Network Programming in .NET

Scam warning!

TL; DR;
If you get approached by this company for investment. It’s a scam. Evidence below
https://drive.google.com/drive/folders/1s8PmzNv9YZQI_C50Tx118cqO9REkJgvu?usp=sharing

I got approached by this company, which in the exchange of 2 emails offered a $1M investment. To good to be true. With zero-due diligence. I’ve been trhough similar processes before, and expect a month’s worth of due dilligence document preparation before getting to the point of an offer.

Anyway, so I did due dilligence on them, and specifically, their director:
NRIC/FIN/Passport No. : S8838988C
Name : CHENG YONG TECK
Nationality/Citizenship : SINGAPORE CITIZEN
Address : 10 MARTIN PLACE, #17-14, MARTIN MODERN, SINGAPORE 237963

The director being involved in a bizarre mix of different companies, including immigration ( link ) , weddings, plastic surgery ( link )  , Weight loss, and engineering companies.

 Specifically, the Plastic surgery business has left lots of people our of pocket, and is connected to the other holding company;  quote “Anyway, both Dore Aesthethics and Dore Clinic are owned by Kate Holdings.The Director is Cheng Yong Teck who lives in Orchard Residences. Born in 1988.”

In the age of personalization and integration, being able to retrieve user profile images and basic information programmatically can be invaluable for CRMs, marketing platforms, and analytics systems. AvatarAPI provides a simple yet powerful way to fetch profile data from various providers, including Adobe, just by using an email address.

In this post, we’ll walk through how to retrieve Adobe profile details using AvatarAPI, including how to interpret the JSON response and especially the RawData payload.

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📬 Making the Request

To fetch a user’s Adobe profile via AvatarAPI, you’ll need to send a POST request to:

https://avatarapi.com/v2/api.aspx

Here’s a sample request payload:

{
    "username" : "demo",
    "password" : "demo___",
    "provider" : "Adobe",
    "email" : "falecom@sergiolimabroker.com.br"
}

Replace username and password with your actual AvatarAPI credentials.

---

📦 Sample Response

Here’s what a successful response might look like:

{
    "Name": "",
    "Image": "https://mir-s3-cdn-cf.behance.net/user/276/63d4f1907178277.60f249006a140.jpg",
    "Valid": true,
    "City": "",
    "Country": "",
    "IsDefault": false,
    "Success": true,
    "RawData": "[{\"type\":\"individual\",\"authenticationMethods\":[{\"id\":\"google\",\"url\":\"https://adobeid-na1.services.adobe.com/renga-idprovider/social/v2/signin/google\"},{\"id\":\"password\",\"url\":null}],\"status\":{\"code\":\"active\",\"reason\":null},\"images\":{\"50\":\"https://mir-s3-cdn-cf.behance.net/user/50/63d4f1907178277.60f249006a140.jpg\",\"100\":\"https://mir-s3-cdn-cf.behance.net/user/100/63d4f1907178277.60f249006a140.jpg\",\"115\":\"https://mir-s3-cdn-cf.behance.net/user/115/63d4f1907178277.60f249006a140.jpg\",\"138\":\"https://mir-s3-cdn-cf.behance.net/user/138/63d4f1907178277.60f249006a140.jpg\",\"230\":\"https://mir-s3-cdn-cf.behance.net/user/230/63d4f1907178277.60f249006a140.jpg\",\"276\":\"https://mir-s3-cdn-cf.behance.net/user/276/63d4f1907178277.60f249006a140.jpg\"},\"hasT2ELinked\":false}]",
    "Source": {
        "Name": "Adobe"
    }
}

---

🧠 Understanding the Response Fields

• Image: URL of the profile image, typically hosted on Behance CDN.
• Valid: Boolean indicating whether a profile was found.
• IsDefault: Tells you whether the image is a generic placeholder or a custom user-uploaded image.
• Success: Boolean status of the request.
• Source: Confirms that the provider is Adobe.
• RawData: This is a stringified JSON array with more granular details from the provider.

