SafeMode - Analysis: sfgdgd.github.io

Captura Visual

Información de Detección

http://sfgdgd.github.io/amazon-dashboard-clone

Detected Brand

Amazon

Country

Unknown

Confianza

100%

HTTP Status

200

Report ID

1715edfc-24e…

Analyzed

2026-04-14 01:14

Final URL (after redirects)

https://sfgdgd.github.io/amazon-dashboard-clone/

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1C691A6B05482BA3301D3C3C5EF39678FA2D886A5EA87571513F493989ECEE5FDD21810
CONTENT ssdeep	96:TjoJ3k1qDk9DYGto7MT7rFnFXFXFXFibKB:/oJ3GYTkFXFXFXFibKB

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19394fd4c14f4e
VISUAL aHash	000b01ffb430ffff
VISUAL dHash	72dbdd9464656565
VISUAL wHash	000301ff30b0ffff
VISUAL colorHash	07207000000
VISUAL cropResistant	8282c2e2e0c28282,dbdf9be46565a565,63db1adbdbefbdde,d9e6766663697926,4c9736666d595932,edccdbb3b7b7beb6,616c6e5e1e5e7e7c,0d06028686069a9a

Análisis de Código

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

📊 Desglose de Puntuación de Riesgo

Total Risk Score

40/100

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Amazon Phishing Landing Page

Objetivo

Amazon users

Método de Ataque

Phishing webpage

Canal de Exfiltración

Form submission (backend endpoint not detected - likely JavaScript-based)

Evaluación de Riesgo

LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

🏢 Análisis de Suplantación de Marca

Impersonated Brand

Amazon

Official Website

https://www.amazon.com

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: SEO Poisoning Landing Page

Fake Amazon page designed to appear in search results and trick users into visiting. May redirect to credential harvesting pages, malware downloads, or serve as a trust-building step before requesting sensitive information.

Secondary Method: Standard Phishing Techniques

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