Security Scan Report: limuchen01-dpolecbebdf3.edgeone.app

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Submitted: Jun 9, 2026, 3:44:40 AMCompleted: Jun 9, 2026, 3:46:03 AMpubliccompleted
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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 limuchen01-dpolecbebdf3.edgeone.app and was registered NaN years ago.

Submitted URL: https://limuchen01-dpolecbebdf3.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: 75%

5
Risk Score

Moderate risk site; brand claim on low‑ranked, unknown‑age subdomain but no malicious activity detected.

Risk Factors
Unknown subdomain age on hosting platform
Low domain reputation with brand claim
Potential typosquatting/squatting due to brand name on low‑ranked domain
Safety Factors
No login or payment forms
No malicious JavaScript or credential exfiltration observed
No network‑level IDS alerts or IoC matches
Domain age information unavailable

Details

Page Title

Li Mods 🐦‍🔥 - Official Site

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(78%)

Domain Information

The domain name 'limuchen01-dpolecbebdf3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'limuchen01-dpolecbebdf3'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Splitting it apart reveals 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://limuchen01-dpolecbebdf3.edgeone.app/

Page Load Overview

2.12s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
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:228 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network78% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
78%
technology software
62%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.175.44.57Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0C1522B99E31446B607E1A03BF75B592638851BD80ACD3D3FDE36C0CF462C5A593B98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:GPpVZOx9qT7GJwo7+sJwGumlADzajy6maFmGUDD+kWge:GAx+iJwoBJwGum6zLaUGUv+kPe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6059:HoSCLDAIhGcQ0gBEVAABFCDMiKMAikhIy4MKAKAjEFCAJMEAAYAgoioCARAREQSAHAylkCAigDxJRBBgEQxXJqAVgIgQEiBA

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:183c3c3c183c3c18
Perceptual Hash:cc3333cccc3333cc
Difference Hash:f0f0f0f0b0f0e8f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#6ce0ac

Other Hashes

Crop Resistant:f0f0f0f0b0f0e8f0

Scan History

Scan history not available

Unable to load historical scan data