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Note In this example, the attack code arrives as a query string parameter in the URL. But please don t think that form parameters (i.e., POST parameters) are any safer an attacker could set up a web page that contains a <form> that sends attack code to your site as a POST request, and then persuade victims to visit that page.

If you go shopping at any electronic super store, you will quickly notice that computers which support two or more CPUs (aka, cores) are commonplace. Not only are they commonplace, they are quite cost effective; dual core laptops can be purchased for less than $500.00 USD. When a machine supports multiple CPUs, it has the ability to execute threads in a parallel fashion, which can significantly improve the runtime performance of applications. Traditionally speaking, if you wanted to build a .NET application which can distribute its workload across multiple cores, you needed to be quite skilled in multithreaded programming techniques (using many of the topics seen in this chapter). While this was certainly possible, doing so was tedious and error prone, given the inherit complexities of building multithreaded applications. With the release of .NET 4.0, you are provided with a brand new parallel programming library. Using the types of System.Threading.Tasks, you can build fine-grained, scalable parallel code without having

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to work directly with threads or the thread pool. Furthermore, when you do so, you can make use of strongly typed LINQ queries (via parallel LINQ, or PLINQ) to divide up your workload.

#footer { clear:both; margin:.5em 0 0; padding:.5em; background-color:#bbb; } .first-para { float:left; } .second-para { float:right; } Having written the code knowing how it should look when rendered, let s now test it in Firefox and see how close we are (Figure 14-14).

The underlying problem is that the application echoes back arbitrary input as raw HTML, and raw HTML can contain executable scripts. So here s the key principle of defense against XSS: never output user-supplied data without encoding it. Encoding user-supplied data means translating certain characters to their HTML entity equivalents (e.g., translating <b>"Great"</b> to <b>"Great"</b>), which ensures that the browser will treat that string as literal text, and will not act upon any markup, including scripts, that it may contain. This defense is equally effective against both persistent and passive XSS. Plus, it s easy to do. To close the preceding vulnerability, I switched to using the .NET 4 autoencoding syntax: <a href="<%: Model.ReturnUrl %>">Continue shopping</a> For details about how this syntax works, see 11. If you re running on .NET 3.5, the equivalent defense is to HTML-encode the value manually, as follows: <a href="<%= Html.Encode(Model.ReturnUrl) %>">Continue shopping</a> That blocks the attack! But you must remember to use <%: ... %> or Html.Encode() every time you output user-supplied data. A single omission puts the whole domain at risk. For .NET 4 developers this is relatively easy because you can get into the habit of using <%: ... %> everywhere, and never use <%= ... %>. For .NET 3.5 developers, it s a matter of discipline to remember to encode user-supplied data but not the output of HTML helpers (as these already take care of encoding any parameter values you pass to them).

Collectively speaking, the types of System.Threading.Tasks (as well as some related types in System.Threading) are referred to as the Task Parallel Library, or TPL. The TPL will automatically distribute your application s workload across available CPUs dynamically using the CLR thread pool. The TPL handles the partitioning of the work, thread scheduling, state management, and other low-level details. The end result is that you can maximize the performance of your .NET applications, while being shielded from many of complexities of directly working with threads. Figure 19-3 shows the members of this new .NET 4.0 namespace.

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