SafeMode - Analysis: shekashish.github.io

Visual Capture

Detection Info

http://shekashish.github.io/netflix_clone

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

c2892b1f-598…

Analyzed

2026-08-08 10:14

Final URL (after redirects)

https://shekashish.github.io/netflix_clone/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T13F41DD307A88A04F035372D0B7976B7CBE5680998B318B04B2FE438F6B5495FCC5715A
CONTENT ssdeep	24:hR/CwTN/+TN/0AGZhFaR0jtzqptBsag27XFut+UDC:TTTNmTNMZ/aR0jYxfOm

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	f47a2f95f2689c01
VISUAL aHash	800000c4fffe1000
VISUAL dHash	060da6ac8c34d494
VISUAL wHash	8080c0d6fffe7e0c
VISUAL colorHash	30400018000
VISUAL cropResistant	060da6ac8c34d494

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 Risk Score Breakdown

Total Risk Score

40/100

🔬 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.