Security Scan Report: villalbilla.es

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Submitted: Jan 6, 2026, 5:51:35 AMCompleted: Jan 6, 2026, 5:54:27 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 7 domains to perform 218 HTTP transactions. The main domain is villalbilla.es.

Submitted URL: https://villalbilla.es/la-ilusion-toma-las-calles-cabalgata-de-los-reyes-magos-2026/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal event page with no security concerns.

Safety Factors
Official-looking municipal domain (villalbilla.es)
No credential or payment collection
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

La ilusión toma las calles: Cabalgata de los Reyes Magos 2026 –

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

documentation technical

(57%)

Domain Information

The domain 'villalbilla.es' uses the Spanish country-code top-level domain (.es) without a subdomain. The core label 'villalbilla' covers 11 characters with 4 vowels and 7 consonants. Tokenizing the label suggests 4 words: villa, l, bill, a. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://villalbilla.es/la-ilusion-toma-las-calles-cabalgata-de-los-reyes-magos-2026/

Page Load Overview

95.17s
Total Load Time
201
HTTP Requests
5
Domains
2.3 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:21,602 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical57% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
57%
technology software
47%
news/blog
35%
forum
20%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26142.251.141.67Germany
25192.0.77.48Germany
25142.251.208.8United States
AS15169GOOGLE
25142.250.185.68United States
AS15169GOOGLE
25216.239.34.36GermanyUnknown
25104.20.20.192United States
AS13335CLOUDFLARENET
25217.160.0.16Germany
AS8560IONOS SE
25172.66.171.172United States
AS13335CLOUDFLARENET
2018--

Detected Technologies5

100%
Bootstrapv10.14.9
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BD4C4333314673A115B83CCE6E6B24A32A5C1C7F2A951D8FBEB85558E89EF354B0D18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Z3lGu/zclIZLGu/zclIZRGu/zclIZSoxxJTN06HrS6R:DGu/zclIBGu/zclIPGu/zclInxDTN06F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:607552:lRmAeqgytK6QNgIIriBNGMgGRmGHonHywCQMtAhOBRwQchEAQgwHICCOAgq6g1QgAkFWAbOJ2KozCDVgZUhZMW0EEHRIgjCJ

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:c30300ffe7ffff7f
Perceptual Hash:a03530f6f2de0f0d
Difference Hash:1e9ee208cccc949c
Wavelet Hash:c300007f4767476f
Color Hash:#a4e06c

Scan History

Scan history not available

Unable to load historical scan data