{"title":"symbSODA:主动恶意软件欺骗的可配置和可验证编排自动化","authors":"Md Sajidul Islam Sajid, Jinpeng Wei, Ehab Al-Shaer, Qi Duan, Basel Abdeen, Latifur Khan","doi":"10.1145/3624568","DOIUrl":null,"url":null,"abstract":"Malware is commonly used by adversaries to compromise and infiltrate cyber systems in order to steal sensitive information or destroy critical assets. Active Cyber Deception (ACD) has emerged as an effective proactive cyber defense against malware to enable misleading adversaries by presenting fake data and engaging them to learn novel attack techniques. However, real-time malware deception is a complex and challenging task because (1) it requires a comprehensive understanding of the malware behaviors at technical and tactical levels in order to create the appropriate deception ploys and resources that can leverage this behavior and mislead malware, and (2) it requires a configurable yet provably valid deception planning to guarantee effective and safe real-time deception orchestration. This article presents symbSODA, a highly configurable and verifiable cyber deception system that analyzes real-world malware using multipath execution to discover API patterns that represent attack techniques/tactics critical for deception, enables users to create their own customized deception ploys based on the malware type and objectives, allows for constructing conflict-free Deception Playbooks , and finally automates the deception orchestration to execute the malware inside a deceptive environment. symbSODA extracts Malicious Sub-graphs (MSGs) consisting of WinAPIs from real-world malware and maps them to tactics and techniques using the ATT&CK framework to facilitate the construction of meaningful user-defined deception playbooks. We conducted a comprehensive evaluation study on symbSODA using 255 recent malware samples. We demonstrated that the accuracy of the end-to-end malware deception is 95% on average, with negligible overhead using various deception goals and strategies. Furthermore, our approach successfully extracted MSGs with a 97% recall, and our MSG-to-MITRE mapping achieved a top-1 accuracy of 88.75%. Our study suggests that symbSODA can serve as a general-purpose Malware Deception Factory to automatically produce customized deception playbooks against arbitrary malware behavior.","PeriodicalId":56050,"journal":{"name":"ACM Transactions on Privacy and Security","volume":"3 9","pages":"0"},"PeriodicalIF":3.0000,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"symbSODA: Configurable and Verifiable Orchestration Automation for Active Malware Deception\",\"authors\":\"Md Sajidul Islam Sajid, Jinpeng Wei, Ehab Al-Shaer, Qi Duan, Basel Abdeen, Latifur Khan\",\"doi\":\"10.1145/3624568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Malware is commonly used by adversaries to compromise and infiltrate cyber systems in order to steal sensitive information or destroy critical assets. Active Cyber Deception (ACD) has emerged as an effective proactive cyber defense against malware to enable misleading adversaries by presenting fake data and engaging them to learn novel attack techniques. However, real-time malware deception is a complex and challenging task because (1) it requires a comprehensive understanding of the malware behaviors at technical and tactical levels in order to create the appropriate deception ploys and resources that can leverage this behavior and mislead malware, and (2) it requires a configurable yet provably valid deception planning to guarantee effective and safe real-time deception orchestration. This article presents symbSODA, a highly configurable and verifiable cyber deception system that analyzes real-world malware using multipath execution to discover API patterns that represent attack techniques/tactics critical for deception, enables users to create their own customized deception ploys based on the malware type and objectives, allows for constructing conflict-free Deception Playbooks , and finally automates the deception orchestration to execute the malware inside a deceptive environment. symbSODA extracts Malicious Sub-graphs (MSGs) consisting of WinAPIs from real-world malware and maps them to tactics and techniques using the ATT&CK framework to facilitate the construction of meaningful user-defined deception playbooks. We conducted a comprehensive evaluation study on symbSODA using 255 recent malware samples. We demonstrated that the accuracy of the end-to-end malware deception is 95% on average, with negligible overhead using various deception goals and strategies. Furthermore, our approach successfully extracted MSGs with a 97% recall, and our MSG-to-MITRE mapping achieved a top-1 accuracy of 88.75%. Our study suggests that symbSODA can serve as a general-purpose Malware Deception Factory to automatically produce customized deception playbooks against arbitrary malware behavior.\",\"PeriodicalId\":56050,\"journal\":{\"name\":\"ACM Transactions on Privacy and Security\",\"volume\":\"3 9\",\"pages\":\"0\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2023-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Privacy and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3624568\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Privacy and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3624568","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
symbSODA: Configurable and Verifiable Orchestration Automation for Active Malware Deception
Malware is commonly used by adversaries to compromise and infiltrate cyber systems in order to steal sensitive information or destroy critical assets. Active Cyber Deception (ACD) has emerged as an effective proactive cyber defense against malware to enable misleading adversaries by presenting fake data and engaging them to learn novel attack techniques. However, real-time malware deception is a complex and challenging task because (1) it requires a comprehensive understanding of the malware behaviors at technical and tactical levels in order to create the appropriate deception ploys and resources that can leverage this behavior and mislead malware, and (2) it requires a configurable yet provably valid deception planning to guarantee effective and safe real-time deception orchestration. This article presents symbSODA, a highly configurable and verifiable cyber deception system that analyzes real-world malware using multipath execution to discover API patterns that represent attack techniques/tactics critical for deception, enables users to create their own customized deception ploys based on the malware type and objectives, allows for constructing conflict-free Deception Playbooks , and finally automates the deception orchestration to execute the malware inside a deceptive environment. symbSODA extracts Malicious Sub-graphs (MSGs) consisting of WinAPIs from real-world malware and maps them to tactics and techniques using the ATT&CK framework to facilitate the construction of meaningful user-defined deception playbooks. We conducted a comprehensive evaluation study on symbSODA using 255 recent malware samples. We demonstrated that the accuracy of the end-to-end malware deception is 95% on average, with negligible overhead using various deception goals and strategies. Furthermore, our approach successfully extracted MSGs with a 97% recall, and our MSG-to-MITRE mapping achieved a top-1 accuracy of 88.75%. Our study suggests that symbSODA can serve as a general-purpose Malware Deception Factory to automatically produce customized deception playbooks against arbitrary malware behavior.
期刊介绍:
ACM Transactions on Privacy and Security (TOPS) (formerly known as TISSEC) publishes high-quality research results in the fields of information and system security and privacy. Studies addressing all aspects of these fields are welcomed, ranging from technologies, to systems and applications, to the crafting of policies.