Summary
This website contacted 113 IPs in 3 countries across 31 domains to perform 131 HTTP transactions. The main domain is azure.microsoft.com.
Submitted URL: https://azure.microsoft.com/en-us/get-started/azure-portal/service-health
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Microsoft Azure Service Health page with no security concerns.
Safety Factors
Details
Page Title
Azure Service Health | Microsoft Azure
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain 'azure.microsoft.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'azure'. The registrable portion 'microsoft' spans 9 characters split between 3 vowels and 6 consonants. Segmentation suggests 1 word: microsoft. The linguistic tilt is Chinese (Zhuyin) for 'fnmicrosoft'. It also appears in Danish and German contexts.
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 |
|---|---|---|---|
| 19 | 35.244.174.68 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 34.96.71.22 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 104.18.27.193 | United States | AS13335CLOUDFLARENET |
| 1 | 20.42.73.24 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 23.32.98.39 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 13.107.226.40 | Redmond, Washington, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 131 | 113 | - | - |
Detected Technologies11
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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