https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-23T22:31:47.117587+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/cve-2022-29211 CVE-2022-29211 — Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values 2026-10-23T22:31:47.150835+00:00

Affected: tensorflow

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.

 https://cve.radiocsirt.org/vuln/ghsa-xrp2-fhq4-4q3w GHSA-xrp2-fhq4-4q3w — Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow 2026-10-23T22:31:47.150928+00:00

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### 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](https://github.com/tensorflow/tensorflow/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](…