credkellar-boop/Cyber-Stack
GitHub: credkellar-boop/Cyber-Stack
Cyber-Stack 是一个整合了内核级网络旁路、异步 I/O、模糊测试和本地 AI 推理的高性能攻击性安全审计与编排框架。
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# 🔗 Cyber-Stack
An ultra-high-performance framework combining kernel-level networking, asynchronous I/O, offensive auditing infrastructure, and local generative AI orchestration.
## 🛠️ 架构与核心组件 (徽章)
### 📦 核心编程语言
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### ⚙️ 核心系统 (`/core_systems`)
### 🛡️ 网络安全与攻击性审计 (`/security_fuzzing` & `/red_team_infrastructure`)
### ⚡ 底层基础设施与性能 (`/low_level_perf`)
### 🧠 人工智能 (`/ai_models`)
### 🖥️ 平台、构建系统与软件
## 🎯 它解决的问题
传统的安全审计和自动化渗透测试 pipeline 面临着碎片化、严重的 I/O 瓶颈，以及缺乏智能的实时适应能力等问题。**Cyber-Stack** 通过整合裸机数据包处理（通过 eBPF/XDP 和 DPDK）、内存安全的编排后端（Rust）以及端侧生成式 AI 推理（具备 CUDA 加速的 Llama 3）来解决这一问题。这创建了一个连续、高速、自主的攻击性安全平台，能够分析 payload、绕过 WAF 并编排 exploit，且没有标准 Linux 网络协议栈的延迟开销。
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## 🏗 架构目录
* **`red_team_infrastructure/`**: Core auditing wrappers, tamper scripts, and YARA signatures.
* **`ai_models/`**: Local Llama 3 inference configurations and acceleration pipelines.
* **`low_level_perf/`**: DPDK user-space networking, `io_uring` async engine, and eBPF/XDP hooks.
* **`core_systems/`**: Core business logic, memory-safe abstractions, and fuzzing harnesses.
## ⚙️ Prerequisites
# ⚡ Cyber-Stack
**A high-performance offensive security & AI orchestration monorepo.**
Cyber-Stack bridges traditional Red Team infrastructure (SQLMap, YARA) with local AI (Llama 3) via ultra-low-level kernel networking. Built for maximum throughput and memory-safe vulnerability auditing.
### ✨ 为什么它很酷
* **Local AI Integration:** Wires Llama 3 directly into offensive security workflows.
* **Kernel-Bypass Networking:** Achieves massive throughput using eBPF, XDP, and DPDK.
* **Memory-Safe & Asynchronous:** Orchestrated in Rust with Zig utilities, backed by `io_uring` for true async I/O.
### 🚀 Quick Start
```bash
git clone [https://github.com/credkellar-boop/Cyber-Stack.git](https://github.com/credkellar-boop/Cyber-Stack.git)
cd Cyber-Stack
./build_scripts/compile_all.sh
* Linux Kernel >= 5.15 (Required for advanced `io_uring` and XDP features)
* LLVM/Clang (eBPF compilation)
* Rust (Cargo workspace tooling)
* Zig Compiler (v0.11+ or newer)
* CMake & CUDA Toolkit (For GPU acceleration layers)
## 🔨 构建 Workspace
To build all subsystems, run the specific orchestration targets within the `build_scripts/` directory or trigger language-specific toolchains individually.
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标签：Bash脚本, CISA项目, Docker镜像, Rust, Vectored Exception Handling, XXE攻击, 可视化界面, 本地AI, 漏洞审计, 网络流量审计, 逆向工具