CVE-2025-3730
3.3 · LOWOverview
CVE-2025-3730 is a low-severity vulnerability affecting linuxfoundation pytorch. It was published on April 16, 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, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. 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
| Vendor | Product | Versions | Status |
|---|
References
Frequently Asked Questions
What is CVE-2025-3730?
CVE-2025-3730 is a low-severity vulnerability affecting linuxfoundation pytorch. It was published on April 16, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2025-3730?
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-2025-3730?
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-2025-3730?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-3730 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
Related LOW CVEs from 2025
View all →Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerabi
A vulnerability has been found in Union Bank of India Vyom 8.0.34 on Android and classified as probl
Symlink following in the installer for Zoom Workplace App for macOS before 6.2.10 may allow an authe
In DA, there is a possible out of bounds read due to a missing bounds check. This could lead to loca
HCL Connections Docs is vulnerable to a sensitive information disclosure which could allow a user to
The MongoDB Shell may be susceptible to control character injection where an attacker with control o
Android apps can load web pages using the Custom Tabs feature. This feature supports a transition an
Information Exposure vulnerability in Hitachi JP1/IT Desktop Management 2 - Smart Device Manager on
A vulnerability has been identified in the libarchive library. This flaw involves an integer overflo
A vulnerability has been identified in the libarchive library. This flaw can be triggered when file
handcraftedinthealps goodby-csv is a highly memory efficient, flexible and extendable open-source CS
A vulnerability, which was classified as problematic, has been found in TOTOLINK T10 4.1.8cu.5207. A