Summary
This website contacted 23 IPs in 3 countries across 9 domains to perform 34 HTTP transactions. The main domain is ticketshop.barcelona and was registered NaN years ago.
Submitted URL: https://ticketshop.barcelona/schedule.html
AI Security Verdict
Low Risk
Confidence: 85%
No immediate security threat detected, but the site uses FC Barcelona branding without official affiliation.
Risk Factors
Safety Factors
Details
Page Title
FC Barcelona fixtures & match schedule 2025/2026
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'ticketshop.barcelona' uses the .barcelona top-level domain and has no subdomain. The registrable portion 'ticketshop' spans 10 characters split between 3 vowels and 7 consonants. Word splitting yields 2 words: ticket, shop. The median word length lands at five 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 |
|---|---|---|---|
| 12 | 23.36.162.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.186.163 | United States | AS15169GOOGLE |
| 1 | 104.18.11.219 | United States | AS13335CLOUDFLARENET |
| 1 | 23.215.20.211 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 185.232.250.81 | Netherlands | AS48635Your Hosting B.V. |
| 1 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.18.10.219 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 142.250.186.168 | United States | AS15169GOOGLE |
| 34 | 23 | - | - |
Detected Technologies4
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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