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Journal of Applied Mathematics
Volume 2014, Article ID 932397, 9 pages
Research Article

A Software Vulnerability Rating Approach Based on the Vulnerability Database

School of Software, Tsinghua University, Beijing 100084, China

Received 14 March 2014; Accepted 14 May 2014; Published 29 May 2014

Academic Editor: Xiaoyu Song

Copyright © 2014 Jian Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


CVSS is a specification for measuring the relative severity of software vulnerabilities. The performance values of the CVSS given by CVSS-SIG cannot describe the reasons for the software vulnerabilities. This approach fails to distinguish between software vulnerabilities that have the same score but different levels of severity. In this paper, a software vulnerability rating approach (SVRA) is proposed. The vulnerability database is used by SVRA to analyze the frequencies of CVSS’s metrics at different times. Then, the equations for both exploitability and impact subscores are given in terms of these frequencies. SVRA performs a weighted average of these two subscores to create an SVRA score. The score of a vulnerability is dynamically calculated at different times using the vulnerability database. Experiments were performed to validate the efficiency of the SVRA.