Summary
API
This website contacted 10 IPs in 3 countries across 14 domains to perform 124 HTTP transactions. The main domain is jonssonsglas.com and was registered 19 years ago.
Submitted URL: https://arlandaglas.se
Effective URL:
AI Security Verdict
Low Risk
Confidence: 88%
Legitimate Swedish glazier business page with no phishing, malware, or credential-harvesting signals; low risk.
Safety Factors (4)
Details
Page Title
Glas- Så mycket mer än bara fönster!
Scan Type
public
Domain Name Analysis
Domain 'arlandaglas.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'arlandaglas' is 11 characters long split between four vowels and 7 consonants. It segments into 4 words: ar, land, a, glas. The median word length lands at 3 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 |
|---|---|---|---|
| 16 | 192.0.78.216 | San Francisco, California, United States | AS2635Automattic, Inc |
| 12 | 194.9.94.86 | Sweden | AS39570Loopia AB |
| 12 | 192.0.78.176 | San Francisco, California, United States | AS2635Automattic, Inc |
| 12 | 192.0.77.32 | San Francisco, California, United States | AS2635Automattic, Inc |
| 12 | 192.0.77.37 | San Francisco, California, United States | AS2635Automattic, Inc |
| 12 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 12 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 12 | 157.240.0.35Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 12 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 12 | 194.9.94.85 | Sweden | AS39570Loopia AB |
| 124 | 10 | - | - |
Detected Technologies9
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