本文へ移動
cccskills
無料GitHub で公開

executing-red-team-engagement-planning

Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins.

インストール方法を見る

含まれるファイル(8)

  • SKILL.md6.5 KB
  • assets/template.md6.7 KB
  • LICENSE11.0 KB
  • references/api-reference.md2.2 KB
  • references/standards.md2.7 KB
  • references/workflows.md6.1 KB
  • scripts/agent.py5.9 KB
  • scripts/process.py32.7 KB

SKILL.md(原文)

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。

Executing Red Team Engagement Planning

Overview

Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins. A well-structured engagement plan ensures the red team simulates realistic adversary behavior while maintaining safety guardrails that prevent unintended business disruption.

When to Use

  • When conducting security assessments that involve executing red team engagement planning
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Familiarity with red teaming concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Objectives

  • Define clear engagement scope including in-scope and out-of-scope assets, networks, and personnel
  • Establish Rules of Engagement (ROE) with emergency stop procedures, communication channels, and legal boundaries
  • Select appropriate threat profiles from the MITRE ATT&CK framework aligned to the organization's threat landscape
  • Create a detailed attack plan mapping adversary TTPs to engagement objectives
  • Develop deconfliction procedures with the organization's SOC/blue team
  • Produce a comprehensive engagement brief for stakeholder approval

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.

Core Concepts

Engagement Types

TypeDescriptionScope
Full ScopeComplete adversary simulation with physical, social, and cyber vectorsEntire organization
Assumed BreachStarts from initial foothold, focuses on post-exploitationInternal network
Objective-BasedTarget specific crown jewels (e.g., domain admin, PII exfiltration)Defined targets
Purple TeamCollaborative with blue team for detection improvementSpecific controls

Rules of Engagement Components

  1. Scope Definition: IP ranges, domains, physical locations, personnel
  2. Restrictions: Systems/networks that must not be touched (e.g., production databases, medical devices)
  3. Communication Plan: Primary and secondary contact channels, escalation procedures
  4. Emergency Procedures: Code word for immediate cessation, incident response coordination
  5. Legal Authorization: Signed authorization letters, get-out-of-jail letters for physical tests
  6. Data Handling: How sensitive data discovered during testing will be handled and destroyed
  7. Timeline: Start/end dates, blackout windows, reporting deadlines

Threat Profile Selection

Map organizational threats using MITRE ATT&CK Navigator to select relevant adversary profiles:

  • APT29 (Cozy Bear): Government/defense sector targeting via spearphishing, supply chain
  • APT28 (Fancy Bear): Government organizations, credential harvesting, zero-days
  • FIN7: Financial sector, POS malware, social engineering
  • Lazarus Group: Financial institutions, cryptocurrency exchanges, destructive malware
  • Conti/Royal: Ransomware operators, double extortion, RaaS model

Workflow

Phase 1: Pre-Engagement

  1. Conduct initial scoping meeting with stakeholders
  2. Identify crown jewels and critical business assets
  3. Review previous security assessments and audit findings
  4. Define success criteria and engagement objectives
  5. Draft Rules of Engagement document

Phase 2: Threat Modeling

  1. Identify relevant threat actors using MITRE ATT&CK
  2. Map threat actor TTPs to organizational attack surface
  3. Select primary and secondary attack scenarios
  4. Define adversary emulation plan with specific technique IDs
  5. Establish detection checkpoints for purple team opportunities

Phase 3: Operational Planning

  1. Set up secure communication channels (encrypted email, Signal, etc.)
  2. Create operational security (OPSEC) guidelines for the red team
  3. Establish infrastructure requirements (C2 servers, redirectors, phishing domains)
  4. Develop phased attack timeline with go/no-go decision points
  5. Create deconfliction matrix with SOC/IR team

Phase 4: Documentation and Approval

  1. Compile engagement plan document
  2. Review with legal counsel
  3. Obtain executive sponsor signature
  4. Brief red team operators on ROE and restrictions
  5. Distribute emergency contact cards

Tools and Resources

  • MITRE ATT&CK Navigator: Threat actor TTP mapping and visualization
  • VECTR: Red team engagement tracking and metrics platform
  • Cobalt Strike / Nighthawk: C2 framework planning and infrastructure design
  • PlexTrac: Red team reporting and engagement management platform
  • SCYTHE: Adversary emulation platform for attack plan creation

Validation Criteria

  • Signed Rules of Engagement document
  • Defined scope with explicit in/out boundaries
  • Selected threat profile with mapped MITRE ATT&CK techniques
  • Emergency stop procedures tested and verified
  • Communication plan distributed to all stakeholders
  • Legal authorization obtained and filed
  • Red team operators briefed and acknowledged ROE

Common Pitfalls

  1. Scope Creep: Expanding testing beyond approved boundaries during execution
  2. Inadequate Deconfliction: SOC investigating red team activity as real incidents
  3. Missing Legal Authorization: Testing without proper signed authorization
  4. Unrealistic Threat Models: Simulating threats irrelevant to the organization
  5. Poor Communication: Failing to maintain contact with stakeholders during engagement

Related Skills

  • performing-open-source-intelligence-gathering
  • conducting-adversary-simulation-with-atomic-red-team
  • performing-assumed-breach-red-team-exercise
  • building-red-team-infrastructure-with-redirectors

レビュー

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。

同じリポジトリのスキル

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。

aniket2348823/Vul-Agent22026年6月9日 更新

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。

aniket2348823/Vul-Agent22026年6月9日 更新

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。

aniket2348823/Vul-Agent22026年6月9日 更新

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。

aniket2348823/Vul-Agent22026年6月9日 更新

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。

aniket2348823/Vul-Agent22026年6月9日 更新

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。

aniket2348823/Vul-Agent22026年6月9日 更新

aniket2348823 のスキルをすべて見る

このスキルの問題を報告する