ScanMalware.com

Security Scan Report: www.stubhub.es

Site favicon
Submitted: May 24, 2026, 3:19:23 PMCompleted: May 24, 2026, 3:21:42 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 65 HTTP transactions. The main domain is stubhub.es.

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The site matches the StubHub brand but is unranked, has unknown age and heavily obfuscated scripts, making it suspicious; avoid interacting with it.

Risk Factors
Brand name on unranked domain
Unknown domain age
Heavy JavaScript obfuscation and dynamic code execution
Empty form without clear purpose
Numerous third‑party tracking endpoints
Safety Factors
Meta tags correctly reference the StubHub brand and match the domain (self‑branding, not impersonation)
No credential or payment fields collected
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network IDS alerts
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

Compra entradas para deportes, conciertos y teatro en StubHub.

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

entertainment media

(97%)

Domain Information

The domain name 'www.stubhub.es' uses the Spanish country-code top-level domain (.es) and includes subdomain 'www'. Its registrable label 'stubhub' stretches across 7 characters split between two vowels and 5 consonants. Breaking it apart gives two words: stub, hub. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

47.86s
Total Load Time
113
HTTP Requests
19
Domains
1.7 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-ES
Text Length:4,498 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media97% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
97%
adult content
38%
corporate
25%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2323.67.139.61Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
18142.251.13.97United States
AS15169Google LLC
1844.207.167.203Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1823.36.162.197Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1823.36.162.223Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
18148.113.163.172Canada
AS16276OVH SAS
1136--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107644C614C4138B3B7762FE96DFF7F4AA068C7A5C58219C7F5FC8D8802D9A44AC9921C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:riI61wAfTRnWi0liKxyJg25iLurLuAqqRPaLujF8G:rH61wAfTlWi0LurLuAqqRPaLujF8G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324505:SZCDDmcNw0eBhiuI4FIQMKACMGSwLAQmisDKoBJAYiCMpACohTIIQBUT0GwMQBRxIIoIxMqCAjADAwyOCgIPQBVDkMGNLCAE

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:fbc3c39f819f9fff
Perceptual Hash:bce1c63c6196c369
Difference Hash:3233033b33333023
Wavelet Hash:8381818f819f9f9f
Color Hash:#2b931f

Other Hashes

Crop Resistant:3233033b33333023,4db6b6b233323372,51551c1232347465,597970646c64b292

Scan History

Scan history not available

Unable to load historical scan data