autoverse-cli

v0.35.0 suspicious
6.0
Medium Risk

The Autoverse CLI

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to network and shell execution concerns, with no clear signs of malicious intent but significant room for potential abuse.

  • moderate network risk
  • high shell execution risk
Per-check LLM notes
  • Network: The network calls are mostly internal to localhost and seem controlled within the package's context, indicating potential legitimate use but warranting further investigation into URLs and data being transmitted.
  • Shell: Execution of external commands like 'avrs' could indicate legitimate functionality but also poses a risk if not properly sanitized or controlled, suggesting the need for detailed review of how and when subprocesses are invoked.
  • Obfuscation: The use of base64 encoding and JSON decoding may indicate an attempt to obfuscate code, but it could also be a legitimate practice for data storage or transmission.
  • Credentials: No clear evidence of credential harvesting is present.
  • Metadata: The package has no associated GitHub repository and the author details are incomplete, indicating potential unreliability.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

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

Some documentation present

  • Brief PyPI description (604 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • urllib try: req = urllib.request.Request( url, data=body_json.encode(
  • 'POST' ) with urllib.request.urlopen(req) as response: response_body = respon
  • , body): connection = http.client.HTTPConnection('localhost', self.target_port, timeout=3) headers =
  • try: connection = http.client.HTTPConnection(sim_ip, sim_port, timeout=5) headers = {'Content
  • try: connection = http.client.HTTPConnection(sim_address, sim_port, timeout=10) connection.re
  • m_port)) connection = http.client.HTTPConnection(connection_addr, sim_port, timeout=10) headers = {'C
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • team_name)) cfg_string = base64.b64decode(cfg_data) cfg_object = json.loads(cfg_string.decode('utf
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • team_name, slot)) subprocess.run( ['avrs', 'race-cloud', 'disconnect', team_n
  • run_process(args): result = subprocess.run( args, stdout=subprocess.PIPE, stderr=subproc
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: autonomalabs.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 autoverse-cli 
Create a fully-functional mini-app named 'AutoVerse Explorer' that leverages the 'autoverse-cli' package to provide users with an interactive command-line interface for exploring and managing their AutoVerse environments. The app should allow users to easily create, manage, and interact with different environments within the AutoVerse ecosystem. Here are the steps and features you should include:

1. **Setup and Initialization**: Begin by installing the 'autoverse-cli' package and setting up your development environment. Ensure that the app initializes properly with a clear welcome message and instructions on how to start using it.
2. **Environment Management**: Implement commands that allow users to create new environments, delete existing ones, and switch between them. Each environment should be customizable with different settings and configurations.
3. **Resource Exploration**: Develop functionalities that let users explore resources within their chosen environment. This could include listing available resources, viewing details about specific resources, and searching for resources based on certain criteria.
4. **Interactive Commands**: Design interactive commands that guide users through common tasks related to their environments, such as deploying applications, configuring settings, and monitoring performance metrics.
5. **Customization Options**: Offer customization options where users can personalize their experience by setting default preferences, adjusting display formats, and saving frequently used commands for quick access.
6. **Help and Documentation**: Integrate comprehensive help documentation directly into the app. This should include detailed explanations of all commands, examples of usage, and troubleshooting tips.
7. **Security Features**: Incorporate security measures to protect user data and ensure that sensitive operations require proper authentication before execution.

The goal is to make 'AutoVerse Explorer' a versatile and user-friendly tool that simplifies the process of interacting with AutoVerse environments via the command line. Ensure that the integration of 'autoverse-cli' is seamless and enhances the overall functionality and usability of the app.

💬 Discussion Feed

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