Executive Summary
| Informations | |||
|---|---|---|---|
| Name | CVE-2022-35937 | First vendor Publication | 2022-09-16 |
| Vendor | Cve | Last vendor Modification | 2024-11-21 |
Security-Database Scoring CVSS v3
| Cvss vector : CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H | |||
|---|---|---|---|
| Overall CVSS Score | 9.1 | ||
| Base Score | 9.1 | Environmental Score | 9.1 |
| impact SubScore | 5.2 | Temporal Score | 9.1 |
| Exploitabality Sub Score | 3.9 | ||
| Attack Vector | Network | Attack Complexity | Low |
| Privileges Required | None | User Interaction | None |
| Scope | Unchanged | Confidentiality Impact | High |
| 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
| TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. |
Original Source
| Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35937 |
CPE : Common Platform Enumeration
Sources (Detail)
Alert History
| Date | Informations |
|---|---|
| 2025-06-26 02:03:49 |
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| 2025-06-25 12:20:01 |
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| 2025-03-29 03:08:55 |
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| 2025-03-28 13:32:29 |
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| 2024-11-28 14:13:55 |
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| 2024-08-02 13:39:58 |
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| 2024-08-02 01:30:14 |
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| 2024-02-02 02:37:48 |
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| 2024-02-01 12:27:39 |
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| 2023-09-05 13:32:24 |
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| 2023-09-05 01:27:04 |
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| 2023-09-02 13:30:38 |
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| 2023-09-02 01:27:28 |
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| 2023-08-12 13:37:46 |
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| 2023-08-12 01:26:46 |
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| 2023-08-11 13:28:23 |
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| 2023-08-11 01:27:36 |
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| 2023-08-06 13:26:09 |
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| 2023-08-06 01:26:29 |
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| 2023-08-04 13:26:34 |
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| 2023-08-04 01:26:50 |
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| 2023-07-14 13:26:33 |
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| 2023-07-14 01:26:33 |
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| 2023-03-29 02:27:09 |
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| 2023-03-28 12:26:36 |
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| 2022-10-11 13:15:04 |
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| 2022-10-11 01:25:26 |
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| 2022-09-21 21:27:20 |
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| 2022-09-20 21:27:12 |
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| 2022-09-17 00:27:13 |
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