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
|
T14B32AB70D43214BF025799E1B460AFCB79D3E34DC55F908466A843991FC7FF4A8A861A |
|
CONTENT
ssdeep
|
192:HnA4/yaH8UqaH8UoaH8UbaH8UcaH8UXaH8UdaH8UPMaH8UNG64e64b:HAs/94lYy97S64e64b |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c918e227b6269eb6 |
|
VISUAL
aHash
|
ff081808000062ff |
|
VISUAL
dHash
|
d0d2327096d2cc8c |
|
VISUAL
wHash
|
ff1818182e0a66ff |
|
VISUAL
colorHash
|
1ae00000000 |
|
VISUAL
cropResistant
|
0000000202000010,f0e831d0c6c6d2f0,d8c8e46531c1e274,cccccccc004445a2,d0d23271d0b6d2cc |
Code Analysis
🔒 Obfuscation Detected
- fromCharCode
- unescape
- base64_strings
🎯 Kit Endpoints
- #/login
📊 Risk Score Breakdown
Contributing Factors
🔬 Comprehensive Threat Analysis
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
- 922 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 922 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 api.erssegd.com
Found 3 other scans for this domain
