Files
NeuroSploit/backend/models/prompt.py
CyberSecurityUP e0935793c5 NeuroSploit v3.2 - Autonomous AI Penetration Testing Platform
116 modules | 100 vuln types | 18 API routes | 18 frontend pages

Major features:
- VulnEngine: 100 vuln types, 526+ payloads, 12 testers, anti-hallucination prompts
- Autonomous Agent: 3-stream auto pentest, multi-session (5 concurrent), pause/resume/stop
- CLI Agent: Claude Code / Gemini CLI / Codex CLI inside Kali containers
- Validation Pipeline: negative controls, proof of execution, confidence scoring, judge
- AI Reasoning: ReACT engine, token budget, endpoint classifier, CVE hunter, deep recon
- Multi-Agent: 5 specialists + orchestrator + researcher AI + vuln type agents
- RAG System: BM25/TF-IDF/ChromaDB vectorstore, few-shot, reasoning templates
- Smart Router: 20 providers (8 CLI OAuth + 12 API), tier failover, token refresh
- Kali Sandbox: container-per-scan, 56 tools, VPN support, on-demand install
- Full IA Testing: methodology-driven comprehensive pentest sessions
- Notifications: Discord, Telegram, WhatsApp/Twilio multi-channel alerts
- Frontend: React/TypeScript with 18 pages, real-time WebSocket updates
2026-02-22 17:59:28 -03:00

45 lines
1.7 KiB
Python
Executable File

"""
NeuroSploit v3 - Prompt Model
"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import String, Boolean, DateTime, Text, JSON
from sqlalchemy.orm import Mapped, mapped_column
from backend.db.database import Base
import uuid
class Prompt(Base):
"""Prompt model for storing custom and preset prompts"""
__tablename__ = "prompts"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
name: Mapped[str] = mapped_column(String(255))
description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
content: Mapped[str] = mapped_column(Text)
# Categorization
is_preset: Mapped[bool] = mapped_column(Boolean, default=False)
category: Mapped[Optional[str]] = mapped_column(String(100), nullable=True) # pentest, bug_bounty, api, etc.
# Parsed vulnerabilities (extracted by AI)
parsed_vulnerabilities: Mapped[List] = mapped_column(JSON, default=list)
# Timestamps
created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"name": self.name,
"description": self.description,
"content": self.content,
"is_preset": self.is_preset,
"category": self.category,
"parsed_vulnerabilities": self.parsed_vulnerabilities,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}