Use of Uninitialized Resource Affecting tensorflow/tensorflow package, versions [2.4.0,2.4.4)[2.5.0,2.5.2)[2.6.0,2.6.1)


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.04% (6th percentile)

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  • Snyk IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333564
  • published12 Jan 2022
  • disclosed5 Nov 2021
  • creditUnknown

Introduced: 5 Nov 2021

CVE-2021-41225  (opens in a new tab)
CWE-908  (opens in a new tab)

How to fix?

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

Overview

Affected versions of this package are vulnerable to Use of Uninitialized Resource. TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the train_nodes vector (obtained from the saved model that gets optimized) does not contain a Dequeue node, then dequeue_node is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

CVSS Scores

version 3.1