It is increasingly difficult to obtain customers, brands have launched a variety of welfare activities to attract users. There are always some “users” can find the loophole, from the unscrupulous pull wool, and let the real consumer and discount missed.
In recent years, news of fleece crimes is not uncommon. Before there is a lot of spelling mistake will be 100 yuan coupons set into no threshold, was ten million yuan; Later, the VIP recharging activity amount of a video platform member was set incorrectly, and the monthly membership could be opened only by paying 0.2 yuan. As a result, 390,000 users recharged successfully and the platform suffered heavy losses.
Today, MobTech developers will tell you how to easily identify the wool party, and how to prevent the invasion of the black gray industry on the mobile side of the Internet.
Five abnormal behavior tracks easily identify the wool party identity
Usually on the market, we see these “wool party”, xiaobo roughly divides them into five types, including brush single class, task class, cattle class, missing research class, hacker class.
They are in any corner of the black and grey zone of the Internet, and their real identity can be identified through the following five dimensions of behavior trajectory:
False identity information: the name, id card number, mobile phone number and bank card number filled in during registration do not match after verification; Abnormal social behavior: in order to grasp first-hand wool information, the low and intermediate wool party often join the QQ group or browse the relevant wool gathering forum; Frequent App installation and unloading: while wool is collected on multiple platforms, active apps need to be installed frequently, and after being collected, they will be quickly unloaded, and the average App retention time will not exceed one month; Abnormal transaction behavior of bank card: the bank card has no normal consumption data, and frequently trades with merchants on multiple active platforms, and opens several cards at the same time; Abnormal state of mobile phone number: virtual mobile phone number can not refer to the home, overseas card often in the territory of transaction and so on.
Delve into the fleece party’s criminal means to eliminate the source of fraud
In order to leave a message or place an order on the platform, users must register with their mobile phone number. However, for the Woolen party, the identification required to register the SIM card makes it difficult to register. In view of this problem, there are two methods of wool harvesting in the market: real equipment wool harvesting and using simulator wool harvesting.
Using the real machine equipment to pull wool, we can eliminate the abnormal behavior of the wool party on the mobile device, and the simulator counterfeit behavior, now can be identified by the anti-wool terebinization tool, to eliminate the attack of fake powder, avoid the mobile terminal platform to avoid unnecessary profit and cost.
Identification solution from registration initial hand rip black grey molecule intrusions
So, how does the mobile end work with the wool ternizer? Where do you start? It is not difficult to see that the core of the Wool Party’s crime is to start with the mobile phone number, and use the corresponding technical means to filter out the mobile phone number of the Wool Party, so that the wool party can be prevented in advance at the registration entrance.
Take MobTech, the world’s leading data intelligent technology platform, for example, its developer service launches App user operation [Identification solution], which can be used at the enterprise mobile terminal entrance. When users enter the platform for the first time, the MobTech panoramic big data detection is mainly used, supplemented by real-time monitoring of users’ behavior changes when using the App online. Help enterprises to know each of your users in advance, and the quality of users grading planning, so as to better operation and transformation in the future.
The App only needs the foolproof integration of the [Second Test] SDK developed by MobTech developers. When users use the minimalist one-click login method, the background can identify the authenticity and reliability of users based on user behavior model + comprehensive data analysis and identification, and feedback the whitelist, grey list and blacklist data to the operators.
At the same time, it synchronously detects the credit of the communication equipment used by users. With the support of OAID/IDFA/ device fingerprint and MobTech big data, it identifies the credit rating of the equipment used by registered users, whether there is fraud risk and other information, outputs the credit score of the equipment in real time, and helps the operator to identify the identity of the fleocer party in various ways.
Write at the end, as the technical means of black grey production are becoming stronger and stronger, the form is increasingly diversified, enterprises also need to establish a more scientific and systematic security mechanism, widely use big data analysis and other means to find and solve problems, to prevent unnecessary losses caused by the intrusion of black grey production. MobTech developers will continue to work and protect the entire life cycle of the App, empowering enterprise users and developers with personalized, minimalist, and practical solutions.