Summary
This website contacted 68 IPs in 2 countries across 15 domains to perform 162 HTTP transactions. The main domain is townofclaytonny.gov and was registered NaN years ago.
Submitted URL: https://townofclaytonny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Welcome! - Town of Clayton, NY
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'townofclaytonny.gov' uses the United States government-restricted top-level domain (.gov). The second-level label 'townofclaytonny' is 15 characters long containing 4 vowels alongside 11 consonants. Breaking it apart gives 4 words: town, of, clayton, ny. Expect three characters per word on average. Most frequently, 'town' shows up in Chinese (Pinyin). It also appears in English and Dutch contexts. Taken together, it feels Chinese (Pinyin).
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 |
|---|---|---|---|
| 73 | 34.75.10.18 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 28 | 35.80.199.240 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 14 | 142.250.181.238 | United States | AS15169GOOGLE |
| 13 | 142.250.185.110 | United States | AS15169GOOGLE |
| 13 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 11 | 142.250.186.67 | United States | AS15169GOOGLE |
| 10 | 104.20.20.192 | United States | AS13335CLOUDFLARENET |
| 5 | 34.214.80.42 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 5 | 142.250.184.227 | United States | AS15169GOOGLE |
| 4 | 142.250.184.228 | United States | AS15169GOOGLE |
| 162 | 68 | - | - |
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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