CVE-2022-29207: TensorFlow - Undefined behavior when users supply invalid resource handles
Summary
CVE-2022-29207: Undefined behavior when users supply invalid resource handles. Affects tensorflow across 3 version ranges.
< 2.6.4
>= 2.7.0, < 2.7.2
>= 2.8.0, < 2.8.1
Fixed in 2.6.4, 2.7.2 or 2.8.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
- tensorflow · Bitnami
The same CVE-2022-29207 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
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Background
TensorFlow is an open-source machine learning framework that provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. It is widely used in various domains, including research, industry, and academia. TensorFlow allows users to build and execute computational graphs, enabling efficient training and inference of machine learning models. However, a vulnerability has been identified in TensorFlow that can lead to undefined behavior when users supply invalid resource handles.
Vulnerability Detail
The vulnerability in TensorFlow arises when certain operations are performed in eager mode with an invalid resource handle. In graph mode, these API calls would not be possible, but the migration to TensorFlow 2.x eager mode has exposed this vulnerability. If an empty resource handle is provided, a reference is bound to a null pointer within the TensorFlow codebase, resulting in undefined behavior. This vulnerability can have various ramifications depending on the specific operations being performed, potentially leading to crashes, memory corruption, or other unexpected behavior.
How To Fix
Latest published version: 2.21.0 as of 22 Oct 2026
pip install --upgrade "tensorflow==2.21.0"Upgrading to it may include breaking changes; the versions below are the minimum fixed release for this vulnerability.
If you can't move to the latest
The minimum fixed version depends on the release line you run.
-
< 2.6.42.6.4pip install --upgrade "tensorflow==2.6.4" -
>= 2.7.0, < 2.7.22.7.2pip install --upgrade "tensorflow==2.7.2" -
>= 2.8.0, < 2.8.12.8.1pip install --upgrade "tensorflow==2.8.1"
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Workaround
There is no specific workaround provided for this vulnerability. Users are advised to update their TensorFlow installation to the fixed versions mentioned above.
Conclusion
The vulnerability in TensorFlow that allows undefined behavior when users supply invalid resource handles has been addressed by the TensorFlow development team. Users are advised to update their TensorFlow installation to the fixed versions mentioned above. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open-source machine learning framework that provides tools and resources for developing and deploying machine learning models.
The vulnerability can lead to undefined behavior in TensorFlow operations, potentially resulting in crashes, memory corruption, or other unexpected behavior.
To fix this vulnerability, update your TensorFlow installation to one of the fixed versions: TensorFlow 2.9.0, TensorFlow 2.8.1, TensorFlow 2.7.2, or TensorFlow 2.6.4.
No specific workaround has been provided for this vulnerability. Updating to the fixed versions is the recommended solution.
For more information regarding TensorFlow security, please consult the https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
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