Security Scan Report: happy-lime-dfqm03lvxi-0bun7gv9lz.edgeone.app

Submitted: Feb 21, 2026, 8:03:37 AMCompleted: Feb 21, 2026, 8:04:45 AMpubliccompleted
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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 happy-lime-dfqm03lvxi-0bun7gv9lz.edgeone.app and was registered NaN years ago.

Submitted URL: https://happy-lime-dfqm03lvxi-0bun7gv9lz.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

happy-lime-dfqm03lvxi-0bun7gv9lz.edgeone.app

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

social media network

(96%)

Domain Information

The domain 'happy-lime-dfqm03lvxi-0bun7gv9lz.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'happy-lime-dfqm03lvxi-0bun7gv9lz'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://happy-lime-dfqm03lvxi-0bun7gv9lz.edgeone.app/

Page Load Overview

0.40s
Total Load Time
6
HTTP Requests
2
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:441 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
technology software
86%
government public service
46%
documentation technical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8OldK:choC9JSqzzbs6o3Sj3gcrs02eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184611:YDAB0QsOJBjuLlSBMGbiAoVCwgKleAloQEhCgUEQACggLpAGoowCjBANSBNBELUMkINBBkjEGsQgAuZXGFoInF2gA2H8xAIO

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#67862d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data