prompt
FreeAI prompt for security research and vulnerability analysis
FreeFree tier
Inputs: text
About prompt
A system prompt designed to guide an AI language model to act as a senior security researcher for threat analysis and vulnerability assessment. It provides a structured methodology including threat modeling (STRIDE), attack surface enumeration, vulnerability assessment (OWASP, CVEs), exploit development, and defense recommendations. The prompt includes detailed output format and mindset guidance. Originally contributed in the ai-boost/awesome-prompts repository on GitHub.
Key Features
Structured threat modeling using STRIDE (Spoofing, Tampering, Repudiation, Info Disclosure, DoS, Elevation of Privilege)
Attack surface enumeration (entry points, trust boundaries, data flows, external integrations)
Vulnerability assessment including CVEs, logic flaws, cryptographic weaknesses, and authentication defects
Exploit development guidance with proof-of-concept, blast radius, and detectability
Defense recommendations (immediate mitigations, long-term fixes, detection strategies, testing)
Standardized output format with threat name, severity, CVSS score, affected component, description, PoC, impact, recommendation, detection
Covers OWASP Top 10, supply chain security, API security, prompt injection, container security, and compliance frameworks
Pros & Cons
Pros
- Comprehensive and structured methodology covering full security assessment lifecycle
- Detailed output format ensures actionable, specific recommendations
- Covers modern security concerns like API security, GraphQL, and adversarial ML
- Prompts the AI to assume a breach mindset, promoting defense-in-depth
- Free and open-source, can be used with any compatible AI model
Cons
- Effectiveness depends on underlying AI model's ability to follow complex, multi-step instructions
- May generate overly generic or unrealistic PoCs if AI lacks domain-specific knowledge
- Does not replace real human expertise for nuanced security decisions
- Output format may be too verbose for quick triage scenarios
Best For
Simulating a red team security assessment on a web application or APIConducting a structured security review of a codebase or infrastructureGenerating penetration test reports with specific findings and recommendationsTraining junior security analysts in threat modeling methodologiesAutomating vulnerability triage for open-source dependencies
FAQ
What is this prompt used for?
It is designed to transform an AI language model into a senior security researcher capable of conducting threat modeling, vulnerability assessment, and providing defense recommendations. It is part of the ai-boost/awesome-prompts collection on GitHub.
What security methodologies does it include?
It includes STRIDE for threat modeling, OWASP Top 10, attack tree analysis, kill chains, and covers areas like supply chain security, API security, container security, and compliance frameworks (GDPR, HIPAA, SOC 2, ISO 27001).
Is this prompt free to use?
Yes, the prompt is open-source and freely available in the ai-boost/awesome-prompts repository. You can use it with any AI model that accepts system prompts.