Summary
This website contacted 10 IPs in 2 countries across 9 domains to perform 54 HTTP transactions. The main domain is cutchoguenewsuffolkparksny.gov and was registered NaN years ago.
Submitted URL: https://cutchoguenewsuffolkparksny.gov/
AI Security Verdict
Low Risk
Confidence: 85%
Site appears legitimate but is newly registered and unranked; monitor for any changes.
Risk Factors
Safety Factors
Details
Page Title
Cutchogue New Suffolk Park District – Celebrate Local Parks
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'cutchoguenewsuffolkparksny.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'cutchoguenewsuffolkparksny' spans 26 characters split between 8 vowels and 18 consonants. Tokenizing the label suggests 7 words: cut, cho, gue, new, suffolk, park, sny. Median word length is three characters. 'cut' is most common in Vietnamese usage. Secondary signals appear in Chinese (Pinyin) and Indonesian.
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 |
|---|---|---|---|
| 9 | 192.0.78.19 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.24 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.12 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.25 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 2a04:fa87:fffe::c000:4902 | Ireland | AS2635AUTOMATTIC |
| 5 | 192.0.78.13 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.18 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 54 | 10 | - | - |
Detected Technologies11
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