armorer

v0.1.14 suspicious
4.0
Medium Risk

A secure installer for agentic applications.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to potential credential handling issues and sparse metadata. While the network and shell risks are relatively low, they still warrant caution.

  • moderate credential risk
  • sparse author metadata
Per-check LLM notes
  • Network: The network calls seem to be part of normal package functionality, possibly for model updates or API interactions.
  • Shell: Subprocess execution is observed, which could be for legitimate purposes like running external tools or scripts. However, it requires closer scrutiny to ensure no unintended behavior.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The observed pattern may indicate an attempt to retrieve credentials securely using keyring, but could also be indicative of credential harvesting depending on the context and implementation.
  • Metadata: The author's details are sparse and the account seems new or inactive, raising some suspicion but not conclusive evidence of malintent.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/ArmorerLabs/Armorer#readme
  • Detailed PyPI description (2378 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 786 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in ArmorerLabs/Armorer
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • else 80 try: with socket.create_connection((host, port), timeout=timeout): return True
  • resp = httpx.get(f"{base_url.rstrip('/')}/models", timeout=5.0)
  • Dict: try: resp = httpx.get(url, headers=headers or {}, timeout=6.0) resp.raise_
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • "] = timeout result = subprocess.run(command, **run_kwargs) output = result.stdout
  • ore_lifecycle.py`` executes ``subprocess.Popen([..., "src/armorer/core.py"])``. This thin shim re-exports f
  • rgs)) try: proc = subprocess.run( cmd, capture_output=True,
  • "inspect", image] proc = subprocess.run( cmd, capture_output=True, text=True
  • a) for a in args]] proc = subprocess.run( cmd, cwd=str(cwd) if cwd is not None else N
  • ets)) try: proc = subprocess.run( cmd, capture_output=True,
⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • try: val = keyring.get_password(self.SERVICE_NAME, key) except Exception:
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: armorerlabs.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ArmorerLabs/Armorer 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 armorer 
Create a simple yet powerful mini-application using the 'armorer' Python package to securely manage and install agents within your local environment. This application will serve as a sandbox where you can practice deploying secure, isolated environments for testing purposes.

### Application Overview:
Your mini-application should allow users to:
- Define a new agent profile with specific requirements and dependencies.
- Install the defined agent securely using Armorer's installation capabilities.
- Execute the installed agent in a safe, isolated environment.
- Monitor the agent's execution and gather logs.
- Remove the agent and clean up the environment after use.

### Core Features:
1. **Agent Profile Creation**: Users should be able to define a new agent profile specifying its name, version, required libraries, and any other necessary configuration details.
2. **Secure Installation**: Utilize Armorer's secure installation feature to ensure that the agent is installed in an isolated environment, protecting the host system from potential vulnerabilities.
3. **Execution & Monitoring**: Provide functionality to start the agent in a controlled manner and monitor its activity through logging. Logs should capture all relevant information about the agent's operation.
4. **Cleanup Mechanism**: Ensure that after the agent's task is completed, the environment can be cleaned up properly, removing all traces of the agent's presence on the system.
5. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. Commands should include options for creating profiles, installing agents, running them, monitoring their status, and cleaning up.

### How to Use Armorer:
- Use Armorer's API to handle the secure installation of agents. This includes defining the environment, specifying dependencies, and ensuring that the installation process does not compromise the integrity of the host system.
- Leverage Armorer's security features to isolate the agent's execution environment, preventing any unintended interactions with the rest of the system.
- Utilize Armorer's monitoring capabilities to track the agent's performance and collect logs for later analysis.

### Expected Outcome:
By the end of this project, you should have a fully functional mini-application capable of securely managing the lifecycle of agents from creation to cleanup. This tool will be invaluable for anyone looking to experiment with isolated, secure environments without risking the stability of their primary computing setup.

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