Dynamic Taint Analysis for Automatic Detection, Analysis, and分析自动检测动态污点分析和.pptxVIP

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2017-06-15 发布于上海
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Dynamic Taint Analysis for Automatic Detection, Analysis, and分析自动检测动态污点分析和.pptx

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Dynamic Taint Analysis for Automatic Detection, Analysis,and Signature Generation of Exploits on Commodity Software Authors: James Newsome, Dawn Song Presenters: Sheikh M Qumruzzaman Khaled M Al-Naami Welcome and Introduction Overview Dynamic Taint Analysis TaintCheck TaintSeed TaintTracker TaintAssert Exploit Analyzer Security Analysis of TaintCheck Evaluation and Performance Automatic Signature Generation Conclusion Overview Worms exploit software vulnerabilities. Buffer Overflow. Format String. Dangling Pointers. SQL Injection. CodeRed and Slammer exploit vulnerabilities and can compromise hundreds of thousands of hosts within hours or minutes. Slammer The geographical spread of Slammer in the 30 minutes after its release. Source: /xpls/abs_all.jsp?arnumber=1219056tag=1 CodeRed Code Red’s probe rate during its re-emergence on 1 August, 2001 Source: /xpls/abs_all.jsp?arnumber=1219056tag=1 WHAT DO WE NEED? An automatic detect and defense system. Automatic development of attack signatures. In this paper authors proposed new technique ‘Dynamic Taint Analysis’ and showed how it can be used to detect and analyze software exploits ATTACK DETECTORS Coarse grained detectors: Detect anomalous behavior such as scanning and do not provide detailed information about vulnerability and how it exploited. Fine grained detectors: Detect attack on a program vulnerability, and provide detailed information about it. Several approaches for fine grained detectors. But most of them are not dynamic. Dynamic Taint Analysis Tainted Data: Data from un-trusted sources. Keep track of tainted data. Monitor program execution to track how tainted attributes propagate Check when tainted data is used in dangerous ways TaintCheck – An automatic dynamic taint analysis tool. TaintCheck Doesn’t require source code/special compilation. Reliably detects most overwrite attacks. No known false positives. Enables automatic semantic analysis based signature generation. Design and Impleme