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Visual Capture

Screenshot of doc-ldgrlive.zapier.app

Detection Info

https://doc-ldgrlive.zapier.app/en-us
Detected Brand
Ledger
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
eb6578c4-5d6โ€ฆ
Analyzed
2026-04-03 11:24

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T10A5219B9732411A58A0343EEFA7762BAF113826EDA621B8CD379435972D5CFDC820DC5
CONTENT ssdeep
192:QoMoBZJ5I9j200sIbAp0q5R6xDhbfdDMu9cuGRmKbMpBXp7sfgg8gk:QvoW7fTT5RehZIsmMpBZ7eg/B

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
bf4ac025d56ad08f
VISUAL aHash
ff818181838381ff
VISUAL dHash
51694d4d06064f54
VISUAL wHash
ff818183838383ff
VISUAL colorHash
32402018000
VISUAL cropResistant
51694d4d06064f54,7a226222223272dc,0101013131110111,690c8c8ece8e8e4e

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
WebSocket C2

๐Ÿ”’ Obfuscation Detected

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

๐ŸŽฏ Kit Endpoints

  • /app/login?reauth=true

๐Ÿ“ก API Calls Detected

  • virtual
  • POST
  • GET
  • https://interfaces-report.zapier.app/report-form
  • first

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 1 form(s) capturing sensitive data
Real-time C2
WebSocket-based Command & Control infrastructure for real-time victim monitoring
Code Obfuscation
JavaScript code obfuscated using 487 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Ledger users
Attack Method
credential harvesting forms + real-time WebSocket exfiltration + obfuscated JavaScript
Exfiltration Channel
WebSocket (1 endpoints)
Risk Assessment
CRITICAL - Automated credential harvesting with WebSocket (1 endpoints)

โš ๏ธ Indicators of Compromise

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

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Ledger
Official Website
N/A
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 487 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
doc-ldgrlive.zapier.app
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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