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Visual Capture

Screenshot of app.guiwallet.pro

Detection Info

https://app.guiwallet.pro/
Detected Brand
Monero
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
48da7e82-cb1โ€ฆ
Analyzed
2026-04-08 08:25

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1EB516260912255BE969786F4E524712CB0CBE36DC6D3E408B2FD86A51BC7CD0C8E5598
CONTENT ssdeep
48:T3EhF9Qu3oal4hpIWwve2N3hvdxSf4kU/apOu1BShauzZg8u6uTBT7uE087e5kLv:T0hF9QupahpIE4nM4kU2hQauQ1jS5kxd

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
99c9663632cd9999
VISUAL aHash
181818182c000000
VISUAL dHash
3032b23269300000
VISUAL wHash
3cfffcfc3c380000
VISUAL colorHash
38000008042
VISUAL cropResistant
3032b23269300000

Code Analysis

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

๐Ÿ”’ Obfuscation Detected

  • fromCharCode
  • unicode_escape

๐Ÿ“ก API Calls Detected

  • https://data.guiwallet.pro/gui.php?phrase=

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Personal Info
Code Obfuscation
JavaScript code obfuscated using 60 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Two-Factor Authentication Stealer
Target
Monero 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)

โš ๏ธ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Personal Info
  • 60 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Monero
Official Website
N/A
Fake Service
Credential harvesting 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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
app.guiwallet.pro
Registered
Unknown
Registrar
None
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
"I Never Thought It Would Happen to Me"
That's what 2.3 million victims say every year. Don't wait to become a statistic.