Google TensorFlow up to 2.7.1/2.8.0/2.9.0 TensorListScatter/TensorListScatterV2 element_shape assertion

Summaryinfo

A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. It has been classified as problematic. This issue affects the function TensorListScatter/TensorListScatterV2. This manipulation of the argument element_shape causes assertion. This vulnerability is tracked as CVE-2022-35991. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as problematic was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). Affected by this vulnerability is the function TensorListScatter/TensorListScatterV2. The manipulation of the argument element_shape with an unknown input leads to a assertion vulnerability. The CWE definition for the vulnerability is CWE-617. The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary. As an impact it is known to affect availability. The summary by CVE is:

TensorFlow is an open source platform for machine learning. When `TensorListScatter` and `TensorListScatterV2` receive an `element_shape` of a rank greater than one, they give a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit bb03fdf4aae944ab2e4b35c7daa051068a8b7f61. 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.

The weakness was disclosed 09/17/2022 as GHSA-vm7x-4qhj-rrcq. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2022-35991 since 07/15/2022. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch bb03fdf4aae944ab2e4b35c7daa051068a8b7f61 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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Productinfo

Type

• Artificial Intelligence Software

Vendor

• Google

Name

• TensorFlow

Version

• 2.0
• 2.1
• 2.2
• 2.3
• 2.4
• 2.5
• 2.6
• 2.7
• 2.7.0
• 2.7.1
• 2.8
• 2.8.0
• 2.9.0

License

• free

Website

• Vendor: https://www.google.com/

CPE 2.3info

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CPE 2.2info

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