CVE-2022-23571: TensorFlow - Denial of Service Vulnerability
Summary
CVE-2022-23571: Reachable Assertion 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 · PyPI
- tensorflow · PyPI
- tensorflow-gpu · PyPI
- tensorflow-cpu · PyPI
The same CVE-2022-23571 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 denial of service attacks.
Vulnerability Detail
The vulnerability in TensorFlow arises when decoding a tensor from protobuf. In certain cases, a CHECK assertion can be invalidated based on user-controlled arguments if the tensors have an invalid dtype and 0 elements or an invalid shape. This vulnerability allows attackers to cause denial of services in TensorFlow processes. The impact of this vulnerability can be significant, as it can disrupt the availability of TensorFlow-based applications and systems.
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 specific workaround available for this vulnerability. The recommended course of action is to apply the provided fix or update TensorFlow to the latest patched versions.
Conclusion
The vulnerability in TensorFlow can lead to denial of service attacks and disrupt the availability of TensorFlow-based applications and systems. It is crucial to update TensorFlow to the latest patched versions as soon as they become available. Regularly checking for updates and promptly applying them is essential for maintaining the security and stability of TensorFlow-based systems. 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 can lead to denial of service attacks in TensorFlow processes, potentially disrupting the availability of TensorFlow-based applications and systems.
The vulnerability affects TensorFlow versions 2.5.2, 2.6.0, 2.6.1, 2.6.2, and 2.7.0. The fix will be included in TensorFlow 2.8.0 and backported to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
No, there is no specific workaround available for this vulnerability. It is recommended to update TensorFlow to the latest patched versions.
To update TensorFlow, you can use the package manager or the installation method you used initially. Check the official TensorFlow documentation for detailed instructions on updating the framework.
References
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