MeID - Anti-Sybil Suite

Anti-Sybil SDK - A rapid and privacy-preserving solution to combat bot and sybil attacks by using the RedirectURL as the src-attribute value for the iFrame.

Use Case

When you need to protect a website or application from automated attacks, you can use anti-bot mechanisms. These attacks can result in malicious behavior, such as spamming, data theft, or network disruption. Anti-bot technology is designed to identify and block these attacks to ensure that only real human users can access your website or application.

In this case, users are required to undergo facial liveliness detection to prove that they are real human users. This detection requires users to perform specific actions or expressions in front of a camera to prove that they are genuine humans and not automated programs. This technology can help prevent automated attacks and fraud, and increase the security and reliability of your website or application.


zkMe-Widget MeID Process

Step 1: Enter the service authorization Widget page; the user confirms and goes to the next step

Step 2: E-mail verification login / Wallet address login

Step 3: Verify that the user has authorized MeID

Step 4: Based on the outcomes of the initiated query, a determination is made regarding whether to commence the authentication process for the specified user.


Interaction Instructions


Integration via NPM

You can refer to @zkmelabs/widget and please make sure to use the latest version.

Installation

Getting Started

Step 1. Import styles

Step 2. Create a new ZkMeWidget instance

NOTE: The specific configuration for the "option" parameter is shown in the table below

Param
Type
Description

options.theme

Theme?

"auto", "light" or "dark", default "auto".

options.locale

Language?

"en" or "zh-hk", default "en".

Step 3. Listen to the meidFinished widget event to detect when the user has completed the MeID process

Step 4. Launch the zkMe widget and it will be displayed in the center of your webpage


Helper functions

verifyMeidWithZkMeServices()

Before launching the widget, you should check the MeID status of the user and launch the widget when the check result is false.

Param
Type
Description

appId

string

This parameter means the same thing as "mchNo"

userAccount

string

The userAccount info (such as wallet address, email, phone number, or unique identifier) must match the format of accounts returned by provider.getUserAccounts.

How to Generate an Access Token with API_KEY

To use your API_KEY to obtain an accessToken, you will need to make a specific HTTP request. Here's how you can do it:

a. Endpoint: Send a POST request to the token exchange endpoint.

Please remember to modify the Content-Type in the request header to application/json. Failing to do so might result in a Parameter Error response.

b. Request Body:

Parameter Name
Required
Type
Desc

apiKey

True

string

The API_KEY provided by zkMe.

appId

True

string

A unique identifier (mchNo) to DApp provided by zkMe.

apiModePermission

True

number

0 - email login 1 - wallet address login

lv

True

number

The parameter must be passed and always be 2.

API_KEYcan be found in the Configuration section of the Integration on the zkMe Dashboard.

c. Response

Success
Exception (AppId and API_KEY not matched)
Exception (Parameter Error)
Exception (System Error)

ZkMeWidget instance methods

launch()

Launch the zkMe widget and it will be displayed in the center of your webpage.

on()

Listen to zkMe widget events.

hide()

Hide the zkMe widget.

destroy()

Remove the message event listener registered by the zkMe widget from the window and destroy the DOM node.


Response & Exceptions

Success

If the user has passed the liveness and uniqueness verification, the following interface will be seen.

Note:

The finished callback function will be fired after the interface is displayed.

Camera Permission Denied Error

The following screen will be displayed for possible issues such as the user denying browser camera access or not having a camera on the device.

Face Recognition Error

The following screen will be displayed for possible problems such as eyes closed detected, art mask detected and etc.

Existing Faceprint Error

The following screen will be displayed for the possible problem that the user’s faceprint is similar to another user’s.

Faceprint Recognition Server Error

The following screen will be displayed when something goes wrong on the faceprint recognition server.

Unknown Error

The following screen will be displayed when something goes wrong not listed above.