Security Scan Report: arcticjewellery.se

Redirected to:
https://arcticdesignhouse.se/collections/arctic-jewellery-by-camilla-m...
Submitted: Oct 1, 2026, 2:20:23 AMCompleted: Oct 1, 2026, 2:21:17 AMpubliccompleted

This website contacted 20 IPs in 5 countries across 17 domains to perform 360 HTTP transactions. The main domain is arcticdesignhouse.se and was registered 22 years ago.

Submitted URL: https://arcticjewellery.se

Effective URL:

https://arcticdesignhouse.se/collections/arctic-jewellery-by-camilla-m...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate Swedish handmade-jewelry Shopify store (Arctic Design House, Kiruna). Self-branded, no credential/payment forms, no threat-intel or malware signals. Domain redirect is an ordinary rebrand.

Safety Factors (4)
Legitimate e-commerce with standard payment options (Klarna, Swish, PayPal, Visa/Mastercard)
Registered company details and physical presence in Kiruna, Sweden
Trusted Shopify/CDN infrastructure and ranked third-party script hosts
No malicious content, forms, or behavioral signals detected
Domain age information unavailable

Details

Page Title

Arctic Jewellery by Camilla Mustikka – Arctic Design House

Scan Type

public

Domain Name Analysis

Domain 'arcticjewellery.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'arcticjewellery' is 15 characters long with 5 vowels and ten consonants. Segmentation suggests two words: arctic, jewellery. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arcticjewellery.se

Page Load Overview

14.48s
Total Load Time
3.9 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:15,773 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network82% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
82%
blog personal website
39%
corporate
35%

Detected Features

Search
OG: product.group
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.227.38.32Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
18194.9.94.86Sweden
AS39570Loopia AB
1854.83.6.65Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1823.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1823.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1834.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
18157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
18157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1818.66.107.181Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1815.206.46.59Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
36020--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E784E890D0F105BF80BB60DAAA397F55AAEA4393C35205D1B5DC4F115F99E2BEE2780C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lLQRJrcj2uQASA2hZ+FMob+v1LmLhXM1M5tsu6zWrYuGDZ09QFrh:cLmLhTczWrYuwrh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:396382:sBKKCwTYIJGBEAEiMwgU4DzfSiGCjAiyBBBJhckIA0JhGibDgHQ5Acpg2AN0lMAAC4TlWlAk3CAlBQYAs0EiAaAEBGYEGoBx

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

Average Hash:00ffc787c7ffffcf
Perceptual Hash:b646d9cf32263949
Difference Hash:8c001c0d0d78299b
Wavelet Hash:00f6878787878fc7
Color Hash:#acd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data