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Repository: qeeqbox/social-analyzer
Branch: main
Commit: 1ba0905e00d0
Files: 39
Total size: 3.2 MB
Directory structure:
gitextract_r4325kb_/
├── .dockerignore
├── .editorconfig
├── .gitattributes
├── .github/
│ └── workflows/
│ └── main.yml
├── .gitignore
├── Dockerfile
├── LICENSE
├── README.md
├── README.rst
├── app.js
├── app.py
├── auto_pip.sh
├── clean-up.logs
├── data/
│ ├── countries.json
│ ├── dict.json
│ ├── languages.json
│ ├── names.json
│ ├── sites.json
│ └── sites.json_new
├── docker-compose.yml
├── info
├── modules/
│ ├── engine.js
│ ├── external-apis.js
│ ├── extraction.js
│ ├── fast-scan.js
│ ├── helper.js
│ ├── name-analysis.js
│ ├── slow-scan.js
│ ├── special-scan.js
│ ├── stats.js
│ ├── string-analysis.js
│ └── visualize.js
├── package.json
├── public/
│ ├── app.html
│ └── graph.html
├── requirements.txt
├── setup.py
└── test/
├── requirements.txt
└── test.sh
================================================
FILE CONTENTS
================================================
================================================
FILE: .dockerignore
================================================
.dockerignore
.git
info
readme/
Dockerfile
================================================
FILE: .editorconfig
================================================
root = true
[*]
indent_style = space
indent_size = 2
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true
curly_bracket_next_line = false
[*.{py}]
indent_size = 4
[*.{js,ts}]
quote_type = single
[*.{markdown,md}]
trim_trailing_whitespace = false
================================================
FILE: .gitattributes
================================================
*.* linguist-language=js
================================================
FILE: .github/workflows/main.yml
================================================
name: publish
on: [push]
jobs:
publish:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: install requirements
run: sudo apt-get install curl
- name: build and run
run: |
curl https://raw.githubusercontent.com/qeeqbox/global-scripts/main/auto-checking.sh > auto-checking.sh
chmod +x auto-checking.sh
./auto-checking.sh social-analyzer
- name: commit changes
if: success()
run: |
git config user.name "qb-auto"
git config user.email "qbactions@gmail.com"
git add -- . :!auto-checking.sh
git commit -m "🤖"
git push
- name: delete auto-checking.sh
if: always()
run: |
[ -e auto-checking.sh ] && rm -- auto-checking.sh
================================================
FILE: .gitignore
================================================
# https://github.com/github/gitignore/blob/master/Node.gitignore
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
*.lcov
# nyc test coverage
.nyc_output
# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# Snowpack dependency directory (https://snowpack.dev/)
web_modules/
# TypeScript cache
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variables file
.env
.env.test
# parcel-bundler cache (https://parceljs.org/)
.cache
.parcel-cache
# Next.js build output
.next
out
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# TernJS port file
.tern-port
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v2
.yarn/cache
.yarn/unplugged
.yarn/build-state.yml
.yarn/install-state.gz
.pnp.*
================================================
FILE: Dockerfile
================================================
FROM node:18.15.0-alpine3.17
WORKDIR /usr/src/app
COPY . .
RUN apk update && \
apk add --no-cache firefox-esr && \
npm ci && \
npm install lodash && \
npm install --loglevel=error
EXPOSE 9005
ENTRYPOINT [ "npm", "start", "--","--docker"]
================================================
FILE: LICENSE
================================================
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How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
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Also add information on how to contact you by electronic and paper mail.
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You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
================================================
FILE: README.md
================================================
<p align="center"> <img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/socialanalyzerlogo_.png"></p>
Social Analyzer - API, CLI, and Web App for analyzing & finding a person's profile across +1000 social media \ websites. It includes different analysis and detection modules, and you can choose which modules to use during the investigation process.
The detection modules utilize a rating mechanism based on different detection techniques, which produces a rate value that starts from 0 to 100 (No-Maybe-Yes). This module is intended to have fewer false positives.
The analysis and public extracted information from this OSINT tool could help investigate profiles related to suspicious or malicious activities such as cyberbullying, cyber grooming, cyberstalking, and spreading misinformation.
`This project is currently used by some law enforcement agencies in countries where resources are limited - The detection database is different than the one shared here..`
## So·cial Me·di·a
Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary
## Structure
<img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/structure.png">
## APP (Preferred!)
Standard localhost WEB APP url: http://0.0.0.0:9005/app.html
<img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/intro_fast.gif" style="max-width:768px"/>
## CLI
<img src="https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/cli.gif" style="max-width:768px"/>
## Features
- String & name analysis (Permutations and Combinations)
- Find a profile using multiple techniques (HTTPS library & Webdriver)
- Multi profile search (Used for correlation - any combination separated with "," )
- Multilayers detections (OCR, normal, advanced & special)
- Visualized profile information using Ixora (Metadata & Patterns)
- Metadata & Patterns extraction (Added from Qeeqbox OSINT project)
- Force-directed Graph for Metadata (Needs ExtractPatterns)
- Search by top ranking or by country (Alexa Ranking)
- Search by type (adult, music, etc.. - automated websites stats)
- Profiles stats and static info (Category country)
- Cross Metadata stats (Added from Qeeqbox OSINT project)
- Auto-flirtation to unnecessary output (Enable javascript etc..)
- Search engine lookup (Google API - optional)
- Custom search queries (Google API & DuckDuckGo API - optional)
- Profile screenshot, title, info, and website description
- Find name origins, name similarity & common words by language
- Find possible profile\person age (Limited analysis)
- Custom user-agent, proxy, timeout & implicit wait
- Python CLI & NodeJS CLI (limited to FindUserProfilesFast option)
- Screenshots of detected profile (The latest version of Chrome must be installed)
- Grid option for faster checking (limited to docker-compose)
- Dump logs to folder or terminal (prettified)
- Adjust finding\getting profile workers (default 15)
- Re-checking option for failed profiles
- Filter profiles by good, maybe, and bad
- Save the analysis as a JSON file
- Simplified web interface and CLI
- And, more!!
## Special Detections
- Facebook (Phone number, name, or profile name)
- Gmail (example@gmail.com)
- Google (example@example.com)
## Install & Run
### Linux (As Node WebApp)
```bash
sudo apt-get update
#Depedning on your Linux distro, you may or may not need these 2 lines
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common
sudo add-apt-repository ppa:mozillateam/ppa -y
sudo apt-get install -y firefox-esr tesseract-ocr git nodejs npm
git clone https://github.com/qeeqbox/social-analyzer.git
cd social-analyzer
npm update
npm install
npm start
```
### Linux (As Node CLI)
```bash
sudo apt-get update
#Depedning on your Linux distro, you may or may not need these 2 lines
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common
sudo add-apt-repository ppa:mozillateam/ppa -y
sudo apt-get install -y firefox-esr tesseract-ocr git nodejs npm
git clone https://github.com/qeeqbox/social-analyzer.git
cd social-analyzer
npm install
nodejs app.js --username "johndoe"
#or
nodejs app.js --username "johndoe,janedoe" --metadata
#or
nodejs app.js --username "johndoe,janedoe" --metadata --top 100
#or
nodejs app.js --username "johndoe" --type "adult"
```
### Linux (As python package)
```bash
sudo apt-get update
sudo apt-get install python3 python3-pip
pip3 install social-analyzer
python3 -m social-analyzer --username "johndoe"
#or
python3 -m social-analyzer --username "johndoe" --metadata
#or
python3 -m social-analyzer --username "johndoe" --metadata --top 100
#or
python3 -m social-analyzer --username "johndoe" --type "adult"
#or
python3 -m social-analyzer --username "johndoe" --websites "car" --logs --screenshots
```
### Linux (As python script)
```bash
sudo apt-get update
sudo apt-get install git python3 python3-pip
git clone https://github.com/qeeqbox/social-analyzer
cd social-analyzer
pip3 install -r requirements.txt
python3 app.py --username "janedoe"
#or
python3 app.py --username "johndoe" --metadata
#or
python3 app.py --username "johndoe" --metadata --top 100
#or
python3 app.py --username "johndoe" --type "adult"
#or
python3 app.py --username "johndoe" --websites "car" --logs --screenshots
```
### Importing as object (python)
```python
#E.g. #1
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe",silent=True)
print(results)
#E.g. #2
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe,janedoe",silent=True,output="json",filter="good",metadata=False,timeout=10, profiles="detected")
print(results)
```
### Linux, Windows, MacOS, Raspberry pi..
- check this [wiki](https://github.com/qeeqbox/social-analyzer/wiki/install) for all possible installation methods
- check this [wiki](https://github.com/qeeqbox/social-analyzer/wiki/integration) for integrating social-analyzer with your OSINT tools, feeds, etc...
## social-analyzer --h
```
Required Arguments:
--username E.g. johndoe, john_doe or johndoe9999
Optional Arguments:
--websites A website or websites separated by space E.g. youtube, tiktokor tumblr
--mode Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial
--output Show the output in the following format: json -> json outputfor integration or pretty -> prettify the output
--options Show the following when a profile is found: link, rate, titleor text
--method find -> show detected profiles, get -> show all profiles regardless detected or not, all -> combine find & get
--filter Filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all
--profiles Filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all
--countries select websites by country or countries separated by space as: us br ru
--type Select websites by type (Adult, Music etc)
--top select top websites as 10, 50 etc...[--websites is not needed]
--extract Extract profiles, urls & patterns if possible
--metadata Extract metadata if possible (pypi QeeqBox OSINT)
--trim Trim long strings
--gui Reserved for a gui (Not implemented)
--cli Reserved for a cli (Not needed)
Listing websites & detections:
--list List all available websites
Setting:
--headers Headers as dict
--logs_dir Change logs directory
--timeout Change timeout between each request
--silent Disable output to screen
```
## Open Shell
[](https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https://github.com/qeeqbox/social-analyzer&tutorial=README.md) [](https://repl.it/github/qeeqbox/social-analyzer)
## Resources
- DuckDuckGo API, Google API, NodeJS, bootstrap, selectize, jQuery, Wikipedia, font-awesome, selenium-webdriver & tesseract.js
- Let me know if I missed a reference or resource!
## Disclaimer\Notes
- Download this project from GitHub and treat it as a security project
- If you want your website to be excluded from this project list, please reach out to me
- This tool is meant to be used locally, not as a service (It does not have any Access Control)
- For issues related to modules that end with -private or under the private group , reach out directly to me (do not open an issue on GitHub)
## Other Projects
[](https://github.com/qeeqbox/analyzer) [](https://github.com/qeeqbox/chameleon) [](https://github.com/qeeqbox/honeypots) [](https://github.com/qeeqbox/osint) [](https://github.com/qeeqbox/url-sandbox) [](https://github.com/qeeqbox/mitre-visualizer) [](https://github.com/qeeqbox/woodpecker) [](https://github.com/qeeqbox/docker-images) [](https://github.com/qeeqbox/seahorse) [](https://github.com/qeeqbox/rhino) [](https://github.com/qeeqbox/raven) [](https://github.com/qeeqbox/image-analyzer)
================================================
FILE: README.rst
================================================
.. image:: https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/socialanalyzerlogo_.png
Social-Analyzer - API, CLI & Web App for analyzing & finding a person's profile across social media websites. It includes different string analysis and detection modules, you can choose which combination of modules to use during the investigation process.
The detection modules utilize a rating mechanism based on different detection techniques, which produces a rate value that starts from 0 to 100 (No-Maybe-Yes). This module intended to have less false positive, and it's documented in this `Wiki <https://github.com/qeeqbox/social-analyzer/wiki>`_ link
The analysis and public extracted information from this OSINT tool could help in investigating profiles related to suspicious or malicious activities such as `cyberbullying <https://en.wikipedia.org/wiki/Wikipedia:Cyberbullying>`_, `cybergrooming <https://de.wikipedia.org/wiki/Cyber-Grooming>`_, `cyberstalking <https://en.wikipedia.org/wiki/Cyberstalking>`_, and `spreading misinformation <https://en.wikipedia.org/wiki/Misinformation>`_.
This project is *"currently used by some law enforcement agencies in countries where resources are limited"*.
`Social Analyzer is in a league of its own and is a very impressive tool that I thoroughly recommend for Digital Investigators and OSINT practitioners` - by `Joseph Jones, Founder of Strategy Nord, Unita Insight and OS2INT <https://os2int.com/toolbox/investigating-usernames-with-social-analyzer>`_.
