I made a video of the Network Appliance Forensic Toolkit demo I gave at my local ISSA chapter.
Monday 28 October 2013
Monday 21 October 2013
Update: Suspender V0.0.0.4
Suspender is a DLL that suspends all threads of a process.
This new version adds an option to suspend a process when it exits. Rename the dll to suspenderx.dll to activate this option (x stands for eXit).
When DllMain is called with DLL_PROCESS_DETACH and the reserved argument is not NULL, the process is exiting. So that’s the trigger to suspend it.

Suspender_V0_0_0_4.zip (https)
MD5: 629255337FE0CA9F631B1A7177D158F0
SHA256: 8E63152620541314926878D01469E2E922298C147740BDEAF7FC6B70EB9305EF
Monday 14 October 2013
Update: XORSearch Version 1.9.2
I’ve been asked many times to support 32-bit keys with my XORSearch tool. But the problem is that a 32-bit bruteforce attack would take too much time.
Now I found a solution that doesn’t take months or years: a 32-bit dictionary attack.
I assume that the 32-bit XOR key is inside the file as a sequence of 4 consecutive bytes (MSB or LSB).
If you use the new option -k, XORSearch will perform a 32-bit dictionary attack to find the XOR key. The standard bruteforce attacks are disabled when you choose option -k.
XORSearch will extract a list of keys from the file: all unique sequences of 4 consecutive bytes (MSB and LSB order). Key 0x00000000 is excluded. Then it will use this list of keys to perform an XOR dictionary attack on the file, searching for the string you provided. Each key will be tested with an offset of 0, 1, 2 and 3.
It is not unusual to find the 32-bit XOR key inside the file itself. If it is a self-decoding executable, it can contain an XOR x86 instruction with the 32-bit key as operand. Or if the original file contains a sequence of 0x00 bytes (4 consecutive 0x00 bytes at least), then the encoded file will also contain the 32-bit XOR key.
Here is a test where XORSearch.exe searches a 0xDEADBEEF XOR encoded copy of itself. With only 74KB, there are still 100000+ keys to test, taking almost 10 minutes on my machine:

XORSearch_V1_9_2.zip (https)
MD5: BF1AC6CAA325B6D1AF339B45782B8623
SHA256: 90793BEB9D429EF40458AE224117A90E6C4282DD1C9B0456E7E7148165B8EF32
Monday 7 October 2013
Finding Contained Files
Some time ago I had to figure out if a file was embedded inside another file.
It’s not a file carving problem. I had both files. I just needed to be sure that file A was contained inside file B.
With a hex editor I could find parts of file A inside file B, but it looked like file A was split up and scattered at different locations in file B.
I Googled a bit for a tool, but nothing came up, so I wrote my own Python program.
With my new tool I was able to get assured that file msi49.tmp was inside file c8400.msi:

You can see that file msi49.tmp is one contiguous sequence inside file c8400.msi starting at position 0x3A7200.
But I was more interested to know if file msi49.tmp was also inside file Cisco_Jabber.msi:

And you can see it is, but not as one contiguous sequence. It’s split in 3 sequences.
This tool can also be used to find a downloaded file inside a pcap/pcapng file. I downloaded AnalyzePESig_V0_0_0_2.zip while taking a Wireshark capture.

Or to find a file opened by an application. Here I look into the process dump:

