Security Scan Report: bejoradiofm.site

Submitted: Mar 21, 2026, 12:01:28 AMCompleted: Mar 21, 2026, 12:02:45 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 62 HTTP transactions. The main domain is bejoradiofm.site and was registered NaN years ago.

Submitted URL: https://bejoradiofm.site/index.php/berita-bcradio/bea-cukai-jogja-dukung-bpom-yogyakarta-kampanyekan-aayo-buang-sampah-obat-dengan-benara-di-bejoradio-fm

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Low risk; likely a legitimate local radio news page, but the domain is brand new.

Risk Factors
Brand‑new domain (<7 days) – high likelihood of phishing or scam use
Safety Factors
No malicious Indicators of Compromise detected
No credential or payment collection fields
Cross‑origin request appears related to legitimate streaming functionality
No brand impersonation or trademark misuse
Domain age information unavailable

Details

Page Title

Bea Cukai Jogja Dukung BPOM Yogyakarta Kampanyekan "Ayo Buang Sampah Obat Dengan Benar" di Bejoradio.fm

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

healthcare medical

(72%)

Domain Information

The domain 'bejoradiofm.site' uses the .site top-level domain with no subdomain. The core label 'bejoradiofm' covers 11 characters with 5 vowels and 6 consonants. Tokenizing the label suggests four words: be, jo, radio, fm. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bejoradiofm.site/index.php/berita-bcradio/bea-cukai-jogja-dukung-bpom-yogyakarta-kampanyekan-aayo-buang-sampah-obat-dengan-benara-di-bejoradio-fm

Page Load Overview

4.42s
Total Load Time
50
HTTP Requests
4
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:en-gb
Text Length:2,802 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

healthcare medical72% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
72%
government public service
63%
news media journalism
46%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.201.74United States
AS15169Google LLC
12172.217.16.195United States
AS15169Google LLC
12145.223.108.144Jakarta, Jakarta, Indonesia
AS47583Hostinger International Limited
1245.64.97.78Changi Village, Singapore
AS135360Argon Data Network
504--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3E2082244A82D3B013302D571A13B4D36D7CA7AFA568D5172FF876C2FEADC66D2B049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5Q0Eid8ZZadfzIIqBni3MHrBkKK4IV9T/zx:5hEiis7IIqnHrBkKK4uT/zx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33156:0lCLAoyoUhAlgEhMMsBIBRAEQOOBOIVqEWFmfoHBgAAhgQ6BgHEQMDIeTgQifAoavFYaAjAgMSChHhWYY6YiCiWRqkABiwgA

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:00007e7e6e360606
Perceptual Hash:96cb2c7b3994c683
Difference Hash:3f8bf4fcdcf484a4
Wavelet Hash:00007e7e7e7e4747
Color Hash:#59ac53

Scan History

Scan history not available

Unable to load historical scan data