
offensive-ai-compilation
A curated list of useful resources that cover Offensive AI.

A curated list of useful resources that cover Offensive AI.

🐢 Open-Source Evaluation & Testing library for LLM Agents

A collection of awesome resources related AI security

Curated collection of LLM jailbreak prompts and bypass techniques, documenting adversarial inputs that circumvent AI model safety guardrails.

Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and…

Improve your security and privacy by blocking ads, tracking and malware domains.

Set of tools to assess and improve LLM security.

:cloud: :zap: Granular, Actionable Adversary Emulation for the Cloud

A comprehensive guide to adversarial testing and security evaluation of AI systems, helping organizations identify vulnerabilities before attackers…

The AI Security Verification Standard (AISVS) focuses on providing developers, architects, and security professionals with a structured checklist to…

Adversary Emulation Framework

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

Exploits the Windows Server 2025 dMSA privilege escalation vulnerability to enumerate writable OUs, escalate to arbitrary domain users, extract…

An alignment auditing agent capable of quickly exploring alignment hypothesis

Research code for measuring jailbreak attack success rates (ASR and stepwise ASR) against LLMs, with implementations of attacks such as GCG and…

Hardware Breakpoint (DR0-DR7) based patch-less user-mode hooking & telemetry instrumentation engine (AMSI, WLDP & ETW PoC).

Red-teaming benchmark and black-box attack framework for evaluating visual misinformation risks in commercial image generators, with 10k false-claim…