CVE-2021-29563 : Security Advisory and Response

This article discusses CVE-2021-29563, a vulnerability in TensorFlow that could lead to a denial of service. Find out the impact, affected systems, and mitigation steps below.

Understanding CVE-2021-29563

This section delves into the details of the vulnerability and its potential impact.

What is CVE-2021-29563?

CVE-2021-29563 is a vulnerability in TensorFlow that allows an attacker to trigger a denial of service by exploiting a

CHECK

-failure in the

tf.raw_ops.RFFT

implementation.

The Impact of CVE-2021-29563

The vulnerability could lead to a program termination due to an assertion triggered by Eigen code on an empty matrix, potentially causing a denial of service.

Technical Details of CVE-2021-29563

Explore the technical aspects of the vulnerability to better understand its implications.

Vulnerability Description

The vulnerability arises from a

CHECK

-failure in the

tf.raw_ops.RFFT

implementation, leading to program termination.

Affected Systems and Versions

TensorFlow versions < 2.1.4, >= 2.2.0 and < 2.2.3, >= 2.3.0 and < 2.3.3, >= 2.4.0 and < 2.4.2 are affected by this vulnerability.

Exploitation Mechanism

An attacker can exploit this vulnerability by operating on an empty matrix, triggering an assertion that leads to program termination.

Mitigation and Prevention

Learn about the steps you can take to mitigate the risks associated with CVE-2021-29563.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.5.0 or apply the fix cherrypicked to versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4.

Long-Term Security Practices

Implement robust security measures and keep TensorFlow up to date to prevent similar vulnerabilities.

Patching and Updates

Regularly check for security updates and patches released by TensorFlow to stay protected from potential threats.