Security Scan Report: pbgfl.gov

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Submitted: Dec 10, 2025, 6:21:35 AMCompleted: Dec 10, 2025, 6:22:51 AMpubliccompleted
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Summary

This website contacted 54 IPs in 3 countries across 24 domains to perform 233 HTTP transactions. The main domain is pbgfl.gov and was registered NaN years ago.

Submitted URL: https://pbgfl.gov/

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate government website; minor redirect oddity but no security threats detected.

Risk Factors
Circular redirect detected (potentially suspicious redirect behavior)
Safety Factors
Domain is a .gov TLD
Domain age > 2 years (well established)
No malicious Indicators of Compromise
No forms collecting passwords, emails, or payment information
Domain age information unavailable

Details

Page Title

Palm Beach Gardens, FL - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(78%)

Domain Information

The domain 'pbgfl.gov' uses the United States government-restricted top-level domain (.gov). The registrable portion 'pbgfl' spans 5 characters split between 0 vowels and 5 consonants. Segmentation suggests three words: p, bg, fl. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

32.24s
Total Load Time
233
HTTP Requests
24
Domains
15.5 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:3,962 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
78%
government
48%
documentation technical
44%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21104.18.29.155United States
AS13335CLOUDFLARENET
4157.240.202.35Saint-Denis, Île-de-France, France
AS32934FACEBOOK
4157.240.202.63Saint-Denis, Île-de-France, France
AS32934FACEBOOK
4157.240.202.1Saint-Denis, Île-de-France, France
AS32934FACEBOOK
454.186.57.55Boardman, Oregon, United States
AS16509AMAZON-02
4172.217.18.10United States
AS15169GOOGLE
418.204.49.47Ashburn, Virginia, United States
AS14618AMAZON-AES
4216.239.34.36United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
413.35.58.85United States
AS16509AMAZON-02
23354--

Detected Technologies2

JQueryv2.2.4
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E145CE0E6882037403332D5F06A6749657A817BE70B5C66FDBE53706BE0CE152791BE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jhrPcA4ChD1ikAD1bqFmR8jjxbUvkyZ2zOSyMRiPIaKmETLDOEpY4OVsOAeJ3ewj:jK+EAFvyZ27LDhOGG5BrIt6gKVb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:207837:qkGYoAIogApwEAKI0AhDZmkBFA4AhWcRgTZIAgGNAoAwSgUTIOhgSoAgGMIPomAi6EKCAGgCHESjMFAVGJQS6gANEQMRhMzQ

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:ff20780e00f9ff98
Perceptual Hash:cfc4edb930b8c0c5
Difference Hash:1a61e1b80e232b30
Wavelet Hash:ff20780400ffff18
Color Hash:#ac5397

Scan History

Scan history not available

Unable to load historical scan data