Phone fraud prevention scoring is a critical component of identity verification to prevent account takeover, fake accounts and suspicious payments. It analyses various real-time and historical data points associated with mobile numbers to assess their trustworthiness.

The developer fraud detection documentation for APIs begins when a user submits an action that triggers the scoring engine, including registration, login or payment. A combination of data from submitted fields such as email, phone number and IP address are gathered alongside device intelligence. Then, the score is generated based on rules that assign weighted values to each of the signals or, in the case of whitebox machine learning, the insights. Based on configured thresholds, the score determines whether to approve or decline the action.

Disposable Email Detection for Signups: Protect Platforms from Fake Accounts

Detect fraudsters and bad actors with powerful phone reputation scores backed by the Internet’s most comprehensive fraud blacklist, spanning over 30 million suspicious phone numbers and mobile carriers. IPQS also combines its world class phone number validation with advanced risk analysis, including a deep check for disposable/temporary numbers, known fraudulent virtual numbers and SMS services. In addition, our Dark Data(tm) monitoring tracks database breaches to catch threats that others miss, such as stolen users – enabling you to outperform competitors with faster detection for compromised accounts and business email compromise (BEC).

The digital age offers convenience but comes with inherent risks. Fraudsters are constantly evolving tactics to deceive and bypass traditional identity verification processes, gaining access to sensitive information and accounts. The good news is that, by combining the power of mobile phone number reputation scoring with other proven identity verification measures, organisations can ensure security while minimising friction for legitimate users.