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PART I
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Software Security and Static Analysis
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The Software Security Problem Introduction to Static Analysis Static Analysis as Part of the Code Review Process Static Analysis Internals
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The Software Security Problem
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Success is foreseeing failure Henry Petroski
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e believe that the most effective way to improve software security is to study past security errors and prevent them from happening in the future In fact, that is the primary theme of this book In the following chapters, we look at a variety of programming tasks and examine the common security pitfalls associated with them Our philosophy is similar to that of Henry Petroski: To build a strong system, you have to understand how the system is likely to fail [Petroski, 1985] Mistakes are inevitable, but you have a measure of control over your mistakes Although you can t have precise knowledge of your next blunder, you can control the set of possibilities You can also control where, when, and by whom your mistake will be found This book focuses on nding mistakes that manifest themselves in source code In particular, it concentrates on mistakes that lead to security problems, which can be both tricky to uncover and costly to ignore Being aware of common pitfalls might sound like a good way to avoid falling prey to them, but awareness by itself often proves to be insufficient Children learn the spelling rule i before e except after c, but widespread knowledge of the rule does not prevent believe from being a commonly misspelled word Understanding security is one thing; applying your understanding in a complete and consistent fashion to meet your security goals is quite another For this reason, we advocate static analysis as a technique for finding common security errors in source code Throughout the book, we show how static analysis tools can be part of a strategy for getting security right The term static analysis refers to any process for assessing code without executing it Static analysis is powerful because it allows for the quick consideration of many possibilities A static analysis tool can explore a large number of what if scenarios without having to go through all the computations
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1 The Software Security Problem
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necessary to execute the code for all the scenarios Static analysis is particularly well suited to security because many security problems occur in corner cases and hard-to-reach states that can be dif cult to exercise by actually running the code Good static analysis tools provide a fast way to get a consistent and detailed evaluation of a body of code Advanced static analysis tools are not yet a part of the toolkit that most programmers use on a regular basis To explain why they should be, we begin by looking at why some commonly used approaches to security typically fail We discuss defensive programming, software security versus security features, and mistaking software quality efforts for software security efforts Of course, no single tool or technique will ever provide a complete solution to the security problem by itself We explain where static analysis ts into the big picture and then end the chapter by categorizing the kinds of mistakes that most often jeopardize software security
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Defensive Programming Is Not Enough
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The term defensive programming often comes up in introductory programming courses Although it is increasingly given a security connotation, historically it has referred only to the practice of coding with the mindset that errors are inevitable and that, sooner or later, something will go wrong and lead to unexpected conditions within the program Kernighan and Plauger call it writing the program so it can cope with small disasters [Kernighan and Plauger, 1981] Good defensive programming requires adding code to check one s assumptions The term defensive programming is apt, particularly in introductory programming courses, because often novice programmers are there own worst enemy; by and large, the defenses serve to reveal logic errors made by the programmer Good defensive programming makes bugs both easier to nd and easier to diagnose But defensive programming does not guarantee secure software (although the notion of expecting anomalies is very much a step in the right direction) When we talk about security, we assume the existence of an adversary someone who is intentionally trying to subvert the system Instead of trying to compensate for typical kinds of accidents (on the part of either the programmer or the user), software security is about creating programs that behave correctly even in the presence of malicious behavior
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