Enhancing Security Testing Software for Systems that Cannot be Subjected to the Risks of Penetration Testing Through the Incorporation of Multi-threading and and Other Capabilities

Matthew Tassava, Cameron Kolodjski, Jordan Milbrath, Jeremy Straub
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Abstract

The development of a system vulnerability analysis tool (SVAT) for complex mission critical systems (CMCS) produced the software for operation and network attack results review (SONARR). This software builds upon the Blackboard Architecture and uses its a rule-fact logic to assess model networks to identify potential pathways that an attacker might take through them via the exploitation of vulnerabilities within the network. The SONARR objects and algorithm were developed previously; however, performance was insufficient for analyzing large networks. This paper describes and analyzes the performance of a multi-threaded SONARR algorithm and other enhancements which were developed to increase SONARR's performance and facilitate the analysis of large networks.
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通过纳入多线程和其他功能,为无法承受渗透测试风险的系统增强安全测试软件
为复杂关键任务系统(CMCS)开发的系统漏洞分析工具(SVAT)产生了操作和网络攻击结果审查软件(SONARR)。该软件建立在黑板架构(BlackboardArchitecture)的基础上,利用其规则-事实逻辑来评估模型网络,以识别攻击者通过利用网络中的漏洞而可能通过的路径。SONARR 对象和算法是以前开发的,但其性能不足以分析大型网络。本文介绍并分析了多线程 SONARR 算法的性能,以及为提高 SONARR 性能和促进大型网络分析而开发的其他增强功能。
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