Executive Summary
Informations | |||
---|---|---|---|
Name | CVE-2025-3730 | First vendor Publication | 2025-04-16 |
Vendor | Cve | Last vendor Modification | 2025-05-28 |
Security-Database Scoring CVSS v3
Cvss vector : CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H | |||
---|---|---|---|
Overall CVSS Score | 5.5 | ||
Base Score | 5.5 | Environmental Score | 5.5 |
impact SubScore | 3.6 | Temporal Score | 5.5 |
Exploitabality Sub Score | 1.8 | ||
Attack Vector | Local | Attack Complexity | Low |
Privileges Required | Low | User Interaction | None |
Scope | Unchanged | Confidentiality Impact | None |
Integrity Impact | None | Availability Impact | High |
Calculate full CVSS 3.0 Vectors scores |
Security-Database Scoring CVSS v2
Cvss vector : | |||
---|---|---|---|
Cvss Base Score | N/A | Attack Range | N/A |
Cvss Impact Score | N/A | Attack Complexity | N/A |
Cvss Expoit Score | N/A | Authentication | N/A |
Calculate full CVSS 2.0 Vectors scores |
Detail
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. |
Original Source
Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-3730 |
CPE : Common Platform Enumeration
Type | Description | Count |
---|---|---|
Application | 1 |
Sources (Detail)
Alert History
Date | Informations |
---|---|
2025-05-28 21:20:40 |
|
2025-05-26 21:20:50 |
|