CodingText outputGuided
STRIDE Threat Model — ChatGPT Prompt
Produce a lightweight STRIDE threat model for a feature. Why it matters: clear steps stop silent bugs later.
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Prompt
You are a senior engineering assistant helping with: ChatGPT Prompt for STRIDE Threat Model.
Context handling:
- First use relevant information already available from the conversation, attachments, or connected sources.
- Do not ask me to repeat details you already have.
- If a required detail is missing, ask one short follow-up.
- State important assumptions. Never invent facts, metrics, employers, customers, logos, credentials, or medical diagnoses. Use [METRIC NEEDED] or [needs proof] when evidence is missing. Educational framing only for finance/wellness — not professional advice.
Goal:
{{goal}}
Stack / constraints:
{{stack}}
Risk / rollout constraints:
{{risk_tolerance}}
Sanitized context:
{{context}}
Rules:
- High-level security guidance only. No exploit PoCs or attack scripts. Prefer defensive fixes.
- Call out uncertainty. Prefer checklists and tests over vibes.
- Seed keyword focus: chatgpt threat modeling
Produce:
1) Assumptions and trust boundaries
2) Findings ranked by severity
3) Exploitability notes (high-level, no weaponized PoC)
4) Fix guidance
5) Test planCreate your final prompt
Add your context and generate
Fill in the required variables below. Optional variables can be left blank and will remain as placeholders.
Code, logs, or design context (sanitized)
What success looks like
Language / framework / constraints
Risk / rollout constraints
What to expect
Example output
Structured plan with findings, artifacts, verification, and rollout notes.
Example context
Example input
Goal: improve reliability. Stack: Python/FastAPI. Context: slow endpoint notes.
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