@privateid/cryptonets-web-sdk-test

CryptoNets WebAssembly SDK

Powered by Private Identity®
https://private.id

CryptoNets™ Wasm Module Implementation is an npm package that uses the W3C WebAssembly to perform 1:N fully homomorphically encrypted (FHE) face recognition.

BENEFITS

• Face biometric capture
• Encrypted face recognition every 200ms
• 1:n biometric match in 60ms constant time
• Human age estimation
• Unlimited users (unlimited gallery size)
• Fair, accurate and unbiased
• Preserves user privacy with neural network cryptography + fully homomorphic encryption (CryptoNets)
• IEEE 2410 Standard for Biometric Privacy, ISO 27001, ISO 9001 compliant
• Exempt from GDPR, CCPA, BIPA, and HIPAA privacy law obligations
• Predicts in 50ms with or without network using local storage

BUILD

• Verified Identity
• Web Sign-in
• Payments
• Phone Unlock
• Ticketless Access Control
• Account Recovery
• Face CAPTCHA

Prerequisite

Sign up on the waitlist on https://private.id to obtain your apiKey.

Installation

npm install @privateid/cryptonets-web-sdk

Copy the necessary dependencies to the public folder of your app

"prestart": "cp -R ./node_modules/@privateid/cryptonets-web-sdk/wasm public/&& cp -R ./node_modules/@privateid/cryptonets-web-sdk/workers public/",
"prebuild": "cp -R ./node_modules/@privateid/cryptonets-web-sdk/wasm public/ && cp -R ./node_modules/@privateid/cryptonets-web-sdk/workers public/"

Add the necessary environment variables on the .env file in the root of your project

SKIP_PREFLIGHT_CHECK=true
REACT_APP_API_URL= 
REACT_APP_API_KEY=

Optional environment variable

REACT_APP_API_ORCHESTRATION=
REACT_APP_SET_CACHE= true | false (Used for predict caching)

Load the WASM Module

The first step is to load and initialize the wasm module and clear the content of the local database.

import { loadPrivIdModule, clearDB } from '@privateid/cryptonets-web-sdk';

const isSupported = await loadPrivIdModule();
clearDB();

In case of .env file (evironment variable) does not work for you we have added a support to set the variables on load.

import { loadPrivIdModule } from '@privateid/cryptonets-web-sdk';

const isSupported =await loadPrivIdModule(
  api_url, 
  api_key,
  api_orchestration_url,
  wasm_url,
  wasm_module,
);

Status	Description
api_url	Equivalent to env variable REACT_APP_API_URL
api_key	Equivalent to env variable REACT_APP_API_KEY
api_orchestration_url	Equivalent to env variable REACT_APP_API_ORCHESTRATION_URL
wasm_url	Please set it the same with api_url or REACT_APP_API_URL
wasm_module	face_mask , face , voice

The loadPrivIdModule() function returns an object to check if the device is supporting WASM and WebRTC.

{
    support: boolean,
    message: string,
}

Load Antispoofing Module

By default loading of liveness check modules are loaded only when needed. But in any case that you would want to load it initially you can use loadAntiSpoofModules.

import { loadAntiSpoofModules } from '@privateid/cryptonets-web-sdk';

    await loadAntiSpoofModules();

Open or switch camera or close camera

The first step is to load and initialize the wasm module.

Open the camera

To open user camera use the openCamera function with element id of the video tag in the DOM

import { openCamera } from '@privateid/cryptonets-web-sdk';

const { devices, faceMode } = await openCamera(element);

it returns list of the available video devices.

Switch to another camera

To switch to another media device use the switchCamera function with the ID of the device to be used

import { switchCamera } from '@privateid/cryptonets-web-sdk';

switchCamera(deviceID);

for the mobile phone we can select whether it's front or back camera for this we pass 'front' or 'back' to the switch function

import { switchCamera } from '@privateid/cryptonets-web-sdk';

switchCamera('front');

Close the camera

To close user camera use the closeCamera function with element id of the video tag in the DOM.

import { closeCamera } from '@privateid/cryptonets-web-sdk';

closeCamera(element); // Will specifically look for the element id and will close that camera
closeCamera(); // By default will close opened camera using openCamera

isValid

Live demo: [https://age.devel.private.id]

isValid only exercises the is_valid() call and does not find identity. The function detects if there is a valid face in the camera view or in an ImageData Array.

isValid accepts two parameters.

