CyberCode Academy

CyberCode Academy

Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

  1. há 14 h

    Course 43 - Practical Malware Development | Episode 1: Building Your Virtual Sandbox

    This episode provides a complete, step-by-step guide to building a practical virtual sandbox using VirtualBox or VMware. The goal is to create isolated and reliable Windows and Linux environments that can be used for software development, testing, and server-side application work.1. Preparing the Virtualization EnvironmentThe episode begins by covering the essential software and installation media required to build the lab: Installing VirtualBox or VMwareObtaining the official Windows 10 ISOObtaining the Ubuntu Linux 18.04 ISOPreparing the host system for virtualizationUnderstanding the basic requirements for running multiple virtual machines2. Creating and Configuring Virtual MachinesNext, the episode walks through the process of creating the virtual machines and configuring their hardware resources.Key configuration topics include: Allocating sufficient RAMAssigning multiple virtual processorsConfiguring virtual storageSelecting the appropriate operating-system typeAdjusting VM settings for better performanceBalancing virtual-machine resources with the host system's available hardwareA practical baseline discussed in the episode is at least 3 GB of RAM and four processors for each environment, depending on the capabilities of the host machine.3. Installing Guest Integration ToolsThe episode then focuses on installing the tools required to improve communication between the host and guest operating systems.For VirtualBox, this involves Guest Additions, while VMware uses VMware Tools.These components provide useful integration features such as: Full-screen supportShared clipboard functionalityDrag-and-drop integrationImproved display and input supportBetter interaction between the host and guest systems4. Troubleshooting Tool InstallationInstalling these components is not always straightforward, so the episode also addresses common configuration problems.The walkthrough covers situations such as: Installation options appearing disabled or unavailableMounting the appropriate installation mediaExtracting installation packages on UbuntuUsing the Linux terminalExecuting installation commands with appropriate superuser privilegesTroubleshooting integration-tool installation problems5. Final Virtual SandboxBy the end of the episode, the lab contains two functional virtual environments:Windows 10 Environment Suitable for Windows application development and testingConfigured with appropriate CPU and memory resourcesEnhanced with virtualization integration toolsUbuntu Linux Environment Optimized for server-side web application developmentConfigured for practical development and testing tasksIntegrated with the host system through VMware Tools or Guest AdditionsKey TakeawaysAfter completing this episode, learners should understand how to: Build a virtual sandbox from scratchCreate and configure Windows and Linux virtual machinesAllocate CPU and memory resources effectivelyInstall Guest Additions and VMware ToolsEnable host-to-guest integration featuresTroubleshoot common virtualization-tool installation issuesPrepare isolated environments for development and testingThe result is a flexible virtualization laboratory that can serve as the foundation for future development, testing, cybersecurity, and server-side application exercises. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 43 - Practical Malware Development | Episode 1: Building Your Virtual Sandbox
  2. há 1 dia

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 15: iOS and Android Case Studies and Reporting

    This module provides a hands-on exploration of mobile malware analysis through two distinct case studies, one for iOS and one for Android, designed to let you work independently to uncover the functionality of malicious programs. The episode is structured into the following key components: 1. iOS Case Study: Corporate Security Assessment The first scenario involves a corporate iPhone reported for "acting weird". As a security analyst, your goal is to:Assess the Risk: Determine if the corporate network is at risk or if company policies were violated.Analyze Functionality: Use techniques like running strings or Mob SF (especially if you lack a Mac or iDevice) to uncover what the application is doing.Structured Reporting: Create a report including a cover page, executive summary, and detailed sections for static, dynamic, and network analysis.2. Android Case Study: The "Free" App Investigation The second scenario focuses on a "free" version of a paid Pokemon Go application that is unexpectedly consuming a user's entire data plan. You are tasked with:Investigating Data Usage: Uncover why the app is depleting data so rapidly.Avoiding Online Tools: The exercise encourages staying away from automated online analysis to practice manual techniques.Documentation: Provide a written report for the "client" that includes the same core analysis sections (static, dynamic, and network).3. Reporting and Documentation Standards A major focus of this episode is the professional documentation of findings. The sources provide a template for a successful report, which should include:High-Level Overviews: Title pages, tables of contents, and executive summaries for non-technical stakeholders.Technical Deep Dives: Detailed results from debugging, static analysis (such as mutexes or registry keys), and network traffic monitoring.Comparative Learning: After completing your analysis, you are encouraged to compare your findings and report format against provided examples to evaluate your performance. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 15: iOS and Android Case Studies and Reporting
  3. há 2 dias

