CVE-2021-29527: TensorFlow GPU - Division by 0 in QuantizedConv2D
Summary
CVE-2021-29527: 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
< cfa91be9863a91d5105a3b4941096044ab32036b
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-2021-29527 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-2021-29527) exists in the tf.raw_ops.QuantizedConv2D function of TensorFlow GPU. An attacker can trigger a division by 0 by manipulating a controlled quantity passed to the function. The vulnerable code can be found in the TensorFlow source repository. This vulnerability can lead to a crash or unexpected behavior in applications utilizing TensorFlow GPU. The issue has been identified and a fix has been implemented in TensorFlow 2.5.0. The fix will also be backported to earlier versions (2.4.2, 2.3.3, 2.2.3, and 2.1.4) that are still within the supported range.
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 vulnerability (CVE-2021-29527) in TensorFlow GPU's tf.raw_ops.QuantizedConv2D function can be exploited to trigger a division by 0 error. This can result in crashes or unexpected behavior in applications using TensorFlow GPU. It is recommended to update to TensorFlow GPU 2.5.0 or apply the relevant patch for earlier versions (2.4.2, 2.3.3, 2.2.3, and 2.1.4) to mitigate the vulnerability. For further support on 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 can lead to a division by 0 error, resulting in a crash or unexpected behavior in applications using TensorFlow GPU.
The vulnerability affects TensorFlow GPU versions 2.1.4 and above, including 2.2.x, 2.3.x, and 2.4.x.
Yes, the vulnerability has been fixed in TensorFlow GPU 2.5.0. The fix will also be backported to earlier versions (2.4.2, 2.3.3, 2.2.3, and 2.1.4).
Users can update their TensorFlow GPU installation by following the official upgrade instructions provided by the TensorFlow project.
References
Related vulnerabilities
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