CVE-2025-3136
PyTorch CUDA Caching Allocator Memory Corruption Vulnerability
Description
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
INFO
Published Date :
April 3, 2025, 4:15 a.m.
Last Modified :
April 3, 2025, 2:15 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
1.4
Exploitability Score :
1.8
Affected Products
The following products are affected by CVE-2025-3136
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-2025-3136.
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-2025-3136 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-3136 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.
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CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Apr. 03, 2025
Action Type Old Value New Value Added Reference https://github.com/ARPANET-cybersecurity/vuldb/issues/2 -
New CVE Received by [email protected]
Apr. 03, 2025
Action Type Old Value New Value Added Description A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. Added CVSS V4.0 AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/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 CVSS V3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L Added CVSS V2 (AV:L/AC:L/Au:S/C:N/I:N/A:P) Added CWE CWE-119 Added Reference https://github.com/pytorch/pytorch/issues/149821 Added Reference https://github.com/pytorch/pytorch/issues/149821#issue-2940838975 Added Reference https://github.com/pytorch/pytorch/issues/149821#issuecomment-2765311086 Added Reference https://vuldb.com/?ctiid.303041 Added Reference https://vuldb.com/?id.303041 Added Reference https://vuldb.com/?submit.525252
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-3136 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-2025-3136
weaknesses.