CVE-2022-23570 : What You Need to Know

Tensorflow, an Open Source Machine Learning Framework, is impacted by a vulnerability that could result in a null-dereference when decoding a tensor from protobuf. This could lead to a crash due to assertion failure in debug builds.

Understanding CVE-2022-23570

This CVE affects TensorFlow versions 2.5.3 and below, 2.6.0 to 2.6.3, and 2.7.0 to 2.7.1.

What is CVE-2022-23570?

The vulnerability in TensorFlow could trigger a null-dereference issue during the decoding process, leading to a crash in debug builds. The issue stems from missing attributes of mutable arguments in protobuf.

The Impact of CVE-2022-23570

The impact is rated as medium severity with a CVSS base score of 6.5. It has a high availability impact but does not affect confidentiality or integrity.

Technical Details of CVE-2022-23570

Vulnerability Description

When decoding a tensor from protobuf, TensorFlow may face a null-dereference due to missing attributes of mutable arguments, potentially causing a crash.

Affected Systems and Versions

TensorFlow versions >= 2.7.0, < 2.7.1, >= 2.6.0, < 2.6.3, and < 2.5.3 are affected by this vulnerability

Exploitation Mechanism

The null-dereference occurs when certain attributes of mutable arguments to operations are absent from the proto, leading to a potential crash.

Mitigation and Prevention

It is crucial to take immediate action to address this vulnerability to safeguard systems and data.

Immediate Steps to Take

Users are advised to update TensorFlow to version 2.8.0, which includes a fix for this issue. Those running affected versions should prioritize patching to prevent exploitation.

Long-Term Security Practices

Regularly update TensorFlow and other software components to stay protected against known vulnerabilities. Implement secure coding practices to mitigate similar risks in the future.

Patching and Updates

Ensure that all systems running TensorFlow are updated to the latest patched versions to mitigate the risk of null-dereference vulnerabilities.