• callback: callback function to perform actions.
• ImageData: array of an image data to perform the face captcha on (optional)

import { isValid } from '@privateid/cryptonets-web-sdk';

const {imageData} = isValid(callback, imageData);

Returned data sample in callback function:

{
    "status": "WASM_RESPONSE",
    "returnValue": {
        "error": 0,
        "faces": [
            {
                "status": 0,
                "box": {
                    "conf_score": 0.9809297323226929,
                    "top_left": {
                        "x": 843.5,
                        "y": 723.5
                    },
                    "bottom_right": {
                        "x": 1244.5,
                        "y": 1124.5
                    },
                    "eye_left": {
                        "x": 968.5,
                        "y": 788.5
                    },
                    "eye_right": {
                        "x": 1146,
                        "y": 790.5
                    }
                }
            }
        ]
    }
}

Face CAPTCHA returns 17 possible coded results, as follows.

Property	Description
-1	No Face
0	Valid Biometric
1	Image Spoof
2	Video Spoof
3	Too close
4	Too far away
5	Too far to right
6	Too far to left
7	Too far up
8	Too far down
9	Too blurry
10	Glasses on
11	Mask on
12	Chin too far left
13	Chin too far right
14	Chin too far up
15	Chin too far down
16	Too dark
17	Too bright

Predict Age

Perform an age estimation using predictAge function on all detected faces from image or camera.

import { predictAge } from '@privateid/cryptonets-web-sdk';

await predictAge(null, predictAgeCallback, config?, element?, livenessCheck?);

The function takes 5 parameters

Property	Description
imageData	If this parameter is provided it will check age of the imageData instead of opened camera.
callback	The callback function to handle predictAge results.
config	Extra configurations of predict call.
element	The element ID of the video to be used.
livenessCheck	Boolean, This flag is default false. If true it will do a livenessCheck and if detected as real will continue with the process else if detected as spoof or no face detected, it will not continue the process.

Callback

Here are sample returned data to callback from predictAge :

{
    "status": "WASM_RESPONSE",
    "returnValue": {
        "error": 0,
        "exposure": 0.5861625345450681,
        "faces": [
            {
                "status": 0,
                "box": {
                    "conf_score": 0.9160774946212769,
                    "top_left": {
                        "x": 303,
                        "y": 219.5
                    },
                    "bottom_right": {
                        "x": 443,
                        "y": 342.5
                    },
                    "eye_left": {
                        "x": 345,
                        "y": 240.5
                    },
                    "eye_right": {
                        "x": 408,
                        "y": 238.5
                    }
                }
            }
        ]
    }
    livenessCheck: 0="real", 1="spoof" , -1="No face found or Face too close to the edges"
}

Enroll or predict

Perform a new enrollment (register a new user) or predict (authenticate a user) using the enroll1FA or predict1FA function

import { enroll1FA, predict1FA } from '@privateid/cryptonets-web-sdk';

enroll1FA(callback, {input_image_format: "rgba", identifier?: "string" (optional)}, livenessCheck?)
predict1FA(callback, {input_image_format: "rgba"}, livenessCheck?)

The function takes 3 parameters

Property	Description
callback	The callback to be executed on each status
config	The image format to be used for processing. Recommended: { input_image_format: "rgba" }
livenessCheck	This flag is default false. If true it will do a livenessCheck and if detected as real will continue with the process else if detected as spoof or no face detected, it will not continue the process.
image	This flag requires [ImageData] (array of image data). If image data is passed, then it will use the image to proceed with enroll/predict instead of the opened camera.

Callback

The enroll1FA and predict1FA function provides 5 status updates to allow the developer to take action at different steps of the identification process.

Status	Description
VALID_FACE	A face is detected
INVALID_FACE	A valid face is not detected
ENROLLING	Enrollment (registration) starts of a valid face
PREDICTING	Prediction (authentication) starts of a valid face
WASM_RESPONSE	The prediction or enrollment process is complete

If livenessCheck is true: during VALID_FACE and INVALID_FACE status of enroll, livenessCheck parameter will be available in the returned value.

In configuration, if we pass in { identifier: string } alongside enrollment GUID and UUID we would be adding an additional identifier/label on the person.

