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CVE-2025-24357

7.5 · HIGH

vLLM is a library for LLM inference and serving.

Published Jan 27, 2025CWE-502EPSS 0.87%

Overview

CVE-2025-24357 is a high-severity vulnerability. It was published on January 27, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

GitHubgithub.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04GitHubgithub.com/vllm-project/vllm/pull/12366GitHubgithub.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54Refpytorch.org/docs/stable/generated/torch.load.html

How CyberStrike helps

Frequently asked questions

What is CVE-2025-24357?

CVE-2025-24357 is a high-severity vulnerability. It was published on January 27, 2025 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2025-24357?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-24357?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-24357?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2025-24357 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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