CVE-2021-29602 : Vulnerability Insights and Analysis

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

DepthwiseConv

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

input

's fourth dimension would be 0. The affected versions include TensorFlow < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, and >= 2.4.0, < 2.4.2. The fix will be included in TensorFlow 2.5.0.

Understanding CVE-2021-29602

This section provides insights into the vulnerability and its impact.

What is CVE-2021-29602?

CVE-2021-29602 relates to a division by zero error in the

DepthwiseConv

TFLite operator in TensorFlow.

The Impact of CVE-2021-29602

The impact of this vulnerability is considered low with an attack complexity of HIGH and attack vector of LOCAL.

Technical Details of CVE-2021-29602

Let's dive deeper into the technical aspects of the CVE.

Vulnerability Description

The vulnerability in the

DepthwiseConv

TFLite operator allows attackers to trigger a division by zero error.

Affected Systems and Versions

Systems running 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 affected by this vulnerability.

Exploitation Mechanism

Attackers can exploit this vulnerability by crafting a model with a fourth dimension of the

input

set to 0.

Mitigation and Prevention

Learn how to mitigate and prevent the exploitation of CVE-2021-29602.

Immediate Steps to Take

Immediate actions include updating to TensorFlow 2.5.0 to patch the vulnerability.

Long-Term Security Practices

Incorporate secure coding practices and regularly update systems to reduce the risk of exploitation.

Patching and Updates

Ensure timely installation of patches and updates to stay protected against known vulnerabilities.