CVE-2023-25672 : Vulnerability Insights and Analysis

This CVE entry pertains to a vulnerability in TensorFlow that exposes a Null Pointer Error in the function LookupTableImportV2.

Understanding CVE-2023-25672

This vulnerability is identified in TensorFlow, an open-source platform commonly used for machine learning tasks. The specific issue lies in the

tf.raw_ops.LookupTableImportV2

function, where it fails to handle scalars in the

values

parameter, leading to a Null Pointer Error (NPE). A solution to this problem has been implemented in TensorFlow versions 2.12.0 and 2.11.1.

What is CVE-2023-25672?

The CVE-2023-25672 vulnerability involves a Null Pointer Dereference issue in TensorFlow, which could be exploited due to improper handling of certain parameters within the LookupTableImportV2 function.

The Impact of CVE-2023-25672

This vulnerability poses a significant threat with a CVSS base severity rating of 7.5, given its potential for a high impact on availability. An attacker could exploit this flaw to potentially disrupt the functioning of TensorFlow applications, causing downtime or denial of service.

Technical Details of CVE-2023-25672

The technical details of this CVE provide insight into the vulnerability, affected systems, and how it can be exploited.

Vulnerability Description

The vulnerability in TensorFlow arises from the inability of the function LookupTableImportV2 to handle scalars in the

values

parameter correctly. This leads to a Null Pointer Error, potentially allowing attackers to exploit the issue.

Affected Systems and Versions

The impacted system is TensorFlow, specifically versions prior to 2.11.1. Users utilizing TensorFlow versions below 2.11.1 are at risk of encountering the Null Pointer Dereference vulnerability in the LookupTableImportV2 function.

Exploitation Mechanism

By sending specially crafted input to the LookupTableImportV2 function in TensorFlow versions below 2.11.1, attackers could trigger the Null Pointer Error, potentially leading to unauthorized access, data manipulation, or service disruption.

Mitigation and Prevention

Addressing the CVE-2023-25672 vulnerability requires immediate action to secure TensorFlow implementations and prevent exploitation.

Immediate Steps to Take

Users are strongly advised to update their TensorFlow installations to version 2.11.1 or higher to mitigate the vulnerability.
Implement access controls and input validation mechanisms to prevent unauthorized inputs that may trigger the Null Pointer Error.

Long-Term Security Practices

Regularly monitor for security advisories and updates from TensorFlow to stay informed about potential vulnerabilities.
Conduct routine security assessments and audits to identify and address any security weaknesses in machine learning applications.

Patching and Updates

Utilize official patches and updates provided by TensorFlow to ensure the latest security fixes are applied promptly.
Maintain a proactive approach to patch management to safeguard against known vulnerabilities and enhance the overall security posture of TensorFlow deployments.