NULL Pointer Dereference Affecting tensorflow/tensorflow package, versions [2.3.0,2.3.4)[2.4.0,2.4.3)


Severity

Recommended
0.0
high
0
10

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

Threat Intelligence

EPSS
0.04% (16th percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications

Snyk Learn

Learn about NULL Pointer Dereference vulnerabilities in an interactive lesson.

Start learning
  • Snyk IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333484
  • published12 Jan 2022
  • disclosed12 Aug 2021
  • creditUnknown

Introduced: 12 Aug 2021

CVE-2021-37681  (opens in a new tab)
CWE-476  (opens in a new tab)

How to fix?

Upgrade tensorflow/tensorflow to version 2.3.4, 2.4.3 or higher.

Overview

Affected versions of this package are vulnerable to NULL Pointer Dereference. TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of SVDF in TFLite is vulnerable to a null pointer error. The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid tensor. Furthermore, because GetVariableInput calls GetMutableInput which might return nullptr, the tensor->is_variable expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

CVSS Scores

version 3.1