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
|
T1C8F1946021011B2F332759D5F215A3A5D0DAA70EDA27E839A27D037B17DEDC0FC65E86 |
|
CONTENT
ssdeep
|
192:ePuPpuj4VDcNyXLHZ8onQkeaGrkpSn23+kzBnn:00ne1I3p1 |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97931d17864d8cf2 |
|
VISUAL
aHash
|
3cffffffff0000ff |
|
VISUAL
dHash
|
f0c8154c08110800 |
|
VISUAL
wHash
|
00cfe7e7e70000ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
70dc1b4c144d4d16,0000000000000000,0001000b0b000100,0040404040404000,0000004000014044 |
Análisis de Código
🔒 Obfuscation Detected
- fromCharCode
- unescape
- base64_strings
🎯 Kit Endpoints
- resend
📊 Desglose de Puntuación de Riesgo
Contributing Factors
🔬 Análisis Integral de Amenazas
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
- 5 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 5 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 did.li
Found 10 other scans for this domain