---

🔍 Deep Dive into RawData

Let’s parse the RawData field for a better understanding:

[
  {
    "type": "individual",
    "authenticationMethods": [
      {
        "id": "google",
        "url": "https://adobeid-na1.services.adobe.com/renga-idprovider/social/v2/signin/google"
      },
      {
        "id": "password",
        "url": null
      }
    ],
    "status": {
      "code": "active",
      "reason": null
    },
    "images": {
      "50":  "https://...50.jpg",
      "100": "https://...100.jpg",
      "115": "https://...115.jpg",
      "138": "https://...138.jpg",
      "230": "https://...230.jpg",
      "276": "https://...276.jpg"
    },
    "hasT2ELinked": false
  }
]

Key Elements:

• type: Usually "individual", indicating a personal profile.
• authenticationMethods: Shows available login methods for this Adobe account (e.g., Google, password).
• status: Account status, with code typically being "active".
• images: Dictionary of image sizes for the profile picture. Useful for responsive UI.
• hasT2ELinked: Indicates whether the account is linked to two-factor authentication (T2E = Two-step or Two-element?).

---

🎯 Practical Use Case

If you’re building a user-facing dashboard, you can display a verified profile image directly using the Image field, and optionally allow your backend to parse RawData for more advanced logic, such as:

• Detecting authentication methods.
• Validating account status.
• Choosing image resolution dynamically based on device.

Example (JavaScript):

const profileImgUrl = response.Image;
document.getElementById('avatar').src = profileImgUrl;

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🧪 Pro Tip: Parsing RawData

Since RawData is a stringified JSON array, you’ll need to parse it manually:

const rawData = JSON.parse(response.RawData);
console.log(rawData[0].authenticationMethods);

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✅ Conclusion

Using AvatarAPI, retrieving Adobe profile details is seamless and efficient. The rich JSON response, especially the RawData, provides developers with a powerful toolkit to enhance user profiles, drive personalization, or even verify identity with minimal effort.

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If you’re using AvatarAPI in production or need help parsing the Adobe-specific data, feel free to reach out or drop your questions in the comments!

https://payhip.com/b/STZvc

Malaysian NVIC Vehicle Database – 23,715 Vehicle Models

Comprehensive NVIC Database for Malaysian Vehicles

Our Malaysian NVIC Vehicle Database provides a detailed reference for 23,715 car makes and models, covering essential vehicle details along with insurance and valuation data. This dataset is invaluable for automotive businesses, insurance companies, financial institutions, and regulatory bodies that require accurate and up-to-date vehicle information.

Key Features:

✅ Extensive Coverage – Includes 23,715 unique vehicle records spanning multiple manufacturers and models.
✅ Structured Data – Organized into 18 columns for easy reference and integration.
✅ Complete Vehicle Identification – Features NVIC codes, model year, make, family, variant, series, and body style.
✅ Engine & Transmission Details – Provides engine capacity (CC) and transmission type.
✅ Market Valuation Data – Includes new and used prices (WM & EM), recommended retail price (RRR), and sum insured values.
✅ Historical Updates – Contains timestamps for data creation, updates, and valuation dates.

Column Breakdown:

• Id – Unique identifier for each vehicle.
• NVIC – National Vehicle Identification Code.
• Year – Model year of the vehicle.
• Make – Manufacturer (e.g., Toyota, Honda, Proton).
• Family – General vehicle classification within the brand.
• Variant – Specific model variation.
• Series – Trim or sub-model series.
• Style – Body style (e.g., sedan, SUV, hatchback).
• CC – Engine displacement (in cubic centimeters).
• Transmission – Type of gearbox (manual/automatic).
• WM New Price & RRR – West Malaysia pricing data.
• EM New Price & RRR – East Malaysia pricing data.
• Sum Insured – Suggested insured value.
• TimeCreated & TimeUpdated – Timestamps for record creation and last modification.
• ValuationDate – Date of the latest vehicle valuation.

Use Cases:

🔹 Insurance & Valuation – Provides essential data for insurance pricing and underwriting.
🔹 Automotive Sales & Financing – Assists in loan approvals and resale evaluations.
🔹 Fleet Management & Logistics – Helps businesses manage and assess vehicle assets.
🔹 Regulatory Compliance & Government Agencies – Useful for vehicle registration and taxation.

This dataset is available in a structured format (CSV, SQL, or API-ready) for seamless integration into your systems.

More info here: https://payhip.com/b/STZvc

Source: https://www.vehicleapi.com.my/