So·cial Me·di·a
===============
Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary
Security Testing
================
.. code:: bash
------------------------------------- ---------------------------------
| Security Testing | | Social-Analyzer |
------------------------------------- ---------------------------------
| Passive Information Gathering | <--> | Find Social Media Profiles |
| | | |
| Active Information Gathering | <--> | Post Analysis Activities |
------------------------------------- ---------------------------------
Find Profile CLI (Fast)
=======================
.. image:: https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/cli.gif
Features
========
- String & name analysis (Permutations and Combinations)
- Find profile using multiple techniques (HTTPS library & Webdriver)
- Multi layers detections (OCR, normal, advanced & special)
- Visualized profile information using Ixora (Metadata & Patterns)
- Metadata & Patterns extraction (Added from Qeeqbox osint project)
- Force-directed Graph for Metadata (Needs ExtractPatterns)
- Search by top ranking, or by country (Alexa Ranking)
- Profiles stats and static info (Category country)
- Auto-flirtation to unnecessary output
- Search engine lookup (Google API - optional)
- Custom search queries (Google API & DuckDuckGo API - optional)
- Profile screenshot, title, info and website description
- Find name origins, name similarity & common words by language
- Custom user-agent, proxy, timeout & implicit wait
- Python CLI & NodeJS CLI (limited to FindUserProfilesFast option)
- Grid option for faster checking (limited to docker-compose)
- Dump logs to folder or terminal (prettified)
- Adjust finding\getting profile workers (default 15)
- Re-checking option for failed profiles
- Filter profiles by good, maybe, and bad
- Save the analysis as JSON file
- Simplified web interface and CLI
Running Example (Simple)
========================
.. code:: bash
pip3 install social-analyzer
python3 -m social-analyzer --username "johndoe" --metadata --top 100
Running Example (Custom)
========================
.. code:: bash
#install social-analyzer
pip3 install social-analyzer
#specific websites
python3 -m social-analyzer --username "johndoe" --websites "youtube pinterest tumblr"
#specific websites with metadata and extraction
python3 -m social-analyzer --username "johndoe" --websites "youtube pinterest tumblr" --metadata --extract --trim
#all websites with metadata, extraction, filter all profiles with all status
python3 -m social-analyzer --username "johndoe" --websites "all" --metadata --extract --trim --filter "all" --profile "all"
#Screenshot detected profiles
python3 -m social-analyzer --username "johndoe" --websites "cart" --logs --screenshots
Running Example (as object)
===========================
.. code:: bash
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe",silent=True)
print(results)
Running Example (as object with specific websites, metadata and extraction)
===========================================================================
.. code:: bash
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe", websites="youtube pinterest tumblr", metadata=True, extract=True, silent=True)
print(results)
Help (python3 -m social-analyzer --h)
=====================================
.. code:: bash
Required Arguments:
--username E.g. johndoe, john_doe or johndoe9999
Optional Arguments:
--websites A website or websites separated by space E.g. youtube, tiktokor tumblr
--mode Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial
--output Show the output in the following format: json -> json outputfor integration or pretty -> prettify the output
--options Show the following when a profile is found: link, rate, titleor text
--method find -> show detected profiles, get -> show all profiles regardless detected or not, all -> combine find & get
--filter Filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all
--profiles Filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all
--countries select websites by country or countries separated by space as: us br ru
--top select top websites as 10, 50 etc...[--websites is not needed]
--extract Extract profiles, urls & patterns if possible
--metadata Extract metadata if possible (pypi QeeqBox OSINT)
--trim Trim long strings
--gui Reserved for a gui (Not implemented)
--cli Reserved for a cli (Not needed)
Listing websites & detections:
--list List all available websites
Setting:
--headers Headers as dict
--logs_dir Change logs directory
--timeout Change timeout between each request
--silent Disable output to screen
Open in Cloud Shell
===================
.. image:: https://img.shields.io/static/v1?label=%3E_&message=Open%20in%20Cloud%20Shell&color=3267d6&style=flat-square
:target: https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https://github.com/qeeqbox/social-analyzer&tutorial=README.md
Special Detections
==================
- Facebook (Phone number, name or profile name)
- Gmail (example@gmail.com)
- Google (example@example.com)
Running Issues
==============
- Remember that existing profiles show `status:good` or `rate:%100`
- Some websites return `blocked` or `invalid` <- this is the intended behavior
- Use Proxy, VPN, TOR or anything similar for periodic suspicious-profiles checking
- Do not mix FindUserProfilesFast, with FindUserProfilesSlow and ShowUserProfilesSlow
- Change the user-agent to most updated one or increase the random time between requests
- Use the slow mode (Not available in the CLIs) to avoid running into blocking\results issue
Resources
=========
- DuckDuckGo API, Google API, NodeJS, bootstrap, selectize, jQuery, Wikipedia, font-awesome, selenium-webdriver & tesseract.js
- Let me know if I missed a reference or resource!
Disclaimer\Notes
================
- Make sure to download this tool from GitHub
- This is a security project (Treat it as a security project)
- If you want your website to be excluded from this project list, please reach out to me
- This tool meant to be used locally not as a service (It does not have any type of Access Control)
- For issues related to modules that end with -private or under the private group, reach out directly to me (do not open an issue on GitHub)
Interviews
==========
- `Console 37 <https://console.substack.com/p/console-37>`_
Some News\Articles
==================
- `5 Open-Source Intelligence (OSINT) GitHub Repositories For Every Security Analyst (Cyber Security) <https://twitter.com/GithubProjects/status/1395205169617547266>`_
- You can use social-analyzer in the `BlackArch <https://blackarch.org/>`_ penetration testing distribution by installing `blackarch-social <https://blackarch.org/social.html>`_
Articles
========
`kitploit professionalhackers secnhack meethackers raidforums redpacketsecurity hacking reviews hacking land securityonline skynettools luca-mercatanti pentesttools anonymousmedia ddosi tenochtitlan-sec modernnetsec haktechs haxf4rall hacker-gadgets mrhacker sector035 hackernews`
Other projects
==============
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//chameleon.png
:target: https://github.com/qeeqbox/chameleon
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//honeypots.png
:target: https://github.com/qeeqbox/honeypots
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//analyzer.png
:target: https://github.com/qeeqbox/analyzer
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//osint.png
:target: https://github.com/qeeqbox/osint
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//url-sandbox.png
:target: https://github.com/qeeqbox/url-sandbox
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//mitre-visualizer.png
:target: https://github.com/qeeqbox/mitre-visualizer
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//woodpecker.png
:target: https://github.com/qeeqbox/woodpecker
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//docker-images.png
:target: https://github.com/qeeqbox/docker-images
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//seahorse.png
:target: https://github.com/qeeqbox/seahorse
.. image:: https://raw.githubusercontent.com/qeeqbox/.github/main/data//rhino.png
:target: https://github.com/qeeqbox/rhino
================================================
FILE: app.js
================================================
// -------------------------------------------------------------
// author Giga
// project qeeqbox/social-analyzer
// email gigaqeeq@gmail.com
// description app.py (CLI)
// licensee AGPL-3.0
// -------------------------------------------------------------
// contributors list qeeqbox/social-analyzer/graphs/contributors
// -------------------------------------------------------------
import yargs from 'yargs'
import { hideBin } from 'yargs/helpers'
const yarg_ = yargs(hideBin(process.argv))
const argv = yarg_.usage('Usage: $0 --username "johndoe" --websites "youtube tiktok"\nUsage: $0 "fast" --username "johndoe"')
.describe('gui', 'Reserved for a gui')
.default('gui', false)
.boolean('gui')
.describe('cli', 'Reserved for a cli (Not needed)')
.default('cli', false)
.boolean('cli')
.describe('username', 'E.g. johndoe, john_doe or johndoe9999')
.default('username', '')
.describe('websites', 'A website or websites separated by space E.g. youtube, tiktok or tumblr')
.default('websites', 'all')
.describe('mode', 'Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial')
.default('mode', 'fast')
.describe('output', 'Show the output in the following format: json -> json output for integration or pretty -> prettify the output')
.default('output', 'pretty')
.describe('options', 'Show the following when a profile is found: link, rate, title or text')
.default('options', '')
.describe('list', 'List all available websites')
.default('list', false)
.boolean('list')
.describe('docker', 'allow docker')
.default('docker', false)
.boolean('docker')
.describe('method', 'find -> show detected profiles, get -> show all profiles regardless detected or not, all -> combine find & get')
.default('method', 'all')
.describe('grid', 'grid option, not for CLI')
.default('grid', '')
.describe('extract', 'Extract profiles, urls & patterns if possible')
.default('extract', false)
.boolean('extract')
.describe('metadata', 'Extract metadata if possible (pypi QeeqBox OSINT)')
.default('metadata', false)
.boolean('metadata')
.describe('trim', 'Trim long strings')
.default('trim', false)
.boolean('trim')
.describe('filter', 'filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all')
.default('filter', 'good')
.describe('profiles', 'filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all')
.default('profiles', 'detected')
.describe('top', 'select top websites as 10, 50 etc...[--websites is not needed]')
.default('top', '0')
.describe('type', 'Select websites by type (Adult, Music etc)')
.default('type', 'all')
.describe('countries', 'select websites by country or countries separated by space as: us br ru')
.default('countries', 'all')
.help('help')
.argv
if (argv.output !== 'json') {
console.log('[init] Detections are updated very often, make sure to get the most up-to-date ones')
}
import semver from 'semver'
if (semver.satisfies(process.version, '>13 || <13')) {
if (argv.output !== 'json') {
console.log('[init] NodeJS Version Check')
}
} else {
if (argv.output !== 'json') {
console.log('[Error] NodeJS Version Check')
}
process.exit(1)
}
import express from 'express'
import fs from 'fs'
import tokenizer from 'wink-tokenizer'
import generatorics from 'generatorics'
import HttpsProxyAgent from 'https-proxy-agent'
import PrettyError from 'pretty-error'
const pe = new PrettyError()
import 'express-async-errors'
//const _tokenizer = tokenizer()
if (!fs.existsSync('logs')) {
fs.mkdirSync('logs')
}
import helper from './modules/helper.js'
import fastScan from './modules/fast-scan.js'
import slowScan from './modules/slow-scan.js'
import specialScan from './modules/special-scan.js'
import externalApis from './modules/external-apis.js'
import stringAnalysis from './modules/string-analysis.js'
import nameAnalysis from './modules/name-analysis.js'
import visualize from './modules/visualize.js'
import stats from './modules/stats.js'
const app = express()
app.set('etag', false)
app.use(express.urlencoded({
extended: true
}))
app.use(express.json())
app.use(express.static('public'))
app.post('/get_logs', async function (req, res, next) {
let last_line = 'nothinghere'
if (req.body.uuid !== '') {
const temp_log_file = helper.get_log_file(req.body.uuid)
if (fs.existsSync(temp_log_file)) {
const data = fs.readFileSync(temp_log_file).toString()
if (typeof data !== 'undefined' && data) {
last_line = data.split('\n').slice(-2)[0]
}
} else {
last_line = 'nothing_here_error'
}
res.send(last_line)
}
})
app.get('/get_settings', async function (req, res, next) {
let temp_list = await Promise.all(helper.websites_entries.map(async (site, index) => {
let temp_url = ''
if ('status' in site) {
if (site.status === 'bad') {
return Promise.resolve()
}
}
if (site.detections.length > 0) {
temp_url = helper.get_site_from_url(site.url)
if (temp_url !== 'nothinghere') {
let temp_selected = 'false'
if ('selected' in site) {
