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===Phrack Inc.==
Volume 0x0e, Issue 0x43, Phile #0x0a of 0x10
|=----------------------------------------------------------------------=|
|=-------=[ Dynamic Program Analysis and Software Exploitation ]=-------=|
|=---------------=[ From the crash to the exploit code ]=---------------=|
|=----------------------------------------------------------------------=|
|=----------------------------------------------------------------------=|
|=---------------=[ By BSDaemon ]=---------=|
|=---------------=[ <bsdaemon *noSPAM* risesecurity_org> ]=---------=|
|=----------------------------------------------------------------------=|
|=-------------------------=[ August 14 2010 ]=------------------------=|
|=----------------------------------------------------------------------=|
"Don't matter what do you beleive
happens when someone dies, the life always continues through the others who
remember."
Md. Sergio da Silva Branco
Beloved father and my hero. God bless
you!
------[ Index
0 - Abstract
0.1 - Keywords
1 - Introduction
1.1 - Paper structure
2 - Concepts and Additions
2.1 - Taint Analysis
2.1.1 - Taint Sources
2.1.2 - Intermediate Languages and Tainted Sources
2.1.3 - Explosion of watched data
2.2 - Backward Taint Analysis
2.2.1 - From the crash to the exploit
3 - Existent solutions and comparisions
4 - Future and other uses
5 - Acknowledgements
6 - References
7 - Sources
------[ 0 - Abstract
This article provides a compilation of the state of the art in program
analysis, a real implementation based on an extension to the Microsoft
Debugger for tracing and a GUI application to actually do such
analysis and help determine not just if something is exploitable, but
actually to guide you in such exploitation process. It uses backward taint
analysis to map from the crash back to the original data and define what
part of the data crashed the application, and how such data was transformed
during the execution.
It does not discuss how to create a Microsoft Debugger extension, and is not
even going to citate anything related to that. It is all about software
exploitation, so I completely ignore other motivations for program analysis
(although I know those motivations are really important too). A deep
understanding of software exploitation is required in order to really take
advantage of such tool.
------[ 0.1 - Keywords
Dynamic Analysis, Taint Analysis, Data Flow, Intermediate Language, Reverse
Engineering, Software Exploitation.
------[ 1 - Introduction
Program Analysis is a hot topic. Many people are discussing this subject
even more given the amazing numbers of crashes the fuzzers are finding
nowadays [1] [2].
This article uses program analysis as the way of making a computational
system reason automatically (or at least with little human assistance)
about the behavior of a program and draw conclusions that are somehow
useful.
In a world where thousands of crashes do exist and are easily found in very
important softwares, the classification of exploitability of such bugs is
the first priority. It is known that it is impossible (or inviable or
nobody wants to, or whatever other excuse you find to not fix your
software) to fix all the bugs such fuzzers are finding, so, at least,
companies want to fix (or exploit) the ones that are exploitables.
The problem is that the only available solution to analyze such crashes are
provided by Microsoft (named !exploitable or bang exploitable) [3][4] and
are not really useful to create actual exploits or to better understand the
problem, but just to give a static classification (exploitable, probably
exploitable, not exploitable or unknown).
Even people with source code access are sometimes relying on such tools to
determine the exploitability of a given path (sometimes it is easier to
analyze a bug without getting into the messy code structure).
Taint Analysis concepts and challenges are going to be explained in order
to determine what is being done by the proposed solution and to provide a
better idea of future and areas of improvements.
---[ 1.1 - Paper structure
In Chapter 2 I discuss about the concepts needed in the solution, like what
is program flow analysis, taint analysis, what are the taint sources that
can be used and how to map between the assembly code and the taint places
in order to propagate the taint. Also in this chapter I talk about the
explosion of watched data when you are tainting from the beginning of the
execution and why backward taint analysis is the solution for this problem.
Chapter 3 compares the provided solution with the Microsoft !exploitable
software.
Chapter 4 defines the future of this area and some expected improvements in
the future.
Chapter 5 is the acknowledgements to everybody who contributed
directly or indirectly to this article.
