AI Analysis
Final verdict: SUSPICIOUS
The package shows signs of potential misuse due to shell execution capabilities, although no direct evidence of malicious intent is found. Further investigation into the purpose of these shell executions is recommended.
- Shell execution detected
- Unclear context of shell execution
Per-check LLM notes
- Network: No network calls detected, indicating low risk for direct data exfiltration or C2 communications.
- Shell: Shell execution is present but without additional context, it's unclear if it's malicious; could be part of legitimate functionality.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
lines_output=output, shell=True) if output and "\0" in output[0]: # fix error for
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AndiEcker" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aedev-commands
Create a fully-functional command-line tool using the Python package 'aedev-commands' that simplifies common software development tasks. This tool should serve as a personal assistant for developers, streamlining their workflow and reducing repetitive manual tasks. ### Features: 1. **Project Initialization**: Automatically set up a new Python project with a basic directory structure and necessary files (e.g., README.md, .gitignore). 2. **Dependency Management**: Integrate with pip to install, upgrade, and manage project dependencies. 3. **Code Formatting**: Implement code formatting using black or another preferred formatter, ensuring consistency across the project. 4. **Linting and Quality Assurance**: Use flake8 or similar tools to check for style and syntax issues, enhancing code quality. 5. **Documentation Generation**: Automatically generate documentation from docstrings using Sphinx or mkdocs. 6. **Version Control Integration**: Provide easy-to-use commands for committing changes, pushing to remote repositories, and pulling updates. 7. **Testing Framework Setup**: Quickly set up a testing framework (e.g., pytest) and run tests. 8. **Environment Management**: Facilitate the creation and management of virtual environments. 9. **Custom Commands**: Allow users to define and execute custom commands specific to their projects. ### Utilization of 'aedev-commands': - Leverage 'aedev-commands' for its operation commands helpers to streamline the implementation of each feature listed above. - Use 'aedev-commands' to handle the execution of external commands such as those related to dependency management, version control, and environment setup. - Explore the 'aedev-commands' documentation to identify any additional functionalities that could enhance the tool's capabilities, such as logging, error handling, or interactive prompts. ### Deliverables: - A well-documented Python script implementing the command-line tool. - Clear instructions on how to install and use the tool. - Examples demonstrating the tool's usage for various tasks. - A README file summarizing the project, including installation instructions, usage examples, and a roadmap for future enhancements.