CVE-2021-29594: TensorFlow GPU - Division by Zero Vulnerability
Summary
CVE-2021-29594: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-gpu across 5 version ranges.
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
< ff489d95a9006be080ad14feb378f2b4dac35552
Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-cpu · PyPI
The same CVE-2021-29594 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 end-to-end open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow GPU is a variant of TensorFlow that leverages GPU acceleration for faster computation. It is widely used in various industries and research domains for training and inference of deep learning models.
Vulnerability Detail
The vulnerability (CVE-2021-29594) exists in the convolution code of TensorFlow Lite (TFLite). The affected code, located in the 'conv.cc' file, performs multiple divisions where the divisor is controlled by the user and not checked for non-zero values. This oversight can lead to a division by zero error, causing the program to crash or exhibit unexpected behavior. An attacker could potentially exploit this vulnerability to cause a denial-of-service (DoS) attack or execute arbitrary code.
How To Fix
Latest published version: 2.12.0 as of 22 Oct 2026
pip install --upgrade "tensorflow-gpu==2.12.0"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.
-
< 2.1.42.1.4pip install --upgrade "tensorflow-gpu==2.1.4" -
>= 2.2.0, < 2.2.32.2.3pip install --upgrade "tensorflow-gpu==2.2.3" -
>= 2.3.0, < 2.3.32.3.3pip install --upgrade "tensorflow-gpu==2.3.3" -
>= 2.4.0, < 2.4.22.4.2pip install --upgrade "tensorflow-gpu==2.4.2"
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Conclusion
The division by zero vulnerability in TensorFlow GPU (CVE-2021-29594) can lead to program crashes, unexpected behavior, and potential security risks. It is crucial to update your TensorFlow installation to one of the fixed versions to mitigate this vulnerability. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow is an open source platform for machine learning that provides a comprehensive set of tools and libraries for developing and deploying machine learning models.
TensorFlow GPU is a variant of TensorFlow that leverages GPU acceleration for faster computation. It is commonly used for training and inference of deep learning models.
The vulnerability allows for a division by zero error in TensorFlow Lite's convolution code. This can lead to program crashes, unexpected behavior, denial-of-service attacks, or potential execution of arbitrary code.
To fix this vulnerability, update your TensorFlow installation to one of the fixed versions: TensorFlow 2.5.0, TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, or TensorFlow 2.1.4. Follow the official upgrade instructions provided by TensorFlow or use your package manager to upgrade the 'tensorflow-gpu' package.
No specific workaround has been provided for this vulnerability. It is recommended to update to the fixed versions of TensorFlow as soon as possible.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
