Uninitialized Memory Exposure Affecting tensorflow-gpu 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. Learn more

Threat Intelligence

EPSS
0.2% (59th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWGPU-1013551
  • published29 Sept 2020
  • disclosed28 Sept 2020
  • creditUnknown

Introduced: 28 Sep 2020

CVE-2020-15192  (opens in a new tab)
CWE-201  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 2.2.1, 2.3.1 or higher.

Overview

tensorflow-gpu 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