CVE-2022-21739 : Exploit Details and Defense Strategies

Tensorflow is an Open Source Machine Learning Framework. The vulnerability in

QuantizedMaxPool

allows user controlled inputs to trigger a reference binding to a null pointer, resulting in a null pointer dereference issue. This vulnerability has a medium severity with a CVSS base score of 6.5.

Understanding CVE-2022-21739

This CVE refers to a null pointer dereference vulnerability in TensorFlow due to the implementation of

QuantizedMaxPool

.

What is CVE-2022-21739?

CVE-2022-21739 is a medium-severity vulnerability in TensorFlow that allows user controlled inputs to trigger a reference binding to a null pointer.

The Impact of CVE-2022-21739

The impact of this vulnerability is that it can lead to a null pointer dereference issue, potentially causing the application to crash or leading to unexpected behavior.

Technical Details of CVE-2022-21739

The vulnerability arises from the implementation of

QuantizedMaxPool

in TensorFlow, enabling users to trigger a reference binding to a null pointer.

Vulnerability Description

The

QuantizedMaxPool

implementation in TensorFlow allows user inputs to trigger a null pointer dereference, leading to unexpected application behavior.

Affected Systems and Versions

The vulnerability affects TensorFlow versions up to 2.8.0, with fixes planned for versions 2.8.0, 2.7.1, 2.6.3, and 2.5.3.

Exploitation Mechanism

Attackers can exploit this vulnerability by providing specially crafted user inputs to trigger the null pointer dereference in TensorFlow.

Mitigation and Prevention

To mitigate the risk associated with CVE-2022-21739, it is crucial to apply the necessary security measures and patches.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.8.0 or apply the provided patches for versions 2.7.1, 2.6.3, and 2.5.3 to prevent exploitation of this vulnerability.

Long-Term Security Practices

Implement secure coding practices and perform regular security audits to identify and mitigate similar vulnerabilities in the future.

Patching and Updates

Ensure timely installation of patches and updates released by TensorFlow to address the null pointer dereference vulnerability.