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Captura Visual

Screenshot of mh-sifat.github.io

Información de Detección

https://mh-sifat.github.io/Apple-Shop
Detected Brand
Apple
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
c376c15f-ffe…
Analyzed
2026-06-10 22:19
Final URL (after redirects)
https://mh-sifat.github.io/Apple-Shop/

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1A28176205050297B428352FEB3F4AB4DB7D1C187CE671A0592F9D3DD1EABD02DD23925
CONTENT ssdeep
96:TEGe9PGjaDtvrZsS754oUUUcgNCCQSOoCQo7iV4n:wGOPBTKSwUUc17Syk4n

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
8e1768f53e68712c
VISUAL aHash
003f1f1f1fffd191
VISUAL dHash
6b70777a79402325
VISUAL wHash
001f1f1f1fff9180
VISUAL colorHash
06201010001
VISUAL cropResistant
687c747a7c522325,f0d4968f8e8ac4d4,04034b4b574b0b04,3ebdccdececd310f,313d1d4d6d1d3c39,2b3bb73330333332

Análisis de Código

Risk Score 70/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Banking 🎣 Personal Info

📡 API Calls Detected

  • GET

📊 Desglose de Puntuación de Riesgo

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Banking Credential Harvester
Objetivo
Apple users
Método de Ataque
credential harvesting forms
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, Personal Info

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Apple
Official Website
https://www.apple.com
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: Two-Factor Authentication Bypass

Victim is prompted for 2FA code after entering credentials. The code is intercepted and used by attacker to access victim's account in real-time.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
mh-sifat.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.