SafeMode - Analysis: shubhamtiwari54.github.io

Visual Capture

Detection Info

https://shubhamtiwari54.github.io/netflix_simple/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

49866af6-467…

Analyzed

2026-06-20 22:19

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1AA91FEA5218ABA37026392C2BB66CB5273E18108DB67172104FDD3BE67E5C1AFC1750D
CONTENT ssdeep	96:TGvtWlsiqOpNKma9VTUWc0wmFvkwAGM9Y:2tWlsipKN9VwW60cpG0Y

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	db4e26f0cc452537
VISUAL aHash	b0ac2e78d8e8a627
VISUAL dHash	64694af292194ccc
VISUAL wHash	b0ac8eb8d8e8ae27
VISUAL colorHash	39600008000
VISUAL cropResistant	64694af292194ccc

Code Analysis

Risk Score 50/100

Threat Level ALTO

⚠️ Phishing Confirmed

🎣 Personal Info

📊 Risk Score Breakdown

Total Risk Score

70/100

Contributing Factors

Active Phishing Kit

Detected kit types: Personal Info

🔬 Comprehensive Threat Analysis

Threat Type

Phishing Kit (Personal Info)

Target

Netflix users

Attack Method

Phishing webpage

Exfiltration Channel

Form submission (backend endpoint not detected - likely JavaScript-based)

Risk Assessment

MEDIUM - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

Kit types: Personal Info

🏢 Brand Impersonation Analysis

Impersonated Brand

Netflix

Official Website

https://www.netflix.com

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Malicious Landing Page

Uses Netflix branding to appear legitimate in search results, social media, or advertising networks. Designed to redirect victims to phishing pages or distribute malware while maintaining appearance of authenticity.

Secondary Method: Standard Phishing Techniques

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