SafeMode - Analysis: alabid234.github.io

Visual Capture

Detection Info

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

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

db66ac99-7e0…

Analyzed

2026-06-22 10:13

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T184918BB19455E93B12A3A3E4D7726F5A73C4D308C9AA2702A6F553B84FE2CC2DD1740A
CONTENT ssdeep	48:eUTNmTNMGco2otqcfBaHICi9eBzDXlOXS8Ni+iEBaK+D+iEBqSbVJU/W+iEBC:uTncX4cd3ALh

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	b80b4f4e4e1a4f4b
VISUAL aHash	00ffcfcfffcfcfff
VISUAL dHash	7914189a16969000
VISUAL wHash	00c3c3c3c3c3c3ff
VISUAL colorHash	07401018000
VISUAL cropResistant	7114199a16969000,96696169696169e0

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: 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.