mediumCVSS 6.5NVD status: Analyzed

CVE-2026-105756

vLLM is an inference and serving engine for large language models.

ComponentvLLM
Severitymedium (CVSS 6.5)
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Published (NVD)2026-10-05
Last modified2026-10-08
Affected versions
vllm < 0.30.0
Fixed in0.30.0
WeaknessCWE-20CWE-248
CISA KEVnot listed

NVD description

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 lookup, causing EngineCore to terminate and denying service to all concurrent users. This issue is fixed in version 0.30.0.

Does CVE-2026-105756 hit the version you run?Paste your docker-compose.yml, requirements.txt or package.json. The scanner checks your pinned versions against this CVE and every other one we track for vLLM.
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What to do

  • Upgrade vLLM to 0.30.0 or later.
  • Do not expose the component's API or UI to the internet without authentication in front of it.

Sources

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