CVE-2021-37653 : Security Advisory and Response

TensorFlow, an open-source platform for machine learning, is impacted by a vulnerability allowing an attacker to trigger a crash via a floating point exception in a specific function. The issue arises from dividing by a value without verifying it is not 0. Immediate patching is advised to prevent exploitation.

Understanding CVE-2021-37653

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

What is CVE-2021-37653?

The CVE-2021-37653 vulnerability affects TensorFlow versions, enabling attackers to induce a crash by exploiting a divide-by-zero scenario.

The Impact of CVE-2021-37653

The vulnerability poses a medium severity risk with a CVSS base score of 5.5, with high availability impact but no confidentiality or integrity impact. Attack complexity is low, requiring local access with low privileges.

Technical Details of CVE-2021-37653

Explore the specifics of the vulnerability in this section.

Vulnerability Description

The issue stems from a lack of validation in a certain TensorFlow function that divides a value without ensuring it is not zero.

Affected Systems and Versions

Vulnerable versions include TensorFlow >= 2.5.0 and < 2.5.1, >= 2.4.0 and < 2.4.3, and < 2.3.4.

Exploitation Mechanism

Attackers can exploit the vulnerability by leveraging the divide-by-zero condition in the specified function.

Mitigation and Prevention

Learn how to address and secure your systems against CVE-2021-37653.

Immediate Steps to Take

To mitigate the risk, users are urged to apply the patches provided by TensorFlow promptly.

Long-Term Security Practices

Implement robust security measures and best practices to enhance overall system security.

Patching and Updates

Stay informed about security updates from TensorFlow and ensure timely patching to safeguard against known vulnerabilities.