Security Scan Report: nordiskshop.se

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 4 countries across 30 domains to perform 683 HTTP transactions. The main domain is nordiskshop.se.

Submitted URL: https://nordiskshop.se

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Swedish K-beauty Shopify storefront operating under its own matching brand, with clean threat intelligence and no credential or payment capture on the page. No impersonation or malicious signals found.

Safety Factors (5)
Site brand matches its own domain (self-branding), no brand impersonation
No credential or payment fields on the scanned page; no cross-origin credential forms and no credential exfiltration detected
Standard Shopify infrastructure (cdn.shopify.com, monorail-edge.shopifysvc.com, pay.shopify.com) with hCaptcha bot protection
Clean threat intelligence, hunting rule and network IDS results
Unranked domain and unknown registration age are neutral priors, not evidence of wrongdoing; .se registrations frequently do not publish creation dates
Domain age information unavailable

Details

Page Title

Nordisk Shop

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'nordiskshop.se' is registered without a subdomain. The core label 'nordiskshop' covers 11 characters with 3 vowels and 8 consonants. It segments into three words: nor, disk, shop. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

NORDISK Betala senare med Klarna Hem x 10% off entire order Prenumerera och få en rabattkod på 10 % direkt, plus fler rabattkoder och fina erbjudanden framöver! | Förnamn | E-post Få min rabattk...

Page Load Overview

10.90s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:10,628 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical42% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
42%
corporate
35%
e-commerce
20%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2323.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
2023.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
2023.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
20104.21.53.146Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20116.203.4.250Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
2034.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2034.128.177.21Google · CDNKansas City, Missouri, United States
AS396982Google LLC
20178.62.69.207Slough, England, United Kingdom
AS14061DigitalOcean, LLC
20104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2052.222.136.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
68334--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FE42B80D03018BC013781F6BBE5F6A9B694D183D7424D94B5EDC3281F99FEA9C539AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:nds/HYdnZYtgBPYIYoBQljjj5ljjjt7umj1uaZbILvnPb9KEIwYQoYe+YkHUd:6CZ62PFBU7uXvPb9KEIwYQoYe+YkHUd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:702924:QSEEFBKgESwBWGECUUEGAgiwvOuYHBUwDZUFEAMIBYgkSRaBWjRGQQiwkqWYMEq4JMCkJgasCIYCCigkUCcYALAABCACjBQY

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:f1e01818181800ff
Perceptual Hash:c8caf2249d989db6
Difference Hash:a141b3b3b3b34d0c
Wavelet Hash:f9f1f918181801ff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data