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CVE-2025-46148
PyTorch PairwiseDistance Eager Evaluation Vulnerability
Description

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.

INFO

Published Date :

Sept. 25, 2025, 3:16 p.m.

Last Modified :

Sept. 25, 2025, 3:16 p.m.

Remotely Exploit :

No

Source :

[email protected]
Affected Products

The following products are affected by CVE-2025-46148 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

: Total Affected Vendor : 0 | Products : 0
Solution
Update PyTorch to a version that resolves the nn.PairwiseDistance calculation issue.
  • Update PyTorch to the latest stable version.
  • Verify nn.PairwiseDistance calculations in eager mode.
  • Consult PyTorch documentation for specific fixes.
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2025-46148.

URL Resource
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
https://gist.github.com/shaoyuyoung/65a587a579dfdff887b9b35bb79b9093
https://github.com/pytorch/pytorch/issues/151198
https://github.com/pytorch/pytorch/pull/152993
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-46148 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2025-46148 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2025-46148 vulnerability anywhere in the article.

Results are limited to the first 20 news articles due to potential performance issues.

The following table lists the changes that have been made to the CVE-2025-46148 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Sep. 25, 2025

    Action Type Old Value New Value
    Added Description In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
    Added Reference https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
    Added Reference https://gist.github.com/shaoyuyoung/65a587a579dfdff887b9b35bb79b9093
    Added Reference https://github.com/pytorch/pytorch/issues/151198
    Added Reference https://github.com/pytorch/pytorch/pull/152993
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
No CVSS metrics available for this vulnerability.