🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, obfuscation, and credential aspects, but the metadata risk score is moderately high due to the missing author information and potential inactivity, raising suspicion.

Missing author details
Potential inactivity of the author

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 immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author's name is missing and they appear to be new or inactive, which raises some concern but does not definitively indicate 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

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-agent

Create a fully functional mini-application called 'AevumGuard' that leverages the 'aevum-agent' Python package to manage and secure interactions between different AI agents following the A2A v1.0 protocol. This application will serve as an intermediary, ensuring that all communications between agents are compliant with established governance rules and security protocols. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Begin by setting up your development environment with Python 3.x installed. Ensure you have access to the latest version of the 'aevum-agent' package.

2. **Project Structure**: Design your project structure with clear directories for source code, configuration files, and any necessary assets. Organize your code into modules for better readability and maintainability.

3. **Configuration Management**: Implement a robust configuration management system within 'AevumGuard'. Users should be able to customize various settings such as logging levels, security policies, and network timeouts through a simple configuration file.

4. **Agent Registration & Authentication**: Utilize 'aevum-agent' to register new agents and authenticate existing ones. Develop a secure registration process that requires agents to prove their identity and compliance with governance rules before they can communicate.

5. **Intercepting & Governing Interactions**: Use 'aevum-agent' to intercept all messages sent between agents. Analyze these messages against predefined rules to ensure they adhere to security policies and ethical guidelines. Implement mechanisms to block or flag non-compliant messages.

6. **Logging & Monitoring**: Incorporate comprehensive logging capabilities to track all intercepted communications and governance actions. Provide real-time monitoring tools to help administrators quickly identify and respond to potential threats or policy violations.

7. **User Interface**: While primarily command-line based, consider adding a basic web interface using frameworks like Flask or Django. This UI should allow users to view logs, manage configurations, and monitor active agents.

8. **Testing & Documentation**: Rigorously test 'AevumGuard' across various scenarios to ensure its reliability and effectiveness. Write detailed documentation explaining how to install, configure, and use 'AevumGuard', including examples of common use cases and best practices.

Through this project, you'll gain hands-on experience with advanced AI governance techniques and the powerful 'aevum-agent' package.