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VulnerabilityPublished

CVE-2025-46150: PyTorch · CVE-2025-46150 is a medium severity

Source CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium · fixed in 2.7.0 : update PyTorch when convenient.

Data as of 26 Oct 2026, 13:47 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 32% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Affects
PyTorch before 2.7.0
Patch
Available – fixed in 2.7.0
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 25 Sep 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Description

CVE-2025-46150 is a medium severity vulnerability in PyTorch versions before 2.7.0. It causes inconsistent results when using the FractionalMaxPool2d operation in conjunction with torch.compile. The issue affects the correctness of computations but does not impact confidentiality, integrity, or availability.

References

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