Home/CVE/In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
CVE

CVE-2025-46150

In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.

In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.

MEDIUM · CVSS 5.3 EPSS 0.00076
Monitor
  • No active-exploitation, high-EPSS, or public-exploit signals - routine patching cadence
Sigma rules0 YARA rules0
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Affected Products & Versions

1
linuxfoundation pytorch>= 2.6.0 and < 2.7.0
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Affected Packages

1
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI torch fixed in 2.7.0
▣

Scoring & Timeline

5.3
MEDIUM · CVSS v3.1 · cve@mitre.org
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD25 Sep 2025 · 03:16 PM
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
SSVC triage · cisa-vulnrichment
Exploitation
none
Automatable
no
Technical impact
partial
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.
⚑

Vendor Advisories

1
msrcCVE-2025-46150
🔗

References & Sources

4
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
https://github.com/pytorch/pytorch/issues/141538Issue Tracking
https://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658Issue Tracking
https://github.com/pytorch/pytorch/pull/144395Issue TrackingPatch
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