Security Scan Report: www.hobartmn.gov

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Submitted: Oct 9, 2025, 12:11:20 PMCompleted: Oct 9, 2025, 12:12:46 PMpubliccompleted
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Summary

This website contacted 56 IPs in 1 country across 10 domains to perform 136 HTTP transactions. The main domain is hobartmn.gov and was registered NaN years ago.

Submitted URL: https://www.hobartmn.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
Provides public meeting minutes, policies, and contact information
Domain age of 222 days (established for several months)
Domain age information unavailable

Details

Page Title

Hobart Township | Otter Tail County, MN | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.hobartmn.gov' is registered; it also runs on subdomain 'www'. The second-level label 'hobartmn' is 8 characters long holding 2 vowels versus six consonants. Segmentation suggests 2 words: hobart, mn. Average segment length settles at 4 characters. 'hobart' most often appears in French. You will also see it in English and Indonesian contexts. Taken together, it feels French.

Screenshot

Security scan screenshot of https://www.hobartmn.gov/

Page Load Overview

29.83s
Total Load Time
136
HTTP Requests
10
Domains
1.9 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
Text Length:2,554 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
36%
documentation technical
35%
news media journalism
27%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2634.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
299.86.4.105United States
AS16509AMAZON-02
254.166.192.105Ashburn, Virginia, United States
AS14618AMAZON-AES
234.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
234.201.196.32Ashburn, Virginia, United States
AS14618AMAZON-AES
299.86.4.90United States
AS16509AMAZON-02
252.7.44.213Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.186.74United States
AS15169GOOGLE
2142.250.186.170United States
AS15169GOOGLE
2142.250.185.74United States
AS15169GOOGLE
13656--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FA4AEB47745343E965702EEA7663B1C3025B012ED924920F9BDB2741AE2DF632E336D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+la1JC8FFrDdjqXh/2MrL2xVuxPYXLdUY30TeW6UzhE9X/L/QRMRXqL7AMbyV292:+la1r9WB2MrL23wWt0TbzgccXcEIyF8o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:477762:BB5AQAo5o3QcogJQcDIOEOEOUIAOgwSYtIgEEBFjECEkLnyRARSyoxIAlBAnMgSAYGQwIuwgNggsgAAUSurpGEXHoMFkHCCB

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:00ffff87cfeffffe
Perceptual Hash:b20e4d322b7c2ed5
Difference Hash:2d58353d9d8c0c42
Wavelet Hash:00ff1f01c7cfc6e0
Color Hash:#78663a

Scan History

Scan history not available

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