Security Scan Report: hoganaskakel.se

Redirected to:
https://www.hoganaskakel.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 40 IPs in 5 countries across 28 domains to perform 112 HTTP transactions. The main domain is hoganaskakel.se.

Submitted URL: https://hoganaskakel.se

Effective URL:
https://www.hoganaskakel.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate Swedish tile company site under its own matching brand domain. No phishing, malware, impersonation, or credential exfiltration evidence found.

Safety Factors (5)
Self-branding confirmed: meta tags and title use the exact domain brand.
All forms submit to the same domain (hoganaskakel.se).
No content-malware indicators of compromise or hunting-rule detections.
Third-party scripts are mostly well-known analytics, consent, font, and ad services.
Hidden link block contains only cookie/privacy and browser documentation links, which is consistent with a consent panel.
Domain age information unavailable

Details

Page Title

Höganäs Kakel & Klinker - Vägen till ditt nya drömrum - Höganäs Kakel

Scan Type

public

Domain Name Analysis

Domain 'hoganaskakel.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'hoganaskakel' is 12 characters long holding five vowels versus seven consonants. Splitting it apart reveals 3 words: hogan, aska, kel. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Du har kontroll över dina uppgifter Vi och våra samarbetspartner använder tekniska lösningar kakor, för att inhämta information om dig för olika syften, däribland: Funktionella, Statistiska, Marketi...

Page Load Overview

7.13s
Total Load Time
9.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:23,225 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical60% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
60%
corporate
35%
technology software
30%

Detected Features

Login Form
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34139.162.138.189Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
213.51.62.224Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
2150.171.109.101Azure · CLOUDUnited States
AS8075Microsoft Corporation
2172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.217.113.4Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
2142.251.20.138Google · CDNUnited States
AS15169Google LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
11240--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC64533774D961FEB193A29A602AAE055AD5B033E5508888737CD275CFCCC83F663396

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1V17dzTZE8s7J7eWoOJGBHu4Z+S792vQZUcL+dfm:H1dzTZE8s7J7esfm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:327105:kxQ8mYBGsQi2ACAM8wIAUABwiCFAkQdIdBkKIcLZEEEUeAAEGEECBYsTgEZAnNAM5ELWNuAtgIYJujIDEXIRZAnAAO5GACAQ

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:0000fbd3f3d3ffff
Perceptual Hash:e4134a5b45136dbb
Difference Hash:d1a6969622262526
Wavelet Hash:0000d352d3d2fffb
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data