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Phishing Analysis

Detailed analysis of captured phishing page

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Visual Capture

Screenshot of quantiaai.digital

Detection Info

https://quantiaai.digital/
Detected Brand
Quantiaai
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
b70f3196-82c…
Analyzed
2026-07-21 00:01

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1B4A37833415935274437C6D030A55B3BE2A6DA5FFAE70A010EECD7EA1BFACA0745B11A
CONTENT ssdeep
1536:KxyLz4NP/y9svbliCdgj8XFtiuCa28y2O9:scmA+M

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
d3439d32bc2c966c
VISUAL aHash
00202000000400ff
VISUAL dHash
9cc8c0c8ccccc3bc
VISUAL wHash
06786060444effff
VISUAL colorHash
31038000000
VISUAL cropResistant
000080015c5880a0,9cc8c0c8c8ccccc3

Code Analysis

Risk Score 89/100
Threat Level ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 Banking 🎣 Personal Info

🔐 Credential Harvesting Forms

🔒 Obfuscation Detected

  • fromCharCode
  • unicode_escape
  • base64_strings

🎯 Kit Endpoints

  • login

📡 API Calls Detected

  • get
  • /api/lead

📤 Form Action Targets

  • /api/lead

📊 Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, Banking, Personal Info
Credential Harvesting
Credential harvesting detected with 3 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 54 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Quantiaai users
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
HTTP POST to backend
Risk Assessment
CRITICAL - Automated credential harvesting with HTTP POST to backend

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, Banking, Personal Info
  • 54 obfuscation techniques

🏢 Brand Impersonation Analysis

Impersonated Brand
Quantiaai
Official Website
N/A
Fake Service
Banking/payment service

⚔️ 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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
quantiaai.digital
Registered
Unknown
Registrar
None
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
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