sniffmypackets v2 – Sneak Peak

So this week I started the long awaited (well on my part) rewrite of sniffmypackets. My initial release was more a voyage of discovery rather than a well thought out application but it did teach me a lot about how to write transforms for Maltego (using Canari Framework) so I felt it was best to start from scratch and just reuse chunks of code where it made sense.

I’ve also decided to add more functionality that will make using SmP (sniffmypackets) more than just a Maltego based exercise. There are 3 key features I will be adding.

1. Database Support
2. Web Interface
3. Netflow support

The decision to use a database (MongoDB at the moment) was to allow for the database to exist after Maltego is closed. Every pcap will have a unique Session ID which means that not only can you load a pcap into SmP you can (on a different machine and without the original pcap) then rebuild the contents of the pcap based on the Session ID.

The web interface will mean that other people (who may or may not have Maltego) can then view key information about a pcap or you can just use it as another source of reference.

Both the database and web interface will be able to run outside of the machine running Maltego (so you can centralise it) and I might even include Vagrant machines if you don’t have the capacity to do that.

It does mean that SmP will need a MongoDB backend to run but trust me it will be worth it.

After a conversation I had a few weeks ago with some very clever people I decided to add Netflow capabilities into SmP to give you even more bang for your buck (so to speak).

Below are some screenshots of what it looks like at the minute.

SmP - Overview

SmP - Session Import


Categories: sniffMyPackets

HoneyMalt – Maltego for Honeypots

So in my normal fashion, the other week I came up for another Maltego/Canari project while still not having completed most of the other projects I’ve started. That being said I like to keep things interesting so today I give you HoneyMalt.

The love child of the Canari Framework, Maltego and Kippo (SSH Honeypot), HoneyMalt allows you to pull data out of your Kippo honeypot (as long as you are using MySQL) and display it in a graph. A bit like this one below.


Currently HoneyMalt allows you to display the following information:

“Evil” IP address
Geo IP lookup for country code
Session ID
Username/Password combinations
Input (the stuff they type in)
File download info

I’ve also managed to get the hang of Maltego Machines (finally) and all of these transforms run from one machine (who knew that path & paths would give me so much grief). The sneaky use of a Maltego machines and a database means, that if like me you don’t have a full version of Maltego (donations accepted) you can still get the all the entities returned instead of hitting the 15 entity limit on a transform run, it just takes a few iterations of the machine running.

There is a quick Youtube video of what that looks like below.

I’m also in the process of adding some search functions so you can find specific sessions based on IP address, or keyword or url. After that I will be moving onto more honeypots (Dionaea next) to add into HoneyMalt with the sole intent of trying to breaking your machine while Maltego tries to graph it all (only kidding).

With HoneyMalt I’ve also resisted the urge to create loads of new entities so where possible I’ve used the Maltego builtin ones so that you can make use of the existing transform sets which is good for you and means I have less to code (I’m not lazy honest..). Likewise I’ve also resisted the urge to use lots of Python modules so you only need 3 (currently) and 1 of those is Canari.

The GitHub repo has the install instructions and if you get any problems raise an Issue Ticket on the repo. Repo is HERE

Have fun!!!

Categories: HoneyMalt, Honeypot, Maltego Tags: ,

Scapy: Heartbleed

So I might be a bit late to the game but I post this code on Twitter a while back but then forgot to blog about so here you go…

I’ve written a little snippet of Python code that uses Scapy to search through a pcap file looking for Heartbleed requests and responses. Due to Scapy not having a layer for TLS connections this have been done by slicing and dicing the RAW layer and pulling out the information we need. A lot of the time that I’m writing Scapy code to analyse pcap files I use Wireshark to look at the packets and match that up in Scapy.

This is the output from Wireshark;

Screen Shot 2014-07-25 at 07.24.03

And this is what Scapy sees;

Raw load='\x18\x03\x02\x00\x03\x01@\x00'

Currently the script just looks for traffic on port 443, but I will tweak it over the next week or two to handle any port.

I’ve removed the port restrictions so it should be protocol agnostic.. (hopefully)..

