VulnerabilityAnalyzed
CVE-2025-55560
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
HIGH 7.5EPSS 0.41%
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (0.41%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
Description
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
- CVSS 3.1
- 7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- EPSS
- 0.41% probability · 35th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-400
- Affected
- linuxfoundation/pytorch
- Source
- cve@mitre.org
References
- https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
- https://github.com/pytorch/pytorch/issues/151522Issue Tracking
- https://github.com/pytorch/pytorch/pull/151897Issue Tracking, Patch
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.