AI Analysis
Final verdict: SUSPICIOUS
The package has a moderate metadata risk due to potential new or inactive maintainer activity and lack of community engagement, raising concerns about its legitimacy and ongoing support.
- Moderate metadata risk
- Lack of community engagement
Per-check LLM notes
- Network: The network call to localhost is likely for internal health checks and does not indicate malicious activity.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
- Metadata: The package shows signs of potential new or inactive maintainer activity with no community engagement.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
try: resp = urllib.request.urlopen("http://localhost:8000/health", timeout=2)
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: meok.ai>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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 agent-identity-trust-mcp
Create a web-based mini-application using Python and Flask that serves as a platform for managing AI agent identities and credentials. The application will utilize the 'agent-identity-trust-mcp' package to handle the registration of new AI agents, issuing of digital credentials to these agents, and verification of these credentials. Here's a step-by-step guide on what the application should achieve and how it will be built: 1. **Setup**: Begin by setting up your development environment with Python, Flask, and the 'agent-identity-trust-mcp' package. 2. **User Interface**: Design a simple yet intuitive user interface where users can interact with the system through forms and buttons. Include pages for registering new agents, issuing credentials, and verifying credentials. 3. **Agent Registration**: Implement functionality to allow users to register new AI agents. Use the 'agent-identity-trust-mcp' package to securely manage and store agent information. 4. **Credential Issuance**: Provide a feature where administrators can issue digital credentials to registered agents. Ensure that each credential contains relevant information about the agent's capabilities or permissions. 5. **Credential Verification**: Develop a module within the application that allows any user to input a credential ID and have it verified against the database. This should return whether the credential is valid and associated with an active agent. 6. **Security Measures**: Incorporate robust security practices such as encryption for storing sensitive data, secure authentication methods for accessing the admin panel, and protection against common web vulnerabilities like SQL injection and cross-site scripting. 7. **Testing & Documentation**: Thoroughly test all functionalities of the application to ensure they work as expected. Document the setup process, API usage, and any other necessary information for future maintenance and updates. 8. **Deployment**: Prepare the application for deployment on a cloud service provider of your choice, ensuring that all dependencies are correctly installed and configured. Suggested Features: - User Roles: Introduce different user roles (e.g., Admin, Standard User) with varying levels of access to the system's features. - Audit Logs: Maintain logs of all actions performed within the system for auditing purposes. - Mobile Compatibility: Ensure the application is responsive and works well on mobile devices. - Integration with External Services: Consider integrating the application with external services like email providers for sending notifications about new registrations or credential issuances.