Phishing Analysis
Detailed analysis of captured phishing page
Captura Visual
Informações de Detecção
https://yu-kun-22.github.io/demoWebClone/
Detected Brand
Amazon
Country
Unknown
Confiança
100%
HTTP Status
200
Report ID
3c121014-910…
Analyzed
2026-07-10 22:15
Hashes de Conteúdo (Similaridade HTML)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E871CB7064409A3300DBC3D1AB35A76F73D281DAEE47270593F5834A8FE6E5ADC01565 |
|
CONTENT
ssdeep
|
96:T7OKL/L/DD3BglizDk4kDglizDk4kPstB/Kz:3OKH3Bg1glstBKz |
Hashes Visuais (Similaridade de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95624b0f5dca0f4b |
|
VISUAL
aHash
|
0062f7ff0a3aff0a |
|
VISUAL
dHash
|
70aead925272f252 |
|
VISUAL
wHash
|
006677ff0a0aff0a |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
8282c2d2d2820080,aeaeacd25272ba52,616162623dc808b0,5dd5c468c8cc2c6d,61993d5919358dc7,3777641f17d73632,01019193d923330d,0101b193d92b232c,78e2451317c4a42b,a199b666b49090b0,2101037361233773,f8f8f8e6474d1513,4111035361616773,c6a5d95932a6a664 |
Análise de Código
Nível de Ameaça
ALTO
⚠️ Phishing Confirmed
📊 Detalhamento da Pontuação de Risco
Total Risk Score
40/100
🔬 Análise Integral de Ameaças
Tipo de Ameaça
Amazon Phishing Landing Page
Alvo
Amazon users
Método de Ataque
Phishing webpage
Canal de Exfiltração
Form submission (backend endpoint not detected - likely JavaScript-based)
Avaliação de Risco
LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)
🏢 Análise de Falsificação de Marca
Impersonated Brand
Amazon
Official Website
https://www.amazon.com
Fake Service
Credential harvesting service
⚔️ Metodologia de Ataque
Primary Method: Brand Impersonation Redirect
Impersonates Amazon to build victim trust through search engine manipulation or malicious advertisements. Often redirects to credential theft pages or serves malware disguised as legitimate software.
Secondary Method: Standard Phishing Techniques
Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.
🌐 Indicadores de Compromisso de Infraestrutura
Domain Information
Domínio
yu-kun-22.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)
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.