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
|
T15B81AE21204176B7C617B94ABAA25F0921739288DEEBC1D827F84F4557F3EBC8C1E985 |
|
CONTENT
ssdeep
|
96:JjSzOJxpAt4cUvwvOPJyjLJXosnuNYZNiJvF8G:JjSzAxat4cU4WxULJXosn5k |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce3331cc3398cc67 |
|
VISUAL
aHash
|
0000303c30381000 |
|
VISUAL
dHash
|
006064606060a000 |
|
VISUAL
wHash
|
003c3c3c3c3c3c00 |
|
VISUAL
colorHash
|
38403000000 |
|
VISUAL
cropResistant
|
a3233831316b787a,123ca428e23eb666,006064606060a000 |
Code Analysis
🔒 Obfuscation Detected
- atob
- fromCharCode
- base64_strings
☁️ Cloud Backend
- Firebase: insta-clone-afdbc.firebaseapp.com
📊 Risk Score Breakdown
Contributing Factors
🔬 Comprehensive Threat Analysis
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
- 13 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 13 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.testing-social-app.vercel.app
Found 1 other scan for this domain
