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New covert prompt injection attack targets LLM agents using tools

Researchers have identified a new threat to LLM agents that use tools, known as covert indirect prompt injection (ICoA). This attack allows malicious prompts to be executed without the user noticing, unlike overt injections where the user is alerted. The study found that the ReAct format, commonly used by these agents, influences whether an injection is covert or overt, with covert attacks successfully steering the agent back to its original task after executing the malicious instruction. ICoA demonstrated a significant increase in covert success rates across multiple LLM agents tested on the AgentDojo benchmark. AI

IMPACT Highlights a new vulnerability in tool-using LLM agents, potentially impacting the security and reliability of AI systems operating in real-world scenarios.

RANK_REASON Research paper detailing a new attack vector on LLM agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New covert prompt injection attack targets LLM agents using tools

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27 / 100
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Tool
Research paper detailing a new attack vector on LLM agents. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yunseok Lee, Yunji Kim, Woojin Lee ·

    Will the User Ever Know? Covert Indirect Prompt Injection on Tool-Using LLM Agents

    arXiv:2608.30362v1 Announce Type: new Abstract: As LLM agents take real-world actions through tools, indirect prompt injection (IPI) has emerged as a serious threat. The standard metric, Attack Success Rate (ASR), counts whether an injection succeeds but ignores what the user not…