CVE-2022-29213 : Security Advisory and Response

TensorFlow, an open-source platform for machine learning, was found to have incomplete validation in signal operations, leading to potential crashes in earlier versions.

Understanding CVE-2022-29213

This CVE relates to a vulnerability in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 that could result in crashes due to lacking input validation in certain signal operations.

What is CVE-2022-29213?

The vulnerability in TensorFlow's

tf.compat.v1.signal.rfft2d

and

tf.compat.v1.signal.rfft3d

operations could lead to crashes in specific conditions.

The Impact of CVE-2022-29213

With a CVSS v3.1 base score of 5.5 (Medium Severity), the vulnerability has a low attack complexity but high impact on availability, requiring low privileges and no user interaction. It does not impact confidentiality or integrity.

Technical Details of CVE-2022-20657

The following technical details outline the vulnerability:

Vulnerability Description

The issue stems from lacking input validation in TensorFlow's signal operations, potentially leading to crashes.

Affected Systems and Versions

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

Exploitation Mechanism

Under specific conditions, exploitation of the incomplete validation in signal operations could occur, resulting in system crashes.

Mitigation and Prevention

To address CVE-2022-29213, consider the following mitigation steps:

Immediate Steps to Take

Upgrade TensorFlow to versions 2.9.0, 2.8.1, 2.7.2, or 2.6.4 that contain patches for this issue.
Monitor TensorFlow security advisories for updates.

Long-Term Security Practices

Regularly update TensorFlow to the latest version to ensure protection against known vulnerabilities.

Patching and Updates

Apply patches released by TensorFlow promptly to address security vulnerabilities and improve system stability.