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Finding the Right Stuff Static analysis tools must be armed with the right set of defects to search for What the right set consists of depends entirely upon the purpose of the software being analyzed Clients fail differently than servers Operating systems fail differently than desktop applications The makers of a static analysis tool must somehow take this context into account With research tools, the most common approach is to build a tool that targets only a small number of scenarios Commercial tools sometimes ask the user to select the scenario at hand to make decisions about what to report Even with a limited purview, the most valuable things to search for are often speci c to the particular piece of software being evaluated Finding these defects requires the tool to be extensible; users must be able to add their own custom rules For example, detecting locations where private data are made public or otherwise mismanaged by a program requires adding custom rules that tell the analysis tool which pieces of data are considered private Just as a good program model requires a thorough characterization of the behavior of libraries and system interfaces, detecting defects requires a thorough set of rules that de ne where and under what circumstances the defects can occur The size of the rule set is the rst and most obvious means of comparing the capabilities of static analysis tools [McGraw, 2006], but counting the number of rules that a tool has does not tell the whole story, especially if a single rule can be applied in a variety of circumstances or can contain wildcards that match against entire families of functions Comparing static analysis tools based on the size of their rule sets is like comparing operating systems based on the number of lines of source code they are built from The best way to compare static analysis tools is by using them to analyze the same code and comparing the results, but choosing the right code for comparing tools is no small problem in and of itself A number of attempts at creating static analysis benchmarks have arisen in the last few years: Benjamin Livshits has put together two benchmarks for static analysis tools SecuriBench (http://suifstanfordedu/~livshits/securibench/) is a collection of open source Web-based Java programs that contain known security defects SecuriBench Micro (http://suifstanfordedu/~livshits/ work/securibench-micro/) is a set of small hand-crafted Java programs that are intentionally written to stress different aspects of a static analysis tool Zitser, Lippman, and Leek have assembled a small collection of vulnerable programs derived from real-world vulnerable programs for the.



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int main(int argc, char** argv) { uid_t caller_uid = getuid(); uid_t owner_uid = geteuid(); int sigmask; sigset_t maskall, saved; sigfillset(&maskall); /* Drop privileges right up front, but we'll need them back in a little bit, so use effective id */ if (setresuid(-1, caller_uid, owner_uid) != 0){ exit(-1); } /* Privileges not necessary or desirable at this point */ processCommandLine(argc, argv); /* disable signal handling */ if (sigprocmask(SIG_SETMASK, &maskall, &saved) != 0) { exit(-1); } /* Regain privileges */ if (setresuid(-1, owner_uid, caller_uid) != 0) { sigprocmask(sigmask); exit(-1); } openSocket(88); /* requires root */ /* Drop privileges for good */ if (setresuid(caller_uid, caller_uid, caller_uid) != 0) { sigprocmask(sigmask); exit(-1); } /* re-enable signals */ if (sigprocmask(SIG_SETMASK, &saved, NULL) != 0) { exit(-1); } doWork(); }

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