GitHub Advisoryadvisory · PyPI

GHSA-rh4j-5rhw-hr54 vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator

HIGH Published 2025-01-27 Modified 2025-06-30 Official page ↗
Aliases
CVE-2025-24357
Ecosystem
PyPI
Packages
vllm
Severity
High
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Weaknesses
CWE-502
Reviewed
2025-01-27

Affected packages

• PyPI vllm: < 0.7.0 → fixed in 0.7.0

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

Related

Alias · CVE (1)

  • CVE-2025-24357 vLLM is a library for LLM inference and serving. vulnerability

Weakness · CWE (1)

  • CWE-502 Deserialization of Untrusted Data weakness

References