Overflow/crash in `tf.image.resize` when size is large
Moderate severity
GitHub Reviewed
Published
Nov 4, 2021
in
tensorflow/tensorflow
•
Updated Nov 7, 2024
Description
Published by the National Vulnerability Database
Nov 5, 2021
Reviewed
Nov 8, 2021
Published to the GitHub Advisory Database
Nov 10, 2021
Last updated
Nov 7, 2024
Impact
If
tf.image.resize
is called with a large input argument then the TensorFlow process will crash due to aCHECK
-failure caused by an overflow.The number of elements in the output tensor is too much for the
int64_t
type and the overflow is detected via aCHECK
statement. This aborts the process.Patches
We have patched the issue in GitHub commit e5272d4204ff5b46136a1ef1204fc00597e21837 (merging #51497).
The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 externally via a GitHub issue.
References