NetNews Usenet Archive 1992 #20/NN_1992_20.iso/spool/comp/os/msdos/programm/9098

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From: [e-mail] (Allan Adler)
Newsgroups: comp.os.msdos.programmer,sci.math.symbolic
Subject: studying executables
Message-ID: <[e-mail]>
Date: 6 Sep 92 18:19:08 GMT
Sender: [e-mail]
Distribution: comp
Organization: M.I.T. Artificial Intelligence Lab.
Lines: 129


For years I have had an interest in understanding, in the absence of any
documentation, what a given executable does. I understand that one can simply
use a debugger, preferably a smart one, and follow it step by step in
the hope of discovering what the code does. The fact that DOS is nonreentrant
has always been the primary obstacle to doing this, at least for me.

It seems to me that there are more enterprising things one can do, but I don't
know how successful they can be. I would appreciate feedback on them and on
tools that might be available or feasible to carry them out.

First, it seems to me that every compiler and every assembler must have its
own idiosyncratic way of producing the executable. Is that true? If so, then
it might be possible to have a database of idiosyncrasies that lets one
figure out what compiler or assembler produced the executable. From that,
one would know what the source language. For each compiler, there might
be a specific decompiler that takes into account the special features of
that compiler. Also, if by some miracle the code was compiled but
not optimized, it seems like it would retain more features of the original.
Or if compiled with C and debugging information was not stripped from the
executable, that would be quite helpful. Knowledge of the source language
and the specific compiler seems like it would be quite helpful.

The second idea is that even if one knows nothing about the source language
or the compiler, one can still imagine tools that will give an overview
of the structure of the program. The trouble with debuggers and disassemblers
is that they work at the lowest level, one instruction at a time. Imagine
instead an attack on the entire executable. First, one determines all of
the bytes in the file that could be the first byte of an instruction,
even if perhaps spuriously (since data could have bytes like that, for example,
or starting an instruction on the second byte could look like some other
instruction). Next, one picks out those places that could conceivably be
jumps, branches, returns or maybe interrupts. This has the effect of cutting
the code up in a natural way into intervals. At this stage, we don't know
which of these intervals is really code and which is data. Next, one
takes each interval and for each byte in the interval one examines
the longest consecutive chain of bytes that constitutes a valid sequence
of instructions. This will give us a collection of subintervals, some of
them overlapping. Now, any consecutive sequence of instructions that
does not jump or branch or return will have to involve one of these chains.

So one enumerates all these chains (just storing their endpoints is sufficient)
and tentatively one treats them like a library of routines one can call,
except we don't know what they do. But they are much smaller than the
original executable and can be examined individually in detail if the need
arises. Even without stepping through them, it seems as though certain things
can be done automatically, such as determining all of the registers and
(perhaps unknwon) memory locations that are the "inputs" to that chain
and all the registers and memory locations (perhaps unknown) that are the
outputs.

It then seems conceivable that for each such chain, one could use or write
a computer algebra program that determines how the outputs depend on
its inputs. After all, we have removed all the noncomputational things like
jumps and branches and interrupts and returns. So what it is doing is in effect
implementing some disgusting formula.

At the moment, that is as far as I can see into the chains from a general
point of view. On the other hand, we still have to look more closely at
the branches, jumps, returns and interrupts. Now, none of these was actually
known to be one, merely that it could be one. So one wants techniques to
determine whether they are really there or not and if so, where do they
branch, jump, return to and which interrupt. In the case of interrupts,
a certain register will be loaded with the number of the interrupt before
the interrupt is executed. In code I have looked at, that happens immediately
or almost immediately before, but that could be either a programming convention
or one of the idiosyncrasies I mentioned that each compiler has. It is
conceivable that the register is loaded much earlier. So one has two choices
here: (1) one can assume that if the register is not loaded within a certain
number of instructions before the interrupt, then the interrupt is not real.
The number of instructions back one looks can then be called the "resolution"
of the search (2) one can look arbitrarily far back. This would probably
be an act of desperation. I'll assume that one takes the first approach
and has a fairly small resolution. Similarly, branches and jumps have some
information regarding where one is jumping or branching to and that information
would like in a certain register. So one can look at when that register was
loaded, again with a certain resolution. I'm not sure what to do with returns,
but if a return is genuine, it has to be regarded as terminating whatever
chains it lies at the end of. Similarly, any unconditional jump instruction
has to be regarded as terminating whatever chains it lies on. A conditional
branch instruction will not in general terminate the chain it is on, since
it ought to be conceivable that the branch condition fails and that the
code continues. Therefore, a valid branch condition ought to be the nexus
of two chains.

One of the lacuna of what has already been said is that it is hard to know
what specific values one is working with in jumps, etc. One can also
try to automatie some methods of getting those values. For example, look
at every byte that can be a load immediate instruction and look at every
byte that can be setting the value of the code segment, data segment,etc.

The more information one get get about the numbers that are actually
being loaded in turn narrows the possibilities for where the jump and
branches could be going, which in turn reduces the number of possible
chains.

There is more one can do. For example, with interrupts, some interrupts are
more likely to be used than others. I would expect that an interrupt to
print something on the screen would be likely to occur at least once. One
can also look through the executable for all sequences of ascii characters
and to enumerate them. Some of them will be messages and one can note
their locations. That gives some more clues to the numbers. There might be
similar tricks one can do with other interrupts or for other ways in which
strings are used (e.g. environment variables, file names...).

Assuming that one has determined the locations of the set of chains, jumps,
branches, interrupts, etc, that actually do occur in the program, one can
then "condense" the executable down to a much smaller object, by treating
each chain as an instruction in some "higher language". It is possible that
some chains are contained in others, but that is not a problem, just as it
is not a problem that the effects of some instructions include the effects
of other instructions. Once "condensed" in this way, it becomes possible
to study the program more directly.

Most likely, there will be more than one way to condense an executable
given the information one has, so one might have to examine several
condensations. However, in principle each is a possible way to use the
unknown executable.

Admittedly this does not solve the problem, but I feel that automating what
I have described would put one in a position to take the next step.

I've posted this on comp.os.msdos.programmer because usually it is on
MSDOS systems that I am looking at executables. I am crossposting
to sci.math.symbolic because of the possible applications here of computer
algebra.

Allan Adler
[e-mail]