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Let s review some basic software development concepts as they are viewed from the perspective of conventional software engineers. Even though this view is quite different from the one we get while reversing, it still makes sense to revisit these topics just to make sure they are fresh in your mind before entering into the discussion of low-level software. The following sections provide a quick overview of fundamental software engineering concepts such as program structure (procedures, objects, and the like), data management concepts (such as typical data structures, the role of variables, and so on), and basic control flow constructs. Finally, we briefly compare the most popular high-level programming languages and evaluate their reversibility. If you are a professional software developer and feel that these topics are perfectly clear to you, feel free to skip ahead to the section titled Low-Level Perspectives later in this chapter. In any case, please note that this is an ultra-condensed overview of material that could fill quite a few books. This section was not written as an introduction to software development such an introduction is beyond the scope of this book.

Olly is clearly ignoring the junk byte and using the conditional jump as a marker to the real code starting position, which is why it is providing an accurate listing. It is possible that Olly contains specific code for dealing with these kinds of tricks. Regardless, at this point it becomes clear that you can take advantage of Olly s use of the jump s target address to confuse it; if OllyDbg uses conditional jumps to mark the beginning of valid code sequences, you can just create a conditional jump that points to the beginning of the invalid sequence. The following code snippet demonstrates this idea:

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Table 14.5 Variance composition, single-stage dike, H = 12 m. (Christian, J. T., Ladd, C. C. and Baecher, G. B., 1994, Reliability Applied to Slope Stability Analysis, Journal of Geotechnical Engineering, ASCE, Vol. 120, No. 12, pp. 2180 2207, reproduced by permission of the American Society of Civil Engineers) Variance Parameter ll Dcrust Dtill cu (M) cu (L) F / xi 0.01 0.06 0.008 0.056 0.0137 0.0215 Systematic 3.0 1.0 0.04 1.0 7.6 24.9 Total 4.0 2.0 1.0 1.0 47.6 99.7 V [F ] = Spatial V [F ] = Vave [F ] at R = 0.2 = = = ( F / xi )2 Var(xi ) Systematic 0.0003 0.0036 nil 0.0031 0.0014 0.0115 Total 0.0004 0.0072 0.0001 0.0031 0.0089 0.0461

Keeping up with the Trends Finding the Perfect Solution Keeping it Simple Advice from Simon Hiscocks

_asm { mov eax, 2 cmp eax, 3 je Junk jne After Junk: _emit 0xf After: mov eax, [SomeVariable] push eax call AFunction }

This sequence is an improved implementation of the same approach. It is more likely to confuse recursive traversal disassemblers because they will have to randomly choose which of the two jumps to use as indicators of valid code. The reason why this is not trivial is that both codes are valid from the disassembler s perspective. This is a theoretical problem: the disassembler has no idea what constitutes valid code. The only measurement it has is whether it finds invalid opcodes, in which case a clever disassembler should probably consider the current starting address as invalid and look for an alternative one. Let s look at the listing Olly produces from the above code.

0.0199 0.0658 0.0459 0.0199 + 0.0092 = 0.0291 (1.453 1.0)/ 0.0291 2.66

00401031 00401036 00401039 0040103B 0040103D 00401043 00401048 0040104B 0040104D 0040104F . . . . > B8 02000000 83F8 03 74 02 75 01 0F8B 45F850E8 B9 FFFFFF68 DC60 40 00E8 0300 0000 MOV EAX,2 CMP EAX,3 JE SHORT compiler.0040103D JNZ SHORT compiler.0040103E JPO E8910888 MOV ECX,68FFFFFF FSUB QWORD PTR DS:[EAX+40] ADD AL,CH ADD EAX,DWORD PTR DS:[EAX] ADD BYTE PTR DS:[EAX],AL

10

The numbers in Tables 14.1 14.4 are the result of the rst three steps. Tables 14.5 and 14.6 show the results of the last three steps for two speci c cases. In these tables column 3 contains the systematic variances, and column 4 the total variances. The differences are the spatial variances. Similarly, column 5 contains the contribution of the systematic variances to the variance in F , and column 6 the total variances. Again the differences are the spatial contributions. Columns 5 and 6 are summed to obtain the systematic variance in F and the total variance in F . Their difference is the spatial variance, which is reduced as explained below. First, however, it should be noted that the procedure minimizes F over the range of failure surfaces and then calculates . It does not minimize directly. The minimum F surface and the minimum surface may not be identical (Lacasse and Nadim 1996). Oka and Wu (1990) observed that, in a situation with two different but likely modes of failure, reliability calculations based on one mode only can be seriously in error. This turned out not to be the situation here.

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