SafeMode - Analysis: nikhil1-dev.github.io

Visual Capture

Detection Info

https://nikhil1-dev.github.io/netflix/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

eaeb02ef-68b…

Analyzed

2026-06-07 10:21

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T15AA110A61241DE2E1567C3E2B332377A23A78289DA46130484FED3681FD6D4DEC3B8C4
CONTENT ssdeep	96:TzYs1ReAbbkJLI3EdKjJv1TkH42139meWc1JfbQorn5:vYARellTdKj0HTh9meWcbfbQor5

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	d2e9366d922dca86
VISUAL aHash	22207c387c7c0666
VISUAL dHash	d4d06163e8d0cccc
VISUAL wHash	7a403c7c7c7e0666
VISUAL colorHash	31401010000
VISUAL cropResistant	e4f43230e4a1a1e0,d4d06163e8d0cccc

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.