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Phishing Analysis

Detailed analysis of captured phishing page

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Captura Visual

Screenshot of jbagnoli.github.io

Informações de Detecção

https://jbagnoli.github.io/Mob-Calculator
Detected Brand
Microsoft
Country
Unknown
Confiança
100%
HTTP Status
200
Report ID
f4eae997-dfe…
Analyzed
2026-07-23 10:10
Final URL (after redirects)
https://jbagnoli.github.io/Mob-Calculator/

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T185A20871B0206C3A91DB85FEF236EA411B58E204D30B8B75F9BC83CD19D691CF963669
CONTENT ssdeep
192:EjDbNqOJUHy0XP72eoWvb5aOLa723RR9PLhCilu7MPaEkLrPuS3VscSgTlqG:E8OJ5u72eoWrLC+Pdw7D/38ghqG

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
8cdd62369c89999e
VISUAL aHash
000018181e180101
VISUAL dHash
a00cb2b2b2b24d37
VISUAL wHash
f0f0783e3e1f0703
VISUAL colorHash
30000400030
VISUAL cropResistant
b23062f2b2a083a3,9a00403432620042,a00cb2b2b2b24d37

Análise de Código

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

🔐 Credential Harvesting Forms

🔒 Obfuscation Detected

  • atob
  • eval
  • fromCharCode
  • unescape
  • hex_escape
  • unicode_escape
  • base64_strings

🎯 Kit Endpoints

  • https://aadcdn.msauthimages.net/dbd5a2dd-vulywoceen-haivm92tnqs9rbbcdruwtcirk-xkq30u/logintenantbranding/0/bannerlogo?ts=637414986806360859
  • https://login.microsoftonline.com/fb493854-53e5-43ed-b3f1-2d70a4a1c674/login

📡 API Calls Detected

  • POST

📤 Form Action Targets

  • https://login.microsoftonline.com/fb493854-53e5-43ed-b3f1-2d70a4a1c674/login

📊 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
Credential Harvesting
Credential harvesting detected with 4 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 107 technique(s) to evade detection

🔬 Análise Integral de Ameaças

Tipo de Ameaça
Banking Credential Harvester
Alvo
Microsoft users
Método de Ataque
credential harvesting forms + obfuscated JavaScript
Canal de Exfiltração
HTTP POST to backend
Avaliação de Risco
CRITICAL - Automated credential harvesting with HTTP POST to backend

⚠️ Indicators of Compromise

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

🏢 Análise de Falsificação de Marca

Impersonated Brand
Microsoft
Official Website
https://www.microsoft.com
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Indicadores de Compromisso de Infraestrutura

Domain Information

Domínio
jbagnoli.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
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