CVE-2022-29194 : Exploit Details and Defense Strategies

A vulnerability in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 could allow an attacker to trigger a denial of service attack. Here's what you should know about CVE-2022-29194.

Understanding CVE-2022-29194

This section provides insights into the nature of the vulnerability and its potential impact.

What is CVE-2022-29194?

TensorFlow, an open-source platform for machine learning, contains a flaw where the validation of input arguments within

tf.raw_ops.DeleteSessionTensor

is incomplete. This oversight can lead to a

CHECK

-failure, exploitable for a denial of service attack.

The Impact of CVE-2022-29194

The vulnerability poses a medium-severity risk with a CVSS base score of 5.5. An attacker with low privileges could exploit this issue locally to cause a denial of service, affecting the availability of the system.

Technical Details of CVE-2022-29194

Explore the technical specifics of the vulnerability in this section.

Vulnerability Description

The vulnerability arises from incomplete validation of input arguments in the function

tf.raw_ops.DeleteSessionTensor

.

Affected Systems and Versions

Versions prior to 2.6.4, 2.7.2, 2.8.1, and 2.9.0rc0 are impacted by this vulnerability.

Exploitation Mechanism

An attacker with low privileges can exploit this vulnerability locally to trigger a denial of service attack.

Mitigation and Prevention

Learn how to mitigate the risks associated with CVE-2022-29194 in this section.

Immediate Steps to Take

Update TensorFlow to version 2.9.0, 2.8.1, 2.7.2, or 2.6.4 to apply the patch addressing this vulnerability.

Long-Term Security Practices

Regularly update software and follow secure coding practices to prevent and mitigate potential vulnerabilities.

Patching and Updates

Stay informed about security advisories from TensorFlow and promptly apply patches to secure your systems.