CVE-2021-29582 : Vulnerability Insights and Analysis

A detailed article about the CVE-2021-29582 that discusses a vulnerability in

tf.raw_ops.Dequantize

in TensorFlow.

Understanding CVE-2021-29582

This section will provide an overview of the vulnerability and its impact.

What is CVE-2021-29582?

CVE-2021-29582 is a vulnerability in TensorFlow that allows an attacker to trigger a read from outside the bounds of heap allocated data due to a lack of validation in

tf.raw_ops.Dequantize

.

The Impact of CVE-2021-29582

The vulnerability has a CVSS base score of 2.5 (Low severity) with high attack complexity and low availability impact. Although it requires low privileges, the attacker can exploit it locally without user interaction.

Technical Details of CVE-2021-29582

In this section, we will dive into the technical aspects of the vulnerability.

Vulnerability Description

The vulnerability arises from the parallel access of

min_range

and

max_range

tensors without verifying their shape similarity.

Affected Systems and Versions

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.

Exploitation Mechanism

An attacker can exploit this vulnerability to read data outside the allocated memory heap.

Mitigation and Prevention

In this section, we will discuss mitigation strategies and steps to prevent exploitation.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.5.0 or apply patches for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4.

Long-Term Security Practices

Implement strict input validation and ensure tensor shapes are consistent to prevent similar vulnerabilities.

Patching and Updates

Regularly check for security updates and apply patches promptly to mitigate known vulnerabilities in TensorFlow.