
16/9/2022

3/8/2024
CVE-2022-35986: Segfault in `RaggedBincount` in TensorFlow
First published: Fri Sep 16 2022(Updated: )
TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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-2022-35986?
CVE-2022-35986 is classified as a denial of service vulnerability due to a segmentation fault.
How do I fix CVE-2022-35986?
To fix CVE-2022-35986, upgrade to TensorFlow version 2.7.2 or later.
Which versions of TensorFlow are affected by CVE-2022-35986?
CVE-2022-35986 affects TensorFlow versions prior to 2.7.2 and between 2.8.0 and 2.9.1.
Can CVE-2022-35986 be exploited remotely?
Yes, CVE-2022-35986 can be exploited remotely to trigger a denial of service.
What components of TensorFlow does CVE-2022-35986 impact?
CVE-2022-35986 impacts the RaggedBincount operation within TensorFlow.
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