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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 plan

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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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