AI Analysis
Final verdict: SUSPICIOUS
The package D-SafeLogger has a moderate risk score due to its use of shell commands which could pose security risks if not properly controlled. Additionally, the metadata indicates a new or inactive repository with minimal engagement.
- Shell risk due to subprocess execution
- Low activity and incomplete metadata in the git repository
Per-check LLM notes
- Network: No network calls were detected.
- Shell: The use of shell commands and subprocess execution may be legitimate for version control operations but could also indicate potential security risks if not properly controlled.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing or very short, and the git repository is new or inactive with no stars or forks.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 6.0
Found 3 shell execution pattern(s)
.platform == 'win32': os.system('') """Shared configuration validation for D-SafeLogger v23tr: try: result = subprocess.run( ["git", "log", "-1", "--format=%aI", "--", readHONPATH"] ) result = subprocess.run( [sys.executable, str(script), str(tmp_path)],
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
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 "D" 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 D-SafeLogger
Create a Python-based file monitoring tool named 'FileGuard' that utilizes the 'D-SafeLogger' package to log all events related to file system changes. FileGuard should monitor a specified directory for any new files being added, existing files being modified, or files being deleted. It must notify the user via console logs about these events in real-time, ensuring thread-safety and efficient logging even under heavy I/O operations. Key Features: 1. Real-time monitoring of file system changes in a specified directory. 2. Logging of each event (file creation, modification, deletion) using 'D-SafeLogger', ensuring no data loss and thread safety. 3. User-friendly console output for notifications. 4. Configuration options to customize logging behavior through 'D-SafeLogger's 3-layer config pipeline. 5. Ability to set up periodic checks if real-time monitoring is not feasible due to resource constraints. Steps to Implement: 1. Set up a Python virtual environment and install 'D-SafeLogger'. 2. Initialize 'D-SafeLogger' with appropriate configuration settings, utilizing its 3-layer config pipeline for customization. 3. Use the 'watchdog' package to monitor the file system for changes. 4. Integrate 'D-SafeLogger' into the file change detection logic to log every detected event. 5. Implement console notifications for each logged event, demonstrating the use of 'D-SafeLogger' for thread-safe logging. 6. Test the application with various file operations to ensure it correctly logs all events without missing any details. 7. Customize the logging level and format through 'D-SafeLogger's configuration to fit different usage scenarios. 8. Document the setup process, configuration options, and usage examples for 'FileGuard'. This project will showcase the robustness and flexibility of 'D-SafeLogger' in handling concurrent logging tasks while providing a practical utility for monitoring file system activities.