`tf.raw_ops.Mfcc` crashes

Overview

Impact

If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash.

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.

Affected packages

• tensorflow < 2.8.4
• tensorflow >= 2.9.0, < 2.9.3
• tensorflow >= 2.10.0, < 2.10.1
• tensorflow-cpu < 2.8.4
• tensorflow-gpu < 2.8.4
• tensorflow-cpu >= 2.9.0, < 2.9.3
• tensorflow-gpu >= 2.9.0, < 2.9.3
• tensorflow-cpu >= 2.10.0, < 2.10.1
• tensorflow-gpu >= 2.10.0, < 2.10.1

Remediation

Upgrade to a patched release:

• tensorflow 2.8.4
• tensorflow 2.9.3
• tensorflow 2.10.1
• tensorflow-cpu 2.8.4
• tensorflow-gpu 2.8.4
• tensorflow-cpu 2.9.3
• tensorflow-gpu 2.9.3
• tensorflow-cpu 2.10.1
• tensorflow-gpu 2.10.1