RCCE Course
Course #74

VPN Threats and Detection

📊 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
🧠 What You Will Learn
  • Build detections and response workflows for privilege escalation
  • Execute hands-on tasks for bootcamp module
  • Execute hands-on tasks for advanced cyber defense mastery
  • Explain Executive Overview fundamentals
  • Execute hands-on tasks for course mission — covering Master VPN technologies at an expert level.
  • Execute hands-on tasks for threat landscape context — covering VPN remains #1 remote access attack surface.
  • Execute hands-on tasks for remote workforce gateway
  • Execute hands-on tasks for ransomware entry point
  • Execute hands-on tasks for regulatory mandate
  • Execute hands-on tasks for security relevance
  • Design a scalable privilege management architecture with policy and enforcement
  • Execute hands-on tasks for remote access vpn
📚 Course Outline
Module 01VPN Threats and Detection
Module 02Bootcamp Module
Module 03Advanced Cyber Defense Mastery
Module 04Executive Overview
Module 05Course Mission
Module 06Threat Landscape Context
Module 07Remote Workforce Gateway
Module 08Ransomware Entry Point
Module 09Regulatory Mandate
Module 10Security Relevance
Module 11VPN Architecture & Topology Types
Module 12Remote Access VPN
Module 13IPSec VPN Deep Dive
Module 14IKE Phase 2 (Quick Mode)
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice vpn threats and detection 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: Execute hands-on tasks for bootcamp module
  • Lab 3: Execute hands-on tasks for advanced cyber defense mastery
  • Lab 4: Explain Executive Overview fundamentals
  • Lab 5: Execute hands-on tasks for course mission
📊 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, 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