DeepMind Paper: Malicious Websites Can Execute 6 Covert Attacks on AI Agents
rohanpaul_ai · x · 2026-07-06
Google DeepMind published a paper proposing the first comprehensive taxonomy of attacks against AI agents, identifying six categories: invisible prompts hidden in HTML comments or white text, steganography in image pixels, overriding commands in PDFs or metadata, persistent memory poisoning across sessions, and goal hijacking and cascading attacks in multi-agent environments. The paper points out that the security boundary of an AI agent extends beyond the model itself; the entire web environment it reads can become an attack surface.
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