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Securing Computer-Use Agents Against Branch Steering Attacks

arXiv cs.CRby Giulio Zingrillo ()1 min read3 · 2 reads
AI summary · glm-5.3Summaries by Vani AI

Branch steering attacks achieve 94.4% success against computer-use agents and 89.5% against Dual-LLM; COBRA architecture cuts success to 0% while keeping 97% utility.

Researchers introduce branch steering attacks, where adversaries craft untrusted web content to coerce computer-use agents down hazardous pre-approved execution branches without explicit injected instructions. The attacks bypass the Dual-LLM pattern's formal guarantees because plans in graphical environments must branch on runtime data. Using STEER-Bench (101 tasks across 9 domains), attacks succeed against 94.4% of standard CUAs and 89.5% of vanilla Dual-LLM CUAs. The proposed COBRA architecture pairs trusted branching plans with ahead-of-time capability constraints, reducing attack success to 0% while retaining 97% benign utility.

Key facts
  • Branch steering succeeds against 94.4% of standard CUAs and 89.5% of vanilla Dual-LLM CUAs
  • Attacks coerce agents down pre-approved branches without explicit instruction injection
  • STEER-Bench spans 101 tasks across 9 domains
  • COBRA bounds branch parameters and destinations, achieving 0% attack success at 97% utility
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From the original article

1 min read at arxiv.org

Modern Computer Use Agents (CUAs) directly interact with graphical user interfaces and execute third-party web tools, exposing them to indirect prompt injection across every rendered page and tool response.

arXiv cs.CR

By Giulio Zingrillo · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.