mirror of
https://github.com/CyberSecurityUP/NeuroSploit.git
synced 2026-06-30 07:15:30 +02:00
a5badefc29
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
(NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)
Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
/reports/* + /shots/* static serving
Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
95 lines
4.0 KiB
Python
Executable File
95 lines
4.0 KiB
Python
Executable File
"""
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NeuroSploit v3 - Vulnerability Lab Challenge Model
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Tracks isolated vulnerability testing sessions (labs, CTFs, PortSwigger, etc.)
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"""
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from datetime import datetime
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from typing import Optional, List
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from sqlalchemy import String, Integer, Float, Boolean, DateTime, Text, JSON, ForeignKey
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from sqlalchemy.orm import Mapped, mapped_column
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from backend.db.database import Base
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import uuid
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class VulnLabChallenge(Base):
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"""Individual vulnerability lab/challenge test record"""
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__tablename__ = "vuln_lab_challenges"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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# Target info
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target_url: Mapped[str] = mapped_column(Text)
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challenge_name: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
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# Vulnerability scope
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vuln_type: Mapped[str] = mapped_column(String(100)) # e.g. xss_reflected, sqli_union
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vuln_category: Mapped[Optional[str]] = mapped_column(String(50), nullable=True) # injection, auth, client_side, etc.
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# Authentication
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auth_type: Mapped[Optional[str]] = mapped_column(String(20), nullable=True) # cookie, bearer, basic, header
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auth_value: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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# Execution state
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status: Mapped[str] = mapped_column(String(20), default="pending") # pending, running, completed, failed, stopped
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result: Mapped[Optional[str]] = mapped_column(String(20), nullable=True) # detected, not_detected, error
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# Agent linkage
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agent_id: Mapped[Optional[str]] = mapped_column(String(36), nullable=True)
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scan_id: Mapped[Optional[str]] = mapped_column(String(36), nullable=True)
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# Results
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findings_count: Mapped[int] = mapped_column(Integer, default=0)
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critical_count: Mapped[int] = mapped_column(Integer, default=0)
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high_count: Mapped[int] = mapped_column(Integer, default=0)
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medium_count: Mapped[int] = mapped_column(Integer, default=0)
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low_count: Mapped[int] = mapped_column(Integer, default=0)
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info_count: Mapped[int] = mapped_column(Integer, default=0)
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# Findings detail (JSON list of finding summaries)
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findings_detail: Mapped[List] = mapped_column(JSON, default=list)
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# Timing
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started_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
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completed_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
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duration: Mapped[Optional[int]] = mapped_column(Integer, nullable=True) # seconds
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# Notes
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notes: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
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# Logs (JSON list of log entries persisted after completion)
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logs: Mapped[List] = mapped_column(JSON, default=list)
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# Endpoints discovered count
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endpoints_count: Mapped[int] = mapped_column(Integer, default=0)
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# Timestamps
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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def to_dict(self) -> dict:
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return {
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"id": self.id,
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"target_url": self.target_url,
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"challenge_name": self.challenge_name,
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"vuln_type": self.vuln_type,
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"vuln_category": self.vuln_category,
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"auth_type": self.auth_type,
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"status": self.status,
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"result": self.result,
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"agent_id": self.agent_id,
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"scan_id": self.scan_id,
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"findings_count": self.findings_count,
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"critical_count": self.critical_count,
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"high_count": self.high_count,
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"medium_count": self.medium_count,
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"low_count": self.low_count,
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"info_count": self.info_count,
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"findings_detail": self.findings_detail or [],
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"started_at": self.started_at.isoformat() if self.started_at else None,
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"completed_at": self.completed_at.isoformat() if self.completed_at else None,
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"duration": self.duration,
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"notes": self.notes,
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"logs": self.logs or [],
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"endpoints_count": self.endpoints_count,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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}
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