Mobile Malware Analysis

Android malware analysis uses static analysis to identify suspicious code and permissions, and dynamic analysis to monitor app behavior in a sandbox environment. This process reveals the malware's functionality and potential impact.

Network analysis examines C2 communications in mobile malware by intercepting traffic patterns. Using tools like Burp Suite and tcpdump allows you to capture and inspect the malicious network requests the app sends out.

Extracting sensitive data and IOCs from iOS malware involves reverse engineering the sample to locate credentials and configuration files. This process identifies the specific indicators of compromise and sensitive information targeted by the malware.

Android and iOS reverse engineering requires tools like APKtool, jadx, Frida, Burp Suite, and tcpdump. These dependencies support static decompilation, dynamic instrumentation, and network traffic interception during malware analysis.

Yes, Frida is used for dynamic analysis to monitor app behavior in a sandbox environment. It allows you to hook into the running malware process, trace API calls, and observe its real-time execution without modifying the original codebase.

Static analysis identifies suspicious permissions in APK files by decompiling the Android app using tools like APKtool and jadx. It examines the manifest file and source code to uncover overly broad or malicious permission requests.