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。
Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and SANS PICERL frameworks. Covers playbook structure, decision trees, escalation criteria, RACI matrices, and integration with SOAR platforms. Activates for requests involving IR playbook creation, incident response procedure documentation, response runbook development, or SOAR playbook design.
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 for one-time ad hoc investigations; playbooks are reusable procedure documents, not case-specific reports.
Define the specific scenario the playbook will address:
Common playbook types:
Priority Playbooks (build first):
1. Ransomware incident response
2. Phishing/credential compromise
3. Business email compromise
4. Malware infection
5. Data breach/exfiltration
6. DDoS attack
7. Insider threat
8. Account takeover
9. Web application compromise
10. Cloud infrastructure compromise
Every playbook should follow a consistent structure:
PLAYBOOK TEMPLATE
━━━━━━━━━━━━━━━━
1. Playbook Metadata
- Name, version, owner, last review date
- Trigger conditions
- Severity criteria
2. RACI Matrix
- Who is Responsible, Accountable, Consulted, Informed for each step
3. Detection & Triage
- How the incident is detected
- Initial triage checklist
- Severity classification criteria
4. Containment
- Short-term containment actions
- Long-term containment actions
- Evidence preservation requirements
5. Eradication
- Root cause identification
- Malware/threat removal steps
- Verification procedures
6. Recovery
- System restoration steps
- Validation criteria
- Monitoring requirements post-recovery
7. Post-Incident
- Lessons learned meeting trigger
- Report template
- Detection improvement actions
8. Communication
- Internal notification matrix
- External notification requirements (regulators, customers, law enforcement)
- Status update cadence
9. Appendices
- Tool-specific procedures
- Contact lists
- Evidence collection checklists
Define clear decision points with binary outcomes:
Detection Alert Received
├── Is the alert a true positive?
│ ├── YES → Classify severity
│ │ ├── P1 (Critical) → Page incident commander, begin containment immediately
│ │ ├── P2 (High) → Notify IR lead, begin investigation within 30 min
│ │ ├── P3 (Medium) → Queue for investigation within 4 hours
│ │ └── P4 (Low) → Document and investigate within 24 hours
│ └── NO → Document as false positive, tune detection rule
└── Cannot determine → Escalate to Tier 2 for deeper analysis
Escalation triggers:
Write tool-specific instructions for each step (not generic guidance):
CONTAINMENT - Endpoint Isolation via CrowdStrike:
1. Open Falcon Console > Hosts > Search for affected hostname
2. Click on the host > Host Details
3. Click "Contain Host" button in upper right
4. Confirm isolation (host will only communicate with CrowdStrike cloud)
5. Document containment action in incident ticket with timestamp
6. Verify containment: Host should show "Contained" status badge
CONTAINMENT - Block C2 Domain at DNS:
1. SSH to DNS server: ssh admin@dns-primary.corp.local
2. Add to block zone: echo "zone evil.com { type master; file /etc/bind/db.sinkhole; };" >> /etc/bind/named.conf.local
3. Reload DNS: rndc reload
4. Verify: dig @dns-primary evil.com (should resolve to sinkhole IP 10.0.0.99)
5. Document blocked domain in incident ticket
Convert manual playbook steps into automated workflows:
Validate the playbook through exercises and maintain currency:
| Term | Definition |
|---|---|
| Playbook | Documented, repeatable set of procedures for responding to a specific incident type |
| Runbook | More granular than a playbook; step-by-step technical instructions for a specific task within a playbook |
| RACI Matrix | Responsibility assignment chart defining who is Responsible, Accountable, Consulted, and Informed for each activity |
| Decision Tree | Flowchart-based logic defining the response path based on binary conditions at each decision point |
| Escalation Criteria | Predefined conditions that trigger notification of higher-level personnel or external parties |
| SOAR Playbook | Automated workflow in a Security Orchestration, Automation, and Response platform executing playbook steps |
Context: An organization with a 5-person SOC has no documented phishing response procedure. Analysts handle phishing reports inconsistently.
Approach:
Pitfalls:
INCIDENT RESPONSE PLAYBOOK
============================
Playbook Name: Phishing Incident Response
Version: 2.1
Owner: SOC Manager
Last Reviewed: 2025-11-01
Next Review: 2026-02-01
Trigger: Phishing email reported via abuse@corp.com or phish button
RACI MATRIX
Activity | SOC L1 | SOC L2 | IR Lead | Legal | Comms
Initial Triage | R | C | I | |
Email Analysis | R | A | I | |
Containment | | R | A | I |
Credential Reset | | R | A | |
User Notification | | C | A | | R
Regulatory Notification | | | C | R | A
Lessons Learned | C | C | R | I | I
PROCEDURE STEPS
[Detailed steps with tool-specific instructions]
DECISION TREE
[Flowchart logic]
ESCALATION MATRIX
[Conditions and contacts]
METRICS
Target MTTA: 15 minutes
Target MTTC: 1 hour
Target MTTR: 4 hours
まだレビューはありません。使ってみた感想をお寄せください。
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。
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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。