VDB
KO
CRITICAL 9.8

GHSA-ggpf-24jw-3fcw

CVE-2025-24357 Malicious model remote code execution fix bypass with PyTorch < 2.6.0

Details

## Description

https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54 reported a vulnerability where loading a malicious model could result in code execution on the vllm host. The fix applied to specify `weights_only=True` to calls to `torch.load()` did not solve the problem prior to PyTorch 2.6.0.

PyTorch has issued a new CVE about this problem: https://github.com/advisories/GHSA-53q9-r3pm-6pq6

This means that versions of vLLM using PyTorch before 2.6.0 are vulnerable to this problem. ## Background Knowledge When users install VLLM according to the official manual ![image](https://github.com/user-attachments/assets/d17e0bdb-26f2-46d6-adf6-0b17e5ddf5c7)

But the version of PyTorch is specified in the requirements. txt file ![image](https://github.com/user-attachments/assets/94aad622-ad6d-4741-b772-c342727c58c7)

So by default when the user install VLLM, it will install the PyTorch with version 2.5.1 ![image](https://github.com/user-attachments/assets/04ff31b0-aad1-490a-963d-00fda91da47b)

In CVE-2025-24357, weights_only=True was used for patching, but we know this is not secure. Because we found that using Weights_only=True in pyTorch before 2.5.1 was unsafe

Here, we use this interface to prove that it is not safe. ![image](https://github.com/user-attachments/assets/0d86efcd-2aad-42a2-8ac6-cc96b054c925)

## Fix update PyTorch version to 2.6.0

## Credit This vulnerability was found By Ji'an Zhou and Li'shuo Song

Are you affected?

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Affected packages

PyPI / vllm
Introduced in: 0 Fixed in: 0.8.0
Fix pip install --upgrade 'vllm>=0.8.0'

References