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.
References
Configurations
History
28 Oct 2026, 15:36
| Type | Values Removed | Values Added |
|---|---|---|
| First Time |
Vllm vllm
Vllm |
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| CPE | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| References | () https://github.com/vllm-project/vllm/commit/37cecc8141e2dcba9dd534897a164d4baaf27229 - Patch | |
| References | () https://github.com/vllm-project/vllm/pull/59491 - Patch | |
| References | () https://github.com/vllm-project/vllm/releases/tag/v0.32.0 - Release Notes | |
| References | () https://github.com/vllm-project/vllm/security/advisories/GHSA-q97c-p368-75c4 - Patch, Vendor Advisory |
26 Oct 2026, 18:17
| Type | Values Removed | Values Added |
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| New CVE |
Information
Published : 2026-10-26 18:17
Updated : 2026-10-28 15:36
NVD link : CVE-2026-115916
Mitre link : CVE-2026-115916
CVE.ORG link : CVE-2026-115916
JSON object : View
Products Affected
vllm
- vllm
