Everything you need to know about Android & iOS pentesting — methodology, tools, vulnerabilities, and how to build real exploitation skills.
Mobile applications handle everything from banking credentials to healthcare records to corporate secrets. Yet most organizations treat mobile security as an afterthought — a checkbox scan before launch, if that.
The result? A growing attack surface that most security teams barely understand.
This guide covers the full mobile application security testing methodology — from reconnaissance to exploitation — for both Android and iOS. Whether you are a security professional expanding into mobile, a developer who wants to understand what attackers actually do, or a pentester building your methodology, this is your reference.
We will go beyond surface-level scanning. You will learn how real vulnerabilities are found and exploited in production mobile applications.
Mobile application security testing is the systematic process of identifying vulnerabilities in mobile applications and their supporting infrastructure. It combines static analysis (examining code and binaries without execution), dynamic analysis (testing the running application), and manual exploitation to uncover weaknesses that automated tools miss.
Unlike web application testing, mobile security testing must account for:
A proper mobile security assessment goes far deeper than running an automated scanner. It requires understanding the platform internals, reverse engineering the application binary, and thinking like an attacker who has full physical access to the device.
Before testing, you need a mental model of what you are attacking. Mobile applications expose a significantly larger attack surface than most teams realize.
| Layer | Components |
|---|---|
| Client Side | App Binary → Local Data Storage, IPC / Intent Handlers, Native Libraries (.so/.dylib), WebView Components, Cryptographic Implementation |
| Transport Layer | API Communication → TLS/Certificate Pinning, Authentication Tokens |
| Server Side | Backend APIs → Server-Side Logic, Database |
| Third Party | SDKs & Libraries, Push Notification Services, Analytics / Ad Networks |
Key attack vectors include:
A structured methodology ensures comprehensive coverage. Here is the process that professional mobile penetration testers follow.
Start by understanding what you are dealing with before touching a debugger.
Static analysis examines the application without running it. This is where reverse engineering skills become essential.
For Android:
jadx or apktoolAndroidManifest.xml for exported components, permissions, and intent filters.so files) for known vulnerable functionsFor iOS:
class-dump or Hopper to analyze Objective-C/Swift binariesInfo.plist for URL schemes, ATS exceptions, and entitlementsWhat to look for:
Go deeper: Static analysis barely scratches the surface when you are just grepping for strings. Real vulnerability discovery requires understanding how the code flows — from user input to dangerous sinks. Mobile Hacking Lab's Android Application Security and iOS Application Security courses walk you through this process on real, vulnerable applications running in pre-configured lab environments.
Dynamic analysis tests the running application. This is where you interact with the app, hook into its runtime, and observe behavior that static analysis cannot reveal.
Runtime Instrumentation with Frida:
Frida is the go-to framework for dynamic instrumentation. It lets you inject JavaScript into running processes to:
Example: Hooking an Android authentication check —
Java.perform(function() {
var AuthManager = Java.use("com.target.app.AuthManager");
AuthManager.validateToken.implementation = function(token) {
console.log("[*] validateToken called with: " + token);
var result = this.validateToken(token);
console.log("[*] validateToken returned: " + result);
return result;
};
});Data Storage Inspection:
While the app is running, examine what it stores on the device:
/data/data// for SQLite databases, shared preferences XML files, and cache directoriesComponent Testing:
adbIntercept and analyze all communication between the app and its backend.
Setting Up Interception:
What to Test:
Test for: IDOR, auth bypass, excessive data exposure, injection, broken access control
This is where testing becomes real security research. Rather than just flagging potential issues, you prove exploitability by chaining vulnerabilities into working attacks.
Common exploitation scenarios:
This phase separates checklist-based testing from genuine vulnerability research. Automated scanners flag potential issues. Skilled researchers prove they are exploitable and demonstrate business impact.
Build real exploitation skills: Mobile Hacking Lab's Android Userland Fuzzing & Exploitation course is the only training program that teaches you to find and exploit memory corruption vulnerabilities in Android native code — from crash discovery through fuzzing to building working exploits. No other training covers this.
A penetration test is only as valuable as its report. Structure your findings with:
Android's open architecture creates unique testing opportunities — and a broader attack surface than iOS.
