Summary
This website contacted 10 IPs in 2 countries across 9 domains to perform 53 HTTP transactions. The main domain is cutchoguenewsuffolkparksny.gov and was registered NaN years ago.
Submitted URL: https://cutchoguenewsuffolkparksny.gov/
AI Security Verdict
Safe Website
Confidence: 80%
Site shows no suspicious activity and appears to be a legitimate local park district.
Safety Factors
Details
Page Title
Cutchogue New Suffolk Park District – Celebrate Local Parks
Scan Type
public
Language
English
Category
government public service
(57%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'cutchoguenewsuffolkparksny.gov' is registered without a subdomain. Its registrable label 'cutchoguenewsuffolkparksny' stretches across 26 characters split between eight vowels and 18 consonants. Tokenizing the label suggests 7 words: cut, cho, gue, new, suffolk, park, sny. Median word length comes out to 3 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 |
|---|---|---|---|
| 33 | 192.0.78.25 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 9 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.24 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.12 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.18 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 2a04:fa87:fffe::c000:4902 | Ireland | AS2635AUTOMATTIC |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 192.0.78.13 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 192.0.78.19 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 53 | 10 | - | - |
Detected Technologies4
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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