Security Training Share
VDiscover VDiscover is a tool designed to train a vulnerability detection predictor. Given a vulnerability discovery procedure and a large enough number of training test cases, it extracts lightweight features to predict which test cases are potentially vulnerable....
Adversarial Robustness Toolbox The Adversarial Robustness Toolbox (ART), an open source software library, supports both researchers and developers in defending deep neural networks against adversarial attacks, making AI systems more secure. Its purpose is...
Aktaion: Open Source Tool For “Micro Behavior Based” Exploit Detection and Automated GPO Policy Generation Aktaion is a lightweight JVM based project for detecting exploits (and more generally attack behaviors). The project is meant...
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....
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...
PyGenerator PyGenerator can fully automatically generate numerous injection codes for detecting web app vulnerabilities. Current PyGenerator’s version is beta. Therefore, it can generate only injection codes of reflected Cross-Site Scripting. Following codes were examples...
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...
GyoiThon GyoiThon is a growing penetration test tool using Machine Learning. It identifies the software installed on the web server (OS, Middleware, Framework, CMS, etc…) based on the learning data. After that, it executes valid exploits for the identified...
Polichombr This tool aims to provide a collaborative malware analysis framework. It was originally presented at SSTIC 2016, Analysis platform Polichombr is designed to help analysts to reverse malware, as a team. It provides an...
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...
SecuML is a Python tool that aims to foster the use of Machine Learning in Computer Security. It is distributed under the GPL2+ license. It allows security experts to train models easily and comes...
