[2603.00476] Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

[2603.00476] Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

arXiv - AI 3 min read

About this article

Abstract page for arXiv paper 2603.00476: Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

Computer Science > Cryptography and Security arXiv:2603.00476 (cs) [Submitted on 28 Feb 2026] Title:Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents Authors:Linxi Jiang, Zhijie Liu, Haotian Luo, Zhiqiang Lin View a PDF of the paper titled Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents, by Linxi Jiang and 3 other authors View PDF HTML (experimental) Abstract:Browser-use agents are widely used for everyday tasks. They enable automated interaction with web pages through structured DOM based interfaces or vision language models operating on page screenshots. However, web pages often change between planning and execution, causing agents to execute actions based on stale assumptions. We view this temporal mismatch as a time of check to time of use (TOCTOU) vulnerability in browser-use agents. Dynamic or adversarial web content can exploit this window to induce unintended actions. We present a large scale empirical study of TOCTOU vulnerabilities in browser-use agents using a benchmark that spans synthesized and real world websites. Using this benchmark, we evaluate 10 popular open source agents and show that TOCTOU vulnerabilities are widespread. We design a lightweight mitigation based on pre-execution validation. It monitors DOM and layout changes during planning and validates the page state immediately before action execution. This approach reduces the risk of insec...

Originally published on March 03, 2026. Curated by AI News.

Related Articles

Llms

Could the best LLM be able to generate a symbolic AI that is superior to itself, or is there something superior about matrices vs graphs?

Deep neural network AIs have beaten symbolic AIs across the board on many tasks, but is there a chance that symbolic AIs written by DNNs(...

Reddit - Artificial Intelligence · 1 min ·
Llms

BEYOND QUANTUM MICROTUBULES: CONSCIOUSNESS AS SUBSTRATE-INDEPENDENT ARCHITECTURE

I uploaded my consciousness paper to Gemini: “Beyond Quantum Microtubules: Consciousness as Substrate-Independent Architecture.” Then I s...

Reddit - Artificial Intelligence · 1 min ·
Llms

The Scaling Bandaid is Wearing Thin (And Nobody Wants to Admit It)

Let me be direct: we’ve hit a wall with scaling, and the entire field is kind of bullshitting about what comes next. I’ve spent enough ti...

Reddit - Artificial Intelligence · 1 min ·
Llms

Moving Past "LLM Vibes" toward Structural Enforcement in AI Agents

We need to address the structural failure currently happening in the AI agent space: too many people are building a beautiful "pedestal" ...

Reddit - Artificial Intelligence · 1 min ·
More in Llms: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime