{"title":"源代码和二进制级漏洞检测和热补丁","authors":"Zhengzi Xu","doi":"10.1145/3324884.3418914","DOIUrl":null,"url":null,"abstract":"This paper presents a static vulnerability detection and patching framework at both source code and binary level. It automatically identifies and collects known vulnerability information to build the signature. It matches vulnerable functions with similar signatures and filters out the ones that have been patched in the target program. For the vulnerable functions, the framework tries to generate hot patches by learning from the source code.","PeriodicalId":106337,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Source Code and Binary Level Vulnerability Detection and Hot Patching\",\"authors\":\"Zhengzi Xu\",\"doi\":\"10.1145/3324884.3418914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a static vulnerability detection and patching framework at both source code and binary level. It automatically identifies and collects known vulnerability information to build the signature. It matches vulnerable functions with similar signatures and filters out the ones that have been patched in the target program. For the vulnerable functions, the framework tries to generate hot patches by learning from the source code.\",\"PeriodicalId\":106337,\"journal\":{\"name\":\"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)\",\"volume\":\"295 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3324884.3418914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3324884.3418914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Source Code and Binary Level Vulnerability Detection and Hot Patching
This paper presents a static vulnerability detection and patching framework at both source code and binary level. It automatically identifies and collects known vulnerability information to build the signature. It matches vulnerable functions with similar signatures and filters out the ones that have been patched in the target program. For the vulnerable functions, the framework tries to generate hot patches by learning from the source code.