CVE-2022-23568 : Security Advisory and Response

Tensorflow is an Open Source Machine Learning Framework that is affected by an integer overflow vulnerability in the

AddManySparseToTensorsMap

implementation. This vulnerability can lead to a denial of service due to an assert failure. The impact is rated as MEDIUM.

Understanding CVE-2022-23568

This CVE involves an integer overflow vulnerability in Tensorflow that can result in a denial of service when building new TensorShape objects.

What is CVE-2022-23568?

CVE-2022-23568 is an integer overflow vulnerability in Tensorflow's

AddManySparseToTensorsMap

implementation that can lead to a denial of service through an assert failure.

The Impact of CVE-2022-23568

The impact of CVE-2022-23568 is rated as MEDIUM with a base score of 6.5. It has a low attack complexity and requires low privileges to exploit. The availability impact is high.

Technical Details of CVE-2022-23568

The vulnerability arises from missing validation on the shapes of input tensors and directly constructing a large TensorShape with user-provided dimensions.

Vulnerability Description

The vulnerability allows for an integer overflow in Tensorflow, leading to a denial of service based on assert failure.

Affected Systems and Versions

The affected versions of Tensorflow include 2.8.0, 2.7.1, 2.6.3, and 2.5.3.

Exploitation Mechanism

Attackers can exploit this vulnerability through a network-based attack vector with low privileges required.

Mitigation and Prevention

To mitigate the risks associated with CVE-2022-23568, immediate steps should be taken in addition to implementing long-term security practices and applying necessary patches and updates.

Immediate Steps to Take

Users are advised to update Tensorflow to version 2.8.0 or apply the necessary patches for versions 2.7.1, 2.6.3, and 2.5.3.

Long-Term Security Practices

It is recommended to follow secure coding practices, conduct regular security audits, and stay informed about security advisories.

Patching and Updates

Ensure that the Tensorflow framework is regularly updated with the latest security patches to address known vulnerabilities.