CVE-2025-55560: High severity PyTorch PyTorch vulnerability

Published Sep 25, 2025
·
Updated

An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.tosparse() and torch.Tensor.todense() and is compiled by Inductor.

Affected Software

6 affected componentsFixes available
PyTorch PyTorch
linuxfoundation Pytorch Python<=2.7.0
Microsoft cbl2 pytorch 2.0.0-9
Microsoft azl3 pytorch 2.2.2-7
Microsoft cbl2 pytorch 2.0.0-11
Microsoft azl3 pytorch 2.2.2-9

Event History

Sep 25, 2025
CVE Published
via MITRE·12:00 AM
Data Sourced
via MITRE·12:00 AM
Description
Data Sourced
via NVD·04:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Oct 2, 2025
Data Sourced
via Microsoft·01:05 AM
DescriptionSeverityWeaknessAffected Software
Updated
via Microsoft·01:05 AM
Affected Software
Updated
via Microsoft·01:05 AM
DescriptionSeverity
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Frequently Asked Questions

1

What is the severity of CVE-2025-55560?

CVE-2025-55560 is classified as a Denial of Service (DoS) vulnerability due to improper handling of certain tensor operations.

2

How do I fix CVE-2025-55560?

To mitigate CVE-2025-55560, upgrade to the latest version of PyTorch where the vulnerability has been addressed.

3

What versions of PyTorch are affected by CVE-2025-55560?

CVE-2025-55560 affects PyTorch version 2.7.0 specifically.

4

What causes the Denial of Service in CVE-2025-55560?

The Denial of Service in CVE-2025-55560 is caused by a model that switches between torch.Tensor.to_sparse() and torch.Tensor.to_dense() when compiled by Inductor.

5

Are there any known exploits for CVE-2025-55560?

Currently, there are no public exploits reported for CVE-2025-55560, but it remains a significant concern for users of the affected software.

Contact

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