`tf.raw_ops.Mfcc` crashes
### Impact
If `ThreadUnsafeUnigramCandidateSampler`
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/mirror_pad_op.cc is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash.
```python
import tensorflow as tf
tf.raw_ops.Mfcc(
spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
sample_rate = 2,
upper_frequency_limit = 5.0,
lower_frequency_limit = 1.0,
filterbank_channel_count = 2**31 - 1,
dct_coefficient_count = 1
)
```
### Patches
We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860
https://github.com/tensorflow/tensorflow/commit/39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 by Vul AI.