Google TensorFlow up to 2.8.3/2.9.2/2.10.0 FractionMaxPoolGrad row_pooling_sequence/col_pooling_sequence out-of-bounds

Summaryinfo

A vulnerability labeled as problematic has been found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0. This affects the function FractionMaxPoolGrad. Executing a manipulation of the argument row_pooling_sequence/col_pooling_sequence can lead to out-of-bounds. This vulnerability appears as CVE-2022-41897. The attack may be performed from remote. There is no available exploit. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as problematic was found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0 (Artificial Intelligence Software). This vulnerability affects the function FractionMaxPoolGrad. The manipulation of the argument row_pooling_sequence/col_pooling_sequence with an unknown input leads to a out-of-bounds vulnerability. The CWE definition for the vulnerability is CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect availability. CVE summarizes:

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

The weakness was presented 11/19/2022 as GHSA-f2w8-jw48-fr7j. The advisory is available at github.com. This vulnerability was named CVE-2022-41897 since 09/30/2022. The exploitation appears to be difficult. No form of authentication is required for a successful exploitation. Successful exploitation requires user interaction by the victim. Technical details are known, but there is no available exploit.

Upgrading to version 2.8.4, 2.9.3, 2.10.1 or 2.11 eliminates this vulnerability. Applying the patch d71090c3e5ca325bdf4b02eb236cfb3ee823e927 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
• 2.8
• 2.8.0
• 2.8.1
• 2.8.2
• 2.8.3
• 2.9
• 2.9.0
• 2.9.1
• 2.9.2
• 2.10.0

License

• free

Website

• Vendor: https://www.google.com/

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CPE 2.2info

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