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 14: Architecture and Essential Toolkits

    This episode provides a comprehensive guide to designing and equipping a professional mobile malware analysis lab, with a focus on building a secure, repeatable, and well-instrumented environment for both iOS and Android research.1. Lab Design and InfrastructureThe episode begins by emphasizing that a professional malware lab requires more than simply running a few virtual machines. Researchers must carefully plan the environment around security, isolation, performance, and repeatability.Key considerations include:Network Architecture: Building isolated networks that prevent malware from reaching corporate or personal systems while still allowing controlled observation of malicious network traffic.Hardware Requirements: Allocating sufficient CPU, RAM, and storage to support multiple virtual machines, analysis tools, memory captures, and large malware samples.Operating Systems: Selecting appropriate host and guest operating systems for the platforms being investigated.Physical Devices: Maintaining real iOS and Android devices when necessary, since certain behaviors cannot be accurately reproduced through virtualization alone.Snapshots and Gold Images: Creating clean baseline environments that can quickly be restored after malware execution.Documentation: Recording network configurations, hardware specifications, installed tools, and experimental changes to make investigations reproducible.2. iOS Analysis ToolkitThe episode then introduces the major tools used throughout an iOS malware-analysis workflow.For static analysis, researchers can use:Hopper for disassembly and reverse engineering.MobSF for automated mobile application security analysis.Additional utilities for inspecting application packages, binaries, metadata, and embedded resources.For dynamic analysis, the toolkit includes:LLDB for debugging and inspecting running processes.Needle for iOS security assessment and runtime analysis.Cydia Impactor and AppSync for application installation and sideloading in appropriate research environments.Together, these tools allow analysts to progress from examining an application's structure and binary code to observing its behavior during execution.3. Android Analysis ToolkitThe Android toolkit follows a similar static-to-dynamic methodology.Static analysis includes tools such as:Android Guard for examining and transforming Android applications.JEB for advanced reverse engineering and decompilation.MobSF for automated security analysis.For dynamic analysis, the episode highlights:Droser for interacting with Android application components at runtime.FSmon for monitoring filesystem activity.Volatility for memory-forensics investigations when memory artifacts are relevant.This combination allows researchers to correlate application code with its actual runtime behavior.4. Network Analysis and Cross-Platform ToolsBecause mobile malware frequently communicates with external infrastructure, network visibility is another fundamental part of the laboratory.The episode highlights:Burp Suite for intercepting and analyzing HTTP/HTTPS traffic.Wireshark for packet-level network analysis.Charles Proxy for monitoring and debugging application traffic.These tools help researchers identify C2 infrastructure, suspicious domains, unusual requests, transmitted data, and network-based indicators of compromise.5. The Complete Analysis WorkflowThe most important takeaway is that the laboratory should function as an integrated ecosystem rather than a collection of unrelated tools:Sample → Static Analysis → Dynamic Execution → Runtime Monitoring → Network Analysis → Memory Analysis → IOC Extraction → ReportingThe goal is to correlate evidence from multiple sources. For example, a suspicious domain discovered during static analysis can later be confirmed through network captures, while a suspicious function identified in a binary can be correlated with the process and filesystem activity observed during execution.Ultimately, the episode provides a practical roadmap for building a secure, scalable, and professional mobile malware-analysis environment capable of supporting repeatable investigations across both iOS and Android. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 14: Architecture and Essential Toolkits
  4. há 3 dias