Chapter 6 includes the references and some additional references (not
directly cited in the article, but very useful to learn more) and, finally,
Chapter 7 is the most juicy part and includes all the sources for two
different projects (the Microsoft Debugger extension which is the main
focus of this article and a HeapMonitor for Linux-ARM that I also comment
in this paper).
------[ 2 - Concepts and Additions
This is the core of the article and will give the state-of-the-art in
program analysis focusing in software exploitation. Here I discuss
all the challenges in this area and all the concepts needed in order to
understand the attached code (Section 7).
Vulnerability exploitation experience is not required to understand this
particular section. Vulnerability exploitation experience is mandatory
to actually use the offered solution, since the implementation only helps
the analysis process and does so automating the process of validation of
what the attacker control that influences a crash and what are the code
traces to get to the crash point.
---[ 2.1 - Taint Analysis
Taint Analysis is one kind of program flow analysis and the idea behind
such analysis of a program flow in the context of this article is to define
the influence of external data over the analyzed application.
Since the information flows, or as usually said, is copied to or influences
other data, there is a need to follow this influence in order to determine
the control over specific data (registers, memory locations). This is a
requirement to later determine the exploitability.
To follow the information flow, I need to keep track over all the taint
sources, and propagate such tracking to influenced data.
That means that when a tainted location is used in such a way that a value
of other data is derived from the tainted data (like in mathematical
operations, move instructions and others) I need to mark the other location
as tainted as well. This is called taint propagation and is defined with
the following transitive relation:
- If information A is used to derive information B:
A->t(B) -> Direct flow
- If B is used to derive information C:
B->t(C) -> Direct flow
- Thus: A->t(C) -> Indirect flow
These transitive steps between operations are called 'flows' and can be
analyzed one by one or in a block (like in the example above, A->t(C)).
A location is defined as:
- A memory address and size
- A register name (for the implementation a register is considered
entirely, not making differences regarding %eax and %al for
example). This means that, when defining a register, I set
it higher (e.g: setting %al as tainted will also taint %eax)
and clearing will clear it lower. Care must be taken, since
when defining %al, %ah is not set.
To keep track over bit operations in a register, it is important to taint
the code-block level of a control flow graph [5]. This adds extra
complexity, since there is the flow graph and the data flow dependencies
graph. The dependencies graph represents the influence of a source data
to the operation been performed.
In the implementation provided with this article, the WinDBG extension will
normalize the operations, saving the used values for later inspection by
the GUI application. This provides a great view over the tainted data.
---[ 2.1.1 - Taint Sources
Any information that is considered untrusted is tainted.
Untrusted, for the scope of this article, is the information considered in
control of the attacker. There is also a transitive relation when dealing
with tainted data, where any untainted data that receives values from tainted
source, becomes tainted.
This includes information received from the network, or readed from the
disk (in case of client-side exploits, for example).
The more tainted information, the bigger the propagation and the required
resources in order to keep track of that. In fuzzing situations, where
taint data is used to feedback the program behavior, even server-side
configurations can be marked as tainted (in order to avoid the need to test
server software with multiple different configurations [22]).
Tainted information is just deleted when it receives an assignment from an
untainted source or and assignment from a taint source resulting in a constant
value not controlled by the attacker. Most instructions in a program will not
untaint the data, thus usually the number of tainted data grows during the
program analysis.
The example above is an explicit flow, since the defined value will receive
the used tainted value independently of any conditions.
When there are conditions for the flow, this is called an implicit flow,
like in the following example:
if (x == 1) y=0;
As I'll analyze in section 2.2, conditional statements needs a special analysis
approach, and in the offered tool this is done in the analysis part
(the WinDBG extension).
Two special situations to track are partial tainting (when the untrusted
source doesn't completely control the tainted data) and tainting merge
(when there are two different untrusted sources being used to derive some
data). In a merge, the result is tainted.
A data area is 'used' when it is referenced by an operation and is
'defined' when the data is modified.
Instructions that are pure assignments are easy to track, since if a
tainted location is used to define another location, this new location will
also be tainted.
