EN ES PT
Back to Stats

Captura Visual

Screenshot of shadowbot-payment.pages.dev

Información de Detección

https://shadowbot-payment.pages.dev/
Detected Brand
Monad
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
ae214aab-566…
Analyzed
2026-08-31 12:29

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1EDB2A73212442E3EA5178BE9F6B4733951AED24DD22B852CF6FD02B25BC6D45D8332D8
CONTENT ssdeep
384:Fipu/oGDhHeYJcYEUmYjpwt5ft3/gRzjTrucd/HYxYb0YX:FipuhDhHeYJcYEUmYlGJGzjTrucd/HYO

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
cccf323371198ace
VISUAL aHash
c0fefcd890000000
VISUAL dHash
907060301030b0a8
VISUAL wHash
f8fffcfcf000004a
VISUAL colorHash
38000e00000
VISUAL cropResistant
907060301030b0a8

Análisis de Código

Risk Score 79/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Banking

🔒 Obfuscation Detected

  • atob
  • fromCharCode
  • unicode_escape

📡 API Calls Detected

  • POST

📊 Desglose de Puntuación de Riesgo

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking
Code Obfuscation
JavaScript code obfuscated using 10 technique(s) to evade detection

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Banking Credential Harvester
Objetivo
Monad users
Método de Ataque
obfuscated JavaScript
Canal de Exfiltración
Form submission (backend endpoint not detected - likely JavaScript-based)
Evaluación de Riesgo
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Banking
  • 10 obfuscation techniques

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Monad
Official Website
N/A
Fake Service
Banking/payment service

⚔️ Metodología de Ataque

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: JavaScript Obfuscation

Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
shadowbot-payment.pages.dev
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.