3.1
Faible
CVE-2026-105752 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, Harmony tool continuations submitted through "POST /v1/responses" requests rebuild the next-turn engine input without preserving the cache_salt value, placing the continuation prefix in the global unsalted cache namespace even when the caller enabled salting. On deployments with prefix caching enabled, which is the default, an authenticated tenant who can reconstruct a victim's low-entropy post-tool history can submit the same continuation and use the cached_tokens_per_turn count to determine whether the prefix was previously processed, defeating the intended tenant isolation of salted prefix caching. 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
- 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
6.5
Moyenne
CVE-2026-115917
vLLM is an inference and serving engine for large language models
3.4
Faible
CVE-2026-115916
vLLM is an inference and serving engine for large language models
6.5
Moyenne
CVE-2026-115915
vLLM is an inference and serving engine for large language models
8.1
Élevée