Insufficient Verification of Data Authenticity Affecting tensorflow/tensorflow package, versions [,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)

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 IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333547
  • published12 Jan 2022
  • disclosed5 Nov 2021
  • creditUnknown

Introduced: 5 Nov 2021

CVE-2021-41203  (opens in a new tab)
CWE-345  (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 Insufficient Verification of Data Authenticity. TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and CHECK-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The 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