MetaX is a cutting-edge XSS (Cross-Site Scripting) vulnerability detector designed to uncover and prevent security breaches in web applications. Built with modern techniques, MetaX offers an intuitive UI, high-performance scanning, and precise vulnerability detection.
- Advanced XSS Detection: Utilizes sophisticated machine learning models for accurate and high-confidence vulnerability detection.
- Modern UI/UX: A sleek and responsive interface for an enhanced user experience.
- Real-time Scanning: Fast and efficient scanning with live updates and progress tracking.
- Results Management: Sorted and prioritized results with easy copy-to-clipboard functionality.
- Fully Customizable: Tailor the tool's configurations and payloads to fit your specific needs.
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Clone the Repository
git clone https://github.com/dragonked2/MetaX.git
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Navigate to the Project Directory
cd MetaX
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Install Dependencies
pip install -r requirements.txt
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Run MetaX
python metax.py
- Python 3.7+
- PyQt5: For the graphical user interface.
- aiohttp: Asynchronous HTTP client for high-performance requests.
- scikit-learn: For machine learning-based XSS detection.
- Joblib: Model serialization and deserialization.
- Enter the URL you want to scan.
- Start the Scan by clicking the "Start Scan" button.
- View Real-time Results with confidence scores and detailed vulnerability insights.
- Copy Results to your clipboard with a single click for further analysis.
MetaX is optimized for performance, offering fast and accurate scanning even in large and complex web applications. The tool leverages parallel processing and efficient algorithms to minimize scan time without compromising on accuracy.
For detailed documentation, please refer to the Wiki.
MetaX is designed with security in mind. It uses a rigorous process for vulnerability detection to ensure your applications remain secure and compliant.
We welcome contributions! Please check the Contributing Guidelines to get started. Whether it's reporting a bug, suggesting a new feature, or submitting a pull request, your input is valuable.
This project is licensed under the MIT License. See the LICENSE file for more details.
For any questions, issues, or feedback, feel free to open an issue or contact the author:
- Author: Ali Essam
- GitHub: Ali Essam
- Email: [email protected]
If you find MetaX useful, please consider giving a ⭐️ on GitHub or sharing it with others!