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  1. Python script execution attacks exploit which language feature most commonly?
    a. Static typing
    b. Dynamic execution
    c. Strict syntax enforcement
    d. Compiled modules
    Answer: b. Dynamic executioncryptika+1​
  2. Which Python functions are often abused for malicious code execution?
    a. print() and len()
    b. exec() and eval()
    c. split() and join()
    d. open() and close()
    Answer: b. exec() and eval()cryptika​
  3. What is the primary purpose of the Python exec() function?
    a. Executes shell commands directly
    b. Dynamically executes Python code as a string
    c. Reads user input securely
    d. Encrypts data
    Answer: b. Dynamically executes Python code as a stringaquasec+1​
  4. Why are eval() and exec() dangerous in Python applications?
    a. They force syntax errors
    b. They run arbitrary code if untrusted input is passed
    c. They disable modules
    d. They restrict imports
    Answer: b. They run arbitrary code if untrusted input is passedcryptika​
  5. Which technique allows attackers to conceal malicious code in Python scripts?
    a. Compression
    b. Homoglyph obfuscation
    c. Deep learning encoding
    d. Hashing
    Answer: b. Homoglyph obfuscationcryptika​
  6. An injection flaw allows attackers to perform what type of action in Python?
    a. Insert unauthorized commands into program flow
    b. Encrypt data dynamically
    c. Limit system memory usage
    d. Block network access
    Answer: a. Insert unauthorized commands into program flowsnyk+1​
  7. Command injection in Python occurs when user input is passed to what?
    a. sys.exit()
    b. os.system()
    c. int()
    d. json.dumps()
    Answer: b. os.system()aquasec​
  8. Which Python module, if misused, can lead to remote code execution?
    a. re
    b. subprocess
    c. random
    d. json
    Answer: b. subprocessaquasec+1​
  9. A Python script that downloads commands from a remote source typifies what attack?
    a. Local denial
    b. Remote command execution
    c. Directory traversal
    d. Buffer overflow
    Answer: b. Remote command executionfortinet+1​
  10. Attackers exploit insecure deserialization in Python primarily through:
    a. pickle module
    b. hashlib module
    c. sys module
    d. math module
    Answer: a. pickle modulefortinet+1​
  11. Which of the following prevents Python script execution attacks best?
    a. Using assert statements
    b. Validating and sanitizing user input
    c. Disabling debugging logs only
    d. Storing plaintext passwords
    Answer: b. Validating and sanitizing user inputsnyk+1​
  12. A supply chain attack through Python package repositories such as PyPI involves:
    a. Legitimate package downloads only
    b. Uploading trojanized versions of trusted libraries
    c. File compression
    d. Safe cryptographic operations
    Answer: b. Uploading trojanized versions of trusted librariesfortinet+1​
  13. Why are obfuscated Python scripts dangerous?
    a. They run slower
    b. They conceal malicious payloads from detection systems
    c. They reduce memory footprint
    d. They improve maintainability
    Answer: b. They conceal malicious payloads from detection systemsfortinet+1​
  14. Which command can execute arbitrary system commands from Python?
    a. os.system()
    b. sys.argv()
    c. os.listdir()
    d. re.search()
