Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is applewoodprobusclub.org and was registered NaN years ago.
Submitted URL: https://applewoodprobusclub.org/mmbrinfo.html
AI Security Verdict
High Risk
Confidence: 85%
High‑risk phishing page collecting passwords on a domain impersonating Apple.
Risk Factors
Details
Page Title
Member Info
Scan Type
public
Language
English
Category
documentation technical
(33%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'applewoodprobusclub.org' is registered without a subdomain. Its registrable label 'applewoodprobusclub' stretches across 19 characters containing 7 vowels alongside 12 consonants. Breaking it apart gives 4 words: apple, wood, probus, club. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 192.250.237.63 | Toronto, Ontario, Canada | AS36218WHG Hosting Services Ltd |
| 3 | 142.251.141.106 | United States | AS15169GOOGLE |
| 3 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 10 | 3 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data