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CVE-2026-115916: vLLM is an inference and serving engine for large language models. Prior to 0.32.0, vllm/tokenizers/…

Occurred
Oct 26, 2026
Published
Oct 26, 2026
Source
NVD CVE

Summary

vLLM is an inference and serving engine for large language models. Prior to 0.32.0, vllm/tokenizers/hf.py computes max_token_id with an off-by-one upper bound, allowing a pre-tokenized prompt ID equal to the vocabulary size to pass validation. For a tensor-parallel size of one and an exact multiple-of-64 vocabulary, VocabParallelEmbedding.forward does not mask that value before F.embedding uses it, causing a CUDA device-side assertion and terminating the engine. This issue is fixed in version 0.32.0.

Tags

  • CVE
  • CVE-2026-115916
  • cvss:MEDIUM

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: vLLM inference engine bug causes CUDA assertion failure in LLM serving, fixed in version 0.32.0.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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