Summary
This website contacted 37 IPs in 1 country across 8 domains to perform 129 HTTP transactions. The main domain is eckfordtownshipmi.gov and was registered NaN years ago.
Submitted URL: https://www.eckfordtownshipmi.gov/
AI Security Verdict
Moderate Risk
Confidence: 78%
Site appears legitimate but contains a suspicious external Wix link, so caution is advised.
Risk Factors
Safety Factors
Details
Page Title
Home | Eckford Township
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'www.eckfordtownshipmi.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Its registrable label 'eckfordtownshipmi' stretches across 17 characters with 5 vowels and 12 consonants. Segmentation suggests 4 words: eck, ford, township, mi. Median word length is 3.5 characters. The linguistic tilt is Esperanto for 'for'. You may catch it in Turkish and Bosnian as well.
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 |
|---|---|---|---|
| 21 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 3.167.227.108 | United States | AS16509AMAZON-02 |
| 3 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 3 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 34.202.157.126 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 3 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 98.90.150.80 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 98.91.139.188 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 129 | 37 | - | - |
Detected Technologies7
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