Mobile App Dynamic Analysis
Stock Status:
500 pcs
Delivery Status: 1-3 days
Description
What is it?
Mobile app dynamic analysis is a security testing technique that examines an app's behavior while it is running, either on a real device or an emulator. It helps uncover vulnerabilities and security issues that might only become apparent during execution, such as memory leaks, insecure data handling,
Technical Data
| How to do it? | |
|---|---|
| Set up Environment | Prepare a testing environment with real devices or emulators representing your target platforms (Android, iOS). |
| Ensure necessary debugging tools and frameworks are installed. | |
| Instrument the App (Optional) | If deeper analysis is needed, you might instrument the app's code with additional logging or hooks to track sensitive operations or data flows. |
| Run and Interact | Execute the app and interact with it as a user would, performing various actions and scenarios. |
| Monitor & Analyze | Use tools to monitor the app's behavior, including: |
| Network Traffic | Capture and analyze network requests and responses to identify sensitive data leaks, insecure communication protocols, or API vulnerabilities. |
| File System Access | Track how the app interacts with files on the device, including storage of sensitive data, potential data leakage points, or unauthorized access. |
| Memory Usage | Monitor memory allocations and deallocations to detect memory leaks or potential vulnerabilities related to memory management. |
| System Calls & Logs | Analyze system calls and logs to uncover unusual behavior, unauthorized access attempts, or other security issues. |
| Identify Vulnerabilities | Look for evidence of security flaws like: |
| Insecure data storage | Sensitive data stored in cleartext or unprotected locations. |
| Insecure network communication | Lack of encryption or weak authentication in network interactions. |
| Client-side injection vulnerabilities | Issues like XSS or JavaScript injection that could allow malicious code execution. |
| Runtime errors and exceptions | Unexpected crashes or errors that could be exploited by attackers. |
| Remediate & Verify | Address identified issues by improving security practices, fixing code, or hardening configurations. Re-test to ensure fixes are effective and no new issues arise. |
| Software Used | |
| Debugging & Instrumentation Tools | |
| Android Studio & ADB (Android Debug Bridge) | For Android app debugging and analysis. |
| Xcode & Instruments | For iOS app debugging and performance analysis. |
| Frida | Dynamic instrumentation toolkit for various platforms, allowing code injection and behavior modification at runtime. |
| Network Traffic Analysis Tools | |
| Wireshark | Packet capture and analysis tool to inspect network traffic. |
| Burp Suite | Intercept and modify HTTP/HTTPS traffic for web app testing. |
| OWASP ZAP | Web application security scanner with dynamic analysis capabilities. |
| Memory Analysis Tools | |
| Valgrind (Android) | Memory debugging and analysis tool for native code. |
| Instruments (iOS) | Memory profiling tool for iOS apps. |
| Standards for Testing | |
| OWASP Mobile Application Security Verification Standard (MASVS) | Provides comprehensive requirements for mobile app security, including dynamic analysis considerations. |
| OWASP Mobile Top 10 | Focuses on the most critical security risks for mobile applications. |
| NIST Mobile Application Security Testing Guide | Offers detailed guidance on dynamic analysis techniques and tools. |
| PCI Mobile Payment Acceptance Security Guidelines | If your app handles payment data, these guidelines are essential for compliance. |
| Platform-Specific Guidelines | |
| Android Developer Security Best Practices | Google's recommendations for secure Android app development. |
| Apple's App Store Review Guidelines | Security requirements that iOS apps must meet. |
| Key Points | |
| Strengths of Dynamic Analysis | |
| Can identify vulnerabilities that only manifest at runtime. | |
| Effective for detecting issues related to data handling, network communication, and memory usage. | |
| Complements static analysis to provide a more comprehensive security assessment. | |
| Limitations | |
| Requires more time and resources compared to static analysis. | |
| May not cover all possible execution paths or edge cases. | |
| Instrumenting code might impact performance or introduce unintended behavior. | |