You can find the code HERE:

To run it, just type

./ [pcapfile]

So for example:

./ heartbleed.pcap

If it finds anything it thinks is a Heartbleed packet you get an output similar to the one below (I’ve changed the IP addresses):

Heartbleed Request: src: dst:
Heartbleed Response: src: dst:
Heartbleed Request: src: dst:
Heartbleed Response: src: dst:
Heartbleed Request: src: dst:
Heartbleed Response: src: dst:


Categories: packets, Python, Scapy

Packet Addict: IPv4 Packets

So I’ve decided to finally getting around to revising (and then taking) my SANS 503 exam (or GCIA). It’s been a while since I’ve spent anytime looking at packets up close and personal so rather than me suffering alone I thought I would blog as I go (plus it’s a good way to remember stuff).

This is the first in a new series called “Packet Addict” (that’s me by the way).

Today we are going to have a look at IPv4 packets, what makes up a IP packet and how you can read these things in their “naked” version (or Hex if you want to be precise). I’m going to be honest you can find all of this on Google, so go ahead or just carry on reading.

DISCLAIMER: If I get something wrong, please tell me as I’m revising for an exam and you wouldn’t want to feel guilty if I fail because you didn’t tell me something was wrong.. now would YOU.

So lets just cover some key terms before we start.

Bit – Smallest unit of a packet, has the value of 0 or 1 (so either on or off).
Nibble – Made up of 4 bits and has is one hexadecimal value.
Byte – This is 8 bits, or 2 nibbles and is 2 hexadecimal values.

So to put some context (we all love context), a TCP flag (covered later but used here for reference) is made up of 1 bit which means it’s either on or off (set or unset).

An example of a nibble (4 bits) would be the IP version number (currently you either get 4 or 6 but you know).

A byte is something like the IP Time to Live (amount of hops before the packet dies a slow and painful death in the darkness that is the internet), working on the basis that it’s 2 hexadecimal values then the maximum it can be (or should be) is 255 (0xFF).

To convert hex to decimal in python you can use this snippet of code:

>>> print int("5", 16)

Hexadecimal is a base 16 numbering system, so the python code takes your value (5 in this case) and prints the int value based on it being base 16.

All make sense?? Awesome lets carry on.

So an IPv4 packet is a minimum of 20 bytes with a maximum of 60 bytes, most IPv4 packets are 20 bytes and I’ve not come across one that is larger than that but I’ve led a settled life.

So in order to work out from hex (that’s hexadecimal in big word speak) what a IPv4 header is really saying (without using Wireshark) you need one of these things below (not mine, found it on the internet)..


This is a graphical representation of an IPv4 header and it’s associated bits (and bytes), so now with the magic of a calculator and Google for when I get stuck, lets make some packet magic.

OK so here is the hex dump of a IPv4 header (taken from a random pcap file).

4500 003c 2d70 4000 4006 d7f6 0a14 9096 0a14 9097

So lets work through the first few bits together. Every IPv4 packet starts (typically) with 4500 which makes it a bit easier to spot when looking at lots of raw packets. So remembering that each hex character is a nibble (2 bits) and using the IPv4 Header image from above we can begin to break out the individual parts of the packet.

Version -> 4 bits (1 hex) = 4
IHL -> 4 bits (1 hex) = 5

Now this is the bit that confuses me, how does a 5 in hex equal 20 bytes?? (the standard length of an IPv4 header)… Google to the rescue..

Brain Meltdown:
The IHL (Internet Header Length) field is 4 bits long and specifies the header length in 32-bit word (4 bytes).

So there are two ways to do this, my way and the right way but mine is quicker. 4 bits for IHL, multiple that by your IHL value (5) and you get 20 bytes.

The correct way is to do it like this:

5 * 32 / 8 = 20 (bytes)

5 is the IHL value, multiple by 32 (32 bit word), divide by 8 (number of bits in a byte).

So confused yet?? I know I am (trying writing a blog about this stuff), but lets continue. Next we will break down each chunk of the packet and then we can convert it back to decimal (i.e. readable format) later. Using the table above and the raw packet I will map each value into the diagram below with the hex values.


So I’ve tried to match the colouring coding across the original IPv4 Header picture a bit further up. Lets work through each value, convert it to decimal and then we should be able to see it make a bit more sense.

