Summary
This website contacted 8 IPs in 2 countries across 3 domains to perform 81 HTTP transactions. The main domain is worthtownshipmi.gov and was registered NaN years ago.
Submitted URL: https://worthtownshipmi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Worth Township – Sanilac County, MI
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'worthtownshipmi.gov' is registered and has no subdomain. The second-level label 'worthtownshipmi' is 15 characters long with 4 vowels and eleven consonants. Word splitting yields three words: worth, township, mi. Median word length is five characters. The linguistic tilt is Esperanto for 'mi'. You will also see it in Turkish and Bosnian contexts.
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 |
|---|---|---|---|
| 10 | 50.28.9.200 | United States | AS32244LIQUIDWEB |
| 10 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 2a02:26f0:3500:8::210:a5d | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 2a02:26f0:3500:8::210:a58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 81 | 8 | - | - |
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