Websites Using Microsoft Authentication

The Microsoft Authentication Library for JavaScript enables both client-side and server-side JavaScript applications to authenticate users using Azure AD for work and school accounts (AAD), Microsoft personal accounts (MSA), and social identity providers like Facebook, Google, LinkedIn, Microsoft accounts, etc. through Azure AD B2C service.

Categories: RUM, JavaScript library

Official website: https://github.com/AzureAD/microsoft-authentication-library-for-js

Microsoft Authentication is ranked #51 of 113 in RUM by website adoption.

RUM alternatives ranked by popularity

1. Google Sign-in — 3,333 websites
2. Akamai mPulse — 1,806 websites
3. Microsoft Application Insights — 826 websites
4. Dynatrace RUM — 711 websites
5. AJAX Login and Registration modal popup + inline form — 0 websites
6. Add Logo to Admin — 0 websites
7. All In One Login — 0 websites
8. Alliance Auth — 0 websites
9. Allow Multiple Accounts — 0 websites
10. Amazon CloudWatch RUM — 0 websites

Microsoft Authentication is an open source project with 4,026 stars and 2,698 forks on GitHub. Written in TypeScript. Licensed under MIT. Latest release: msal-react-v3.0.27.

How WhatStack detects Microsoft Authentication

WhatStack detects Microsoft Authentication by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is Microsoft Authentication?

The Microsoft Authentication Library for JavaScript enables both client-side and server-side JavaScript applications to authenticate users using Azure AD for work and school accounts (AAD), Microsoft personal accounts (MSA), and social identity providers like Facebook, Google, LinkedIn, Microsoft accounts, etc. through Azure AD B2C service.

How many websites use Microsoft Authentication?

WhatStack has detected Microsoft Authentication on 0 websites in our database.

How do you detect Microsoft Authentication?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify Microsoft Authentication with high accuracy using signature-based pattern matching.