Author
Listed:
- Yudeep Rajbhandari
(Department of Computer Science, Baylor University, Waco, TX 76706, USA)
- Rokin Maharjan
(Department of Computer Science, Baylor University, Waco, TX 76706, USA)
- Sakshi Shrestha
(Department of Computing, East Tennessee State University, Johnson City, TN 37604, USA)
- Tomas Cerny
(Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ 85721, USA)
Abstract
Software attack surfaces define the external boundaries—entry points, communication channels, and sensitive data stores through which adversaries may compromise a system. This paper introduces a scoring mechanism that produces a normalized attack-surface metric in the range of 0–1. Building on the established Damage-Potential-to-Effort ratio, our approach further incorporates real-world vulnerability intelligence drawn from MITRE’s CVE and CWE repositories. We compute each application’s score by ingesting preliminary findings from a static-analysis tool and processing them through our unified model. To assess effectiveness, we validate the scoring system across a spectrum of scenarios, from a simple Java application to complex enterprise applications. The resulting metric offers development and security teams a concise, objective measure to monitor an application’s attack surface and hence proactively identify vulnerabilities in their applications. This tool can also be used to benchmark various third-party or dependent applications, enabling both developers and security practitioners to better manage risk.
Suggested Citation
Yudeep Rajbhandari & Rokin Maharjan & Sakshi Shrestha & Tomas Cerny, 2025.
"Attack Surface Score for Software Systems,"
Future Internet, MDPI, vol. 17(7), pages 1-19, July.
Handle:
RePEc:gam:jftint:v:17:y:2025:i:7:p:305-:d:1701284
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