Summary
This website contacted 51 IPs in 4 countries across 19 domains to perform 104 HTTP transactions. The main domain is pemudanegerilama-rsjzgcv2t1.edgeone.app.
Submitted URL: https://pemudanegerilama-rsjzgcv2t1.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%
Site shows no malicious activity but has low reputation and appears new; proceed cautiously.
Risk Factors
Safety Factors
Details
Page Title
TURNAMEN MINI SOCCER PEMUDA NEGERI LAMA CUP 1
Scan Type
public
Language
ID
Category
news media journalism
(52%)Domain Information
Domain 'pemudanegerilama-rsjzgcv2t1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'pemudanegerilama-rsjzgcv2t1'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 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

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 37 | 142.250.186.129 | United States | AS15169GOOGLE |
| 15 | 192.178.170.121 | United States | AS15169GOOGLE |
| 8 | 43.152.26.58 | Singapore | AS139341ACE |
| 6 | 172.217.23.97 | United States | AS15169GOOGLE |
| 5 | 142.250.186.130 | United States | AS15169GOOGLE |
| 5 | 142.250.185.201 | United States | AS15169GOOGLE |
| 4 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 142.250.184.193 | United States | AS15169GOOGLE |
| 2 | 104.18.39.141 | United States | AS13335CLOUDFLARENET |
| 104 | 51 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
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