Security Scan Report: jurnalpantura.id

Submitted: Jan 23, 2026, 2:53:39 AMCompleted: Jan 23, 2026, 2:54:57 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 209 HTTP transactions. The main domain is jurnalpantura.id and was registered NaN years ago.

Submitted URL: https://jurnalpantura.id

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment forms
No brand impersonation
No malware detected
Domain age information unavailable

Details

Page Title

Jurnal Pantura - Clear - Fair - Dare

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

healthcare medical

(77%)

Domain Information

The domain 'jurnalpantura.id' uses the Indonesian country-code top-level domain (.id) without a subdomain. The second-level label 'jurnalpantura' is 13 characters long containing 5 vowels alongside eight consonants. Tokenizing the label suggests four words: jur, nal, pan, tura. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jurnalpantura.id

Page Load Overview

9.70s
Total Load Time
207
HTTP Requests
5
Domains
3.7 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:15,280 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
77%
education learning
67%
news media journalism
55%
government public service
51%
documentation technical
37%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43104.17.24.14Indonesia
41192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
4136.50.77.104Indonesia
AS138115PT Deneva
41172.217.18.3United States
AS15169GOOGLE
41142.251.140.170United States
AS15169GOOGLE
2075--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FE3A3B5049F592F932F09CD40253F6EFD5A1117CF828DE9F7BE0288A796DD0E66240A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VOwyppIfuMjz5xz14cuKob0fZGhKZZzJQJ717Iwv1qF49hKZZzJQCmUISg:VOxXIfuINBpZrQTUI4lZrQCmUIl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:153747:AhtRoQCAEBoJnFJpAgTEBgNZJACAAQECLQDosQC4sYqASqtTmk8qQCAoEBFjsqUAABGHjJ4LJQA2opghRKE0EigF0wyYyF8E

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:80c3dff3d3cfc383
Perceptual Hash:bcc738d166a998ac
Difference Hash:32133227a73b3b2f
Wavelet Hash:8083dbf3d3cb8383
Color Hash:#932d1f

Scan History

Scan history not available

Unable to load historical scan data