CVE-2022-23586 Explained : Impact and Mitigation

A detailed overview of multiple

CHECK

-fails in

function.cc

in Tensorflow and its impact.

Understanding CVE-2022-23586

This CVE relates to multiple

CHECK

-fails in

function.cc

in Tensorflow leading to a denial of service vulnerability.

What is CVE-2022-23586?

Tensorflow, an open-source machine learning framework, is affected by a vulnerability that allows a malicious user to cause a denial of service by manipulating a

SavedModel

file.

The Impact of CVE-2022-23586

The vulnerability can be exploited to falsify assertions in

function.cc

and crash the Python interpreter, resulting in a high impact on system availability.

Technical Details of CVE-2022-23586

Details on the vulnerability, affected systems, and exploitation method.

Vulnerability Description

The issue arises from

CHECK

statements in

function.cc

that can be manipulated to disrupt the Python interpreter, causing a denial of service.

Affected Systems and Versions

TensorFlow versions prior to 2.5.3
TensorFlow versions >= 2.6.0 and < 2.6.3
TensorFlow versions >= 2.7.0 and < 2.7.1

Exploitation Mechanism

By altering specific parts of a

SavedModel

, an attacker can trigger the vulnerability, leading to a service interruption.

Mitigation and Prevention

Steps to mitigate the vulnerability and prevent future occurrences.

Immediate Steps to Take

Users should update their Tensorflow installations to versions 2.8.0 or apply the specific fixes backported to versions 2.5.3, 2.6.3, and 2.7.1.

Long-Term Security Practices

Regularly updating software, monitoring security advisories, and implementing secure coding practices can help prevent similar vulnerabilities.

Patching and Updates

Ensure timely application of patches provided by Tensorflow to address the vulnerability and enhance system security.