How to prevent and control Fortunton fraud?

Based on big data risk control services and core technologies such as fingerprints and spatio-temporal commands of the underlying devices, specific protection can be as follows:

Account protection

In view of the potential account security risks in the process of login and registration, monitor fraud and help enterprises reduce financial losses or brand losses caused by account security;

Transaction protection

Through the comprehensive modeling and analysis of multi-dimensional data such as transaction time, IP, equipment, mobile phone number, address, product characteristics and transaction behavior characteristics, customers can effectively identify risks such as false transactions, swiping bills, cashing out, and malicious ordering.

Payment protection

Help the platform to monitor abnormal risks in payment links such as transfer and cash withdrawal in real time.

Tongdun technology

Reduce the loss of platform funds and policy supervision risks caused by online fraud;

Sms channel protection

Prevent the important API interface of the platform from being attacked by malicious competitors through technical means, such as sending SMS verification code interface, resulting in the loss of platform funds and harassing ordinary mobile phone users;

Mobile anti-cheating

Help the platform to identify malicious behaviors such as false traffic, brushing, bonus hunter and spam on the mobile terminal, and ensure the promotion effect and orderly operation of the platform;

Anti-crawling cheating

Help the platform identify the requests of crawler scripts from normal user access, filter suspicious network requests, reduce the risk of malicious use of valuable information and malicious occupation of platform network resources, and protect the interests of the platform.

Marketing anti-cheating

Based on Tongdun Technology's equipment fingerprint technology and customized risk control model, it helps the platform to monitor and identify all kinds of marketing fraud, including malicious grabbing of red packets, scalping, false spike, cheating clicks and so on, by taking advantage of cross-platform data. , thus filtering suspicious traffic, improving marketing effect and protecting the interests of platform users;

Anti-spam information

Help websites identify and filter malicious behaviors such as spam registration, malicious irrigation, illegal login, etc., purify website content, maintain website order, and protect website information security and reputation.