Google TensorFlow up to 2.7.1/2.8.0/2.9.0 DenseBincount weights assertion

Summaryinfo

A vulnerability has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 and classified as problematic. This affects the function DenseBincount. The manipulation of the argument weights leads to assertion. This vulnerability is referenced as CVE-2022-35987. Remote exploitation of the attack is possible. No exploit is available. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). It has been rated as problematic. This issue affects the function DenseBincount. The manipulation of the argument weights with an unknown input leads to a assertion vulnerability. Using CWE to declare the problem leads to 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. Impacted is availability. The summary by CVE is:

TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. 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 published 09/17/2022 as GHSA-w62h-8xjm-fv49. The advisory is shared at github.com. The identification of this vulnerability is CVE-2022-35987 since 07/15/2022. Technical details are known, but no exploit is available.

Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch bf4c14353c2328636a18bfad1e151052c81d5f43 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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