Operations over strings are tainted when:
- They are used to calculate string sizes using a tainted location
E.g: a = strlen(tainted(string));
Since string is tainted, I assume the attacker also controls
the value of a.
- Search for some specific char using a tainted location, defining
a flag if found or not found.
E.g.: pointer = strchr(tainted(string), some_char);
if (pointer) flag=1;
Since the string is tainted, I assume the attacker also
partially controls the flag. The same happens if the
attacker controls the some_char value.
Arithmetical instructions with at least one used tainted data usually
define tainted results, since the attacker at least partially controls the
result.
Those instructions can be simplified using intermediate languages to map to
boolean operations, and then the following rules applies:
Or truth table:
X Y X or Y
0 0 0
0 1 1
1 0 1
1 1 1
And truth table:
X Y X and Y
0 0 0
0 1 0
1 0 0
1 1 1
Xor truth table:
X Y X xor Y
0 0 0
0 1 1
1 0 1
1 1 0
Assuming there is at least one used tainted data:
- In the situation where I have an or operand, if the used
untainted data is 1, I know that I don't define the result of the
operation, so I untaint the result. If it is 0, I know that
whatever value I define for the tainted data, the same value will
be defined for the used target of the operation, meaning that the
result is tainted.
- When I have the and operation, on the other side, if the used
untainted data register is 0, I know that I can't define the
result, and hence I untaint the data. If the used untainted data
is 1, I completely define the result, so it is tainted.
- XORs have a special situation where the value is XORed with
itself. This is the only case where an used tainted data will
define an untainted result (0).
It is also a good idea to keep track of the EFLAGS register when the
attacker is able to define the value, considering it tainted (this is later
used to determine the influence over flow operations).
Conditional branches are taken care of in the implementation using the
tracing analysis generated by the WinDBG plugin. Single-stepping is used for
the tracing. WinDBG provides the disassembled opcode for the current
instruction and it is parsed to keep track of the tainted data.
To solve a limitation of the tool, which is to consider cases not created
by the original crash data, one must analyze conditional jumps and flag
registers carefully:
- If the attacker can define the EFLAGS, and a jump is dependent of
a flag, the attacker controls the branch decision (this is
considered by !exploitable as unknown, since creates lots of
different possibilities - simply controlling EIP is not enough to
define exploitability, since some control over the memory
location pointed by the EIP is also a requirement). Ret-into-lib
depends of the controls over the arguments and ROP approaches requires
multiple return control to create all the required gadgets.
- control over a branch decision means tainted EIP, since the
attacker at least partially controls the flow of execution
- To consider the value of EIP, one must define:
* The address if the jump is taken
* The address of the next instruction (if the jump is not
taken)
* The value of the interesting flag register (0 or 1)
* Then: %eip<-(address of the next instruction) + value
of the flag register * (|address if the jump is taken -
address of the next instruction|)
The above formula permits to extend the functionality to expand the taint
over code flow blocks, solving the actual limitation of defining if a
specific code block is under attacker control (instead of a specific
destination with the actual input that generates the crash), but also
exponentially grow the complexity of keeping track.
Researchers are creative and as so there are many other uses for taint
analysis like identify how long sensitive data is kept in the system [6]
and/or formally define a secure information flow [7].
---[ 2.1.2 - Intermediate Languages and Tainted Sources
In order to keep track of the tainted sources and propagate the taint, it
is critical to have a program analysis that will understand the target
program language semantics.
Tools exist to implement taint analysis in high-level languages, such as
C++ and Java [7][8][9], but this article focuses on straight assembly code
analysis. I also recommend reading about symbolic execution [9][10] and
SAT Solvers [11][12][13] since this has a close relation with the subject.
The classic approach is to use an intermediate language to represent the
program instructions. This improves the code quality and helps in
portability.
There are many good references in that area, so I'm just going to recommend
some [14][15][16] and say that I use the WinDBG api directly, which is not
the best approach while thinking in portability, but was the fastest to
code.
