GHSA-rmg2-f698-wq35 `tf.raw_ops.Mfcc` crashes

• PyPI tensorflow: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow: >= 2.10.0, < 2.10.1 → fixed in 2.10.1 • PyPI tensorflow-cpu: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow-gpu: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow-cpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow-gpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow-cpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1 • PyPI tensorflow-gpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1

Impact If `ThreadUnsafeUnigramCandidateSampler` 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. 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 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.