CVE-2025-46150
published 2025-09-25CVE-2025-46150: In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
PriorityP427medium5.3CVSS 3.1
AVNACLPRNUINSUCLINAN
EPSS
0.36%
28.2th percentile
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Affected
4 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | pytorch | — | — |
| linuxfoundation | pytorch | >= 2.6.0 < 2.7.0 | 2.7.0 |
| msrc | azl3_pytorch_2.2.2-7_on_azure_linux_3.0 | — | — |
| msrc | cbl2_pytorch_2.0.0-9_on_cbl_mariner_2.0 | — | — |
CVSS provenance
nvdv3.15.3MEDIUMCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
osv5.3MEDIUM
vendor_debian5.3MEDIUM
vendor_msrc5.3MEDIUM
vendor_redhat5.3MEDIUM
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Red Hat
torch: PyTorch inconsistent results
vendor_redhat·2025-09-25·CVSS 5.3
CVE-2025-46150 [MEDIUM] CWE-440 torch: PyTorch inconsistent results
torch: PyTorch inconsistent results
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
A consistency flaw has been discovered in the PyTorch library. When torch.compile is used, the function FractionalMaxPool2d has inconsistent results.
Mitigation: Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Package: openshift-lightspeed/lightspeed-service-api-rhel9 (OpenShift Lightspeed) - Fix deferred
Package: openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 (OpenShift Lightspeed) - Fix deferred
Package: rhaiis-preview/vllm-cuda-rhel9 (Red Hat AI Inferen
Microsoft
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
vendor_msrc·2025-09-09·CVSS 5.3
CVE-2025-46150 [MEDIUM] 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.
FAQ: Is Azure Linux the only Microsoft product that includes this open-source library and is therefore potentially affected by this vulnerability?
One of the main benefits to our customers who choose to use the Azure Linux distro is the commitment to keep it up to date with the most recent and most secure versions of the open source libraries with which the distro is composed. Microsoft is committed to transparency in this work which is why we began publishing CSAF/VEX in October 2025. See this blog post for more information. If impact to additional products is identified, we will update the CVE to reflect this.
Mariner: Mariner
mitre: mitre
Customer Action Required: Yes
Debian
CVE-2025-46150: pytorch - In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inc...
vendor_debian·2025·CVSS 5.3
CVE-2025-46150 [MEDIUM] CVE-2025-46150: pytorch - In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inc...
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Scope: local
bookworm: open
bullseye: open
forky: open
sid: open
trixie: open
OSV
CVE-2025-46150: In PyTorch before 2
osv·2025-09-25·CVSS 5.3
CVE-2025-46150 [MEDIUM] CVE-2025-46150: In PyTorch before 2
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
GHSA
GHSA-v5f2-jg66-6h4h: In PyTorch before 2
ghsa_unreviewed·2025-09-25
CVE-2025-46150 [MEDIUM] GHSA-v5f2-jg66-6h4h: In PyTorch before 2
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
2025-09-25
Published