AI Analysis
The package shows signs of potentially risky coding practices, specifically the use of eval() with 'nosec', which could indicate poor security hygiene or intentional obfuscation. However, there are no direct indicators of malicious activity such as shell execution or network calls.
- Use of eval() with 'nosec' comment
- Single-package author account
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity without further context.
- Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands directly.
- Obfuscation: The use of eval() function with the 'nosec' comment suggests potential code injection risks, indicating malicious intent or extremely poor coding practice.
- Credentials: No clear patterns for credential harvesting were detected.
- Metadata: The author has only one package, suggesting it might be a new or less active account, but no other suspicious flags are present.
Package Quality Overall: Medium (5.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (33055 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project80 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 4 obfuscation pattern(s)
_unicode(data) return eval(data_type)(data) # nosec @classmethod def serializ_unicode(attr) return eval(data_type)(attr) # nosec @staticmethod def deseria__path__ = __import__("pkgutil").extend_path(__path__, __name__) __path__ = __import__("pkgpath__, __name__) __path__ = __import__("pkgutil").extend_path(__path__, __name__) # coding=utf-8 # ---------
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com
All external links appear legitimate
Repository Azure/azure-sdk-for-python 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 Python-based command-line tool that leverages the 'azure-mgmt-security' package to manage security settings within an Azure environment. This tool should allow users to perform several actions related to Azure Security Center, such as listing all security policies, creating new security policies, updating existing ones, and deleting unnecessary policies. Additionally, the tool should include functionality to retrieve alerts from Azure Security Center, providing users with insights into potential security threats detected within their resources. The application should also feature a user-friendly interface that supports authentication via Azure CLI or interactive login prompts. To enhance usability, consider implementing options for filtering and sorting alerts based on severity levels and time ranges. Ensure your application includes comprehensive documentation and examples for easy setup and use.
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