Security Scan Report: pacarekotep22-dq9d6rx5qv.edgeone.app

Submitted: Nov 19, 2025, 11:28:42 AMCompleted: Nov 19, 2025, 11:31:53 AMpubliccompleted
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Summary

This website contacted 12 IPs in 0 countries across 4 domains to perform 7 HTTP transactions. The main domain is pacarekotep22-dq9d6rx5qv.edgeone.app.

Submitted URL: https://pacarekotep22-dq9d6rx5qv.edgeone.app/medua%20pembelajaran.html

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

AI Security Verdict

Safe Website

Confidence: 70%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
No suspicious activity detected
Page contains only static text "0 MULAI"
Domain age information unavailable

Details

Page Title

Trigonometri Berbasis Budaya Lokal Tuban

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(99%)

Domain Information

Within the application-focused generic top-level domain (.app), 'pacarekotep22-dq9d6rx5qv.edgeone.app' is registered; it also runs on subdomain 'pacarekotep22-dq9d6rx5qv'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Word splitting yields two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pacarekotep22-dq9d6rx5qv.edgeone.app/medua%20pembelajaran.html

Page Load Overview

30.13s
Total Load Time
7
HTTP Requests
4
Domains
7 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:2,667 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning99% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
99%
documentation technical
70%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.152.26.58UnknownUnknown
0216.58.212.131UnknownUnknown
0142.250.186.163UnknownUnknown
0142.250.181.234UnknownUnknown
0162.159.153.247UnknownUnknown
0142.250.184.227UnknownUnknown
0142.250.186.170UnknownUnknown
02a00:1450:4001:813::200aUnknownUnknown
0162.159.152.17UnknownUnknown
02606:4700:7::a29f:9811UnknownUnknown
712--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15913526919F304225553A1A53BEB5B1A3AA0D417CD4FCE197BDC67C88FC2DA0DE83B48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gYlDa/eoLLSaAbQTVgjZ6aD5LSDFpDk/bczrY8sfmc:gYlDa/eoLLFAbQT6jZ6+5LWFZkQ3cfV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43510:IRkUAkBMhKABSEwmMCFuJFAF8IAQqAsZh0SQSwGwxAiUBIgYaLRFOFSWg3gooQpEtcYqhhD/hEI6KAiAiQhgA1C5QVBGxEjA

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:03e7e7e7e7e7e662
Perceptual Hash:e6ab14ad25fd4981
Difference Hash:4e4c0f0e8e8e8ccc
Wavelet Hash:0306e7e7e7e7c240
Color Hash:#6ce0a8

Scan History

Scan history not available

Unable to load historical scan data