NULL Pointer Dereference Affecting tensorflow-gpu package, versions [2.5.0,2.5.1)[2.4.0,2.4.3)[,2.3.4)


Severity

Recommended
0.0
high
0
10

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

Threat Intelligence

EPSS
0.04% (15th 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-PYTHON-TENSORFLOWGPU-1540814
  • published13 Aug 2021
  • disclosed13 Aug 2021
  • creditUnknown

Introduced: 13 Aug 2021

CVE-2021-37659  (opens in a new tab)
CWE-476  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 2.5.1, 2.4.3, 2.3.4 or higher.

Overview

tensorflow-gpu is a machine learning framework.

Affected versions of this package are vulnerable to NULL Pointer Dereference. An attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr.

References

CVSS Scores

version 3.1