response.data.total || 0 }, // ==================== Goby ==================== /** * Get Goby fingerprint list */ async getGobyFingerprints(params: QueryParams = {}): Promise> { const response = await apiClient.get("/fingerprints/goby/", { params }) return response.data }, /** * 获取 Goby 指纹详情 */ async getGobyFingerprint(id: number): Promise { const response = await apiClient.get(`/fingerprints/goby/${id}/`) return response.data }, /** * 创建单条 Goby 指纹 */ async createGobyFingerprint(data: Omit): Promise { const response = await apiClient.post("/fingerprints/goby/", data) return response.data }, /** * 更新 Goby 指纹 */ async updateGobyFingerprint(id: number, data: Partial): Promise { const response = await apiClient.put(`/fingerprints/goby/${id}/`, data) return response.data }, /** * 删除单条 Goby 指纹 */ async deleteGobyFingerprint(id: number): Promise { await apiClient.delete(`/fingerprints/goby/${id}/`) }, /** * 文件导入 Goby 指纹 */ async importGobyFingerprints(file: File): Promise { const formData = new FormData() formData.append("file", file) const response = await apiClient.post("/fingerprints/goby/import_file/", formData, { headers: { "Content-Type": "multipart/form-data" } }) return response.data }, /** * 批量删除 Goby 指纹 */ async bulkDeleteGobyFingerprints(ids: number[]): Promise { const response = await apiClient.post("/fingerprints/goby/bulk-delete/", { ids }) return response.data }, /** * 删除所有 Goby 指纹 */ async deleteAllGobyFingerprints(): Promise { const response = await apiClient.post("/fingerprints/goby/delete-all/") return response.data }, /** * 导出 Goby 指纹 */ async exportGobyFingerprints(): Promise { const response = await apiClient.get("/fingerprints/goby/export/", { responseType: "blob" }) return response.data }, /** * 获取 Goby 指纹数量 */ async getGobyCount(): Promise { const response = await apiClient.get("/fingerprints/goby/", { params: { pageSize: 1 } }) return response.data.total || 0 }, // ==================== Wappalyzer ==================== /** * 获取 Wappalyzer 指纹列表 */ async getWappalyzerFingerprints(params: QueryParams = {}): Promise> { const response = await apiClient.get("/fingerprints/wappalyzer/", { params }) return response.data }, /** * 获取 Wappalyzer 指纹详情 */ async getWappalyzerFingerprint(id: number): Promise { const response = await apiClient.get(`/fingerprints/wappalyzer/${id}/`) return response.data }, /** * 创建单条 Wappalyzer 指纹 */ async createWappalyzerFingerprint(data: Omit): Promise { const response = await apiClient.post("/fingerprints/wappalyzer/", data) return response.data }, /** * 更新 Wappalyzer 指纹 */ async updateWappalyzerFingerprint(id: number, data: Partial): Promise { const response = await apiClient.put(`/fingerprints/wappalyzer/${id}/`, data) return response.data }, /** * 删除单条 Wappalyzer 指纹 */ async deleteWappalyzerFingerprint(id: number): Promise { await apiClient.delete(`/fingerprints/wappalyzer/${id}/`) }, /** * 文件导入 Wappalyzer 指纹 */ async importWappalyzerFingerprints(file: File): Promise { const formData = new FormData() formData.append("file", file) const response = await apiClient.post("/fingerprints/wappalyzer/import_file/", formData, { headers: { "Content-Type": "multipart/form-data" } }) return response.data }, /** * 批量删除 Wappalyzer 指纹 */ async bulkDeleteWappalyzerFingerprints(ids: number[]): Promise { const response = await apiClient.post("/fingerprints/wappalyzer/bulk-delete/", { ids }) return response.data }, /** * 删除所有 Wappalyzer 指纹 */ async deleteAllWappalyzerFingerprints(): Promise { const response = await apiClient.post("/fingerprints/wappalyzer/delete-all/") return response.data }, /** * 导出 Wappalyzer 指纹 */ async exportWappalyzerFingerprints(): Promise { const response = await apiClient.get("/fingerprints/wappalyzer/export/", { responseType: "blob" }) return response.data }, /** * 获取 Wappalyzer 指纹数量 */ async getWappalyzerCount(): Promise { const response = await apiClient.get("/fingerprints/wappalyzer/", { params: { pageSize: 1 } }) return response.data.total || 0 }, // ==================== Fingers ==================== /** * 获取 Fingers 指纹列表 */ async getFingersFingerprints(params: QueryParams = {}): Promise> { const response = await apiClient.get("/fingerprints/fingers/", { params }) return response.data }, /** * 获取 Fingers 指纹详情 */ async getFingersFingerprint(id: number): Promise { const response = await apiClient.get(`/fingerprints/fingers/${id}/`) return response.data }, /** * 创建单条 Fingers 指纹 */ async createFingersFingerprint(data: Omit): Promise { const response = await apiClient.post("/fingerprints/fingers/", data) return response.data }, /** * 更新 Fingers 指纹 */ async updateFingersFingerprint(id: number, data: Partial): Promise { const response = await apiClient.put(`/fingerprints/fingers/${id}/`, data) return response.data }, /** * 删除单条 Fingers 指纹 */ async deleteFingersFingerprint(id: number): Promise { await apiClient.delete(`/fingerprints/fingers/${id}/`) }, /** * 文件导入 Fingers 指纹 */ async importFingersFingerprints(file: File): Promise { const formData = new FormData() formData.append("file", file) const response = await apiClient.post("/fingerprints/fingers/import_file/", formData, { headers: { "Content-Type": "multipart/form-data" } }) return response.data }, /** * 批量删除 Fingers 指纹 */ async bulkDeleteFingersFingerprints(ids: number[]): Promise { const response = await apiClient.post("/fingerprints/fingers/bulk-delete/", { ids }) return response.data }, /** * 删除所有 Fingers 指纹 */ async deleteAllFingersFingerprints(): Promise { const response = await apiClient.post("/fingerprints/fingers/delete-all/") return response.data }, /** * 导出 Fingers 指纹 */ async exportFingersFingerprints(): Promise { const response = await apiClient.get("/fingerprints/fingers/export/", { responseType: "blob" }) return response.data }, /** * 获取 Fingers 指纹数量 */ async getFingersCount(): Promise { const response = await apiClient.get("/fingerprints/fingers/", { params: { pageSize: 1 } }) return response.data.total || 0 }, // ==================== FingerPrintHub ==================== /** * 获取 FingerPrintHub 指纹列表 */ async getFingerPrintHubFingerprints(params: QueryParams = {}): Promise> { const response = await apiClient.get("/fingerprints/fingerprinthub/", { params }) return response.data }, /** * 获取 FingerPrintHub 指纹详情 */ async getFingerPrintHubFingerprint(id: number): Promise { const response = await apiClient.get(`/fingerprints/fingerprinthub/${id}/`) return response.data }, /** * 创建单条 FingerPrintHub 指纹 */ async createFingerPrintHubFingerprint(data: Omit): Promise { const response = await apiClient.post("/fingerprints/fingerprinthub/", data) return response.data }, /** * 更新 FingerPrintHub 指纹 */ async updateFingerPrintHubFingerprint(id: number, data: Partial): Promise { const response = await apiClient.put(`/fingerprints/fingerprinthub/${id}/`, data) return response.data }, /** * 删除单条 FingerPrintHub 指纹 */ async deleteFingerPrintHubFingerprint(id: number): Promise { await apiClient.delete(`/fingerprints/fingerprinthub/${id}/`) }, /** * 文件导入 FingerPrintHub 指纹 */ async importFingerPrintHubFingerprints(file: File): Promise { const formData = new FormData() formData.append("file", file) const response = await apiClient.post("/fingerprints/fingerprinthub/import_file/", formData, { headers: { "Content-Type": "multipart/form-data" } }) return response.data }, /** * 批量删除 FingerPrintHub 指纹 */ async bulkDeleteFingerPrintHubFingerprints(ids: number[]): Promise { const response = await apiClient.post("/fingerprints/fingerprinthub/bulk-delete/", { ids }) return response.data }, /** * 删除所有 FingerPrintHub 指纹 */ async deleteAllFingerPrintHubFingerprints(): Promise { const response = await apiClient.post("/fingerprints/fingerprinthub/delete-all/") return response.data }, /** * 导出 FingerPrintHub 指纹 */ async exportFingerPrintHubFingerprints(): Promise { const response = await apiClient.get("/fingerprints/fingerprinthub/export/", { responseType: "blob" }) return response.data }, /** * 获取 FingerPrintHub 指纹数量 */ async getFingerPrintHubCount(): Promise { const response = await apiClient.get("/fingerprints/fingerprinthub/", { params: { pageSize: 1 } }) return response.data.total || 0 }, // ==================== ARL ==================== /** * 获取 ARL 指纹列表 */ async getARLFingerprints(params: QueryParams = {}): Promise> { const response = await apiClient.get("/fingerprints/arl/", { params }) return response.data }, /** * 获取 ARL 指纹详情 */ async getARLFingerprint(id: number): Promise { const response = await apiClient.get(`/fingerprints/arl/${id}/`) return response.data }, /** * 创建单条 ARL 指纹 */ async createARLFingerprint(data: Omit): Promise { const response = await apiClient.post("/fingerprints/arl/", data) return response.data }, /** * 更新 ARL 指纹 */ async updateARLFingerprint(id: number, data: Partial): Promise { const response = await apiClient.put(`/fingerprints/arl/${id}/`, data) return response.data }, /** * 删除单条 ARL 指纹 */ async deleteARLFingerprint(id: number): Promise { await apiClient.delete(`/fingerprints/arl/${id}/`) }, /** * 文件导入 ARL 指纹（支持 YAML 和 JSON） */ async importARLFingerprints(file: File): Promise { const formData = new FormData() formData.append("file", file) const response = await apiClient.post("/fingerprints/arl/import_file/", formData, { headers: { "Content-Type": "multipart/form-data" } }) return response.data }, /** * 批量删除 ARL 指纹 */ async bulkDeleteARLFingerprints(ids: number[]): Promise { const response = await apiClient.post("/fingerprints/arl/bulk-delete/", { ids }) return response.data }, /** * 删除所有 ARL 指纹 */ async deleteAllARLFingerprints(): Promise { const response = await apiClient.post("/fingerprints/arl/delete-all/") return response.data }, /** * 导出 ARL 指纹（YAML 格式） */ async exportARLFingerprints(): Promise { const response = await apiClient.get("/fingerprints/arl/export/", { responseType: "blob" }) return response.data }, /** * 获取 ARL 指纹数量 */ async getARLCount(): Promise { const response = await apiClient.get("/fingerprints/arl/", { params: { pageSize: 1 } }) return response.data.total || 0 }, // ==================== 统计 ==================== /** * 获取所有指纹库统计 */ async getStats(): Promise { // 并行获取各指纹库数量 const [eholeCount, gobyCount, wappalyzerCount, fingersCount, fingerprinthubCount, arlCount] = await Promise.all([ this.getEholeCount(), this.getGobyCount(), this.getWappalyzerCount(), this.getFingersCount(), this.getFingerPrintHubCount(), this.getARLCount(), ]) return { ehole: eholeCount, goby: gobyCount, wappalyzer: wappalyzerCount, fingers: fingersCount, fingerprinthub: fingerprinthubCount, arl: arlCount, } }, } ================================================ FILE: frontend/services/global-blacklist.service.ts ================================================ import { api } from '@/lib/api-client' import { USE_MOCK, mockDelay, getMockGlobalBlacklist, updateMockGlobalBlacklist } from '@/mock' export interface GlobalBlacklistResponse { patterns: string[] } export interface UpdateGlobalBlacklistRequest { patterns: string[] } /** * Get global blacklist rules */ export async function getGlobalBlacklist(): Promise { if (USE_MOCK) { await mockDelay() return getMockGlobalBlacklist() } const res = await api.get('/blacklist/rules/') return res.data } /** * Update global blacklist rules (full replace) */ export async function updateGlobalBlacklist(data: UpdateGlobalBlacklistRequest): Promise { if (USE_MOCK) { await mockDelay() return updateMockGlobalBlacklist(data) } const res = await api.put('/blacklist/rules/', data) return res.data } ================================================ FILE: frontend/services/ip-address.service.ts ================================================ import { api } from "@/lib/api-client" import type { GetIPAddressesParams, GetIPAddressesResponse } from "@/types/ip-address.types" // Bulk delete response type export interface BulkDeleteResponse { deletedCount: number } export class IPAddressService { /** * Bulk delete IP addresses * POST /api/assets/ip-addresses/bulk-delete/ * Note: IP addresses are aggregated, so we pass IP strings instead of IDs */ static async bulkDelete(ips: string[]): Promise { const response = await api.post( `/assets/ip-addresses/bulk-delete/`, { ips } ) return response.data } static async getTargetIPAddresses( targetId: number, params?: GetIPAddressesParams ): Promise { const response = await api.get(`/targets/${targetId}/ip-addresses/`, { params: { page: params?.page || 1, pageSize: params?.pageSize || 10, ...(params?.filter && { filter: params.filter }), }, }) return response.data } static async getScanIPAddresses( scanId: number, params?: GetIPAddressesParams ): Promise { const response = await api.get(`/scans/${scanId}/ip-addresses/`, { params: { page: params?.page || 1, pageSize: params?.pageSize || 10, ...(params?.filter && { filter: params.filter }), }, }) return response.data } /** Export all IP addresses by target (text file, one per line) */ static async exportIPAddressesByTargetId(targetId: number): Promise { const response = await api.get(`/targets/${targetId}/ip-addresses/export/`, { responseType: 'blob', }) return response.data } /** Export all IP addresses by scan task (text file, one per line) */ static async exportIPAddressesByScanId(scanId: number): Promise { const response = await api.get(`/scans/${scanId}/ip-addresses/export/`, { responseType: 'blob', }) return response.data } } ================================================ FILE: frontend/services/notification-settings.service.ts ================================================ import { api } from '@/lib/api-client' import type { GetNotificationSettingsResponse, UpdateNotificationSettingsRequest, UpdateNotificationSettingsResponse, } from '@/types/notification-settings.types' export class NotificationSettingsService { static async getSettings(): Promise { const res = await api.get('/settings/notifications/') return res.data } static async updateSettings( data: UpdateNotificationSettingsRequest ): Promise { const res = await api.put('/settings/notifications/', data) return res.data } } ================================================ FILE: frontend/services/notification.service.ts ================================================ /** * Notification service * Handles all notification-related API requests */ import api from '@/lib/api-client' import type { Notification, GetNotificationsRequest, GetNotificationsResponse, } from '@/types/notification.types' import { USE_MOCK, mockDelay, getMockNotifications, getMockUnreadCount } from '@/mock' export class NotificationService { /** * Get notification list * 后端返回分页格式: { results, total, page, pageSize, totalPages } */ static async getNotifications( params: GetNotificationsRequest = {} ): Promise { if (USE_MOCK) { await mockDelay() return getMockNotifications(params) } const response = await api.get('/notifications/', { params, }) return response.data } /** * Mark all notifications as read * 后端返回: { updated: number } */ static async markAllAsRead(): Promise<{ updated: number }> { if (USE_MOCK) { await mockDelay() return { updated: 2 } } const response = await api.post<{ updated: number }>('/notifications/mark-all-as-read/') return response.data } /** * Get unread notification count * 后端返回: { count: number } */ static async getUnreadCount(): Promise<{ count: number }> { if (USE_MOCK) { await mockDelay() return getMockUnreadCount() } const response = await api.get<{ count: number }>('/notifications/unread-count/') return response.data } } ================================================ FILE: frontend/services/nuclei-git.service.ts ================================================ import { api } from "@/lib/api-client" import type { GetNucleiGitSettingsResponse, UpdateNucleiGitSettingsRequest, UpdateNucleiGitSettingsResponse, } from "@/types/nuclei-git.types" export class NucleiGitService { static async getSettings(): Promise { const res = await api.get("/settings/nuclei-templates-git/") return res.data } static async updateSettings( data: UpdateNucleiGitSettingsRequest ): Promise { const res = await api.put("/settings/nuclei-templates-git/", data) return res.data } } ================================================ FILE: frontend/services/nuclei-repo.api.ts ================================================ /** * Nuclei template repository API */ import { api } from "@/lib/api-client" const BASE_URL = "/nuclei/repos/" export interface NucleiRepoResponse { id: number name: string repoUrl: string localPath: string commitHash: string | null lastSyncedAt: string | null createdAt: string updatedAt: string } export interface CreateRepoPayload { name: string repoUrl: string } export interface UpdateRepoPayload { repoUrl?: string } export interface TemplateTreeResponse { roots: Array<{ type: "folder" | "file" name: string path: string children?: Array<{ type: "folder" | "file" name: string path: string children?: unknown[] }> }> } export interface TemplateContentResponse { path: string name: string content: string } /** Paginated response format */ interface PaginatedResponse { results: T[] total: number page: number pageSize: number totalPages: number } export const nucleiRepoApi = { /** Get repository list */ listRepos: async (): Promise => { // Repositories are usually not many, get all const response = await api.get>(BASE_URL, { params: { pageSize: 1000 } }) // Backend returns paginated format, take results array return response.data.results }, /** Get single repository */ getRepo: async (repoId: number): Promise => { const response = await api.get(`${BASE_URL}${repoId}/`) return response.data }, /** Create repository */ createRepo: async (payload: CreateRepoPayload): Promise => { const response = await api.post(BASE_URL, payload) return response.data }, /** Update repository (partial update) */ updateRepo: async (repoId: number, payload: UpdateRepoPayload): Promise => { const response = await api.patch(`${BASE_URL}${repoId}/`, payload) return response.data }, /** Delete repository */ deleteRepo: async (repoId: number): Promise => { await api.delete(`${BASE_URL}${repoId}/`) }, /** Refresh repository (Git clone/pull) */ refreshRepo: async (repoId: number): Promise<{ message: string; result: unknown }> => { const response = await api.post<{ message: string; result: unknown }>( `${BASE_URL}${repoId}/refresh/` ) return response.data }, /** Get template directory tree */ getTemplateTree: async (repoId: number): Promise => { const response = await api.get( `${BASE_URL}${repoId}/templates/tree/` ) return response.data }, /** Get template content */ getTemplateContent: async (repoId: number, path: string): Promise => { const response = await api.get( `${BASE_URL}${repoId}/templates/content/`, { params: { path } } ) return response.data }, } ================================================ FILE: frontend/services/nuclei.service.ts ================================================ import { api } from "@/lib/api-client" import type { NucleiTemplateTreeNode, NucleiTemplateContent, NucleiTemplateTreeResponse, UploadNucleiTemplatePayload, SaveNucleiTemplatePayload, } from "@/types/nuclei.types" export async function getNucleiTemplateTree(): Promise { const response = await api.get("/nuclei/templates/tree/") return response.data.roots || [] } export async function getNucleiTemplateContent(path: string): Promise { const response = await api.get("/nuclei/templates/content/", { params: { path }, }) return response.data } export async function refreshNucleiTemplates(): Promise { await api.post("/nuclei/templates/refresh/") } export async function saveNucleiTemplate(payload: SaveNucleiTemplatePayload): Promise { await api.post("/nuclei/templates/save/", payload) } export async function uploadNucleiTemplate(payload: UploadNucleiTemplatePayload): Promise { const formData = new FormData() formData.append("scope", payload.scope) formData.append("file", payload.file) await api.post("/nuclei/templates/upload/", formData, { headers: { "Content-Type": undefined, }, }) } ================================================ FILE: frontend/services/organization.service.ts ================================================ import { api } from "@/lib/api-client" import type { Organization, OrganizationsResponse } from "@/types/organization.types" import { USE_MOCK, mockDelay, getMockOrganizations, mockOrganizations } from '@/mock' export class OrganizationService { // ========== Organization basic operations ========== /** * Get organization list * @param params - Query parameter object * @param params.page - Current page number, 1-based * @param params.pageSize - Page size * @returns Promise> * @description Backend is fixed to sort by update time in descending order, does not support custom sorting */ static async getOrganizations(params?: { page?: number pageSize?: number search?: string }): Promise> { if (USE_MOCK) { await mockDelay() return getMockOrganizations(params) } const response = await api.get>( '/organizations/', { params } ) return response.data } /** * Get single organization details * @param id - Organization ID * @returns Promise */ static async getOrganizationById(id: string | number): Promise { if (USE_MOCK) { await mockDelay() const org = mockOrganizations.find(o => o.id === Number(id)) if (!org) throw new Error('Organization not found') return org } const response = await api.get(`/organizations/${id}/`) return response.data } /** * Get organization's target list * @param id - Organization ID * @param params - Query parameters * @returns Promise */ static async getOrganizationTargets(id: string | number, params?: { page?: number pageSize?: number search?: string }): Promise { const response = await api.get( `/organizations/${id}/targets/`, { params } ) return response.data } /** * Create new organization * @param data - Organization information object * @param data.name - Organization name * @param data.description - Organization description * @returns Promise - Organization information object after successful creation */ static async createOrganization(data: { name: string description: string }): Promise { const response = await api.post('/organizations/', data) return response.data } /** * Update organization information * @param data - Organization information object * @param data.id - Organization ID, number or string type * @param data.name - Organization name * @param data.description - Organization description * @returns Promise - Organization information object after successful update */ static async updateOrganization(data: { id: string | number name: string description: string }): Promise { const response = await api.put(`/organizations/${data.id}/`, { name: data.name, description: data.description }) return response.data } /** * Delete organization (using separate DELETE API) * * @param id - Organization ID, number type * @returns Promise */ static async deleteOrganization(id: number): Promise<{ message: string organizationId: number organizationName: string deletedCount: number deletedOrganizations: string[] detail: { phase1: string phase2: string } }> { const response = await api.delete<{ message: string organizationId: number organizationName: string deletedCount: number deletedOrganizations: string[] detail: { phase1: string phase2: string } }>(`/organizations/${id}/`) return response.data } /** * Batch delete organizations * @param organizationIds - Array of organization IDs, number type * @returns Promise<{ message: string; deletedOrganizationCount: number }> * * Note: Deleting organizations will not delete domain entities, only unlink associations */ static async batchDeleteOrganizations(organizationIds: number[]): Promise<{ message: string deletedCount: number deletedOrganizations: string[] }> { const response = await api.post<{ message: string deletedCount: number deletedOrganizations: string[] }>('/organizations/bulk-delete/', { ids: organizationIds // Backend expects 'ids' parameter }) return response.data } // ========== Organization and target association operations ========== /** * Link target to organization (single) * @param data - Link request object * @param data.organizationId - Organization ID * @param data.targetId - Target ID * @returns Promise<{ message: string }> */ static async linkTargetToOrganization(data: { organizationId: number targetId: number }): Promise<{ message: string }> { const response = await api.post<{ message: string }>( `/organizations/${data.organizationId}/targets/`, { targetId: data.targetId // Interceptor will convert to target_id } ) return response.data } /** * Remove targets from organization (batch) * @param data - Remove request object * @param data.organizationId - Organization ID * @param data.targetIds - Array of target IDs * @returns Promise<{ unlinkedCount: number; message: string }> */ static async unlinkTargetsFromOrganization(data: { organizationId: number targetIds: number[] }): Promise<{ unlinkedCount: number; message: string }> { const response = await api.post<{ unlinkedCount: number; message: string }>( `/organizations/${data.organizationId}/unlink_targets/`, { targetIds: data.targetIds // Interceptor will convert to target_ids } ) return response.data } } ================================================ FILE: frontend/services/scan.service.ts ================================================ import { api } from '@/lib/api-client' import type { GetScansParams, GetScansResponse, InitiateScanRequest, InitiateScanResponse, QuickScanRequest, QuickScanResponse, ScanRecord } from '@/types/scan.types' import { USE_MOCK, mockDelay, getMockScans, getMockScanById, mockScanStatistics } from '@/mock' /** * Get scan list */ export async function getScans(params?: GetScansParams): Promise { if (USE_MOCK) { await mockDelay() return getMockScans(params) } const res = await api.get('/scans/', { params }) return res.data } /** * Get single scan details * @param id - Scan ID * @returns Scan details */ export async function getScan(id: number): Promise { if (USE_MOCK) { await mockDelay() const scan = getMockScanById(id) if (!scan) throw new Error('Scan not found') return scan } const res = await api.get(`/scans/${id}/`) return res.data } /** * Initiate scan task (for existing targets/organizations) * @param data - Scan request parameters * @returns Scan task information */ export async function initiateScan(data: InitiateScanRequest): Promise { const res = await api.post('/scans/initiate/', data) return res.data } /** * Quick scan (automatically create target and scan immediately) * @param data - Quick scan request parameters * @returns Scan task information */ export async function quickScan(data: QuickScanRequest): Promise { const res = await api.post('/scans/quick/', data) return res.data } /** * Delete single scan record * @param id - Scan ID */ export async function deleteScan(id: number): Promise { await api.delete(`/scans/${id}/`) } /** * Bulk delete scan records * @param ids - Array of scan IDs * @returns Deletion result */ export async function bulkDeleteScans(ids: number[]): Promise<{ message: string; deletedCount: number }> { const res = await api.post<{ message: string; deletedCount: number }>('/scans/bulk-delete/', { ids }) return res.data } /** * Stop scan task * @param id - Scan ID * @returns Operation result */ export async function stopScan(id: number): Promise<{ message: string; revokedTaskCount: number }> { const res = await api.post<{ message: string; revokedTaskCount: number }>(`/scans/${id}/stop/`) return res.data } /** * Scan statistics data type */ export interface ScanStatistics { total: number running: number completed: number failed: number totalVulns: number totalSubdomains: number totalEndpoints: number totalWebsites: number totalAssets: number } /** * Get scan statistics data * @returns Statistics data */ export async function getScanStatistics(): Promise { if (USE_MOCK) { await mockDelay() return mockScanStatistics } const res = await api.get('/scans/statistics/') return res.data } /** * Scan log entry type */ export interface ScanLog { id: number level: 'info' | 'warning' | 'error' content: string createdAt: string } /** * Get scan logs response type */ export interface GetScanLogsResponse { results: ScanLog[] hasMore: boolean } /** * Get scan logs params type */ export interface GetScanLogsParams { afterId?: number limit?: number } /** * Get scan logs * @param scanId - Scan ID * @param params - Query parameters (afterId for cursor, limit for max results) * @returns Scan logs with hasMore indicator */ export async function getScanLogs(scanId: number, params?: GetScanLogsParams): Promise { const res = await api.get(`/scans/${scanId}/logs/`, { params }) return res.data } ================================================ FILE: frontend/services/scheduled-scan.service.ts ================================================ import { api } from '@/lib/api-client' import type { GetScheduledScansResponse, ScheduledScan, CreateScheduledScanRequest, UpdateScheduledScanRequest } from '@/types/scheduled-scan.types' import { USE_MOCK, mockDelay, getMockScheduledScans, getMockScheduledScanById } from '@/mock' /** * Get scheduled scan list */ export async function getScheduledScans(params?: { page?: number pageSize?: number search?: string targetId?: number organizationId?: number }): Promise { if (USE_MOCK) { await mockDelay() return getMockScheduledScans(params) } // Convert camelCase to snake_case for query params (djangorestframework-camel-case doesn't convert query params) const apiParams: Record = {} if (params?.page) apiParams.page = params.page if (params?.pageSize) apiParams.pageSize = params.pageSize if (params?.search) apiParams.search = params.search if (params?.targetId) apiParams.target_id = params.targetId if (params?.organizationId) apiParams.organization_id = params.organizationId const res = await api.get('/scheduled-scans/', { params: apiParams }) return res.data } /** * Get scheduled scan details */ export async function getScheduledScan(id: number): Promise { if (USE_MOCK) { await mockDelay() const scan = getMockScheduledScanById(id) if (!scan) throw new Error('Scheduled scan not found') return scan } const res = await api.get(`/scheduled-scans/${id}/`) return res.data } /** * Create scheduled scan */ export async function createScheduledScan(data: CreateScheduledScanRequest): Promise<{ message: string scheduledScan: ScheduledScan }> { const res = await api.post<{ message: string; scheduledScan: ScheduledScan }>('/scheduled-scans/', data) return res.data } /** * Update scheduled scan */ export async function updateScheduledScan(id: number, data: UpdateScheduledScanRequest): Promise<{ message: string scheduledScan: ScheduledScan }> { const res = await api.put<{ message: string; scheduledScan: ScheduledScan }>(`/scheduled-scans/${id}/`, data) return res.data } /** * Delete scheduled scan */ export async function deleteScheduledScan(id: number): Promise<{ message: string; id: number }> { const res = await api.delete<{ message: string; id: number }>(`/scheduled-scans/${id}/`) return res.data } /** * Toggle scheduled scan enabled status */ export async function toggleScheduledScan(id: number, isEnabled: boolean): Promise<{ message: string scheduledScan: ScheduledScan }> { const res = await api.post<{ message: string; scheduledScan: ScheduledScan }>( `/scheduled-scans/${id}/toggle/`, { isEnabled } ) return res.data } ================================================ FILE: frontend/services/screenshot.service.ts ================================================ import { api } from "@/lib/api-client" // Screenshot type export interface Screenshot { id: number url: string statusCode: number | null createdAt: string updatedAt: string } // Screenshot snapshot type (for scan results) export interface ScreenshotSnapshot { id: number url: string statusCode: number | null createdAt: string } // Paginated response export interface PaginatedResponse { results: T[] total: number page: number pageSize: number totalPages: number } // Bulk delete response export interface BulkDeleteResponse { deletedCount: number } /** * Screenshot related API service */ export class ScreenshotService { /** * Get screenshots by target * GET /api/targets/{target_id}/screenshots/ */ static async getByTarget( targetId: number, params?: { page?: number; pageSize?: number; filter?: string } ): Promise> { const response = await api.get>( `/targets/${targetId}/screenshots/`, { params } ) return response.data } /** * Get screenshot image URL * Returns the URL to fetch the image binary */ static getImageUrl(screenshotId: number): string { return `/api/assets/screenshots/${screenshotId}/image/` } /** * Get screenshot snapshots by scan * GET /api/scans/{scan_id}/screenshots/ */ static async getByScan( scanId: number, params?: { page?: number; pageSize?: number; filter?: string } ): Promise> { const response = await api.get>( `/scans/${scanId}/screenshots/`, { params } ) return response.data } /** * Get screenshot snapshot image URL */ static getSnapshotImageUrl(scanId: number, snapshotId: number): string { return `/api/scans/${scanId}/screenshots/${snapshotId}/image/` } /** * Bulk delete screenshots * POST /api/assets/screenshots/bulk-delete/ */ static async bulkDelete(ids: number[]): Promise { const response = await api.post( `/assets/screenshots/bulk-delete/`, { ids } ) return response.data } } ================================================ FILE: frontend/services/search.service.ts ================================================ import { api } from "@/lib/api-client" import type { SearchParams, SearchResponse, AssetType } from "@/types/search.types" /** * 资产搜索 API 服务 * * 搜索语法： * - field="value" 模糊匹配（ILIKE %value%） * - field=="value" 精确匹配 * - field!="value" 不等于 * - && AND 连接 * - || OR 连接 * * 支持的资产类型： * - website: 站点（默认） * - endpoint: 端点 * * 示例： * - host="api" && tech="nginx" * - tech="vue" || tech="react" * - status=="200" && host!="test" */ export class SearchService { /** * 搜索资产 * GET /api/assets/search/ */ static async search(params: SearchParams): Promise { const queryParams = new URLSearchParams() if (params.q) queryParams.append('q', params.q) if (params.asset_type) queryParams.append('asset_type', params.asset_type) if (params.page) queryParams.append('page', params.page.toString()) if (params.pageSize) queryParams.append('pageSize', params.pageSize.toString()) const response = await api.get( `/assets/search/?${queryParams.toString()}` ) return response.data } /** * 导出搜索结果为 CSV * GET /api/assets/search/export/ * * 使用浏览器原生下载，支持显示下载进度 */ static async exportCSV(query: string, assetType: AssetType): Promise { const queryParams = new URLSearchParams() queryParams.append('q', query) queryParams.append('asset_type', assetType) // 直接打开下载链接，使用浏览器原生下载管理器 // 这样可以显示下载进度，且不会阻塞页面 const downloadUrl = `/api/assets/search/export/?${queryParams.toString()}` window.open(downloadUrl, '_blank') } } ================================================ FILE: frontend/services/subdomain.service.ts ================================================ import { api } from "@/lib/api-client" import type { Subdomain, GetSubdomainsParams, GetSubdomainsResponse, GetAllSubdomainsParams, GetAllSubdomainsResponse, GetSubdomainByIDResponse, BatchCreateSubdomainsResponse } from "@/types/subdomain.types" import { USE_MOCK, mockDelay, getMockSubdomains, getMockSubdomainById } from '@/mock' // Bulk create subdomains response type export interface BulkCreateSubdomainsResponse { message: string createdCount: number skippedCount: number invalidCount: number mismatchedCount: number totalReceived: number } export class SubdomainService { /** * Bulk create subdomains (bind to target) * POST /api/targets/{target_id}/subdomains/bulk-create/ */ static async bulkCreateSubdomains( targetId: number, subdomains: string[] ): Promise { const response = await api.post( `/targets/${targetId}/subdomains/bulk-create/`, { subdomains } ) return response.data } // ========== Subdomain basic operations ========== /** * Bulk create subdomains (bind to assets) */ static async createSubdomains(data: { domains: Array<{ name: string }> assetId: number }): Promise { const response = await api.post('/domains/create/', { domains: data.domains, assetId: data.assetId // [OK] CamelCase, interceptor converts to asset_id }) return response.data } /** * Get single subdomain details */ static async getSubdomainById(id: string | number): Promise { if (USE_MOCK) { await mockDelay() const subdomain = getMockSubdomainById(Number(id)) if (!subdomain) throw new Error('Subdomain not found') return subdomain } const response = await api.get(`/domains/${id}/`) return response.data } /** * Update subdomain information (PATCH) */ static async updateSubdomain(data: { id: number name?: string description?: string }): Promise { const requestBody: any = {} if (data.name !== undefined) requestBody.name = data.name if (data.description !== undefined) requestBody.description = data.description const response = await api.patch(`/domains/${data.id}/`, requestBody) return response.data } /** Bulk delete subdomains (supports single or multiple, using unified interface) */ static async bulkDeleteSubdomains( ids: number[] ): Promise<{ message: string deletedCount: number requestedIds: number[] cascadeDeleted: Record }> { const response = await api.post<{ message: string deletedCount: number requestedIds: number[] cascadeDeleted: Record }>( `/assets/subdomains/bulk-delete/`, { ids } ) return response.data } /** Delete single subdomain (using separate DELETE API) */ static async deleteSubdomain(id: number): Promise<{ message: string subdomainId: number subdomainName: string deletedCount: number deletedSubdomains: string[] detail: { phase1: string phase2: string } }> { const response = await api.delete<{ message: string subdomainId: number subdomainName: string deletedCount: number deletedSubdomains: string[] detail: { phase1: string phase2: string } }>(`/assets/subdomains/${id}/`) return response.data } /** Bulk delete subdomains (alias, compatible with old code) */ static async batchDeleteSubdomains(ids: number[]): Promise<{ message: string deletedCount: number requestedIds: number[] cascadeDeleted: Record }> { return this.bulkDeleteSubdomains(ids) } /** Batch remove subdomains from organization */ static async batchDeleteSubdomainsFromOrganization(data: { organizationId: number domainIds: number[] }): Promise<{ message: string successCount: number failedCount: number }> { const response = await api.post( `/organizations/${data.organizationId}/domains/batch-remove/`, { domainIds: data.domainIds, // Interceptor converts to domain_ids } ) return response.data } /** Get organization's subdomain list (server-side pagination) */ static async getSubdomainsByOrgId( organizationId: number, params?: { page?: number pageSize?: number } ): Promise { const response = await api.get( `/organizations/${organizationId}/domains/`, { params: { page: params?.page || 1, pageSize: params?.pageSize || 10, } } ) return response.data } /** Get all subdomains list (server-side pagination) */ static async getAllSubdomains(params?: GetAllSubdomainsParams): Promise { if (USE_MOCK) { await mockDelay() return getMockSubdomains(params) } const response = await api.get('/domains/', { params: { page: params?.page || 1, pageSize: params?.pageSize || 10, } }) return response.data } /** Get target's subdomain list (supports pagination and filtering) */ static async getSubdomainsByTargetId( targetId: number, params?: { page?: number pageSize?: number filter?: string } ): Promise { const response = await api.get(`/targets/${targetId}/subdomains/`, { params: { page: params?.page || 1, pageSize: params?.pageSize || 10, ...