Out-of-Bounds Affecting tensorflow package, versions [,1.15.4)[2.0.0, 2.0.3)[2.1.0, 2.1.2)[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
0.21% (59th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOW-1013502
  • published28 Sept 2020
  • disclosed25 Sept 2020
  • creditAivul Team from Qihoo 360

Introduced: 25 Sep 2020

CVE-2020-15208  (opens in a new tab)
CWE-119  (opens in a new tab)

How to fix?

Upgrade tensorflow to version 1.15.4, 2.0.3, 2.1.2, 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. When determining the common dimension size of two tensors, TFLite uses a DCHECK which is no-op outside of debug compilation modes.

Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. .

CVSS Scores

version 3.1