CVE-2022-29211

MEDIUM
Published May 21, 2022

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...

Full analysis pending. Showing NVD description excerpt.

Affected Systems

Package Ecosystem Vulnerable Range Patched
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch
tensorflow pip No patch

Severity & Risk

CVSS 3.1
5.5 / 10
EPSS
N/A
KEV Status
Not in KEV
Sophistication
N/A

Recommended Action

No patch available

Monitor for updates. Consider compensating controls or temporary mitigations.

Compliance Impact

Compliance analysis pending. Sign in for full compliance mapping when available.

Technical Details

NVD Description

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.

Weaknesses (CWE)

CVSS Vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References

Timeline

Published
May 21, 2022
Last Modified
November 21, 2024
First Seen
May 21, 2022