{"title":"二进制文件中与编译器无关的函数检测","authors":"Dennis Andriesse, Asia Slowinska, H. Bos","doi":"10.1109/EuroSP.2017.11","DOIUrl":null,"url":null,"abstract":"We propose Nucleus, a novel function detection algorithm for binaries. In contrast to prior work, Nucleus is compiler-agnostic, and does not require any learning phase or signature information. Instead of scanning for signatures, Nucleus detects functions at the Control Flow Graph-level, making it inherently suitable for difficult cases such as non-contiguous or multi-entry functions. We evaluate Nucleus on a diverse set of 476 C and C ++ binaries, compiled with gcc, clang and Visual Studio for x86 and x64, at optimization levels O0–O3. We achieve consistently good performance, with a mean F-score of 0.95.","PeriodicalId":233564,"journal":{"name":"2017 IEEE European Symposium on Security and Privacy (EuroS&P)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"94","resultStr":"{\"title\":\"Compiler-Agnostic Function Detection in Binaries\",\"authors\":\"Dennis Andriesse, Asia Slowinska, H. Bos\",\"doi\":\"10.1109/EuroSP.2017.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose Nucleus, a novel function detection algorithm for binaries. In contrast to prior work, Nucleus is compiler-agnostic, and does not require any learning phase or signature information. Instead of scanning for signatures, Nucleus detects functions at the Control Flow Graph-level, making it inherently suitable for difficult cases such as non-contiguous or multi-entry functions. We evaluate Nucleus on a diverse set of 476 C and C ++ binaries, compiled with gcc, clang and Visual Studio for x86 and x64, at optimization levels O0–O3. We achieve consistently good performance, with a mean F-score of 0.95.\",\"PeriodicalId\":233564,\"journal\":{\"name\":\"2017 IEEE European Symposium on Security and Privacy (EuroS&P)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"94\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE European Symposium on Security and Privacy (EuroS&P)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EuroSP.2017.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE European Symposium on Security and Privacy (EuroS&P)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuroSP.2017.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose Nucleus, a novel function detection algorithm for binaries. In contrast to prior work, Nucleus is compiler-agnostic, and does not require any learning phase or signature information. Instead of scanning for signatures, Nucleus detects functions at the Control Flow Graph-level, making it inherently suitable for difficult cases such as non-contiguous or multi-entry functions. We evaluate Nucleus on a diverse set of 476 C and C ++ binaries, compiled with gcc, clang and Visual Studio for x86 and x64, at optimization levels O0–O3. We achieve consistently good performance, with a mean F-score of 0.95.
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