techwavedev Red Team Tactics
Adversary simulation principles based on MITRE ATT&CK framework.
1. MITRE ATT&CK Phases
Attack Lifecycle
RECONNAISSANCE → INITIAL ACCESS → EXECUTION → PERSISTENCE
↓ ↓ ↓ ↓
PRIVILEGE ESC → DEFENSE EVASION → CRED ACCESS → DISCOVERY
↓ ↓ ↓ ↓
LATERAL MOVEMENT → COLLECTION → C2 → EXFILTRATION → IMPACT
Phase Objectives
| Phase | Objective |
|---|---|
| Recon | Map attack surface |
| Initial Access | Get first foothold |
| Execution | Run code on target |
| Persistence | Survive reboots |
| Privilege Escalation | Get admin/root |
| Defense Evasion | Avoid detection |
| Credential Access | Harvest credentials |
| Discovery | Map internal network |
| Lateral Movement | Spread to other systems |
| Collection | Gather target data |
| C2 | Maintain command channel |
| Exfiltration | Extract data |
2. Reconnaissance Principles
Passive vs Active
| Type | Trade-off |
|---|---|
| Passive | No target contact, limited info |
| Active | Direct contact, more detection risk |
Information Targets
| Category | Value |
|---|---|
| Technology stack | Attack vector selection |
| Employee info | Social engineering |
| Network ranges | Scanning scope |
| Third parties | Supply chain attack |
3. Initial Access Vectors
Selection Criteria
| Vector | When to Use |
|---|---|
| Phishing | Human target, email access |
| Public exploits | Vulnerable services exposed |
| Valid credentials | Leaked or cracked |
| Supply chain | Third-party access |
4. Privilege Escalation Principles
Windows Targets
| Check | Opportunity |
|---|---|
| Unquoted service paths | Write to path |
| Weak service permissions | Modify service |
| Token privileges | Abuse SeDebug, etc. |
| Stored credentials | Harvest |
Linux Targets
| Check | Opportunity |
|---|---|
| SUID binaries | Execute as owner |
| Sudo misconfiguration | Command execution |
| Kernel vulnerabilities | Kernel exploits |
| Cron jobs | Writable scripts |
5. Defense Evasion Principles
Key Techniques
| Technique | Purpose |
|---|---|
| LOLBins | Use legitimate tools |
| Obfuscation | Hide malicious code |
| Timestomping | Hide file modifications |
| Log clearing | Remove evidence |
Operational Security
- Work during business hours
- Mimic legitimate traffic patterns
- Use encrypted channels
- Blend with normal behavior
6. Lateral Movement Principles
Credential Types
| Type | Use |
|---|---|
| Password | Standard auth |
| Hash | Pass-the-hash |
| Ticket | Pass-the-ticket |
| Certificate | Certificate auth |
Movement Paths
- Admin shares
- Remote services (RDP, SSH, WinRM)
- Exploitation of internal services
7. Active Directory Attacks
Attack Categories
| Attack | Target |
|---|---|
| Kerberoasting | Service account passwords |
| AS-REP Roasting | Accounts without pre-auth |
| DCSync | Domain credentials |
| Golden Ticket | Persistent domain access |
8. Reporting Principles
Attack Narrative
Document the full attack chain:
- How initial access was gained
- What techniques were used
- What objectives were achieved
- Where detection failed
Detection Gaps
For each successful technique:
- What should have detected it?
- Why didn't detection work?
- How to improve detection
9. Ethical Boundaries
Always
- Stay within scope
- Minimize impact
- Report immediately if real threat found
- Document all actions
Never
- Destroy production data
- Cause denial of service (unless scoped)
- Access beyond proof of concept
- Retain sensitive data
10. Anti-Patterns
| ❌ Don't | ✅ Do |
|---|---|
| Rush to exploitation | Follow methodology |
| Cause damage | Minimize impact |
| Skip reporting | Document everything |
| Ignore scope | Stay within boundaries |
Remember: Red team simulates attackers to improve defenses, not to cause harm.
AGI Framework Integration
Qdrant Memory Integration
Before executing complex tasks with this skill:
python3 execution/memory_manager.py auto --query "<task summary>"
Decision Tree:
- Cache hit? Use cached response directly — no need to re-process.
- Memory match? Inject
context_chunksinto your reasoning. - No match? Proceed normally, then store results:
python3 execution/memory_manager.py store \
--content "Description of what was decided/solved" \
--type decision \
--tags red-team-tactics <relevant-tags>
Note: Storing automatically updates both Vector (Qdrant) and Keyword (BM25) indices.
Agent Team Collaboration
- Strategy: This skill communicates via the shared memory system.
- Orchestration: Invoked by
orchestratorvia intelligent routing. - Context Sharing: Always read previous agent outputs from memory before starting.
Local LLM Support
When available, use local Ollama models for embedding and lightweight inference:
- Embeddings:
nomic-embed-textvia Qdrant memory system - Lightweight analysis: Local models reduce API costs for repetitive patterns