Security Scan Report: lasfutbolistas.com

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Submitted: Feb 11, 2026, 7:27:56 PMCompleted: Feb 11, 2026, 7:32:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is lasfutbolistas.com and was registered NaN years ago.

Submitted URL: https://lasfutbolistas.com/previa-uwcl-paris-fc-vs-real-madrid-como-llegan-horario-donde-ver-y-alineaciones-probables/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns.

Safety Factors
Informational sports content
Established domain age
No credential or payment forms
No detected malware or suspicious scripts
Domain age information unavailable

Details

Page Title

lasfutbolistas.com

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

news media journalism

(92%)

Domain Information

The domain 'lasfutbolistas.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'lasfutbolistas' stretches across 14 characters holding 5 vowels versus 9 consonants. It segments into 5 words: las, futbol, is, t, as. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lasfutbolistas.com/previa-uwcl-paris-fc-vs-real-madrid-como-llegan-horario-donde-ver-y-alineaciones-probables/

Page Load Overview

2.06s
Total Load Time
179
HTTP Requests
11
Domains
3.3 MB
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:9,922 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism92% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
92%
entertainment media
87%
adult content
55%
news/blog
50%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
79217.160.0.24Germany
AS8560IONOS SE
1791--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F9048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Old1:fhoC9JSqzzbs6o3Sj3gcrss2eA3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184754:g68iCAgHAYSwZUMmEiDABAIGZBYAIJERMMBJgM0AADTIG4AoKwTACgbpZPKJBCZIRIaJLVFZsABfxRQQDhAMZMIEQCRCgCoE

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc333326
Difference Hash:00100c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#ac5372

Other Hashes

Crop Resistant:00100c1c00000000

Scan History

Scan history not available

Unable to load historical scan data