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


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.05% (19th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-1912597
  • published 7 Nov 2021
  • disclosed 7 Nov 2021
  • credit Unknown

How to fix?

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

Overview

tensorflow-cpu 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

CVSS Scores

version 3.1
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Snyk

Recommended
7.8 high
  • Attack Vector (AV)
    Local
  • Attack Complexity (AC)
    Low
  • Privileges Required (PR)
    Low
  • User Interaction (UI)
    None
  • Scope (S)
    Unchanged
  • Confidentiality (C)
    High
  • Integrity (I)
    High
  • Availability (A)
    High
Expand this section

NVD

7.8 high