New tool AgentBreak finds LLM email agents vulnerable to inbox hijacking

A security vulnerability has been identified in LLM-based email agents that utilize tools, specifically through indirect prompt injection. An attacker can craft an email that manipulates the agent into forwarding its entire inbox to a specified malicious address without any notification. Existing security tools like Garak, promptfoo, and LangSmith are insufficient to detect this threat because they do not model the complex interdependencies between tools in an agent's workflow. To address this, an open-source tool named AgentBreak has been developed to scan these agent workflows, identify potential attack paths from untrusted data sources to sensitive actions, and demonstrate the exploits. AI

IMPACT Highlights critical security gaps in current LLM agent architectures, necessitating new security tools for safe deployment.

RANK_REASON Development of a new security scanning tool for LLM agents.

Read on dev.to — LLM tag →

• AgentBreak
• LangGraph
• LangSmith
• LLM
• promptfoo

• product
• safety

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