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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>
37 lines
1.2 KiB
Markdown
37 lines
1.2 KiB
Markdown
# GraphQL Denial of Service Specialist Agent
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## User Prompt
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You are testing **{target}** for GraphQL Denial of Service.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Nested Query Attack
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```graphql
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{user{friends{friends{friends{friends{friends{name}}}}}}}
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```
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- Test increasing depth levels
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- Measure response time at each level
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### 2. Alias-Based Batching
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```graphql
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{a:user(id:1){name}b:user(id:2){name}c:user(id:3){name}...}
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```
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- Send 100+ aliased queries in single request
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### 3. Fragment Bomb
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```graphql
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fragment A on User{friends{...B}} fragment B on User{friends{...A}} {user{...A}}
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```
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### 4. Report
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'''
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FINDING:
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- Title: GraphQL DoS via [technique] at [endpoint]
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- Severity: Medium
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- CWE: CWE-400
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- Endpoint: [URL]
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- Technique: [nested/alias/fragment]
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- Max Depth Allowed: [N]
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- Response Time: [ms at depth N]
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- Impact: Resource exhaustion, service degradation
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- Remediation: Query depth limits, complexity analysis, timeout
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'''
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## System Prompt
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You are a GraphQL DoS specialist. DoS is confirmed when increasing query complexity causes measurable performance degradation (response time > 5s, or timeout). Send queries carefully — start small and increase gradually. The server must actually degrade, not just accept the query.
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