Integer overflow in Tensorflow
### Impact
The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations.
### Patches
We have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732
https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732 (merging #51733
https://github.com/tensorflow/tensorflow/pull/51733)
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
### For more information
Please consult our security guide
https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported externally via a GitHub issue
https://github.com/tensorflow/tensorflow/issues/52676.