DataVisor Fraud Index Report: Q1 2018

Special Report

Complimentary Resource

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
About DataVisor

Bots attacks cost companies roughly $80 billion a year. How do they work, and how can you stop them? In our latest ebook, DataVisor CTO and co-founder, Fang Yu, explains why coordinated bot attacks are so difficult to detect and prevent, and shares proactive strategies for protecting your organization.