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/vuln_lab.py

@@ -0,0 +1,94 @@
+"""
+NeuroSploit v3 - Vulnerability Lab Challenge Model
+
+Tracks isolated vulnerability testing sessions (labs, CTFs, PortSwigger, etc.)
+"""
+from datetime import datetime
+from typing import Optional, List
+from sqlalchemy import String, Integer, Float, Boolean, DateTime, Text, JSON, ForeignKey
+from sqlalchemy.orm import Mapped, mapped_column
+from backend.db.database import Base
+import uuid
+
+
+class VulnLabChallenge(Base):
+    """Individual vulnerability lab/challenge test record"""
+    __tablename__ = "vuln_lab_challenges"
+
+    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
+
+    # Target info
+    target_url: Mapped[str] = mapped_column(Text)
+    challenge_name: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
+
+    # Vulnerability scope
+    vuln_type: Mapped[str] = mapped_column(String(100))  # e.g. xss_reflected, sqli_union
+    vuln_category: Mapped[Optional[str]] = mapped_column(String(50), nullable=True)  # injection, auth, client_side, etc.
+
+    # Authentication
+    auth_type: Mapped[Optional[str]] = mapped_column(String(20), nullable=True)  # cookie, bearer, basic, header
+    auth_value: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
+
+    # Execution state
+    status: Mapped[str] = mapped_column(String(20), default="pending")  # pending, running, completed, failed, stopped
+    result: Mapped[Optional[str]] = mapped_column(String(20), nullable=True)  # detected, not_detected, error
+
+    # Agent linkage
+    agent_id: Mapped[Optional[str]] = mapped_column(String(36), nullable=True)
+    scan_id: Mapped[Optional[str]] = mapped_column(String(36), nullable=True)
+
+    # Results
+    findings_count: Mapped[int] = mapped_column(Integer, default=0)
+    critical_count: Mapped[int] = mapped_column(Integer, default=0)
+    high_count: Mapped[int] = mapped_column(Integer, default=0)
+    medium_count: Mapped[int] = mapped_column(Integer, default=0)
+    low_count: Mapped[int] = mapped_column(Integer, default=0)
+    info_count: Mapped[int] = mapped_column(Integer, default=0)
+
+    # Findings detail (JSON list of finding summaries)
+    findings_detail: Mapped[List] = mapped_column(JSON, default=list)
+
+    # Timing
+    started_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
+    completed_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
+    duration: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)  # seconds
+
+    # Notes
+    notes: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
+
+    # Logs (JSON list of log entries persisted after completion)
+    logs: Mapped[List] = mapped_column(JSON, default=list)
+
+    # Endpoints discovered count
+    endpoints_count: Mapped[int] = mapped_column(Integer, default=0)
+
+    # Timestamps
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
+
+    def to_dict(self) -> dict:
+        return {
+            "id": self.id,
+            "target_url": self.target_url,
+            "challenge_name": self.challenge_name,
+            "vuln_type": self.vuln_type,
+            "vuln_category": self.vuln_category,
+            "auth_type": self.auth_type,
+            "status": self.status,
+            "result": self.result,
+            "agent_id": self.agent_id,
+            "scan_id": self.scan_id,
+            "findings_count": self.findings_count,
+            "critical_count": self.critical_count,
+            "high_count": self.high_count,
+            "medium_count": self.medium_count,
+            "low_count": self.low_count,
+            "info_count": self.info_count,
+            "findings_detail": self.findings_detail or [],
+            "started_at": self.started_at.isoformat() if self.started_at else None,
+            "completed_at": self.completed_at.isoformat() if self.completed_at else None,
+            "duration": self.duration,
+            "notes": self.notes,
+            "logs": self.logs or [],
+            "endpoints_count": self.endpoints_count,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+        }