## https://sploitus.com/exploit?id=5BEBD996-40A7-5820-A505-F8584E84A3BB
# Autonomous Internal Network Exploitation Engine
The Autonomous Internal Network Exploitation Engine (AINE) is a cybersecurity research project designed to automate internal network security assessments. Inspired by real-world red team methodologies, the platform continuously discovers network assets, enumerates services, identifies vulnerabilities, and analyzes potential attack paths across enterprise environments.
By combining reconnaissance, vulnerability analysis, attack graph generation, and intelligent decision-making, the system helps security teams understand how attackers could traverse a network and compromise critical assets.
The primary objective is to provide defenders with actionable insights into attack surfaces, privilege escalation opportunities, lateral movement paths, and overall organizational risk.
## Features
- Automated host discovery
- Service and port enumeration
- Vulnerability identification
- Attack graph generation
- Intelligent attack path planning
- Privilege escalation analysis
- Lateral movement simulation
- Risk scoring and prioritization
- Automated reporting
- Security posture visualization
## Objective
To develop an autonomous system capable of emulating the reconnaissance and decision-making process of a skilled red team operator by:
- Discovering assets within internal networks
- Identifying exploitable weaknesses
- Building attack graphs
- Selecting optimal exploitation paths
- Simulating controlled attack progression
- Generating comprehensive security reports
# Install dependencies
pip install -r requirements.txt
# Run the application
python main.py
## Tech Stack
- Python
- Nmap
- Neo4j (Attack Graph Storage)
- NetworkX
- Scapy
- SQLite/PostgreSQL
- Docker
- Flask/FastAPI
- React (Dashboard)
cybersecurity
red-team
network-security
attack-graph
autonomous-security
penetration-testing
vulnerability-assessment
security-research
python
enterprise-security