LLMMedium
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