Vulnerability in Pytorch
CVE-2025-2953
A 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 locall…
EPSS: 0.001 (18.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 3.3 (Low). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L.
Affected products
- N/a Pytorch — versions 2.6.0+cu124
Weakness classification (CWE)
Public proof-of-concept exploits
References
- VDB-302006 | PyTorch torch.mkldnn_max_pool2d denial of service (vdb-entry, technical-description)
- VDB-302006 | CTI Indicators (IOB, IOC, IOA) (signature, permissions-required)
- Submit #521279 | pytorch PyTorch version: 2.6.0+cu124 Floating point exception (third-party-advisory)
- github.com/pytorch/pytorch/issues/149274 (issue-tracking)
- github.com/pytorch/pytorch/issues/149274 (exploit, issue-tracking)
- github.com/pytorch/pytorch/blob/main/SECURITY.md (related)
Frequently asked questions
- What is CVE-2025-2953?
- CVE-2025-2953 is a low-severity vulnerability in Pytorch, classified under Improper Resource Shutdown or Release. CVSS score: 3.3/10. Published 2025-03-30.
- How severe is CVE-2025-2953?
- Low severity. CVSS v3 base score is 3.3 out of 10.
- Is CVE-2025-2953 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.