NDLI: Architecture-Driven Penetration Testing against an Identity Access Management (IAM) System

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Architecture-Driven Penetration Testing against an Identity Access Management (IAM) System

Content Provider	ACM Digital Library
Author	Chung, Sam Endicott-Popovsky, Barbara Moon, Sky
Abstract	The purpose of this research is to propose architecture-driven, penetration testing equipped with a software reverse and forward engineering process. Although the importance of architectural risk analysis has been emphasized in software security, no methodology is shown to answer how to discover the architecture and abuse cases of a given insecure legacy system and how to modernize it to a secure target system. For this purpose, we propose an architecture-driven penetration testing methodology: 4+1 architectural views of the given insecure legacy system, documented to discover program paths for vulnerabilities through a reverse engineering process. Then, vulnerabilities are identified by using the discovered architecture abuse cases and countermeasures are proposed on identified vulnerabilities. As a case study, a telecommunication company's Identity Access Management (IAM) system is used for discovering its software architecture, identifying the vulnerabilities of its architecture, and providing possible countermeasures. Our empirical results show that functional suggestions would be relatively easier to follow up and less time-consuming work to fix; however, architectural suggestions would be more complicated to follow up, even though it would guarantee better security and take full advantage of OAuth 2.0 supporting communities.
Starting Page	13
Ending Page	18
Page Count	6
File Format	PDF
ISBN	9781450344531
DOI	10.1145/2978178.2978183
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Software architecture Identity and access management environment Oauth 2.0 Penetration testing
Content Type	Text
Resource Type	Article

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