IP Version = 4 – Makes sense it’s an IPv4 packet after all
IHL = 5 – So we know that we need to multiple this by 4 to get the number of bytes = 20 bytes
Type of Service = 00 – So this is a result of zero, not uncommon to see in IP headers
Total Length = 003c – If we convert this to decimal we get 60, which is the size of the packet in bytes
IP Identification Number = 2d70 – This converts to 11632, this value is usually used for identifing the group of fragments of a single IP datagram
Flags = 4 – These flags are used for determining if a packet is fragmented or not and each of the 3 flags is a bit value (either 1 or a 0). The flags are:
bit 0: Reserved, must be zero
bit 1: Don’t Fragment (DF)
bit 2: More Fragments (MF)
So if we look at this from a binary point of view (as we are dealing with bits), we would get 0 1 0 0 which is hexadecimal for 4 (Don’t Fragment). If it was a fragmented packet it would be binary of 0 0 1 0 which is hexadecimal of 2.
Fragment Offset = 000 – A value of zero means it’s either the first fragment, but in this case because the Don’t Fragment bit isn’t set then there is no need for an offset.
Time to Live = 40 – This converts back to 64 decimal which is a “standard” TTL for a packet
Protocol = 06 – This converts to 6 decimal which is the protocol number for a TCP packet (the next layer)
Header Checksum = d7f6 - These are used for error checking, this value converts to 55286
Source IP = 0a149096 – So we know that the maximum value for an IPv4 Address is 255, so each octet of the IP address will be 2 hex values seperated by a “.”, so
if we break each down in 2 hex value pairs we get 0a 14 90 96, which converts to
Destination IP = 0a149097 – Same principal as before, we turn this value into 0a 14 90 97 which in turns converts to

So there you go, a fully decoded IPv4 packet.. trust me it was as painful to write as it was for you to read.. :)

More information about the protocol numbers can be found here:

and if you want to see more details about the IPv4 structure you can read this:

Categories: Packet Addict

Gobbler: Eating its way through your pcap files…

So a while back I blogged about the future of sniffMyPackets and how I was looking at building components for it that would make better use of existing systems you may be using (not over tooling things). Gobbler is the first step of that journey and is now available for your amusement..

Gobbler can be found HERE:

Essentially you feed Gobbler a pcap file and tell it how you want the data outputted. The current supported outputs are:

1. Splunk (via TCP)
2. Splunk (via UDP)
3. JSON (just prints to screen at the moment).

The tool is based on Scapy (as always) and once the initial file read is done it’s actually quite quick (well I think it is).

Moving forward I am going to add dumping into databases (mongodb to start with) and Elastic search. On top of this I’m going to start writing protocol parsers for Scapy that aren’t “available”. I’ve found an HTTP one written by @steevebarbeau that is included in Gobbler so you can now get better Scapy/HTTP dumps.

To use with Splunk is easy, first in your Splunk web console create a new TCP or UDP listener (see screenshots below).



NOTE: UDP Listeners are better for any pcap with over 10,000 packets. I’ve had issues with TCP listeners past that point.

Once your Splunk Listener is ready, just “tweak” the gobbler.conf file to meet your needs:

server = ‘localhost’
port = 10000
protocol = ‘udp’

If you created a TCP listener, change the protocol to ‘tcp’ and gobbler will work out the rest for you.

To run gobbler is easy (as it should be), from the gobbler directory run this command:

./ -p [pcapfile] -u [upload type]

I’ve included a 1 packet pcap in the repo so you can straight away test using:

./ -p pcaps/test.pcap -u splunk

or if you want to see the results straight away try the json option:

./ - pcaps/test.pcap -u json

If you load the packets into Splunk, then they will look something like this:


This means if you were to search Splunk for any packet from a Source IP (of your choice) you can just use (test_index is where I am storing them):

index="test_index" "ip_src="

This means you can then use the built-in GeoIP lookup to find out the City etc using this Splunk Search:

index="test_index" | iplocation ip_src

Which would give you back the additional fields so you can do stuff like this:


The benefit of using Gobbler is that I’ve done all the hard work on the formatting, I was going to write a Splunk app but the people at Splunk have been ignoring me so…

I’ve successfully managed to import about 40,000 packets via a UDP listening in just a few minutes, it’s not lightning quick but it’s a start.


