vLLM is an inference and serving engine for large language models.
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.
Read at NIST National Vulnerability Database (CVE API 2.0)
- Product
- AI / LLM tooling
- CVSS
- 6.5
- Fix
- available
- Exposure class
- AI infrastructure
Why it ranks 13 (Routine)
- CVSS 6.5 medium
- Product class: AI infrastructure
- Fix available
- Recency: items published within 24 hours gain 15, within 72 hours 6, within 7 days 2.
Links
- NIST National Vulnerability Database (CVE API 2.0) (nvd.nist.gov)
- CVE-2026-105756 on this site · NVD · CVE.org · Vulnpedia
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