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5 papers match

cs.CR2026

Fingerprint-Driven Automation: Coupling Reconnaissance with POC Verification

Hongping Wang, Xiaoqi Li

The paper presents a highly automated tool that combines fingerprint‑driven network reconnaissance with automatic vulnerability detection and verification to improve efficiency and…

#network reconnaissance#vulnerability verification#automation#security tooling
cs.CR2026

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents

Ruoyu Wang, Heng Zhao, Renjie Wu +4

The paper presents AgentSnare, a system that dynamically creates deceptive decoy environments to mislead and delay autonomous penetration testing agents powered by large language m…

#penetration testing#deception#llm agents#dynamic decoys
cs.CR2026

Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation

Mohammad Allahbakhsh, Mohammad Hassan Bahari, Moslem Attar-Raouf

The paper proposes a new way to conduct penetration testing for AI-enabled systems by focusing on inducing undesirable AI-driven behavior that violates operational objectives, rath…

#penetration testing#ai security#adversarial attacks#prompt injection
cs.AI2026

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World

Pedro Conde, Henrique Branquinho, Valerio Mazzone +3

The paper introduces a practical evaluation protocol for AI-driven penetration testing agents that emphasizes validated vulnerability discovery in complex, realistic targets, and p…

#penetration testing#ai agents#benchmarking#vulnerability discovery
cs.CR2026

Baselines Before Architecture: Evaluating Coding Agents for Autonomous Penetration Testing

Ananda Dhakal, Krish Neupane, Aarjan Chaudhary

The paper conducts a controlled evaluation of plain coding agents versus specialized penetration‑testing architectures on the XBOW benchmark, showing that baseline agents already s…

#penetration testing#large language models#coding agents#benchmark evaluation