CVE-2021-29619: TensorFlow GPU - Segfault in SparseCountSparseOutput
Summary
CVE-2021-29619: 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
< 82e6203221865de4008445b13c69b6826d2b28d9
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-2021-29619 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 GPU is a specific package that enables GPU acceleration for TensorFlow. It allows users to leverage the power of GPUs to accelerate their machine learning workflows.
Vulnerability Detail
The vulnerability (CVE-2021-29619) affects the TensorFlow GPU package. It arises when invalid arguments are passed to the tf.raw_ops.SparseCountSparseOutput function. This issue can be discovered through fuzzing techniques. As a result of this vulnerability, a segmentation fault (segfault) occurs, leading to a crash of the application. The impact of this vulnerability can range from denial of service to potential remote code execution.
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 specific workaround mentioned for this vulnerability.
Conclusion
In conclusion, the TensorFlow GPU package is vulnerable to a segfault caused by passing invalid arguments to the tf.raw_ops.SparseCountSparseOutput function. This vulnerability can have serious consequences, including denial of service and potential remote code execution. It is recommended to update to the fixed versions of TensorFlow GPU to mitigate this vulnerability. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow is an open source platform for machine learning that provides tools and resources for building and deploying machine learning models.
TensorFlow GPU is a package that enables GPU acceleration for TensorFlow, allowing users to leverage the power of GPUs for faster machine learning workflows.
The vulnerability occurs when invalid arguments are passed to the tf.raw_ops.SparseCountSparseOutput function in TensorFlow GPU.
The impact of this vulnerability can range from denial of service to potential remote code execution.
To fix this vulnerability, update your TensorFlow GPU package to one of the fixed versions: TensorFlow 2.5.0, TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, or TensorFlow 2.1.4.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
