PT-2026-59875 · Pypi · Tensorflow
Published
2026-07-09
·
Updated
2026-07-09
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Impact
The implementation of [
tf.histogram fixed width](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram op.cc) 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](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram op.cc#L35-L74) 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.
Fix
Found an issue in the description? Have something to add? Feel free to write us 👾
Related Identifiers
Affected Products
Tensorflow