Security Scan Report: www.belleislefl.gov

Submitted: Oct 11, 2025, 6:24:59 AMCompleted: Oct 11, 2025, 6:26:16 AMpubliccompleted
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Summary

This website contacted 53 IPs in 2 countries across 13 domains to perform 67 HTTP transactions. The main domain is belleislefl.gov and was registered NaN years ago.

Submitted URL: https://www.belleislefl.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Established government .gov domain
No suspicious external links
Standard search form only
Domain age information unavailable

Details

Page Title

Belle Isle Home Page | Belle Isle, FL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(90%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.belleislefl.gov' is registered; it also runs on subdomain 'www'. Its registrable label 'belleislefl' stretches across 11 characters containing 4 vowels alongside seven consonants. Tokenizing the label suggests 3 words: belle, isle, fl. Expect 4 characters per word on average. Most frequently, 'belle' shows up in English. Usage also turns up in Malay and Vietnamese contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of https://www.belleislefl.gov/

Page Load Overview

27.07s
Total Load Time
67
HTTP Requests
13
Domains
1.6 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:3,555 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service90% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
90%
government
48%
forum community discussion
37%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1534.98.91.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
135.190.93.146United States
AS396982GOOGLE-CLOUD-PLATFORM
118.245.31.73United States
AS16509AMAZON-02
1142.250.185.142United States
AS15169GOOGLE
1162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
135.190.52.95United States
AS396982GOOGLE-CLOUD-PLATFORM
1142.250.185.131United States
AS15169GOOGLE
1163.171.157.20Frankfurt am Main, Hesse, Germany
AS54994ML-1432-54994
113.33.187.6New York, New York, United States
AS16509AMAZON-02
113.33.187.114New York, New York, United States
AS16509AMAZON-02
6753--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E73A50598F21033026742D97957773E7FBA8127DB034DA0B6ECE758AFCAE92581369C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:s7dRUt5VIYpP68QFFPUE8rhFyftyUl/LY+y6yu1+SGJGPBn6M7oTb:s7dRUt5VIYE8rhuLQTb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80456:MBQAGIDO0oTKRVCoEABjjEMYNikKUC8DZgSegCgOIAaODQALF8KkKZkACDOCHjQpMyPsK1vyAmAoACQGl+VJ1ZugECEARhqD

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:03ff09ebe3e91101
Perceptual Hash:e9941ae726197927
Difference Hash:efe3930bce0373c3
Wavelet Hash:01ff09fbe3eb1101
Color Hash:#cdd22d

Scan History

Scan history not available

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