Security Scan Report: fc-barcelona.alle.bg

Submitted: Nov 25, 2025, 10:55:04 PMCompleted: Nov 25, 2025, 10:59:05 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 6 domains to perform 28 HTTP transactions. The main domain is fc-barcelona.alle.bg.

Submitted URL: https://fc-barcelona.alle.bg/footballers/ronald-araujo/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Impersonates FC Barcelona on an unranked domain – high‑risk phishing site.

Risk Factors
Brand impersonation on a non‑official, unranked domain
UNRANKED domain used to mimic a well‑known sports club
Possible typo‑squatting/typosquatting of FC Barcelona brand
Display of personal information without consent
Domain age information unavailable

Details

Page Title

Ronald Araujo

Scan Type

public

Language

🇧🇬

BG

(80% confidence)

Category

blog personal website

(77%)

Domain Information

The domain name 'fc-barcelona.alle.bg' uses the Bulgarian country-code top-level domain (.bg); it also runs on subdomain 'fc-barcelona'. The registrable portion 'alle' spans 4 characters with 2 vowels and 2 consonants. Splitting it apart reveals one word: alle. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fc-barcelona.alle.bg/footballers/ronald-araujo/

Page Load Overview

0.81s
Total Load Time
28
HTTP Requests
6
Domains
754 KB
Total Size

Language Analysis

Primary Language

🇧🇬BG
Code: bg
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bg
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bg
Text Length:81,022 chars
Detector Agreement:25%

Website Classification

Primary Category

blog personal website77% confidence
Type: static
Method: ml+structural

All Detected Categories

blog personal website
77%
documentation technical
52%
healthcare medical
41%
social media network
39%
government public service
35%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11185.215.164.215Düsseldorf, North Rhine-Westphalia, Germany
AS51167Contabo GmbH
6142.250.186.110United States
AS15169GOOGLE
4142.250.186.131United States
AS15169GOOGLE
363.176.158.141Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3142.250.186.98United States
AS15169GOOGLE
22a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:811::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:831::2002Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.186.106United States
AS15169GOOGLE
2810--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF64A6B27E089231FB3B552BB4A2F58C70189E52C28107E2F9D19172DCEEC7E25D1769

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:JchAH8ElDE2DPs17djMwLDroGrngLgdLgkVm4Zn4cxQmC7rCY8k4h0MoM1v788p9:Wv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:308642:olIXkIiwQBAxCpCDzBNEjDYRCISACWEwQQAbEEgwHCCHXWQwI4bAOiAZQYQdJejAEDJEBKUICAGpbhAVQYEgYAAAR7kpKZht

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:0000ff00fcfcfcfc
Perceptual Hash:da254e5a21a7f1d2
Difference Hash:e1b1b0e399716959
Wavelet Hash:0000fe00fdfcfcfc
Color Hash:#5d931f

Scan History

Scan history not available

Unable to load historical scan data