Summary
This website contacted 25 IPs in 4 countries across 9 domains to perform 114 HTTP transactions. The main domain is microsoft.com and was registered NaN years ago.
Submitted URL: https://www.microsoft.com/en-us/microsoft-365/business/scheduling-and-booking-app
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be the genuine Microsoft page with no security concerns.
Safety Factors
Details
Page Title
Online Bookings and Appointment Scheduling | Microsoft 365
Scan Type
public
Language
English
Category
technology software
(92%)Domain Information
Within the commercial generic top-level domain (.com), 'www.microsoft.com' is registered with subdomain 'www'. Count 9 characters in 'microsoft' split between three vowels and six consonants. Word splitting yields 1 word: microsoft. 'fnmicrosoft' most strongly signals Chinese (Zhuyin). You may catch it in Danish and German as well.
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 |
|---|---|---|---|
| 18 | 146.75.121.181 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 104.102.45.22 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 23.50.253.249 | Mumbai, Maharashtra, India | AS16625AKAMAI-AS |
| 4 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 79.140.95.131 | Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 4 | 79.140.95.187 | Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 4 | 23.35.229.160 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 2a02:26f0:3500:2b5::356e | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 114 | 25 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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