(params?.filter && { filter: params.filter }), } }) return response.data } /** Get scan's subdomain list (supports pagination and filtering) */ static async getSubdomainsByScanId( scanId: number, params?: { page?: number pageSize?: number filter?: string } ): Promise<{ results: Array<{ id: number name: string createdAt: string // Backend automatically converts to camelCase cname: string[] isCdn: boolean // Backend automatically converts to camelCase cdnName: string // Backend automatically converts to camelCase ports: Array<{ number: number serviceName: string description: string isUncommon: boolean }> ipAddresses: string[] // IP address list }> total: number page: number pageSize: number // Backend automatically converts to camelCase totalPages: number // Backend automatically converts to camelCase }> { const response = await api.get(`/scans/${scanId}/subdomains/`, { params: { page: params?.page || 1, pageSize: params?.pageSize || 10, ...(params?.filter && { filter: params.filter }), } }) return response.data as any } /** Export all subdomain names by target (text file, one per line) */ static async exportSubdomainsByTargetId(targetId: number): Promise { const response = await api.get(`/targets/${targetId}/subdomains/export/`, { responseType: 'blob', }) return response.data } /** Export all subdomain names by scan task (text file, one per line) */ static async exportSubdomainsByScanId(scanId: number): Promise { const response = await api.get(`/scans/${scanId}/subdomains/export/`, { responseType: 'blob', }) return response.data } } ================================================ FILE: frontend/services/system-log.service.ts ================================================ import apiClient from "@/lib/api-client" import type { SystemLogResponse, LogFilesResponse } from "@/types/system-log.types" const BASE_URL = "/system/logs" export const systemLogService = { /** * 获取日志文件列表 */ async getLogFiles(): Promise { const response = await apiClient.get(`${BASE_URL}/files/`) return response.data }, /** * 获取日志内容 */ async getSystemLogs(params?: { file?: string; lines?: number }): Promise { const searchParams = new URLSearchParams() if (params?.file != null) { searchParams.set("file", params.file) } if (params?.lines != null) { searchParams.set("lines", String(params.lines)) } const query = searchParams.toString() const url = query ? `${BASE_URL}/?${query}` : `${BASE_URL}/` const response = await apiClient.get(url) return response.data }, } ================================================ FILE: frontend/services/target.service.ts ================================================ /** * Target Service - Target management API */ import { api } from '@/lib/api-client' import type { Target, TargetsResponse, CreateTargetRequest, UpdateTargetRequest, BatchDeleteTargetsRequest, BatchDeleteTargetsResponse, BatchCreateTargetsRequest, BatchCreateTargetsResponse, } from '@/types/target.types' import { USE_MOCK, mockDelay, getMockTargets, getMockTargetById, getMockTargetBlacklist, updateMockTargetBlacklist } from '@/mock' /** * Get all targets list (paginated) */ export async function getTargets(page = 1, pageSize = 10, search?: string): Promise { if (USE_MOCK) { await mockDelay() return getMockTargets({ page, pageSize, search }) } const response = await api.get('/targets/', { params: { page, pageSize, ...(search && { search }), }, }) return response.data } /** * Get single target details */ export async function getTargetById(id: number): Promise { if (USE_MOCK) { await mockDelay() const target = getMockTargetById(id) if (!target) throw new Error('Target not found') return target } const response = await api.get(`/targets/${id}/`) return response.data } /** * Create target */ export async function createTarget(data: CreateTargetRequest): Promise { const response = await api.post('/targets/', data) return response.data } /** * Update target */ export async function updateTarget(id: number, data: UpdateTargetRequest): Promise { const response = await api.patch(`/targets/${id}/`, data) return response.data } /** * Delete single target (using separate DELETE API) */ export async function deleteTarget(id: number): Promise<{ message: string targetId: number targetName: string deletedCount: number deletedTargets: string[] detail: { phase1: string phase2: string } }> { const response = await api.delete<{ message: string targetId: number targetName: string deletedCount: number deletedTargets: string[] detail: { phase1: string phase2: string } }>(`/targets/${id}/`) return response.data } /** * Batch delete targets */ export async function batchDeleteTargets( data: BatchDeleteTargetsRequest ): Promise { const response = await api.post('/targets/bulk-delete/', data) return response.data } /** * Batch create targets */ export async function batchCreateTargets( data: BatchCreateTargetsRequest ): Promise { const response = await api.post('/targets/batch_create/', data) return response.data } /** * Get target's organization list */ export async function getTargetOrganizations(id: number, page = 1, pageSize = 10) { const response = await api.get(`/targets/${id}/organizations/`, { params: { page, pageSize } }) return response.data } /** * Link organizations to target */ export async function linkTargetOrganizations( id: number, organizationIds: number[] ): Promise<{ message: string }> { const response = await api.post<{ message: string }>(`/targets/${id}/organizations/`, { organizationIds }) return response.data } /** * Unlink target from organizations */ export async function unlinkTargetOrganizations( id: number, organizationIds: number[] ): Promise<{ message: string }> { const response = await api.post<{ message: string }>(`/targets/${id}/organizations/unlink/`, { organizationIds }) return response.data } /** * Get target's endpoint list */ export async function getTargetEndpoints( id: number, page = 1, pageSize = 10, filter?: string ): Promise { const response = await api.get(`/targets/${id}/endpoints/`, { params: { page, pageSize, ...(filter && { filter }), }, }) return response.data } /** * Get target's blacklist rules */ export async function getTargetBlacklist(id: number): Promise<{ patterns: string[] }> { if (USE_MOCK) { await mockDelay() return getMockTargetBlacklist(id) } const response = await api.get<{ patterns: string[] }>(`/targets/${id}/blacklist/`) return response.data } /** * Update target's blacklist rules (full replace) */ export async function updateTargetBlacklist( id: number, patterns: string[] ): Promise<{ count: number }> { if (USE_MOCK) { await mockDelay() const result = updateMockTargetBlacklist(id, { patterns }) return { count: result.patterns.length } } const response = await api.put<{ count: number }>(`/targets/${id}/blacklist/`, { patterns }) return response.data } ================================================ FILE: frontend/services/tool.service.ts ================================================ import { api } from "@/lib/api-client" import type { Tool, GetToolsResponse, CreateToolRequest, UpdateToolRequest, GetToolsParams } from "@/types/tool.types" export class ToolService { /** * Get tool list * @param params - Query parameter object * @param params.page - Current page number, 1-based * @param params.pageSize - Page size * @returns Promise * @description Backend is fixed to sort by update time in descending order, does not support custom sorting */ static async getTools(params?: GetToolsParams): Promise { const response = await api.get( '/tools/', { params } ) return response.data } /** * Create new tool * @param data - Tool information object * @param data.name - Tool name * @param data.repoUrl - Repository URL * @param data.version - Version number * @param data.description - Tool description * @returns Promise<{ tool: Tool }> */ static async createTool(data: CreateToolRequest): Promise<{ tool: Tool }> { const response = await api.post<{ tool: Tool }>('/tools/create/', data) return response.data } /** * Update tool * @param id - Tool ID * @param data - Updated tool information (all fields optional) * @returns Promise<{ tool: Tool }> */ static async updateTool(id: number, data: UpdateToolRequest): Promise<{ tool: Tool }> { const response = await api.put<{ tool: Tool }>(`/tools/${id}/`, data) return response.data } /** * Delete tool * @param id - Tool ID * @returns Promise */ static async deleteTool(id: number): Promise { await api.delete(`/tools/${id}/`) } } ================================================ FILE: frontend/services/version.service.ts ================================================ import { api } from '@/lib/api-client' import type { VersionInfo, UpdateCheckResult } from '@/types/version.types' export class VersionService { static async getVersion(): Promise { const res = await api.get('/system/version/') return res.data } static async checkUpdate(): Promise { const res = await api.get('/system/check-update/') return res.data } } ================================================ FILE: frontend/services/vulnerability.service.ts ================================================ import { api } from "@/lib/api-client" import type { GetVulnerabilitiesParams, Vulnerability } from "@/types/vulnerability.types" import { USE_MOCK, mockDelay, getMockVulnerabilities } from '@/mock' export class VulnerabilityService { /** Get all vulnerabilities list (used by global vulnerabilities page) */ static async getAllVulnerabilities( params: GetVulnerabilitiesParams, filter?: string, ): Promise { if (USE_MOCK) { await mockDelay() return getMockVulnerabilities(params) } const response = await api.get(`/assets/vulnerabilities/`, { params: { ...params, filter }, }) return response.data } /** Get single vulnerability by ID */ static async getVulnerabilityById(id: number): Promise { const response = await api.get(`/assets/vulnerabilities/${id}/`) return response.data } /** Get vulnerability snapshot list by scan task (used by scan history page) */ static async getVulnerabilitiesByScanId( scanId: number, params: GetVulnerabilitiesParams, filter?: string, ): Promise { const response = await api.get(`/scans/${scanId}/vulnerabilities/`, { params: { ...params, filter }, }) return response.data } /** Get vulnerability asset list by target (used by target details page) */ static async getVulnerabilitiesByTargetId( targetId: number, params: GetVulnerabilitiesParams, filter?: string, ): Promise { const response = await api.get(`/targets/${targetId}/vulnerabilities/`, { params: { ...params, filter }, }) return response.data } } ================================================ FILE: frontend/services/website.service.ts ================================================ import { api } from "@/lib/api-client" // Bulk create websites response type export interface BulkCreateWebsitesResponse { message: string createdCount: number } // Bulk delete response type export interface BulkDeleteResponse { deletedCount: number } /** * Website related API service * All frontend website interface calls should be centralized here */ export class WebsiteService { /** * Bulk delete websites * POST /api/assets/websites/bulk-delete/ */ static async bulkDelete(ids: number[]): Promise { const response = await api.post( `/assets/websites/bulk-delete/`, { ids } ) return response.data } /** * Bulk create websites (bind to target) * POST /api/targets/{target_id}/websites/bulk-create/ */ static async bulkCreateWebsites( targetId: number, urls: string[] ): Promise { const response = await api.post( `/targets/${targetId}/websites/bulk-create/`, { urls } ) return response.data } /** Export all website URLs by target (text file, one per line) */ static async exportWebsitesByTargetId(targetId: number): Promise { const response = await api.get(`/targets/${targetId}/websites/export/`, { responseType: "blob", }) return response.data } /** Export all website URLs by scan task (text file, one per line) */ static async exportWebsitesByScanId(scanId: number): Promise { const response = await api.get(`/scans/${scanId}/websites/export/`, { responseType: "blob", }) return response.data } } ================================================ FILE: frontend/services/wordlist.service.ts ================================================ import apiClient from "@/lib/api-client" import type { GetWordlistsResponse, Wordlist } from "@/types/wordlist.types" // Dictionary (Wordlist) API service // Get wordlist list export async function getWordlists(page = 1, pageSize = 10): Promise { const response = await apiClient.get("/wordlists/", { params: { page, pageSize, }, }) return response.data } // Upload wordlist file export async function uploadWordlist(payload: { name: string description?: string file: File }): Promise { const formData = new FormData() formData.append("name", payload.name) if (payload.description) { formData.append("description", payload.description) } formData.append("file", payload.file) const response = await apiClient.post("/wordlists/", formData, { headers: { "Content-Type": "multipart/form-data", }, }) return response.data } // Delete wordlist export async function deleteWordlist(id: number): Promise { await apiClient.delete(`/wordlists/${id}/`) } // Get wordlist content export async function getWordlistContent(id: number): Promise { const response = await apiClient.get<{ content: string }>(`/wordlists/${id}/content/`) return response.data.content } // Update wordlist content export async function updateWordlistContent(id: number, content: string): Promise { const response = await apiClient.put(`/wordlists/${id}/content/`, { content }) return response.data } ================================================ FILE: frontend/services/worker.service.ts ================================================ /** * Worker node management API service */ import apiClient from '@/lib/api-client' import type { WorkerNode, WorkersResponse, CreateWorkerRequest, UpdateWorkerRequest, } from '@/types/worker.types' import { USE_MOCK, mockDelay, getMockWorkers, getMockWorkerById } from '@/mock' const BASE_URL = '/workers' export const workerService = { /** * Get Worker list */ async getWorkers(page = 1, pageSize = 10): Promise { if (USE_MOCK) { await mockDelay() return getMockWorkers(page, pageSize) } const response = await apiClient.get( `${BASE_URL}/?page=${page}&page_size=${pageSize}` ) return response.data }, /** * Get single Worker details */ async getWorker(id: number): Promise { if (USE_MOCK) { await mockDelay() const worker = getMockWorkerById(id) if (!worker) throw new Error('Worker not found') return worker } const response = await apiClient.get(`${BASE_URL}/${id}/`) return response.data }, /** * Create Worker node */ async createWorker(data: CreateWorkerRequest): Promise { const response = await apiClient.post(`${BASE_URL}/`, { name: data.name, ip_address: data.ipAddress, ssh_port: data.sshPort ?? 22, username: data.username ?? 'root', password: data.password, }) return response.data }, /** * Update Worker node */ async updateWorker(id: number, data: UpdateWorkerRequest): Promise { const response = await apiClient.patch(`${BASE_URL}/${id}/`, { name: data.name, ssh_port: data.sshPort, username: data.username, password: data.password, }) return response.data }, /** * Delete Worker node */ async deleteWorker(id: number): Promise { await apiClient.delete(`${BASE_URL}/${id}/`) }, /** * Deploy Worker node (placeholder implementation, currently only used to eliminate frontend type errors) */ async deployWorker(id: number): Promise { return Promise.reject(new Error(`Worker deploy is not implemented for id=${id}`)) }, /** * Restart Worker */ async restartWorker(id: number): Promise<{ message: string }> { const response = await apiClient.post<{ message: string }>(`${BASE_URL}/${id}/restart/`) return response.data }, /** * Stop Worker */ async stopWorker(id: number): Promise<{ message: string }> { const response = await apiClient.post<{ message: string }>(`${BASE_URL}/${id}/stop/`) return response.data }, } ================================================ FILE: frontend/styles/themes/bubblegum.css ================================================ /** * Bubblegum 主题 - 粉色泡泡糖风格（亮色） */ [data-theme="bubblegum"] { --background: oklch(0.9399 0.0203 345.6985); --foreground: oklch(0.4712 0 0); --card: oklch(0.9498 0.0500 86.8891); --card-foreground: oklch(0.4712 0 0); --popover: oklch(1.0000 0 0); --popover-foreground: oklch(0.4712 0 0); --primary: oklch(0.6209 0.1801 348.1385); --primary-foreground: oklch(1.0000 0 0); --secondary: oklch(0.8095 0.0694 198.1863); --secondary-foreground: oklch(0.3211 0 0); --muted: oklch(0.8800 0.0504 212.0952); --muted-foreground: oklch(0.5795 0 0); --accent: oklch(0.9195 0.0801 87.6670); --accent-foreground: oklch(0.3211 0 0); --destructive: oklch(0.7091 0.1697 21.9551); --destructive-foreground: oklch(1.0000 0 0); --border: oklch(0.6209 0.1801 348.1385); --input: oklch(0.9189 0 0); --ring: oklch(0.7002 0.1597 350.7532); --chart-1: oklch(0.7002 0.1597 350.7532); --chart-2: oklch(0.8189 0.0799 212.0892); --chart-3: oklch(0.9195 0.0801 87.6670); --chart-4: oklch(0.7998 0.1110 348.1791); --chart-5: oklch(0.6197 0.1899 353.9091); --sidebar: oklch(0.9140 0.0424 343.0913); --sidebar-foreground: oklch(0.3211 0 0); --sidebar-primary: oklch(0.6559 0.2118 354.3084); --sidebar-primary-foreground: oklch(1.0000 0 0); --sidebar-accent: oklch(0.8228 0.1095 346.0184); --sidebar-accent-foreground: oklch(0.3211 0 0); --sidebar-border: oklch(0.9464 0.0327 307.1745); --sidebar-ring: oklch(0.6559 0.2118 354.3084); --font-sans: Poppins, sans-serif; --font-serif: Lora, serif; --font-mono: Fira Code, monospace; --radius: 0.4rem; --shadow-color: hsl(325.78 58.18% 56.86% / 0.5); --shadow-2xs: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 0.50); --shadow-xs: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 0.50); --shadow-sm: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 1.00); --shadow: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 1.00); --shadow-md: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 1.00); --shadow-lg: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 1.00); --shadow-xl: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 1.00); --shadow-2xl: 3px 3px 0px 0px hsl(325.78 58.18% 56.86% / 1.00); --tracking-normal: 0em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/clean-slate.css ================================================ /** * Clean Slate 主题 - 简洁蓝灰风格（亮色） */ [data-theme="clean-slate"] { --background: oklch(0.9842 0.0034 247.8575); --foreground: oklch(0.2795 0.0368 260.0310); --card: oklch(1.0000 0 0); --card-foreground: oklch(0.2795 0.0368 260.0310); --popover: oklch(1.0000 0 0); --popover-foreground: oklch(0.2795 0.0368 260.0310); --primary: oklch(0.5854 0.2041 277.1173); --primary-foreground: oklch(1.0000 0 0); --secondary: oklch(0.9276 0.0058 264.5313); --secondary-foreground: oklch(0.3729 0.0306 259.7328); --muted: oklch(0.9670 0.0029 264.5419); --muted-foreground: oklch(0.5510 0.0234 264.3637); --accent: oklch(0.9299 0.0334 272.7879); --accent-foreground: oklch(0.3729 0.0306 259.7328); --destructive: oklch(0.6368 0.2078 25.3313); --destructive-foreground: oklch(1.0000 0 0); --border: oklch(0.8717 0.0093 258.3382); --input: oklch(0.8717 0.0093 258.3382); --ring: oklch(0.5854 0.2041 277.1173); --chart-1: oklch(0.5854 0.2041 277.1173); --chart-2: oklch(0.5106 0.2301 276.9656); --chart-3: oklch(0.4568 0.2146 277.0229); --chart-4: oklch(0.3984 0.1773 277.3662); --chart-5: oklch(0.3588 0.1354 278.6973); --sidebar: oklch(0.9670 0.0029 264.5419); --sidebar-foreground: oklch(0.2795 0.0368 260.0310); --sidebar-primary: oklch(0.5854 0.2041 277.1173); --sidebar-primary-foreground: oklch(1.0000 0 0); --sidebar-accent: oklch(0.9299 0.0334 272.7879); --sidebar-accent-foreground: oklch(0.3729 0.0306 259.7328); --sidebar-border: oklch(0.8717 0.0093 258.3382); --sidebar-ring: oklch(0.5854 0.2041 277.1173); --font-sans: Inter, sans-serif; --font-serif: Merriweather, serif; --font-mono: JetBrains Mono, monospace; --radius: 0.5rem; --shadow-color: hsl(0 0% 0%); --shadow-2xs: 0px 4px 8px -1px hsl(0 0% 0% / 0.05); --shadow-xs: 0px 4px 8px -1px hsl(0 0% 0% / 0.05); --shadow-sm: 0px 4px 8px -1px hsl(0 0% 0% / 0.10); --shadow: 0px 4px 8px -1px hsl(0 0% 0% / 0.10); --shadow-md: 0px 4px 8px -1px hsl(0 0% 0% / 0.10); --shadow-lg: 0px 4px 8px -1px hsl(0 0% 0% / 0.10); --shadow-xl: 0px 4px 8px -1px hsl(0 0% 0% / 0.10); --shadow-2xl: 0px 4px 8px -1px hsl(0 0% 0% / 0.25); --tracking-normal: 0em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/cosmic-night.css ================================================ /** * Cosmic Night 主题 - 宇宙紫夜风格（暗色） */ [data-theme="cosmic-night"], [data-theme="cosmic-night"].dark { --background: oklch(0.1743 0.0227 283.7998); --foreground: oklch(0.9185 0.0257 285.8834); --card: oklch(0.2284 0.0384 282.9324); --card-foreground: oklch(0.9185 0.0257 285.8834); --popover: oklch(0.2284 0.0384 282.9324); --popover-foreground: oklch(0.9185 0.0257 285.8834); --primary: oklch(0.7162 0.1597 290.3962); --primary-foreground: oklch(0.1743 0.0227 283.7998); --secondary: oklch(0.3139 0.0736 283.4591); --secondary-foreground: oklch(0.8367 0.0849 285.9111); --muted: oklch(0.2710 0.0621 281.4377); --muted-foreground: oklch(0.7166 0.0462 285.1741); --accent: oklch(0.3354 0.0828 280.9705); --accent-foreground: oklch(0.9185 0.0257 285.8834); --destructive: oklch(0.6861 0.2061 14.9941); --destructive-foreground: oklch(1.0000 0 0); --border: oklch(0.3261 0.0597 282.5832); --input: oklch(0.3261 0.0597 282.5832); --ring: oklch(0.7162 0.1597 290.3962); --chart-1: oklch(0.7162 0.1597 290.3962); --chart-2: oklch(0.6382 0.1047 274.9117); --chart-3: oklch(0.7482 0.1235 244.7492); --chart-4: oklch(0.7124 0.0977 186.6761); --chart-5: oklch(0.7546 0.1831 346.8124); --sidebar: oklch(0.2284 0.0384 282.9324); --sidebar-foreground: oklch(0.9185 0.0257 285.8834); --sidebar-primary: oklch(0.7162 0.1597 290.3962); --sidebar-primary-foreground: oklch(0.1743 0.0227 283.7998); --sidebar-accent: oklch(0.3354 0.0828 280.9705); --sidebar-accent-foreground: oklch(0.9185 0.0257 285.8834); --sidebar-border: oklch(0.3261 0.0597 282.5832); --sidebar-ring: oklch(0.7162 0.1597 290.3962); --font-sans: Inter, sans-serif; --font-serif: Georgia, serif; --font-mono: JetBrains Mono, monospace; --radius: 0.5rem; --shadow-color: hsl(240 30% 25%); --shadow-2xs: 0px 4px 10px 0px hsl(240 30% 25% / 0.06); --shadow-xs: 0px 4px 10px 0px hsl(240 30% 25% / 0.06); --shadow-sm: 0px 4px 10px 0px hsl(240 30% 25% / 0.12); --shadow: 0px 4px 10px 0px hsl(240 30% 25% / 0.12); --shadow-md: 0px 4px 10px 0px hsl(240 30% 25% / 0.12); --shadow-lg: 0px 4px 10px 0px hsl(240 30% 25% / 0.12); --shadow-xl: 0px 4px 10px 0px hsl(240 30% 25% / 0.12); --shadow-2xl: 0px 4px 10px 0px hsl(240 30% 25% / 0.30); --tracking-normal: 0em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/cyberpunk-1.css ================================================ /** * Cyberpunk 主题 - 赛博朋克风格（暗色） */ [data-theme="cyberpunk-1"], [data-theme="cyberpunk-1"].dark { --background: oklch(0.1786 0.0167 284.5816); --foreground: oklch(0.9085 0.0052 228.8253); --card: oklch(0.2191 0.0214 284.4920); --card-foreground: oklch(0.9085 0.0052 228.8253); --popover: oklch(0.2191 0.0214 284.4920); --popover-foreground: oklch(0.9085 0.0052 228.8253); --primary: oklch(0.9054 0.1546 194.7689); --primary-foreground: oklch(0.1786 0.0167 284.5816); --secondary: oklch(0.3579 0.1469 302.2195); --secondary-foreground: oklch(0.9085 0.0052 228.8253); --muted: oklch(0.2973 0.0276 284.5974); --muted-foreground: oklch(0.6854 0.0185 229.1283); --accent: oklch(0.4238 0.1894 310.7570); --accent-foreground: oklch(0.9193 0.1285 195.1501); --destructive: oklch(0.6333 0.2001 24.9320); --destructive-foreground: oklch(0.1786 0.0167 284.5816); --border: oklch(0.3418 0.0333 284.5008); --input: oklch(0.2973 0.0276 284.5974); --ring: oklch(0.9054 0.1546 194.7689); --chart-1: oklch(0.9089 0.1478 194.8663); --chart-2: oklch(0.5817 0.2729 300.2277); --chart-3: oklch(0.6702 0.2462 356.4011); --chart-4: oklch(0.8342 0.1594 79.5067); --chart-5: oklch(0.7323 0.2492 142.4953); --sidebar: oklch(0.1483 0.0109 284.9903); --sidebar-foreground: oklch(0.9392 0.0035 228.7981); --sidebar-primary: oklch(0.9065 0.1525 194.7986); --sidebar-primary-foreground: oklch(0.1483 0.0109 284.9903); --sidebar-accent: oklch(0.4238 0.1894 310.7570); --sidebar-accent-foreground: oklch(0.9276 0.1137 195.3712); --sidebar-border: oklch(0.2973 0.0276 284.5974); --sidebar-ring: oklch(0.9065 0.1525 194.7986); --font-sans: "Exo 2", sans-serif; --font-serif: Georgia, serif; --font-mono: "Hack", monospace; --radius: 0.2rem; --shadow-color: hsl(220 30% 10%); --shadow-2xs: 0px 4px 12px 0px hsl(220 30% 10% / 0.15); --shadow-xs: 0px 4px 12px 0px hsl(220 30% 10% / 0.15); --shadow-sm: 0px 4px 12px 0px hsl(220 30% 10% / 0.30), 0px 1px 2px -1px hsl(220 30% 10% / 0.30); --shadow: 0px 4px 12px 0px hsl(220 30% 10% / 0.30), 0px 1px 2px -1px hsl(220 30% 10% / 0.30); --shadow-md: 0px 4px 12px 0px hsl(220 30% 10% / 0.30), 0px 2px 4px -1px hsl(220 30% 10% / 0.30); --shadow-lg: 0px 4px 12px 0px hsl(220 30% 10% / 0.30), 0px 4px 6px -1px hsl(220 30% 10% / 0.30); --shadow-xl: 0px 4px 12px 0px hsl(220 30% 10% / 0.30), 0px 8px 10px -1px hsl(220 30% 10% / 0.30); --shadow-2xl: 0px 4px 12px 0px hsl(220 30% 10% / 0.75); --tracking-normal: 0.01em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/eva-01.css ================================================ /** * EVA-01 初号机主题 - 新世纪福音战士（暗色） * 经典紫色和荧光绿配色 */ [data-theme="eva-01"], [data-theme="eva-01"].dark { --background: oklch(0.12 0.04 300); --foreground: oklch(0.92 0.02 300); --card: oklch(0.18 0.05 300); --card-foreground: oklch(0.92 0.02 300); --popover: oklch(0.18 0.05 300); --popover-foreground: oklch(0.92 0.02 300); --primary: oklch(0.50 0.22 300); --primary-foreground: oklch(0.95 0.01 300); --secondary: oklch(0.75 0.25 145); --secondary-foreground: oklch(0.15 0.03 145); --muted: oklch(0.25 0.06 300); --muted-foreground: oklch(0.65 0.04 300); --accent: oklch(0.25 0.06 300); --accent-foreground: oklch(0.65 0.25 300); --destructive: oklch(0.55 0.25 25); --destructive-foreground: oklch(0.95 0.01 25); --border: oklch(0.30 0.08 300); --input: oklch(0.22 0.06 300); --ring: oklch(0.50 0.22 300); --chart-1: oklch(0.50 0.22 300); --chart-2: oklch(0.80 0.28 145); --chart-3: oklch(0.55 0.25 25); --chart-4: oklch(0.70 0.18 60); --chart-5: oklch(0.60 0.20 250); --sidebar: oklch(0.10 0.035 300); --sidebar-foreground: oklch(0.92 0.02 300); --sidebar-primary: oklch(0.50 0.22 300); --sidebar-primary-foreground: oklch(0.95 0.01 300); --sidebar-accent: oklch(0.80 0.28 145); --sidebar-accent-foreground: oklch(0.12 0.04 145); --sidebar-border: oklch(0.25 0.06 300); --sidebar-ring: oklch(0.50 0.22 300); --font-sans: Geist, sans-serif; --font-serif: Georgia, serif; --font-mono: Geist Mono, monospace; --radius: 0.15rem; --shadow-x: 0px; --shadow-y: 1px; --shadow-blur: 2px; --shadow-spread: 0px; --shadow-opacity: 0.20; --shadow-color: hsl(300 40% 5%); --shadow-2xs: 0px 1px 2px 0px hsl(300 40% 5% / 0.10); --shadow-xs: 0px 1px 2px 0px hsl(300 40% 5% / 0.10); --shadow-sm: 0px 1px 2px 0px hsl(300 40% 5% / 0.20), 0px 1px 2px -1px hsl(300 40% 5% / 0.20); --shadow: 0px 1px 2px 0px hsl(300 40% 5% / 0.20), 0px 1px 2px -1px hsl(300 40% 5% / 0.20); --shadow-md: 0px 1px 2px 0px hsl(300 40% 5% / 0.20), 0px 2px 4px -1px hsl(300 40% 5% / 0.20); --shadow-lg: 0px 1px 2px 0px hsl(300 40% 5% / 0.20), 0px 4px 6px -1px hsl(300 40% 5% / 0.20); --shadow-xl: 0px 1px 2px 0px hsl(300 40% 5% / 0.20), 0px 8px 10px -1px hsl(300 40% 5% / 0.20); --shadow-2xl: 0px 1px 2px 0px hsl(300 40% 5% / 0.50); --tracking-normal: 0em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/index.css ================================================ /** * 主题文件索引 * 所有颜色主题都在这里引入 */ @import "./vercel-dark.css"; @import "./violet-bloom.css"; @import "./bubblegum.css"; @import "./quantum-rose.css"; @import "./clean-slate.css"; @import "./cosmic-night.css"; @import "./cyberpunk-1.css"; @import "./eva-01.css"; ================================================ FILE: frontend/styles/themes/quantum-rose.css ================================================ /** * Quantum Rose 主题 - 玫瑰量子风格（亮色） */ [data-theme="quantum-rose"] { --background: oklch(0.9692 0.0192 343.9344); --foreground: oklch(0.4426 0.1653 352.3762); --card: oklch(0.9837 0.0107 339.3288); --card-foreground: oklch(0.4426 0.1653 352.3762); --popover: oklch(0.9837 0.0107 339.3288); --popover-foreground: oklch(0.4426 0.1653 352.3762); --primary: oklch(0.6002 0.2414 0.1348); --primary-foreground: oklch(1.0000 0 0); --secondary: oklch(0.9230 0.0701 326.1273); --secondary-foreground: oklch(0.4426 0.1653 352.3762); --muted: oklch(0.9429 0.0363 344.2604); --muted-foreground: oklch(0.5740 0.1732 352.0544); --accent: oklch(0.8766 0.0828 344.8849); --accent-foreground: oklch(0.4426 0.1653 352.3762); --destructive: oklch(0.5831 0.1911 6.3410); --destructive-foreground: oklch(1.0000 0 0); --border: oklch(0.8881 0.0747 344.3866); --input: oklch(0.9230 0.0701 326.1273); --ring: oklch(0.6002 0.2414 0.1348); --chart-1: oklch(0.6002 0.2414 0.1348); --chart-2: oklch(0.5979 0.1750 345.0378); --chart-3: oklch(0.6009 0.1243 311.7958); --chart-4: oklch(0.5849 0.1178 283.2937); --chart-5: oklch(0.6479 0.1871 267.9684); --sidebar: oklch(0.9629 0.0227 345.7485); --sidebar-foreground: oklch(0.4426 0.1653 352.3762); --sidebar-primary: oklch(0.6002 0.2414 0.1348); --sidebar-primary-foreground: oklch(1.0000 0 0); --sidebar-accent: oklch(0.8766 0.0828 344.8849); --sidebar-accent-foreground: oklch(0.4426 0.1653 352.3762); --sidebar-border: oklch(0.9311 0.0448 343.3135); --sidebar-ring: oklch(0.6002 0.2414 0.1348); --font-sans: Poppins, sans-serif; --font-serif: Playfair Display, serif; --font-mono: Space Mono, monospace; --radius: 0.5rem; --shadow-color: hsl(330 70% 30% / 0.12); --shadow-2xs: 0px 3px 0px 0px hsl(330 70% 30% / 0.09); --shadow-xs: 0px 3px 0px 0px hsl(330 70% 30% / 0.09); --shadow-sm: 0px 3px 0px 0px hsl(330 70% 30% / 0.18); --shadow: 0px 3px 0px 0px hsl(330 70% 30% / 0.18); --shadow-md: 0px 3px 0px 0px hsl(330 70% 30% / 0.18); --shadow-lg: 0px 3px 0px 0px hsl(330 70% 30% / 0.18); --shadow-xl: 0px 3px 0px 0px hsl(330 70% 30% / 0.18); --shadow-2xl: 0px 3px 0px 0px hsl(330 70% 30% / 0.45); --tracking-normal: 0em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/vercel-dark.css ================================================ /** * Vercel Dark 主题 - Vercel 暗色风格 */ [data-theme="vercel-dark"], [data-theme="vercel-dark"].dark { --background: oklch(0 0 0); --foreground: oklch(1 0 0); --card: oklch(0.1400 0 0); --card-foreground: oklch(1 0 0); --popover: oklch(0.1800 0 0); --popover-foreground: oklch(1 0 0); --primary: oklch(1 0 0); --primary-foreground: oklch(0 0 0); --secondary: oklch(0.2500 0 0); --secondary-foreground: oklch(1 0 0); --muted: oklch(0.2300 0 0); --muted-foreground: oklch(0.7200 0 0); --accent: oklch(0.3200 0 0); --accent-foreground: oklch(1 0 0); --destructive: oklch(0.6900 0.2000 23.9100); --destructive-foreground: oklch(0 0 0); --border: oklch(0.2600 0 0); --input: oklch(0.3200 0 0); --ring: oklch(0.7200 0 0); --chart-1: oklch(0.8100 0.1700 75.3500); --chart-2: oklch(0.5800 0.2100 260.8400); --chart-3: oklch(0.5600 0 0); --chart-4: oklch(0.4400 0 0); --chart-5: oklch(0.9200 0 0); --sidebar: oklch(0.1800 0 0); --sidebar-foreground: oklch(1 0 0); --sidebar-primary: oklch(1 0 0); --sidebar-primary-foreground: oklch(0 0 0); --sidebar-accent: oklch(0.3200 0 0); --sidebar-accent-foreground: oklch(1 0 0); --sidebar-border: oklch(0.3200 0 0); --sidebar-ring: oklch(0.7200 0 0); --font-sans: Geist, sans-serif; --font-serif: Georgia, serif; --font-mono: Geist Mono, monospace; --radius: 0.5rem; --shadow-color: hsl(0 0% 0%); --shadow-2xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09); --shadow-xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09); --shadow-sm: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18); --shadow: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18); --shadow-md: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 2px 4px -1px hsl(0 0% 0% / 0.18); --shadow-lg: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 4px 6px -1px hsl(0 0% 0% / 0.18); --shadow-xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 8px 10px -1px hsl(0 0% 0% / 0.18); --shadow-2xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.45); --tracking-normal: 0em; --spacing: 0.25rem; } ================================================ FILE: frontend/styles/themes/vercel.css ================================================ [data-theme="vercel"] { --background: oklch(0.9900 0 0); --foreground: oklch(0 0 0); --card: oklch(1 0 0); --card-foreground: oklch(0 0 0); --popover: oklch(0.9900 0 0); --popover-foreground: oklch(0 0 0); --primary: oklch(0 0 0); --primary-foreground: oklch(1 0 0); --secondary: oklch(0.9400 0 0); --secondary-foreground: oklch(0 0 0); --muted: oklch(0.9700 0 0); --muted-foreground: oklch(0.4400 0 0); --accent: oklch(0.9400 0 0); --accent-foreground: oklch(0 0 0); --destructive: oklch(0.6300 0.1900 23.0300); --destructive-foreground: oklch(1 0 0); --border: oklch(0.9200 0 0); --input: oklch(0.9400 0 0); --ring: oklch(0 0 0); --chart-1: oklch(0.8100 0.1700 75.3500); --chart-2: oklch(0.5500 0.2200 264.5300); --chart-3: oklch(0.7200 0 0); --chart-4: oklch(0.9200 0 0); --chart-5: oklch(0.5600 0 0); --sidebar: oklch(0.9900 0 0); --sidebar-foreground: oklch(0 0 0); --sidebar-primary: oklch(0 0 0); --sidebar-primary-foreground: oklch(1 0 0); --sidebar-accent: oklch(0.9400 0 0); --sidebar-accent-foreground: oklch(0 0 0); --sidebar-border: oklch(0.9400 0 0); --sidebar-ring: oklch(0 0 0); --font-sans: Geist, sans-serif; --font-serif: Georgia, serif; --font-mono: Geist Mono, monospace; --radius: 0.5rem; --shadow-x: 0px; --shadow-y: 1px; --shadow-blur: 2px; --shadow-spread: 0px; --shadow-opacity: 0.18; --shadow-color: hsl(0 0% 0%); --shadow-2xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09); --shadow-xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09); --shadow-sm: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18); --shadow: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18); --shadow-md: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 2px 4px -1px hsl(0 0% 0% / 0.18); --shadow-lg: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 4px 6px -1px hsl(0 0% 0% / 0.18); --shadow-xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 8px 10px -1px hsl(0 0% 0% / 0.18); --shadow-2xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.45); --tracking-normal: 0em; --spacing: 0.25rem; } .dark[data-theme="vercel"], [data-theme="vercel"].dark { --background: oklch(0 0 0); --foreground: oklch(1 0 0); --card: oklch(0.1400 0 0); --card-foreground: oklch(1 0 0); --popover: oklch(0.1800 0 0); --popover-foreground: oklch(1 0 0); --primary: oklch(1 0 0); --primary-foreground: oklch(0 0 0); --secondary: oklch(0.2500 0 0); --secondary-foreground: oklch(1 0 0); --muted: oklch(0.2300 0 0); --muted-foreground: oklch(0.7200 0 0); --accent: oklch(0.3200 0 0); --accent-foreground: oklch(1 0 0); --destructive: oklch(0.6900 0.2000 23.9100); --destructive-foreground: oklch(0 0 0); --border: oklch(0.2600 0 0); --input: oklch(0.3200 0 0); --ring: oklch(0.7200 0 0); --chart-1: oklch(0.8100 0.1700 75.3500); --chart-2: oklch(0.5800 0.2100 260.8400); --chart-3: oklch(0.5600 0 0); --chart-4: oklch(0.4400 0 0); --chart-5: oklch(0.9200 0 0); --sidebar: oklch(0.1800 0 0); --sidebar-foreground: oklch(1 0 0); --sidebar-primary: oklch(1 0 0); --sidebar-primary-foreground: oklch(0 0 0); --sidebar-accent: oklch(0.3200 0 0); --sidebar-accent-foreground: oklch(1 0 0); --sidebar-border: oklch(0.3200 0 0); --sidebar-ring: oklch(0.7200 0 0); --font-sans: Geist, sans-serif; --font-serif: Georgia, serif; --font-mono: Geist Mono, monospace; --radius: 0.5rem; --shadow-x: 0px; --shadow-y: 1px; --shadow-blur: 2px; --shadow-spread: 0px; --shadow-opacity: 0.18; --shadow-color: hsl(0 0% 0%); --shadow-2xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09); --shadow-xs: 0px 1px 2px 0px hsl(0 0% 0% / 0.09); --shadow-sm: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18); --shadow: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 1px 2px -1px hsl(0 0% 0% / 0.18); --shadow-md: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 2px 4px -1px hsl(0 0% 0% / 0.18); --shadow-lg: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 4px 6px -1px hsl(0 0% 0% / 0.18); --shadow-xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.18), 0px 8px 10px -1px hsl(0 0% 0% / 0.18); --shadow-2xl: 0px 1px 2px 0px hsl(0 0% 0% / 0.45); } ================================================ FILE: frontend/styles/themes/violet-bloom.css ================================================ /** * Violet Bloom 主题 - 紫罗兰花朵风格（亮色） */ [data-theme="violet-bloom"] { --background: oklch(0.9940 0 0); --foreground: oklch(0 0 0); --card: oklch(0.9940 0 0); --card-foreground: oklch(0 0 0); --popover: oklch(0.9911 0 0); --popover-foreground: oklch(0 0 0); --primary: oklch(0.5393 0.2713 286.7462); --primary-foreground: oklch(1.0000 0 0); --secondary: oklch(0.9540 0.0063 255.4755); --secondary-foreground: oklch(0.1344 0 0); --muted: oklch(0.9702 0 0); --muted-foreground: oklch(0.4386 0 0); --accent: oklch(0.9393 0.0288 266.3680); --accent-foreground: oklch(0.5445 0.1903 259.4848); --destructive: oklch(0.6290 0.1902 23.0704); --destructive-foreground: oklch(1.0000 0 0); --border: oklch(0.9300 0.0094 286.2156); --input: oklch(0.9401 0 0); --ring: oklch(0 0 0); --chart-1: oklch(0.7459 0.1483 156.4499); --chart-2: oklch(0.5393 0.2713 286.7462); --chart-3: oklch(0.7336 0.1758 50.5517); --chart-4: oklch(0.5828 0.1809 259.7276); --chart-5: oklch(0.5590 0 0); --sidebar: oklch(0.9777 0.0051 247.8763); --sidebar-foreground: oklch(0 0 0); --sidebar-primary: oklch(0 0 0); --sidebar-primary-foreground: oklch(1.0000 0 0); --sidebar-accent: oklch(0.9401 0 0); --sidebar-accent-foreground: oklch(0 0 0); --sidebar-border: oklch(0.9401 0 0); --sidebar-ring: oklch(0 0 0); --font-sans: Plus Jakarta Sans, sans-serif; --font-serif: Lora, serif; --font-mono: IBM Plex Mono, monospace; --radius: 1.4rem; --shadow-color: hsl(0 0% 0%); --shadow-2xs: 0px 2px 3px 0px hsl(0 0% 0% / 0.08); --shadow-xs: 0px 2px 3px 0px hsl(0 0% 0% / 0.08); --shadow-sm: 0px 2px 3px 0px hsl(0 0% 0% / 0.16), 0px 1px 2px -1px hsl(0 0% 0% / 0.16); --shadow: 0px 2px 3px 0px hsl(0 0% 0% / 0.16), 0px 1px 2px -1px hsl(0 0% 0% / 0.16); --shadow-md: 0px 2px 3px 0px hsl(0 0% 0% / 0.16), 0px 2px 4px -1px hsl(0 0% 0% / 0.16); --shadow-lg: 0px 2px 3px 0px hsl(0 0% 0% / 0.16), 0px 4px 6px -1px hsl(0 0% 0% / 0.16); --shadow-xl: 0px 2px 3px 0px hsl(0 0% 0% / 0.16), 0px 8px 10px -1px hsl(0 0% 0% / 0.16); --shadow-2xl: 0px 2px 3px 0px hsl(0 0% 0% / 0.40); --tracking-normal: -0.025em; --spacing: 0.27rem; } ================================================ FILE: frontend/tsconfig.json ================================================ { "compilerOptions": { "target": "ES2017", "lib": ["dom", "dom.iterable", "esnext"], "allowJs": true, "skipLibCheck": true, "strict": true, "noEmit": true, "esModuleInterop": true, "module": "esnext", "moduleResolution": "bundler", "resolveJsonModule": true, "isolatedModules": true, "jsx": "preserve", "incremental": true, "plugins": [ { "name": "next" } ], "paths": { "@/*": ["./*"] } }, "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], "exclude": ["node_modules"] } ================================================ FILE: frontend/types/api-key-settings.types.ts ================================================ /** * API Key 配置类型定义 * 用于 subfinder 第三方数据源配置 */ // 单字段 Provider 配置（hunter, shodan, zoomeye, securitytrails, threatbook, quake） export interface SingleFieldProviderConfig { enabled: boolean apiKey: string } // FOFA Provider 配置（email + apiKey） export interface FofaProviderConfig { enabled: boolean email: string apiKey: string } // Censys Provider 配置（apiId + apiSecret） export interface CensysProviderConfig { enabled: boolean apiId: string apiSecret: string } // 完整的 API Key 配置 export interface ApiKeySettings { fofa: FofaProviderConfig hunter: SingleFieldProviderConfig shodan: SingleFieldProviderConfig censys: CensysProviderConfig zoomeye: SingleFieldProviderConfig securitytrails: SingleFieldProviderConfig threatbook: SingleFieldProviderConfig quake: SingleFieldProviderConfig } // Provider 类型 export type ProviderKey = keyof ApiKeySettings // Provider 配置联合类型 export type ProviderConfig = FofaProviderConfig | CensysProviderConfig | SingleFieldProviderConfig ================================================ FILE: frontend/types/api-response.types.ts ================================================ // Common API response types // // 新响应格式： // - 成功响应：直接返回数据 T（无包装） // - 分页响应：{ results: T[], total, page, pageSize, totalPages } // - 错误响应：{ error: { code, message?, details? } } // // 注意：旧的 { code, state, message, data } 格式已废弃 /** * 错误响应类型 */ export interface ApiErrorResponse { error: { code: string; message?: string; details?: unknown[]; }; } /** * 旧版 API 响应类型（已废弃，仅保留以向后兼容） * @deprecated 请直接使用数据类型 T，后端不再使用此包装格式 */ export interface LegacyApiResponse { code: string; // HTTP status code, e.g. "200", "400", "500" state: string; // Business state, e.g. "success", "error" message: string; // Response message data?: T; // Response data } // Common batch create response data (corresponds to backend BaseBatchCreateResponseData) // Applicable to: domains, endpoints and other batch create operations export interface BatchCreateResponse { message: string // Detailed description, e.g. "Processed 5 domains, created 3 new, 2 existed, 1 skipped" requestedCount: number // Total requested count createdCount: number // Newly created count existedCount: number // Already existed count skippedCount?: number // Skipped count (optional) skippedDomains?: Array<{ // Skipped domains list (optional) name: string reason: string }> } // Paginated response type export interface PaginatedResponse { results: T[] total: number page: number pageSize: number totalPages?: number } ================================================ FILE: frontend/types/auth.types.ts ================================================ /** * Authentication related type definitions */ // User info export interface User { id: number username: string isStaff: boolean isSuperuser: boolean } // Login request export interface LoginRequest { username: string password: string } // Login response export interface LoginResponse { message: string user: User } // Get current user response export interface MeResponse { authenticated: boolean user: User | null } // Logout response export interface LogoutResponse { message: string } // Change password request export interface ChangePasswordRequest { oldPassword: string newPassword: string } // Change password response export interface ChangePasswordResponse { message: string } ================================================ FILE: frontend/types/command.types.ts ================================================ import { Tool } from "./tool.types" /** * Command model */ export interface Command { id: number createdAt: string updatedAt: string toolId: number tool?: Tool name: string displayName: string description: string commandTemplate: string } /** * Get commands list request parameters */ export interface GetCommandsRequest { page?: number pageSize?: number toolId?: number } /** * Get commands list response */ export interface GetCommandsResponse { commands: Command[] page: number pageSize: number // Backend returns camelCase format total: number // Unified total field totalPages: number // Backend returns camelCase format // Compatibility fields (backward compatible) page_size?: number total_count?: number total_pages?: number } /** * Create command request */ export interface CreateCommandRequest { toolId: number name: string displayName?: string description?: string commandTemplate: string } /** * Update command request */ export interface UpdateCommandRequest { name?: string displayName?: string description?: string commandTemplate?: string } /** * Command response data */ export interface CommandResponseData { command: Command } /** * Batch delete commands response data */ export interface BatchDeleteCommandsResponseData { deletedCount: number } ================================================ FILE: frontend/types/common.types.ts ================================================ // Common type definitions // Pagination info interface export interface PaginationInfo { total: number page: number pageSize: number totalPages: number } // Pagination and sorting parameters interface export interface PaginationParams { page?: number pageSize?: number sortBy?: string // Sort field: id, name, created_at, updated_at (using snake_case) sortOrder?: "asc" | "desc" // Sort direction: asc, desc search?: string // Search keyword } ================================================ FILE: frontend/types/dashboard.types.ts ================================================ export interface DashboardStats { totalTargets: number totalSubdomains: number totalEndpoints: number totalVulnerabilities: number } /** * Asset statistics data (pre-aggregated) */ export interface VulnBySeverity { critical: number high: number medium: number low: number info: number } export interface AssetStatistics { totalTargets: number totalSubdomains: number totalIps: number totalEndpoints: number totalWebsites: number totalVulns: number totalAssets: number runningScans: number updatedAt: string | null // Change values changeTargets: number changeSubdomains: number changeIps: number changeEndpoints: number changeWebsites: number changeVulns: number changeAssets: number // Vulnerability severity distribution vulnBySeverity: VulnBySeverity } /** * Statistics history data (for line charts) */ export interface StatisticsHistoryItem { date: string totalTargets: number totalSubdomains: number totalIps: number totalEndpoints: number totalWebsites: number totalVulns: number totalAssets: number } ================================================ FILE: frontend/types/data-table.types.ts ================================================ import type { ColumnDef, SortingState, VisibilityState, Table, Header, Column, RowData } from "@tanstack/react-table" import type { ReactNode } from "react" /** * Extend TanStack Table's ColumnMeta type * Used to store column metadata such as title */ declare module '@tanstack/react-table' { interface ColumnMeta { /** Column title, used for column header and column visibility control */ title?: string } } /** * Pagination state */ export interface PaginationState { pageIndex: number pageSize: number } /** * Server-side pagination info */ export interface PaginationInfo { total: number totalPages: number page: number pageSize: number } /** * Filter field definition * Note: description is required, consistent with SmartFilterInput component */ export interface FilterField { key: string label: string description: string } /** * Download option */ export interface DownloadOption { key: string label: string icon?: ReactNode onClick: () => void disabled?: boolean | ((selectedCount: number) => boolean) } /** * Delete confirmation dialog configuration */ export interface DeleteConfirmationConfig { title?: string description?: string | ((count: number) => string) confirmLabel?: string cancelLabel?: string } /** * Unified data table component props */ export interface UnifiedDataTableProps { // Core data data: TData[] columns: ColumnDef[] getRowId?: (row: TData) => string // Pagination pagination?: PaginationState setPagination?: React.Dispatch> paginationInfo?: PaginationInfo onPaginationChange?: (pagination: PaginationState) => void hidePagination?: boolean pageSizeOptions?: number[] // Toolbar hideToolbar?: boolean toolbarLeft?: ReactNode toolbarRight?: ReactNode // Search/Filter searchMode?: 'simple' | 'smart' searchPlaceholder?: string searchValue?: string onSearch?: (value: string) => void isSearching?: boolean filterFields?: FilterField[] filterExamples?: string[] // Selection enableRowSelection?: boolean rowSelection?: Record onRowSelectionChange?: (selection: Record) => void onSelectionChange?: (selectedRows: TData[]) => void // Bulk operations onBulkDelete?: () => void bulkDeleteLabel?: string showBulkDelete?: boolean // Add operation onAddNew?: () => void onAddHover?: () => void addButtonLabel?: string showAddButton?: boolean // Bulk add operation onBulkAdd?: () => void bulkAddLabel?: string showBulkAdd?: boolean // Download operations downloadOptions?: DownloadOption[] // Column control columnVisibility?: VisibilityState onColumnVisibilityChange?: (visibility: VisibilityState) => void // Sorting sorting?: SortingState onSortingChange?: (sorting: SortingState) => void defaultSorting?: SortingState // Empty state emptyMessage?: string emptyComponent?: ReactNode // Confirmation dialog deleteConfirmation?: DeleteConfirmationConfig // Styling className?: string tableClassName?: string // Auto column sizing /** Enable automatic column width calculation based on content */ enableAutoColumnSizing?: boolean } /** * Toolbar component props */ export interface DataTableToolbarProps { // Search searchMode?: 'simple' | 'smart' searchPlaceholder?: string searchValue?: string onSearch?: (value: string) => void isSearching?: boolean filterFields?: FilterField[] filterExamples?: string[] // Left side custom content leftContent?: ReactNode // Right side actions children?: ReactNode // Styling className?: string } /** * Pagination component props */ export interface DataTablePaginationProps { table: Table paginationInfo?: PaginationInfo pageSizeOptions?: number[] onPaginationChange?: (pagination: PaginationState) => void className?: string } /** * Column header component props */ export interface DataTableColumnHeaderProps { column: Column title: string className?: string } /** * Column resizer component props */ export interface ColumnResizerProps { header: Header className?: string } ================================================ FILE: frontend/types/directory.types.ts ================================================ /** * Directory related type definitions */ export interface Directory { id: number url: string status: number | null contentLength: number | null // Backend returns contentLength words: number | null lines: number | null contentType: string duration: number | null websiteUrl: string // Backend returns websiteUrl createdAt: string // Backend returns createdAt } export interface DirectoryFilters { url?: string status?: number contentType?: string } export interface DirectoryListResponse { results: Directory[] total: number page: number pageSize: number totalPages: number } ================================================ FILE: frontend/types/disk.types.ts ================================================ export interface DiskStats { totalBytes: number usedBytes: number freeBytes: number usedPercent: number } ================================================ FILE: frontend/types/endpoint.types.ts ================================================ // Endpoint specific data type definitions // Note: Backend returns snake_case, but api-client.ts automatically converts to camelCase import type { BatchCreateResponse } from './api-response.types' export interface Endpoint { id: number url: string // HTTP metadata (may be null in some scenarios) method?: string statusCode: number | null // Backend: status_code (pointer type, may be null) title: string contentLength: number | null // Backend: content_length (pointer type, may be null) contentType?: string | null // Backend: content_type (optional) responseTime?: number | null // Backend: response_time (in seconds, optional) gfPatterns?: string[] | null // Backend: matched_gf_patterns, GF pattern matching results // Site/endpoint dimension additional info (used by both asset table and snapshot table) host?: string location?: string webserver?: string responseBody?: string tech?: string[] vhost?: boolean | null responseHeaders?: string createdAt?: string // Legacy domain association fields (may not exist in some APIs) domainId?: number // Backend: domain_id subdomainId?: number // Backend: subdomain_id domain?: string subdomain?: string updatedAt?: string // Backend: updated_at } // Endpoint list request parameters // Backend sorts by update time descending export interface GetEndpointsRequest { page?: number pageSize?: number search?: string } // Endpoint list response data // Note: Backend returns snake_case, but api-client.ts automatically converts to camelCase export interface GetEndpointsResponse { endpoints: Endpoint[] total: number page: number pageSize: number // Backend returns camelCase format totalPages: number // Backend returns camelCase format // Compatibility fields (backward compatible) page_size?: number total_pages?: number } // Create Endpoint request parameters export interface CreateEndpointRequest { url: string // Required method?: string // Optional statusCode?: number | null // Optional title?: string // Optional contentLength?: number | null // Optional contentType?: string | null // Optional responseTime?: number | null // Optional gfPatterns?: string[] | null // Optional, GF pattern matching results domain?: string // Optional subdomain?: string // Optional } // Create Endpoint response (extends common batch create response) export interface CreateEndpointsResponse extends BatchCreateResponse { // Inherited fields: message, requestedCount, createdCount, existedCount } // Update Endpoint request parameters export interface UpdateEndpointRequest { id: number url?: string method?: string statusCode?: number title?: string contentLength?: number contentType?: string | null responseTime?: number | null gfPatterns?: string[] | null domain?: string subdomain?: string } // Batch delete Endpoint request parameters export interface BatchDeleteEndpointsRequest { endpointIds: number[] } // Batch delete Endpoint response data export interface BatchDeleteEndpointsResponse { message: string deletedCount: number } ================================================ FILE: frontend/types/engine.types.ts ================================================ /** * Scan engine type definitions * * Backend actual return fields: id, name, configuration, created_at, updated_at */ // Scan engine interface export interface ScanEngine { id: number name: string configuration?: string // YAML configuration content createdAt: string updatedAt: string } // Create engine request export interface CreateEngineRequest { name: string configuration: string } // Update engine request export interface UpdateEngineRequest { name?: string configuration?: string } ================================================ FILE: frontend/types/fingerprint.types.ts ================================================ /** * Fingerprint related type definitions */ // EHole fingerprint type export interface EholeFingerprint { id: number cms: string method: string location: string keyword: string[] isImportant: boolean type: string createdAt: string } // Goby rule type export interface GobyRule { label: string feature: string is_equal: boolean } // Goby fingerprint type export interface GobyFingerprint { id: number name: string logic: string rule: GobyRule[] createdAt: string } // Wappalyzer fingerprint type export interface WappalyzerFingerprint { id: number name: string cats: number[] cookies: Record headers: Record scriptSrc: string[] js: string[] implies: string[] meta: Record html: string[] description: string website: string cpe: string createdAt: string } // Fingers rule type export interface FingersRule { regexps?: { regexp: string group?: number }[] vuln?: string version?: string body?: string header?: string title?: string send_data_type?: string send_data?: string favicon_hash?: string[] } // Fingers fingerprint type export interface FingersFingerprint { id: number name: string link: string rule: FingersRule[] tag: string[] focus: boolean defaultPort: number[] createdAt: string } // FingerPrintHub HTTP matcher type export interface FingerPrintHubHttpMatcher { method?: string path?: string matchers?: { type: string part?: string words?: string[] regex?: string[] status?: number[] condition?: string }[] extractors?: { type: string part?: string regex?: string[] group?: number }[] } // FingerPrintHub metadata type export interface FingerPrintHubMetadata { product?: string vendor?: string verified?: boolean shodan_query?: string fofa_query?: string } // FingerPrintHub fingerprint type export interface FingerPrintHubFingerprint { id: number fpId: string name: string author: string tags: string severity: string metadata: FingerPrintHubMetadata http: FingerPrintHubHttpMatcher[] sourceFile: string createdAt: string } // ARL fingerprint type export interface ARLFingerprint { id: number name: string rule: string createdAt: string } // Batch create response export interface BatchCreateResponse { created: number failed: number } // Bulk delete response export interface BulkDeleteResponse { deleted: number } // Fingerprint statistics export interface FingerprintStats { ehole: number goby: number wappalyzer: number fingers: number fingerprinthub: number arl: number } ================================================ FILE: frontend/types/ip-address.types.ts ================================================ export interface Port { number: number serviceName: string description: string isUncommon: boolean } export interface IPAddress { ip: string // IP address (unique identifier) hosts: string[] // Associated hostname list ports: number[] // Associated port list createdAt: string // First creation time } export interface GetIPAddressesParams { page?: number pageSize?: number filter?: string // Smart filter syntax string } export interface GetIPAddressesResponse { results: IPAddress[] total: number page: number pageSize: number totalPages: number } ================================================ FILE: frontend/types/notification-settings.types.ts ================================================ export interface DiscordSettings { enabled: boolean webhookUrl: string } export interface WeComSettings { enabled: boolean webhookUrl: string } /** Notification category - corresponds to backend NotificationCategory */ export type NotificationCategory = 'scan' | 'vulnerability' | 'asset' | 'system' /** Notification switches by category */ export interface NotificationCategories { scan: boolean // Scan tasks vulnerability: boolean // Vulnerability discovery asset: boolean // Asset discovery system: boolean // System messages } export interface NotificationSettings { discord: DiscordSettings wecom: WeComSettings categories: NotificationCategories } export type GetNotificationSettingsResponse = NotificationSettings export type UpdateNotificationSettingsRequest = NotificationSettings export interface UpdateNotificationSettingsResponse { message: string discord: DiscordSettings wecom: WeComSettings categories: NotificationCategories } ================================================ FILE: frontend/types/notification.types.ts ================================================ /** * Notification type definitions */ // Notification type enum (corresponds to backend NotificationCategory) export type NotificationType = "vulnerability" | "scan" | "asset" | "system" // Severity level (corresponds to backend NotificationLevel) export type NotificationSeverity = "low" | "medium" | "high" | "critical" // Backend notification level (consistent with backend) export type BackendNotificationLevel = NotificationSeverity // Backend notification data format export interface BackendNotification { id: number category?: NotificationType title: string message: string level: BackendNotificationLevel created_at?: string createdAt?: string read_at?: string | null readAt?: string | null is_read?: boolean isRead?: boolean } // Notification interface export interface Notification { id: number type: NotificationType title: string description: string detail?: string time: string unread: boolean severity?: NotificationSeverity createdAt?: string } // Get notifications list request parameters export interface GetNotificationsRequest { page?: number pageSize?: number type?: NotificationType unread?: