Summary
This website contacted 37 IPs in 2 countries across 7 domains to perform 83 HTTP transactions. The main domain is arcadia-fl.gov.
Submitted URL: https://arcadia-fl.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal site with no apparent security threats.
Safety Factors
Details
Page Title
City of Arcadia – See our famous historic downtown antique district.
Scan Type
public
Language
English
Category
government public service
(56%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'arcadia-fl.gov' is registered and has no subdomain. The second-level label 'arcadia-fl' is 10 characters long containing four vowels alongside 5 consonants; it also includes one hyphen. It segments into 2 words: arcadia, fl. Average segment length settles at 4.5 characters. 'arcadia' most strongly signals Malay. Secondary signals appear in English and Icelandic. Taken together, it feels Malay 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 |
|---|---|---|---|
| 11 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 44.231.208.150 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 67.227.190.184 | United States | AS32244LIQUIDWEB |
| 2 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 52.24.165.83 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 52.35.175.126 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.185.195 | United States | AS15169GOOGLE |
| 83 | 37 | - | - |
Detected Technologies10
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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