if (site.selected === 'true') {
temp_selected = 'true'
}
}
return Promise.resolve({
index: index,
url: temp_url,
selected: temp_selected,
global_rank: site.global_rank
})
}
}
return Promise.resolve()
}))
temp_list = temp_list.filter(item => item !== undefined)
temp_list.sort(function (a, b) {
const keyA = a.url
const keyB = b.url
// Compare the 2 dates
if (keyA < keyB) return -1
if (keyA > keyB) return 1
return 0
})
res.json({
proxy: helper.proxy,
user_agent: helper.header_options.headers['User-Agent'],
google: [helper.google_api_key.substring(0, 10) + '******', helper.google_api_cs.substring(0, 10) + '******'],
websites: temp_list
})
})
app.post('/save_settings', async function (req, res, next) {
await helper.websites_entries.forEach(function (value, i) {
helper.websites_entries[i].selected = 'false'
})
if ('websites' in req.body) {
if (req.body.websites.length > 0) {
await req.body.websites.split(',').forEach(item => {
helper.websites_entries[Number(item)].selected = 'true'
})
}
}
if (req.body.google_key !== helper.google_api_key.substring(0, 10) + '******') {
helper.google_api_key = req.body.google_key
}
if (req.body.google_cv !== helper.google_api_cs.substring(0, 10) + '******') {
helper.google_api_cs = req.body.google_cv
}
if (req.body.user_agent !== helper.header_options.headers['User-Agent']) {
helper.header_options.headers['User-Agent'] = req.body.user_agent
}
if (req.body.proxy !== helper.proxy) {
helper.proxy = req.body.proxy
}
if (helper.proxy !== '') {
helper.header_options.agent = HttpsProxyAgent(helper.proxy)
} else {
if ('agent' in helper.header_options) {
delete helper.header_options.agent
}
}
res.json('Done')
})
app.get('/generate', async function (req, res, next) {
const list_of_combinations = []
if (req.body.option === 'Generate') {
if (req.body.words !== undefined && req.body.words.length > 1 && req.body.words.length < 8) {
for (const perm of generatorics.permutationCombination(req.body.words)) {
if (perm.join('') !== '') {
list_of_combinations.push(perm.join(''))
}
}
}
}
res.json({
combinations: list_of_combinations
})
})
app.post('/cancel', async function (req, res, next) {
if (req.body.option === 'on' && req.body.uuid !== '') {
const temp_uuid = req.body.uuid.replace(/[^a-zA-Z0-9\-]+/g, '')
if (!helper.global_lock.includes(temp_uuid)) {
helper.log_to_file_queue(req.body.uuid, '[Canceling] task: ' + req.body.uuid)
helper.global_lock.push(temp_uuid)
}
}
res.json('Done')
})
app.post('/analyze_string', async function (req, res, next) {
let username = ''
let temp_uuid = ''
const info = {
items: [],
original: '',
corrected: '',
total: 0,
checking: 'Using ' + req.body.string + ' with no lookups'
}
const user_info_normal = {
data: [],
type: 'all'
}
const user_info_advanced = {
data: [],
type: 'all'
}
const user_info_special = {
data: [],
type: 'all'
}
const all_words = {
prefix: [],
name: [],
number: [],
symbol: [],
unknown: [],
maybe: []
}
let ages = []
let names_origins = []
const words_info = []
const temp_words = []
let custom_search = []
let logs = ''
let fast = false
let graph = {
graph: {
nodes: [],
links: []
}
}
let stats_default = {
categories: {},
countries: {}
}
if (req.body.string === 'test_user_2021_2022_') {
if (fs.existsSync('test.json')) {
res.json(JSON.parse(fs.readFileSync('test.json', 'utf8')))
} else {
res.json('Error')
}
} else if (req.body.string === null || req.body.string === '') {
res.json('Error')
} else {
username = req.body.string
req.body.uuid = req.body.uuid.replace(/[^a-zA-Z0-9\-]+/g, '')
temp_uuid = req.body.uuid
helper.log_to_file_queue(req.body.uuid, '[Setting] Log file name: ' + req.body.uuid)
if (req.body.string.includes(',')) {
req.body.group = true
helper.log_to_file_queue(req.body.uuid, '[Setting] Multiple usernames: ' + req.body.string)
} else {
req.body.group = false
helper.log_to_file_queue(req.body.uuid, '[Setting] Username: ' + req.body.string)
}
if (req.body.option.includes('FindUserProfilesFast') || req.body.option.includes('GetUserProfilesFast')) {
fast = true
helper.log_to_file_queue(req.body.uuid, '[Starting] Checking user profiles normal')
if (req.body.group) {
const old_string_1 = req.body.string
const all_usernames = req.body.string.split(',').map(async item => {
req.body.string = item
let temp_arr = await fastScan.find_username_normal(req)
user_info_normal.data.push(...temp_arr)
})
await Promise.all(all_usernames)
req.body.string = old_string_1
} else {
user_info_normal.data = await fastScan.find_username_normal(req)
}
helper.log_to_file_queue(req.body.uuid, '[Done] Checking user profiles normal')
if (req.body.option.includes('CategoriesStats') || req.body.option.includes('MetadataStats')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Generate stats')
stats_default = await stats.get_stats(req,user_info_normal.data)
helper.log_to_file_queue(req.body.uuid, '[Done] Generate stats')
}
}
if (req.body.option.includes('FindUserProfilesSpecial')) {
if (!fast) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Checking user profiles special')
user_info_special.data = await specialScan.find_username_special(req)
helper.log_to_file_queue(req.body.uuid, '[Done] Checking user profiles special')
} else {
helper.log_to_file_queue(req.body.uuid, '[Warning] FindUserProfilesFast with FindUserProfilesSpecial')
helper.log_to_file_queue(req.body.uuid, '[Skipping] FindUserProfilesSpecial')
}
}
if (req.body.option.includes('FindUserProfilesSlow') && fast) {
helper.log_to_file_queue(req.body.uuid, '[Warning] FindUserProfilesFast with FindUserProfilesSlow')
helper.log_to_file_queue(req.body.uuid, '[Skipping] FindUserProfilesSlow')
}
if (req.body.option.includes('ShowUserProfilesSlow') && fast) {
helper.log_to_file_queue(req.body.uuid, '[Warning] FindUserProfilesFast with ShowUserProfilesSlow')
helper.log_to_file_queue(req.body.uuid, '[Skipping] ShowUserProfilesSlow')
}
if ((req.body.option.includes('FindUserProfilesSlow') && !fast) || (req.body.option.includes('ShowUserProfilesSlow') && !fast)) {
if (!req.body.option.includes('FindUserProfilesSlow')) {
user_info_advanced.type = 'show'
} else if (!req.body.option.includes('ShowUserProfilesSlow')) {
user_info_advanced.type = 'noshow'
}
helper.log_to_file_queue(req.body.uuid, '[Starting] Checking user profiles advanced')
if (req.body.group) {
const old_string_2 = req.body.string
const all_usernames = req.body.string.split(',').map(async item => {
req.body.string = item
const temp_arr = await slowScan.find_username_advanced(req)
user_info_advanced.data.push(...temp_arr)
})
await Promise.all(all_usernames)
req.body.string = old_string_2
} else {
user_info_advanced.data = await slowScan.find_username_advanced(req)
}
helper.log_to_file_queue(req.body.uuid, '[Done] Checking user profiles advanced')
}
if (!req.body.group) {
if (req.body.option.includes('LookUps')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Lookup')
await externalApis.check_engines(req, info)
helper.log_to_file_queue(req.body.uuid, '[Done] Lookup')
}
if (req.body.option.includes('CustomSearch')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Custom Search')
custom_search = await externalApis.custom_search_ouputs(req)
helper.log_to_file_queue(req.body.uuid, '[Done] Custom Search')
}
if (req.body.option.includes("FindOrigins")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Finding Origins")
names_origins = await nameAnalysis.find_origins(req);
helper.log_to_file_queue(req.body.uuid, "[Done] Finding Origins")
}
} else {
if (req.body.option.includes('FindOrigins')) {
const old_string_2 = req.body.string
const all_usernames = req.body.string.split(',').map(async item => {
helper.log_to_file_queue(req.body.uuid, '[Starting] Finding Origins: ' + item)
req.body.string = item
const temp_arr = await nameAnalysis.find_origins(req)
names_origins.push(...temp_arr)
helper.log_to_file_queue(req.body.uuid, '[Done] Finding Origins: ' + item)
})
await Promise.all(all_usernames)
req.body.string = old_string_2
}
await stringAnalysis.split_comma(req, all_words)
}
if (req.body.option.includes('SplitWordsByUpperCase')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Split by UpperCase')
await stringAnalysis.split_upper_case(req, all_words)
helper.log_to_file_queue(req.body.uuid, '[Done] Split by UpperCase')
}
if (req.body.option.includes('SplitWordsByAlphabet')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Split by Alphabet')
await stringAnalysis.split_alphabet_case(req, all_words)
helper.log_to_file_queue(req.body.uuid, '[Done] Split by Alphabet')
}
if (req.body.option.includes('FindSymbols')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Finding Symbols')
await stringAnalysis.find_symbols(req, all_words)
helper.log_to_file_queue(req.body.uuid, '[Done] Finding Symbols')
}
if (req.body.option.includes('FindNumbers')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Finding Numbers')
await stringAnalysis.find_numbers(req, all_words)
helper.log_to_file_queue(req.body.uuid, '[Done] Finding Numbers')
}
if (req.body.option.includes('FindAges')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Finding Ages')
ages = await stringAnalysis.guess_age_from_string(req)
helper.log_to_file_queue(req.body.uuid, '[Done] Finding Ages')
}
req.body.string = req.body.string.toLowerCase()
if (req.body.option.includes('ConvertNumbers')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Convert Numbers')
await stringAnalysis.convert_numbers(req, all_words)
helper.log_to_file_queue(req.body.uuid, '[Done] Convert Numbers')
}
if (req.body.option.includes('LookUps') ||
req.body.option.includes('WordInfo') ||
req.body.option.includes('MostCommon') ||
req.body.option.includes('SplitWordsByUpperCase') ||
req.body.option.includes('SplitWordsByAlphabet') ||
req.body.option.includes('FindSymbols') ||
req.body.option.includes('FindNumbers') ||
req.body.option.includes('ConvertNumbers')) {
await stringAnalysis.get_maybe_words(req, all_words)
await stringAnalysis.analyze_string(req, all_words)
Object.keys(all_words).forEach((key) => (all_words[key].length === 0) && delete all_words[key])
if (req.body.option.includes('MostCommon')) {
await stringAnalysis.most_common(all_words, temp_words)
}
if (req.body.option.includes('WordInfo')) {
await externalApis.get_words_info(all_words, words_info)
}
} else if (req.body.option.includes('NormalAnalysis@@')) {
/*
// var maybe_words = WordsNinja.splitSentence(req.body.string);
all_words.maybe = maybe_words.filter(function (elem, index, self) {
return index === self.indexOf(elem)
})
list_of_tokens = _tokenizer.tokenize(req.body.string)
list_of_tokens.forEach(function (item, index) {
if (item.tag in all_words) {
all_words[item.tag].push(item.token)
} else {
all_words[item.tag] = []
all_words[item.tag].push(item.token)
}
})
Object.keys(all_words).forEach((key) => (all_words[key].length === 0) && delete all_words[key])
*/
}
if (req.body.option.includes('NetworkGraph')) {
if ('data' in user_info_normal) {
if (user_info_normal.data.length > 0) {
if (req.body.option.includes('ExtractMetadata')) {
helper.log_to_file_queue(req.body.uuid, '[Starting] Network Graph')
graph = await visualize.visualize_force_graph(req, user_info_normal.data, 'fast')
helper.log_to_file_queue(req.body.uuid, '[Done] Network Graph')
} else {
helper.log_to_file_queue(req.body.uuid, '[Warning] NetworkGraph needs ExtractMetadata')
}
}
}
}
try {
logs = fs.readFileSync(helper.get_log_file(req.body.uuid), 'utf8')
} catch {
}
helper.log_to_file_queue(req.body.uuid, '[Finished] Analyzing: ' + req.body.string + ' Task: ' + req.body.uuid)
/*fs.writeFileSync('./test.json', JSON.stringify({
username: username,
uuid: temp_uuid,
info,
ages: ages,
table: all_words,
common: temp_words,
words_info: words_info,
user_info_normal: user_info_normal,
user_info_advanced: user_info_advanced,
user_info_special: user_info_special,
names_origins: names_origins,
custom_search: custom_search,
graph: graph,
stats: stats_default,
logs: logs
}, null, 2) , 'utf-8');*/
res.json({
username: username,
uuid: temp_uuid,
info,
ages: ages,
table: all_words,
common: temp_words,
words_info: words_info,
user_info_normal: user_info_normal,
user_info_advanced: user_info_advanced,
user_info_special: user_info_special,
names_origins: names_origins,
custom_search: custom_search,
graph: graph,
stats: stats_default,
logs: logs
})
}
})
app.use((err, req, res, next) => {
helper.verbose && console.log(' --- Global Error ---')
helper.verbose && console.log(pe.render(err))
res.json('Error')
})
app.use((req, res, next) => {
res.set('Cache-Control', 'no-store')
next()
})
process.on('uncaughtException', function (err) {
helper.verbose && console.log(' --- Uncaught Error ---')
helper.verbose && console.log(pe.render(err))
})
process.on('unhandledRejection', function (err) {
helper.verbose && console.log(' --- Uncaught Rejection ---')
helper.verbose && console.log(pe.render(err))
})
function delete_keys (object, temp_keys) {
temp_keys.forEach((key) => {
try {
delete object[key]
} catch (err) {}
})
return object
}
function clean_up_item (object, temp_keys_str) {
delete object.image
if (temp_keys_str === '') {} else {
Object.keys(object).forEach((key) => {
try {
if (!temp_keys_str.includes(key)) {
delete object[key]
}
} catch (err) {}
})
}
return object
