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

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

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Experiments for control-token chain-of-thought suppression and parser-leniency attacks on tool-using LLM agents

Fast and accurate AI powered file content types detection

SAFE embeddings to match functions in yara

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

Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs,…

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources…

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

A network packet forensics tool for SSH

ML-assisted forensic analysis tool that automates memory, disk, and live system triage on Windows using Volatility 3, autorunsc, and sigcheck to…

Python library for local LLM-powered security analysis with Ghidra binary analysis, C/C++ vulnerability scanning, and MCP tool integration for…

A productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs)

Adversarial image perturbation tool that uses SAM segmentation and CLIP models to evade AI-based scam image classifiers for security research.

image scaling attacks for multi-modal prompt injection

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

Static analysis of malicious Python code