CVE-2025-2953
Description
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 locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| debian | bookworm | affected | |
| debian | bullseye | affected | |
| debian | forky | affected | |
| debian | sid | affected | |
| debian | trixie | affected | |
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-2953
- https://github.com/pytorch/pytorch/issues/149274
- https://github.com/pytorch/pytorch/issues/149274#issue-2923122269
- https://github.com/pytorch/pytorch
- https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
- https://vuldb.com/?ctiid.302006
- https://vuldb.com/?id.302006
- https://vuldb.com/?submit.521279
- https://security-tracker.debian.org/tracker/CVE-2025-2953
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.