Security Scan Report: wonderful-aqua-6uubwpltvj-odmvzp576q.edgeone.app

Submitted: Nov 16, 2025, 1:37:14 PMCompleted: Nov 16, 2025, 1:38:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is wonderful-aqua-6uubwpltvj-odmvzp576q.edgeone.app.

Submitted URL: https://wonderful-aqua-6uubwpltvj-odmvzp576q.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: 85%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Domain not listed in Cisco Umbrella top 1M but no other suspicious indicators
Domain age information unavailable

Details

Page Title

Peta Persebaran Sekolah - Kabupaten Lampung Tengah

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(94%)

Domain Information

The domain name 'wonderful-aqua-6uubwpltvj-odmvzp576q.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'wonderful-aqua-6uubwpltvj-odmvzp576q'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 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://wonderful-aqua-6uubwpltvj-odmvzp576q.edgeone.app/

Page Load Overview

29.75s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:424 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning94% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
94%
government public service
65%
documentation technical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58UnknownUnknown
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1298363231320193CB91702F8DBB9B7F6205795C34A2069A5BEEC0532CB86E9DDD7B5E1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ZF3mFmFuFJFPwJKhe/oa2UZrVazm0JK7v8LXyWHwVtCkw095:Z4443IgKIdrHIw0H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87936:AUAAScQNBHkpwAMAHQ4WKVoT1cHgCYWkQUipCREGQiFwoJagZ3HkpQweJFAQA+FsmkgeiEWjhCAIAKIICg1iMITNgCpELFC0

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:f9f9f9f9f9792901
Perceptual Hash:cbfd17c11ce104e3
Difference Hash:cb490b1bebcbcbeb
Wavelet Hash:69e9f9d979792100
Color Hash:#d27992

Other Hashes

Crop Resistant:cb490b1bebcbcbeb

Scan History

Scan history not available

Unable to load historical scan data