Out-of-Bounds Affecting tensorflow-gpu package, versions [2.4.0,2.4.2)[2.3.0,2.3.3)[2.2.0,2.2.3)[,2.1.4)


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.09% (42nd percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWGPU-1315684
  • published1 Jul 2021
  • disclosed1 Jul 2021
  • creditUnknown

Introduced: 1 Jul 2021

CVE-2021-29607  (opens in a new tab)
CWE-119  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 2.4.2, 2.3.3, 2.2.3, 2.1.4 or higher.

Overview

tensorflow-gpu is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-Bounds. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of *_indices matches the size of corresponding *_shape. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation.

CVSS Scores

version 3.1