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"An intelligent reconnaissance framework for bug bounty hunters, leveraging AI and advanced heuristics to identify and prioritize targets."

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Smart-BugBounty-Recon 🕵️🧠

An intelligent reconnaissance framework for bug bounty hunters, leveraging AI and advanced heuristics to identify and prioritize targets effectively.

🚀 Why "Smart"?

Traditional recon tools generate vast amounts of data. Smart-BugBounty-Recon aims to:

  • Prioritize: Help hunters focus on the most promising assets.
  • Contextualize: Provide deeper insights beyond simple enumeration.
  • Automate Intelligently: Go beyond basic scripting with smarter decision-making.
  • Uncover Hidden Gems: Identify attack surface that might be missed by standard tools.

✨ Key Features (Planned & In-Progress)

  • Comprehensive Asset Discovery:
    • Advanced Subdomain Enumeration (integrating multiple sources & techniques)
    • IP & Port Analysis
    • Cloud Asset Identification
  • Deep Technology Profiling:
    • Accurate tech stack detection
    • Version identification and known vulnerability cross-referencing (e.g., via CVE databases)
  • Content & Endpoint Analysis:
    • Intelligent directory/file brute-forcing
    • JavaScript file analysis for sensitive information and endpoints (potentially using NLP/RegEx)
    • API endpoint discovery
  • 🧠 AI-Powered Prioritization Engine:
    • Scoring assets based on technology risk, exposed services, potential misconfigurations.
    • (Future) NLP on website content or robots.txt for interesting keywords.
    • (Future) Anomaly detection in discovered assets.
  • Modular Design: Easily extensible with new recon modules or AI models.
  • Reporting: Clear and actionable output.
  • Configuration: Flexible configuration for API keys, scan intensity, etc.

🛠️ Technology Stack (Tentative)

  • Python 3.x
  • Key Python Libraries: requests, dnspython, python-nmap, beautifulsoup4, argparse, (AI/ML: scikit-learn, nltk, spacy, transformers - choose as needed)
  • External Tools: (Wrappers for) Amass, Subfinder, Nmap, Nuclei (for known vuln checks), etc.
  • (Optional) Database: SQLite for local storage, or more robust options for larger datasets.

🏁 Getting Started

(This section will be filled in as you build)

  1. Clone the repository:
    git clone https://github.com/raghu-007/Smart-BugBounty-Recon.git
    cd Smart-BugBounty-Recon
  2. Install dependencies:
    pip install -r requirements.txt
  3. Configure API keys (e.g., in config.ini):
    cp config.example.ini config.ini
    # Edit config.ini with your keys
  4. Run a basic scan:
    python smart_recon.py -d example.com

📂 Project Structure (Tentative)

(Briefly describe your planned folder structure here once decided)

🤝 Contributing

Contributions are welcome! Please read CONTRIBUTING.md for guidelines on how to contribute (bug reports, feature requests, PRs).

📜 License

This project is licensed under the Apache 2.0 License.

⚠️ Disclaimer

This tool is intended for educational purposes and for use in authorized bug bounty hunting or penetration testing engagements ONLY. Unauthorized scanning of systems is illegal. The developers assume no liability and are not responsible for any misuse or damage caused by this program.

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