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Visual Capture

Screenshot of quantiaai.live

Detection Info

https://quantiaai.live/
Detected Brand
Quantia AI
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
744793cd-5b3…
Analyzed
2026-07-19 11:25

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T17673647612C26A3F1093C6D1931CE769E382D60AC7E7898AD7E8432B27C6DE4DD36174
CONTENT ssdeep
1536:2p4IAzwDco80c4mL2tByR0rVGczjcq0zxVuz8P+:kE6AyjoZ+

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
c2506cbe96d496bc
VISUAL aHash
00003c7e7efff1ff
VISUAL dHash
8ccbccd0cccc23cc
VISUAL wHash
00003c7e7eff91e3
VISUAL colorHash
06010000e00
VISUAL cropResistant
c8c8d4cccc234c0c,848fc9cbc0c8dcd4,4561417971690141,00454d7171414541

Code Analysis

Risk Score 86/100
Threat Level ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Banking

πŸ” Credential Harvesting Forms

πŸ”’ Obfuscation Detected

  • fromCharCode
  • unescape

🎯 Kit Endpoints

  • /send

πŸ“‘ API Calls Detected

  • POST

πŸ“€ Form Action Targets

  • /send

πŸ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking
Credential Harvesting
Credential harvesting detected with 5 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 6 technique(s) to evade detection

πŸ”¬ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Quantia AI 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, OTP Stealer, Banking
  • 6 obfuscation techniques

🏒 Brand Impersonation Analysis

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

βš”οΈ 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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
quantiaai.live
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

πŸ€– AI-Extracted Threat Intelligence

😰
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