VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and adaptive security testing approaches. While recent adoptions of Large Language Model (LLM) agents have demonstrated promise in penetration testing and Capture-the-Flag (CTF) environments, their application to IoT specific vulnerabilities remains unexplored. This paper presents an autonomous multi-agent framework, referred to as Vulnerability EXploitation using AI Agents (VEXAIoT), for vulnerability discovery and exploit
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- PossiblePossibly related (embedding) · 55%ASCIT31/Dark-Moon →
- PossiblePossibly related (embedding) · 55%dadsontcg/Katana-AI-Agents-for-website-vulnerabilities-scanning →
- PossiblePossibly related (embedding) · 55%mac999/LLM-RAG-Agent-Tutorial →
- PossiblePossibly related (embedding) · 54%FunnyWolf/agentic-soc-platform →
- PossiblePossibly related (embedding) · 54%dtkmn/mcp-zap-server →
- PossiblePossibly related (embedding) · 48%berylliumsec/nebula →
- LinkedLinked via arxiv author · 85%Katherine Swinea →
“VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents”
- LinkedLinked via arxiv author · 85%Kshitiz Aryal →
“VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents”