CVE-2022-35984: `CHECK` fail in `ParameterizedTruncatedNormal` in TensorFlow

Published Sep 16, 2022
·
Updated

TensorFlow is an open source platform for machine learning. ParameterizedTruncatedNormal assumes shape is of type int32. A valid shape of type int64 results in a mismatched type CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51. 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. There are no known workarounds for this issue.

Affected Software

7 affected components
Google TensorFlow<2.7.2
Google TensorFlow>=2.8.0<2.8.1
Google TensorFlow>=2.9.0<2.9.1
Google TensorFlow=2.10-rc0
Google TensorFlow=2.10-rc1
Google TensorFlow=2.10-rc2
Google TensorFlow=2.10-rc3

Event History

Sep 16, 2022
CVE Published
via MITRE·09:40 PM
Data Sourced
via MITRE·09:40 PM
DescriptionSeverityWeakness

Frequently Asked Questions

1

What is the severity of CVE-2022-35984?

CVE-2022-35984 has been identified as a denial of service vulnerability due to a mismatched type CHECK fail.

2

How do I fix CVE-2022-35984?

To remediate CVE-2022-35984, update TensorFlow to version 2.10-rc4 or later.

3

What software is affected by CVE-2022-35984?

CVE-2022-35984 affects multiple versions of TensorFlow, specifically versions prior to 2.10-rc4.

4

How can CVE-2022-35984 be exploited?

CVE-2022-35984 can be exploited by providing a valid shape of type int64 which causes a denial of service.

5

Is there a patch for CVE-2022-35984?

Yes, a patch for CVE-2022-35984 has been provided in TensorFlow version 2.10-rc4.

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