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This is a fully featured all-in-one Red Team agent prototype (credential stealer, document stealer, multimedia recorder, evasion, persistence, encrypted C2)

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📋 Deskripsi Proyek Ini adalah alat simulasi red team keuangan yang dikembangkan eksklusif untuk tujuan edukasi dan penelitian keamanan siber. Proyek ini mendemonstrasikan teknik malware modern yang digunakan oleh aktor ancaman canggih, khususnya yang menargetkan data finansial.

🚫 DILARANG KERAS UNTUK KEGIATAN ILEGAL

🎯 Tujuan Edukasi Untuk Security Researcher Memahami teknik exfiltration data finansial

Mempelajari persistence mechanism modern

Analisis evasion technique terhadap EDR/AV

Pengembangan deteksi behavioral analysis

Untuk Financial Institution Identifikasi kerentanan dalam proteksi data finansial

Pengembangan strategi defense-in-depth

Pelatihan incident response team

Testing security controls

Untuk Law Enforcement Memahami TTPs (Tactics, Techniques, Procedures) malware finansial

Pengembangan forensic investigation methodology

Digital evidence collection training

🔧 Fitur Teknis (Untuk Analisis)

  1. Anti-Forensics & Evasion python

Deteksi lingkungan analisis

  • Sandbox/Virtual Machine detection
  • Debugger detection (IsDebuggerPresent, CheckRemoteDebuggerPresent)
  • Security tool process enumeration
  • Timing attack detection
  • Mouse movement monitoring
  1. Persistence Mechanisms python

Teknik bertahan di sistem

  • Registry Run Keys (HKCU\Software\Microsoft\Windows\CurrentVersion\Run)
  • Scheduled Tasks dengan multiple triggers
  • WMI Event Subscriptions
  • UAC Bypass techniques
  1. Data Collection Finansial python

Target data sensitif

  • Dokumen finansial (.xlsx, .pdf, .qbo, .ofx)
  • Crypto wallets (Bitcoin, Ethereum, Exodus)
  • Browser credentials & cookies
  • WiFi passwords & network information
  • Email clients (Outlook, Thunderbird)
  • Database connection strings
  1. Exfiltration Methods python

Teknik pengiriman data

  • HTTPS dengan encryption end-to-end
  • DNS tunneling untuk bypass network controls
  • ICMP tunneling (ping dengan payload)
  • Multiple fallback mechanisms 🛡️ Panduan Penggunaan Aman ✅ Lingkungan yang Diperbolehkan Laboratorium Terisolasi - VM tanpa koneksi internet

Network Segmentation - VLAN terpisah tanpa akses ke production

Legal Approval - Izin tertulis dari organisasi

Monitoring Tools - IDS/IPS dan logging aktif

Tim yang Berdedikasi - Hanya personel terlatih

❌ Lingkungan yang Dilarang Production Environment - Sistem live perusahaan

Internet Connected - VM dengan akses internet publik

Without Approval - Tanpa persetujuan legal

Personal Devices - Komputer pribadi

Shared Networks - Jaringan bersama dengan sistem lain

🏛️ Compliance & Legal Persyaratan Hukum yaml Legal Requirements:

  • Written authorization from organization
  • Scope definition document
  • Incident response plan
  • Data handling procedures
  • Liability waivers signed

Compliance Standards:

  • PCI DSS (Payment Card Industry)
  • SOX (Sarbanes-Oxley)
  • GDPR (General Data Protection Regulation)
  • Local cybercrime laws Dokumentasi yang Diperlukan ✅ Authorization Letter

✅ Testing Scope Document

✅ Risk Assessment

✅ Emergency Contact List

✅ Data Destruction Certificate

🔬 Setup Environment Aman

  1. Virtual Lab Configuration bash

Recommended VM Settings

  • VMware Workstation Pro/VMware ESXi
  • Network: Host-Only or NAT (NO BRIDGED)
  • Snapshots: Pre-execution backup
  • Isolation: Disable shared folders
  • Resources: 4GB RAM, 2 CPU cores minimum
  1. Safety Measures python

Safety Checklist

[ ] Network cables physically disconnected [ ] Firewall rules blocking all egress [ ] Host system backups completed
[ ] Monitoring tools installed and tested [ ] Team notified and on standby 3. Monitoring Setup bash

Essential Monitoring Tools

  • Wireshark for network analysis
  • Process Monitor for system activity
  • Windows Event Logs
  • Custom YARA rules
  • EDR solution test environment 📚 Modul Pembelajaran Module 1: Malware Analysis yaml Topics:
    • Static Analysis:

      • String extraction
      • Import table analysis
      • YARA rule development
    • Dynamic Analysis:

      • Behavioral monitoring
      • Network traffic analysis
      • Memory forensics
    • Reverse Engineering:

      • Disassembly techniques
      • API hooking analysis
      • Code deobfuscation Module 2: Defense Development yaml Defense Strategies:
    • Signature-based detection

    • Behavioral analysis rules

    • Network traffic patterns

    • Memory protection mechanisms

    • Application whitelisting Module 3: Incident Response yaml IR Procedures:

    • Initial detection and analysis

    • Containment strategies

    • Eradication techniques

    • Recovery procedures

    • Lessons learned documentation 🚨 Emergency Procedures Jika Terdeteksi di Environment Live bash

Immediate Actions

  1. ISOLATE - Segera putuskan dari jaringan
  2. CONTAIN - Jangan matikan sistem (forensic integrity)
  3. ANALYZE - Kumpulkan evidence memory dan disk
  4. REPORT - Laporkan ke tim security dan management
  5. REMEDIATE - Bersihkan sesuai prosedur incident response Data Breach Response yaml Notification Protocol:
  • Internal Security Team: Immediate

  • Management: Within 1 hour

  • Legal Department: Within 2 hours

  • Regulatory Bodies: As required by law

  • Affected Parties: As per data breach policy 🔍 Detection Signatures YARA Rules Example yara rule Financial_Malware_Indicator { meta: description = "Detects financial data targeting malware" author = "Security Research Team" date = "2024-01-01"

    strings: $financial_keywords = { 66 69 6E 61 6E 63 69 61 6C } // "financial" $crypto_wallets = { 77 61 6C 6C 65 74 2E 64 61 74 } // "wallet.dat" $browser_stealer = { 4C 6F 67 69 6E 20 44 61 74 61 } // "Login Data"

    condition: any of them and filesize < 5MB } Network Indicators python

Suspicious Network Patterns

  • DNS queries to unusual subdomains
  • HTTPS traffic to unknown IPs on port 8443
  • ICMP packets with large payload sizes
  • Multiple protocol usage for same data 📊 Assessment Framework Risk Scoring Matrix yaml Technical Impact:
    • Data Exposure: High (Financial data)
    • Persistence: High (Multiple mechanisms)
    • Evasion: High (Advanced techniques)
    • Detection Difficulty: High (Stealth features)

Business Impact:

  • Financial Loss: Critical
  • Regulatory Penalties: High
  • Reputation Damage: Critical
  • Operational Disruption: Medium Control Effectiveness Testing yaml Security Controls to Test:
  • Endpoint Protection: Behavioral analysis
  • Network Monitoring: Anomaly detection
  • Application Whitelisting: Bypass attempts
  • Data Loss Prevention: Exfiltration detection
  • User Training: Social engineering resistance 🤝 Kontribusi yang Bertanggung Jawab Guidelines for Researchers markdown
  1. Responsible Disclosure

    • Report vulnerabilities to vendors first
    • Allow reasonable time for patches
    • Coordinate public disclosure
  2. Ethical Research

    • Never target systems without permission
    • Respect data privacy and integrity
    • Follow academic integrity principles
  3. Knowledge Sharing

    • Publish findings in security conferences
    • Develop open-source detection tools
    • Mentor next generation of researchers Prohibited Activities markdown
  • ❌ Real-world deployment without authorization
  • ❌ Data theft or financial fraud
  • ❌ Damage to systems or data
  • ❌ Extortion or ransomware activities
  • ❌ Sharing with unauthorized parties 📞 Emergency Contacts Internal Contacts yaml Security Team:
    • CISO: +1-555-0100
    • Incident Response: +1-555-0101
    • Legal Department: +1-555-0102

External Contacts:

  • Law Enforcement: 911 (Emergency)
  • Cybersecurity Agency: [Local CERT]
  • Legal Counsel: [Organization Lawyer] 📋 Checklist Pre-Execution Pre-Testing Validation bash [ ] Legal documentation completed and signed [ ] Test environment properly isolated [ ] Backup and recovery procedures tested [ ] Monitoring and logging enabled [ ] Incident response team notified [ ] Scope boundaries clearly defined [ ] Data handling procedures established Post-Testing Activities bash [ ] All test data securely erased [ ] Systems returned to clean state [ ] Findings documented and analyzed [ ] Detection rules updated [ ] Lessons learned session conducted [ ] Improvement plans developed ⚠️ Disclaimer Akhir PERINGATAN LEGAL DAN ETIKA:

Proyek ini dibuat hanya untuk tujuan edukasi dan penelitian keamanan yang sah. Penulis dan kontributor tidak bertanggung jawab atas penyalahgunaan kode ini. Penggunaan untuk aktivitas ilegal adalah pelanggaran hukum dan dapat mengakibatkan konsekuensi pidana yang serius.

DENGAN MENGGUNAKAN PROYEK INI, ANDA MENYETUJUI:

Menggunakan hanya untuk tujuan edukasi yang sah

Mematuhi semua hukum dan regulasi yang berlaku

Memiliki otorisasi yang diperlukan sebelum penggunaan

Menanggung semua risiko dan tanggung jawab secara pribadi

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This is a fully featured all-in-one Red Team agent prototype (credential stealer, document stealer, multimedia recorder, evasion, persistence, encrypted C2)

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