AI Analysis
Final verdict: SAFE
The package exhibits low risk across all assessed categories, with no indications of malicious activities or supply-chain attacks.
- No network calls detected
- No shell execution patterns
- No obfuscation or credential risks
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution observed.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low maintenance and effort, but there's no clear indication of malicious intent.
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with Pyvalve
Create a real-time antivirus scanning tool using the Pyvalve package in Python. This tool will serve as a local file scanner and monitor for any new files being added to a specified directory, performing on-the-fly virus detection using ClamAV through Pyvalve's asyncio capabilities. The application should have the following features: 1. Directory Monitoring: Set up a watch on a user-defined directory where the tool will continuously monitor for any new files added. 2. Asynchronous Scanning: Utilize Pyvalve's async functionality to scan files as they are detected without blocking the main thread, ensuring the tool remains responsive. 3. Real-Time Alerts: Implement an alert system that notifies users via email or console output if a virus is found in a scanned file. 4. User Interface: Develop a simple command-line interface for setting up the initial configuration and viewing results. 5. Configuration File: Allow users to specify settings such as monitored directories, email notification addresses, and scanning intervals through a configuration file. 6. Logging: Keep logs of all scanned files and their statuses for auditing purposes. 7. Graceful Shutdown: Ensure the application can be stopped gracefully, saving any ongoing scans and closing connections properly. Utilize Pyvalve by integrating it into your codebase to handle the communication with the ClamAV server asynchronously. This includes sending file paths for scanning, receiving scan results, and handling any errors that might occur during the scanning process. Remember to leverage Python's asyncio library alongside Pyvalve for efficient asynchronous operations.