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Phishing Analysis

Detailed analysis of captured phishing page

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Visual Capture

Screenshot of ldgkooejkd.azulab24.workers.dev

Detection Info

https://ldgkooejkd.azulab24.workers.dev/
Detected Brand
Ledger
Country
Unknown
Confidence
95%
HTTP Status
200
Report ID
ad13de7d-89dā€¦
Analyzed
2026-06-04 22:10

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T19E3155319108D967024243D27FB27A4A62C38107FF720D4056F6C3AD5EF4A96CC7A48A
CONTENT ssdeep
24:kWtUVpTN/+TN/0AptZlDenvFZfsNNBzS9pBHwqQMfVFsl7awo3he0lm4:PUVpTNmTNMK3denvj2BzUBHoMfvs1Ra

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
aa57f1aa52a353a8
VISUAL aHash
a4920e343101c3c1
VISUAL dHash
4c367c6961638b17
VISUAL wHash
bf9e2e3c350323c1
VISUAL colorHash
38000c00000
VISUAL cropResistant
fbf7ee9932e8d0a0,8aa29ccdcca280aa,4c367c6961638b17

Code Analysis

Risk Score 53/100
Threat Level ALTO
āš ļø Phishing Confirmed
šŸŽ£ Credential Harvester

šŸ”’ Obfuscation Detected

  • fromCharCode

šŸ“Š Risk Score Breakdown

Total Risk Score
70/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester
Code Obfuscation
JavaScript code obfuscated using 2 technique(s) to evade detection

šŸ”¬ Comprehensive Threat Analysis

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

āš ļø Indicators of Compromise

  • Kit types: Credential Harvester
  • 2 obfuscation techniques

šŸ¢ Brand Impersonation Analysis

Impersonated Brand
Ledger
Official Website
N/A
Fake Service
Credential harvesting service

āš”ļø 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.

šŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
ldgkooejkd.azulab24.workers.dev
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

šŸ¤– AI-Extracted Threat Intelligence

šŸ˜°
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