Security Scan Report: www.belleislefl.gov

Submitted: Oct 19, 2025, 1:07:22 AMCompleted: Oct 19, 2025, 1:08:55 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 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 municipal website with no security concerns.

Safety Factors
Established domain age
Government .gov domain
Absence of suspicious forms or external links
No Indicators of Compromise detected
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), featuring subdomain 'www'. The registrable portion 'belleislefl' spans 11 characters split between 4 vowels and seven consonants. Segmentation suggests three words: belle, isle, fl. The median word length lands at 4 characters. 'belle' most strongly signals English. Secondary signals appear in Malay and Vietnamese.

Screenshot

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

Page Load Overview

13.61s
Total Load Time
2
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:3,300 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service90% confidence
Type: dynamic
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
2162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
21--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14633D81284F14033022782C67965B73AFFD6825BEA034640F7ECCA5A5FDAD4A9C635DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+7dRUt5VIYPP68QFFPvBPx1uPyuYyUk9XywyhPBOEw4fnBn6sg:+7dRUt5VIYux1ut1yg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52608:4KUoFgAIYpgRAQYcEJIQqSQQDADCACJGOhdBhdLYAhwBJAMIGMlAAZMRiACILGBBAKSOGeV8ScAKQCwQEMwwoQIMmCSEIVhC

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#931f55

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data