SafeMode - Analysis: dexter-1280.github.io

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Visual Capture

Detection Info

https://dexter-1280.github.io/Amazon-clone

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

5af393db-db0…

Analyzed

2026-08-17 10:17

Final URL (after redirects)

https://dexter-1280.github.io/Amazon-clone/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1C9335960F836CC3701FB54E862B21E9A39B46741D592028DE6D6D3E52BB6C9CCF2346D
CONTENT ssdeep	192:mn6P56HC6U6n6Dl6QQ6z6gb6C6i6e6nHG6Be6C6gU69bg6I63K6q+6/6Xv6x+6jJ:em0xcHbDDCcC3AF3mc2

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	9a1b1f534fcd4443
VISUAL aHash	0081ffff6644ffff
VISUAL dHash	6909d9228c8c2bf0
VISUAL wHash	0000ffff4640ff3c
VISUAL colorHash	06200038000
VISUAL cropResistant	6909d1628c8c2bf0,96696169696169e0,274b652523331313,1ce146ce4f4dcf4e,33799cfcf89c6933,93c14d2503938e12

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

Token swap/DEX platform

⚔️ Attack Methodology

Primary Method: SEO Poisoning Landing Page

Fake Amazon 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.