Summary
API
This website contacted 6 IPs in 2 countries across 4 domains to perform 24 HTTP transactions. The main domain is learn.microsoft.com and was registered 31 years ago.
Submitted URL: https://learn.microsoft.com/en-us/entra/identity/authentication/concept-sms-voice-retirement
The Cisco Umbrella rank of the primary domain is #3 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 96%
The page is a legitimate Microsoft documentation site with no malicious indicators.
Safety Factors
Details
Page Title
Passkeys by default and retirement of Microsoft-provided SMS and voice authentication - Microsoft Entra ID | Microsoft Learn
Scan Type
public
Domain Name Analysis
The domain name 'learn.microsoft.com' uses the commercial generic top-level domain (.com) with subdomain 'learn'. The core label 'microsoft' covers 9 characters containing 3 vowels alongside 6 consonants. Word splitting yields one word: microsoft. Expect 9 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 23.52.181.208 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 4 | 150.171.110.56Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 150.171.109.37Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 150.171.109.194Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 72.246.29.160 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 4 | 20.42.65.90Azure · CLOUD | Dulles, Virginia, United States | AS8075Microsoft Corporation |
| 24 | 6 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data