Homepage
About Snyk

Use of Uninitialized Variable Affecting tensorflow package, versions [2.6.0rc0,2.6.1) [2.5.0rc0,2.5.2) [,2.4.4)

0.0
high

Snyk CVSS

    Attack Complexity Low
    Confidentiality High
    Integrity High
    Availability High

    Threat Intelligence

    EPSS 0.05% (17th percentile)
Expand this section
NVD
7.8 high

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 ID SNYK-PYTHON-TENSORFLOW-1912596
  • published 7 Nov 2021
  • disclosed 7 Nov 2021
  • credit Unknown
Report a new vulnerability Found a mistake?

Introduced: 7 Nov 2021

CVE-2021-41201 Open this link in a new tab
CWE-457 Open this link in a new tab

How to fix?

Upgrade tensorflow to version 2.6.1, 2.5.2, 2.4.4 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Use of Uninitialized Variable. During execution, EinsumHelper::ParseEquation() is supposed to set the flags in input_has_ellipsis vector and *output_has_ellipsis boolean to indicate whether there is ellipsis in the corresponding inputs and output. The code only changes these flags to true and never assigns false. This results in unitialized variable access if callers assume that EinsumHelper::ParseEquation() always sets these flags.

References