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Pentesting Methodology

Android pentesting requires a complete, structured, and deeply detailed workflow because mobile applications involve multiple layers such as the operating system, runtime, storage mechanisms, application components, and network communication. A full methodology ensures that every attack surface is evaluated. This chapter covers the entire end-to-end process used by professional mobile pentesters, including preparation, analysis techniques, exploitation workflows, runtime instrumentation, and final reporting.

Pre-Engagement Preparation

Pre-engagement defines the boundaries, tools, environment, and rules for the assessment. A test environment must mimic real-world devices as closely as possible.

A dedicated test setup includes:

  • A physical Android device or emulator

  • USB debugging enabled through developer options

  • ADB configured for communication

  • Root access if in-scope

  • A controlled Wi-Fi network for intercepting traffic

  • Burp Suite or another proxy for traffic inspection

  • Tools such as apktool, JADX, MobSF, Frida, objection, drozer, and mitmproxy

  • A clean environment to avoid prior contamination of logs or memory

Preparing the device allows pentesters to perform deeper inspection through logcat, file system access, runtime hooking, and network interception. Installing necessary certificates for HTTPS interception is also part of initial configuration.

Reconnaissance and Information Gathering

Information gathering provides the blueprint of the application. The APK file is extracted, unpacked, and inspected for metadata. The manifest file reveals critical information including:

  • Package name

  • Permissions

  • Exported components

  • Intent filters

  • Minimum and target SDK

  • Backup settings

  • Debbugable flag

  • Shared user ID configurations

  • Network security configurations

Pentesters also identify third-party libraries, frameworks, analytics SDKs, ad networks, and hardcoded endpoints used by the application. Understanding these elements helps determine where data flows and how the app integrates with external services.

Examining certificates, signatures, and version numbers helps identify potential downgrade or tampering attacks. Recon also includes mapping backend APIs and determining whether the server exposes outdated or misconfigured services.

Static Analysis

Static analysis inspects the application’s structure without running it. The APK is decompiled to analyze source code, resources, stored data, and configuration settings.

Key areas include:

  • Hardcoded API keys

  • Embedded tokens

  • Secrets in strings.xml

  • Credentials inside shared preferences

  • Weak cryptographic implementations

  • Insecure random number generation

  • Hardcoded server URLs

  • Disabled SSL verification

  • Debugging code left in production

  • Exported activities or services

  • Insecure use of WebView

  • JavaScript interfaces exposed to WebView

  • Improper handling of external storage

  • Database schemas and accessible SQLite files

  • Potential command execution from native code

Examining native libraries is essential because vulnerabilities such as buffer overflows often occur in C or C++ code. Reviewing JNI calls helps identify risky operations and trust boundaries between Java/Kotlin and native layers.

Pentesters also evaluate obfuscation. Lack of obfuscation exposes internal logic directly and makes reverse engineering easier.

Dynamic Analysis

Dynamic analysis runs the application on a device or emulator to observe real-time behavior. The objective is to track how the app processes data, communicates with servers, handles user actions, and stores information.

Traffic interception with Burp Suite reveals API endpoints, authentication mechanisms, session tokens, and data formats. Pentesters check whether the app uses HTTPS, certificate pinning, proper TLS configuration, and secure cookie attributes.

Runtime logs from logcat help identify sensitive data leaks, debugging messages, stack traces, and backend information. Monitoring file system activity reveals how and where data is stored, including:

  • Databases

  • Cache folders

  • SharedPreferences

  • Log files

  • Temporary files

  • External storage

Dynamic analysis also examines memory behavior. Using Frida or objection, testers inspect runtime values, hook sensitive functions, and modify parameters.

Instrumentation and Runtime Manipulation

Instrumenting the application provides deeper insight into how it behaves internally. Tools like Frida allow pentesters to hook functions, intercept API calls, bypass client-side checks, and manipulate the execution flow.

Common runtime operations include:

  • Bypassing root detection

  • Removing SSL pinning

  • Modifying function return values

  • Intercepting cryptographic routines

  • Inspecting authorization tokens

  • Observing sensitive variables in memory

  • Capturing decrypted API responses

  • Overriding business logic to test server-side validation

Runtime instrumentation exposes flaws that static analysis cannot detect, such as logic errors, insufficient server validation, or insecure flows triggered only during execution.

Component Testing

Android uses components such as Activities, Services, Broadcast Receivers, and Content Providers. Each component introduces potential vulnerabilities if exposed or misconfigured.

Pentesters focus on:

  • Exported Activities used without authentication

  • Services that accept unauthorized requests

  • Broadcast Receivers vulnerable to spoofed intents

  • Content Providers that leak data or allow modification

  • Incorrect intent handling

  • Privilege escalation through implicit intents

  • Security gaps in deep links

  • Clipboard misuse

  • Unsafe use of PendingIntents

  • Weak foreground service implementations

Tools like drozer help enumerate and exploit misconfigured components.

Reverse Engineering

Reverse engineering reveals internal workings of the application. Decompiled code shows logic that developers intended to keep hidden.

Tasks include:

  • Analyzing smali code when Java is not readable

  • Understanding cryptographic routines

  • Extracting obfuscated strings

  • Identifying hidden features or endpoints

  • Inspecting business rules

  • Finding vulnerabilities inside native binaries

  • Mapping code flow to runtime behavior

  • Creating custom patches to modify application behavior

Reverse engineering also helps validate whether the app uses proprietary algorithms securely or relies on weak custom encryption.

Exploitation

Exploitation demonstrates the impact of identified vulnerabilities. Testing includes:

  • Hijacking unprotected components

  • Bypassing client-side authentication

  • Stealing tokens from insecure storage

  • Capturing sensitive data in transit

  • Escalating privileges via exported services

  • Manipulating WebView to load malicious scripts

  • Exploiting insecure native functions

  • Tampering with network requests

  • Breaking logic by modifying runtime parameters

  • Gaining unauthorized access to paid features

  • Triggering insecure actions via forged intents

The exploitation phase proves what an attacker can achieve in real-world conditions.

Post-Exploitation and Impact Verification

Post-exploitation determines the depth of compromise. Pentesters evaluate:

  • Access to sensitive files

  • Ability to impersonate users

  • Privilege escalation success

  • Extraction of personal or financial data

  • Modifications to internal logic

  • Possibility of executing arbitrary code

  • Long-term persistence methods

  • Access to backend administrative functions

Impact assessment helps prioritize issues based on real harm rather than theoretical risk.

Reporting and Remediation

The final step documents all findings with clear reproduction steps, impact explanations, and recommended fixes. Reports must include:

  • Vulnerability description

  • Technical root cause

  • Affected components

  • Proof of exploitation

  • Mitigation steps

  • Severity classification based on risk

  • References to secure coding practices

  • Mapping to standards such as OWASP MASVS

Clear, actionable reporting ensures developers understand exactly how to resolve every issue.

Intel Dump

  • Pentesting starts with environment preparation and scope definition

  • Information gathering analyzes manifest, metadata, libraries, and endpoints

  • Static analysis inspects APK internals, code, storage, and logic

  • Dynamic analysis monitors traffic, logs, runtime behavior, and storage

  • Instrumentation uses tools like Frida for runtime hooking and manipulation

  • Component testing checks Activities, Services, Receivers, and Providers

  • Reverse engineering reveals internal logic, native code, and hidden behavior

  • Exploitation proves the real-world impact of vulnerabilities

  • Post-exploitation assesses depth of compromise and severity

  • Reporting documents issues with fixes and clear reproduction steps

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