A fast, lightweight, and powerful subdomain scanner with a massive built-in wordlist of 822,822 potential subdomains. Perfect for security researchers, penetration testers, and system administrators.
- Comprehensive wordlist with 822,822 potential subdomains
- Lightning-fast scanning with multi-threading support
- Export results in CSV format for easy analysis
- Lightweight and resource-efficient
- Cross-platform compatibility (Windows, Linux, MacOS)
- Simple command-line interface
- Regular expression filtering support
- Real-time progress monitoring
- DNS resolution verification
- Custom timeout settings
- Clone the repository:
https://github.com/pentesterhelper/enterprise-subdomain-discovery.git- Navigate to the project directory:
cd enterprise-subdomain-discovery- Install required dependencies:
pip install -r requirements.txtBasic usage:
python3 app.py- Python 3.7+
- dnspython
- requests
- tqdm
- concurrent.futures (built-in)
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
If you find this tool useful, please consider giving it a star ⭐ on GitHub!
For bugs, feature requests, or additional questions, please open an issue on GitHub.
This project is licensed under the MIT License - see the LICENSE file for details.
This tool is for educational and research purposes only. Users are responsible for ensuring they have permission to scan target domains. The developers assume no liability and are not responsible for any misuse or damage caused by this program.
- Thanks to all contributors who have helped with the wordlist
- Special thanks to the open-source security community
- Built with inspiration from various subdomain enumeration tools
Made with ❤️ by pentesterhelper