Static and Dynamic Analysis Tools of native compiled applications MCQs
Top 30 multiple-choice questions (MCQs) only focused on the Static and Dynamic Analysis Tools of native compiled applications in the context of web security covering below topics,along with their answers and explanations.
• Introducing tools for static and dynamic analysis of native compiled applications.
• Discussing the use of tools like IDA Pro, Binary Ninja, and GDB.
1. What is the primary goal of static analysis tools in the context of native compiled applications?
- To analyze the runtime behavior of the application
- To identify vulnerabilities and analyze the code without executing it
- To optimize code execution speed
- To compress the injected code
The primary goal of static analysis tools is to identify vulnerabilities and analyze the code without executing it.
2. Which of the following is an example of a static analysis tool used for binary code analysis?
- GDB
- Wireshark
- IDA Pro
- Burp Suite
IDA Pro is an example of a static analysis tool used for binary code analysis.
3. What type of information can static analysis tools provide about native compiled applications?
- Only runtime behavior information
- Only high-level source code
- Both vulnerabilities identification and analysis of the code without executing it
- Only system logs
Static analysis tools can provide both vulnerabilities identification and analysis of the code without executing it.
4. How does IDA Pro contribute to static analysis of native compiled applications?
- By debugging the application
- By providing a dynamic analysis environment
- By disassembling and analyzing binary code
- By compressing the injected code
IDA Pro contributes to static analysis by disassembling and analyzing binary code, offering insights into the application's structure.
5. What is the primary goal of dynamic analysis tools in the context of native compiled applications?
- To analyze the runtime behavior of the application
- To identify vulnerabilities without executing the code
- To optimize code execution speed
- To compress the injected code
The primary goal of dynamic analysis tools is to analyze the runtime behavior of the application during execution.
6. Which of the following is an example of a dynamic analysis tool used for debugging native compiled applications?
- Binary Ninja
- IDA Pro
- GDB
- OllyDbg
GDB (GNU Debugger) is an example of a dynamic analysis tool used for debugging native compiled applications.
7. How does dynamic analysis differ from static analysis in the context of native compiled applications?
- Dynamic analysis focuses on analyzing the code without executing it, while static analysis analyzes runtime behavior.
- Dynamic analysis analyzes the runtime behavior, while static analysis focuses on debugging.
- Static analysis is faster than dynamic analysis.
- Dynamic analysis focuses on analyzing the runtime behavior during execution.
Dynamic analysis focuses on analyzing the runtime behavior during execution, while static analysis analyzes the code without executing it.
8. What type of information can dynamic analysis tools provide about native compiled applications?
- Only vulnerabilities identification
- Only high-level source code
- Both runtime behavior information and vulnerabilities identification
- Only system logs
Dynamic analysis tools can provide both runtime behavior information and vulnerabilities identification during the execution of the application.
9. How does GDB contribute to dynamic analysis of native compiled applications?
- By disassembling binary code
- By providing a dynamic analysis environment
- By analyzing the code without executing it
- By compressing the injected code
GDB contributes to dynamic analysis by providing a dynamic analysis environment for debugging and analyzing the runtime behavior of native compiled applications.
10. Which tool is commonly used for reverse engineering and dynamic analysis of native compiled applications?
- Wireshark
- IDA Pro
- Binary Ninja
- OllyDbg
OllyDbg is commonly used for reverse engineering and dynamic analysis of native compiled applications.
11. What is the primary purpose of Binary Ninja in the context of native compiled applications?
- To optimize code execution speed
- To disassemble binary code for analysis
- To analyze system logs
- To compress the injected code
The primary purpose of Binary Ninja is to disassemble binary code for analysis in the context of native compiled applications.
12. What is the significance of disassembling code in static analysis?
- To analyze the runtime behavior of the application
- To convert high-level source code to binary code
- To identify vulnerabilities and understand the structure of the application
- To compress the injected code
Disassembling code in static analysis is significant for identifying vulnerabilities and understanding the structure of the application through analysis of the binary code.
13. How does dynamic analysis contribute to the identification of runtime vulnerabilities?
- By compressing the injected code
- By analyzing the code without executing it
- By simulating various runtime scenarios to identify potential vulnerabilities
- By focusing on high-level source code analysis
Dynamic analysis contributes to the identification of runtime vulnerabilities by simulating various runtime scenarios to identify potential vulnerabilities during execution.
14. What is the primary advantage of using static analysis tools in the early stages of development?
- To analyze the runtime behavior of the application
- To identify vulnerabilities during code execution
- To optimize code execution speed
- To catch and fix vulnerabilities in the code before deployment
The primary advantage of using static analysis tools in the early stages of development is to catch and fix vulnerabilities in the code before deployment.
