SafeMode - Analysis: mr-amazon.netlify.app

Visual Capture

Detection Info

http://mr-amazon.netlify.app/

Detected Brand

Amazon

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

4fff0e91-f9b…

Analyzed

2026-08-27 22:25

Final URL (after redirects)

https://mr-amazon.netlify.app/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1C2235A60F836CC7701FB54E862B21EA979B46B01D5920289E6D5D3E52BB3C9CCB3346D
CONTENT ssdeep	192:B9OA5OKCmrOkOAlOrQOeO7bOTONmZOQHGO2eOhOxUOQbgOlOcKOB+mUOovOc+mSt:Z+M0ysbXqDeiLbF3z4

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	921b1f534fcd404f
VISUAL aHash	0081ffff6644ffff
VISUAL dHash	6909d9228c9c6a98
VISUAL wHash	00007f5e6640ffef
VISUAL colorHash	06200038000
VISUAL cropResistant	6909d9228c8c6a94,96696169696169e0,274b652523331313,1ce146ce4f4dcf4e,33799cfcf89c6933,93c14d2503938e12

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📡 API Calls Detected

GET

📊 Risk Score Breakdown

Total Risk Score

40/100

🔬 Comprehensive Threat Analysis

Threat Type

Amazon Phishing Landing Page

Target

Amazon 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

Amazon

Official Website

https://www.amazon.com

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Brand Impersonation Redirect

Impersonates Amazon to build victim trust through search engine manipulation or malicious advertisements. Often redirects to credential theft pages or serves malware disguised as legitimate software.

Secondary Method: Standard Phishing Techniques

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