Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlow
Medium5.5CVE-2022-29211 · Published May 24, 2022 · updated Jul 13, 2026
### 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/e57fd69...
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.6.4 | 2.6.4 |
| >= 2.7.0, < 2.7.2 | 2.7.2 | |
| >= 2.8.0, < 2.8.1 | 2.8.1 |
Details and references
### 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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) 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](https://github.com/tensorflow/tensorflow/issues/45770).
- CVSS 3.1
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-20
- Also known as
- BIT-tensorflow-2022-29211, CVE-2022-29211, PYSEC-2026-1048, PYSEC-2026-3260, PYSEC-2026-3382
- github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w
- nvd.nist.gov/vuln/detail/CVE-2022-29211
- github.com/tensorflow/tensorflow/issues/45770
- github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc
- github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74
- github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- github.com/tensorflow/tensorflow/releases/tag/v2.9.0
More TensorFlow advisories
All TensorFlow| Date | Advisory | Severity | Fixed in |
|---|---|---|---|
| May 242022 | Code injection in `saved_model_cli` in TensorFlow | High7.8 | 2.6.4+2 more |
| May 242022 | Incomplete validation in signal ops leads to crashes in TensorFlow | Medium5.5 | 2.6.4+2 more |
| May 242022 | Core dump when loading TFLite models with quantization in TensorFlow | Medium5.5 | 2.6.4+2 more |
| May 242022 | Heap buffer overflow due to incorrect hash function in TensorFlow | Medium5.5 | 2.8.1 |
| May 242022 | Type confusion leading to `CHECK`-failure based denial of service in TensorFlow | Medium5.5 | 2.6.4+2 more |
| May 242022 | Segfault and OOB write due to incomplete validation in `EditDistance` in TensorFlow | High7.1 | 2.6.4+2 more |