RCCE Course
Course #1049

Mobile Application Penetration Testing

📊 Level: Intermediate
⏱️ Duration: 2 Days
🏷️ Track: Penetration Testing
📋 Prerequisites: AppSec
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn how to assess the security of mobile applications across Android and iOS environments using structured testing methodologies and attack-driven validation. RCCE students will learn to identify insecure data storage, weak certificate validation, insecure authentication flows, exposed intents and deep links, risky API interactions, and business logic issues unique to mobile apps. The course covers practical scenarios ranging from static review to dynamic testing 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 Application Penetration Testing
🧠 What You Will Learn
  • Execute hands-on tasks for mobile application
  • Execute hands-on tasks for penetration testing
  • Explain Mobile App Pentesting Foundations fundamentals
  • Execute hands-on tasks for what is mobile app pentesting?
  • Execute hands-on tasks for core testing pillars — covering mobile apps for security weaknesses, Static analysis of app binaries.
  • Execute hands-on tasks for testing lifecycle flow — covering Recon > Static > Dynamic > Network > Auth > Logic > Report.
  • Execute hands-on tasks for auth & crypto
  • Execute hands-on tasks for network security — covering Reverse engineering, Secure key storage, TLS configuration audit.
  • Execute hands-on tasks for mastg vs legacy mstg — covering MASTG replaces the legacy MSTG framework.
  • Execute hands-on tasks for mobile threat landscape
  • Execute hands-on tasks for security checks
  • Execute hands-on tasks for use insecure
📚 Course Outline
Module 01Mobile Application
Module 02Penetration Testing
Module 03Mobile App Pentesting Foundations
Module 04What Is Mobile App Pentesting?
Module 05Core Testing Pillars
Module 06Testing Lifecycle Flow
Module 07Auth & Crypto
Module 08Network Security
Module 09MASTG vs Legacy MSTG
Module 10Mobile Threat Landscape
Module 11Security Checks
Module 12Use Insecure
Module 13Data Storage
Module 14Weak Transport
🧪 Lab Details

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

  • Lab 1: Execute hands-on tasks for mobile application
  • Lab 2: Execute hands-on tasks for penetration testing
  • Lab 3: Explain Mobile App Pentesting Foundations fundamentals
  • Lab 4: Execute hands-on tasks for what is mobile app pentesting?
  • Lab 5: Execute hands-on tasks for core testing pillars
📊 Skill Level
Intermediate
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 Application Penetration Testing, 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