CVE-2021-37680 : What You Need to Know

TensorFlow, an end-to-end open source platform for machine learning, has a vulnerability in its TFLite implementation, leading to a division by zero error. This article provides details on the impact, technical aspects, and mitigation strategies related to CVE-2021-37680.

Understanding CVE-2021-37680

This section delves into the specifics of the vulnerability affecting TensorFlow.

What is CVE-2021-37680?

In affected versions of TensorFlow, the implementation of fully connected layers in TFLite is vulnerable to a division by zero error.

The Impact of CVE-2021-37680

The vulnerability can have a medium impact, with a CVSS base score of 5.5. It has a high availability impact but does not affect confidentiality or integrity.

Technical Details of CVE-2021-37680

Explore the technical details of the vulnerability to gain a deeper understanding.

Vulnerability Description

The issue arises from a division by zero error in the fully connected layers of TensorFlow Lite.

Affected Systems and Versions

TensorFlow versions >= 2.3.4 and < 2.5.1, 2.4.3, and 2.5.0 are impacted by this vulnerability.

Exploitation Mechanism

The vulnerability can be exploited locally with low privileges required and no user interaction, making it a concerning issue.

Mitigation and Prevention

Discover the necessary steps to mitigate and prevent the exploitation of CVE-2021-37680.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.6.0 or apply the patches in TensorFlow 2.5.1, 2.4.3, and 2.3.4.

Long-Term Security Practices

Incorporate regular security updates, code reviews, and vulnerability assessments to enhance overall system security.

Patching and Updates

Stay informed about security advisories, apply patches promptly, and keep software up to date to prevent potential security breaches.