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Visual Capture

Screenshot of sleepy-architecture-741731.framer.app

Detection Info

https://sleepy-architecture-741731.framer.app/
Detected Brand
Universitas Negeri Yogyakarta
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
3c111555-bbb…
Analyzed
2026-07-17 02:09

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1E5127173E600CE2A4D9B56C8F1C095884519C386FB3108CBB26491FF7BC5DF4A9A97AD
CONTENT ssdeep
192:gdePuN9sT3TfVZUlxjMcnthWeNWbnfMmUU8VConS:0eWDOjfjjfMmUFCoS

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
d652a9ad250fad25
VISUAL aHash
20f47c34f4ffffff
VISUAL dHash
c589486c6c002000
VISUAL wHash
20e02000e0ffffff
VISUAL colorHash
07002000040
VISUAL cropResistant
c589486c6c002000,b63bc3c7e61c3cb4

Code Analysis

Risk Score 79/100
Threat Level ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Banking 🎣 Personal Info

🔒 Obfuscation Detected

  • atob
  • fromCharCode
  • base64_strings

📊 Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 4 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Universitas Negeri Yogyakarta users
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
  • 4 obfuscation techniques

🏢 Brand Impersonation Analysis

Impersonated Brand
Universitas Negeri Yogyakarta
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
sleepy-architecture-741731.framer.app
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
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