SafeMode - Analysis: vihaanrawat.github.io

Visual Capture

Detection Info

https://vihaanrawat.github.io/netflix-ui-clone/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

e663bc4f-b70…

Analyzed

2026-08-10 22:22

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T14C61DCFA2222E72741B7E3E177664B1A27E18388C986072426EDD75C4FE9F18ED02245
CONTENT ssdeep	48:TaYYcmc1n7glnpIcM4wj63awKIIMVv9pSPAITPCfKW/y:TDYo1n7WnpIcF9KJkv9pvQaiiy

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	9d9466398cd8bb25
VISUAL aHash	1c028f1e1f8b4030
VISUAL dHash	b82e1430b23a1665
VISUAL wHash	1e82cf1f5bcbc230
VISUAL colorHash	30400018000
VISUAL cropResistant	b82e1430b23a1665

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.