// For flags

CVE-2025-2953

PyTorch torch.mkldnn_max_pool2d denial of service

Severity Score

4.8
*CVSS v4

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

1
*Multiple Sources

Exploited in Wild

-
*KEV

Decision

Track*
*SSVC
Descriptions

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.

Eine problematische Schwachstelle wurde in PyTorch 2.6.0+cu124 entdeckt. Es geht hierbei um die Funktion torch.mkldnn_max_pool2d. Dank Manipulation mit unbekannten Daten kann eine denial of service-Schwachstelle ausgenutzt werden. Der Angriff muss lokal passieren. Der Exploit steht zur öffentlichen Verfügung.

*Credits: Default436352
CVSS Scores
Attack Vector
Local
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
System
Vulnerable | Subsequent
Confidentiality
None
None
Integrity
None
None
Availability
Low
None
Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low
Attack Vector
Local
Attack Complexity
Low
Authentication
Single
Confidentiality
None
Integrity
None
Availability
Partial
* Common Vulnerability Scoring System
SSVC
  • Decision:Track*
Exploitation
Poc
Automatable
No
Tech. Impact
Partial
* Organization's Worst-case Scenario
Timeline
  • 2025-03-29 CVE Reserved
  • 2025-03-30 CVE Published
  • 2025-03-31 CVE Updated
  • 2025-03-31 EPSS Updated
  • 2025-03-31 First Exploit
  • ---------- Exploited in Wild
  • ---------- KEV Due Date
CWE
  • CWE-404: Improper Resource Shutdown or Release
CAPEC
Affected Vendors, Products, and Versions
Vendor Product Version Other Status
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