Out-of-bounds Write Affecting tensorflow package, versions [2.2.0, 2.2.1)[2.3.0, 2.3.1)


Severity

Recommended
0.0
high
0
10

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

Threat Intelligence

EPSS
0.31% (70th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOW-1013541
  • published28 Sept 2020
  • disclosed28 Sept 2020
  • creditAivul Team from Qihoo 360

Introduced: 28 Sep 2020

CVE-2020-15214  (opens in a new tab)
CWE-787  (opens in a new tab)

How to fix?

Upgrade tensorflow to version 2.2.1, 2.3.1 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-bounds Write. Models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor.This results in allocating insufficient memory for the output tensor and in a write outside the bounds of the output array.This usually results in a segmentation fault, but depending on runtime conditions it can provide for a write gadget to be used in future memory corruption-based exploits.e.

CVSS Scores

version 3.1