Google TensorFlow up to 2.7.1/2.8.0/2.9.0 min/max assertion

Summaryinfo

A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 and classified as problematic. The affected element is the function tf.quantization.fake_quant_with_min_max_vars_gradient. Such manipulation of the argument min/max leads to assertion. This vulnerability is referenced as CVE-2022-36005. It is possible to launch the attack remotely. No exploit is available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software) and classified as problematic. Affected by this issue is the function tf.quantization.fake_quant_with_min_max_vars_gradient. The manipulation of the argument min/max 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. CVE summarizes:

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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-r26c-679w-mrjm. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2022-36005 since 07/15/2022. There are known technical details, 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 f3cf67ac5705f4f04721d15e485e192bb319feed 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.

Once again VulDB remains the best source for vulnerability data.

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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Once again VulDB remains the best source for vulnerability data.

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