RCCE Course
Course #144

VPN Threats and Detection: Bootcamp Module

📊 Level: Advanced
⏱️ Duration: 2 Days
🏷️ Track: Network Security
📋 Prerequisites: Foundations
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn virtual private network technologies including IPSec, SSL/TLS VPN, WireGuard, split tunneling, full tunnel configurations, and site-to-site versus remote access VPN architectures. RCCE students will learn to deploy and configure VPN solutions for secure remote access, troubleshoot VPN connectivity and performance issues, analyze VPN logs for suspicious activity, implement VPN hardening best practices, detect VPN credential abuse and unauthorized tunnel establishment, and respond to incidents involving compromised VPN infrastructure including credential stuffing attacks and vulnerability exploitation. This threat-focused course teaches students to think like adversaries while building robust defenses. At an expert level, RCCE students will learn to analyze attack techniques, build detection logic, and implement defensive strategies that proactively identify threats before they cause damage. Students develop a threat-informed mindset that drives better security decisions across all operational activities.

🎯 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 VPN Threats and Detection: Bootcamp Module
🧠 What You Will Learn
  • Build detections and response workflows for privilege escalation
  • Explain Executive Overview fundamentals
  • Execute hands-on tasks for course mission — covering Master VPN technologies at an expert level.
  • Execute hands-on tasks for attack surface
  • Execute hands-on tasks for business impact
  • Execute hands-on tasks for defense priority — covering VPN gateways are internet-, Full network access upon.
  • Execute hands-on tasks for security relevance
  • Design a scalable privilege management architecture with policy and enforcement
  • Execute hands-on tasks for split tunneling
  • Execute hands-on tasks for full tunnel
  • Execute hands-on tasks for site-to-site vs remote access vpn
  • Execute hands-on tasks for remote access vpn
📚 Course Outline
Module 01VPN Threats and Detection
Module 02Executive Overview
Module 03Course Mission
Module 04Attack Surface
Module 05Business Impact
Module 06Defense Priority
Module 07Security Relevance
Module 08VPN Protocol Architecture Comparison
Module 09Split Tunneling
Module 10Full Tunnel
Module 11Site-to-Site vs Remote Access VPN
Module 12Remote Access VPN
Module 13Connection Type
Module 14VPN Threat Landscape
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice vpn threats and detection: bootcamp module by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Build detections and response workflows for privilege escalation
  • Lab 2: Explain Executive Overview fundamentals
  • Lab 3: Execute hands-on tasks for course mission
  • Lab 4: Execute hands-on tasks for attack surface
  • Lab 5: Execute hands-on tasks for business impact
📊 Skill Level
Advanced
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 VPN Threats and Detection: Bootcamp Module, 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