Vulnerability Database

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

But the version of PyTorch is specified in the requirements. txt file

So by default when the user install VLLM, it will install the PyTorch with version 2.5.1

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.

Fix

update PyTorch version to 2.6.0

Credit

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