Difference between revisions of "OWASP Hatkit Datafiddler Project"

Revision as of 19:24, 10 April 2011

Main

The Hatkit Datafiddler is a tool for performing analysis of captured http traffic. It currently consists of two main views, one table-based and one tree-based. These views allow the user to study different aspects of the http traffic, with very high degree of configurability. The tool is also meant to be a framework which can utilize existing tools analyze traffic.

It is written in Python with a Qt-based UI and uses a MongoDB database. It has a sister-project, which is the Hatkit Proxy

Getting started

First of all, visit BitBucket download page to check which is the latest release. Then get it:

$ wget https://bitbucket.org/holiman/hatkit-datafiddler/downloads/hatkit_datafiddler-0.5.0.zip
$ unzip hatkit_datafiddler-0.5.0.zip 
$ cd hatkit_datafiddler-0.5.0/
$ python datafiddler.py

Datafiddler will tell you about any missing dependencies with something like this:

Unfortunately, you have the following missing dependencies:
 * python-qt4 : Python bindings for Qt4
 * pymongo : Python drivers for MongoDB

Fetch them via your favourite package manager (on *nix systems. Windows is currently not endorsed). Naturally, you need a MongoDB also. MongoDB is available either from the package repositories or from MongoDB download section.

If all goes well, you should be met by this screen, where you can choose which session to use. Sessions are really just databases, but Datafiddler only lists the databases in your MongoDB which contain a collection called conversations.

Table view

An example of how the table view window can look

Via Settings, you can access the table definitions

Another example, using a raw python expression in the definition for column 3 and "Python" as column title

The tabledata settings also has filters

The filters can be arbitrary javascript expressions

If you select Settings, you will be met by the settings-window. On the left side, there are variables. For each object which is fetched from the database, these expressions determines exactly what parts are fetched and places these parts, into python variables with the names v0 and onward.

Tip: The section below is pretty technical. You don't have to know python or javascript to use this tool, Datafiddler comes with predefined expressions and views that you can use. When you learn the ropes a bit, you can just make modifications to these and you should be fine. More predefined views are coming.

For example, a database object stored by Hatkit Proxy always contain these fields:

request
response

(For more details about storage format, see OWASP_Hatkit_Proxy_Project#tab=Storage Storage If the request part of a database object is loaded into v0, it means that v0 will contain python dictionary containing everything that concerns the request. E.g. The python expression v0['method'] will be the request verb (GET/POST/FOO),while the expression v0['headers'] will be another python dictionary containing the request headers.

This means that this object introspection can be performed either inside the database - which is using javascript, or in the application itself, using python. Example:

v0 = request.headers.Host === (v0 = request)['headers']['Host]

Worth mentioning though, is that accessing a non-existant attribute (or member) in javascripts returns undefined:

var x = {};
alert(x.foo); // alerts "undefined"
alert(x.foo.bar); // yields exception

While in python, a similar operation yields exception sooner:

>>> x={}
>>> x["foo"]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: 'foo'

Also, it makes sense to fetch only what is required for the kind of view that you are interested in. If you are analysing session tokens, it is less resource intensive on your machine not to fetch the html content of each response.

What to show: Database Filtering

Todo

How to show it

Todo

Transformers

Todo

Aggregation

Todo

Database Filtering

Todo

Development

Todo

Getting the source code

Todo

Project About

PROJECT INFO What does this OWASP project offer you?

RELEASE(S) INFO What releases are available for this project?

what is this project? Name: OWASP Hatkit Datafiddler Project (home page) Purpose: The Datafiddler is a tool for performing advanced analysis of http traffic. It currently consists of two main views, one table-based and one tree-based. These views allow the user to study different aspects of the http traffic, with very high degree of configurability. The tool is also meant to be a framework which can utilize existing tools to analyze traffic post mortem (or real-time). Built in Python/Qt + MongoDB. License: GNU General Public License v3 who is working on this project? Project Leader(s): Martin Holst Swende @ how can you learn more? Project Pamphlet: Not Yet Created Project Presentation: View Mailing list: Mailing List Archives Project Roadmap: View Main links: Project at BitBucket Issue tracker OWASP Hatkit Proxy Project Key Contacts Contact Martin Holst Swende @ to contribute to this project Contact Martin Holst Swende @ to review or sponsor this project

current release Hatkit Fiddler v 0.5.0 - April 9 2011 - (download) Release description: This tool allows you to analyze data which has been catpured into a MongoDB. You can view the data in table-mode (with dynamically evaluated column-definitions which can reach into html, transform values etc), aggregate-mode (performs advanced data aggregation, showing different characteristics on the data depeneding on how you define (or use the pre-defined) javascript aggregators, which are sent right into MongoDB). It also has a third-party-app replay functionality, to let w3af or ratproxy do their thing and analyze the data for you. Requirements: Python, Python-qt bindings, Qt4, MongoDB, Python Mongodb drivers. Rating: Not Reviewed - Assessment Details last reviewed release Not Yet Reviewed other releases Hatkit Fiddler v 0.5.0