Panel – Deep Dive into the Dark Web

Operational Resources
Dark Web
Training & Development
Cryptocurrencies
Bitcoin
Jane Lee - Sift, Ralf Hornberger - Arvato Financial Solutions, Tobias Wieloch - Europol
May 12, 2021
Presentations

Tobias Wieloch of Europol’s Cyber Crime Centre , Jane Lee of Sift, and Ralf Hornberger of Arvato Financial Solutions take a deep dive into the troubled waters of the dark web, and explore illegitimate credit card marketplaces, current trends in criminal activity, and the cryptocurrencies that power those activities. Other topics covered include the many successful law enforcement initiatives designed to combat these criminals, data points breaking down criminal activity on the dark web, and what it takes for a vendor to be targeted by law enforcement.

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Jun 22, 2022
eCommerce Fraud: How Fraudsters Use the Dark Web To ‘Warm Up the Shop’ and Fool Rules-Based Anti-Fraud Systems

With e-Commerce booming, merchants are increasingly turning to fraud intelligence companies to prevent fraudsters impacting their growth. While it’s true anti-fraud systems are becoming more sophisticated at detecting fraudsters - rules-based systems can be fooled. With all the tools and knowledge available on the dark web, even mid-level fraudsters can bypass security measures. All they need to do is mimic original account holders of stolen accounts and credit card details in a process called ‘warming up the shop’.
 
It all sounds too easy. And it can be. With stolen credit card details, e-Commerce accounts and the tools needed to attempt account takeovers (malware etc.) readily available for purchase on dark web marketplaces, half the work of the fraudster is already accomplished. Aside from patience, some additional tools to spoof digital fingerprints (unique identifiers of a user’s device setup, IP address, geo location etc.) and even legitimate browser cookie sessions are all available to buy online. One of the main tools used are anti-detect browsers, a fraudster tool resembling a regular internet browser, but packed with features to mask a user’s true identity and location, mimicking a regular user’s browsing session.
 
We aim to present to you how the process of ‘warming up the shop’ looks from start to finish, showing you some of the fraud tools available on the dark web to aid fraud attempts - you’ll be surprised how sleek and professional they appear, even giving legitimate companies' marketing campaigns a run for their money!
 
Imitation is never perfect. The perfect solution to prevent a successful ‘warm up’ attempt comes in the form of truly knowing your users (KYU) and understanding their interactions and behaviors. Advanced fraud solutions powered by machine learning models can effectively weed out fraudsters before they’ve had a chance to warm up. Join us to discover how.

Learning Objectives:

  1. To understand the long process of fraudsters ‘warming up the shop’ to bypass rules-based anti-fraud systems by acting as naturally as a regular customer as possible.
  2. Be aware of the tools and knowledge available on the dark web that allow fraudsters to fool rule-based fraud systems.
  3. How KYU Advanced fraud solutions powered by machine learning (ML) models can help you understand every user behavior and interaction - and prevent fraud from happening.
Jun 07, 2022
MRC Certification Overview

Tracy Kobeda Brown is an experienced start-up and corporate executive with expertise in technology strategy, product design, engagement, video gaming, and information security. In her current role as the Vice President of Programs and Technology for the Merchant Risk Council, she is overseeing the programs and technology team tasked with delivering content, education, and tools to help the world’s best fraud and payment professionals battle fraud for their companies. Prior to her role at the Merchant Risk Council, she held various C-level roles at corporate and start-up companies. She was the Head of Product for Fragomen, Lockerz, and the CEO and founder of Evil Genius Designs. Prior to that, she led the team that created American Eagle Outfitters website, ae.com, where she started her career in fraud and payments, eventually becoming the Head of Information Security (CISO).

She earned her Master’s degree from Carnegie Mellon in Entertainment Technology and her BS in Economics from The Wharton School at the University of Pennsylvania in Decision Sciences and Risk Management. She has served on the board of the National Cyber-Forensics and Training Alliance (NCFTA), Co-Chairperson of the Merchant Risk Council at its inception, and as an Executive/Entrepreneur in Residence for various universities and accelerators.

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