Build a Keylogger Detection Tool

Keyloggers silently monitor and log every keystroke typed on a system, often used by attackers to steal passwords, credit card numbers, and other confidential data. Detecting and blocking keyloggers is critical for protecting user privacy and securing sensitive information.

The tool continuously monitors system processes and APIs for suspicious activity. It looks for signs like keyboard hook injections, abnormal key event logging, and stealthy background programs. It alerts the user and optionally terminates malicious processes.

The system scans all active processes and checks for signs of keyboard hook registration or suspicious system calls. It uses signature-based and behavior-based techniques to identify likely keyloggers, then alerts the user or terminates the process based on configuration.

• Continuously scan background processes and services.
• Analyze system calls related to keyboard input logging or screen capturing.
• Check process signatures against a keylogger signature database.
• Flag suspicious processes and notify the user with severity level.
• Allow user to safely terminate the threat and export logs for records.

• psutil – Process Utilities for Python
• pywin32 for Windows API Access
• Hooking in Windows: SetWindowsHookEx
• Behavioral Detection of Keyloggers
• VirusTotal API for Signature Checking