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Agent Control Flash News·· 1 小时前AI 评分40

Microsoft SPIDES:浏览器代理安全防护新策略

浏览器 agent 别指望靠 SOP 救命:Microsoft SPIDES,MicroNet 设计性 0% ASR

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AI 导读

恢复同源策略既不够(同源公开槽也能泄私)也不必要(合法任务需要授权跨域流)。

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Abstract:Browser agents automate complex workflows by reading and acting on arbitrary page content, but this flexibility exposes them to prompt injection attacks and unintended data exfiltration. Recent work argues that LLM-driven browser agents erode traditional web security boundaries such as the Same-Origin Policy (SOP) by acting across origins with the user's authority and no built-in isolation. We argue that restoring SOP is neither sufficient (a same-origin public sink can leak private data) nor necessary (legitimate tasks require authorized cross-origin flows) for protecting the security of users. We propose SPIDES, which instead enforces information-flow control by gating primitive browser actions such as typing, clicking and navigating on labels propagated from element-level HTML confidentiality and integrity annotations. Untrusted and confidential content is masked from the agent's context, while policies block unauthorized flows, providing security guarantees against both prompt injection and data exfiltration that hold independently of the model driving the agent. To evaluate SPIDES and baseline defenses under a common threat model, we build MicroNet, a closed ecosystem of 28 interlinked websites with element-level ground-truth labels and paired benign/adversarial tasks. SPIDES achieves 0% attack success rate by design while retaining high task completion rate and autonomy. Our findings demonstrate that information-flow control is an effective technique to extend web security to browser agents, gaining on autonomy and utility against state-of-the-art baselines. The source code and data are openly accessible at this https URL.
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.24277 [cs.CR]
  (or arXiv:2610.24277v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2610.24277

arXiv-issued DOI via DataCite

Submission history

From: Juhee Kim [view email]
[v1] Fri, 16 Oct 2026 22:12:45 UTC (135 KB)

来源:Agent Control Flash News · arxiv.org

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