CVE-2022-21727

Severity CVSS v4.0:

Pending analysis

Type:

CWE-190 Integer Overflow or Wraparound

Publication date:

03/02/2022

Last modified:

05/05/2025

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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:L/I:L/A:H CVSS v3.1 Severity and Metrics:

Base Score: 7.60 HIGH
Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H

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

Base Score 3.x

7.60

Severity 3.x

HIGH

Vector 2.0

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

Base Score: 6.50 MEDIUM
Vector: AV:N/AC:L/Au:S/C:P/I:P/A:P

Attack Vector (AV): Network
Attack Complexity (AC): Low
Authentication (Au): Single
Confidentiality (C): Physical
Integrity (I): Physical
Availability (A): Physical

Base Score 2.0

6.50

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-2022-21727

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools