Summary
This website contacted 13 IPs in 2 countries across 8 domains to perform 60 HTTP transactions. The main domain is carrolltonny.gov and was registered NaN years ago.
Submitted URL: https://www.carrolltonny.gov/
AI Security Verdict
Safe Website
Confidence: 85%
Legitimate municipal website with no detected threats.
Safety Factors
Details
Page Title
TOWN OF CARROLLTON - Home
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'www.carrolltonny.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'carrolltonny' stretches across 12 characters containing three vowels alongside 9 consonants. Tokenizing the label suggests 2 words: carrollton, ny. The median word length lands at 6 characters. 'carrollton' most strongly signals Vietnamese. Secondary signals appear in Norwegian and Danish.
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 |
|---|---|---|---|
| 12 | 142.250.185.106 | United States | AS15169GOOGLE |
| 4 | 142.250.184.195 | United States | AS15169GOOGLE |
| 4 | 104.21.48.184 | United States | AS13335CLOUDFLARENET |
| 4 | 146.75.121.46 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 216.58.206.72 | United States | AS15169GOOGLE |
| 4 | 45.76.15.200 | Piscataway, New Jersey, United States | AS20473AS-VULTR |
| 4 | 172.67.155.189 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:80f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 2a04:4e42:8e::302 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 2606:4700:3030::ac43:9bbd | United States | AS13335CLOUDFLARENET |
| 60 | 13 | - | - |
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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