RCCE Course
Course #613

Pentest methodology Playbook for Teams

📊 Level: Beginner
⏱️ Duration: 2 Days
🏷️ Track: Offensive Security
📋 Prerequisites: None
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn penetration testing methodologies, vulnerability assessment, exploitation techniques, reconnaissance, and professional security testing reporting. RCCE students will learn to think like an attacker to identify vulnerabilities before adversaries do, conduct authorized security assessments across networks, applications, and wireless environments, and produce actionable findings that measurably improve organizational security. This team-oriented course builds collaborative workflows and organizational playbooks for security operations. Starting from foundational concepts, RCCE students will learn to create and implement standardized procedures that enable consistent performance across team members and shifts. Students develop the documentation, communication, and coordination skills needed for effective team-based security operations.

🎯 Target Audience
  • Security Engineers building defensive controls
  • Security Analysts and Blue Team members
  • Systems Administrators with security responsibilities
  • GRC and Risk Professionals supporting controls
  • Professionals implementing Pentest methodology Playbook for Teams
🧠 What You Will Learn
  • Execute hands-on tasks for pentest methodology
  • Execute hands-on tasks for playbook for teams
  • Explain Course Overview fundamentals
  • Execute hands-on tasks for what you will learn — covering Pentest methodologies and frameworks.
  • Execute hands-on tasks for course structure — covering 4-day intensive training program.
  • Execute hands-on tasks for target audience — covering Security analysts building offensive skills.
  • Execute hands-on tasks for why team-based pentesting
  • Execute hands-on tasks for pentest methodology landscape — covering Web application focus, Pre-engagement to reporting, Operations security metrics.
  • Execute hands-on tasks for owasp testing guide — covering Web application focus.
  • Execute hands-on tasks for nist sp 800-115 — covering Federal testing guidance.
  • Execute hands-on tasks for mitre att&ck — covering Adversary tactics and techniques.
  • Execute hands-on tasks for ptes deep dive — the 7 phases
📚 Course Outline
Module 01Pentest Methodology
Module 02Playbook for Teams
Module 03Course Overview
Module 04What You Will Learn
Module 05Course Structure
Module 06Target Audience
Module 07Why Team-Based Pentesting
Module 08Pentest Methodology Landscape
Module 09OWASP Testing Guide
Module 10NIST SP 800-115
Module 11MITRE ATT&CK
Module 12PTES Deep Dive — The 7 Phases
Module 13Intel Gather
Module 14Threat Model
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice pentest methodology playbook for teams by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Execute hands-on tasks for pentest methodology
  • Lab 2: Execute hands-on tasks for playbook for teams
  • Lab 3: Explain Course Overview fundamentals
  • Lab 4: Execute hands-on tasks for what you will learn
  • Lab 5: Execute hands-on tasks for course structure
📊 Skill Level
Beginner
Beginner Intermediate Advanced Expert
Duration
2 Days
🎓
Certificate
Completion
🖥️
Lab Platform
Rose X OS
👨‍🏫
Mode of Training
Online Instructor-Led
🔥
Platform
Zelfire
🐦‍⬛
Cyber Range
Raven
📓
Study Material
CyberNotes
🏆 Certificate

Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Pentest methodology Playbook for Teams, verifiable through the Rocheston certification portal.

🔑 Student Access & Materials
  • Full access to all course materials and slide decks
  • Hands-on lab access on Rocheston Rose X OS environment
  • Access to Rocheston CyberNotes
  • Access to Rocheston Zelfire — EDR/XDR SIEM platform
  • Access to Rocheston Raven — online cyber range exercise platform
  • Access to Rocheston Vulnerability Vines AI