Improper Input Validation Affecting tensorflow-gpu package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)


0.0
medium

Snyk CVSS

    Attack Complexity Low
    Availability High

    Threat Intelligence

    EPSS 0.04% (11th percentile)
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NVD
5.5 medium

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  • Snyk ID SNYK-PYTHON-TENSORFLOWGPU-1540811
  • published 13 Aug 2021
  • disclosed 13 Aug 2021
  • credit Unknown

How to fix?

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

Overview

tensorflow-gpu 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