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One caveat to using a signature-based approach is that the entire transaction state must be signed not just part of it (such as the price). Otherwise, an attacker can conduct (part of) a legitimate transaction to coerce the server into generating a signature for her, and she can then conduct an illegitimate transaction by pasting in parameters of her choice that are not included in the signature. For instance, if only the price is signed, the attacker can go through the order process having selected a cheap item to obtain a signature on the price, and then submit that signature and price in an HTTP request to purchase a more expensive item.

for (int i = 0; i < 100; ++i) { // All threads using the same StringBuilder - BAD! sb.AppendFormat("{0}: {1}", name, i); sb.AppendLine(); }

By the way, you ll have noticed that this code calls Join on both Thread objects. The Join method blocks until the thread has finished this code needs to do that because it prints the output only once the threads are done. This is a simple example of coordinating operations across multiple threads. However, it s not sufficient to avoid problems here. Looking at the output, it s clear that all is not well. Here are the first few lines, running on a quad-core system:

Main: One: Two: 00 Main: 1 2 MainTwo: 3 Main: 1 2 2 Two: 3One: Two: 4 Two: One: 6Two: One: 7 One: 8 : One: 9

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That s a whole lot more chaotic than the previous examples, which merely scrambled the order of the lines, and lost the odd increment. The reason this has gone more obviously wrong is that with the earlier examples, our attempt to observe the system profoundly changed its behavior. (That happens a lot with multithreaded code.) The calls to Console.WriteLine were imposing some order on the system, because the .NET Framework was forcing the threads to take it in turns when printing their output that s why we don t get lines mixed up with one another. But Example 16-4 does all of its work in memory using a StringBuilder, and since it calls Console.WriteLine just once when it s done, to print the results, nothing is forcing things to happen in any particular order, and so we can see the chaos in full effect.

In previous sections, the server embedded session-ids and state in hidden form fields. In order for that state to be relayed back to the server on each subsequent HTTP request, the form field parameters and values need to be included in URLs. In the previous example, we used the GET method with hidden form fields, but we could have just as easily used links as follows: <A HREF=/submit_order session-id=3927a837e947df203784d309c8372b8e> Pay Now</A> or <A HREF=/submit_order session-id=3927a837e947df203784d309c8372b8e> Cancel Order</A> Using hidden form fields can be an awkward way to carry state from one step in a web transaction to the next. Consider the case in which you use a database at the server to maintain the state of the user s transaction. After the user enters the number of pizzas he would like to order, along with his credit card number and expiration date, he receives an order confirmation page. The URL in the address bar of the browser for the confirmation page might read as follows: https://www.deliver-me-pizza.com/confirm_order session-id=3927a837e947df203784d309c8372b8e If a user, Alice, copies the preceding address and pastes it into an e-mail to her friend Meg asking, Hey Meg, should we order this pizza then Meg would be able to click yes and continue the transaction without Alice s consent nevertheless, the pizza would be charged to Alice s credit card. Depending upon how the web site was implemented, it could also be possible for Meg to change the address to which the pizza is sent to be her own address. Meg could then respond to Alice, saying No, I don t think we should order the pizza. Maybe next time. Meg would get to eat pizza that was ordered using Alice s credit card. Of course, Alice s credit

There s another reason Console.WriteLine is likely to have a significant effect on behavior: it s relatively slow. The actual work being done by the examples so far is trivial incrementing counters takes very little time, and concatenating strings is more complex but still pretty fast. Writing messages out to the screen is orders of magnitude slower. (The same would apply if you were writing messages to a logfile or the debugger.) So our previous examples were spending almost all of their time inside the code added to observe the code s behavior, and almost no time executing the behavior we were hoping to observe. This sort of problem makes multithreaded code remarkably resistant to debugging it is far more sensitive to the observer s paradox than other kinds of code. Generally speaking, as soon as you try to examine a threading bug, the bug goes away. (It comes back as soon as you stop looking, of course. Plenty of systems have gone live with debugging code compiled in because the debugging code made certain problems go away. Don t rely on that threading problems that appear to go away when you haven t really fixed them are really just hiding.)

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