How severe is CVE-2025-24357?

CVE-2025-24357 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with high attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2025-24357 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (49th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-24357?

CVE-2025-24357 affects Vllm. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-24357?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

Does CVE-2025-24357 have an EU (EUVD) identifier?

Yes. CVE-2025-24357 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-0192.

When was CVE-2025-24357 published?

CVE-2025-24357 was published on 2025-01-27 and last updated on 2026-06-17.

CVE-2025-24357

CVE-2025-24357 is a high-severity vulnerability in Vllm with a CVSS 3.x base score of 7.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-502.

Key facts

Severity: High (CVSS 3.x base score 7.5)
EPSS exploit prediction: 1% (49th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-0192
Weakness: CWE-502
Affected product: Vllm
Published: 2025-01-27
Last modified: 2026-06-17

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.

Frequently asked questions

What is CVE-2025-24357?: 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.
How severe is CVE-2025-24357?: CVE-2025-24357 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with high attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2025-24357 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (49th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-24357?: CVE-2025-24357 affects Vllm. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-24357?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
Does CVE-2025-24357 have an EU (EUVD) identifier?: Yes. CVE-2025-24357 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-0192.
When was CVE-2025-24357 published?: CVE-2025-24357 was published on 2025-01-27 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

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