Summary
This website contacted 40 IPs in 4 countries across 46 domains to perform 126 HTTP transactions. The main domain is newyorkfamily.com and was registered NaN years ago.
Submitted URL: https://www.newyorkfamily.com/new-universal-studios-park-epic-universe/
The Cisco Umbrella rank of the primary domain is #666,880 of the top 1 million websites
AI Security Verdict
Details
Page Title
Thrilling New Universal Studios Theme Park: Epic Universe – New York Family
Scan Type
public
Language
English
Category
entertainment media
(90%)Domain Information
You're looking at domain 'www.newyorkfamily.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'newyorkfamily' covers 13 characters split between 4 vowels and nine consonants. Splitting it apart reveals three words: new, york, family. Median word length is four 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 |
|---|---|---|---|
| 28 | 18.66.112.95 | Netherlands | |
| 5 | 52.21.130.8 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 98.98.135.24 | Amsterdam, North Holland, Netherlands | AS21859ZEN-ECN |
| 5 | 216.58.206.65 | United States | AS15169GOOGLE |
| 5 | 52.223.40.198 | Unknown | |
| 5 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 104.16.224.240 | United States | AS13335CLOUDFLARENET |
| 5 | 3.174.46.74 | United States | AS16509AMAZON-02 |
| 5 | 104.18.37.212 | United States | AS13335CLOUDFLARENET |
| 223 | 40 | - | - |
Detected Technologies8
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
Scan History
Scan history not available
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