CVE-2025-55560
published 2025-09-25CVE-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…
PriorityP335high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.38%
30.3th percentile
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.
Affected
6 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | pytorch | — | — |
| linuxfoundation | pytorch | <= 2.7.0 | — |
| msrc | azl3_pytorch_2.2.2-7_on_azure_linux_3.0 | — | — |
| msrc | azl3_pytorch_2.2.2-9_on_azure_linux_3.0 | — | — |
| msrc | cbl2_pytorch_2.0.0-11_on_cbl_mariner_2.0 | — | — |
| msrc | cbl2_pytorch_2.0.0-9_on_cbl_mariner_2.0 | — | — |
CVSS provenance
nvdv3.17.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
osv7.5HIGH
vendor_debian7.5HIGH
vendor_msrc7.5HIGH
vendor_redhat7.5HIGH
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OSV
CVE-2025-55560: An issue in pytorch v2
osv·2025-09-25·CVSS 7.5
CVE-2025-55560 [HIGH] CVE-2025-55560: An issue in pytorch v2
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.
GHSA
GHSA-mxhp-68x5-j3fx: An issue in pytorch v2
ghsa_unreviewed·2025-09-25
CVE-2025-55560 [HIGH] CWE-400 GHSA-mxhp-68x5-j3fx: An issue in pytorch v2
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.
Red Hat
torch: PyTorch denial of service
vendor_redhat·2025-09-25·CVSS 7.5
CVE-2025-55560 [HIGH] CWE-617 torch: PyTorch denial of service
torch: PyTorch denial of service
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.
A denial of service flaw has been discovered in the PyTorch library. Under specific conditions when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor a program crash may be induced.
Mitigation: Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Package: openshift-lightspeed/lightspeed-service-api-rhel9 (OpenShift Lightspeed) - Fix deferred
Microsoft
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.
vendor_msrc·2025-09-09·CVSS 7.5
CVE-2025-55560 [HIGH] CWE-400 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.
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.
FAQ: Is Azure Linux the only Microsoft product that includes this open-source library and is therefore potentially affected by this vulnerability?
One of the main benefits to our customers who choose to use the Azure Linux distro is the commitment to keep it up to date with the most recent and most secure versions of the open source libraries with which the distro is composed. Microsoft is committed to transparency in this work which is why we began publishing CSAF/VEX in October 2025. See this blog post for more information. If impact to additional products is identified, we will update the CVE to reflect this.
Debian
CVE-2025-55560: pytorch - An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch ...
vendor_debian·2025·CVSS 7.5
CVE-2025-55560 [HIGH] CVE-2025-55560: pytorch - An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch ...
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.
Scope: local
bookworm: open
bullseye: open
forky: open
sid: open
trixie: open
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
2025-09-25
Published