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CVE-2026-105757

6.5 Moyenne

Publiée le 06/10/2026 à 01:17 · Modifiée le 08/10/2026 à 03:28 · Analysée par le NVD · Source : security-advisories@github.com

Description

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.

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Scores CVSS

VersionScoreSourceVecteur
3.1 6.5 Moyenne security-advisories@github.com CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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