CVE-2022-35941 Explained : Impact and Mitigation

A

CHECK

failure in the

AvgPoolOp

function in TensorFlow has been identified and assigned CVE-2022-35941. This article provides an overview of the vulnerability and its impact, along with mitigation strategies.

Understanding CVE-2022-35941

This section delves into the specifics of the vulnerability found in the

AvgPoolOp

function of TensorFlow.

What is CVE-2022-35941?

TensorFlow, an open-source machine learning platform, is affected by a vulnerability in the

AvgPoolOp

function. The issue arises from the lack of validation on the

ksize

argument, allowing for negative values that can trigger a

CHECK

failure.

The Impact of CVE-2022-35941

The vulnerability poses a medium severity risk with a CVSS base score of 5.9. Attackers can exploit this issue to cause a program crash, leading to a denial of service. It affects TensorFlow versions prior to 2.7.2, between 2.8.0 and 2.8.1, and between 2.9.0 and 2.9.1.

Technical Details of CVE-2022-35941

Explore the technical aspects related to CVE-2022-35941 in this section.

Vulnerability Description

The vulnerability in the

AvgPoolOp

function allows for unchecked negative

ksize

values, leading to a

CHECK

failure and potential program crashes.

Affected Systems and Versions

TensorFlow versions prior to 2.7.2, 2.8.0 to 2.8.1, and 2.9.0 to 2.9.1 are impacted by this vulnerability.

Exploitation Mechanism

The vulnerability can be exploited by providing a negative

ksize

argument to the

AvgPoolOp

function, triggering the

CHECK

failure.

Mitigation and Prevention

To secure systems against CVE-2022-35941, follow the mitigation strategies outlined below.

Immediate Steps to Take

Users are urged to update TensorFlow to versions 2.7.2, 2.8.1, 2.9.1, or newer to address the vulnerability. Additionally, monitoring for any unexpected crashes is advised.

Long-Term Security Practices

Practicing secure coding habits, performing regular security assessments, and staying informed about software patches are essential for long-term security.

Patching and Updates

It is crucial to apply the provided patches and updates by TensorFlow to fix the

CHECK

failure in the

AvgPoolOp

function.