CVE-2022-35959: `CHECK` failures in `AvgPool3DGrad` in TensorFlow
First published: Fri Sep 16 2022(Updated: )
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Credit: security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| TensorFlow Keras | >=2.7.0<2.7.2 | |
| TensorFlow Keras | =2.8.0 | |
| TensorFlow Keras | =2.9.0 | |
| TensorFlow Keras | =2.10-rc0 | |
| TensorFlow Keras | =2.10-rc1 | |
| TensorFlow Keras | =2.10-rc2 | |
| TensorFlow Keras | =2.10-rc3 |
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Reference Links
Frequently Asked Questions
What is the severity of CVE-2022-35959?
CVE-2022-35959 is classified as a denial of service vulnerability due to an overflow resulting in a CHECK failure.
How does CVE-2022-35959 affect TensorFlow?
CVE-2022-35959 affects TensorFlow by causing a denial of service when the `AvgPool3DGradOp` does not validate the input `orig_input_shape`.
Which versions of TensorFlow are affected by CVE-2022-35959?
CVE-2022-35959 affects TensorFlow versions between 2.7.0 and 2.7.2, as well as versions 2.8.0, 2.9.0, and various release candidates of 2.10.
How can I mitigate CVE-2022-35959 in my TensorFlow installation?
To mitigate CVE-2022-35959, update TensorFlow to a version that is not affected by this vulnerability.
Has CVE-2022-35959 been addressed in TensorFlow updates?
Yes, CVE-2022-35959 has been addressed in TensorFlow updates beyond the affected versions.
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