}
function search_and_change (site, _dict) {
if (helper.websites_entries.includes(site)) {
const item = helper.websites_entries.indexOf(site)
if (item !== -1) {
helper.websites_entries[item] = Object.assign({}, helper.websites_entries[item], _dict)
}
}
}
async function check_user_cli (argv) {
let ret = []
const random_string = Math.random().toString(36).substring(2)
let temp_options = 'GetUserProfilesFast,FindUserProfilesFast'
if (argv.method !== '') {
if (argv.method === 'find') {
temp_options = ',FindUserProfilesFast,'
} else if (argv.method === 'get') {
temp_options = ',GetUserProfilesFast,'
}
}
if (argv.extract) {
temp_options += ',ExtractPatterns,'
}
if (argv.metadata) {
temp_options += ',ExtractMetadata,'
}
const req = {
body: {
uuid: random_string,
string: argv.username,
option: temp_options + argv.output
}
}
await helper.websites_entries.forEach(async function (value, i) {
helper.websites_entries[i].selected = 'false'
})
if (argv.websites === 'all') {
if (argv.countries != 'all') {
let list_of_countries = argv.countries.toLowerCase().split(' ')
await helper.websites_entries.forEach(async function (value, i) {
if (helper.websites_entries[i].country.toLowerCase() !== '' && list_of_countries.includes(helper.websites_entries[i].country.toLowerCase())) {
helper.websites_entries[i].selected = 'true'
} else {
helper.websites_entries[i].selected = 'false'
}
})
} else {
await helper.websites_entries.forEach(async function (value, i) {
helper.websites_entries[i].selected = 'true'
})
}
if (argv.type != 'all') {
let websites_entries_filtered = helper.websites_entries.filter((item) => item.selected === 'true')
websites_entries_filtered = websites_entries_filtered.filter((item) => item.type.toLowerCase().includes(argv.type.toLowerCase()))
await websites_entries_filtered.forEach(async function (value, i) {
await search_and_change(websites_entries_filtered[i], {
selected: 'pendding'
})
})
await helper.websites_entries.forEach(async function (value, i) {
if (helper.websites_entries[i].selected === 'pendding') {
helper.websites_entries[i].selected = 'true'
} else {
helper.websites_entries[i].selected = 'false'
}
})
}
if (argv.top != 0) {
let websites_entries_filtered = helper.websites_entries.filter((item) => item.selected === 'true')
websites_entries_filtered = websites_entries_filtered.filter((item) => item.global_rank !== 0)
websites_entries_filtered.sort(function (a, b) {
return a.global_rank - b.global_rank
})
for (let i = 0; i < argv.top; i++) {
await search_and_change(websites_entries_filtered[i], {
selected: 'pendding'
})
}
await helper.websites_entries.forEach(async function (value, i) {
if (helper.websites_entries[i].selected === 'pendding') {
helper.websites_entries[i].selected = 'true'
} else {
helper.websites_entries[i].selected = 'false'
}
})
}
} else {
await helper.websites_entries.forEach(async function (value, i) {
if (argv.websites.length > 0) {
await argv.websites.split(' ').forEach(item => {
if (helper.websites_entries[i].url.toLowerCase().includes(item.toLowerCase())) {
helper.websites_entries[i].selected = 'true'
}
})
}
})
}
if (req.body.string.includes(',')) {
req.body.group = true
helper.log_to_file_queue(req.body.uuid, '[Setting] Multiple usernames: ' + req.body.string)
} else {
req.body.group = false
helper.log_to_file_queue(req.body.uuid, '[Setting] Username: ' + req.body.string)
}
if (req.body.group) {
const old_string_1 = req.body.string
const all_usernames = req.body.string.split(',').map(async item => {
req.body.string = item
let temp_arr = await fastScan.find_username_normal(req)
ret.push(...temp_arr)
})
await Promise.all(all_usernames)
req.body.string = old_string_1
} else {
ret = await fastScan.find_username_normal(req)
}
if (typeof ret === 'undefined' || ret === undefined || ret.length === 0) {
helper.log_to_file_queue(req.body.uuid, 'User does not exist (try FindUserProfilesSlow or FindUserProfilesSpecial)')
} else {
const temp_detected = {
detected: [],
unknown: [],
failed: []
}
await ret.forEach(item => {
if (item.method === 'all') {
if (item.good === 'true') {
item = delete_keys(item, ['method', 'good'])
item = clean_up_item(item, argv.options)
temp_detected.detected.push(item)
} else {
item = delete_keys(item, ['found', 'rate', 'status', 'method', 'good', 'text', 'extracted', 'metadata'])
item = clean_up_item(item, argv.options)
temp_detected.unknown.push(item)
}
} else if (item.method === 'find') {
if (item.good === 'true') {
item = delete_keys(item, ['method', 'good'])
item = clean_up_item(item, argv.options)
temp_detected.detected.push(item)
}
} else if (item.method === 'get') {
item = delete_keys(item, ['found', 'rate', 'status', 'method', 'good', 'text', 'extracted', 'metadata'])
item = clean_up_item(item, argv.options)
temp_detected.unknown.push(item)
} else if (item.method === 'failed') {
item = delete_keys(item, ['found', 'rate', 'status', 'method', 'good', 'text', 'language', 'title', 'type', 'extracted', 'metadata'])
item = clean_up_item(item, argv.options)
temp_detected.failed.push(item)
}
})
if (temp_detected.detected.length === 0) {
delete temp_detected.detected
} else {
if (argv.profiles.includes('all') || argv.profiles.includes('detected')) {
if (argv.filter.includes('all')) {
} else {
temp_detected.detected = temp_detected.detected.filter(item => argv.filter.includes(item.status))
}
if (temp_detected.detected.length === 0) {
delete temp_detected.detected
}
} else {
delete temp_detected.detected
}
}
if (temp_detected.unknown.length === 0) {
delete temp_detected.unknown
} else {
if (argv.profiles.includes('all') || argv.profiles.includes('unknown')) {
} else {
delete temp_detected.unknown
}
}
if (temp_detected.failed.length === 0) {
delete temp_detected.failed
} else {
if (argv.profiles.includes('all') || argv.profiles.includes('failed')) {
} else {
delete temp_detected.failed
}
}
if (argv.output === 'pretty' || argv.output === '') {
if ('detected' in temp_detected) {
helper.log_to_file_queue(req.body.uuid, '[Detected] ' + temp_detected.detected.length + ' Profile[s]')
helper.log_to_file_queue(req.body.uuid, temp_detected.detected, true, argv)
}
if ('unknown' in temp_detected) {
helper.log_to_file_queue(req.body.uuid, '[Unknown] ' + temp_detected.unknown.length + ' Profile[s]')
helper.log_to_file_queue(req.body.uuid, temp_detected.unknown, true, argv)
}
if ('failed' in temp_detected) {
helper.log_to_file_queue(req.body.uuid, '[failed] ' + temp_detected.failed.length + ' Profile[s]')
helper.log_to_file_queue(req.body.uuid, temp_detected.failed, true, argv)
}
}
if (argv.output === 'json') {
console.log(JSON.stringify(temp_detected, null, 2))
}
}
};
async function list_all_websites () {
const temp_arr = []
await helper.websites_entries.forEach(item => {
temp_arr.push(helper.get_site_from_url(item.url))
})
console.log('[Listing] Available websites\n' + temp_arr.join('\n'))
}
let server_host = 'localhost'
const server_port = process.env.PORT || 9005
if (argv.grid !== '') {
helper.grid_url = argv.grid
}
if (argv.docker) {
server_host = '0.0.0.0'
}
if (argv.gui) {
app.listen(server_port, server_host, function () {
// helper.setup_tecert()
console.log('Server started at http://%s:%s/app.html', server_host, server_port)
})
} else {
if (argv.list) {
list_all_websites()
} else if (argv.mode === 'fast') {
if (argv.cli) {
console.log('[Warning] --cli is not needed and will be removed later on')
}
if (argv.username !== '' && argv.websites !== '') {
check_user_cli(argv)
}
}
}
================================================
FILE: app.py
================================================
#!/usr/bin/env python
"""
// -------------------------------------------------------------
// author Giga
// project qeeqbox/social-analyzer
// email gigaqeeq@gmail.com
// description app.py (CLI)
// licensee AGPL-3.0
// -------------------------------------------------------------
// contributors list qeeqbox/social-analyzer/graphs/contributors
// -------------------------------------------------------------
"""
from logging import getLogger, DEBUG, Formatter, Handler, addLevelName, NullHandler
from logging.handlers import RotatingFileHandler
from sys import platform, version_info
from sys import argv as sargv
from os import path, system, makedirs
from time import time, sleep
from argparse import ArgumentParser, SUPPRESS, Namespace
from json import load, dumps, loads
from uuid import uuid4
from collections.abc import Mapping
from functools import wraps
from re import sub as resub
from re import findall, IGNORECASE
from re import compile as recompile
from re import search as research
from contextlib import suppress
from concurrent.futures import ThreadPoolExecutor, as_completed
from random import randint
from tempfile import mkdtemp
from urllib.parse import unquote, urlparse
from urllib3.exceptions import InsecureRequestWarning
from bs4 import BeautifulSoup
from tld import get_fld, get_tld
from requests import get, packages, Session
from termcolor import colored
from langdetect import detect
from warnings import filterwarnings
from galeodes import Galeodes
filterwarnings('ignore', category=RuntimeWarning, module='runpy')
packages.urllib3.disable_warnings(category=InsecureRequestWarning)
filterwarnings("ignore", category=UserWarning, module='bs4')
class SocialAnalyzer():
def __init__(self, silent=False):
self.websites_entries = []
self.shared_detections = []
self.generic_detection = []
self.log = getLogger("social-analyzer")
self.sites_path = path.join(path.dirname(__file__), "data", "sites.json")
self.languages_path = path.join(path.dirname(__file__), "data", "languages.json")
self.strings_pages = recompile('captcha-info|Please enable cookies|Completing the CAPTCHA', IGNORECASE)
self.strings_titles = recompile('not found|blocked|attention required|cloudflare', IGNORECASE)
self.strings_meta = recompile(r'regionsAllowed|width|height|color|rgba\(|charset|viewport|refresh|equiv|robots', IGNORECASE)
self.top_pattern = recompile('^top([0-9]+)$', IGNORECASE)
self.languages_json = None
self.sites_dummy = None
self.workers = 15
self.custom_message = 51
self.timeout = None
self.waf = True
self.logs_dir = ''
self.ret = False
self.headers = {"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:86.0) Gecko/20100101 Firefox/86.0", }
self.silent = silent
self.screenshots = None
self.screenshots_location = None
def delete_keys(self, in_object, keys):
'''
delete specific keys from object
'''
for key in keys:
with suppress(Exception):
del in_object[key]
return in_object
def clean_up_item(self, in_object, keys_str):
'''
delete specific keys from object (user input)
'''
with suppress(Exception):
del in_object["image"]
if keys_str == "" or keys_str is None:
with suppress(Exception):
pass
else:
for key in in_object.copy():
if key not in keys_str:
with suppress(Exception):
del in_object[key]
return in_object
def get_language_by_guessing(self, text):
'''
guess language by text, this needs long text
'''
with suppress(Exception):
lang = detect(text)
if lang and lang != "":
return self.languages_json[lang] + " (Maybe)"
return "unavailable"
def get_language_by_parsing(self, source, encoding):
'''
guess language by parsing the lang tag
'''
with suppress(Exception):
lang = BeautifulSoup(source, "html.parser", from_encoding=encoding).find("html", attrs={"lang": True})["lang"]
if lang and lang != "":
return self.languages_json[lang]
return "unavailable"
def check_errors(self, on_off=None):
'''
wrapper function for debugging
'''
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
if on_off:
try:
return func(*args, **kwargs)
except Exception as err:
pass
# if not self.silent: self.log.info(e)
else:
return func(*args, **kwargs)
return wrapper
return decorator
def setup_logger(self, uuid=None, file=False, argv=None):
'''
setup a logger for logs in the temp folder
'''
class CustomHandler(Handler):
'''
custom stream handler
'''
def __init__(self, argv=None, sa_object=None):
'''
int, user choices needed
'''
Handler.__init__(self)
self.argv = argv
self.sa_object = sa_object
def emit(self, record):
'''
emit, based on user choices
'''
if self.argv.output != "json" and self.sa_object.silent == False:
if isinstance(record.msg, Mapping):
if "custom" in record.msg:
for item in record.msg["custom"]:
with suppress(Exception):
if item == record.msg["custom"][0]:
print("-----------------------")
for key, value in item.items():
if key == "metadata" or key == "extracted":
if (self.argv.metadata and key == "metadata") or (self.argv.extract and key == "extracted"):
with suppress(Exception):
for idx, _item in enumerate(value):
empty_string = key + " " + str(idx)
empty_string = colored(empty_string.ljust(13, ' '), 'blue') + ": "
for _item_key, _item_value in _item.items():
if self.argv.trim and _item_key == "content" and len(_item_value) > 50:
empty_string += "{} : {} ".format(colored(_item_key, 'blue'), colored(_item_value[:50] + "..", 'yellow'))
else:
empty_string += "{} : {} ".format(colored(_item_key, 'blue'), colored(_item_value, 'yellow'))
print("{}".format(empty_string))
else:
print(colored(key.ljust(13, ' '), 'blue'), colored(value, 'yellow'), sep=": ")
print("-----------------------")
else:
print(record.msg)
temp_folder = ''
if argv.logs:
