Security Scan Report: beautystation-wehl.nl

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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 85 HTTP transactions. The main domain is beautystation-wehl.nl and was registered 2 years 4 months ago.

Submitted URL: https://beautystation-wehl.nl

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Single unverified community report labels the domain as 'iclickfix (malware)', but the page itself is a legitimate beauty salon with no malicious forms, scripts, or other indicators. Treat with caution pending corroboration.

Risk Factors (1)
Single-source, unverified malware threat-intel match on the primary domain
Domain age information unavailable

Details

Page Title

Beauty Station – Beauty salon wehl

Scan Type

public

Domain Name Analysis

Within the Dutch country-code top-level domain (.nl), 'beautystation-wehl.nl' is registered with no subdomain. Count 18 characters in 'beautystation-wehl' with 7 vowels and ten consonants; bonus characters include 1 hyphen. It segments into four words: beauty, station, we, hl. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

a SEN Afspraak maken

Page Load Overview

3.73s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:nl-NL
Text Length:6,487 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain78% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
78%
technology software
57%
finance banking
54%
phishing scam
53%
documentation technical
52%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43109.163.225.31Amsterdam, North Holland, Netherlands
AS3223Voxility LLP
42192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
852--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACD396A27C5B0839251F22DF501FA34C61AE9EF5DB61A2E1F0B78126E1B1DA037F3525

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7QMCONT8XU9R9NIXPn3a+BGVNeDwIMG3lEib2x:wONT8XU9R9NIXy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:139567:hijggEVJGBeWACAhRFkTo0ur3/hBmBQgwEwoQwKKHAAdAAAggBEYowECARAQI0RAA5L1LGyEoQxBwJDDEFhgDIBAYoigZoQV

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:878381b3b39f1f1d
Perceptual Hash:bf641b96449a9b68
Difference Hash:6c272b2a66797979
Wavelet Hash:870381b1b39f1f1d
Color Hash:07000000000

Scan History

Scan history not available

Unable to load historical scan data