Security Scan Report: fennville.gov

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Submitted: Nov 27, 2025, 11:37:59 PMCompleted: Nov 27, 2025, 11:42:48 PMpubliccompleted
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Summary

This website contacted 75 IPs in 2 countries across 9 domains to perform 71 HTTP transactions. The main domain is fennville.gov.

Submitted URL: https://fennville.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

City of Fennville - A Place to Grow

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

The domain 'fennville.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'fennville' is 9 characters long with three vowels and 6 consonants. Segmentation suggests three words: fen, n, ville. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.98s
Total Load Time
71
HTTP Requests
9
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:2,699 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
71142.250.186.110United States
AS15169GOOGLE
5013.89.172.17Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10142.250.185.110United States
AS15169GOOGLE
2216.58.206.65United States
AS15169GOOGLE
2142.250.184.195United States
AS15169GOOGLE
223.36.162.203Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1216.58.206.34United States
AS15169GOOGLE
1142.250.185.138United States
AS15169GOOGLE
1142.250.184.228United States
AS15169GOOGLE
1142.250.186.38United States
AS15169GOOGLE
7175--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5D3F810557E193B826B01D57EEF1B8F25F64187D1C9AA51F99CCE080FC6DD02AA2B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:89NhnVbeRCu6nGsT/MfDXNUN892JIOtC18VX2hN7Uvwo9EDr/HVVYW0OPv2w:89NhMCu+cXNUN892JIOtC18VX2hBUvwl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:131940:AAEBQCBAMYC4BQAhgAhEPAij4wQOFHmYuIT6Q8BBMQgqQAhgLUjweMsIgQggGIUYxogNRYMGlAECCoBAkKIR2QuAlgBUiLmw

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:ffffe100ffff3c00
Perceptual Hash:82fd6295294aa5eb
Difference Hash:742983fdfcfced8d
Wavelet Hash:bff501007f7f3c00
Color Hash:#2d8633

Scan History

Scan history not available

Unable to load historical scan data