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


0.0
medium

Snyk CVSS

    Attack Complexity High
    Availability High

    Threat Intelligence

    EPSS 0.22% (60th percentile)
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NVD
5.9 medium

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013461
  • published 28 Sep 2020
  • disclosed 25 Sep 2020
  • credit Aivul Team from Qihoo 360

How to fix?

Upgrade tensorflow to version 2.3.1 or higher.

Overview

tensorflow 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