AI RESEARCH
An Application-Layer Multi-Modal Covert-Channel Reference Monitor for LLM Agent Egress
arXiv CS.AI
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ArXi:2605.20734v1 Announce Type: cross A large language model (LLM) agent that sends messages can leak data inside them. Destination allowlists and content scanners do not police whether an otherwise-benign payload is itself a covert channel: a compromised agent encodes bits in zero-width characters, homoglyphs, whitespace, base64, JavaScript Object Notation (JSON) key ordering, message timing or size -- and, in binary egress, in least-significant-bit (LSB) pixel planes, per-image mean luminance, inter-image sequence permutation, ultrasonic tones, or audible-band sonified data.