Phishing Analysis: Netflix

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Captura Visual

Información de Detección

https://pramodgc04.github.io/NETFLIX_CLONE

Detected Brand

Netflix

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

40203408-298…

Analyzed

2026-02-17 16:30

Final URL (after redirects)

https://pramodgc04.github.io/NETFLIX_CLONE/

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T15FA111A61241DE2E5177C3E2F332377A23A68289DA46130485FED3681BD6D5DED3B8C4
CONTENT ssdeep	96:ncYs1ReAt7kJLoWKjRzkHo2f9me281JfbQqn5:cYAReykloWKj5kHo2f9me28bfbQq5

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	d2cd32343dd32d92
VISUAL aHash	087c7c787c006e04
VISUAL dHash	d4c5f1ebe884cccc
VISUAL wHash	6a70fe7c7e006e06
VISUAL colorHash	31401008000
VISUAL cropResistant	d4c5f1ebe884cccc

Análisis de Código

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Desglose de Puntuación de Riesgo

Total Risk Score

70/100

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Netflix Phishing Landing Page

Objetivo

Netflix 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

Netflix

Official Website

https://www.netflix.com

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: SEO Poisoning Landing Page

Fake Netflix 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.