FA-PengFei/NGWAF
First iteration of ML based Feedback WAF
This project offers a new way to protect web applications from cyberattacks. Instead of blocking malicious traffic outright, it uses machine learning to identify threats like SQL injection and then redirects attackers to a safe, emulated environment. This allows security teams to observe attacker behavior and gather data to automatically improve the system's detection capabilities over time.
No commits in the last 6 months.
Use this if you manage web applications and want an automated, adaptive system to detect and respond to cyber threats without immediately blocking them.
Not ideal if you need a production-ready, fully supported Web Application Firewall solution right now, as this is an experimental proof of concept.
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59
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7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 20, 2024
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