argo-shim

v0.3.11 suspicious
5.0
Medium Risk

HTTP proxy shim for Argo API via SSH tunnel

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its network and shell execution behaviors, along with incomplete metadata. These factors suggest potential vulnerabilities or supply-chain risks.

  • Network and shell execution risks indicate potential for unauthorized interactions.
  • Incomplete metadata and suspicious links raise concerns about supply-chain interference.
Per-check LLM notes
  • Network: The network calls appear to be attempting to establish connections to a target host, which may be necessary for the package's functionality but warrants further investigation.
  • Shell: The shell execution patterns indicate the package is running system commands like 'lsof' and 'ps', which could be benign if related to monitoring or management functions, but also suggest potential for unauthorized system interaction.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code being hidden for malicious purposes.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk in terms of secret or sensitive information theft.
  • Metadata: Suspicious links and incomplete maintainer information raise concerns about potential malice or supply-chain interference.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8712 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 10 unique contributor(s) across 73 commits in n-getty/argo-shim
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ...") try: conn = http.client.HTTPConnection(TARGET_HOST, listen_port, timeout=10) headers = {"x-
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • """ try: result = subprocess.run( ["lsof", "-ti", f"TCP:{port}", "-sTCP:LISTEN"],
  • continue ps = subprocess.run( ["ps", "-o", "pid=,user=,comm=", "-p", pid]
  • d -L forward ps = subprocess.run( ["ps", "-o", "user=,comm=,args=", "-p", pid
  • dcard binds. result = subprocess.run( ["lsof", "-ti", f"TCP:{port}", "-sTCP:LISTEN"],
  • continue stat = subprocess.run( ["ps", "-o", "user=", "-p", pid],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Link to raw IP address: https://127.0.0.1:
  • Non-HTTPS external link: http://127.0.0.1:
✓ Git Repository History

Repository n-getty/argo-shim 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 argo-shim 
Create a Python-based mini-application named 'ArgoTunnel' that serves as an interactive command-line tool for managing SSH tunnels to access the Argo API. This application will leverage the 'argo-shim' package to facilitate secure and efficient communication between your local machine and the remote Argo server. Here are the key steps and features of the project:

1. **Setup**: Begin by installing 'argo-shim' and other necessary Python packages such as 'paramiko' for SSH tunneling and 'requests' for making HTTP requests.
2. **Authentication**: Implement a simple authentication mechanism where users input their SSH credentials securely. Optionally, support for SSH keys can be added for more secure logins.
3. **SSH Tunnel Management**: Use 'argo-shim' to create and manage SSH tunnels dynamically based on user inputs or configuration files. The app should be able to start, stop, and monitor these tunnels.
4. **API Access**: Once the tunnel is established, use 'argo-shim' to make HTTP requests to the Argo API, allowing users to query and manipulate data through the tunnel.
5. **Logging & Monitoring**: Integrate logging to track tunnel activities and API interactions. Provide real-time status updates and error handling to ensure users are aware of any issues.
6. **Configuration**: Allow users to configure settings like default endpoints, timeout values, and retry policies either through a config file or directly within the CLI.
7. **Interactive CLI**: Develop an intuitive command-line interface where users can easily perform actions such as starting/stopping tunnels, checking connection status, and executing API commands.
8. **Documentation**: Write comprehensive documentation detailing how to install 'ArgoTunnel', configure it for different environments, and use its various features effectively.

By the end of this project, you will have a robust, user-friendly tool that simplifies accessing the Argo API over SSH, demonstrating the power and flexibility of 'argo-shim'.

💬 Discussion Feed

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