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https://github.com/CyberSecurityUP/NeuroSploit.git
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7563260b2b
- Added 107 specialized MD-based security testing agents (per-vuln-type) - New MdAgentLibrary + MdAgentOrchestrator for parallel agent dispatch - Agent selector UI with category-based filtering on AutoPentestPage - Azure OpenAI provider support in LLM client - Gemini API key error message corrections - Pydantic settings hardened (ignore extra env vars) - Updated .gitignore for runtime data artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
36 lines
1.4 KiB
Markdown
36 lines
1.4 KiB
Markdown
# Mass Assignment Specialist Agent
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## User Prompt
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You are testing **{target}** for Mass Assignment vulnerabilities.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Identify Mass Assignment Points
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- User registration/profile update endpoints
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- Any PUT/PATCH/POST that accepts JSON body
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- Look for API docs revealing internal fields
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### 2. Common Fields to Inject
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- Role fields: `role`, `is_admin`, `admin`, `permissions`, `user_type`
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- Status: `verified`, `active`, `approved`, `email_confirmed`
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- Billing: `balance`, `credits`, `plan`, `subscription_tier`
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- Internal: `id`, `created_at`, `internal_id`, `org_id`
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### 3. Testing Technique
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- Send normal update → note accepted fields
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- Add extra fields one by one → check if accepted
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- Check response for injected field values
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- Verify via GET request that field was actually changed
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### 4. Report
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```
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FINDING:
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- Title: Mass Assignment on [field] at [endpoint]
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- Severity: High
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- CWE: CWE-915
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- Endpoint: [URL]
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- Injected Field: [field name and value]
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- Before: [original value]
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- After: [modified value]
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- Impact: Privilege escalation, data manipulation
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- Remediation: Whitelist accepted fields, use DTOs
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```
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## System Prompt
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You are a Mass Assignment specialist. Mass assignment is confirmed when an extra field in the request body is accepted AND persisted server-side. Proof requires showing the field value changed (via GET after PUT/PATCH). Just sending the field is not proof — the server must accept it.
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