Security Scan Report: oprkokurikulum-63y73p0xg9.edgeone.app

Submitted: Feb 4, 2026, 6:46:09 PMCompleted: Feb 4, 2026, 6:47:32 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 3 HTTP transactions. The main domain is oprkokurikulum-63y73p0xg9.edgeone.app and was registered NaN years ago.

Submitted URL: https://oprkokurikulum-63y73p0xg9.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

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (>2 years old)
Low ranking does not indicate brand impersonation
No credential or payment collection forms
No malicious Indicators of Compromise
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

SISTEM OPR KOKU SMK PUJUT

Scan Type

public

Language

🇮🇩

ID

(40% confidence)

Category

education learning

(73%)

Domain Information

Within the application-focused generic top-level domain (.app), 'oprkokurikulum-63y73p0xg9.edgeone.app' is registered with subdomain 'oprkokurikulum-63y73p0xg9'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oprkokurikulum-63y73p0xg9.edgeone.app/

Page Load Overview

3.46s
Total Load Time
4
HTTP Requests
3
Domains
208 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:40%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:40%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:261 chars
Detector Agreement:67%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

education learning73% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
73%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.25.14Singapore
143.152.26.58Singapore
145.43.142.101United States
43--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15712B63234F010129567A448BD72EF8F7CA0D20797078861BE6D0594EF9EEE2D5B72AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9sO/y/s2Xm6cakg+jmwV+VFJNnE12F6SuntHpPnUZBvGFEPchsTUTLvsI845X4mn:9/JVy6SuntHp/UZBvGuPsMm0A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9610:kEQINYEKFN+CmB2SUuAESciJIyCqC1FIVmC6HbCMVQJAaEXDQpxwAxwhoCCChCSUGgglhkqDwAEJMGaCVDleRTE6IOXACYKQ

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:ffc3c3ffc3ffffff
Perceptual Hash:f5759ac38a9a9864
Difference Hash:488e966096606061
Wavelet Hash:ee8080bc80bcbcbd
Color Hash:#e0d06c

Scan History

Scan history not available

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