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CVE-2026-105757 Details

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.

Metrics

CVSS 3.x Severity and Vector Strings:

CNA: [email protected]CVSS-B:6.5 MEDIUMVector:CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References to Advisories, Solutions, and Tools

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URL	Source(s)	Tag(s)
https://github.com/vllm-project/vllm/commit/c55e15a44ec4127832d4a86928a356fdd9e68dbd	[email protected]
https://github.com/vllm-project/vllm/pull/51450	[email protected]
https://github.com/vllm-project/vllm/releases/tag/v0.30.0	[email protected]
https://github.com/vllm-project/vllm/security/advisories/GHSA-85xf-c7hm-whqw	[email protected]

Weakness Enumeration

CWE-ID	CWE Name	Source
CWE-20	Improper Input Validation	[email protected]
CWE-248	Uncaught Exception	[email protected]
CWE-755	Improper Handling of Exceptional Conditions	[email protected]

Affected Products

No affected product data is available for this CVE.

Change History

1 change record found show changes