CVE-2021-29570 : What You Need to Know

TensorFlow is an end-to-end open-source platform for machine learning. The vulnerability identified as CVE-2021-29570 involves the implementation of

tf.raw_ops.MaxPoolGradWithArgmax

, which can result in reads outside the bounds of heap allocated data when specially crafted inputs are provided by an attacker. This vulnerability affects TensorFlow versions < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2.

Understanding CVE-2021-29570

In this section, we will delve into the details of CVE-2021-29570.

What is CVE-2021-29570?

The CVE-2021-29570 vulnerability involves an out-of-bounds read due to the flawed implementation of

MaxPoolGradWithArgmax

in TensorFlow.

The Impact of CVE-2021-29570

With a CVSS base score of 2.5 (Low), the vulnerability poses a risk of reading outside the bounds of allocated data, potentially leading to information exposure.

Technical Details of CVE-2021-29570

Let's explore the technical aspects of CVE-2021-29570.

Vulnerability Description

The issue arises from using the same index value in two different arrays without ensuring identical sizes, leading to out-of-bounds reads in TensorFlow.

Affected Systems and Versions

CVE-2021-29570 affects TensorFlow versions < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2.

Exploitation Mechanism

Attackers can exploit this vulnerability by supplying specially crafted inputs to

MaxPoolGradWithArgmax

in TensorFlow.

Mitigation and Prevention

Learn how to protect your systems from the CVE-2021-29570 vulnerability.

Immediate Steps to Take

It is recommended to apply the necessary patches and updates provided by TensorFlow to mitigate the risk of this vulnerability.

Long-Term Security Practices

Implement secure coding practices and conduct regular security audits to prevent similar vulnerabilities in the future.

Patching and Updates

Ensure that you are using TensorFlow version 2.5.0 or above, as the fix for CVE-2021-29570 will be included in TensorFlow 2.5.0. Additionally, patches are available for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4.