Security Scan Report: union.floridapa.com

Submitted: Oct 19, 2025, 9:29:35 AMCompleted: Oct 19, 2025, 9:29:43 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is union.floridapa.com and was registered NaN years ago.

Submitted URL: https://union.floridapa.com/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Union County Property Appraiser - Bruce D. Dukes | Lake Butler, Florida | 386-496-3431

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

real estate property

(85%)

Domain Information

Within the commercial generic top-level domain (.com), 'union.floridapa.com' is registered, featuring subdomain 'union'. Count 9 characters in 'floridapa' with four vowels and 5 consonants. Splitting it apart reveals 2 words: florida, pa. Average segment length settles at 4.5 characters. 'florida' most often appears in Slovenian. You may catch it in Tagalog and Bosnian as well. Taken together, it feels Slovenian.

Screenshot

Security scan screenshot of https://union.floridapa.com/

Page Load Overview

5.62s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-us
Text Length:2,973 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
85%
government public service
81%
documentation technical
29%

Detected Features

No structural features detected

Detected Technologies2

Content Similarity HashesFor malware variant detection

Image Hashes

Perceptual Hashes

Average Hash:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data