CVE-2022-23560: Read and Write outside of bounds in TensorFlow
Summary
CVE-2022-23560: Read and Write outside of bounds 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-2022-23560 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 allows an attacker to craft a TFLite model, enabling limited reads and writes outside of arrays in TFLite. This vulnerability arises due to missing validation in the conversion from sparse tensors to dense tensors.
Vulnerability Detail
The vulnerability in TensorFlow allows an attacker to manipulate TFLite models to perform unauthorized reads and writes outside of arrays. By exploiting the missing validation in the conversion process, an attacker can bypass security measures and potentially access sensitive information or modify data. This vulnerability poses a significant risk to applications and systems that utilize TensorFlow for 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"
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Workaround
There is no known workaround for this vulnerability. It is recommended to update to the patched versions of TensorFlow as soon as possible.
Conclusion
The vulnerability in TensorFlow allows for unauthorized reads and writes outside of arrays, posing a significant risk to applications and systems utilizing TensorFlow. It is crucial to update to the patched versions of TensorFlow (2.8.0, 2.7.1, 2.6.3, or 2.5.3) to mitigate this vulnerability. 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. It provides tools and resources for building and deploying machine learning models.
This vulnerability allows an attacker to perform unauthorized reads and writes outside of arrays in TensorFlow, potentially leading to data manipulation or unauthorized access to sensitive information.
To fix this vulnerability, update your TensorFlow installation to one of the patched versions: TensorFlow 2.8.0, TensorFlow 2.7.1, TensorFlow 2.6.3, or TensorFlow 2.5.3.
No, there is no known workaround for this vulnerability. It is recommended to update to the patched versions of TensorFlow.
This vulnerability was reported by Wang Xuan of Qihoo 360 AIVul Team.
References
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