Summary
This website contacted 13 IPs in 2 countries across 4 domains to perform 27 HTTP transactions. The main domain is oronocotownship-mn.gov and was registered NaN years ago.
Submitted URL: https://oronocotownship-mn.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Oronoco Township – Olmsted County, Minnesota.
Scan Type
public
Language
English
Category
government public service
(73%)Domain Information
The domain name 'oronocotownship-mn.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The second-level label 'oronocotownship-mn' is 18 characters long containing six vowels alongside eleven consonants; bonus characters include one hyphen. Word splitting yields 4 words: orono, co, township, mn. Average segment length settles at 3.5 characters. 'co' most often appears in Polish. It also appears in Czech and English contexts. Taken together, it feels Polish with character flair.
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 |
|---|---|---|---|
| 13 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 4 | 142.250.184.227 | United States | AS15169GOOGLE |
| 3 | 142.250.186.99 | United States | AS15169GOOGLE |
| 3 | 142.250.185.227 | United States | AS15169GOOGLE |
| 2 | 142.250.186.35 | United States | AS15169GOOGLE |
| 2 | 141.193.213.10 | United States | AS209242Cloudflare London, LLC |
| 2 | 142.250.186.67 | United States | AS15169GOOGLE |
| 2 | 2a00:1450:4001:830::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 2a00:1450:4001:82f::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 2a00:1450:4001:831::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 27 | 13 | - | - |
Detected Technologies11
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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