boolean } // Get notifications list response export interface GetNotificationsResponse { results: BackendNotification[] total: number page: number pageSize: number // Backend returns camelCase format totalPages: number // Backend returns camelCase format // Compatibility fields (backward compatible) page_size?: number total_pages?: number } ================================================ FILE: frontend/types/nuclei-git.types.ts ================================================ export type NucleiGitAuthType = "none" | "token" export interface NucleiGitSettings { repoUrl: string authType: NucleiGitAuthType authToken: string } export type GetNucleiGitSettingsResponse = NucleiGitSettings export type UpdateNucleiGitSettingsRequest = NucleiGitSettings export interface UpdateNucleiGitSettingsResponse { message: string settings: NucleiGitSettings } ================================================ FILE: frontend/types/nuclei.types.ts ================================================ export type NucleiTemplateNodeType = "folder" | "file" export interface NucleiTemplateTreeNode { type: NucleiTemplateNodeType name: string path: string children?: NucleiTemplateTreeNode[] templateId?: string severity?: string tags?: string[] } export interface NucleiTemplateTreeResponse { roots: NucleiTemplateTreeNode[] } export interface NucleiTemplateContent { path: string name: string templateId?: string severity?: string tags?: string[] content: string } export type NucleiTemplateScope = "custom" | "public" export interface UploadNucleiTemplatePayload { scope: NucleiTemplateScope file: File } export interface SaveNucleiTemplatePayload { path: string content: string } ================================================ FILE: frontend/types/organization.types.ts ================================================ import { ColumnDef } from "@tanstack/react-table" import { PaginationInfo } from "./common.types" // Organization statistics data export interface OrganizationStats { totalDomains?: number // Total domains count totalEndpoints?: number // Total endpoints count totalTargets?: number // Total targets count } // Organization related type definitions (matches backend Organization model) export interface Organization { id: number name: string description: string createdAt: string // Backend created_at auto-converted to camelCase by Django updatedAt: string // Backend updated_at // Associated data (added via serializer) targets?: Array<{ id: number name: string }> // Statistics data (optional, obtained via aggregate query) stats?: OrganizationStats targetCount?: number // Target count (for list display) domainCount?: number // Domain count (for list display) endpointCount?: number // Endpoint count (for list display) } // Organization list response type (matches backend actual response format) export interface OrganizationsResponse { results: T[] // Organization data list total: number // Total record count (backend actual field) page: number // Current page number pageSize: number // Page size totalPages: number // Total pages // Compatibility fields count?: number // DRF standard field (backward compatible) next?: string | null // Next page link (DRF standard field) previous?: string | null // Previous page link (DRF standard field) organizations?: T[] pagination?: { total: number page: number pageSize: number totalPages: number } } // Create organization request type export interface CreateOrganizationRequest { name: string description: string } // Update organization request type export interface UpdateOrganizationRequest { name: string description: string } // Organization data table component props type definition export interface OrganizationDataTableProps { data: Organization[] // Organization data array columns: ColumnDef[] // Column definitions array onAddNew?: () => void // Add new organization callback onBulkDelete?: () => void // Bulk delete callback onSelectionChange?: (selectedRows: Organization[]) => void // Selected rows change callback searchPlaceholder?: string // Search input placeholder searchColumn?: string // Column name to search searchValue?: string // Controlled: search input current value (server-side search) onSearch?: (value: string) => void // Controlled: search input change callback (server-side search) isSearching?: boolean // Searching state (show loading animation) // Pagination related props pagination?: { pageIndex: number pageSize: number } setPagination?: (pagination: { pageIndex: number; pageSize: number }) => void paginationInfo?: PaginationInfo onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void } ================================================ FILE: frontend/types/psl.d.ts ================================================ declare module 'psl' { export interface ParsedDomain { input: string tld: string | null sld: string | null domain: string | null subdomain: string | null listed: boolean error?: Error } export function parse(domain: string): ParsedDomain export function get(domain: string): string | null export function isValid(domain: string): boolean } ================================================ FILE: frontend/types/scan.types.ts ================================================ /** * Scan task status enum * Consistent with backend ScanStatus */ export type ScanStatus = "cancelled" | "completed" | "failed" | "initiated" | "running" /** * Scan stage (dynamic, from engine_config key) */ export type ScanStage = string /** * Stage progress status */ export type StageStatus = "pending" | "running" | "completed" | "failed" | "cancelled" /** * Single stage progress info */ export interface StageProgressItem { status: StageStatus order: number // Execution order (starting from 0) startedAt?: string // ISO time string duration?: number // Execution duration (seconds) detail?: string // Completion details error?: string // Error message reason?: string // Skip reason } /** * Stage progress dictionary (dynamic keys) */ export type StageProgress = Record export interface ScanRecord { id: number target?: number // Target ID (corresponds to backend target) targetName: string // Target name (corresponds to backend targetName) workerName?: string | null // Worker node name (corresponds to backend worker_name) summary: { subdomains: number websites: number directories: number endpoints: number ips: number vulnerabilities: { total: number critical: number high: number medium: number low: number } } engineIds: number[] // Engine ID list (corresponds to backend engine_ids) engineNames: string[] // Engine name list (corresponds to backend engine_names) createdAt: string // Creation time (corresponds to backend createdAt) status: ScanStatus errorMessage?: string // Error message (corresponds to backend errorMessage, has value when failed) progress: number // 0-100 currentStage?: ScanStage // Current scan stage (only has value in running status) stageProgress?: StageProgress // Stage progress details yamlConfiguration?: string // YAML configuration string } export interface GetScansParams { page?: number pageSize?: number status?: ScanStatus search?: string target?: number // Filter by target ID } export interface GetScansResponse { results: ScanRecord[] // Corresponds to backend results field total: number page: number pageSize: number totalPages: number } /** * Initiate scan request parameters (for existing target/organization) */ export interface InitiateScanRequest { organizationId?: number // Organization ID (choose one) targetId?: number // Target ID (choose one) configuration: string // YAML configuration string (required) engineIds: number[] // Scan engine ID list (required) engineNames: string[] // Engine name list (required) } /** * Quick scan request parameters (auto-create target and scan) */ export interface QuickScanRequest { targets: { name: string }[] // Target list configuration: string // YAML configuration string (required) engineIds: number[] // Scan engine ID list (required) engineNames: string[] // Engine name list (required) } /** * Quick scan response */ export interface QuickScanResponse { count: number // Number of scan tasks created targetStats: { created: number skipped: number failed: number } assetStats: { websites: number endpoints: number } errors: Array<{ input: string; error: string }> scans: ScanTask[] } /** * Single scan task info */ export interface ScanTask { id: number target: number // Target ID engineIds: number[] // Engine ID list engineNames: string[] // Engine name list status: ScanStatus createdAt: string updatedAt: string } /** * Initiate scan response */ export interface InitiateScanResponse { message: string // Success message count: number // Number of scan tasks created scans: ScanTask[] // Scan task list } ================================================ FILE: frontend/types/scheduled-scan.types.ts ================================================ /** * Scheduled scan type definitions */ // Scheduled scan status export type ScheduledScanStatus = "active" | "paused" | "expired" // Scan mode export type ScanMode = 'organization' | 'target' // Scheduled scan interface export interface ScheduledScan { id: number name: string engineIds: number[] // Associated scan engine ID list engineNames: string[] // Associated scan engine name list organizationId: number | null // Organization ID (organization scan mode) organizationName: string | null // Organization name targetId: number | null // Target ID (target scan mode) targetName: string | null // Target name (target scan mode) scanMode: ScanMode // Scan mode cronExpression: string // Cron expression isEnabled: boolean // Whether enabled nextRunTime?: string // Next run time lastRunTime?: string // Last run time runCount: number // Execution count createdAt: string updatedAt: string } // Create scheduled scan request (organizationId and targetId are mutually exclusive) export interface CreateScheduledScanRequest { name: string configuration: string // YAML configuration string (required) engineIds: number[] // Engine ID list (required) engineNames: string[] // Engine name list (required) organizationId?: number // Organization scan mode targetId?: number // Target scan mode cronExpression: string // Cron expression, format: minute hour day month weekday isEnabled?: boolean } // Update scheduled scan request (organizationId and targetId are mutually exclusive) export interface UpdateScheduledScanRequest { name?: string configuration?: string // YAML configuration string engineIds?: number[] // Engine ID list (optional, for reference) engineNames?: string[] // Engine name list (optional, for reference) organizationId?: number // Organization scan mode (clears targetId when set) targetId?: number // Target scan mode (clears organizationId when set) cronExpression?: string isEnabled?: boolean } // API response export interface GetScheduledScansResponse { results: ScheduledScan[] total: number page: number pageSize: number totalPages: number } ================================================ FILE: frontend/types/search.types.ts ================================================ // 资产类型 export type AssetType = 'website' | 'endpoint' // Website 搜索结果类型 export interface WebsiteSearchResult { id: number url: string host: string title: string technologies: string[] statusCode: number | null contentLength: number | null contentType: string webserver: string location: string vhost: boolean | null responseHeaders: Record responseBody: string createdAt: string | null targetId: number vulnerabilities: Vulnerability[] } // Endpoint 搜索结果类型 export interface EndpointSearchResult { id: number url: string host: string title: string technologies: string[] statusCode: number | null contentLength: number | null contentType: string webserver: string location: string vhost: boolean | null responseHeaders: Record responseBody: string createdAt: string | null targetId: number matchedGfPatterns: string[] } // 通用搜索结果类型（兼容旧代码） export type SearchResult = WebsiteSearchResult | EndpointSearchResult export interface Vulnerability { id?: number name: string severity: 'critical' | 'high' | 'medium' | 'low' | 'info' | 'unknown' vulnType: string url?: string } // 搜索状态 export type SearchState = 'initial' | 'searching' | 'results' // 搜索响应类型 export interface SearchResponse { results: SearchResult[] total: number page: number pageSize: number totalPages: number assetType: AssetType } // 搜索操作符类型 export type SearchOperator = '=' | '==' | '!=' // 单个搜索条件 export interface SearchCondition { field: string operator: SearchOperator value: string } // 搜索表达式（支持 AND/OR 组合） export interface SearchExpression { conditions: SearchCondition[] // 同一组内的条件用 AND 连接 orGroups?: SearchExpression[] // 多组之间用 OR 连接 } // 发送给后端的搜索参数 export interface SearchParams { q?: string // 完整的搜索表达式字符串 asset_type?: AssetType // 资产类型 page?: number pageSize?: number } ================================================ FILE: frontend/types/subdomain.types.ts ================================================ import { ColumnDef } from "@tanstack/react-table" import { PaginationParams, PaginationInfo } from "./common.types" import type { Organization } from "./organization.types" import type { BatchCreateResponse } from "./api-response.types" import type { Port } from "./ip-address.types" // Subdomain related type definitions (renamed from domain.types.ts) // Basic subdomain type (consistent with frontend camelCase naming convention) // Note: Backend returns snake_case, but response interceptor auto-converts to camelCase export interface Subdomain { id: number name: string createdAt: string // Creation time } // Get subdomains list request parameters export interface GetSubdomainsParams extends PaginationParams { organizationId: number } // Get subdomains list response (field 'domains' kept consistent with backend) export interface GetSubdomainsResponse { domains: Subdomain[] total: number page: number pageSize: number // [OK] Using camelCase totalPages: number // [OK] Using camelCase } // Get all subdomains request parameters // Backend sorts by update time descending, custom sorting not supported export interface GetAllSubdomainsParams { page?: number pageSize?: number search?: string } // Get all subdomains response (field 'domains' kept consistent with backend) export interface GetAllSubdomainsResponse { domains: Subdomain[] total: number page: number pageSize: number totalPages: number } // Get single subdomain detail response (backend returns object directly) export type GetSubdomainByIDResponse = Subdomain // Subdomain data table component props type definition export interface SubdomainDataTableProps { data: Subdomain[] // Subdomain data array columns: ColumnDef[] // Column definitions array onAddNew?: () => void // Add new subdomain callback onBulkDelete?: () => void // Bulk delete callback onSelectionChange?: (selectedRows: Subdomain[]) => void // Selected rows change callback searchPlaceholder?: string // Search input placeholder searchColumn?: string // Column name to search // Pagination related props pagination?: { pageIndex: number pageSize: number } setPagination?: (pagination: { pageIndex: number; pageSize: number }) => void paginationInfo?: PaginationInfo onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void } // Subdomain batch create response (reuse common type) export type BatchCreateSubdomainsResponse = BatchCreateResponse ================================================ FILE: frontend/types/system-log.types.ts ================================================ export interface SystemLogResponse { content: string } export type LogCategory = 'system' | 'error' | 'performance' | 'container' export interface LogFile { filename: string category: LogCategory size: number modifiedAt: string } export interface LogFilesResponse { files: LogFile[] } ================================================ FILE: frontend/types/target.types.ts ================================================ /** * Target type definitions */ /** * Target type */ export type TargetType = 'domain' | 'ip' | 'cidr' /** * Target basic info (for list display) */ export interface Target { id: number name: string type: TargetType // Backend field: type description?: string createdAt: string // Backend field: created_at, auto-converted to createdAt lastScannedAt?: string // Backend field: last_scanned_at, auto-converted to lastScannedAt // Associated data (added via serializer) organizations?: Array<{ id: number name: string }> } /** * Target detail info (includes statistics data) */ export interface TargetDetail extends Target { summary: { subdomains: number websites: number endpoints: number ips: number vulnerabilities: { total: number critical: number high: number medium: number low: number } } } /** * Target list response type */ export interface TargetsResponse { results: Target[] total: number // Backend returns total, not count page: number // Current page number pageSize: number // Page size totalPages: number // Total pages // Compatibility fields (for backward compatibility) count?: number // Optional, equivalent to total next?: string | null previous?: string | null } /** * Create target request parameters */ export interface CreateTargetRequest { name: string description?: string } /** * Update target request parameters */ export interface UpdateTargetRequest { name?: string description?: string } /** * Batch delete targets request parameters */ export interface BatchDeleteTargetsRequest { ids: number[] } /** * Batch delete targets response */ export interface BatchDeleteTargetsResponse { deletedCount: number failedIds?: number[] } /** * Batch create targets request parameters */ export interface BatchCreateTargetsRequest { targets: Array<{ name: string description?: string }> organizationId?: number // Optional: associate with specified organization } /** * Batch create targets response */ export interface BatchCreateTargetsResponse { createdCount: number reusedCount: number failedCount: number failedTargets: Array<{ name: string reason: string }> message: string } ================================================ FILE: frontend/types/tool.types.ts ================================================ // Tool type enum export type ToolType = 'opensource' | 'custom' // Tool type definition (matches frontend camelCase converted format) // Note: Backend returns snake_case, api-client.ts auto-converts to camelCase export interface Tool { id: number name: string // Tool name type: ToolType // Tool type: opensource/custom (backend: type) repoUrl: string // Repository URL (backend: repo_url) version: string // Version number description: string // Tool description categoryNames: string[] // Category tags array (backend: category_names) directory: string // Tool path (backend: directory) installCommand: string // Install command (backend: install_command) updateCommand: string // Update command (backend: update_command) versionCommand: string // Version query command (backend: version_command) createdAt: string // Backend: created_at updatedAt: string // Backend: updated_at } // Tool category name to display name mapping // All categories reference backend model design document export const CategoryNameMap: Record = { subdomain: 'Subdomain Scan', vulnerability: 'Vulnerability Scan', port: 'Port Scan', directory: 'Directory Scan', dns: 'DNS Resolution', http: 'HTTP Probe', crawler: 'Web Crawler', recon: 'Reconnaissance', fuzzer: 'Fuzzing', wordlist: 'Wordlist Generation', screenshot: 'Screenshot Tool', exploit: 'Exploitation', network: 'Network Scan', other: 'Other', } // Tool list response type (api-client.ts auto-converts to camelCase) export interface GetToolsResponse { tools: Tool[] total: number page: number pageSize: number // Backend returns camelCase format totalPages: number // Backend returns camelCase format // Compatibility fields (backward compatible) page_size?: number total_pages?: number } // Create tool request type export interface CreateToolRequest { name: string type: