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Captura Visual

Screenshot of amlscreening.center

Informações de Detecção

https://amlscreening.center/
Detected Brand
Unknown
Country
Unknown
Confiança
100%
HTTP Status
200
Report ID
2728cde7-5ff…
Analyzed
2026-06-17 11:28

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T18982A7B2B689F3B7039202D46A32A7FDE36A4281C7612F5463FC915C87E5F28C933955
CONTENT ssdeep
192:l94wN2ilXip46qL/dRcTgXgoizFkeT0nF5xQZ8y1KxE6LlzLj:lrNXl0+z05oipr0nFQGeKW0lzf

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
cfdc873331617132
VISUAL aHash
3c3ffe1818183c18
VISUAL dHash
f060f0f030606171
VISUAL wHash
1cfffe3818183c38
VISUAL colorHash
380000001c0
VISUAL cropResistant
f060f0f030606171

Análise de Código

Risk Score 68/100
Nível de Ameaça MEDIO
⚠️ Phishing Confirmed
🎣 OTP Stealer 🎣 Banking

🔒 Obfuscation Detected

  • unescape

📡 API Calls Detected

  • POST

📊 Detalhamento da Pontuação de Risco

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: OTP Stealer, Banking
Code Obfuscation
JavaScript code obfuscated using 2 technique(s) to evade detection

🔬 Análise Integral de Ameaças

Tipo de Ameaça
Banking Credential Harvester
Alvo
General public
Método de Ataque
obfuscated JavaScript
Canal de Exfiltração
Unknown
Avaliação de Risco
HIGH - Automated credential harvesting with Unknown

⚠️ Indicators of Compromise

  • Kit types: OTP Stealer, Banking
  • 2 obfuscation techniques

🏢 Análise de Falsificação de Marca

Impersonated Brand
Generic Phishing
Official Website
N/A
Fake Service
Banking/payment service

⚔️ Metodologia de Ataque

Primary Method: Two-Factor Authentication Bypass

Victim is prompted for 2FA code after entering credentials. The code is intercepted and used by attacker to access victim's account in real-time.

Secondary Method: JavaScript Obfuscation

Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Indicadores de Compromisso de Infraestrutura

Domain Information

Domínio
amlscreening.center
Registered
Unknown
Registrar
None
Estado
Age unknown

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
"Nunca pensei que aconteceria comigo"
Isso dizem os 2,3 milhões de vítimas a cada ano. Não espere para ser uma estatística.