Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Executes comprehensive red team exercises that simulate real-world adversary operations against an organization's people, processes, and technology. The red team operates with stealth as a primary objective, employing the full attack lifecycle from initial reconnaissance through objective completion while testing the organization's detection and response capabilities. This differs from penetration testing by focusing on adversary emulation rather than vulnerability identification. Activates for requests involving red team exercise, adversary simulation, adversary emulation, or full-scope offensive security assessment.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Do not use without executive-level authorization and a detailed Rules of Engagement document, against systems where disruption could affect safety or critical operations, or as a replacement for basic vulnerability management (fix known vulnerabilities first).
Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.
Develop the operation plan based on a realistic threat model:
Build OPSEC-hardened attack infrastructure:
Gain initial foothold in the target environment:
Operate within the target environment while maintaining stealth:
Convert red team findings into defensive improvements:
| Term | Definition |
|---|---|
| Adversary Emulation | Simulating the specific TTPs of a known threat actor to test defenses against realistic threats relevant to the organization |
| C2 (Command and Control) | Infrastructure and communication channels used by the red team to remotely control implants deployed on compromised systems |
| OPSEC | Operational Security; practices employed by the red team to avoid detection by the defending team during the exercise |
| Domain Fronting | A technique for hiding C2 traffic behind legitimate CDN domains to evade network-based detection and domain blocking |
| Purple Teaming | Collaborative exercise where red and blue teams work together to improve detection by sharing attack techniques and defensive gaps |
| White Cell | The trusted agent or exercise control group that manages the exercise, handles deconfliction, and mediates between red and blue teams |
| Implant | Software deployed by the red team on compromised systems to maintain access, execute commands, and facilitate lateral movement |
| MTTD/MTTR | Mean Time to Detect / Mean Time to Respond; metrics measuring how long it takes the defending team to identify and contain threats |
Context: A national retail chain wants to test its defenses against FIN7, a financially motivated threat group known for targeting retail and hospitality organizations with point-of-sale malware, phishing, and data exfiltration.
Approach:
Pitfalls:
## Red Team Exercise Report - FIN7 Adversary Emulation
### Exercise Summary
**Duration**: November 4-22, 2025 (15 business days)
**Objective**: Access cardholder data environment and demonstrate data exfiltration capability
**Outcome**: OBJECTIVE ACHIEVED - Red team accessed POS management system and staged cardholder data for exfiltration
### ATT&CK Technique Coverage
| Technique | ID | Status | Detected? | MTTD |
|-----------|----|--------|-----------|------|
| Spear-Phishing Attachment | T1566.001 | Executed | No | - |
| Visual Basic Macro | T1059.005 | Executed | No | - |
| Process Injection | T1055 | Executed | No | - |
| Kerberoasting | T1558.003 | Executed | No | - |
| Remote Desktop Protocol | T1021.001 | Executed | YES | 47h |
| Data Staged | T1074 | Executed | No | - |
| Exfiltration Over C2 | T1041 | Executed | No | - |
### Detection Summary
- **Techniques Executed**: 14
- **Techniques Detected**: 3 (21.4%)
- **Mean Time to Detect**: 47 hours (for detected techniques)
- **Mean Time to Respond**: 4 hours (from detection to containment)
### Priority Recommendations
1. Deploy email detonation sandboxing for macro-enabled document analysis
2. Implement Kerberoasting detection via Windows Event ID 4769 monitoring
3. Enhance PowerShell logging (Script Block Logging, Module Logging)
4. Deploy memory-scanning EDR capability to detect process injection
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概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。