# CVE-2025-55551: PYSEC-2025-203 - An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of…

Source: https://junglewise.ai/threats/cve-2025-55551-pysec-2025-203-an-issue-in-the-component-torch-linalg-lu-of  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2025-09-25  
License: CC BY 4.0 with a link back

CVE-2025-55551 · Severity: low · CVSS 3.1 · Published 2025-09-25

An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.

Technologies: [torch (PyPI)](https://junglewise.ai/threats/technologies/torch). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2025-55551 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-55551 being exploited in the wild.

**How severe is CVE-2025-55551?** Low severity, with a CVSS score of 3.1, published 25 September 2025.

**Which products and versions are affected?** torch (PyPI) ECOSYSTEM:introduced=0,fixed=2.9.0.

**Is there a fix for CVE-2025-55551?** Yes. torch (PyPI): upgrade to 2.9.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**Am I affected by CVE-2025-55551?** Check whether you run torch (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- torch (PyPI): upgrade to 2.9.0 or later

  ```sh
  pip install "torch>=2.9.0"
  ```


## Affected products

- torch (PyPI) ECOSYSTEM:introduced=0,fixed=2.9.0

## Identifiers

- CVE-2025-55551
- PYSEC-2025-203

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