Out-of-bounds Read Affecting tensorflow package, versions [2.0.0, 2.0.3) [2.1.0, 2.1.2) [2.2.0, 2.2.1) [2.3.0, 2.3.1)


0.0
high

Snyk CVSS

    Attack Complexity High
    Scope Changed
    Integrity High
    Availability High

    Threat Intelligence

    EPSS 0.21% (59th percentile)
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NVD
9 critical

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-1013500
  • published 28 Sep 2020
  • disclosed 25 Sep 2020
  • credit Aivul Team from Qihoo 360

How to fix?

Upgrade tensorflow to version 2.0.3, 2.1.2, 2.2.1, 2.3.1 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-bounds Read. To mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption.

References