Heap-based Buffer Overflow Affecting tensorflow-gpu package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)


0.0
high

Snyk CVSS

    Attack Complexity Low
    Confidentiality High
    Availability High

    Threat Intelligence

    EPSS 0.04% (11th percentile)
Expand this section
NVD
7.3 high

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications
  • Snyk ID SNYK-PYTHON-TENSORFLOWGPU-1540823
  • 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 Heap-based Buffer Overflow. An attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.raw_ops.ResourceScatterUpdate. The implementation has an incomplete validation of the relationship between the shapes of indices and updates: instead of checking that the shape of indices is a prefix of the shape of updates (so that broadcasting can happen), code only checks that the number of elements in these two tensors are in a divisibility relationship.

References