SafeMode - Analysis: ktayyaba302-stack.github.io

Captura Visual

Screenshot of ktayyaba302-stack.github.io

Informações de Detecção

https://ktayyaba302-stack.github.io/amazon-clone/

Detected Brand

Amazon

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

d7477455-0fe…

Analyzed

2026-05-16 10:10

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1328168706082FA3742D2C2D5EB39675B33D886D0DA47971543F5C34D9ECAE9EED21920
CONTENT ssdeep	48:T8CHLXaJJelHCDFuw0WJZA5m0Y5z0K5wK5tB5y2551Kx5sBN55J4mimimim5V56G:T7eJJexCDFqa4IlBL8IUVVViyKb

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19394e5ed84d4e
VISUAL aHash	00030ffe30b3ffff
VISUAL dHash	72dbdbe46565a554
VISUAL wHash	000303f630b1ffff
VISUAL colorHash	07207008000
VISUAL cropResistant	0000e0e8e8e00080,5bdf9c646565a5d4,72f39adbdbdfc79c,36b49a1a1b1d2c2c,4c9eb33276657d59,adccdbb3b7b7beb6,616c6c5e1e7e7e7c,0d06028202029a9a

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.