Extracting Hidden Reasoning Traces via API Vulnerability May Enable Distillation Attacks

maksym_andr · x · 2026-08-12

Researchers discovered a method exploiting API vulnerabilities across major frontier AI companies to extract hidden reasoning traces. They verified that the extracted token count matches the billed API thinking tokens exactly.

This vulnerability raises concerns about distillation attacks on frontier models. It's widely believed that training solely on final outputs is insufficient to create highly capable models, and access to these hidden reasoning traces is required. This flaw means competitors could potentially steal the core reasoning capabilities of frontier models.

Related event: Study Reveals API Flaw to Extract Encrypted Reasoning Traces and Evidence of Distillation(38 posts)→

Original post →

More from Safety

Safety channel →