Enroll Callback Sample Return:

{
    "status": "WASM_RESPONSE",
    "returnValue": {
        "PI": {
            "enroll_level": 1,
            "factor": "face",
            "guid": "28s2sp569916s98nq55r",
            "uuid": "4p411q1385pr43srpp63"
        },
        "message": "Person exists. Skipping enroll.",
        "status": 0,
        "validation_status": [
            {
                "status": 0,
                "conf_score": 0.9787964820861816
            },
            {
                "status": 0,
                "conf_score": 0.9951184988021851
            },
            {
                "status": 0,
                "conf_score": 0.9949776530265808
            },
            {
                "status": 0,
                "conf_score": 0.9962956309318542
            },
            {
                "status": 0,
                "conf_score": 0.9968335032463074
            },
            {
                "status": 0,
                "conf_score": 0.9963429570198059
            },
            {
                "status": 0,
                "conf_score": 0.9968771934509277
            },
            {
                "status": 0,
                "conf_score": 0.9965213537216187
            },
            {
                "status": 0,
                "conf_score": 0.9963324666023254
            },
            {
                "status": 0,
                "conf_score": 0.9966981410980225
            }
        ],
        "token": "09D3D1BC09A7D5272B41B59CB90B1114215EABE1BEED7B6B048B6D80E8473B2BB3C9E31B5C6CBAF0A3CEFC404091545753A80008AE27216A42A1D6C57911A6A6B62E6CFF66404AEC3AC41EDB158A47866530303030303138376563313161356135"
    },
    "portrait": base64String
}

Enroll also returns portrait (base64 image) in callback. (portrait converted to imageData can be used for face compare)

Predict Sample Return:

{
    "status": "WASM_RESPONSE",
    "returnValue": {
        "message": "OK",
        "status": 0,
        "token": "09BF952A99CF7C2024FA71404DC1B2F7DFF7A69CD5F7C2FF7E761DAB9A2182E07B932428B5E8821866809981363C08885386CCBBE644DEED6C8B927810C455551A750E5F4FAE6FAA3AE3EFD65ABB47736A30303030303138376563313631363837",
        "PI": {
            "factor": "face",
            "guid": "28s2sp569916s98nq55r",
            "uuid": "4p411q1385pr43srpp63",
            "probability": 1,
            "enroll_level": 1
        },
        "PI_list": [
            {
                "factor": "face",
                "guid": "28s2sp569916s98nq55r",
                "uuid": "4p411q1385pr43srpp63",
                "probability": 1,
                "enroll_level": 1
            }
        ],
        "validation_status": [
            {
                "status": 0,
                "conf_score": 0.992994487285614
            }
        ],
        "user_identifier_list": [
            "enroll-label",
            "ap32foi9",
        ]
    },
    livenessCheck: 0="real", 1="spoof" , -1="No face found or Face too close to the edges"
}

Face Login

Perform Face Login (authenticate a user) using the faceLogin function. Face login performs a more restrictive prediction of face.

import { faceLogin } from '@privateid/cryptonets-web-sdk';

faceLogin(callback, {input_image_format: "rgba"}, livenessCheck?)

The function takes 3 parameters

Property	Description
callback	The callback to be executed on each status
config	The image format to be used for processing. Recommended: { input_image_format: "rgba" }
livenessCheck	This flag is default false. If true it will do a livenessCheck and if detected as real will continue with the process else if detected as spoof or no face detected, it will not continue the process.

Callback

The faceLogin function provides 5 status updates to allow the developer to take action at different steps of the identification process.

Status	Description
VALID_FACE	A face is detected
INVALID_FACE	A valid face is not detected
ENROLLING	Enrollment (registration) starts of a valid face
PREDICTING	Prediction (authentication) starts of a valid face
WASM_RESPONSE	The prediction or enrollment process is complete

Face Login Sample Return:

{
    "status": "WASM_RESPONSE",
    "returnValue": {
        "message": "OK",
        "status": 0,
        "token": "09BF952A99CF7C2024FA71404DC1B2F7DFF7A69CD5F7C2FF7E761DAB9A2182E07B932428B5E8821866809981363C08885386CCBBE644DEED6C8B927810C455551A750E5F4FAE6FAA3AE3EFD65ABB47736A30303030303138376563313631363837",
        "PI": {
            "factor": "face",
            "guid": "28s2sp569916s98nq55r",
            "uuid": "4p411q1385pr43srpp63",
            "probability": 1,
            "enroll_level": 1
        },
        "PI_list": [
            {
                "factor": "face",
                "guid": "28s2sp569916s98nq55r",
                "uuid": "4p411q1385pr43srpp63",
                "probability": 1,
                "enroll_level": 1
            }
        ],
        "validation_status": [
            {
                "status": 0,
                "conf_score": 0.992994487285614
            }
        ],
        "user_identifier_list": [
            "enroll-label",
            "ap32foi9",
        ]
    },
    livenessCheck: 0="real", 1="spoof" , -1="No face found or Face too close to the edges"
}

