Security Scan Report: www.football-addict.com

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Submitted: Oct 26, 2025, 4:09:10 PMCompleted: Oct 26, 2025, 4:10:46 PMpubliccompleted
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Summary

This website contacted 62 IPs in 3 countries across 13 domains to perform 57 HTTP transactions. The main domain is football-addict.com and was registered NaN years ago.

Submitted URL: https://www.football-addict.com/es/article/inicio/alvaro-carreras-a-hacer-callar-a-lamine-yamal/68fda0ac84fa2f6c8f012513

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain age (over 11 years)
No malicious Indicators of Compromise detected
Only standard search forms present
Domain age information unavailable

Details

Page Title

Álvaro Carreras, a hacer callar a Lamine Yamal... | Fútbol-Addict

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

adult content

(52%)

Domain Information

Domain 'www.football-addict.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 15 characters in 'football-addict' split between five vowels and nine consonants, along with one hyphen. Segmentation suggests two words: football, addict. Median word length comes out to 7 characters. 'football' is most common in English usage. Usage also turns up in Chinese (Pinyin) and Tagalog contexts. Overall, 'www.football-addict.com' reads as English with character flair.

Screenshot

Security scan screenshot of https://www.football-addict.com/es/article/inicio/alvaro-carreras-a-hacer-callar-a-lamine-yamal/68fda0ac84fa2f6c8f012513

Page Load Overview

32.83s
Total Load Time
57
HTTP Requests
13
Domains
436 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:4,053 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
52%
news media journalism
46%
government public service
40%
news/blog
35%
corporate
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57104.16.174.226United States
AS13335CLOUDFLARENET
0104.26.12.128United States
AS13335CLOUDFLARENET
0216.239.32.36United States
AS15169GOOGLE
0104.18.29.119United States
AS13335CLOUDFLARENET
0104.18.28.119United States
AS13335CLOUDFLARENET
052.222.236.13United States
AS16509AMAZON-02
052.222.236.20United States
AS16509AMAZON-02
0104.21.88.122United States
AS13335CLOUDFLARENET
0104.18.31.80United States
AS13335CLOUDFLARENET
0104.18.8.229United States
AS13335CLOUDFLARENET
5762--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18363821196F85026413355CD5EF33B19A5D3A24BDA0A4D92B7ADAF18EFC9E82BC0341F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Okh03Hc52mzRzctOlUJ9ebTe3kmrV9H7J2PZ5vRzctOlUJAZzM:Okh0382cpYOTW72PZBplM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71943:ksEhTAgSXCZASVCKYhDjoSBoCeUIEAgokYhsQCB8MjAACECTOABYgSCBIAmAF6IRXVcWQDDcYCEjQ5gcIIjNgoLoVsTA3mcl

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:00ffffffffffefcf
Perceptual Hash:b94e314e313e4e39
Difference Hash:71020e0ec2c2129a
Wavelet Hash:001cfa807b7b1343
Color Hash:#6ce096

Other Hashes

Scan History

Scan history not available

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