Use After Free Affecting tensorflow-cpu 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 Use After Free vulnerabilities in an interactive lesson.

Start learning
  • Snyk IDSNYK-PYTHON-TENSORFLOWCPU-1540786
  • published13 Aug 2021
  • disclosed13 Aug 2021
  • creditUnknown

Introduced: 13 Aug 2021

CVE-2021-37652  (opens in a new tab)
CWE-416  (opens in a new tab)

How to fix?

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

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Use After Free. The implementation for tf.raw_ops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent free-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed.

References

CVSS Scores

version 3.1