CVE-2022-23593 : Security Advisory and Response

Tensorflow is an open-source machine learning framework. The

simplifyBroadcast

function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault, leading to denial of service, if called with scalar shapes. The issue affects TensorFlow version >= 2.7.0 and < 2.8.0. The fix will be included in TensorFlow version 2.8.0.

Understanding CVE-2022-23593

This vulnerability in TensorFlow can be triggered by calling the

simplifyBroadcast

function with scalar shapes, resulting in a denial of service due to a segfault.

What is CVE-2022-23593?

CVE-2022-23593 refers to the vulnerability in the

simplifyBroadcast

function in the MLIR-TFRT infrastructure in TensorFlow, impacting versions >= 2.7.0 and < 2.8.0.

The Impact of CVE-2022-23593

The impact of this CVE includes a denial of service due to a segfault when using scalar shapes with the vulnerable function in TensorFlow.

Technical Details of CVE-2022-23593

The following technical details provide more insight into the vulnerability:

Vulnerability Description

The vulnerability arises when the

simplifyBroadcast

function is called with scalar shapes, leading to a segfault and denial of service.

Affected Systems and Versions

Affected systems include those running TensorFlow versions >= 2.7.0 and < 2.8.0.

Exploitation Mechanism

Exploitation of this vulnerability involves triggering the

simplifyBroadcast

function with scalar shapes, causing the denial of service.

Mitigation and Prevention

To address CVE-2022-23593, consider the following mitigation strategies:

Immediate Steps to Take

Update TensorFlow to version 2.8.0 once the fix is released to mitigate the vulnerability.

Long-Term Security Practices

Adopt best practices for securely deploying and utilizing machine learning frameworks to reduce exposure to vulnerabilities.

Patching and Updates

Regularly apply updates and patches provided by TensorFlow to address known vulnerabilities.