CVE-2021-29599 : Exploit Details and Defense Strategies

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the

Split

TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that

num_splits

would be 0. The fix will be included in TensorFlow 2.5.0. Multiple versions of TensorFlow are affected, including versions < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2.

Understanding CVE-2021-29599

This section provides insights into the vulnerability and its impact.

What is CVE-2021-29599?

CVE-2021-29599 is a vulnerability in TensorFlow's TFLite operator

Split

that allows an attacker to trigger a division by zero error.

The Impact of CVE-2021-29599

The vulnerability's impact is rated as low severity, with high attack complexity and low availability impact.

Technical Details of CVE-2021-29599

Learn about the specifics of the vulnerability.

Vulnerability Description

The issue occurs in the implementation of the

Split

TFLite operator, enabling attackers to cause a division by zero error.

Affected Systems and Versions

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

Exploitation Mechanism

Attackers can exploit this vulnerability by crafting a model with

num_splits

set to 0.

Mitigation and Prevention

Discover how to address and prevent the CVE-2021-29599 vulnerability.

Immediate Steps to Take

Users are advised to update to TensorFlow 2.5.0 or apply the fix available for TensorFlow 2.4.2, 2.3.3, 2.2.3, and 2.1.4.

Long-Term Security Practices

Implement secure coding practices and regularly update TensorFlow to prevent future vulnerabilities.

Patching and Updates

Stay informed about security patches and updates from TensorFlow to protect against CVE-2021-29599.