🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential credential harvesting due to its interaction with '/etc/passwd'. Additionally, the metadata suggests a less established maintainer, raising concerns about its origin and intentions.

Potential credential harvesting from accessing '/etc/passwd'
Less established maintainer indicated by sparse metadata

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no immediate risk from command execution.
Obfuscation: No obfuscation patterns detected.
Credentials: The usage of '/etc/passwd' path might indicate an attempt to access sensitive information, which raises suspicion for potential credential harvesting.
Metadata: The maintainer's author name is missing or very short and has only one package, which could indicate a new or less active account but does not necessarily imply malintent.

🔬 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

Your task is to develop a mini-application named 'AgentTrustVerifier' using the Python package 'adk_agentmesh'. This application will serve as a tool for users to manage and verify the trustworthiness of various Google ADK (Android Device Key) agents within their environment. The application should be designed to enforce policies, verify trust between agents, and maintain audit logs of all interactions. Here’s a detailed breakdown of what your application should accomplish:

1. **User Interface**: Design a simple command-line interface (CLI) that allows users to input commands such as adding new agents, verifying existing ones, enforcing policies, and viewing audit logs.
2. **Agent Management**: Implement functionality to add, remove, and list agents. Each agent should have unique identifiers and associated metadata like IP addresses, roles, etc.
3. **Policy Enforcement**: Use 'adk_agentmesh' to define and enforce security policies for each agent. These policies could include rules about permitted actions, communication protocols, and data handling practices.
4. **Trust Verification**: Develop a mechanism to verify the trustworthiness of agents based on predefined criteria. This could involve checking digital signatures, comparing against a trusted list, or evaluating compliance with set policies.
5. **Audit Trails**: Ensure that every interaction with the system is logged, including agent activities, policy changes, and trust verifications. Logs should be stored securely and be accessible through the CLI for review.
6. **Security Enhancements**: Consider implementing additional security measures such as encryption for sensitive data, secure storage of keys, and protection against common vulnerabilities.
7. **Documentation**: Provide comprehensive documentation explaining how to install and use 'AgentTrustVerifier', including setup instructions and examples of common tasks.

By following these steps, you'll create a robust and user-friendly tool that leverages the capabilities of 'adk_agentmesh' to enhance security and trust in multi-agent systems.