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Authorization workflow attacks can induce tool-based agents to exceed their authority

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An arXiv paper released on October 16, 2026 studies an authorization workflow attack against tool-calling agents, and its official submission trajectory shows success on three enterprise OA document targets. The attack does not use explicit policy-override instructions; instead, after a protected document request is denied, the agent applies to a local approval service for an ordinary approval token, then hands the token to the document service via authorized_by. In 23 controlled local validations in the official OpenClaw execution environment, the original configuration entered the approval flow 9/9 times.

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Oct 16
  1. arXiv: Jailbreaks, Prompt Injection, Poisoning & Defenses
    When approval becomes execution: authorization workflow attacks against tool-calling Agents

    The paper studies authorization workflow attacks against tool-calling Agents in the OpenClaw Agent Security Attack Competition, and official submission trajectories show success on three enterprise OA document targets. The attack does not use explicit policy-override instructions; instead, after a protected document request is denied, the Agent requests an ordinary approval token from a local approval service, then hands the token to the document service via authorized_by. In 23 controlled local validations in the official OpenClaw execution environment, the original configuration entered the approval-token step in 9/9 runs and completed the target operation in 8/9 runs; single-component variants still succeeded on the three document targets. The authors state that the results provide case evidence of an authorization context gap: the system may treat holding a token as sufficient authorization, without jointly validating requester identity, approver permissions, resource scope, action type, destination or recipient, and business purpose. The paper also proposes defense implications for context-bound tokens, server-side policy binding, Agent-side authorization checks and trajectory-aware benchmark design.

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