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A framework that suggests actions to perform during a web application penetration test, based on a multiobjective reinforcement learning environment

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xss_suggester

A framework that suggests actions to perform during a web application penetration test, based on a multiobjective reinforcement learning environment. Currently supports XSS vulnerabilities detection. Try it on OWASP WAVSEP benchmark!

Requirements

Python 2.7

Installation

git clone https://github.com/catuhub/xss_suggester.git

cd xss_suggester

pip install -r requirements.txt

python app.py

Point your browser to localhost:5000

Dockerfile

docker build . -t xss_suggester

docker run -d -p 5000:5000 xss_suggester

Test with Wavsep

docker run -d -p 8080:8080 owaspvwad/wavsep

Point your browser to localhost:8080/wavsep/active/Reflected-XSS/RXSS-Detection-Evaluation-GET/

Pick a test case, follow the suggestions and check if you can find XSS vulnerabilities.

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A framework that suggests actions to perform during a web application penetration test, based on a multiobjective reinforcement learning environment

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