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Incomplete validation in signal ops leads to crashes in TensorFlow

Moderate severity GitHub Reviewed Published May 17, 2022 in tensorflow/tensorflow • Updated Jul 21, 2023

Package

pip tensorflow (pip)

Affected versions

< 2.6.4
>= 2.7.0, < 2.7.2
>= 2.8.0, < 2.8.1

Patched versions

2.6.4
2.7.2
2.8.1
pip tensorflow-cpu (pip)
< 2.6.4
>= 2.7.0, < 2.7.2
>= 2.8.0, < 2.8.1
2.6.4
2.7.2
2.8.1
pip tensorflow-gpu (pip)
< 2.6.4
>= 2.7.0, < 2.7.2
>= 2.8.0, < 2.8.1
2.6.4
2.7.2
2.8.1

Description

Impact

The tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes (due to CHECK-failures).

Patches

We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 (merging GitHub PR #55274).

The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a GitHub issue.

References

@mihaimaruseac mihaimaruseac published to tensorflow/tensorflow May 17, 2022
Published by the National Vulnerability Database May 21, 2022
Published to the GitHub Advisory Database May 24, 2022
Reviewed May 24, 2022
Last updated Jul 21, 2023

Severity

Moderate
5.5
/ 10

CVSS base metrics

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

Weaknesses

CVE ID

CVE-2022-29213

GHSA ID

GHSA-5889-7v45-q28m

Source code

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