Out-of-bounds Read Affecting tensorflow/tensorflow package, versions [,2.4.4)[2.5.0,2.5.2)


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-2333555
  • published12 Jan 2022
  • disclosed5 Nov 2021
  • creditUnknown

Introduced: 5 Nov 2021

CVE-2021-41219  (opens in a new tab)
CWE-125  (opens in a new tab)

How to fix?

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

Overview

Affected versions of this package are vulnerable to Out-of-bounds Read. TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to nullptr. This occurs whenever the dimensions of a or b are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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