Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, …
Eyeballer – Convolutional Neural Network For Analyzing Pentest Screenshots
Eyeballer is meant for large-scope network penetration tests where you need to find “interesting” targets from a huge set of …
CyberBattleSim – An Experimentation And Research Platform To Investigate The Interaction Of Automated Agents In An Abstract Simulated Network Environments
CyberBattleSim is an experimentation research platform to investigate the interaction of automated agents operating in a simulated abstract enterprise network …
Columbo – A Computer Forensic Analysis Tool Used To Simplify And Identify Specific Patterns In Compromised Datasets
Columbo is a computer forensic analysis tool used to simplify and identify specific patterns in compromised datasets. It breaks down …
packetStrider – A Network Packet Forensics Tool For SSH
packetStrider for SSH is a packet forensics tool that aims to provide valuable insight into the nature of SSH traffic, …
Batea – AI-based, Context-Driven Network Device Ranking
Batea is a context-driven network device ranking framework based on the anomaly detection family of machine learning algorithms. The goal …
Pesidious – Malware Mutation Using Reinforcement Learning And Generative Adversarial Networks
Malware Mutation using Deep Reinforcement Learning and GANs The purpose of the tool is to use artificial intelligence to mutate …
uriDeep – Unicode Encoding Attacks With Machine Learning
Unicode encoding attacks with machine learning. Tool based on machine learning to create amazing fake domains using confusables. Some domains …