CVE-2022-41885 : What You Need to Know

This article provides detailed information about CVE-2022-41885, which is related to an overflow vulnerability in

FusedResizeAndPadConv2D

in TensorFlow.

Understanding CVE-2022-41885

This section delves into the specifics of the vulnerability and its impact.

What is CVE-2022-41885?

The vulnerability in

FusedResizeAndPadConv2D

in TensorFlow occurs when a large tensor shape is provided, causing an overflow. The issue has been addressed in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix is slated to be part of TensorFlow 2.11 with plans to include it in versions 2.10.1, 2.9.3, and 2.8.4 as they are also impacted and within the supported range.

The Impact of CVE-2022-41885

The impact of this vulnerability lies in the potential for an attacker to exploit the overflow in

FusedResizeAndPadConv2D

to disrupt the availability of the TensorFlow platform.

Technical Details of CVE-2022-41885

This section provides technical insights into the vulnerability.

Vulnerability Description

The overflow vulnerability in

FusedResizeAndPadConv2D

can be triggered by providing a large tensor shape, leading to an unintended overflow condition.

Affected Systems and Versions

The vulnerability affects TensorFlow versions >= 2.9.0 and < 2.9.1, >= 2.8.0 and < 2.8.1, and versions < 2.7.4.

Exploitation Mechanism

Attackers can potentially exploit this vulnerability by manipulating tensor shapes to trigger an overflow and disrupt the TensorFlow platform.

Mitigation and Prevention

This section covers mitigation strategies and preventative measures for CVE-2022-41885.

Immediate Steps to Take

Users are advised to apply the provided patches and updates as soon as they become available to prevent exploitation of the overflow vulnerability.

Long-Term Security Practices

Implementing secure coding practices, regular security audits, and staying informed about security advisories can help maintain the integrity of the TensorFlow platform.

Patching and Updates

Regularly updating TensorFlow to versions where the fix for CVE-2022-41885 has been implemented is crucial to ensuring the security of the platform.