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Visual Capture

Screenshot of special-event-landing.vercel.app

Detection Info

https://special-event-landing.vercel.app/amazon.html
Detected Brand
Amazon
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
87cc2fd7-bf8โ€ฆ
Analyzed
2026-08-01 22:17

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T141837172A8501133016B26CBF97CEB6D65E3C25EFA4336C156F843591BD2E41AA3BD38
CONTENT ssdeep
1536:hll/HmTkvegamUT1YOkBMJPKdxVx35ZMQzX3N1JBwS:XtGTkvegaR2XdBwS

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
fe7a81075381c55b
VISUAL aHash
0081808080f7ffff
VISUAL dHash
c833333325253034
VISUAL wHash
0081888181ffffff
VISUAL colorHash
06000038000
VISUAL cropResistant
c0c0e2e2e2c2c0c0,2b31333325253034,c0c9e8c8c80a4a4a,9a9d2e27731b8763

Code Analysis

Risk Score 100/100
Threat Level ALTO
โš ๏ธ Phishing Confirmed
๐ŸŽฃ Credential Harvester ๐ŸŽฃ OTP Stealer ๐ŸŽฃ Card Stealer ๐ŸŽฃ Banking ๐ŸŽฃ Personal Info

๐Ÿ” Credential Harvesting Forms

๐Ÿ”’ Obfuscation Detected

  • atob
  • eval
  • fromCharCode
  • unescape
  • hex_escape
  • unicode_escape
  • base64_strings

๐ŸŽฏ Kit Endpoints

  • https://www.aboutamazon.com/?utm_source=gateway&utm_medium=footer
  • /ref=nav_logo
  • /?ref_=footer_logo
  • https://blog.aboutamazon.com/?utm_source=gateway&utm_medium=footer

๐Ÿ“ก API Calls Detected

  • POST
  • GET

๐Ÿ“ค Form Action Targets

  • /s/ref=nb_sb_noss
  • get

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
Credential Harvesting
Credential harvesting detected with 2 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 2599 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Amazon users
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
HTTP POST to backend
Risk Assessment
CRITICAL - Automated credential harvesting with HTTP POST to backend

โš ๏ธ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
  • 2599 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Amazon
Official Website
https://www.amazon.com
Fake Service
Banking/payment service

โš”๏ธ Attack Methodology

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: JavaScript Obfuscation

Malicious code is obfuscated using 2599 techniques to evade detection by security scanners and make reverse engineering more difficult.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
special-event-landing.vercel.app
Registered
Unknown
Registrar
Unknown
Status
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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