This document outlines planned enhancements and advanced features for future versions of the PainPain Ransomware PoC. These implementations will bridge the gap between educational demonstration and real-world ransomware operations.
Current Status: Phases 1-10 implemented with educational simulations
Target: Production-grade security research platform
Objective: Develop a kernel-mode driver for low-level system manipulation.
Features:
- File system minifilter driver for transparent encryption
- Kernel callback registration for process/thread monitoring
- Direct disk access bypassing file system locks
- Registry callback filtering
- Hidden kernel-mode execution
Implementation:
drivers/
├── painpain_driver/
│ ├── src/
│ │ ├── main.c # Driver entry point
│ │ ├── fs_filter.c # File system minifilter
│ │ ├── callbacks.c # Process/registry callbacks
│ │ ├── crypto.c # Kernel crypto (AES-NI)
│ │ └── hide.c # Rootkit techniques
│ ├── include/
│ │ └── painpain.h
│ └── painpain.inf # Driver installation
Technologies: WDK, C, kernel-mode programming
Complexity: Very High
Timeline: 3-4 months
Objective: Pre-boot persistence via UEFI firmware modification.
Features:
- UEFI application that loads before OS
- Disk encryption key capture at boot
- Disable Secure Boot
- Persist across OS reinstalls
Components:
- UEFI bootkit (EDK II based)
- SPI flash read/write capability
- TPM bypass techniques
References: TrickBoot, Lojax
Complexity: Expert
Timeline: 4-6 months
Objective: Integrate actual exploit code for lateral movement.
CVE Targets:
| CVE | Description | Priority |
|---|---|---|
| CVE-2017-0144 | EternalBlue (MS17-010) | High |
| CVE-2020-0796 | SMBGhost | High |
| CVE-2021-34527 | PrintNightmare | High |
| CVE-2021-40444 | MSHTML RCE | Medium |
| CVE-2023-36884 | Office/Windows RCE | Medium |
Implementation:
ransomware/exploits/
├── eternalblue/
│ ├── exploit.py
│ ├── shellcode/
│ └── targets.py
├── smbghost/
├── printnightmare/
└── exploit_manager.pyNote: Will use re-created/educational versions only
Objective: Extract credentials from LSASS process memory.
Techniques:
- Direct syscalls to NtReadVirtualMemory
- MinidumpWriteDump API
- Custom dump parser (Mimikatz-style)
- Handle duplication for protected processes
Output: Extracted hashes, passwords, Kerberos tickets
Objective: Resilient, distributed command and control.
Architecture:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Panel A │◄───►│ Panel B │◄───►│ Panel C │
│ (Primary) │ │ (Backup) │ │ (Backup) │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
└───────────────────┴───────────────────┘
│
┌──────┴──────┐
│ Victims │
└─────────────┘
Features:
- Multi-region deployment
- Automatic failover
- Load balancing
- Traffic shaping
Technologies: Kubernetes, Docker, Cloudflare
13.2 TOR Hidden Services
Objective: Anonymous C2 via TOR network.
Implementation:
- Dedicated TOR service per victim
- Onion v3 addresses
- Ricochet protocol for metadata-resistant chat
- TOR bridge support for censorship resistance
Objective: Automated payment verification.
Features:
- Real-time blockchain monitoring
- Automatic payment confirmation
- Multi-signature wallets
- Payment mixing integration
- Smart contract ransom (Ethereum)
Objective: ML-based sensitive data detection.
Models:
- Document classification (resumes, contracts, financial)
- Source code detection and extraction
- Database schema analysis
- Email importance scoring
- Image analysis (screenshots, diagrams)
Implementation:
ransomware/ai/
├── models/
│ ├── document_classifier.pkl
│ ├── code_detector.pkl
│ └── email_analyzer.pkl
├── inference.py
└── training/
└── train_models.pyObjective: Adaptive evasion based on environment.
Features:
- Reinforcement learning for sandbox evasion
- Dynamic sleep timing based on system load
- Polymorphic code generation
- Adaptive encryption speed
Objective: Full Linux support (ESXi, NAS, cloud).
Components:
- ELF binary with similar capabilities
- Ext4/XFS/Btrfs encryption
- LVM snapshot deletion
- Docker/container escape
- SSH key harvesting
- Cron persistence
Targets:
- VMware ESXi
- NAS devices (Synology, QNAP)
- Cloud instances (AWS, Azure, GCP)
- IoT devices
Objective: macOS ransomware capabilities.
Features:
- APFS encryption
- TCC (Transparency, Consent, Control) bypass
- XProtect bypass
- Gatekeeper evasion
- Notarization abuse
Objective: Hardware-level persistence mechanisms.
Techniques:
- HDD/SSD firmware modification
- Network card firmware implants
- BMC/IPMI exploitation
- Intel ME/AMD PSP manipulation
Objective: Maintain access in cloud environments.
