Mass Registration

Catch armies of fake accounts at time of creation

The phrase, “Prevention is the best medicine” also applies to protecting your service. Most attack campaigns–whether it’s credit card fraud, spam, or money laundering–start with a massive registration of accounts that are then used to conduct the downstream damage. Why? These attacks only become economically viable at large enough scale. Using an unsupervised machine learning approach, DataVisor is highly effective at stopping mass fake account creation, preventing downstream damage from occurring.

Request Trial

Common Attack Techniques

Content scraping

Attackers steal photos and content/reviews from other 3rd party sites to appear authentic to content security measures

Device obfuscation

Fraudsters utilize mobile device flashing, virtual machines and scripts to appear as though the registrations are coming from different devices

Identity theft

Even worse than content scraping, attackers could steal actual identities to appear authentic

IP obfuscation

Fraudsters utilize proxies, VPN, or cloud-hosting services to hide their tracks from IP blacklists and rules-based systems

DataVisor Online Fraud Report

Learn about the techniques fraudsters use to evade detection

Download the report

Why Unsupervised Machine Learning Works

There are many challenges when it comes to mass registration detection. For one, the amount of data is limited at registration. Further, falsely rejecting a real customer at account opening can prevent a legitimate person from signing up with the service. DataVisor’s unsupervised approach looks at a new registration in the context of millions of recent registrations, analyzing hundreds of distinct data fields, in order to determine if there are any suspicious similarities between the newly registered accounts. Because of this, DataVisor is able to adapt as fraudsters change their attack techniques, keeping your online service free of fake accounts and the downstream havoc they attempt to conduct.

Unparalleled accuracy and coverage

Identify all the fake user accounts in an attack campaign

Unknown threat protection

Uncover the latest attack patterns used by fraudsters without any training data or labels

Early detection

Detect malicious intent at point of registration, preventing downstream damage

Key Features

User linkage visualization

Show linkage and shared attributes among malicious accounts to visualize the entire crime ring and reduce manual review time by 800%

User investigative console

Investigate bad registrations, create detailed forensic reports and see threat trends with campaign visualizations

Real-time detection

Integrate using our real-time Results API to alert you on compromised accounts before they can conduct any damage

Account linkage view to discover hidden links between malicious accounts

Getting Started

Want to get started and find out how DataVisor can help find malicious accounts hiding inside your online service? Request a security assessment today!

Request Trial