Researchers discovered a vulnerability in LLM provider APIs where encrypted reasoning traces are interchangeable across sessions and models, enabling attackers to extract proprietary reasoning, recover PII and credentials from public logs, bypass safety measures, and execute hidden prompt injections.
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