The WinDBG extensions are DLLs loaded by the debugger using LoadLibrary and
run in the context of the debugger process. Those extensions are trusted
by the debugger. The debugger tries to handle access violations, but heap
corruptions in the extension itself will likely crash the debugger.
All the debugger extensions can make calls to the Win32 API and to the
debugger interfaces (dbgeng.dll).
What is more interesting is the fact that the debugger API will try to
abstract the type/version of the target, which means you can write
extensions that will work on a live debugging session or in a dump file
equally. The same applies for user-mode/kernel-mode targets.
The two main types of extensions API for WinDBG are:
- WdbgExts -> Old debugger extension interfaces has many
limitations for symbol and type lookups
- DbgEng -> It is the new debugger interface, which the attached
project is based on. Offers interface for everything that can be performed
by the debugger
DbgEng extension API is exposed through the dbgeng.dll and offers the
capability to create new standalone tools that call the interface. Some of
the functionalities supported:
- Get current thread/process information
- Read/Write memory
- Symbol/type lookup
To call the extension functions, one need to first created the debug
interface objects and then call the interface exposed by these objects.
A extension using the DbgEng must export the DebugExtensionInitialize entry
point, and optionally export the DebugExtensionNotify and
DebugExtensionUninitialize entry points.
As previously explained, the debugger will LoadLibrary() the extension dll
and then will use the GetProcAddress() to find the entry point.
From the attached code:
HRESULT
CALLBACK
DebugExtensionInitialize(
OUT PULONG Version,
OUT PULONG Flags
)
This is the mandatory entry point which will be called when the extension
is loaded. This function get new debugger interfaces by calling in the
code:
if ((Hr = DebugCreate(__uuidof(IDebugClient)),
(void **)&DebugClient)) != S_OK)
...
if ((Hr = DebugClient->QueryInterface(__uuidof(IDebugControl),
(void **)&DebugControl)) != S_OK)
The optional:
void
DebugExtensionNotify(
OUT ULONG Notify,
OUT ULONG64 Argument
)
Is called then the target is connected/disconnected and is not used in the
code. The DebugExtensionUninitialize is called when the extension is
unloaded and can perform cleanup routines.
In the attached code:
HRESULT
CALLBACK
vdt_trace(PDEBUG_CLIENT Client, PCSTR args)
Is the debugger extension (called from the debugger using !vdt_trace). The
args is the command line argument string passed to the extension.
The API is very rich in getting process information and I strongly
recommend the reader to have a look into the source code at this point.
---[ 2.1.3 - Explosion of Watched Data
Anybody who has worked with taint propagation knows that the biggest
problem is how to keep track of all the data.
In this case, I need at least to:
- Identify all the instructions and their operands
- Define what are the source, destination and other impacted
registers (some projects don't keep track of affected registers,
like the comparision flags in EFLAGS [6])
- Mark all the tainted data
- Understand what each instruction does
It is easy to see that keeping track over all the information is quite
performance-intensive, even more when decisions need to be made and
followed.
There are implicit and explicit operands for instructions, and it is
necessary to support all the situations (otherwise, the track over some
important tainted data is lost).
A good example [5] is a simple push %eax operation:
- Explicit operand: %eax register
- Implicit operands: %esp and ss
- Semantic: %esp<-%esp-4 (substraction)
ss:[%esp]<-%eax (move)
As explained, this is treated by the intermediate language. I need to keep
track of the base memory areas, their size and the register names (keeping
bitwise information - as opposed of byte-level [21] - is better to avoid false
positives, but is prone to easily explode the amount of data collected).
Boolean operations have a special treatment as well, since some boolean
operations will provide different results when they are performed with the
same data (or with fixed values), like a XOR of the same tainted data will
give back untainted information (and with 0 is the same, and so on...), as
explained before.
Instructions over strings also needs to be tainted (many integer overflows
happens from calculations of data sizes). The cases of tainting operations
over strings have been explained in the section 2.1.1.
Tainted data will remain for long time, also increasing the explosion
problem (to delete the tracking over a data, it is required that this data
receives an uncontrolled value, or is deallocated somehow).
During the tracing step (explained later) the instructions complexity are
simplified in order to speed-up the analysis process.
Due to all the challenges faced by the taint analysis and to the lack of
detailed information about source data for specific file-formats and protocols,
and thus the difficulties in creating working exploits for such cases, I
decided to use a different approach. Such approach is very useful when you
already have a reproducible crash case and is named Backward Taint Analysis.
---[ 2.2 - Backward Taint Analysis
Backward Taint Analysis is a reverse approach to the natural taint analysis
flow. Basically, instead of getting all the input, mark it as tainted and
track it during the program execution, what I do is to get the crash,
validate what is of interest (which led to the application crash) and trace
back to see if it comes from input and, if so, what modifications were
performed.
This avoids the explosion of tainted data, since most of the input is
considered not tainted (and usually it is legitimate).
To do so, the process is divided in two parts:
- A trace from a good state to the crash (incrementally dumped to a
file) -> Gather substantial information about the target
application when it receives the input data, which is formally
named 'analysis'
- Analysis of the trace file -> Formally defined as 'verification'
step, where the conclusive analysis is done
The trace step stores some useful information, like effective addresses and
data values (later used to determine what is been copied to where and how
it is been affected). Note that:
- This is done using a WinDBG extension
- It only supports the basic x86 instructions (so, no MMX and SSE).
This limits the analysis in many cases and requires extension on
the supported instructions. The project is been open-sourced here,
so I expect to receive patches.
- Simplification of the instructions to make the next step softer
To provide the simplification it is necessary to deal with many specifics,
like in the instruction:
- CMPXCHG r/m32, r32 -> 'Compare EAX with r/m32. If equal, ZF is
set and r32 is loaded into r/m32.
Else, clear ZF and load r/m32 into
AL' [17]
Such an instruction creates the need for conditional taints, since
by controlling %eax and r32 the attacker controls r/m32 too.
Alternative taints are also provided, in the form of srcdep{1,2,3}.
Since the trace step generates a file to be loaded by the next step, this
file will contain:
- Mnemonic of the instruction
- Operands
- Dependences for the source operand
Dependences for an operand are for example, elements of an indirectly
addressed memory. This will create a tree of the dataflow, with a root in
the crash instruction.
The analysis step receives the address ranges that have the attacker data
and then does the automatic analysis to determine the control over anything
you want to know.
- This is done by a standalone tool (it is in the same project
file), and has a GUI!
Since the dataflow is available in a tree rooted in the crash instruction,
the analysis step will just search in this tree, using a BFS [18]
algorithm.
Let's now look at some example code:
1-) mov edi, 0x1234 ; dst=edi, src=0x1234
2-) mov eax, [0xABCD] ; dst=eax, src=ptr 0xABCD
; Note 0xABCD is evil addr
3-) lea ebx, [eax+ecx*8] ; dst=ebx, src=eax, srcdep1=ecx
4-) mov [edi], ebx ; dst=ptr 0x1234, src=ebx
5-) mov esi, [edi] ; dst=esi, src=ptr 0x1234, srcdep1=edi
6-) mov edx, [esi] ; Crash!!!
The tree will look like:
6-) Where does [esi] come from?
5-) [edi] is moved to esi, where edi comes from and what does exist
in [edi]?
4-) [edi] receives ebx and edi is defined in 1-) from a fixed value
3-) ebx comes from a lea instruction that uses eax and ecx
2-) eax receives a value controlled by the attacker
... ecx is out of the scope here :)
---[ 2.2.1 - From the crash to the exploit
In order to compile the provided project, I use Microsoft Visual Studio
2008 for the GUI and the command line for the debugger extension (don't
forget to install the debugger extension SDK [19]).
To compile the applications, go to the sources directory and open the
Project in Visual Studio.
