CVE-2022-23577 : Vulnerability Insights and Analysis

Tensorflow is an Open Source Machine Learning Framework where the implementation of

GetInitOp

is vulnerable to a crash due to a null pointer dereference. The fix for this vulnerability will be included in TensorFlow version 2.8.0 along with cherry-picking the commit to versions 2.7.1, 2.6.3, and 2.5.3, as they are also affected.

Understanding CVE-2022-23577

This CVE highlights a vulnerability in Tensorflow related to a null pointer dereference, impacting versions before 2.8.0.

What is CVE-2022-23577?

CVE-2022-23577 is a vulnerability in Tensorflow that allows attackers to crash the application by dereferencing a null pointer in the

GetInitOp

implementation.

The Impact of CVE-2022-23577

The impact of this vulnerability is rated as MEDIUM with a CVSS base score of 6.5. It has a LOW attack complexity and HIGH availability impact. No confidentiality or integrity impacts are reported, and LOW privileges are required for exploitation.

Technical Details of CVE-2022-23577

This section covers a detailed analysis of the vulnerability.

Vulnerability Description

The vulnerability lies in the null pointer dereference in the

GetInitOp

function of Tensorflow.

Affected Systems and Versions

Systems using Tensorflow versions prior to 2.8.0 are impacted by this vulnerability.

Exploitation Mechanism

Attackers can exploit this vulnerability by manipulating input to dereference a null pointer, leading to a system crash.

Mitigation and Prevention

To address CVE-2022-23577, certain measures need to be taken.

Immediate Steps to Take

Users are advised to update their Tensorflow installations to version 2.8.0 or apply the necessary patches provided by the vendor.

Long-Term Security Practices

Regularly check for security advisories and updates from Tensorflow to stay informed about potential vulnerabilities.

Patching and Updates

Implement security patches promptly as new versions are released to mitigate the risk of this vulnerability.