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12.0 2.0 3.0 69.31 MB

Web Application Firewall for thesis

Shell 0.02% Dockerfile 0.02% HTML 2.41% Lua 0.14% Python 1.14% JavaScript 0.22% Jupyter Notebook 2.25% C 93.80% Makefile 0.01%
waf modsecurity docker machine-learning

waf's Introduction

Web Application Firewall

This project is a web application firewall (WAF) based on ModSecurity Core Rule Set with some Machine Learning improvements. This project is currently under development and will release soon.

How to run

Prerequisites

To build and run this project, you must install docker and docker-compose first. Refer to the official docker documentation for the installation.

Deployment

Clone and init submodule

git clone https://github.com/ngoctint1lvc/waf.git
cd waf/
git submodule update --init --recursive

Create .env file from .env.example

MONGODB_SERVER=log-db
MONGO_INITDB_ROOT_USERNAME=
MONGO_INITDB_ROOT_PASSWORD=
DEBUG=1
MONGO_EXPRESS_USERNAME=
MONGO_EXPRESS_PASSWORD=
COLLECTION_PREFIX=test

Add your certificate and private key in openresty/nginx/ssl folder

./openresty/nginx/ssl
├── localhost-key.pem
└── localhost.pem

Start all services

docker-compose -f docker-compose.prod.yml up -d

Redirect all traffic to http proxy server at port 80

How to develop

Clone this project and start all docker services. Two images for testing including DVWA and Nginx server.

git clone https://github.com/ngoctint1lvc/waf.git
cd waf/
git submodule update --init --recursive

Add 2 local dns record to your host files

127.0.0.1 dvwa.test
127.0.0.1 nginx.test

Start all containers

docker-compose up -d

Authors

waf's People

Contributors

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Watchers

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waf's Issues

Data set not available

Hey, I really like your project, I'm also a student, I want to try to make a ModSecurity module using ML but with a neural networks. I wanted to run your ipynb file but the dataset seems unavailable, I got the access code but the files are missing or removed on google drive. Could you share your datasets please?

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