🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the incomplete author information and new/inactive account raise concerns about potential supply-chain risks.

Incomplete author information
New or inactive author account

Per-check LLM notes

Network: No network calls detected, which is normal for a PostgreSQL client library.
Shell: No shell execution patterns detected, indicating the package does not attempt to execute arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author's information is incomplete and the account seems new or inactive, which raises some suspicion but not enough to conclusively determine malice.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aevum-labs/aevum appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 aevum-store-postgres

Create a personal data management app using the 'aevum-store-postgres' package, which integrates a PostgreSQL GraphStore and ConsentLedger backend for team deployments. This application will allow users to securely store and manage their personal information, ensuring they have control over who can access it and under what conditions. Here’s a step-by-step guide on how to build this app:

1. **Setup Environment**: Begin by setting up your development environment. Install Python, PostgreSQL, and the 'aevum-store-postgres' package.
2. **Database Configuration**: Configure the PostgreSQL database to work with the 'aevum-store-postgres' package. Ensure you understand how to use GraphStore for storing relationships between different pieces of data and ConsentLedger for managing user consent and access controls.
3. **User Authentication**: Implement a simple user authentication system allowing users to register, login, and manage their accounts. Use secure practices for handling passwords.
4. **Data Entry Interface**: Create a user-friendly interface where users can enter various types of personal data such as contact information, medical records, and educational qualifications.
5. **Graph Store Integration**: Utilize the GraphStore feature to map out relationships between different data entries. For example, link a person’s educational qualification to their employer.
6. **Consent Management**: Implement a feature where users can specify who can view certain pieces of information. This could involve creating different levels of access permissions based on user consent.
7. **Access Control**: Develop functionality that enforces the access rules defined by users through the ConsentLedger. Only authorized individuals should be able to see specific data.
8. **Data Export/Import**: Allow users to export their data in a secure format and import it back into the system if needed.
9. **Testing & Security**: Thoroughly test the application for both functionality and security. Ensure all data is encrypted and access controls are strictly enforced.
10. **Documentation**: Write clear documentation explaining how to set up and use the application, including best practices for maintaining data privacy and security.

By following these steps, you'll create a robust, privacy-focused application that leverages the advanced features of 'aevum-store-postgres'.