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Well, it appears that you ve landed in the right place! This is a classic ifelse sequence that displays one of two message boxes. If EAX == ESI the program shows the Great, You are ranked as Level-3 at Keygening now message, and if not it displays the You Have Entered A Wrong Serial, Please Try Again message. One thing we immediately attempt is to just patch the program so that it always acts as though EAX == ESI, and see if that gets us our success message. We do this by double clicking the JNZ instruction, which brings us to the Assemble dialog, which is shown in Figure 11.7. The Assemble dialog allows you to modify code in the program by just typing the desired assembly language instructions. The Fill with NOPs option will add NOPs if the new instruction is shorter that the old one. This is an important point working with machine code is not like a using word processor where you can insert and delete words and just shift all the materials that follow. Moving machine code, even by 1 byte, is a fairly complicated task because many references in assembly language are relative and moving code would invalidate such relative references. Olly doesn t even attempt that. If your instruction is shorter than the one it replaces Olly will add NOPs. If it s longer, the instruction that follows in the original code will be overwritten. In

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When I was a kid, my first programming attempts were usually long chunks of BASIC code that just ran sequentially and contained the occasional goto commands that would go back and forth between different sections of the program. That was before I had discovered the miracle of program structure. Program structure is the thing that makes software, an inherently large and complex thing, manageable by humans. We break the monster into small chunks where each chunk represents a unit in the program in order to conveniently create a mental image of the program in our minds. The same process takes place during reverse engineering. Reversers must try and reconstruct this map of the various components that together make up a program. Unfortunately, that is not always easy. The problem is that machines don t really need program structure as much as we do. We humans can t deal with the concept of working on and understanding one big complicated thing objects or concepts need to be broken up into manageable chunks. These chunks are good for dividing the work among various people and also for creating a mental division of the work within one s mind. This is really a generic concept about human thinking when faced with large tasks we re naturally inclined to try to break them down into a bunch of smaller tasks that together make up the whole. Machines on the other hand often have a conflicting need for eliminating some of these structural elements. For example, think of how the process of compiling and linking a program eliminates program structure: individual

source files and libraries are all linked into a single executable, many function boundaries are eliminated through inlining and are simply pasted into the code that calls them The machine is eliminating redundant structural details that are not needed for efficiently running the code All of these transformations affect the reversing process and make it somewhat more challenging I will be dealing with the process of reconstructing the structure of a program in the reversing projects throughout this book How do software developers break down software into manageable chunks The general idea is to view the program as a set of separate black boxes that are responsible for very specific and (hopefully) accurately defined tasks The idea is that someone designs and implements a black box, tests it and confirms that it works, and then integrates it with other components in the system.

in which k are independent random angles uniformly distributed between 0 and 2 , k = (k 1/2) , and k = k + The range of frequencies is [ , + ], and is /M The term is a small random frequency added to prevent periodicities Mantoglu and Wilson give examples showing that, for a correlation distance b 1 , adequate accuracy results from using = 40b and M = 50 to 100 It should be noted that the points N at which the random eld is simulated are not necessarily the centroids of simple elements They could be Gauss integration points for more complicated elements Therefore, this approach could be used in conjunction with sophisticated elements incorporating higher order expansions or coupled behavior The turning bands method has found its greatest application in the analysis of water resources and ground water hydrology Gui et al.

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