Summary
This website contacted 78 IPs in 2 countries across 16 domains to perform 128 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%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Town of Bethel New York
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'townofbethelny.gov' is registered while skipping any subdomain. Its registrable label 'townofbethelny' stretches across 14 characters holding four vowels versus 10 consonants. It segments into 4 words: town, of, bethel, ny. The median word length lands at 3 characters. 'town' most often appears in Chinese (Pinyin). You may catch it in English and Dutch 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 |
|---|---|---|---|
| 51 | 142.250.186.170 | United States | AS15169GOOGLE |
| 1 | 23.53.42.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 45.40.130.49 | United States | AS26496AS-26496-GO-DADDY-COM-LLC |
| 1 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.58.206.74 | United States | AS15169GOOGLE |
| 1 | 142.250.181.227 | United States | AS15169GOOGLE |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 1 | 13.33.187.17 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 172.217.18.10 | United States | AS15169GOOGLE |
| 128 | 78 | - | - |
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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