    Answer: a. os.system()infosecinstitute+1​
  15. An attacker abuses Python’s dynamic typing to:
    a. Increase security
    b. Evade static detection tools
    c. Lower privileges
    d. Enable sandboxing
    Answer: b. Evade static detection toolscryptika+1​
  16. The best defense against malicious Python package usage is:
    a. Downloading from trusted sources only
    b. Ignoring dependency versions
    c. Using outdated pip versions
    d. Disabling HTTPS
    Answer: a. Downloading from trusted sources onlyfortinet​
  17. What is a sandbox environment used for in Python script testing?
    a. To isolate code execution for security
    b. To enhance memory usage
    c. To encrypt output
    d. To disable packages
    Answer: a. To isolate code execution for securitysnyk+1​
  18. What library helps in assessing Python package vulnerabilities?
    a. NumPy
    b. Snyk
    c. Flask
    d. TensorFlow
    Answer: b. Snyksnyk​
  19. A malicious Python script collecting keystrokes likely uses:
    a. sockets
    b. pynput library
    c. random
    d. requests
    Answer: b. pynput libraryfortinet​
  20. Directory traversal in Python enables attackers to:
    a. Execute random memory access patterns
    b. Access files beyond intended directories
    c. Delete compilation outputs
    d. Mask extensions
    Answer: b. Access files beyond intended directoriesaquasec​
  21. The combination of eval() and input() is insecure because:
    a. It restricts scripting
    b. It can directly execute user-provided data
    c. It logs arguments
    d. It disables exceptions
    Answer: b. It can directly execute user-provided datasnyk+1​
  22. Which mitigation reduces Python code injection risk?
    a. Use of literal_eval() from ast module
    b. Replacing vars()
    c. Use of globals()
    d. Hardcoding data
    Answer: a. Use of literal_eval() from ast modulesnyk​
  23. What main factor increases Python code attack surfaces?
    a. Simplicity of syntax
    b. Dynamic and reflective features
    c. File size
    d. Memory safety
    Answer: b. Dynamic and reflective featurescryptika​
  24. Python-based malware often uses what to persist on systems?
    a. Registry edits or startup tasks
    b. Random seeding
    c. Logging libraries
    d. List comprehensions
    Answer: a. Registry edits or startup tasksfortinet​
  25. What technique helps evade regex-based detection in Python malware?
    a. Unicode homoglyph usage
    b. Syntax error injection
    c. Code indentation exploits
    d. Variable shortening
    Answer: a. Unicode homoglyph usagecryptika​
  26. Why is subprocess.Popen() risky?
    a. It spawns child processes that may execute injected commands
    b. It encrypts files
    c. It parses JSON automatically
    d. It writes to registry
    Answer: a. It spawns child processes that may execute injected commandsaquasec​
  27. What is the role of static analysis tools in defending Python systems?
    a. Detect obfuscated or malicious code patterns before execution
    b. Compile scripts
    c. Measure performance
    d. Manage dependencies
    Answer: a. Detect obfuscated or malicious code patterns before executioncryptika​
  28. A malicious Python script that communicates with a remote server over HTTP is performing:
    a. Command-and-control activity
    b. Log file reporting
    c. Debug mode analysis
    d. Safe API interaction
    Answer: a. Command-and-control activityfortinet​
  29. What makes Python dangerous in malware development?
    a. Preinstalled libraries, cross-platform nature, and dynamic code execution
    b. Static linking
    c. Automatic compilation
    d. High CPU usage
    Answer: a. Preinstalled libraries, cross-platform nature, and dynamic code executionsoftteco+1​
