CVE-2022-36011: Null dereference on MLIR on empty function attributes in TensorFlow
First published: Fri Sep 16 2022(Updated: )
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b. 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 |
|---|---|---|
| Google TensorFlow | <2.7.2 | |
| Google TensorFlow | >=2.8.0<2.8.1 | |
| Google TensorFlow | >=2.9.0<2.9.1 | |
| Google TensorFlow | =2.10-rc0 | |
| Google TensorFlow | =2.10-rc1 | |
| Google TensorFlow | =2.10-rc2 | |
| Google TensorFlow | =2.10-rc3 |
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Reference Links
Frequently Asked Questions
What is CVE-2022-36011?
CVE-2022-36011 is a vulnerability in TensorFlow where an empty function attributes can lead to a null dereference.
What is the severity of CVE-2022-36011?
The severity of CVE-2022-36011 is high, with a CVSS score of 7.5.
Which versions of TensorFlow are affected by CVE-2022-36011?
TensorFlow versions up to and excluding 2.7.2, 2.8.0 - 2.8.1, 2.9.0 - 2.9.1, 2.10-rc0, 2.10-rc1, 2.10-rc2, and 2.10-rc3 are affected by CVE-2022-36011.
How do I fix CVE-2022-36011?
To fix CVE-2022-36011, update TensorFlow to the patched version mentioned in the GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b.
Where can I find more information about CVE-2022-36011?
You can find more information about CVE-2022-36011 in the following references: [GitHub commit](https://github.com/tensorflow/tensorflow/commit/1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b), [GitHub Security Advisory](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fv43-93gv-vm8f).
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