Security Scan Report: berglandmi.gov

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Submitted: Oct 26, 2025, 7:35:17 AMCompleted: Oct 26, 2025, 7:36:51 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 5 domains to perform 69 HTTP transactions. The main domain is berglandmi.gov and was registered NaN years ago.

Submitted URL: https://berglandmi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate Bergland Township government website.

Safety Factors
Official government TLD (.gov)
Clear public service information and contact details
No suspicious external links except a legitimate web‑design partner
Domain age information unavailable

Details

Page Title

Home - Bergland Township - Upper Peninsula of Michigan

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'berglandmi.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'berglandmi' covers 10 characters containing three vowels alongside seven consonants. It segments into three words: berg, land, mi. Average segment length settles at four characters. 'land' most strongly signals Esperanto. You may catch it in Turkish and Bosnian as well. Net impression: Esperanto phrase.

Screenshot

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

Page Load Overview

28.59s
Total Load Time
69
HTTP Requests
5
Domains
5.1 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:5,372 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
other
47%
corporate
35%
legitimate website
27%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
474.208.236.24United States
AS8560IONOS SE
4142.250.185.234United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
4142.250.181.227United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
4216.58.206.72United States
AS15169GOOGLE
42001:4860:4802:32::36United States
AS15169GOOGLE
42a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:81c::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
4142.250.185.170United States
AS15169GOOGLE
6915--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17544B6CFDF3631B53207D355BDA5A738D1AC8117EA0119E1BC70E668ABC326306B616E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:kuSiBJXSQ3fucSH54skc2XVeIUjnEgIPXq4k3e+8w8mGwYgMHz:kuSiBJXSQ3fucSH54skc2XVeIUjnEgI7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:271897:KFVAaagKHIQQuCwAcAQBQE0A0UB6lF3BBSwKAMEwUAGZIoUQkBQNMYigAJfFBCAxQeRsSDTCMBCiidrYFboIeKBYyKAYAoaa

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:fffffff7f0f07000
Perceptual Hash:ee95994c62a6b1c9
Difference Hash:24242c252547c3d1
Wavelet Hash:fffffff0f0000000
Color Hash:#1f7293

Scan History

Scan history not available

Unable to load historical scan data