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
|
T17F42947160D01A3F177742EEBA64B35910879A0FCB23A9C9F3A852D71BD2C52CE7126C |
|
CONTENT
ssdeep
|
192:Iffepw67p1XO9lbFjl4RXRzO6T5Mi2eYIYc0ZV0ZUeYIYs:Bp1XO9lbFjyRBzOI5MnVlQ4Vs |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46d91c494d1 |
|
VISUAL
aHash
|
ff818d8d8981ffff |
|
VISUAL
dHash
|
961919191b0380d4 |
|
VISUAL
wHash
|
7f010c0c88807eff |
|
VISUAL
colorHash
|
38000407000 |
|
VISUAL
cropResistant
|
961919191b0380d4 |
Code Analysis
🔒 Obfuscation Detected
- unescape
📡 API Calls Detected
- POST
- /risk_checker/browserID?browserID=ss
📊 Risk Score Breakdown
Contributing Factors
🔬 Comprehensive Threat Analysis
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, Banking, Personal Info
- 2 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 2 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 claim.avantisf.icu
Found 2 other scans for this domain
