Improper Validation 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
0.05% (17th percentile)

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  • Snyk IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333542
  • published12 Jan 2022
  • disclosed5 Nov 2021
  • creditUnknown

Introduced: 5 Nov 2021

CVE-2021-41206  (opens in a new tab)
CWE-354  (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 Improper Validation. TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits 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