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To incorporate static analysis into the existing development process, an organization needs a tool adoption plan The plan should lay out who will run the tool, when they ll run it, and what will happen to the results Static analysis tools are process agnostic, but the path to tool adoption is not Take style and culture into account as you develop an adoption plan By tracking and measuring the security activities adopted in the development process, an organization can begin to sharpen its software security focus The data produced by source code analysis tools can be useful for this purpose, giving insight into the kinds of problems present in the code, whether code review is taking place, and whether the results of the review are being acted upon in a timely fashion



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his chapter is about what makes static analysis tools tick We look at the internal workings of advanced static analysis tools, including data structures, analysis techniques, rules, and approaches to reporting results Our aim is to explain enough about what goes into a static analysis tool that you can derive maximum bene t from the tools you use For readers interested in creating their own tools, we hope to lay enough groundwork to provide a reasonable starting point Regardless of the analysis techniques used, all static analysis tools that target security function in roughly the same way, as shown in Figure 41 They all accept code, build a model that represents the program, analyze that model in combination with a body of security knowledge, and nish by presenting their results back to the user This chapter walks through the process and takes a closer look at each step





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The Java Security Model is specified in the JDK documentation, and described in Gong, Inside Java 2 Platform Security

For a summary of each listener s settings, expand the Listeners node in the Con guration pane and click a listener This displays the option summary for each listener, shown in Figure 96

if ( fgets ( buf , sizeof(buf) stdin) == buf ) { strcpy ( othr , buf ); system ( othr );

Figure 41 A block diagram for a generic static analysis security tool At a high level, almost all static analysis security tools work this way

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We ve described how to enable various options for tracing and message logging, but how will the output of those diagnostic tools be put to effective use Even over a brief period of time, tracing and message logging can emit large amounts of data WCF works with a powerful tool for analyzing diagnostics logs called the Service Trace Viewer This tool can be used to import both trace and message log les from one or more components of a distributed application After installing the Windows SDK, you can nd the Service Trace Viewer via the All Programs, Microsoft Windows SDK, Tools menu

The Java Security Model constrains the actions permitted to Java code according to its source where the code came from The Security Model is activated by installing a "security manager", either an instance of javalangSecurityManager or a derivation of it; for example:

The rst thing a static analysis tool needs to do is transform the code to be analyzed into a program model, a set of data structures that represent the code As you would expect, the model a tool creates is closely linked to the kind of analysis it performs, but generally static analysis tools borrow a lot from the compiler world In fact, many static analysis techniques were developed by researchers working on compilers and compiler optimization problems If you are interested in an in-depth look at compilers, we recommend both the classic textbook Compilers: Principles, Techniques, and Tools (often called the dragon book ), by Aho, Sethi, and Ullman [Aho et al, 2006], and Appel s Modern Compiler Implementation series (often called the tiger books ) [Appel, 1998] We now take a brief tour of the most important techniques and data structures that compilers and static analysis tools share Lexical Analysis Tools that operate on source code begin by transforming the code into a series of tokens, discarding unimportant features of the program text such as whitespace or comments along the way The creation of the token stream is called lexical analysis Lexing rules often use regular expressions to identify tokens Example 41 gives a simple set of lexing rules that could be used to process the following C program fragment:

if (ret) // probably true mat[x][y] = END_VAL;

In this section, we have enabled tracing and message logging for both the client and service projects To follow along on your computer, use the Service Con guration Editor described earlier to enable tracing and message logging in both projects, selecting Information verbosity levels and defaults for all other settings After it is con gured, run the application to generate client and service log les

This code produces the following sequence of tokens:

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