Cloudflare has disclosed a critical vulnerability in its Workers AI deployment of GLM-5.3 that allowed prompts from one user to be leaked to another. The issue stemmed from a misconfiguration where the model's context window exceeded the capacity of its KV cache, and a bug in SGLang's error handling caused rejected requests to be processed as if they were valid. This resulted in up to 155 affected responses, where a significant portion of the generated text was derived from previous users' data, effectively continuing their sessions. AI
IMPACT Highlights critical infrastructure risks in LLM deployments and the need for rigorous validation of context window and cache management.
RANK_REASON Disclosure of a specific bug and its reproduction in a deployed LLM service.
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