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Phishing Analysis

Detailed analysis of captured phishing page

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Captura Visual

Screenshot of codewithadarsh1.github.io

Información de Detección

https://codewithadarsh1.github.io/usd/
Detected Brand
Unknown
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
61216429-afc…
Analyzed
2026-08-26 22:40

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1CD31FCA03068ED36D04383D962F4A76BB2C2C106CB8E02105BF863B88FE2C45DC251EE
CONTENT ssdeep
48:TGupg0+3IWlo6Db+PSNEILneEzpMyRiqb:TGuQ3bo6D6PSWIiEzSUrb

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
cccc646666739999
VISUAL aHash
1818180000000000
VISUAL dHash
3032b20c10000000
VISUAL wHash
1f1f1f0f00000000
VISUAL colorHash
38000000e00
VISUAL cropResistant
3032b20c10000000

Análisis de Código

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

🔒 Obfuscation Detected

  • atob
  • fromCharCode
  • base64_strings

📡 API Calls Detected

  • account
  • 0x3b3b57de
  • stats
  • proxy
  • logs

📊 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
Code Obfuscation
JavaScript code obfuscated using 32 technique(s) to evade detection

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Banking Credential Harvester
Objetivo
General public
Método de Ataque
obfuscated JavaScript
Canal de Exfiltración
Unknown
Evaluación de Riesgo
CRITICAL - Automated credential harvesting with Unknown

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
  • 32 obfuscation techniques

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Generic Phishing
Official Website
N/A
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: JavaScript Obfuscation

Malicious code is obfuscated using 32 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
codewithadarsh1.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.