CVE-2022-29206 Explained : Impact and Mitigation

This article discusses CVE-2022-29206, a vulnerability in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 that can result in undefined behavior in

SparseTensorDenseAdd

. Learn about the impact, technical details, and mitigation steps.

Understanding CVE-2022-29206

In this section, we explore the details of the vulnerability in TensorFlow.

What is CVE-2022-29206?

TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a vulnerability in the implementation of

tf.raw_ops.SparseTensorDenseAdd

, leading to undefined behavior.

The Impact of CVE-2022-29206

The vulnerability can be exploited locally, resulting in a high impact on availability. The base CVSS score is 5.5 (Medium severity) with low complexity and privileges required.

Technical Details of CVE-2022-29206

In this section, we delve into the technical aspects of the CVE.

Vulnerability Description

The issue arises due to incomplete validation of input arguments in

SparseTensorDenseAdd

, causing a reference to bind to a

nullptr

during kernel execution.

Affected Systems and Versions

TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 are affected by this vulnerability.

Exploitation Mechanism

Attackers can exploit this vulnerability locally, impacting system availability significantly.

Mitigation and Prevention

Learn how to protect your systems from CVE-2022-29206 in this section.

Immediate Steps to Take

Update TensorFlow to versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 to mitigate the vulnerability. Additionally, verify and sanitize input arguments to prevent similar issues.

Long-Term Security Practices

Incorporate secure coding practices and regular vulnerability assessments to maintain a robust security posture.

Patching and Updates

Stay informed about security advisories and promptly apply patches to address known vulnerabilities.