Fraud detection solution
FraudLabs Pro is a sophisticated payment fraud detection solution to protect merchant from fraud losses and chargebacks.
Key Features
Discover how FraudLabs Pro detect fraud and start reducing your fraud losses today with FraudLabs Pro.
FraudLabs Pro Score
Custom Validation Rules
Free 500 Validations Per Month
Global Merchant Network
Machine Learning Fraud Detection
E-commerce Platforms Integration
Notification of Fraud Orders
Blacklist Validation
Type of Fraud Validation
FraudLabs Pro performs thorough validations on order transactions to effectively detect malicious fraud. Below are the key types of fraud validations performed:
- IP address validation using IP2Location
- Anonymous proxy validation using IP2Proxy
- Billing & shipping address validation
- Ship/Freight forwarder address validation
- User account validation
- Email address validation using MailboxValidator
- Disposable phone number validation
- Free and disposable email validation
- Credit card validation
- Transaction validation
- Device validation
- Blacklist validation
Blacklist Validation
FraudLabs Pro maintains a large pool of blacklist data, including IP addresses, email addresses, and devices. This data is collected from our extensive global merchant network in real-time. And, this blacklist data has been proven to effectively detect similar fraud occurring in other merchants.
Last updated: 01 October, 2023
2,903,444
IP Address Reported
408,669
Email Address Reported
53,983
Device Reported
Machine Learning
FraudLabs Pro learns fraud patterns based on your transaction history and your approval, rejection, and blacklisting actions. This information is crucial for enabling FraudLabs Pro to learn new fraud patterns using machine learning. This has further improved the fraud prediction and enhanced the detection.
What is FraudLabs Pro Fraud Detection
The FraudLabs Pro fraud detection solution is designed to identify and prevent fraudulent activities in e-commerce.
These solutions leverage advanced technologies, data analysis, and machine learning algorithms to detect patterns and anomalies that might indicate fraudulent behavior.
As transactions occur, the fraud detection system evaluates them in real time. Each transaction is assigned fraud score where merchants can quickly decide on their next action based on the fraud score and the recommended action, such as to approve, review, or reject the order. An insight report is also available in the merchant area for further analysis.
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