OPEN SOURCE INTELLIGENCE AND AUTOMATING INTELLIGENCE COLLECTION
October 06 - 07, Melbourne, Australia
ENDS June 30
ENDS August 31
STARTS September 01
Prices are GST inclusive
This training is designed to give concepts of where to look for open source intelligence and a starting point for analysing and reporting on it in the first day, and developing bare bones automated collection/analysis systems on the second day. At the end of this course the attendees will have a basis for tools that they can use in-house to increase their security maturity.
Day 1 - Introduction
- What is Open Source Intelligence?
- Why do we gather intelligence?
- How to set up an intelligence function in your organisation
- Writing intelligence reports
- Establishing covert identities
- Basics of Paterva Casefile/Maltego
- Image metadata
- Basics of IRC and other chat protocols
- Places to look for criminals
Day 2 - Automation
- Introduction to Python
- Helpful frameworks
- Services with APIs
- Looking like a real human
- Web Scraping
- Data storage
- Basic web frontends
- Writing Maltego Transforms
ABOUT THE TRAINER
Kayne Naughton is a technologist and security researcher with 15 years’ experience across the education, government and finance industries.Since 2013 he has been running a start-up, Asymmetric Security, focused on security intelligence for the finance and corporate sector. Kayne is also a volunteer with the Shadowserver Foundation, a US based non-profit dedicated to keeping the internet safe. He is currently focused on researching cyber crime, malware and open source intelligence but draws on experience in system administration, coding and teaching.
- Some Python programming experience, anyone who can follow http://www.codecademy.com/tracks/python should be fine.
- Basic Linux skills (navigating around, installing packages, restarting services). Some SQL skills are helpful.
HARDWARE AND SOFTWARE REQUIREMENTS
A laptop with Windows, Linux or OS X and Administrator privileges. For day two you will need a modern Ubuntu Linux operating system (a virtual machine is recommended) or OS X (for advanced users).