CVE-2021-29555: Denial of Service in TensorFlow-GPU
Summary
CVE-2021-29555: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-gpu across 5 version ranges.
< 1a2a87229d1d61e23a39373777c056161eb4084d
< 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-2021-29555 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
A denial of service vulnerability exists in TensorFlow-GPU due to a flaw in the tf.raw_ops.FusedBatchNorm function. The implementation of this function performs a division operation based on the last dimension of the input tensor x. An attacker can exploit this by providing a manipulated input tensor, leading to a runtime error and causing a denial of service. The vulnerability can be triggered by a malicious user and may result in the unavailability of the TensorFlow-GPU service, impacting the availability of machine learning applications relying on it.
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 recommended to apply the fix by updating TensorFlow-GPU to the latest version.
Conclusion
The denial of service vulnerability in TensorFlow-GPU can be mitigated by updating to the latest version of the package. It is crucial for users to promptly apply the fix to ensure the availability and security of their machine learning applications. For further support and assistance 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.
The vulnerability can be exploited by a malicious user to cause a denial of service, resulting in the unavailability of TensorFlow-GPU and impacting machine learning applications relying on it.
To fix the vulnerability, update your TensorFlow-GPU installation to the latest version available using the command 'pip install --upgrade tensorflow-gpu'.
There are no known workarounds for this vulnerability. It is recommended to apply the fix by updating TensorFlow-GPU to the latest version.
No, this vulnerability specifically affects TensorFlow-GPU, which is a variant of TensorFlow optimized for GPU acceleration.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
