CVE-2022-23562 : Vulnerability Insights and Analysis

Tensorflow, an Open Source Machine Learning Framework, is impacted by an integer overflow vulnerability. This vulnerability exists in the implementation of

Range

and can lead to undefined behavior or large allocations. The affected versions include Tensorflow >= 2.7.0 and < 2.7.1, Tensorflow >= 2.6.0 and < 2.6.3, and Tensorflow < 2.5.3. The issue will be fixed in Tensorflow 2.8.0, with backports to versions 2.7.1, 2.6.3, and 2.5.3.

Understanding CVE-2022-23562

This section provides insights into the impact, technical details, and mitigation steps related to CVE-2022-23562.

What is CVE-2022-23562?

CVE-2022-23562 is an integer overflow vulnerability in Tensorflow's

Range

implementation, which can result in unpredictable behavior or large memory allocations. The vulnerability affects certain versions of Tensorflow.

The Impact of CVE-2022-23562

The impact of this vulnerability is rated as high severity, with a CVSS base score of 7.6. It can lead to denial of service due to high availability impact. However, the confidentiality and integrity impacts are rated as low.

Technical Details of CVE-2022-23562

Below are the technical details regarding the vulnerability.

Vulnerability Description

The vulnerability arises from integer overflows in the

Range

function implementation within Tensorflow, potentially causing undefined behavior and memory management issues.

Affected Systems and Versions

Tensorflow versions >= 2.7.0 and < 2.7.1, >= 2.6.0 and < 2.6.3, and < 2.5.3 are affected by this vulnerability.

Exploitation Mechanism

The exploitation of this vulnerability requires network access and low privileges. The attack complexity is rated as low without any user interaction required.

Mitigation and Prevention

To address CVE-2022-23562, follow the below mitigation strategies.

Immediate Steps to Take

Ensure to update affected Tensorflow installations to version 2.8.0 once the fix is released. For immediate protection, consider applying available patches or workarounds.

Long-Term Security Practices

Implement secure coding practices to mitigate the risk of integer vulnerabilities in software development processes. Regularly monitor for security advisories and apply updates promptly.

Patching and Updates

Stay informed about security updates from Tensorflow and apply patches as soon as they are available to address known vulnerabilities.