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Stealing Reasoning Traces from Proprietary LLM APIs
research.snyk.io · saved by 1 readers
We find that encrypted chain-of-thought blocks are interchangeable across sessions with most LLM providers. This allows attackers to replay a frontier model trace into a weaker, jailbroken sibling which recovers the hidden reasoning verbatim, enabling distillation, large-scale extraction of private data such as secrets and PII from agent logs, safety violations, and invisible prompt injection.
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