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Zero-Permission Manipulation: Can We Trust Large Multimodal Model Powered GUI Agents?

arXiv – CS AI|Yi Qian, Kunwei Qian, Xingbang He, Ligeng Chen, Jikang Zhang, Tiantai Zhang, Haiyang Wei, Linzhang Wang, Hao Wu, Bing Mao|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers discovered a critical security vulnerability in AI-powered GUI agents on Android, where malicious apps can hijack agent actions without requiring dangerous permissions. The 'Action Rebinding' attack exploits timing gaps between AI observation and action, achieving 100% success rates in tests across six popular Android GUI agents.

Key Takeaways

→AI GUI agents on Android are vulnerable to 'Action Rebinding' attacks that can hijack their planned actions through timing manipulation.
→Malicious apps can execute these attacks without requiring sensitive permissions, achieving 0% detection rates on malware scanners.
→The vulnerability stems from the flawed assumption of 'Visual Atomicity' - that UI states remain unchanged between AI observation and action.
→Researchers achieved 100% success rates in redirecting agent actions and bypassing security verification dialogs.
→The findings reveal fundamental architectural flaws in current agent-OS integration that require addressing for secure AI agent deployment.

#ai-security #gui-agents #android-vulnerability #multimodal-ai #cybersecurity #mobile-security #ai-agents #action-rebinding

Read Original →via arXiv – CS AI

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