Executive Summary
| Informations | |||
|---|---|---|---|
| Name | CVE-2025-2953 | First vendor Publication | 2025-03-30 |
| Vendor | Cve | Last vendor Modification | 2025-04-22 |
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, 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. |
Original Source
| Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-2953 |
CPE : Common Platform Enumeration
| Type | Description | Count |
|---|---|---|
| Application | 1 |
Sources (Detail)
Alert History
| Date | Informations |
|---|---|
| 2025-05-27 02:56:21 |
|
| 2025-03-31 17:20:32 |
|
| 2025-03-30 21:20:31 |
|