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 13: Designing and Architecting a Scalable Mobile Malware Analysis Lab

    This episode focuses on designing a professional, scalable, and repeatable mobile malware analysis laboratory, moving beyond a simple virtual-machine setup toward an environment suitable for long-term security research.1. Strategic Lab PlanningBefore building the lab, analysts should define its purpose and scope:Determine whether the environment will be air-gapped, isolated, or internet-connected.Identify the platforms that will be analyzed, such as Android, iOS, Windows, or macOS.Design the environment around the types of malware and investigations it will support.2. Network Architecture and IsolationA major focus is creating a dedicated “dirty network” that is completely separated from corporate or personal resources.The lab should provide:Trusted and untrusted network segments to control malware traffic.Strong isolation to prevent malware from reaching production systems.Controlled internet access when required for behavioral analysis.Consideration for mobile-specific behavior, since some malware behaves differently over Wi-Fi, cellular networks, or specific SIM configurations.Fake or controlled internet services when direct internet access is unnecessary or dangerous.The fundamental principle is simple: assume the malware will attempt to escape the laboratory.3. Hardware and Operating System SelectionThe lab must have sufficient resources to run multiple virtual machines and analysis tools efficiently.Important considerations include:Adequate CPU and RAM allocation.Physical Android and iOS devices when authentic device behavior is required.Using an operating system that reduces the risk associated with the malware being analyzed—for example, analyzing malware targeting one platform from a different platform when practical.Maintaining dedicated hardware that is not connected to sensitive networks.4. Tooling and AutomationThe course recommends beginning with security-focused distributions such as Kali Linux or REMnux, which provide many forensic and malware-analysis tools out of the box.A professional lab should combine:Static analysis tools.Dynamic analysis frameworks.Network-monitoring tools.Debuggers and reverse-engineering utilities.Mobile-specific analysis frameworks.Automated installation and configuration processes.New tools should first be tested in an isolated environment before being introduced into the primary research infrastructure.5. Documentation and RepeatabilityOne of the strongest operational lessons is the “3Ds” principle: Document, Document, Document.Analysts should maintain detailed records of:Network topology and IP ranges.Virtual-machine configurations.Hardware specifications.Installed tools and versions.Device configurations.Analysis procedures.Changes made to the environment.This documentation makes the laboratory repeatable, troubleshootable, and easier to rebuild after a failure.6. Snapshots and Gold ImagesVirtualization provides another important advantage: the ability to return systems to a known-clean state.Analysts should maintain a gold image containing a properly configured analysis environment and use VM snapshots before executing suspicious samples.If malware compromises the VM, the analyst can discard the infected state and restore the clean snapshot rather than rebuilding the environment from scratch.7. Core TakeawayThe episode's central lesson is that a malware lab should not simply be a collection of tools and virtual machines. It should be an engineered security environment designed around:Isolation → Control → Repeatability → Documentation → AutomationA professional malware-analysis laboratory allows researchers to safely reproduce malicious behavior, capture network and system artifacts, compare results across experiments, and rapidly return to a trusted baseline after infection. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 13: Designing and Architecting a Scalable Mobile Malware Analysis Lab
  5. há 4 dias

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 12: Dynamic Analysis Tools, Techniques, and Assessment

