CVE-2022-35952 : Vulnerability Insights and Analysis

A detailed overview of the

CHECK

failures in

UnbatchGradOp

in TensorFlow and its implications.

Understanding CVE-2022-20657

In this section, we will delve into the nature of the vulnerability and its impact.

What is CVE-2022-35952?

TensorFlow's

UnbatchGradOp

function vulnerability allows a nonscalar

id

to trigger a

CHECK

failure, potentially crashing the program. An incorrect

batch_index

can also lead to a

CHECK

failure. This issue has been patched in TensorFlow versions 2.7.2, 2.8.1, 2.9.1, and will be included in TensorFlow 2.10.0.

The Impact of CVE-2022-35952

The vulnerability has a CVSS base score of 5.9, indicating a medium severity issue. It has a high availability impact as it can crash the program but does not affect confidentiality or integrity. The attack complexity is high, occurring over a network without requiring privileges or user interaction.

Technical Details of CVE-2022-35952

Explore the specific technical aspects of the vulnerability.

Vulnerability Description

The vulnerability arises from

UnbatchGradOp

function's handling of

id

and

batch_index

, leading to potential

CHECK

failures and program crashes.

Affected Systems and Versions

TensorFlow versions below 2.7.2 and between 2.8.0 - 2.8.1, and 2.9.0 - 2.9.1 are affected by this vulnerability.

Exploitation Mechanism

An attacker can exploit this vulnerability by providing a nonscalar

id

or an incorrect

batch_index

, triggering

CHECK

failures.

Mitigation and Prevention

Learn about the steps to mitigate and prevent the exploitation of CVE-2022-35952.

Immediate Steps to Take

Users should update their TensorFlow installations to versions 2.7.2, 2.8.1, 2.9.1, or newer to patch this vulnerability.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions and stay informed about security advisories to ensure a secure environment.

Patching and Updates

Patches for this vulnerability are available in TensorFlow versions 2.7.2, 2.8.1, and 2.9.1, and will be included in TensorFlow 2.10.0.