Security Scan Report: xn--mopedkparna-wfb.se

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Submitted: Sep 25, 2026, 10:40:12 PMCompleted: Sep 25, 2026, 10:40:45 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 58%

5
Risk Score

Newly registered self-branded moped-buying site with no forms, impersonation, malware, or threat-intel hits; only domain age and lack of reputation drive moderate caution.

Risk Factors
Very newly registered domain with no established reputation
Safety Factors
No credential or payment forms on the page
No brand impersonation; self-branding matches the domain
No Indicators of Compromise, YARA malware, or IDS alerts
No JavaScript credential exfiltration or obfuscation signals
Content reads as a coherent legitimate business site
Domain age information unavailable

Details

Page Title

Mopedköparna – Vi köper din moped | Kostnadsfri värdering

Scan Type

public

Domain Name Analysis

Domain 'xn--mopedkparna-wfb.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The registrable portion 'xn--mopedkparna-wfb' spans 19 characters holding four vowels versus 12 consonants, along with 3 hyphens. Splitting it apart reveals 6 words: xn, moped, kpa, rna, w, fb. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--mopedkparna-wfb.se

Page Load Overview

0.42s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,924 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website100% confidence
Type: static
Method: ml+structural

All Detected Categories

blog personal website
100%
documentation technical
100%
social media network
100%
government public service
100%
news media journalism
99%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13212.227.222.77Germany
AS8560IONOS SE
131--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155A2C73272442D3E611B87E8F3A17B2CA1AEE346C71BD81CF6BC02A55BCBC945A57354

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NWnIifwi8/vtrrSR6pLDwJvJnY57uQXSUTKRpMVePnbfH:NpJrSR6pvwxBBQX/KRpMVePnbfH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23097:FFTSYJVCsYAlIhoMTDQ2AhMDMKCCVgYFAtVQKE4iFkhSQJJgBtIOECtiDIUFJExEIigKgYUjRSCopMQtheIDSkQ0mpgobAwl

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:6600303c3c380000
Perceptual Hash:cea531d3b1c4ce31
Difference Hash:d42e646068606211
Wavelet Hash:7e3f3f3c3c3c1800
Color Hash:#8788c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data