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reliability calibration approach, if suf cient data are available from which to estimate method biases ( ) and coef cients of variation.

This approach is similar to the previous one, except that here you enable the trap flag in the current process and check whether an exception is raised or not. If an exception is not raised, you can assume that a debugger has swallowed the exception for us, and that the program is being traced. The beauty of this approach is that it detects every debugger, user mode or kernel mode, because they all use the trap flag for tracing a program. The following is a sample implementation of this technique. Again, the code is written in C for the Microsoft C/C++ compiler.

BOOL bExceptionHit = FALSE; __try { _asm { pushfd or dword ptr [esp], 0x100 popfd nop } } __except(EXCEPTION_EXECUTE_HANDLER) { bExceptionHit = TRUE; // An exception has been raised // there is no debugger. } if (bExceptionHit == FALSE) printf ( A debugger is present!\n );

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As for spread footings, piles and shafts are typically designed against six (6) limiting states, two pertaining to service limits, speci cally, settlement and lateral deformations, and the remainder to strength limits (Table 18.9). Again, suggested or codi ed factors of

Just as with the previous approach, this trick is somewhat limited because the PUSHFD and POPFD instructions really stand out. Additionally, some debuggers will only be detected if the detection code is being stepped through, in such cases the mere presence of the debugger won t be detected as long the code is not being traced.

Table 18.9 Strength and service limit states for design of driven pile foundations. (After Withiam et al. 1998) Strength limit state(s) Service limit state x x x x x x

Computing checksums on code fragments or on entire executables in runtime can make for a fairly powerful antidebugging technique, because debuggers must modify the code in order to install breakpoints. The general idea is to precalculate a checksum for functions within the program (this trick could be reserved for particularly sensitive functions), and have the function randomly

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Performance limit Settlement of pile group Lateral displacement of pile/group Bearing resistance of single pile/group Pile/group punching Tensile resistance of uplift-loaded piles Structural capacity of axially/laterally-loaded piles

check that the function has not been modified. This method is not only effective against debuggers, but also against code patching (see 11), but has the downside that constantly recalculating checksums is a relatively expensive operation. There are several workarounds for this problem; it all boils down to employing a clever design. Consider, for example, a program that has 10 highly sensitive functions that are called while the program is loading (this is a common case with protected applications). In such a case, it might make sense to have each function verify its own checksum prior to returning to the caller. If the checksum doesn t match, the function could take an inconspicuous (so that reversers don t easily spot it) detour that would eventually lead to the termination of the program or to some kind of unusual program behavior that would be very difficult for the attacker to diagnose. The benefit of this approach is that it doesn t add much execution time to the program because only the specific functions that are considered to be sensitive are affected. Note that this technique doesn t detect or prevent hardware breakpoints, because such breakpoints don t modify the program code in any way.

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