CVE-2022-36003 : Security Advisory and Response

A vulnerability has been identified in TensorFlow that could allow an attacker to trigger a denial of service attack through a

CHECK

fail in the

RandomPoissonV2

function. This CVE has a CVSS base score of 5.9, indicating a medium severity issue.

Understanding CVE-2022-36003

This section will provide detailed insights into the nature of the vulnerability and its potential impact.

What is CVE-2022-36003?

CVE-2022-36003 is a vulnerability in TensorFlow, an open source platform for machine learning. The issue arises when the

RandomPoissonV2

function encounters large input shape and rates, leading to a

CHECK

fail that could be exploited for a denial of service attack.

The Impact of CVE-2022-36003

The vulnerability has a CVSS base score of 5.9, with a high availability impact. While it requires no special privileges to exploit, the attack complexity is considered high due to its network-based nature. The integrity and confidentiality of the system are not impacted.

Technical Details of CVE-2022-36003

In this section, we will delve into the technical aspects of the CVE, including its description, affected systems and versions, as well as the exploitation mechanism.

Vulnerability Description

The vulnerability in

RandomPoissonV2

of TensorFlow can be triggered by providing large input shape and rates, resulting in a denial of service condition. The issue has been addressed in TensorFlow 2.10.0, with patches provided for versions 2.9.1, 2.8.1, and 2.7.2.

Affected Systems and Versions

The vulnerability affects TensorFlow versions earlier than 2.7.2, as well as versions 2.8.0 to 2.8.1, and 2.9.0 to 2.9.1.

Exploitation Mechanism

Exploiting this vulnerability requires sending crafted input to the

RandomPoissonV2

function, triggering the

CHECK

fail and subsequently causing a denial of service attack.

Mitigation and Prevention

This section will outline the steps that users and organizations can take to mitigate the risks associated with CVE-2022-36003.

Immediate Steps to Take

To mitigate the vulnerability, users are advised to update their TensorFlow installations to version 2.10.0 or apply the provided patches for versions 2.9.1, 2.8.1, and 2.7.2.

Long-Term Security Practices

In the long term, it is recommended to stay updated with security advisories from TensorFlow and promptly apply patches and updates to address any potential vulnerabilities.

Patching and Updates

Regularly check for security updates and patches released by TensorFlow to ensure that your system is protected against known vulnerabilities.