Phishing Analysis: Netflix

Visual Capture

Detection Info

https://kanxcode.github.io/stream-ui-demo/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

c7ac1c68-f7f…

Analyzed

2026-04-06 20:38

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T19A61BDB46541E67315A3A1F2B33A5B063AC1C306E6860704A6FDD7EC0FE5C09FD67281
CONTENT ssdeep	48:TVUfi7mc1RLAo14+D4hoC63lhKC/d6v9gSp/CHnMj/WNq:TV6ih1RLAQ5LKKEv9ggCHnMj/WNq

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: Malicious Landing Page

Uses Netflix branding to appear legitimate in search results, social media, or advertising networks. Designed to redirect victims to phishing pages or distribute malware while maintaining appearance of authenticity.

Secondary Method: Standard Phishing Techniques

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