Security Scan Report: xn--badrumsrenoveringtyres-gic.se

Redirected to:
https://www.xn--badrumsrenoveringtyres-gic.se/
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Submitted: Completed: publiccompleted
This website contacted 21 IPs in 2 countries across 16 domains to perform 80 HTTP transactions. The main domain is xn--badrumsrenoveringtyres-gic.se.

Submitted URL: https://xn--badrumsrenoveringtyres-gic.se

Effective URL:
https://www.xn--badrumsrenoveringtyres-gic.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish bathroom-renovation company site presenting its own 'Variati' brand matching the domain. Only a standard quote/contact form, no credential or payment fields, and no threat-intel, hunting rule or IDS findings. Legitimate.

Safety Factors (5)
Domain name matches the displayed business name and service area (self-branding, not impersonation)
No credential, password or payment collection anywhere on the page
Contact form submits to the same origin
No malware, phishing, reputation or network-intrusion signals in any scanner feed
Third-party script hosts are predominantly well-ranked, widely used services
Domain age information unavailable

Details

Page Title

Badrumsrenovering Tyresö | Anlita oss för bästa resultat

Scan Type

public

Domain Name Analysis

The domain name 'xn--badrumsrenoveringtyres-gic.se' uses the Swedish country-code top-level domain (.se). Count 30 characters in 'xn--badrumsrenoveringtyres-gic' holding 8 vowels versus 19 consonants, along with 3 hyphens. Splitting it apart reveals 8 words: xn, ba, drums, ren, over, ing, tyres, gic. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

oy nl UF TES Pv fe ig Hi I COCCO Bra bemötande från början av Marqus #4 och duktiga medarbetare där specielt. Lars géstaN 21 timmar Omdömen totalt @ 23 = Kontakta oss KAR | I 2 Snittbetyg © 5....

Page Load Overview

1.50s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:SV-se
Text Length:5,581 chars
Detector Agreement:93%

All Detected Languages

🇸🇪sv(98%)🇳🇴no(2%)🇺🇸en(1%)

Website Classification

Primary Category

corporate business80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
80%
adult content
68%
documentation technical
59%
blog personal website
58%
real estate property
58%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
493.174.46.80Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
20172.67.213.140Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13104.26.8.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.9.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
33.68.61.161Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
33.174.46.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
3142.251.157.119Google · CDNUnited States
AS15169Google LLC
8021--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T159E24B23E540D23F1C636068D330A74E66DEAC06CE7286D1F5FE43559BC5FE60A36A89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:p0cx+pLl9W4fsLCRyoywIzgxbVmKNLGKWVGF8pPR0II:pkl9WJ+RyoJmK0KWVGF8pZ0II

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32478:CAcSYxnJ0piCiEHCESpFKQUJUQACAgjaO4iowEqkLAIk0wl0kABINREgNYDxoFFgEQBhgAfElhAOKMQR4p2hBBGDhCNWzsAK

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

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data