Summary
This website contacted 38 IPs in 2 countries across 10 domains to perform 208 HTTP transactions. The main domain is paviliontwpmi.gov.
Submitted URL: https://www.paviliontwpmi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate township website with no security concerns.
Safety Factors
Details
Page Title
HOME | pavilion-township
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'www.paviliontwpmi.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The second-level label 'paviliontwpmi' is 13 characters long split between 5 vowels and 8 consonants. Tokenizing the label suggests four words: pavilion, t, wp, mi. Expect 2 characters per word on average. 't' most often appears in Esperanto. It also appears in Turkish and Bosnian contexts. Taken together, it feels Esperanto.
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 |
|---|---|---|---|
| 23 | 99.86.4.79 | United States | AS16509AMAZON-02 |
| 5 | 98.91.97.160 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 34.201.196.32 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 5 | 34.192.203.197 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 54.204.203.119 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 34.203.1.235 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 142.250.184.234 | United States | AS15169GOOGLE |
| 5 | 34.225.247.159 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 208 | 38 | - | - |
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
Scan History
Scan history not available
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