CVE-2022-29193: Missing validation causes `TensorSummaryV2` in TensorFlow to crash

Published May 20, 2022
·
Updated

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.rawops.TensorSummaryV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Affected Software

9 affected components
Google TensorFlow<2.6.4
Google TensorFlow>=2.7.0<2.7.2
Google TensorFlow=2.7.0-rc0
Google TensorFlow=2.7.0-rc1
Google TensorFlow=2.8.0
Google TensorFlow=2.8.0-rc0
Google TensorFlow=2.8.0-rc1
Google TensorFlow=2.9.0-rc0
Google TensorFlow=2.9.0-rc1

Event History

May 20, 2022
CVE Published
via MITRE·09:20 PM
Data Sourced
via MITRE·09:20 PM
DescriptionSeverityWeakness

Frequently Asked Questions

1

What is the severity of CVE-2022-29193?

CVE-2022-29193 has a severity rating that could allow for denial of service through a CHECK failure.

2

How do I fix CVE-2022-29193?

To fix CVE-2022-29193, update TensorFlow to versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 and ensure proper input argument validation.

3

What software is affected by CVE-2022-29193?

CVE-2022-29193 affects TensorFlow versions prior to 2.9.0 including 2.8.1, 2.7.2, and 2.6.4.

4

What is the impact of exploiting CVE-2022-29193?

Exploiting CVE-2022-29193 can lead to a denial of service due to a CHECK failure from unvalidated input arguments.

5

Where can I find more information about CVE-2022-29193?

For more information on CVE-2022-29193, check the official TensorFlow repository and release notes.

Contact

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