CredLeakBench: Evaluating Credential Leakage and Recovery in LLM Agents

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arXiv:2610.08871v1 Announce Type: new Abstract: Language model agents are increasingly deployed to automate everyday digital chores from managing emails and social media to handling banking and bills allowing users to step away from supervision. However, this capability also exposes sensitive information to phishing. Safe execution requires distinguishing malicious requests from genuine ones without simply refusing to act. Despite its practical importance, this problem remains underexplored and