CVE-2022-21725

Severity CVSS v4.0:

Pending analysis

Type:

CWE-369 Divide By Zero

Publication date:

03/02/2022

Last modified:

05/05/2025

Description

Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Impact

Vector 3.x

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CVSS v3.1 Severity and Metrics:

Base Score: 6.50 MEDIUM
Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Attack Vector (AV): Network
Attack Complexity (AC): Low
Privileges Required (PR): Low
User Interaction (UI): None
Scope (S): Unchanged
Confidentiality (C): None
Integrity (I): None
Availability (A): High

Base Score 3.x

6.50

Severity 3.x

MEDIUM

Vector 2.0

AV:N/AC:L/Au:S/C:N/I:N/A:P CVSS v2.0 Severity and Metrics:

Base Score: 4.00 MEDIUM
Vector: AV:N/AC:L/Au:S/C:N/I:N/A:P

Attack Vector (AV): Network
Attack Complexity (AC): Low
Authentication (Au): Single
Confidentiality (C): None
Integrity (I): None
Availability (A): Physical

Base Score 2.0

4.00

Severity 2.0

MEDIUM

Vulnerable products and versions

CPE	From	Up to
cpe:2.3:a:google:tensorflow::::::::		2.5.2 (including)
cpe:2.3:a:google:tensorflow::::::::	2.6.0 (including)	2.6.2 (including)
cpe:2.3:a:google:tensorflow:2.7.0:::::::*

To consult the complete list of CPE names with products and versions, see this page

CVE-2022-21725

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools