Phishing Analysis
Detailed analysis of captured phishing page
Captura Visual
Información de Detección
Hashes de Contenido (Similitud HTML)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185B34DA03A68F6A55AB343D3509F2003B378153F540E4D60A354ECEE76ADC9EA0A7FD5 |
|
CONTENT
ssdeep
|
1536:mbVB4e8vxItGO2dHj1Bdi94yTVq53QlHxh8N6R8XXhjaPnQWT+muEpc:s4n89XTj/mN6yXt1IS |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9599b6c64929266 |
|
VISUAL
aHash
|
8bc9ffcfc2cfffc7 |
|
VISUAL
dHash
|
32929c949694480c |
|
VISUAL
wHash
|
1e4a5f4f524e7e04 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
32929c949694480c |
Análisis de Código
🔒 Obfuscation Detected
- atob
- fromCharCode
- unicode_escape
- base64_strings
☁️ Cloud Backend
- Supabase: eqsdnhvtwxnwknxnptdn.supabase.co
📊 Desglose de Puntuación de Riesgo
Contributing Factors
🔬 Análisis Integral de Amenazas
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
- 25 obfuscation techniques
🏢 Análisis de Suplantación de Marca
⚔️ 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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
🌐 Indicadores de Compromiso de Infraestructura
Domain Information
Hosting Information
🤖 AI-Extracted Threat Intelligence
Similar Websites
Pages with identical visual appearance (based on perceptual hash)
Scan History for clone-whatsapp-nextjs.vercel.app
Found 1 other scan for this domain
