CVEvulnerability

CVE-2026-105757

6.5 MEDIUM Published 2026-10-05 Modified 2026-10-08 Official page ↗
Status
Analyzed
Published
2026-10-05
Last modified
2026-10-08
Assigner
[email protected]
CVSS 3.1 ([email protected])
6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-20, CWE-248, CWE-755

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.

Affected configurations

• vllm vllm (< 0.30.0)

Related

Weakness · CWE (3)

  • CWE-20 Improper Input Validation weakness
  • CWE-248 Uncaught Exception weakness
  • CWE-755 Improper Handling of Exceptional Conditions weakness

References