CVE-2021-29546: TensorFlow GPU - Integer Division by Zero in QuantizedBiasAdd
Summary
CVE-2021-29546: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-gpu across 5 version ranges.
>= 2.2.0, < 2.3.0rc0
< 2.2.0rc0
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
< 67784700869470d65d5f2ef20aeb5e97c31673cb
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-2021-29546 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 the power of GPUs for accelerated computation. It is widely used in various industries and research domains for training and inference of machine learning models.
Vulnerability Detail
The vulnerability (CVE-2021-29546) exists in the tf.raw_ops.QuantizedBiasAdd function of TensorFlow GPU. An attacker can trigger an integer division by zero undefined behavior due to a flaw in the implementation of the Eigen kernel. The kernel performs a division by the number of elements of the smaller input without checking if it is zero. This vulnerability can lead to unexpected program behavior, crashes, or potentially allow an attacker to 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.
-
< 2.2.0rc02.2.0rc0pip install --upgrade "tensorflow-gpu==2.2.0rc0" -
>= 2.2.0, < 2.3.0rc02.3.0rc0pip install --upgrade "tensorflow-gpu==2.3.0rc0" -
>= 2.3.0, < 2.3.42.3.4pip install --upgrade "tensorflow-gpu==2.3.4" -
>= 2.4.0, < 2.4.32.4.3pip install --upgrade "tensorflow-gpu==2.4.3"
Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →
Workaround
There is no known workaround for this vulnerability. It is recommended to apply the fix by upgrading TensorFlow GPU to the fixed version.
Conclusion
The vulnerability (CVE-2021-29546) in TensorFlow GPU allows an attacker to trigger an integer division by zero undefined behavior. It is crucial to upgrade to the fixed version or apply the backported fix to ensure the security and stability of your TensorFlow GPU installation. For further support on vulnerability remediation, you can reach out to DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow is an open source platform for machine learning that provides tools and libraries for developing and deploying machine learning models.
TensorFlow GPU is a variant of TensorFlow that utilizes GPUs for accelerated computation, making it suitable for training and inference of machine learning models.
This vulnerability can lead to unexpected program behavior, crashes, or potentially allow an attacker to execute arbitrary code.
To fix this vulnerability, upgrade your TensorFlow GPU installation to the fixed version mentioned in the advisory.
There is no known workaround for this vulnerability. It is recommended to apply the fix by upgrading TensorFlow GPU.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
