Security Scan Report: www.jatimnetwork.com

Submitted: Nov 9, 2025, 5:40:09 PMCompleted: Nov 9, 2025, 5:41:13 PMpubliccompleted

Summary

This website contacted 230 IPs in 0 countries across 67 domains to perform 243 HTTP transactions. The main domain is jatimnetwork.com and was registered 5 years ago.

Submitted URL: https://www.jatimnetwork.com/trending/4316226619/starting-line-up-strasbourg-vs-losc-lille-calvin-verdonk-tidak-main-dari-menit-awal-kenapa-tidak-masuk-daftar-starter-hari-ini-9-november-2025

AI Security Verdict

High Risk

Confidence: 60%

9
Risk Score

Heuristic analysis (AI unavailable): Brand impersonation: Bt branding on non-official domain

Risk Factors
Brand impersonation: Bt branding on non-official domain
Domain age information unavailable

Details

Page Title

Starting Line Up Strasbourg vs LOSC Lille: Calvin Verdonk Tidak Main dari Menit Awal, Kenapa Tidak Masuk Daftar Starter Hari Ini 9 November 2025? - Jatim Network

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(98%)

Domain Information

The domain 'www.jatimnetwork.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'jatimnetwork' spans 12 characters split between 4 vowels and eight consonants. Word splitting yields 3 words: jati, m, network. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.jatimnetwork.com/trending/4316226619/starting-line-up-strasbourg-vs-losc-lille-calvin-verdonk-tidak-main-dari-menit-awal-kenapa-tidak-masuk-daftar-starter-hari-ini-9-november-2025

Page Load Overview

1.85s
Total Load Time
243
HTTP Requests
67
Domains
4.0 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:67,017 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
entertainment media
76%
news media journalism
34%
government public service
33%
adult content
30%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.17.201.65UnknownUnknown
1185.89.210.122UnknownUnknown
134.1.242.226UnknownUnknown
189.149.193.113UnknownUnknown
135.214.136.108UnknownUnknown
1136.243.84.74UnknownUnknown
165.8.131.21UnknownUnknown
1216.239.34.36UnknownUnknown
118.66.112.125UnknownUnknown
135.214.170.170UnknownUnknown
243230--

Page Statistics

243
Requests
69
Unique Domains
4.7 MB
Total Size

Content Similarity HashesFor malware variant detection

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