Summary
This website contacted 22 IPs in 2 countries across 7 domains to perform 30 HTTP transactions. The main domain is pinecitytownshipmn.gov and was registered NaN years ago.
Submitted URL: https://www.pinecitytownshipmn.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate township website with no security concerns.
Safety Factors
Details
Page Title
Pine City Township
Scan Type
public
Language
English
Category
government public service
(84%)Domain Information
Domain 'www.pinecitytownshipmn.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The core label 'pinecitytownshipmn' covers 18 characters containing five vowels alongside 13 consonants. Tokenizing the label suggests four words: pine, city, township, mn. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 9 | 198.49.23.144 | United States | AS53831SQUARESPACE |
| 1 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.197.143.105 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 184.24.77.158 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.152 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 30 | 22 | - | - |
Detected Technologies5
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
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