    This episode covers dynamic analysis of Android applications, with a strong emphasis on runtime interaction, monitoring, and debugging.1. Android Dynamic Analysis with DrozerThe episode introduces Drozer, an Android security assessment framework that allows researchers to interact with application components while they are running.Key capabilities include:Establishing communication between the analysis machine and Android device using ADB port forwarding.Enumerating installed packages and examining metadata such as permissions, UIDs, and package information.Identifying potentially exposed attack surfaces, including:Exported ActivitiesBroadcast ReceiversContent ProvidersInteracting directly with application components to observe their runtime behavior.This makes Drozer particularly useful for discovering insecurely exposed Android components that may not be obvious through static analysis alone.2. Runtime File-System MonitoringThe episode introduces FSmon for monitoring file-system activity in real time.Researchers can observe:Files being created or modified.Files being deleted.Changes occurring while an application executes.System-level activity associated with suspicious behavior.The collected information can then be analyzed to determine how an application interacts with the underlying operating system.3. Network MonitoringNetwork behavior is investigated using TCPDump.The general workflow is:Android Device → TCPDump → PCAP → WiresharkCapturing traffic allows analysts to investigate:Remote connections.Destination IP addresses.DNS activity.HTTP/HTTPS communications.Potential command-and-control infrastructure.Data transmitted by the application.Network analysis is particularly valuable when static analysis reveals suspicious URLs or networking functions but does not establish exactly when or why those connections occur.4. Debugging and InstrumentationThe episode also introduces several debugging approaches:GDB for remote debugging sessions.Android Studio for Java-level debugging.Anbug as an additional Android debugging tool.Debugging provides a deeper level of visibility than simple behavioral monitoring because analysts can inspect program execution and investigate what happens at specific points during runtime.5. Connecting Android and iOS AnalysisThe knowledge check reinforces that the same fundamental methodology applies across both platforms:Static Analysis → Hypothesis → Dynamic Analysis → Observation → ConfirmationFor iOS, important concepts include:UIApplicationMainThe five application lifecycle states.Method swizzling for modifying or intercepting method behavior during runtime analysis.For Android, the focus is on ADB, particularly commands used to:Install applications.Communicate with devices.Forward ports for remote analysis and debugging.Overall TakeawayThe major lesson is that static and dynamic analysis are complementary rather than competing approaches.Static analysis tells you:“What could this application do?”Dynamic analysis tells you:“What does this application actually do?”By combining component enumeration, filesystem monitoring, network capture, debugging, and static inspection, an analyst can move from an initial suspicion to a much stronger, evidence-based understanding of a mobile application's behavior. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 12: Dynamic Analysis Tools, Techniques, and Assessment
  6. há 5 dias

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 11: Dynamic Analysis for iOS and Android