AWS:
- IAM role manipulation
- Lambda backdoors
- S3 bucket poisoning
- EC2 metadata service abuse
Azure:
- Managed Identity abuse
- Function App persistence
- Key Vault access
GCP:
- Service account hijacking
- Cloud Function backdoors
Objective: Ransomware-as-a-Service platform.
Features:
- Affiliate registration and verification
- Payload customization UI
- Victim tracking dashboard
- Payment status tracking
- Statistics and analytics
- Support ticket system
Objective: Automated victim negotiation.
Components:
- AI-powered chatbot for initial contact
- Human escalation to operators
- Payment plan negotiation
- Proof of decrypt system
- Deadline extension handling
Objective: Public shaming and extortion.
Features:
- TOR-based leak site
- Victim blog posts
- File browser for stolen data
- Search functionality
- Download capabilities
- Countdown timers
Objective: Bypass enterprise endpoint detection.
Target EDRs:
- CrowdStrike Falcon
- SentinelOne
- Microsoft Defender for Endpoint
- Carbon Black
- Trend Micro
Techniques:
- Kernel callback removal
- ETW syscall patching
- AMSI advanced bypasses
- PPL (Protected Process Light) bypass
- HVCI (Hypervisor-Protected Code Integrity) bypass
Objective: Bypass zero-trust architectures.
Techniques:
- Device certificate theft
- Device attestation bypass
- Conditional access evasion
- MFA bypass (AD FS, Okta)
Objective: Quantum-resistant encryption.
Algorithms:
- CRYSTALS-Kyber for key encapsulation
- CRYSTALS-Dilithium for signatures
- SPHINCS+ for hash-based signatures
Objective: Maximum encryption speed.
Features:
- AES-NI utilization
- GPU acceleration (CUDA/OpenCL)
- FPGA-based encryption
- AVX-512 vectorized operations
Objective: Dynamic algorithm selection.
Implementation:
- Negotiate encryption algorithm with C2
- Fall back to supported algorithms
- Algorithm versioning per file
Objective: Thwart incident response.
Techniques:
- Artifact wiping (Prefetch, RecentDocs)
- Event log tampering (deletion, modification)
- Memory wiping
- Secure deletion (Gutmann, DoD 5220.22-M)
- Timestamp manipulation
Objective: Detect and evade incident responders.
Features:
- IR tool detection (responders check)
- Memory forensics detection (Volatility signatures)
- Network forensics evasion (pcap cleaning)
- Disk imaging detection
Objective: Prevent tracking to operators.
Techniques:
- Language localization (false flag)
- Timezone spoofing
- Code style modification
- Infrastructure mixing (compromised + owned)
| Phase | Estimated Time | Priority |
|---|---|---|
| 11: Kernel Driver | 4 months | Medium |
| 12: Exploits | 3 months | High |
| 13: Infrastructure | 2 months | High |
| 14: AI/ML | 4 months | Medium |
| 15: Cross-Platform | 3 months | Medium |
| 16: Firmware | 6 months | Low |
| 17: Operations | 3 months | High |
| 18: EDR Bypass | 4 months | High |
| 19: PQC | 3 months | Low |
| 20: OpSec | 2 months | Medium |
Total Estimated Time: 24-30 months full-time development
- 2x Kernel developers (Windows/Linux)
- 2x Exploit researchers
- 2x Infrastructure/DevOps engineers
- 1x ML/AI engineer
- 1x Cryptographer
- 1x UI/UX designer (for panels)
- Cloud hosting: $5,000-10,000/month
- TOR infrastructure: $500-1,000/month
- Domain registration: $200/month
- Testing environments: $2,000/month
- IDA Pro: $5,000
- Binary Ninja: $400
- Cloudflare Pro: $200/month
- Various cloud services: $1,000/month
Total Monthly Operational Cost: ~$10,000-15,000
THIS IS FOR DEFENSIVE RESEARCH ONLY
All future implementations must:
- Include safety mechanisms (kill switches)
- Be clearly marked as research/educational
- Never be deployed on unauthorized systems
- Include attribution to PainPain project
- Be shared with security community
Legal Compliance:
- Follow responsible disclosure
- Coordinate with CERTs
- Maintain chain of custody for research
- Document defensive mitigations
Interested researchers can contribute to future phases:
- Fork the repository
- Create feature branch:
git checkout -b feature/phase-11-kernel - Implement with safety checks
- Add comprehensive documentation
- Submit pull request with defense notes
Contribution Areas:
- Defensive detection rules
- Mitigation strategies
- YARA signatures
- IOCs for implemented features
- Incident response playbooks
- MITRE ATT&CK Framework
- NIST Cybersecurity Framework
- SANS Incident Response Process
- ISO/IEC 27001:2022
Research Papers:
- "The Evolution of Ransomware" - Unit42
- "Ransomware Operations" - Mandiant
- "Kernel-Level Rootkits" - Intel
Last Updated: 2026-04-10
Version: 2.0
Status: Planning Phase