Improper Input Validation Affecting tensorflow-cpu package, versions [2.3.0, 2.3.1)


Severity

Recommended
0.0
medium
0
10

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

Threat Intelligence

EPSS
0.26% (65th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWCPU-1013460
  • published28 Sept 2020
  • disclosed25 Sept 2020
  • creditAivul Team from Qihoo 360

Introduced: 25 Sep 2020

CVE-2020-15199  (opens in a new tab)
CWE-20  (opens in a new tab)

How to fix?

Upgrade tensorflow-cpu to version 2.3.1 or higher.

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Improper Input Validation. The RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Since BatchedMap is equivalent to a vector, it needs to have at least one element to not be nullptr. If user passes a splits tensor that is empty or has exactly one element, we get a SIGABRT signal raised by the operating system.

References

CVSS Scores

version 3.1