Security Scan Report: townoflynneoneidactywi.gov

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Submitted: Nov 22, 2025, 7:44:40 PMCompleted: Nov 22, 2025, 7:46:22 PMpubliccompleted
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Summary

This website contacted 62 IPs in 2 countries across 12 domains to perform 65 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%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established .gov domain
No credential or payment collection forms
No suspicious external links
Domain age information unavailable

Details

Page Title

Town of Lynne – Oneida County, WI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'townoflynneoneidactywi.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 22 characters in 'townoflynneoneidactywi' with eight vowels and 14 consonants. Tokenizing the label suggests 7 words: town, of, lynne, oneida, c, ty, wi. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://townoflynneoneidactywi.gov/

Page Load Overview

0.77s
Total Load Time
65
HTTP Requests
12
Domains
888 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,927 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
41%
adult content
32%
phishing scam
28%
documentation technical
28%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28172.67.207.82United States
AS13335CLOUDFLARENET
8212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6104.21.37.116United States
AS13335CLOUDFLARENET
5104.21.27.152United States
AS13335CLOUDFLARENET
3142.250.186.163United States
AS15169GOOGLE
3142.250.185.234United States
AS15169GOOGLE
244.255.226.154Boardman, Oregon, United States
AS16509AMAZON-02
2104.16.174.226United States
AS13335CLOUDFLARENET
2104.17.25.14United States
AS13335CLOUDFLARENET
1142.250.185.232United States
AS15169GOOGLE
6562--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1499309F2958C503B351762CCA1897618B5998137CB028E94BAFC72689FC6FF605F762C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EB8FgFfapAUzNh4eiBvjh+n7GJWZO7S2zn1QbfVArs5Xu6Bzr/zEVYkL3R6ZfdIw:EB8ZnzNh4eiBvjhPSbsc9EVYkL3R6fdX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89691:AGfEAowRhhSEwHpHQmlZtYSiQBeIIWkFAEAzAEANAAAksEGpRWBqS2DCgDHQ44gCBKgAUrBIC0MGAh4YIYCpAqFRjgzAsisL

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

Average Hash:efffff3c0000ffff
Perceptual Hash:c2f7f54802f3612d
Difference Hash:dda28ee8e1e15c96
Wavelet Hash:00feef240000ffff
Color Hash:#9ad279

Scan History

Scan history not available

Unable to load historical scan data