Phishing Analysis: Netflix

Visual Capture

Detection Info

https://mukul0180.github.io/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

f97722a6-031…

Analyzed

2026-04-08 08:07

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T158020DB26155AA3F51E783E0B3753B2B72D28280CA83162855FCD36C1FDAE0ADD23574
CONTENT ssdeep	192:25ctyZELmdIcUBcKz9otJelnccj24CSiv7Xqj7x:EIyZELmdIcUBGtJelnccjDCrvu

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	d02fd0294bd25ff0
VISUAL aHash	0002be000000ffff
VISUAL dHash	ccae60e949208cac
VISUAL wHash	4066fe3c0000ffff
VISUAL colorHash	39600010000
VISUAL cropResistant	8d8e968e9e962633,d9ab13536a2d391c,f070a8eccece49c8,b585cc4d73b1cdc9,2d2f1d3d3b91a463,ccae60e949208cac

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

70/100

🔬 Comprehensive Threat Analysis

Threat Type

Netflix Phishing Landing Page

Target

Netflix users

Attack Method

Phishing webpage

Exfiltration Channel

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

Risk Assessment

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

🏢 Brand Impersonation Analysis

Impersonated Brand

Netflix

Official Website

https://www.netflix.com

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Search Engine Manipulation

Fake Netflix site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.

Secondary Method: Standard Phishing Techniques

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