Summary
This website contacted 6 IPs in 3 countries across 7 domains to perform 57 HTTP transactions. The main domain is support.microsoft.com and was registered NaN years ago.
Submitted URL: https://support.microsoft.com/en-us/office/learn-about-securing-and-protecting-email-messages-in-outlook-2baf3ac7-12db-40a4-8af7-1852204b4b67
The Cisco Umbrella rank of the primary domain is #3 of the top 1 million websitesTop 100 Site
AI Security Verdict
Low Risk
Confidence: 88%
Official Microsoft support page; low risk but be cautious when entering credentials.
Risk Factors
Safety Factors
Details
Page Title
Learn about securing and protecting email messages in Outlook - Microsoft Support
Scan Type
public
Language
English
Category
technology software
(71%)Domain Information
You're looking at domain 'support.microsoft.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'support'. The second-level label 'microsoft' is 9 characters long holding three vowels versus six consonants. It segments into one word: microsoft. 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 |
|---|---|---|---|
| 11 | 52.182.143.211 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 10 | 13.107.213.44 | United States | AS8075Microsoft Corporation |
| 10 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 10 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 10 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 10 | 20.190.160.131 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 61 | 6 | - | - |
Detected Technologies6
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
Scan history not available
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