MCQs

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1. In cybersecurity, Cuckoo is primarily used for
   a. Static code analysis
   b. Signature-based malware detection
   c. Dynamic malware analysis in a sandbox
   d. Network intrusion prevention
   Answer: c (Cuckoo is an open-source automated malware analysis system that runs files in an isolated environment to observe behaviors) (Medium)
2. Cuckoo Sandbox is an example of what class of tool?
   a. Firewall
   b. Sandbox
   c. Static disassembler
   d. Intrusion detection system
   Answer: b (Medium)
3. Which of the following is a key advantage of using Cuckoo for malware analysis?
   a. It rewrites the malware code
   b. It executes malware in an isolated VM to monitor real behavior
   c. It only extracts static signatures
   d. It prevents the malware from executing at all
   Answer: b (Medium)
4. The severity or threat score assigned by Cuckoo ranges typically from
   a. 0 to 5
   b. 1 to 10
   c. −5 to +5
   d. 0 to 100
   Answer: b (Cuckoo classifies threats and assigns a score from 1 to 10) (cse.unr.edu)
5. What is a known limitation of Cuckoo’s threat scoring method?
   a. It never produces a score
   b. Scores are entirely deterministic and exact
   c. Its scoring is arbitrary and may mislead prioritization
   d. It always underestimates threat levels
   Answer: c (Researchers note that the scoring is somewhat arbitrary and can mislead prioritization) (cse.unr.edu)
6. Which programming language primarily implements the Cuckoo host components?
   a. Java
   b. C++
   c. Python
   d. Go
   Answer: c (Cuckoo components are written in Python) (Medium)
7. Cuckoo often uses which of the following to reset the VM to a clean state after each run?
   a. Docker container restart
   b. Hypervisor snapshot revert
   c. Manual reboot
   d. Code instrumentation rollback
   Answer: b (Cuckoo reverts the virtual machine to a known clean snapshot) (cse.unr.edu)
8. Which of the following file types can Cuckoo analyze?
   a. Windows executables (EXE)
   b. PDF documents
   c. Office documents (macro-enabled)
   d. All of the above
   Answer: d (Cuckoo supports multiple file types including executables, PDFs, Office docs, scripts) (Medium)
9. Cuckoo collects logs of the malware’s execution. Which of these is not typically captured?
   a. Registry modifications
   b. API calls made
   c. Real-time user keystrokes from the host user
   d. Network connections to remote hosts
   Answer: c (Cuckoo captures activities within the sandbox, not real host user inputs outside the sandbox) (Medium)
10. The integration of “YARA rules” in Cuckoo is used for
    a. Behavior emulation
    b. Pattern matching for malware signatures
    c. Network traffic forwarding
    d. VM snapshotting
    Answer: b (YARA rules integration helps identify matches to known patterns) (Quizlet)
11. Which of the following is a common use-case for Cuckoo in incident response?
    a. Live network blocking
    b. Automated behavioral report generation for suspicious files
    c. Real-time firewall rule generation
    d. Static code compilation
    Answer: b (Submit suspicious files to Cuckoo to generate behavioral reports) (ITExamAnswers.net)
12. Cuckoo’s threat scoring relies on signatures contributed by
    a. The vendor only
    b. Community-provided signature sets
    c. Machine learning exclusively
    d. Static code analysis only
    Answer: b (Cuckoo uses community-provided signature sets) (cse.unr.edu)
13. Cuckoo is classified as which type of malware analysis tool?
    a. Purely static
    b. Purely dynamic
    c. Hybrid static + dynamic
    d. Network-only
    Answer: b (Cuckoo is dynamic analysis via sandbox) (Medium)
14. What role does “snapshot revert” play in Cuckoo’s operation?
    a. To backup logs
    b. To return VM to a clean baseline after malware execution
    c. To encrypt malware output
    d. To generate signatures
    Answer: b (Medium)
15. When malicious software attempts to detect it’s running in a VM, this is called
    a. Anti-sandboxing
    b. Polymorphism
    c. Obfuscation
    d. Anti-heuristics
    Answer: a (Anti-sandboxing / VM detection is used by malware to detect sandbox environments) (Scribd)
