Uninitialized Memory Exposure Affecting tensorflow package, versions [2.2.0, 2.2.1) [2.3.0, 2.3.1)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    EPSS
    0.2% (59th percentile)

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013549
  • published 29 Sep 2020
  • disclosed 28 Sep 2020
  • credit Unknown

How to fix?

Upgrade tensorflow to version 2.2.1, 2.3.1 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Uninitialized Memory Exposure. If a user passes a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure.The issue occurs because the status argument during validation failures is not properly checked.Since each of the above methods can return an error status, the status value must be checked before continuing.

CVSS Scores

version 3.1
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Snyk

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

NVD

4.3 medium