Maureen Doyle, James Walden Northern Kentucky University Students: Grant Welch, Michael Whelan Acknowledgements: Dhanuja Kasturiratna. Security of Open Source Web Applications. Outline. Research Objective Related Work Results Analysis Future Work. Research Objective.
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Students: Grant Welch, Michael Whelan
Acknowledgements: Dhanuja KasturiratnaSecurity of Open Source Web Applications
Goal: Identify effects of time, size, complexity, and change rate on vulnerability density (VD) of open source web applications.
Reported Vulnerabilities in NVD or OSVD
Complexity and Change Metrics
Range of projects
Overall security improvement.
High compared to Coverity’s 0.30 SAVD.
No correlation with NVD vulnerabilities.
week 1: projects ranged from 0 to 121.4 vulns/kloc
week 100: projects varied from 0.20 to 60.86 vulns/kloc
1st drop: New data sanitization and input handling.
2nd drop: Fixed CVE-2006-3174 vulnerabilities.
No single metric is predictive for SAVD.
Complexity is an indicator for SAVD.
Churn is not an indicator for SAVD.
Analyzing vulnerability type information
Why does app security vary so much?
How do we validate SAVD measurement?
Java web applications