16. What is one indicator that malware is detecting a virtual machine during Cuckoo analysis?
    a. It writes many files
    b. It sleeps for a long time
    c. It checks for specific device drivers or MAC addresses of hypervisors
    d. It deletes itself immediately
    Answer: c (Malware may query hypervisor-specific signatures or drivers) (Scribd)
17. The network traffic from sandboxed execution in Cuckoo can be monitored using which tool often?
    a. tcpdump
    b. Excel
    c. Notepad
    d. MS Paint
    Answer: a (Cuckoo setups often integrate tcpdump for capturing network packets) (Medium)
18. Which database is commonly used to store Cuckoo analysis data?
    a. MySQL
    b. MongoDB
    c. PostgreSQL
    d. SQLite
    Answer: b (Cuckoo often uses MongoDB to store analysis data) (Medium)
19. The term “instrumentation” in a sandbox context means
    a. Musical composition
    b. Adding hooks or tracing inside code/API calls to monitor execution
    c. Deleting malware
    d. Disabling logging
    Answer: b
20. If Cuckoo yields a score of 8 for a sample, how is that interpreted?
    a. Very low risk
    b. Medium risk
    c. High risk
    d. No risk
    Answer: c (Higher scores indicate more severe or risky behavior) (cse.unr.edu)
21. Which of the following is part of Cuckoo’s architecture?
    a. Guest agent in VM
    b. Host-side controller
    c. Report module
    d. All of the above
    Answer: d
22. Cuckoo’s modular architecture allows adding new modules for
    a. Additional instrumentation (e.g. registry tracker)
    b. GUI themes
    c. Email clients
    d. Spreadsheets
    Answer: a
23. Cuckoo’s analysis can include memory dumps. This helps in
    a. Recovering runtime decrypted code
    b. Slowing down the analysis
    c. Preventing network traffic
    d. Avoiding VM revert
    Answer: a
24. A “clean snapshot” in Cuckoo refers to
    a. A snapshot of a VM after malware execution
    b. A VM image in which no malware modifications are present
    c. A database backup
    d. A log file
    Answer: b
25. Which of these describes the workflow of Cuckoo?
    a. Submit file → sandbox execution → analysis → revert snapshot → report
    b. Submit file → block execution → report
    c. Submit file → static parse only → report
    d. Submit file → network forwarding → live block
    Answer: a
26. Cuckoo’s dynamic analysis can be evaded by malware using which technique?
    a. Long sleep timers
    b. Anti-VM detection
    c. Encrypting behavior until late execution
    d. All of the above
    Answer: d
27. Integration with machine learning in Cuckoo is used to
    a. Replace all signature rules
    b. Enhance detection by learning patterns from API call sequences
    c. Prevent VM snapshotting
    d. Disable logging
    Answer: b (Machine learning can analyze API sequences, improving detection) (arXiv)
28. Which research work critiques Cuckoo’s threat scoring mechanism?
    a. Walker’s “Cuckoo’s Malware Threat Scoring and Classification”
    b. CAPE dataset
    c. AI-IDE Cuckoo attack
    d. None
    Answer: a (cse.unr.edu)
29. Cuckoo is open source. This implies
    a. You can view and modify its source code freely
    b. It is closed and proprietary
    c. You pay license per use
    d. The source is hidden
    Answer: a
30. In which operating system is the Cuckoo host typically run?
    a. Windows
    b. Linux
    c. macOS
    d. DOS
    Answer: b
31. The guest machines in Cuckoo are typically
    a. Real physical machines
    b. Virtual machines (e.g., VirtualBox)
