Security Scan Report: vonnorten.se

Redirected to:
https://www.vonnorten.com/en-de
Site favicon
Submitted: Completed: publiccompleted
This website contacted 33 IPs in 4 countries across 20 domains to perform 172 HTTP transactions. The main domain is vonnorten.se.

Submitted URL: https://vonnorten.se

Effective URL:
https://www.vonnorten.com/en-de
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Legitimate Shopify storefront for the Von Norten home-interior brand; own-brand self-labeling, no credential/payment forms, no threat-intel, hunting rule or IDS hits. Geo-restriction notice is normal market blocking.

Safety Factors (5)
Shopify-hosted storefront with full product catalogue and policy pages (shipping & return policy, trade account portal)
Site displays its own brand 'Von Norten' matching the domain; no impersonation of another entity
No credential or payment form fields on the page — no harvesting surface
No Indicators of Compromise, hunting rule, Safe Browsing or phishing/malware IDS hits
Entry domain redirect (vonnorten.se → vonnorten.com) is a normal brand domain-consolidation redirect
Domain age information unavailable

Details

Page Title

Conscious Luxury » Designed in Scandinavian Nature | VON NORTEN – Von Norten

Scan Type

public

Domain Name Analysis

The domain 'vonnorten.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 9 characters in 'vonnorten' with three vowels and 6 consonants. Tokenizing the label suggests 3 words: vonn, or, ten. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Restricted Access Sorry, you cannot visit our store from your current location.

Page Load Overview

4.77s
Total Load Time
11.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,166 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
e-commerce
40%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
523.227.38.67Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
5104.26.13.94Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
523.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
534.144.250.199Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
563.187.106.144Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
17233--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC5540B14D20D09F887340E6683067F8E56491C6B7938BA5B57E7B502BDDB83E8E10BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:E1JYvck1kCgMTH3bXPJpZ5U8nvoncGszbbsRBfk:mZn1k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1294756:ICQSbkACSBAAwDsKgokdmwJQIQQyhiHFB0WKCEJoJhDgAI5CyQGULKltAHFeIEhIINIxINBEIkFIMJwABJAgAAR3LgRTOSZF

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:e7ffffffffffffff
Perceptual Hash:a333333333333333
Difference Hash:0c00000000000000
Wavelet Hash:e7ffffff00000000
Color Hash:07000000000

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data