AI Analysis
The package exhibits significant shell execution risks, indicating potential for unauthorized system modifications. While network activity is relatively standard, the combination with shell execution raises suspicion of possible supply-chain attack vectors.
- High shell risk due to execution of commands with elevated privileges
- Standard network calls but combined with shell risks suggest potential supply-chain attack
Per-check LLM notes
- Network: The package makes network calls to check for updates and gather information, which is somewhat standard but could be used for unintended purposes.
- Shell: Executing commands with elevated privileges and potentially from non-standard paths suggests a high risk of unauthorized system modifications or backdoor activities.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 4 network call pattern(s)
try: data = requests.get(url).json() version = data['info']['version']/json' data = requests.get(url).json() plugin_list.append(filter_info(d_list = [] page = requests.get('https://pypi.org/simple') official = requests.gmple') official = requests.get('https://raw.githubusercontent.com/ajenti/ajenti/master/offi
No obfuscation patterns detected
Found 6 shell execution pattern(s)
os.getuid() == 0: subprocess.check_output([sys.executable, '-m', 'pip', 'install', self.spec])v install subprocess.check_output(['/opt/ajenti/bin/ajenti-upgrade']) else:ult paths subprocess.check_output(['ajenti-upgrade']) except FileNotFoundError asndError as e: subprocess.check_output(['/usr/local/bin/ajenti-upgrade']) else:os.getuid() == 0: subprocess.check_output([sys.executable, '-m', 'pip', 'uninstall', '-y', self.spec])r = {} for l in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).splitlines():
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ajenti.org
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author "Ajenti project" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a versatile and user-friendly dashboard application using Python, leveraging the 'ajenti.plugin.plugins' package. This application will serve as a centralized control panel for managing various system tasks on a server or personal computer. The primary goal is to create an intuitive interface where users can monitor and manage their system resources, services, and configurations through a series of plugins provided by the 'ajenti.plugin.plugins' package. ### Application Overview: - **Dashboard Interface**: A clean, responsive web interface that allows users to interact with different plugins. - **Plugin Management**: Users should be able to install, enable, disable, and configure plugins directly from the dashboard. - **Resource Monitoring**: Real-time monitoring of CPU usage, memory consumption, disk space, network traffic, etc. - **Service Control**: Start, stop, restart, and check status of essential services like Apache, MySQL, Docker, etc. - **Configuration Editor**: Edit configuration files for various services without leaving the dashboard. ### Utilizing 'ajenti.plugin.plugins': - **Installation and Configuration**: Integrate the 'ajenti.plugin.plugins' package into your application to handle plugin management. Ensure that the package is installed correctly and configured to load plugins dynamically based on user preferences. - **Dynamic Plugin Loading**: Implement functionality to load plugins at runtime based on user selections or pre-defined configurations. Each plugin should have its own section in the dashboard where it displays relevant information or offers specific actions. - **User Interface Integration**: Design the dashboard UI to reflect the dynamic nature of plugins. For example, if a user installs a new plugin, the dashboard should automatically update to include the new functionality. - **Security Measures**: Since this application will have access to critical system components, ensure robust security measures are in place. This includes authentication for accessing the dashboard, secure handling of configuration files, and proper permissions management. ### Additional Features (Optional): - **Notifications**: Implement a notification system that alerts users about critical events or changes in system status. - **Backup/Restore**: Allow users to back up and restore their system configurations through the dashboard. - **Custom Plugins**: Provide an API or guide for users to create and integrate their own custom plugins. ### Deliverables: - **Source Code**: Well-documented source code following best practices for Python development. - **Documentation**: Detailed documentation explaining how to set up and use the application, including any dependencies and configuration steps. - **Demo Video**: A short video demonstrating key features of the application, showcasing its ease of use and effectiveness.
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