Explore CVE-2022-41880, a vulnerability in TensorFlow impacting versions 2.8.4 to 2.10.1. Learn about the impact, affected systems, exploitation, and mitigation measures.
TensorFlow is an open-source platform for machine learning. This CVE, assigned the ID CVE-2022-41880, involves a vulnerability known as ThreadUnsafeUnigramCandidateSampler Heap out of bounds in TensorFlow.
Understanding CVE-2022-41880
This section will delve into the details of the vulnerability and its impact.
What is CVE-2022-41880?
The vulnerability occurs when the
BaseCandidateSamplerOp
function in TensorFlow encounters a value in true_classes
larger than range_max
, leading to a heap out-of-bounds read.
The Impact of CVE-2022-41880
The impact of this vulnerability is rated as medium severity with a base score of 6.8. It can potentially allow attackers to read data outside the allocated memory space, which could compromise the confidentiality and integrity of the system.
Technical Details of CVE-2022-41880
Let's explore the technical details related to this vulnerability.
Vulnerability Description
The issue results in a heap out-of-bounds read in TensorFlow, specifically in the
BaseCandidateSamplerOp
function.
Affected Systems and Versions
Affected versions include TensorFlow 2.10.0 to 2.10.1, 2.9.0 to 2.9.3, and versions below 2.8.4.
Exploitation Mechanism
Attackers can potentially exploit this vulnerability by providing a specific value in
true_classes
that exceeds the defined range_max
, triggering the out-of-bounds read.
Mitigation and Prevention
This section covers recommended steps to mitigate the risks posed by CVE-2022-41880.
Immediate Steps to Take
Users are advised to update TensorFlow to version 2.11 which includes the patch for this vulnerability. Additionally, for versions still within the supported range, such as 2.10.1, 2.9.3, and 2.8.4, the patch will be backported.
Long-Term Security Practices
Implement secure coding practices, perform regular security audits, and stay informed about patches and updates released by TensorFlow.
Patching and Updates
Ensure timely installation of patches and updates provided by TensorFlow to address known vulnerabilities and enhance the security posture of the environment.