SafeMode - Analysis: anuja2793.github.io

Visual Capture

Detection Info

https://anuja2793.github.io/Netflix-landing-pages/

Detected Brand

Netflix

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

4cc216aa-961…

Analyzed

2026-07-29 22:15

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1DAB15F3B3101653A008342F2FB288B5BFB838419DF9B1B6624F9D34D6FE6D09CD56288
CONTENT ssdeep	96:TV+IT9FUFmMtaH5X1YDFBhEPht3wj2C+Ff2zzKO:Z+IT9F0UH54FBq8j2CgUF

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	84ac63723cad3337
VISUAL aHash	00767f5b96441020
VISUAL dHash	0fa4b6b2a48c68cc
VISUAL wHash	007e7fdf0674146c
VISUAL colorHash	39401000000
VISUAL cropResistant	0000c03232900000,0fa4b6b2a48c68cc

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: 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.