    Dynamic Mobile Malware Analysis — iOS and AndroidThis episode expands dynamic malware analysis beyond basic runtime observation and introduces process instrumentation, debugging, network capture, and automated mobile-security frameworks across both iOS and Android.The central idea is:Static analysis tells you what a sample may be capable of; dynamic analysis shows what it actually does when executed.1. iOS Dynamic AnalysisThe iOS portion focuses on three major capabilities:Runtime instrumentation with CycriptLow-level debugging with LLDBNetwork monitoring with tcpdump + Wireshark2. Process Injection with CycriptCycript allows researchers to interact with a running iOS process and inspect or manipulate Objective-C objects at runtime.Conceptually:Running Application ↓ Cycript ↓ Attach / Inject ↓ Inspect Runtime Objects ↓ Modify Properties / Invoke Methods ↓ Observe Application Response For example, an analyst can investigate UI objects and modify properties while the application is running.This is useful because it allows researchers to test hypotheses without modifying the original application binary.Possible observations include:UI changesMethod executionObject propertiesRuntime stateApplication responses to manipulated conditions3. Runtime InstrumentationThe important concept is instrumentation.Instead of simply watching the application externally, the analyst gains visibility into the application's internal runtime environment.This can help answer questions such as:Which method is being called?What arguments are being passed?Which objects are created?What happens after a specific condition is satisfied?Does the application execute hidden functionality?This makes runtime instrumentation particularly useful when static analysis identifies an interesting function but its actual behavior remains unclear.4. LLDB and Remote DebuggingThe episode then introduces LLDB, a powerful debugger used for low-level inspection.In a controlled research environment, LLDB can allow an analyst to examine:RegistersMemoryInstructionsBreakpointsProgram executionFunction addressesThis provides a significantly deeper level of visibility than high-level instrumentation.5. ASLR and Address CalculationA major challenge during binary debugging is Address Space Layout Randomization (ASLR).ASLR changes where executable components are loaded into memory.Conceptually:Static Binary Address + Runtime ASLR Slide ↓ Actual Runtime Address Therefore, an analyst may need to determine the ASLR slide before translating an address observed during static analysis into the corresponding address in the running process.This is particularly important when setting breakpoints on specific functions.6. Network Monitoring with tcpdumpDynamic analysis isn't limited to the application's process.Network behavior is often one of the strongest sources of evidence.On a controlled research device, tcpdump can capture network traffic into a PCAP file.Conceptually:iOS Malware ↓ Network Activity ↓ tcpdump ↓ PCAP ↓ Wireshark ↓ Traffic Analysis Wireshark can then help identify:Destination IP addressesDNS queriesConnection patternsProtocolsHTTP trafficSuspicious infrastructureIf traffic is unencrypted, analysts may also be able to inspect transmitted content directly.7. Android Dynamic AnalysisThe Android portion focuses heavily on creating a controlled laboratory environment.The primary components are:MobSFAndroid StudioAndroid Virtual DevicesADB8. MobSF — Automated Mobile AnalysisMobile Security Framework (MobSF) provides automated analysis capabilities for mobile applications.For an APK, it can quickly identify artifacts such as:Dangerous permissionsEmbedded URLsSuspicious stringsApplication componentsSecurity weaknessesPotential indicators of compromiseThis makes MobSF useful for initial triage.However, automated findings should be treated as leads rather than definitive conclusions.A useful workflow is:APK ↓ MobSF ↓ Automated Findings ↓ Interesting Indicators ↓ Manual Static Analysis ↓ Dynamic Analysis 9. Android Virtual DevicesAndroid Studio's Android Virtual Device (AVD) system allows researchers to create isolated Android environments for testing.A malware-analysis environment should be separated from:Personal devicesProduction systemsCorporate networksSensitive accountsImportant filesThe purpose is to reduce the consequences of accidental malware execution.10. Android Debug Bridge — ADBADB is one of the most important tools in Android security research.It provides a command-line interface for communicating with an Android device or emulator.Conceptually:Analyst ↓ ADB ↓ Android Device / Emulator ↓ Application / Files / Processes ADB can be used for tasks such as:Installing APKsRemoving applicationsAccessing a shellTransferring filesCollecting logsInspecting the deviceDebugging applicationsFor example:adb devices can verify that an Android device or emulator is available.An APK can be installed in a controlled lab with:adb install sample.apk 11. Root AccessThe episode also discusses obtaining elevated privileges in an Android research environment.Root access can provide significantly greater visibility into:Application dataSystem filesProcessesRuntime informationProtected directoriesHowever, root should be treated as a research capability, not something that should automatically be enabled on production devices.12. Combining Static and Dynamic AnalysisThe most important lesson from the episode is that static and dynamic analysis complement each other.Static AnalysisAnswers:What can this application potentially do?You investigate:ManifestPermissionsStringsClassesFunctionsURLsLibrariesConfigurationDynamic AnalysisAnswers:What does the application actually do?You observe:Runtime behaviorProcess activityNetwork trafficFile modificationsAPI/function executionSystem changes13. Complete Mobile Malware WorkflowThe techniques from the entire module can be combined into one investigation pipeline: Malware Sample │ ▼ Initial Triage │ ┌────────┴────────┐ ▼ ▼ iOS Android │ │ ▼ ▼ IPA / Mach-O APK / DEX │ │ ▼ ▼ Static Analysis Static Analysis │ │ └────────┬────────┘ ▼ Behavioral Hypothesis │ ▼ Isolated Lab │ ┌────────┴────────┐ ▼ ▼ iOS Android │ │ Cycript / LLDB ADB / MobSF │ │ tcpdump / PCAP Runtime Logs │ │ └────────┬────────┘ ▼ Network Analysis │ ▼ Behavioral Evidence │ ▼ Final Assessment Key TakeawaysCycript provides runtime interaction and instrumentation capabilities on jailbroken iOS devices.LLDB enables low-level debugging and memory/instruction inspection.ASLR must be considered when translating static addresses into runtime addresses.tcpdump can capture network traffic for subsequent PCAP analysis.Wireshark helps investigate captured communications and identify suspicious infrastructure.MobSF provides valuable automated Android security triage.AVDs provide controlled Android environments for research.ADB is the fundamental command-line interface for interacting with Android devices and emulators.Root access can provide deeper visibility during controlled Android research.Dynamic analysis becomes much more powerful when guided by observations from static analysis.Golden ConceptThe strongest mobile malware investigations use a feedback loop: static analysis generates hypotheses, dynamic analysis tests those hypotheses, and the resulting runtime evidence guides the next round of static investigation. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 11: Dynamic Analysis for iOS and Android
  7. há 6 dias

