Integer Overflow Affecting tensorflow package, versions [2.5.0,2.5.1)[2.4.0,2.4.3)[,2.3.4)


Severity

Recommended
0.0
medium
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 IDSNYK-PYTHON-TENSORFLOW-1540758
  • published13 Aug 2021
  • disclosed13 Aug 2021
  • creditUnknown

Introduced: 13 Aug 2021

CVE-2021-37646  (opens in a new tab)
CWE-681  (opens in a new tab)

How to fix?

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

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Integer Overflow. The implementation of tf.raw_ops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation calls reserve on a tstring with a value that sometimes can be negative if user supplies negative ngram_widths. The reserve method calls TF_TString_Reserve which has an unsigned long argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer.

References

CVSS Scores

version 3.1