Summary
This website contacted 24 IPs in 2 countries across 4 domains to perform 35 HTTP transactions. The main domain is elizabethtown-ny.gov and was registered NaN years ago.
Submitted URL: https://elizabethtown-ny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears to be a legitimate municipal website.
Safety Factors
Details
Page Title
Town of Elizabethtown, NY | Town of Elizabethtown, NY
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'elizabethtown-ny.gov' uses the United States government-restricted top-level domain (.gov). The core label 'elizabethtown-ny' covers 16 characters split between five vowels and 10 consonants; it also includes one hyphen. It segments into two words: elizabethtown, ny. Average segment length settles at 7.5 characters. 'elizabethtown' is most common in Chinese (Pinyin) usage. Secondary signals appear in Norwegian and Danish. Overall, 'elizabethtown-ny.gov' reads as Chinese (Pinyin) with character flair.
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 |
|---|---|---|---|
| 12 | 64.19.76.58 | Watertown, New York, United States | AS11722WFC-ASN |
| 1 | 142.250.185.131 | United States | AS15169GOOGLE |
| 1 | 142.250.181.234 | United States | AS15169GOOGLE |
| 1 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 142.250.186.74 | United States | AS15169GOOGLE |
| 1 | 142.250.184.234 | United States | AS15169GOOGLE |
| 1 | 172.217.23.106 | United States | AS15169GOOGLE |
| 1 | 2a00:1450:4001:828::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 142.250.185.170 | United States | AS15169GOOGLE |
| 1 | 142.250.186.138 | United States | AS15169GOOGLE |
| 35 | 24 | - | - |
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data