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
|
T16511E5171001490E47236EE879D18648209BC30CCE571E1467F78A9D2FF6D56DF5A694 |
|
CONTENT
ssdeep
|
24:hRxr/tYCVgfsRE0wXWNYuILqRk2Ns0puz7Mhja:Txr/tuDduIR2oHgja |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843da4d6c35acdd1 |
|
VISUAL
aHash
|
57031a006e324677 |
|
VISUAL
dHash
|
8e26b6a8d8e68cd5 |
|
VISUAL
wHash
|
5f031a606e326777 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
8e26b6a8d8e68cd5 |
Code Analysis
🔒 Obfuscation Detected
- atob
- fromCharCode
☁️ Cloud Backend
- Firebase: netflix-clone-41fd2.firebaseapp.com
📊 Risk Score Breakdown
Contributing Factors
🔬 Comprehensive Threat Analysis
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
- 20 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 20 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 netflixclone-gilt-two.vercel.app
Found 2 other scans for this domain