The only limitation is that both files need to be read into memory. But when I’ve time, I’ll turn this into a plugin for the Volatility framework.
The program looks for sequences of at least 10 bytes long (this is an option). If your file is divided in sequences smaller than 10 bytes, then my program will not find the embedded file. Unless you lower the minimum length, but don’t go as low as 1 byte, because then you’re likely to be finding random data.
I’m not 100% sure that my program will find all possible cases of embedded files. No problem if it’s one contiguous sequence, or several sequences in logical order. But I’ve to review my algorithm to be sure it will also find all possible cases of embedded files with sequences in random order. I think it will, but I need to prove it.
find-file-in-file_v0_0_1.zip (https)
MD5: 2984F01404770B92953823D39907B055
SHA256: 1AD124A9A31DACFE1FC9F3B89B3117D3A70D5BC15B712CC1748BEA893612686C
Monday 30 September 2013
Bugfix virustotal-submit.py Version 0.0.2
This is a bugfix for my virustotal-submit.py program.
I fixed a bug in the error handling code for unreadable ZIP files.
virustotal-submit_V0_0_2.zip (https)
MD5: 1152A8507FE7A668DCDF5C44DEAD11DF
SHA256: D5A4E5C3E80F98D4A82A128D8C9DBA395C2B9CDFE9F37E2B0882904D47673CE5
Wednesday 18 September 2013
Update: pdf-parser V0.4.3
There’s still time to register for my “Hacking PDF” training at Brucon next week.
I introduced a bug in pdf-parser version 0.3.8 that changed the behavior of the -w option (raw).
This new version is a fix for this bug.
pdf-parser_V0_4_3.zip (https)
MD5: 2220FFE37AEA36FC593AE33440385E76
SHA256: 1416624938359FDD375108D922350D1B7B0E41B3A40A48F778D6D72D8A405DE6
Tuesday 13 August 2013
A Bit More Than A Signature
Soon I’ll release new versions of my Authenticode Tools.
Detecting extra data in the signature field is one of the new features. For example, it will analyze the size specified in the optional header data directory for security, the size specified in the WIN_CERTIFICATE structure and the size specified in the PKCS7 signature itself. These should be the same, taking into account some zero-byte padding.
In case you didn’t know: extra data can be added in the data directory that contains the signature, without invalidating the signature. My Disitool can do this.
With this new version of AnalyzePESig, I found some setup programs that contain extra data after the signature; data that seems to contain installation options for the installer. For example, the Google Chrome installer has this:

As you can see, the size specified in the optional header data directory for security and the size specified in the WIN_CERTIFICATE structure are both 6272 bytes, but the size of the PKCS7 signature is 6079. So that leaves 181 extra bytes. You can see them here:

And I found some other installers with extra data (config data or license information) in the signature directory: GotoMyPc, PowerGrep, RegexBuddy.
Thursday 25 July 2013
Update: Lookup Tools
It looks like I didn’t release this update to my lookup tools.
lookup-hosts.py has a new argument: -R. This does a reverse lookup of the IP addresses (thus after it resolved the hostname).

And now you can also use letters as a counter: test-[a-z].com
lookup-tools_V0_0_2.zip (https)
MD5: 310904722F900FA34C567FC38634124E
SHA256: 85626574A99BF4D2AB786D8C2FF5B8F6649F1FC7410F1786A24EF0201AAF64AA
Thursday 18 July 2013
Update: js-unicode-unescape.1sc
Because I had to use a workaround in my js-unicode-unescape.1sc script to copy an array of bytes to the clipboard, I asked the 010 Editor developers if they could add a function that does exactly this.
They included this new function, CopyBytesToClipboard, in their new version 5.0.
Here is a new version that uses this function:
js-unicode-unescape_v0_0_2.zip (https)
MD5: 6200C4F235CA527E8C0DCD5076CB1C09
SHA256: 2CACC9EE1BB1D1BC4C9FABC6EC3B3440CFF304AA560966B0B531279C369549BB
Wednesday 10 July 2013
The Art Of Defuzzing
I had something of a puzzle to solve. A friend asked me to look at a set of files, all of the same size, but with some differences.
After some analysis, it dawned on me that these files were the result of a simple fuzzer applied to a single file. So I quickly wrote a program that took these files as input and reconstituted the original file. Later I wrote a more generic defuzzer. Here is an example:
defuzzer.py result.png a*.png Number of defuzzed bytes: 171 Number of defuzzed sequences: 33 Length of shortest defuzzed sequence: 1 Length of longest defuzzed sequence: 10 Fuzz bytes: 'A': 171
From the result you can see that the program was able to reconstitute the original file, and that the fuzzer that was used to produce the different a*.png files, overwrote 33 byte-sequences with the character A. The longest sequence was 10 bytes long, the shortest only 1 byte. In total, 171 bytes were overwritten.
defuzzer_v0_0_2.zip (https)
MD5: 75188EF950625B78937C3473D825C582
SHA256: 056AB8BA7F3B2B52F8C7BFC2959D7F1AE3FEAC4BE90C675B2DFF6B521225D93E