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Security Scan Report: www.barcablaugranes.com

Submitted: Oct 12, 2025, 1:21:15 PMCompleted: Oct 12, 2025, 1:22:58 PMpubliccompleted
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Summary

This website contacted 86 IPs in 3 countries across 35 domains to perform 190 HTTP transactions. The main domain is barcablaugranes.com and was registered NaN years ago.

Submitted URL: https://www.barcablaugranes.com/2025/4/2/24398212/atletico-madrid-barcelona-copa-del-rey-semi-final-2nd-leg-final-score-match-report-recap-reactions

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate fan‑run sports blog with no security threats.

Safety Factors
Long‑standing domain with established registration date
Only standard newsletter signup (email only) and search form
Content is a public match recap, no request for sensitive data
Domain age information unavailable

Details

Page Title

www.barcablaugranes.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(65%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.barcablaugranes.com' is registered, featuring subdomain 'www'. The core label 'barcablaugranes' covers 15 characters split between 6 vowels and nine consonants. Breaking it apart gives four words: barca, blau, grane, s. The median word length lands at 4.5 characters. 'bara' most strongly signals Croatian. It also appears in Slovenian and Icelandic contexts. Taken together, it feels Croatian.

Screenshot

Security scan screenshot of https://www.barcablaugranes.com/2025/4/2/24398212/atletico-madrid-barcelona-copa-del-rey-semi-final-2nd-leg-final-score-match-report-recap-reactions

Page Load Overview

52.51s
Total Load Time
190
HTTP Requests
35
Domains
6.2 MB
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-US
Text Length:24,499 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
65%
news media journalism
37%
forum
35%
adult content
25%
social_media
25%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20172.64.145.17United States
AS13335CLOUDFLARENET
2192.0.66.121San Francisco, California, United States
AS2635AUTOMATTIC
2142.250.184.195United States
AS15169GOOGLE
2108.138.4.226United States
AS16509AMAZON-02
2104.18.87.42United States
AS13335CLOUDFLARENET
2104.20.20.189United States
AS13335CLOUDFLARENET
2142.250.186.100United States
AS15169GOOGLE
2104.17.25.14United States
AS13335CLOUDFLARENET
234.120.171.7Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
23.239.232.102Ashburn, Virginia, United States
AS14618AMAZON-AES
19086--

Detected Technologies3

WordPress
75%
HTTP/3
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E44C8354158143B87B707CA35A13F85F4B3E1ABF99A43A43BEE5BE853D1DC2D4221A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:njoRh4sGAuy24jeLEUiuU7TzYUFnHaDppDTXZvtRZZNfi1GbqBDpBee9cBDTuee1:njor24Lu3SiaFh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:259960:TVHgYmDCQAhDAGCRIAAKzoAZVCCkkChAl84jiIFoBtccGFBuD6teKAAhVDDhhRAHyIcggGKIKI0AQCXCDeBQAADAIwUAAJBB

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:0000ffffdffff9ff
Perceptual Hash:b8164b18366bc6f9
Difference Hash:f1f1002d3c2b2b2f
Wavelet Hash:0000ffc7c7f7c1c3
Color Hash:#2d77d2

Other Hashes

Crop Resistant:f1f1002d3c2b2b2f,8d8d922fac566b69,34d5c9f0f0cd3333

Scan History

Scan history not available

Unable to load historical scan data