Summary
This website contacted 16 IPs in 2 countries across 7 domains to perform 32 HTTP transactions. The main domain is moetownshipmn.gov and was registered NaN years ago.
Submitted URL: https://www.moetownshipmn.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Site shows no security threats and appears to be a legitimate township website.
Safety Factors
Details
Page Title
Moe Township
Scan Type
public
Language
English
Category
documentation technical
(90%)Domain Information
The domain name 'www.moetownshipmn.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'moetownshipmn' covers 13 characters with 4 vowels and 9 consonants. Splitting it apart reveals 3 words: moe, township, mn. The median word length lands at 3 characters. The linguistic tilt is English for 'moe'. Secondary signals appear in Dutch and 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 |
|---|---|---|---|
| 2 | 172.217.18.10 | United States | AS15169GOOGLE |
| 2 | 198.49.23.145 | United States | AS53831SQUARESPACE |
| 2 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 198.185.159.144 | New York, New York, United States | AS53831SQUARESPACE |
| 2 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.58.206.42 | United States | AS15169GOOGLE |
| 32 | 16 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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