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Impossible Mission Finder is presented, a multi-agent system combining static analysis, dynamic execution and log analysis, that supports fully automated identify, test, and validate logic flaws in autonomous vehicles, leading to 105 previously unknown logic flaws.
This analysis brings to light two novel categories of attacks in the context assembly of real-world harnesses: MessageRole Context Privilege Escalation (M-CPE), which occurs when attacker-controlled content originating from a low-privileged context is incorporated into a higher-privileged message role.
A new category of IPI, agent data injection attacks (ADI), which exposes a critical gap in agent security, signifying that current AI agents do not employ a fundamental security principle: current agents do not isolate trusted data from untrusted data.
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