SafeMode - Analysis: vinaydevloper.github.io

Visual Capture

Detection Info

https://vinaydevloper.github.io/amazon-landing-clone/

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

9d0b6768-513…

Analyzed

2026-05-22 10:10

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1929153B05482BA3301D3C3D5EF38979F72E88295EA47970943F4D3988ADAE5EDE25910
CONTENT ssdeep	96:TtvCJJo0DDTtzT0VoU873jeUJ/YojbxC9fwfwfwf6yKB:BvmJoIhnOfwfwfwf6yKB

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19194edcd94e4e
VISUAL aHash	000301ffb430ffff
VISUAL dHash	72dbdd9464656565
VISUAL wHash	000301ff30b0ffff
VISUAL colorHash	07207000000
VISUAL cropResistant	8282e2eaeae28282,dbdf9be46565a565,62db1adbdbff9dde,d9e6766663697926,4c9737666d595932,adccd9b3b7b7beb6,616c6c5e1e7e7e7c,1d06028602029a9a

Code Analysis

Threat Level ALTO

⚠️ Phishing Confirmed

📊 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: Malicious Landing Page

Uses Amazon 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.