6.5
Moyenne
CVE-2026-105756 vLLM is an inference and serving engine for large language models
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.
Produits et versions touchés
| Produit | Versions touchées | Corrigé en |
|---|---|---|
| vllm 0.30 | premières → < 0.30.0 | 0.30.0 |
Références
- github.com github.com
- github.com github.com
- github.com github.com
- github.com github.com
Chronologie
- Publiée
- Dernière modification
Autres CVE de vllm
Les 121 CVE de vllm →
CVE-2026-115918
vLLM is an inference and serving engine for large language models
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vLLM is an inference and serving engine for large language models
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CVE-2026-115916
vLLM is an inference and serving engine for large language models
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CVE-2026-115915
vLLM is an inference and serving engine for large language models
8.1
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