Heap-based Buffer Overflow Affecting tensorflow-gpu package, versions [,1.15.4) [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
    Confidentiality High

    Threat Intelligence

    EPSS 0.21% (59th percentile)
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NVD
9.8 critical

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  • Snyk ID SNYK-PYTHON-TENSORFLOWGPU-1013544
  • published 28 Sep 2020
  • disclosed 28 Sep 2020
  • credit Aivul Team from Qihoo 360

How to fix?

Upgrade tensorflow-gpu to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or higher.

Overview

tensorflow-gpu is a machine learning framework.

Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The data_splits argument of tf.raw_ops.StringNGrams lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memoryIn the linked code snippet, all the binary strings after ee ff are contents from the memory stack.