CVE-2021-29526

Severity CVSS v4.0:

Pending analysis

Type:

CWE-369 Divide By Zero

Publication date:

14/05/2021

Last modified:

20/05/2021

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Impact

Vector 3.x

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

Base Score: 5.50 MEDIUM
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Attack Vector (AV): Local
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

5.50

Severity 3.x

MEDIUM

Vector 2.0

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

Base Score: 2.10 LOW
Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P

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

Base Score 2.0

2.10

Severity 2.0

LOW

Vulnerable products and versions

CPE	From	Up to
cpe:2.3:a:google:tensorflow::::::::		2.1.4 (excluding)
cpe:2.3:a:google:tensorflow::::::::	2.2.0 (including)	2.2.3 (excluding)
cpe:2.3:a:google:tensorflow::::::::	2.3.0 (including)	2.3.3 (excluding)
cpe:2.3:a:google:tensorflow::::::::	2.4.0 (including)	2.4.2 (excluding)

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

CVE-2021-29526

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools