Security Scan Report: matematika-wak-t8eytmnplo.edgeone.app

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Submitted: May 11, 2026, 9:55:35 PMCompleted: May 11, 2026, 9:56:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is matematika-wak-t8eytmnplo.edgeone.app and was registered NaN years ago.

Submitted URL: https://matematika-wak-t8eytmnplo.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site with no malicious indicators; likely legitimate educational content but monitor due to unknown subdomain age.

Risk Factors
Unknown subdomain age (could be newly created)
Low Cisco Umbrella ranking
Hosted on a generic developer subdomain platform
Safety Factors
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Content appears to be a simple educational math challenge
Domain age information unavailable

Details

Page Title

Math Challenge Premium

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(80% confidence)

Category

education learning

(52%)

Domain Information

The domain 'matematika-wak-t8eytmnplo.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'matematika-wak-t8eytmnplo'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 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://matematika-wak-t8eytmnplo.edgeone.app/

Page Load Overview

0.65s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
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:311 chars
Detector Agreement:33%

Website Classification

Primary Category

education learning52% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
52%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D3294A253B50130189B85A53BC38B5D3678D103A94FC7683BFC21989FD2AC3E5A7B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jtELoEJMNnSL44VLi5siJnC1zT/hiuYEOznkrajQO6ND7JZswXIx3CQxCx3:jOLXIdQLiuhnY/krajd61JZs1xBxCx3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11574:AyDQoQsJMEMjSAAKhGAgRJIDAmAZSAVXSJKUwACqg6ioh9AA0hqcyUGFRgkBqFZABwdOIIpJAURFokEPFmKiQpJwBAzJgIgm

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:f8f0f8f8d8d88080
Perceptual Hash:ddf773dd88228888
Difference Hash:0000303032300d01
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#c587a7

Scan History

Scan history not available

Unable to load historical scan data