{"title":"Time for Truth: Forensic Analysis of NTFS Timestamps","authors":"Michael Galhuber, R. Luh","doi":"10.1145/3465481.3470016","DOIUrl":null,"url":null,"abstract":"Timeline forgery a widely employed technique in computer anti-forensics. Numerous freely available and easy-to-use tampering tools make it difficult for forensic scientists to collect legally valid evidence and reconstruct a credible timeline. At the same time, the large number of possible file operations performed by a genuine user can result in a wide variety of timestamp patterns that pose a challenge when reconstructing a chain of events, especially since application-specific discrepancies are often disregarded. In this paper, we investigate timestamp patterns resulting from common user operations in NTFS, providing a much needed update to the Windows time rules derived from older experiments. We show that specific applications can cause deviations from expected behavior and provide analysts with a comprehensive set of behavioral rules for all permissible NTFS file operations. Finally, we analyze the effect and efficacy of 7 third party timestamp forgery tools as well as a custom PowerShell solution, and highlight forensic artifacts pointing at data falsification.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465481.3470016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Timeline forgery a widely employed technique in computer anti-forensics. Numerous freely available and easy-to-use tampering tools make it difficult for forensic scientists to collect legally valid evidence and reconstruct a credible timeline. At the same time, the large number of possible file operations performed by a genuine user can result in a wide variety of timestamp patterns that pose a challenge when reconstructing a chain of events, especially since application-specific discrepancies are often disregarded. In this paper, we investigate timestamp patterns resulting from common user operations in NTFS, providing a much needed update to the Windows time rules derived from older experiments. We show that specific applications can cause deviations from expected behavior and provide analysts with a comprehensive set of behavioral rules for all permissible NTFS file operations. Finally, we analyze the effect and efficacy of 7 third party timestamp forgery tools as well as a custom PowerShell solution, and highlight forensic artifacts pointing at data falsification.