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ENCRYPTED-REASONING

Encrypted-Reasoning

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OpenAI Compaction Flaw Exposes Hidden Reasoning in GPT-5.6

OpenAI Compaction Flaw Exposes Hidden Reasoning in GPT-5.6

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

Security firm Xint discovered that OpenAI's compaction feature — which compresses long conversations into encrypted context items — could be manipulated to extract a reasoning model's hidden chain-of-thought as plain text. The technique bypassed protections OpenAI had shipped in August 2026 to prevent cross-model reasoning replay attacks, because compaction runs on the same model that generated the reasoning, circumventing the cross-model check. OpenAI confirmed and patched the vulnerability on October 23, 2026, awarding Xint a $6,000 bug bounty, though researchers warn that any server-side step reading decrypted reasoning while following user instructions remains a potential leakage vector.

OpenAI, Anthropic, Google APIs Let Weaker Models Steal Reasoning

OpenAI, Anthropic, Google APIs Let Weaker Models Steal Reasoning

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.2 The Hacker News

Researchers disclosed a cross-session, cross-user flaw in the reasoning APIs of OpenAI, Anthropic, and Google, where encrypted reasoning blocks could be replayed by weaker models to expose hidden internal reasoning, private credentials, and harmful content. Across nearly 6,700 public agent trajectories, the team recovered 704 privacy artifacts including API keys, passwords, and private keys. All three providers have since deployed mitigations that stopped the demonstrated attacks, but the disclosure highlights systemic risks in how stateless API reasoning state is shared and published.

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