Summary
This website contacted 8 IPs in 3 countries across 3 domains to perform 119 HTTP transactions. The main domain is addisontownshipmi.gov and was registered NaN years ago.
Submitted URL: https://addisontownshipmi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate township website with no security concerns.
Safety Factors
Details
Page Title
Addison Township – Leonard, MI
Scan Type
public
Language
English
Category
government public service
(76%)Domain Information
The domain name 'addisontownshipmi.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'addisontownshipmi' is 17 characters long with six vowels and eleven consonants. Word splitting yields three words: addison, township, mi. Expect 7 characters per word on average. 'mi' is most common in Esperanto usage. Secondary signals appear in Turkish and Bosnian.
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 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 50.28.9.200 | United States | AS32244LIQUIDWEB |
| 14 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 72.247.176.16 | Manchester, England, United Kingdom | AS20940Akamai International B.V. |
| 14 | 2a02:26f0:3500:8::210:a58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 72.247.176.57 | Manchester, England, United Kingdom | AS20940Akamai International B.V. |
| 14 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 2a02:26f0:3500:8::210:a5d | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 119 | 8 | - | - |
Detected Technologies9
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
Scan History
Scan history not available
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