ScanMalware.com

Security Scan Report: cykelbutiker.nu

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/4e8d3907-8036-4c87-96db-d4b87213fc6aDomain and IP registration (RDAP)/api/v1/rdap/4e8d3907-8036-4c87-96db-d4b87213fc6aHow often this domain was scanned/api/v1/domain/stats/cykelbutiker.nuScan history for this domain/api/v1/domain/history/cykelbutiker.nu?limit=15
This website contacted 36 IPs in 3 countries across 24 domains to perform 136 HTTP transactions. The main domain is cykelbutiker.nu.

Submitted URL: https://cykelbutiker.nu

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate Swedish bicycle-shop directory with self-branding, only same-origin search forms, and no credential, payment, threat-intelligence, or malware signals.

Safety Factors (5)
Self-branding matches the domain
No password or payment fields
Search forms submit to the same domain
No Indicators of Compromise or malware detection
Ordinary directory content and standard privacy/cookie controls
Domain age information unavailable

Details

Page Title

Hitta cykelbutiker nära dig – snabbt och enkelt - cykelbutiker.nu

Scan Type

public

Domain Name Analysis

The domain 'cykelbutiker.nu' uses the .nu country-code top-level domain while skipping any subdomain. The registrable portion 'cykelbutiker' spans 12 characters containing 4 vowels alongside 8 consonants. Breaking it apart gives 5 words: cy, kel, but, i, ker. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cykelbutiker.nu

Page Load Overview

1.95s
Total Load Time
3.0 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:1,276 chars
Detector Agreement:80%

Website Classification

Primary Category

cryptocurrency blockchain100% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
100%
healthcare medical
100%
education learning
100%
technology software
100%
news media journalism
100%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31172.67.185.138Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3142.251.20.156Google · CDNUnited States
AS15169Google LLC
3142.250.154.113Google · CDNUnited States
AS15169Google LLC
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
3142.251.127.155Google · CDNUnited States
AS15169Google LLC
3142.251.13.132Google · CDNUnited States
AS15169Google LLC
13636--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143141B2572A0157162FB4EB5A017B33DF528920BD74645F2E0A991B882CCEFF19B335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RinRULfOypULNsp0oZoh07CrJJouzhNub+47892PXk8lPk9RmSjezZg0ZqaA79bk:sRULfnpl7B8ryS46ZlKQ2+POb2Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:199183:wAAQgMboIRibJBGAZHRCrARyEgIACAYmCuCKKhWIhIMQQJBzHPUVLPIHiC9AKgUcICBBKQjmGMEAIIAF00MQB0kiJMhohhgM

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:9f00007e7e66667e
Perceptual Hash:963d26869ebc8e8c
Difference Hash:6096c0dce0cccccc
Wavelet Hash:9c00007e7e7e667e
Color Hash:#d279cc

Other Hashes

Crop Resistant:6096c0dce0cccccc

Scan History

Scan history not available

Unable to load historical scan data