agentmesh_control_plane

v3.7.0 suspicious
8.0
High Risk

Layer 3: The Framework - A deterministic kernel for zero-violation governance in agentic AI systems with POSIX-style signals, VFS, and kernel/user space separation

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to shell execution, obfuscation, and credential manipulation. These factors suggest potential malicious intent, though no definitive evidence of harmful activity was found.

  • High shell risk indicating possible execution of arbitrary code
  • Potential credential manipulation through interaction with sensitive system files
Per-check LLM notes
  • Network: No network calls were detected, which is not necessarily suspicious but may warrant further investigation if the package's purpose involves network communication.
  • Shell: The detected shell execution pattern suggests potential execution of arbitrary code, which could indicate malicious intent or the presence of a backdoor. Further analysis is required to confirm its legitimacy.
  • Obfuscation: The observed code pattern suggests base64 decoding and splitting, which could be used for obfuscating malicious payloads or scripts.
  • Credentials: The package attempts to read and possibly write to sensitive system files like '/etc/passwd', indicating potential unauthorized access or tampering.
  • Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not enough to conclusively label it as malicious.

📦 Package Quality Overall: Medium (7.4/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • Test runner config found: pyproject.toml
  • 6 test file(s) detected (e.g. test_a2a_adapter.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/microsoft/agent-governance-toolkit/tree/m
  • Detailed PyPI description (1629 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 616 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 14 unique contributor(s) across 100 commits in microsoft/agent-governance-toolkit
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • ortlib, json, sys, time raw = base64.b64decode(sys.stdin.buffer.read()) parts = raw.split(b"|", 2) if len(p
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • "|" + payload) proc = subprocess.Popen( [sys.executable, "-c", _SUBPROCESS_BOOTSTRAP],
⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • .FILE_READ, {"path": "/etc/passwd"} ) print(f" Success: {result3['success']}") i
  • .FILE_READ, {"path": "/etc/passwd"} ) print(f"✗ System file access: {result['success'
  • , tool_args={"path": "/etc/passwd", "content": "evil"} ) print(f"Tool: write_file (pa
  • rint(f"Tool: write_file (path=/etc/passwd)") print(f"Result: {result}") print(f"Status: {resu
  • print("\n Action 2: Write /etc/passwd") kernel.intercept_tool_execution( "audit-agent
  • rite_file", {"path": "/etc/passwd"}, input_prompt="User: Update system file", )
✓ 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 2.0

1 maintainer concern(s) found

  • Author "Microsoft Corporation" 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 agentmesh_control_plane 
Create a mini-application named 'AgenticFileExplorer' that leverages the 'agentmesh_control_plane' Python package to demonstrate a simplified version of an agentic AI system's file management capabilities. This application will simulate a POSIX-compliant environment where users can interact with a virtual filesystem (VFS) through a command-line interface (CLI). The goal is to showcase the deterministic governance framework provided by 'agentmesh_control_plane', including signal handling and the separation between kernel and user spaces.

### Key Features:
1. **User Space Interface**: Implement a CLI that allows users to perform basic file operations such as `ls`, `cd`, `mkdir`, `rm`, and `cat`. These commands should be executed within a simulated VFS.
2. **Kernel Space Management**: Use 'agentmesh_control_plane' to manage these operations in a way that ensures no violations occur. This includes handling POSIX-style signals to control the execution flow and enforce rules on file access.
3. **Deterministic Execution**: Ensure that all operations are deterministic, meaning that given the same input, the application produces the same output every time it runs.
4. **Security and Isolation**: Demonstrate how 'agentmesh_control_plane' enforces security and isolation by preventing unauthorized access to files and directories.
5. **Logging and Monitoring**: Implement logging to record all operations performed by the CLI and any signals sent by the kernel space. Additionally, provide monitoring capabilities to observe the state of the VFS.

### Steps to Build the Application:
1. **Setup Environment**: Install Python and the 'agentmesh_control_plane' package.
2. **Design the Virtual File System (VFS)**: Define the structure of the VFS and implement basic file operations using 'agentmesh_control_plane'.
3. **Implement CLI Commands**: Develop the CLI commands mentioned above, ensuring they interact correctly with the VFS under the governance of 'agentmesh_control_plane'.
4. **Signal Handling**: Integrate signal handling mechanisms to manage operations based on POSIX standards.
5. **Testing and Validation**: Test the application thoroughly to ensure determinism and compliance with security policies. Validate that all operations behave as expected and that there are no unintended side effects.
6. **Documentation and User Guide**: Write comprehensive documentation and a user guide explaining how to use the application, its features, and how it leverages 'agentmesh_control_plane'.

This project will not only serve as a practical demonstration of 'agentmesh_control_plane' but also as a valuable learning tool for understanding advanced concepts in agentic AI systems.