CVE•Published 2026-10-05•Modified 2026-10-08•0 articles on news•5 live references•NVD data

CVE-2026-105757Vllm · Vllm

Vulnerability data via NVD (ingested)

CVSS v3.1
6.5
MEDIUM
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS percentile
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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.

Timeline
Published 2026-10-05
Modified 2026-10-08

External references

Search for exposed instances

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More intel sources (5)

Known PoCs on GitHub

No public proof-of-concept repositories found for CVE-2026-105757 on GitHub.
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