  30. Remote code execution in Python occurs when:
    a. Untrusted input reaches system-level APIs
    b. Code is encrypted securely
    c. Python virtual environments are used
    d. Modules are print-only
    Answer: a. Untrusted input reaches system-level APIsaquasec​
  31. Why should you avoid pickle.load() with untrusted data?
    a. It disables JSON
    b. It can execute arbitrary code during deserialization
    c. It blocks string I/O
    d. It fails to compile
    Answer: b. It can execute arbitrary code during deserializationaquasec​
  32. In cybersecurity, sandbox escape means:
    a. Executing code beyond intended isolated boundaries
    b. Disabling print statements
    c. Encrypting all directories
    d. Resetting permissions
    Answer: a. Executing code beyond intended isolated boundariescryptika​
  33. Python’s flexibility in executing strings contributes to:
    a. Increased susceptibility to injection attacks
    b. Faster debug cycle
    c. Reduced CPU load
    d. Safer I/O
    Answer: a. Increased susceptibility to injection attacksaquasec+1​
  34. A defensive coding approach in Python includes:
    a. Strict type checking and limited eval usage
    b. Increased recursion limits
    c. Comment removal
    d. Ignoring exceptions
    Answer: a. Strict type checking and limited eval usagesnyk​
  35. Unauthorized Python code execution usually aims to:
    a. Steal data, gain remote control, or exfiltrate credentials
    b. Increase network latency
    c. Enhance CPU cycles
    d. Perform static linking
    Answer: a. Steal data, gain remote control, or exfiltrate credentialsfortinet​
  36. What Python module can attackers use to encrypt stolen data?
    a. cryptography
    b. math
    c. sys
    d. itertools
    Answer: a. cryptographysoftteco​
  37. Detecting eval misuse can be automated through:
    a. Code scanning tools
    b. Manual syntax testing
    c. File compression
    d. Token sorting
    Answer: a. Code scanning toolssnyk+1​
  38. Which vulnerability arises from error messages revealing debug data?
    a. Verbose error exposure
    b. Replay attack
    c. Injection of logs
    d. Type confusion
    Answer: a. Verbose error exposureaquasec​
  39. The function os.popen() may be exploited to:
    a. Execute system commands
    b. Open secure sockets
    c. Manage memory
    d. Escape sandboxing
    Answer: a. Execute system commandsaquasec​
  40. Which defense limits malicious subprocess calls?
    a. Whitelisting allowed commands
    b. Disabling exception handling
    c. Using random imports
    d. Hardcoding credentials
    Answer: a. Whitelisting allowed commandssnyk+1​
  41. Obfuscated payloads often use what to evade detection?
    a. Encodings and compression layering
    b. Minimal whitespace
    c. Random capitalization
    d. Modular arithmetic
    Answer: a. Encodings and compression layeringcryptika​
  42. An insecure Python environment typically lacks:
    a. Access control and code review
    b. Logging system
    c. Networking
    d. Loop handlers
    Answer: a. Access control and code reviewfortinet+1​
  43. Python malware developers often weaponize:
    a. Legitimate scripting libraries like requests and socket
    b. Hardware interrupts
    c. Mathematical constants
    d. Static typing
    Answer: a. Legitimate scripting libraries like requests and socketsoftteco+1​
  44. Using a virtual environment improves safety by:
    a. Isolating dependencies from system-level Python
    b. Accelerating imports
    c. Debugging automatically
    d. Encrypting scripts
    Answer: a. Isolating dependencies from system-level Pythonsnyk​
  45. A Python reverse shell typically uses which networking feature?
    a. Socket connections
    b. Local JSON files
    c. Pandas dataframes
    d. mc libraries
    Answer: a. Socket connectionssoftteco​
  46. What symptom indicates Python malware activity?
    a. Unexpected outbound network connections from Python processes
    b. Faster execution
    c. GUI responsiveness
    d. Frequent syntax warnings
    Answer: a. Unexpected outbound network connections from Python processesfortinet​
  47. Python “exec” attacks are a subset of which larger category?
    a. Code injection attacks
    b. Man-in-the-middle attacks
    c. Replay attacks
    d. SQL injection
    Answer: a. Code injection attacksaquasec+1​
  48. The Python logging module should avoid storing:
    a. Sensitive credentials and personal data
    b. Normal exceptions
    c. Stack traces
    d. Log rotation settings
    Answer: a. Sensitive credentials and personal datasnyk​
  49. Attackers commonly deploy Python for which initial step in cyber operations?
    a. Reconnaissance
    b. Hardware upgrades
    c. User training
    d. System reboot
    Answer: a. Reconnaissancepanther+1​
  50. Which cybersecurity principle minimizes risks from Python script execution attacks?
    a. Least privilege
    b. Full administrative access
    c. Infinite recursion
    d. Disabling antivirus
    Answer: a. Least privilegefortinet+1​
  1. https://www.cryptika.com/hackers-can-exploit-eval-or-exec-python-calls-to-execute-malicious-code/
  2. https://www.aquasec.com/cloud-native-academy/application-security/python-security/
  3. https://snyk.io/blog/code-injection-python-prevention-examples/
  4. https://www.fortinet.com/blog/threat-research/analyzing-malicious-intent-in-python-code
  5. https://www.infosecinstitute.com/resources/general-security/python-for-exploit-development-common-vulnerabilities-and-exploits/
  6. https://softteco.com/blog/python-for-cybersecurity
  7. https://panther.com/blog/python-for-cybersecurity-key-use-cases-and-tools
  8. https://www.sanfoundry.com/cyber-security-questions-answers-types-cyber-attacks/
  9. https://www.sanfoundry.com/1000-cyber-security-questions-answers/
  10. https://testbook.com/objective-questions/mcq-on-cyber-security-and-emerging-technologies–5eea6a0d39140f30f369e309
  11. https://www.yeahhub.com/cyber-security-mcq-35-questions-with-answers/
  12. https://www.scribd.com/document/885403711/CyberSecurity-MCQ-Set-1
  13. https://www.javaguides.net/2024/04/cyber-security-quiz-mcq-questions-and-answers.html
  14. https://www.coursera.org/learn/packt-advanced-web-exploits-python-scripting-network-attacks-4eje3
  15. https://www.studocu.com/in/document/jawaharlal-nehru-technological-university-kakinada/computer-science-engineering/sct-important-questions/111859643
  16. https://www.igmguru.com/blog/cyber-security-mcqs
  17. https://infosecwriteups.com/python-for-penetration-testing-automating-cybersecurity-with-python-f9ea2165852a
  18. https://www.uninets.com/blog/cybersecurity-interview-questions-answers
  19. https://www.interviewbit.com/cyber-security-mcq/
  20. https://invedus.com/blog/python-for-cybersecurity-to-prevent-cyber-attacks/

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