Build a Keylogger Detection Tool
Create a real-time detection system to identify malicious programs attempting to log keystrokes — a powerful cybersecurity utility to defend against data theft and privacy invasion.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.
Process Monitoring
Track all running processes and inspect for known or suspicious binaries linked to keylogging.
Hook Detection
Detect low-level keyboard hooks or API interceptions using system calls like SetWindowsHookEx.
User Alerts & Action
Notify users when suspicious behavior is detected and give them the option to block or kill the process.
Log Generation
Create logs with timestamps, process names, and detected threats for future analysis.
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.
Language & APIs
Python (with psutil, pywin32) or C++ for low-level process and hook access.
Detection Engine
Use behavioral heuristics or pattern matching to flag potential keyloggers.
UI
Tkinter or Electron.js for desktop alert dialogs and scan dashboards.
Logging & Reports
JSON or SQLite for storing alerts, timestamps, and flagged process information.
1. Set Up Process Scanning
Use psutil or system APIs to fetch and monitor process activity in real time.
2. Hook Detection
Implement checks for common keylogging techniques such as keyboard hook APIs.
3. Alert Mechanism
Create a notification system that informs users of threats and offers remediation steps.
4. Add Signature & Behavior Matching
Compare processes against known patterns and behaviors linked to keyloggers.
5. Logging and Export
Save scan logs for further analysis or reporting in JSON, CSV, or database format.
Guard Your Keyboard, Protect Your Identity
Build a smart detection system to stop keyloggers in their tracks and secure your sensitive inputs from digital snoopers.
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