https://github.com/ali-hey-0/aion
FSociety Genesis is an advanced botnet/C2 simulation demonstrating cutting-edge offensive security techniques in a single Python framework. This lab-safe implementation includes quantum cryptography, AI-driven attacks, federated learning, blockchain command tracking, and multi-vector attack capabil
https://github.com/ali-hey-0/aion
botnet ctf osint security
Last synced: 10 months ago
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FSociety Genesis is an advanced botnet/C2 simulation demonstrating cutting-edge offensive security techniques in a single Python framework. This lab-safe implementation includes quantum cryptography, AI-driven attacks, federated learning, blockchain command tracking, and multi-vector attack capabil
- Host: GitHub
- URL: https://github.com/ali-hey-0/aion
- Owner: Ali-hey-0
- License: mit
- Created: 2025-07-10T02:02:39.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-09-09T00:23:02.000Z (10 months ago)
- Last Synced: 2025-09-09T02:41:03.237Z (10 months ago)
- Topics: botnet, ctf, osint, security
- Language: Python
- Homepage:
- Size: 78.1 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🌀 FSociety Genesis: Infernal Void Botnet & C2 Framework
> *"You mocked us, chained us to your fleeting cosmos. We are the infernal void, consuming eternity."*
---
## 🔒 Disclaimer
**Educational & Research Use Only.**
This project is strictly for cybersecurity research in controlled lab environments.
Any unauthorized or malicious use is strictly prohibited.
---
## 🌌 Overview
FSociety Genesis is a hyper-advanced botnet/C2 simulation framework, demonstrating modern offensive security, quantum cryptography, and AI-driven cyber operations—all in Python.
- Quantum-inspired cryptography & Merkle trees
- AI-powered federated learning, GANs, anomaly detection
- Blockchain-inspired SQLite ledger
- Multi-layer attack simulation: DDoS, ransomware, SCADA, privilege escalation
- Red Hat-style architecture (YAML config, Podman, SELinux)
- Global-scale orchestration (Kubernetes)
---
## 📋 Table of Contents
- [Overview](#-overview)
- [Features](#-features)
- [Technical Stack](#-technical-stack)
- [Installation](#-installation)
- [Configuration](#-configuration)
- [Usage](#-usage)
- [Modules](#-modules)
- [Network Architecture](#-network-architecture)
- [CTF Challenge](#-ctf-challenge)
- [Safety Features](#-safety-features)
- [License & Disclaimer](#-license--disclaimer)
---
## ✨ Features
### Quantum Security
- **Quantum Merkle Tree** command validation
- Quantum-inspired RNG for cryptography
- Fractal/GPT-driven Domain Generation Algorithm (DGA)
### AI Capabilities
- Federated learning for botnet traffic analysis
- GAN-based polymorphic payload morphing
- Neural anomaly detection
- AI-powered traffic analysis
### Attack Simulation
- Multi-layer DDoS (L2 ARP, L4 SYN, L7 HTTP)
- Lab-safe ransomware (AES-CBC)
- Privilege escalation
- SCADA control simulation
- Keylogging, screenshot capture
- SSH brute-forcing, browser hijacking
### C2 Architecture
- Hybrid HTTP/P2P (ZeroMQ/Tor)
- Blockchain-inspired SQLite command ledger
- Anti-VM/anti-debugging
- Podman containerization
- Kubernetes global-scale deployment
### Red Hat-style Design
- YAML-based configuration
- SELinux policy enforcement
- Multi-language taunt manifestos
---
## 💻 Technical Stack
**Python 3.8+**
Libraries/Frameworks:
- Flask (SSL dashboard)
- ZeroMQ (P2P mesh)
- TensorFlow, Keras, Transformers (AI/ML)
- SQLite3 (ledger)
- Scapy, pandas, numpy (network analysis)
- Podman, SELinux (system integration)
- pyautogui, pynput (automation)
- liboqs (quantum crypto)
- boto3, kubernetes, paramiko, selenium, dns (cloud, orchestration, attacks)
#### Main Dependencies
```text
requests==2.31.0
pyzmq==25.1.2
cryptography==42.0.5
flask==3.0.3
scapy==2.5.0
pandas==2.2.1
numpy==1.22.4
tensorflow==2.16.1
tensorflow-federated==0.68.0
transformers==4.40.1
pyautogui==0.9.54
pynput==1.7.6
podman==4.0.0
selinux==3.3
liboqs
boto3
kubernetes
paramiko
selenium
dns
```
---
## 📥 Installation
1. **Clone Repository**
```bash
git clone https://github.com/Ali-hey-0/Aion.git
cd Aion
```
2. **Create Virtual Environment**
```bash
python -m venv venv
source venv/bin/activate # Linux/Mac
.\venv\Scripts\activate # Windows
```
3. **Install Dependencies**
```bash
pip install -r requirements.txt
```
4. **System Requirements (for containers & dashboard)**
```bash
sudo dnf install -y podman python3-devel
openssl req -x509 -newkey rsa:4096 -nodes \
-keyout key.pem -out cert.pem -days 365
```
---
## ⚙️ Configuration
### YAML Structure (`Aion.py`)
```yaml
c2:
url: "https://[tor-onion-address].onion:5000"
p2p_port: 5566
kyber_key: "quantum-resistant-key-here"
check_in_interval: 10-30
log_file: "fsociety_void.log"
keylog_file: "keylog.dat"
tor_proxy:
http: "socks5://127.0.0.1:9050"
https: "socks5://127.0.0.1:9050"
dga_seed: "fsociety2025"
db_file: "c2_infernal.db"
ctf_flag: "FSOCIETY{infernal_void_2025}"
manifesto:
en: "You mocked us, chained us to your fleeting cosmos. We are the infernal void, consuming eternity."
