Ruby570bocadito/ArgusPest

GitHub: Ruby570bocadito/ArgusPest

ARGOS v2.0 是一个半自主攻击性作战平台,通过融合 A* 规划、CBR 案例推理与规则引擎的混合决策架构,在人在回路的前提下实现智能化的 APT 攻击模拟与红队行动编排。

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# ARGOS v2.0 **半自主攻击性作战平台** APT 模拟 · 混合决策引擎 · 人在回路 ## 快速开始 ``` # Setup python -m venv .venv && source .venv/bin/activate pip install -e ".[dev]" # Interactive console(推荐) python argos_console.py ``` 在控制台中: ``` argos> guide # Explica la arquitectura y el flujo argos> start # Inicia una mision argos> demo # Demo narrada de 6 fases con el motor de decision argos> lab # Verifica el laboratorio (6 targets vulnerables) argos> status # Estado detallado de la mision argos> test unit # Corre los 34 tests unitarios argos> help # Todos los comandos ``` 你也可以使用传统的 CLI: ``` python ui/cli.py start -t 10.0.0.0/24 -g domain_admin -p balanced python ui/cli.py dashboard # TUI a pantalla completa python ui/cli.py arsenal build stager --os linux --arch amd64 ``` ## 控制台命令 ``` argos> guide Arquitectura y flujo de ARGOS argos> start [t] [g] [p] Iniciar mision (default: 10.100.0.0/24 domain_admin balanced) argos> start --auto Iniciar con auto-aprobacion argos> demo [--fast] Demo narrada de 6 fases argos> status Estado detallado argos> agent register ... Registrar agente argos> agent list Listar agentes argos> agent find ... Simular hallazgo argos> decide list Decisiones pendientes argos> decide approve Aprobar (HITL) argos> decide reject Rechazar (HITL) argos> lab Laboratorio (6 targets) argos> test unit 34 tests argos> quit Salir ``` ## 项目结构 ``` ├── main.py # Director entrypoint ├── config.yaml # Global config ├── pyproject.toml # Dependencies & tooling ├── core/ # Decision engine │ ├── director.py # Mission orchestrator │ ├── event_bus.py # Async pub/sub │ ├── knowledge_tree.py# Live World Graph (NetworkX) │ ├── planner.py # A* attack path planner │ ├── cbr.py # Case-Based Reasoner (Qdrant + embeddings) │ ├── rules_engine.py # Tactical rules (~500 lines, 10+ services) │ ├── decision_fusion.py# Weighted fusion of 3 engines │ ├── recon_manager.py # Auto-recon dispatch │ ├── exploit_manager.py# Exploit dispatch (agent / MSF) │ └── msf_rpc.py # Metasploit RPC integration ├── database/ # SQLAlchemy models (SQLite WAL) ├── api/ # gRPC server (protobuf) ├── ui/ # CLI (Click + Rich) & TUI (Textual) ├── arsenal/ # Malware factory │ ├── builder.py # Go/Rust compiler + obfuscation │ └── crypter.py # AES-GCM payload crypter + Go loader gen ├── evasion/ # Traffic camouflage (Chameleon C2) ├── ctf/ # Flag hunter + auto-submitter ├── agents/ # Go field agents │ ├── stager/ # Initial access payload │ ├── cell/ # Full persistent agent │ │ ├── recon/ # Port scanner + SMB enum │ │ ├── exploit/ # Shellcode injection (syscalls) │ │ └── post/ # Credential dump + persistence │ └── python_cell/ # Python test agent ├── tests/ # Test suite │ ├── test_director.py # 36 unit tests (core engine) │ ├── mock_agent.py # Event bus simulation │ ├── demo_integration.py# End-to-end demo │ └── docker-compose-lab.yml# Vulnerable lab (6 targets) └── shared/proto/ # Protobuf schema ``` ## 决策引擎 Director 通过一个**实时世界图** (NetworkX MultiDiGraph) 来评估战场。每次 agent 的发现(主机、服务、凭证、flag)都会更新该图。为了决定下一步行动: | 引擎 | 权重 | 方式 | |--------|--------|-----| | **A* 规划器** | 45% | 通过漏洞利用边找到通往目标的静默/快速路径 | | **CBR 记忆** | 30% | 向量相似度搜索 (Qdrant + SentenceTransformers) — 以前什么方法有效? | | **规则引擎** | 25% | 针对已知服务的确定性规则 (SSH → 暴力破解, SMB 445 + Win7 → EternalBlue, 等) | **全局防御状态 (GDS)** 会跟踪敌方网络的偏执程度 (0.0–1.0)。当达到 0.90 时,**紧急停止开关** 被触发 — 所有 agent 进入休眠状态。 ## Go Agents ``` # 编译 stager(初始访问) make build-stager # plain: agents/stager/stager.exe make build-stager-obf # garble-obfuscated # 编译 cell(完整 agent) make build-cell # agents/cell/cell.exe # Cross-compile for Linux make build-stager-linux ``` ## Docker 实验环境 ``` docker-compose -f tests/docker-compose-lab.yml up -d ``` 在 `10.100.0.0/24` 上启动: - **10.100.0.20** — Apache 2.4.49 (CVE-2021-41773) - **10.100.0.21** — SSH 弱口令 (admin:admin123) - **10.100.0.22** — MySQL 5.7 无认证 - **10.100.0.23** — vsftpd 2.3.4 后门 (CVE-2011-2523) - **10.100.0.24** — Redis 无认证 - **10.100.0.30** — DVWA Web 应用 ``` docker-compose -f tests/docker-compose-lab.yml down ``` ## 测试 ``` # 完整套件(34 个通过,2 个跳过 ML 依赖) pytest tests/ -v --tb=short # 快速 — 跳过 CBR/ML 测试 pytest tests/ -v --tb=short -k "not cbr" # 集成演示 python tests/demo_integration.py ``` ## 依赖项 | 类别 | 库 | |----------|-----------| | 核心 | networkx, pyyaml, grpcio, protobuf | | 决策 | qdrant-client, sentence-transformers, torch (可选) | | API | fastapi, uvicorn, websockets | | DB | sqlalchemy, aiosqlite | | CLI/TUI | click, rich, textual | | 安全 | impacket, scapy, pymetasploit3 | | 开发 | pytest, pytest-asyncio, pytest-cov, black, ruff | 完整安装:`pip install -e ".[all]"` ## 警告
标签:APT仿真, APT模拟, A*算法, CBR, Go语言代理, HITL, Metasploit集成, Mr. Robot, NetworkX, OPA, PE 加载器, Python, Python工具, TUI, TUI仪表盘, Web报告查看器, 云计算, 人在回路, 半自主化攻击平台, 后渗透, 域控提权, 基于案例推理, 安全实验室, 密码管理, 恶意代码分类, 插件系统, 攻击模拟, 无后门, 无线安全, 日志审计, 混合决策引擎, 特权检测, 知识树, 突变策略, 紫队工具, 红队自动化, 网络安全, 网络安全审计, 网络攻防, 网络知识图谱, 自动化渗透测试, 规则引擎, 请求拦截, 逆向工具, 隐私保护, 靶场, 驱动签名利用