Security Scan Report: www.sibfl.gov

Redirected to: https://www.sibfl.gov/Public-Safety/Police

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Submitted: Dec 23, 2025, 9:42:44 PMCompleted: Dec 23, 2025, 9:43:57 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sibfl.gov and was registered NaN years ago.

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

Effective URL: https://www.sibfl.gov/Public-Safety/PoliceRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no security concerns.

Safety Factors
Official government domain (.gov)
Domain age > 180 days
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Police - Sunny Isles Beach, FL

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.sibfl.gov' is registered; it also runs on subdomain 'www'. The core label 'sibfl' covers 5 characters holding one vowel versus 4 consonants. Breaking it apart gives two 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/sibpd/

Page Load Overview

8.38s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:129 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
technology software
39%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.53.43.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.53.43.27Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118B31B738585217F011792DB3AB4FF68A093954FE62B2982F5AD032DAF96E150D036CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ml+EefPt0xCN8u0RBBAuyIYbHBzsLZCSdSOWQjtPPz:mCyIebAHIYbHBzs1CSdSHQjtnz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116146:yACkZggJHMCUAFRBMkUkEgWFoQYBSYCwDKowGEJLT1MIGmQDQEiAsAsxfAIRCCRAaMk32hZLAQRRWI0QMrDoKQGoIiSiCAQA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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