Android's component model (Activities, Services, Broadcast Receivers, Content Providers) is powerful but dangerous when misconfigured. Any component marked exported="true" — or that declares an intent filter without explicitly setting exported="false" — can be invoked by any app on the device.
Testing approach:
AndroidManifest.xml for all exported componentsAndroid apps frequently store sensitive data insecurely:
allowBackup="true", the entire app data directory can be extracted via adb backupMany Android apps include native libraries (.so files) written in C/C++ for performance-critical operations like cryptography, DRM, or media processing. These introduce classic memory corruption vulnerabilities:
Finding these vulnerabilities requires a different skillset than Java/Kotlin analysis — you need fuzzing infrastructure, binary analysis tools, and exploitation development experience.
Learn Android fuzzing: Fuzzing Android native libraries is one of the most effective — and least understood — techniques in mobile security. Mobile Hacking Lab's Android Userland Fuzzing & Exploitation course teaches you to set up fuzzing harnesses with AFL++ and libFuzzer, triage crashes, perform root cause analysis, and develop working exploits. This is the only course on the market covering this material.
iOS's stricter sandboxing and code signing make some attacks harder — but the platform is far from immune.
iOS provides the Keychain for secure credential storage, but many developers misuse it:
kSecAttrAccessibleAlways)kSecAttrAccessibleWhenPasscodeSetThisDeviceOnly for sensitive itemsiOS apps can register custom URL schemes (myapp://) and Universal Links. Test for:
ATS enforces HTTPS by default in iOS, but many apps add exceptions in Info.plist:
NSAllowsArbitraryLoads: true — disables ATS entirelyEvery ATS exception is a potential weakness. Document them and assess whether they are justified.
Hands-on iOS testing: Mobile Hacking Lab's iOS Application Security course provides pre-configured labs where you practice these techniques on real vulnerable iOS applications — no need to set up your own jailbroken device or build custom test apps.
Here is the professional mobile pentester's toolkit:
| Category | Tool | Purpose |
|---|---|---|
| Reverse Engineering | jadx, Ghidra, Hopper | Decompile and analyze app binaries |
| Dynamic Instrumentation | Frida, Objection | Hook functions, bypass protections at runtime |
| Network Interception | Burp Suite, mitmproxy | Capture and modify API traffic |
| Android Testing | adb, Drozer, apktool | Interact with device and app components |
| iOS Testing | class-dump, Cycript, libimobiledevice | Analyze and instrument iOS apps |
| Fuzzing | AFL++, libFuzzer, Jazzer | Find crashes in native code and Java |
| Static Analysis | MobSF, semgrep, CodeQL | Automated vulnerability scanning |
| Forensics | objection, fridump | Extract data from running processes |
A note on tools vs. skills: Tools are necessary but not sufficient. Running MobSF and submitting its output is not a penetration test — it is an automated scan. The value of a mobile security tester comes from understanding what the tools find, knowing what they miss, and having the exploitation skills to prove real-world impact.
The OWASP Mobile Top 10 is the industry-standard reference for mobile application risks. Here is how each category maps to real testing:
| # | Risk Category | What to Test | Real-World Impact |
|---|---|---|---|
| M1 | Improper Credential Usage | Hardcoded keys, shared secrets, credential storage | Full account takeover, API abuse |
| M2 | Inadequate Supply Chain Security | Third-party SDK vulnerabilities, dependency risks | Data theft via compromised libraries |
| M3 | Insecure Authentication/Authorization | Session management, biometric bypass, privilege escalation | Unauthorized data access |
| M4 | Insufficient Input/Output Validation | Injection, XSS in WebViews, format strings | Code execution, data manipulation |
| M5 | Insecure Communication | TLS config, cert pinning, API security | Man-in-the-middle, credential theft |
| M6 | Inadequate Privacy Controls | Data minimization, consent, PII exposure | Regulatory violations, user tracking |
| M7 | Insufficient Binary Protections | Obfuscation, anti-tampering, root detection | App cloning, credential theft |
| M8 | Security Misconfiguration | Debug flags, exported components, backup settings | Data extraction, privilege escalation |
| M9 | Insecure Data Storage | Plaintext storage, weak encryption, logging | Credential theft, PII exposure |
| M10 | Insufficient Cryptography | Weak algorithms, poor key management, custom crypto | Data decryption, authentication bypass |
Mobile security is one of the fastest-growing specializations in cybersecurity. The demand for skilled mobile pentesters significantly outpaces supply — most security professionals focus on web applications, leaving mobile as an underserved and lucrative niche.
