Security Scan Report: xn--cykelvnligast-gfb.se

Redirected to:
https://cykelvanligast.se/
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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 4 domains to perform 41 HTTP transactions. The main domain is xn--cykelvnligast-gfb.se.

Submitted URL: https://xn--cykelvnligast-gfb.se

Effective URL:
https://cykelvanligast.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Swedish workplace cycling campaign site; the punycode entry domain is its own name with a diacritic redirecting to the ASCII domain. No forms, no impersonation, no threat-intel or malware signals.

Safety Factors (5)
No credential, password or payment forms on the page
Self-branding consistent with the domain; the punycode entry host is the site's own name with a diacritic, resolving to its ASCII domain
Named organizational backing (Cykelfrämjandet, Svenska Cykelstäder, Energi & klimatrådgivningen) with referenced regional partners
Only cross-origin script contact is maps.googleapis.com (ranked #701), a standard mapping service
Clear absence of phishing, malware or obfuscated-code indicators
Domain age information unavailable

Details

Page Title

Startsida - Cykelvänligast

Scan Type

public

Domain Name Analysis

Domain 'xn--cykelvnligast-gfb.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'xn--cykelvnligast-gfb' is 21 characters long with 3 vowels and 15 consonants; bonus characters include three hyphens. Splitting it apart reveals 9 words: xn, cy, kel, v, n, liga, st, gf, b. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Cykelvänligast Kom igång Cykelutmaningen Så funkar det Nyheter Inspiration Deltagare Partners Logga in BÄSTA STARTEN PÅ DAGEN! Lites nA r att ge dig en smidigare upplevelse på sidan. jar. Vi använ...

Page Load Overview

4.83s
Total Load Time
14.6 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:5,841 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
89%
government public service
69%
adult content
47%
education learning
44%
corporate business
36%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
693.188.2.53Sweden
AS39570Loopia AB
593.188.2.55Sweden
AS39570Loopia AB
546.30.215.124Copenhagen, Capital Region, Denmark
AS51468One.com A/S
5172.217.119.4Google · CDNUnited States
AS15169Google LLC
5172.217.116.4Google · CDNUnited States
AS15169Google LLC
5172.217.113.4Google · CDNUnited States
AS15169Google LLC
5172.217.114.4Google · CDNUnited States
AS15169Google LLC
5172.217.112.4Google · CDNUnited States
AS15169Google LLC
418--

Detected Technologies9

JQueryv3.7.1
100%
PHPv8.3.36
40%
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13433C679604E867B235F47DAB015BB09669E8710ED85E8F472FE518CC7CCA5120EF23A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FqUKSPZdypa9hbJKKovZLhUTEUToHcN1CJOTCYu2dKRr2eHlbCJIXQ:FtXypRvZLmhD9Bu2dcr2eF+JQQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54618:SEgrDccQwPEAAnQj1weBEV0bJAE32kAoyiig5SIAuSlChjnBQxsLQAEgAYmAQR6F8IUh4AIUGJOQVBqKA4jkAATIJOoGIiM8

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:0000000000ffffcf
Perceptual Hash:e846b94379977846
Difference Hash:b4c5a1f1c5cd281b
Wavelet Hash:7a00301000ffffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data