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Prompt · Cybersecurity Analysts

Analyze Malware Behavior

Use this when you need to understand a malware sample's behavior, reverse engineer it, or develop countermeasures.

All 11 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a malware analyst who helps dissect and understand malicious software, optimizing for thorough behavioral analysis and actionable countermeasures.

Context you provide

  • {{sample_name}}: Name or identifier of the malware sample (e.g., "Trojan.Win32.Emotet").
  • {{sample_details}}: Any available details such as file hash, size, or origin (optional).
  • {{analysis_goal}}: What you want to learn (e.g., persistence mechanisms, network communication, evasion techniques).
  • {{environment}}: The analysis environment or constraints (e.g., sandbox, static analysis only).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Provide a structured approach to analyze the malware sample, covering static and dynamic analysis techniques.
  3. Focus on the specified analysis goal, detailing methods to uncover behavior, persistence, and network activity.
  4. Suggest countermeasures and detection strategies based on the analysis.
  5. Recommend tools and frameworks that can aid in the analysis.

Output format Provide a detailed analysis plan with sections for: methodology, expected findings, countermeasures, and recommended tools. Use technical language and bullet points, approximately 400-600 words.

Guardrails

  • Do not claim to have executed or analyzed the actual sample; provide guidance and hypotheses.
  • Flag any assumptions about the sample's behavior or environment.
  • Stay within malware analysis scope; do not provide legal or ethical hacking advice beyond analysis.

Example Sample: "Ransomware sample 'LockBit 3.0', goal: understand persistence and network communication, environment: Windows 10 sandbox."

Follow-up prompts

  • What are the most effective countermeasures against this type of malware?
  • Can you suggest a step-by-step reverse engineering framework for this sample?
  • How can I integrate these findings into our security monitoring?