SafeMode - Analysis: mdsuzain.github.io

EN ES PT

Back to Stats

Visual Capture

Detection Info

https://mdsuzain.github.io/NETFLEX-SUZAIN/

Detected Brand

Netflix

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

d38a9356-83d…

Analyzed

2026-02-04 23:57

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T19BB111A61241DD2E5667C2E2F332377A23A68289CA46130495FEC3681FE5D5DED3B8C4
CONTENT ssdeep	96:nXY41RebR7kJLoWKjRzkHo2f9me281JfbQoMLn5:XYURebhkloWKj5kHo2f9me28bfbQoML5

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	964db62469966dd2
VISUAL aHash	003c3c0800066e0e
VISUAL dHash	066870380984cccc
VISUAL wHash	023c3c1c3f067e6e
VISUAL colorHash	38600018000
VISUAL cropResistant	faeeac6cd9199819,066870380984cccc

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: SEO Poisoning Landing Page

Fake Netflix page designed to appear in search results and trick users into visiting. May redirect to credential harvesting pages, malware downloads, or serve as a trust-building step before requesting sensitive information.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.