CVE-2022-35984 : Exploit Details and Defense Strategies

A vulnerability has been discovered in TensorFlow that could allow an attacker to trigger a denial of service attack. Find out the impact, technical details, and mitigation steps below.

Understanding CVE-2022-35984

This CVE involves a vulnerability in TensorFlow that can be exploited to launch a denial of service attack.

What is CVE-2022-35984?

TensorFlow's

ParameterizedTruncatedNormal

function has a flaw where providing an invalid

shape

type could result in a

CHECK

fail, leading to potential denial of service.

The Impact of CVE-2022-35984

The impact of this vulnerability is rated as medium severity with a CVSS base score of 5.9. It has a high availability impact as it can be triggered remotely with no privileges required.

Technical Details of CVE-2022-35984

This section provides more detailed technical information about the vulnerability.

Vulnerability Description

The vulnerability arises due to a type mismatch in the

shape

parameter of

ParameterizedTruncatedNormal

in TensorFlow, leading to a denial of service risk.

Affected Systems and Versions

The affected versions include TensorFlow versions < 2.7.2, >= 2.8.0, < 2.8.1, and >= 2.9.0, < 2.9.1.

Exploitation Mechanism

By providing an invalid

shape

parameter of type

int64

instead of the expected

int32

, an attacker can trigger the vulnerability.

Mitigation and Prevention

Learn how to protect your systems from this vulnerability and what steps to take.

Immediate Steps to Take

Ensure you update TensorFlow to version 2.10.0 to fix the vulnerability. If not possible, apply the patch included in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51.

Long-Term Security Practices

Regularly update TensorFlow to the latest versions to mitigate any known vulnerabilities.

Patching and Updates

Keep an eye on security advisories and apply patches promptly to prevent exploitation.