CVE-2022-36001: TensorFlow - Denial of Service Vulnerability
Summary
CVE-2022-36001: CHECK fail in DrawBoundingBoxes in TensorFlow. Affects tensorflow across 3 version ranges.
< 2.7.2
>= 2.8.0, < 2.8.1
>= 2.9.0, < 2.9.1
Fixed in 2.7.2, 2.8.1 or 2.9.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · PyPI
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
- tensorflow · PyPI
The same CVE-2022-36001 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 platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow is widely used in various industries and research domains for tasks such as image recognition, natural language processing, and recommendation systems. However, a vulnerability has been discovered in TensorFlow that can lead to a denial of service attack.
Vulnerability Detail
The vulnerability, identified as CVE-2022-36001, occurs when the DrawBoundingBoxes function in TensorFlow receives an input boxes that is not of dtype float. This triggers a CHECK fail, resulting in a denial of service attack. An attacker can exploit this vulnerability by providing malicious input to the affected function, causing the TensorFlow application to crash or become unresponsive. The impact of this vulnerability can range from disruption of service to potential data loss or corruption.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.7.22.7.2 -
>= 2.8.0, < 2.8.12.8.1 -
>= 2.9.0, < 2.9.12.9.1
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Workaround
There are no known workarounds for this vulnerability. It is recommended to apply the provided fix or update to the patched versions of TensorFlow.
Conclusion
In conclusion, the identified vulnerability in TensorFlow can lead to a denial of service attack. Users are advised to update their TensorFlow installations to the patched versions or apply the provided fix to mitigate the risk. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning that provides tools and resources for developing and deploying machine learning models.
The vulnerability can lead to a denial of service attack, potentially disrupting the affected TensorFlow application and causing data loss or corruption.
To fix this vulnerability, update your TensorFlow installation to the patched versions or apply the provided fix from the GitHub commit.
No, there are no known workarounds for this vulnerability. Updating to the patched versions is recommended.
The vulnerability affects TensorFlow versions 2.7.2, 2.8.1, 2.9.1, 2.10-rc0.0, 2.10-rc1.0, 2.10-rc2.0, and 2.10-rc3.0.
References
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