Improving Software Security with a C Pointer Analysis

This paper presents a context-sensitive, inclusion-based, field-sensitive points-to analysis for C and uses the analysis to detect and prevent security vulnerabilities in programs. In addition to a conservative analysis, we propose an optimistic analysis that assumes a more restricted C semantics that reflects common C usage to increase the precision of the analysis.

This paper uses the proposed pointer alias analyses to infer the types of variables in C programs and shows that most C variables are used in a manner consistent with their declared types. We show that pointer analysis can be used to reduce the overhead of a dynamic string-buffer overflow detector by 30% to 100% among applications with significant overheads. Finally, using pointer analysis, we statically found six format string vulnerabilities in two of the 12 programs we analyzed.



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