async-jwt-core

v0.2.9 safe
3.0
Low Risk

A minimal, spec-first, framework-agnostic, async-only JWT validator with zero network dependencies.

🤖 AI Analysis

Final verdict: SAFE

The package async-jwt-core v0.2.9 has low risk indicators across all categories except metadata, where it shows some signs of low maintenance. However, there are no clear indications of malicious activity.

  • No network calls detected.
  • No shell execution patterns.
  • No obfuscation or credential harvesting patterns.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a library focused on JWT handling.
  • Shell: No shell execution patterns detected, consistent with a benign package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some signs of low maintenance and quality issues, but there are no clear indications of malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • 4 test file(s) detected (e.g. test_claims.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7858 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

  • 42 type-annotated function signatures detected in source
○ 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

No suspicious network call patterns found

✓ 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

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://test
✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Bishwajit Garai" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with async-jwt-core 
Create a minimalist yet powerful command-line tool using Python that allows users to validate JSON Web Tokens (JWTs) asynchronously. This tool should utilize the 'async-jwt-core' package to ensure secure and efficient token validation without any network dependencies. Here’s a detailed guide on how to develop this application:

1. **Project Setup**: Begin by setting up your Python environment. Ensure you have Python installed and create a virtual environment for your project. Install the necessary packages, including 'async-jwt-core'.
2. **Token Validation Logic**: Implement the core functionality of validating JWTs. Use 'async-jwt-core' to handle the asynchronous validation process. Make sure to support different types of tokens such as access tokens and refresh tokens.
3. **Command-Line Interface (CLI)**: Develop a CLI where users can input their JWTs and specify validation options like secret keys or public keys for symmetric or asymmetric encryption respectively. The CLI should also allow users to choose between different algorithms supported by 'async-jwt-core', such as HS256, RS256, etc.
4. **Error Handling and Logging**: Implement robust error handling to manage cases where the token is invalid, expired, or not properly formatted. Log these errors in a user-friendly manner to help diagnose issues.
5. **Testing**: Write comprehensive tests to ensure that your application works correctly under various scenarios, including valid and invalid tokens, different algorithms, and edge cases.
6. **Documentation**: Provide clear documentation on how to install the tool, run it from the command line, and interpret the output. Include examples of valid commands and expected outcomes.
7. **Deployment**: Package your application for easy deployment. Consider using tools like PyInstaller to create standalone executables that can be distributed easily.

By following these steps, you will create a versatile and reliable tool that leverages the power of 'async-jwt-core' to provide a simple yet effective solution for JWT validation.

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