SafeMode - Analysis: deeprajchoudhary.github.io

Captura Visual

Screenshot of deeprajchoudhary.github.io

Informações de Detecção

http://deeprajchoudhary.github.io/Netflix-clone

Detected Brand

Netflix

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

cc37deea-71c…

Analyzed

2026-06-21 10:22

Final URL (after redirects)

https://deeprajchoudhary.github.io/Netflix-clone/

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1C7919AB56156E99301A3E1E2A7B64F1B72D18709DE8B0B0062FEC35D5FE2D49EC43389
CONTENT ssdeep	96:Trkps1RJq4AQvOvAvKvovOvYvt8v4vsvxvbXgggB6N1RJuZ3:ceRJq4vQRJg3

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	bc9fc26b2407d84b
VISUAL aHash	821f1f0783cb0056
VISUAL dHash	2a7431b6321256ac
VISUAL wHash	821f1d1f83837a5e
VISUAL colorHash	39400010000
VISUAL cropResistant	2a7431b6321256ac

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

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: Brand Impersonation Redirect

Impersonates Netflix to build victim trust through search engine manipulation or malicious advertisements. Often redirects to credential theft pages or serves malware disguised as legitimate software.

Secondary Method: Standard Phishing Techniques

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