CVE-2022-23577: TensorFlow Null-Dereference Vulnerability
Summary
CVE-2022-23577: Null-dereference 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-2022-23577 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 library developed by Google, widely used for building and training machine learning models. It provides a flexible ecosystem of tools, libraries, and community resources that allows researchers and developers to create and deploy machine learning applications. However, TensorFlow has a vulnerability that can lead to a crash due to a null pointer dereference, which can be exploited by malicious users.
Vulnerability Detail
The vulnerability arises from the implementation of the GetInitOp function in TensorFlow, where a null pointer can be dereferenced if a malicious user alters the SavedModel protobuf format on disk. This can lead to a crash of the application using TensorFlow, as the code assumes that a successful search in one map guarantees success in a nested map. The potential ramifications include application instability and denial of service for users relying on TensorFlow for their machine learning tasks.
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. It is recommended to update to the patched version as soon as possible.
Conclusion
The CVE-2022-23577 vulnerability in TensorFlow poses a significant risk due to the potential for application crashes caused by null pointer dereferences. It is crucial for users to update to the latest patched versions to mitigate this risk and ensure the stability of their applications.
See every vulnerability recorded for tensorflow →
FAQ
CVE-2022-23577 is a vulnerability in TensorFlow that allows for a null pointer dereference, potentially leading to application crashes.
You can use Vulert to monitor and alert for open-source vulnerabilities in your software. Visit Vulert Scanner to check if your application is affected without requiring signup.
The vulnerability affects TensorFlow versions prior to 2.5.3, 2.6.3, and 2.7.1. Ensure you are using a patched version.
Exploitation of this vulnerability can lead to application crashes and denial of service, impacting users relying on TensorFlow.
You can update TensorFlow by running the command: pip install --upgrade tensorflow in your terminal or command prompt.
References
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