{"id":"CVE-2025-2953","aliases":["GHSA-3749-ghw9-m3mg","BIT-pytorch-2025-2953","PYSEC-2025-191"],"title":"PyTorch susceptible to local Denial of Service","summary":"PyTorch susceptible to local Denial of Service","severity":"low","cvss":3.3,"cvssVector":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L","vendor":"torch","product":"torch","ecosystem":"pip","affected":["torch < 2.7.1-rc1"],"patched":["torch 2.7.1-rc1"],"published":"2025-03-30","updated":"2026-09-10","sourceUpdated":"2026-09-10T03:50:22.781448235Z","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-3749-ghw9-m3mg","references":[{"url":"https://nvd.nist.gov/vuln/detail/CVE-2025-2953"},{"url":"https://github.com/pytorch/pytorch/issues/149274"},{"url":"https://github.com/pytorch/pytorch/issues/149274#issue-2923122269"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-191.yaml"},{"url":"https://github.com/pytorch/pytorch"},{"url":"https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models"},{"url":"https://vuldb.com/?ctiid.302006"},{"url":"https://vuldb.com/?id.302006"},{"url":"https://vuldb.com/?submit.521279"}],"tags":["osv","pip"],"epss":0.00256,"epssPercentile":0.17452,"ingestedAt":"2026-09-12T03:13:01.643Z","slug":"CVE-2025-2953","body":"## Overview\n\nA vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.\n\n## Affected packages\n\n- `torch < 2.7.1-rc1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `torch 2.7.1-rc1`","depth":"sunlit","depthScore":18,"depthScoreParts":{"impact":18.2,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}