CVE-2022-21738 : Security Advisory and Response

Tensorflow, an Open Source Machine Learning Framework, is vulnerable to an integer overflow leading to a process crash when using

SparseCountSparseOutput

. This vulnerability affects versions up to TensorFlow 2.8.0. The issue is classified as medium severity with a CVSS base score of 6.5.

Understanding CVE-2022-21738

This section provides an overview of the vulnerability, its impact, technical details, and mitigation steps.

What is CVE-2022-21738?

CVE-2022-21738 is an integer overflow vulnerability in Tensorflow that can be exploited to crash a TensorFlow process due to an integer overflow during memory allocation.

The Impact of CVE-2022-21738

The vulnerability has a medium severity rating with a CVSS base score of 6.5. It can lead to a denial of service condition, impacting the availability of the affected systems.

Technical Details of CVE-2022-21738

Let's delve into the specifics of this vulnerability.

Vulnerability Description

The flaw arises from an integer overflow in

SparseCountSparseOutput

implementation, leading to a crash in a TensorFlow process.

Affected Systems and Versions

All versions up to TensorFlow 2.8.0 are affected by this vulnerability. TensorFlow 2.7.1, 2.6.3, and 2.5.3 are also impacted and will receive fixes.

Exploitation Mechanism

An attacker can exploit this vulnerability by triggering the integer overflow, resulting in a crash that could disrupt critical operations.

Mitigation and Prevention

Discover the steps to protect your systems from CVE-2022-21738.

Immediate Steps to Take

Update TensorFlow to version 2.8.0 or apply the necessary patches as per the TensorFlow team's recommendations.

Long-Term Security Practices

Regularly update and patch your TensorFlow installations to safeguard against known vulnerabilities.

Patching and Updates

Keep track of security advisories and apply updates promptly to mitigate the risk of exploitation.