Category: Machine Learning
CHIRON is a home analytics based on ELK stack combined with Machine Learning threat detection framework AKTAION. CHIRON parses and displays data from P0f, Nmap, and BRO IDS. CHIRON is designed for home use...
malwaregan Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior. References to the code The WGAN-GP model trained is based on the code published at here....
Deep-pwning is a lightweight framework for experimenting with machine learning models with the goal of evaluating their robustness against a motivated adversary. Note that deep-pwning in its current state is nowhere close to maturity or completion....
Deep Exploit Fully automatic penetration test tool using Machine Learning. Deep Exploit is fully automated penetration tool linked with Metasploit. Deep Exploit has two exploitation modes. Intelligence mode Deep Exploit identifies the status of all opened...
MADLIRA Malware detection using learning and information retrieval for Android Overview MADLIRA is a tool for Android malware detection. It consists of two components: TFIDF component and SVM learning component. In general, it takes...
PassGAN This repository contains code for the PassGAN: A Deep Learning Approach for Password Guessing paper. The model from PassGAN is taken from Improved Training of Wasserstein GANs and it is assumed that the authors of PassGAN used...
AIEngine is a next-generation interactive/programmable Python/Ruby/Java/Lua and Go network intrusion detection system engine with capabilities of learning without any human intervention, DNS domain classification, Spam detection, network collector, network forensics and many others. AIEngine...