CVE-2022-35940 Information

Description

TensorFlow is an open source platform for machine learning. The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. 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. There are no known workarounds for this issue.

Reference

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x989-q2pq-4q5x https://github.com/tensorflow/tensorflow/commit/37cefa91bee4eace55715eeef43720b958a01192 https://github.com/tensorflow/tensorflow/blob/0b6b491d21d6a4eb5fbab1cca565bc1e94ca9543/tensorflow/core/kernels/ragged_range_op.cc#L74-L88