)                )   (      (     
( /(     (       ( /(   )\ )   )\ )  
 )\())    )\      )\()) (()/(  (()/(  
((_)\  ((((_)(   ((_)\   /(_))  /(_)) 
 _((_)  )\ _ )\  __((_) (_))   (_))   
| || |  (_)_\(_) \ \/ / / __|  / __|  
| __ |   / _ \    >  <  \__ \  \__ \  
|_||_|  /_/ \_\  /_/\_\ |___/  |___/  

A reinforcement learning based XSS injection prototype.

HAXSS docker

From docker hub:

docker run -it --name haxss --network=host mlf20/haxss

Build from Dockerfile:

git clone https://github.com/ICL-ml4csec/HAXSS.git
cd ./HAXSS
docker build -t haxss .
docker run -it --name haxss --network=host haxss bash

Train HAXSS with (see micro_benchmark dir for the training webapp):

python train.py --url [url] 

Test HAXSS with:

 python test.py --url [url]

Do not run apt-get upgrade in the docker contianer as this will update the chrome version, causing the chromedrive to be the wrong version.

The XP Test Bed used to train Haxss can be found in the 'micro_benchmark' directory, which can be made into a container as described in the relevant README.md

The following webapps can be built into docker containers:

• WebSecLab
• WAVSEP
• WackoPicko
• SCARF

These are located in the folder 'webapp_dockers', and can be found with corresponding README.md files.