CVE-2022-29201 Explained : Impact and Mitigation

A detailed overview of the CVE-2022-29201 vulnerability in TensorFlow affecting versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

Understanding CVE-2022-29201

This section delves into the impact, technical details, and mitigation strategies for the vulnerability.

What is CVE-2022-29201?

TensorFlow versions before 2.9.0, 2.8.1, 2.7.2, and 2.6.4 do not fully validate input arguments in

tf.raw_ops.QuantizedConv2D

, leading to issues when the references are bound to

nullptr

for empty arguments.

The Impact of CVE-2022-29201

With a CVSS base score of 5.5 (Medium), the vulnerability can result in high availability impact due to missing validation, potentially exposing systems to security risks.

Technical Details of CVE-2022-29201

This section explores the vulnerability description, affected systems, and exploitation mechanisms.

Vulnerability Description

The

QuantizedConv2D

implementation lacks proper input validation in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

Affected Systems and Versions

The vulnerability affects TensorFlow versions: < 2.6.4, >= 2.7.0rc0, < 2.7.2, >= 2.8.0rc0, < 2.8.1, >= 2.9.0rc0, < 2.9.0.

Exploitation Mechanism

Attackers can exploit this issue through local attack vectors with low privileges required, impacting system availability.

Mitigation and Prevention

Discover immediate steps to take and long-term security practices to safeguard systems.

Immediate Steps to Take

Update TensorFlow to versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 to apply patches and mitigate the vulnerability.

Long-Term Security Practices

Incorporate robust input validation mechanisms and regularly update TensorFlow to secure against potential exploits.

Patching and Updates

Refer to the official TensorFlow releases and security advisories for detailed patching instructions and essential updates.