Skip to content

Web Vulnerabilities Incidents Monitoring Service using Machine Learning. Awarded 2nd place at Hackathor.

Notifications You must be signed in to change notification settings

abdurahman-ctis/Hackathor-ClouDek

Repository files navigation

ClouDek Logo

ClouDek

Web Vulnerabilities Incidents Monitoring Service using Machine Learning

Description

Using ML models with 99.5% accuracy - %99.2 F1 Score, we are able to detect different web attack variants like (XSS,SQLi,CSRF,Open Redirect,etc..). The developer of a certain website could add our JS code, that routes all query params and submitted forms to our core Microservice that parses this data and then communicates to the ML microservice to get confidence results and then through a secure websockets connection send those results to a dashboard that has informative and attractive Widgets and Charts and Incoming Incidents alerts written in React and Redux.

Screens

Tech Stack

Features

  • Using ML models with 99.5% accuracy - %99.2 F1 Score
  • Microservice architecture design
  • Scalable
  • Easy to deploy
  • Test different attack variants (XSS,CSRF,SQL,Bruteforce)
  • Setup in under 1 min
  • Attractive & informative dashboard
  • Secure communication protocols (SSL,WSS + Encryption)

Technologies used

  • Python
  • Tornado
  • Scipy Kit
  • Numpy
  • Asyncio
  • React
  • Redux
  • JQuery
  • Digital Ocean

Author

About

Web Vulnerabilities Incidents Monitoring Service using Machine Learning. Awarded 2nd place at Hackathor.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published