Cover Image

AutoPentester: An LLM Agent-based Framework for Automated Pentesting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ginige, Yasod, Niroshan, Akila, Jain, Sajal, Seneviratne, Suranga
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis
by: Ginige, Yasod, et al.
Published: (2026)

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents
by: Henke, Julius
Published: (2025)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
by: Niroshan, Akila, et al.
Published: (2025)

ARACNE: An LLM-Based Autonomous Shell Pentesting Agent
by: Nieponice, Tomas, et al.
Published: (2025)

PentestJudge: Judging Agent Behavior Against Operational Requirements
by: Caldwell, Shane, et al.
Published: (2025)

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World
by: Conde, Pedro, et al.
Published: (2026)

Hacking, The Lazy Way: LLM Augmented Pentesting
by: Goyal, Dhruva, et al.
Published: (2024)

PentestMCP: A Toolkit for Agentic Penetration Testing
by: Ezetta, Zachary, et al.
Published: (2025)

PentestAgent: Incorporating LLM Agents to Automated Penetration Testing
by: Shen, Xiangmin, et al.
Published: (2024)

A Preliminary Study on Using Large Language Models in Software Pentesting
by: Shashwat, Kumar, et al.
Published: (2024)

PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design
by: Yang, Ruozhao, et al.
Published: (2025)

Towards Automated Pentesting with Large Language Models
by: Bessa, Ricardo, et al.
Published: (2026)

Generative Artificial Intelligence-Supported Pentesting: A Comparison between Claude Opus, GPT-4, and Copilot
by: Martínez, Antonio López, et al.
Published: (2025)

PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation
by: Huang, Junjie, et al.
Published: (2024)

PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store
by: Silva, Bhanuka, et al.
Published: (2026)

Eliciting Least-to-Most Reasoning for Phishing URL Detection
by: Trikilis, Holly, et al.
Published: (2026)

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)

AutoBackdoor: Automating Backdoor Attacks via LLM Agents
by: Li, Yige, et al.
Published: (2025)

secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python
by: Demetrio, Luca, et al.
Published: (2021)

Building an Open Source Operational Technology Pentesting Platform: Lessons from LINICS
by: Rashid, Awais, et al.
Published: (2026)

RapidPen: Fully Automated IP-to-Shell Penetration Testing with LLM-based Agents
by: Nakatani, Sho
Published: (2025)

Blockchain Signatures to Ensure Information Integrity and Non-Repudiation in the Digital Era: A comprehensive study
by: Banerjee, Kaveri, et al.
Published: (2025)

SHIELD: An Auto-Healing Agentic Defense Framework for LLM Resource Exhaustion Attacks
by: Sivaroopan, Nirhoshan, et al.
Published: (2026)

Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
by: Wickramasekara, Akila, et al.
Published: (2024)

Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
by: Van Woensel, William, et al.
Published: (2024)

SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting
by: Tseng, Kuan-Hao, et al.
Published: (2026)

A Framework for Formalizing LLM Agent Security
by: Siu, Vincent, et al.
Published: (2026)

Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks
by: Sahu, Anubhab, et al.
Published: (2026)

LLM-Driven Auto Configuration for Transient IoT Device Collaboration
by: Shastri, Hetvi, et al.
Published: (2025)

AutoPenBench: Benchmarking Generative Agents for Penetration Testing
by: Gioacchini, Luca, et al.
Published: (2024)

A Framework to Assess Multilingual Vulnerabilities of LLMs
by: Tang, Likai, et al.
Published: (2025)

Taxonomy, Evaluation and Exploitation of IPI-Centric LLM Agent Defense Frameworks
by: Ji, Zimo, et al.
Published: (2025)

DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
by: Zhu, Pengyu, et al.
Published: (2025)

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
by: Zhang, Hanrong, et al.
Published: (2024)

Pentesting LLM Models With an Automated Framework
by: Juan Luis López-Delgado, et al.
Published: (2026)

ToolTweak: An Attack on Tool Selection in LLM-based Agents
by: Sneh, Jonathan, et al.
Published: (2025)

MALCDF: A Distributed Multi-Agent LLM Framework for Real-Time Cyber
by: Bhardwaj, Arth, et al.
Published: (2025)

SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents
by: Ouyang, Yipeng, et al.
Published: (2026)

SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
by: Tavallaie, Omid, et al.
Published: (2024)

Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment
by: Chin, Jia Hui, et al.
Published: (2025)