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CVE Watch2 de nov. de 2026

CVE-2026-115916

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-

CVSS

6.5

Média

EPSS

0.3%

p24

KEV

—

Exploit Today

7

0-100

Publicado: 26 de out. de 2026 · Última mod.: 2 de nov. de 2026 · CWE-129 · CWE-193

EPSS · 30d
0.3%EPSS · 30 dias0.3%
2026-10-272026-11-06
Descrição técnica

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.

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