CVE-2022-41884 : Exploit Details and Defense Strategies

This article provides detailed information about CVE-2022-41884, a vulnerability in TensorFlow due to zero and large inputs causing a seg fault in

ndarray_tensor_bridge

.

Understanding CVE-2022-41884

This section covers what CVE-2022-41884 is and its impact on affected systems.

What is CVE-2022-41884?

CVE-2022-41884 involves a segmentation fault in

ndarray_tensor_bridge

in TensorFlow due to specific input conditions, leading to potential errors.

The Impact of CVE-2022-41884

The vulnerability in TensorFlow can result in denial of service due to errors generated by certain numpy array shapes.

Technical Details of CVE-2022-41884

Here, you will find technical insights into the vulnerability, its affected systems, and how it can be exploited.

Vulnerability Description

The issue arises when a numpy array is constructed with a shape where one element is zero, and the sum of the other elements is large, triggering an error.

Affected Systems and Versions

TensorFlow versions 2.10.0 to < 2.10.1, 2.9.0 to < 2.9.3, and < 2.8.4 are impacted by this vulnerability.

Exploitation Mechanism

By creating numpy arrays with specific shapes as described, attackers can exploit this vulnerability to cause a seg fault in TensorFlow.

Mitigation and Prevention

Learn how to protect your systems from CVE-2022-41884 and prevent potential exploitation.

Immediate Steps to Take

Users are advised to update to TensorFlow 2.11, which includes a patch for this vulnerability. Additionally, patches are available for TensorFlow 2.10.1, 2.9.3, and 2.8.4.

Long-Term Security Practices

Implement secure coding practices to avoid incorrect control flow implementations like the one observed in this vulnerability.

Patching and Updates

Stay updated with the latest security patches and updates released by TensorFlow to address known vulnerabilities.