SafeMode - Analysis: kratikatare.github.io

Captura Visual

Informações de Detecção

https://kratikatare.github.io/Amazon-Clone/

Detected Brand

Amazon

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

4575ad9d-b40…

Analyzed

2026-08-25 22:18

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1AA02CBA1D4B6D6B3149352F0C7752FDA3FC1D241C7621E0093E5934AAEAED89DF2291C
CONTENT ssdeep	192:a7Zy/QOdIlvliltl4ljlmlxlcl4ltlpjKm:a7Zy/QsKm

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	f84f134813875bce
VISUAL aHash	00fbf8ffc0c0ffcf
VISUAL dHash	c91702a29595979d
VISUAL wHash	00d1f0ffc0c0ff4e
VISUAL colorHash	07401010000
VISUAL cropResistant	828082c2c2828080,1313629695979f9d,e9c1036317176222,1c3d4cc6799d8523,981f3ba1c5c5b909,070e4c4e0606c667,41614d6c6c5e7e3e

Análise de Código

Nível de Ameaça ALTO

⚠️ Phishing Confirmed

📊 Detalhamento da Pontuação de Risco

Total Risk Score

70/100

🔬 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: Malicious Landing Page

Uses Amazon branding to appear legitimate in search results, social media, or advertising networks. Designed to redirect victims to phishing pages or distribute malware while maintaining appearance of authenticity.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.