CVE-2025-55560
Apache PyTorch Denial of Service
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.
INFO
Published Date :
Sept. 25, 2025, 4:15 p.m.
Last Modified :
Sept. 25, 2025, 4:15 p.m.
Remotely Exploit :
No
Source :
[email protected]
Affected Products
The following products are affected by CVE-2025-55560
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
Solution
- Update PyTorch to a non-vulnerable version.
- Recompile the model with the updated PyTorch version.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-55560.
| URL | Resource |
|---|---|
| https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc | |
| https://github.com/pytorch/pytorch/issues/151522 | |
| https://github.com/pytorch/pytorch/pull/151897 |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-55560 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-55560
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-55560 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-55560 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
New CVE Received by [email protected]
Sep. 25, 2025
Action Type Old Value New Value Added 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. Added Reference https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc Added Reference https://github.com/pytorch/pytorch/issues/151522 Added Reference https://github.com/pytorch/pytorch/pull/151897