SafeMode - Analysis: jamesxxsu.github.io

Visual Capture

Detection Info

https://jamesxxsu.github.io/dearestanton.github.io/

Detected Brand

Netflix

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

b74b9552-482…

Analyzed

2026-08-19 22:11

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T161810E7425949E374293EAE276BE6B6B73E0C201CB47170206FDC39C0FE2D59CC26589
CONTENT ssdeep	48:TsCMw05+XnR6MUFMih8PwnURhs6EV1PKkwRSDCql1tioT5S2twzPvtWKRppzuX:TF9nIdwHs6EFwMGs1FT5SrP1WCMX

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	cc6c3393cc6c3393
VISUAL aHash	0000001818000000
VISUAL dHash	0000003030000000
VISUAL wHash	0000141c1c040000
VISUAL colorHash	38000000007
VISUAL cropResistant	0000003030000000

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.