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Phishing Analysis

Detailed analysis of captured phishing page

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Captura Visual

Screenshot of mrmmhung-cpu.github.io

Informações de Detecção

https://mrmmhung-cpu.github.io/fictional-octo-meme/
Detected Brand
DHL
Country
Unknown
Confiança
100%
HTTP Status
200
Report ID
34b23ec7-da9…
Analyzed
2026-06-26 22:10

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T11DE1A6D3231596FA9847C7E92FB57D17379AC0D8D6450A6081E787496CC7CFBC860AC0
CONTENT ssdeep
96:T5qJjFSDDqbSvQ5+Ul+vwJfsLzQ087CMy4r5mrfAY+uHvNwdckx8cw:nDgD+vwJOzQ087fyBrfdjkckKH

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
b31d4c270f1d3327
VISUAL aHash
00ffefffe7e7ffff
VISUAL dHash
c13448324d4d32cd
VISUAL wHash
0080ecfc27034cfd
VISUAL colorHash
07000038000
VISUAL cropResistant
c13448324d4d32cd

Análise de Código

Risk Score 80/100
Nível de Ameaça ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester

🔐 Credential Harvesting Forms

📡 API Calls Detected

  • https://ipapi.co/json/
  • https://api.ipify.org?format=json
  • https://formsubmit.co/[email protected]

📤 Form Action Targets

📊 Detalhamento da Pontuação de Risco

Total Risk Score
80/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data

🔬 Análise Integral de Ameaças

Tipo de Ameaça
Credential Harvesting Kit
Alvo
DHL users
Método de Ataque
credential harvesting forms
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

🏢 Análise de Falsificação de Marca

Impersonated Brand
DHL
Official Website
N/A
Fake Service
Credential harvesting 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: Client-Side Form Interception

JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.

🌐 Indicadores de Compromisso de Infraestrutura

Domain Information

Domínio
mrmmhung-cpu.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
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