CVE-2022-41888 : Security Advisory and Response

A vulnerability has been discovered in TensorFlow that affects versions 2.8.4, 2.9.3, and 2.10.0. This flaw could allow an attacker to exploit the

tf.image.generate_bounding_box_proposals

function when running on GPU by providing unchecked input of rank 4.

Understanding CVE-2022-41888

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

What is CVE-2022-41888?

The flaw arises due to the lack of input validation in the

tf.image.generate_bounding_box_proposals

function in TensorFlow. Attackers could potentially leverage this issue to execute malicious code or disrupt system availability.

The Impact of CVE-2022-41888

The vulnerability poses a medium severity risk with a CVSS base score of 4.8. While it requires low privileges from the attacker, successful exploitation could lead to a high impact on system availability.

Technical Details of CVE-2022-41888

Explore the technical aspects of the vulnerability and its implications in this section.

Vulnerability Description

The flaw stems from the unchecked input of rank 4 in the

tf.image.generate_bounding_box_proposals

function, allowing attackers to potentially exploit the system.

Affected Systems and Versions

Versions of TensorFlow affected by this vulnerability include 2.10.0, 2.9.3, and any version lower than 2.8.4. Users operating on these versions are advised to take immediate action.

Exploitation Mechanism

Attackers can exploit this vulnerability by providing malicious input to the

tf.image.generate_bounding_box_proposals

function, circumventing the lack of input validation.

Mitigation and Prevention

Learn about the steps to mitigate the risks posed by CVE-2022-41888 and how to prevent future occurrences.

Immediate Steps to Take

Users are strongly advised to update their TensorFlow installations to version 2.11, where the issue has been patched. For those unable to upgrade immediately, patch releases for versions 2.10.1, 2.9.3, and 2.8.4 are also available.

Long-Term Security Practices

Implementing robust input validation mechanisms and regular security updates can help prevent similar vulnerabilities in the future.

Patching and Updates

Stay informed about security advisories and updates from TensorFlow to ensure a secure computing environment.