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.
CVE-2025-24357
This high-severity CVE scores 7.5 under NVD CVSS v3. EPSS exploit probability: 0.7%, top 51% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 7.5
- EG Score
- 7.5(medium)
- EG Risk
- 34(Track)EG Risk 34/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity75% × 45%Exploitation1% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 49.1%
- KEV
- Not listed
Published
January 27, 2025
Last Modified
June 27, 2025
References (4)
- security-advisories@githubhttps://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04
- security-advisories@githubhttps://github.com/vllm-project/vllm/pull/12366
- security-advisories@githubhttps://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54
- security-advisories@githubhttps://pytorch.org/docs/stable/generated/torch.load.html
Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| vllm | 0.0.1 ... 0.6.6.post1 (47 versions) | 0.7.0 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 11× in last 7d / 47× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-07-23 02:51 UTCEG score recompute
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Related CVEs(same CWE)
Same CWE
10 shownCWE-502
- CVE-2017-20208EG 9.8CRITICAL
- CVE-2017-20207EG 9.8CRITICAL
- CVE-2017-20206EG 9.8CRITICAL
- CVE-2017-20189EG 9.8CRITICAL
- CVE-2017-10992EG 9.8EPSS 95%CRITICAL
- CVE-2013-4521EG 9.8EPSS 90%CRITICAL
- CVE-2014-1860EG 9.8CRITICAL
- CVE-2016-1000027EG 9.8EPSS 98%CRITICAL
- CVE-2014-3699EG 9.8CRITICAL
- CVE-2017-18605EG 9.8CRITICAL
Frequently asked(5)
What is CVE-2025-24357?
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What is the CVSS score of CVE-2025-24357?
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Dependency Blast Radius
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