CVE-2025-55554 Integer overflow in n/a
An integer overflow in PyTorch's nan_to_num function allows attackers to cause denial of service or potentially execute arbitrary code.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2025-55554?
CVE-2025-55554 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
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
Weakness: CWE-190
Which versions are affected by CVE-2025-55554?
2 open source packages ship an affected version, including pytorch and torch. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
pytorch Bitnami | All versions | 2.9.0 |
torch PyPI | All versions | 2.9.0 |
Products include Linuxfoundation Pytorch.
How do I fix CVE-2025-55554?
Upgrade pytorch to 2.9.0 or later.
Is CVE-2025-55554 being exploited?
There is no known exploitation of CVE-2025-55554 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 AZL-68106, AZL-68123, BIT-pytorch-2025-55554, DEBIAN-CVE-2025-55554, ECHO-8321-37b4-941e, GHSA-f9wh-qr6g-v2h4 and 2 more.