Security Scan Report: laporanpenyertaankokurikulum-02q0lp8ogd.edgeone.app

Submitted: Feb 7, 2026, 2:33:22 PMCompleted: Feb 7, 2026, 2:34:45 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is laporanpenyertaankokurikulum-02q0lp8ogd.edgeone.app and was registered NaN years ago.

Submitted URL: https://laporanpenyertaankokurikulum-02q0lp8ogd.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
Low risk category from domain age analysis
No malicious Indicators of Compromise
No forms collecting sensitive data
Standard hosting environment
Domain age information unavailable

Details

Page Title

laporanpenyertaankokurikulum-02q0lp8ogd.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(29% confidence)

Category

education learning

(88%)

Domain Information

Within the application-focused generic top-level domain (.app), 'laporanpenyertaankokurikulum-02q0lp8ogd.edgeone.app' is registered, featuring subdomain 'laporanpenyertaankokurikulum-02q0lp8ogd'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://laporanpenyertaankokurikulum-02q0lp8ogd.edgeone.app/

Page Load Overview

7.58s
Total Load Time
4
HTTP Requests
3
Domains
209 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:528 chars
Detector Agreement:33%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

education learning88% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
88%
government public service
52%
adult content
43%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8OldA:7hoC9JSqzzbs6o3Sj3gcrs82eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:CPKCYAUYeUFERui4TgghQHBgeyVUXkioKAqmAvMAEwQZQFAEEFiiETtYRDIjAFBIEDMgjY0EwAD0AYQKMMqACJjwMJMSwlDi

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f0307f0f0f0f0
Color Hash:#3a786c

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data