Summary
This website contacted 34 IPs in 1 country across 8 domains to perform 50 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: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Hobart Township | Otter Tail County, MN | Official Website
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'www.hobartmn.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The registrable portion 'hobartmn' spans 8 characters split between 2 vowels and six consonants. Segmentation suggests 2 words: hobart, mn. Expect four characters per word on average. Most frequently, 'hobart' shows up in French. You may catch it in English and Indonesian as well. Taken together, it feels French.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 17 | 98.88.208.241 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 1 | 44.197.2.18 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 3.167.227.129 | United States | AS16509AMAZON-02 |
| 1 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 1 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 50 | 34 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data