CVE-2022-23565: TensorFlow CHECK Failures Leading to Denial of Service
Summary
CVE-2022-23565: CHECK-failures 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-2022-23565 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 is widely used for building and deploying machine learning models across various platforms. TensorFlow supports deep learning and offers a flexible architecture that allows developers to create complex neural networks. However, like any software, it is susceptible to vulnerabilities that can affect its stability and security.
Vulnerability Detail
The vulnerability arises from CHECK-failures in TensorFlow, where an attacker can exploit assertion failures by modifying a SavedModel on disk. This alteration can lead to the duplication of AttrDefs for certain operations, ultimately causing a denial of service. The issue is significant as it can disrupt the functioning of applications relying on TensorFlow, potentially leading to service outages or crashes.
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"
Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →
Workaround
Currently, there are no specific workarounds mentioned for this vulnerability. The best course of action is to apply the available patches by upgrading to the recommended versions of TensorFlow.
Conclusion
The CVE-2022-23565 vulnerability in TensorFlow poses a significant risk by allowing denial of service through assertion failures. It is crucial for users to update to the patched versions to ensure the security and stability of their applications. Regular monitoring for vulnerabilities using tools like Vulert can help maintain a secure environment.
See every vulnerability recorded for tensorflow →
FAQ
CVE-2022-23565 is a vulnerability in TensorFlow that allows attackers to trigger denial of service through assertion failures by altering a SavedModel.
You can use Vulert's playground at Vulert Scanner to check if your application is affected by this vulnerability without needing to sign up.
The vulnerability affects TensorFlow versions prior to 2.8.0, including 2.5.3, 2.6.3, and 2.7.1.
The main consequence is a denial of service, which can disrupt applications relying on TensorFlow, leading to potential service outages.
You can update TensorFlow by running the command: pip install --upgrade tensorflow==2.8.0 in your terminal or command prompt.
References
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