    c. Smartphones
    d. IoT devices by default
    Answer: b
32. Which of the following is not a data artifact that Cuckoo can report?
    a. File creation/deletion
    b. Registry changes
    c. Keyboard strokes on host machine outside VM
    d. Network connections
    Answer: c
33. One can extend Cuckoo by adding custom signatures for new malware families (T/F)
    a. True
    b. False
    c. Only vendor can add
    d. Only machine learning can add
    Answer: a
34. Cuckoo can be used in malware research because it enables
    a. Automated batch analysis
    b. Only manual single file runs
    c. Block all file I/O
    d. Real-time prevention
    Answer: a
35. Which of these is a possible output format for Cuckoo reports?
    a. JSON
    b. HTML
    c. XML
    d. All of the above
    Answer: d
36. A significant challenge when malware authors target sandbox evasion is
    a. They avoid any behavior
    b. They craft behavior only under certain conditions (time, user input)
    c. They always self-destruct
    d. They never start
    Answer: b
37. Combining static analysis with Cuckoo’s dynamic approach helps because
    a. It slows down analysis
    b. It gives more context (e.g. deobfuscation + behavior)
    c. It replaces dynamic analysis
    d. It disables sandboxing
    Answer: b
38. Which of the following is not part of dynamic analysis advantages?
    a. Observing runtime behavior
    b. Detecting conditional or delayed payloads
    c. Complete immunity to anti-analysis techniques
    d. Real network interaction observation
    Answer: c
39. In the context of Cuckoo, instrumentation often involves
    a. Bytecode rewriting
    b. API hooking or intercepting calls in the guest
    c. GUI skin changes
    d. Email filtering
    Answer: b
40. Which of the following is a drawback of using Cuckoo?
    a. Malware may detect sandbox and hide behavior
    b. Overhead of VM initialization
    c. False negatives if behavior is conditional
    d. All of the above
    Answer: d
41. Cuckoo’s ability to detect malware depends heavily on
    a. The baseline configuration of guest VM
    b. The signature rules and detection modules
    c. The time window observed
    d. All of the above
    Answer: d
42. Which dataset is intended to support research with rich sandbox (Cuckoo) logs?
    a. Avast-CTU Public CAPE Dataset
    b. MNIST
    c. ImageNet
    d. CIFAR
    Answer: a (arXiv)
43. In recent research, Cuckoo has been integrated with which AI techniques?
    a. Convolutional Neural Networks (CNN)
    b. Recurrent Neural Networks (RNN)
    c. Traditional machine learning (SVM, RF)
    d. All of the above
    Answer: d (Research integrates both classical ML and deep learning with Cuckoo) (arXiv)
44. Which of the following is a recent attack concept named “Cuckoo Attack”?
    a. A malware that abuses Cuckoo sandbox internals
    b. An AI-IDE hijack using configuration files
    c. A network DoS method
    d. None of the above
    Answer: b (“Cuckoo Attack” is a stealthy attack against AI-IDE by embedding payloads in config files) (arXiv)
45. In the “Cuckoo Attack” context, the attacker leverages
    a. VM snapshotting
    b. Configuration files that execute commands routinely
    c. Deep learning only
    d. Traditional firewall rules
    Answer: b (arXiv)
46. One way to improve Cuckoo’s threat classification is by
    a. Removing all signatures
    b. Relying solely on raw counts
    c. Emphasizing contextual behavior and threat intelligence
    d. Limiting observation time
    Answer: c (Researchers propose emphasizing context and threat intelligence) (cse.unr.edu)
47. Sandbox “escape” techniques aim to
    a. Confine malware strictly inside VM
    b. Allow malware to break out into host environment
    c. Speed up VM reversion
    d. Disable logging
    Answer: b
48. In deployment, Cuckoo can operate as
    a. Standalone local sandbox
    b. Part of a larger malware analysis pipeline
    c. Cloud-based submission front end
    d. All of the above
    Answer: d
49. Which of the following is not typically needed to set up Cuckoo?
    a. Linux host
    b. Guest VM
    c. Signature modules
    d. GPU for deep rendering
    Answer: d
50. The primary reason dynamic sandbox analysis (e.g. via Cuckoo) is preferred over static only is that dynamic analysis can
    a. Observe decrypted or unpacked behavior at runtime
    b. Avoid needing any code
    c. Replace signatures entirely
    d. Guarantee detection
    Answer: a