Phishing Analysis: Netflix

Visual Capture

Detection Info

http://yashisahay.github.io/Project1

Detected Brand

Netflix

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

c4e8efad-4a7…

Analyzed

2026-04-07 23:03

Final URL (after redirects)

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

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

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

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	cc33c439e43bcc27
VISUAL aHash	00003c080018f8fe
VISUAL dHash	86ccd03814b23260
VISUAL wHash	00007e1800ffffff
VISUAL colorHash	30201018040
VISUAL cropResistant	6c696228a3a7a1b9,a3e6ea16132b2da5,1aaedadb2464ecec,86ccd03814b23260

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.