Make Agent Defeat Agent: Automatic Detection of Taint-Style Vulnerabilities in LLM-based Agents
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Presented at USENIX Security 2025 by
Large Language Models (LLMs) have revolutionized software development, enabling the creation of AI-powered applications known as LLM-based agents. However, recent studies reveal that LLM-based agents are highly susceptible to taint-style vulnerabilities, which allow malicious prompts to exploit security-sensitive operations. These vulnerabilities pose severe threats to the security of agents, potentially allowing attackers to take over the entire agent remotely.