Security Scan Report: www.townofdunnwi.gov

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Submitted: Dec 20, 2025, 7:00:46 PMCompleted: Dec 20, 2025, 7:01:34 PMpubliccompleted
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Summary

This website contacted 11 IPs in 1 country across 7 domains to perform 121 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%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Established government domain (.gov)
Long domain age with minimal risk category
Absence of credential‑harvesting or payment forms
No external links or suspicious redirects
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

You're looking at domain 'www.townofdunnwi.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The core label 'townofdunnwi' covers 12 characters with 4 vowels and eight consonants. Breaking it apart gives four words: town, of, dunn, wi. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.93s
Total Load Time
121
HTTP Requests
7
Domains
1.3 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:1,764 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
government public service
32%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1165.8.131.77United States
AS16509AMAZON-02
11151.101.194.217United States
AS54113FASTLY
1134.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1165.8.131.55United States
AS16509AMAZON-02
1113.219.189.229Ashburn, Virginia, United States
AS14618AMAZON-AES
1165.8.131.125United States
AS16509AMAZON-02
1154.85.90.58Ashburn, Virginia, United States
AS14618AMAZON-AES
113.83.210.77Ashburn, Virginia, United States
AS14618AMAZON-AES
1134.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1134.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
12111--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4E47D6461046C3E4FDB22DD7912BE0D60F8582AD985462FF8ED5D6C3DE3ADC128722B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:aI6k51k5RAoC8FFrDd7MDeG+w+6fwf/NuUDvLPKheaY4Be1s16u6qL7AM5Df9egE:aI6k51k5R997MDeNZLPKhM4BscEhQzFA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:668938:ZI5BWgYoSECCBKYsACpawhCIAJyIFBQQtGphkxWSCVRQjAEJMpBhFIRRMEwG3ggQEHKwIUQCKdE0w5QVULigBBhMWGBG7IIh

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:ffffff00007f7fff
Perceptual Hash:80fffd80272298ed
Difference Hash:0000a8cdce80a8ae
Wavelet Hash:ffff0200007f464f
Color Hash:#b1d22d

Scan History

Scan history not available

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