Summary
This website contacted 13 IPs in 2 countries across 6 domains to perform 77 HTTP transactions. The main domain is cityofroyaltonmn.gov and was registered NaN years ago.
Submitted URL: https://cityofroyaltonmn.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no apparent security threats
Safety Factors
Details
Page Title
Royalton, MN
Scan Type
public
Language
English
Category
government public service
(78%)Domain Information
The domain 'cityofroyaltonmn.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The core label 'cityofroyaltonmn' covers 16 characters containing five vowels alongside eleven consonants. Segmentation suggests 4 words: city, of, royalton, mn. The median word length lands at 3 characters. The linguistic tilt is English for 'city'. Usage also turns up in Chinese (Pinyin) and Indonesian 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 |
|---|---|---|---|
| 17 | 34.231.125.22 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 5 | 216.58.206.42 | United States | AS15169GOOGLE |
| 5 | 142.250.181.227 | United States | AS15169GOOGLE |
| 5 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 5 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 5 | 2606:4700::6811:180e | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 5 | 2a06:98c1:3101::ac40:93bc | United States | AS13335CLOUDFLARENET |
| 5 | 2a00:1450:4001:828::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 77 | 13 | - | - |
Detected Technologies8
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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