Summary
API
This website contacted 14 IPs in 4 countries across 12 domains to perform 118 HTTP transactions. The main domain is vatterhem.se and was registered 31 years ago.
Submitted URL: https://xn--vtterhem-0za.se
Effective URL:
AI Security Verdict
Safe Website
Confidence: 85%
Redirect ends on the real Vätterhem housing site at www.vatterhem.se. No forms, no credential capture, no malware or threat-intel hits — a normal corporate start page.
Safety Factors (4)
Details
Page Title
Startsida | Vätterhem
Scan Type
public
Domain Name Analysis
The domain 'xn--vtterhem-0za.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'xn--vtterhem-0za' is 16 characters long holding 3 vowels versus 9 consonants, along with one digit and three hyphens. Segmentation suggests seven words: xn, v, tter, he, m, 0, za. Average segment length settles at 2 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 |
|---|---|---|---|
| 14 | 216.150.16.1Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 8 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 8 | 150.171.109.101Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 8 | 178.174.209.211 | Stockholm, Stockholm County, Sweden | AS8473Bahnhof AB |
| 8 | 46.246.31.3 | Sweden | AS42708Glesys AB |
| 8 | 46.21.98.98 | Falkenberg, Halland County, Sweden | AS42708Glesys AB |
| 8 | 194.9.94.86 | Sweden | AS39570Loopia AB |
| 8 | 216.150.1.1Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 8 | 146.247.178.19 | Enköping, Uppsala County, Sweden | AS12552GlobalConnect AB |
| 8 | 46.246.31.2 | Sweden | AS42708Glesys AB |
| 118 | 14 | - | - |
Detected Technologies3
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
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