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LIMITED DATA

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Security Scan Report: greenacresfl.gov

Submitted: Dec 15, 2025, 8:47:50 PMCompleted: Dec 15, 2025, 8:48:38 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is greenacresfl.gov and was registered NaN years ago.

Submitted URL: https://greenacresfl.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no apparent security risks.

Safety Factors
Government domain with verified registration date
Long domain age indicating stability
Absence of suspicious forms or data collection fields
No external links or third‑party content observed
Domain age information unavailable

Details

Page Title

Greenacres Home Page - News & Announcements | Greenacres Florida

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

Domain 'greenacresfl.gov' uses the United States government-restricted top-level domain (.gov). Count 12 characters in 'greenacresfl' containing four vowels alongside eight consonants. Tokenizing the label suggests three words: green, acres, fl. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://greenacresfl.gov/

Page Load Overview

8.18s
Total Load Time
3
HTTP Requests
1
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
Text Length:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
67%
government public service
59%
adult content
57%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDB3F92294D13013025790C63960772FA3A7D25BEE430A44BBECD7459BCBE4A9DBB27D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Q79smKD8Q8QpVysYk/zLYeee8SEH4MgZ1A7os9V9o21EqWnhuwGuwM9+eoePeTtU:Q79smKxysLLqHZENIwQt7g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109081:QFQEIIAEArVigQIxIBlgJ3QMuAHQmGCAcHLSUMACIoIEuUDG+FEAcSA6AlAmMsScKEX2YiCIBICoKEkASQArwQIFMhEywM6t

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

Average Hash:00c3e30181c100ff
Perceptual Hash:ab32d4698a12f747
Difference Hash:59831f190b13d315
Wavelet Hash:00e3ef81e1e301ff
Color Hash:#8553ac

Scan History

Scan history not available

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