PS. A “rebranding” of my core projects will be underway soon so stay tuned for more updates.. :)

Categories: Scapy, sniffMyPackets

sniffmypackets – The Future..

So about a year ago I started work on “sniffMyPackets”, the Maltego transform set (using Canari Framework) for analysing pcap files. I started it for 3 reasons;

1. I’m obsessed with pcap files (I admit it, I’m an addict)
2. I wanted to start writing Python code
3. It sounded like fun

At the end of last year I hit a wall, 68 transforms in with what I think is a pretty cool “flow” to it and I ran out of ideas, direction, steam, whatever you want to call it. So I haven’t really done much with it since.

Then over the last few months, with the Scapy workshop at BSides and a mental kick up the ass I decided that I should give it some love (virtual of cause). The next question was “OK so how do I make it better??”, I had an idea, I thought it was awesome that was going to be the next big release for SmP (sniffMyPackets), but as the weeks have gone on I’m starting to wonder if I”m looking at this wrong. What benefit would this give the people that use it??

Let me try and explain… (bear with me)

People write tools to help other people, to enable them to do the same task over and over again with little effort and to ensure the results are predictable (within a small margin of error). So I had written a tool (SmP), within another tool (Maltego), using another tool (Canari Framework) to enable me to do that. To be honest when you write it down like that it seems a little crazy. In order to use my tool you need another 2 in place already!!

One of the things that bugs me at work, is when people say “Sorry can’t do that, I need this tool and it costs $$$$”, honestly the amount of times I want to kick them in the nuts and say “Open your eyes, we have loads of tools already, just make the most of them”. The reality is that in IT (especially Operations), we like off the shelf tools, because we’re not developers, we don’t code, we just use the same tools as everyone else does.

So why do I tell you this?? Well so my “awesome” idea for SmP was to start integrating pcaps into a database, with a web front end and then rewrite the Maltego transforms to suck out data from the database. I honestly thought that would be cool. Then while researching I discovered there are lots of “tools” out there already. Things like Splunk, LogStash, ElasticSearch, MongoDB (for databases), so why I am retooling something just for the sake of it (other than learning how to do it)??

So from now on I’m going to write tools that let you integrate into existing toolsets, I want you to use my code to get more out of what you already have rather than forcing you to get another toolset to manage and support. You want pcap files in Splunk??? Right I’m going to write you a App for that, you want to use ElasticSearch?? Awesome I’ll do that as well. You want pcap files in json? Easy..

The existing Maltego set for SmP will stay (as I have at least 1 user) but I will rewrite them to plug into existing toolset and suck the same data out, that way you don’t need more tools, you can just get more of the ones you’ve already committed to.

Stay tuned…

PS sorry for any spelling/grammar issues, I’m not wearing my glasses..

Categories: sniffMyPackets

Scapy – Iterating over DNS Responses

So while doing my Scapy Workshop at BSides London the other week, I stated that iterating over DNS response records with Scapy is a bit of a ball ache. Well I will be honest, I was kind of wrong. It’s not that difficult it’s just not that pretty.

This is an example of a DNS response (Answer) packet when running a dig against

Screen Shot 2014-05-12 at 08.14.07

You will see that there are 5 DNSRR layers in the packet, now when you ask Scapy to return the rdata for those layers you will only get the first one (in the Scapy code below pkts[1] refers to the second packet in the pcap which is the response packet).


In order to get the rest, you need to iterate over the additional layers.


In the example above the [5] and [6] are the layer “numbers” so to make that a bit easier to understand.

pkts[1][0] = Ether
pkts[1][1] = IP
pkts[1][2] = UDP
pkts[1][3] = DNS
pkts[1][4] = DNSQR
pkts[1][5-9] = DNSRR

So the code below is a quick way to iterate over the DNS responses by using the ancount field to determine the number of responses and then working backwards through the layers to show all the values.

#!/usr/bin/env python

from scapy.all import *

pcap = 'dns.pcap'
pkts = rdpcap(pcap)

for p in pkts:
if p.haslayer(DNSRR):
a_count = p[DNS].ancount
i = a_count + 4
while i > 4:
print p[0][i].rdata, p[0][i].rrname
i -= 1

So there you go, quick and dirty Scapy/Python code.


Categories: Scapy

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