Webspoilt is a Python-based reconnaissance and network testing tool designed for cybersecurity professionals and ethical hackers. It facilitates website information gathering, vulnerability assessment, and performance testing in authorized environments.
- Comprehensive Website Reconnaissance – Gather detailed information about target websites.
- Stress & Performance Testing – Assess website robustness and identify potential bottlenecks.
- Cross-Platform Compatibility – Works across multiple operating systems.
Operating System | Supported | Notes |
---|---|---|
Kali Linux | ✅ Yes | Fully tested |
Parrot OS | ✅ Yes | Fully tested |
Garuda Linux | ✅ Yes | Fully tested |
Termux | ✅ Yes | Requires Python setup |
Windows | ⚠ Partial | May require WSL or Docker |
macOS | ⚠ Partial | Docker recommended |
- Docker ≥ 20.10
- Python ≥ 3.10 (for manual installation)
Docker ensures consistent setup, isolates dependencies, and simplifies execution across all platforms.
docker pull deadshot0x7/webspoilt:latest
docker run -it deadshot0x7/webspoilt:latest
docker run -it -v $(pwd)/results:/app/results deadshot0x7/webspoilt:latest
version: '3.8'
services:
webspoilt:
image: deadshot0x7/webspoilt:latest
stdin_open: true
tty: true
volumes:
- ./results:/app/results
- ./config:/app/config
Save this as
docker-compose.yml
and run:docker-compose up -d
- Clone the Repository
git clone https://github.com/Deadshot0x7/Webspoilt.git
cd Webspoilt
- Install Dependencies
pip install -r requirements.txt
- Run the Tool
python Webspoilt.py
- Authorized Use Only – Ensure all testing is performed on assets you own or have explicit permission to test.
- Output Management – Store results in a designated directory for later analysis.
If you find Webspoilt valuable and would like to support ongoing development and maintenance, contributions are greatly appreciated. Supported methods:
- BuyMeACoffee: https://buymeacoffee.com/Deadshot0x7
- PayPal (one-click): https://payapl.me/deadshot0x7
- UPI[ IDNIA ] :
sviquarahmed@okaxis
Contributions help cover hosting, development time, and future feature work. Thank you for your support.
Contributions are welcome. Please fork the repository, implement your changes, and submit a pull request. Ensure code adheres to Python best practices.
This project is licensed under the MIT License. See the LICENSE
file for details.