Which versions of Pytorch are affected by CVE-2025-2953?

CVE-2025-2953 presents moderate security risk rated CVSS 4.8. Exploitation could compromise the security of affected deployments. Proof-of-concept code is publicly available.. A patch is available.

Is there a public PoC exploit available for CVE-2025-2953?

Yes, a public proof-of-concept exploit is available for CVE-2025-2953. Prioritise patching immediately. EPSS: 0.2%.

How to fix or mitigate CVE-2025-2953?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Monitor vendor channels for patch availability.

Pytorch CVE-2025-2953

Q: What is the CVSS score of CVE-2025-2953?

CVE-2025-2953 has a CVSS 4.0 base score of 4.8 (Medium). CVSS 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/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. EPSS exploitation probability: 0.2%.

MEDIUM

Improper Resource Shutdown or Release (CWE-404)

2025-03-30 cna@vuldb.com

Denial Of Service Pytorch AI / ML Red Hat Suse

4.8

CVSS 4.0 · NVD

Severity by source

NVD PRIMARY

4.8 MEDIUM

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/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

SUSE

1.7 LOW

AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

Red Hat

3.3 LOW

qualitative

Primary rating from NVD.

CVSS VectorNVD

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/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

Attack Vector

Local

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Lifecycle Timeline

Patch released

Mar 31, 2026 - 21:13 nvd

Patch available

Analysis Generated

Mar 28, 2026 - 18:34 vuln.today

PoC Detected

Apr 22, 2025 - 12:15 vuln.today

Public exploit code

CVE Published

Mar 30, 2025 - 16:15 nvd

MEDIUM 4.8

DescriptionCVE.org

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.

AnalysisAI

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Rated medium severity (CVSS 4.8), this vulnerability is low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified under CWE-404. 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. Affected products include: Linuxfoundation Pytorch.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.