RCCE Course
Course #865

Malicious domains Monitoring and Detection

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

RCCE students will learn threat intelligence lifecycle, indicator analysis, adversary profiling, intelligence sharing frameworks, and strategic threat reporting. RCCE students will learn to transform raw threat data into actionable intelligence, profile adversary campaigns and infrastructure, prioritize threats based on organizational risk, produce intelligence products for diverse audiences, and accelerate organizational detection and response capabilities. This monitoring course teaches comprehensive detection and observability strategies for proactive security operations. At an expert level, RCCE students will learn to instrument systems for security telemetry, build detection pipelines, configure alerting, and maintain monitoring coverage as environments evolve. Students gain the visibility and detection capabilities needed to catch threats early.

🎯 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 Malicious domains Monitoring and Detection
🧠 What You Will Learn
  • Execute hands-on tasks for malicious domains
  • Monitor and audit privilege usage; detect escalation attempts
  • Explain Course Overview fundamentals — covering Transform raw threat data into actionable.
  • Execute hands-on tasks for module structure — covering Transform raw threat data into actionable.
  • Design a scalable privilege management architecture with policy and enforcement
  • Execute hands-on tasks for recursive resolver
  • Execute hands-on tasks for authoritative server
  • Execute hands-on tasks for client query
  • Monitor and audit privilege usage; detect escalation attempts, including Query logs at recursive resolver.
  • Execute hands-on tasks for security-relevant fields — covering Source IP, query name, record type.
  • Execute hands-on tasks for malicious domain taxonomy
  • Execute hands-on tasks for parked/expired — covering Data in DNS queries.
📚 Course Outline
Module 01Malicious Domains
Module 02Monitoring and Detection
Module 03Course Overview
Module 04MODULE STRUCTURE
Module 05DNS Architecture for Security Analysts
Module 06Recursive Resolver
Module 07Authoritative Server
Module 08Client Query
Module 09Key Telemetry Points
Module 10Security-Relevant Fields
Module 11Malicious Domain Taxonomy
Module 12Parked/Expired
Module 13Domain Generation Algorithms — Deep Dive
Module 14How DGAs Work
🧪 Lab Details

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

  • Lab 1: Execute hands-on tasks for malicious domains
  • Lab 2: Monitor and audit privilege usage; detect escalation attempts
  • Lab 3: Explain Course Overview fundamentals
  • Lab 4: Execute hands-on tasks for module structure
  • Lab 5: Design a scalable privilege management architecture with policy and enforcement
📊 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 Malicious domains Monitoring 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