Summary
This website contacted 46 IPs in 2 countries across 8 domains to perform 40 HTTP transactions. The main domain is townofcaton.gov and was registered NaN years ago.
Submitted URL: https://townofcaton.gov/
AI Security Verdict
Safe Website
Confidence: 82%
The site appears to be a legitimate municipal website with no evident security threats.
Safety Factors
Details
Page Title
Town of Caton - Corning New York
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'townofcaton.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'townofcaton' stretches across 11 characters split between 4 vowels and seven consonants. Segmentation suggests 3 words: town, of, caton. Average segment length settles at four characters. The linguistic tilt is Chinese (Pinyin) for 'town'. Usage also turns up in English and Dutch contexts.
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 |
|---|---|---|---|
| 40 | 13.35.58.28 | United States | AS16509AMAZON-02 |
| 0 | 13.35.58.68 | United States | AS16509AMAZON-02 |
| 0 | 52.216.49.33 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 0 | 142.250.185.99 | United States | AS15169GOOGLE |
| 0 | 142.250.185.234 | United States | AS15169GOOGLE |
| 0 | 16.182.100.112 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 0 | 23.21.215.178 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 16.15.195.240 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 54.231.135.168 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 0 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 40 | 46 | - | - |
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
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