Continuous Authentication

Live demo: https://usc.priv.id

Perform continuous user prediction (authentication) using the continuousAuthentication function. This provides the same status updates as Predict.

import { continuousAuthentication } from '@privateid/cryptonets-web-sdk';

continuousAuthentication(callback, configuration, element)

The continuousAuthentication function takes 4 parameters

Property	Description
callback	The callback to be executed on each status
configuration	Please use recommended: { input_image_format: "rgba" }
element	(Optional) Element ID of the video tag where the camera is open.

isValidPhotoID

This function finds, crops, align and validate, front and back of the photoID, and returns back a valid cropped and aligned image of the photoID

import { isValidPhotoID } from '@privateid/cryptonets-web-sdk';

//Front of DL scan 
const { imageData, croppedDocument, croppedMugshot } = isValidPhotoID("PHOTO_ID_FRONT", documentCallback, false);

// Back of DL barcode scan
const { croppedBarcode, croppedDocument } = isValidPhotoID("PHOTO_ID_BACK", callback)

The isValidPhotoID function takes 3 parameters

Property	Description
docType	it can be either PHOTO_ID_BACK (back of the photo ID) or PHOTO_ID_FRONT (front of the photo ID)
callback	returns the uuid of the portrait on the Front of the Photo ID
doPredict	it is a boolean field wheter we are gonna do a predict on the image of front dl or not. Default value is true

The function returns:

Front Document Scan (PHOTO_ID_FRONT)
imageData: ImageData datatype of the input image

croppedDocument: Uint8ClampedArray convertable to base64String of the cropped document. If document scan is unsuccessful, this will return null

croppedMugshot: Uint8ClampedArray convertable to base64String of the cropped face. If document scan is unsuccessful, this will return null

(Note: Please use utilty function below for converting images to base64 string.)

Front DL Callback Data returns:

{
    conf_level: string,
    cropped_face_channels: number,
    cropped_face_height: number,
    cropped_face_size: number,
    cropped_face_width: number,
    enroll_level: number,
    face_valid: number,
    face_validity_message: string,
    guid: string,
    int_doc_height: number,
    int_doc_width: number,
    op_message: string,
    op_status: number,
    payload_type: string,
    predict_message: string,
    predict_status: number,
    uuid: string,
    status_message:string
}

Front DL Callback Op Status equivalent:

Property	Description
-2	SYSTEM ERROR. Please try again later.
-1	MOVE CLOSER
0	Success
3	ALMOST DONE . . .
4	MOVE JUST A LITTLE CLOSER
9	TOO BLURRY
18	SHOW FRONT OF DOCUMENT

Back Document Scan (PHOTO_ID_BACK)
inputImage: Uint8ClampedArray convertable to base64String of the cropped document.

croppedDocument:: Uint8ClampedArray convertable to base64String of the cropped document. If barcode scan is unsuccessful, this will return null
croppedBarcode:: Uint8ClampedArray convertable to base64String of the cropped barcode. If barcode scan is unsuccessful, this will return null

Back DL Callback sample return value: Note: Variables might change depending on the barcode data.

{
    "op_status": number,
    "op_message": string,
    "payload_type": string,
    "barcode_conf_score": number,
    "crop_barcode_width": number,
    "crop_barcode_height": number,
    "crop_doc_width": number,
    "crop_doc_height": number,
    "type": string,
    "format": string,
    "firstName": string,
    "lastName": string,
    "middleName": string,
    "expirationDate": string,
    "issueDate": string,
    "image_height":number,
    "image_width":number,
    "dateOfBirth": string,
    "gender": string,
    "eyeColor": string,
    "hairColor": string,
    "height": string,
    "streetAddress1": string,
    "streetAddress2": string,
    "RestStreetAddress1": string,
    "RestStreetAddress2": string,
    "city": string,
    "state": string,
    "postCode": string,
    "issuingCountry": string,
    "firstNameTruncation": string,
    "placeOfBirth": string,
    "auditInformation": string,
    "inventoryControlNumber": string,
    "lastNameAlias": string,
    "firstNameAlias": string,
    "suffixAlias": string,
    "nameSuffix": string,
    "namePrefix": string,
    "barcode_key_string": string,
    "barcodeHash64_string": string,
    "barcodeHash128_string": string,
    "status_message":string
}

