CVE-2021-29589 : Exploit Details and Defense Strategies

TensorFlow is an end-to-end open source platform for machine learning. The vulnerability in the

GatherNd

TFLite operator allows an attacker to trigger a division by zero error. This issue affects TensorFlow versions prior to 2.1.4, between 2.2.0 and 2.2.3, 2.3.0 and 2.3.3, as well as 2.4.0 and 2.4.2. The impact of this vulnerability is rated as low with a CVSS base score of 2.5.

Understanding CVE-2021-29589

This section will cover what CVE-2021-29589 entails, its impact, technical details, and how to mitigate the risk.

What is CVE-2021-29589?

CVE-2021-29589 highlights a vulnerability in TensorFlow's TFLite

GatherNd

operator that enables potential attackers to cause a division by zero error, impacting the overall security of TensorFlow versions.

The Impact of CVE-2021-29589

The impact of this vulnerability is considered low, with an overall CVSS base score of 2.5. However, it poses a risk to affected TensorFlow versions, potentially enabling attackers to exploit the issue.

Technical Details of CVE-2021-29589

This section outlines the specifics of the vulnerability, including its description, affected systems and versions, and the exploitation mechanism.

Vulnerability Description

The vulnerability arises from the

GatherNd

TFLite operator, allowing attackers to trigger a division by zero error.

Affected Systems and Versions

TensorFlow versions below 2.1.4, between 2.2.0 and 2.2.3, 2.3.0 and 2.3.3, as well as 2.4.0 and 2.4.2 are affected by this vulnerability.

Exploitation Mechanism

Attackers can exploit this vulnerability by crafting a model that results in an empty tensor as an input to the

params

parameter, leading to a division by zero error.

Mitigation and Prevention

This section provides guidance on how to address and prevent the risks associated with CVE-2021-29589.

Immediate Steps to Take

As an immediate measure, users are advised to update their TensorFlow installations to version 2.5.0 or apply the appropriate patches for TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4.

Long-Term Security Practices

In the long term, it is crucial to regularly update TensorFlow to the latest secure versions and stay informed about security advisories and patches.

Patching and Updates

Ensure that your TensorFlow environment is kept up to date with the latest security patches and updates to mitigate the risks associated with CVE-2021-29589.