CVE-2022-36019: `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow
First published: Fri Sep 16 2022(Updated: )
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `max` tensors of a rank other than one, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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 | <2.7.2 | |
| TensorFlow Keras | >=2.8.0<2.8.1 | |
| TensorFlow Keras | >=2.9.0<2.9.1 | |
| TensorFlow Keras | =2.10-rc0 | |
| TensorFlow Keras | =2.10-rc1 | |
| TensorFlow Keras | =2.10-rc2 | |
| TensorFlow Keras | =2.10-rc3 |
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Frequently Asked Questions
What is the severity of CVE-2022-36019?
CVE-2022-36019 is classified as a denial of service vulnerability.
How do I fix CVE-2022-36019?
To fix CVE-2022-36019, update TensorFlow to a version that is not affected, specifically version 2.10 or higher.
What systems are affected by CVE-2022-36019?
CVE-2022-36019 affects TensorFlow versions up to and including 2.8.0 but excludes versions from 2.10 onwards.
Can CVE-2022-36019 lead to security breaches?
While CVE-2022-36019 primarily allows for denial of service attacks, it does not directly facilitate unauthorized access or data breaches.
What causes the vulnerability CVE-2022-36019?
CVE-2022-36019 is triggered when the `FakeQuantWithMinMaxVarsPerChannel` operation receives `min` or `max` tensors of a rank other than one.
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