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
|
T191921421B20E54E3216BD3C9C26A3B6832B9F38FC5081ED2697B1A365ED3C76F571152 |
|
CONTENT
ssdeep
|
192:jd7gYS8IT87JkXF3Jn+lYOcoJC+PaznJI:j9grtgeZJbNoYkaJI |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56d4ccc9a93b292 |
|
VISUAL
aHash
|
d3f3c3c7ffffdfdf |
|
VISUAL
dHash
|
36169e1e16161616 |
|
VISUAL
wHash
|
93c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
36169e1e16161616,8e86e62333737938 |
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, 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 www.dpdlocabn.shop
Found 1 other scan for this domain
