EN ES PT
Back to Stats

Captura Visual

Screenshot of bridge-en.framer.ai

Informações de Detecção

https://bridge-en.framer.ai/
Detected Brand
Trezor
Country
Unknown
Confiança
100%
HTTP Status
200
Report ID
9338200d-fe7…
Analyzed
2026-05-28 13:39

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T15C22DA37F11866250AA74299EBC1E6DCE327C25DE6314681A1D9C01D7AC1EF09AF33DE
CONTENT ssdeep
96:hohJmKohzohbC7aR1sYtxITwkFiNa0lvxz6qfiQj22AHDIAfFEaK9UZlL/DWEfMz:BUdyvGvp6U2fjzFEa7HWEfMmUU8VCoZ

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
bc3a40c9c9cbcb4b
VISUAL aHash
9987879f8fdfffdf
VISUAL dHash
333d2f331b373536
VISUAL wHash
89878fc381879f93
VISUAL colorHash
07201000600
VISUAL cropResistant
333d2f331b373536

Análise de Código

Risk Score 76/100
Nível de Ameaça ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Banking 🎣 Personal Info

🔒 Obfuscation Detected

  • fromCharCode
  • base64_strings

📊 Detalhamento da Pontuação de Risco

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 10 technique(s) to evade detection

🔬 Análise Integral de Ameaças

Tipo de Ameaça
Banking Credential Harvester
Alvo
Trezor users
Método de Ataque
obfuscated JavaScript
Canal de Exfiltração
Form submission (backend endpoint not detected - likely JavaScript-based)
Avaliação de Risco
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

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

🏢 Análise de Falsificação de Marca

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

⚔️ Metodologia 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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Indicadores de Compromisso de Infraestrutura

Domain Information

Domínio
bridge-en.framer.ai
Registered
Unknown
Registrar
Unknown
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.