The GUI is compiled using the project build, the dll is compiled through
the command line:
- Open the DOS prompt
- Execute:
Cmd.exe /k C:\WinDDK\7600.16385.0\bin\setenv.bat \
C:\WinDDK\7600.16385.0\ chk WNET
- Then go to the directory VDT-Tracer and execute:
setpaths.cmd
- On some systems you will need to open the makefile file (just
open and close):
edit makefile
- Then, just compile:
bcz
- Copy the library from bin\i386\vdt-tracer.dll
to your WinDBG extensions directory
Attached to the article there is an Excel file for a problem discovered by
accident two years ago (the problem was discovered during a Forensic
Analysis by a friend of mine, who after recovering an Excel Spreadsheet
noticed that Excel was crashing when trying to open it).
The name of the file is FIL573.XLS.
The problem was fixed more than a year ago, but it is useful to illustrate
the steps taken in order to use this project. As mentioned, I'm not going
to discuss the analysis step, but I'll just show how to get the tool to
work... the rest is up to you!
First, open excel, and attach to it using WinDBG [Figure
WinDBG_Attaching_to_Excel]. Add a breakpoint in the CreateFile [Figure
WinDBG_Breakpoint_CreateFile].
Start the tracing process [Figure WinDBG_Trace_VDT].
Open the crash file withing Excel [Figure Opening_Crash_File_Excel].
Using an hex editor (in my case I used the xvi32) open the file and try to
locate a string that you can search in the program's memory, to determine
where the file was loaded [Figure Finding_User_Input_in_Memory].
Using the searching capabilities of WinDBG, locate such string in the
program's memory [Figure WinDBG_Finding_User_Input_in_Memory].
Open the trace file in the GUI [Figure VDT_Open_Trace_File] and add a taint
range like in [Figure VDT_Add_Taint_Range] and
[Figure VDT_Add_Taint_Range2].
Now everything is ready, and you will have the taint analysis of the
instructions you are interested of, related to the range of memory you just
specified.
Click with the right button in any instruction [Figure VDT_Check_Taint_Of],
see the Check Taint Of option [Figure VDT_Check_Taint_Of2]. It is going to
offer the taint information for all applicable operands
[VDT_Check_Taint_Of3].
------[ 3 - Existent solutions and comparisions
Microsoft Research released the !exploitable [3] extension for Microsoft
Debugger and its source code. This is a great initiative and contributed a
lot for the growing number of cooperation between researchers and the
software industry (since now the vendors can at least classify the
exploitability of each reported vulnerability). Although it fails in many
cases to classify the exploitability, it provides a good
extensibility support and is a good start point in this initiative.
It is important to note as well that a good aim of the tool is to identify
unique bugs, eliminating duplicated issues.
A simple example of the problem of such approach is:
_declspec(naked) int main() {
_asm {
mov eax, 0x41414141
call eax
}
}
This is incorrectly classified as EXPLOITABLE because the tool always
assumes that the attacker has control over all the input operands
[Figure bangexploitablefp.jpg].
This is not the case in the example. The provided solution in
this article differs from that, since instead of trying to classify the
exploitability, I try to save researcher time while analyzing
vulnerabilities and determining exactly that limitation: Are the input
operands in control of the attacker?
So, to resume, bang exploitable (!exploitable) objectives are:
- Classify unique issues (crashs appearing through different code
paths, machines involved in testing, and in multiple different
test cases)
- Quickly prioritize issues (since crashes appear in thousands,
while analysis capabilities are VERY limited)
- Grouping the crashes for analysis
And the provided tool objective is:
- Helping you to create the exploit code :)
Piotr Bania released a paper about an architecture for similar analysis,
providing more advanced cases called Spiderpig [20]. The Spiderpig project
is not available for testing, making it impossible to create a fair comparision.
In Piotr's paper, he explains the Virtual Code Integration (or Dynamic Binary
Rewriting) approach. Some of the techniques used in the 'intermediate
language representation' phases are also adopted in the provided tool, in a
different way (there is no intermediate language, but a normalized output
of the execution trace). Spiderpig has ways to solve specific conflicts
in partially controlled data, creating what he named a disputable object.
In those objects, parent objects are also available for analysis.
After reviewing the provided algorithms in the article Spiderpig seems to be
much more advanced than the provided tool, but as said, is not available.
