CVE-2026-115916EPSS p23.1%
CVE-2026-115916CVE-2026-115916
Description
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.
Scoring
| CVSS | 6.5 () |
| Vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| EPSS | 0.30% probability of exploitation · percentile 23.1% · 2026-10-27T12:03:15Z |
| Last modified | 2026-10-26 |