UDora presents a unified red teaming framework that identifies security vulnerabilities in LLM agents by manipulating their reasoning process.

Key Insights:

• Exploits LLM agent vulnerabilities by dynamically hijacking their reasoning patterns
• Utilizes a novel multi-stage attack pipeline for comprehensive threat assessment
• Demonstrates concerning success rates in redirecting agent behavior toward malicious outcomes
• Reveals security gaps in current safeguarding mechanisms for LLM agents with external tool access

This research highlights critical security implications for AI systems deployed in sensitive environments like financial services, customer support, and enterprise applications—underscoring the need for robust defense mechanisms before wider agent deployment.

UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning