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Visual Capture

Screenshot of clickearnusdt.shop

Detection Info

https://clickearnusdt.shop/
Detected Brand
Amazon
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
3dcacf84-896โ€ฆ
Analyzed
2026-08-11 11:22

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T18703413112442E3EA657CBA8F2F0B328916DD399D67BCA59F6ED017217C2D15C8372D8
CONTENT ssdeep
768:yP4HpIokn654A7tw37hCNtUAMQkHWakd9JgtwLWuTcDdQ5/p8MgjuSozKiWIxfau:kMPByu

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
8c9f3135246db393
VISUAL aHash
033c3c1818001818
VISUAL dHash
167169b0614832b1
VISUAL wHash
ffbe3c183c00187d
VISUAL colorHash
38000030000
VISUAL cropResistant
800014370b230080,167169b0614832b1

Code Analysis

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

๐Ÿ”’ Obfuscation Detected

  • fromCharCode

๐Ÿ“ก API Calls Detected

  • POST

โ˜๏ธ Cloud Backend

  • Supabase: etnsfpweptpzveiiytgv.supabase.co

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
Code Obfuscation
JavaScript code obfuscated using 8 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Amazon users
Attack Method
obfuscated JavaScript
Exfiltration Channel
Supabase Database
Risk Assessment
CRITICAL - Automated credential harvesting with Supabase Database

โš ๏ธ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
  • 8 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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.

Target Blockchain
Multiple blockchains
Whitelist Bypass
YES

Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
clickearnusdt.shop
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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