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Security Scan Report: bikecity.nu

Redirected to:
https://www.bikecity.nu/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/74e29f4e-62a3-4ef6-a606-86d17e8e4ce6Domain and IP registration (RDAP)/api/v1/rdap/74e29f4e-62a3-4ef6-a606-86d17e8e4ce6How often this domain was scanned/api/v1/domain/stats/bikecity.nuScan history for this domain/api/v1/domain/history/bikecity.nu?limit=15
This website contacted 11 IPs in 2 countries across 9 domains to perform 256 HTTP transactions. The main domain is bikecity.nu.

Submitted URL: https://bikecity.nu

Effective URL:
https://www.bikecity.nu/
Redirected

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Established 16-year-old Dutch bicycle shop (BikeCity IJsselstein) with matching own-brand domain, no credential/payment forms, and no threat-intel, YARA, or IDS hits. Legitimate.

Safety Factors (4)
16-year-old established domain
Own-brand site with matching domain and Dutch business identity
No phishing, malware, or payment-collection infrastructure detected
Content consistent with a legitimate local bicycle retail shop
Domain age information unavailable

Details

Page Title

BikeCity IJsselstein B.V. - Welkom

Scan Type

public

Domain Name Analysis

Domain 'bikecity.nu' uses the .nu country-code top-level domain and has no subdomain. The second-level label 'bikecity' is 8 characters long containing three vowels alongside five consonants. It segments into 2 words: bike, city. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bikecity.nu

Page Load Overview

10.52s
Total Load Time
9.0 MB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nl
Text Length:3,475 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping72% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
72%
documentation technical
61%
cryptocurrency blockchain
59%
adult content
55%
technology software
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26213.206.208.251Wehl, Gelderland, Netherlands
AS9150ML Consultancy
23142.251.13.95Google · CDNUnited States
AS15169Google LLC
23142.251.14.97Google · CDNUnited States
AS15169Google LLC
23213.206.208.249Wehl, Gelderland, Netherlands
AS9150ML Consultancy
23178.22.63.157Netherlands
AS12859BIT BV
23142.251.110.94Google · CDNUnited States
AS15169Google LLC
23216.239.34.36Google · CDNUnited States
AS15169Google LLC
23192.178.183.95Google · CDNUnited States
AS15169Google LLC
23142.251.20.94Google · CDNUnited States
AS15169Google LLC
23142.251.20.97Google · CDNUnited States
AS15169Google LLC
25611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E53A421ECF8942B409395D1A630EB49EFA2925BC7175A0833FC17E56FDBD96C913388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LuJTbBPvs+8bESVpXq2dxHdQU8HX8e0c5M:LWTbtvsRbESVpXq2dxHdQU8D0c5M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60883:KwGAYQRIxiyJYQQIoYQIEQmoIXCZIKysrBqBJARJVvQMDiEBD8qURBIAQgiA7QgYTRMGVkGeAEUCANDEgIwLEsMIOEIhEaAS

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:ffa3e3cbcbcbff00
Perceptual Hash:b1c7ce9818ce71e2
Difference Hash:604e4e9a9a9a6113
Wavelet Hash:ff00c3cbcbcbb500
Color Hash:#4bd22d

Other Hashes

Crop Resistant:604e4e9a9a9a6113,86054b1b1616560f,8301010101010103,1313133333131327

Scan History

Scan history not available

Unable to load historical scan data