bug-report-summaries

# Bug Bounty summaries 🕵️‍♂️

Welcome to **Bug Bounty summaries**! This repository is your one-stop resource for streamlined bug bounty hunting and cybersecurity research. From AI-driven report summaries to hands-free report narration, we've packed in features designed to make bug bounty hunting more efficient, educational, and enjoyable.

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## 🚀 Features

- **AI-Powered Analysis**:  
  Automatically fetch, summarize, and analyze public bug bounty reports using state-of-the-art AI models. No more manual parsing—just insights and actionable takeaways.

- **Hands-Free Narration**:  
  Let the tools read out the most critical findings aloud. Perfect for multitasking or reviewing while you focus on other tasks.

- **GitHub Integration**:  
  Push findings directly to your GitHub repository for easy sharing, reference, and collaboration.

- **Interactive Browser Linking**:  
  Open reports in your browser right from the command line. Seamlessly navigate between summarized data and full reports.

- **Newbie-Friendly Guides**:  
  For every report, we include step-by-step guides on how similar vulnerabilities can be identified and addressed.

- **Customizable Workflows**:  
  Tweak what you want: enable or disable narration, control AI prompt styles, and decide how reports are sorted, grouped, and stored.

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## 📖 Getting Started

1. **Clone the Repository**:  
   ```bash
   git clone https://github.com/kdairatchi/bug-bounty-summaries.git
   cd bug-bounty-summaries

2. Install Dependencies:

   pip install -r requirements.txt

3. Configure Your Environment:

   • OpenAI API Key:
     Make sure you have a valid OpenAI API key set as OPENAI_API_KEY in your environment variables.
   • GitHub Token:
     If you’re pushing findings to a private GitHub repository, ensure GITHUB_TOKEN is set in your environment variables.

4. Run the Tool:

   python main.py

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🛠️ How It Works

1. Input:

   • Provide a list of bug bounty report URLs in a simple text file.

2. Process:

   • The tool fetches each report’s content.
   • It generates AI-based summaries, highlights key insights, and identifies patterns.

3. Output:

   • Summaries are saved locally.
   • Optionally, summaries are also uploaded to your GitHub repository.
   • Findings can be read aloud or reviewed in the browser.

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🎯 Ideal For

• Aspiring Bug Bounty Hunters:
  Learn faster by studying detailed summaries and guides for each report.
• Experienced Researchers:
  Save time and keep your workflow efficient by automating repetitive tasks.
• Educators and Mentors:
  Use the collected summaries and guides as a teaching resource for students and newcomers.

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🌟 Features on the Roadmap

• Interactive CLI:
  A terminal-based menu for selecting reports, changing settings, and viewing summaries without leaving your command line.
• Advanced AI Models:
  Support for fine-tuned models and additional prompt customization.
• Community Contributions:
  Easily integrate user-submitted vulnerability patterns and scanning configurations.

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🤝 Contributions

We welcome contributions! Check out our Contributing Guide to learn how you can help improve the toolsuite.

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🧰 Tools and Technologies

• Python: The core language driving the toolset.
• GitHub API: Seamless integration for storing and sharing findings.
• OpenAI: AI-powered insights and summaries.
• Beautiful Soup & Requests: Robust web scraping and data fetching.

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📝 License

This project is licensed under the MIT License.
Feel free to use, modify, and share it as long as proper credit is given.

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📫 Questions or Feedback?

Drop us a line at [email protected].
You can also create an issue in the GitHub repository to suggest features or report bugs.

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Happy bug hunting! 🎉