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 10: The Essentials of Dynamic Analysis

    Dynamic iOS Malware Analysis — Key TakeawaysApplication Entry PointThe standard entry point for an iOS application is UIApplicationMain.It initializes the application runtime and connects the application to its App Delegate, which manages important lifecycle events.Method SwizzlingMethod swizzling allows an analyst to intercept or replace a class method at runtime.In a controlled malware-analysis environment, you can hook a method responsible for a network/environment check and alter its behavior so the application follows a different execution path.This can help determine what the malware would do if the expected condition were satisfied.LanguagesObjective-C is particularly important because iOS runtime behavior and method dispatch are heavily based on Objective-C's runtime.JavaScript is useful when working with Cycript to interact with and manipulate the running process.Overall WorkflowStatic Analysis → Identify Interesting Method → Run in Isolated/Jailbroken Lab → Attach with Cycript → Hook/Swizzle Method → Observe Behavior → Document Network/File/System ChangesThe important conceptual transition here is that static analysis tells you what the application appears capable of doing, while dynamic analysis lets you observe what it actually does at runtime. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 10: The Essentials of Dynamic Analysis
  8. 5 de set.

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 9: Mastering Basic Static Analysis for Mobile Malware

    Mobile Malware Static Analysis — Module ConclusionThis episode serves as a knowledge check and consolidation of the basic static-analysis methodology covered across both iOS and Android. The emphasis is not on learning one particular tool, but on developing a repeatable investigation process.1. iOS Static AnalysisSeveral important tools and artifacts are reinforced.class-dumpUsed primarily to extract and inspect Objective-C class information from compiled iOS binaries.It can help reveal:ClassesMethodsInterfacesApplication structureThis gives the analyst an initial picture of how an application is organized.otoolA versatile Mach-O inspection utility.For example:otool -L application can display the application's linked dynamic libraries.Other otool options can provide additional information about the Mach-O binary, making it an important first-stage reverse-engineering tool.2. Finding the iOS ExecutableThe Info.plist contains important application metadata.One useful investigation task is determining the executable associated with the application.Conceptually:IPA ↓ Payload/ ↓ Application.app/ ↓ Info.plist ↓ CFBundleExecutable ↓ Executable Name The CFBundleExecutable value identifies the main executable associated with the application bundle.3. Android Static AnalysisOn Android, the equivalent early-stage artifact is the AndroidManifest.xml.apktool is commonly used to decode an APK so that its manifest and resources can be examined.For example:apktool d application.apk -o decoded_app The resulting manifest can reveal:ActivitiesServicesBroadcast receiversContent providersPermissionsIntent filters4. Intent FiltersA particularly important Android concept is the intent-filter.Intent filters describe the types of intents that an Android component can respond to.For example, a receiver may declare an intent associated with a particular system event.This makes intent filters useful during malware analysis because they help answer:What events is this application designed to react to?For example:Intent ↓ Matching Intent Filter ↓ Android Component ↓ Application Logic This is especially important when investigating applications that react automatically to events such as incoming messages, boot events, connectivity changes, or other system broadcasts.5. The Structured Malware-Analysis MethodologyOne of the most important lessons from the entire module is that malware analysis should follow