
PentestGPT
Automated Penetration Testing Agentic Framework Powered by Large Language Models

Automated Penetration Testing Agentic Framework Powered by Large Language Models


Agentic jailbreak framework for LLM-based agents using scheme-based task decomposition, multi-turn disguising strategies, and adaptive self-evolution…

Evolutionary LLM jailbreak and guardrail framework that grows a reusable strategy pool via genetic mutation, Markov selection, and online adversarial…

Reverse engineering framework with disassembly, decompilation, taint analysis, version diffing and semantic search, plus LLM-driven autonomous binary…

OWASP framework cataloging the top 10 security risks in neocloud and AI data center infrastructure, covering hardware, networking, isolation,…

Agentic Framework for Synthesizing CodeQL Queries

Framework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…

Code deobfuscation framework to simplify Mixed Boolean-Arithmetic (MBA) expressions

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

Open framework for RL-based prompt injection red teaming, with a shared trainer, curriculum learning, and benchmarks like AgentDojo, InjecAgent, and…

A comprehensive, step-by-step guide to mastering cybersecurity from beginner to expert level with curated resources, tools, and career guidance

Defender framework for LLM agent security that compiles task contracts, validates capability manifests, and checks effects via PLANT/WRAP proof…

LLM-driven agentic group shilling attack framework that manipulates black-box collaborative-filtering recommender rankings using adaptive multi-role…

Research implementation of Hop-Decayed Influence (HDI) and the 3S attack framework, exposing structural auxiliary indexing vulnerabilities in…

Defense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…

Adversarial image attacks on vision-language web agents, from visual grounding to browser execution

Fine-tuning framework that applies first-order optimal safety calibration and periodic recalibration to LLMs, preserving safety-compatible updates…