Encrypted Activity Monitoring Tool (Educational)

Short Description

An educational cybersecurity project that demonstrates keyboard activity logging, clipboard monitoring, screenshot capture, AES-based encryption, and secure data recovery for learning secure software design and digital forensics.

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Overview

This project showcases a controlled, educational implementation of an activity monitoring system. Collected data is encrypted locally using AES (CFB mode) and can be decrypted using a separate decryptor script for analysis in a lab environment.

⚠️ Strictly for academic and authorized security research use only.

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Features

• Keyboard input logging (letters & special keys)
• Active window title tracking (Windows)
• Clipboard change monitoring
• Periodic screenshot capture
• System information collection
• AES-128 symmetric encryption with random IV
• Encrypted log archival
• Separate decryption utility

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Requirements

OS

• Windows (required for window title capture)

Python

• Python 3.8+

Dependencies

pip install pynput pycryptodome pyautogui python-dotenv clipboard

Built-in modules used include socket, os, time, datetime, threading, platform, tarfile, ctypes, smtplib, and email.

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Configuration

Create a Config.env file in the project root:

EMAIL_USER=your_email@gmail.com
EMAIL_PASSWORD=your_app_password
EMAIL_RECIPIENT=receiver_email@gmail.com

Use email app passwords, not personal passwords.

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Usage (Controlled Environment Only)

Run Monitoring Module

python keylogger.py

Decrypt Collected Data

python Decrypter.py

Recommended to run inside a virtual machine or sandbox.

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Output Files

• system_info.txt.enc
• keylogger.txt.enc
• keylogger_letters.txt.enc
• clipboard.txt.enc
• screenshots.tar.gz.enc
• key.bin

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Ethical Disclaimer

This project is intended only for educational, academic, and authorized security research.
Running this software on systems without explicit permission is illegal and unethical.

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License

Educational Use Only