Calcium Vulnerability Scanner (CVS): A Deeper Look

TL;DR

The Calcium Vulnerability Scanner (CVS) offers a highly efficient, accurate, and scalable approach to network vulnerability scanning, significantly reducing time and traffic while improving detection precision and learning from past scans.

Contribution

The paper introduces CVS, a novel vulnerability scanner that drastically reduces scanning time and network traffic, while significantly increasing accuracy and enabling learning from previous scans.

Findings

Reduced scanning time by 79% on average

Decreased network traffic by 99.9%

Improved accuracy by 2600%

Abstract

Traditional vulnerability scanning methods are time-consuming and indecisive, and they negatively affect network performance by generating high network traffic. In this paper, we present a novel vulnerability scanner that is time-efficient, simple, accurate, and safe. We call it a Calcium Vulnerability Scanner (CVS). Our contribution to vulnerability scanning are the following: (i) minimize its required time and network traffic: compared to current technologies, we reduced the former by an average of 79% and the latter by 99.9%, (ii) increase its accuracy: compared to current technologies, we improved this by an average of 2600%, and (iii) enable the scanner to learn from previous scans in order to reduce future scanning time and enhance accuracy: compared to current technologies, CVS reduced scanning time by an average of 97%. CVS enables a new frontier in vulnerability scanning and allow for scalable and efficient deployment of such tools in large-scale networks, containers, edge computing, and cloud computing.