Phishing Analysis
Detailed analysis of captured phishing page
Captura Visual
Información de Detección
https://yu-kun-22.github.io/demoWebClone/
Detected Brand
Amazon
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
3c121014-910…
Analyzed
2026-07-10 22:15
Hashes de Contenido (Similitud HTML)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E871CB7064409A3300DBC3D1AB35A76F73D281DAEE47270593F5834A8FE6E5ADC01565 |
|
CONTENT
ssdeep
|
96:T7OKL/L/DD3BglizDk4kDglizDk4kPstB/Kz:3OKH3Bg1glstBKz |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95624b0f5dca0f4b |
|
VISUAL
aHash
|
0062f7ff0a3aff0a |
|
VISUAL
dHash
|
70aead925272f252 |
|
VISUAL
wHash
|
006677ff0a0aff0a |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
8282c2d2d2820080,aeaeacd25272ba52,616162623dc808b0,5dd5c468c8cc2c6d,61993d5919358dc7,3777641f17d73632,01019193d923330d,0101b193d92b232c,78e2451317c4a42b,a199b666b49090b0,2101037361233773,f8f8f8e6474d1513,4111035361616773,c6a5d95932a6a664 |
Análisis de Código
Nivel de Amenaza
ALTO
⚠️ Phishing Confirmed
📊 Desglose de Puntuación de Riesgo
Total Risk Score
40/100
🔬 Análisis Integral de Amenazas
Tipo de Amenaza
Amazon Phishing Landing Page
Objetivo
Amazon users
Método de Ataque
Phishing webpage
Canal de Exfiltración
Form submission (backend endpoint not detected - likely JavaScript-based)
Evaluación de Riesgo
LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)
🏢 Análisis de Suplantación de Marca
Impersonated Brand
Amazon
Official Website
https://www.amazon.com
Fake Service
Credential harvesting service
⚔️ Metodología de Ataque
Primary Method: Brand Impersonation Redirect
Impersonates Amazon to build victim trust through search engine manipulation or malicious advertisements. Often redirects to credential theft pages or serves malware disguised as legitimate software.
Secondary Method: Standard Phishing Techniques
Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.
🌐 Indicadores de Compromiso de Infraestructura
Domain Information
Dominio
yu-kun-22.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)
Hosting Information
Provider
Unknown
ASN
🤖 AI-Extracted Threat Intelligence
"Nunca pensé que me pasaría a mí"
Esto dicen las 2.3 millones de víctimas cada año. No esperes a ser una estadística.