if self.logs_dir != '':
temp_folder = self.logs_dir
else:
temp_folder = mkdtemp()
if file and uuid:
if argv.screenshots:
self.screenshots = True
makedirs(path.join(temp_folder, uuid), exist_ok=True)
self.screenshots_location = path.join(temp_folder, uuid)
fh = RotatingFileHandler(path.join(temp_folder, uuid, 'logs'))
fh.setFormatter(Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s"))
self.log.addHandler(fh)
self.log.setLevel(DEBUG)
if argv.silent:
self.log.addHandler(NullHandler())
else:
self.log.addHandler(CustomHandler(argv, sa_object=self))
if argv.logs and argv.output != "json":
if not self.silent:
self.log.info('[init] Temporary Logs Directory {}'.format(temp_folder))
def init_detections(self, detections):
'''
load websites_entries, shared_detections and generic_detection
'''
temp_list = []
with open(self.sites_path, encoding='utf-8') as file:
for item in load(file)[detections]:
item["selected"] = "false"
temp_list.append(item)
return temp_list
def get_website(self, site):
'''
extract domain from website
'''
temp_value = get_fld(site, fix_protocol=True)
temp_value = temp_value.replace(".{username}", "").replace("{username}.", "")
return temp_value
def search_and_change(self, site, _dict):
with suppress(Exception):
if site in self.websites_entries:
item = self.websites_entries.index(site)
self.websites_entries[item].update(_dict)
def top_websites(self, top_number):
with suppress(Exception):
top_websites = research(self.top_pattern, top_number)
if top_websites:
sites = ([d for d in self.websites_entries if d.get('global_rank') != 0])
sites = sorted(sites, key=lambda x: x['global_rank'])
for site in sites[:int(top_websites.group(1))]:
self.search_and_change(site, {"selected": "true"})
return True
return False
def list_all_websites(self):
'''
list all the available websites' entries
'''
if len(self.websites_entries) > 0:
for site in self.websites_entries:
temp_value = get_fld(site["url"], fix_protocol=True)
temp_value = temp_value.replace(".{username}", "").replace("{username}.", "")
if not self.silent:
self.log.info(temp_value)
def fetch_url(self, site, username, options):
'''
this runs for every website entry
'''
if self.timeout:
sleep(self.timeout)
else:
sleep(randint(1, 99) / 100)
checking_url = None
with suppress(Exception):
checking_url = get_tld(site["url"], as_object=True).parsed_url.netloc
if checking_url is None:
checking_url = get_fld(site["url"])
checking_url = checking_url.replace(".{username}", "").replace("{username}.", "")
if not self.silent:
self.log.info("[Checking] " + checking_url)
source = ""
detection_level = {
"extreme": {
"fast": "normal",
"slow": "normal,advanced,ocr",
"detections": "true",
"count": 1,
"found": 2
},
"high": {
"fast": "normal",
"slow": "normal,advanced,ocr",
"detections": "true,false",
"count": 2,
"found": 1
},
"current": "high"
}
with suppress(Exception):
session = Session()
session.headers.update(self.headers)
response = session.get(site["url"].replace("{username}", username), timeout=5, verify=False)
source = response.text
content = response.content
encoding = response.encoding
answer = dict((k.lower(), v.lower()) for k, v in response.headers.items())
session.close()
temp_profile = {}
temp_detected = {}
detections_count = 0
def check_url(url):
'''
check if url is okay
'''
with suppress(Exception):
result = urlparse(url)
if result.scheme == "http" or result.scheme == "https":
return all([result.scheme, result.netloc])
return False
def merge_dicts(temp_dict):
'''
'''
result = {}
for item in temp_dict:
for key, value in item.items():
if key in result:
result[key] += value
else:
result[key] = value
return result
def detect_logic(detections):
'''
check for detections in website entry
'''
detections_count = 0
temp_detected = []
temp_found = "false"
temp_profile = {
"found": 0,
"image": "",
"link": "",
"rate": "",
"status": "",
"title": "",
"language": "",
"country": "",
"rank": "",
"text": "",
"type": "",
"extracted": "",
"metadata": "",
"good": "",
"method": ""
}
for detection in detections:
temp_found = "false"
if detection["type"] in detection_level[detection_level["current"]]["fast"] and source != "":
detections_count += 1
if detection["string"].replace("{username}", username).lower() in source.lower():
temp_found = "true"
if detection["return"] == temp_found:
temp_profile["found"] += 1
return temp_profile, temp_detected, detections_count
def detect():
'''
main detect logic
'''
temp_profile_all = []
temp_detected_all = []
detections_count_all = 0
for detection in site["detections"]:
detections_ = []
if detection["type"] == "shared":
detections_ = next(item for item in self.shared_detections if item["name"] == detection['name'])
if len(detections_) > 0:
val1, val2, val3 = detect_logic(detections_["detections"])
temp_profile_all.append(val1)
detections_count_all += val3
val1, val2, val3 = detect_logic(site["detections"])
temp_profile_all.append(val1)
detections_count_all += val3
return merge_dicts(temp_profile_all), temp_detected_all, detections_count_all
temp_profile, temp_detected, detections_count = detect()
if temp_profile["found"] >= detection_level[detection_level["current"]]["found"] and detections_count >= detection_level[detection_level["current"]]["count"]:
temp_profile["good"] = "true"
soup = None
with suppress(Exception):
soup = BeautifulSoup(content, "html.parser", from_encoding=encoding)
with suppress(Exception):
temp_text_arr = []
temp_text_list = []
soup = BeautifulSoup(content, "html.parser", from_encoding=encoding)
for item in soup.stripped_strings:
if item not in temp_text_list:
temp_text_list.append(item)
temp_text_arr.append(repr(item).replace("'", ""))
temp_profile["text"] = " ".join(temp_text_arr)
temp_profile["text"] = resub(r"\s\s+", " ", temp_profile["text"])
with suppress(Exception):
temp_profile["language"] = self.get_language_by_parsing(source, encoding)
if temp_profile["language"] == "unavailable":
temp_profile["language"] = self.get_language_by_guessing(temp_profile["text"])
with suppress(Exception):
temp_profile["title"] = BeautifulSoup(source, "html.parser", from_encoding=encoding).title.string
temp_profile["title"] = resub(r"\s\s+", " ", temp_profile["title"])
with suppress(Exception):
temp_matches = []
temp_matches_list = []
if "extract" in site:
for item in site["extract"]:
matches = findall(item["regex"], source)
for match in matches:
if item["type"] == "link":
if check_url(unquote(match)):
parsed = "{}:({})".format(item["type"], unquote(match))
if parsed not in temp_matches:
temp_matches.append(parsed)
temp_matches_list.append({"name": item["type"], "value": unquote(match)})
if len(temp_matches_list) > 0:
temp_profile["extracted"] = temp_matches_list
temp_profile["text"] = temp_profile["text"].replace("\n", "").replace("\t", "").replace("\r", "").strip()
temp_profile["title"] = temp_profile["title"].replace("\n", "").replace("\t", "").replace("\r", "").strip()
if self.waf:
with suppress(Exception):
if 'cf-ray' in answer:
temp_profile["text"] = "filtered"
temp_profile["title"] = "filtered"
elif "server" in answer:
if "cloudflare" in answer["server"]:
temp_profile["text"] = "filtered"
temp_profile["title"] = "filtered"
if research(self.strings_pages, temp_profile["text"]):
temp_profile["text"] = "filtered"
temp_profile["title"] = "filtered"
if research(self.strings_titles, temp_profile["title"]):
temp_profile["text"] = "filtered"
temp_profile["title"] = "filtered"
with suppress(Exception):
if detections_count != 0:
temp_value = round(((temp_profile["found"] / detections_count) * 100), 2)
temp_profile["rate"] = "%" + str(temp_value)
if temp_value >= 100.00:
temp_profile["status"] = "good"
elif temp_value >= 50.00 and temp_value < 100.00:
temp_profile["status"] = "maybe"
else:
temp_profile["status"] = "bad"
# copied from qeeqbox osint (pypi) project (currently in-progress)
with suppress(Exception):
if temp_profile["status"] == "good":
temp_meta_list = []
temp_for_checking = []
soup = BeautifulSoup(content, "lxml", from_encoding=encoding)
for meta in soup.find_all('meta'):
if meta not in temp_for_checking and not research(self.strings_meta, str(meta)):
temp_for_checking.append(meta)
temp_mata_item = {}
add = True
if meta.has_attr("property"):
temp_mata_item.update({"property": meta["property"]})
if meta.has_attr("content"):
if meta["content"].replace("\n", "").replace("\t", "").replace("\r", "").strip() != "":
temp_mata_item.update({"content": meta["content"].replace("\n", "").replace("\t", "").replace("\r", "").strip()})
if meta.has_attr("itemprop"):
temp_mata_item.update({"itemprop": meta["itemprop"]})
if meta.has_attr("name"):
temp_mata_item.update({"name": meta["name"]})
with suppress(Exception):
if "property" in temp_mata_item:
for i, item in enumerate(temp_meta_list.copy()):
if "property" in item:
if temp_mata_item["property"] == item["property"]:
temp_meta_list[i]["content"] += ", " + temp_mata_item["content"]
add = False
elif "name" in temp_mata_item:
for i, item in enumerate(temp_meta_list.copy()):
if "name" in item:
if temp_mata_item["name"] == item["name"]:
temp_meta_list[i]["content"] += ", " + temp_mata_item["content"]
add = False
elif "itemprop" in temp_mata_item:
for i, item in enumerate(temp_meta_list.copy()):
if "itemprop" in item:
if temp_mata_item["itemprop"] == item["itemprop"]:
temp_meta_list[i]["content"] += ", " + temp_mata_item["content"]
add = False
if len(temp_mata_item) > 0 and add:
temp_meta_list.append(temp_mata_item)
if len(temp_meta_list) > 0:
temp_profile["metadata"] = temp_meta_list
temp_profile["link"] = site["url"].replace("{username}", username)
temp_profile["type"] = site["type"]
temp_profile["country"] = site["country"]
temp_profile["rank"] = site["global_rank"]
if temp_profile["rank"] == 0:
temp_profile["rank"] = "unavailable"
for _item in ["title", "language", "text", "type", "metadata", "extracted", "country"]:
with suppress(Exception):
if temp_profile[_item] == "":
temp_profile[_item] = "unavailable"
if "FindUserProfilesFast" in options and "GetUserProfilesFast" not in options:
temp_profile["method"] = "find"
elif "GetUserProfilesFast" in options and "FindUserProfilesFast" not in options:
temp_profile["method"] = "get"
elif "FindUserProfilesFast" in options and "GetUserProfilesFast" in options:
temp_profile["method"] = "all"
copy_temp_profile = temp_profile.copy()
return 1, site["url"], copy_temp_profile
return None, site["url"], []
def find_username_normal(self, req):
'''
main find usernames logic using ThreadPoolExecutor
'''
resutls = []
for i in range(3):
self.websites_entries[:] = [d for d in self.websites_entries if d.get('selected') == "true"]
if len(self.websites_entries) > 0:
if len(req["body"]["string"].split(',')) > 1:
if not self.silent:
self.log.info("[Info] usernames: {}".format(", ".join(req["body"]["string"].split(','))))
else:
if not self.silent:
self.log.info("[Info] username: {}".format(req["body"]["string"]))
with ThreadPoolExecutor(max_workers=self.workers) as executor:
future_fetch_url = []
for site in self.websites_entries:
for username in req["body"]["string"].split(','):
future_fetch_url.append(executor.submit(self.fetch_url, site, username, req["body"]["options"]))
for future in as_completed(future_fetch_url):
with suppress(Exception):
good, site, data = future.result()
if good:
self.websites_entries[:] = [d for d in self.websites_entries if d.get('url') != site]
resutls.append(data)
else:
if not self.silent:
self.log.info("[Waiting to retry] " + self.get_website(site))
self.websites_entries[:] = [d for d in self.websites_entries if d.get('selected') == "true"]
if len(self.websites_entries) > 0:
for site in self.websites_entries:
temp_profile = {"link": "",
"method": "failed"}
temp_profile["link"] = site["url"].replace("{username}", req["body"]["string"])
resutls.append(temp_profile)
return resutls
def check_user_cli(self, argv):
'''
main cli logic
'''
temp_detected = {"detected": [], "unknown": [], "failed": []}
temp_options = "GetUserProfilesFast,FindUserProfilesFast"
if argv.method != "":
if argv.method == "find":
temp_options = "FindUserProfilesFast"
if argv.method == "get":
temp_options = "GetUserProfilesFast"
req = {"body": {"uuid": str(uuid4()), "string": argv.username, "options": temp_options}}
self.setup_logger(uuid=req["body"]["uuid"], file=True, argv=argv)
self.init_logic()
if argv.cli:
if not self.silent:
self.log.info("[Warning] --cli is not needed and will be removed later on")
for site in self.websites_entries:
site["selected"] = "false"
if argv.websites == "all":
list_of_countries = []
if argv.countries != "all":
list_of_countries = argv.countries.split(" ")
for site in self.websites_entries:
if site["country"] != "" and site["country"].lower() in list_of_countries:
site["selected"] = "true"
else:
site["selected"] = "false"
else:
for site in self.websites_entries:
site["selected"] = "true"
if argv.type != "all":
sites = ([d for d in self.websites_entries if d.get('selected') == "true"])
if "adult" in argv.type.lower():
for site in sites:
if "adult" in site["type"].lower():
self.search_and_change(site, {"selected": "pendding"})
for site in self.websites_entries:
if site["selected"] == "pendding":
site["selected"] = "true"
else:
site["selected"] = "false"
