CVE-2021-29528: Division by 0 in TensorFlow-GPU
Summary
CVE-2021-29528: 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
< a1b11d2fdd1e51bfe18bb1ede804f60abfa92da6
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-2021-29528 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
Check if this vulnerability affects your application
Upload a manifest or SBOM and we'll show whether you're affected, plus every other risky package in the same scan.
No signup required · Results in about 60 seconds
Background
TensorFlow-GPU is an open-source platform for machine learning. It provides a comprehensive ecosystem for developing and deploying machine learning models. TensorFlow-GPU allows users to leverage the power of GPUs for accelerated training and inference. This vulnerability affects versions 2.1.4 and above of TensorFlow-GPU.
Vulnerability Detail
The vulnerability (CVE-2021-29528) in TensorFlow-GPU arises from a division by zero in the tf.raw_ops.QuantizedMul function. The implementation of this function performs a division operation using a value controlled by the caller, which can be manipulated by an attacker. By providing a specific input, an attacker can trigger a division by zero, leading to a potential crash or other unintended consequences. The vulnerability 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"
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 essential to update to the patched version of TensorFlow-GPU to mitigate the risk.
Conclusion
The division by zero vulnerability in TensorFlow-GPU (CVE-2021-29528) can be mitigated by updating to the patched version. It is crucial to keep your software up to date to ensure the security and stability of your machine learning applications. For further support on vulnerability remediation, you can reach out to DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow-GPU is an open-source platform for machine learning that utilizes GPUs for accelerated training and inference.
This vulnerability allows an attacker to trigger a division by zero in TensorFlow-GPU, potentially leading to crashes or other unintended consequences.
Versions 2.1.4 and above of TensorFlow-GPU are affected by this vulnerability.
To fix this vulnerability, update TensorFlow-GPU to version 2.5.0 or the corresponding fixed version for your current version.
No, there is no known workaround for this vulnerability. Updating to the patched version is the recommended solution.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
