Vulnerability Database

318,003

Total vulnerabilities in the database

CVE-2022-29211

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.histogram_fixed_width is vulnerable to a crash when the values array contain Not a Number (NaN) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If values contains NaN then the result of the division is still NaN and the cast to int32 would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

CVSS v3:

  • Severity: Medium
  • Score: 5.5
  • AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

CVSS v2:

  • Severity: Low
  • Score: 2.1
  • AV:L/AC:L/Au:N/C:N/I:N/A:P

CWEs:

Software From Fixed in
google / tensorflow 2.7.0-rc1 2.7.0-rc1.x
google / tensorflow 2.7.0-rc0 2.7.0-rc0.x
google / tensorflow 2.7.0 2.7.2
google / tensorflow - 2.6.4
google / tensorflow 2.8.0-rc0 2.8.0-rc0.x
google / tensorflow 2.8.0-rc1 2.8.0-rc1.x
google / tensorflow 2.9.0-rc1 2.9.0-rc1.x
google / tensorflow 2.9.0-rc0 2.9.0-rc0.x
google / tensorflow 2.8.0 2.8.0.x
Python icon tensorflow - 2.6.4
Python icon tensorflow 2.7.0 2.7.2
Python icon tensorflow 2.8.0 2.8.1
Python icon tensorflow-cpu - 2.6.4
Python icon tensorflow-cpu 2.7.0 2.7.2
Python icon tensorflow-cpu 2.8.0 2.8.1
Python icon tensorflow-gpu - 2.6.4
Python icon tensorflow-gpu 2.7.0 2.7.2
Python icon tensorflow-gpu 2.8.0 2.8.1