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
|
T1B234867C300215AF6173CAD0B4A1BF0AE0E1F30BDE69E605D5EE12156FCBD62A9E1674 |
|
CONTENT
ssdeep
|
3072:PKoHf4jJ8rBKish6pKgwM4dUZL8R+7rr8Tpbf:CFir8Tpbf |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89cd26769d8a8cd9 |
|
VISUAL
aHash
|
b700191918100000 |
|
VISUAL
dHash
|
4d13b33372715559 |
|
VISUAL
wHash
|
ffd01b3f1c390d01 |
|
VISUAL
colorHash
|
30000009400 |
|
VISUAL
cropResistant
|
4d13b33372715559 |
Análisis de Código
🔒 Obfuscation Detected
- fromCharCode
- unescape
- base64_strings
📡 API Calls Detected
- GET
📊 Desglose de Puntuación de Riesgo
Contributing Factors
🔬 Análisis Integral de Amenazas
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
- 66 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 66 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 ngfffgygt.vgho9-foqhfoq.com
Found 1 other scan for this domain
