Google TensorFlow up to 2.8.3/2.9.2/2.10.0 tf.raw_ops.SparseMatrixNNZ sparse_matrix denial of service

Summaryinfo

A vulnerability was found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0. It has been classified as problematic. Affected by this vulnerability is the function tf.raw_ops.SparseMatrixNNZ. Performing a manipulation of the argument sparse_matrix results in denial of service. This vulnerability is cataloged as CVE-2022-41901. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as problematic has been found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0 (Artificial Intelligence Software). This affects the function tf.raw_ops.SparseMatrixNNZ. The manipulation of the argument sparse_matrix with an unknown input leads to a denial of service vulnerability. CWE is classifying the issue as CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. This is going to have an impact on availability. The summary by CVE is:

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. 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 shared 11/19/2022 as GHSA-g9fm-r5mm-rf9f. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-41901 since 09/30/2022. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

Upgrading to version 2.8.4, 2.9.3, 2.10.1 or 2.11 eliminates this vulnerability. Applying the patch f856d02e5322821aad155dad9b3acab1e9f5d693 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/

CPE 2.3info

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CPE 2.2info

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