NULL Pointer Dereference Affecting tensorflow-gpu package, versions [,2.5.3) [2.6.0,2.6.3) [2.7.0,2.7.1)


0.0
medium

Snyk CVSS

    Attack Complexity Low
    Availability High

    Threat Intelligence

    EPSS 0.14% (50th percentile)
Expand this section
NVD
6.5 medium

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  • Snyk ID SNYK-PYTHON-TENSORFLOWGPU-2395444
  • published 7 Feb 2022
  • disclosed 7 Feb 2022
  • credit Unknown

How to fix?

Upgrade tensorflow-gpu to version 2.5.3, 2.6.3, 2.7.1 or higher.

Overview

tensorflow-gpu is a machine learning framework.

Affected versions of this package are vulnerable to NULL Pointer Dereference during the process of decoding a tensor from protobuf. If attributes of some mutable arguments to some operations are missing from the proto a null pointer dereference occurs. This should be taken care of by a DCHECK, however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure.