Summary
This website contacted 189 IPs in 4 countries across 47 domains to perform 363 HTTP transactions. The main domain is loving-newyork.com and was registered NaN years ago.
Submitted URL: https://loving-newyork.com/village-halloween-parade-nyc/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate travel guide with no evident security threats.
Safety Factors
Details
Page Title
▷ Village Halloween Parade in NYC 2025 • The Complete Guide
Scan Type
public
Language
English
Category
travel tourism
(75%)Domain Information
The domain 'loving-newyork.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Count 14 characters in 'loving-newyork' split between 4 vowels and nine consonants, notching 1 hyphen. Splitting it apart reveals 3 words: loving, new, york. Average segment length settles at four characters. 'loving' most strongly signals Chinese (Pinyin). You may catch it in English and Norwegian as well.
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 |
|---|---|---|---|
| 175 | 13.32.99.8 | New York, New York, United States | AS16509AMAZON-02 |
| 103 | 172.66.144.73 | United States | AS13335CLOUDFLARENET |
| 24 | 142.250.184.202 | United States | AS15169GOOGLE |
| 23 | 142.250.185.138 | United States | AS15169GOOGLE |
| 21 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 20 | 146.75.122.49 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 14 | 142.250.186.78 | United States | AS15169GOOGLE |
| 13 | 142.250.186.35 | United States | AS15169GOOGLE |
| 12 | 216.58.206.67 | United States | AS15169GOOGLE |
| 11 | 13.32.99.123 | New York, New York, United States | AS16509AMAZON-02 |
| 363 | 189 | - | - |
Detected Technologies20
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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