Protego

Detect SQL Injection Payloads
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Installation
3. Roadmap
4. Contributing
5. License
6. Contact

About The Project

Protego essentially bundles batch modeling algorithms from SciKit Learn with online modeling algorithms from River. It's purpose is to build machine learning models capable of detecting SQL injection payloads. The only items in this package restricted to SQL injection is a DataLoader class, which will fetch 115k samples that I have collected, and the FeatureExtractor class. The models themselves can be trained for any type of classification task.

Built With

Getting Started

This package can be downloaded using PyPI.

Installation

pip3 install protego-sqli

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/newFeature)
3. Commit your Changes (git commit -m 'adding new feature xyz')
4. Push to the Branch (git push origin feature/newFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Bradley Reeves - reevesbra@outlook.com

Project Link: https://github.com/reevesba/protego