Executive Summary
| Informations | |||
|---|---|---|---|
| Name | CVE-2020-26270 | First vendor Publication | 2020-12-10 |
| Vendor | Cve | Last vendor Modification | 2024-11-21 |
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:L | |||
|---|---|---|---|
| Overall CVSS Score | 3.3 | ||
| Base Score | 3.3 | Environmental Score | 3.3 |
| impact SubScore | 1.4 | Temporal Score | 3.3 |
| 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 | Low |
| Calculate full CVSS 3.0 Vectors scores | |||
Security-Database Scoring CVSS v2
| Cvss vector : (AV:L/AC:L/Au:N/C:N/I:N/A:P) | |||
|---|---|---|---|
| Cvss Base Score | 2.1 | Attack Range | Local |
| Cvss Impact Score | 2.9 | Attack Complexity | Low |
| Cvss Expoit Score | 3.9 | Authentication | None Required |
| Calculate full CVSS 2.0 Vectors scores | |||
Detail
| In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0. |
Original Source
| Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26270 |
CWE : Common Weakness Enumeration
| % | Id | Name |
|---|---|---|
| 100 % | CWE-20 | Improper Input Validation |
CPE : Common Platform Enumeration
| Type | Description | Count |
|---|---|---|
| Application | 5 |
Sources (Detail)
| Source | Url |
|---|
Alert History
| Date | Informations |
|---|---|
| 2024-11-28 13:42:44 |
|
| 2021-08-18 01:38:16 |
|
| 2021-05-04 13:50:23 |
|
| 2021-04-22 03:02:16 |
|
| 2020-12-14 21:23:20 |
|
| 2020-12-11 09:22:49 |
|
| 2020-12-11 05:22:48 |
|
