Medium

Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

  • Disclosed: 21.11.2022
  • Updated: 11.10.2026 14:18

Impact

If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:

python
np.ones((0, 2**31, 2**31))

An example of a proof of concept:

python
import numpy as np
import tensorflow as tf

input_val = tf.constant([1])
shape_val = np.array([i for i in range(21)])

tf.broadcast_to(input=input_val,shape=shape_val)

The return value of PyArray_SimpleNewFromData, which returns null on such shapes, is not checked.

Patches

We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 by Pattarakrit Rattanukul.

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) tensorflow < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
Python (PyPI) tensorflow-cpu < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
Python (PyPI) tensorflow-gpu < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1

References

CVSS score 4.8/10
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness (CWE)
CWE-670
Platform
Python (PyPI)
Package
tensorflow, tensorflow-cpu, tensorflow-gpu
Disclosed
21.11.2022
Updated
11.10.2026 14:18

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2026-1013 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-3208 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-jq6x-99hj-q636 - CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2026-3345 - 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. Seg fault in `ndarray_tensor_bridge` due to zero and large inputs this entry
    Medium · 4.8 CVE-2022-41884 < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1
  22. 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
  23. 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
  24. 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
  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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