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Visual Capture

Screenshot of webprotalapp.ghost.io

Detection Info

https://webprotalapp.ghost.io/ledgelive-begin/
Detected Brand
Ledger
Country
International
Confidence
100%
HTTP Status
200
Report ID
e434c328-4ecโ€ฆ
Analyzed
2026-01-26 05:43

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T159A2B337A7406B3D4B62039DBA67278EB367518DE6CE09D0E2FDC23E1291D91C536C92
CONTENT ssdeep
384:6SiYnE93lKOAiEGbGb2T/35UKgx6mf6JYs2KWlhSD9jAmfCG:6SiYEhv/viKgqKwA8t

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
b0da42cacacece9a
VISUAL aHash
fdc7c7c7c7c3c7c7
VISUAL dHash
491c1e0e1e0e0e0e
VISUAL wHash
a1c7c3c3c3c3c3c3
VISUAL colorHash
07000000007
VISUAL cropResistant
491c1e0e1e0e0e0e

Code Analysis

Risk Score 76/100
Threat Level ALTO
โš ๏ธ Phishing Confirmed
๐ŸŽฃ Credential Harvester ๐ŸŽฃ OTP Stealer ๐ŸŽฃ Card Stealer ๐ŸŽฃ Banking ๐ŸŽฃ Personal Info

๐Ÿ”ฌ Threat Analysis Report

โ€ข Threat: Phishing page impersonating Ledger
โ€ข Target: Ledger cryptocurrency wallet users
โ€ข Method: Fake Ledger Live download page
โ€ข Exfil: Potential data collection via subscription form
โ€ข Indicators: Domain mismatch, free hosting, obfuscated JavaScript
โ€ข Risk: HIGH - Potential for malware distribution or credential theft

๐Ÿ”’ Obfuscation Detected

  • fromCharCode
  • base64_strings

๐Ÿ“ก API Calls Detected

  • POST
  • https://ghost.org

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected multiple phishing kit types: Credential Harvester, OTP Stealer, Card Stealer, and Banking kits.
High Obfuscation
20 obfuscation techniques detected, indicating deliberate evasion of detection.
Brand Impersonation
Targeting Ledger, a high-value cryptocurrency hardware wallet brand, increasing likelihood of successful compromise.
Malicious JavaScript Files
Presence of suspicious JavaScript files (cards.min.js, member-attribution.min.js, ghost-stats.min.js) with potential malicious functionality.

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Ledger users (International)
Attack Method
Brand impersonation + credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
Unknown
Risk Assessment
HIGH - Automated credential harvesting with Unknown

โš ๏ธ Indicators of Compromise

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

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Ledger
Official Website
https://www.ledger.com
Fake Service
Ledger wallet verification or account recovery

โš”๏ธ Attack Methodology

Primary Method: Crypto Wallet Credential Harvesting

The phishing kit impersonates Ledger's official portal to trick users into entering their wallet recovery phrases or private keys. The Credential Harvester component captures input in real-time and transmits it to an attacker-controlled server.

Secondary Method: OTP and Card Data Theft

The OTP Stealer and Card Stealer components are designed to intercept one-time passwords and credit card details, likely targeting users who may link payment methods to their crypto wallets for purchases or withdrawals.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
webprotalapp.ghost.io
Registered
2011-10-01 23:06:09+00:00
Registrar
1API GmbH
Status
Active (5230 days old)

๐Ÿฆ  Malicious Files

Main File
File Size

Contains obfuscated code with potential credential harvesting or data exfiltration functionality.

๐Ÿ“Š Attack Flow Diagram

Here's a generic ASCII art attack flow diagram for the phishing attack:

```
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 1. INITIAL ACCESS                                        โ”‚
โ”‚    - Victim directed to fake crypto wallet site          โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 2. FAKE AUTHENTICATION                                   โ”‚
โ”‚    - Spoofed login interface presented                   โ”‚
โ”‚    - User prompted for wallet credentials                โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 3. CREDENTIAL CAPTURE                                    โ”‚
โ”‚    - User input collected via web form                   โ”‚
โ”‚    - Data temporarily stored client-side                 โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 4. DATA TRANSMISSION                                     โ”‚
โ”‚    - Stolen credentials sent via HTTP POST               โ”‚
โ”‚    - Standard form submission to attacker server         โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
```

๐Ÿ”ฌ JavaScript Deep Analysis

Operator Language
English (1%)
Total Code Size
100.0ย KB

๐Ÿ”— API Endpoints Detected

Other
4

๐Ÿ” Obfuscation Detected

  • : None
  • : None
  • : Light
  • : Light

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ“Š Attack Flow

Here's a generic ASCII art attack flow diagram for the phishing attack:

```
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 1. INITIAL ACCESS                                        โ”‚
โ”‚    - Victim directed to fake crypto wallet site          โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 2. FAKE AUTHENTICATION                                   โ”‚
โ”‚    - Spoofed login interface presented                   โ”‚
โ”‚    - User prompted for wallet credentials                โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 3. CREDENTIAL CAPTURE                                    โ”‚
โ”‚    - User input collected via web form                   โ”‚
โ”‚    - Data temporarily stored client-side                 โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                     โ”‚
                     โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ 4. DATA TRANSMISSION                                     โ”‚
โ”‚    - Stolen credentials sent via HTTP POST               โ”‚
โ”‚    - Standard form submission to attacker server         โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
```

๐ŸŽฏ Malicious Files Identified

๐Ÿ˜ฐ
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