Phishing Analysis: Netflix

Captura Visual

Informações de Detecção

https://yashisahay.github.io/Project1

Detected Brand

Netflix

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

881dde85-05c…

Analyzed

2026-03-17 05:09

Final URL (after redirects)

https://yashisahay.github.io/Project1/

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1A8E120B22245DD2B1563D3E2B332776A32A69289CA47030495FEC35C1BD6D59DC3B988
CONTENT ssdeep	192:/YJMRerN2zgyEEHkloWKj5kHo2f9me28bfbQor5:/OMReJ2z7ENYwD32Jo1

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	da25d22dd22dd866
VISUAL aHash	00003c000018b8fc
VISUAL dHash	86ccd03810b23168
VISUAL wHash	00007e1800ffffff
VISUAL colorHash	30201018040
VISUAL cropResistant	6c696229a3a7a9a9,a3e6ea16132b2da5,ffffbbbc9e8fb792,1aaedadb2464ecec,86ccd03810b23168

Análise de Código

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Detalhamento da Pontuação de Risco

Total Risk Score

70/100

🔬 Análise Integral de Ameaças

Tipo de Ameaça

Netflix Phishing Landing Page

Alvo

Netflix 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

Netflix

Official Website

https://www.netflix.com

Fake Service

Credential harvesting service

⚔️ Metodologia 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.