SafeMode - Analysis: saniyamaner786.github.io

Visual Capture

Detection Info

https://saniyamaner786.github.io/CSS_AMAZON_CLONE/

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

519fa1a1-758…

Analyzed

2026-04-27 22:09

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1B191AB70A082BA3701D7C2D2EF395B9FB2D48291EA435B0907F4D3988ADAE5FDD25910
CONTENT ssdeep	96:TtNQJJo1jDNB00VwU873veQJ/YojbFCzN+ejAF/9r1kKB:BWJoWz5IN+ecJ9RkKB

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19794ed4c94e4e
VISUAL aHash	000b01ffb430ffff
VISUAL dHash	72dbdd9c646565a5
VISUAL wHash	0003017fb430ffff
VISUAL colorHash	07007000000
VISUAL cropResistant	8282e2eaeae28282,dbdf99a4646565a5,62d81adbdf7d9dde,d9e6766663697926,4c9736666d595932,edccdbb3b7b7beb6,616c6c5e1e7e7e7c,0d06028206129a9a

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.