CVE-2022-23579: Denial of Service Vulnerability in TensorFlow
Summary
CVE-2022-23579: CHECK-failures during Grappler's SafeToRemoveIdentity 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-2022-23579 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 versions 2.5.2 to 2.6.2 and 2.7.0 of TensorFlow.
Vulnerability Detail
The Grappler optimizer in TensorFlow is susceptible to a denial of service vulnerability. By manipulating a SavedModel, an attacker can trigger CHECK failures in the SafeToRemoveIdentity function of the optimizer. This can lead to a denial of service condition, causing the affected TensorFlow application to become unresponsive or crash. The vulnerability has been assigned CVE-2022-23579 and has a CVSSv3 severity score of 6.5 (Medium).
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 available for this vulnerability at the moment.
Conclusion
In conclusion, TensorFlow versions 2.5.2 to 2.6.2 and 2.7.0 are vulnerable to a denial of service issue in the Grappler optimizer. It is crucial to update to the latest patched version or upgrade to TensorFlow 2.8.0 when it becomes available. For further assistance and support in 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 a comprehensive ecosystem of tools, libraries, and resources for building and deploying machine learning models.
This vulnerability can lead to a denial of service condition in TensorFlow applications, causing them to become unresponsive or crash.
Versions 2.5.2 to 2.6.2 and 2.7.0 of TensorFlow are affected by this vulnerability.
To fix this vulnerability, it is recommended to update TensorFlow to version 2.8.0 when it becomes available. Alternatively, you can upgrade to the latest patched version within your supported range.
There is currently no known workaround for this vulnerability.
References
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