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An in-depth analysis of WhatsApp's risk control logic

Time:2023-10-27 18:27:46  Source:www.crownsoft007.com

When dismantling the wind control mechanism of WhatsApp blocking, we need to look at three major aspects: environment, behavior, and feedback. Next let cross-border king to explain to you what branches of this content are respectively.


First, the environmental factors

Environment refers to external factors that are not directly related to the account but affect the account. For WhatsApp, it includes login device, node IP, country of belonging, and so on. Improper environment settings may lead to the account being blocked at the time of registration, or blocked during operations such as adding friends.

1. Device factor: Registration through API or loopholes is no longer applicable for group sending operations. Only WhatsApp accounts registered through real cell phones are viable. Device blacklisting issues may cause a delay of 7 days to a month in registration. 2.

2. IP factor: Using a shared IP or low-cost VPN may lead to account downgrade or blocking. It is recommended to use a dedicated IP or residential ISP line to ensure IP purity and to keep the same country as your phone card.

3. Contacts factor: WhatsApp social network is based on contacts, so you need to import your real WhatsApp-enabled cell phone number into your contacts before registering.

4. Mobile phone card factor: The use of virtual cards or second-hand cards to register may increase the risk of blocking the number, because these cards may have registered for WhatsApp several times.

II. Behavioral Factors

WhatsApp has a strong risk control system that accurately identifies non-human behavioral patterns. On WhatsApp, creating fake data is difficult to be accepted by the platform, as the damage it does to the platform is much greater than the increase in registrations it may bring.

1. Machine simulated behavior: It is difficult to avoid blocking a user for machine behavior such as sending messages to a large number of strangers, sending regularly, and importing a large number of numbers.

2. abnormal user characteristics: adding friends immediately after registration, sending messages to strangers in different countries, and other abnormal behavior triggers different levels of wind control response.

Feedback mechanism

Feedback is divided into positive and negative feedback, with the focus on negative feedback. When sending messages to non-two-way address book contacts for the first time, the other party can easily pull the blacklist or report and decide the fate of the account. User feedback options include adding to blacklist, reporting or adding to address book.

WhatsApp Risk Control Levels

1. Beginning: Risk control is based on user feedback, and user reports may result in account risk. 2. Intermediate: Risk control is based on identifying and analyzing what is going on in the account.

2. Intermediate stage: By identifying the characteristics of fraudulent behavior, the system provides early alerts or mild penalties. 3.

3. Advanced stage: The team fights against black and gray production, judges account relevance based on user environment, behavior and feedback, and takes stricter control measures. 4.

4. machine learning stage: machine learning-based user behavior risk control system, combined with cross-platform data to build an intelligent risk control system.

WhatsApp's risk control logic is based on environment, behavior and feedback, which interact with each other to combat spam accounts. Operators should treat potential customers as real users and conduct personalized communication, while avoiding batch operation to avoid risk of risk control.



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