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Security Scan Report: moselwi.gov

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Submitted: Oct 23, 2025, 7:21:49 AMCompleted: Oct 23, 2025, 7:22:57 AMpubliccompleted
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Summary

This website contacted 47 IPs in 2 countries across 11 domains to perform 72 HTTP transactions. The main domain is moselwi.gov and was registered NaN years ago.

Submitted URL: https://moselwi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate town website with no security concerns.

Safety Factors
Official government domain (.gov)
Established domain age (>4 years)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No external links or redirects
Domain age information unavailable

Details

Page Title

Town of Mosel – Wisconsin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(92%)

Domain Information

Domain 'moselwi.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'moselwi' stretches across 7 characters holding 3 vowels versus 4 consonants. Splitting it apart reveals two words: mosel, wi. Median word length comes out to 3.5 characters. 'morsel' most strongly signals English. Secondary signals appear in Indonesian and Dutch.

Screenshot

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

Page Load Overview

31.75s
Total Load Time
72
HTTP Requests
11
Domains
1.4 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-US
Text Length:3,468 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
92%
government
48%
documentation technical
32%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2652.26.153.139Boardman, Oregon, United States
AS16509AMAZON-02
135.83.74.241Boardman, Oregon, United States
AS16509AMAZON-02
1104.16.175.226United States
AS13335CLOUDFLARENET
1104.17.24.14United States
AS13335CLOUDFLARENET
137.19.194.80Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1104.17.25.14United States
AS13335CLOUDFLARENET
179.127.211.89Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.250.186.168United States
AS15169GOOGLE
1142.250.185.195United States
AS15169GOOGLE
7247--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149E34AB275C43433225363E9F0AA6605FA724127DB02896473FD6AE85FC5DEA147363C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rq+V7th6H8+lf7ND2FYxEmTLqA4cH/NZe2nUmNTm:OBlf7J4cy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148464:EwCYogB2RiAcwBC0gImUCDEgcSgyYs6oha6SRIAigRbxIBUAEiAwUICgsIOBJRYA0AuOQcAJEC8AMCyB8OBAGLArYgAPKVly

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:ffffdf9f1f110000
Perceptual Hash:8cf3630c7f4d201f
Difference Hash:23f0b03031a3e3d5
Wavelet Hash:dfff1f1f1f110000
Color Hash:#9479d2

Other Hashes

Crop Resistant:23f0b03031a3e3d5,0024c9f171062000,0d0d1d1d7d747474,a72d0d0d0d0d0d0d,b0b7a5e3f2bcd1d4

Scan History

Scan history not available

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