Protect your Python applications from unwanted debugging and virtualization environments with PythonProtector! This tool provides robust defense mechanisms to detect and prevent various forms of analysis and reverse engineering techniques.
- Triage Detection: Identifies if your application is being analyzed in a triage environment.
- Monitor Metrics: Tracks system metrics to spot abnormal behavior typically associated with virtual environments.
- VirtualBox Detection: Detects if Oracle's VirtualBox is running, preventing execution in virtualized setups.
- VMware Detection: Identifies the presence of VMware, another popular virtualization platform.
- KVM Check: Detects Kernel-based Virtual Machine (KVM) hypervisors to prevent virtualized execution.
- Username Validation: Ensures that the current user is not a default username typically used by virtual machines.
- Recent User Activity Check: Verifies user activity by checking file interactions; exits if fewer than 20 files are found.
- USB Mount Detection: Checks for previously plugged USB devices, a common sign of virtual machine images.
- QEMU Detection: Identifies the use of QEMU virtualization, helping you detect environments built with QEMU.
- Parallels Check: Detects if Parallels virtualization software is in use.
- VM Artifacts Search: Looks for common artifacts that suggest a virtual machine environment, helping to confirm if the app is running in a VM.
- Debugger Detection: Uses the
IsDebuggerPresentAPI to check if a debugger is attached to your process. - Remote Debugger Detection: Identifies if a remote debugger is trying to access your application.
- System Uptime Check: Monitors system uptime to detect if the system has been recently restarted, a common sign of debugging attempts.
- Blacklisted Window Names: Checks if the process is running under a suspicious or blacklisted window name commonly associated with debuggers.
- Suspicious Process Detection: Lists and checks running processes, terminating known malicious or debugging-related processes.
- Parent Process Check: Examines if the parent process is attempting to debug the current process, preventing unauthorized debugging.
- Malicious Process Termination: Actively kills processes that are known to be harmful or associated with reverse engineering tools.
- Internet Connectivity Check: Ensures that an internet connection is available, which can be a sign of external debugger communication.
- Critical Process Setup: Sets your process as critical, making it harder for attackers to kill or tamper with.
PythonProtector is an all-in-one solution designed to fortify Python applications against reverse engineering. It provides comprehensive anti-debugging and anti-virtualization capabilities, ensuring that your software stays secure from unwanted interference. Whether you want to detect debugging tools, virtualization environments, or malicious processes, PythonProtector has got you covered!
- Advanced Debugging Protection: Detects common debugging techniques and prevents unauthorized access.
- Virtualization Environment Detection: Identifies popular virtual environments like VMware, VirtualBox, KVM, and more.
- System Monitoring: Tracks system and user activity to detect abnormal or suspicious behavior.
- Process Security: Ensures your process remains secure and resistant to external tampering or termination.
Simply integrate PythonProtector into your Python application to gain immediate protection against debugging and virtualization attempts. The library is designed to be easy to use and seamlessly integrates with your code. You can customize checks and defenses according to your specific needs.
Let PythonProtector safeguard your Python applications and ensure they remain robust, even in hostile environments. 🚀