CVE-2025-2953
3.3 · LOWOverview
CVE-2025-2953 is a low-severity vulnerability affecting linuxfoundation pytorch. It was published on March 30, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical 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. 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.
Remediation
Check the references section for vendor advisories and patches from linuxfoundation. Update pytorch to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
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References
Frequently Asked Questions
What is CVE-2025-2953?
CVE-2025-2953 is a low-severity vulnerability affecting linuxfoundation pytorch. It was published on March 30, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2025-2953?
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-2953?
Check the references section for vendor advisories and patches from linuxfoundation. Update pytorch to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-2953?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-2953 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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