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Maltego Essentials

The official Maltego tutorial series for beginners.

About Maltego Essentials 🔗︎

Maltego Essentials is the official video tutorial series that guides you through the basics of Maltego to help you kickstart your investigations. Watch these 10 bite-sized tutorials and quickly learn about the most important Maltego features now!

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Tutorial Overview 🔗︎

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Maltego Essentials 1: Introducing our Official Maltego Video Tutorial Series 🔗︎

In this video, we give you an overview of the topics that we will be covering in our official tutorial series, Maltego Essentials.

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Maltego Essentials 2: Editions of Maltego 🔗︎

In this video, we introduce the different editions of the Maltego Desktop Client as well as their capabilities. Whether you are a novice investigator or an experienced team leader, you will be able to find the edition that best suits your needs.

Update: We released the new Maltego One edition, available within our Maltego for Pro and Maltego for Enterprises subscription plans. Read more about the editions here: https://www.maltego.com/maltego-desktop-client-versions/

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Maltego Essentials 3: How to Install and Activate Maltego 🔗︎

In this tutorial, we walk you through the initial steps involved in setting up your Maltego Desktop Client, from installing the Maltego Desktop Client, registering a Maltego account, to activating your license.

Update: We released the new Maltego One edition, available within our Maltego for Pro and Maltego for Enterprises subscription plans. Read more about the editions here: https://www.maltego.com/maltego-desktop-client-versions/

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Maltego Essentials 4: Running Your First Transform 🔗︎

How do you mine, merge and map data in Maltego? By using the central elements of Maltego called “Transforms”. In this tutorial, we explain what Transforms are and demonstrate how you query data from a data source by running Transforms. Try following the steps and run your first Transform with this tutorial!

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Maltego Essentials 5: How to Navigate your Graph 🔗︎

In this tutorial, we demonstrate how to navigate through a Maltego graph: Pan across the window, zoom in and zoom out, and work your way through various Entity and link selection methods.

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Maltego Essentials 6: Different Layouts and Views of a Maltego Graph 🔗︎

Maltego allows users to change the layouts of a graph to present data relationships in various structures as well as visualize the weight of each data point based on relevance by adjusting the view. In this tutorial, we show you the different layout and view options in Maltego and how they can be used to enhance various investigative contexts.

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Maltego Essentials 7: What You Should Know About Entities in an Investigation 🔗︎

In Maltego, each Entity returned by a Transform carries valuable detailed information about the data lead or query result. In this tutorial, we show where you can find these details and how you can “read” an Entity with a small investigation on Wikipedia edits to a COVID-19 related article.

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Maltego Essentials 8: Notes, Bookmarks & Attachments 🔗︎

After integrating all sorts of data into Maltego and visualizing it in a graph, investigators need to analyze the data relationships and enrich them with context. Features like notes, bookmarks, and attachment help you to easily jot down insight and track progress visually. In this tutorial, we show you how these features can greatly support and simplify complex investigations.

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Maltego Essentials 9: What Are Collection Nodes 🔗︎

Collection nodes come in handy when a large number of the same type of Entities are returned by a Transform. In this tutorial, we explain how you can group the same type of Entities into a collection node automatically, and how you can ungroup them from a collection.

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Maltego Essentials 10: How to Import Data into Maltego 🔗︎

How can one import external data such as a csv file into Maltego? In this tutorial, we walk you through the basic steps of importing an external database into Maltego and configuring each data column to the correct Entity. In this way, you can conduct investigations starting with your own or locally acquired data.

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