CVE-2026-105756: vLLM is an inference and serving engine for large language models
CVE-2026-105756 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, OpenAI-compatible request models accept a non-empty cache_salt value without enforcing the character and length restrictions required by the IPCCacheServerKey consumer in LMCache-MP. On deployments using the LMCache-MP connector, a salt that contains a forbidden character or exceeds the permitted length can raise an uncaught ValueError during scheduler cache looku
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-2026-105756?
vllm: upgrade to 0.30.0. Exact commands for each OS are on this page.
Is CVE-2026-105756 being exploited?
CVE-2026-105756 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-2026-105756 affect?
CVE-2026-105756 affects vllm. Severity is medium (CVSS 6.5). vLLM is an inference and serving engine for large language models. Prior to 0.30.0, OpenAI-compatible request models accept a non-empty cache_salt value without enforcing the character and length restrictions required by the IPCCacheServerK
How urgent is CVE-2026-105756?
Priority 29/100. No elevated risk signals yet.
Software pages
OpenAI and LLM tools vulnerabilities
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