CVE-2022-41896 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.8.4 || >=2.9.0 <2.9.3 || >=2.10.0 <2.10.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:A/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00135 pctl0.3399

Details

`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.

Metadata

Created: 2022-11-21T21:53:52Z
Modified: 2022-11-21T21:53:52Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/11/GHSA-rmg2-f698-wq35/GHSA-rmg2-f698-wq35.json
CWE IDs: ["CWE-1284", "CWE-20"]
Alternative ID: GHSA-rmg2-f698-wq35
Finding: F184
Auto approve: 1