Training Course on Mobile Malware Analysis (Android and iOS)

Course Title: Training Course on Mobile Malware Analysis (Android and iOS)

Executive Summary

This intensive two-week course equips cybersecurity professionals with the knowledge and skills to analyze mobile malware targeting Android and iOS platforms. Participants will learn static and dynamic analysis techniques, reverse engineering principles, and malware detection methodologies specific to mobile environments. The course covers practical aspects such as setting up a mobile security lab, dissecting malware samples, and understanding mobile operating system internals. Emphasizing hands-on experience, attendees will analyze real-world malware, develop detection signatures, and learn mitigation strategies. By the end of the course, participants will be proficient in identifying, analyzing, and responding to mobile malware threats, enhancing their organization’s mobile security posture and incident response capabilities. The training blends theoretical foundations with practical application, ensuring immediate relevance and impact.

Introduction

Mobile devices have become a primary target for malware, necessitating specialized analysis skills to combat these threats. Android and iOS, the dominant mobile operating systems, each present unique security challenges. This course provides a comprehensive exploration of mobile malware analysis, covering both Android and iOS platforms. Participants will gain a deep understanding of mobile operating system architectures, application security models, and common malware techniques. The curriculum balances theoretical knowledge with practical hands-on exercises, allowing participants to develop essential skills in static analysis, dynamic analysis, reverse engineering, and malware detection. By dissecting real-world malware samples and learning to identify malicious code and behaviors, participants will enhance their ability to protect mobile devices and networks from evolving threats. This course empowers cybersecurity professionals to stay ahead in the mobile threat landscape and contribute effectively to incident response and malware mitigation efforts.

Course Outcomes

• Set up and configure a mobile malware analysis lab.
• Perform static and dynamic analysis of Android and iOS malware.
• Reverse engineer mobile malware to understand its functionality.
• Identify common mobile malware techniques and evasion strategies.
• Develop signatures and detection methods for mobile malware.
• Understand mobile operating system security models and vulnerabilities.
• Implement mitigation strategies to protect against mobile malware threats.

Training Methodologies

• Interactive lectures and discussions.
• Hands-on lab exercises with real malware samples.
• Reverse engineering workshops.
• Case study analysis of recent mobile malware incidents.
• Group projects and collaborative problem-solving.
• Expert guest lectures from industry professionals.
• Practical demonstrations of malware analysis tools.

Benefits to Participants

• Enhanced skills in mobile malware analysis and reverse engineering.
• Improved ability to identify and respond to mobile security threats.
• Increased knowledge of Android and iOS operating system internals.
• Proficiency in using mobile malware analysis tools.
• Better understanding of mobile malware detection techniques.
• Greater expertise in securing mobile devices and networks.
• Career advancement opportunities in cybersecurity.

Benefits to Sending Organization

• Strengthened mobile security posture.
• Improved incident response capabilities for mobile malware threats.
• Reduced risk of data breaches and financial losses.
• Enhanced ability to protect sensitive information on mobile devices.
• Increased employee awareness of mobile security risks.
• Better compliance with industry regulations and security standards.
• Improved reputation and customer trust.

Target Participants

• Security analysts
• Reverse engineers
• Incident responders
• Mobile application developers
• Security consultants
• System administrators
• IT professionals responsible for mobile security

WEEK 1: Android Malware Analysis Fundamentals

Module 1: Introduction to Mobile Malware

1. Overview of the mobile threat landscape.
2. Android and iOS security architectures.
3. Common types of mobile malware.
4. Malware distribution methods.
5. Mobile malware analysis methodologies.
6. Setting up a mobile security lab (virtual and physical).
7. Ethical considerations and legal frameworks.

Module 2: Android Operating System Internals

1. Android architecture and components.
2. Dalvik Virtual Machine (DVM) and ART.
3. Android application structure (APK).
4. Manifest file analysis.
5. Permissions and security model.
6. Inter-process communication (IPC) mechanisms.
7. Understanding Android system calls.

Module 3: Static Analysis of Android Malware

1. Disassembling and decompiling Android applications.
2. Analyzing Java bytecode.
3. Identifying suspicious API calls.
4. Examining embedded resources.
5. Detecting obfuscation techniques.
6. Using static analysis tools (e.g., Androguard, APKTool).
7. Hands-on lab: Analyzing a simple Android malware sample.

Module 4: Dynamic Analysis of Android Malware

1. Setting up an Android emulator or device for dynamic analysis.
2. Monitoring system calls and network traffic.
3. Using dynamic analysis tools (e.g., Frida, ADB).
4. Debugging Android applications.
5. Analyzing runtime behavior.
6. Identifying malicious activities.
7. Hands-on lab: Analyzing a dynamically loaded Android malware sample.

Module 5: Reverse Engineering Android Malware

1. Introduction to reverse engineering principles.
2. Using reverse engineering tools (e.g., IDA Pro, Ghidra).
3. Analyzing native code (ARM).
4. Understanding control flow and data structures.
5. Identifying cryptographic algorithms.
6. Reconstructing malware functionality.
7. Hands-on lab: Reverse engineering a native Android malware component.

WEEK 2: iOS Malware Analysis and Advanced Techniques

Module 6: iOS Operating System Internals

1. iOS architecture and components.
2. Objective-C and Swift programming languages.
3. iOS application structure (IPA).
4. Code signing and security model.
5. Sandbox environment.
6. Inter-process communication (IPC) mechanisms.
7. Understanding iOS system calls.

Module 7: Static Analysis of iOS Malware

1. Decrypting and unpacking iOS applications.
2. Analyzing Objective-C and Swift code.
3. Identifying suspicious API calls.
4. Examining embedded resources.
5. Detecting jailbreak detection techniques.
6. Using static analysis tools (e.g., Hopper Disassembler).
7. Hands-on lab: Analyzing a simple iOS malware sample.

Module 8: Dynamic Analysis of iOS Malware

1. Setting up an iOS jailbroken device for dynamic analysis.
2. Monitoring system calls and network traffic.
3. Using dynamic analysis tools (e.g., Cycript, Frida).
4. Debugging iOS applications.
5. Analyzing runtime behavior.
6. Identifying malicious activities.
7. Hands-on lab: Analyzing a dynamically loaded iOS malware sample.

Module 9: Advanced Mobile Malware Techniques

1. Code injection techniques.
2. Rooting and jailbreaking exploits.
3. Data exfiltration methods.
4. Command and control (C&C) communication.
5. Persistence mechanisms.
6. Anti-analysis techniques.
7. Hands-on lab: Identifying advanced malware techniques in real-world samples.

Module 10: Mobile Malware Detection and Mitigation

1. Developing malware detection signatures (YARA rules).
2. Using machine learning for malware detection.
3. Implementing mobile threat intelligence.
4. Developing mitigation strategies for mobile malware.
5. Hardening mobile devices and applications.
6. Mobile security best practices.
7. Case study: Analyzing a complex mobile malware campaign and developing a mitigation plan.

Action Plan for Implementation

1. Conduct a mobile security risk assessment within the organization.
2. Implement mobile device management (MDM) and mobile threat defense (MTD) solutions.
3. Develop and enforce mobile security policies and procedures.
4. Provide security awareness training to employees.
5. Establish a mobile incident response plan.
6. Continuously monitor and analyze mobile security threats.
7. Share threat intelligence with industry peers and relevant authorities.