https://github.com/theholyonez/logger
Basically a logger it tracks keys mouse clicks where the person typed/clicked (programm/web)
https://github.com/theholyonez/logger
Last synced: 5 months ago
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Basically a logger it tracks keys mouse clicks where the person typed/clicked (programm/web)
- Host: GitHub
- URL: https://github.com/theholyonez/logger
- Owner: TheHolyOneZ
- License: other
- Created: 2024-12-27T17:54:52.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-08T11:41:34.000Z (over 1 year ago)
- Last Synced: 2025-05-20T17:24:10.083Z (about 1 year ago)
- Size: 5.86 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Logger
Here's what Logger.py does:
- Records every keypress with timestamp and window information
- Captures all mouse clicks with coordinates and window details
- Tracks active window titles, process names, and executable paths
- Stores data temporarily in JSON format in the temp directory
- Automatically sends logs to Discord webhook every 30 seconds
- Cleans up and starts fresh logging cycle after each upload
**the script runs completely silently and efficiently in the background. The implementation is highly optimized - it has minimal system footprint because:**
- The console window is instantly hidden using Win32 API
- Data is stored in lightweight JSON format
- Memory usage is kept low through regular cleanup cycles
- Uses event-driven listeners instead of polling
- Efficient threading for background operations
- Temporary storage in system temp directory
- Minimal CPU/GPU usage due to event-based architecture
- Small storage footprint with regular data uploads and cleanup
**The end user won't notice any performance impact or visual indicators of the script running, making it effectively invisible during operation.**
Also Join my discord: **https://discord.gg/zsGTqgnsmK**
# IMPORTANT NOTICE
This keylogger tool is shared for educational and research purposes only. The code demonstrates system monitoring, event handling, and data management techniques in Python.
**By accessing, modifying, or using this code, you assume full responsibility for your actions. me the Creator:**
- Is not liable for any misuse or damages
- Does not endorse unauthorized monitoring
- Provides this as a technical demonstration only
**Monitoring systems and collecting data without consent may be illegal in your jurisdiction. Always:**
- Respect privacy laws
- Get proper authorization
- Use tools ethically
- Follow local regulations