Security Scan Report: greenislemn.gov

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Submitted: Oct 6, 2025, 6:49:51 PMCompleted: Oct 6, 2025, 6:50:56 PMpubliccompleted
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Summary

This website contacted 23 IPs in 2 countries across 8 domains to perform 35 HTTP transactions. The main domain is greenislemn.gov and was registered NaN years ago.

Submitted URL: https://greenislemn.gov/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate City of Green Isle government website with no signs of phishing or malware.

Safety Factors
.gov top‑level domain
Established domain age
Absence of phishing indicators (no password fields, no urgent language)
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Homepage - City of Green Isle

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(62%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'greenislemn.gov' is registered with no subdomain. The registrable portion 'greenislemn' spans 11 characters holding 4 vowels versus 7 consonants. Tokenizing the label suggests three words: green, isle, mn. Expect four characters per word on average. 'green' is most common in English usage. It also appears in French and Dutch contexts.

Screenshot

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

Page Load Overview

20.42s
Total Load Time
35
HTTP Requests
8
Domains
859 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:3,197 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
62%
government
48%
forum community discussion
39%
corporate
35%
social media network
25%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.250.181.234United States
AS15169GOOGLE
1184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.184.232United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1184.24.77.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1172.67.142.245United States
AS13335CLOUDFLARENET
1142.250.184.238United States
AS15169GOOGLE
1184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1216.239.34.36United States
AS15169GOOGLE
1184.24.77.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3523--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E73A7B28515143E165F1F8C91A4770B72B9928EDE060ED0B1F8ED9CD2DCEE9687324B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UmUPapsxg7JHtytKtHLzw9XjCzIfe/Am/:UmtSg7JfXw9s/V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75305:rNQQqPKBCAiWIAAQG0EwCFYCAesNDwNgFgIEQOEcKBaEsIgzEE2MIBxNVYDQBQhFh6uCAITDgVg4AVBCAwMSJQMAIBSA4BCI

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:ffff0c0c040406ff
Perceptual Hash:94dbed26ab115748
Difference Hash:2a30b89c9cdcfc33
Wavelet Hash:ffff0c0c040602ff
Color Hash:#b5e06c

Scan History

Scan history not available

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