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CVE-2025-46150

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

5.3 MediumFix available

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

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
Low
Integrity
None
Availability
None

Exploit likelihood

0.39%Up 0.4 points since Sep 26, 2025
90%50%10%1%

What each source reports

CVE List Score used 5.3

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

Record
CVE-2025-46150
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-02
EUVDEUVD-2025-31110 5.3

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

Record
EUVD-2025-31110
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-02
GitHub AdvisoriesGHSA-v5f2-jg66-6h4h 5.3

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.

Record
GHSA-v5f2-jg66-6h4h
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-02
NVD 5.3

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

Record
CVE-2025-46150
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-06
OSV 5.3

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

Record
CVE-2025-46150
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-07
OSVDEBIAN-CVE-2025-46150 5.3

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

Record
DEBIAN-CVE-2025-46150
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-06
OSVPYSEC-2025-200 5.3

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

Record
PYSEC-2025-200
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-02
OSVUBUNTU-CVE-2025-46150 5.3

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

Record
UBUNTU-CVE-2025-46150
CVSS 3.1
5.3 MediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Updated
2026-11-02
OSVBIT-pytorch-2025-46150 No score

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

Record
BIT-pytorch-2025-46150
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
pytorch
Bitnami
 2.6.0 up to 2.7.0
2.7.0
pytorch
Debian:12
 All versions, plus listed versions
1.13.1+dfsg-41.13.1+dfsg-52.0.1+dfsg-12.0.1+dfsg-1~exp12.0.1+dfsg-2
Show 36 moreShow less
2.0.1+dfsg-42.0.1+dfsg-52.1.2+dfsg-12.1.2+dfsg-22.1.2+dfsg-42.12.0+dfsg2-12.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.12.0+dfsg2-22.12.0+dfsg2-32.12.0+dfsg2-42.12.1+dfsg-12.12.1+dfsg-22.14.1+dfsg-12.14.1+dfsg-1~exp12.4.1-12.4.1-32.4.1-42.5.0+dfsg-12.5.1+dfsg-12.5.1+dfsg-32.5.1+dfsg-42.6.0+dfsg-12.6.0+dfsg-1~exp12.6.0+dfsg-22.6.0+dfsg-32.6.0+dfsg-42.6.0+dfsg-52.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-92.6.0~rc9+dfsg-1~exp12.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2
 None known
pytorch
Debian:13
 All versions, plus listed versions
2.12.0+dfsg2-12.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.12.0+dfsg2-22.12.0+dfsg2-3
Show 12 moreShow less
2.12.0+dfsg2-42.12.1+dfsg-12.12.1+dfsg-22.14.1+dfsg-12.14.1+dfsg-1~exp12.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-92.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2
 None known
pytorch
Debian:14
 before 2.12.0+dfsg2-1, plus listed versions
2.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-9
Show 4 moreShow less
2.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2
2.12.0+dfsg2-1
torch
PyPI
 2.6.0 up to 2.7.0
2.7.0
pytorch
Ubuntu:22.04:LTS
 All versions, plus listed versions
1.7.1-71.8.1-4
 None known
pytorch
Ubuntu:25.10
 All versions, plus listed versions
2.6.0+dfsg-5build12.6.0+dfsg-7
 None known
pytorch
Ubuntu:26.10
 All versions, plus listed versions
2.9.1+dfsg-1~exp1ubuntu22.12.1+dfsg-1
 None known
pytorch
Ubuntu:26.04:LTS
 All versions, plus listed versions
2.6.0+dfsg-72.6.0+dfsg-92.9.1+dfsg-1~exp1ubuntu2
 None known

History

History
RecordedChangedSources
affectedOSV
factsNVD
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2025-46150 is a medium vulnerability (CVSS 5.3) in Linuxfoundation Pytorch, published September 25, 2025. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.39%, the 32nd percentile. Fixed in pytorch 2.7.0.

References

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