CVE-2022-23590 : What You Need to Know

Tensorflow is an Open Source Machine Learning Framework. A

GraphDef

from a TensorFlow

SavedModel

can be maliciously altered to cause a TensorFlow process to crash due to encountering a

StatusOr

value that is an error and forcibly extracting the value from it. The issue has been patched in multiple GitHub commits, which will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, both of which are affected.

Understanding CVE-2022-20657

This section will delve into what CVE-2022-23590 involves and its impact.

What is CVE-2022-20657?

CVE-2022-23590 involves a vulnerability in Tensorflow where a

GraphDef

from a TensorFlow

SavedModel

can be manipulated to crash a TensorFlow process by extracting an error-containing

StatusOr

value.

The Impact of CVE-2022-20657

The impact of this vulnerability is rated as MEDIUM with a CVSS base score of 5.9. It has a high availability impact and requires no special privileges for exploitation. Confidentiality and integrity impacts are assessed as none.

Technical Details of CVE-2022-20657

In this section, we will explore the technical aspects of the CVE in more detail.

Vulnerability Description

The vulnerability arises from the ability to modify a

GraphDef

to trigger a crash in a TensorFlow process by interacting with a faulty

StatusOr

value.

Affected Systems and Versions

Tensorflow versions that are affected include >= 2.7.0 and < 2.8.0.

Exploitation Mechanism

The vulnerability can be exploited by maliciously altering the

GraphDef

from a TensorFlow

SavedModel

to extract an error-containing

StatusOr

value.

Mitigation and Prevention

This section will outline steps to mitigate the impact of CVE-2022-23590 and prevent future occurrences.

Immediate Steps to Take

Apply the necessary patches provided by TensorFlow for versions 2.8.0 and 2.7.1.

Long-Term Security Practices

Regularly update TensorFlow to the latest stable releases to ensure that known vulnerabilities are addressed promptly.

Patching and Updates

Keep track of security advisories from TensorFlow and promptly apply any recommended updates to stay protected from potential threats.