CVE-2025-46150 Other in n/a
Inconsistent results in FractionalMaxPool2d when using torch.compile may lead to unpredictable model behavior.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2025-46150?
CVE-2025-46150 is a medium-severity vulnerability in n/a, published on 25 Sep 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official description
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Which versions are affected by CVE-2025-46150?
2 open source packages ship an affected version, including pytorch and torch. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
pytorch Bitnami | From 2.6.0 | 2.7.0 |
torch PyPI | From 2.6.0 | 2.7.0 |
Products include Linuxfoundation Pytorch.
How do I fix CVE-2025-46150?
Upgrade pytorch to 2.7.0 or later.
Is CVE-2025-46150 being exploited?
There is no known exploitation of CVE-2025-46150 in the wild and no public exploit code.
Other vulnerabilities in n/a
- CVE-2024-48063 Deserialization in n/a
- CVE-2022-45907 PyTorch vulnerable to arbitrary code execution
- CVE-2025-32434 PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
- CVE-2026-24747 PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
- CVE-2024-31583 Pytorch use-after-free vulnerability
Sources
Also known as BIT-pytorch-2025-46150, DEBIAN-CVE-2025-46150, ECHO-b465-9fdb-5efb, GHSA-v5f2-jg66-6h4h, PYSEC-2025-200, UBUNTU-CVE-2025-46150.