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Reversing Conditions In order to seriously alter the malware code, a metamorphic engine can actually reverse some of the conditional statements used in the program Reversing a condition means (for example) that instead of using a statement that checks whether two operands are equal, you check whether they are unequal (this is routinely done by compilers in the compilation process; see Appendix A) This results in a significant rearrangement of the program s code because it forces the metamorphic engine to relocate conditional blocks within a single function The idea is that even if the antivirus program employs some kind of high-level scanning of the program in anticipation of a metamorphic engine, it would still have a hard time identifying the program Garbage Insertion It is possible to randomly insert garbage instructions that manipulate irrelevant data throughout the program in order to further confuse antivirus scanners.

Example 17.5 Estimated Settlement with Maximum Past Pressure Duncan (2000) describes a problem of estimating the settlement of a soft soil under a surface load. Figure 17.13 shows the geometry of the problem and the means and standard deviations of the consolidation parameters. Figure 17.14 shows the estimated initial stress conditions and the maximum past pressures. It is assumed that the uncertain variables are Normally distributed. Dividing the consolidating layer into six layers, each 5 ft. thick, and using the mean values of the parameters gives an estimated nal settlement of 1.024 ft. The FOSM method, as used by the U. S. Army Corps of Engineers with the increment in each uncertain variable taken as its standard deviation, yields 0.254 ft. for the standard deviation of the nal settlement. Corresponding estimates calculated by the Rosenblueth point-estimate method are 1.013 ft. and 0.256 ft. In these and subsequent calculations the

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This also adds a certain amount of.

the lightest, stiffest and smoothest hull; the best spars, sails and foils for the prevailing conditions (these may be relative to your bodyweight); and easy-to-operate control systems in an effective layout.

6

The risk assessment consisted of ve steps: 1. Identify the factors in uencing seismic performance of the storage tanks: frequency of earthquakes, variability of soil properties, behavior of the tanks during earthquakes, performance of the foundation soils during earthquakes, performance of the re walls and revetments during earthquakes, performance of other site facilities designed to prevent spills, and so forth. 2. Analyze earthquake source models to establish seismic hazard at the site and establish levels of ground shaking and their respective probabilities of being exceeded. 3. Develop an event tree for a typical patio; the event tree is used to illustrate how various facilities in a tank patio interact to lead to system failure. 4. Build a numerical (Monte Carlo) simulation of the entire site to analyze random behavior of each key component; run the model through many realizations to develop a statistical sample of the behavior of the site and facility. 5. Compare the predicted probability of an off-site spill and the corresponding consequences to other risk; use the comparison and the annual expected monetary loss to judge the acceptability of the risk faced at this site. The seismic hazard at the site was developed using methods similar to those based on Cornell s (1968) work. The outcome of this hazard assessment is shown in Figure 22.17 as a complementary cumulative distribution (CCDF) of peak surface ground acceleration. For the numerical computation, this curve was approximated by the four discrete levels shown in Table 22.2.

value 0x8003 as its algorithm ID, while this function uses 0x8004, which identifies the CALG_SHA algorithm. SHA is another hashing algorithm that has similar properties to MD5, with the difference that an SHA hash is 160 bits long, as opposed to MD5 hashes which are 128 bits long. You might notice that 160 bits are exactly 20 bytes, which is the length of data being hashed in Listing 6.4. Coincidence You ll soon find out. . . . The next sequence calls CryptHashData again, but not before some processing is performed on some data block. If you place a breakpoint on this function and restart the program, you can easily see which data it is that is being processed: It is the password text, which in this case equals 6666666665. Let s take a look at this processing sequence.

10 1

00402335 LEA ESI,DS:[EAX+1] 00402338 MOV CL,DS:[EAX] 0040233A ADD EAX,1 0040233D TEST CL,CL 0040233F JNZ SHORT cryptex.00402338

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