🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity such as network calls, shell execution, or obfuscation. However, the metadata risk score is elevated due to sparse author information and a potentially inactive account, which raises concerns about its origin and legitimacy.

Sparse author information
Potentially inactive account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author information is sparse and the account seems new or inactive, raising some suspicion but not conclusive evidence of 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-conformance

Create a Python-based time management application named 'TimeGuardian' that leverages the 'aevum-conformance' package to ensure its internal clock operations adhere strictly to 9 behavioral invariants specified by the package. These invariants help maintain consistency and accuracy across various time-related functionalities. Your task includes designing and implementing the following key features:

1. **Event Scheduling**: Users should be able to schedule events at specific times or intervals. This feature will use 'aevum-conformance' to validate the scheduling logic against the invariants, ensuring that no drift occurs over time.

2. **Time Zone Conversion**: Implement a robust time zone conversion tool within TimeGuardian. It must accurately convert scheduled events between different time zones while maintaining strict compliance with the invariants provided by 'aevum-conformance'.

3. **Real-Time Clock Adjustment**: Integrate a feature that automatically adjusts event schedules based on real-time clock updates (e.g., daylight saving time changes). This adjustment process should be validated using 'aevum-conformance' to ensure no discrepancies arise from these changes.

4. **User Interface**: Develop a simple yet intuitive graphical user interface (GUI) using a library like Tkinter. The GUI should allow users to interact with all the above features seamlessly.

5. **Testing Suite**: Alongside the main application, create a comprehensive testing suite that utilizes 'aevum-conformance' extensively. This suite should test the application's adherence to the 9 invariants under various scenarios, including edge cases and stress tests.

Your implementation should demonstrate a deep understanding of both the 'aevum-conformance' package and the importance of accurate time management in software applications. Document your code thoroughly and include comments explaining how each part interacts with the 'aevum-conformance' package.