Summary
This website contacted 79 IPs in 2 countries across 17 domains to perform 121 HTTP transactions. The main domain is townofthreelakeswi.gov and was registered NaN years ago.
Submitted URL: https://townofthreelakeswi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Three Lakes, Oneida County, Wisconsin – Official Website of Three Lakes
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'townofthreelakeswi.gov' is registered while skipping any subdomain. The core label 'townofthreelakeswi' covers 18 characters split between 7 vowels and eleven consonants. It segments into five words: town, of, three, lakes, wi. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 43 | 142.250.185.138 | United States | AS15169GOOGLE |
| 1 | 35.155.249.92 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 216.58.206.67 | United States | AS15169GOOGLE |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 79.127.216.204 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 121 | 79 | - | - |
Detected Technologies9
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
Scan history not available
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