Summary
API
Submitted URL: https://lampbutikstockholm.se
AI Security Verdict
Safe Website
Confidence: 85%
Swedish lamp store Bright 1-2-3; keyword domain redirects to its own brand site. No credential/payment forms, no threat-intel hits, no impersonation.
Safety Factors (4)
Details
Page Title
Lampbutik i Stockholm med designlampor, verkstad och vintage - Bright 1-2-3
Scan Type
public
Domain Name Analysis
The domain 'lampbutikstockholm.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'lampbutikstockholm' spans 18 characters containing five vowels alongside 13 consonants. Tokenizing the label suggests four words: lamp, but, ik, stockholm. Expect 3.5 characters per word on average. 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 |
|---|---|---|---|
| 57 | 81.91.12.13 | Stockholm, Stockholm County, Sweden | AS197308Telia Cygate AB |
| 4 | 195.47.247.18 | Denmark | AS51468One.com A/S |
| 4 | 184.24.77.74Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 172.67.75.136Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 2.16.204.25Akamai · CDN | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 4 | 52.222.236.94Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 104.26.10.15Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 4 | 23.48.23.19Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 277 | 56 | - | - |
Detected Technologies27
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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