Security Scan Report: xn--kungsholmensmleri-lrb.se

Redirected to:
https://www.kungsholmensmaleri.se/
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 6 domains to perform 29 HTTP transactions. The main domain is xn--kungsholmensmleri-lrb.se.

Submitted URL: https://xn--kungsholmensmleri-lrb.se

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

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Self-branded Swedish painting company (Kungsholmens Måleri AB) on its own domain, with only a normal name/e-mail/phone contact form. No impersonation, credentials, payment fields or threat-intel hits; final domain age unknown.

Risk Factors (1)
Final domain kungsholmensmaleri.se has no published age or Cisco Umbrella ranking (unknown age / unranked) — a weak prior only
Safety Factors (5)
Own-brand site with title/meta matching its domain; no impersonation of another entity
No credential, password or payment fields in the verified DOM
No Indicators of Compromise, YARA, IDS or kit-roster hits
Contact form posts same-origin (/Kontakt/Kontaktaoss), no cross-origin credential submission
Coherent Swedish business content with physical address and tax-deduction information
Domain age information unavailable

Details

Page Title

Startsida - Kungsholmens Måleri AB

Scan Type

public

Domain Name Analysis

The domain name 'xn--kungsholmensmleri-lrb.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'xn--kungsholmensmleri-lrb' is 25 characters long with five vowels and 17 consonants, plus three hyphens. It segments into seven words: xn, kungsholmen, s, ml, eri, lr, b. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--kungsholmensmleri-lrb.se

Page Load Overview

1.40s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Text Length:643 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property44% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

real estate property
44%
finance banking
31%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1181.95.105.71Prague, Prague, Czech Republic
AS25234ACTIVE 24, s.r.o.
293.188.2.53Sweden
AS39570Loopia AB
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
2142.251.127.138Google · CDNUnited States
AS15169Google LLC
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2142.250.154.100Google · CDNUnited States
AS15169Google LLC
2142.250.154.101Google · CDNUnited States
AS15169Google LLC
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8126621A8F6406342639095BFB7672AAE91D513D00ECE4075EC0BDD4FC6E9ACE5339D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Rgk1bb9C3nire3SCW5rXksrqQRkfHUNhFhIH8FhJHuie/3:/6nire3c5rXksrqQRkfH8hFhIcFhJO5v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9521:hgDQUAFECAhANZPEhBEAclC0aThYFEEUESIXUJNCAogaASOIElQGQAgAsCBEf4xCECS4R6JABBREobEQiBAMiLg2gS1jAOAh

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:c3ffffffffc3c3ff
Perceptual Hash:e4656464c76565c7
Difference Hash:8655868641969641
Wavelet Hash:81c3c3c3fd8181fb
Color Hash:#642d86

Scan History

Scan history not available

Unable to load historical scan data