Heap-based Buffer Overflow Affecting tensorflow-gpu package, versions [2.3.0, 2.3.1)


Severity

Recommended
0.0
medium
0
10

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

Threat Intelligence

EPSS
0.1% (42nd percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWGPU-1013614
  • published29 Sept 2020
  • disclosed28 Sept 2020
  • creditUnknown

Introduced: 28 Sep 2020

CVE-2020-15198  (opens in a new tab)
CWE-122  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 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 SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed in parallel.Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.

CVSS Scores

version 3.1