SafeMode - Analysis: shilpy68-code.github.io

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Visual Capture

Detection Info

http://shilpy68-code.github.io/amazon-clone

Detected Brand

Amazon

Country

Unknown

Confidence

100%

HTTP Status

200

Report ID

10dcd915-2df…

Analyzed

2026-05-06 10:09

Final URL (after redirects)

https://shilpy68-code.github.io/amazon-clone/

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1D991A870A082BA3701D6C3D5EF399B9F72D48695EA43970943F4D35C8ADEE6EDD21810
CONTENT ssdeep	96:TtNBJJobAxrHWVyUmV3beUJSoYbACzt+ejAF/mrHkKB:BZJo2HrKt+ecJmTkKB

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19394fd4c94e4e
VISUAL aHash	000b01ffb430ffff
VISUAL dHash	72dbdfbc64656525
VISUAL wHash	000301ff30b0ffff
VISUAL colorHash	07207000000
VISUAL cropResistant	82008262eae282c2,dbdf9be46565ab65,62db1adbdb7f9d9e,d9e6766663697926,4c9736666d595932,adccd9b3b7b7beb6,616c6c5e1e7e7e7c,1d06028602029a9a

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.