CVE-2022-35982 : Vulnerability Insights and Analysis

This article provides an overview of CVE-2022-35982, a vulnerability in TensorFlow related to

SparseBincount

that could lead to a denial of service attack.

Understanding CVE-2022-35982

This CVE highlights a vulnerability in TensorFlow that could be exploited to trigger a denial of service attack.

What is CVE-2022-35982?

TensorFlow, an open-source machine learning platform, is impacted by a flaw in the

SparseBincount

function. This vulnerability allows attackers to induce a segfault, leading to a denial of service attack.

The Impact of CVE-2022-35982

The impact of this vulnerability is rated as MEDIUM with a base score of 5.9. It can be triggered remotely without requiring user interaction, potentially resulting in high availability impact.

Technical Details of CVE-2022-35982

This section delves into the technical aspects of the vulnerability.

Vulnerability Description

The issue arises when

SparseBincount

receives invalid inputs for

indices

,

values

, and

dense_shape

, causing a segfault that can be exploited by threat actors.

Affected Systems and Versions

TensorFlow versions below 2.7.2 are affected, along with versions between 2.8.0 and 2.8.1, and 2.9.0 to 2.9.1.

Exploitation Mechanism

Attackers can exploit this vulnerability by providing malicious inputs to the

SparseBincount

function, triggering the denial of service attack.

Mitigation and Prevention

Protecting systems against CVE-2022-35982 involves taking immediate steps and implementing long-term security practices.

Immediate Steps to Take

Ensure all affected TensorFlow versions are updated to the patched versions, specifically TensorFlow 2.7.2, 2.8.1, 2.9.1, or higher.

Long-Term Security Practices

Regularly check for security advisories and apply patches promptly to prevent exploitation of known vulnerabilities.

Patching and Updates

Stay informed about security updates from TensorFlow and promptly apply any patches released to mitigate the risk of exploitation.