Phishing Analysis: Netflix

Visual Capture

Detection Info

https://ibrar734.github.io/NETFLIX-CLONE/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

f4596037-72b…

Analyzed

2026-03-27 23:31

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T173B132A61241DD2E5567C3E2B332373A23A78289CA46130494FEC3681FD5D5DEC3B8C4
CONTENT ssdeep	96:TaYIr1ReAt7kJLoWKjRzkHo2f9me281JfbQo0n5:+YIBReykloWKj5kHo2f9me28bfbQo05

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	d2c9363469966dd2
VISUAL aHash	087c3c787c026604
VISUAL dHash	d4c161ebe884cccc
VISUAL wHash	6af0bc7cfe046606
VISUAL colorHash	31401008000
VISUAL cropResistant	e4f43230e4a1a1e0,d4c161ebe884cccc

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.