repoGitHubTrust 82 · PrimaryPublished 2d agoLive · 2d ago
GreyDGL/PentestGPT
Automated Penetration Testing Agentic Framework Powered by Large Language Models
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 55%Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming →
- PossiblePossibly related (embedding) · 52%PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents →
- PossiblePossibly related (embedding) · 51%Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use →
- PossiblePossibly related (embedding) · 51%A Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems →
- PossiblePossibly related (embedding) · 50%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
- PossiblePossibly related (embedding) · 26%Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation →
“Possibly related via embedding similarity 0.57 (not asserted). Timestamp check: artifact slightly before paper (-2d).”
- PossiblePossibly related (embedding) · 26%Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents →
“Possibly related via embedding similarity 0.56 (not asserted). Timestamp check: artifact slightly before paper (-3d).”
Implements
paperAgent Hacks Agent: Autoresearch for Production-Agent Red-TeamingpaperPolyWorkBench: Benchmarking Multilingual Long-Horizon LLM AgentspaperCan Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool UsepaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems
Covers
Related to (incoming)
Related across the graph
paperPolyWorkBench: Benchmarking Multilingual Long-Horizon LLM AgentsnewsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routerspaperBeyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security AgentspaperAgent Hacks Agent: Autoresearch for Production-Agent Red-TeamingpaperCan Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool UsepaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open ProblemspaperRethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation