AI Analysis
The package exhibits high credential risk and moderate network and shell execution risks, suggesting potential vulnerabilities or malicious intent.
- High credential risk due to direct handling of passwords.
- Moderate network and shell execution risks indicating potential for unauthorized activities.
Per-check LLM notes
- Network: Network calls are used to check status codes from external URLs, which may be legitimate but could also indicate unauthorized access attempts.
- Shell: Shell execution is used to gather information about .NET runtimes installed on the system, which seems benign but can still pose risks if misused for unintended purposes.
- Obfuscation: No signs of code obfuscation or encoding patterns were detected.
- Credentials: The code appears to be setting and asserting password values directly, which may indicate potential credential harvesting or misuse.
- Metadata: The author has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malintent.
Package Quality Overall: Medium (5.4/10)
Test suite present — 1 test file(s) found
Test runner config found: setup.cfg1 test file(s) detected (e.g. test_backend.py)
Some documentation present
Detailed PyPI description (4426 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
22 unique contributor(s) across 100 commits in Microsoft/artifacts-keyringActive community — 5 or more distinct contributors
Heuristic Checks
Found 2 network call pattern(s)
rom", download_url) with urllib.request.urlopen(download_url) as download_file: if download_rl, auth): response = requests.get(url, auth=auth) return response.status_code < 500 a
No obfuscation patterns detected
Found 1 shell execution pattern(s)
output = subprocess.check_output(["dotnet", "--list-runtimes"]).decode().strip()
Found 3 credential access pattern(s)
ord == "pass1234" assert keyring.get_password("SYSTEM", "USERNAME") is None keyring.set_password("SYSTME"] == "PASSWORD" assert keyring.get_password("SYSTEM", "USERNAME") == "PASSWORD" assert keyring.get_cSTEM", "USERNAME") assert keyring.get_password("SYSTEM", "USERNAME") is None assert not passwords w
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository Microsoft/artifacts-keyring appears legitimate
1 maintainer concern(s) found
Author "Microsoft Corporation" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a command-line utility named 'ArtiKey' that leverages the 'artifacts-keyring' package to simplify the process of managing and retrieving credentials for Azure Artifacts. This utility will enable developers to securely store and access their Azure Artifacts credentials without having to manually manage them.
The main functionalities of 'ArtiKey' include:
- **Credential Management**: Users should be able to add new credentials, update existing ones, and delete credentials.
- **Automatic Retrieval**: The tool should automatically retrieve stored credentials when needed, using the 'artifacts-keyring' package.
- **Security**: Ensure all credential data is encrypted and stored securely using keyring mechanisms provided by 'artifacts-keyring'.
- **User Interface**: Provide a simple and intuitive command-line interface for users to interact with the tool.
- **Help and Documentation**: Include comprehensive help documentation and usage examples.
Steps to implement:
1. Install the required packages ('artifacts-keyring', 'keyring', etc.).
2. Design the command-line interface using argparse or similar library.
3. Implement functions for adding, updating, deleting, and retrieving credentials using the 'artifacts-keyring' package.
4. Encrypt and securely store credentials using the keyring mechanism provided by 'artifacts-keyring'.
5. Test the utility thoroughly to ensure it works as expected and handles edge cases appropriately.
6. Add help and documentation to guide users on how to use the utility effectively.
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