Summary
This website contacted 10 IPs in 3 countries across 12 domains to perform 1 HTTP transaction. The main domain is sway.cloud.microsoft and was registered NaN years ago.
Submitted URL: https://sway.com
Effective URL: https://sway.cloud.microsoft/Redirected
The Cisco Umbrella rank of the primary domain is #32,782 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate Microsoft Sway site with no security concerns.
Safety Factors
Details
Page Title
Microsoft Sway | Create visually striking newsletters, presentations, and documentation in minutes
Scan Type
public
Language
English
Category
entertainment media
(70%)Domain Information
Within the commercial generic top-level domain (.com), 'sway.com' is registered. The registrable portion 'sway' spans 4 characters holding one vowel versus 3 consonants. Segmentation suggests 2 words: s, way. The median word length lands at two 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 |
|---|---|---|---|
| 15 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 7 | 52.111.243.44 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 7 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 7 | 13.89.179.8 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 7 | 13.107.246.45 | United States | AS8075Microsoft Corporation |
| 7 | 20.190.160.132 | Unknown | Unknown |
| 7 | 13.107.213.44 | United States | AS8075Microsoft Corporation |
| 7 | 23.67.139.104 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 7 | 40.126.31.67 | Unknown | Unknown |
| 7 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 78 | 10 | - | - |
Detected Technologies4
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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