ToolType // Tool type (required) repoUrl?: string version?: string description?: string categoryNames?: string[] // Category tags array directory?: string // Tool path (required for custom tools) installCommand?: string // Install command (required for opensource tools) updateCommand?: string // Update command (required for opensource tools) versionCommand?: string // Version query command (required for opensource tools) } // Update tool request type export interface UpdateToolRequest { name?: string type?: ToolType // Tool type (for command field validation) repoUrl?: string version?: string description?: string categoryNames?: string[] // Category tags array directory?: string // Tool path installCommand?: string // Install command updateCommand?: string // Update command versionCommand?: string // Version query command } // Tool query parameters // Backend sorts by update time descending, custom sorting not supported export interface GetToolsParams { page?: number pageSize?: number } // Tool filter type export type ToolFilter = 'all' | 'default' | 'custom' ================================================ FILE: frontend/types/version.types.ts ================================================ export interface VersionInfo { version: string githubRepo: string } export interface UpdateCheckResult { currentVersion: string latestVersion: string hasUpdate: boolean releaseUrl: string releaseNotes: string | null publishedAt: string | null } ================================================ FILE: frontend/types/vulnerability.types.ts ================================================ import { ColumnDef } from "@tanstack/react-table" import { PaginationParams, PaginationInfo } from "./common.types" import type { BatchCreateResponse } from "./api-response.types" // Vulnerability related type definitions // Vulnerability severity export type VulnerabilitySeverity = "critical" | "high" | "medium" | "low" | "info" // Vulnerability status export type VulnerabilityStatus = "open" | "in_progress" | "resolved" | "false_positive" | "accepted" // Tool raw output (JSON) export interface VulnerabilityRawOutput { // Dalfox fields type?: string // R=Reflected, S=Stored inject_type?: string // Injection type method?: string // HTTP method data?: string // URL param?: string // Parameter name payload?: string // Payload evidence?: string // Evidence cwe?: string // CWE message_str?: string // Message // Nuclei fields "template-id"?: string "template-path"?: string "matched-at"?: string host?: string request?: string response?: string "curl-command"?: string ip?: string info?: { name?: string description?: string severity?: string tags?: string[] reference?: string[] classification?: { "cve-id"?: string "cwe-id"?: string[] } } // Other fields [key: string]: unknown } // Basic vulnerability type (field names match backend DRF serializer output - camelCase format) export interface Vulnerability { id: number target?: number // Associated target ID url: string // URL where vulnerability exists vulnType: string // Vulnerability type (e.g. xss-reflected, template-id) severity: VulnerabilitySeverity source: string // Vulnerability source (dalfox, nuclei) cvssScore?: number // CVSS score description?: string // Simplified description rawOutput?: VulnerabilityRawOutput // Tool raw output createdAt: string // Creation time } // Get vulnerabilities list request parameters export interface GetVulnerabilitiesParams extends PaginationParams { targetId?: number domainId?: number endpointId?: number severity?: VulnerabilitySeverity status?: VulnerabilityStatus filter?: string // Smart filter syntax } // Get vulnerabilities list response export interface GetVulnerabilitiesResponse { vulnerabilities: Vulnerability[] total: number page: number pageSize: number totalPages: number } // Get single vulnerability detail response export type GetVulnerabilityByIDResponse = Vulnerability // Vulnerability data table component props type definition export interface VulnerabilityDataTableProps { data: Vulnerability[] columns: ColumnDef[] onAddNew?: () => void onBulkDelete?: () => void onSelectionChange?: (selectedRows: Vulnerability[]) => void searchPlaceholder?: string searchColumn?: string pagination?: { pageIndex: number pageSize: number } setPagination?: (pagination: { pageIndex: number; pageSize: number }) => void paginationInfo?: PaginationInfo onPaginationChange?: (pagination: { pageIndex: number; pageSize: number }) => void } // Vulnerability batch create response export type BatchCreateVulnerabilitiesResponse = BatchCreateResponse ================================================ FILE: frontend/types/website.types.ts ================================================ /** * WebSite related type definitions */ export interface WebSite { id: number scan?: number target?: number url: string host: string location: string title: string webserver: string contentType: string statusCode: number contentLength: number responseBody: string tech: string[] vhost: boolean | null subdomain: string responseHeaders?: string createdAt: string } export interface Technology { id: number name: string version?: string category?: string } export interface WebSiteFilters { url?: string title?: string statusCode?: number webserver?: string contentType?: string } export interface WebSiteListResponse { results: WebSite[] total: number page: number pageSize: number totalPages: number } ================================================ FILE: frontend/types/wordlist.types.ts ================================================ // Wordlist related types import type { PaginationInfo } from "@/types/common.types" // Wordlist basic info export interface Wordlist { id: number name: string description?: string // File size (bytes), optional, returned by backend fileSize?: number // Line count, for estimating duration, optional, returned by backend lineCount?: number // File SHA-256 hash, for cache validation fileHash?: string createdAt: string updatedAt: string } // Get wordlists list response (follows unified pagination structure) export interface GetWordlistsResponse extends PaginationInfo { results: Wordlist[] } ================================================ FILE: frontend/types/worker.types.ts ================================================ /** * Worker node related type definitions */ // Worker status enum (unified between frontend and backend) export type WorkerStatus = 'pending' | 'deploying' | 'online' | 'offline' | 'updating' | 'outdated' // Worker node export interface WorkerNode { id: number name: string ipAddress: string sshPort: number username: string status: WorkerStatus isLocal: boolean // Whether it's a local node (inside Docker container) createdAt: string updatedAt?: string info?: { cpuPercent?: number memoryPercent?: number } } // Create Worker request export interface CreateWorkerRequest { name: string ipAddress: string sshPort?: number username?: string password: string } // Update Worker request export interface UpdateWorkerRequest { name?: string sshPort?: number username?: string password?: string } // Worker list response export interface WorkersResponse { results: WorkerNode[] total: number page: number pageSize: number } ================================================ FILE: frontend/vercel.json ================================================ { "$schema": "https://openapi.vercel.sh/vercel.json", "framework": "nextjs", "buildCommand": "pnpm build", "installCommand": "pnpm install", "env": { "NEXT_PUBLIC_USE_MOCK": "true", "NEXT_PUBLIC_SKIP_AUTH": "true" } } ================================================ FILE: install.sh ================================================ #!/bin/bash set -e # ============================================================================== # 用法: # sudo ./install.sh 生产模式（拉取 Docker Hub 镜像） # sudo ./install.sh --dev 开发模式（本地构建 + 调试日志） # sudo ./install.sh --no-frontend 安装并只启动后端 # sudo ./install.sh --dev --no-frontend 开发模式 + 只启动后端 # ============================================================================== # 解析参数 START_ARGS="" DEV_MODE=false GIT_MIRROR="" for arg in "$@"; do case $arg in --dev) DEV_MODE=true START_ARGS="$START_ARGS --dev" ;; --no-frontend) START_ARGS="$START_ARGS --no-frontend" ;; --mirror) GIT_MIRROR="https://gh-proxy.org" ;; --mirror=*) GIT_MIRROR="${arg#*=}" ;; esac done # ============================================================================== # 颜色定义 # ============================================================================== RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[0;33m' BLUE='\033[0;34m' CYAN='\033[0;36m' BOLD='\033[1m' RESET='\033[0m' # ============================================================================== # 额外颜色定义 # ============================================================================== MAGENTA='\033[0;35m' DIM='\033[2m' BG_BLUE='\033[44m' BG_CYAN='\033[46m' # ============================================================================== # 日志函数 # ============================================================================== info() { echo -e " ${CYAN}▸${RESET} $1" } success() { echo -e " ${GREEN}✔${RESET} $1" } warn() { echo -e " ${YELLOW}⚠${RESET} $1" } error() { echo -e " ${RED}✖${RESET} $1" } step() { echo -e "\n${BOLD}${CYAN}┌── $1${RESET}" } header() { echo -e "" echo -e "${BOLD}${BLUE}╔══════════════════════════════════════════════════════════╗${RESET}" echo -e "${BOLD}${BLUE}║${RESET} $1" echo -e "${BOLD}${BLUE}╚══════════════════════════════════════════════════════════╝${RESET}" } # ============================================================================== # 显示横幅 # ============================================================================== show_banner() { clear echo -e "" echo -e "${CYAN}${BOLD} ██╗ ██╗██╗███╗ ██╗ ██████╗ ██████╗ ██╗███╗ ██╗${RESET}" echo -e "${CYAN} ╚██╗██╔╝██║████╗ ██║██╔════╝ ██╔══██╗██║████╗ ██║${RESET}" echo -e "${BLUE}${BOLD} ╚███╔╝ ██║██╔██╗ ██║██║ ███╗██████╔╝██║██╔██╗ ██║${RESET}" echo -e "${BLUE} ██╔██╗ ██║██║╚██╗██║██║ ██║██╔══██╗██║██║╚██╗██║${RESET}" echo -e "${MAGENTA}${BOLD} ██╔╝ ██╗██║██║ ╚████║╚██████╔╝██║ ██║██║██║ ╚████║${RESET}" echo -e "${MAGENTA} ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝ ╚═════╝ ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝${RESET}" echo -e "" echo -e "${DIM} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${RESET}" echo -e "${BOLD} 🔒 分布式安全扫描平台 │ 一键部署 (Ubuntu)${RESET}" echo -e "${DIM} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${RESET}" echo -e "" } # ============================================================================== # 权限检查 # ============================================================================== if [ "$EUID" -ne 0 ]; then error "请使用 sudo 运行此脚本" echo -e " 正确用法: ${BOLD}sudo ./install.sh${RESET}" exit 1 fi # 获取真实用户（通过 sudo 运行时 $SUDO_USER 是真实用户） REAL_USER="${SUDO_USER:-$USER}" # macOS 没有 getent，使用 dscl 或 ~$USER 替代 if command -v getent &>/dev/null; then REAL_HOME=$(getent passwd "$REAL_USER" | cut -d: -f6) else REAL_HOME=$(eval echo "~$REAL_USER") fi # 项目根目录 ROOT_DIR="$(cd "$(dirname "$0")" && pwd)" cd "$ROOT_DIR" # 从 VERSION 文件读取版本号 VERSION_FILE="$ROOT_DIR/VERSION" if [ -f "$VERSION_FILE" ]; then APP_VERSION=$(cat "$VERSION_FILE" | tr -d '[:space:]') else error "VERSION 文件不存在，无法确定安装版本" exit 1 fi # 显示标题 show_banner info "当前用户: ${BOLD}$REAL_USER${RESET}" info "项目路径: ${BOLD}$ROOT_DIR${RESET}" info "安装版本: ${BOLD}$APP_VERSION${RESET}" if [ -n "$GIT_MIRROR" ]; then info "Git 加速: ${BOLD}${GREEN}已启用${RESET} - $GIT_MIRROR" fi # ============================================================================== # 工具函数 # ============================================================================== # 生成随机字符串 generate_random_string() { local length="${1:-32}" if command -v openssl >/dev/null 2>&1; then openssl rand -hex "$length" 2>/dev/null | cut -c1-"$length" else date +%s%N | sha256sum | cut -c1-"$length" fi } # 跨平台 sed -i（兼容 macOS 和 Linux） sed_inplace() { if [[ "$OSTYPE" == "darwin"* ]]; then sed -i '' "$@" else sed -i "$@" fi } # 更新 .env 文件中的某个键 update_env_var() { local file="$1" local key="$2" local value="$3" if grep -q "^$key=" "$file"; then sed_inplace "s|^$key=.*|$key=$value|" "$file" else echo "$key=$value" >> "$file" fi } # 用于保存生成的密码，方便最后显示 GENERATED_DB_PASSWORD="" GENERATED_DJANGO_KEY="" # 生成自签 HTTPS 证书（使用容器，避免宿主机 openssl 兼容性问题） generate_self_signed_cert() { local ssl_dir="$DOCKER_DIR/nginx/ssl" local fullchain="$ssl_dir/fullchain.pem" local privkey="$ssl_dir/privkey.pem" if [ -f "$fullchain" ] && [ -f "$privkey" ]; then success "检测到已有 HTTPS 证书，跳过自签" return fi info "未检测到 HTTPS 证书，正在生成自签证书（localhost）..." mkdir -p "$ssl_dir" # 使用容器生成证书，避免依赖宿主机 openssl 版本 if docker run --rm -v "$ssl_dir:/ssl" alpine/openssl \ req -x509 -nodes -newkey rsa:2048 -days 365 \ -keyout /ssl/privkey.pem \ -out /ssl/fullchain.pem \ -subj "/C=CN/ST=NA/L=NA/O=XingRin/CN=localhost" \ -addext "subjectAltName=DNS:localhost,IP:127.0.0.1" \ >/dev/null 2>&1; then success "自签证书已生成: $ssl_dir" else warn "自签证书生成失败，请手动放置证书到 $ssl_dir" fi } # 自动为 docker/.env 填充敏感变量 auto_fill_docker_env_secrets() { local env_file="$1" info "自动生成 DJANGO_SECRET_KEY、DB_PASSWORD 和 WORKER_API_KEY..." GENERATED_DJANGO_KEY="$(generate_random_string 64)" GENERATED_DB_PASSWORD="$(generate_random_string 32)" GENERATED_WORKER_API_KEY="$(generate_random_string 32)" update_env_var "$env_file" "DJANGO_SECRET_KEY" "$GENERATED_DJANGO_KEY" update_env_var "$env_file" "DB_PASSWORD" "$GENERATED_DB_PASSWORD" update_env_var "$env_file" "WORKER_API_KEY" "$GENERATED_WORKER_API_KEY" success "密钥生成完成" } # 配置 Docker 镜像加速 # 使用国内公共镜像源（pull-through cache 模式，首次拉取会从 Docker Hub 同步） configure_docker_mirror() { local daemon_json="/etc/docker/daemon.json" # 这些镜像源采用 pull-through cache 模式： # - 首次拉取：从 Docker Hub 获取并缓存 # - 后续拉取：直接从缓存返回 # - 支持所有公开镜像，包括用户上传的最新镜像 local mirrors='[ "https://docker.1ms.run", "https://docker.1panel.live", "https://hub.rat.dev", "https://docker.m.daocloud.io", "https://dockerproxy.net" ]' info "配置 Docker 镜像加速..." # 确保 Docker 配置目录存在 mkdir -p /etc/docker if [ ! -f "$daemon_json" ]; then # 文件不存在，直接创建 echo "{\"registry-mirrors\": $mirrors}" | jq '.' > "$daemon_json" success "Docker 镜像加速配置完成" else # 文件存在，用 jq 合并配置 if jq -e '.' "$daemon_json" >/dev/null 2>&1; then # 有效的 JSON，合并配置 local temp_file=$(mktemp) jq --argjson mirrors "$mirrors" '. + {"registry-mirrors": $mirrors}' "$daemon_json" > "$temp_file" mv "$temp_file" "$daemon_json" success "Docker 镜像加速配置已合并到现有配置" else # 无效的 JSON，备份后重新创建 warn "现有 daemon.json 格式无效，已备份为 daemon.json.bak" cp "$daemon_json" "${daemon_json}.bak" echo "{\"registry-mirrors\": $mirrors}" | jq '.' > "$daemon_json" success "Docker 镜像加速配置完成" fi fi # 重启 Docker 使配置生效 if systemctl is-active --quiet docker; then info "重启 Docker 服务..." systemctl restart docker sleep 2 if systemctl is-active --quiet docker; then success "Docker 服务重启完成" else warn "Docker 服务重启失败，请手动检查" fi fi } # 获取加速后的 Docker 镜像地址（保留函数以兼容现有代码） get_accelerated_image() { local image="$1" # 镜像加速通过 daemon.json 的 registry-mirrors 实现 # 这里直接返回原始地址 echo "$image" } # 检测远程 PostgreSQL 是否有 pg_ivm 扩展 check_pg_ivm() { local db_host="$1" local db_port="$2" local db_user="$3" local db_password="$4" local db_name="$5" info "检测 pg_ivm 扩展..." # 尝试创建 pg_ivm 扩展 if docker run --rm \ -e PGPASSWORD="$db_password" \ postgres:15 \ psql "postgresql://$db_user@$db_host:$db_port/$db_name" \ -c "CREATE EXTENSION IF NOT EXISTS pg_ivm;" 2>/dev/null; then success "pg_ivm 扩展已启用" return 0 else echo error "pg_ivm 扩展未安装或无法启用" echo echo -e "${YELLOW}==========================================" echo -e "pg_ivm 是必需的扩展，用于增量维护物化视图" echo -e "要求: PostgreSQL 13+ 版本" echo -e "==========================================${RESET}" echo echo -e "请在远程 PostgreSQL 服务器上执行以下命令一键安装:" echo echo -e " ${BOLD}curl -sSL https://raw.githubusercontent.com/yyhuni/xingrin/main/docker/scripts/install-pg-ivm.sh | sudo bash${RESET}" echo echo -e "安装完成后，请重新运行 install.sh" echo -e "${YELLOW}==========================================${RESET}" return 1 fi } # 显示安装总结信息 show_summary() { echo if [ "$1" = "success" ]; then # 成功 Banner echo -e "" echo -e "${GREEN}${BOLD} ╔═══════════════════════════════════════════════════╗${RESET}" echo -e "${GREEN}${BOLD} ║ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ██████╗ ██████╗ ███╗ ██╗███████╗██║ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ██╔══██╗██╔═══██╗████╗ ██║██╔════╝██║ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ██║ ██║██║ ██║██╔██╗ ██║█████╗ ██║ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ██║ ██║██║ ██║██║╚██╗██║██╔══╝ ╚═╝ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ██████╔╝╚██████╔╝██║ ╚████║███████╗██║ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ╚═════╝ ╚═════╝ ╚═╝ ╚═══╝╚══════╝╚═╝ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ✨ XingRin 平台部署成功！ ║${RESET}" echo -e "${GREEN}${BOLD} ║ ║${RESET}" echo -e "${GREEN}${BOLD} ╚═══════════════════════════════════════════════════╝${RESET}" echo -e "" else header "安装完成 Summary" fi if [ -f "$DOCKER_DIR/.env" ]; then # 从 .env 读取配置用于显示 DB_HOST=$(grep "^DB_HOST=" "$DOCKER_DIR/.env" | cut -d= -f2) DB_USER=$(grep "^DB_USER=" "$DOCKER_DIR/.env" | cut -d= -f2) DB_PASSWORD=$(grep "^DB_PASSWORD=" "$DOCKER_DIR/.env" | cut -d= -f2) echo -e "${DIM} ──────────────────────────────────────────────────────${RESET}" echo -e " ${YELLOW}🗄 数据库配置${RESET}" echo -e " ${DIM}├─${RESET} 服务器地址: ${BOLD}${DB_HOST:-未知}${RESET}" echo -e " ${DIM}├─${RESET} 用户名: ${BOLD}${DB_USER:-未知}${RESET}" echo -e " ${DIM}└─${RESET} 密码: ${BOLD}${DB_PASSWORD:-未知}${RESET}" echo fi # 获取访问地址 PUBLIC_HOST=$(grep "^PUBLIC_HOST=" "$DOCKER_DIR/.env" 2>/dev/null | cut -d= -f2) if [ -n "$PUBLIC_HOST" ] && [ "$PUBLIC_HOST" != "server" ]; then ACCESS_HOST="$PUBLIC_HOST" else ACCESS_HOST="localhost" fi echo -e "${DIM} ──────────────────────────────────────────────────────${RESET}" echo -e " ${GREEN}🌐 访问地址${RESET}" echo -e " ${DIM}└─${RESET} XingRin: ${BOLD}${CYAN}https://${ACCESS_HOST}:8083/${RESET}" echo echo -e "${DIM} ──────────────────────────────────────────────────────${RESET}" echo -e " ${MAGENTA}🔑 默认登录${RESET}" echo -e " ${DIM}├─${RESET} 用户名: ${BOLD}admin${RESET}" echo -e " ${DIM}└─${RESET} 密码: ${BOLD}admin${RESET}" echo -e " ${YELLOW} ⚠ 请首次登录后修改密码!${RESET}" echo if [ "$1" = "success" ]; then : # 成功模式，不显示后续命令 else echo -e "${DIM} ──────────────────────────────────────────────────────${RESET}" echo -e " ${BLUE}🚀 后续命令${RESET}" echo -e " ${DIM}├─${RESET} ./start.sh ${DIM}# 启动所有服务${RESET}" echo -e " ${DIM}├─${RESET} ./start.sh --no-frontend ${DIM}# 只启动后端${RESET}" echo -e " ${DIM}└─${RESET} ./stop.sh ${DIM}# 停止所有服务${RESET}" echo fi echo -e "${DIM} ──────────────────────────────────────────────────────${RESET}" echo -e " ${YELLOW}⚠ 云服务器端口提醒${RESET}" echo -e " ${DIM}└─${RESET} 某些厂商默认开启安全策略（阿里云/腾讯云/华为云）" echo -e " 端口未放行可能导致无法访问，请在云控制台放行: ${BOLD}8083, 5432${RESET}" echo } # ============================================================================== # 安装流程 # ============================================================================== step "[1/3] 检查基础命令" MISSING_CMDS=() for cmd in git curl jq; do if ! command -v "$cmd" >/dev/null 2>&1; then MISSING_CMDS+=("$cmd") warn "未安装: $cmd" else success "已安装: $cmd" fi done if [ ${#MISSING_CMDS[@]} -gt 0 ]; then info "正在安装缺失命令: ${MISSING_CMDS[*]}..." apt update -qq apt install -y "${MISSING_CMDS[@]}" success "基础命令安装完成" fi step "[2/3] 检查 Docker 环境" if command -v docker >/dev/null 2>&1; then success "已安装: docker" else info "正在安装 Docker..." # 根据是否启用加速选择下载方式 if [ -n "$GIT_MIRROR" ]; then # 使用阿里云 Docker 安装脚本（国内加速） info "使用国内镜像安装 Docker..." if curl -fsSL https://get.docker.com | sh -s -- --mirror Aliyun; then success "Docker 安装完成（使用阿里云镜像）" else warn "阿里云镜像安装失败，尝试官方源..." if curl -fsSL https://get.docker.com | sh; then success "Docker 安装完成" else error "Docker 安装失败" exit 1 fi fi else # 默认从官方源下载 if curl -fsSL https://get.docker.com | sh; then success "Docker 安装完成" else error "Docker 安装脚本下载失败" error "如果您在中国大陆，建议使用 --mirror 参数启用加速" exit 1 fi fi usermod -aG docker "$REAL_USER" # 配置 Docker 镜像加速（仅当启用 --mirror 时） if [ -n "$GIT_MIRROR" ]; then configure_docker_mirror fi fi # 如果 Docker 已安装但启用了 --mirror，也配置镜像加速 if [ -n "$GIT_MIRROR" ] && command -v docker &>/dev/null; then # 检查是否已配置镜像加速 if [ ! -f "/etc/docker/daemon.json" ] || ! grep -q "registry-mirrors" /etc/docker/daemon.json 2>/dev/null; then configure_docker_mirror fi fi # 检查 docker compose if docker compose version >/dev/null 2>&1; then success "已安装: docker compose" else info "正在安装 docker-compose-plugin..." apt install -y docker-compose-plugin success "docker compose 安装完成" fi # ============================================================================== # 交换分区配置（仅 Linux） # ============================================================================== if [[ "$OSTYPE" == "linux-gnu"* ]]; then # 获取当前内存大小（GB，四舍五入） TOTAL_MEM_KB=$(grep MemTotal /proc/meminfo | awk '{print $2}') TOTAL_MEM_GB=$(awk "BEGIN {printf \"%.0f\", $TOTAL_MEM_KB / 1024 / 1024}") # 获取当前交换分区大小（GB，四舍五入） CURRENT_SWAP_KB=$(grep SwapTotal /proc/meminfo | awk '{print $2}') CURRENT_SWAP_GB=$(awk "BEGIN {printf \"%.0f\", $CURRENT_SWAP_KB / 1024 / 1024}") # 推荐交换分区大小（与内存相同，最小1G，最大8G） RECOMMENDED_SWAP=$TOTAL_MEM_GB [ "$RECOMMENDED_SWAP" -lt 1 ] && RECOMMENDED_SWAP=1 [ "$RECOMMENDED_SWAP" -gt 8 ] && RECOMMENDED_SWAP=8 echo "" info "系统内存: ${TOTAL_MEM_GB}GB，当前交换分区: ${CURRENT_SWAP_GB}GB" # 如果交换分区小于推荐值，提示用户 if [ "$CURRENT_SWAP_GB" -lt "$RECOMMENDED_SWAP" ]; then echo -n -e "${BOLD}${CYAN}[?] 