azkees

v7.0.1 suspicious
4.0
Medium Risk

A secure and efficient Azure Key Vault client with advanced logging, concurrent operations, and Docker support

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk for common threats like network exploitation or credential theft but has a notable metadata risk due to suspicious links and missing repository information.

  • Suspicious non-HTTPS link
  • Missing repository information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Suspicious non-HTTPS link and missing repository suggest potential risk.

📦 Package Quality Overall: Low (3.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/bek42/azkees/tree/main/docs
  • Detailed PyPI description (13341 chars)
○ 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

  • 41 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

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

Email domain looks legitimate: gmail.com

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:8080
⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "bek42" 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 azkees 
Create a mini-application named 'SecureConfigurator' that leverages the 'azkees' Python package to manage sensitive configuration settings stored in Azure Key Vault. This application should serve as a robust tool for developers and DevOps engineers to securely retrieve and manage secrets across different environments.

Step 1: Setup the Project
- Initialize a new Python project.
- Install 'azkees' along with other necessary dependencies like 'azure-identity', 'azure-keyvault-secrets', and 'requests'.

Step 2: Configuration Management
- Develop a feature within 'SecureConfigurator' that allows users to add, update, delete, and retrieve secrets from Azure Key Vault using 'azkees'. This includes handling advanced logging for audit purposes and supporting concurrent operations for efficiency.

Step 3: Environment Support
- Implement environment-specific configurations within 'SecureConfigurator'. Users should be able to specify which environment (e.g., development, staging, production) they're working in, and the app will fetch the correct set of secrets accordingly.

Step 4: Secure Communication
- Ensure all communication between 'SecureConfigurator' and Azure Key Vault is encrypted. Use 'azkees' to facilitate secure connections.

Step 5: Docker Integration
- Containerize 'SecureConfigurator' using Docker, ensuring it runs seamlessly in any environment where Docker is supported. Utilize 'azkees' to handle Docker-specific configurations if needed.

Suggested Features:
- Role-based access control for secret management operations.
- Automated backups of secrets to another secure location.
- Notifications via email or webhook when secrets are accessed or modified.
- Integration with CI/CD pipelines for automated secret management during deployments.

How 'azkees' is Utilized:
- For each operation involving Azure Key Vault, use 'azkees' to interact with the vault securely and efficiently. Leverage its advanced logging capabilities to track all operations for compliance and auditing purposes. Additionally, utilize 'azkees' to manage concurrent operations, ensuring high performance even under heavy loads.

💬 Discussion Feed

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