Out-of-bounds Read Affecting tensorflow-cpu package, versions [2.7.0rc0,2.7.0)[2.6.0,2.6.1)[2.5.0,2.5.2)[,2.4.4)


Severity

Recommended
0.0
high
0
10

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

Threat Intelligence

EPSS
0.05% (20th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOWCPU-1912590
  • published7 Nov 2021
  • disclosed7 Nov 2021
  • creditUnknown

Introduced: 7 Nov 2021

CVE-2021-41211  (opens in a new tab)
CWE-125  (opens in a new tab)

How to fix?

Upgrade tensorflow-cpu to version 2.7.0, 2.6.1, 2.5.2, 2.4.4 or higher.

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to Out-of-bounds Read in the shape inference code for QuantizeV2. This occurs whenever axis is a negative value less than -1. In this case, we are accessing data before the start of a heap buffer. The code allows axis to be an optional argument (s would contain an error::NOT_FOUND error code). Otherwise, it assumes that axis is a valid index into the dimensions of the input tensor. If axis is less than -1 then this results in a heap OOB read.

References

CVSS Scores

version 3.1