Security Scan Report: www.belleislefl.gov

Site favicon
Submitted: Dec 10, 2025, 12:10:20 AMCompleted: Dec 10, 2025, 12:11:09 AMpubliccompleted
Loading additional data...

Summary

This website contacted 44 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 website
No suspicious forms or data collection
No known malicious Indicators of Compromise
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

Domain 'www.belleislefl.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'belleislefl' spans 11 characters containing four vowels alongside seven consonants. Word splitting yields 3 words: belle, isle, fl. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

15.22s
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:3,240 chars
Detector Agreement:75%

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
24142.250.184.227United States
AS15169GOOGLE
113.33.187.114New York, New York, United States
AS16509AMAZON-02
134.98.91.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
113.33.187.6New York, New York, United States
AS16509AMAZON-02
134.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1216.58.206.40United States
AS15169GOOGLE
1142.250.185.142United States
AS15169GOOGLE
1141.193.213.10United States
AS209242Cloudflare London, LLC
1216.58.206.74United States
AS15169GOOGLE
6744--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12373B60698F20033025741D97957773E7FBA8127DA074EA0B6ECE758AFCAE92581369C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:s7dRUt5VIYSP68QFFPUF8rhJyNSyUlm+ylyf78rdXAw5n6MR9Tb:s7dRUt5VIYW8rh8Tb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80164:E4qNIBAAgCAGDMAAnCCoqouQEZI7AiIJZlKAEkiDBDEaEIARB4oZ6CDQxcyaBvok0wVOyJCCgBZEk+EAAABBSDCAAjkBENRS

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:03ff09ebe3e91901
Perceptual Hash:e9941ae726197927
Difference Hash:efe3930bcf0b73cb
Wavelet Hash:01ff09fbe3e91901
Color Hash:#1f934e

Scan History

Scan history not available

Unable to load historical scan data