Career paths in mobile security:
Also: App Developer → Mobile Pentester | Mobile Pentester → Security Consultant / Bug Bounty Hunter
How to build your skills:
Accelerate your path: Mobile Hacking Lab provides a structured learning path from application security through advanced exploitation:
All courses include pre-configured lab environments — no hardware setup, no device management. Start exploiting from day one.
Mobile application security testing is the process of identifying security vulnerabilities in mobile applications for Android and iOS. It includes static analysis (reviewing code and binaries), dynamic analysis (testing the running app with tools like Frida), network traffic interception, and manual exploitation to prove real-world attack impact. A thorough assessment covers the OWASP Mobile Top 10 risk categories.
Professional mobile penetration testers use a combination of tools: Frida for dynamic instrumentation and runtime hooking, Burp Suite or mitmproxy for network traffic interception, jadx and Ghidra for reverse engineering, adb and Drozer for Android component testing, AFL++ for native code fuzzing, and MobSF for automated static analysis. The specific toolset depends on the platform and testing scope.
Mobile security testing must account for client-side attack surfaces that do not exist in web applications: local data storage on the device, inter-process communication (Android intents, iOS URL schemes), binary protections and reverse engineering, native code vulnerabilities (memory corruption), and platform-specific security mechanisms like certificate pinning, keychain, and sandboxing. Mobile testers need platform internals knowledge beyond standard web pentesting skills.
The OWASP Mobile Top 10 is an industry-standard classification of the most critical mobile application security risks. The current list covers: improper credential usage, inadequate supply chain security, insecure authentication/authorization, insufficient input validation, insecure communication, inadequate privacy controls, insufficient binary protections, security misconfiguration, insecure data storage, and insufficient cryptography. It serves as a baseline for mobile security assessments.
A thorough mobile application security assessment typically takes 1–3 weeks depending on application complexity, the number of platforms (Android, iOS, or both), and the depth of testing required. A basic automated scan can be completed in hours, but it will miss the majority of vulnerabilities that manual testing and exploitation would find. Budget at least 5 business days for a meaningful assessment of a single platform.
Mobile Hacking Lab offers specialized training tracks including the Android Kernel Fuzzing and Exploitation course, which covers advanced kernel-level security research. Other relevant certifications include GIAC's GMOB and general penetration testing certifications (OSCP, CPTS) that include some mobile content. Mobile Hacking Lab's courses stand out for their exclusive focus on hands-on mobile exploitation rather than multiple-choice theory.
No. Automated tools like MobSF and commercial SAST/DAST scanners catch low-hanging fruit — hardcoded secrets, known vulnerable libraries, basic misconfigurations. But they cannot discover business logic flaws, chain vulnerabilities, bypass custom security controls, or assess the real-world exploitability of findings. The most impactful vulnerabilities in mobile applications are consistently found through manual analysis and creative exploitation. Use automated tools for coverage, but manual testing for depth.
Mobile application fuzzing is an automated testing technique that feeds random or semi-random input to application components to discover crashes and unexpected behavior — particularly in native code (C/C++ libraries). Tools like AFL++ and libFuzzer generate millions of test inputs, and crashes are triaged for security impact (buffer overflows, use-after-free, etc.). Fuzzing is one of the most effective techniques for finding exploitable memory corruption vulnerabilities in Android native libraries. Mobile Hacking Lab's Android Userland Fuzzing & Exploitation course is the only training program that covers this technique.
Ready to move beyond theory? Mobile Hacking Lab provides pre-configured virtual Android and iOS labs where you practice real exploitation techniques — no device setup, no hardware requirements. Start with the free Android or free iOS labs to get hands-on today, or go straight to the Android Kernel Fuzzing and Exploitation course to push into advanced research. Check out current deals for the latest offers.