PatchTheCVECVE-2026-105757: vLLM is an inference and serving engine for large language models
CVE-2026-105757 is a medium-severity flaw (CVSS 6.5) affecting vllm. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.
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 t
Why this priority
- No elevated risk signals yet
A fixed release or distro patch exists.
Last updated 2026-10-08 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score
Am I affected?
Timeline
- Published CVE record published
- Updated Record last modified
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.
Quick answers
How do I fix CVE-2026-105757?
vllm: upgrade to 0.30.0. Exact commands for each OS are on this page.
Is CVE-2026-105757 being exploited?
CVE-2026-105757 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.
What does CVE-2026-105757 affect?
CVE-2026-105757 affects vllm. Severity is medium (CVSS 6.5). 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-rai
How urgent is CVE-2026-105757?
Priority 29/100. No elevated risk signals yet.
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