🛡️ AEGIS — Adaptive Enforcement & Guardian Intelligence System

A Unified Cybersecurity Platform for Internship Assessment

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📋 Overview

AEGIS is a comprehensive cybersecurity assessment project consisting of three integrated modules:

🔗 Module A: TrustChain

Tamper-Evident Logging System

• Cryptographically linked audit logs using SHA-256 hashing
• Blockchain-inspired chain integrity verification
• HMAC signatures for authentication
• Real-time tamper detection and reporting

🔒 Module B: VaultRun

Controlled Execution Sandbox

• Safe execution of untrusted code with multiple security layers
• Static AST analysis + runtime restrictions
• CPU/memory limits and blacklist enforcement
• Comprehensive violation detection and logging

🍯 Module C: HoneySight

Deception-Based Security Mechanism

• Multiple honeypot traps (fake login, API endpoints, config files)
• Real-time attacker behavior analysis
• Threat scoring and severity classification
• Automated alert generation with geolocation

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🎨 Features

✅ Unified Dark-Themed Dashboard — Professional enterprise UI with real-time updates
✅ Complete API Coverage — RESTful endpoints for all module operations
✅ Persistent Storage — SQLite database for logs, alerts, and execution history
✅ Live Monitoring — Auto-refreshing feeds and animated status indicators
✅ Security-First Design — Input validation, error handling, secure coding practices
✅ Demo Scenarios — Pre-built test cases for all security features

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🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• Node.js 16+ and npm
• Git

Installation

# Clone the repository
git clone <repository-url>
cd AEGIS

# Set up backend
cd backend/module_a_trustchain
pip install -r requirements.txt

# Set up frontend
cd ../../frontend
npm install

# Start the application
# (Detailed instructions in PROJECT_STATUS.md)

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📁 Project Structure

AEGIS/
├── backend/              # Python backend services
│   ├── module_a_trustchain/
│   ├── module_b_vaultrun/
│   ├── module_c_honeysight/
│   └── shared/           # Shared database and utilities
├── frontend/             # React + Tailwind CSS UI
│   └── src/components/   # Module-specific components
├── data/                 # SQLite database files
└── docs/                 # Documentation and final report

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🧪 Testing

Each module includes:

• Sample Data — Realistic test cases for demonstration
• API Testing — curl commands for endpoint verification
• UI Demo Buttons — Pre-loaded scenarios for quick testing
• Edge Cases — Security violation examples

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📊 Grading Rubric Alignment

Task 1: TrustChain (30-35 points)

• ✅ Cryptographic chain integrity
• ✅ Tamper detection (modify/delete/reorder)
• ✅ Persistent storage
• ✅ Performance at scale (10K+ entries)

Task 2: VaultRun (30-35 points)

• ✅ Static analysis (AST + blacklist)
• ✅ Runtime restrictions (CPU/memory/network)
• ✅ Violation handling and logging
• ✅ Integration with TrustChain

Task 3: HoneySight (30-35 points)

• ✅ Multiple honeypot types
• ✅ Behavioral analysis
• ✅ Real-time alerts with severity classification
• ✅ Integration with TrustChain

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📝 Documentation

• PROJECT_STATUS.md — Live progress tracker with run instructions
• Final Report — 2500-word technical analysis (generated after completion)
• API Documentation — Endpoint specifications in each module

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🔒 Security Considerations

• No hardcoded secrets or credentials
• Input validation on all user inputs
• Sanitized error messages (no stack traces exposed)
• Resource limits to prevent DoS
• HMAC-based log authentication

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👨‍💻 Author

Built as part of a cybersecurity internship assessment project.

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📄 License

Educational project — not for production use.

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Status: 🚧 Under Development
Last Updated: 2026-04-01

For detailed progress, see PROJECT_STATUS.md