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Security Scan Report: journaltofik-j4i81zog6z.edgeone.app

Submitted: May 7, 2026, 4:55:50 AMCompleted: May 7, 2026, 4:57:11 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 13 HTTP transactions. The main domain is journaltofik-j4i81zog6z.edgeone.app and was registered NaN years ago.

Submitted URL: https://journaltofik-j4i81zog6z.edgeone.app/journal-hidup.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows no phishing, malware, or credential collection; risk is low despite unknown subdomain age.

Risk Factors
Low Cisco Umbrella ranking (outside top 100K)
Subdomain age unknown (could be newly created)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

JURNAL HIDUP — Sistem Transformasi Pribadi

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(87%)

Domain Information

The domain 'journaltofik-j4i81zog6z.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'journaltofik-j4i81zog6z'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://journaltofik-j4i81zog6z.edgeone.app/journal-hidup.html

Page Load Overview

1.23s
Total Load Time
11
HTTP Requests
5
Domains
349 KB
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:2,654 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
87%
adult content
80%
social media network
58%
healthcare medical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.13.94United States
AS15169Google LLC
2104.17.207.5United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.17.24.14United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
115--

Detected Technologies3

Cloudflare
50%
jsDelivr
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12973C66275F201322463A8FA77FB4F4B36649103E906C6547EAC56D04FE6EA4DD23ACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vQPu9+ZpvqM7Tvih9Q4qkc4uQMNEUviL/IBPcaVzRkD5N3n6g+sMnI1v23gyigo:4LV7Tvihz+jHFkDz3nP+sMnIs3Yl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80317:iCuAGOowBRQJBQICdJTgPYHIMACBIMtFoFjSgAi0ykgJJWkig0ALCK9ByQIFLFgKDwCEgZoC0BBWADnQYwggEwoABGg40X2C

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:00183830003c3800
Perceptual Hash:cecc313131c6cece
Difference Hash:1473656111696961
Wavelet Hash:c719393d193d3d30
Color Hash:#ac5363

Other Hashes

Crop Resistant:000808280c4d3008,1473656111696961

Scan History

Scan history not available

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