CVE-2021-29526: TensorFlow Division by Zero Vulnerability
Summary
CVE-2021-29526: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow 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
< b12aa1d44352de21d1a6faaf04172d8c2508b42b
Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
The same CVE-2021-29526 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 building and deploying machine learning models. TensorFlow is widely used in various domains, including research, industry, and academia. This vulnerability affects the TensorFlow package, specifically the tf.raw_ops.Conv2D function.
Vulnerability Detail
The vulnerability in TensorFlow arises from a division by zero in the tf.raw_ops.Conv2D function. The implementation of this function performs a division operation using a value controlled by the caller. An attacker can exploit this vulnerability by providing a malicious input that triggers a division by zero. This can lead to a crash or potentially allow the attacker to execute arbitrary code in the context of the TensorFlow application. The vulnerability has been assigned the identifier CVE-2021-29526.
How To Fix
Latest published version: 2.21.0 as of 22 Oct 2026
pip install --upgrade "tensorflow==2.21.0"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==2.1.4" -
>= 2.2.0, < 2.2.32.2.3pip install --upgrade "tensorflow==2.2.3" -
>= 2.3.0, < 2.3.32.3.3pip install --upgrade "tensorflow==2.3.3" -
>= 2.4.0, < 2.4.22.4.2pip install --upgrade "tensorflow==2.4.2"
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Workaround
There is no known workaround for this vulnerability. It is recommended to apply the provided fix by updating to the patched versions of TensorFlow.
Conclusion
In conclusion, the TensorFlow package is vulnerable to a division by zero vulnerability in the tf.raw_ops.Conv2D function. This vulnerability can lead to a crash or potential code execution. It is crucial to update to the patched versions of TensorFlow to mitigate this vulnerability. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning that provides a comprehensive set of tools and libraries for building and deploying machine learning models.
This vulnerability can lead to a crash of the TensorFlow application or potentially allow an attacker to execute arbitrary code in the context of the application.
The vulnerability affects TensorFlow versions 2.1.4 and above, including TensorFlow 2.5.0.
No, there are no known workarounds for this vulnerability. It is recommended to update to the patched versions of TensorFlow.
You can update your TensorFlow installation by using the package manager or manually installing the updated version from the official TensorFlow repository.
References
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