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Some bug nding tools use the same sorts of algorithms used by property checking tools, but bug nding tools generally focus on producing a low number of false positives even if that means a higher number of false negatives An ideal bug nding tool is sound with respect to a counterexample In other words, when it generates a bug report, the accompanying counterexample always represents a feasible sequence of events in the program (Tools that are sound with respect to a counterexample are sometimes called complete in academic circles) We think FindBugs does an excellent job of identifying bugs in Java code Coverity makes a bug finder for C and C++ (http://wwwcoveritycom) Microsoft s Visual Studio 2005 includes the \analyze option (sometimes called Prefast) that checks for common coding errors in C and C++ Klocwork (http://wwwklocworkcom) offers a combination program understanding and bug finding static analysis tool that enables graphical exploration of large programs Security Review Security-focused static analysis tools use many of the same techniques found in other tools, but their more focused goal (identifying security problems) means that they apply these techniques differently The earliest security tools, ITS4 [Viega et al, 2000], RATS [RATS, 2001], and Flaw nder [Wheeler, 2001], were little more than a glori ed grep; for the most part, they scanned code looking for calls to functions such as strcpy() that are easy to misuse and should be inspected as part of a manual source code review In this sense, they were perhaps most closely related to style checkers the things they pointed out would not necessarily cause security problems, but they were indicative of a heightened reason for security concern Time after time, these tools have been indicted for having a high rate of false positives because people tried to interpret the tool output as a list of bugs rather than as an aid for use during code review Modern security tools are more often a hybrid of property checkers and bug finders Many security properties can be succinctly expressed as program properties For a property checker, searching for potential buffer overflow vulnerabilities could be a matter of checking the property the program does not access an address outside the bounds of allocated memory From the bug finding domain, security tools adopt the notion that developers often continue to reinvent the same insecure method of solving a problem, which can be described as an insecure programming idiom.



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As we noted earlier, even though bug nding techniques sometimes prove useful, security tools generally cannot inherit the bug nding tools tendency to minimize false positives at the expense of allowing false negatives Security tools tend to err on the side of caution and point out bits of code that should be subject to manual review even if the tool cannot prove that they represent exploitable vulnerabilities This means that the output from a security tool still requires human review and is best applied as part of a code review process (We discuss the process for applying security tools in 3, Static Analysis as Part of Code Review ) Even so, the better a security tool is, the better job it will do at minimizing dumb false positives without allowing false negatives to creep in Example 211 illustrates this point with two calls to strcpy() Using strcpy() is simply not a good idea, but the rst call cannot result in a buffer over ow; the second call will result in an over ow if argv[0] points to a very long string (The value of argv[0] is usually, but not always, the name of the program2) A good security tool places much more emphasis on the second call because it represents more than just a bad practice; it is potentially exploitable





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Privacy is the prevention of eavesdropping on the conversation Is there any inherent privacy in RMI An RMI transmission is encoded by at least all the protocol layers shown in Figure 161

similarly to service behaviors, but control the endpoints created on the client in duplex communication To understand how behaviors are used, it s helpful to consider how the on the client and runtime is initialized This is done by the on the server Both classes perform similar functions: by 1 Accept a NET type as input and read its attributed information or les On the 2 Load con guration from is primarily looking at binding information; client, is primarily looking at contract and bindon the server, ing information 3 Build the runtime environment structure, 4 Start communication On the client, channel to connect to the service; on the server, the channel and listens for messages uses the opens

Example 211 A C program with two calls to strcpy() A good security tool will categorize the rst call as safe (though perhaps undesirable) and the second call as dangerous

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int main(int argc, char* argv[]) { char buf1[1024]; char buf2[1024]; char* shortString = "a short string"; strcpy(buf1, shortString); /* safe use of strcpy */ strcpy(buf2, argv[0]); /* dangerous use of strcpy */

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In step 1, behavior information is de ned as attributes in code, as in In step 2, behavior information is de ned in con guration, as in < in an le During step 3, the and classes build the WCF runtime and are responsible for inserting the behaviors found in steps 1 and 2 into the runtime Also in step 3, behaviors can be manually added to the service model, as in In addition to initialization, behaviors can also operate on data before it is transmitted or after it is received On the client, behaviors can be used to perform three functions: Parameter Inspection Inspect and/or change data in its NET representation, before it has been converted to XML Message Formatting Inspect and/or change data during its conversion between NET types to XML Message Inspection Inspect and/or change data in its XML representation, before it has been converted to NET types

Fortify Software (http://wwwfortifycom) and Ounce Labs (http://wwwouncelabscom) make static analysis tools that speci cally

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