Summary
This website contacted 9 IPs in 3 countries across 3 domains to perform 115 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%
No security concerns detected; site appears legitimate.
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). The registrable portion 'addisontownshipmi' spans 17 characters holding 6 vowels versus eleven consonants. Segmentation suggests 3 words: addison, township, mi. Median word length comes out to 7 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 |
|---|---|---|---|
| 110 | 50.28.9.200 | United States | AS32244LIQUIDWEB |
| 19 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 12 | 213.155.157.171 | Belgium | AS1299Arelion Sweden AB |
| 12 | 2a02:26f0:3500:8::210:a58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 12 | 213.155.157.163 | Belgium | AS1299Arelion Sweden AB |
| 12 | 2a02:26f0:3500:8::210:a44 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 12 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 115 | 9 | - | - |
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
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