Back DL Callback Op Status equivalent:

Property	Description
-2	SYSTEM ERROR. Please try again later.
-1	MOVE CLOSER
0	Success
3	ALMOST DONE . . .
4	MOVE JUST A LITTLE CLOSER
9	TOO BLURRY
10	MOVE CLOSER TO BARCODE
18	PRESENT BARCODE IN BOX

Utility function for convertion of image returned by front and back dl scan

convertCroppedImage()

This is a utility function that helps for converting returned image from FRONT DL SCAN and BACK DL SCAN

import { convertCroppedImage } from '@privateid/cryptonets-web-sdk';

// FRONT DL SCAN and BACK DL SCAN
// For converting InputImage returned data FRONT DL SCAN and from BACK DL SCAN.
const InputImageBase64String = convertCroppedImage(inputImage, image_height, image_width);

// FRONT DL SCAN
// For converting croppedDocument returned data from FRONT DL SCAN.
// (Note: We would need other variables that is returned in the callback data. crop_doc_width, crop_doc_height)
const FrontCroppedDocumentBase64String = convertCroppedImage(croppedDocument, crop_doc_width, crop_doc_height);

// For converting croppedMugshot returned data from FRONT DL SCAN.
// (Note: We would need other variables that is returned in the callback data. cropped_face_width and cropped_face_height)
const FrontCroppedMugshotBase64String = convertCroppedImage(croppedMugshot, cropped_face_width and cropped_face_height);

// BACK DL SCAN
// For converting croppedBarcode returned data from BACK DL SCAN.
// (Note: We would need other variables that is returned in the callback data. crop_barcode_width and crop_barcode_width)
const CroppedBarcodeBase64String = convertCroppedImage(croppedBarcode, crop_barcode_width, crop_barcode_height);

// For converting croppedDocument returned data from BACK DL SCAN.
// (Note: We would need other variables that is returned in the callback data. crop_doc_width and crop_doc_height)
const CroppedDocumentBase64String = convertCroppedImage(croppedDocument, crop_doc_width, crop_doc_height);

faceCompareLocal

This function compares 2 faces if they are matching. In the callback it is returning a conf_score (recommended threshold for faceCompare is 0.25)

import { faceCompareLocal } from '@privateid/cryptonets-web-sdk';

faceCompareLocal(callback, imageData1, imageData2, { input_image_format: "rgba" });

The faceCompareLocal function takes 4 parameters

Property	Description
callback	a function that will handle the result of compare returned
imageData1	imageData datatype of the first image
imageData2	imageData datatype of second image
config	Additional configuration. Please enter { input_image_format: "rgba" } as a default

Sample returned data in callback:

{
    "error": number,
    "distance_max": number,
    "distance_mean": number,
    "distance_min": number,
    "conf_score": number,
    "face_thresholds_count": number,
    "face_thresholds": [
        number,
        number,
        number
    ],
    "result": number,
    "valid_flag_a": number,
    "valid_flag_b": number
}

Licensing Restriction: This product is not licensed for use in regulated gaming. To license in this market, please contact CentralAMS.

deleteUser

This function is used for deleting user with the uuid

import { deleteUser } from "@privateid/cryptonets-web-sdk";

deleteUser(uuid, callback)

Note: Please use Predict to get the user UUID you want to delete and pass it in

The function returns:
result: status of the validation of the document

Status	Description
0	deletion is successful
-1	deletion is unsuccessful

messege: deletion messege

checkPackageSupport

This function checks if the web browser supports WASM based on: https://www.lambdatest.com/web-technologies/wasm And also checks if WebRTC is supported based on: https://caniuse.com/?search=getusermedia

import { checkPackageSupport } from "@privateid/cryptonets-web-sdk";

checkPackageSupport();

The function returns:
status: status is a boolean when "True" the browser supports WASM and "False" browser does not support WASM
messege: Messege of the checking of package support.

