CRITICALPyPI →
vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator
vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator
Affected packages
- vllm— before 0.7.0
Exploit signal
- Known exploited (CISA KEV)
- No
- EPSS score
- —
- EPSS percentile
- —
EPSS is the probability a CVE is exploited in the wild; percentile is its rank among all CVEs.
Sources
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54
- https://nvd.nist.gov/vuln/detail/CVE-2025-24357
- https://github.com/vllm-project/vllm/pull/12366
- https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-58.yaml
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/releases/tag/v0.7.0
- https://pytorch.org/docs/stable/generated/torch.load.html
Structured record: https://osv.dev/vulnerability/GHSA-rh4j-5rhw-hr54
Recommended response stack
Snyk — Scan your dependencies in CI and fix this vulnerability.→Socket — Detect malicious and compromised packages before they ship.→
Some links are affiliate links — HackTribune may earn a commission at no extra cost to you.
Get incidents like this as alerts for your stack.
Join the beta