if int(argv.top) != 0:
sites = ([d for d in self.websites_entries if d.get('selected') == "true"])
sites = ([d for d in sites if d.get('global_rank') != 0])
sites = sorted(sites, key=lambda x: x['global_rank'])
for site in sites[:int(argv.top)]:
self.search_and_change(site, {"selected": "pendding"})
for site in self.websites_entries:
if site["selected"] == "pendding":
site["selected"] = "true"
else:
site["selected"] = "false"
else:
for site in self.websites_entries:
for temp in argv.websites.split(" "):
if temp in site["url"]:
site["selected"] = "true"
true_websites = 0
for site in self.websites_entries:
if site["selected"] == "true":
true_websites += 1
if not self.silent:
self.log.info("[Init] Selected websites: {}".format(true_websites))
resutls = self.find_username_normal(req)
if argv.simplify:
argv.filter = "good"
for item in resutls:
if item is not None:
if item["method"] == "all":
if item["good"] == "true":
item = self.delete_keys(item, ["method", "good"])
item = self.clean_up_item(item, argv.options)
temp_detected["detected"].append(item)
else:
item = self.delete_keys(item, ["found", "rate", "status", "method", "good", "text", "extracted", "metadata"])
item = self.clean_up_item(item, argv.options)
temp_detected["unknown"].append(item)
elif item["method"] == "find":
if item["good"] == "true":
item = self.delete_keys(item, ["method", "good"])
item = self.clean_up_item(item, argv.options)
temp_detected["detected"].append(item)
elif item["method"] == "get":
item = self.delete_keys(item, ["found", "rate", "status", "method", "good", "text", "extracted", "metadata"])
item = self.clean_up_item(item, argv.options)
temp_detected["unknown"].append(item)
else:
item = self.delete_keys(item, ["found", "rate", "status", "method", "good", "text", "title", "language", "rate", "extracted", "metadata"])
item = self.clean_up_item(item, argv.options)
temp_detected["failed"].append(item)
with suppress(Exception):
if len(temp_detected["detected"]) == 0:
del temp_detected["detected"]
else:
if "all" in argv.profiles or "detected" in argv.profiles or argv.simplify:
if argv.filter == "all":
pass
else:
if argv.simplify:
temp_list_profiles_simple = []
for item in temp_detected["detected"]:
if float(item['rate'].strip('%')) == 100.0:
temp_list_profiles_simple.append(item)
temp_detected["detected"].clear()
for item in temp_list_profiles_simple:
item = self.clean_up_item(item, ["link"])
temp_detected["detected"].append(item)
else:
temp_detected["detected"] = [item for item in temp_detected["detected"] if item['status'] in argv.filter]
if len(temp_detected["detected"]) > 0:
temp_detected["detected"] = sorted(temp_detected["detected"], key=lambda k: float(k['rate'].strip('%')), reverse=True)
else:
del temp_detected["detected"]
else:
del temp_detected["detected"]
if len(temp_detected["unknown"]) == 0:
del temp_detected["unknown"]
else:
if "all" in argv.profiles or "unknown" in argv.profiles:
pass
else:
del temp_detected["unknown"]
if len(temp_detected["failed"]) == 0:
del temp_detected["failed"]
else:
if "all" in argv.profiles or "failed" in argv.profiles:
pass
else:
del temp_detected["failed"]
if argv.output == "pretty" or argv.output == "":
if 'detected' in temp_detected:
if not self.silent:
self.log.info("[Detected] {} Profile[s]".format(len(temp_detected['detected'])))
if 'unknown' in temp_detected:
if not self.silent:
self.log.info("[unknown] {} Profile[s]".format(len(temp_detected['unknown'])))
if 'failed' in temp_detected:
if not self.silent:
self.log.info("[failed] {} Profile[s]".format(len(temp_detected['failed'])))
if "detected" in temp_detected:
if self.screenshots and self.screenshots_location:
location = None
with suppress(Exception):
if not self.silent:
self.log.info("[Info] Getting screenshots of {} profiles".format(len([item['link'] for item in temp_detected["detected"]])))
with suppress(Exception):
g = Galeodes(browser="chrome", arguments=['--headless', self.headers['User-Agent']], options=None, implicit_wait=5, verbose=False)
results = g.get_pages(urls=[item['link'] for item in temp_detected["detected"]], screenshots=True, number_of_workers=10, format='jpeg', base64=False)
for item in results:
if item['image'] is not None:
with suppress(Exception):
file_name = resub(r'[^\w\d-]', '_', item['url']) + '.jpeg'
with open(path.join(self.screenshots_location, file_name), 'wb') as f:
f.write(item['image'])
location = self.screenshots_location
if location:
if not self.silent:
self.log.info("[Info] Screenshots location {}".format(location))
if argv.simplify:
if 'unknown' in temp_detected:
del temp_detected["unknown"]
if 'failed' in temp_detected:
del temp_detected["failed"]
if argv.output == "pretty" or argv.output == "":
if 'detected' in temp_detected:
if not self.silent:
self.log.info({"custom": temp_detected['detected']})
if 'unknown' in temp_detected:
if not self.silent:
self.log.info({"custom": temp_detected['unknown']})
if 'failed' in temp_detected:
if not self.silent:
self.log.info({"custom": temp_detected['failed']})
if argv.output == "json":
if not self.silent:
print(dumps(temp_detected, sort_keys=True, indent=None))
return temp_detected
def load_file(self, name, path_to_check, url_download):
ret = None
try:
if path.exists(path_to_check) == False:
if not self.silent:
self.log.info("[init] Downloading {} from {}".format(name, url_download))
file = get(url_download, allow_redirects=True)
with open(path_to_check, 'wb') as f:
f.write(file.content)
if path.exists(path_to_check) == True:
if not self.silent:
self.log.info("[init] {} looks good!".format(name))
with open(path_to_check, encoding="utf-8") as f:
ret = load(f)
except Exception as e:
if not self.silent:
self.log.info("[!] {} Does not exist! cannot be downloaded...".format(name))
return ret
def init_logic(self):
if not self.silent:
self.log.info("[init] Detections are updated very often, make sure to get the most up-to-date ones")
if platform == "win32":
system("color")
makedirs(path.join(path.dirname(__file__), "data"), exist_ok=True)
self.languages_json = self.load_file("languages.json", self.languages_path, "https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/data/languages.json")
self.sites_dummy = self.load_file("sites.json", self.sites_path, "https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/data/sites.json")
self.websites_entries = self.init_detections("websites_entries")
self.shared_detections = self.init_detections("shared_detections")
self.generic_detection = self.init_detections("generic_detection")
if self.languages_json is not None and self.sites_dummy is not None:
if not self.silent:
self.log.info("[init] languages.json & sites.json loaded successfully")
else:
if not self.silent:
self.log.info("[init] languages.json & sites.json did not load, exiting..")
exit()
def run_as_object(self, cli=False, gui=False, logs_dir='', logs=False, extract=False, filter='good', headers={}, list=False, metadata=False, method='all', mode='fast', options='', output='pretty', profiles='detected', type='all', ret=False, silent=False, timeout=0, trim=False, username='', websites='all', countries='all', top='0', screenshots=False, simplify=False):
ret = {}
if logs_dir != '':
self.logs_dir = logs_dir
if headers != {}:
self.headers = headers
self.timeout = timeout
self.silent = silent
_l = locals()
del _l['self']
ARGV = Namespace(**_l)
if ARGV.list:
self.setup_logger(argv=ARGV)
self.list_all_websites()
self.init_logic()
elif ARGV.mode == "fast":
if ARGV.username != "" and ARGV.websites != "":
ret = self.check_user_cli(ARGV)
return ret
def run_as_cli(self):
class _ArgumentParser(ArgumentParser):
def error(self, message):
self.exit(2, 'Error: %s\n' % (message))
ret = {}
ARGV = None
ARG_PARSER = _ArgumentParser(description="Qeeqbox/social-analyzer - API and Web App for analyzing & finding a person's profile across 900+ social media websites (Detections are updated regularly)", usage=SUPPRESS)
ARG_PARSER._action_groups.pop()
ARG_PARSER_OPTIONAL = ARG_PARSER.add_argument_group("Arguments")
ARG_PARSER_OPTIONAL.add_argument("--username", help="E.g. johndoe, john_doe or johndoe9999", metavar="", default="")
ARG_PARSER_OPTIONAL.add_argument("--websites", help="A website or websites separated by space E.g. youtube, tiktok or tumblr", metavar="", default="all")
ARG_PARSER_OPTIONAL.add_argument("--mode", help="Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial", metavar="", default="fast")
ARG_PARSER_OPTIONAL.add_argument("--output", help="Show the output in the following format: json -> json output for integration or pretty -> prettify the output", metavar="", default="pretty")
ARG_PARSER_OPTIONAL.add_argument("--options", help="Show the following when a profile is found: link, rate, title or text", metavar="", default="")
ARG_PARSER_OPTIONAL.add_argument("--method", help="find -> show detected profiles, get -> show all profiles regardless detected or not, all -> combine find & get", metavar="", default="all")
ARG_PARSER_OPTIONAL.add_argument("--filter", help="Filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all", metavar="", default="good")
ARG_PARSER_OPTIONAL.add_argument("--profiles", help="Filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all", metavar="", default="detected")
ARG_PARSER_OPTIONAL.add_argument("--countries", help="select websites by country or countries separated by space as: us br ru", metavar="", default="all")
ARG_PARSER_OPTIONAL.add_argument("--type", help="Select websites by type (Adult, Music etc)", metavar="", default="all")
ARG_PARSER_OPTIONAL.add_argument("--top", help="select top websites as 10, 50 etc...[--websites is not needed]", metavar="", default="0")
ARG_PARSER_OPTIONAL.add_argument("--extract", help="Extract profiles, urls & patterns if possible", action="store_true")
ARG_PARSER_OPTIONAL.add_argument("--metadata", help="Extract metadata if possible (pypi QeeqBox OSINT)", action="store_true")
ARG_PARSER_OPTIONAL.add_argument("--trim", help="Trim long strings", action="store_true")
ARG_PARSER_OPTIONAL.add_argument("--gui", help="Reserved for a gui (Not implemented)", action="store_true")
ARG_PARSER_OPTIONAL.add_argument("--cli", help="Reserved for a cli (Not needed)", action="store_true")
ARG_PARSER_OPTIONAL.add_argument("--screenshots", help="Get screenshots from detected profiles (This needs --logs)", action="store_true")
ARG_PARSER_OPTIONAL.add_argument("--simplify", help="Print the detected profiles only (links)", action="store_true")
ARG_PARSER_LIST = ARG_PARSER.add_argument_group("Listing websites & detections")
ARG_PARSER_LIST.add_argument("--list", help="List all available websites", action="store_true")
ARG_PARSER_SETTINGS = ARG_PARSER.add_argument_group("Setting")
ARG_PARSER_SETTINGS.add_argument("--headers", help="Headers as dict", metavar="", default={}, type=loads)
ARG_PARSER_SETTINGS.add_argument("--logs", help="Turn logs on or off", action="store_true")
ARG_PARSER_SETTINGS.add_argument("--logs_dir", help="Change logs directory", metavar="", default="")
ARG_PARSER_SETTINGS.add_argument("--timeout", help="Change timeout between each request", metavar="", type=int, default=0)
ARG_PARSER_SETTINGS.add_argument("--silent", help="Disable output to screen", action="store_true")
ARGV = ARG_PARSER.parse_args()
if ARGV.logs_dir != '':
self.logs_dir = ARGV.logs_dir
if ARGV.headers != {}:
self.headers = ARGV.headers
self.timeout = ARGV.timeout
self.silent = ARGV.silent
if ARGV.list:
self.setup_logger(argv=ARGV)
self.list_all_websites()
self.init_logic()
elif ARGV.mode == "fast":
if ARGV.username != "" and ARGV.websites != "":
ret = self.check_user_cli(ARGV)
return ret
def main_logic():
sa = SocialAnalyzer()
sa.run_as_cli()
if __name__ == "__main__":
main_logic()
================================================
FILE: auto_pip.sh
================================================
#!/bin/bash
echo "Auto pip Package Creator - QeeqBox"
echo "[x] Deleting pip-social-analyzer"
[[ -d pip-social-analyzer ]] && rm -r pip-social-analyzer
echo "[x] Making pip-social-analyzer"
mkdir -p pip-social-analyzer/social-analyzer
echo "[x] Copying app.py, setup.py, README.rst & README.rst"
cp app.py pip-social-analyzer/social-analyzer/__main__.py
cat >>pip-social-analyzer/social-analyzer/__init__.py <<EOL
#!/usr/bin/env python
from .__main__ import main_logic
from .__main__ import SocialAnalyzer
EOL
cat >>pip-social-analyzer/social-analyzer/social-analyzer <<EOL
#!/usr/bin/env python
from importlib import import_module
if __name__ == '__main__':
module = import_module("social-analyzer")
module.main_logic()
EOL
cp setup.py pip-social-analyzer/setup.py
cp README.rst pip-social-analyzer/README.rst
echo "[x] Copying data folder"
cp -r data pip-social-analyzer/social-analyzer/
cd pip-social-analyzer/
echo "[x] Checking setup.py"
python3 setup.py check -r -s
echo "[x] Creating pypi Package"
python3 setup.py sdist bdist_wheel 2>stderr.log 1>stdout.log
if grep -q "error:" stderr.log
then
echo "[x] Creating pypi failed.."
cat stderr.log
else
echo "[x] pypi Package was created successfully"
read -p "Do you want to upload? (y/n)?" USER_INPUT
if [ "$USER_INPUT" = "y" ]; then
echo "[x] Uploading pypi Package"
twine upload dist/*
fi
fi
echo "[x] Cleaning.."
