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CodingArchitectureadvanced

OWASP Security Vulnerability & Dependency Auditor

Inspect code modules for injection vulnerabilities, insecure deserialization, broken access controls, and auth flaws.

Compatibility & Specs

Compatible AI Models
ClaudeChatGPTGemini
Last UpdatedApr 1, 2026
Customizable Variables2 parameters

How to Use This Prompt

Follow this 3-step workflow to extract high-signal responses from any compatible AI model.

01

1. Tailor the Parameters

Use the interactive customizer above to substitute the bracketed placeholders with your exact context, requirements, and constraints.

02

2. Send to AI Model

Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot. These models follow structured multi-step constraints reliably.

03

3. Review and Iterate

Review the output against the verified benchmark below. Follow up in the conversation to stress-test edge cases or refine tone.

Prompt Variables & Parameters

Reference breakdown of every dynamic variable embedded in this prompt template.

PlaceholderParameter NameTypeStatusDescription & Guidance
[application_context]Application ContexttextRequiredFramework, data sensitivity, and threat profileDefault: Public Node.js / Express multi-tenant SaaS API processing user uploaded documents and account queries
[source_code]Source Code to AudittextareaRequiredPaste the backend endpoint or handlerDefault: app.get('/api/document/download', async (req, res) => { const docId = req.query.id; const filePath = req.query.path; // Query database const query = `SELECT * FROM documents WHERE id = '${docId}'`; const doc = await db.raw(query); // Stream file const fullPath = path.join('/var/app/uploads', filePath); res.sendFile(fullPath); });

Example Execution & Benchmark Output

Sample input arguments and the verified AI response demonstrating expected quality and formatting.

Sample VariablesInputs
[application_context]
Public Node.js / Express multi-tenant SaaS API processing user uploaded documents and account queries
[source_code]
app.get('/api/document/download', async (req, res) => { const docId = req.query.id; const filePath = req.query.path; // Query database const query = `SELECT * FROM documents WHERE id = '${docId}'`; const doc = await db.raw(query); // Stream file const fullPath = path.join('/var/app/uploads', filePath); res.sendFile(fullPath); });
Expected AI ResponseVerified Result
### 1. Executive Threat Summary **Risk Score:** CRITICAL (Immediate Deployment Blocker) This endpoint exhibits multiple fatal vulnerabilities allowing unauthenticated Remote Code Execution / Arbitrary File Read and full database exfiltration. ### 2. Vulnerability Findings - **Finding 1: SQL Injection (OWASP A03:2021 - Injection)** - *Vulnerable Line:* `db.raw(`SELECT * FROM documents WHERE id = '${docId}'`)` - *Exploit:* Passing `id=' UNION SELECT * FROM users--` extracts sensitive credentials. - **Finding 2: Path Traversal (OWASP A01:2021 - Broken Access Control)** - *Vulnerable Line:* `path.join('/var/app/uploads', filePath)` - *Exploit:* Supplying `path=../../../../etc/passwd` reads server configuration and secrets. - **Finding 3: Broken Object-Level Authorization (BOLA/IDOR)** - The endpoint verifies no user session or tenant ownership before returning document records. ### 3. Secure Refactored Implementation ```typescript app.get('/api/document/download', authenticateUser, async (req: AuthenticatedRequest, res) => { const parsed = DownloadQuerySchema.safeParse(req.query); if (!parsed.success) return res.status(400).json({ error: 'Invalid parameters' }); // 1. Parameterized query enforcing tenant boundary const [doc] = await db('documents') .where({ id: parsed.data.id, organizationId: req.user.orgId }) .select('filename', 'storageKey'); if (!doc) return res.status(404).json({ error: 'Document not found' }); // 2. Safe path resolution preventing directory traversal const safePath = path.resolve(UPLOADS_BASE_DIR, path.basename(doc.storageKey)); if (!safePath.startsWith(UPLOADS_BASE_DIR)) { return res.status(403).json({ error: 'Access denied' }); } res.sendFile(safePath); }); ```

Best Use Cases

Scenarios and roles where this prompt produces maximum leverage.

Developers auditing pull requests that touch user-uploaded files or raw SQL queries
Teams preparing for SOC 2 Type II or ISO 27001 penetration test audits
Engineers validating multi-tenant tenant isolation guards against BOLA/IDOR attacks

Tips for Best Results

Techniques to elevate response fidelity

  • •Provide rich background context rather than one-sentence inputs to receive deep, non-generic responses.
  • •Engage in multi-turn conversation: use the initial output as a baseline, then ask the AI to sharpen specific sections.
  • •Prompt the model to highlight any hidden assumptions or missing trade-offs in its recommendations.

Common Mistakes to Avoid

Frequent failure modes and anti-patterns

  • •Giving minimal context and expecting nuanced, expert-level strategic output.
  • •Not validating factual references, citations, or statistical claims with verified primary sources.
  • •Skipping the customization step and pasting raw bracketed template variables into the AI chat.

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