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CVE-2026-105757: vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-outpu…

Occurred
Oct 5, 2026
Published
Oct 5, 2026
Source
NVD CVE

Summary

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.

Tags

  • CVE
  • CVE-2026-105757
  • cvss:MEDIUM

Classification

Category confidence: 90%
Severity confidence: 85%

Rationale: CVE describes structured-output request failures in vLLM inference engine causing engine termination.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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