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Security Scan Report: eticket.cr

Redirected to:
https://www.eticket.cr/home.aspx
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Submitted: Sep 17, 2026, 12:21:11 AMCompleted: Sep 17, 2026, 12:21:56 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/ed0f5aee-a856-46f8-b617-7d8665344eeeDomain and IP registration (RDAP)/api/v1/rdap/ed0f5aee-a856-46f8-b617-7d8665344eeeCertificate Transparency/api/v1/ct/eticket.crHow often this domain was scanned/api/v1/domain/stats/eticket.crScan history for this domain/api/v1/domain/history/eticket.cr?limit=15

This website contacted 23 IPs in 4 countries across 19 domains to perform 76 HTTP transactions. The main domain is eticket.cr and was registered 14 years ago.

Submitted URL: https://eticket.cr

Effective URL:

https://www.eticket.cr/home.aspx
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate Costa Rican event ticketing site on a 13-year-old domain; self-branded, no forms collecting credentials or payment, and no threat intelligence hits.

Safety Factors
Established domain over 13 years old
Self-branding matches domain, no impersonation
No credential or payment fields on the page
No Indicators of Compromise or malware patterns
Content is legitimate event ticketing and newsletter signup
Domain age information unavailable

Details

Page Title

eticket - Compra de boletos para eventos en Costa Rica

Scan Type

public

Domain Name Analysis

The domain name 'eticket.cr' uses the Costa Rican country-code top-level domain (.cr) with no subdomain. Its registrable label 'eticket' stretches across 7 characters containing 3 vowels alongside four consonants. It segments into 2 words: e, ticket. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eticket.cr

Page Load Overview

5.11s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:33%
Script:Latin
Direction:ltr

Detection Details

Text Length:3,181 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media79% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
79%
adult content
39%
corporate
35%
e-commerce shopping
32%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1013.85.194.137Azure · CLOUDSan Antonio, Texas, United States
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3142.251.20.95Google · CDNUnited States
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3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3150.171.109.105Azure · CLOUDUnited States
AS8075Microsoft Corporation
3151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
7623--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18171A9172A188D0F12214A54E7A27806C193C5FEB968DCE1ECE8463F49E4BD848F7717

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Q1NFlhX1cWJh/usrCJKxINRG9TmiycDXRF:ErX1F5+1RGTmiyoXRF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3615:hIwgCAgIEIAIAgNBgF1AABAAgIApCAAAAAESAAAAnCQAoEAANAUAQIEQgMEhAoAIAAABAAwQAwgJQRBQEAAIAQQUQiC6gAAg

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:0000000000ffffff
Perceptual Hash:ec43f9904bcc9c53
Difference Hash:d5dd656149232703
Wavelet Hash:7800103008ffffff
Color Hash:#9d87c5

Other Hashes

Crop Resistant:d5dd656149232703,c7c444523a3a2a2a,d4d4cd0f65616963,1f4f3133c1035f3c,4526e4ccd8e4254b,100830b2b2b20c10

Scan History

Scan history not available

Unable to load historical scan data