Security Scan Report: www.hobartmn.gov

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Submitted: Oct 2, 2025, 11:36:46 PMCompleted: Oct 2, 2025, 11:38:47 PMpubliccompleted
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Summary

This website contacted 55 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 to be a legitimate Hobart Township government website with no malicious activity detected.

Safety Factors
.gov top‑level domain indicates official government ownership
Absence of login, password, or payment fields
No malicious Indicators of Compromise detected
Consistent official branding and contact information
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%)

Screenshot

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

Page Load Overview

61.98s
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
2834.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2216.239.34.36United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
234.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2142.250.185.74United States
AS15169GOOGLE
299.86.4.90United States
AS16509AMAZON-02
2151.101.66.217San Francisco, California, United States
AS54113FASTLY
299.86.4.79United States
AS16509AMAZON-02
252.7.44.213Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.186.42United States
AS15169GOOGLE
13655--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190A4AEB47745343E965702EEA7663B1C3025B011ED928920F9BDB2741AE2DF632E336D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+oa16C8FFrDdjqXh/2MrL2xVEHPYXndUY30TeW6UzhE9X/+/0R7R/qL7AMkIyV2w:+oa1K9WB2MrL23sot0Tbzgxd/cEeKF8o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:477073:OZMKpoCCcS6aIUAKwiKgCwABCTAQEoCsVglUigKgIERCCkUrAFuABKQ6UI8ILQpAsQQYH1CXClomF0gBHOlWlNOCFQwFQBdA

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:#406cbf

Scan History

Scan history not available

Unable to load historical scan data