AI Analysis
The package shows low risks in network and shell activities but has incomplete metadata and uses obfuscation techniques that could hide malicious actions.
- Incomplete author information
- Use of obfuscation techniques
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: The use of base64 decoding and eval suggests some level of obfuscation, but it's likely for data deserialization rather than malicious intent.
- Credentials: No clear signs of credential harvesting or secret handling detected.
- Metadata: The author's information is incomplete and the account seems new or inactive, which raises some suspicion but not enough to conclusively determine malice.
Package Quality Overall: Medium (6.2/10)
Test suite present — 3 test file(s) found
Test runner config found: conftest.py3 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (1939 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
215 type-annotated function signatures detected in source
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
Found 6 obfuscation pattern(s)
return attr return bytes(base64.b64decode(attr)) def _deserialize_bytes_base64(attr): if isinstace("_", "/") return bytes(base64.b64decode(encoded)) def _deserialize_duration(attr): if isinstan_unicode(data) return eval(data_type)(data) # nosec # pylint: disable=eval-used @_unicode(attr) return eval(data_type)(attr) # nosec # pylint: disable=eval-used @__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com> license-expression: mit
All external links appear legitimate
Repository Azure/azure-sdk-for-python appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 Python-based application named 'CertifyGuard' that leverages the 'azure-mgmt-trustedsigning' package to manage digital certificates within a Microsoft Azure environment. CertifyGuard should allow users to perform the following actions: 1. List all certificates in a specified Azure subscription. 2. Create new certificates with customizable parameters such as validity period, subject name, etc. 3. Update existing certificates by modifying their attributes like the renewal policy. 4. Delete certificates from the Azure subscription. 5. Retrieve detailed information about a specific certificate including its status, expiration date, and usage. 6. Enable or disable auto-renewal of certificates. The application should also include a feature to monitor certificate expirations and notify users via email or SMS when a certificate is nearing its expiration date. To achieve these functionalities, the 'azure-mgmt-trustedsigning' package will be used to interact with Azure's Trustworthy Signing service, which provides a secure way to manage digital certificates. Your task is to design and implement this application, ensuring it has a user-friendly command-line interface (CLI) for interaction and integrates seamlessly with Azure's services. Additionally, provide clear documentation on how to set up and use the application, including how to authenticate with Azure using Azure Active Directory.
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