Executive Summary

Informations
Name CVE-2022-35938 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 or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. 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-2022-35938

CPE : Common Platform Enumeration

TypeDescriptionCount
Application 29

Sources (Detail)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3m3g-pf5v-5hpj
https://github.com/tensorflow/tflite-micro/blob/1bc98621180a350eb4e8d3318ea8e...
https://github.com/tensorflow/tflite-micro/commit/4142e47e9e31db481781b955ed3...
Source Url

Alert History

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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
  • First insertion