[[ -d pip-social-analyzer ]] && rm -r pip-social-analyzer
echo "[x] Done"
================================================
FILE: clean-up.logs
================================================
Mon Jan 12 21:50:20 UTC 2026
[X] social-analyzer
[X] installing autopep8 & jq
[X] running autopep8
[X] sorting websites
[X] done
================================================
FILE: data/countries.json
================================================
{
"AF": "Afghanistan",
"AL": "Albania",
"DZ": "Algeria",
"AS": "American Samoa",
"AD": "Andorra",
"AO": "Angola",
"AI": "Anguilla",
"AQ": "Antarctica",
"AG": "Antigua and Barbuda",
"AR": "Argentina",
"AM": "Armenia",
"AW": "Aruba",
"AC": "Ascension Island",
"AU": "Australia",
"AT": "Austria",
"AZ": "Azerbaijan",
"BS": "Bahamas",
"BH": "Bahrain",
"BD": "Bangladesh",
"BB": "Barbados",
"BY": "Belarus",
"BE": "Belgium",
"BZ": "Belize",
"BJ": "Benin",
"BM": "Bermuda",
"BT": "Bhutan",
"BO": "Bolivia",
"BA": "Bosnia and Herzegovina",
"BW": "Botswana",
"BR": "Brazil",
"VG": "British Virgin Islands",
"BN": "Brunei",
"BG": "Bulgaria",
"BF": "Burkina Faso",
"MM": "Burma",
"BI": "Burundi",
"KH": "Cambodia",
"CM": "Cameroon",
"CA": "Canada",
"CV": "Cape Verde",
"KY": "Cayman Islands",
"CF": "Central African Republic",
"TD": "Chad",
"CL": "Chile",
"CN": "China",
"CX": "Christmas Island",
"CC": "Cocos Islands",
"CO": "Colombia",
"KM": "Comoros",
"CD": "Congo",
"CK": "Cook Islands",
"CR": "Costa Rica",
"HR": "Croatia",
"CU": "Cuba",
"CY": "Cyprus",
"CZ": "Czech Republic",
"DK": "Denmark",
"DG": "Diego Garcia",
"DJ": "Djibouti",
"DM": "Dominica",
"DO": "Dominican Republic",
"EC": "Ecuador",
"EG": "Egypt",
"SV": "El Salvador",
"GQ": "Equatorial Guinea",
"ER": "Eritrea",
"EE": "Estonia",
"ET": "Ethiopia",
"FK": "Falkland Islands",
"FO": "Faroe Islands",
"FJ": "Fiji",
"FI": "Finland",
"FR": "France",
"GF": "French Guiana",
"PF": "French Polynesia",
"GA": "Gabon",
"GM": "Gambia",
"GE": "Georgia",
"DE": "Germany",
"GH": "Ghana",
"GI": "Gibraltar",
"GR": "Greece",
"GL": "Greenland",
"GD": "Grenada",
"GP": "Guadeloupe",
"GU": "Guam",
"GT": "Guatemala",
"GN": "Guinea",
"GW": "Guinea-Bissau",
"GY": "Guyana",
"HT": "Haiti",
"VA": "Holy See",
"HN": "Honduras",
"HK": "Hong Kong",
"HU": "Hungary",
"IS": "Iceland",
"IN": "India",
"ID": "Indonesia",
"IR": "Iran",
"IQ": "Iraq",
"IE": "Ireland",
"IM": "Isle of Man",
"IL": "Israel",
"IT": "Italy",
"CI": "Ivory Coast",
"JM": "Jamaica",
"JP": "Japan",
"JE": "Jersey",
"JO": "Jordan",
"KZ": "Kazakhstan",
"KE": "Kenya",
"KI": "Kiribati",
"KW": "Kuwait",
"KG": "Kyrgyzstan",
"LA": "Laos",
"LV": "Latvia",
"LB": "Lebanon",
"LS": "Lesotho",
"LR": "Liberia",
"LY": "Libya",
"LI": "Liechtenstein",
"LT": "Lithuania",
"LU": "Luxembourg",
"MO": "Macau",
"MK": "Macedonia",
"MG": "Madagascar",
"MW": "Malawi",
"MY": "Malaysia",
"MV": "Maldives",
"ML": "Mali",
"MT": "Malta",
"MH": "Marshall Islands",
"MQ": "Martinique",
"MR": "Mauritania",
"MU": "Mauritius",
"YT": "Mayotte",
"MX": "Mexico",
"FM": "Micronesia",
"MD": "Moldova",
"MC": "Monaco",
"MN": "Mongolia",
"ME": "Montenegro",
"MS": "Montserrat",
"MA": "Morocco",
"MZ": "Mozambique",
"NA": "Namibia",
"NR": "Nauru",
"NP": "Nepal",
"NL": "Netherlands",
"AN": "Netherlands Antilles",
"NC": "New Caledonia",
"NZ": "New Zealand",
"NI": "Nicaragua",
"NE": "Niger",
"NG": "Nigeria",
"NU": "Niue",
"NF": "Norfolk Island",
"KP": "North Korea",
"MP": "Northern Mariana Islands",
"NO": "Norway",
"OM": "Oman",
"PK": "Pakistan",
"PW": "Palau",
"PS": "Palestine",
"PA": "Panama",
"PG": "Papua New Guinea",
"PY": "Paraguay",
"PE": "Peru",
"PH": "Philippines",
"PN": "Pitcairn Islands",
"PL": "Poland",
"PT": "Portugal",
"PR": "Puerto Rico",
"QA": "Qatar",
"CG": "Republic of the Congo",
"RE": "Reunion Island",
"RO": "Romania",
"RU": "Russia",
"RW": "Rwanda",
"BL": "Saint Barthelemy",
"SH": "Saint Helena",
"KN": "Saint Kitts and Nevis",
"LC": "Saint Lucia",
"MF": "Saint Martin",
"PM": "Saint Pierre and Miquelon",
"VC": "Saint Vincent and the Grenadines",
"WS": "Samoa",
"SM": "San Marino",
"ST": "Sao Tome and Principe",
"SA": "Saudi Arabia",
"SN": "Senegal",
"RS": "Serbia",
"SC": "Seychelles",
"SL": "Sierra Leone",
"SG": "Singapore",
"SX": "Sint Maarten",
"SK": "Slovakia",
"SI": "Slovenia",
"SB": "Solomon Islands",
"SO": "Somalia",
"ZA": "South Africa",
"KR": "South Korea",
"SS": "South Sudan",
"ES": "Spain",
"LK": "Sri Lanka",
"SD": "Sudan",
"SR": "Suriname",
"SJ": "Svalbard",
"SZ": "Swaziland",
"SE": "Sweden",
"CH": "Switzerland",
"SY": "Syria",
"TW": "Taiwan",
"TJ": "Tajikistan",
"TZ": "Tanzania",
"TH": "Thailand",
"TL": "Timor-Leste",
"TG": "Togo",
"TK": "Tokelau",
"TO": "Tonga Islands",
"TT": "Trinidad and Tobago",
"TN": "Tunisia",
"TR": "Turkey",
"TM": "Turkmenistan",
"TC": "Turks and Caicos Islands",
"TV": "Tuvalu",
"UG": "Uganda",
"UA": "Ukraine",
"AE": "United Arab Emirates",
"GB": "United Kingdom",
"US": "United States",
"UY": "Uruguay",
"VI": "US Virgin Islands",
"UZ": "Uzbekistan",
"VU": "Vanuatu",
"VE": "Venezuela",
"VN": "Vietnam",
"WF": "Wallis and Futuna",
"EH": "Western Sahara",
"YE": "Yemen",
"ZM": "Zambia",
"ZW": "Zimbabwe"
}
================================================
FILE: data/dict.json
================================================
{
"m_names": [
"benjamin",
"martin",
"nicholas",
"roland",
"wilson",
"horace",
"edmund",
"matthew",
"nathan",
"emil",
"salvatore",
"clayton",
"delbert",
"irvin",
"wilbert",
"nick",
"abraham",
"ronald",
"felix",
"elbert",
"nathaniel",
"isaac",
"adam",
"pete",
"adolph",
"august",
"karl",
"dominick",
"emmett",
"elwood",
"roscoe",
"mack",
"amos",
"wendell",
"erwin",
"seymour",
"rex",
"malcolm",
"fredrick",
"sherman",
"harley",
"norbert",
"quentin",
"allan",
"gerard",
"juan",
"grant",
"millard",
"carlton",
"edmond",
"kermit",
"dwight",
"jasper",
"junior",
"jess",
"emanuel",
"steven",
"jake",
"simon",
"harrison",
"solomon",
"monroe",
"thurman",
"alphonse",
"maynard",
"moses",
"armand",
"mario",
"bruno",
"carlos",
"clement",
"alan",
"hyman",
"thaddeus",
"wade",
"conrad",
"cleveland",
"harlan",
"sol",
"elton",
"anton",
"gus",
"rocco",
"russel",
"ned",
"orval",
"ellsworth",
"barney",
"pershing",
"alonzo",
"eli",
"ruben",
"delmar",
"timothy",
"benny",
"reginald",
"emerson",
"marcus",
"vito",
"christopher",
"wilford",
"roman",
"lionel",
"elijah",
"stewart",
"ferdinand",
"ward",
"herschel",
"abe",
"francisco",
"levi",
"darrell",
"pasquale",
"ramon",
"noah",
"randolph",
"miles",
"wiley",
"basil",
"saul",
"booker",
"alfonso",
"freeman",
"silas",
"emory",
"pedro",
"royal",
"sanford",
"jackson",
"milford",
"foster",
"spencer",
"mathew",
"hiram",
"newton",
"eric",
"frederic",
"jeff",
"bertram",
"mervin",
"rolland",
"ambrose",
"micheal",
"ulysses",
"armando",
"milo",
"randall",
"aloysius",
"hugo",
"orlando",
"bud",
"meyer",
"marlin",
"alden",
"casimir",
"chris",
"luke",
"gregory",
"olin",
"riley",
"hal",
"isidore",
"sheldon",
"lorenzo",
"houston",
"benedict",
"waldo",
"israel",
"hoyt",
"scott",
"delmer",
"dewitt",
"darwin",
"lyman",
"christian",
"harland",
"phil",
"wilton",
"olen",
"hobert",
"major",
"columbus",
"sigmund",
"wilber",
"maxwell",
"jefferson",
"granville",
"gustave",
"quinton",
"clay",
"jules",
"elroy",
"justin",
"luis",
"elias",
"vaughn",
"burl",
"cyrus",
"harmon",
"nickolas",
"gaylord",
"rupert",
"theron",
"linwood",
"merton",
"taylor",
"casimer",
"lenard",
"lucius",
"anderson",
"coleman",
"davis",
"hobart",
"isaiah",
"judson",
"salvador",
"albin",
"nolan",
"oren",
"elmore",
"isiah",
"rubin",
"lincoln",
"matt",
"junius",
"alfredo",
"carlo",
"elden",
"reed",
"enoch",
"lemuel",
"winfield",
"antone",
"garfield",
"joshua",
"lucien",
"blaine",
"dock",
"joesph",
"raleigh",
"carlyle",
"edd",
"porter",
"romeo",
"arden",
"elwin",
"sebastian",
"walton",
"domingo",
"hilton",
"domenic",
"florian",
"emilio",
"napoleon",
"omar",
"mckinley",
"warner",
"aldo",
"edison",
"walker",
"dalton",
"darrel",
"general",
"jeremiah",
"oswald",
"raymon",
"guido",
"rollin",
"bennett",
"carson",
"sylvan",
"talmadge",
"jason",
"lucian",
"miguel",
"alphonso",
"haywood",
"raul",
"seth",
"felipe",
"constantine",
"lambert",
"pablo",
"buddy",
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gitextract_r4325kb_/
├── .dockerignore
├── .editorconfig
├── .gitattributes
├── .github/
│ └── workflows/
│ └── main.yml
├── .gitignore
├── Dockerfile
├── LICENSE
├── README.md
├── README.rst
├── app.js
├── app.py
├── auto_pip.sh
├── clean-up.logs
├── data/
│ ├── countries.json
│ ├── dict.json
│ ├── languages.json
│ ├── names.json
│ ├── sites.json
│ └── sites.json_new
├── docker-compose.yml
├── info
├── modules/
│ ├── engine.js
│ ├── external-apis.js
│ ├── extraction.js
│ ├── fast-scan.js
│ ├── helper.js
│ ├── name-analysis.js
│ ├── slow-scan.js
│ ├── special-scan.js
│ ├── stats.js
│ ├── string-analysis.js
│ └── visualize.js
├── package.json
├── public/
│ ├── app.html
│ └── graph.html
├── requirements.txt
├── setup.py
└── test/
├── requirements.txt
└── test.sh
SYMBOL INDEX (74 symbols across 13 files)
FILE: app.js
function delete_keys (line 565) | function delete_keys (object, temp_keys) {
function clean_up_item (line 574) | function clean_up_item (object, temp_keys_str) {
function search_and_change (line 588) | function search_and_change (site, _dict) {
function check_user_cli (line 597) | async function check_user_cli (argv) {
function list_all_websites (line 807) | async function list_all_websites () {
FILE: app.py
class SocialAnalyzer (line 49) | class SocialAnalyzer():
method __init__ (line 50) | def __init__(self, silent=False):
method delete_keys (line 74) | def delete_keys(self, in_object, keys):
method clean_up_item (line 84) | def clean_up_item(self, in_object, keys_str):
method get_language_by_guessing (line 101) | def get_language_by_guessing(self, text):
method get_language_by_parsing (line 112) | def get_language_by_parsing(self, source, encoding):
method check_errors (line 123) | def check_errors(self, on_off=None):
method setup_logger (line 142) | def setup_logger(self, uuid=None, file=False, argv=None):
method init_detections (line 219) | def init_detections(self, detections):
method get_website (line 231) | def get_website(self, site):
method search_and_change (line 240) | def search_and_change(self, site, _dict):
method top_websites (line 246) | def top_websites(self, top_number):
method list_all_websites (line 257) | def list_all_websites(self):
method fetch_url (line 268) | def fetch_url(self, site, username, options):
method find_username_normal (line 549) | def find_username_normal(self, req):
method check_user_cli (line 589) | def check_user_cli(self, argv):
method load_file (line 788) | def load_file(self, name, path_to_check, url_download):
method init_logic (line 807) | def init_logic(self):
method run_as_object (line 826) | def run_as_object(self, cli=False, gui=False, logs_dir='', logs=False,...
method run_as_cli (line 849) | def run_as_cli(self):
function main_logic (line 906) | def main_logic():
FILE: modules/engine.js
function merge_dicts (line 4) | function merge_dicts (temp_dict) {
function detect (line 18) | async function detect (type, uuid, username, options, site, source = '',...
function detect_logic (line 43) | async function detect_logic (type, uuid, username, options, site, source...
