Security Scan Report: learn-coding-3i8k4odc9y.edgeone.app

Submitted: Mar 30, 2026, 2:34:53 PMCompleted: Mar 30, 2026, 2:36:10 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 learn-coding-3i8k4odc9y.edgeone.app and was registered NaN years ago.

Submitted URL: https://learn-coding-3i8k4odc9y.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: 92%

1
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
Standard hosting platform subdomain
No forms or data collection elements
No malicious Indicators of Compromise
No JavaScript malware or obfuscation indicative of malicious intent
No redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Endless Color Mixer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(32%)

Domain Information

The domain name 'learn-coding-3i8k4odc9y.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'learn-coding-3i8k4odc9y'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://learn-coding-3i8k4odc9y.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
8 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:305 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning32% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
32%

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

T16752C84631D30020569394EB3BE387493778D107C50BC96C7ABD46E0CF8AEA989E77A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KP92omWdJz06ifJ+nM3Ywjk8tjAEc5OY+96iZco45/xQDcyJzEOUP7mq2ib/DBer:3ZztNvjvUPquDAaSEOeeJCZWmWjB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14340:bsUdQChAHQVmpKhFBByABvJQADMDiVUwIRAIiABCNjK4gmhACqkE7zKIENUhADYVQIgkxHhPxViIKIDAAAoGjGnRC4kYFAnG

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:1818001818001818
Perceptual Hash:cccccc8e99333339
Difference Hash:30320c30320c3030
Wavelet Hash:1c1c0000dcdcfcfc
Color Hash:#4f2d86

Other Hashes

Crop Resistant:30320c30320c3030

Scan History

Scan history not available

Unable to load historical scan data