Summary
This website contacted 62 IPs in 2 countries across 12 domains to perform 67 HTTP transactions. The main domain is townoflynneoneidactywi.gov and was registered NaN years ago.
Submitted URL: https://townoflynneoneidactywi.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Lynne – Oneida County, WI
Scan Type
public
Language
English
Category
government
(48%)Domain Information
You're looking at domain 'townoflynneoneidactywi.gov' on the United States government-restricted top-level domain (.gov) without a subdomain. The second-level label 'townoflynneoneidactywi' is 22 characters long split between eight vowels and 14 consonants. Tokenizing the label suggests seven words: town, of, lynne, oneida, c, ty, wi. Average segment length settles at two 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 |
|---|---|---|---|
| 6 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 54.186.130.23 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.207.82 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.37.116 | United States | AS13335CLOUDFLARENET |
| 1 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 67 | 62 | - | - |
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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