![Advisory Published](https://public.secalerts.co/assets/images/icon-advisory-published.svg)
20/5/2022
![Updated](https://public.secalerts.co/assets/images/icon-updated.svg)
3/8/2024
CVE-2022-29191: Missing validation causes denial of service via `GetSessionTensor` in TensorFlow
First published: Fri May 20 2022(Updated: )
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Credit: security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|
Google TensorFlow | <2.6.4 | |
Google TensorFlow | >=2.7.0<2.7.2 | |
Google TensorFlow | >=2.8.0<2.8.1 | |
Google TensorFlow | =2.9.0-rc0 | |
Google TensorFlow | =2.9.0-rc1 | |
Google TensorFlow | =2.9.0-rc2 | |
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Frequently Asked Questions
What is the severity of CVE-2022-29191?
CVE-2022-29191 has been classified as a medium severity vulnerability due to its potential to trigger denial of service.
How do I fix CVE-2022-29191?
To fix CVE-2022-29191, upgrade TensorFlow to version 2.9.0 or later, or to approved patches like 2.8.1, 2.7.2, or 2.6.4.
What versions of TensorFlow are affected by CVE-2022-29191?
CVE-2022-29191 affects TensorFlow versions prior to 2.6.4, including 2.7.0 through 2.7.2, and 2.8.0 through 2.8.1.
What is the cause of CVE-2022-29191?
CVE-2022-29191 is caused by insufficient input argument validation in the implementation of the 'tf.raw_ops.GetSessionTensor' operation.
Is CVE-2022-29191 a remote vulnerability?
CVE-2022-29191 does not appear to be a remote vulnerability, as it requires local execution to exploit.
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