SafeMode - Analysis: swami-ram.github.io

Visual Capture

Detection Info

http://swami-ram.github.io/amazon/

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

4670f04d-ade…

Analyzed

2026-06-25 22:09

Final URL (after redirects)

https://swami-ram.github.io/amazon/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1A37178709042BA3301D7C7D5DB35979F73D88AA9EA83970923F4C3588ACAE5FDE21910
CONTENT ssdeep	96:T59Js7y5Kc8VsUZ36e6J6o8b8CO/r/r/6:d9JsOL/r/r/6

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19794ed01d4f4e
VISUAL aHash	000f017ff630f7ff
VISUAL dHash	72dbdd9d646565a5
VISUAL wHash	000b017ff4b0b3ff
VISUAL colorHash	0f207000000
VISUAL cropResistant	828262eaeae28282,dbdfd9b4646565a5,62db5adbdf7dd9da,d9e6766663697926,4c9736666d595932,acccd9f3b3b7bfbf,616d7c5e3e7e7c7c,1e07030303030f0f

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.