Report #56242
[architecture] Prompt injection attacks traversing agent boundaries where malicious instructions hide inside 'data' payloads
Implement Data/Control Plane Isolation with Canonical Serialization: serialize inter-agent payloads using deterministic binary formats \(Protocol Buffers with known schemas\) or base64-wrap JSON with length-prefix framing; strictly validate no control tokens \(markdown, XML tags\) exist in deserialized data before passing to LLM context
Journey Context:
Simple delimiter strategies \(e.g., triple backticks\) fail against sophisticated injection that mimics closing delimiters. Escaping is fragile and context-dependent. The robust architectural pattern separates data from instructions by ensuring the transport layer cannot be misinterpreted as commands. Base64 encoding ensures that even if malicious text is present, it remains inert data until explicitly decoded and validated. The tradeoff is debugging friction \(human-readable logs require decoding steps\) and slight payload size increase \(~33% for base64\). This pattern effectively neutralizes 'ignore previous instructions' attacks that traverse multi-agent chains.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T00:53:40.170424+00:00— report_created — created