是否开启 ${RECOMMENDED_SWAP}GB 交换分区？可提升扫描稳定性 (Y/n) ${RESET}" read -r setup_swap echo if [[ ! $setup_swap =~ ^[Nn]$ ]]; then info "正在配置 ${RECOMMENDED_SWAP}GB 交换分区..." if bash "$ROOT_DIR/docker/scripts/setup-swap.sh" "$RECOMMENDED_SWAP"; then success "交换分区配置完成" else warn "交换分区配置失败，继续安装..." fi else info "跳过交换分区配置" fi else success "交换分区已足够: ${CURRENT_SWAP_GB}GB" fi fi step "[3/3] 初始化配置" # 创建数据目录 info "创建数据目录..." mkdir -p /opt/xingrin/{results,logs,fingerprints,wordlists,nuclei-repos} chmod -R 777 /opt/xingrin success "数据目录已创建: /opt/xingrin/" DOCKER_DIR="$ROOT_DIR/docker" if [ ! -d "$DOCKER_DIR" ]; then error "未找到 docker 目录，请确认项目结构。" exit 1 fi if [ -f "$DOCKER_DIR/.env.example" ]; then cp "$DOCKER_DIR/.env.example" "$DOCKER_DIR/.env" success "已创建: docker/.env" auto_fill_docker_env_secrets "$DOCKER_DIR/.env" # 写入版本号（锁定安装时的版本） update_env_var "$DOCKER_DIR/.env" "IMAGE_TAG" "$APP_VERSION" success "已锁定版本: IMAGE_TAG=$APP_VERSION" # Git 加速仅用于安装过程，不写入运行时配置 # 运行时用户如需加速，可通过代理或其他方式自行配置 if [ -n "$GIT_MIRROR" ]; then info "Git 加速已启用（仅用于安装阶段）" fi # 开发模式：开启调试日志 if [ "$DEV_MODE" = true ]; then info "开发模式：开启调试配置..." update_env_var "$DOCKER_DIR/.env" "DEBUG" "True" update_env_var "$DOCKER_DIR/.env" "LOG_LEVEL" "INFO" update_env_var "$DOCKER_DIR/.env" "ENABLE_COMMAND_LOGGING" "true" success "已开启: DEBUG=True, LOG_LEVEL=INFO, ENABLE_COMMAND_LOGGING=true" fi # 询问数据库配置 echo "" echo -n -e "${BOLD}${CYAN}[?] 是否使用远程 PostgreSQL 数据库？(y/N) ${RESET}" read -r use_remote_db echo if [[ $use_remote_db =~ ^[Yy]$ ]]; then echo -e "${CYAN} 请输入远程 PostgreSQL 配置：${RESET}" # 服务器地址（必填） echo -n -e " ${CYAN}服务器地址: ${RESET}" read -r db_host if [ -z "$db_host" ]; then error "服务器地址不能为空" exit 1 fi # 端口（可选） echo -n -e " ${CYAN}端口 [5432]: ${RESET}" read -r db_port db_port=${db_port:-5432} # 用户名（必填） echo -n -e " ${CYAN}用户名: ${RESET}" read -r db_user if [ -z "$db_user" ]; then error "用户名不能为空" exit 1 fi # 密码（必填） echo -n -e " ${CYAN}密码: ${RESET}" read -r db_password if [ -z "$db_password" ]; then error "密码不能为空" exit 1 fi # 验证远程 PostgreSQL 连接（使用官方 postgres 镜像中的 psql） echo info "正在验证远程 PostgreSQL 连接..." # 使用 postgres 默认库验证连接（每个 PostgreSQL 都有这个库） if ! docker run --rm \ -e PGPASSWORD="$db_password" \ postgres:15 \ psql "postgresql://$db_user@$db_host:$db_port/postgres" -c 'SELECT 1' >/dev/null 2>&1; then echo error "无法连接到远程 PostgreSQL，请检查 IP/端口/用户名/密码是否正确" echo " 尝试连接: postgresql://$db_user@$db_host:$db_port/postgres" exit 1 fi success "远程 PostgreSQL 连接验证通过" # 尝试创建业务数据库（如果不存在） info "检查并创建数据库..." db_name=$(grep "^DB_NAME=" "$DOCKER_DIR/.env" | cut -d= -f2) db_name=${db_name:-xingrin} prefect_db=$(grep "^PREFECT_DB_NAME=" "$DOCKER_DIR/.env" | cut -d= -f2) prefect_db=${prefect_db:-prefect} docker run --rm -e PGPASSWORD="$db_password" postgres:15 \ psql "postgresql://$db_user@$db_host:$db_port/postgres" \ -c "CREATE DATABASE $db_name;" 2>/dev/null || true docker run --rm -e PGPASSWORD="$db_password" postgres:15 \ psql "postgresql://$db_user@$db_host:$db_port/postgres" \ -c "CREATE DATABASE $prefect_db;" 2>/dev/null || true success "数据库准备完成" # 检测 pg_ivm 扩展 if ! check_pg_ivm "$db_host" "$db_port" "$db_user" "$db_password" "$db_name"; then exit 1 fi sed_inplace "s/^DB_HOST=.*/DB_HOST=$db_host/" "$DOCKER_DIR/.env" sed_inplace "s/^DB_PORT=.*/DB_PORT=$db_port/" "$DOCKER_DIR/.env" sed_inplace "s/^DB_USER=.*/DB_USER=$db_user/" "$DOCKER_DIR/.env" sed_inplace "s/^DB_PASSWORD=.*/DB_PASSWORD=$db_password/" "$DOCKER_DIR/.env" success "已配置远程数据库: $db_user@$db_host:$db_port" else info "使用本地 PostgreSQL 容器" fi # 是否为远程 VPS 部署（需要从其它机器 / Worker 访问本系统） echo "" echo -n -e "${BOLD}${CYAN}[?] 当前是否为远程 VPS 部署？(y/N) ${RESET}" read -r set_public_host echo if [[ $set_public_host =~ ^[Yy]$ ]]; then echo -n -e " ${CYAN}请输入当前远程 vps 的外网 IP 地址（例如 10.1.1.1）: ${RESET}" read -r public_host if [ -z "$public_host" ]; then warn "未输入外网ip地址，将保持 .env 中已有的 PUBLIC_HOST（请确保 Worker 能访问该地址）" else update_env_var "$DOCKER_DIR/.env" "PUBLIC_HOST" "$public_host" success "已配置对外访问地址: $public_host" fi else info "检测为本机 docker 部署，将 PUBLIC_HOST 设置为 server（容器内部访问后端服务名）" update_env_var "$DOCKER_DIR/.env" "PUBLIC_HOST" "server" fi else error "未找到 docker/.env.example" exit 1 fi # 准备 HTTPS 证书（无域名也可使用自签） generate_self_signed_cert # ============================================================================== # 预拉取 Worker 镜像（避免扫描时等待） # ============================================================================== step "预拉取 Worker 镜像..." DOCKER_USER=$(grep "^DOCKER_USER=" "$DOCKER_DIR/.env" 2>/dev/null | cut -d= -f2) DOCKER_USER=${DOCKER_USER:-yyhuni} WORKER_IMAGE="${DOCKER_USER}/xingrin-worker:${APP_VERSION}" # 开发模式下构建本地 worker 镜像 if [ "$DEV_MODE" = true ]; then info "开发模式：构建本地 Worker 镜像..." if docker compose -f "$DOCKER_DIR/docker-compose.dev.yml" build worker; then # 设置 TASK_EXECUTOR_IMAGE 环境变量指向本地构建的镜像（使用版本号-dev标识） update_env_var "$DOCKER_DIR/.env" "TASK_EXECUTOR_IMAGE" "docker-worker:${APP_VERSION}-dev" success "本地 Worker 镜像构建完成: docker-worker:${APP_VERSION}-dev" else error "开发模式下本地 Worker 镜像构建失败！" error "请检查构建错误并修复后重试" exit 1 fi else info "正在拉取: $WORKER_IMAGE" # 镜像加速通过 daemon.json 的 registry-mirrors 实现 PULL_IMAGE="$WORKER_IMAGE" if [ -n "$GIT_MIRROR" ]; then info "已配置 Docker 镜像加速，拉取将自动走加速通道" fi if docker pull "$PULL_IMAGE"; then success "Worker 镜像拉取完成" else error "Worker 镜像拉取失败，无法继续安装" error "镜像地址: $WORKER_IMAGE" echo if [ -z "$GIT_MIRROR" ]; then warn "如果您在中国大陆，建议使用 --mirror 参数启用加速：" echo -e " ${BOLD}sudo ./install.sh --mirror${RESET}" else warn "镜像加速已配置，但拉取仍然失败，可能原因：" echo -e " 1. 镜像源暂时不可用，请稍后重试" echo -e " 2. 网络连接问题" echo -e " 3. 镜像不存在或版本错误" fi echo exit 1 fi fi # ============================================================================== # 预下载 Nuclei 模板仓库（在容器外执行，支持 Git 加速） # ============================================================================== step "预下载 Nuclei 模板仓库..." NUCLEI_TEMPLATES_DIR="/opt/xingrin/nuclei-repos/nuclei-templates" NUCLEI_TEMPLATES_REPO="https://github.com/projectdiscovery/nuclei-templates.git" # 确保目录存在 mkdir -p /opt/xingrin/nuclei-repos if [ -d "$NUCLEI_TEMPLATES_DIR/.git" ]; then info "Nuclei 模板仓库已存在，跳过下载" else # 构建 clone URL（如果启用了 Git 加速） if [ -n "$GIT_MIRROR" ]; then CLONE_URL="${GIT_MIRROR}/${NUCLEI_TEMPLATES_REPO}" info "使用 Git 加速下载: $CLONE_URL" else CLONE_URL="$NUCLEI_TEMPLATES_REPO" fi # 执行 git clone if git clone --depth 1 "$CLONE_URL" "$NUCLEI_TEMPLATES_DIR"; then success "Nuclei 模板仓库下载完成" else warn "Nuclei 模板仓库下载失败，将在服务启动后重试" warn "您也可以稍后在 Web 界面「Nuclei 模板」中手动同步" fi fi # ============================================================================== # 启动服务 # ============================================================================== step "正在启动服务..." "$ROOT_DIR/start.sh" ${START_ARGS} --quiet # ============================================================================== # 完成总结 # ============================================================================== show_summary "success" ================================================ FILE: restart.sh ================================================ #!/bin/bash # 重启服务（Docker 部署） cd "$(dirname "$0")" exec ./docker/restart.sh ================================================ FILE: start.sh ================================================ #!/bin/bash # 启动服务（所有服务均在 Docker 中运行） # # 用法: # ./start.sh 生产模式 - 拉取 Docker Hub 镜像启动 # ./start.sh --dev 开发模式 - 本地构建镜像启动 # ./start.sh --no-frontend 只启动后端（前端手动启动） # ./start.sh --dev --no-frontend 开发模式 + 只启动后端 cd "$(dirname "$0")" exec ./docker/start.sh "$@" ================================================ FILE: stop.sh ================================================ #!/bin/bash # 停止服务（所有服务均在 Docker 中运行） cd "$(dirname "$0")" exec ./docker/stop.sh "$@" ================================================ FILE: uninstall.sh ================================================ #!/bin/bash set -e # ============================================================================== # 颜色定义 # ============================================================================== RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[0;33m' BLUE='\033[0;34m' CYAN='\033[0;36m' BOLD='\033[1m' RESET='\033[0m' # ============================================================================== # 日志函数 # ============================================================================== info() { echo -e "${BLUE}[INFO]${RESET} $1" } success() { echo -e "${GREEN}[OK]${RESET} $1" } warn() { echo -e "${YELLOW}[WARN]${RESET} $1" } error() { echo -e "${RED}[ERROR]${RESET} $1" } step() { echo -e "\n${BOLD}${CYAN}>>> $1${RESET}" } header() { echo -e "${BOLD}${BLUE}============================================================${RESET}" echo -e "${BOLD}${BLUE} $1${RESET}" echo -e "${BOLD}${BLUE}============================================================${RESET}" } # ============================================================================== # 权限检查 # ============================================================================== if [ "$EUID" -ne 0 ]; then error "请使用 sudo 运行此脚本" echo -e " 正确用法: ${BOLD}sudo ./uninstall.sh${RESET}" exit 1 fi ROOT_DIR="$(cd "$(dirname "$0")" && pwd)" DOCKER_DIR="$ROOT_DIR/docker" header "XingRin 一键卸载脚本 (Ubuntu)" info "项目路径: ${BOLD}$ROOT_DIR${RESET}" if [ ! -d "$DOCKER_DIR" ]; then error "未找到 docker 目录，请确认项目结构。" exit 1 fi # ============================================================================== # 1. 停止并删除全部容器/网络 # ============================================================================== step "[1/5] 是否停止并删除全部容器/网络？(Y/n)" read -r ans_stop ans_stop=${ans_stop:-Y} if [[ $ans_stop =~ ^[Yy]$ ]]; then info "正在停止并删除容器/网络..." cd "$DOCKER_DIR" if command -v docker compose >/dev/null 2>&1; then COMPOSE_CMD="docker compose" else COMPOSE_CMD="docker-compose" fi # 先强制停止并删除可能占用网络的容器（xingrin-agent 等） docker rm -f xingrin-agent xingrin-watchdog 2>/dev/null || true # 清理所有可能的 XingRin 相关容器 docker ps -a | grep -E "(xingrin|docker-)" | awk '{print $1}' | xargs -r docker rm -f 2>/dev/null || true # 停止两种模式的容器（不带 -v，volume 在第 5 步单独处理） [ -f "docker-compose.yml" ] && ${COMPOSE_CMD} -f docker-compose.yml down 2>/dev/null || true [ -f "docker-compose.dev.yml" ] && ${COMPOSE_CMD} -f docker-compose.dev.yml down 2>/dev/null || true # 手动删除网络（以防 compose 未能删除） docker network rm xingrin_network docker_default 2>/dev/null || true success "容器和网络已停止/删除（如存在）。" else warn "已跳过停止/删除容器/网络。" fi # ============================================================================== # 2. 删除 /opt/xingrin 数据目录 # ============================================================================== OPT_XINGRIN_DIR="/opt/xingrin" step "[2/5] 是否删除数据目录 ($OPT_XINGRIN_DIR)？(Y/n)" echo -e " ${YELLOW}包含：扫描结果、日志、指纹库、字典、Nuclei 模板等${RESET}" read -r ans_data ans_data=${ans_data:-Y} if [[ $ans_data =~ ^[Yy]$ ]]; then info "正在删除数据目录..." rm -rf "$OPT_XINGRIN_DIR" success "已删除 $OPT_XINGRIN_DIR" else warn "已保留数据目录。" fi # ============================================================================== # 3. 删除 docker/.env 配置文件 # ============================================================================== ENV_FILE="$DOCKER_DIR/.env" step "[3/5] 是否删除配置文件 ($ENV_FILE)？(Y/n)" echo -e " ${YELLOW}注意：删除后下次安装将生成新的随机密码。${RESET}" read -r ans_env ans_env=${ans_env:-Y} if [[ $ans_env =~ ^[Yy]$ ]]; then info "正在删除配置文件..." rm -f "$ENV_FILE" success "已删除 $ENV_FILE。" else warn "已保留 $ENV_FILE。" fi # ============================================================================== # 4. 删除本地 Postgres 容器及数据卷（如果使用本地 DB） # ============================================================================== step "[4/5] 若使用本地 PostgreSQL 容器：是否删除数据库容器和 volume？(Y/n)" read -r ans_db ans_db=${ans_db:-Y} if [[ $ans_db =~ ^[Yy]$ ]]; then info "尝试删除与 XingRin 相关的 Postgres 容器和数据卷..." # 删除可能的容器名（不同 compose 版本命名不同） docker rm -f docker-postgres-1 xingrin-postgres postgres 2>/dev/null || true # 删除可能的 volume 名（取决于项目名和 compose 配置） # 先列出要删除的 volume for vol in postgres_data docker_postgres_data xingrin_postgres_data; do if docker volume inspect "$vol" >/dev/null 2>&1; then if docker volume rm "$vol" 2>/dev/null; then success "已删除 volume: $vol" else warn "无法删除 volume: $vol（可能正在被使用，请先停止所有容器）" fi fi done success "本地 Postgres 数据卷清理完成。" else warn "已保留本地 Postgres 容器和 volume。" fi step "[5/5] 是否删除与 XingRin 相关的 Docker 镜像？(Y/n)" read -r ans_images ans_images=${ans_images:-Y} if [[ $ans_images =~ ^[Yy]$ ]]; then info "正在删除 Docker 镜像..." # 从 .env 读取版本号，如果不存在则使用 latest if [ -f "$DOCKER_DIR/.env" ]; then DOCKER_USER=$(grep "^DOCKER_USER=" "$DOCKER_DIR/.env" | cut -d= -f2 || echo "yyhuni") IMAGE_TAG=$(grep "^IMAGE_TAG=" "$DOCKER_DIR/.env" | cut -d= -f2 || echo "latest") else DOCKER_USER="yyhuni" IMAGE_TAG="latest" fi # 删除指定版本的镜像 docker rmi "${DOCKER_USER}/xingrin-server:${IMAGE_TAG}" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-frontend:${IMAGE_TAG}" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-nginx:${IMAGE_TAG}" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-agent:${IMAGE_TAG}" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-worker:${IMAGE_TAG}" 2>/dev/null || true # 同时删除 latest 标签（如果存在） if [ "$IMAGE_TAG" != "latest" ]; then docker rmi "${DOCKER_USER}/xingrin-server:latest" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-frontend:latest" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-nginx:latest" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-agent:latest" 2>/dev/null || true docker rmi "${DOCKER_USER}/xingrin-worker:latest" 2>/dev/null || true fi docker rmi redis:7-alpine 2>/dev/null || true # 删除本地构建的开发镜像 docker rmi docker-server docker-frontend docker-nginx docker-agent docker-worker 2>/dev/null || true docker rmi "docker-worker:${IMAGE_TAG}-dev" 2>/dev/null || true success "Docker 镜像已删除（如存在）。" else warn "已保留 Docker 镜像。" fi # 清理构建缓存（可选，会导致下次构建变慢） echo "" echo -n -e "${BOLD}${CYAN}[?] 是否清理 Docker 构建缓存？(y/N) ${RESET}" echo -e "${YELLOW}（清理后下次构建会很慢，一般不需要）${RESET}" read -r ans_cache ans_cache=${ans_cache:-N} if [[ $ans_cache =~ ^[Yy]$ ]]; then info "清理 Docker 构建缓存..." docker builder prune -af 2>/dev/null || true success "构建缓存已清理。" else warn "已保留构建缓存（推荐）。" fi success "卸载流程已完成。" ================================================ FILE: update.sh ================================================ #!/bin/bash # ============================================ # XingRin 系统更新脚本 # 用途：更新代码 + 同步版本 + 重建镜像 + 重启服务 # ============================================ # # 更新流程： # 1. 停止服务 # 2. git pull 拉取最新代码 # 3. 合并 .env 新配置项 + 同步 VERSION # 4. 构建/拉取镜像（开发模式构建，生产模式拉取） # 5. 启动服务（server 启动时自动执行数据库迁移） # # 用法: # sudo ./update.sh 生产模式更新（拉取 Docker Hub 镜像） # sudo ./update.sh --dev 开发模式更新（本地构建镜像） # sudo ./update.sh --no-frontend 更新后只启动后端 # sudo ./update.sh --dev --no-frontend 开发环境更新后只启动后端 cd "$(dirname "$0")" # 权限检查 if [ "$EUID" -ne 0 ]; then printf "\033[0;31m✗ 请使用 sudo 运行此脚本\033[0m\n" printf " 正确用法: \033[1msudo ./update.sh\033[0m\n" exit 1 fi # 跨平台 sed -i（兼容 macOS 和 Linux） sed_inplace() { if [[ "$OSTYPE" == "darwin"* ]]; then sed -i '' "$@" else sed -i "$@" fi } # 解析参数判断模式 DEV_MODE=false for arg in "$@"; do case $arg in --dev) DEV_MODE=true ;; esac done # 颜色定义 GREEN='\033[0;32m' YELLOW='\033[1;33m' RED='\033[0;31m' BLUE='\033[0;34m' CYAN='\033[0;36m' DIM='\033[2m' BOLD='\033[1m' NC='\033[0m' # 日志函数 log_step() { printf "${CYAN}▶${NC} %s\n" "$1"; } log_ok() { printf " ${GREEN}✓${NC} %s\n" "$1"; } log_info() { printf " ${DIM}→${NC} %s\n" "$1"; } log_warn() { printf " ${YELLOW}!${NC} %s\n" "$1"; } log_error() { printf "${RED}✗${NC} %s\n" "$1"; } # 合并 .env 新配置项（保留用户已有值） merge_env_config() { local example_file="docker/.env.example" local env_file="docker/.env" if [ ! -f "$example_file" ] || [ ! -f "$env_file" ]; then return fi local new_keys=0 while IFS= read -r line || [ -n "$line" ]; do [[ -z "$line" || "$line" =~ ^# ]] && continue local key="${line%%=*}" [[ -z "$key" || "$key" == "$line" ]] && continue if ! grep -q "^${key}=" "$env_file"; then printf '%s\n' "$line" >> "$env_file" log_info "新增配置: $key" ((new_keys++)) fi done < "$example_file" if [ $new_keys -gt 0 ]; then log_ok "已添加 $new_keys 个新配置项" else log_ok "配置已是最新" fi } # 显示标题 printf "\n" printf "${BOLD}${BLUE}┌────────────────────────────────────────┐${NC}\n" if [ "$DEV_MODE" = true ]; then printf "${BOLD}${BLUE}│${NC} ${BOLD}XingRin 系统更新${NC} ${BOLD}${BLUE}│${NC}\n" printf "${BOLD}${BLUE}│${NC} ${DIM}开发模式 · 本地构建${NC} ${BOLD}${BLUE}│${NC}\n" else printf "${BOLD}${BLUE}│${NC} ${BOLD}XingRin 系统更新${NC} ${BOLD}${BLUE}│${NC}\n" printf "${BOLD}${BLUE}│${NC} ${DIM}生产模式 · Docker Hub${NC} ${BOLD}${BLUE}│${NC}\n" fi printf "${BOLD}${BLUE}└────────────────────────────────────────┘${NC}\n" printf "\n" # 警告提示 printf "${YELLOW}┌─ 注意事项 ─────────────────────────────┐${NC}\n" printf "${YELLOW}│${NC} • 此功能为测试性功能，可能导致升级失败 ${YELLOW}│${NC}\n" printf "${YELLOW}│${NC} • 升级会覆盖所有默认引擎配置 ${YELLOW}│${NC}\n" printf "${YELLOW}│${NC} • 自定义配置请先备份或创建新引擎 ${YELLOW}│${NC}\n" printf "${YELLOW}│${NC} • 推荐：卸载后重新安装以获得最佳体验 ${YELLOW}│${NC}\n" printf "${YELLOW}└────────────────────────────────────────┘${NC}\n" printf "\n" printf "${YELLOW}是否继续更新？${NC} [y/N] " read -r ans_continue ans_continue=${ans_continue:-N} if [[ ! $ans_continue =~ ^[Yy]$ ]]; then printf "\n${DIM}已取消更新${NC}\n" exit 0 fi printf "\n" # Step 1: 停止服务 log_step "停止服务..." ./stop.sh 2>&1 | sed 's/^/ /' log_ok "服务已停止" # Step 2: 拉取代码 printf "\n" log_step "拉取最新代码..." if git pull --rebase 2>&1 | sed 's/^/ /'; then log_ok "代码已更新" else log_error "git pull 失败，请手动解决冲突后重试" exit 1 fi # Step 3: 检查配置更新 + 版本同步 printf "\n" log_step "同步配置..." merge_env_config # 版本同步：从 VERSION 文件更新 IMAGE_TAG if [ -f "VERSION" ]; then NEW_VERSION=$(cat VERSION | tr -d '[:space:]') if [ -n "$NEW_VERSION" ]; then if grep -q "^IMAGE_TAG=" "docker/.env"; then sed_inplace "s/^IMAGE_TAG=.*/IMAGE_TAG=$NEW_VERSION/" "docker/.env" else printf '%s\n' "IMAGE_TAG=$NEW_VERSION" >> "docker/.env" fi log_ok "版本同步: $NEW_VERSION" fi fi # Step 4: 构建/拉取镜像 printf "\n" log_step "更新镜像..." if [ "$DEV_MODE" = true ]; then # 开发模式：本地构建所有镜像（包括 Worker） log_info "构建 Worker 镜像..." # 读取 IMAGE_TAG IMAGE_TAG=$(grep "^IMAGE_TAG=" "docker/.env" | cut -d'=' -f2) if [ -z "$IMAGE_TAG" ]; then IMAGE_TAG="dev" fi # 构建 Worker 镜像（Worker 是临时容器，不在 compose 中，需要单独构建） docker build -t docker-worker -f docker/worker/Dockerfile . 2>&1 | sed 's/^/ /' docker tag docker-worker docker-worker:${IMAGE_TAG} 2>&1 | sed 's/^/ /' log_ok "Worker 镜像: docker-worker:${IMAGE_TAG}" log_info "其他服务镜像将在启动时构建" else log_info "镜像将在启动时从 Docker Hub 拉取" fi # Step 5: 启动服务 printf "\n" log_step "启动服务..." ./start.sh "$@" # 完成提示 printf "\n" printf "${GREEN}┌────────────────────────────────────────┐${NC}\n" printf "${GREEN}│${NC} ${BOLD}${GREEN}✓${NC} ${BOLD}更新完成${NC} ${GREEN}│${NC}\n" printf "${GREEN}└────────────────────────────────────────┘${NC}\n" printf "\n"