CVE-2022-21737

Severity CVSS v4.0:

Pending analysis

Type:

Unavailable / Other

Publication date:

03/02/2022

Last modified:

05/05/2025

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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-2022-21737

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools