Security Scan Report: xn--yamahacentervxj-dlb22a.se

Redirected to:
https://www.yamahacentervaxjo.se/
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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 3 countries across 10 domains to perform 78 HTTP transactions. The main domain is xn--yamahacentervxj-dlb22a.se.

Submitted URL: https://xn--yamahacentervxj-dlb22a.se

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Official Swedish Yamaha dealer site; the flagged domain change is just IDN punycode to ASCII of the same name. No forms, no threat-intel, hunting rule or IDS hits — legitimate.

Safety Factors (5)
Long-lived business presence: entry domain registered 2009-02-17
Content is coherent Swedish dealership copy (MC, boats, ATV, service, winter storage) with real prices in SEK and a verifiable postal address
No credential or payment forms present anywhere on the page
No malicious JavaScript, no obfuscation, no hidden iframes or injected links
Third-party scripts (empori.se platform assets) are a CMS vendor, unranked but not tampered-looking
Domain age information unavailable

Details

Page Title

Yamahacenter i Växjö | MC | Motorbåtar | Webshop

Scan Type

public

Domain Name Analysis

Domain 'xn--yamahacentervxj-dlb22a.se' uses the Swedish country-code top-level domain (.se). The second-level label 'xn--yamahacentervxj-dlb22a' is 26 characters long holding 6 vowels versus 15 consonants; it also includes two digits and three hyphens. Segmentation suggests nine words: xn, yamaha, center, v, xj, d, lb, 22, a. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--yamahacentervxj-dlb22a.se

Page Load Overview

7.87s
Total Load Time
8.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,764 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
94%
entertainment media
85%
government public service
78%
technology software
78%
healthcare medical
75%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12185.144.146.127Karlstad, Värmland County, Sweden
AS1257Tele2 SWIPnet
693.188.2.56Sweden
AS39570Loopia AB
6104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6185.144.146.123Karlstad, Värmland County, Sweden
AS1257Tele2 SWIPnet
6142.250.154.95Google · CDNUnited States
AS15169Google LLC
635.210.90.146Google · CDNBrussels, Brussels Capital, Belgium
AS15169Google LLC
64.225.229.17Azure · CLOUDSweden
AS8075Microsoft Corporation
6142.251.110.94Google · CDNUnited States
AS15169Google LLC
6150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
6104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7812--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4C3957065B010365267A5D9E774660A6F90E503CA1388D0BAFCC7D8CFDBCF29EB6258

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NnNNnLZPNH9Au7nODu2eeyOKyOHjxCpYgts:NL9HeyOKyOHOYF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121353:CGIEILTOCxsieARsbAaAkogEIIAScYhyMqKQlGGUCowUADJI0lFRbglIgCgIKQIUFSEEVMBAURCoCkJrGFc2zLzK3FUEKiAA

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:00ffff9fff938383
Perceptual Hash:bc53360e533c5347
Difference Hash:f0323037c9262626
Wavelet Hash:00887c1d1d038383
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data