AI Analysis
Final verdict: SUSPICIOUS
The package has some concerning metadata indicators such as a short author name, inactive maintainer, and lack of community engagement, raising suspicion. However, no direct malicious activities were detected.
- Short author name
- Inactive maintainer
- Lack of community engagement
Per-check LLM notes
- Network: No network calls detected, which is normal for most utility packages.
- Shell: Use of os.system for clearing the terminal can be benign but should be reviewed for context and necessity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including a short author name, an inactive maintainer, and a lack of community engagement.
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)
ist.") def clear(): os.system('cls' if os.name == 'nt' else 'clear') logrec.log(path,
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
score 3.0
Suspicious email domain flags: Very short email domain: qq.com>
Very short email domain: qq.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 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 LogrecAndPYcmd
Create a comprehensive file management and logging utility using the 'LogrecAndPYcmd' package. Your application will be called 'FileMaster'. Here’s a step-by-step guide on what your application should do and how you can utilize the 'LogrecAndPYcmd' package effectively: 1. **Setup**: Initialize your Python environment with necessary packages. Ensure you have 'LogrecAndPYcmd' installed. If not, install it via pip. 2. **Core Functionality**: - Use the 'PYcmd' module of 'LogrecAndPYcmd' to create a command-line interface (CLI) for file management tasks such as creating, deleting, renaming, copying, moving, and listing files/directories. - Implement a feature within 'PYcmd' that allows users to view the contents of text files directly from the CLI. 3. **Logging**: - Integrate the 'logrec' module of 'LogrecAndPYcmd' to automatically log all user actions performed through the CLI to a log file. Each entry should include the action performed, timestamp, and any relevant details. - Allow users to search through these logs using keywords or timestamps. For example, a user could query “show me all actions performed yesterday”. 4. **Enhanced Features**: - Add an option to export logs to different formats like CSV or JSON. - Implement a simple file comparison tool within 'PYcmd' that compares two files and highlights differences. 5. **User Interface**: - Design a clean and intuitive CLI with clear prompts and help messages. - Include error handling to gracefully manage incorrect commands or invalid inputs. 6. **Testing**: - Write test cases to ensure each feature works as expected, especially focusing on edge cases in file operations and log management. 7. **Documentation**: - Provide a README file explaining how to set up and use 'FileMaster', including examples of common commands and their usage. 8. **Deployment**: - Package your application into a distributable format (e.g., a .exe for Windows or a .app for macOS) and make it available for download. By following these steps, you'll create a robust file management and logging utility that leverages the unique capabilities of the 'LogrecAndPYcmd' package.