AI Analysis
Final verdict: SAFE
The package does not exhibit any immediate signs of malicious activity such as network risks, shell risks, obfuscation, or credential harvesting. However, the metadata risk due to the maintainer's inactivity and lack of community engagement warrants cautious monitoring.
- No network calls detected.
- No shell execution patterns found.
- Maintainer seems new or inactive with low community engagement.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "KeyisB" 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 KeyisBTools
Your task is to develop a fully-functional mini-app called 'FileAnalyzer' using the Python package 'KeyisBTools'. This app will serve as a powerful tool for analyzing files within a specified directory, providing insights into file types, sizes, and modification dates. Here's a step-by-step guide on what your application should achieve: 1. **Setup**: Begin by installing 'KeyisBTools' via pip if it's not already installed. Ensure you have a basic understanding of its functionalities from the documentation. 2. **Directory Selection**: Allow users to select a directory for analysis. Implement a user-friendly interface where users can either type the directory path or use a file explorer dialog box. 3. **File Analysis**: Use 'KeyisBTools' to analyze all files within the selected directory. Specifically, extract information about each file's name, size, and last modified date. 4. **Data Presentation**: Display the extracted data in a readable format. Consider using tables or lists to present the information clearly. 5. **Advanced Features**: - **Filtering Options**: Enable users to filter files based on criteria such as file type (e.g., .txt, .jpg), size range, or date range. - **Sorting**: Allow sorting of files based on their names, sizes, or dates. - **Graphical Representation**: Optionally, implement graphical representations of the data using matplotlib or seaborn, showing distributions of file sizes or frequencies of file types. 6. **Export Functionality**: Provide an option for users to export the analyzed data into a CSV file for further analysis or record-keeping. 7. **Error Handling**: Ensure your application gracefully handles errors such as invalid directory paths or permission issues. 8. **Testing**: Write tests to verify that your application functions correctly under various scenarios, including edge cases. 9. **Documentation**: Create a README file detailing how to install, run, and use the 'FileAnalyzer', as well as any dependencies or setup requirements. By completing these steps, you'll have built a versatile and useful tool that leverages 'KeyisBTools' to provide deep insights into file systems.