CVE-2022-41896

Public Exploit
`tf.raw_ops.Mfcc` crashes in Tensorflow

Description

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. 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.

Categories

4.8
CVSS
Severity: Medium
CVSS 3.1 •
EPSS 0.10%
Third-Party Advisory github.com Third-Party Advisory github.com Third-Party Advisory github.com
Affected: tensorflow tensorflow
Published at:
Updated at:

References

Frequently Asked Questions

What is the severity of CVE-2022-41896?
CVE-2022-41896 has been scored as a medium severity vulnerability.
How to fix CVE-2022-41896?
To fix CVE-2022-41896, make sure you are using an up-to-date version of the affected component(s) by checking the vendor release notes. As for now, there are no other specific guidelines available.
Is CVE-2022-41896 being actively exploited in the wild?
It is possible that CVE-2022-41896 is being exploited or will be exploited in a near future based on public information. According to its EPSS score, there is a ~0% probability that this vulnerability will be exploited by malicious actors in the next 30 days.
What software or system is affected by CVE-2022-41896?
CVE-2022-41896 affects tensorflow tensorflow.
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