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DataVisor Fraud Index Report: Q1 2018

The DataVisor Fraud Index Report provides unprecedented insight into the latest attack trends and attack techniques that bad actors use to conduct malicious activities and evade detection. The research is based on attacks automatically detected by the DataVisor UML Engine between January and March of 2018 from analyzing 40 billion application-level events and 680 million user accounts.

Key Findings Include:

  1. 50% increase in fraudulent accounts over the previous quarter
  2. 28% of fraudulent accounts appear to originate from Mac OS X, likely spoofed by faking connection headers.
  3. Most financial fraud, including fraudulent account openings and transactions, originate from North America and Western Europe
  4. Fraudulent account armies targeting social platforms are 16x larger than those targeting financial services, averaging 103 accounts per attack campaign

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