First published: Fri May 20 2022(Updated: )
### Impact The `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). ### Patches We have patched the issue in GitHub commit [0a8a781e597b18ead006d19b7d23d0a369e9ad73](https://github.com/tensorflow/tensorflow/commit/0a8a781e597b18ead006d19b7d23d0a369e9ad73) (merging GitHub PR [#55274](https://github.com/tensorflow/tensorflow/pull/55274)). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55263).
Credit: security-advisories@github.com security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
pip/tensorflow-gpu | >=2.8.0<2.8.1 | 2.8.1 |
pip/tensorflow-gpu | >=2.7.0<2.7.2 | 2.7.2 |
pip/tensorflow-gpu | <2.6.4 | 2.6.4 |
pip/tensorflow-cpu | >=2.8.0<2.8.1 | 2.8.1 |
pip/tensorflow-cpu | >=2.7.0<2.7.2 | 2.7.2 |
pip/tensorflow-cpu | <2.6.4 | 2.6.4 |
pip/tensorflow | >=2.8.0<2.8.1 | 2.8.1 |
pip/tensorflow | >=2.7.0<2.7.2 | 2.7.2 |
pip/tensorflow | <2.6.4 | 2.6.4 |
Google TensorFlow | <2.6.4 | |
Google TensorFlow | >=2.7.0<2.7.2 | |
Google TensorFlow | =2.7.0-rc0 | |
Google TensorFlow | =2.7.0-rc1 | |
Google TensorFlow | =2.8.0 | |
Google TensorFlow | =2.8.0-rc0 | |
Google TensorFlow | =2.8.0-rc1 | |
Google TensorFlow | =2.9.0-rc0 | |
Google TensorFlow | =2.9.0-rc1 |
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CVE-2022-29213 affects TensorFlow versions from 2.6.0 to 2.8.0.
CVE-2022-29213 can lead to crashes in applications using tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d due to lack of input validation.
To fix CVE-2022-29213, upgrade TensorFlow to version 2.8.1 or later.
CVE-2022-29213 is categorized as a vulnerability that can cause application crashes, indicating a moderate risk.
For more detailed information on CVE-2022-29213, you can refer to the advisory on GitHub.