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

backend/models/prompt.py

@@ -0,0 +1,44 @@
+"""
+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
+        }