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Security Scan Report: learn2codemathixlfun-notacttuallylearntho-lol-mpdqzqsrj0.edgeone.app

Submitted: May 2, 2026, 10:08:53 PMCompleted: May 2, 2026, 10:10:10 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is learn2codemathixlfun-notacttuallylearntho-lol-mpdqzqsrj0.edgeone.app and was registered NaN years ago.

Submitted URL: https://learn2codemathixlfun-notacttuallylearntho-lol-mpdqzqsrj0.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: 80%

2
Risk Score

The site shows no malicious activity, lacks credential or payment forms, and only has low‑risk signals; it is classified as low risk.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) for the domain
DevTools blocking (anti‑analysis technique)
Safety Factors
Absence of login, payment, or credential‑collection forms
No external malicious links or IoC matches
No JavaScript malware signatures
No network IDS alerts
Domain age information unavailable

Details

Page Title

Offline HTML5 Editor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(66%)

Domain Information

Domain 'learn2codemathixlfun-notacttuallylearntho-lol-mpdqzqsrj0.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'learn2codemathixlfun-notacttuallylearntho-lol-mpdqzqsrj0'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://learn2codemathixlfun-notacttuallylearntho-lol-mpdqzqsrj0.edgeone.app/

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
17 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:551 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network66% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
66%
documentation technical
47%
technology software
46%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D643953AB0B310B14A63A07A27CB71907A369107B901DA44F9DD97481FE2B64C9E7BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:25hSyFGplW7FR2FZb/Nq/Bxa4CF3vSWQ7pc08G5MvVqDXd+xsv:MSyFGsgIBw403vSWQ7G08G5MtqDXdf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55279:EIbgIAyAIElZQ70IBEBTI8gJEUkARqWyAdwAUpmIJAEjRwaOSAEAGORQCEUjgCiubg3ES0pigSAMiUcYBEUSpoJIEQnAjwCw

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:0074ffffffffffff
Perceptual Hash:d656565779292929
Difference Hash:54c4000c0808004b
Wavelet Hash:0000e7e7f7f7e700
Color Hash:#d2ca2d

Other Hashes

Crop Resistant:4484080808080009,0082699996916902

Scan History

Scan history not available

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