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
|
T1FB119C225011881B47135ED47AD18A08349FC30CCE531D1466F986DD6FF5E46CE6D698 |
|
CONTENT
ssdeep
|
12:hRwQ2U/tYy7FUVEgrvWNAL/JuItLVBHsoJDVgwHKxCWLe0jGuuuAq/GQmvCdkJ5a:hRxr/tYCBgrvWNMuILVNuyH0puCUja |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843da4d6c35acdd1 |
|
VISUAL
aHash
|
57031a006e324677 |
|
VISUAL
dHash
|
8e26b6a8d8e68cd5 |
|
VISUAL
wHash
|
5f031a606e326777 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
8e26b6a8d8e68cd5 |
Análisis de Código
🔒 Obfuscation Detected
- atob
- fromCharCode
- base64_strings
☁️ Cloud Backend
- Firebase: project1-d2f07.firebaseapp.com
📊 Desglose de Puntuación de Riesgo
Contributing Factors
🔬 Análisis Integral de Amenazas
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
- 24 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 24 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-netflix-with-react-firebase.vercel.app
Found 1 other scan for this domain
