CVE-2022-29204 MEDIUM

CVE-2022-29204: Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

Vendor Tensorflow
Product tensorflow
Weakness CWE-191
Published May 20, 2022
Last update April 22, 2025

CVSS base score

5.5/10
Attack vector Local
Attack complexity Low
Privileges required Low
User interaction None
Confidentiality None
Integrity None

CVSS vector

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

What the vulnerability does

01Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Key dates

02Disclosure timeline

May 20, 2022 CVE published
April 22, 2025 Record updated