Taint Check [21] is dependent of DynamicRIO or Valgrind and is an extension
to provide taint analysis in order to detect overflow conditions in tested
software. It does not help in the exploit-creation phase, neither to
determine the actual exploitability of an issue. It is divided in the
taint-seed, taint-tracker and taint-assert, with the purpose of defining
original tainted values (values comming from the network for example),
track the propagation and alert about security violations respectively.
Because they provide a solution for security-tests I decided to also
include a heap-monitoring example tool with this article. This tool aims
at solving the challenge of heap tests for embedded Linux architectures
using ARM (much less advanced then the Valgrind Memcheck plugin,
altought the only option for ARM as far as the author is aware).
The solution provided here started when I first faced the problem of
exploiting a complex client-side vulnerability, involving a very complex
(and at that time closed) file format. It was later expanded when I saw
the results of attacking scenarios against Word [1] and started to think
how to automate the analysis in order to determine the exploitability.
My initial version was integrated with a fuzzer to provide internal
information and feed back the fuzzer in order to have better coverage of
the critical parts of the software [22]. It was unix based and
later ported to cover Solaris too, in order to exploit two vulnerabilities
released by Secunia [23] in the same software where RISE Security found a
vulnerability some months before.
Because a good friend of mine was doing research in the same area, and had
good experience with the Microsoft Debugger, we decided to integrate our
implementations and create the final version provided here. I keep
expanding this version since then and using in my work and personal
projects.
The biggest difference here is that we provide the backward Taint Analysis
in order to help the exploitation process, which means we focus in
determining what the attacker controls from the crash back to the input
data.
------[ 4 - Future and other uses
I can't foresee the future. I hope that more researchers are going to
contribute with the project, helping it to grow and achieve maturity.
The code needs immediate support for extended coverage of x86 instructions,
speed enhancements, introduction of heuristical detection over user input
(so you don't need to manually specify the memory ranges to watch).
I'm sure many other uses are possible, and for sure I do expect some
extensions to come.
The original idea was based on Valgrind and REX intermediate language. The
available version is based on Microsoft Debugger (but really tight to it
due to the limited amount of time to create the project).
A limitation of such approach is the fact that you need the PoC to trace
the execution until the crash, and then to analyzed it backwards. If your
PoC is not taking a specific execution path that gives you control over some
specific memory areas, the analysis will say you don't control such memory
areas. The tool does not try to find other ways to get control over areas
that you need, it only provides you the information if you control or not
such areas based on the executed PoC.
There are other areas of interest, like heap viewing [24]. A
heap view example for linux arm is also available with the article and
future versions on Sourceforge [25].
Also, the integration with fuzzers [22]
is an interesting approach to provide better ways to find security
vulnerabilities.
------[ 5 - Acknowledgments
A lot of people helped me in the long way for these researches that
resulted in something interesting (at least to me) to be published, you all
know who you are.
The biggest thanks goes to Julio Auto, for helping me with the tools and
for having the motivation to go present alone [26] while I was still
fighting to get permissions to release everything in my personal name.
Special tks to the Phrack Staff for the great review of the article, giving
a lot of important insights about how to better structure it and giving a
real value to it.
I'll never ever forget to say thanks to my research team and friends at
RISE Security (http://www.risesecurity.org) for always keeping me motivated
studying completely new things.
Conference organizers who invited me to talk about Software Exploitation,
even after many people already talked about the subject they trusted that my
talk was not more of the same.
It's impossible to not say thanks to COSEINC, an amazing place for hackers
to work and which provided me lots of motivation to keep my projects going
on my free time.
A big thanks goes to Check Point Software Technologies, for paying me to
keep doing my hobby ;)
------[ 6 - References
[1] Nagy, Ben. "Finding Microsoft Vulnerabilities by Fuzzing Binary. Files
with Ruby - A New Fuzzing Framework";
Syscan 2009
[2] Miller, Charlie. "Babysitting an Army of Monkeys: An analysis of fuzzing
4 products with 5 lines of Python"; Cansecwest 2010
http://securityevaluators.com/files/slides/cmiller_CSW_2010.ppt
[3] Microsoft !exploitable page
http://msecdbg.codeplex.com
[4] Abouchaev, Adel; Hasse, Damian; Lambert, Scott; Wroblewski, Greg.
