Phishing Analysis
Detailed analysis of captured phishing page
Visual Capture
Detection Info
https://www.whatsann.com/
Detected Brand
WhatsApp
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
75080ad8-47cā¦
Analyzed
2026-08-22 10:20
Content Hashes (HTML Similarity)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D4AF10B903A5A3C3B7D5F0E453BE237353624A550BA6912DE496642FE7BF4BB080F6 |
|
CONTENT
ssdeep
|
6144:Dh22yCiYWGMFQKMRwLLyztEX5sxhpnLh0PSV/T8hWfaIjTbTLbTxxG/5PT4hXQfJ:D/U |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3666639ccc6334c |
|
VISUAL
aHash
|
67e7a5ffdbcfe7ff |
|
VISUAL
dHash
|
cc49496916180810 |
|
VISUAL
wHash
|
0727273fd0cce0f0 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc49496916180810 |
Code Analysis
Risk Score
89/100
Threat Level
ALTO
ā ļø Phishing Confirmed
š£ OTP Stealer
š£ Banking
WebSocket C2
š Obfuscation Detected
- fromCharCode
- unescape
- js_packer
š Risk Score Breakdown
Total Risk Score
100/100
Contributing Factors
Active Phishing Kit
Detected kit types: OTP Stealer, Banking
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 49105 technique(s) to evade detection
š¬ Comprehensive Threat Analysis
Threat Type
Banking Credential Harvester
Target
WhatsApp 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)
ā ļø Indicators of Compromise
- Kit types: OTP Stealer, Banking
- 49105 obfuscation techniques
š¢ Brand Impersonation Analysis
Impersonated Brand
WhatsApp
Official Website
https://www.whatsapp.com
Fake Service
Banking/payment service
āļø Attack Methodology
Primary Method: Two-Factor Authentication Bypass
Victim is prompted for 2FA code after entering credentials. The code is intercepted and used by attacker to access victim's account in real-time.
Secondary Method: JavaScript Obfuscation
Malicious code is obfuscated using 49105 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.
š Infrastructure Indicators of Compromise
Domain Information
Domain
www.whatsann.com
Registered
2026-01-24 06:58:14+00:00
Registrar
Gname.com Pte. Ltd.
Status
Active (210 days old)
Hosting Information
Provider
Gname.com Pte. Ltd.
ASN
š¤ AI-Extracted Threat Intelligence
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