Summary
This website contacted 189 IPs in 4 countries across 46 domains to perform 220 HTTP transactions. The main domain is centralparknyc.org and was registered NaN years ago.
Submitted URL: https://www.centralparknyc.org/
The Cisco Umbrella rank of the primary domain is #699,735 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Official Central Park Conservancy site with no security concerns.
Safety Factors
Details
Page Title
Your Official Guide to Central Park I… | Central Park Conservancy
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'www.centralparknyc.org' is registered, featuring subdomain 'www'. Count 14 characters in 'centralparknyc' holding 3 vowels versus 11 consonants. Segmentation suggests three words: central, park, nyc. Median word length is 4 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 |
|---|---|---|---|
| 39 | 172.217.18.10 | United States | AS15169GOOGLE |
| 30 | 104.18.16.204 | United States | AS13335CLOUDFLARENET |
| 18 | 18.66.107.129 | United States | Unknown |
| 13 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 11 | 172.66.146.217 | United States | AS13335CLOUDFLARENET |
| 11 | 142.250.185.163 | United States | AS15169GOOGLE |
| 9 | 23.36.162.7 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 172.217.23.104 | United States | AS15169GOOGLE |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 220 | 189 | - | - |
Detected Technologies7
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
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