Improper Input Validation Affecting tensorflow-cpu 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)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWCPU-1540810
  • published13 Aug 2021
  • disclosed13 Aug 2021
  • creditUnknown

Introduced: 13 Aug 2021

CVE-2021-37644  (opens in a new tab)
CWE-617  (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 Improper Input Validation as providing a negative element to num_elements list argument of tf.raw_ops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The implementation calls std::vector.resize() with the new size controlled by input given by the user, without checking that this input is valid.

References

CVSS Scores

version 3.1