CVE-2021-29562: Denial of Service Vulnerability in TensorFlow-GPU
Summary
CVE-2021-29562: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-gpu across 5 version ranges.
< 1c56f53be0b722ca657cbc7df461ed676c8642a2
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
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-2021-29562 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
This vulnerability in TensorFlow-GPU allows an attacker to cause a denial of service (DoS) by exploiting a CHECK-failure originating from the implementation of tf.raw_ops.IRFFT. By triggering this vulnerability, an attacker can disrupt the normal functioning of TensorFlow-GPU, leading to service unavailability. The vulnerability affects versions 2.1.4 and above, including TensorFlow-GPU 2.4.2, which are within the supported range. The issue has been addressed in TensorFlow 2.5.0 and will also be patched in TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
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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Workaround
There is no known workaround for this vulnerability. It is advised to apply the recommended fixes as soon as possible.
Conclusion
The vulnerability in TensorFlow-GPU (CVE-2021-29562) allows an attacker to cause a denial of service by exploiting a CHECK-failure. It is crucial for users of TensorFlow-GPU to upgrade to the patched versions or apply the available patches to ensure the security and stability of their machine learning workflows. For further assistance and support in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow-GPU is a variant of TensorFlow that utilizes GPU acceleration for faster computation of machine learning models.
This vulnerability allows an attacker to cause a denial of service by exploiting a CHECK-failure in TensorFlow-GPU, resulting in service unavailability.
Versions 2.1.4 and above, including TensorFlow-GPU 2.4.2, are affected by this vulnerability.
To fix this vulnerability, it is recommended to upgrade TensorFlow-GPU to version 2.5.0. Patches are also available for TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
No, there is no known workaround for this vulnerability. It is advised to apply the recommended fixes.
References
Related vulnerabilities
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