Summary
API
This website contacted 29 IPs in 3 countries across 25 domains to perform 282 HTTP transactions. The main domain is kroppsbutiken.se and was registered 8 years ago.
Submitted URL: https://kroppsbutiken.se/pages/kontakta-oss
AI Security Verdict
Safe Website
Confidence: 85%
The page appears legitimate, with self‑branding, no credential collection, and no malicious indicators.
Safety Factors
Details
Page Title
Kontakta oss | Kroppsbutiken— Kroppsbutiken - SE
Scan Type
public
Domain Name Analysis
The domain name 'kroppsbutiken.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The registrable portion 'kroppsbutiken' spans 13 characters split between 4 vowels and nine consonants. Splitting it apart reveals 6 words: kr, opp, s, but, i, ken. Expect 2.5 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 |
|---|---|---|---|
| 30 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 9 | 23.227.39.20 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 9 | 146.75.122.133Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 9 | 23.227.38.65 | Ottawa, Ontario, Canada | AS13335Cloudflare, Inc. |
| 9 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 9 | 104.26.11.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 104.26.6.186Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 9 | 3.174.46.24Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 9 | 3.161.82.83Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 9 | 3.41.202.172Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 282 | 29 | - | - |
Detected Technologies13
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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