FILE: modules/external-apis.js
function get_words_info (line 4) | async function get_words_info (all_words, words_info) {
function check_engines (line 64) | async function check_engines (req, info) {
function custom_search_ouputs (line 106) | async function custom_search_ouputs (req) {
function custom_search_ouputs_website (line 119) | async function custom_search_ouputs_website (uuid, name, key) {
FILE: modules/extraction.js
function extract_metadata (line 6) | async function extract_metadata (site, source) {
function extract_patterns (line 60) | async function extract_patterns (site, source) {
FILE: modules/fast-scan.js
function find_username_normal (line 9) | async function find_username_normal (req) {
function get_failed (line 32) | async function get_failed (req, failed) {
function find_username_normal_wrapper (line 51) | async function find_username_normal_wrapper (req, sites) {
function find_username_site (line 81) | async function find_username_site (uuid, username, options, site) {
FILE: modules/helper.js
function get_log_file (line 97) | function get_log_file (uuid) {
function log_to_file_queue (line 103) | function log_to_file_queue (uuid, msg, table = false, argv = undefined) {
function get_language_by_parsing (line 153) | function get_language_by_parsing (body) {
function get_language_by_guessing (line 169) | function get_language_by_guessing (text) {
function get_site_from_url (line 187) | function get_site_from_url (_url) {
function get_url_wrapper_json (line 192) | async function get_url_wrapper_json (url, time = 2) {
function get_url_wrapper_text (line 231) | async function get_url_wrapper_text (url, time = 2) {
function compare_objects (line 271) | function compare_objects (object1, object2, key) {
function find_country (line 291) | function find_country (code) {
function setup_tecert (line 303) | async function setup_tecert () {
FILE: modules/name-analysis.js
function find_origins (line 4) | async function find_origins (req) {
FILE: modules/slow-scan.js
function find_username_advanced (line 19) | async function find_username_advanced (req) {
function find_username_site (line 41) | async function find_username_site (uuid, username, options, site) {
FILE: modules/special-scan.js
function find_username_special (line 5) | async function find_username_special (req) {
function find_username_site_special_facebook_1 (line 33) | async function find_username_site_special_facebook_1 (uuid, username, si...
function find_username_site_special_gmail_1 (line 86) | async function find_username_site_special_gmail_1 (uuid, username, site) {
function find_username_site_special_google_1 (line 138) | async function find_username_site_special_google_1 (uuid, username, site) {
FILE: modules/stats.js
function group_by_value (line 3) | function group_by_value (list, key) {
function get_stats_by_value (line 10) | async function get_stats_by_value (data, value) {
function get_metadata (line 49) | async function get_metadata(data, type){
function get_stats (line 92) | async function get_stats (req, data) {
FILE: modules/string-analysis.js
function most_common1 (line 6) | function most_common1 (all_words, temp_words) {
function most_common (line 30) | async function most_common (all_words, temp_words) {
function find_other (line 54) | function find_other (req, all_words) {
function remove_word (line 71) | function remove_word (str, sub_string) {
function analyze_string (line 78) | async function analyze_string (req, all_words) {
function split_comma (line 142) | async function split_comma (req, all_words) {
function split_upper_case (line 152) | async function split_upper_case (req, all_words) {
function split_alphabet_case (line 162) | async function split_alphabet_case (req, all_words) {
function find_symbols (line 172) | async function find_symbols (req, all_words) {
function find_numbers (line 182) | async function find_numbers (req, all_words) {
function convert_numbers (line 192) | async function convert_numbers (req) {
function get_maybe_words (line 218) | async function get_maybe_words (req, all_words) {
function guess_age_from_string (line 225) | async function guess_age_from_string(req) {
FILE: modules/visualize.js
function visualize_force_graph (line 4) | async function visualize_force_graph (req, detected, type) {
Condensed preview — 39 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (3,839K chars).
[
{
"path": ".dockerignore",
"chars": 43,
"preview": ".dockerignore\n.git\ninfo\nreadme/\nDockerfile\n"
},
{
"path": ".editorconfig",
"chars": 290,
"preview": "root = true\n\n[*]\nindent_style = space\nindent_size = 2\nend_of_line = lf\ncharset = utf-8\ntrim_trailing_whitespace = true\ni"
},
{
"path": ".gitattributes",
"chars": 25,
"preview": "*.* linguist-language=js\n"
},
{
"path": ".github/workflows/main.yml",
"chars": 810,
"preview": "name: publish \non: [push]\njobs:\n publish:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v2\n "
},
{
"path": ".gitignore",
"chars": 1883,
"preview": "# https://github.com/github/gitignore/blob/master/Node.gitignore\n\n# Logs\nlogs\n*.log\nnpm-debug.log*\nyarn-debug.log*\nyarn-"
},
{
"path": "Dockerfile",
"chars": 246,
"preview": "FROM node:18.15.0-alpine3.17\nWORKDIR /usr/src/app\nCOPY . .\nRUN apk update && \\\n apk add --no-cache firefox-esr && \\\n n"
},
{
"path": "LICENSE",
"chars": 34523,
"preview": " GNU AFFERO GENERAL PUBLIC LICENSE\n Version 3, 19 November 2007\n\n Copyright (C)"
},
{
"path": "README.md",
"chars": 10365,
"preview": "<p align=\"center\"> <img src=\"https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/socialanalyzerlogo_.p"
},
{
"path": "README.rst",
"chars": 10871,
"preview": ".. image:: https://raw.githubusercontent.com/qeeqbox/social-analyzer/main/readme/socialanalyzerlogo_.png\n\nSocial-Analyze"
},
{
"path": "app.js",
"chars": 29255,
"preview": "// -------------------------------------------------------------\n// author Giga\n// project qeeqbox/socia"
},
{
"path": "app.py",
"chars": 43285,
"preview": "#!/usr/bin/env python\n\n\"\"\"\n// -------------------------------------------------------------\n// author Giga\n// "
},
{
"path": "auto_pip.sh",
"chars": 1472,
"preview": "#!/bin/bash\necho \"Auto pip Package Creator - QeeqBox\"\necho \"[x] Deleting pip-social-analyzer\"\n[[ -d pip-social-analyzer "
},
{
"path": "clean-up.logs",
"chars": 129,
"preview": "Mon Jan 12 21:50:20 UTC 2026\n[X] social-analyzer\n[X] installing autopep8 & jq\n[X] running autopep8\n[X] sorting websites\n"
},
{
"path": "data/countries.json",
"chars": 5136,
"preview": "{\n \"AF\": \"Afghanistan\",\n \"AL\": \"Albania\",\n \"DZ\": \"Algeria\",\n \"AS\": \"American Samoa\",\n \"AD\": \"Andorra\",\n \"AO\": \"Ang"
},
{
"path": "data/dict.json",
"chars": 1444735,
"preview": "{\n \"m_names\": [\n \"benjamin\",\n \"martin\",\n \"nicholas\",\n \"roland\",\n \"wilson\",\n \"horace\",\n \"edmund\",\n "
},
{
"path": "data/languages.json",
"chars": 3508,
"preview": "{\n \"aa\": \"Afar\",\n \"ab\": \"Abkhazian\",\n \"af\": \"Afrikaans\",\n \"ak\": \"Akan\",\n \"sq\": \"Albanian\",\n \"am\": \"Amharic\",\n \"ar"
},
{
"path": "data/names.json",
"chars": 193884,
"preview": "{\n \"indian\": {\n \"boy\": [\n \"aamir\",\n \"abbas\",\n \"abdul\",\n \"abhay\",\n \"abhijeet\",\n \"abhiji"
},
{
"path": "data/sites.json",
"chars": 530219,
"preview": "{\n \"project\": {\n \"name\": \"social-analyzer\"\n },\n \"websites_entries\": [\n {\n \"url\": \"https://24.wikia.com/wik"
},
{
"path": "data/sites.json_new",
"chars": 530219,
"preview": "{\n \"project\": {\n \"name\": \"social-analyzer\"\n },\n \"websites_entries\": [\n {\n \"url\": \"https://24.wikia.com/wik"
},
{
"path": "docker-compose.yml",
"chars": 748,
"preview": "version: \"3\" \nservices:\n social-analyzer:\n build: .\n ports:\n - \"9005:9005\"\n depends_on:\n - hub\n l"
},
{
"path": "info",
"chars": 369,
"preview": "{\"version\":\"2021.V.2.32\",\n \"build\":\"pass\",\n \"test\":\"pass\",\n \"grid_test\":\"pass\",\n \"websites\":\"~1000\",\n \"detections\":\"2632"
},
{
"path": "modules/engine.js",
"chars": 4715,
"preview": "import helper from './helper.js'\nimport createWorker from 'tesseract.js'\n\nfunction merge_dicts (temp_dict) {\n const res"
},
{
"path": "modules/external-apis.js",
"chars": 5594,
"preview": "import helper from './helper.js'\nimport async from 'async'\n\nasync function get_words_info (all_words, words_info) {\n co"
},
{
"path": "modules/extraction.js",
"chars": 2860,
"preview": "import helper from './helper.js'\nimport * as cheerio from 'cheerio'\n\n\nconst strings_meta = new RegExp('regionsAllowed|wi"
},
{
"path": "modules/fast-scan.js",
"chars": 7829,
"preview": "import helper from './helper.js'\nimport extraction from './extraction.js'\nimport async from 'async'\nimport sanitizeHtml "
},
{
"path": "modules/helper.js",
"chars": 10157,
"preview": "const verbose = false\nconst global_lock = []\nconst google_api_key = ''\nconst google_api_cs = ''\nconst grid_url = ''\ncons"
},
{
"path": "modules/name-analysis.js",
"chars": 2580,
"preview": "import helper from './helper.js'\nimport stringSimilarity from 'string-similarity'\n\nasync function find_origins (req) {\n "
},
{
"path": "modules/slow-scan.js",
"chars": 7255,
"preview": "\nimport helper from './helper.js'\nimport extraction from './extraction.js'\nimport async from 'async'\nimport sanitizeHtml"
},
{
"path": "modules/special-scan.js",
"chars": 6815,
"preview": "import helper from './helper.js'\nimport async from 'async'\nimport {Builder,By,Key} from 'selenium-webdriver'\n\nasync func"
},
{
"path": "modules/stats.js",
"chars": 3138,
"preview": "import helper from './helper.js'\n\nfunction group_by_value (list, key) {\n return list.reduce(function (x, y) {\n (x[y["
},
{
"path": "modules/string-analysis.js",
"chars": 8584,
"preview": "import helper from './helper.js'\nimport {findWord} from 'most-common-words-by-language'\nimport WordsNinjaPack from 'word"
},
{
"path": "modules/visualize.js",
"chars": 2702,
"preview": "import {QBIxora} from 'ixora'\nimport helper from './helper.js'\n\nasync function visualize_force_graph (req, detected, typ"
},
{
"path": "package.json",
"chars": 1505,
"preview": "{\n \"name\": \"social-analyzer\",\n \"version\": \"2.0.32\",\n \"description\": \"Advanced Social Media Profiles Finder and String"
},
{
"path": "public/app.html",
"chars": 54706,
"preview": "<!--\n// -------------------------------------------------------------\n// author Giga\n// project qeeqbox/"
},
{
"path": "public/graph.html",
"chars": 378495,
"preview": "<!-- qeeqbox ixora project [Do not remove!] -->\n\n<html>\n<meta charset=\"utf-8\">\n<title>Social-Analyzer</title>\n<script sr"
},
{
"path": "requirements.txt",
"chars": 63,
"preview": "BeautifulSoup4\ntld\ntermcolor\nlangdetect\nrequests\nlxml\ngaleodes\n"
},
{
"path": "setup.py",
"chars": 826,
"preview": "#!/usr/bin/python\n# -*- coding: utf-8 -*-\n\nfrom setuptools import setup\n\nwith open('README.rst', 'r') as fh:\n long_de"
},
{
"path": "test/requirements.txt",
"chars": 16,
"preview": "social-analyzer\n"
},
{
"path": "test/test.sh",
"chars": 144,
"preview": "if echo \"$(python3 -m social-analyzer -h)\" | grep -q 'languages.json & sites.json loaded successfully'; then\n echo \"Goo"
}
]
About this extraction
This page contains the full source code of the qeeqbox/social-analyzer GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 39 files (3.2 MB), approximately 836.5k tokens, and a symbol index with 74 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.