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
|
T1835231F16744019907E7FBD49EC27D0650B2E2EAE19E8EDC6AAD852C1DC2EF2D4C41E0 |
|
CONTENT
ssdeep
|
384:6Dn2PJxFUjC7ZhGQNJbRoeebNoeebnl7BkN5slk/QOfSNQdrVZ5RkIctPG7c:6aPJxFUjC7ZhGQNJVoeeJoeejl7BkN5W |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2c3b93c686d393 |
|
VISUAL
aHash
|
c38181f3ffffffff |
|
VISUAL
dHash
|
33333b1704882b2b |
|
VISUAL
wHash
|
018181c3ffff83e1 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
33333b1704882b2b,32b2b2716971b7a1 |
Code Analysis
🔒 Obfuscation Detected
- fromCharCode
- unescape
- base64_strings
🎯 Kit Endpoints
- resend
📊 Risk Score Breakdown
Contributing Factors
🔬 Comprehensive Threat Analysis
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
- 5 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 5 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 did.li
Found 10 other scans for this domain
