Summary
This website contacted 4 IPs in 2 countries across 20 domains to perform 1 HTTP transaction. The main domain is usagolf.org and was registered 23 years ago.
Submitted URL: https://www.usagolf.org/profiles/xander-schauffele-907927
AI Security Verdict
Safe Website
Confidence: 98%
Official USA Golf athlete profile; no security concerns detected.
Safety Factors
Details
Page Title
Xander Schauffele | USA Golf
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
You're looking at domain 'www.usagolf.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The registrable portion 'usagolf' spans 7 characters containing 3 vowels alongside four consonants. It segments into 2 words: usa, golf. The median word length lands at 3.5 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 |
|---|---|---|---|
| 14 | 146.75.122.133 | Sweden | AS15169Google LLC |
| 14 | 104.18.86.42 | United States | AS13335Cloudflare, Inc. |
| 14 | 142.251.127.156 | United States | AS16625Akamai Technologies, Inc. |
| 14 | 104.16.78.6 | Unknown | AS13335Cloudflare, Inc. |
| 56 | 4 | - | - |
Page Statistics
Detected Technologies19
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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