Phishing Analysis: Netflix

Visual Capture

Detection Info

http://kanxcode.github.io/Netflix-UI-Clone

Detected Brand

Netflix

Country

International

Confidence

98%

HTTP Status

200

Report ID

bbf6bae3-a8a…

Analyzed

2026-03-13 14:29

Final URL (after redirects)

https://kanxcode.github.io/Netflix-UI-Clone/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1B2519CB06A45E57349A7B2F1A32B1F467AC18306D6820B04F2FDD7AC1FE5C09FE66150
CONTENT ssdeep	48:TVUfi7mc1RLAo14+D4hoC63lhKC/d6v9H:TV6ih1RLAQ5LKKEv9H

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	dd2066d98c2da7a5
VISUAL aHash	e0c083987abca8f2
VISUAL dHash	02144e32b23a5066
VISUAL wHash	e0e083987ebae8f2
VISUAL colorHash	30600010000
VISUAL cropResistant	02144e32b23a5066

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.