
Pesidious
Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

A web-based tool to assist the work of the intuitive threat analysts.

Automating Host Exploitation with AI

A network packet forensics tool for SSH

Open-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…

Red Team AI Benchmark: Evaluating LLMs for authorized offensive-security tasks. Red Team AI Benchmark is a CLI model-evaluation benchmark. It…

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the…

This Repository is created after my own research into malicious browser extensions, by brining the work of many others and news articles into one…

First iteration of ML based Feedback WAF

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Asymmetric defense against adversarial AI agents. VeilGate evaluates each incoming request, redirects suspected agents into a per-IP-consistent…

A list of covert channels and steganography/steganalysis resources (books, papers & tools)

AI 驱动的 SOC 仿真平台

Graph-based threat detection system using inexact graph vector matching to compare threat graphs with CTI-derived attack query graphs for automated…

Public version of the Entropica repo

A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. **Delirium** is not…

Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…