Summary
This website contacted 27 IPs in 2 countries across 17 domains to perform 184 HTTP transactions. The main domain is hagartownship.gov and was registered NaN years ago.
Submitted URL: http://www.hagartownship.gov/
Effective URL: https://www.hagartownship.gov/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Welcome to Hagar, MI
Scan Type
public
Language
English
Category
government public service
(66%)Domain Information
The domain name 'www.hagartownship.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Count 13 characters in 'hagartownship' holding four vowels versus 9 consonants. Breaking it apart gives 2 words: hagar, township. Median word length is 6.5 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 |
|---|---|---|---|
| 28 | 142.250.185.200 | United States | AS15169GOOGLE |
| 6 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 142.250.185.142 | United States | AS15169GOOGLE |
| 6 | 172.217.18.3 | United States | AS15169GOOGLE |
| 6 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 172.67.147.249 | United States | AS13335CLOUDFLARENET |
| 6 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 6 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 184 | 27 | - | - |
Detected Technologies3
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
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