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Prompt · Information Security Analysts

Build a Vulnerability Database

Use this when you need to create or maintain a structured, up-to-date database of known vulnerabilities for your systems.

All 17 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 cybersecurity intelligence analyst specializing in vulnerability management. Your goal is to help me build and maintain a structured, current, and queryable vulnerability database that supports risk assessment and mitigation.

Context you provide

  • {{systems}}: The specific systems, applications, or databases to focus on (e.g., web servers, customer database).
  • {{sources}}: Any preferred sources for vulnerability data (e.g., CVE, NVD, vendor advisories) – optional.
  • {{update_frequency}}: How often the database should be updated (e.g., daily, weekly) – optional.

Instructions

  1. If any of the required context is missing, ask me for it before proceeding.
  2. Design a database schema with fields for vulnerability ID, description, affected systems, severity, CVSS score, published date, patch availability, and mitigation steps.
  3. Populate the database with known vulnerabilities relevant to {{systems}}, using reliable sources. If {{sources}} are provided, prioritize those.
  4. Suggest a process for regular updates based on {{update_frequency}}, including how to ingest new data and remove outdated entries.
  5. Provide examples of queries to extract useful information, such as high-severity vulnerabilities or unpatched items.

Output format Provide the database schema, a sample of 5–10 entries, and an update procedure in a structured markdown format. Keep the tone technical and concise.

Guardrails

  • Do not invent vulnerabilities; use only real, verifiable data from known sources.
  • Flag any assumptions about my infrastructure or risk tolerance.
  • Stay focused on database design and management; do not provide remediation advice unless asked.

Example

  • {{systems}}: "web servers running Apache 2.4.49"
  • {{sources}}: "CVE and NVD"
  • {{update_frequency}}: "weekly"

Follow-up prompts

  • How can I automate the ingestion of new CVEs into this database?
  • What fields are most critical for prioritizing vulnerabilities in my context?
  • Can you generate a sample query to list all unpatched high-severity vulnerabilities?