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. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.

Metrics

Attack Vector Local

Attack Complexity Low

Privileges Required Low

Attack Requirements None

User Interaction None

Vulnerable System Confidentiality Impact None

Vulnerable System Integrity Impact None

Vulnerable System Availability Impact Low

Subsequent System Confidentiality Impact None

Subsequent System Integrity Impact None

Subsequent System Availability Impact None

Attack Vector Local

Attack Complexity Low

Privileges Required Low

Scope Unchanged

Confidentiality Impact None

Integrity Impact None

Availability Impact Low

User Interaction None

Attack Vector Local

Attack Complexity Low

Privileges Required Low

Scope Unchanged

Confidentiality Impact None

Integrity Impact None

Availability Impact Low

User Interaction None

Access Vector Local

Access Complexity Low

Authentication Single

Confidentiality Impact None

Integrity Impact None

Availability Impact Partial

This CVE is not in the KEV list.

The EPSS score is 0.00052.

Exploitation poc

Automatable no

Technical Impact partial

Affected Vendors & Products

Vendors Products
Linuxfoundation
  • Pytorch

Configuration 1 [-]

cpe:2.3:a:linuxfoundation:pytorch:2.6.0\+cu124:*:*:*:*:python:*:*

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Advisories
Source ID Title
EUVD EUVD EUVD-2025-8684 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. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.
Github GHSA Github GHSA GHSA-3749-ghw9-m3mg PyTorch susceptible to local Denial of Service
Fixes

Solution

No solution given by the vendor.

Workaround

No workaround given by the vendor.

References
Link Providers
https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models cve-icon cve-icon
https://github.com/pytorch/pytorch/issues/149274 cve-icon cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/issues/149274#issue-2923122269 cve-icon cve-icon cve-icon
https://nvd.nist.gov/vuln/detail/CVE-2025-2953 cve-icon
https://vuldb.com/?ctiid.302006 cve-icon cve-icon cve-icon
https://vuldb.com/?id.302006 cve-icon cve-icon cve-icon
https://vuldb.com/?submit.521279 cve-icon cve-icon cve-icon
https://www.cve.org/CVERecord?id=CVE-2025-2953 cve-icon
History

Tue, 22 Apr 2025 11:45:00 +0000

Type Values Removed Values Added
Description 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. 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. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.
References

Tue, 15 Apr 2025 18:15:00 +0000

Type Values Removed Values Added
First Time appeared Linuxfoundation
Linuxfoundation pytorch
CPEs cpe:2.3:a:linuxfoundation:pytorch:2.6.0\+cu124:*:*:*:*:python:*:*
Vendors & Products Linuxfoundation
Linuxfoundation pytorch

Wed, 02 Apr 2025 02:15:00 +0000

Type Values Removed Values Added
References
Metrics threat_severity

None

 threat_severity

Low

Mon, 31 Mar 2025 13:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'poc', 'Technical Impact': 'partial'}, 'version': '2.0.3'}

Sun, 30 Mar 2025 15:45:00 +0000

Type Values Removed Values Added
Description 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.
Title PyTorch torch.mkldnn_max_pool2d denial of service
Weaknesses CWE-404
References
Metrics cvssV2_0

{'score': 1.7, 'vector': 'AV:L/AC:L/Au:S/C:N/I:N/A:P'}

cvssV3_0

{'score': 3.3, 'vector': 'CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L'}

cvssV3_1

{'score': 3.3, 'vector': 'CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L'}

cvssV4_0

{'score': 4.8, 'vector': 'CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N'}
cve-icon MITRE

Status: PUBLISHED

Assigner: VulDB

Published:

Updated: 2025-04-22T11:36:56.085Z

Reserved: 2025-03-29T19:35:04.653Z

Link: CVE-2025-2953

cve-icon Vulnrichment

Updated: 2025-03-31T13:06:06.327Z

cve-icon NVD

Status : Modified

Published: 2025-03-30T16:15:14.380

Modified: 2025-04-22T12:15:16.043

Link: CVE-2025-2953

cve-icon Redhat

Severity : Low

Publid Date: 2025-03-30T15:31:04Z

Links: CVE-2025-2953 - Bugzilla

cve-icon OpenCVE Enrichment

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