Medium

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

  • Disclosed: 24.05.2022
  • Updated: 11.10.2026 14:18

Impact

The implementation of tf.histogram_fixed_width is vulnerable to a crash when the values array contain NaN elements:

python
import tensorflow as tf
import numpy as np

tf.histogram_fixed_width(values=np.nan, value_range=[1,2])

The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index:

cc
index_to_bin.device(d) =
    ((values.cwiseMax(value_range(0)) - values.constant(value_range(0)))
         .template cast<double>() /
     step)
        .cwiseMin(nbins_minus_1)
        .template cast<int32>();

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.

Patches

We have patched the issue in GitHub commit e57fd691c7b0fd00ea3bfe43444f30c1969748b5.

The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported externally via a GitHub issue.

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) tensorflow < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
Python (PyPI) tensorflow-cpu < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
Python (PyPI) tensorflow-gpu < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1

References

CVSS score 5.5/10
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Weakness (CWE)
CWE-20
Platform
Python (PyPI)
Package
tensorflow, tensorflow-cpu, tensorflow-gpu
Disclosed
24.05.2022
Updated
11.10.2026 14:18

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2026-1048 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-3260 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-xrp2-fhq4-4q3w - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-3382 - PyPA Advisory Database; CC BY 4.0

Vulnerability history: tensorflow-cpu

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (430) in the archive
Total entries
430
First → latest
04.2019 07.2024
Without a fix
0
Exploited in attacks
0

Severity breakdown

  • Critical 6
  • High 111
  • Medium 208
  • Low 105

Disclosures per year

  1. 2019: 7
  2. 2020: 35
  3. 2021: 200
  4. 2022: 166
  5. 2023: 21
  6. 2024: 1
  7. 2025: 0
  8. 2026: 0
Severity:
  1. High · 7.5 CVE-2023-33976 < 2.12.1 2.12.1
  2. High · 7.5 CVE-2023-25659 < 2.11.1 2.11.1
  3. High · 7.5 CVE-2023-25660 < 2.11.1 2.11.1
  4. High · 7.5 CVE-2023-25662 < 2.11.1 2.11.1
  5. High · 7.5 CVE-2023-25663 < 2.11.1 2.11.1
  6. High · 7.5 CVE-2023-25664 < 2.11.1 2.11.1
  7. High · 7.5 CVE-2023-25665 < 2.11.1 2.11.1
  8. High · 7.5 CVE-2023-25666 < 2.11.1 2.11.1
  9. High · 7.5 CVE-2023-25669 < 2.11.1 2.11.1
  10. High · 7.5 CVE-2023-25671 < 2.11.1 2.11.1
  11. High · 7.5 CVE-2023-25672 < 2.11.1 2.11.1
  12. High · 7.5 CVE-2023-25673 < 2.11.1 2.11.1
  13. High · 7.5 CVE-2023-25674 < 2.11.1 2.11.1
  14. High · 7.5 CVE-2023-25675 < 2.11.1 2.11.1
  15. High · 7.5 CVE-2023-25676 < 2.11.1 2.11.1
  16. High · 8.0 CVE-2023-25801 < 2.11.1 2.11.1
  17. High · 7.5 CVE-2023-27579 < 2.11.1 2.11.1
  18. High · 7.5 CVE-2023-25658 < 2.11.1 2.11.1
  19. High · 7.1 CVE-2022-41902 < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
  20. High · 7.1 CVE-2022-41900 < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
  21. High · 7.0 CVE-2022-35939 < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1
  22. High · 7.0 CVE-2022-35937 < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1
  23. High · 7.8 CVE-2022-29216 < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
  24. Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow this entry
    Medium · 5.5 CVE-2022-29211 < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
  25. High · 7.1 CVE-2022-29208 < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1 2.6.4, 2.7.2, 2.8.1
  26. Critical · 9.3 ghsa-h6gw-r52c-724r < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  27. High · 7.0 ghsa-43q8-3fv7-pr5x < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1
  28. High · 8.8 CVE-2022-23594 >= 2.7.0, < 2.7.1 2.7.1
  29. High · 8.8 CVE-2022-23560 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  30. High · 7.1 CVE-2022-23563 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  31. High · 8.1 CVE-2022-23592 >= 2.7.0, < 2.8.0 2.8.0
  32. High · 7.5 CVE-2022-23591 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  33. High · 8.8 CVE-2022-23574 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  34. High · 7.6 CVE-2022-23573 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  35. High · 7.6 CVE-2022-23562 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  36. High · 8.8 CVE-2022-23561 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  37. High · 8.8 CVE-2022-23559 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
  38. High · 8.8 CVE-2022-23566 < 2.5.3, >= 2.6.0, < 2.6.3 2.5.3, 2.6.3
Show more (20) Showing 40 of 118

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