AI Analysis
Final verdict: SAFE
The package shows low risk indicators with no network calls, shell executions, or credential harvesting attempts. The metadata risk is slightly elevated due to the maintainer's new or inactive PyPI account and lack of PyPI classifiers.
- Low network, shell, and obfuscation risks
- Metadata quality concerns
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive PyPI account and lacks PyPI classifiers, suggesting low effort or poor metadata quality.
Package Quality Overall: Low (2.2/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
1 test file(s) detected (e.g. test_kmip_server_setup.py)
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ 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
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: akeyless.io
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 "Akeyless" 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 akeyless
Develop a secure password management tool using the 'akeyless' package in Python. This tool will serve as a robust solution for managing sensitive information such as passwords, API keys, and other secrets. The application should have the following functionalities: 1. **User Authentication**: Implement user authentication to ensure only authorized users can access the stored secrets. Utilize the 'akeyless' package to securely manage and retrieve user credentials. 2. **Secret Management**: Allow users to add, update, delete, and retrieve secrets. Secrets should be encrypted before storage and decrypted when retrieved. Use the 'akeyless' package to handle encryption/decryption processes securely. 3. **Audit Logs**: Maintain an audit log of all actions performed on secrets (addition, modification, deletion). Ensure that these logs are also managed securely using 'akeyless'. 4. **Role-Based Access Control (RBAC)**: Implement RBAC to control who can perform which actions on secrets. Different roles (e.g., admin, user) should have different levels of access. 5. **Integration with External Services**: Provide functionality to integrate with external services (e.g., GitHub, AWS) to automatically manage secrets in these environments. 6. **CLI Interface**: Develop a command-line interface (CLI) for the application to allow users to interact with the secret management tool via terminal commands. 7. **Web Interface**: Create a simple web interface to provide a graphical user experience for managing secrets. The 'akeyless' package will be crucial in providing the security layer needed for handling sensitive data. It will be used to encrypt and decrypt secrets, manage authentication tokens, and handle secure communication with the backend server. Additionally, explore how 'akeyless' can be integrated into CI/CD pipelines to automate secret management during deployment processes.