CVE-2025-55557: High severity PyTorch PyTorch vulnerability

Published Sep 25, 2025
·
Updated

A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).

Affected Software

7 affected componentsFixes available
PyTorch PyTorch
IBM Concert Software<=1.0.0-3.0.0
linuxfoundation Pytorch Python<=2.7.0
debian/pytorch*
debian/pytorch*
debian/pytorch<2.12.0+dfsg2-1
2.12.0+dfsg2-1
debian/pytorch<=1.13.1+dfsg-4, <=2.6.0+dfsg-7
2.14.1+dfsg-1

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade debian/pytorch to a version that resolves this vulnerability.

    Fixed in 2.12.0+dfsg2-1
  2. Upgrade

    Upgrade debian/pytorch to a version that resolves this vulnerability.

    Fixed in 2.14.1+dfsg-1

Event History

Sep 25, 2025
CVE Published
via MITRE·12:00 AM
Data Sourced
via MITRE·12:00 AM
Description
Data Sourced
via OSV·12:00 AM
DescriptionSeverity
Data Sourced
via NVD·04:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Data Sourced
via OSV·04:15 PM
Affected Software
Oct 2, 2025
Data Sourced
via Microsoft·01:05 AM
DescriptionSeverityWeakness
Sep 22, 2026
Data Sourced
via IBM·12:00 AM
DescriptionAffected Software

Parent advisories

This vulnerability appears in the following advisories.

Frequently Asked Questions

1

What is the severity of CVE-2025-55557?

CVE-2025-55557 is classified as a Denial of Service (DoS) vulnerability.

2

How do I fix CVE-2025-55557?

To mitigate CVE-2025-55557, update to a patched version of PyTorch that resolves the issue with torch.cummin in the Inductor compilation.

3

Which versions of PyTorch are affected by CVE-2025-55557?

CVE-2025-55557 affects PyTorch version 2.7.0.

4

What causes the vulnerability CVE-2025-55557?

The vulnerability occurs due to a Name Error in PyTorch models containing torch.cummin when compiled by Inductor.

5

What impact does CVE-2025-55557 have on systems using PyTorch?

The impact of CVE-2025-55557 can lead to a Denial of Service (DoS), affecting the availability of applications using the vulnerable PyTorch version.

Contact

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