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A Machine Learning Based Web Application firewall

Home Page: https://elegant-hermann-b02c50.netlify.app/

Hack 0.65% HTML 6.56% Python 1.57% Jupyter Notebook 91.22%
machine-learning payload xss waf bugbounty pyhton3 waf-bypass ai cybersecurity

mangyawaf's Introduction

mangyaWAF

A machine learning based web application firewall: The purpose of this project is to investigate the potential of using machine learning techniques for intrusion detection on an application level. The algorithms to be tested are classifiers trained on HTTP payload data which will take a payload as input and decide whether the input contained malicious code or not. WAF will protect from XSS,SQL etc.

Live URL: mmswaf.42web.io [React] (https://elegant-hermann-b02c50.netlify.app/) (aws instance is stoped due to billing please watch video for live website performance)

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