Agentic browsers are vulnerable to 20 web and LLM attacks with 18 implemented, exposing five failure modes across four major LLM models that require redesign before safe deployment.
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UNVERDICTED 2representative citing papers
Multi-layer fingerprinting distinguishes LLM web agents from humans and each other while some agents bypass tested anti-bot mechanisms.
citing papers explorer
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WAAA! Web Adversaries Against Agentic Browsers
Agentic browsers are vulnerable to 20 web and LLM attacks with 18 implemented, exposing five failure modes across four major LLM models that require redesign before safe deployment.
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On the Internet, Nobody Knows You're an LLM Bot: Unmasking Web Agents with Multi-Layer Fingerprinting
Multi-layer fingerprinting distinguishes LLM web agents from humans and each other while some agents bypass tested anti-bot mechanisms.