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This listing is generally correct, but SoftICE is still confused by our 0F byte and is showing a JNP instruction in 40101F, which is where our 0F byte is at. This is inconsistent because JNP is a long instruction (it should be 6 bytes), and yet SoftICE is showing the correct MOV instruction right after it, at 401020, as though the JNP is 1 byte long! This almost looks like a disassembler bug, but it hardly matters considering that the real instructions starting at 401020 are all deciphered correctly.

Figure 18.5 Empirical data for the Gates method of predicting the axial capacity of driven piles (Stenersen 2001).

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The preceding technique can be somewhat effective in annoying and confusing reversers, but it is not entirely effective because it doesn t fool more clever disassemblers such as IDA pro or even smart debuggers such as OllyDbg. Let s proceed to examine techniques that would also fool recursive traversal disassemblers. When you consider a recursive traversal disassembler, you can see that in order to confuse it into incorrectly disassembling data you ll need to feed it an opaque predicate. Opaque predicates are essentially false branches, where the branch appears to be conditional, but is essentially unconditional. As with any branch, the code is split into two paths. One code path leads to real code, and the other to junk. Figure 10.1 illustrates this concept where the condition is never true. Figure 10.2 illustrates the reverse condition, in which the condition is always true.

0.35 0.3 80.00% 0.25 Frequency 0.2 0.15 0.1 0.05 10.00% 0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 2.25 2.5 2.75 3 3.25 3.5 3.75 4 4.25 More .00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 100.00% 90.00%

of hours after it starts. Normal sea breeze is just (perhaps) 15 knots left of 90 degrees to the coast (roughly southerly on a south coast). It will then clock around 10 degrees an hour until it dies off an hour or so before dusk. Unfortunately, a gradient breeze can stop a sea breeze, so the sooner this dies the better, as it will oppose the sea breeze either at the top or the bottom of the circulation. Ideally, on each race day, the coach will go out and monitor the wind in terms of speed, direction, frequency of gusts/lulls and current tidal situation, as well as looking out for the start of a sea breeze. However, you may have to be your own coach! Get out early and, if at all possible, make some notes. (Use Wet Notes, or even write on the boat itself!)

1 == 2

2 == 2

Figure 18.6 Empirical calibration data for the PDLT energy method of predicting the axial capacity of driven piles (Stenersen 2001).

10

Unfortunately, different disassemblers produce different output for these sequences. Consider the following sequence for example:

Consider the data of Figure 18.5 from Stenersen (Stenersen 2001), which show empirical comparisons of observed versus predicted pile capacity using the Gates modi cation of the Engineering-News Record formula for predicting the capacity of driven piles (Bowles 1968). The abscissa shows the ratio of observed to predicted pile capacity at failure (method bias), with failure de ned by Davisson s criterion. The abscissa shows number of observations. As can be seen, the data are more or less logNormally distributed, with a mean bias about 1.8 and a coef cient of variation about 0.48. The Gates formula is strongly negatively biased, on overage under-predicting the actual resistance of a single pile by almost a factor of 2. In contrast, the data of Figure 18.6 show empirical comparisons of observed versus predicted pile capacity using the PDLT Energy method. Here, the mean bias is 0.92, and the coef cient of variation of the bias is 0.46. The PDLT Energy method is close to unbiased, although it also has a large coef cient of variation. Note that since the coef cient of variation is the ratio of standard deviation to mean, the standard deviation of the bias for the Gates method is about half that for the PDLT Energy method. Table 18.10 shows recommended resistance factors based on AASHTO (1997) and Barker et al. (1991) for a variety of methods for predicting ultimate axial geotechnical

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

Advice from Paul Goodison:

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