mr-un1k0d3r/windows-signedbinaryMutates signed Windows binaries to retain valid catalog signatures while changing file hashes, bypassing hash-based endpoint blocks and exposing…
george0papasotiriou/cve-2026-22016-ipfs-cid-spoofing-via-multihash-length-extensionPython proof-of-concept demonstrating IPFS CID spoofing via multihash length extension, highlighting content-addressing verification flaws that can…
george0papasotiriou/cve-2026-21019-kubernetes-cronjob-suspended-execution-via-time-manipulationReproduces CVE-2026-21019 by manipulating node clock to force early Kubernetes CronJob execution; includes vulnerable YAML manifest and Python…
promptfoo/promptfooTest your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and…
nvidia/garakModular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…
yzhao062/pyodA Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine…
meta-llama/purplellamaSet of tools to assess and improve LLM security.
bc-security/empireEmpire is a post-exploitation and adversary emulation framework that is used to aid Red Teams and Penetration Testers.
microsoft/pyritOpen-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…
cleverhans-lab/cleverhansAn adversarial example library for constructing attacks, building defenses, and benchmarking both
trusted-ai/adversarial-robustness-toolboxPython library for adversarial machine learning security, enabling red and blue teams to run evasion, poisoning, extraction, and inference attacks…
13o-bbr-bbq/machine_learning_securitySource code about machine learning and security.
funnywolf/viperAdversary simulation and Red teaming platform with AI
microsoft/responsible-ai-toolboxInteractive dashboards and libraries for responsible AI model debugging, covering error analysis, fairness, interpretability, counterfactuals, causal…
s3n4t0r-0x0/apts-adversary-simulationThis repository contains detailed adversary simulation APT campaigns targeting various critical sectors. Each simulation includes custom tools, C2…
trusted-ai/aix360Interpretability and explainability of data and machine learning models
sensity-ai/dotReal-time deepfake toolkit for penetration testing of identity verification and video conferencing systems. Supports face swap, image animation, and…
trusted-ai/aif360A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in…
