CVE-2022-23583: TensorFlow - `CHECK`-failures in binary ops
Summary
CVE-2022-23583: CHECK-failures in binary ops in Tensorflow. Affects tensorflow across 3 version ranges.
< 2.5.3
>= 2.6.0, < 2.6.3
>= 2.7.0, < 2.7.1
Fixed in 2.5.3, 2.6.3 or 2.7.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow-gpu · PyPI
- tensorflow-cpu · PyPI
The same CVE-2022-23583 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 open-source machine learning framework developed by Google. 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. However, a vulnerability has been discovered in TensorFlow that can lead to a denial of service attack.
Vulnerability Detail
The vulnerability in TensorFlow occurs when a SavedModel is modified in such a way that any binary operation triggers CHECK failures. This happens when the protobuf part corresponding to the tensor arguments is altered, causing the dtype to no longer match the expected dtype of the operation. As a result, the binary operator receives corrupted data, leading to type confusion and potential CHECK crashes. While most cases result in silent failures, there have been instances where this vulnerability has caused a denial of service.
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.
-
< 2.5.32.5.3pip install --upgrade "tensorflow==2.5.3" -
>= 2.6.0, < 2.6.32.6.3pip install --upgrade "tensorflow==2.6.3" -
>= 2.7.0, < 2.7.12.7.1pip install --upgrade "tensorflow==2.7.1"
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Workaround
There is no specific workaround mentioned for this vulnerability.
Conclusion
The vulnerability in TensorFlow that allows for CHECK-failures in binary operations has been addressed by the TensorFlow team. Users are advised to update to the latest version or apply the provided patches. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open-source machine learning framework developed by Google.
The vulnerability can lead to a denial of service attack by causing CHECK failures in binary operations.
Update to TensorFlow 2.8.0 or apply the patch for TensorFlow 2.7.1, TensorFlow 2.6.3, or TensorFlow 2.5.3.
No specific workaround has been mentioned for this vulnerability.
Please refer to the TensorFlow security guide for more details and contact information.
References
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