CVE-2022-29195: Missing validation causes denial of service in TensorFlow via `StagePeek`

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.StagePeek 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 index is a scalar but there is no validation for this before accessing its value. 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·10:00 PM
Data Sourced
via MITRE·10:00 PM
DescriptionSeverityWeakness

Frequently Asked Questions

1

What is the severity of CVE-2022-29195?

CVE-2022-29195 has a severity level that can lead to denial of service due to input validation issues.

2

How do I fix CVE-2022-29195?

To fix CVE-2022-29195, upgrade TensorFlow to version 2.9.0, 2.8.1, 2.7.2, or 2.6.4 or later.

3

What versions of TensorFlow are affected by CVE-2022-29195?

CVE-2022-29195 affects TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

4

What is the cause of CVE-2022-29195?

CVE-2022-29195 is caused by insufficient validation of input arguments in the tf.raw_ops.StagePeek implementation.

5

Who is the vendor for CVE-2022-29195?

The vendor for CVE-2022-29195 is Google, as it pertains to their TensorFlow software.

Contact

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