CVE-2022-35971 Explained : Impact and Mitigation

A detailed overview of the

CHECK

fail vulnerability in

FakeQuantWithMinMaxVars

in TensorFlow affecting certain versions.

Understanding CVE-2022-35971

This CVE highlights a vulnerability in TensorFlow that can be exploited to trigger a denial of service attack.

What is CVE-2022-35971?

TensorFlow, an open source platform for machine learning, is impacted by a flaw in

FakeQuantWithMinMaxVars

, leading to a

CHECK

fail.

The Impact of CVE-2022-35971

The vulnerability poses a medium severity risk with a CVSS base score of 5.9, affecting availability due to a denial of service possibility.

Technical Details of CVE-2022-35971

Exploring the specifics of the vulnerability in TensorFlow.

Vulnerability Description

The issue arises when

FakeQuantWithMinMaxVars

is provided

min

or

max

tensors of a nonzero rank, resulting in a

CHECK

fail.

Affected Systems and Versions

Versions of TensorFlow prior to 2.7.2 and between 2.8.0 to 2.8.1 and 2.9.0 to 2.9.1 are impacted by this vulnerability.

Exploitation Mechanism

The vulnerability, when exploited, can be used to trigger a denial of service attack, affecting the availability of the platform.

Mitigation and Prevention

Measures to mitigate and prevent the exploitation of CVE-2022-35971.

Immediate Steps to Take

Users are advised to apply the patches released by TensorFlow to address the vulnerability.

Long-Term Security Practices

Regularly updating TensorFlow to the latest version can help in staying protected from known vulnerabilities.

Patching and Updates

The issue has been patched in TensorFlow 2.10.0, with backports available for TensorFlow 2.9.1, 2.8.1, and 2.7.2 to address the vulnerability.