Heap-based Buffer Overflow Affecting tensorflow-gpu 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% (60th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWGPU-1013544
  • published28 Sept 2020
  • disclosed28 Sept 2020
  • creditAivul Team from Qihoo 360

Introduced: 28 Sep 2020

CVE-2020-15205  (opens in a new tab)
CWE-122  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, 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 data_splits argument of tf.raw_ops.StringNGrams lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memoryIn the linked code snippet, all the binary strings after ee ff are contents from the memory stack.

CVSS Scores

version 3.1