Giter Site home page Giter Site logo

crypto-cat / redirekt Goto Github PK

View Code? Open in Web Editor NEW
14.0 2.0 4.0 14.38 MB

Code-base to go with academic paper "REdiREKT: Extracting Malicious Redirections from Exploit Kit Traffic" available @ https://pure.qub.ac.uk/en/publications/redirekt-extracting-malicious-redirections-from-exploit-kit-traff and short video presentation and tool demo here: https://www.youtube.com/watch?v=DIXRouNfq6E

Shell 0.14% Zeek 4.82% Python 39.96% Jupyter Notebook 55.08%

redirekt's Introduction

REdiREKT

Code-base to go with academic paper "REdiREKT: Extracting Malicious Redirections from Exploit Kit Traffic" available @ https://pure.qub.ac.uk/en/publications/redirekt-extracting-malicious-redirections-from-exploit-kit-traff. A short video presentation and tool demo can be found here: https://www.youtube.com/watch?v=DIXRouNfq6E

REdiREKT uses Zeek to process PCAPs and maps HTTP redirections (header and content-based). A combination of HTTP, redirect content-based features are extracted from each domain within a redirect chain and stored (SQLite/JSON/CSV) for future ML-based malware detection research.

PCAPs HAVE NOT BEEN INCLUDED DUE TO SIZE: malicious PCAPs were sourced from malware-traffic-analysis.com and broad-analysis.com, each of which were manually analysed and test cases created. Benign PCAPs were generated with custom Windows 10 honeypot (some code for this is also in repo). If you want a ZIP copy of the verified malicious PCAPs, contact me directly.

I don't currently don't have much time to document the repo but the code should be fairly well commented :) Any major issues/questions then I'll do my best to help if time permits.

UPDATE: Added ML-Training folder with IPython Notebooks and feature sets, to go with academic paper "LSTM RNN: Detecting Exploit Kits using Redirection Chain Sequences" available @ https://pure.qub.ac.uk/en/publications/lstm-rnn-detecting-exploit-kits-using-redirection-chain-sequences. They are a bit of a mess as I often didn't clean up previous cells and lost track of different tasks but hopefully it can still help some future researchers.

If you use some of the code/data in your work, please cite :)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.