CVE-2022-29211CWE-20

Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values

Medium · published May 20, 2022

CVSS v3.1
5.5
EPSS
0%
Percentile
23.9
In the wild
Unconfirmed
What it is

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.

The record
Technical detail
CVSS v3.1
5.5 · MEDIUM
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS v4.0
Not supplied
EPSS
0.00321 · 23.9th percentile
Weakness
CWE-20 · Improper Input Validation
Published
2022-05-20T23:20Z
EPSS history
Timeline
  • 20 MAY 23:20Z
    Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values
    cvelistv5