15. In dynamic analysis, what does "runtime behavior" refer to?
- The behavior of developers during code writing
- The behavior of the application during execution
- The behavior of system logs
- The behavior of static analysis tools
In dynamic analysis, "runtime behavior" refers to the behavior of the application during execution.
16. How does GDB help in dynamic analysis for debugging native compiled applications?
- By analyzing the code without executing it
- By compressing the injected code
- By providing a dynamic analysis environment for debugging
- By disassembling binary code
GDB helps in dynamic analysis by providing a dynamic analysis environment for debugging native compiled applications.
17. What is the purpose of "runtime behavior analysis" in dynamic analysis tools?
- To enhance code readability
- To optimize code execution speed
- To analyze the code without executing it
- To understand how the application behaves during execution
"Runtime behavior analysis" in dynamic analysis tools is focused on understanding how the application behaves during execution.
18. How can dynamic analysis tools aid in detecting runtime vulnerabilities?
- By compressing the injected code
- By analyzing the code without executing it
- By simulating various runtime scenarios to identify potential vulnerabilities
- By providing high-level source code
Dynamic analysis tools can aid in detecting runtime vulnerabilities by simulating various runtime scenarios to identify potential vulnerabilities during execution.
19. Which tool is commonly used for debugging and dynamic analysis of native compiled applications on Unix-like systems?
- Wireshark
- IDA Pro
- GDB
- Binary Ninja
GDB (GNU Debugger) is commonly used for debugging and dynamic analysis of native compiled applications on Unix-like systems.
20. What is the primary function of OllyDbg in the context of dynamic analysis?
- To analyze system logs
- To compress the injected code
- To disassemble binary code for analysis
- To optimize code execution speed
The primary function of OllyDbg in dynamic analysis is to disassemble binary code for analysis.
21. How does Binary Ninja contribute to binary code analysis in comparison to other tools?
- By optimizing code execution speed
- By disassembling binary code for analysis with a user-friendly interface
- By compressing the injected code
- By analyzing the code without executing it
Binary Ninja contributes to binary code analysis by disassembling binary code for analysis with a user-friendly interface.
22. Which analysis approach involves examining the code without executing it?
- Dynamic analysis
- Behavioral analysis
- Static analysis
- Runtime analysis
Static analysis involves examining the code without executing it.
23. What is the primary limitation of static analysis tools?
- They are unable to identify vulnerabilities
- They cannot analyze the code without executing it
- They may produce false positives or miss certain runtime behaviors
- They cannot analyze the runtime behavior of the application
The primary limitation of static analysis tools is that they may produce false positives or miss certain runtime behaviors.
24. In dynamic analysis, what does the term "runtime" refer to?
- The time taken for static analysis
- The time of code writing
- The time during execution
- The time of system logs generation
In dynamic analysis, the term "runtime" refers to the time during execution of the application.
25. What is the primary benefit of using both static and dynamic analysis tools in combination?
- To compress the injected code
- To provide a dynamic analysis environment
- To achieve a comprehensive understanding of the application's security
- To optimize code execution speed
Using both static and dynamic analysis tools in combination provides a comprehensive understanding of the application's security by addressing vulnerabilities and analyzing runtime behavior.
26. Which tool is commonly used for analyzing network traffic but is not typically used for static or dynamic analysis of compiled applications?
- IDA Pro
- Wireshark
- GDB
- Binary Ninja
Wireshark is commonly used for analyzing network traffic but is not typically used for static or dynamic analysis of compiled applications.
27. How does static analysis aid in identifying vulnerabilities in native compiled applications?
- By compressing the injected code
- By analyzing the code without executing it
- By simulating various runtime scenarios
- By providing high-level source code
Static analysis aids in identifying vulnerabilities in native compiled applications by analyzing the code without executing it, allowing for the detection of potential issues.
28. Which of the following is an advantage of using dynamic analysis tools for debugging?
- Identifying vulnerabilities without executing the code
- Analyzing the code without executing it
- Providing a dynamic analysis environment for debugging
- Compressing the injected code
An advantage of using dynamic analysis tools for debugging is that they provide a dynamic analysis environment for debugging the application during execution.
29. What is the primary challenge of relying solely on dynamic analysis for security testing?
- It cannot identify vulnerabilities
- It may produce false positives or miss certain runtime behaviors
- It cannot analyze the code without executing it
- It cannot optimize code execution speed
The primary challenge of relying solely on dynamic analysis for security testing is that it may produce false positives or miss certain runtime behaviors during execution.
30. How do analysis tools like IDA Pro and Binary Ninja contribute to understanding the structure of native compiled applications?
- By encrypting the entire code
- By providing a user-friendly interface for disassembling and analyzing binary code
- By optimizing code execution speed
- By compressing the injected code
Analysis tools like IDA Pro and Binary Ninja contribute to understanding the structure of native compiled applications by providing a user-friendly interface for disassembling and analyzing binary code.