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Security Scan Report: townofgreengrovewi.gov

Submitted: Nov 6, 2025, 5:00:32 AMCompleted: Nov 6, 2025, 5:02:10 AMpubliccompleted
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Summary

This website contacted 61 IPs in 2 countries across 11 domains to perform 78 HTTP transactions. The main domain is townofgreengrovewi.gov and was registered NaN years ago.

Submitted URL: https://townofgreengrovewi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Established government domain (.gov)
Well‑established domain age
Only standard contact/search forms present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Township of Green Grove – Owen, Wisconsin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'townofgreengrovewi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'townofgreengrovewi' is 18 characters long holding seven vowels versus eleven consonants. Word splitting yields five words: town, of, green, grove, wi. Median word length comes out to 4 characters. 'town' most often appears in Chinese (Pinyin). You may catch it in English and Dutch as well. Net impression: Chinese (Pinyin) phrase.

Screenshot

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

Page Load Overview

37.90s
Total Load Time
78
HTTP Requests
11
Domains
521 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:3,192 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
other
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.67.146.61United States
AS13335CLOUDFLARENET
152.32.73.77Boardman, Oregon, United States
AS16509AMAZON-02
1162.247.243.39United States
AS54113FASTLY
144.235.219.138Boardman, Oregon, United States
AS16509AMAZON-02
137.19.194.81Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
179.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1162.247.241.14United States
AS23467NEWRELIC-AS-1
1195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.250.186.168United States
AS15169GOOGLE
7861--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14394A5E0106B5004A7875CC663DF3E16E99DB117E445C52C7FFD2888AFEAD2603A27AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1EyhMKVUvgIlR8G82fN4W4e4lvVvAZ4hyErbiCT1EDic+W:S1lRj8gtfZ4hyx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:446161:Ex6GAQYBNooCIEIZGCxQhgggAKU4eWaeUQgEyAvhodQOAjsQgI3iIBgQJeLJIQjBFgSQApQZoC40JIMoACQcJQCEMjAYrKgT

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:0000000000ffffff
Perceptual Hash:ea0eb5e3189ce962
Difference Hash:01093171191b8617
Wavelet Hash:00000018f9ffffff
Color Hash:#931f6d

Other Hashes

Crop Resistant:01093171191b8617,393bb3c8d094ad0d,2a1b32e4cabaa8e9,000008303271329d

Scan History

Scan history not available

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