🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly concerning credential handling and sparse metadata, but lacks clear indicators of malicious intent or active exploitation.

Potential unauthorized access to sensitive system files due to '/etc/passwd'
Sparse author metadata

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected.
Credentials: The presence of '/etc/passwd' suggests potential unauthorized access to sensitive system files.
Metadata: The author's details are sparse, but there are no other red flags.

🔬 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 score 2.5

Found 1 credential access pattern(s)

tool_args={"path": "/etc/passwd"}, agent_name="agent", ) assert

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: microsoft.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository microsoft/agent-governance-toolkit 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 adk-agentmesh

Create a mini-application named 'ADKTrustVerifier' using the Python package 'adk-agentmesh'. This application will serve as a governance tool for managing Google ADK (Agent Development Kit) agents, focusing on policy enforcement, trust verification, and maintaining audit logs. Here's a detailed breakdown of the application's requirements and functionalities:

1. **User Interface**: Develop a simple command-line interface (CLI) that allows users to interact with the ADK agents. Users should be able to input commands related to agent management.
2. **Policy Enforcement**: Implement a feature where users can define and apply policies to ADK agents. These policies could include rules about data access, communication protocols, and operational hours.
3. **Trust Verification**: Integrate a trust verification mechanism that checks the authenticity and integrity of ADK agents before allowing them to perform actions within the system. This ensures that only trusted agents are allowed to execute tasks.
4. **Audit Logs**: Maintain a detailed log of all activities performed by the ADK agents. This includes actions taken by agents, time stamps, and any changes made due to policy enforcement.
5. **Integration with 'adk-agentmesh'**: Utilize the 'adk-agentmesh' package to handle the governance aspects such as enforcing policies, verifying trust, and logging audits. Ensure that your application leverages the public preview features of 'adk-agentmesh' effectively.
6. **Testing and Documentation**: Write comprehensive tests to validate the functionality of each feature. Also, create a user manual that explains how to install and use the 'ADKTrustVerifier' application.

By following these guidelines, you'll create a robust, secure, and efficient tool for managing ADK agents, ensuring they operate within defined policies and maintaining a transparent record of their activities.