CVE-2021-37670 : What You Need to Know

A detailed analysis of CVE-2021-37670, a vulnerability found in TensorFlow affecting versions >= 2.3.4, < 2.5.1, allowing attackers to read outside the bounds of heap allocated data.

Understanding CVE-2021-37670

This section provides insights into the nature of the vulnerability found in TensorFlow.

What is CVE-2021-37670?

TensorFlow versions >= 2.3.4, < 2.5.1 are susceptible to a vulnerability that enables attackers to read beyond the bounds of heap allocated data by exploiting

UpperBound

and

LowerBound

functions.

The Impact of CVE-2021-37670

The vulnerability poses a medium risk with a CVSS base score of 5.5. It can lead to high confidentiality impact with low privileges required for exploitation.

Technical Details of CVE-2021-37670

In this section, we delve into the technical aspects of the CVE-2021-37670 vulnerability.

Vulnerability Description

The vulnerability arises due to inadequate validation in the

tf.raw_ops.UpperBound

function, allowing malicious arguments to access unauthorized memory areas.

Affected Systems and Versions

TensorFlow versions >= 2.3.4, < 2.5.1 are known to be impacted by this vulnerability.

Exploitation Mechanism

Attackers can exploit this vulnerability by sending specially crafted illegal arguments to the

UpperBound

and

LowerBound

functions, enabling them to read beyond the allocated memory bounds.

Mitigation and Prevention

This section outlines the steps to mitigate and prevent exploitation of CVE-2021-37670.

Immediate Steps to Take

Users are advised to apply the provided patch immediately to prevent unauthorized access to sensitive data. Upgrading to TensorFlow 2.6.0 is recommended.

Long-Term Security Practices

Implement strict input validation mechanisms and follow secure coding practices to enhance the overall security posture.

Patching and Updates

Ensure that all TensorFlow installations are regularly updated with the latest security patches to address known vulnerabilities.