CVE-2025-46149
5.3 · MEDIUMOverview
CVE-2025-46149 is a medium-severity vulnerability affecting linuxfoundation pytorch. It was published on September 25, 2025 and has a CVSS 3.1 base score of 5.3 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
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
| Vendor | Product | Versions | Status |
|---|---|---|---|
| linuxfoundation | pytorch | >= 2.6.0, < 2.7.0 | Affected |
Frequently Asked Questions
What is CVE-2025-46149?
CVE-2025-46149 is a medium-severity vulnerability affecting linuxfoundation pytorch. It was published on September 25, 2025 and has a CVSS 3.1 base score of 5.3 (MEDIUM).
How severe is CVE-2025-46149?
This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2025-46149?
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-2025-46149?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-46149 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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