Summary
This website contacted 43 IPs in 2 countries across 10 domains to perform 122 HTTP transactions. The main domain is townofbethanyny.gov and was registered NaN years ago.
Submitted URL: https://townofbethanyny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Bethany, NY – 10510 Bethany Center Road East Bethany, NY 14054 – Welcome
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'townofbethanyny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'townofbethanyny' is 15 characters long holding 4 vowels versus eleven consonants. Tokenizing the label suggests 4 words: town, of, bethany, ny. Expect 3 characters per word on average. Most frequently, 'town' shows up in Chinese (Pinyin). Secondary signals appear in English and Dutch. 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 |
|---|---|---|---|
| 38 | 142.250.185.131 | United States | AS15169GOOGLE |
| 2 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 44.249.218.72 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 35.82.63.0 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 172.217.23.110 | United States | AS15169GOOGLE |
| 2 | 142.250.186.163 | United States | AS15169GOOGLE |
| 2 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 142.250.185.170 | United States | AS15169GOOGLE |
| 2 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 122 | 43 | - | - |
Detected Technologies12
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
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