AI Analysis
Final verdict: SAFE
The package exhibits low risks across all assessed categories, with only a slightly elevated metadata risk due to incomplete maintainer information.
- Low network, shell, obfuscation, and credential risks.
- Moderate concern regarding maintainer's incomplete profile.
Per-check LLM notes
- Network: The network call pattern is expected as PyMySQL is designed to connect to MySQL servers over the network.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some suspicion but not enough to conclusively identify it as malicious.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
sock = socket.create_connection( (self.host, self.port), sel
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
Repository PyMySQL/PyMySQL appears legitimate
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 PyMySQL
Create a simple task management application using Python and the PyMySQL package. This application will allow users to manage their daily tasks efficiently by adding new tasks, marking them as completed, and deleting them when they are no longer needed. The application will interact with a MySQL database through PyMySQL to store and retrieve task data. ### Features: 1. **User Registration:** Users can register with a username and password. 2. **Task Management:** Users can add new tasks, mark existing tasks as completed, and delete tasks. 3. **Task Filtering:** Users can filter tasks based on their completion status. 4. **Authentication:** Only registered users can log in and manage their tasks. 5. **Database Interaction:** All interactions with the task data will be handled via PyMySQL. ### Steps to Implement: 1. **Set Up Environment:** Install Python and the required packages including PyMySQL. 2. **Database Setup:** Use PyMySQL to set up a MySQL database and create necessary tables for storing user and task information. 3. **User Authentication:** Implement a registration system where users can create accounts. Store hashed passwords securely. 4. **Task Management Functions:** Develop functions to add, update, and delete tasks. Each function should use PyMySQL to communicate with the database. 5. **User Interface:** Create a command-line interface (CLI) for users to interact with the application. The CLI should provide options to log in, add tasks, mark tasks as completed, and delete tasks. 6. **Testing:** Test each feature to ensure it works as expected and there are no bugs. 7. **Documentation:** Write documentation explaining how to install and use the application. ### Utilization of PyMySQL: - **Connecting to Database:** Use PyMySQL to establish a connection to the MySQL database. - **Executing SQL Queries:** Use PyMySQL to execute SQL queries for CRUD operations on the user and task tables. - **Error Handling:** Implement error handling for database connection issues and query execution failures. This project aims to provide a practical example of how to use PyMySQL for database interaction in a real-world application.