auth-sdk-m8

v1.0.0 suspicious
4.0
Medium Risk

Shared authentication schemas, JWT utilities and FastAPI base components for m8 microservices.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly concerning metadata and non-secure links, despite having low scores in other categories.

  • Metadata risk due to non-HTTPS links
  • Limited author history
Per-check LLM notes
  • Network: The network call to _jwks_uri is likely for fetching public keys for JWT verification, which is normal for authentication packages.
  • Shell: No shell execution patterns detected, indicating no immediate risk from shell command execution.
  • Obfuscation: The observed pattern is likely used for decoding and validating encoded data, not indicative of malicious intent.
  • Credentials: No suspicious patterns indicating credential harvesting were detected.
  • Metadata: Suspicious non-HTTPS links and an author with limited history suggest potential risks, but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.4/10)

✦ High Test Suite 9.0

Test suite present — 17 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 17 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (34415 chars)
◈ Medium Contributing Guide 7.0

Some contribution signals present

  • Governance file: security.py
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in mano8/auth-sdk-m8
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • SON document.""" with urllib.request.urlopen(self._jwks_uri, timeout=5) as resp: # noqa: S310 #
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • er") decoded = json.loads(base64.b64decode(state).decode()) assert decoded["pkce"] == "my-pkce-veri
✓ 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: gmail.com>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://auth_user_service:8000/user/.well-known/jwks.json
  • Non-HTTPS external link: http://`
✓ Git Repository History

Repository mano8/auth-sdk-m8 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 auth-sdk-m8 
Create a fully functional mini-application called 'SecureNote' using Python and the 'auth-sdk-m8' package. This application will allow users to create notes that are securely stored and accessible only via user-specific authentication tokens. Here’s how you will implement it step-by-step:

1. **Setup Project Environment**: Initialize a new Python project, install necessary packages including 'auth-sdk-m8', 'fastapi', 'uvicorn', and 'pytest'.
2. **Define Authentication Flow**: Utilize 'auth-sdk-m8' to set up a registration and login system where users can register with their email and password. The package's JWT utilities should be used to generate and validate tokens.
3. **Create Note Model**: Define a model for storing notes, ensuring each note is associated with a specific user through the token validation mechanism provided by 'auth-sdk-m8'.
4. **Build API Endpoints**: Implement FastAPI endpoints for registering, logging in, creating, reading, updating, and deleting notes. Ensure these operations are protected by the authentication mechanisms from 'auth-sdk-m8'.
5. **Testing**: Write tests using 'pytest' to ensure all functionalities work as expected, especially focusing on the secure handling of tokens and data integrity.
6. **Deployment Considerations**: Discuss potential deployment strategies for your 'SecureNote' app, considering security best practices such as environment variable management for sensitive information like secret keys.

Suggested Features:
- User-friendly interface for both registration and note management.
- Password hashing for secure storage.
- Rate limiting on login attempts to prevent brute force attacks.
- Token expiration and refresh mechanism to enhance security.
- Logging of critical actions for audit purposes.

This project will demonstrate the power of 'auth-sdk-m8' in building secure, scalable applications with minimal boilerplate code.

💬 Discussion Feed

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