Security Scan Report: www.sibfl.gov

Redirected to: https://www.sibfl.gov/Home

Submitted: Nov 23, 2025, 9:20:16 PMCompleted: Nov 23, 2025, 9:22:05 PMpubliccompleted
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Summary

This website contacted 106 IPs in 3 countries across 18 domains to perform 82 HTTP transactions. The main domain is sibfl.gov and was registered NaN years ago.

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

Effective URL: https://www.sibfl.gov/HomeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government website with no apparent security concerns.

Safety Factors
Government .gov domain
Established domain age
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Home - Sunny Isles Beach, FL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'www.sibfl.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'sibfl' is 5 characters long containing 1 vowel alongside four consonants. Segmentation suggests 2 words: sib, fl. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.38s
Total Load Time
82
HTTP Requests
18
Domains
2.9 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-US
Text Length:8,588 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
adult content
29%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4323.55.163.133Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10172.217.18.14United States
AS15169GOOGLE
495.100.146.74Prague, Prague, Czech Republic
AS20940Akamai International B.V.
3142.250.185.170United States
AS15169GOOGLE
32.17.147.26Prague, Prague, Czech Republic
AS20940Akamai International B.V.
2216.239.34.36United States
AS15169GOOGLE
2142.250.181.227United States
AS15169GOOGLE
2142.250.185.174United States
AS15169GOOGLE
2108.138.7.107United States
AS16509AMAZON-02
123.35.232.134Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
82106--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137F35D738582207E0123A2DB36B4FB1CA0A3958BE62B5C42F6ED03196FD5E465D076CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:j041UImcH6TNxajarMk511ss0RBN0vEg6rBv32YW8JwW8JxPCz:j0qUU6pMjarn11C0vEg6rBv32YW8JwWF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172026:gAAgAKMQTip/WSQHpFAKmAg2AnKhMGBUDUUgcCIkYtHlAKkBJJA3BGICiIhEEAADE1wmBPygEFMREAhCoR50trJJSkCglDAR

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data