Security Scan Report: www.portobellostreet.es

Submitted: Mar 16, 2026, 10:52:26 PMCompleted: Mar 16, 2026, 10:54:04 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 70 HTTP transactions. The main domain is portobellostreet.es.

Submitted URL: https://www.portobellostreet.es

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate furniture store site with no detected threats.

Safety Factors
Standard website features only (search, contact, cookie consent)
Domain age unknown but no suspicious activity observed
Domain age information unavailable

Details

Page Title

PortobelloStreet | Muebles de Diseño | Interiorismo Madrid

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'www.portobellostreet.es' uses the Spanish country-code top-level domain (.es) and includes subdomain 'www'. The registrable portion 'portobellostreet' spans 16 characters containing 6 vowels alongside 10 consonants. Tokenizing the label suggests two words: portobello, street. Median word length is eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.portobellostreet.es

Page Load Overview

1.64s
Total Load Time
28
HTTP Requests
3
Domains
261 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:3,810 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
782.223.32.198Spain
AS8560IONOS SE
7142.251.127.94United States
AS15169Google LLC
713.107.246.44United StatesUnknown
7142.250.187.232United StatesUnknown
284--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152B3E7621506123B739384C370E5E718BD85E22FD8B20091F9FC9BA98FEFC95512E769

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:t3zQsLEzOatcveIcqmUIyWpQbN1sGRo6P6whlIIaH:t30iS2QH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116068:AGADYAkg0IEoClcgEJDIzBiUNaaGwAHZwiyqmioAYQyIRF5UEiapwBsAGUUGW2KZyABIA2OaZkJIAOACACAPUVCOADggERW3

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:ffff80808180ffff
Perceptual Hash:ff1290cfb9d02e28
Difference Hash:31133b2b6767501f
Wavelet Hash:ffeb80808000ffef
Color Hash:#3a7850

Scan History

Scan history not available

Unable to load historical scan data