AI Analysis
Final verdict: SUSPICIOUS
The package exhibits a moderate network risk due to its HTTP/S network calls, which require further investigation to determine legitimacy. Other risks are minimal.
- Moderate network risk due to HTTP/S calls
- Lack of package description
Per-check LLM notes
- Network: The package establishes HTTP/S network calls which may be legitimate for fetching resources or updates, but requires further investigation to confirm the purpose and destination.
- Shell: No shell execution patterns were detected, indicating a low risk of direct command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Low (3.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Documentation URL: "Documentation" -> https://antgrid.io/docs
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
39 type-annotated function signatures detected in source
○ Low
Multiple Contributors
1.0
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
ip("/") self._http = httpx.Client( timeout=timeout, headers={
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: antgrid.io>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 antgrid
Create a secure password manager mini-app using the Python package 'antgrid'. This app will allow users to securely store and manage their passwords for various online accounts. It will leverage 'antgrid' to handle encryption keys and manage wallets, ensuring that all sensitive data remains protected. Step 1: Set up the environment - Install Python and the 'antgrid' package. - Initialize a new Python project and set up a virtual environment. Step 2: Design the User Interface - Create a simple command-line interface (CLI) for interacting with the app. - Implement basic commands such as 'add', 'list', 'delete', and 'update' for managing stored passwords. Step 3: Implement Core Functionality - Use 'antgrid' to generate and manage encryption keys for each user account. - Encrypt and decrypt passwords using these keys before storing them locally. - Ensure that all data is encrypted at rest and in transit. Step 4: Enhance Security Features - Integrate two-factor authentication (2FA) for additional security when accessing the app. - Implement biometric authentication support if available on the device. - Allow users to set up recovery options in case they lose access to their primary authentication method. Step 5: Test and Deploy - Thoroughly test the app for security vulnerabilities and usability issues. - Document the setup process and usage instructions for end-users. - Consider deploying the app as a standalone executable or as a web-based application accessible via a local server.
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