GHSA-rh4j-5rhw-hr54

vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator

En bref

Publiée
Mise à jour
CVE
CVE-2025-24357
Alias
PYSEC-2025-58
CVSS_V3
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

Description

### Description The vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It use torch.load function and weights_only parameter is default value False. There is a security warning on https://pytorch.org/docs/stable/generated/torch.load.html, when torch.load load a malicious pickle data it will execute arbitrary code during unpickling. ### Impact This vulnerability can be exploited to execute arbitrary codes and OS commands in the victim machine who fetch the pretrained repo remotely. Note that most models now use the safetensors format, which is not vulnerable to this issue. ### References * https://pytorch.org/docs/stable/generated/torch.load.html * Fix: https://github.com/vllm-project/vllm/pull/12366

Paquets affectés

PaquetVersions
PyPI · vllmintroduced 0, fixed 0.7.0

Références

Sources

SourceLicence
OSV.devCC-BY 4.0 — GitHub Advisory Database