CVE-2022-35989: TensorFlow Denial of Service Vulnerability
Summary
CVE-2022-35989: CHECK fail in MaxPool 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-2022-35989 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 building and deploying machine learning models. TensorFlow is widely used in various industries and research fields 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 in TensorFlow occurs when the MaxPool function is provided with a window size input array (ksize) that has dimensions greater than the input tensor (input). This triggers a CHECK fail in the GPU kernel, which can be exploited to launch a denial of service attack. The issue has been patched in the GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18 and will be included in TensorFlow 2.10.0. The fix will also be backported to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these versions are still within the supported range. There are currently no known workarounds for this vulnerability.
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
Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →
Conclusion
The vulnerability in TensorFlow can lead to a denial of service attack. It is crucial to update TensorFlow to the patched versions or apply the respective patches to ensure the security and stability of machine learning applications. For further support on 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 building and deploying machine learning models.
The vulnerability can be exploited to launch a denial of service attack, potentially disrupting the availability of TensorFlow-based applications.
Currently, there are no known workarounds for this vulnerability. It is recommended to update TensorFlow to the patched versions.
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.
More information about the vulnerability can be found in the GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18 and the associated GitHub issue.
References
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