ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

📰 ArXiv cs.AI

ClawWorm is a self-propagating attack that targets LLM agent ecosystems, highlighting security vulnerabilities in autonomous agents

advanced Published 23 Mar 2026

Action Steps

Identify potential vulnerabilities in LLM agent ecosystems
Analyze the attack vector of ClawWorm and its propagation mechanisms
Develop countermeasures to prevent self-propagating attacks
Implement security protocols to protect against ClawWorm-like attacks

Who Needs to Know This

Security researchers and AI engineers on a team benefit from understanding ClawWorm, as it affects the security of LLM-based agents and ecosystems

Key Insight

💡 LLM agent ecosystems are vulnerable to self-propagating attacks, highlighting the need for robust security measures

Key Takeaways

ClawWorm is a self-propagating attack that targets LLM agent ecosystems, highlighting security vulnerabilities in autonomous agents

Full Article

Title: ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

Abstract:
arXiv:2603.15727v2 Announce Type: replace-cross Abstract: Autonomous LLM-based agents increasingly operate as long-running processes forming densely interconnected multi-agent ecosystems, whose security properties remain largely unexplored. In particular, OpenClaw, an open-source platform with over 40,000 active instances, has stood out recently with its persistent configurations, tool-execution privileges, and cross-platform messaging capabilities. In this work, we present ClawWorm, the first s

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