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stride-analysis-patterns

Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating se…

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技能内容

STRIDE Analysis Patterns

Systematic threat identification using the STRIDE methodology.

When to Use This Skill

  • Starting new threat modeling sessions
  • Analyzing existing system architecture
  • Reviewing security design decisions
  • Creating threat documentation
  • Training teams on threat identification
  • Compliance and audit preparation

Core Concepts

1. STRIDE Categories

S - Spoofing       → Authentication threats
T - Tampering      → Integrity threats
R - Repudiation    → Non-repudiation threats
I - Information    → Confidentiality threats
    Disclosure
D - Denial of      → Availability threats
    Service
E - Elevation of   → Authorization threats
    Privilege

2. Threat Analysis Matrix

| Category | Question | Control Family |

| ------------------- | ----------------------------------------- | -------------- |

| Spoofing | Can attacker pretend to be someone else? | Authentication |

| Tampering | Can attacker modify data in transit/rest? | Integrity |

| Repudiation | Can attacker deny actions? | Logging/Audit |

| Info Disclosure | Can attacker access unauthorized data? | Encryption |

| DoS | Can attacker disrupt availability? | Rate limiting |

| Elevation | Can attacker gain higher privileges? | Authorization |

Templates and detailed worked examples

Full template library lives in references/details.md. Read that file when you need concrete templates for this skill.

Best Practices

Do's

  • Involve stakeholders - Security, dev, and ops perspectives
  • Be systematic - Cover all STRIDE categories
  • Prioritize realistically - Focus on high-impact threats
  • Update regularly - Threat models are living documents
  • Use visual aids - DFDs help communication

Don'ts

  • Don't skip categories - Each reveals different threats
  • Don't assume security - Question every component
  • Don't work in isolation - Collaborative modeling is better
  • Don't ignore low-probability - High-impact threats matter
  • Don't stop at identification - Follow through with mitigations

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