"Analyze crashes to find security vulnerabilities in your apps"
[5] Barbosa, Edgar. "Taint Analysis"; H2HC 2009
http://www.h2hc.com.br/repositorio/2009/Edgar.pdf
[6] Chow, Jin. "Understanding data lifetime via whole system emulation";
Usenix 2004
[7] Denning, Dorothy; Denning, Peter. "Certification of Programs for Secure
Information Flow"
[8] Klee Project
http://keeda.stanford.edu/wiki/klee-install
[9] Godefroid, Patrice; Levin, Michael; Molnar, David. "Automated Whitebox
Fuzz Testing"
http://research.microsoft.com/en-us/projects/atg/ndss2008.pdf
[10] Molnar, David; Wagner, David. "Catchconv: Symbolic execution and
run-time type inference for integer conversion errors"
[11] Wille, Andre; Drechsler, Daniel. "Evaluation of SAT like Proof
Techniques for Formal Verification of Word Level Circuits
[12] de Moura, Leonardo; Bjorner, Nikolaj. "Z3: An Efficient SMT Solver"
[13] Z3 Project - Microsoft Research
http://research.microsoft.com/en-us/um/redmond/projects/z3/
[14] ERESI Project
http://www.eresi-project.org/
[15] Valgrind Project
http://www.valgrind.org
[16] Porst, Sebastian. "Applications of the Reverse Engineering Language
REIL"
http://www.h2hc.com.br/repositorio/2009/Sebastian.pdf
[17] Intel Manual
http://www.intel.com/software/products/documentation/vlin/mergedprojects/analyzer_ec/mergedprojects/reference_olh/mergedProjects/instructions/instruct32_hh/vc42.htm
[18] BFS algorithm
http://en.wikipedia.org/wiki/Breadth-first_search
[19] Microsoft Debugger SDK
http://www.microsoft.com/whdc/devtools/debugging/default.mspx
[20] Bania, Piotr. "Dynamic Data Flow Analysis via Virtual Code
Integration (aka The SpiderPig case)"
http://piotrbania.com/all/spiderpig/pbania-spiderpig2008.pdf
[21] Newsome, James; Song, Dawn. "Dynamic Taint Analysis for Automatic
Detection, Analysis, and Signature Generation of Exploits on Commodity
Software"
http://valgrind.org/docs/newsome2005.pdf
[22] Branco, Rodrigo. "Letting your fuzzer know about target's internals"
http://www.troopers10.org
[23] Secunia Advisory SA32473. "Sun Solaris Sadmin Two Vulnerabilities"
http://secunia.com/advisories/32473/
[24] Core Security Technologies. "Heap Draw / Heap Tracer"
http://oss.coresecurity.com/projects/heapdraw.html
[25] JFree Project
http://www.sf.net/projects/jfree
[26] Auto, Julio. "Triaging Bugs with Dynamic
Dataflow Analysis" .Source Barcelona 2009
www.julioauto.com/presentations/sourcebcn09_TBwDDA.ppt
------[ 7 - Sources [vdt_jfree.tgz]
---------------------------------------------------------------------------
Attached to the article there is:
- VDT Project: The main project cited in the article, it is a
Microsoft Debugger extension and a GUI used to analyze crash files in order
to create an exploit code
- Jfree project: It is a Linux-ARM Heap Monitoring System created
long ago and also available at [25]
- Images directory: Some screenshots of the program and plugin of
the VDT Project.
Further updates will be available in the RISE Security website at:
http://www.risesecurity.org
For the author's public key:
http://www.kernelhacking.com/rodrigo/docs/public.txt
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
XD=`
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gemini - kennedy.gemi.dev
[9
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gemini - kennedy.gemi.dev
]6F(.&
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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gemini - kennedy.gemi.dev
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