Phishing Analysis
Detailed analysis of captured phishing page
Visual Capture
Detection Info
Content Hashes (HTML Similarity)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1773161739001AC27520388D4A6C0FB5E75C7422EDF468C45EAF843EEC2E8EE4E1D4698 |
|
CONTENT
ssdeep
|
48:TuoupRNmTNMeOcCe24LuFdtQ9h+W0KmmPYz:Tuou5bzzdmH70iYz |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3c9cc6699892627 |
|
VISUAL
aHash
|
fefcfcf8e0e0d880 |
|
VISUAL
dHash
|
000028320c4c3000 |
|
VISUAL
wHash
|
fefcf8f8e0e0c080 |
|
VISUAL
colorHash
|
07001000e00 |
|
VISUAL
cropResistant
|
000028320c4c3000 |
Code Analysis
🔒 Obfuscation Detected
- atob
- fromCharCode
- unescape
- hex_escape
- unicode_escape
- base64_strings
📡 API Calls Detected
- GET
☁️ Cloud Backend
- Supabase: xiweworuayxflxyofhnt.supabase.co
📊 Risk Score Breakdown
Contributing Factors
🔬 Comprehensive Threat Analysis
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
- 5647 obfuscation techniques
🏢 Brand Impersonation Analysis
⚔️ 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 5647 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
🌐 Infrastructure Indicators of Compromise
Domain Information
Hosting Information
🤖 AI-Extracted Threat Intelligence
Similar Websites
Pages with identical visual appearance (based on perceptual hash)
Scan History for green-dot-web.netlify.app
Found 1 other scan for this domain
