Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 28 HTTP transactions. The main domain is learn.microsoft.com and was registered NaN years ago.
Submitted URL: https://learn.microsoft.com/en-us/troubleshoot/exchange/email-delivery/ndr/fix-error-code-550-4-4-7-in-exchange-online
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 Learn documentation page with no malicious indicators.
Safety Factors
Details
Bot Protection Detected
This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.
Page Title
Fix NDR error 550 4.4.7 in Exchange Online - Exchange | Microsoft Learn
Scan Type
public
Language
English
Category
technology software
(92%)Domain Information
Domain 'learn.microsoft.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'learn'. Count 9 characters in 'microsoft' with three vowels and 6 consonants. It segments into 1 word: microsoft. Average segment length settles at nine characters. 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 |
|---|---|---|---|
| 7 | 150.171.109.53Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 7 | 23.59.18.98 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS16625Akamai Technologies, Inc. |
| 7 | 150.171.110.113Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 7 | 52.168.117.169Azure · CLOUD | Washington, Virginia, United States | AS8075Microsoft Corporation |
| 28 | 4 | - | - |
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