CVE-2022-36012 : Vulnerability Insights and Analysis

TensorFlow is an open source platform for machine learning that encountered an assertion failure due to empty function attributes. The issue, identified as CVE-2022-36012, has a base score of 5.9 and a medium severity rating.

Understanding CVE-2022-36012

This CVE highlights a vulnerability in TensorFlow related to empty function attributes causing a crash.

What is CVE-2022-36012?

When

mlir::tfg::ConvertGenericFunctionToFunctionDef

encounters empty function attributes, it triggers a crash in TensorFlow.

The Impact of CVE-2022-36012

The vulnerability has a base score of 5.9, with high availability impact and attack complexity.

Technical Details of CVE-2022-36012

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

Vulnerability Description

The vulnerability causes TensorFlow to crash when handling empty function attributes.

Affected Systems and Versions

TensorFlow versions < 2.7.2, >= 2.8.0, < 2.8.1, and >= 2.9.0, < 2.9.1 are impacted by this issue.

Exploitation Mechanism

The vulnerability can be exploited when

mlir::tfg::ConvertGenericFunctionToFunctionDef

receives empty function attributes.

Mitigation and Prevention

It is crucial to take immediate steps to address this vulnerability in TensorFlow.

Immediate Steps to Take

Update TensorFlow to version 2.10.0 or apply the fix included in commit ad069af92392efee1418c48ff561fd3070a03d7b.

Long-Term Security Practices

Regularly update TensorFlow and apply security patches to prevent such vulnerabilities.

Patching and Updates

Ensure that TensorFlow is kept up to date to mitigate the risks associated with CVE-2022-36012.