Division by zero Affecting tensorflow-gpu package, versions [,2.5.3)[2.6.0,2.6.3)[2.7.0,2.7.1)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.16% (54th percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications
  • Snyk IDSNYK-PYTHON-TENSORFLOWGPU-2393366
  • published3 Feb 2022
  • disclosed3 Feb 2022
  • creditWang Xuan

Introduced: 3 Feb 2022

CVE-2022-21741  (opens in a new tab)
CWE-369  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 2.5.3, 2.6.3, 2.7.1 or higher.

Overview

tensorflow-gpu is a machine learning framework.

Affected versions of this package are vulnerable to Division by zero via a specially crafted TFLite model that would trigger the division in the implementation of depthwise convolutions. The parameters of the convolution can be user-controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive.

CVSS Scores

version 3.1