Security Scan Report: www.townofdunnwi.gov

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Submitted: Oct 6, 2025, 6:58:37 PMCompleted: Oct 6, 2025, 6:59:26 PMpubliccompleted
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Summary

This website contacted 29 IPs in 1 country across 8 domains to perform 173 HTTP transactions. The main domain is townofdunnwi.gov and was registered NaN years ago.

Submitted URL: https://www.townofdunnwi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate government website with minimal risk.

Safety Factors
Established domain age
Official .gov TLD
Absence of credential‑harvesting forms
No malicious Indicators of Compromise
Transparent contact information
Domain age information unavailable

Details

Page Title

HOME | The Town of Dunn, Dane County, WI | 4156 County Road B, McFarland, WI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'www.townofdunnwi.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'townofdunnwi' spans 12 characters split between 4 vowels and eight consonants. Tokenizing the label suggests 4 words: town, of, dunn, wi. Median word length comes out to 3 characters. The linguistic tilt is Chinese (Pinyin) for 'town'. Secondary signals appear in English and Dutch.

Screenshot

Security scan screenshot of https://www.townofdunnwi.gov/

Page Load Overview

26.77s
Total Load Time
173
HTTP Requests
8
Domains
3.6 MB
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
Text Length:1,785 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
government public service
39%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3334.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
5151.101.194.217San Francisco, California, United States
AS54113FASTLY
552.7.44.213Ashburn, Virginia, United States
AS14618AMAZON-AES
599.86.4.125United States
AS16509AMAZON-02
5100.29.147.205Ashburn, Virginia, United States
AS14618AMAZON-AES
554.166.192.105Ashburn, Virginia, United States
AS14618AMAZON-AES
534.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.203.1.235Ashburn, Virginia, United States
AS14618AMAZON-AES
534.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
599.86.4.90United States
AS16509AMAZON-02
17329--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D630831F60C1D3F213349CCB9B6535A7053E919CB4A0860AEAC23762BD6DF6364B64E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+7cBAt/EvB2awVawba6RvBARvKRvdRvOdDRPh8dDdL5B6eYHbgByj7VAeeeneeYa:+3kwow+6DuQy2/K/7RxRn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72774:2HqRCQOAQDNCg0gBARsEviCCZlCVyMHUoM4DDpAKTISkSuVFBZUIFgEDkGWirQISRwUOLmADCqGcEBEGAIkmBAbTAAA2DCxD

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:ff43183c18001f3f
Perceptual Hash:8bc0b1f6ce8b6515
Difference Hash:019efb61693ffb7b
Wavelet Hash:ff07183c38000fff
Color Hash:#3a785e

Scan History

Scan history not available

Unable to load historical scan data