CVE-2025-32434
PyTorch Remote Command Execution (RCE)
Description
PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.
INFO
Published Date :
April 18, 2025, 4:15 p.m.
Last Modified :
April 21, 2025, 2:23 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
Exploitability Score :
Affected Products
The following products are affected by CVE-2025-32434
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
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-2025-32434.
| URL | Resource |
|---|---|
| https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6 |
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-2025-32434 vulnerability anywhere in the article.
-
Daily CyberSecurity
Cellebrite Android Zero-Day Exploit PoC Released: CVE-2024-53104
A security researcher published a proof-of-concept exploit code for an Android zero-day exploit chain developed by Cellebrite to unlock the device of a student activist in the country and attempt to i ... Read more
-
Daily CyberSecurity
Critical PyTorch Vulnerability CVE-2025-32434 Allows Remote Code Execution
A critical vulnerability has been unearthed in PyTorch, one of the most beloved deep learning frameworks out there. Security researcher Ji’an Zhou has identified a critical Remote Command Execution (R ... Read more
The following table lists the changes that have been made to the
CVE-2025-32434 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]
Apr. 18, 2025
Action Type Old Value New Value Added Description PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0. Added CVSS V4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X Added CWE CWE-502 Added Reference https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-32434 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-2025-32434
weaknesses.