CVE-2022-36015 : What You Need to Know

TensorFlow, an open-source platform for machine learning, is affected by an integer overflow vulnerability in math operations. This CVE-2022-36015 impacts TensorFlow versions before 2.7.2, between 2.8.0 and 2.8.1, and between 2.9.0 and 2.9.1. The issue arises when

RangeSize

receives values that exceed the

int64_t

range, resulting in a crash. The patch for this vulnerability has been implemented in TensorFlow 2.10.0, with backporting to versions 2.9.1, 2.8.1, and 2.7.2 to address the affected versions.

Understanding CVE-2022-36015

This section provides insights into the vulnerability impact, technical details, and mitigation strategies.

What is CVE-2022-36015?

CVE-2022-36015 is an integer overflow vulnerability in math operations in TensorFlow, leading to a potential crash when specific values are processed.

The Impact of CVE-2022-36015

The vulnerability poses a medium severity risk with a CVSS base score of 5.9. It has a high availability impact, but no confidentiality or integrity impact. The attack complexity is high, with an attack vector over the network.

Technical Details of CVE-2022-36015

This section outlines the specific technical aspects of the vulnerability.

Vulnerability Description

When certain values are processed by

RangeSize

beyond the

int64_t

limit, TensorFlow crashes due to the integer overflow issue.

Affected Systems and Versions

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

Exploitation Mechanism

The vulnerability can be exploited when malicious inputs cause the

RangeSize

function to handle values that trigger an integer overflow.

Mitigation and Prevention

Learn how to address and prevent CVE-2022-36015 for enhanced system security.

Immediate Steps to Take

It is recommended to update TensorFlow to version 2.10.0 or apply the necessary patches to versions 2.9.1, 2.8.1, and 2.7.2 to mitigate the vulnerability.

Long-Term Security Practices

Implement secure coding practices and regular vulnerability assessments to prevent similar integer overflow issues.

Patching and Updates

Stay informed about security updates and promptly apply patches released by TensorFlow to maintain system integrity.