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Security Scan Report: royalpalmbeachfl.gov

Redirected to: https://www.royalpalmbeachfl.gov/

Submitted: Nov 23, 2025, 10:12:41 PMCompleted: Nov 23, 2025, 10:14:08 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 8 domains to perform 47 HTTP transactions. The main domain is royalpalmbeachfl.gov and was registered NaN years ago.

Submitted URL: https://royalpalmbeachfl.gov/

Effective URL: https://www.royalpalmbeachfl.gov/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Official government TLD (.gov)
Established domain age
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Home Page | Village of Royal Palm Beach Florida

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(91%)

Domain Information

Domain 'royalpalmbeachfl.gov' uses the United States government-restricted top-level domain (.gov). Count 16 characters in 'royalpalmbeachfl' holding 5 vowels versus 11 consonants. It segments into 4 words: royal, palm, beach, fl. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.23s
Total Load Time
47
HTTP Requests
8
Domains
1.7 MB
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:4,832 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
91%
documentation technical
82%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
4142.250.185.131United States
AS15169GOOGLE
3172.66.171.172United States
AS13335CLOUDFLARENET
2142.251.140.168United States
AS15169GOOGLE
2104.20.20.192United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
22a00:1450:4001:831::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:813::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22001:4860:4802:34::36United States
AS15169GOOGLE
22606:4700:10::6814:14c0United States
AS13335CLOUDFLARENET
4717--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D33C65358E55413022266C77865773FD65340BADA030B40BBDCCB867FCAE4698AE2FE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:h3w/UapWCK6tP68rDvcGS/MO/RlkRkuyRLyVoBK:Bw/UapK6jEGS/MO/RlkR4RWVoE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51630:jhREAAhNKAa0SVCkBFEEwQSCJ1F6CKhkCKR3EiHkALkwJpEGKAAKgVGrJIggCJ6AkBJGIVYQZg0ZrAAQnlAs8JCARAgjIIoA

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:003fff3e3c360000
Perceptual Hash:94bb79765a49a528
Difference Hash:1cbcfef0e8ccd0b0
Wavelet Hash:00ffff7e7c3e0000
Color Hash:#c6d279

Other Hashes

Crop Resistant:fcfcfcf6e6e8f0d0,9e9bd3d3e6c691ab,4144d0cafe72726b,1cbcfef0e8ccd0b0

Scan History

Scan history not available

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