Security Reconnaissance Automation Framework

A comprehensive framework for automating security testing and vulnerability analysis using LLM capabilities, designed to support multiple bug bounty programs.

Project Structure

recon_automation/
├── config/                    # Configuration files
│   ├── programs/             # Program-specific configurations
│   │   ├── microsoft/        # Microsoft bug bounty config
│   │   ├── google/           # Google VRP config
│   │   └── infomaniak/       # Infomaniak config
│   ├── scope.yaml            # Global scope settings
│   └── recon.yaml            # Global recon settings
├── tools/                    # Core analysis tools
│   ├── analysis/            # Analysis modules
│   │   ├── o1_analyzer.py   # O1 model integration
│   │   ├── scope_manager.py # Scope validation
│   │   └── web_analyzer.py  # Web vulnerability analysis
│   ├── llm/                 # LLM integration tools
│   └── utils/               # Utility functions
├── programs/                # Program-specific code
│   ├── microsoft/           # Microsoft bug bounty
│   │   ├── analyzers/       # Custom analyzers
│   │   ├── rules/          # Program-specific rules
│   │   └── templates/      # Report templates
│   ├── google/             # Google VRP
│   └── infomaniak/         # Infomaniak program
├── tests/                   # Test suite
│   ├── unit/               # Unit tests
│   ├── integration/        # Integration tests
│   └── programs/           # Program-specific tests
├── documentation/          # Project documentation
│   ├── programs/          # Program documentation
│   ├── API.md             # API reference
│   └── DEVELOPMENT.md     # Development guide
├── reports/               # Analysis reports
│   ├── microsoft/        # Microsoft findings
│   ├── google/          # Google VRP findings
│   └── infomaniak/      # Infomaniak findings
└── scripts/              # Utility scripts

Features

• Multi-Program Support

  • Program-specific configurations
  • Custom analysis rules per program
  • Tailored report templates
  • Scope management per program

• Advanced Analysis

  • Automated security analysis using OpenAI's O1 model
  • Vulnerability chain detection and analysis
  • Scope-aware vulnerability detection
  • Comprehensive logging and monitoring

• Security Features

  • Rate limiting and request throttling
  • Input validation and sanitization
  • Secure configuration management
  • Audit logging and monitoring

• Developer Tools

  • Type-safe implementation
  • Comprehensive test suite
  • Code quality tools
  • CI/CD integration

Quick Start

1. Clone and Setup:

   git clone https://github.com/reconsumeralization/BugBounty.git
   cd BugBounty

2. Install Dependencies:

   python -m venv venv
   source venv/bin/activate  # or .\venv\Scripts\activate on Windows
   pip install -r requirements.txt

3. Configure Program:

   cp config/programs/example.yaml config/programs/your_program.yaml
   # Edit your_program.yaml with specific settings

4. Run Analysis:

   python tools/run_analysis.py --program microsoft --target example.com

Program-Specific Guidelines

Microsoft Bug Bounty

• Supported programs:
  • Microsoft Online Services
  • Microsoft Identity
  • Azure
  • Windows Security
• Reward ranges: $500 - $250,000
• Special focus areas:
  • Remote Code Execution
  • Elevation of Privilege
  • Security Feature Bypass

Google VRP

• Supported platforms:
  • Google Cloud Platform
  • Android
  • Chrome
• Reward ranges: $100 - $31,337
• Special requirements:
  • Functional exploits
  • Clear security impact

Infomaniak

• Target scope:
  • Web applications
  • API endpoints
  • Infrastructure
• Reward ranges: €100 - €10,000
• Focus areas:
  • Authentication bypass
  • Data exposure
  • Infrastructure security

Development

See Development Guide for detailed setup and contribution guidelines.

Testing

Run tests for specific programs:

pytest tests/programs/microsoft/
pytest tests/programs/google/
pytest tests/programs/infomaniak/

Security

• All API keys and secrets should be stored in .env
• Follow program-specific security guidelines
• Respect rate limits and scope boundaries
• Report findings responsibly

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.