SafeMode - Analysis: gyan987.github.io

Visual Capture

Detection Info

https://gyan987.github.io/Netflix/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

d11c4b65-45b…

Analyzed

2026-04-20 11:05

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T102A110A62241DD2E5677C3E1B332377A23A68289DA46130485FDD3680FE6D5DED3B8C4
CONTENT ssdeep	96:TcY81ReAt7kXoWKjRzk3o2f9me281JfbQorn5:YYwReykXoWKj5k3o2f9me28bfbQor5

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	c3cf34751d491ec4
VISUAL aHash	4a7c7c7c7c006004
VISUAL dHash	d4c5f1ebe88cc2cc
VISUAL wHash	7af1fe7cfe006004
VISUAL colorHash	30401008000
VISUAL cropResistant	d4c5f1ebe88cc2cc

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.