Improper Input Validation Affecting tensorflow/tensorflow package, versions [2.2.0, 2.2.1)[2.3.0, 2.3.1)


Severity

Recommended
0.0
medium
0
10

CVSS assessment by Snyk's Security Team. Learn more

Threat Intelligence

Exploit Maturity
Proof of Concept
EPSS
0.83% (54th percentile)

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  • Snyk IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333505
  • published12 Jan 2022
  • disclosed25 Sept 2020
  • creditUnknown

Introduced: 25 Sep 2020

CVE-2020-15192  (opens in a new tab)
CWE-20  (opens in a new tab)

How to fix?

Upgrade tensorflow/tensorflow to version 2.2.1, 2.3.1 or higher.

Overview

Affected versions of this package are vulnerable to Improper Input Validation. In Tensorflow before versions 2.2.1 and 2.3.1, 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. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

Note: Please refer to https://security.snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1013549

CVSS Base Scores

version 3.1