SafeMode - Analysis: alabid234.github.io

Visual Capture

Detection Info

https://alabid234.github.io/Amazon-Project/tracking.html

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

9dc892f7-517…

Analyzed

2026-06-23 22:09

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1E74123719444A537616393E0E3F23F6BB7C18604DB6B4201EBFA436C8BE1D85DD23449
CONTENT ssdeep	48:eUTNmTNMGco2otqcfBaHICi9eBzGOJXS6Se2J8sy1BSN:uTrcrrsn

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	981a4e4f5b1b4e4e
VISUAL aHash	00dfdfcfffffffff
VISUAL dHash	7910319a18000000
VISUAL wHash	00cfdcc0f0f0f0f0
VISUAL colorHash	07200000c00
VISUAL cropResistant	7910319a18000000,96696169696169e0

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: 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.