OSINT course by Molfar

How to find information?

There are two approaches ⁠— OSINT and HUMINT. OSINT is about using data from opened sources without contacting people. Using HUMINT, we communicate with people connected with our research goal. We will discuss more HUMINT details in the social engineering lecture.

Why is it important?

We collect information about people or companies. We search for potential risks and trigger points for reports presenting customers' interests. These lectures relate to the collection of information, particularly about people or companies.

What are the kinds of risks?

Firstly, risk management is essential. Hiring an employee, everything might be nice. But then it turns out that this person supports radical political and religious movements. If we miss these things during the job interviews, we may face significant PR risks in the future.

In this video, we will discuss the main characteristics of information, we will learn how to check the primary sources of the information and will try to understand why we need to look at the information from different perspectives.

In this lecture, you will learn how to work with anonymity tools, features of working with social networks, plugins, services and other necessary tools for this.

You can download:

1. practical tasks that we created based on our own cases;

2. software that helps us in our work and we give it to you accordingly.

In this lecture, we will talk in detail about the features of searching for the information using Google: usage of the correct wording, search operators, checking of archived versions of the pages, and much more.

We have completed a pervasive topic of finding contacts and social networks. The purpose of this lecture is to learn how to find information on the right person through: mail, phone number, social networks, legal entities, addresses, and nicknames in Skype or Telegram. We will analyze search applications, bots, aggregators, and other valuable tools to help you find all the information you need.

Using the methods of information search from this lecture, we will be able to determine the links between companies and projects, find the owners of websites and services, as well as to find information hidden from average users on domains.

To understand this topic, you need to start with basic concepts.

Analysis of images, videos and geolocations. Using real cases, we will analyze how to properly work with photos and videos, what software to use and how to get additional information hidden from the view. We will consider the principles of searching for photos and videos location, and tasks that can be solved in such a way.

A lecture on metadata. Which files contain them, why do you need to analyze metadata, where to find them and which software to use for analysis. In this lecture, we will analyze everything you need to know about metadata for the successful work of an investigator.

In this lecture we will learn the principles of searching registers in different countries. On the example of registries from several countries we will understand what information can be obtained from registries, how to collect and analyze it correctly. We will also learn how to find the registries necessary for the investigation and make decisions on using or not the data from paid registries.

We will look at the most common registries: Ukraine, UK, USA, Spain and others. We will analyze how to work with large data sets, which software is best for this, and what to do if the data is restricted.

Maltego searches for the information on the Internet, collects it in a plot, and builds logical links between the data points. In practice, we will analyze step by step the basic principles of working with Maltego. Everything you need for a quick start and strengthening your skills in the future.

In this lecture we will learn how to collect typical information using automatic parser applications. We will analyze popular and easy-to-use parsers. We will consider situations in which parsing of the information is needed, consider legal and technical aspects of automatic data collection.

Final lecture: summarizing the course, interesting stories from real investigations, tips and tricks from experienced investigators and motivation to improve your skills.