Security Scan Report: kroppsbutiken.se

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Submitted: Completed: publiccompleted
This website contacted 47 IPs in 4 countries across 40 domains to perform 468 HTTP transactions. The main domain is kroppsbutiken.se and was registered 3 years 9 months ago.

Submitted URL: https://kroppsbutiken.se/products/cozysocks-varma-och-skona-langstrumpor?utm_source=Klaviyo&utm_medium=email&_kx=u2HszHdrGL0ko1AOBaw8Hz_zGjMiRUOnyG-u68ldHJo.V2UBpU

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Swedish Shopify retailer selling its own CozySocks product; self-branded domain, no credential or payment forms, no threat-intel, hunting rule or IDS hits.

Safety Factors (5)
Self-branding: page title and Open Graph metadata match the registered domain
Well-established domain (1374 days) with no reputation or threat-intel hits
No credential-harvesting or payment fields on the page; purchases route through standard cart/checkout
No impersonation of any third-party brand — CozySocks is a product name sold by this retailer
No malware, obfuscated JavaScript, or network-level alerts
Domain age information unavailable

Details

Page Title

Långstrumpor CozySocks i ull och mohair – varma | Köp här— Kroppsbutiken - SE

Scan Type

public

Domain Name Analysis

The domain 'kroppsbutiken.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'kroppsbutiken' is 13 characters long with 4 vowels and 9 consonants. Splitting it apart reveals six words: kr, opp, s, but, i, ken. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Kroppsbutiken (ved tar eter ©) AA Loggain |W Nyheter — Erbjudanden v = Fothälsa & fotvård v — Skor &tofflory Massage & återhämtning v — Ortoser & stödv © Kroppsvårdv | Shapewear & kompression v Barnp...

Page Load Overview

3.99s
Total Load Time
6.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:18,326 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(95%)🇪🇪et(2%)🇳🇴no(1%)🇩🇰da(1%)🇺🇸en(1%)

Website Classification

Primary Category

healthcare medical87% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
87%
e-commerce
50%
corporate
35%
documentation technical
26%

Detected Features

Search
Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30723.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
32146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11104.26.10.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9142.251.13.95Google · CDNUnited States
AS15169Google LLC
923.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
9104.26.11.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9142.251.14.94Google · CDNUnited States
AS15169Google LLC
93.16.20.165Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
934.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
93.161.82.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
46847--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E151AF1D8703438249B63F797A97608F6E6A207C5014D93B1BEA3544F8AF5D9E93A0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:B1JYGPQSMN5h4n/ctMT9glPN9HIXNP18dvRZZCS1gmcAkJx7aeijC7zj9cLca8Ul:VTk5xk/mLjC7Q8UU60PS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:879696:1DAAiAjWGEBphEGBhBEKGSsRkjtEsEChQBKwGIkHQqyOYEipDGBdIBgIpABs+kCGIwKMifVQkKDCAhBDrDIAwoCDAQnTMDB2

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data