Security Scan Report: www.aesfas.org

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Submitted: Completed: publiccompleted
This website contacted 30 IPs in 2 countries across 20 domains to perform 134 HTTP transactions. The main domain is aesfas.org and was registered 15 years ago.

Submitted URL: https://www.aesfas.org/que-es-la-uefa-nations-league-o-liga-de-las-naciones/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established Spanish association (AESFAS) site publishing an informational article about the UEFA Nations League; no impersonation, no credential/payment forms, and no threat-intelligence hits.

Safety Factors (5)
Well-established 15-year-old domain
Self-branding consistent with the domain (AESFAS)
Editorial/article content with no data collection beyond newsletter and comments
No Indicators of Compromise, malware or network alerts
Forms are same-origin and limited to search, commenting and newsletter subscription
Domain age information unavailable

Details

Page Title

¿Qué es la UEFA Nations League o Liga de las Naciones? – AESFAS

Scan Type

public

Domain Name Analysis

Within the non-profit oriented generic top-level domain (.org), 'www.aesfas.org' is registered and includes subdomain 'www'. The second-level label 'aesfas' is 6 characters long containing 3 vowels alongside three consonants. Tokenizing the label suggests 3 words: a, esf, as. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

:nción al ASA 1664 20 51 50 (Lunes a Viernes) aesfas BENEFICIOS VIAJES v HOTELES y BALNEARIOS v IMSERSO v SOLICITAR LA TARJETA ¿Qué es la UEFA Nations League o Liga de las A sna Naciones? CN | Últ...

Page Load Overview

4.09s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:8,752 chars
Detector Agreement:100%

All Detected Languages

🇪🇸es(96%)🇮🇹it(3%)🇺🇸en(1%)🇱🇹lt(1%)🇵🇹pt(0%)

Website Classification

Primary Category

healthcare medical97% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
97%
travel tourism
92%
finance banking
52%
adult content
51%
phishing scam
49%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9282.98.154.76Madrid, Madrid, Spain
AS42612DinaHosting S.L.
5216.239.32.36Google · CDNUnited States
AS15169Google LLC
4141.101.90.105Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.18.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
4141.101.90.106Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
418.66.102.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
43.167.227.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
465.9.130.127Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
454.211.95.86Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
13430--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E143C6119AD5C3F436352C9E499E74D20AFE836D552C8ECF6FF867463D0CD0A632A22

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:R59q6QlAUHgjbL8+UTy9HS7nDFiCOPEOj3N9N5dSGOybMWtS3srzgz+3LzQyTXWn:lsmUA+nYAyb3z0yLzzTmWWT5r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:195056:DCih4QIpIIYgBJEijEJASRAgAgQkKQgBKACYtWCOgYLSVAHjGaBj4ECUJARgCuEBKaxADBHfsAxQQuMFUEEMJRJCRJCBAMKA

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:00ff878383c7ffff
Perceptual Hash:bc36c3473c493636
Difference Hash:643a2f36362f1333
Wavelet Hash:00cf83838383fbdf
Color Hash:07200008180

Scan History

Scan history not available

Unable to load historical scan data