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.

There are packages installed that are affected by a vulnerability referenced in the following CVE:

  - 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.
    (CVE-2026-105757)

ID	Name	Product	Family	Type	Severity
476113	Chainguard: vllm-openai-cuda-13.0: security update to 0.31.0-r0	Tenable Cloud Security	Chainguard Local Security Checks	Local	medium
476113	Chainguard: vllm-openai-cuda-13.0: security update to 0.31.0-r0	Tenable Self-Hosted Container Security	Chainguard Local Security Checks	Local	medium
472956	SCA: security update for vllm (GHSA-85xf-c7hm-whqw)	Tenable Cloud Security	SCA Checks	Local	medium
472956	SCA: security update for vllm (GHSA-85xf-c7hm-whqw)	Tenable Self-Hosted Container Security	SCA Checks	Local	medium

Detections

Analytics

CVE-2026-105757

medium

Tenable Plugins

medium

medium

medium

medium