a structured methodology rather than randomly examining files and tools.A strong workflow is:1. Define the objective ↓ 2. Preserve the sample ↓ 3. Calculate hashes ↓ 4. Search online intelligence resources ↓ 5. Identify platform and file type ↓ 6. Examine metadata ↓ 7. Analyze permissions / capabilities ↓ 8. Inspect code and binaries ↓ 9. Identify suspicious artifacts ↓ 10. Build a behavioral hypothesis ↓ 11. Validate through deeper analysis Why define the objective first?Without a specific objective, malware analysis can become extremely inefficient.For example, different questions require different investigations:What does this application do?Does it communicate with a C2 server?Does it steal SMS messages?What persistence mechanism does it use?What information does it collect?The objective determines which artifacts deserve priority.6. Hashing as an Early Triage TechniqueHashing provides a convenient way to identify a malware sample.Common hashes include:md5sum sample.apk sha256sum sample.apk The hash can then be searched in authorized threat-intelligence databases.This can potentially reveal:Previous detectionsMalware family classificationsExisting researchKnown indicatorsPrevious submissionsHowever:No detection does not equal no malware.A previously unseen sample may have no reputation whatsoever.7. Using Online ResourcesOnline intelligence sources can significantly accelerate analysis.Instead of spending hours investigating an artifact that has already been studied, researchers can search existing intelligence for:File hashesDomainsIP addressesURLsMalware familiesKnown samplesDecompiled artifactsThe important skill is knowing when to leverage existing intelligence and when to perform your own analysis.8. iOS vs. Android — Quick ComparisonAreaiOSAndroidApplication packageIPAAPKMain metadataInfo.plistAndroidManifest.xmlExecutableMach-ODEX/native librariesKey toolotoolapktoolClass inspectionclass-dumpDEX decompilersComponent analysisApp metadata/runtimeActivities, Services, Receivers, ProvidersEvent handlingiOS frameworksIntent / Intent FilterPrimary static-analysis goalUnderstand binary structureUnderstand package structure and application logic9. The Bigger PictureThe module has essentially established a complete basic static-analysis foundation for both mobile platforms.iOSIPA ↓ Info.plist ↓ Executable ↓ Mach-O Analysis ↓ class-dump / otool ↓ Strings / Symbols / Libraries ↓ Behavioral Hypothesis AndroidAPK ↓ AndroidManifest.xml ↓ Permissions / Components ↓ Intent Filters ↓ DEX ↓ Decompilation ↓ Application Logic ↓ Behavioral Hypothesis The two platforms use different technologies, but the investigative mindset remains the same.Key Takeawaysclass-dump → useful for examining Objective-C class information in iOS binaries.otool → useful for inspecting Mach-O binaries and linked libraries.Info.plist → contains important iOS application metadata, including the executable name.apktool → decodes Android APK resources and manifests for analysis.AndroidManifest.xml → reveals permissions and application components.intent-filter → identifies the types of intents to which Android components can respond.Hashing → provides an efficient method for sample identification and threat-intelligence searches.Online intelligence → can accelerate investigations by providing existing knowledge about samples and indicators.Clearly defined objectives → keep malware investigations focused and efficient.Golden ConceptGood malware analysis is not simply knowing how to use forensic and reverse-engineering tools. It is knowing what question you are trying to answer, which evidence can answer it, and how to systematically connect that evidence into a defensible behavioral hypothesis. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    Course 42 - Mobile Malware Analysis Fundamentals | Episode 9: Mastering Basic Static Analysis for Mobile Malware

Sobre

Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

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