RCCE Course
Course #1053

Mobile Malware and Spyware Analysis

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

RCCE students will learn how malicious mobile code abuses permissions, overlays, accessibility services, embedded libraries, network channels, and persistence mechanisms to steal data or spy on users. RCCE students will learn to triage suspicious mobile applications, identify exfiltration behavior, extract indicators of compromise, understand spyware tradecraft, and support threat hunting and incident response for compromised mobile environments. The course covers practical scenarios ranging from sample triage to behavioral analysis and reporting. RCCE students will learn to analyze complex systems and think like an attacker to better defend the organization. This comprehensive course delivers practical knowledge applicable to real-world cybersecurity operations. Starting from foundational concepts, RCCE students will learn through a combination of concept explanation, practical demonstration, and hands-on exercises.

🎯 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 Mobile Malware and Spyware Analysis
🧠 What You Will Learn
  • Execute hands-on tasks for spyware analysis
  • Explain Course Overview fundamentals
  • Execute hands-on tasks for what you will learn — covering Course Structure.
  • Execute hands-on tasks for mobile threat landscape
  • Execute hands-on tasks for key threat actors
  • Execute hands-on tasks for impact domains — covering 4.8B+ mobile devices worldwide, Nation-state spyware operators.
  • Execute hands-on tasks for insider threat via mdm abuse — covering Financial theft and fraud.
  • Execute hands-on tasks for mobile malware taxonomy — covering Disguised as legitimate apps.
  • Execute hands-on tasks for trojans & rats — covering Disguised as legitimate apps.
  • Execute hands-on tasks for spyware & stalkerware — covering Stealth GPS and call logging.
  • Execute hands-on tasks for adware & pups — covering Aggressive ad injection.
  • Design a scalable privilege management architecture with policy and enforcement
📚 Course Outline
Module 01Spyware Analysis
Module 02Course Overview
Module 03What You Will Learn
Module 04Mobile Threat Landscape
Module 05Key Threat Actors
Module 06Impact Domains
Module 07Insider threat via MDM abuse
Module 08Mobile Malware Taxonomy
Module 09Trojans & RATs
Module 10Spyware & Stalkerware
Module 11Adware & PUPs
Module 12Android Security Architecture
Module 13Kernel & Sandbox
Module 14Application Layer
🧪 Lab Details

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

  • Lab 1: Execute hands-on tasks for spyware analysis
  • Lab 2: Explain Course Overview fundamentals
  • Lab 3: Execute hands-on tasks for what you will learn
  • Lab 4: Execute hands-on tasks for mobile threat landscape
  • Lab 5: Execute hands-on tasks for key threat actors
📊 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 Mobile Malware and Spyware Analysis, 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