TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
Moderate severity
GitHub Reviewed
Published
Sep 15, 2022
in
tensorflow/tensorflow
•
Updated Jan 28, 2023
Description
Published by the National Vulnerability Database
Sep 16, 2022
Published to the GitHub Advisory Database
Sep 16, 2022
Reviewed
Sep 16, 2022
Last updated
Jan 28, 2023
Impact
The
RaggedRangOpfunction takes an argumentlimitsthat is eventually used to construct aTensorShapeas anint64. Iflimitsis a very large float, it can overflow when converted to anint64. This triggers anInvalidArgumentbut also throws an abort signal that crashes the program.Patches
We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192.
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Jingyi Shi.
References