10.0
Critique
CVE-2025-32444 vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs
Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.6.5 and prior to 0.8.5, having vLLM integration with mooncake, are vulnerable to remote code execution due to using pickle based serialization over unsecured ZeroMQ sockets. The vulnerable sockets were set to listen on all network interfaces, increasing the likelihood that an attacker is able to reach the vulnerable ZeroMQ sockets to carry out an attack. vLLM instances that do not make use of the mooncake integration are not vulnerable. This issue has been patched in version 0.8.5.
Produits et versions touchés
| Produit | Versions touchées | Corrigé en |
|---|---|---|
| vllm 0.6 | 0.6.5 → < 0.8.5 | 0.8.5 |
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