Summary
This website contacted 111 IPs in 5 countries across 33 domains to perform 215 HTTP transactions. The main domain is mega.cl.
Submitted URL: https://www.mega.cl/festival-de-vina/artistas/206732-matteo-bocelli-confirmado-festival-de-vina-2026.html
The Cisco Umbrella rank of the primary domain is #719,324 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
High risk site due to malicious external resource and low reputation.
Risk Factors
Details
Page Title
¡Debutará en solitario! Matteo Bocelli se suma a la parrilla del Festival de Viña 2026 - Mega
Scan Type
public
Language
Spanish
Category
entertainment media
(77%)Domain Information
Domain 'www.mega.cl' uses the Chilean country-code top-level domain (.cl) with subdomain 'www'. The core label 'mega' covers 4 characters containing 2 vowels alongside 2 consonants. Word splitting yields one word: mega. 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 |
|---|---|---|---|
| 105 | 216.239.38.178 | United States | AS15169GOOGLE |
| 62 | 138.255.98.135 | Miami, Florida, United States | AS263807MEDIASTREAM SPA |
| 27 | 57.129.86.9 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 27 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 8 | 216.239.32.36 | United States | AS15169GOOGLE |
| 7 | 142.250.185.99 | United States | AS15169GOOGLE |
| 6 | 200.54.121.3 | Chile | AS16629CTC. CORP S.A. TELEFONICA EMPRESAS |
| 6 | 172.217.23.110 | United States | AS15169GOOGLE |
| 5 | 164.77.67.149 | Santiago, Santiago Metropolitan, Chile | AS27651ENTEL CHILE S.A. |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 215 | 111 | - | - |
Detected Technologies2
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
Other Hashes
Scan History
Scan history not available
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