Which versions of Pytorch are affected by CVE-2025-3730?

CVE-2025-3730 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-2025-3730?

Yes, a public proof-of-concept exploit is available for CVE-2025-3730. Prioritise patching immediately. EPSS: 0.1%.

How to fix or mitigate CVE-2025-3730?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Vendor patch is available.

Pytorch CVE-2025-3730

Q: What is the CVSS score of CVE-2025-3730?

CVE-2025-3730 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: 0.1%.

MEDIUM

Improper Resource Shutdown or Release (CWE-404)

2025-04-16 cna@vuldb.com

Denial Of Service Pytorch AI / ML

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

Primary rating from NVD · only source for this CVE.

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

Analysis Generated

Mar 28, 2026 - 18:37 vuln.today

Patch released

Mar 28, 2026 - 18:37 nvd

Patch available

PoC Detected

May 28, 2025 - 17:35 vuln.today

Public exploit code

CVE Published

Apr 16, 2025 - 21:15 nvd

MEDIUM 4.8

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

302 pypi packages depend on torch (246 direct, 61 indirect)

Ecosystem-wide dependent count for version 2.8.0.

DescriptionCVE.org

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.

AnalysisAI

A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Rated medium severity (CVSS 4.8), this vulnerability is low attack complexity. Public exploit code available.

Technical ContextAI

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

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.