CVE-2026-105756
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, OpenAI-compatible request models accept a non-empty cach
CVSS
6.5
Medium
EPSS
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KEV
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Exploit Today
0
0-100
Published: Oct 5, 2026 · Last modified: Oct 5, 2026 · CWE-20 · CWE-248
Not enough EPSS history yet.
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.
- github.comhttps://github.com/vllm-project/vllm/commit/e962733e08d10f7ca65dac4df99e116460b8b174
- github.comhttps://github.com/vllm-project/vllm/pull/51444
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.30.0
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-2823-qmq8-rwvj