SafeMode - Analysis: netflix-lake.vercel.app

Visual Capture

Detection Info

https://netflix-lake.vercel.app/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

2d0e03d9-c6e…

Analyzed

2026-06-04 22:22

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T16051EABA4000B86B4047E1F73B739F663BD9824ACB220B1565FED39D2BD6C48DD27248
CONTENT ssdeep	48:nPPGMMZjwsP341hjs6F24u+WR9KCsYS2NW3+z:nPPxYsCb02E49KCsY7W3k

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	d096372d8d87f078
VISUAL aHash	0684c67cf8c00000
VISUAL dHash	0c1c94e0b0904880
VISUAL wHash	87dee6fcf8c0aa00
VISUAL colorHash	38000000007
VISUAL cropResistant	0c1c94e0b0904880

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.