Files
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

53 lines
1.5 KiB
Python

"""Configuration & paths for NeuroSploit v3.3.0."""
import os
from dataclasses import dataclass, field
from typing import Optional
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
def _p(*parts) -> str:
return os.path.join(ROOT, *parts)
@dataclass
class RunConfig:
target: str
scope: str = ""
rules_of_engagement: str = "Authorized, non-destructive testing only. No DoS unless explicitly permitted. Stay strictly in scope."
backend: str = "claude" # claude | codex | grok
provider: str = "anthropic" # see models.PROVIDERS
model: str = "claude-opus-4-8"
autonomous: bool = True
collaborator: str = "" # OOB callback host for blind vuln proof
use_rl: bool = True
use_mcp: bool = True
max_agents: int = 0 # 0 = no cap (backend prioritises)
timeout: int = 7200
dry_run: bool = False
workdir: str = field(default="")
def resolved_workdir(self) -> str:
return self.workdir or _p("results", _slug(self.target))
def _slug(url: str) -> str:
s = url.replace("https://", "").replace("http://", "")
return "".join(c if c.isalnum() else "_" for c in s).strip("_")[:60] or "target"
PATHS = {
"agents": _p("agents_md"),
"results": _p("results"),
"reports": _p("reports"),
"data": _p("data"),
"logs": _p("logs"),
"rl_state": _p("data", "rl_state.json"),
}
def ensure_dirs():
for k in ("results", "reports", "data", "logs"):
os.makedirs(PATHS[k], exist_ok=True)