Security Scan Report: pengayaan-l138y40z6j.edgeone.app

Submitted: Apr 30, 2026, 11:45:42 AMCompleted: Apr 30, 2026, 11:47:01 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is pengayaan-l138y40z6j.edgeone.app and was registered NaN years ago.

Submitted URL: https://pengayaan-l138y40z6j.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The site is a newly created subdomain on a developer platform with no malicious activity, but its unknown age and low reputation warrant moderate caution.

Risk Factors
Unknown subdomain age (potentially brand‑new)
Low domain ranking in Cisco Umbrella
Hosted on a generic developer subdomain platform
Safety Factors
No credential or payment forms present
No malicious JavaScript or external malicious links detected
Content appears to be educational material in Malay
Domain age information unavailable

Details

Page Title

Latihan Pengayaan Penjodoh Bilangan

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

documentation technical

(34%)

Domain Information

The domain name 'pengayaan-l138y40z6j.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pengayaan-l138y40z6j'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. It segments into 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://pengayaan-l138y40z6j.edgeone.app/

Page Load Overview

0.62s
Total Load Time
3
HTTP Requests
2
Domains
190 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:1,051 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

documentation technical34% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
34%
education learning
34%
adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1104.17.24.14United States
AS13335Cloudflare, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BE18352AAA71456A813D5B0ABF79B473158C213C309CCB13F8C26E8DFC0BE40BA274C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:kSEwmFQNk0Kx8Sq38Ic5PcWyJZ9IXD7sOk+9tdBqxC06:kSEpFQNNKGSqMD5PcWyJM8OkINqc06

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6885:CEAQcQFeEIVAdyQgjFQAYAeQACgSgrEkEAywF1GaEAIEAISWUrQSiKCaAA2gxKAAQIACSOSbUhGAIMICvCgKkMkJQBCpAcCO

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:003c3c3c3c3c3c3c
Perceptual Hash:8b75647534747435
Difference Hash:7169696969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#87c596

Scan History

Scan history not available

Unable to load historical scan data