CVE-2022-29211: Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values

Severity: medium (CVSS 5.5 v3.1)
Exploited in the wild: not listed in CISA KEV
EPSS: 0.3% probability of exploitation in the next 30 days
Public exploit or detection template: yes
Published: 2022-05-21 · updated 2026-06-17
Weakness: CWE-20

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.

Affected products

tensorflow: before 2.6.4; from 2.7.0 before 2.7.2; 2.7.0-rc0, 2.7.0-rc1, 2.8.0, 2.8.0-rc0, 2.8.0-rc1, 2.9.0-rc0 (+1) — fixed in 2.6.4, 2.7.2

How to fix

Upgrade to a fixed version: tensorflow 2.6.4, 2.7.2. Check the vendor advisory for mitigations.

References

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