CVE-2022-23561: TensorFlow TFLite Model Arbitrary Write Vulnerability
Summary
CVE-2022-23561: Out of bounds write in TFLite. 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 · PyPI
- tensorflow · PyPI
- tensorflow-gpu · PyPI
- tensorflow-cpu · PyPI
The same CVE-2022-23561 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. This vulnerability affects the TFLite model in TensorFlow, which is used for deploying machine learning models on mobile and embedded devices.
Vulnerability Detail
An attacker can exploit this vulnerability by crafting a malicious TFLite model that triggers a write outside the bounds of an array in TFLite. Specifically, the attacker can overwrite the linked list used by the memory allocator. This can lead to an arbitrary write primitive under certain conditions. The impact of this vulnerability can be severe, as it allows an attacker to manipulate memory and potentially execute arbitrary code or cause a denial of service.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.5.32.5.3 -
>= 2.6.0, < 2.6.32.6.3 -
>= 2.7.0, < 2.7.12.7.1
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Workaround
There is no known workaround for this vulnerability. It is recommended to apply the official patches provided by the TensorFlow project.
Conclusion
The TensorFlow TFLite model arbitrary write vulnerability (CVE-2022-23561) poses a significant risk to systems utilizing TensorFlow for machine learning. It is crucial to update to the latest patched versions of TensorFlow to mitigate this vulnerability. For further support and assistance with 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.
TFLite is a component of TensorFlow that allows machine learning models to be deployed on mobile and embedded devices.
An attacker can exploit this vulnerability by crafting a malicious TFLite model that triggers a write outside the bounds of an array, allowing them to manipulate memory and potentially execute arbitrary code.
The impact of this vulnerability can be severe, as it allows an attacker to manipulate memory and potentially execute arbitrary code or cause a denial of service.
Users are advised to update their TensorFlow installations to the latest patched versions (2.8.0, 2.7.1, 2.6.3, or 2.5.3) to mitigate the vulnerability.
References
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