API Utils

createUser

This function accepts { token (CID or GAN Unique ID/PlayerID), phone, email, ... } and creates user.

import { createUser } from '@privateid/cryptonets-web-sdk';

createUser(parmas)

params = {
    id?: string; // (CID or GAN Unique ID/PlayerID)
    guid?: string;
    phone: string;
    phoneVerified?: boolean;
    email?: string;
    emailVerified?: boolean;
    ssn4?: string;
    ssn9?: string;
    userConsent: boolean;
    userConsentDate: string;
    userFaceEnrollConsent?: boolean;
    consentVersion: string;
    portrait?: string;
};

sendEnrollSms

This function sends SMS to user's phone with a link to acquire front & back of Driver License from mobile. (also enroll face if faceEnrollConsent is true).
From the redirect link in SMS, you can find query string code. You can pass it through verifyToken function as a verification code to get user information.
You can use it if the webcam is lower than 2MP.

import { sendEnrollSms } from '@privateid/cryptonets-web-sdk';

sendEnrollSms({ id })

{
    id: string; // (CID or GAN Unique ID/PlayerID)
}

verifyToken

This function gets the verification code as parameter and return the user information if it's valid code.

import { verifyToken } from '@privateid/cryptonets-web-sdk';

verifyToken({ code, type })

{
    code: string; // verification code
    type: ['phone', 'email']; 
}

uploadPortrait

This function uploads user portrait image.

import { uploadPortrait } from '@privateid/cryptonets-web-sdk';

uploadPortrait({ id, portrait })

{
    id: string; // (CID or GAN Unique ID/PlayerID)
    portrait: string // Base64 
}

uploadDL

This function uploads front & back of Driver Licence image.

import { uploadDL } from '@privateid/cryptonets-web-sdk';

// Uploading Front DL images
uploadDl({ id, type, image })
	id: string //Required
	type: "frontDLoriginal", "frontDLheadshot", "frontDLcropped"
	image: string // Base64 //Require
 
// Uploading Back DL image
uploadDl({ id, type, image })
	id: string //Required
	type: "backDLoriginal", "backDLbarcode"
	image: string // Base64 //Required 
 
// Uploading Back DL barcode JSON
uploadDl({ id, type, barcode})
	id : string //Required
	type:  "barcodeJson"
	barcode: string //Required

Parameter	Description
id	Id to be set for customerID. (Required)
type	"frontDLoriginal", "frontDLheadshot", "frontDLcropped", "backDLoriginal", "backDLbarcode" , "barcodeJson". (required)
image	base64 string of image. (Required for all type exept 'barcodeJson')
barcode	JSON string of the barcode data. (Required for type 'barcodeJson')

updateUser

This function update user preferred data.
i.e. address, city, state, country, postalCode, etc.
This information will be stored in preferred field of User object in DB.

import { updateUser } from '@privateid/cryptonets-web-sdk';

updateUser({ id, attributes })

{
    id: string; // (CID or GAN Unique ID/PlayerID)
    attributes: {...}; // 
}

getUserStatus

This function will return the status of user.

import { getUserStatus } from '@privateid/cryptonets-web-sdk';

getUserStatus({ id  })

{
    id: string; // (CID or GAN Unique ID/PlayerID)
}

Response

Name	Value	Description
userRegistered	true, false	true if all user information provided for createUser function
emailVerified	true, false	Email verified for user
phoneVerified	true, false	Phone number verified for user
manualPIIEntry	true, false	true for manual data entry (no Scan ID)
userScanID	true, false	true Approved Scan ID

validateSecurityToken

This function will validate the returned securityToken.

Note: Token are only valid for 5 minutes starting from the creation of token. After 5 minutes the token will be invalid.

import { validateSecurityToken } from '@privateid/cryptonets-web-sdk';

validateSecurityToken({ uuid, token })

{
    uuid: string; // UUID of the user
    token: string; // Token from the api call i.e. enroll1Fa/predict1Fa
}

Response

Name	Value	Description
securityToken	string	The securityToken passed in the API call.
securityTokenStatus	'1','0'	'1' being TRUE means securityToken is valid. '0' being FALSE means securityToken is invalid.

clearCache

This is a utility function that will clear the cache data.

import { clearCache } from '@privateid/cryptonets-web-sdk';

clearCache();