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When a security researcher discovers a new variety of attack, static analysis tools make it easy to recheck a large body of code to see where the new attack might succeed Some security defects exist in software for years before they are discovered, which makes the ability to review legacy code for newly discovered types of defects invaluable The most common complaint leveled against static analysis tools that target security is that they produce too much noise Speci cally, they produce too many false positives, also known as false alarms In this context, a false positive is a problem reported in a program when no problem actually exists A large number of false positives can cause real dif culties Not only does wading through a long list of false positives feel a little like serving latrine duty, but a programmer who has to look through a long list of false positives might overlook important results that are buried in the list False positives are certainly undesirable, but from a security perspective, false negatives are much worse With a false negative, a problem exists in the program, but the tool does not report it The penalty for a false positive is the amount of time wasted while reviewing the result The penalty for a false negative is far greater Not only do you pay the price associated with having a vulnerability in your code, but you live with a false sense of security stemming from the fact that the tool made it appear that everything was okay All static analysis tools are guaranteed to produce some false positives or some false negatives Most produce both We discuss the reasons why later in this chapter The balance a tool strikes between false positives and false negatives is often indicative of the purpose of the tool The right balance is quite different for static analysis tools that are meant to detect garden-variety bugs and static analysis tools that specifically target security-relevant defects The cost of missing a garden-variety bug is, relatively speaking, small multiple techniques and processes can be applied to make sure that the most important bugs are caught For this reason, code quality tools usually attempt to produce a low number of false positives and are more willing to accept false negatives Security is a different story The penalty for overlooked security bugs is high, so security tools usually produce more false positives to minimize false negatives For a static analysis tool to catch a defect, the defect must be visible in the code This might seem like an obvious point, but it is important to understand that architectural risk analysis is a necessary compliment to static analysis Although some elements of a design have an explicit representation.



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I T T O O K T H E efforts of many people to deliver this book We started this more than two years ago as Indigo entered its rst public beta Between then and now, we built our samples, tested and revised them with each update, and did it one last time with NET 35 and Visual Studio 2008 In addition to coding, we wrote the book that you re now holding in your hands But that s the fun part in working with such rapidly changing technology This book could not have been possible without great support from the WCF product team and from other really smart people at Microsoft Each contributed by reviewing our words and code and setting us straight when we veered off course We d like to thank the following people for their time, thoughts, and patience: Wenlong Dong, Bill Evjen, Steve Maine, Doug Purdy, Ravi Rao, Yasser Shohoud, and David Stamp i We d also like to thank the technical reviewers, who read, commented, argued, and ultimately made this a much better book We ve been fortunate to have some of the top WCF experts on our side So to our reviewers, please accept this note of gratitude for your help: Nicholas Allen, Jeff Barnes, Ron Landers, Sowmy Srinivasan, Tom Fuller, and Willy-Peter Schaub We d like to offer a special thanks to John Justice, who helped navigate the product team to nd our reviewers Also special thanks to Thom Robbins, who taught us how to write in plain English





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in the program (a hard-coded protocol identi er, for example), in many cases, it is hard to derive the design given only the implementation

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