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Phishing Analysis

Detailed analysis of captured phishing page

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Visual Capture

Screenshot of ledger-cards.github.io

Detection Info

https://ledger-cards.github.io/MyRidima/
Detected Brand
Ledger
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
79a96b80-ba5…
Analyzed
2026-07-12 22:14

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T16082A570A0481A37925381DAA2AB675B31EBC34ECE171300A7FC536D0BDECD6FD2A185
CONTENT ssdeep
384:QCmn8lyl4s0q4Tj8HhqjWKI117VwSK8o/rlLil6tPQcjZ/L:yn8Al4s0q4/8HsjWX17VFKz/rhiEtIc1

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
a969968669393dcc
VISUAL aHash
93ff898999dfdfff
VISUAL dHash
26cc12332334302e
VISUAL wHash
00e6898999ff9f83
VISUAL colorHash
07000400c00
VISUAL cropResistant
26cc12332334302e

Code Analysis

Risk Score 73/100
Threat Level ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 Card Stealer 🎣 Banking 🎣 Personal Info

🔒 Obfuscation Detected

  • base64_strings

📊 Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, Card Stealer, Banking, Personal Info
Code Obfuscation
JavaScript code obfuscated using 2 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Ledger users
Attack Method
obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

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

🏢 Brand Impersonation Analysis

Impersonated Brand
Ledger
Official Website
N/A
Fake Service
Banking/payment service

⚔️ 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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
ledger-cards.github.io
Registered
Unknown
Registrar
Unknown
Status
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
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