Metadata-Version: 2.4
Name: metamaska
Version: 0.0.1
Summary: malevolent payload classifier
Project-URL: Homepage, https://github.com/happyhackingspace/metamaska
Project-URL: Documentation, https://happyhackingspace.github.io/metamaska
Project-URL: Repository, https://github.com/happyhackingspace/metamaska
Author-email: Doğan Can Bakır <dogancanbakir@protonmail.com>, Happy Hacking Space <team@happyhacking.space>
License-Expression: MIT
License-File: LICENSE
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.13
Requires-Dist: click>=8.0
Requires-Dist: huggingface-hub>=1.4.1
Requires-Dist: scikit-learn>=1.8.0
Description-Content-Type: text/markdown

#  μετάμάσκα - malevolent payload classifier
meta.mask can detect different types of malicious payloads like SQL injection, XSS, path-traversal, and command injection payloads.

[![pypi](https://img.shields.io/pypi/v/metamaska.svg)](https://pypi.org/project/metamaska/)
[![python](https://img.shields.io/pypi/pyversions/metamaska.svg)](https://pypi.org/project/metamaska/)
[![Build Status](https://github.com/happyhackingspace/metamaska/actions/workflows/ci.yml/badge.svg)](https://github.com/happyhackingspace/metamaska/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/happyhackingspace/metamaska/branch/main/graphs/badge.svg)](https://codecov.io/github/happyhackingspace/metamaska)



* Documentation: <https://happyhackingspace.github.io/metamaska>
* GitHub: <https://github.com/happyhackingspace/metamaska>
* PyPI: <https://pypi.org/project/metamaska/>
* Free software: MIT


## TODO

* support more types
* support interoperable model formats, more at [here](https://scikit-learn.org/stable/model_persistence.html#interoperable-formats)

## Credits

- [Cookiecutter](https://github.com/audreyr/cookiecutter)
- [waynerv/cookiecutter-pypackage](https://github.com/waynerv/cookiecutter-pypackage)
- [ML-based-WAF](https://github.com/vladan-stojnic/ML-based-WAF)
- [WAF-A-MoLE](https://github.com/AvalZ/WAF-A-MoLE)
