Security Scan Report: shop.footballticketsbarcelona.com

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Submitted: Nov 2, 2025, 5:13:52 PMCompleted: Nov 2, 2025, 5:14:58 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 4 domains to perform 19 HTTP transactions. The main domain is shop.footballticketsbarcelona.com and was registered NaN years ago.

Submitted URL: https://shop.footballticketsbarcelona.com/fc-barcelona-elche-tickets-liga/156/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Site appears legitimate but uses brand name without official affiliation; no immediate security threat.

Risk Factors
Potential brand impersonation: uses FC Barcelona branding on a non‑official, unranked domain
Safety Factors
Clear disclaimer stating no official affiliation with any football club
Absence of credential or payment collection forms
Long domain age indicating established presence
Domain age information unavailable

Details

Page Title

Barcelona vs Elche tickets La Liga November 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(45%)

Domain Information

You're looking at domain 'shop.footballticketsbarcelona.com' on the commercial generic top-level domain (.com) and includes subdomain 'shop'. The registrable portion 'footballticketsbarcelona' spans 24 characters holding nine vowels versus 15 consonants. Splitting it apart reveals 3 words: football, tickets, barcelona. The median word length lands at eight characters. Most frequently, 'football' shows up in English. You may catch it in Chinese (Pinyin) and German as well.

Screenshot

Security scan screenshot of https://shop.footballticketsbarcelona.com/fc-barcelona-elche-tickets-liga/156/

Page Load Overview

18.79s
Total Load Time
19
HTTP Requests
4
Domains
703 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,513 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
45%
e-commerce shopping
45%
news media journalism
42%
entertainment media
40%
government public service
39%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1162.144.0.200United States
AS46606UNIFIEDLAYER-AS-1
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1142.250.185.72United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
12a04:4e42:200::649United States
AS54113FASTLY
1216.239.32.36United States
AS15169GOOGLE
12001:4860:4802:32::36United States
AS15169GOOGLE
12a04:4e42::649United States
AS54113FASTLY
12001:4860:4802:34::36United States
AS15169GOOGLE
1915--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D626237A740812F7E7313E876E2B31DF1E39B05E60AA84591EA935507E0FD698F214B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lm2BLMi5cszt0VScUdcQex3lEosRZU6gj4t8PIm:sCIi5cszFGf3lEosRWPj4mPIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15803:wUSwPjSSICBVKSgRMoIAYBzUiKQCANm68gggpZZRBBUcGAgK1EgZiIwUEUwkCIJACZAyEV3BoKKBaF1OYkBIqHJJOiUBEUCo

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:ff003c3c1c3c3c3c
Perceptual Hash:923cc3b8bcc7c338
Difference Hash:3199f9f0f9f0f8e8
Wavelet Hash:ff003c3c3c3c3c3c
Color Hash:#c5879e

Scan History

Scan history not available

Unable to load historical scan data