Summary
This website contacted 71 IPs in 2 countries across 12 domains to perform 69 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: 95%
The site shows no security concerns and appears to be a legitimate municipal page.
Safety Factors
Details
Page Title
Town of Lynne – Oneida County, WI
Scan Type
public
Language
English
Category
other
(60%)Domain Information
The domain name 'townoflynneoneidactywi.gov' uses the United States government-restricted top-level domain (.gov). Count 22 characters in 'townoflynneoneidactywi' split between eight vowels and 14 consonants. It segments into 7 words: town, of, lynne, oneida, c, ty, wi. The median word length lands at two characters. 'town' most strongly signals Chinese (Pinyin). You will also see it in English and Chinese (Zhuyin) contexts. Overall, 'townoflynneoneidactywi.gov' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 69 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.185.200 | United States | AS15169GOOGLE |
| 0 | 44.233.133.13 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 0 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 0 | 52.36.128.106 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 172.67.207.82 | United States | AS13335CLOUDFLARENET |
| 69 | 71 | - | - |
Detected Technologies16
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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