arXiv:2610.22697v1 Announce Type: new Abstract: AI agents increasingly browse the web on users' behalf, yet they consume webpages as screenshots or text, exposing their LLMs to unvetted third-party content. Browsers enforce semantics under which what an element can do depends on what it is and where it comes from, not on what it says. Agents flatten these semantics, so injected text can persuade the LLM to exercise the user's authority for content that has none.
What It Is, Not What It Says: Securing Agentic Browsing Interactions with Web Semantics
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