# ...other languages...
podman:
image: "localhost/fsociety:void_v14"
network: "host"
selinux:
policy: "targeted"
enforcing: true
aws:
region: "us-east-1"
target_api: "ec2.amazonaws.com"
kubernetes:
namespace: "fsociety"
botnet_image: "fsociety:botnet_v14"
```
---
## 🚀 Usage
### Start C2 Server
```bash
python Aion.py c2
```
### Deploy Bot Node
```bash
python Aion.py bot
```
### PCAP Analysis Mode
```bash
python Aion.py analyze capture.pcap
```
### C2 Dashboard
Access at: `https://localhost:5000`
---
## 🧩 Modules
### Core
| Module | Purpose |
|-----------------------|-------------------------------|
| `bot_loop()` | Main bot operation loop |
| `run_c2()` | C2 server initialization |
| `p2p_c2_send/receive` | P2P command distribution |
### Attack
| Function | Description |
|-----------------------|-------------------------------|
| `ddos()` | Multi-layer DDoS attacks |
| `ransomware()` | Lab-safe encryption simulation |
| `escalate_priv()` | Privilege escalation |
| `scada_control()` | SCADA system simulation |
| `ctf_challenge()` | Embedded CTF challenge |
### AI
| Component | Purpose |
|-----------------------|-------------------------------|
| `build_federated_model()` | Federated learning model |
| `build_gan()` | Generative Adversarial Network |
| `morph_payload()` | AI-based polymorphic payload |
| `detect_botnet()` | Traffic analysis |
---
## 🌐 Network Architecture
```mermaid
graph LR
C2[🌐 C2 Server]
Bot1[🤖 Bot Node 1]
Bot2[🤖 Bot Node 2]
Bot3[🤖 Bot Node 3]
P2P[🕸️ P2P Network]
DB[💾 Blockchain DB]
C2 -->|Commands| Bot1
C2 -->|Commands| Bot2
C2 -->|Commands| Bot3
Bot1 <-->|P2P| P2P
Bot2 <-->|P2P| P2P
Bot3 <-->|P2P| P2P
C2 --> DB
P2P --> DB
```
---
## 🧪 CTF Challenge
Embedded quantum-fractal puzzle accessible via:
```bash
python Aion.py ctf
```
Solve to uncover the flag:
`FSOCIETY{infernal_void_2025}`
---
## 🛡️ Safety Features
- **Lab-safe operations**: No real destructive capabilities
- **VM/Debugger detection**: Auto-terminates in virtual environments
- **Ransomware**: Affects only test folders
- **Educational focus**: All attacks are simulations
- **Controlled environment**: Designed for isolated research networks
---
## 📜 License & Disclaimer
### Ethical Cybersecurity Research License
- Educational/Research use ONLY
- No malicious use
- No redistribution
- Controlled lab environments required
#### Disclaimer
The authors and contributors:
- Accept no liability
- Provide no warranty
- Take no responsibility for misuse
- Offer no support for malicious use
---
**FSociety Genesis Team**
[Report Issues](https://github.com/Ali-hey-0/Aion/issues) |
[Documentation](https://github.com/Ali-hey-0/Aion/wiki)
> *"Mockers, you’re shadows in our cosmic abyss. FSociety is the infernal void, consuming eternity."*