Summary
This website contacted 67 IPs in 2 countries across 14 domains to perform 114 HTTP transactions. The main domain is townofbethelny.gov and was registered NaN years ago.
Submitted URL: https://townofbethelny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate municipal website with no apparent security threats.
Safety Factors
Details
Page Title
Town of Bethel New York
Scan Type
public
Language
English
Category
government public service
(86%)Domain Information
Domain 'townofbethelny.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'townofbethelny' covers 14 characters containing four vowels alongside ten consonants. It segments into 4 words: town, of, bethel, ny. Average segment length settles at 3 characters. The linguistic tilt is Chinese (Pinyin) for 'town'. You will also see it in English and Dutch contexts. Net impression: Chinese (Pinyin) phrase.
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 |
|---|---|---|---|
| 48 | 142.250.186.74 | United States | AS15169GOOGLE |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 142.250.186.42 | United States | AS15169GOOGLE |
| 1 | 142.250.185.170 | United States | AS15169GOOGLE |
| 1 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 35.163.77.253 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 52.92.149.128 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.186.163 | United States | AS15169GOOGLE |
| 1 | 23.37.42.16 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.185.99 | United States | AS15169GOOGLE |
| 114 | 67 | - | - |
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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