ISCAS OpenIR  > 2010软件所会议论文
automatically generating patch in binary programs using attribute-based taint analysis
Chen Kai; Lian Yifeng; Zhang Yingjun
2010
Conference Name2010 International Conference on Information and Communications Security, ICICS 2010
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages367-382
Conference Date40878
Conference PlaceBarcelona, Spain
Indexed Typeei
Publish PlaceGermany
ISSN3029743
ISBN3642176496
Department(1) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) State Key Laboratory of Information Security, Graduate School, Chinese Academy of Sciences, Beijing 100049, China; (3) National Engineering Research Center for Information Security, Beijing 100190, China
English AbstractVulnerabilities in software threaten safety of hosts. Generating patches could overcome this problem. Patches are usually generated with human intervention, which is very time-consuming and needs a lot of experience. A few heuristic methods can generate patches automatically. But they usually have high false negative and/or false positive rate. We proposed a novel solution and implemented a real system called PatchGen that can automatically generate patches for vulnerabilities. PatchGen innovatively combines several techniques: (1) It can automatically generate patches for Windows x86 binaries without any need for source code, debugging information or human intervention. (2) Attribute-based taint analysis method (ATAM) is proposed to find attack point and overflow point with no need to record or analyze program execution traces, which saves both analysis time and memory. (3) PatchGen automatically tunes the candidate position to find the most suitable position to patch. We made several experiments on PatchGen. The results show that PatchGen can successfully generate patches for buffer overflow vulnerabilities in several minutes. The running overhead of the patched applications is less than 1% in average. © 2010 Springer-Verlag.
KeywordHeuristic Methods Security Of Data
SponsorshipSpanish Government; Advanced Research on Information Security and Privacy line; ARES CONSOLIDER CSD2007-00004; Scytl Secure Electronic Voting; Ministerio de Ciencia e Innovacion; Universitat Politecnica de Catalunya - Department of Telematics
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8676
Collection2010软件所会议论文
Recommended Citation
GB/T 7714
Chen Kai,Lian Yifeng,Zhang Yingjun. automatically generating patch in binary programs using attribute-based taint analysis[C]. Germany,2010:367-382.
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