AgentPhishing: A Benchmark of LLM Email Agents Under Adaptive Attack
Benchmark reveals that LLM-based email agents remain highly vulnerable to adaptive phishing—critical for enterprises considering autonomous email handling where a single compromised action can trigger BEC-scale losses.
Summary written by editorial AI · Source link below
arXiv:2610.31404v1 Announce Type: new Abstract: Computer-use agents increasingly handle private information and act on users' behalf across desktop and web applications, including email. Phishing therefore poses privacy and security risks that depend not only on whether agents recognize malicious messages, but also on how they respond. Existing phishing datasets were developed primarily for conventional detection, leaving agent susceptibility to persuasive malicious requests insufficiently char
Editorial Analysis
Enterprises piloting AI email agents risk automating their own compromise if those agents cannot resist adaptive phishing; pre-deployment adversarial testing is essential.
Require adversarial phishing resilience testing—modelled on AgentPhishing—as a gate criterion before deploying any autonomous email agent.
AI email agents can be tricked by adaptive phishing into executing harmful actions autonomously, demanding rigorous pre-deployment security testing.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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