Malware Analysis Questions Long
There are several methods used to analyze mobile malware, each with its own advantages and limitations. Some of the commonly used methods are:
1. Static Analysis: This method involves examining the malware without executing it. It includes analyzing the code, file structure, permissions requested, and other characteristics of the malware. Static analysis can be performed using tools like disassemblers, decompilers, and hex editors. It helps in identifying malicious behavior, vulnerabilities, and potential indicators of compromise.
2. Dynamic Analysis: This method involves executing the malware in a controlled environment, such as an emulator or a sandbox, to observe its behavior. Dynamic analysis helps in understanding the malware's actions, such as network communication, file system modifications, and interactions with the device's resources. It can be performed using tools like emulators, debuggers, and network analyzers.
3. Behavioral Analysis: This method focuses on observing the malware's behavior on a real device or in a controlled environment. It involves monitoring the malware's actions, such as system calls, API calls, network traffic, and file operations. Behavioral analysis helps in understanding the malware's intentions, capabilities, and potential impact on the device and user's data.
4. Code Analysis: This method involves analyzing the malware's source code or disassembled code to understand its functionality and potential vulnerabilities. Code analysis helps in identifying malicious routines, encryption techniques, obfuscation methods, and potential weaknesses that can be exploited for detection or mitigation.
5. Network Analysis: This method involves monitoring the network traffic generated by the malware to identify communication with command-and-control servers, data exfiltration, or other malicious activities. Network analysis helps in understanding the malware's infrastructure, communication protocols, and potential indicators of compromise.
6. Reverse Engineering: This method involves analyzing the malware's binary code to understand its inner workings, logic, and potential vulnerabilities. Reverse engineering helps in uncovering the malware's functionality, encryption algorithms, anti-analysis techniques, and potential countermeasures.
7. Signature-based Analysis: This method involves comparing the malware's characteristics, such as file hashes, code snippets, or behavioral patterns, with known malware signatures in a database. Signature-based analysis helps in quickly identifying known malware and applying appropriate countermeasures.
8. Heuristic Analysis: This method involves using predefined rules or algorithms to identify potentially malicious behavior or patterns in the malware. Heuristic analysis helps in detecting previously unknown or zero-day malware by analyzing its characteristics and deviations from normal behavior.
It is important to note that no single method can provide a comprehensive analysis of all mobile malware. A combination of these methods, along with continuous research and updates, is necessary to effectively analyze and combat the ever-evolving landscape of mobile malware.