CVE-2025-55560 Denial of service in n/a
Attackers can cause a Denial of Service in PyTorch by compiling models with specific sparse-to-dense tensor operations using Inductor.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2025-55560?
CVE-2025-55560 is a high-severity denial of service 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
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
Weakness: CWE-400
Which versions are affected by CVE-2025-55560?
2 open source packages ship an affected version, including pytorch and torch. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
pytorch Bitnami | All versions | 2.7.1 |
torch PyPI | All versions | 2.7.1 |
Products include Linuxfoundation Pytorch.
How do I fix CVE-2025-55560?
Upgrade pytorch to 2.7.1 or later.
Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.
Is CVE-2025-55560 being exploited?
There is no known exploitation of CVE-2025-55560 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-67944, AZL-67968, BIT-pytorch-2025-55560, DEBIAN-CVE-2025-55560, ECHO-2a9b-9969-0d91, GHSA-mxhp-68x5-j3fx and 2 more.